Dr. Ahmad Alsharoa - LAB HEAD

Received his PhD degree from Iowa State University, USA, in May 2017. He is currently an Assistant Professor with the Missouri University of Science and Technology (Missouri S&T), Missouri, USA. His current research interests include: smart systems, mobile wireless networks, high-altitude and satellite communications, edge computing, optical sensing and communications, reconfigurable intelligent surfaces, and green communications. Since 2021, he has been on the Editorial Board of the IEEE Wireless Communications Letters and the Frontiers in Communications and Networks journal. Contact him at aalsharoa@mst.edu.

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Omar Rinchi - Ph.d. candidate

Received a B.Sc. degree in Mechatronics Engineering from The University of Jordan, Amman, Jordan, in 2020. He is now a Ph.D. student with the Electrical and Computer Engineering Department at Missouri University of Science and Technology, Rolla, MO, USA. Contact him at omar.rinchi@mst.edu.

Enas Odat - Ph.d. student

Currently is a Ph.D. student in computer engineering at the Missouri University of Science & Technology. She received her Ph.D. in electrical engineering from King Abdullah University of science and technology, Saudi Arabia. Currently, she is working on the applications of deep learning for smart systems. Contact her at: eo2fg@mst.edu

Zachary OSTErwisch - Master student

Zach is a recent graduate and current student at the Missouri University of Science & Technology. He attained his Bachelor of Science Degree in Electrical Engineering in Spring 2022 and plans to earn his Master of Science Degree in Computer Engineering in Spring 2023. Throughout his research, work, and classwork, he has developed a strong background in Real-Time Embedded Systems, Optimization, and Computational Intelligence.

Currently, Zach is employed at Missouri S&T as a Graduate Research Assistant under Dr. Alsharoa and at Sandia National Laboratories as an R&D Graduate Intern. His academic research is in the field of Intelligent Transportation Systems and utilizes technology such as UAV, LiDAR, and embedded systems. He aims to develop an algorithm that can efficiently solve the optimal placements of UAV-LiDAR units within an urban smart-city environment. In his internship at Sandia, he codes embedded systems mainly in a Linux environment. His projects include developing an embedded system from scratch and is now designing an application-specific GUI. He is excited to utilize his degrees and experience in future career endeavors. Contact him at zmowf4@mst.edu.

Baya Cherif - MASTER student

Baya Cherif is a Master's student in Computer Engineering in the Optimization and Intelligent Wireless Systems (OWIS) lab under the supervision of Dr. Ahmad Alsharoa at Missouri University of Science and technology.

She received the Engineering Diploma in telecommunications from the Higher School of communications of Tunis (Sup'Com), Tunis, Tunisia. She is broadly interested in computer vision and deep learning, intelligent transportation systems, and smart cities applications. Her work focuses on LiDAR sensors and their use in modern cities and in human-related tasks. Contact her at: bcd7n@umsystem.edu.

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