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Ahmar Rashid
A forward-looking AI researcher and academic leader with over 20 years of experience in teaching, research, and innovation across machine learning, deep learning, NLP, and computer vision. My work increasingly intersects with large-scale ML systems, generative models, and multimodal data integration—positioning me strongly for foundational LLM research and scientific discovery. Key Achievements: • LLM & Generative AI Expertise: Delivered advanced lectures on GANs, Diffusion Models, Transformers, GPTs, and Explainable AI in undergrad/graduate courses as well as at national boot camps and workshops; mentored BS/MS/PhD students on NLP and deep learning topics. • Multimodal Research: Established the Aerial Robotics and Vision ARV Lab; led funded research projects involving multimodal data visual, sensor, time-series for UAV navigation and medical image analysis. • Scalable ML Systems: Hands-on experience with optimization algorithms, evolutionary computing, and distributed AI pipelines; applied AI in real-time applications such as target tracking and GPS-denied UAV navigation. • Industrial Collaboration: Actively consulted on AI-powered, real-time UAV systems integrating vision and sensor fusion; validated algorithms via simulation and high-fidelity drone video data. • National Contributions: Collaborated with HEC and PEC on curriculum modernization and policy; served as PEC Program Evaluator and nominated for Washington Accord review. • Global Outreach & Collaboration: Organized IEEE ICET 2022; built institutional ties and research MOUs with universities in the USA, South Korea, and Turkey. • Educational Development: Designed and taught rigorous graduate and undergraduate courses in ML, Deep Learning, NLP, and Computational Techniques; led curriculum innovation and faculty training initiatives. Research Interests: • Application and analysis of meta-heuristic and AI-based algorithms for solving optimization problems in image reconstruction, machine learning, computer vision, Natural Language Processing and Bioinformatics. Supevesed/co-supervised a number of MS/PhD students in the domain of computer vision/Aerial Imaging/machine learning/generative AI, etc. Professional Accreditation: • Pakistan Engineering Council PEC accredited Professional Engineer.
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