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| - | Mahfuzur Rahman received his B.S. degree from Bangladesh University of Engineering & Technology, Dhaka, Bangladesh and dual M.S. degrees in Electrical & Computer Engineering and Physics both from Michigan Technological University, Houghton, MI in 2016. He has worked as RF Engineer for over 10 years globally. He joined the Department of Electrical and Computer Engineering at Virginia Tech as a Ph. D. student in Fall 2021. His current research interests are in the broad area of wireless communications, Non-Terrestrial Network, and machine learning. | + | Mahfuzur Rahman received his B.S. degree from Bangladesh University of Engineering & Technology (BUET), Dhaka, Bangladesh and dual M.S. degrees in Electrical & Computer Engineering and Physics both from Michigan Technological University (MTU), Houghton, MI in 2016. He has worked as RF Engineer for over 10 years globally. He joined the Department of Electrical and Computer Engineering at Virginia Tech as a Ph. D. student in Fall 2021. His current research interests are in the broad area of wireless communications, Non-Terrestrial Network, and machine learning. |
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| Ramin Safavinejad received his B.S. degree in Electrical Engineering from Iran University of Science and Technology and his M.S. degree in Communication Systems from Sharif University of Technology, Tehran, Iran. He has joined the Bradley Department of Electrical and Computer Engineering since Spring 2022 to pursue his PhD as a member of Wireless@VT. His current research include 5G and beyond communication networks and systems, wireless scheduling, reinforcement learning and statistical learning theory. | Ramin Safavinejad received his B.S. degree in Electrical Engineering from Iran University of Science and Technology and his M.S. degree in Communication Systems from Sharif University of Technology, Tehran, Iran. He has joined the Bradley Department of Electrical and Computer Engineering since Spring 2022 to pursue his PhD as a member of Wireless@VT. His current research include 5G and beyond communication networks and systems, wireless scheduling, reinforcement learning and statistical learning theory. | ||
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| + | {{:shadab.jpg?direct&135x175 |shadab}} | ||
| + | Shadab Mahboob\\ | ||
| + | Ph.D. Student (Spring 2022 - )\\ | ||
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| + | Shadab Mahboob received his B.Sc. degree in Electrical and Electronics Engineering from Bangladesh University of Engineering & Technology (BUET), Dhaka, Bangladesh in 2017 and M.S. degree in Electrical Engineering from Rensselaer Polytechnic Institute (RPI), Troy, NY in 2021. He has joined Wireless@VT research group in the Bradley Department of Electrical and Computer Engineering at Virginia Tech as a Ph.D. student from Spring 2022. His research interests broadly include 5G networks, optimization and machine learning. | ||
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| + | {{:saisree.jpg?direct&135x175 |saisree}} | ||
| + | Sai Sree Rayala\\ | ||
| + | Ph.D. Student (Spring 2022 - )\\ | ||
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| + | Sai Sree received M.S. in Electrical Engineering from University of Southern California (USC) and is currently pursuing the Ph.D. degree in Electrical and Computer Engineering at Virginia Tech. She has around 5 years of working experience in the telecommunication field. Her current research interests include scheduling for beyond 5G networks using deep reinforcement learning and signal processing for OTFS. | ||
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members.txt ยท Last modified: 2023/11/15 15:28 by lingjialiu
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