About

Journey So Far

From doctoral research in computer vision and deep learning to industry AI and a faculty role focused on research, teaching and student mentorship.

Biography

Research, teaching and practical AI

Dr. Syed Sameen Ahmad Rizvi is an Assistant Professor in the Department of Computer Science and Engineering at SRM University–AP. He received his Ph.D. in Computer Science from BITS Pilani, where his research focused on computer vision and deep learning.

His research spans affective computing, image enhancement, trustworthy artificial intelligence, multimodal learning, natural language processing and theoretical machine learning, with an emphasis on translating methodological advances into practical real-world systems. His work has appeared in venues including AAAI, ICPR, IEEE Open Journal of the Computer Society and Cognitive Computation.

Alongside research, he is actively involved in undergraduate teaching and mentoring students in research-oriented projects, guiding them through problem formulation, literature review, experimental design, implementation, reproducibility and technical communication.

Experience

Professional timeline

July 2025 — Present
Academic

Assistant Professor

SRM University–AP · Computer Science & Engineering

Teaching undergraduate courses, mentoring student researchers, contributing to course planning and assessment design, and developing a research program in intelligent, equitable and practical AI systems.

February — March 2025
Industry

Research Scientist

Computer Age Management Services (CAMS)

Led AI engineers in the design and prototyping of machine learning solutions for process optimization in mutual fund and fintech workflows, contributing to technical oversight and strategic AI planning.

2020 — 2024
Teaching

Teaching Roles

BITS Pilani, Pilani Campus

Served across Machine Learning, Data Structures & Algorithms and Principles of Programming Languages through laboratory instruction, tutorials, mentoring and assessment.

Education

Academic training

2020–2025

Ph.D. in Computer Science

Birla Institute of Technology & Science, Pilani

Research area: Computer Vision and Deep Learning. Doctoral work included facial emotion recognition under low-resolution and real-world conditions.

2015–2019

B.Tech in Computer Science & Engineering

Jamia Hamdard

CGPA: 8.43. Undergraduate project work included a facial recognition-based attendance system.

Current research interests

Problems I want to push forward

Affective ComputingMultimodal AI SystemsComputer VisionImage EnhancementLLMsRAGNatural Language ProcessingTrustworthy AIFairness in AITheoretical Machine Learning