Syed Hammad Ahmed
Education
- Ph.D. in Computer Science, University of Central Florida, USA (2019–2024) — specialized in Vision-Language Models and Multimodal Learning
- M.S. in Computer Science, Lahore University of Management Sciences, Pakistan (2006–2008)
- B.S. in Computer Science, FAST – National University of Computer and Emerging Sciences, Pakistan (2002–2006)
Research Interests
- Vision-language models and multimodal learning
- Automated content moderation
- Multi-agent reinforcement learning
- Quantum computing applications
Biography
Dr. Syed Hammad Ahmed holds a Ph.D. in Computer Science from the University of Central Florida, where he specialized in vision-language models and multimodal learning. As a founding faculty member of the Department of Computer Science at DHA Suffa University (2012–2024), he made significant contributions to curriculum design and founded the Suffa Innovation Labs Tech Incubator; he was earlier Assistant Professor/Lecturer at FAST-NUCES (2009–2012). Before entering academia, he worked at Avanza Solutions, a leading regional software company.
His research focuses on automated content moderation through multimodal deep learning frameworks, and he has published in venues including FLAIRS, ICMLA (Best Poster Award), and AIIDE. He is a recipient of the Fulbright Scholarship, LUMS Merit Scholarship, and multiple Best Teacher and Best Poster awards.
Selected Publications
- Ahmed, S. H., Khan, M. J., and Sukthankar, G. “Enhanced Multimodal Content Moderation of Children’s Videos using Audiovisual Fusion.” FLAIRS, 2024.
- Ahmed, S. H., Hu, S., and Sukthankar, G. “The Potential of Vision-Language Models for Content Moderation of Children’s Videos.” ICMLA, 2023. (Best Poster Award)
- Khan, M. J., Ahmed, S. H., and Sukthankar, G. “Transformer-Based Value Function Decomposition for Cooperative Multi-Agent Reinforcement Learning in StarCraft.” AIIDE, 2022.
- Ahmed, S. H., Ewetz, R., and Sukthankar, G. “Minimizing Elementary Gates in IBM Quantum Architectures using Deferred Swap Embedding.” International Conference on Quantum Information Processing, 2022.
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