Applied AI/ ML
1. Discovery of high temperature shape memory alloys using machine learning
Amritha V P
2. Cell segmentation of Diffuse Large B-Cell Lymphoma using Deep Learning based approach
Anik Bhowmick
3. Data Driven Approach for Equitable Supply in Water Distribution Networks
Harish Doneparthi
4. Lead Optimization
Hrishikesh A
5. Systematic Model Order Reduction of Activated Sludge Models for WWTPs using the concepts of Extent of Reaction, Mass Transfer and Flow
Ishwarya R
6. Machine Learning Systems for Pipeline Monitoring using Distributed Acoustic Sensing Data
Nandhakishore C S
7. Recognizing Every Voice: Towards Inclusive ASR for Rural Bhojpuri Women
Sakshi Joshi
8. Accelerated Discovery of 2D Spintronic Materials using Active Learning Guided First Principles Calculations
Sanjeev S Navaratna
9. Deep Learning for Parameter Estimation in Sewer Networks
Sumanth Srinivas P
10. Enhancing Sorting Terminal Efficiency Through Advanced Optimization Methods using Digital Twins and Neural Network Approximations
Tharun Tammali
11. TransChem: Fusion of data- driven and domain specific features for accurate polymer property prediction
Vijith P
12. Unified AI/ML framework for Predictive Cleaning of Heat Exchangers
Vinu Varshith G
Computational Biology
13. Cellular Specificity of Ribosomal Protein Gene Expression in Human Tissues
Aishwarya Murali
14. Optimal Control of HPV Vaccination and Screening Strategies for Cervical Cancer Elimination via Mathematical Modeling
Arvinth S
15. Tipping Points in the Vaginal Microbiome: Machine Learning Approaches Identify Compositional Shifts Predictive of Preterm Birth Risk
Barathi L
16. Leveraging RNA-Seq and Epigenomic Data to Identify Regulatory Elements in CHO Cells for Biotherapeutic Production
Deepikka SK
17. Comparative Metabolic Modeling of Haemophilus influenzae Strains Reveals Pathogenicity-Linked Traits
Jashwin HR
18. Causality at Scale: Quantifying Confidence in Corpus wide Gene-Disease Causal Relations Through Multi-Source Evidence Integration
Nency Bansal
19. ThermOptCobra: Thermodynamically Optimal Construction and Analysis of Metabolic Networks for Reliable Phenotype Predictions
Pavan Kumar S
20. Comparative Genomic Analysis Reveals Unique Biosynthetic Potential of Bacillus pumilus SAFR-032 in Extraterrestrial Environments
Pratyay Sengupta
21. Exploring the Roles of Deep Sea Extremophiles in Biogeochemical Cycling of Carbon, Nitrogen, and Sulfur
Prithvi S Prabhu
22. Understanding the Pathogenicity of Streptococcus pneumoniae through the Lens of Genome Graphs
Roshini Sundararajan
23. Modeling Nutrient-Driven Shifts in Microbial Communities of Coral Reefs Using Dynamic FBA
Shradha Sharma
24. Identification of mir-34b regulated targets associated with EMT pathway
Shukrruthi K IyengarÂ
25. Invisible Tenants: Unearthing the Diversity of Home Microbiomes
Sounak Banerjee
26. Mapping Variant-to-Function (V2F) through integrative Multi-Omics and Metabolic Network Modelling
Srijith Sasikumar
27. Unlocking Graph Interactions with an Application to Protein-Ligand Docking
Sukanya Tukaram Naik
28. Modeling Polyamine Metabolism to Optimize CHO Cell Culture Performance: A Constraint-Based Approach
Tejaswini G
29. GViNC: An Innovative Framework for Genome Graph Comparison reveals Hidden Patterns in the Genetic Diversity of Human Populations
Venkatesh Kamaraj
30. iCHO3K: A New Community-driven Genome-scale Reconstruction of the Chinese Hamster Metabolism for Accelerating Biotherapeutic Manufacturing
Vikash Gokul D
31. RxnBench: Benchmark Dataset of Biochemical Reactions
Adhil Ahmed
Computational Chemistry
32. NovoMolGen: Rethinking Molecular Language Model Pretraining
M S B Roshan
Computational Neuroscience
33. A Neural mass modeling approach for uncovering neural mechanisms in motor imagery-based non-invasive brain-computer interface training
Apurba Debnath
Computer Vision
34. Locomotive Scene Segmentation and A Self Supervised Learning Approach for Detecting Untrainable Foreign Objects to Avoid Potential Collisions
Bhagesh Seraogi
35. Computer-vision based traffic speed prediction
Pankaj Bhardwaj
36. Corrosion Creep Severity Assessment from Raster Images using Deep Neural Networks
Swamydoss K
37. An Open Source Scaled-down Platform for Testing Autonomous Driving AlgorithmsÂ
Vasumathi Raman
Deep Learning
38. Detection of Alzheimer’s Disease Using EEG and Graph Convolutional Networks
Aakash B
39. Empowering Low-Resource Language ASR via Large-Scale Pseudo Labeling
Kaushal Bhogale
40. PRALEKHA: Cross-Lingual Document Alignment for Indic Languages
Sanjay Suryanarayanan
41. Deep Learning for Enzymatic Reaction Prediction from Protein Sequences
Srikrishnan B
Generative AI & Large Language Models
42. Trust Through Truth: Knowledge-Guided Reinforcement Learning for Medical Visual Reasoning
Abhikesh Nag
43. RASMALAI : Resources for Adaptive Speech Modeling in Indian Languages with Accents and Intonations
Ashwin S
44. Automated Knowledge Graph Construction Using Entity and Relation Extraction
C Vamshi Krishna Reddy
45. QuantumNexus: Quantum solutions for classical problems using Agentic AI
Hari Priya Narahari
46. BrowseNet: Query-Specific Knowledge Graph Traversal for Multi-Document Question Answering
Kiran Kumar N
47. Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs
Mohammed Safi Ur Rahman Khan
48. Can Vision-Language Models Evaluate Handwritten Math?
Oikantik Nath
49. Building Foundations for Indic-RAG: Benchmark and Large-Scale Training Datasets for Indian Languages
Prathmesh B More
50. Knowledge graph creation using ontology for leveraging enterprise specific question answering task
Rajkumar Nagaiah
51. Development and analysis of largest, accurate and comprehensive Multicomponent (high entropy) alloy database using large language models
Sai Mani Kumar Devathi
52. Towards Building Large Scale Datasets and State-of-the-Art Automatic Speech Translation Systems for 13 Indian Languages
Sparsh Jain
53. MoERad: Mixture of Experts for Radiology Report Generation from Chest X-ray Images
Sriram G S
54. CureFinderAI: An LLM-based Agentic AI system for generating grounded hypothesis for drug repurposing
V M Vijaya Yuvaram Singh
Internet of Things
55. Drishti: A Wearable Assistive Device Leveraging Off-board Computing
Sreeraj R
56. IoT enabled smart water metering using multi sensor data and machine learning techniques
Sri Hari Prasath R
LLMs in Education
57. Can Open Source LLMs Generate Math Questions at Graduate Level Courses? An Empirical Study of Linear Algebra Course
Alka Bhushan
Machine learning using DNA Computing
58. Designing DNA-based LSTMs and RNNs for Temporal Learning & Memory
Rajagopal Subramaniam C
Network Analytics
59. A Robust Framework for Edge Prediction in Scientific Knowledge Graphs
Aswin Balamurugan
60. LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks
Gokul S KrishnanÂ
61. Accelerating Column Generation using GNN for Scheduling Water Distribution
Mallikarjun Jamadarkhani
Neuromorphic Computing
62. SIPHER: Spike based Neuromorphic Computing for Secure Inference against Bit- Flip Attack
Sanket Pramod Bhure
Optimization
63. Solving the Vehicle Routing Problem with Time Windows Using Column Generation and Mixed Integer Programming
Joseph George
Process Control & Automation
64. Nonlinear Model Predictive Control for Automated & Improved Hyaluronic Acid Production in Lactococcus lactis Fermentation
Pravin Kannan
Reinforcement Learning
65. From Bisimulation to TD: Model-Free Q-Learning Through Model-Based Abstractions
Jashaswimalya Acharjee
66. Performance Comparison Study of Deep Reinforcement Learning Algorithms for Thermal Power Plant Efficiency Optimization under Flexible Operations
Rajesh Kumaresan N
67. Learning Offline Safe Imitation Policy from Non-Preferred Trajectories
Returaj Burnwal
68. POSRL: Preference Optimization for post-hoc Safety in Reinforcement Learning
Richa Verma
69. Neural Control Barrier Functions for Safe Reinforcement Learning
Srivathsan B
Responsible/Deployable/Explainable AI
70. Benchmarking Reasoning and Translation Capabilities of LLMs in Indic Languages for High-Stakes Domains
Abhishek Raj
71. Leveraging XAI Techniques in Creating Context-Grounded Natural Language ExplanationsÂ
Aditi Anand
72. A STUDY ON GEOGRAPHICAL AND EDUCATIONAL BIASES IN UNIVERSITY RECOMMENDATIONS IN LARGE LANGUAGE MODELS
Akhilesh Kumar Mishra
73. Revealing Agent Intentions: Post Hoc Explanation Framework Using Inverse RL in Multi-Agent Systems
Akranth Reddy Kunta
74. Are Students Fair? Evaluation of Bias and Fairness in Distilled LLMs
Eshan Gujarathi
75. Evaluation Framework for Indian Conversational AI Applications
Gokulakannan S
76. LExT: Towards Evaluating Trustworthiness of Natural Language Explanations
Krithi Shailya
77. A Dataset and Approach for Bias Detection in LLMs Using Contrastive Embedding Similarity in the Indian Context
Santhosh G S
78. Analysing Fairness of Large Language Models in Medical Decision-Making
Shreyash Adappanavar
79. Preserving Expert-Level Privacy in Offline Reinforcement Learning
Vishnu Vinod
80. Explainable Hierarchical Graphs
Ambreesh Parthasarathy
Statistical testing
81. Water network Leak Detection
Mohamed Afthab BS