Affective Computing
Emotion understanding, facial expression recognition, affect-aware representations and real-world human-centered AI.
Assistant Professor · Computer Science & Engineering
Dr. Syed Sameen
Ahmad Rizvi
SRM University–AP, Amaravati
I develop intelligent, equitable and practical AI systems, with research spanning affective computing, multimodal AI, image enhancement, natural language processing and trustworthy machine learning.
Building intelligent systems for perception, reasoning and real-world human-centered AI.Affective Computing · Multimodal AI · Trustworthy ML
Research at a glance
Areas I work across
My research combines foundational machine learning with practical systems that must operate reliably on complex, imperfect and diverse real-world data.
Multimodal AI
Learning systems that fuse visual, language and contextual signals for practical intelligent applications.
NLP · LLMs · RAG
Language models, retrieval-augmented generation and grounded NLP systems for useful real-world workflows.
Trustworthy & Theoretical ML
Fairness, representation learning, robust learning and theoretical questions that improve how intelligent systems learn.
Computer Vision
Visual representation learning and efficient computer vision for challenging, unconstrained scenarios.
Image Enhancement
Super-resolution, refinement and emotion-preserving image restoration for downstream visual intelligence.
Research Lab
CogFusion
A newly established research lab at SRM University–AP exploring cognition, perception and learning to build practical, reliable and human-centered AI systems.
Explore CogFusion →Explore