The main interest areas of the group:

• Signal and image processing for biomedical applications 

• Machine and deep learning applications

• Edge AI optimization

• Time-series analysis

Dr. Mohamed Shaban is an Assistant Professor in the Electrical, and Computer Engineering department at the University of South Alabama (USA). He also has a joint appointment in the department of Pathology at the Whiddon College of Medicine, USA. He has previously served as an Assistant Professor of Computer Science at Southern Arkansas University, Graduate Teaching Assistant at the University of Louisiana at Lafayette and an Assistant Lecturer at Mansoura University.

Dr. Shaban has received the Ph.D., and M.S. degrees in Computer Engineering from the University of Louisiana at Lafayette in 2016, and 2012 respectively. He has also received the M.S. degree in Electrical Communications Engineering, and the B.S. degree (Excellent with Honors Degree) in Electronics, and Communications Engineering from Mansoura University, Egypt in 2010, and 2006 respectively. 

His current research interests are in the fields of Signal, and Image Processing for Biomedical Applications, Machine, and Deep Learning Applications, Edge Artificial Intelligence Optimization and Time-Series Analysis.

Md. Bipul Hossain is a graduate assistant and a current member of the AISG. He is pursuing the Ph.D. in Systems Engineering (Electrical and Computer Engineering Track) at the University of South Alabama. He has received the M.S. and B.S. degrees in Information and Communication Engineering from the Islamic University, Bangladesh in 2018 and 2016 respectively. In addition, he served as a faculty member at Noakhali Science and Technology University, Bangladesh during the period from Sept. 2018 until Dec. 2022. He is currently investigating and introducing novel deep learning model optimization algorithms for low-power low-complexity edge devices.  

Mohamed Salama is a graduate assistant and a current member of the AISG. He is pursuing the Ph.D. in Systems Engineering (Electrical and Computer Engineering Track) at the University of South Alabama. He has completed the M.S. and B.S. degrees in Communication and Computer Engineering from Benha University, Egypt in 2024 and 2020 respectively. He has previously served as an Assistant Lecturer at the Faculty of Engineering, Benha University, Egypt. He is currently investigating and proposing novel machine and deep learning methods for predicting the onset of geomagnetic substorms using visual data and other measurements provided by NASA. 

Madeline Potter is an honors undergraduate student pursuing a B.S. degree in computer engineering at the University of South Alabama and a current member of the AISG. Throughout her undergraduate degree, she has participated in various research projects focusing on artificial intelligence in edge computing, including an NSF REU at the University of South Alabama.  She has also participated in leadership positions at her university, as an Engineering Ambassador and as president of the Theta Lambda chapter of IEEE-HKN. Her current research focus is in artificial intelligence in medical applications, in the topic of cancer detection. After completing her undergraduate degree, she plans to pursue a PhD in electrical/computer engineering, continuing her research interests in artificial intelligence and its applications.