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Dr. Muhammad Adeel Nisar specializes in sensor-based human activity recognition for assistive health technologies, with expertise spanning multimodal time-series sensor data analysis, healthcare generative AI, computer vision, and 3D pose estimation. His research includes pioneering work in neurological disease detection, hunger detection for metabolic assessment, and mental flow analysis for professional settings. He has extensive experience with wearable sensors, IMU data processing, and developing AI solutions for healthcare applications.

Dr. Muhammad Adeel Nisar brings over 20 years of experience, including 19 years of teaching at Punjab University as an Assistant Professor. He holds a Doctor of Engineering in Pattern Recognition from Universität zu Lübeck, Germany, and an MPhil in Artificial Intelligence from Università degli Studi dell'Aquila, Italy. He has worked as a Scientific Researcher at prestigious institutions in Germany including Universität zu Lübeck, Universität Siegen, and Motognosis, contributing to projects like ScreenFM for infant neurological assessment and Cognitive Village for elderly care.

Dr. Muhammad Adeel Nisar actively supervises students at all levels including PhD candidates, Masters students, and undergraduate projects. He also mentors postdoctoral researchers in various research areas related to pattern recognition, machine learning, and healthcare AI. His supervision focuses on cutting-edge research in human activity recognition, healthcare technologies, and multimodal sensor data analysis, providing students with opportunities to work on real-world problems with significant societal impact.

Dr. Muhammad Adeel Nisar welcomes research collaborations in areas of human activity recognition, healthcare AI, and sensor data analysis. With his extensive international experience working with institutions in Germany and Italy, he brings a global perspective to research projects. You can reach out via email at Adeel.nisar@pucit.edu.pk to discuss potential collaborations, research funding opportunities, or joint publications. He is particularly interested in interdisciplinary projects that leverage AI for healthcare and assistive technologies.