Research Track
- (ℓ, 𝛿)-Diversity: Linkage-Robustness via a Composition Theorem; V Arvind Rameshwar (India Urban Data Exchange)*; Anshoo Tandon (India Urban Data Exchange)
- Multi-product Influence Maximization in Billboard Advertisement; Dildar Ali (IIT Jammu); Rajibul Islam (Gandhi Institute for Technological Advancement); Suman Banerjee (IIT Jammu)*
- AutochaosNet: A Hyperparameter-Free Neurochaos Learning Algorithm; Akhila Henry (Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam)*; Nithin Nagaraj (National Institute of Advanced Studies, Bengaluru, India)
- CancelOut CommGCN (CCGCN): Influence Maximization on Social Networks based on Communities; Koyena Chowdhury (IIT Kharagpur)*; Amit Paul (National Institute of Technology Durgapur); Animesh Dutta (National Institute of Technology Durgapur)
- GANDALF: Gated Adaptive Network for Deep Automated Learning of Features for Tabular Data; Manu Joseph (Walmart Global Tech)*; Harsh Raj (Khoury College of Computer Sciences)
- ccPASTpqc: Post Quantum Cryptography Migration of Programs Using Code Language Models; Roisan Wahlang (TCS Research)*; Kumar Vidhani (TCS Research)
- Hierarchical Sparse Plus Low Rank Compression of LLM; Pawan Kumar (IIIT, Hyderabad)*; Aditi Gupta (IIIT, Hyderabad)
- Defog: Extending Hidden Query Extraction to Group Filters; Alaap Surendran (Indian Institute of Science); Ahana Pradhan (Indian Institute of Science)*; Jayant Haritsa (Indian Institute of Science)
- GPU-Accelerated Time Series Anomaly Detection using Matrix Profile; Raviteja Nandam (IIT Bhilai ); Vishwesh Jatala (IIT Bhilai)*
- Adaptive Financial Sentiment Analysis for NIFTY 50 via Instruction-Tuned LLMs , RAG and Reinforcement Learning Approaches; Chaithra. (National Institute of Technology Karnataka)*; Biju R Mohan (National Institute of Technology Karnataka); Kamesh Kadimisetty (Gayatri Vidya Parishad College of Engineering)
- TranSCoT: Towards Improving Quality of Code Translations; Lalit Meena (IIT Delhi); Shashank Govindappa (IIT Delhi); Monika Gupta (IIT Delhi)*; Anamitra Choudhury (IBM Research); Vijay Arya (IBM Research); Yogish Sabharwal (IBM Research); Srikanta Bedathur (IIT Delhi)
- SPARK: Scene Prediction Augmented with Relational-Commonsense Knowledge; Chaitanya Garg (Indraprastha Institute of Information Technology Delhi)*; Tanishq Jain (Indraprastha Institute of Information Technology Delhi ); Sathyanarayanan Aakur (Auburn University); Raghava Mutharaju (Indraprastha Institute of Information Technology Delhi)
- Flex-GAD : Flexible Graph Anomaly Detection; Apu Chakraborty (IIT Bhilai)*; Anshul Kumar (IIT Bhilai); Gagan Raj Gupta (IIT Bhilai)
Labeling Function Generation for NER Task: Limitation of LLMs; Ajanta Maurya (IIT Guwahati )*; Jay Khinchi (IIT Guwahati); V Vijaya Saradhi (IIT Guwahati); Ashish Anand (IIT Guwahati)
- DLA-HybridNet: Governance-Aware Edge Segmentation via Hybrid Aggregation Distillation; Soma Dasgupta (Tata Consultancy Services Limited)*; Swarnava Dey (Tata Consultancy Services Limited); Arijit Mukherjee (Tata Consultancy Services Limited); Arpan Pal (Tata Consultancy Services Limited)
- Can curriculum learning overcome structural disparity in MP-GNNs?; Ushmita Pareek (Mastercard)*; Raunak Pandey (Mastercard); Krisha Shah (Mastercard); B Srinath Achary (Mastercard); Sonia Gupta (Mastercard); Siddhartha Asthana (Mastercard)
- Representing Multi-Relational Data via Statistical Relational Learning and Graph Convolutional Networks; Devendra Dhami (Eindhoven University of Technology); Saurabh Mathur (University of Texas at Dallas)*; Siwen Yan (ByteDance); Sriraam Natarajan (University of Texas at Dallas)
- LLMs for Causal Reasoning in Medicine? A Call for Caution; Saurabh Mathur (University of Texas at Dallas)*; Ranveer Singh (University of Texas at Dallas); Michael Skinner (University of Texas at Dallas); Predrag Radivojac (Northeastern University); David M. Haas (Indiana University School of Medicine); Lakshmi Raman (University of Texas Southwestern Medical Center); Sriraam Natarajan (University of Texas at Dallas)
- KG-F: A Knowledge Graph Framework for Fertilizer Recommendation; Nahed Abu Zaid (North Carolina State university)*; Jaya Shruti Chintalapati (North Carolina State university); Mihir Hemal Shah (North Carolina State university); Rada Chirkova (North Carolina State university); Ranga Raju Vatsavai (North Carolina State university)
- InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy; Vishnu Vinod (Centre for Responsible AI, IIT Madras)*; Krishna Pillutla (Indian Institute of Technology Madras); Abhradeep Guha Thakurta (Google DeepMind)
- SymLoc: Symbolic Localization of Hallucination across HaluEval and TruthfulQA; Naveen Lamba (Sharda University)*; Sanju Tiwari (Sharda University); Manas Gaur (University of Maryland, Baltimore County)
- Time-dependent Check-in Attribute Prediction via Domain-aware CSMTPP; Ushmita Pareek (Mastercard); Anand Vir Singh Chauhan (Mastercard); Maneet Singh (Mastercard, India)*
- Alignment Adapter for Improving the performance of Compressed Deep Learning Models; Rohit Raj Rai (IIT Guwahati)*; Abhishek Dhaka (B.K. Birla Institute of Engineering & Technology); Amit Awekar (IIT Guwahati)
- Adapting Multilingual Models to Code-Mixed Tasks via Model Merging; Prashant Kodali (IIIT Hyderabad)*; Vaishnavi Shivkumar (IIIT Hyderabad); Swarang Joshi (IIIT Hyderabad); Monojit Choudhury (MBZUAI); Ponnurangam Kumaraguru (IIIT Hyderabad); Manish Shrivastava (IIIT Hyderabad)
Applied Data Science Track
- Sketch-Based Real-Time Criminal Identification with Vector Similarity Search; ARYAN GADDADAVARA (Bharati Vidyapeeth College of Engineering , Navi Mumbai)*; Vijaylaxmi Bittal (Bharati Vidyapeeth College of Engineering , Navi Mumbai); Rohit More (Bharati Vidyapeeth College of Engineering , Navi Mumbai); Manav Patil (Bharati Vidyapeeth College of Engineering , Navi Mumbai)
- ProcessChat: A Dataset for Business Process Grounded Dialogs; Neelamadhav Gantayat (Mr)*; Avirup Saha (IBM); Renuka Sindhgatta (IBM)
- PERSONA — A Two-Phase, Customer-centric Promotion Optimization Framework for E-commerce Retail; Srividhya Sethuraman (TCS Research)*; Uma Maheswari G (TCS Research); Sharadha Ramanan (TCS Research)
- Multi-Stage RecSys with Gated-VIC 2T: GFLU-Enhanced Pre-Ranking Meets VICReg; Manu Joseph (Walmart Global Tech)*
- Graph of Agentic Thoughts: Bridging Agentic Reasoning and Explainability through Graphs; Moushumi Mahato (Samsung Research Institute, Bangalore)*; Javaid Nabi (Samsung Research Institute, Bangalore)
- Beyond the Ticker: Graph-Fused Stock Forecasting with Candlestick chart, Temporal, and Relational Intelligence; Manali Patel (S.V. National Institute of Technology)*; Shreya Goyal (Amazon Web Services); Krupa Jariwala (S.V. National Institute of Technology); Chiranjoy Chattopadhyay (FLAME University)
- iWatchRoad: Scalable Detection and Geospatial Visualization of Potholes for Smart Cities; Surbhi Mohanty (Silicon University); Rishi Sahoo (National Institute of Science Education and Research)*; Subhankar Mishra (National Institute of Science Education and Research)
- T-Ret: Retrieval of Temporally Relevant Documents; pritam kumar nath (Oracle)*; Suman Roy (Oracle); Srijon Sarkar (Oracle)
- Mitigating opportunity loss in branded e-commerce by integrated similar product recommendations and inventory management; Susen Sarkar (Samsung R&D Institute); Rudraksh Taneja (Samsung R&D Institute); Rohit Goyal (Samsung R&D Institute); Srungavarapu Susant Achary (Samsung R&D Institute); RAJASEKHARA REDDY DUVVURU MUNI (Samsung R&D Institute)*
- Real-time Rescheduling of Trains in Generic Railway Networks using Q-Learning; Aakash Swami (TCS Ltd)*; Gajendra Malviya (TCS Ltd); Shripad Salsingikar (TCS Ltd)
- Temporal Boosting for Incremental Tree-based Learning on Tabular Data; Rahul Gupta (Mastercard); Payal Pote (Mastercard); Bhanupriya Pegu (Mastercard); Maneet Singh (Mastercard, India)*; Josh Allbright (Mastercard); Chris Merz (Mastercard)
- Autograder+: A Multi-Faceted AI Framework for Rich Pedagogical Feedback in Programming Education; VIKRANT SAHU (IIT Bhilai)*; Gagan Raj Gupta (IIT Bhilai); Raghav Borikar (IIT Bhilai); Nitin Gautam Mane (IIT Bhilai)
- Identifying Urban Air Mobility Infrastructure Hotspots in Indian Cities Using Multi-Criteria Suitability Analysis; Yamini Sharma (TCS Research)*; Yashovardhan S. Chati (TCS Research); Arunchandar Vasan (TCS Research)
- Smart Kirana Onboarding: A Vision-Based Framework for Kirana Inclusion in ONDC; Prithviraj Naik (Bizom(Mobisy Technologies Private Limited))*; Khushi Agarwal (Bizom(Mobisy Technologies Private Limited))
- MongoTalk: An Agentic AI Framework for Conversational and Autonomous No-Code MongoDB Management; Dr. Arti Patle (G H Raisoni College of Engineering & Managment, Pune)*
- Adversarial Prompting Framework for AI Safety Assessment; Yash Bhatnagar (Microsoft); Kunal Banerjee (Walmart)*; Anirban Chatterjee (Walmart Global Tech)
- Wasted Cycles and Waiting Games Analysis of HPC Resource Usage Using Production Cluster Data in FRESCO; Joshua McKerracher (Purdue University)*; Saurabh Bagchi (Purdue University); Aryamaan Dhomne (Purdue University)
- Spam-Fighting Network: An AI-Based System for Large-Scale Spam Detection in Telecom Networks; Surya Teja Tunuguntla (Xtelify Limited)*; Kajal Chauhan (Xtelify Limited); Biprarshi Chakraborty (Xtelify Limited); Alok Mathur (Xtelify Limited); Abhishek Singh (Xtelify Limited)
- VayuBench and VayuChat: Executable Benchmarking and Deployment of LLMs for Multi-Dataset Air Quality Analytics; Vedant Acharya (IIT Gandhinagar)*; Abhay Pisharodi (IIT Gandhinagar ); Ratnesh Pasi (IIIT Surat); Rishabh Mondal (IIT Gandhinagar); Nipun Batra (IIT Gandhinagar)
AI for Science Track
- Indistinguishability domains of neural microcircuit motifs mapped through classification scores of postsynaptic spike counts; Anjali Naveen Kumar (Tata Institute of Fundamental Research Hyderabad), Raghunathan Ramakrishnan (Tata Institute of Fundamental Research Hyderabad)
- The Rhythm of Treatment: Modeling Causal Effects Over Time With Marginal Structural Models and ODEs; Shishir S Doddamani (Dhirubhai Ambani University), Murthy Mittinty (Flinders University)
- Towards Sustainable Scientific Machine Learning: Fast and Interepretable PDE Solvers via RBF-PIELM; Akshay Govind Srinivasan (Indian Institute of Technology, Madras)*, Vikas Dwivedi (Creatis Biomedical Imaging Laboratory, INSA-Lyon), Balaji Srinivasan (Indian Institute of Technology, Madras)"
- A fast method for clustering regulatory DNA regions; Akash Dileep K (Indian Institute of Science Education and Research Pune), Leelavati Narlikar (Indian Institute of Science Education and Research Pune)
- Effort-To-Compress Ratio-Based Feature Extraction & Machine Learning Methods for EEG Signal Classification; Yojit Kumar (Indian Institute of Science Education and Research Pune)*; Nithin Nagaraj (National Institute of Advanced Studies (NIAS))
- Unsupervised training of neural network to get energy conserving ocean model; Mayank Kumar Bijay (TIFR-ICTS)*
- Assessing Tomato Yield Vulnerability to Climate Change: A DSSAT-CMIP6 Case Study in Central India; Pashupati Singh (Banaras Hindu University)*; Prashant Srivastava (Banaras Hindu University); Sakshi Kumari (Banaras Hindu University); Shailendra Verma (Banaras Hindu University)
- Leveraging Wav2Vec2.0 for Multi-task Speech Emotion recognition with Acoustic Scene Classification; Manjiri Bhat (Visvesvaraya National Institute of Technology, Nagpur)*; Dr. Ravindra Keskar (Visvesvaraya National Institute of Technology, Nagpur)
- Decoding Speech Perception from EEG: Extending the Broderick Dataset Study; Pavan Parvatam (International Institute of Information Technology - Hyderabad)*; Raghav Rao Ghanathe ( International Institute of Information Technology - Hyderabad)
- Advancing Hyperlocal Precipitation Estimation with Deep Neural Networks; Bipin Kumar (Indian Institute of Tropical Meteorology)*
- From Time Series to Equations: Application of Sparse Identification of Nonlinear Dynamics to the Cell Cycle; Sriram Krishnamachari (IIIT-Delhi)*; Alka Singh (IIIT-Delhi); Harika Guturu L (IIIT-Delhi)
- Adversarial Robustness of U-Net for Inland Water Body Segmentation from SAR Images; Siddharth Kothari (IIIT Bangalore); Srinivasan M (IIIT Bangalore); Sankalp Kothari (IIIT Bangalore); Ujjwal Verma (Manipal Institute of Technology, Manipal Academy of Higher Education); Jaya Sreevalsan-Nair (IIIT Bangalore)*
- Machine Learning Approach to Integrate and Analyse Multiomics data to Identify Actionable Biomarkers for Head and Neck Squamous Cell Carcinoma (HNSCC) ; Kajal Panchal ( Indian Institute of Technology Gandhinagar); Kulandai Arockia Rajesh Packiam ( Indian Institute of Technology Gandhinagar); Anirban Dasgupta ( Indian Institute of Technology Gandhinagar); Sharmistha Majumdar (Indian Institute of Technology Gandhinagar)*
- A hybrid autoencoder model with graph-based features for predicting lncRNA disease associations; Gowtham Murugesan (Bharathiar University)*; Riswana Begam Mohamed Yousuf (Bharathiar University); Pavithra Nagendran (Bharathiar University); Jeyakumar Natarajan (Bharathiar University)
- Multi-allelic Mutations of Tumor Suppressor Genes in Cancer Evolution; Nivedita Mukherjee (National Centre for Biological Sciences, Tata Institute of Fundamental Research)*
- A GAN Based Model to Generate Turbulent Oceanic flows; Mausam Kumar (St. Joseph's University)*; Jim Thomas (Tata Institute of Fundamental Research)
- Urban Flood-Depth Forecasting with Autoregressive Surrogates: A Case Study of Indian Cities; Pallavi Tyagi (NA); Vishal Dubey (NA)*
- Integrating Ayurveda and AI: Rapid Screening of Herbal Phytochemicals for Biofilm Inhibition Using Deep Docking; Prachi Sardeshmukh (Rajiv Gandhi Institute of IT and Biotechnology,Bharati Vidyapeeth Deemed to be university)*
- Finetuning a Neural Weather Model to India Rainfall; Saptarishi Dhanuka (Ashoka University)*
Demo Track
- Robust Face Liveness Detection for Biometric Authentication using Single Image; Poulami Raha (Rakuten Group, Inc.)*; Yeongnam Chae (Rakuten Group, Inc.)
- Identifying Slug Formation in Oil Well Pipelines: A Use Case from Industrial Analytics; Abhishek Patange (ABB Global Industries And Services Private Limited)*; Sharat Chidambaran (Global Industries And Services Private Limited); Prabhat Shankar (Global Industries And Services Private Limited); Manjunath GB (Global Industries And Services Private Limited); Anindya Chatterjee (Global Industries And Services Private Limited)
- Predicting Weekly Fishing Concentration Zones through Deep Learning Integration of Heterogeneous Environmental Spatial Datasets; Chaitanya Rele (Fr. Conceicao Rodrigues College of Engineering)*
- V-SAT: Video Subtitle Annotation Tool; Arpita Kundu (LTIMindTree); Joyita Chakraborty (LTIMindtree)*; Anindita Desarkar (LTIMindTree); Aritra Sen (LTIMindTree); Srushti Anil Patil (LTIMindTree); Vishwanathan Raman (LTIMindTree)
- LookSync: Large-Scale Visual Product Search System for AI-Generated Fashion Looks; Pradeep M (Glance)*; Ritesh Pallod (Glance); Satyen Abrol (Glance); Muthu Raman (Glance); Ian Anderson (Glance)
- ExaCraft: Dynamic Learning Context Adaptation for Personalized Educational Examples; Akaash Chatterjee (Indian Institute of Technology Jodhpur)*; Suman Kundu (Indian Institute of Technology Jodhpur)
- Process Integrated Computer Vision for Real-Time Failure Prediction in Steel Rolling Mill; Pujari Kalyan (IIT Bhilai)*; Vaibhav kurrey (IIT Bhilai); Gagan Raj Guptha (IIT Bhilai)
- HistoLens: An Interactive XAI Toolkit for Verifying and Mitigating Flaws in Vision-Language Models for Histopathology; Sandeep Vissapragada (Indian Institute of Technology Bhilai)*; Vikrant Sahu (Indian Institute of Technology Bhilai); Gagan Raj Gupta (Indian Institute of Technology Bhilai); Vandita Singh (All India Institute of Medical Sciences Rajkot)
- Atlas Urban Index: A VLM-Based Approach for Temporally Stable Urban Development Monitoring; Mithul Chander (Propheus)*; Sai Pragnya Ranga (Independent Researcher); Prathamesh Mayekar (Propheus)
- VayuChat: An LLM-Powered Conversational Interface for Air Quality Data Analytics; Vedant Acharya (Indian Institute of Technology,Gandhinagar ); Abhay Pisharodi (Indian Institute of Technology,Gandhinagar); Rishabh Mondal (Indian Institute of Technology,Gandhinagar ); Mohammad Rafiuddin (Council on Energy, Environment and Water); Nipun Batra (Indian Institute of Technology,Gandhinagar )*
Young Researchers’ Symposium
- Fast and Memory-Efficient GPU Tensor Train Decomposition via Parallel TT-SVD; Archana Pujahari (KMBB College of Engineering and Technology)*; Sagar Barad (National Institute of Science Education and Research); Subhankar Mishra (National Institute of Science Education and Research)
- Sampling Bias Mitigation in Model-based Reinforcement learning; Rahul Narava (Indian Institute of Technology Ropar)*; Karthik Dasaraju (Indian Institute of Technology Ropar); Shashi Shekhar Jha (Indian Institute of Technology Ropar); Mayank Shekhar Jha (CRAN, Université de Lorraine)
- Modeling Dopaminergic Stimuli-Linked Patterns in Children’s YouTube Videos Using Interpretable Machine Learning; Sanjay Kumar Sakamuri Kamalakar (SRM Institute of Science and Technology, Ramapuram)*; Amit Tejas P (SRM Institute of Science and Technology, Ramapuram ); Salai Kamalavasan S (SRM Institute of Science and Technology, Ramapuram ); Santhosh Kumar C (SRM Institute of Science and Technology, Ramapuram )
- HinVec: Hindi Embedding Model; Sailesh Panda (Indian Institute of Technology Gandhinagar)*
- Mog Asu: A Dataset of Konkani-English Code-Mixed Social Media Text for Hate Speech Detection; ratna mandre (goa university)*; Pradnya Bhagat (Goa University ); Jyoti D. Pawar (Goa univerisity)
- Cosine Attack for Data Reconstruction on the FLICKER Federated Learning Framework; Satyajit Behera (Sri Sathya Sai Institute of Higher Learning); Parth Nagar (Sri Sathya Sai Institute of Higher Learning); M S Srinath (Sri Sathya Sai Institute of Higher Learning)*
- Acceleration of Transformers for FPGAs using Softmax Approximation; Uzmat Ul Nisa (National Institute of Technology Srinagar)*; Mohsen Peerzada (National Institute of Technology Srinagar); Janibul Bashir (National Institute of Technology Srinagar)
- BiMass: Towards Batch-incremental Clustering using Mass-based dissimilarity; Panthadeep Bhattacharjee (NIT Rourkela)*; Sandeep Vidyapu (University of Stuttgart)
- Dual-Level Adaptive Sampling for Enhanced Few-Shot Medical Image Classification; Ranjana Roy Chowdhury (IIT Ropar)*
- Continual Learning Via Constrained Stochastic Optimization: A Drift Plus Penalty Framework; Govinda Arya (PhD, IIIT Delhi)*; Nazreen Shah (PhD, IIIT Delhi); Bharath B N (Assistant Professor, IIT Dharwad ); Ranjitha Prasad (Assistant Professor, IIIT Delhi)
- Node's Role Prediction in Temporal Network using Continuous Time Evolving GCN; Devlina Karmakar (National Institute of Technology Durgapur)*; Giridhar Maji (Dept. of Tech. Edu., Trng. & Skill Dev.); Animesh Dutta (National Institute of Technology Durgapur)
- Attributed Modularity Loss for an Improved Graph Clustering; Shashwat Panigrahi (NIT Rourkela); Devansh Maru (NIT Rourkela); Shreyash Gaurav (NIT Rourkela); Arpit Kurmi (NIT Rourkela); Panthadeep Bhattacharjee (NIT Rourkela)*
- Towards Developing Innovative Relational Architectures for Intelligent Stock Market Movement Prediction; Manali Patel (S.V. National Institute of Technology)*; Krupa Jariwala (S.V. National Institute of Technology); Chiranjoy Chattopadhyay (FLAME University)
- HQCBC: A Hybrid Quantum-Classical Algorithm for Betweenness Centrality; Suchismita Sarkar (National Institute of Technology, Durgapur)*; Dr. Animesh Dutta (National Institute of Technology, Durgapur)
- Digital-Persona QAR: A Dataset and Pipeline for Financial Question–Answer–Reasoning from Unstructured Documents; Tanmay Hire (Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi))*; Abhay Shakya (Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi)); Vikranth Udandarao (Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi)); Akshat Parmar (Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi))
- Multi-Scale Diffusion Enhancement for Graph Clustering with Heat and PPR Kernels; Devansh Maru (NIT Rourkela); Shreyash Gaurav (NIT Rourkela); Arpit Kurmi (NIT Rourkela); Shashwat Panigrahi (NIT Rourkela); Panthadeep Bhattacharjee (NIT Rourkela)*
- An Automated Sentiment Annotation Framework with Fine-Grained Aspect Disambiguation; Deepak C. Nayak (National Institute of Technology Karnataka); Aakarsh Bansal (National Institute of Technology Karnataka)*; Bhuvanesh Singla (National Institute of Technology Karnataka); Raajan Wankhade (National Institute of Technology Karnataka); Chaithra . (National Institute of Technology Karnataka); Biju R. Mohan (National Institute of Technology Karnataka)
