Mehta Family School of
Data Science & Artificial Intelligence

2026

• Anterpreet Kaur Bedi, Pratibha Kumari, Rishi Kumar Soni, Mukesh Saini, and Narayanan C. Krishnan: SpinVision: An End-to-End Volleyball Spin Estimation with Siamese-based Deep Classification. Computer Vision and Image Understanding, 2026.
• H. Suresh, S. Sidheekh, M. P. Vishnu Shreeram, S. Natarajan, and Narayanan C. Krishnan: Tractable Sharpness-aware Learning of Probabilistic Circuits. AAAI Conference on Artificial Intelligence (AAAI), 2026.
• Sweta Dey, Rishi Raina, Sudeepta Mishra, Ramesh Dharavath, and Abhinandan S. Prasad: GreenEdge AI: Sustainable Federated Learning for Smart City Air Quality Prediction. Industrial Information Integration, Elsevier, 2026.
• Eva Cherian and Mrinal Kanti Das: Modeling Task Uncertainty for Neural Processes to Meta-Learn with Fewer Tasks. Neurocomputing, 2026.
• V. Ramkumar, X. Kong, G. Y. Sai, M. Vajha, and Nikhil Krishnan M: On MDS Convertible Codes in the Merge Regime. IEEE Transactions on Information Theory, accepted, 2026.
• Varad Kulkarni, Nikhil Reddy, Tuhin Khare, Chitra Babu, Yogesh Simmhan, and Abhinandan S. Prasad: Characterizing FaaS Workflows on Public Clouds: The Good, the Bad and the Ugly. IEEE Transactions on Parallel and Distributed Systems, 2026.
• A. Jayakrishnan, V. Ramkumar, Nikhil Krishnan M, and M. Vajha: Adaptive Streaming Codes for Three-Node Relay Networks under Burst Erasure Channels. IEEE International Symposium on Information Theory (ISIT), 2026.
• Etana Fikadu Dinsa, Mrinal Das, and Teklu Urgessa Abebe:Advances in Electronic Health Records Enabled by Artificial Intelligence and Natural Language Processing: A Review of Recent Developments, Limitations and Future Applications. Discover Applied Sciences, 2026.

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2025

• Amar Parajuli and Koninika Pal: Extracting Numerical Assertion from Text. AACL (findings), 2025.
• Pranav Guruprasad Rao, Rachit Jain Sandeep, and Koninika Pal: TChat: A Conversational Agent with Temporal Commonsense. ProActLLM@CIKM, 2025.
• Snigdhatanu Acharya and Mrinal Das: Map Wisely for Efficient Transfer Learning Across Heterogeneous Data Sources. Neurocomputing, 2025.
• Ze Shi Li, Shiyu (Vivienne) Zeng, Ahmed Musa Awon, Luiz Franciscatto Guerra, Neil Erns, and Swapnil Hingmire: Objectifying the Subjective: Cognitive Biases in Topic Interpretations. Transactions of the Association for Computational Linguistics (TACL), Vol. 13, 2025, pp. 1527–1559.
• S. Abilasha and Sahely Bhadra: Warping Resilient Robust Anomaly Detection for Multivariate Time Series. Machine Learning, 2025.
• A. Aimen, A. Verma, M. Tapasvi, and N. C. Krishnan: Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays. International Symposium on Biomedical Imaging (ISBI), 2025.
• T. John and Mrinal Das: Focus On What Matters: Guiding Vision Transformers Towards Justification. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025.
• R. Gayathri and Koninika Pal: Understanding Numerical Context by Asking Quantitative Questions. European Conference on Information Retrieval (ECIR), 2025.
• M. N. Krishnan, M. Vajha, V. Ramkumar, G. Y. Sai, and X. Kong: On Linear Field Size Access-Optimal MDS Convertible Codes. IEEE International Symposium on Information Theory (ISIT), 2025.
• V. Ramkumar, M. N. Krishnan, and M. Vajha: Streaming Codes for Multi-Hop Relay Networks With Burst Erasures. IEEE International Symposium on Information Theory (ISIT), 2025.
• M. Managoli, K. R. Sahasranand, and V. M. Prabhakaran: Error Exponents for Robust Hypothesis Testing with Abstention. IEEE International Symposium on Information Theory (ISIT), 2025.
• Ankit, Sahely Bhadra, and Juho Rousu: Efficient 3D Kernels for Molecular Property Prediction. Bioinformatics, 2025.
• A. Gaurav, S. Chanda, and N. C. Krishnan: Word-Diffusion: Beyond Memorization — Training-Free Style Mixing for Variability in Handwritten Text Generation Using Writer Embedding Injection in Pretrained Diffusion Models. International Conference on Document Analysis and Recognition (ICDAR), 2025.
• M. Taufeeq and K. Pal: Validating Numerical Assertions for Knowledge Graph. ACM Conference on Information and Knowledge Management (CIKM), 2025.
• L. R. Nair, A. Sankar, and K. Pal: Extracting Temporal Commonsense from Text. ACM SIGIR Workshop IR-RAG, 2025.
• A. Rojarani, T. R. Kumar, N. C. Krishnan, and P. Pankajakshan: Fusing Self-supervised and Supervised Learning: A Unified Pre-training Framework for Crop Mapping. International Geoscience and Remote Sensing Symposium (IGARSS), 2025.
• V. Singh, A. Mahadevan, R. K. Tiwari, and N. C. Krishnan: Glacier Lake Segmentation from Remote Sensing Landsat Image. International Geoscience and Remote Sensing Symposium (IGARSS), 2025.
• Etana Fikadu, Mrinal Das, and Teklu Urgesa: A Topic Modeling Approach for Analyzing and Categorizing Electronic Healthcare Documents in Afaan Oromo without Label Information. Nature Scientific Reports, 14, Article number: 32051, 2025.
• Etana Fikadu, Mrinal Das, and Teklu Urgesa: MLP-SVM: A Hybrid Approach for Improving the Performance of the Classification Model for Health-Related Documents from Social Media Using Multi-Layer Perceptron and Support Vector Machine. Springer Nature Discover Applied Sciences, 2025.
• Etana Fikadu, Mrinal Das, Teklu Urgessa, and Krishnaraj Ramaswamy:A Supervised Learning Approach for Recommending Medical Specialists in the Healthcare Sector for the Afaan Oromo Context.Springer Nature Discover Computing, Volume 28, Article 46,, 2025.
• Sam Narayana Subudhi, and Mrinal Das:Contrastive Loss Coupled with Occlusion Aware Training Aids in Face Recognition from Low Quality Group Photos. International Conference on Microwave, Optical and Communication Engineering, 2025.

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2024

• Vijayan VP, Chanda S, Doermann D, and Krishnan NC: Scene Text Recognition — An Indic Perspective. International Journal on Document Analysis and Recognition (IJDAR), 2024.
• Kadan A, Deepak P, Bhadra S, Gangan MP, and Lajish VL: Understanding Latent Affective Bias in Large Pre-trained Neural Language Models. Natural Language Processing Journal, 2024.
• Etana Fikadu, Mrinal Das, and Teklu Urgesa: Automatic Categorization of Medical Documents in Afaan Oromo Using Ensemble Machine Learning Techniques. Springer Nature Discover Applied Sciences, 2024.
• M. Vajha, V. Ramkumar, and M. Nikhil Krishnan: Streaming Codes for Three-Node Relay Networks With Burst Erasures. IEEE Transactions on Information Theory, 2024.
• Koninika Pal, Hiba Arnaout, Simon Razniewski, and Gerhard Weikum: FASETS: Discovering Faceted Sets of Entities. WWW (Companion Volume), 2024.
• S. Gupta, S. Jain, G. Ghalme, N. C. Krishnan, and N. Hemachandra: Capacitated Online Clustering Algorithm. European Conference on Artificial Intelligence (ECAI), 2024.
• Sambyal AS, Niyaz U, Shrivastava S, Krishnan NC, and Bathula DR: LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.
• Das Satyajit and Parvathy R P: ByteZip: Efficient Lossless Compression for Structured Byte Streams Using DNNs. IEEE International Joint Conference on Neural Networks (IJCNN), 2024.
• A. Gaurav, N. C. Krishnan, and S. Chanda: Word-Diffusion: Diffusion-Based Handwritten Text Word Image Generation. International Conference on Pattern Recognition (ICPR), 2024.