Education:
- Ph.D. in Computer Science, University of Central Florida, USA (2019 – 2024)
- 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)
Teaching Experience:
- Assistant Professor, DHA Suffa University, Department of Computer Science, Karachi, Pakistan (2012 – 2024)
- Assistant Professor/ Lecturer, FAST – National University of Computer and Emerging Sciences, Karachi, Pakistan (2009 – 2012)
Courses:
- Object Oriented Programming & Design Methodologies
- Operating Systems
Biography:
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. He earned his M.S. in Computer Science from Lahore University of Management Sciences and his B.S. from FAST-NUCES.
As an Assistant Professor at FAST-NUCES, and founding faculty member of the Department of Computer Science at DHA Suffa University, Hammad has made significant contributions to curriculum design and founded the Suffa Innovation Labs Tech Incubator. His academic interests include exploring and integrating effective pedagogical tools and methodologies into his teaching.
Before entering academia, Hammad worked at Avanza Solutions, a leading software company in the region. His research focuses on automated content moderation through multimodal deep learning frameworks, and he has published several papers in prestigious conferences and journals. Hammad’s achievements include receiving the Fulbright Scholarship, LUMS Merit Scholarship, Best Teacher, and Best Poster awards.
Courses:
- Ahmed, S. H., Khan, M. J., & Sukthankar, G. (2024). Enhanced Multimodal Content Moderation of Children’s Videos using Audiovisual Fusion. The International FLAIRS Conference 2024, Miramar Beach, Florida, USA.
- Ahmed, S. H., Hu, S., & Sukthankar, G. (2023). The Potential of Vision-Language Models for Content Moderation of Children’s Videos. International Conference on Machine Learning and Applications (ICMLA) 2023, Jacksonville, Florida, USA. (Best Poster Award)
- Ahmed, S. H., Khan, M. J., Qaisar, H. M. U., & Sukthankar, G. (2023). Malicious or Benign? Towards Effective Content Moderation for Children’s Videos. The International FLAIRS Conference 2023, Clearwater Beach, Florida, USA.
- Khan, M. J., Ahmed, S. H., & Sukthankar, G. (2024). Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning. The International FLAIRS Conference 2024, Miramar Beach, Florida, USA.
- Khan, M. J., Ahmed, S. H., & Sukthankar, G. (2022). Transformer-Based Value Function Decomposition for Cooperative Multi-Agent Reinforcement Learning in StarCraft. AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE) 2022, Pomona, California, USA.
- Ahmed, S. H., Ewetz, R., & Sukthankar, G. (2022). Minimizing Elementary Gates in IBM Quantum Architectures using Deferred Swap Embedding. Poster track, The International Conference on Quantum Information Processing 2022, Pasadena, California, USA.
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Bellanthudawa, B. K. A., Nawalage, N. M. S. K., Halwatura, D., Ahmed, S. H., Kendaragama, K. M. N., & Neththipola, M. M. T. D. (2023).
Biophysical and biochemical features’ feedback associated with a flood episode in a tropical river basin model. Springer Environmental Monitoring and Assessment, 195(4):504. - Mahmood, T., Wasi, S., Khan, K., Ahmed, S. H., & Shaikh, Z. A. (2018). Information Processing in EventWeb through Detection and Analysis of Connections between Events. SAI International Journal of Advanced Computer Science and Applications (IJACSA), 9(10).
- Abawajy, J. H., Jami, S. I., Shaikh, Z. A., & Ahmed, S. H. (2012). A Framework for Scalable Distributed Provenance Storage System. Elsevier Computer Standards & Interfaces, 35(1).
