TEAM

Saad Ahmed Qazi received his B.E. in Electrical Engineering in 2001 from NED University, Karachi. He completed his M.S. from Lancaster University, U.K. in Digital Signal Processing Applications in 2002. He did his Ph.D. from Brunel University, U.K. in 2006. Saad Ahmed Qazi is currently serving at NED University as Professor and Dean, Faculty of Electrical and Computer Engineering. He has several international publications and research projects. He is PI of Neurocomputation Lab under National Centre of Artificial Intelligence. He is also a Co-PI in National Incubation Center Karachi. His research interests include Digital Signal Processing, Joint Time Frequency Analysis, Intelligent Algorithms, Data Analytics and Decision Support System

Contact Number : +92-21-99261261

Email Address : saadqazi@neduet.edu.pk

LinkedIn : https://www.linkedin.com/in/saadqazi/

Dr. Hashim Raza Khan brings in years of experience in electronics design. He has worked on instrumentation and calibration systems at Agilent Technologies, Germany (now Keysight) as well as at Infineon Technologies, Germany on designing integrated circuits for mobile phones. For the last three years, he is also heading a successful commercial venture within a public sector organization offering repair, calibration, training and engineering services for local industry. The idea was conceived and implemented by him in fully bootstrap mode.

Contact Number : +92-21-99261261

LinkedIn : https://www.linkedin.com/in/hashimrazakhan/

Dr. Hasan completed B.Engg and M.Engg in Electronic from NED University in 2008 and 2010 respectively. He did his PhD in Biomedical Engineering from the University of Glasgow in 2014. He is experienced in working with team of medical doctors and engineers. He is well familiar with protocols that involve experiments on patients. He is currently involved on various projects related to Neuromodulation, EEG signal processing, and design of non-pharmacological techniques for the treatment of various neurological disorders. In general, his research areas are related to cognitive enhancement (improving peak performance) and pain management using non-invasive technologies (complementary therapy) such as neuroimaging, neuromodulation, peripheral and central stimulation, neuro-rehabilitation, and signal processing.

Contact Number : +92-21-99261261

LinkedIn : https://linkedin.com/in/abul-hasan-6830b01a

Urooj Alam holds a MS degree in Computer Science and Information Technology along with a Bachelor of Engineering degree in Electronic Engineering from NED University of Engineering and Technology. Being a tech-enthusiast, she is highly skilled in developing IoT systems, smart solutions, and related projects which led to many successful engineering projects. She played a significant role in the development of novel IoT-based smart solutions for the ceiling fan industry in Pakistan. With extensive indulgence in research and literature, she gained evident experience in research paper writing. She is also inclined towards exploring the vast field of Artificial Intelligence.

Contact Number : +92-21-99261261

LinkedIn : https://www.linkedin.com/in/urooj-alam/

Osama Ejaz is a Biomedical Engineer with a postgraduate degree in Mechatronics from NED University of Engineering and Technology. He has a strong grasp on biosignals measurement along with its processing techniques and implementation of AI algorithms in healthcare applications. He is passionate to introduce intelligent healthcare solutions for disease diagnostics, prognostics, and rehabilitation via smart wearable devices.

LinkedIn : https://www.linkedin.com/in/osama-ejaz-17a7b0173

Mahnoor Atiq is a Software Engineer with a postgraduate degree in Computer Science & Information Technology from NED University of Engineering and Technology. She is highly skilled in developing full-stack applications as she has an extensive experience in developing user-friendly and efficient desktop apps, online dashboards with live data streaming, visualization, processing, and analytics, as well as server administration, software deployment, and maintenance. She is also well-versed and experienced in Artificial Intelligence, Machine Learning, and Deep Learning for a wide range of real-world applications spanning from healthcare to electrical systems to automobiles.

LinkedIn : https://linkedin.com/in/mahnooratiq/