Number Systems for Deep Neural Network Architectures

Ghada Alsuhli received her B.S. and M.S. degrees in electronics and communication engineering from Damascus University, Syria, in 2009 and 2015, respectively. She obtained her Ph.D. degree in electronics and communication engineering from Cairo University, Egypt, in 2019. Throughout her academic journey, she has been actively involved in research at esteemed institutions such as the National Research Center in Egypt, The American University in Cairo, Egypt, and the SOC Center at Khalifa University, UAE. Currently, Ghada holds the position of Post-Doctoral Researcher at Khalifa University, UAE, where she focuses on the design and implementation of Artificial Intelligence accelerators. Her research interests encompass a wide range of areas, including Artificial Intelligence applications in wireless communications, airborne and ground ad-hoc networks, and biomedical engineering.

Vasilis Sakellariou received his Bachelor/Master Degree in Electrical Engineering and Computer Science in University of Patras, Greece, in 2015. He is currently pursuing his PhD title in Khalifa University in Abu Dhabi. During his master he specialized in the field of microelectronics, embedded systems, integrated circuits and VLSI design, while his thesis involved designing hardware accelerators for neuromorphic computing. His current research interests are focused on designing low-power accelerators for edge-AI devices by employing non-conventional arithmetic systems, with emphasis on the Residue Numbering System, as well as emerging in-memory computing paradigms.

Hani Saleh is an associate professor of electronic engineering at Khalifa University since 2017, he joined Khalifa as assistant professor on 2012. He was a co-founder of the KSRC (Khalifa University Research Center 2012-2018) and a co-founder and a theme-lead in the System on Chip Research Center (SOCC 2019-present) where he led multiple IoT projects for the development of wearable blood glucose monitoring SOC, mobile surveillance SOC and AI Accelerators for edge devices. Hani has a total of 19 years of industrial experience in ASIC chip design, microprocessor design, DSP core design, graphics core design and embedded system design. Prior to joining Khalifa University he worked for many leading semiconductor design companies including a Senior Chip Designer (Technical Lead) at Apple incorporation, Intel (ATOM mobile microprocessor design), AMD (Bobcat mobile microprocessor design), Qualcomm (QDSP DSP core design for mobile SOC's), Synopsys (designed the I2C DW IP included in Synopys DesignWare library), Fujitsu (SPARC compatible high performance microprocessor design) and Motorola Australia. Hani received a Bachelor of Science degree in Electrical Engineering from the University of Jordan, a Master of Science degree in Electrical Engineering from the University of Texas at San Antonio, and a Ph.D. degree in Computer Engineering from the University of Texas at Austin.

Mahmoud Al-Qutayri is Professor of Electrical and Computer Engineering and the Associate Provost for Academic Operations at Khalifa University (KU), UAE. He is also affiliated with KU System-on-Chip Center, which focuses on the design of high performance and energy efficient electronic devices and systems for a wide range of applications. Prior to joining Khalifa University, he worked at De Montfort University, UK, and the University of Bath, UK. He also worked at Philips Semiconductors, Southampton, UK. Dr. Al-Qutayri has authored or coauthored numerous technical papers in peer-reviewed journals and international conferences. He has also coauthored a book entitled Digital Phase Lock Loops: Architectures and Applications and has edited a book entitled Smart Home Systems. This is in addition to a number of book chapters and patents. His current research interests include embedded systems, in-memory computing and emerging memory technologies, energy efficient IoT systems, efficient edge computing and artificial intelligence hardware implementation, application of AI to wireless communication systems, wireless sensor networks, and cognitive wireless networks. He received a number of awards during his undergraduate and graduate education and professional career. His professional services include serving on the editorial board of some journals as well as membership of the steering, organizing, and technical program committees of many international conferences.

Baker Mohammad is the director of System on Chip center and professor of EECS at Khalifa University. Dr. Mohammad is a senior member of IEEE, IEEE distinguished lecture on Circuit and System chapter for 2023-2024 and a member of the Mohammed bin Rashid Academy of Scientists. Prior to joining Khalifa University, he was a Senior Staff Engineer/Manager at Qualcomm, Austin, Tx, USA, for 6-years, where he was engaged in designing high-performance and low-power DSP processors used for communication and multi-media application. Before joining Qualcomm, he worked for 10 years at Intel Corporation on a wide range of microprocessors design from high-performance, server chips > 100Watt (IA-64), to mobile embedded processor low power sub 1 watt (xscale). He has over 16 years of industrial experience in microprocessor design, emphasizing memory, low power circuit, and physical design. Baker earned his Ph.D. from the University of Texas at Austin in 2008, his M.S. degree from Arizona State University, Tempe, and BS degree from the University of New Mexico, Albuquerque, all in ECE. Hi^3 books, >18 US patents, multiple invited seminars/panelists, and the presenter of >3 conference tutorials, including one tutorial on Energy harvesting and Power management for WSN at the 2015 (ISCAS). Baker is an associate editor for IEEE Access, IEEE Transaction on VLSI (TVLSI), and Scientific Reports journals. Dr Mohammad participates in many technical committees at IEEE conferences and reviews for TVLSI, IEEE Circuits and Systems journals. He has received several awards, including the KUSTAR staff excellence award in intellectual property creation, IEEE TVLSI best paper award, 2016 IEEE MWSCAS Myrill B. Reed best paper award, Qualcomm Qstar award for excellence on performance and leadership. SRC Techon best session papers for 2016 and 2017. 2009 Best paper award for Qualcomm Qtech conference and Intel Involve in the community award for volunteer and impact on the community.

Thanos Stouraitis is an IEEE Life Fellow for his "contributions in digital signal processing architectures and computer arithmetic," is Professor of the Department of Electrical Engineering and Computer Science of Khalifa University, UAE. He is also Professor Emeritus of the University Patras, and has served on the faculties of Ohio State University, University of Florida, New York University, and University of British Columbia. He served on the National Scientific Board for Mathematics and Informatics of Greece and was a founding Council member of the University of Central Greece. He holds a Ph.D. from the University of Florida.
His current research interests include AI hardware systems, signal and image processing systems, computer arithmetic, and design and architecture of optimal digital systems with emphasis on cryptographic systems. He has authored about 200 technical papers, several book chapters, and holds several patents on DSP processor design. He has authored the Univ. of Patras Press book "Digital Signal Processing," and co-authored the Marcel Dekker Inc. book "Digital Filter Design Software for the IBM PC," and the 2017 Wiley-IEEE Press book "Arithmetic Circuits for DSP Applications". He has led several processor design projects funded by European Union and American organizations.
He has served as Editor or Guest Editor for numerous technical journals, including IEEE Trans. on Computers, Trans. on Circuits and Systems, Trans. on VLSI, etc. He served as General Chair and/or Technical Program Committee Chair for many international conferences, like IEEE ISCAS, AICAS, SiPS, ICECS, GlobeCom, etc. He received the IEEE Circuits and Systems Society Guillemin-Cauer Award. He has served IEEE in many ways, including as President, during 2012-13, of IEEE Circuits and Systems Society.

Ghada Alsuhli於2009年和2015年分別在敘利亞大馬士革大學獲得電子與通信工程的學士和碩士學位。她於2019年在埃及開羅大學獲得電子與通信工程的博士學位。在她的學術旅程中，她積極參與在埃及國家研究中心、美國開羅大學以及阿聯酋哈利法大學的SOC中心等知名機構的研究。目前，Ghada擔任阿聯酋哈利法大學的博士後研究員，專注於人工智慧加速器的設計與實現。她的研究興趣涵蓋廣泛的領域，包括無線通信中的人工智慧應用、空中和地面即時網路以及生物醫學工程。

Vasilis Sakellariou於2015年在希臘帕特雷大學獲得電機工程與計算機科學的學士/碩士學位。他目前在阿布達比的哈利法大學攻讀博士學位。在碩士期間，他專注於微電子學、嵌入式系統、集成電路和VLSI設計，並且他的論文涉及為類腦計算設計硬體加速器。他目前的研究興趣集中在為邊緣人工智慧設備設計低功耗加速器，採用非常規算術系統，特別是殘餘數系統，以及新興的內存計算範式。

Hani Saleh自2017年以來擔任阿聯酋哈利法大學電子工程的副教授，並於2012年加入哈利法大學擔任助理教授。他是KSRC（哈利法大學研究中心，2012-2018）的共同創辦人，並且是系統單晶片研究中心（SOCC，2019至今）的共同創辦人及主題負責人，在該中心他領導了多個物聯網項目，開發可穿戴血糖監測系統單晶片、移動監控系統單晶片和邊緣設備的人工智慧加速器。Hani在ASIC晶片設計、微處理器設計、DSP核心設計、圖形核心設計和嵌入式系統設計方面擁有19年的工業經驗。在加入哈利法大學之前，他曾在多家領先的半導體設計公司工作，包括在Apple擔任高級晶片設計師（技術負責人）、在Intel（ATOM移動微處理器設計）、在AMD（Bobcat移動微處理器設計）、在Qualcomm（為移動系統單晶片設計QDSP DSP核心）、在Synopsys（設計了包含在Synopsys DesignWare庫中的I2C DW IP）、在Fujitsu（SPARC兼容的高性能微處理器設計）和在Motorola Australia工作。Hani獲得約旦大學的電機工程學士學位、德克薩斯州聖安東尼奧大學的電機工程碩士學位，以及德克薩斯州奧斯汀大學的計算機工程博士學位。

Mahmoud Al-Qutayri是阿聯酋哈利法大學（KU）電氣與計算機工程的教授及學術運營副教務長。他還隸屬於KU系統單晶片中心，該中心專注於設計高性能和高能效的電子設備和系統，應用於廣泛的領域。在加入哈利法大學之前，他曾在英國德蒙福特大學和巴斯大學工作，也曾在英國南安普敦的飛利浦半導體公司工作。Al-Qutayri博士在同行評審的期刊和國際會議上發表或共同發表了多篇技術論文。他還共同編寫了一本名為《數位相位鎖迴路：架構與應用》的書籍，並編輯了一本名為《智慧家居系統》的書籍。此外，他還撰寫了多篇書籍章節和專利。他目前的研究興趣包括嵌入式系統、內存計算和新興記憶技術、能效物聯網系統、高效邊緣計算和人工智慧。