Student(s):Sreejita Roy (MTech Student)

Work:AdaCRAD: Adaptive Compression via Representation-Aware Drift for Ranking Preservation in AIGC-IQA

Student(s):Patrick Vincent (MTech Student)

Work:Deep Learning for Automated Clove Quality Grading: A Feasibility Study Using CNN Architectures on a Novel Zanzibar Dataset

Student(s):Shivam Vyas (M.Tech student)

Work:Resource-Efficient Vision Transformers for Multi-Scale Chest X-Ray Analysis with Distillation, Compression, and Coresets

Student(s):

Work:Resource-Efficient ECG Foundation Networks via Layer-wise Adaptive Compression

Student(s):Malavika Nithyanand (M.Tech student), Vikalp Srivastava (M.Tech student), Shivam Vyas (M.Tech student)

Work:TwinShield: A Dual-Phase System for Detecting and Extracting Backdoors in VLMs

Student(s):Aisha Hamad Hassan (M.Tech student)

Work:eFinBERT: Efficient Financial Sentiment Classification

Student(s):Aisha Hamad Hassan (M.Tech student)

Work:Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection

Student(s):Rohan Saha (B.S. student)

Work:Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction

Student(s):Avinash Kumar Sharma (M.Tech student)

Work:Are Binary Neural Networks Input Bit-Invariant? Optimizing Sensor-Model Systems with Mean Hassanat Distance, How Weight Pruning Destroys Chain-of-Thought Reasoning in Language Reasoning Models: A Model Similarity and Faithfulness Correlation Analysis, Modeling Chain-of-Thought Collapse in Pruned Language Models: Fidelity and Similarity Analysis for Mathematical Reasoning

Student(s):Anushka Chaubey (M.Tech student)

Work:From National Goals to Industry Action: AI-Driven Forecasting of India’s Carbon Emissions

Student(s):Aisha Hamad Hassan (M.Tech Student)

Work:Efficient Spam Detection with Sentence-BERT using Adaptive Uncertainty-Diversity Ranking Coresets

Student(s):Anushka Chaubey (M.Tech Student)

Work:From National Goals to Industry Action: AI-Driven Forecasting of India’s Carbon Emissions

Student(s):Shivam Bhardwaj (M.Tech Student)

Work:Adaptive Compression of Large Vision Models for Efficient Image Quality Assessment of AI-Generated Content

Student(s):Nimalesh Elangovan (M.Tech Student)

Work:(PRECISE)-Abreast Ultrasound Segmentation and Classification Challenge (PACE-2025)

Student(s):Rohan Saha (B.S. student) and Aisha Hamad Hassan (M.Tech student)

Work:Silver in Retweet Network Link Prediction: This task focused on predicting the likelihood of future retweet links in large-scale social network graphs. Bronze in Bursty Event Cascade Classification: This task aimed to classify and detect bursty information cascades, i.e., sudden spikes of activity around emerging events in social networks.

Student(s):Rohan Saha

Work:Building Temperature Prediction for Smart HVAC Control: A Multi-Stage Learning Framework

Student(s):Shivaanee Eswaran

Work:Uncertainty-guided Style-aware Perceptual Quality Assessment for AI-Generated Images

Student(s):Ahmed Silima Vuai

Work:Efficient Land-Cover Image Classification via Mixed Bit-Precision Quantization

Student(s):Ahmed Silima Vuai and Shivam Bhardwaj

Work:Fully funded research stays for one semester at Grenoble INP, France, and Université de Nantes, Polytech Nantes, France

Student(s):Vikalp, Shivam, Patrick, and Madhusudan

Work:VRD Layout Analysis and Structure Parsing competition