Shehan Irteza Pranto

ShehaIMG 1667496618589n is a PhD student at the Department of Electrical and Computer Engineering, University of Alabama. He acquired his B.Sc. degree in Electrical and Electronic Engineering from Ahsanullah University of Science and Technology, Bangladesh. He worked as a Research Engineer for one and half years at AIMS Lab, United International University, Bangladesh prior to joining at UA. His research interests include machine learning and deep learning algorithms, 3D modeling, computer vision, and speech technology.

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Siavash Fard

Siavash Esfandiari Fard received his bachelor’s degree in EE from the K. N. Toosi University of Technology, Iran in 2015. He completed his Master’s in Control Engineering from the K. N. Toosi University of Technology in 2017. Afterward, He worked as an Artificial Intelligence engineer at IKCO, the biggest car company in Iran. Currently, He is a PhD student in the ECE department at the University of Alabama, Tuscaloosa, AL, USA. His research interests include Control Theory, Machine learning, Image processing, Computer vision, Sensor signal processing, and Deep learning.

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Aqsa Yousaf

IMG 20221106 212052Aqsa Yousaf received her bachelor’s degree in EE from the University of Engineering & Technology, Pakistan in 2018. She completed her Master’s in Computer Science from the Pakistan Institute of Engineering & Applied Sciences in 2020. Afterward, she worked as a computer vision engineer at a construction cameras company, Evercam. Currently, she is a PhD student in the ECE department at the University of Alabama, Tuscaloosa, AL, USA. Her research interests include Machine learning, Image processing,  Computer vision, Sensor signal processing, and Deep learning. 

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Md Rafi Islam

Md Rafi Islam is a second-year Ph.D. student in the Electrical and Computer Engineering Department. His research primarily focuses on human movement intention detection. He is particularly interested in embedded system design for orthotic and prosthetic devices, signal processing, and applying machine learning algorithms to distinguish intention. Before intention detection research, Rafi worked on integrating BLE (nrf52832) in the AIM and smart lacelock device for real-time data collection and also updated the PCB design of the smart lacelock device to integrate BLE.

Rafi holds a Bachelor's in electrical and electronic engineering from Chittagong University of Engineering and Technology, Bangladesh. He worked on cuff-less blood pressure measurement in his bachelor's thesis.

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Md Billal Hossain

billal  Mr. Hossain received a Baccalaureate in ECE from KUET, Khulna, Bangladesh. Afterward, he worked for five years as a lecturer in the Electrical Engineering department at Manarat International University (MIU), Dhaka. In 2020, he received his M.S. in Electrical Engineering from The University of Akron, OH. Hossain is a Ph.D. student at the Department of ECE at the University of Alabama, AL. Mr. Hossain's research interest includes the Application of Machine Learning for mHealth, Wearable Sensor Devices; Data Security; Digital Image and Signal Processing; FPGA-based SoC Design; and Computer Networks.

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