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Faculty Dr Syed Sameen Ahmad Rizvi

Dr Syed Sameen Ahmad Rizvi

Assistant Professor

Department of Computer Science and Engineering

Contact Details

sameen.s@srmap.edu.in

Office Location

School of Engineering and Sciences Computer Science and Engineering Faculty Dr Syed Sameen Ahmad Rizvi

Faculty Information

Education

2025
PhD
Birla Institute of Technology & Science, Pilani
India
2019
B.Tech. CSE
Jamia Hamdard
India

Personal Website

Experience

  • February to March 2025- Research Scientist | Computer Age Management Services (CAMS)
  • 2020 to 2024- Teaching Assistant | Birla Institute of Technology & Science

Research Interest

  • Dr Rizvi’s research is centred around building intelligent, equitable, and practical AI systems with a focus on affective computing, image enhancement, and algorithmic fairness. His work integrates foundational methods in computer vision and deep learning with applications that are societally relevant and technologically impactful.
  • In affective computing, he develops models that can accurately perceive and interpret human emotional expressions, especially under real-world constraints such as low-resolution or noisy visual input. His contributions include large-scale dataset development (e.g., InFER, InFER++) and robust FER pipelines. In the domain of image enhancement, Dr Rizvi focuses on emotion-aware super-resolution and refinement techniques that improve visual quality while preserving semantic and affective cues—ensuring downstream tasks like emotion recognition remain reliable in practical deployments.
  • His work on fairness in AI systems is directed toward mitigating demographic and representational biases in facial analysis. Through techniques like latent alignment and fairness-aware learning, he aims to ensure that AI models perform equitably across diverse populations and do not propagate societal inequalities.

Memberships

Publications

Patents

Projects

Scholars

Interests

  • Affective Computing
  • Fairness in AI Systems
  • Image Refinement)

Thought Leaderships

There are no Thought Leaderships associated with this faculty.

Top Achievements

Research Area

No research areas found for this faculty.

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Recent Updates

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Education
2019
B.Tech. CSE
Jamia Hamdard
India
2025
PhD
Birla Institute of Technology & Science
India
Experience
  • February to March 2025- Research Scientist | Computer Age Management Services (CAMS)
  • 2020 to 2024- Teaching Assistant | Birla Institute of Technology & Science
Research Interests
  • Dr Rizvi’s research is centred around building intelligent, equitable, and practical AI systems with a focus on affective computing, image enhancement, and algorithmic fairness. His work integrates foundational methods in computer vision and deep learning with applications that are societally relevant and technologically impactful.
  • In affective computing, he develops models that can accurately perceive and interpret human emotional expressions, especially under real-world constraints such as low-resolution or noisy visual input. His contributions include large-scale dataset development (e.g., InFER, InFER++) and robust FER pipelines. In the domain of image enhancement, Dr Rizvi focuses on emotion-aware super-resolution and refinement techniques that improve visual quality while preserving semantic and affective cues—ensuring downstream tasks like emotion recognition remain reliable in practical deployments.
  • His work on fairness in AI systems is directed toward mitigating demographic and representational biases in facial analysis. Through techniques like latent alignment and fairness-aware learning, he aims to ensure that AI models perform equitably across diverse populations and do not propagate societal inequalities.
Awards & Fellowships
Memberships
Publications
Contact Details

sameen.s@srmap.edu.in

Scholars
Interests

  • Affective Computing
  • Fairness in AI Systems
  • Image Refinement)

Education
2019
B.Tech. CSE
Jamia Hamdard
India
2025
PhD
Birla Institute of Technology & Science
India
Experience
  • February to March 2025- Research Scientist | Computer Age Management Services (CAMS)
  • 2020 to 2024- Teaching Assistant | Birla Institute of Technology & Science
Research Interests
  • Dr Rizvi’s research is centred around building intelligent, equitable, and practical AI systems with a focus on affective computing, image enhancement, and algorithmic fairness. His work integrates foundational methods in computer vision and deep learning with applications that are societally relevant and technologically impactful.
  • In affective computing, he develops models that can accurately perceive and interpret human emotional expressions, especially under real-world constraints such as low-resolution or noisy visual input. His contributions include large-scale dataset development (e.g., InFER, InFER++) and robust FER pipelines. In the domain of image enhancement, Dr Rizvi focuses on emotion-aware super-resolution and refinement techniques that improve visual quality while preserving semantic and affective cues—ensuring downstream tasks like emotion recognition remain reliable in practical deployments.
  • His work on fairness in AI systems is directed toward mitigating demographic and representational biases in facial analysis. Through techniques like latent alignment and fairness-aware learning, he aims to ensure that AI models perform equitably across diverse populations and do not propagate societal inequalities.
Awards & Fellowships
Memberships
Publications
Contact Details

sameen.s@srmap.edu.in

Scholars