جستجوی استاد راهنمای دانشگاهی

Prof. Baker Mohammad serves as Professor and Director of the System on Chip Lab in the Department of Computer and Information Engineering at Khalifa University. With over 15 years of industrial experience at Intel and Qualcomm designing microprocessors and DSP chips, he bridges academic research with real-world engineering challenges in high-performance computing and low-power systems. His educational background includes: Ph.D. in Electrical and Computer Engineering, University of Texas at Austin (2008) M.S. in Electrical and Computer Engineering, Arizona State University B.S. in Electrical Engineering, University of New Mexico Dr. Mohammad's research spans cutting-edge domains where VLSI design converges with AI acceleration and emerging memory technologies . His work pioneers Memristor applications in environmental sensing (radiation, vacuum, glucose) and neuromorphic computing, while advancing energy harvesting systems for wearable electronics. The integration of in-memory computing with security primitives represents a paradigm shift in hardware design, moving beyond traditional CMOS limitations. His publication trajectory reveals accelerating focus on self-powered neuromorphic systems and RRAM-based architectures, with recent work (2021-2023) emphasizing hardware-software co-design for edge AI. Over 75% of his recent publications involve cross-disciplinary collaborations spanning materials science, chemistry, and biomedical engineering. Notable scientific recognition includes: IEEE TVLSI Best Paper Award 2016 IEEE MWSCAS Myrill B. Reed Best Paper Award Qualcomm Qstar Award for Performance Leadership KUSTAR IP Excellence Award Multiple SRC Techon Best Session Papers As a dedicated mentor, he has supervised over 15 graduate students while securing competitive funding from Khalifa University, ADEK, Qualcomm, Tii, and UAE space agencies. His grant portfolio demonstrates exceptional translational impact, converting fundamental research in memristive devices into drone flight computers and medical sensors. Current projects integrate academic rigor with industrial deployment timelines. The System on Chip Lab operates as a multidisciplinary hub where semiconductor physicists collaborate with AI researchers to develop RISC-V-based secure processors and piezoelectric nanogenerator systems. Recent expansions include partnerships with Tii for aerospace applications and medical device startups for glucose monitoring technology.

• Very-Large-Scale Integration (VLSI)
• Hardware Accelerators for Artificial Intelligence
• Hardware Security
• +۷ مورد دیگر

Dr. Sherif Moussa is a Professor and Dean at the Faculty of Engineering, Applied Science and Technology, Canadian University Dubai. He holds a PhD in Electrical and Computer Engineering from the University of Quebec and an MSc from the University of Waterloo, both in Canada. Before joining CUD in 2007, he served as a lecturer at Centennial College in Toronto. His research focuses on: Wireless Communication Computer Networks Machine Learning Digital Circuit Design His recent publications explore machine learning applications in cybersecurity, MIMO-OFDM systems, FPGA implementations, and routing protocols, reflecting a consistent emphasis on optimizing wireless and network technologies. Trends show increasing work in AI-driven solutions and intrusion detection since 2018. He received the 2015 CUD Research Excellence Award and founded the university's first robotics club. He actively contributes as a reviewer and technical committee member for international conferences.

• Wireless Communication
• Computer Networks
• Machine Learning
• +۱ مورد دیگر

Dr. Lilas Alrahis serves as an Assistant Professor in the Department of Computer and Information Engineering at Khalifa University, Abu Dhabi, UAE. Her academic trajectory includes a Postdoctoral Associate position at New York University Abu Dhabi (NYUAD) from March 2021 to August 2024, where she contributed to the NYUAD Center for Cyber Security. Her doctoral education was completed in Electrical and Computer Engineering at Khalifa University, establishing her foundational expertise in hardware systems and security protocols. Dr. Alrahis specializes in hardware security with emphasis on design-for-trust methodologies and applied machine learning techniques. Her research bridges logic locking mechanisms with graph neural networks to develop resilient integrated circuit protections against counterfeiting and tampering, addressing critical vulnerabilities in semiconductor supply chains. This work demonstrates significant interdisciplinary convergence between cybersecurity, VLSI design, and artificial intelligence. Her scientific contributions have been recognized through multiple prestigious awards including the MWSCAS Myril B. Reed Best Paper Award (2016), dual Best Paper Awards at Cyber Security Awareness Week (2019, 2021), and the Karlsruhe Institute of Technology International Excellence Fellowship (2023). Dr. Alrahis actively contributes to academic service as Associate Editor for the Integration, VLSI Journal and chairs the IEEE Women in Engineering UAE affinity group. She secured the NYUAD Collaboration Grant in July 2023 to advance her hardware security research and teaches Digital Logic Design (ECCE210) at Khalifa University, shaping next-generation engineering education.

• Hardware Security
• Design-for-Trust
• Applied Machine Learning
• +۲ مورد دیگر

Dr. Abdulhadi Shoufan is an Associate Professor at the Computer and Information Engineering Department of Khalifa University . His research spans embedded security , cryptographic hardware , and secure drone operations , alongside innovative contributions to educational technology and lecture-free instruction . PhD in Computer Engineering from Technische Universitaet Darmstadt (2007) Director of the Learn-Smartly.com platform (2018–present) Research funded by TII , UAE Ministry of Education , and Hess State Ministry His recent work focuses on zero-trust architectures for chip-to-chip communication, AI-driven drone identification , and generative AI in education . Key trends include applying cryptographic methods to hardware security and leveraging YouTube for quality-controlled educational content delivery. Scientific Awards : Multiple teaching awards from Technische Universitaet Darmstadt Current Projects : Chip-to-Chip Zero-Trust Architecture (TII-funded) Lecture-Free Instruction (Mohammed Bin Rashid Smart Learning Program) LEEVs (YouTube content endorsement system)

• Embedded Security
• Cryptographic Hardware
• Post-Quantum Cryptography
• +۶ مورد دیگر

Dr. Paschalis Sofotasios is an Associate Professor at the Department of Electrical Engineering and Computer Science, Khalifa University. He has held academic positions at the University of Leeds, University of California, Los Angeles (UCLA), Tampere University of Technology, and Aristotle University of Thessaloniki. PhD, University of Leeds, UK MSc, University of Surrey, UK MEng, Newcastle University, UK His research focuses on Physical Layer Communications with emphasis on emerging wireless technologies and 6G systems, including communication theory, channel modeling, cognitive radio, cooperative communications, optical wireless communications, and physical layer security. He has contributed to areas like mm-wave communications, wireless power transfer, and hardware-constrained systems. Exemplary Reviewer, IEEE COMMUNICATIONS LETTERS Exemplary Reviewer, IEEE TRANSACTIONS ON COMMUNICATIONS Senior Member, IEEE Dr. Sofotasios has served as Associate Editor for IEEE COMMUNICATIONS LETTERS (2015–2020) and Guest Editor for the IEEE Open Journal of the Communications Society. He is affiliated with the 6G Research Center and the Center for Cyber-Physical Systems Research at Khalifa University.

• Communication Theory
• Channel Modeling
• Cognitive Radio
• +۹ مورد دیگر