Members

Postdoc Researchers

Mahtab Sarvmaili
(Machine Learning Model Explanation and Editing)

Yixiao Yuan
(Inference Efficiency Enhancement for Vision Models)

Hammad Rizwan
(Co-supervision with Prof. Hassan Sajjad, Model Editing for Large Language Models)

Zhen Qin
(Upcoming, AI Systems for Mental Health)

Bardiya Rasekh
(Upcoming, Computer Vision for Spacecraft Pose Detection)

Zeting Luan
(Upcoming, TBD)

Matthew Young
(Machine Learning Model Explanation and Editing)

Akhlaqur Rahman Sabby
(Self-supervised Representation Learning via Self-evolvable Random Projectors with Layer6 AI)

Naihe Feng
(Conformal Prediction of Retrieval Augmented Generation (RAG))

Md Shahriar Tasjid
(Representation Disentangling for Accelerating Information Retrieval)

Moamen Khiet
(Large Language Model Fine-tuning with Safety Enhancement)

Deepa Ramachandran
(Knowledge Compression via Large Language Model)

Samit Mhatre
(Large-scale AI/ML Platforms for Industrial Applications with Farpoint Technologies Inc.)

Nithin Bharathi Kabilan Karpagavalli
(Fast Inference on Diffusive Generative Models.)

Ajaykumar Premkumar Nair
(Physic Informal Neural Network for Cloud Size Prediction.)

Guandong Wang
(personality Implant for Agentic AI.)

Yixiao Yuan
Graduated with MCS, 2024 Summer
(Machine Unlearning and Editing for Recommender Systems)

Sagar Paresh Shah
Graduated with MACS, 2024 Summer
(Data Interpolation for Individual Emotion Shifting Modelling with UpBeing Inc.)

Aiwin Charalil Manuel
Graduated with MACS, 2024 Summer
(Physical Dynamic Modelling with Machine Learning for Climate AI)

Krishna Modi
Graduated with MACS, 2024 Spring
(Public Knowledge Extraction with Self-reflected Prompting for Personalized Recommendation)

Aarya Chaudhari
Visiting Students, IIT, India, 2024 Summer
(Self-supervised Representation Learning for AI-driven Healthcare Systems)

Jun Gao
USRA, 2023 Summer
(Survey: Fairness of Recommender Systems)