Radu Tudor Ionescu
Google Scholar | LinkedIn
Professor at the University of Bucharest
Co-founder & CTO at SecurifAI
Lead Scientist at VeridiumID
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News
September 2026 - Honored to serve as Area Chair at the 15th International Conference on Learning Representations (ICLR 2027).
August 2026 - Our paper entitled "DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts" has been accepted at the 2026 British Machine Vision Conference (BMVC 2026).
August 2026 - Honored to serve as Area Chair at the 41st Annual AAAI Conference on Artificial Intelligence (AAAI 2027).
July 2026 - Our paper entitled "Detecting and mitigating DDoS attacks with AI: A survey" has been accepted for publication in in Artificial Intelligence Review, one of the top journals in AI.
June 2026 - Our paper entitled "Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook" has been accepted for publication in ACM Computing Surveys, the top journal in computer science.
April 2026 - Our paper entitled "CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning" has been accepted at the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026).
March 2026 - Honored to serve as Area Chair at the 2026 Conference on Neural Information Processing Systems (NeurIPS 2026).
Feburary 2026 - Our paper entitled "A Large-Scale Benchmark for Evaluating Large Language Models on Medical Question Answering in Romanian" has been accepted for publication in npj Digital Medicine, one of the top journals in medical informatics.
January 2026 - Our paper entitled "Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation" has been accepted at the 2026 IEEE International Conference on Robotics and Automation (ICRA 2026).
January 2026 - Our paper entitled "Large Multimodal Models for Low-Resource Languages: A Survey" has been accepted for publication in Information Fusion, one of the top journals in artificial intelligence.
January 2026 - Our paper entitled "Text Classification Under Class Distribution Shift: A Survey" has been accepted at the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026).
January 2026 - Our paper entitled "XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark" has been accepted at the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026).
November 2025 - Our paper entitled "ExDDV: A new dataset for explainable deepfake detection in video" has been accepted at the 2026 Winter Conference on Applications of Computer Vision (WACV 2026).
November 2025 - Our paper entitled "AutoMalDesc: Large-Scale Script Analysis for Cyber Threat Research" has been accepted at the 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026).
November 2025 - Honored to receive the Academic Impact in Artificial Intelligence Award at AI Expo Europe 2025.
September 2025 - Honored to represent Romania in the Stanford University global list of top-cited scientists in various disciplines, for the fourth year in a row. I am listed in both entire career and single year impact rankings. The lists containing the names of top scientists is available here.
September 2025 - The bachelor and PhD students under my supervision obtained remarkable results at the Best Romanian AI Thesis Awards (BRAIT 2025): Carla Crivoi - Best Bachelor Thesis, Ioan-Paul Ciobanu - Best Bachelor Thesis (Honorable mention), Antonio Bărbălău - Best PhD Thesis.
August 2025 - Honored to be a member of the Senior Program Committee at the 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026).
July 2025 - Honored to serve as Area Chair at the 2025 Conference on Neural Information Processing Systems (NeurIPS 2025).
July 2025 - Our paper entitled "Masked Image Modeling: A Survey" has been accepted for publication in the International Journal of Computer Vision, the top journal in computer vision.
May 2025 - Our paper entitled "Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text" has been accepted at the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025).
March 2025 - Our paper entitled "Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation" has been accepted for publication in Artificial Intelligence Review, one of the top journals in AI.
February 2025 - Our paper entitled "Curriculum Direct Preference Optimization for Diffusion and Consistency Models" has been accepted at the 2025 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2025).
February 2025 - Our paper entitled "PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction" has been accepted at the 2025 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2025).
February 2025 - Our paper entitled "RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety" has been accepted at the 2025 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2025).
October 2024 - Our paper entitled "Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers" has been accepted at the 2025 Winter Conference on Applications of Computer Vision (WACV 2025).
October 2024 - Our paper entitled "Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets" has been accepted at the 2025 Winter Conference on Applications of Computer Vision (WACV 2025).
October 2024 - Our paper entitled "DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID" has been accepted at the 2025 Winter Conference on Applications of Computer Vision (WACV 2025).
October 2024 - Our paper entitled "Reverse Stable Diffusion: What prompt was used to generate this image?" has been accepted for publication in Computer Vision and Image Understanding, one of the top journals in computer vision.
September 2024 - The bachelor, master's and PhD students under my supervision obtained remarkable results at the Best Romanian AI Thesis Awards (BRAIT 2024): Daria Broscoțeanu - Best Bachelor Thesis (Honorable mention), Adriana Valentina Costache - Best Master’s Thesis (Honorable mention), Iuliana Georgescu - Best PhD Thesis.
September 2024 - Grateful to represent Romania in the Stanford University global list of top-cited scientists in various disciplines, for the third year in a row. This year I am listed in the ranking for the entire career, as well as in the ranking for the single year impact. The lists containing the names of top scientists is available here.
July 2024 - Our paper entitled "Cascaded Cross-Modal Transformer for Audio-Textual Classification" has been accepted for publication in Artificial Intelligence Review, one of the top journals in artificial intelligence.
July 2024 - Our paper entitled "Lightning Fast Video Anomaly Detection via Multi-Scale Adversarial Distillation" has been accepted for publication in Computer Vision and Image Understanding, one of the top journals in computer vision.
July 2024 - Our paper entitled "Learning Rate Curriculum" has been accepted for publication in the International Journal of Computer Vision, the top journal in computer vision.
July 2024 - Our paper entitled "CBM: Curriculum by Masking" has been accepted at the 27th European Conference on Artificial Intelligence (ECAI 2024).
May 2024 - Our paper entitled "A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus" has been accepted at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).
April 2024 - Honored to be a member of the Senior Program Committee at the 27th European Conference on Artificial Intelligence (ECAI 2024).
April 2024 - Honored to serve as Area Chair at the 2024 Conference on Neural Information Processing Systems (NeurIPS 2024).
March 2024 - Our paper entitled "RoDia: A New Dataset for Romanian Dialect Identification from Speech" has been accepted at the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024).
February 2024 - Our paper entitled "Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors" has been accepted at the 2024 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024).
February 2024 - Honored to be an Area Chair at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).
December 2023 - Honored to join the Editorial Board of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), one of the top journals in our scientific field.
October 2023 - Our paper entitled "CL-MAE: Curriculum-Learned Masked Autoencoders" has been accepted at the 2024 Winter Conference on Applications of Computer Vision (WACV 2024).
October 2023 - Grateful to represent Romania in the Stanford University global list of top-cited scientists in various disciplines, for the second year in a row. This year I am listed in the top 1% for single recent year impact (2022). The ranking lists containing the names of top scientists is available here.
October 2023 - Our paper entitled "A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles" has been accepted at the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023).
October 2023 - Our paper entitled "Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection" has been accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence, the top journal in our scientific field.
September 2023 - I am co-organizing the 4th Real-World Surveillance: Applications and Challenges Workshop at WACV 2024. More details about the workshop and call for papers are here.
July 2023 - Our paper entitled "Cascaded Cross-Modal Transformer for Request and Complaint Detection" has been accepted at the 31st ACM International Conference on Multimedia (ACMMM 2023).
July 2023 - Our paper entitled "Nonlinear Neurons with Human-like Apical Dendrite Activations" has been accepted for publication in Applied Intelligence, one of the top journals in our scientific field.
July 2023 - Our paper entitled "Audiovisual Masked Autoencoders" has been accepted at the International Conference on Computer Vision (ICCV 2023).
June 2023 - Honored to serve as Area Chair at the 2023 Conference on Neural Information Processing Systems (NeurIPS 2023).
May 2023 - Honored to be among the top 15 professors from the University of Bucharest with over 5,000 citations on Google Scholar. The entire list can be consulted here.
April 2023 - Our paper entitled "iQPP: A Benchmark for Image Query Performance Prediction" has been accepted at the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
March 2023 - Our paper entitled "CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation" has been accepted for publication in Neurocomputing, one of the top journals in our scientific field.
March 2023 - Our paper entitled "Diffusion Models in Vision: A Survey" has been accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence, the top journal in our scientific field.
February 2023 - Our tutorial on "Recent Advances in Anomaly Detection" with speakers from Harvard, Google, SMU, CFAR and University of Bucharest was accepted at CVPR 2023, the top conference in the field. The list of CVPR 2023 tutorials, which includes our tutorial, is available here.
February 2023 - Our paper entitled "SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection" has been accepted for publication in Computer Vision and Image Understanding, one of the top journals in our scientific field.
January 2023 - Honored to be an Area Chair at the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023).
November 2022 - Honored to be included in Stanford University global list of the top 2% of scientists in various disciplines. The ranking lists containing the names of top scientists, doctors, engineers and mathematicians is available here.
November 2022 - Honored to serve as Demo Chair at the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023).
October 2022 - Our paper entitled "Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution" has been accepted at the 2023 Winter Conference on Applications of Computer Vision (WACV 2023).
October 2022 - I am co-organizing the 3rd Real-World Surveillance: Applications and Challenges Workshop at WACV 2023. More details about the workshop and call for papers are here.
October 2022 - Our paper entitled "Rethinking the Authorship Verification Experimental Setups" has been accepted at the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022).
September 2022 - Our paper entitled "VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web" has been accepted at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022).
June 2022 - Our paper entitled "SepTr: Separable Transformer for Audio Spectrogram Processing" has been accepted at the 23rd INTERSPEECH (INTERSPEECH 2022).
April 2022 - I am co-organizing the 2nd Real-World Surveillance: Applications and Challenges Workshop at ECCV 2022. More details about the workshop and call for papers are here.
March 2022 - Our paper entitled "Curriculum Learning: A Survey" has been accepted for publication in the International Journal of Computer Vision, the top journal in computer vision.
March 2022 - Our paper entitled "UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection" has been accepted at the 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022).
March 2022 - Our paper entitled "Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection" has been accepted at the 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022).
January 2022 - Honored to be an Area Chair at the 26th International Conference on Pattern Recognition (ICPR 2022).
November 2021 - Our paper entitled "The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification" has been accepted for publication in the International Journal of Intelligent Systems, one of the top journals in our scientific field.
October 2021 - Our paper entitled "A realistic approach to generate masked faces applied on two novel masked face recognition data sets" has been accepted at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021).
August 2021 - I am co-organizing the 1st Real-World Surveillance: Applications and Challenges Workshop at WACV 2022. More details about the workshop and call for papers are here.
July 2021 - Our paper entitled "LiRo: Benchmark and leaderboard for Romanian language tasks" has been accepted at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021).
June 2021 - Our paper entitled "Self-paced ensemble learning for speech and audio classification" has been accepted at the 22nd INTERSPEECH (INTERSPEECH 2021).
May 2021 - Our paper entitled "SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles" has been accepted at the 2021 Annual Meeting of the Association for Computational Linguistics (ACL 2021).
April 2021 - Our paper entitled "A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video" has been accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence, the top journal in our scientific field.
April 2021 - Our paper entitled "FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection" has been accepted at the 2021 International Joint Conference on Neural Networks (IJCNN 2021).
April 2021 - Honored to be the winners of the Josef Umdasch Research Prize 2021 out of 87 participants from around the world!
February 2021 - Our paper entitled "Anomaly Detection in Video via Self-Supervised and Multi-Task Learning" has been accepted at the 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021).
January 2021 - Our paper entitled "Curriculum self-paced learning for cross-domain object detection" has been accepted for publication in the journal Computer Vision and Image Understanding.
January 2021 - Our paper entitled "Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set" has been accepted at the 2021 European Chapter of the Association for Computational Linguistics (EACL 2021).
September 2020 - Our paper entitled "Black-Box Ripper: Copying black-box models using generative evolutionary algorithms" has been accepted as oral (top 1%) at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020).
August 2020 - Our paper entitled "SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition" has been accepted at the 2021 Winter Conference on Applications of Computer Vision (WACV 2021).
July 2020 - Our paper entitled "Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs" has been accepted at the 21st INTERSPEECH (INTERSPEECH 2020).
June 2020 - Our paper entitled "A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI" has been accepted at the 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020).
May 2020 - Honored to be an Area Chair at the 25th International Conference on Pattern Recognition (ICPR 2020).
March 2020 - Our paper entitled "A breach into the Authentication with Built-in Camera (ABC) Protocol" has been accepted at the 18th International Conference on Applied Cryptography and Network Security (ACNS 2020).
September 2019 - Our paper entitled "Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)" has been accepted at the 2020 Winter Conference on Applications of Computer Vision (WACV 2020).
May 2019 - Our paper entitled "MOROCO: The Moldavian and Romanian Dialectal Corpus" has been accepted at the 2019 Annual Meeting of the Association for Computational Linguistics (ACL 2019).
February 2019 - Our paper entitled "Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video" has been accepted at the 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019).
February 2019 - Our paper entitled "Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation" has been accepted at the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019).
November 2018 - Honored to obtain my habilitation degree at the University of Bucharest, which enables me to supervise PhD students.
November 2018 - Honored to receive an award from the Romanian ANIS Association for introducing the Computer Vision course for 3rd year students at the University of Bucharest. All the winners have been announced here.
September 2018 - Honored to be awarded the "Danubius Young Scientist Award 2018 for Romania" by the Austrian Federal Ministry of Education, Science and Research and by the Institute for the Danube Region and Central Europe to honor the extraordinary achievements in my scientific activity. Details about the award can be found here.
September 2018 - Our paper entitled "Detecting abnormal events in video using Narrowed Normality Clusters" has been accepted at the 2019 Winter Conference on Applications of Computer Vision (WACV 2019).
August 2018 - Our paper entitled "Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set" has been accepted at the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018).
May 2018 - Andrei Butnaru and I ranked on the 1st place in the Arabic Dialect Identification Shared Task, which is part of the DSL 2018 Challenge of the COLING 2018 VarDial Workshop.
April 2018 - Our paper entitled "Automated essay scoring with string kernels and word embeddings" has been accepted at the 2018 Annual Meeting of the Association for Computational Linguistics (ACL 2018).
September 2017 - Honored to receive the Best Invited Session Award for our session on Supervised versus Unsupervised Methods for Intelligent Text Processing at the International KES 2017 Conference.
July 2017 - Honored to be selected as an Outstanding Reviewer for the ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017).
July 2017 - Our paper entitled "Unmasking the abnormal events in video" has been accepted at the 2017 International Conference on Computer Vision (ICCV 2017).
July 2017 - Marius Popescu and I ranked on the 1st place in all three tracks (essay, speech and fusion) of the Native Language Identification Shared Task of the BEA-12 Workshop of EMNLP 2017.
June 2017 - Honored to be awarded the 3rd place in the annual "Young Researchers in Science and Engineering" Prize organized by prof. Rada Mihalcea for young Romanian researchers in all scientific fields. The winners have been announced here.
February 2017 - Andrei Butnaru and I ranked on the 1st place in the Arabic Dialect Identification Shared Task, which is part of the DSL 2017 Challenge of the EACL 2017 VarDial Workshop.
January 2017 - Our paper entitled "ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing" has been accepted at the 2017 European Chapter of the Association for Computational Linguistics (EACL 2017).
September 2016 - Marius Popescu and I ranked on the 2nd place in the Arabic Dialect Identification Shared Task, which is part of the DSL 2016 Challenge of the COLING 2016 VarDial Workshop.
June 2016 - We released the "Visual Search Difficulty Data Set" and open source code to train a regression model for difficulty prediction. The data set and code are available for download here.
April 2016 - Our book on "Knowledge Transfer between Computer Vision and Text Mining" is now available online on SpringerLink.
March 2016 - Our paper entitled "How hard can it be? Estimating the difficulty of visual search in an image" has been accepted at the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016).
December 2015 - We have released open source Java implementations of string kernels. The code is available for download here.
December 2015 - We have released an open source Java implementation of Local Rank Distance. The code is available for download here.
March 2015 - We have just released the second version of the Biomass Texture data set. Along with the data set, we have also released an iOS application for biomass type identification called BiomassID.
January 2015 - Honored to give an invited talk at DACS 2015, a workshop affiliated to CiE to be held in June 2015.
November 2014 - I was recently invited by the Ad Astra Association for a blog interview. The interview has been published here.
September 2014 - Honored to receive the 2014 Award for Excellence in Research in the field of Computer Science from the Ad Astra Association.
July 2014 - Our paper entitled "Can characters reveal your native language? A language-independent approach to native language identification" has been accepted at the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014).
July 2014 - We have released open source Java and C/C++ implementations of the LRD aligner. The code is available for download here.
June 2014 - We have released open source Matlab and C/C++ implementations of the PQ kernel. The code is available for download here.
January 2014 - We have just released the first version of the Biomass Texture data set of images.
December 2013 - Honored to obtain my PhD in Machine Learning from the University of Bucharest. The thesis is available for download here.
September 2013 - My paper entitled "Kernels for Visual Words Histograms" was awarded the "Caianiello Best Young Paper Award" at ICIAP 2013, and received an invitation to be extended and published in Pattern Recognition Letters.
May 2013 - Marius Popescu, Cristi Grozea and I ranked on the 4th place in the Facial Expression Recognition Challenge of the WREPL Workshop of ICML 2013.
April 2013 - Marius Popescu and I ranked on the 3rd place in the Native Language Identification Shared Task of the BEA-8 Workshop of NAACL 2013.
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Interests
artificial intelligence, machine learning, deep learning, computer vision, image processing, text mining, computational linguistics, medical imaging
Published articles
178. Vlad Hondru, Florinel-Alin Croitoru, Iuliana Georgescu, A. Sophia Koepke, Radu Tudor Ionescu. DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts. In Proceedings of BMVC, 2026.
177. Christian Razo, Nicole K. DeCleene, Catherine O. Johnson, Benjamin A. Stark, Kate LeGrand, ..., Radu Tudor Ionescu, ..., Christopher J.L. Murray, Gregory A. Roth. Global Burden of Elevated LDL-C: Findings From the Global Burden of Disease Study 2023. JAMA (Journal of the American Medical Association), 2026.
176. Alexandru Apostu, Silviu-Florin Gheorghe, Andrei Hîji, Nicolae Cleju, Andrei Pătraşcu, Cristian Rusu, Radu Tudor Ionescu, Paul Irofti. Detecting and mitigating DDoS attacks with AI: A survey. Artificial Intelligence Review, 2026.
175. Florinel-Alin Croitoru, Andrei-Iulian Hîji, Vlad Hondru, Nicolae Cătălin Ristea, Paul Irofti, Marius Popescu, Cristian Rusu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah. Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook. ACM Computing Surveys, 2026.
174. Simona Coniac, Radu Tudor Ionescu, Mariana Cristina Costache-Ouțaș, Ionuț-Lucian Antone-Iordache, Ana-Maria Barbu, Victor Teodor Bardan, Andreea Zamfir, Andreea-Iuliana Ionescu, Corin Badiu. Integration of Hierarchical Clustering in Hematologic Biomarkers Prediction for Endocrine Toxicity During Immunotherapy in Lung Cancer Patients. Scientific Reports, 2026.
173. Cemil-Andrei Dilmac, Florinel-Alin Croitoru, Radu Tudor Ionescu. Few-Medoids: An Embarrassingly Simple Coreset Selection Method for Few-Shot Knowledge Distillation. In Proceedings of KES, 2026.
172. Andrei-George Durdun, Victor Constantinescu, Radu Tudor Ionescu. Audio Sentiment Analysis via Distillation and Cross-Modal Integration of Generated Multilingual Transcripts. In Proceedings of KES, 2026.
171. Andrei Dumitriu, Aakash Ralhan, Florin Miron, Florin Tatui, Radu Tudor Ionescu, Radu Timofte, Abdullah Naeem, Anav Katwal, Ayon Dey, Md Tamjidul Hoque, Asuka Shin, Hiroto Shirono, Kosuke Shigematsu, Gaurav Mahesh, Anjana Nanditha, Jiji CV, Akbarali Vakhitov, Sang-Chul Lee, Xinger Li, Chun'an Yu, Junhao Chen, Yang Yang, Gundluri Yuvateja Reddy, Harshitha Palaram, Jiachen Tu, Guoyi Xu, Yaoxin Jiang, Jiajia Liu, Yaokun Shi, Amitabh Tripathi, Modugumudi Mahesh, Santosh Kumar Vipparthi, Subrahmanyam Murala. NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge Report. In Proceedings of NTIRE (CVPR Workshop), 2026.
170. Ileana-Raluca Pătru, Dimitrie-Ionuț Atasiei, Radu Tudor Ionescu, Alina Gabriela Negru, Ionut-Lucian Antone-Iordache, Maria Iordache, Alexandra Valentina Anghel, Andreea-Iuliana Ionescu. Immune-Checkpoint-Inhibitor-Related Cardiovascular Toxicities in Cancer: A Mechanistic Review of Molecular Pathways with AI-Assisted Literature Clustering. International Journal of Molecular Sciences, 2026.
169. Alexandra Dragomir, Florin Brad, Radu Tudor Ionescu. CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning. In Proceedings of ACL, 2026.
168. Carla Crivoi, Radu Tudor Ionescu. Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study. In Proceedings of ICPR, 2026.
167. Kayleigh Bhangdia, Miranda L. May, Jonathan M. Kocarnik, Natalie Pritchett, Andrew Crist, ..., Radu Tudor Ionescu, ..., Lisa M. Force, Marie Ng. Global, regional, and national burden of breast cancer among females, 1990–2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023. Lancet Oncology, 2026.
166. Ana-Cristina Rogoz, Radu Tudor Ionescu, Alexandra-Valentina Anghel, Ionuț-Lucian Antone-Iordache, Simona Coniac, Andreea Iuliana Ionescu. A Large-Scale Benchmark for Evaluating Large Language Models on Medical Question Answering in Romanian. npj Digital Medicine, 2026.
165. Hugo Carlesso, Josiane Mothe, Radu Tudor Ionescu. Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation. In Proceedings of ICRA, 2026.
164. Marian Lupașcu, Ana-Cristina Rogoz, Mihai-Sorin Stupariu, Radu Tudor Ionescu. Large Multimodal Models for Low-Resource Languages: A Survey. Information Fusion, 2026.
163. Adriana Valentina Costache, Silviu-Florin Gheorghe, Eduard Poesina, Paul Irofti, Radu Tudor Ionescu. Text Classification Under Class Distribution Shift: A Survey. In Proceedings of EACL, 2026.
162. Ioan-Paul Ciobanu, Andrei-Iulian Hîji, Nicolae Cătălin Ristea, Paul Irofti, Cristian Rusu, Radu Tudor Ionescu. XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark. In Proceedings of EACL, 2026.
161. Vlad Hondru, Eduard Hogea, Darian Onchiș, Radu Tudor Ionescu. ExDDV: A new dataset for explainable deepfake detection in video. In Proceedings of WACV, 2026.
160. Alexandru-Mihai Apostu, Andrei Preda, Alexandra Daniela Damir, Diana Bolocan, Radu Tudor Ionescu, Ioana Croitoru, Mihaela Găman. AutoMalDesc: Large-Scale Script Analysis for Cyber Threat Research. In Proceedings of AAAI, 2026.
159. Hugo Carlesso, Maria Eliza Pătulea, Moncef Garouani, Radu Tudor Ionescu, Josiane Mothe. GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation. In Proceedings of CBMI, 2025.
158. Maria Chiper, Radu Tudor Ionescu. Every Character Counts: From Vulnerability to Defense in Phishing Detection. In Proceedings of ICTAI, 2025.
157. Andrei Dumitriu, Florin Miron, Florin Tătui, Radu Tudor Ionescu, Radu Timofte, Aakash Ralhan, Florin-Alexandru Vasluianu, Shenyang Qian, Mitchell Harley, Imran Razzak, Yang Song, Pu Luo, Yumei Li, Cong Xu, Jinming Chai, Kexin Zhang, Licheng Jiao, Lingling Li, Siqi Yu, Chao Zhang, Kehuan Song, Fang Liu, Puhua Chen, Xu Liu, Jin Hu, Jinyang Xu, Biao Liu. AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report. In Proceedings of AIM (ICCV Workshop), 2025.
156. Vlad Hondru, Florinel Alin Croitoru, Shervin Minaee, Radu Tudor Ionescu, Nicu Sebe. Masked Image Modeling: A Survey. International Journal of Computer Vision, 2025.
155. Andrei Jarcă, Florinel-Alin Croitoru, Radu Tudor Ionescu. Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text. In Proceedings of ACL, 2025.
154. Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Nicu Sebe, Mubarak Shah. Curriculum Direct Preference Optimization for Diffusion and Consistency Models. In Proceedings of CVPR, 2025.
153. Eduard Poesina, Adriana Valentina Costache, Adrian-Gabriel Chifu, Josiane Mothe, Radu Tudor Ionescu. PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction. In Proceedings of CVPR, 2025.
152. Andrei Dumitriu, Florin Tătui, Florin Miron, Aakash Ralhan, Radu Tudor Ionescu, Radu Timofte. RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety. In Proceedings of CVPR, 2025.
151. Vlad Hondru, Radu Tudor Ionescu. Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation. Artificial Intelligence Review, 2025.
150. Diana Nicoleta Grigore, Mariana-Iuliana Georgescu, Jon Alvarez Justo, Tor Arne Johansen, Andreea Iuliana Ionescu, Radu Tudor Ionescu. Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers. In Proceedings of WACV, 2025.
149. Adrian Iordache, Bogdan Alexe, Radu Tudor Ionescu. Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets. In Proceedings of WACV, 2025.
148. Nyle Siddiqui, Florinel-Alin Croitoru, Gaurav Kumar Nayak, Radu Tudor Ionescu, Mubarak Shah. DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID. In Proceedings of WACV, 2025.
147. Jacob V. Dueholm, Mia Siemon, Radu Tudor Ionescu, Thomas B. Moeslund, Kamal Nasrollahi. Harborfront Anomaly Detection. Neural Processing Letters, 2025.
146. Jon Alvarez Justo, Dennis D. Langer, Simen Berg, Jens Nieke, Radu Tudor Ionescu, Per Gunnar Kjeldsberg, Tor Arne Johansen. Hyperspectral Image Segmentation for Optimal Satellite Operations: In-orbit Deployment of 1D-CNN. Remote Sensing, 2025.
145. Jon Alvarez Justo, Alexandru Ghiță, Daniel Kovac, Joseph L. Garrett, Mariana-Iuliana Georgescu, Jesus Gonzalez-Llorente, Radu Tudor Ionescu, Tor Arne Johansen. Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.
144. Vlad Hondru, Radu Tudor Ionescu. Active Self-Paced Knowledge Distillation and Diffusion-Based Generation for Few-Call Model Stealing. In Proceedings of ICPR, 2024.
143. Rafael Edy Menadil, Mariana-Iuliana Georgescu, Radu Tudor Ionescu. Learning Using Generated Privileged Information by Text-to-Image Diffusion Models. In Proceedings of ICPR, 2024.
142. Ana-Cristina Rogoz, Maria Ilinca Nechita, Radu Tudor Ionescu. PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts. In Proceedings of ICPR, 2024.
141. Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah. Reverse Stable Diffusion: What prompt was used to generate this image? Computer Vision and Image Understanding, 2024.
140. Andrei Jarcă, Florinel-Alin Croitoru, Radu Tudor Ionescu. CBM: Curriculum by Masking. In Proceedings of ECAI, 2024.
139. Nicolae Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu. Cascaded Cross-Modal Transformer for Audio-Textual Classification. Artificial Intelligence Review, 2024.
138. Florinel-Alin Croitoru, Nicolae Cătălin Ristea, Dana Dăscălescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah. Lightning Fast Video Anomaly Detection via Multi-Scale Adversarial Distillation. Computer Vision and Image Understanding, 2024.
137. Florinel-Alin Croitoru, Nicolae Cătălin Ristea, Radu Tudor Ionescu, Nicu Sebe. Learning Rate Curriculum. International Journal of Computer Vision, 2024.
136. Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu. A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. In Proceedings of ACL, 2024.
135. Adrian-Gabriel Chifu, Goran Glavaš, Radu Tudor Ionescu, Nikola Ljubešić, Aleksandra Miletić, Filip Miletić, Yves Scherrer, Ivan Vulić. VarDial Evaluation Campaign 2024: Commonsense Reasoning in Dialects and Multi-Label Similar Language Identification. In Proceedings of VarDial (NAACL Workshop), 2024.
134. Ana-Cristina Rogoz, Radu Tudor Ionescu. UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions. In Proceedings of BEA (NAACL Workshop), 2024.
133. Codruț Rotaru, Nicolae Cătălin Ristea, Radu Tudor Ionescu. RoDia: A New Dataset for Romanian Dialect Identification from Speech. In Proceedings of NAACL, 2024.
132. Nicolae Cătălin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu, Marius Popescu, Fahad Shahbaz Khan, Mubarak Shah. Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors. In Proceedings of CVPR, 2024.
131. Alexandru Ghiță, Radu Tudor Ionescu. A New Loss for Image Retrieval: Class Anchor Margin. In Proceedings of PAKDD, 2024.
130. Andreea-Iuliana Ionescu, Dimitrie-Ionuț Atasiei, Radu Tudor Ionescu, Flavia Ultimescu, Andrei-Alexandru Barnonschi, Alexandra-Valentina Anghel, Cătălin-Alexandru Anghel, Ionuț Lucian Antone-Iordache, Ruxandra Mitre, Alexandra Maria Bobolocu, Andreea Zamfir, Horia-Dan Lișcu, Simona Coniac, Florica Sandru. Prediction of Subclinical and Clinical Multiple Organ Failure Dysfunction in Breast Cancer Patients - A Review Using AI Tools. Cancers, 2024.
129. Alexandru Ghiță, Radu Tudor Ionescu. Class Anchor Margin Loss for Content-Based Image Retrieval. In Proceedings of ICAART, 2024.
128. Neelu Madan, Nicolae-Catalin Ristea, Kamal Nasrollahi, Thomas B. Moeslund, Radu Tudor Ionescu. CL-MAE: Curriculum-Learned Masked Autoencoders. In Proceedings of WACV, 2024.
127. Neelu Madan, Nicolae Cătălin Ristea, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah. Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
126. Daria Mihaela Broscoțeanu, Radu Tudor Ionescu. A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles. In Proceedings of EMNLP, 2023.
125. Jon Alvarez Justo, Joseph Garrett, Dennis Langer, Marie Henriksen, Radu Tudor Ionescu, Tor Arne Johansen. An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the HYPSO-1 Satellite. In Proceedings of WHISPERS, 2023.
124. Nicolae Cătălin Ristea, Radu Tudor Ionescu. Cascaded Cross-Modal Transformer for Request and Complaint Detection. In Proceedings of ACMMM, 2023.
123. Lucian Bicsi, Bogdan Alexe, Radu Tudor Ionescu, Marius Leordeanu. JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition. In Proceedings of LIMIT (ICCV Workshop), 2023.
122. Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab. Audiovisual Masked Autoencoders. In Proceedings of ICCV, 2023.
121. Mihaela Găman, Adrian-Gabriel Chifu, William Domingues, Radu Tudor Ionescu. FreCDo: A Large Corpus for French Cross-Domain Dialect Identification. In Proceedings of KES, 2023.
120. Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Nicolae Cătălin Ristea, Nicu Sebe. Nonlinear Neurons with Human-like Apical Dendrite Activations. Applied Intelligence, 2023.
119. Andrei Dumitriu, Florin Tătui, Florin Miron, Radu Tudor Ionescu, Radu Timofte. Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results. In Proceedings of NTIRE (CVPR Workshop), 2023.
118. Eduard Poesina, Radu Tudor Ionescu, Josiane Mothe. iQPP: A Benchmark for Image Query Performance Prediction. In Proceedings of SIGIR, 2023.
117. Nicolae Cătălin Ristea, Andreea-Iuliana Miron, Olivian Savencu, Mariana-Iuliana Georgescu, Nicolae Verga, Fahad Shahbaz Khan, Radu Tudor Ionescu. CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation. Neurocomputing, 2023.
116. Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah. Diffusion Models in Vision: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
115. Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron. Diversity-Promoting Ensemble for Medical Image Segmentation. In Proceedings of SAC, 2023.
114. Antonio Bărbălău, Radu Tudor Ionescu, Mariana-Iuliana Georgescu, Jacob Dueholm, Bharathkumar Ramachandra, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah. SSMTL++: Revisiting self-supervised multi-task learning for video anomaly detection. Computer Vision and Image Understanding, 2023.
113. Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae Cătălin Ristea, Nicolae Verga, Fahad Shahbaz Khan. Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. In Proceedings of WACV, 2023.
112. Andrei Manolache, Florin Brad, Antonio Bărbălău, Radu Tudor Ionescu, Marius Popescu. VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web. In Proceedings of NeurIPS, 2022.
111. Florin Brad, Andrei Manolache, Elena Burceanu, Antonio Bărbălău, Radu Tudor Ionescu, Marius Popescu. Rethinking the Authorship Verification Experimental Setups. In Proceedings of EMNLP, 2022.
110. Adrian Șandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu. Feature-level augmentation to improve robustness of deep neural networks to affine transformations. In Proceedings of AROW (ECCV Workshop), 2022.
109. Mihaela Găman, Lida Ghadamiyan, Radu Tudor Ionescu, Marius Popescu. Self-paced learning to improve text row detection in historical documents with missing labels. In Proceedings of TiE (ECCV Workshop), 2022.
108. Noëmi Aepli, Antonios Anastasopoulos, Adrian-Gabriel Chifu, William Domingues, Fahim Faisal, Mihaela Gaman, Radu Tudor Ionescu, Yves Scherrer. Findings of the VarDial Evaluation Campaign 2022. In Proceedings of VarDial (COLING Workshop), 2022.
107. Nicolae Cătălin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan. SepTr: Separable Transformer for Audio Spectrogram Processing. In Proceedings of INTERSPEECH, 2022.
106. Ismat Ara Reshma, Josiane Mothe, Sylvain Cussat-Blanc, Hervé Luga, Camille Franchet, Margot Gaspard, Pierre Brousset, Radu Tudor Ionescu. A Study on the Impact of Class Distribution on Deep Learning - The Case of Histological Images and Cancer Detection. In Proceedings of CIRCLE, 2022.
105. Florinel-Alin Croitoru, Diana Nicoleta Grigore, Radu Tudor Ionescu. Discriminability-enforcing loss to improve representation learning. In Proceedings of ECV (CVPR Workshop), 2022.
104. Nicolae Cătălin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah. Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. In Proceedings of CVPR, 2022.
103. Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah. UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. In Proceedings of CVPR, 2022.
102. Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe. Curriculum Learning: A Survey. International Journal of Computer Vision, 2022.
101. Ismat Ara Reshma, Camille Franchet, Margot Gaspard, Radu Tudor Ionescu, Josiane Mothe, Sylvain Cussat-Blanc, Hervé Luga, Pierre Brousset. Finding a Suitable Class Distribution for Building Histological Images Data Sets Used in Deep Model Training - the Case of Cancer Detection. Journal of Digital Imaging, 2022.
100. Mariana Iuliana Georgescu, Georgian Duță, Radu Tudor Ionescu. Teacher-Student Training and Triplet Loss to Reduce the Effect of Drastic Face Occlusion. Machine Vision and Applications, 2022.
99. Tudor Mare, Georgian Duță, Mariana Iuliana Georgescu, Adrian Șandru, Bogdan Alexe, Marius Popescu, Radu Tudor Ionescu. A realistic approach to generate masked faces applied on two novel masked face recognition data sets. In Proceedings of NeurIPS, 2021.
98. Ștefan Daniel Dumitrescu, Petru Rebeja, Beata Lorincz, Mihaela Găman, Andrei Avram, Mihai Ilie, Andrei Pruteanu, Adriana Stan, Lorena Roșia, Cristina Iacobescu, Luciana Morogan, George Dima, Gabriel Marchidan, Traian Rebedea, Mădălina Chitez, Dani Yogatama, Sebastian Ruder, Radu Tudor Ionescu, Răzvan Pașcanu, Viorica Pătrăucean. LiRo: Benchmark and leaderboard for Romanian language tasks. In Proceedings of NeurIPS, 2021.
97. Mihaela Găman, Radu Tudor Ionescu. The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identification. International Journal of Intelligent Systems, 2021.
96. Nicolae Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu. Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks. IEEE Access, 2021.
95. Ionuț Cosmin Duță, Mariana Iuliana Georgescu, Radu Tudor Ionescu. Contextual Convolutional Neural Networks. In Proceedings of NeurArch (ICCV Workshop), 2021.
94. Mihail Burduja, Radu Tudor Ionescu. Unsupervised Medical Image Alignment with Curriculum Learning. In Proceedings of ICIP, 2021.
93. Nicolae Cătălin Ristea, Radu Tudor Ionescu. Self-paced ensemble learning for speech and audio classification. In Proceedings of INTERSPEECH, 2021.
92. Cezara Benegui, Radu Tudor Ionescu. Improving the Authentication with Built-in Camera Protocol Using Built-in Motion Sensors: A Deep Learning Solution. Mathematics, 2021.
91. Ana-Cristina Rogoz, Mihaela Găman, Radu Tudor Ionescu. SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles. In Proceedings of ACL, 2021.
90. Radu Tudor Ionescu, Adrian G. Chifu. FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. In Proceedings of IJCNN, 2021.
89. Nicolae Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar. Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks. In Proceedings of EVW (CVPR Workshop), 2021.
88. Mariana Iuliana Georgescu, Antonio Bărbălău, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah. Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. In Proceedings of CVPR, 2021.
87. Mariana Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah. A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
86. Bharathi Raja Chakravarthi, Mihaela Găman, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Linden, Nikola Ljubesic, Niko Partanen, Ruba Priyadharshini, Christoph Purschke, Eswari Rajagopal, Yves Scherrer, Marcos Zampieri. Findings of the VarDial Evaluation Campaign 2021. In Proceedings of VarDial (EACL Workshop), 2021.
85. Mihaela Găman, Sebastian Cojocariu, Radu Tudor Ionescu. UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning. In Proceedings of VarDial (EACL Workshop), 2021.
84. Anca Maria Tache, Mihaela Găman, Radu Tudor Ionescu. Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set. In Proceedings of EACL, 2021.
83. Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu, Hervé Luga, Josiane Mothe. Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection. In Proceedings of SAC, 2021.
82. Petru Soviany, Radu Tudor Ionescu, Paolo Rota, Nicu Sebe. Curriculum self-paced learning for cross-domain object detection. Computer Vision and Image Understanding, 2021.
81. Adrian Șandru, Georgian Duță, Mariana Iuliana Georgescu, Radu Tudor Ionescu. SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition. In Proceedings of WACV, 2021.
80. Mihaela Găman, Dirk Hovy, Radu Tudor Ionescu, Heidi Jauhiainen, Tommi Jauhiainen, Krister Linden, Nikola Ljubesic, Niko Partanen, Christoph Purschke, Yves Scherrer, Marcos Zampieri. A Report on the VarDial Evaluation Campaign 2020. In Proceedings of VarDial (COLING Workshop), 2020.
79. Mihaela Găman, Radu Tudor Ionescu. Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets. In Proceedings of VarDial (COLING Workshop), 2020.
78. Mihail Burduja, Radu Tudor Ionescu, Nicolae Verga. Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks. Sensors, 2020.
77. Antonio Bărbălău, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu. Black-Box Ripper: Copying black-box models using generative evolutionary algorithms. In Proceedings of NeurIPS, 2020.
76. Cezara Benegui, Radu Tudor Ionescu. Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors. In Proceedings of ICONIP, 2020.
75. Cezara Benegui, Radu Tudor Ionescu. To augment or not to augment? Data augmentation in user identification based on motion sensors. In Proceedings of ICONIP, 2020.
74. Mariana Iuliana Georgescu, Radu Tudor Ionescu. Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion. In Proceedings of ICPR, 2020.
73. Nicolae Cătălin Ristea, Radu Tudor Ionescu. Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs. In Proceedings of INTERSPEECH, 2020.
72. Nicolae Cătălin Ristea, Andrei Anghel, Radu Tudor Ionescu. Fully Convolutional Neural Networks for Automotive Radar Interference Mitigation. In Proceedings of VTC-Fall, 2020.
71. Antonio Bărbălău, Adrian Cosma, Radu Tudor Ionescu, Marius Popescu. A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI. In Proceedings of ECML-PKDD, 2020.
70. Cezara Benegui, Radu Tudor Ionescu. Convolutional Neural Networks for User Identification based on Motion Sensors Represented as Images. IEEE Access, 2020.
69. Cezara Benegui, Radu Tudor Ionescu. A breach into the Authentication with Built-in Camera (ABC) Protocol. In Proceedings of ACNS, 2020.
68. Mariana Iuliana Georgescu, Radu Tudor Ionescu, Nicolae Verga. Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI Scans. IEEE Access, 2020.
67. Sébastien Déjean, Radu Tudor Ionescu, Josiane Mothe, Md Zia Ullah. Forward and Backward Feature Selection for Query Performance Prediction. In Proceedings of SAC, 2020.
66. Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu. Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). In Proceedings of WACV, 2020.
65. Mariana Iuliana Georgescu, Radu Tudor Ionescu. Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks. In Proceedings of ICONIP, 2019.
64. Andrei M. Butnaru, Radu Tudor Ionescu. ShotgunWSD 2.0: An improved algorithm for global word sense disambiguation. IEEE Access, 2019.
63. Andrei M. Butnaru, Radu Tudor Ionescu. MOROCO: The Moldavian and Romanian Dialectal Corpus. In Proceedings of ACL, 2019.
62. Mariana Iuliana Georgescu, Radu Tudor Ionescu, Marius Popescu. Local Learning with Deep and Handcrafted Features for Facial Expression Recognition. IEEE Access, 2019.
61. Marcos Zampieri, Shervin Malmasi, Yves Scherrer, Tanja Samardzic, Francis Tyers, Miikka Silfverberg, Natalia Klyueva, Tung-Le Pan, Chu-Ren Huang, Radu Tudor Ionescu, Andrei M. Butnaru, Tommi Jauhiainen. A Report on the Third VarDial Evaluation Campaign. In Proceedings of VarDial (NAACL Workshop), 2019.
60. Mariana Iuliana Georgescu, Radu Tudor Ionescu. Clustering Images by Unmasking - A New Baseline. In Proceedings of ICIP, 2019.
59. Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana Iuliana Georgescu, Ling Shao. Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video. In Proceedings of CVPR, 2019.
58. Radu Tudor Ionescu, Andrei M. Butnaru. Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation. In Proceedings of NAACL, 2019.
57. Radu Tudor Ionescu, Sorina Smeureanu, Marius Popescu, Bogdan Alexe. Detecting abnormal events in video using Narrowed Normality Clusters. In Proceedings of WACV, 2019.
56. Radu Tudor Ionescu, Andrei M. Butnaru. Transductive learning with string kernels for cross-domain text classification. In Proceedings of ICONIP, 2018.
55. Petru Soviany, Radu Tudor Ionescu. Continuous Trade-off Optimization between Fast and Accurate Deep Face Detectors. In Proceedings of ICONIP, 2018.
54. Paul Bricman, Radu Tudor Ionescu. CocoNet: A deep neural network for mapping pixel coordinates to color values. In Proceedings of ICONIP, 2018.
53. Radu Tudor Ionescu, Andrei M. Butnaru. Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set. In Proceedings of EMNLP, 2018.
52. Petru Soviany, Radu Tudor Ionescu. Frustratingly Easy Trade-off Optimization between Single-Stage and Two-Stage Deep Object Detectors. In Proceedings of CEFRL (ECCV Workshop), 2018.
51. Petru Soviany, Radu Tudor Ionescu. Optimizing the Trade-off between Single-Stage and Two-Stage Deep Object Detectors using Image Difficulty Prediction. In Proceedings of SYNASC, 2018.
50. Sorina Smeureanu, Radu Tudor Ionescu. Real-Time Deep Learning Method for Abandoned Luggage Detection in Video. In Proceedings of EUSIPCO, 2018.
49. Andrei M. Butnaru, Radu Tudor Ionescu. UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row. In Proceedings of the VarDial (COLING Workshop), 2018.
48. Mădălina Cozma, Andrei M. Butnaru, Radu Tudor Ionescu. Automated essay scoring with string kernels and word embeddings. In Proceedings of ACL, 2018.
47. Andrei M. Butnaru, Radu Tudor Ionescu. UnibucKernel: A kernel-based learning methoḑ for complex word identification. In Proceedings of the BEA-13 (NAACL Workshop), 2018.
46. Radu Tudor Ionescu, Sorina Smeureanu, Bogdan Alexe, Marius Popescu. Unmasking the abnormal events in video. In Proceedings of ICCV, 2017.
45. Radu Tudor Ionescu, Marius Popescu. Can string kernels pass the test of time in Native Language Identification? In Proceedings of the BEA-12 (EMNLP Workshop), 2017.
44. Sorina Smeureanu, Radu Tudor Ionescu, Marius Popescu, Bogdan Alexe. Deep Appearance Features for Abnormal Behavior Detection in Video. In Proceedings of ICIAP, 2017.
43. Radu Tudor Ionescu, Marius Popescu, Christopher Conly, Vassilis Athitsos. Local Frame Match Distance: A Novel Approach for Exemplar Gesture Recognition. In Proceedings of EUSIPCO, 2017.
42. Andrei M. Butnaru, Radu Tudor Ionescu. From Image to Text Classification: A Novel Approach based on Clustering Word Embeddings. In Proceedings of KES, 2017.
41. Marius Popescu, Cristian Grozea, Radu Tudor Ionescu. HASKER: An efficient algorithm for string kernels. Application to polarity classification in various languages. In Proceedings of KES, 2017.
40. Radu Tudor Ionescu, Andrei M. Butnaru. Learning to Identify Arabic and German Dialects using Multiple Kernels. In Proceedings of the VarDial (EACL Workshop), 2017.
39. Andrei M. Butnaru, Radu Tudor Ionescu, Florentina Hristea. ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing. In Proceedings of EACL, 2017.
38. Radu Tudor Ionescu, Andreea L. Ionescu, Josiane Mothe, Dan Popescu. Patch Autocorrelation Features: A translation and rotation invariant approach for image classification. Artificial Intelligence Review, 2016.
37. Radu Tudor Ionescu, Marius Popescu. UnibucKernel: An Approach for Arabic Dialect Identification based on Multiple String Kernels. In Proceedings of the VarDial (COLING Workshop), 2016.
36. Andreea L. Popescu, Radu Tudor Ionescu, Dan Popescu. CardioWatch: A solution for monitoring the heart rate on a mobile device. Scientific Bulletin of UPB, 2016.
35. Radu Tudor Ionescu, Marius Popescu, Aoife Cahill. String Kernels for Native Language Identification: Insights from Behind the Curtains. Computational Linguistics, 2016.
34. Radu Tudor Ionescu. Measuring the Local Non-Alignment Between Objects: Applications to Different Domains. In Proceedings of KES, 2016.
33. Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dimitrios Papadopoulos, Vittorio Ferrari. How hard can it be? Estimating the difficulty of visual search in an image. In Proceedings of CVPR, 2016.
32. Radu Tudor Ionescu. A Fast Algorithm for Local Rank Distance: Application to Arabic Native Language Identification. In Proceedings of ICONIP, 2015.
31. Radu Tudor Ionescu, Andreea L. Popescu, Dan Popescu. Texture Classification with Patch Autocorrelation Features. In Proceedings of ICONIP, 2015.
30. Radu Tudor Ionescu, Adrian G. Chifu, Josiane Mothe. DeShaTo: Describing the Shape of Cumulative Topic Distributions to Rank Retrieval Systems without Relevance Judgments. In Proceedings of SPIRE, 2015.
29. Radu Tudor Ionescu, Marius Popescu. Have a SNAK. Encoding spatial information with the Spatial Non-Alignment Kernel. In Proceedings of ICIAP, 2015.
28. Radu Tudor Ionescu. Sailing your ship in different seas: A wonderful journey from text and DNA to images and back. In Proceedings of DACS, 2015.
27. Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio. Challenges in Representation Learning: A report on three machine learning contests. Neural Networks, Special Issue on Deep Learning of Representations, 2015.
26. Radu Tudor Ionescu, Andreea L. Popescu, Marius Popescu, Dan Popescu. BiomassID: A Biomass Type Identification System for Mobile Devices. Computers and Electronics in Agriculture, 2015.
25. Radu Tudor Ionescu, Andreea L. Popescu, Dan Popescu. Patch Autocorrelation Features for Optical Character Recognition. In Proceedings of VISIGRAPP, 2015.
24. Radu Tudor Ionescu, Marius Popescu, Aoife Cahill. Can characters reveal your native language? A language-independent approach to native language identification. In Proceedings of EMNLP, 2014.
23. Liviu P. Dinu, Radu Tudor Ionescu, Alexandru I. Tomescu. A Rank-Based Sequence Aligner with Applications in Phylogenetic Analysis. PLoS One, 2014.
22. Radu Tudor Ionescu, Marius Popescu. PQ kernel: a rank correlation kernel for visual word histograms. Pattern Recognition Letters, 2014.
21. Radu Tudor Ionescu, Marius Popescu. Objectness to Improve the Bag of Visual Words Model. In Proceedings of ICIP, 2014.
20. Radu Tudor Ionescu, Andreea L. Popescu, Marius Popescu. Texture Classification with the PQ Kernel. In Proceedings of WSCG, 2014.
19. Radu Tudor Ionescu, Andreea L. Popescu, Dan Popescu, Marius Popescu. Local Texton Dissimilarity with Applications on Biomass Classification. In Proceedings of VISIGRAPP, 2014.
18. Andreea L. Popescu, Radu Tudor Ionescu, Dan Popescu. A Spatial Pyramid Approach for Texture Classification. In Proceedings of ISEEE, 2013.
17. Liviu P. Dinu, Radu Tudor Ionescu. An Efficient Algorithm for Rank Distance Consensus. In Proceedings of AI*IA, 2013.
16. Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio. Challenges in Representation Learning: A report on three machine learning contests. In Proceedings of ICONIP, 2013.
15. Radu Tudor Ionescu. Local Rank Distance. In Proceedings of SYNASC, 2013.
14. Andreea L. Popescu, Dan Popescu, Radu Tudor Ionescu, Nicoleta Angelescu, Romeo Cojocaru. Efficient Fractal Method for Texture Classification. In Proceedings of ICSCS, 2013.
13. Liviu P. Dinu, Radu Tudor Ionescu. Clustering based on Median and Closest String via Rank Distance with Applications on DNA. Neural Computing and Applications, 2013.
12. Radu Tudor Ionescu, Marius Popescu. Kernels for Visual Words Histograms. In Proceedings of ICIAP, 2013.
11. Radu Tudor Ionescu, Marius Popescu. Speeding Up Local Patch Dissimilarity. In Proceedings of ICIAP, 2013.
10. Radu Tudor Ionescu, Marius Popescu, Cristian Grozea. Local Learning to Improve Bag of Visual Words Model for Facial Expression Recognition. In Proceedings of WREPL (ICML Workshop), 2013.
9. Marius Popescu, Radu Tudor Ionescu. The Story of the Characters, the DNA, and the Native Language. In Proceedings of BEA-8 (NAACL Workshop), 2013.
8. Radu Tudor Ionescu. Unisort: An algorithm to sort uniformly distributed numbers in O(n) time. Journal of Information Technology (IREIT), 2013.
7. Liviu P. Dinu, Radu Tudor Ionescu. Clustering Methods Based on Closest String via Rank Distance. In Proceedings of SYNASC, 2012.
6. Liviu P. Dinu, Radu Tudor Ionescu. A Rank-based Approach of Cosine Similarity with Applications in Automatic Classification. In Proceedings of SYNASC, 2012.
5. Liviu P. Dinu, Radu Tudor Ionescu. Clustering Based on Rank Distance with Applications on DNA. In Proceedings of ICONIP, 2012.
4. Liviu P. Dinu, Radu Tudor Ionescu, Marius Popescu. Local Patch Dissimilarity for Images. In Proceedings of ICONIP, 2012.
3. Adrian G. Chifu, Radu Tudor Ionescu. Word Sense Disambiguation to Improve Precision for Ambiguous Queries. Central European Journal of Computer Science, 2012.
2. Liviu P. Dinu, Radu Tudor Ionescu. An Efficient Rank Based Approach for Closest String and Closest Substring. PLoS One, 2012.
1. Liviu P. Dinu, Radu Tudor Ionescu. A genetic approximation for closest string via rank distance. In Proceedings of SYNASC, 2011.
Citations
Invited Talks
15. Radu Tudor Ionescu. Scalable Real-Time Abnormal Event Detection. MMAD, 2026.
14. Radu Tudor Ionescu. Text-to-Image Generation via Diffusion: What Synthetic Images Can Tell Us? SynRDinBAB, 2025.
13. Radu Tudor Ionescu. Multimodal neural methods in medical imaging. IEEE CAS, 2024.
12. Radu Tudor Ionescu. Scalable Real-Time Abnormal Event Detection. UMich, 2024.
11. Radu Tudor Ionescu. Scalable Real-Time Abnormal Event Detection. VAND, 2024.
10. Radu Tudor Ionescu. Recent Text and Audio Resources for the Romanian Language. ConsILR, 2023.
9. Radu Tudor Ionescu. Object-centric anomaly detection in video. CRCV, 2022.
8. Radu Tudor Ionescu. Shallow vs Deep Models for Dialect Identification. VIPERC, 2022.
7. Radu Tudor Ionescu. Object-centric anomaly detection in video. Romanian AI Days, 2021.
6. Radu Tudor Ionescu. Object-centric anomaly detection in video. AI4AN, 2021.
5. Radu Tudor Ionescu. Anomaly detection in video: approaches and challenges. SSIP, 2021.
4. Radu Tudor Ionescu. Towards Curriculum Learning from Images. SSIP, 2019.
3. Radu Tudor Ionescu. Usage patterns of non-native language speakers discovered by string kernels for native language identification. IRIT, 2019.
2. Radu Tudor Ionescu. Machine learning for anomaly detection in video. IRIT, 2019.
1. Radu Tudor Ionescu. Sailing your ship in different seas: A wonderful journey from text and DNA to images and back. DACS, 2015.
Books
1. Radu Tudor Ionescu, Marius Popescu. Knowledge Transfer between Computer Vision and Text Mining. Similarity-based Learning Approaches. Springer, 2016.
Software and Data Sets
31. Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. The code is available for download here.
30. Rethinking the Authorship Verification Experimental Setups. The proposed data set splits are available for download here.
29. VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web. The data sets comprising the VeriDark benchmark are available for download here.
28. SepTr: Separable Transformer for Audio Spectrogram Processing. The code is available for download here.
27. Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. The code is available for download here.
26. UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. The data set is available for download here.
25. CelebA+masks and CASIA-WebFace+masks: Masked faces for face recognition. The data sets are available for download here.
24. LiRo: Romanian Benchmark Leaderboard for NLP. The benchmark is available here.
23. CoConv: The official Pyhton implementation of Contextual Convolutional Neural Networks. The code is available for download here.
22. The official Pyhton implementation of A Background-Agnostic Framework for Abnormal Event Detection. The code is available for download here.
21. The official Pyhton implementation of Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. The code is available for download here.
20. FreSaDa: The French Satire Data Set. The data set is available for download here.
19. LaRoSeDa: The Large Romanian Sentiment data set. The data set is available for download here.
18. ARIM-v2: The second version of the Automotive Radar Interference Mitigation data set. The data set is available for download here.
17. The official open source Pyhton implementation of convolutional and Long Short-Term Memory neural networks for intracranial hemorrhage detection. The code is available for download here.
16. Black-Box Ripper: The official open source Pyhton implementation of Black-Box Ripper. The code is available for download here.
15. ARIM: The Automotive Radar Interference Mitigation data set. The data set is available for download here.
14. The official open source Pyhton implementation of our generic and model-agnostic exemplar synthetization framework for explainable AI. The code is available for download here.
13. The official open source Pyhton implementation of convolutional neural networks for 3D super-resolution of CT and MRI Scans. The code is available for download here.
12. CuGAN: The official open source Pyhton implementation of Image Difficulty Curriculum for Generative Adversarial Networks. The code is available for download here.
11. VLAWE: The official open source Matlab implementation of Vector of Locally-Aggregated Word Embeddings. The code is available for download here.
10. MOROCO: The Moldavian and Romanian Dialectal Corpus. The data set is available for download here.
9. CocoNet: The official open source Python implementation of our COordinates-to-COlor NETwork. The code is available for download here.
8. ShotgunWSD: The official open source Java implementation of ShotgunWSD. The code is available for download here.
7. VSD: The Visual Search Difficulty Data Set. The data set is available for download here.
6. LFMD: The official open source Java and Matlab implementation of Local Frame Match Distance. The code is available for download here.
5. Open source Matlab implementation of visual search difficulty prediction model. The code is available for download here.
4. HASKER: The official open source Java implementation of string kernels. The code is available for download here.
3. LRD: The official open source Java implementation of Local Rank Distance. The code is available for download here.
2. LRD Aligner: The official open source Java and C/C++ implementation of the LRD aligner. The code is available for download here.
1. PQ Kernel: The official open source Matlab and C/C++ implementation of the PQ kernel. The code is available for download here.
PhD Thesis
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Artificial Intelligence Lectures
Spring 2024 (Bachelor)
Faculty of Mathematics and Computer Science, University of Bucharest
Available here
Practical Machine Learning Lectures
Fall 2023 (Masters)
Faculty of Mathematics and Computer Science, University of Bucharest
Available here
Deep Learning Lectures
Fall 2023 (Masters)
Faculty of Mathematics and Computer Science, University of Bucharest
Available here
iOS Lectures (Swift)
Spring 2019 (Bachelor)
Faculty of Mathematics and Computer Science, University of Bucharest
Lecture 1 - Mobile Applications Development
Lecture 2 - MVC Design Concept
Lecture 5 - Views, Drawing and Gestures
Lecture 6 - View Controllers and Storyboards
Lecture 8 - View Controller Lifecycle and UIKit
iOS Lectures (Objective-C)
Spring 2013 (Bachelor)
Faculty of Mathematics and Computer Science, University of Bucharest
Lecture 1 - Mobile Applications Development
Lecture 2 - MVC Design Concept
Lecture 3 - Objective-C in Depth
Lecture 4 - Views, Autorotation, Gestures
Lecture 5 - View Controllers and Storyboards
Lecture 7 - View Controller Lifecycle and UIKit
Lecture 8 - Device Capabilities
Web Applications Development Lectures
Faculty of Mathematics and Computer Science, University of Bucharest
Available here
For feedback and questions: raducu (#dot) ionescu [$at] gmail (#dot) com
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Current PhD Students
Alexandru Apostu (co-supervised with Prof. Cristian Rusu)
Hugo Carlesso - Google Scholar Profile (co-supervised with Prof. Josiane Mothe)
Adriana Valentina Costache - Google Scholar Profile
Florinel-Alin Croitoru - Google Scholar Profile
Dana Dăscălescu - Google Scholar Profile
Andrei Dumitriu - Google Scholar Profile (co-supervised with Prof. Radu Timofte)
Silviu Florin Gheorghe - Google Scholar Profile (co-supervised with Prof. Cristian Rusu)
Alexandru Ghiță
Diana Nicoleta Grigore - Google Scholar Profile
Vlad Hondru - Google Scholar Profile
Andrei Jarcă - Google Scholar Profile
Eduard Poesina - Google Scholar Profile
Mădălina Poșchină
Ana-Cristina Rogoz - Google Scholar Profile
Sabina Ioana Stoian (co-supervised with Prof. Andrei Păun)
Former PhD Students
Antonio Bărbălău - Google Scholar Profile
Cezara Benegui - Google Scholar Profile
Andrei Butnaru - Google Scholar Profile
Mihaela Găman - Google Scholar Profile
Iuliana Georgescu - Google Scholar Profile
Nicolae-Cătălin Ristea - Google Scholar Profile (co-supervised with Prof. Andrei Anghel)
Petru Soviany - Google Scholar Profile
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Work Experience
Lead Machine Learning Engineer at VeridiumID
2017-presentMain activities:
Coordinate the activity of the R&D Team in Bucharest.
Design and implement machine learning algorithms for biometric verification.Co-founder and CTO at SecurifAI
2016-presentMain activities:
Coordinate the activity of the R&D Team.
Design and implement machine learning algorithms for intelligent video surveillance.iOS and Machine Learning Engineer at Sparktech Software
2012-2017Main activities:
Design and implement machine learning algorithms.
Develop iOS applications using Swift / Objective-C and Cocoa Framework.iOS and Ruby on Rails Developer at Cronian Labs
2009-2012Main activities:
Develop iOS applications using Objective-C and Cocoa Framework.
Develop Web applications using Ruby on Rails.App Portfolio
TimerCap
iPi
BiomassID
CardioWatch
Living Torah for iPhone
Living Torah for iPad
IEEE Aerospace Conference App
TennisBall Balance
Quiz Games for iPhone -
Personal Info
Full Name: Radu Tudor Ionescu Nationality: Romanian Date of Birth: July 22, 1987 Contact: raducu (#dot) ionescu [$at] gmail (#dot) com facebook ResearchGate Hobbies
tennis, body building, soccer, billiards, snooker
Programming Skills
Matlab, Python, Swift, C/C++, Java, Objective-C, ASP.NET + C#, Ruby on Rails, JavaScript, AJAX, jQuery, HTML, CSS
Education and Training
Research Scientist
IIAI, Inception Institute of Artificial Intelligence
September-December, 2018Coordinator: Prof. Ling Shao
Main activities:
Develop a deep learning method for detecting abnormal events in video.Invited Fellow
CALVIN, University of Edinburgh
June-September, 2015Invited by: Prof. Vittorio Ferrari
Main activities:
Develop a method for predicting the difficulty of recognizing objects in images.Invited Fellow
IRIT, University of Toulouse
January-March, 2015Invited by: Prof. Josiane Mothe
Main activities:
Ranking retrieval systems without relevance judgments.PhD in "Machine Learning in Computer Vision and String Processing"
Faculty of Mathematics and Computer Science, University of Bucharest
2011-2013Supervisor: Prof. Denis Enachescu
Main activities:
Study and develop machine learning techniques for computer vision and string processing.Research Internship
IRIT, University of Toulouse
September, 2010Supervisor: Prof. Josiane Mothe
Main activities:
Improve an information retrieval system by the use of semantic information.Masters in Artificial Intelligence
Faculty of Mathematics and Computer Science, University of Bucharest
2009-2011Principal skills:
Machine Learning, Data and Text Mining, Natural Language Processing, Information RetrievalBachelor of Computer Science
Faculty of Mathematics and Computer Science, University of Bucharest
2006-2009Principal skills:
Mathematics, Data Structures and Algorithms, Formal Languages and Automata, Advanced Programming Techniques, Artificial Intelligence, Database Management Systems, Software Engineering