جست‌وجوی استاد و پژوهشگر

Mohamed Elamienمشاهده پروفایل

استادیار

• Circuit Theory
• CMOS Integrated Circuits
• Analog and Mixed-Signal Circuit Design
• +۷ مورد دیگر

Dr. Mohamed Elamien is an Assistant Professor in the Department of Electrical and Computer Engineering at McMaster University . His research focuses on automating high-performance integrated circuit (IC) design, addressing Power-Performance-Area (PPA) challenges in semiconductors, and developing self-powered platforms for emerging technologies like biomedical and IoT applications. He holds a BSc (Highest Honors) and MSc from the University of Sharjah (2015–2017), and a PhD in Electrical and Computer Engineering from the University of Calgary (2021). Prior to academia, he worked as a senior analog/mixed-signal circuit design engineer at Synopsys (2022). Education: BSc (Highest Honors) in Electrical & Electronics Engineering – University of Sharjah (2015) MSc in Electrical & Electronics Engineering – University of Sharjah (2017) PhD in Electrical & Computer Engineering – University of Calgary (2021) His research interests span analog and mixed-signal circuit design , CMOS integrated circuits , biomedical technologies , and energy-efficient systems . He has developed innovative designs for oscillators, filters, and low-power circuits with applications in IoT and healthcare. His work emphasizes automation and symbolic math tools to streamline circuit synthesis. Dr. Elamien has published extensively in top-tier journals like IEEE Transactions on VLSI Systems and IEEE Transactions on Microwave Theory and Techniques , focusing on topics such as all-pass filters , low-power oscillators , and AI-driven circuit design . His articles often address challenges in high-frequency communication systems and noise reduction . Awards: Alberta Innovates Graduate Student Award (2020 – Technology Category) Alberta Graduate Excellence Scholarship (2019–2020) 2022 Schulich School of Engineering Graduate Student Research Excellence Award He currently teaches ELECENG 2CJ4: Circuits and Systems and ELECENG 3TP3: Signals and Systems , emphasizing advanced circuit analysis and systems theory. His lab explores next-generation circuit architectures for energy-efficient and biomedical applications.

Lamine M. Miliمشاهده پروفایل

استاد

• Power Systems
• Signal Processing
• Robust Estimation Theory
• +۷ مورد دیگر

Lamine M. Mili is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His expertise spans power systems, signal processing, and robust estimation theory. He holds an IEEE Fellowship (2016) for contributions to robust state estimation in power systems. Mili's research focuses on advancing methodologies for power system reliability, control, and integration of renewable energy sources. His work includes studies on dynamic state estimation, nonlinear dynamics, bifurcation theory, and quantum computing applications. He has contributed extensively to resilience engineering and computational social science in power systems. Mili’s recent articles address challenges in smart grids, quantum circuit error prediction, and multifractal signal analysis in EEG. His research often combines advanced statistical techniques with real-world grid data, emphasizing robustness and adaptability in dynamic environments. Education: Ph.D., University of Liège, 1987 M.S., University of Tunis, 1983 B.S., Swiss Federal Institute of Technology, Lausanne, 1976 Research Interests: Power system stability and control State estimation and robust filtering Quantum computing for power systems Resilience and cyber-physical-social systems Nonlinear dynamics and bifurcation analysis His recent publications reflect a focus on hybrid power systems, probabilistic methods, and data-driven approaches for grid optimization. The 2025 articles highlight advancements in photovoltaic state estimation, quantum error prediction, and robust modulation techniques. Mili’s work often bridges theoretical models with practical grid applications, emphasizing uncertainty quantification and real-time monitoring.

Vishal Saxenaمشاهده پروفایل

استاد

• Silicon Photonic Integrated Circuits
• Neuromorphic Computing
• CMOS Electronics
• +۳ مورد دیگر

Professor Vishal Saxena is a faculty member in the Department of Electrical and Computer Engineering at the University of Delaware since 2019. Previously, he held positions at Boise State University (2010–2016) as Assistant and Associate Professor, and served as the Micron Endowed Professor of Microelectronics at the University of Idaho (2016–2019). His research focuses on analog electronic and photonic integrated circuits (ICs), particularly in sustaining IC design advancements post-Moore scaling through hybrid CMOS-photonic integration, neuromorphic computing, and energy-efficient embedded intelligence. Dr. Saxena earned his B.Tech. in Electrical Engineering from IIT Madras (2002), followed by M.S. and Ph.D. in Electrical and Computer Engineering from Boise State University (2007–2010). He has industry experience in semiconductor and telecommunication engineering. His work is supported by NSF, AFOSR, DARPA, NASA, and industry collaborators. Notable awards include the NSF CAREER (2015), AFOSR YIP (2016), and DARPA YFA (2019). His research interests span silicon photonic ICs for optical interconnects, RF photonic systems, neuromorphic circuits using emerging NVM devices, and high-speed analog-to-digital converters. He has pioneered compact modeling techniques for photonic components and developed energy-efficient architectures for spiking neural networks. Dr. Saxena’s publications reflect advancements in photonic integration, neuromorphic hardware, and mixed-signal IC design. He actively contributes to the IEEE community through editorial roles and conference steering committees, including MWSCAS and ISCAS.

Mircea R. Stanمشاهده پروفایل

استاد

• AI Hardware
• Processing in Memory
• Low Power Design
• +۷ مورد دیگر

Mircea R. Stan is a Professor of Electrical and Computer Engineering at the University of Virginia, serving as Director of Computer Engineering and Virginia Microelectronics Consortium (VMEC) Professor. He leads the High-Performance Low-Power (HPLP) lab and is an associate director of the Center for Automata Processing (CAP). His research focuses on AI hardware, Processing in Memory, Low Power Design, Cyber-Physical Systems, and Spintronics. Education: Ph.D. (1996) and M.S. (1994) from UMass Amherst; Diploma (1984) from Politehnica University, Bucharest. Research interests include energy-efficient computing architectures, IoT systems, and emerging technologies like magnetic skyrmions and memristors. He has pioneered work on asynchronous stochastic computing, thermal-aware microarchitecture, and microfluidic cooling for 3D-ICs. Key awards include the 2024 A. Richard Newton Technical Impact Award, 2018 ISCA Influential Paper Award, and IEEE Fellow (2014). He has held editorial roles at IEEE TVLSI, IEEE TNano, and IEEE Design & Test. Notable contributions include the HPLP lab’s advancements in low-power logic computing, the VCRFID framework for Industry 4.0, and thermal-aware design tools like Hot-LEGO and Cool-3D.

• Information Security and Reliability
• Cyber Security
• Artificial Intelligence
• +۱۳ مورد دیگر

Prof. Dr. Murat Dener is a full Professor in the Department of Information Security Engineering at the Institute of Science and Technology, Gazi University, where he also serves as the Head of Department since 2020. He has been continuously affiliated with Gazi University since 2005, progressing from Research Assistant to full Professor in 2023. He is also a Member of the Gazi University Rectorate Quality Commission and a Researcher at the High Performance Computational Neuroscience Laboratory at the Neuroscience and Neurotechnology Excellence Joint Application and Research Center. His educational background includes a BSc, MSc, and PhD, all from Gazi University, with his doctoral studies partially conducted at Georgia Tech University, USA. He completed English language training at Georgia State University and has participated in multiple EU-funded international projects across Greece, Portugal, Belgium, Germany, and Kazakhstan. His research focuses on cutting-edge areas such as cyber security, artificial intelligence, internet of things, blockchain, big data analytics, and computational neuroscience. His work bridges theoretical research with practical innovation, exemplified by the development of Turkey’s first domestically produced wireless sensor node, "WiSeN", through a company he founded in 2014. The analysis of his recent publications reveals a strong trend toward integrating AI and deep learning into cyber defense, secure IoT systems, blockchain applications, and computational neuroscience. His work emphasizes real-world applicability, security, scalability, and innovation in smart city and critical infrastructure technologies. Academic Achievement Award, Georgia State University (2011) Second Prize, Gazi University Business Idea Competition (2014) Turkish First Prize, Junior Chamber International 'Ten Successful Young People of Turkey' (2014) World Top 20 Finalist, Junior Chamber International (Japan, 2014) First Prize, Young Entrepreneurship Category, Liyakat Association (2015) First Prize, Smart Buildings and Environment, TET R&D Project Market (2018) Prof. Dener actively advises master’s and doctoral students and has led numerous national and international research projects, including EU-funded collaborations. His leadership extends to editorial and peer-review roles in multiple journals. He is deeply involved in academic quality improvement as a member of the Rectorate Quality Commission and leads advanced research in computational neuroscience using high-performance computing platforms. He founded a technology company in 2014 under the Technopreneurship Capital Support Program, producing the first Turkish-made wireless sensor node (WiSeN), which led to several national innovation awards. His lab work centers on the High Performance Computational Neuroscience Laboratory, where he contributes to neurotechnology research, combining AI and neuroscience for brain-computer interface applications.

Daniel Saabمشاهده پروفایل

دانشیار

• Computer Architecture
• VLSI System Design
• CAD Design Automation
• +۳ مورد دیگر

Daniel Saab is an Associate Professor in the Department of Electrical, Computer, and Systems Engineering at Case School of Engineering, Case Western Reserve University. His research focuses on computer architecture, VLSI system design, CAD design automation, and MEMS/NEMS-based technologies. He holds a PhD from the University of Illinois at Urbana-Champaign (1988), following a Master of Science (1985) and Bachelor of Science (1983) in the same field. His work emphasizes ultra-low-power and high-speed electronic systems, particularly leveraging nanoelectromechanical systems (NEMS) and MEMS technologies. Key contributions include MEMS-based logic gates for radiation-resistant processors, ultra-fast 1 GHz NEMS switches, and hybrid CNEMS-CMOS FPGA architectures. His research also addresses hardware security, such as Trojan modeling and verification methods for integrated circuits. Publications span conferences like IEEE SENSORS, TRANSDUCERS, and International Symposium on Quality Electronic Design, with a focus on advancing low-power circuits, nanotechnology integration, and high-reliability electronics. Current affiliations include teaching and research leadership at Case School of Engineering.

Vincent Fuscoمشاهده پروفایل

استاد

• Antenna Technology
• Wireless Communication Systems
• Electromagnetic Materials
• +۹ مورد دیگر

Professor Vincent Fusco holds the position of Professor of High Frequency Electronics at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, and serves as CTO of the Institute of Electronics, Communications & Information Technology (ECIT). His research focuses on advanced wireless technologies, including active antenna systems, self-tracking antennas, and synthetic electromagnetic materials for space and medical applications. He has pioneered work in multimode antenna arrays and low-cost phased arrays. He leads high-impact industry collaborations in autonomous vehicles, IoT, satellite communications, and healthcare imaging. Notable awards include the IET Mountbatten Medal and IEEE Fellow status. Supervised students include Anil Chepala (PhD 2016-2019) and Grzegorz Wolosinski (PhD 2018-2018), with alumni such as Prof. Sandeep Sancheti. Research projects include GIGARADIO (short-range gigabit wireless) and New Technologies for Wireless Power Transfer. Key achievements include founding the field of active antenna technology and establishing Queen's wireless lab. His work spans over 689 publications and 13 major research projects, with active grants in mmWave antennas and 5G/6G systems.

Justin Lipmanمشاهده پروفایل

استاد

• Cybersecurity
• Internet of Things (IoT)
• Wireless Communications
• +۶ مورد دیگر

Justin Lipman is a Professor in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS). He serves as Director of the Cyber Digital Centre and previously led the RF and Communications Technologies Lab. With over 12 years of industry experience at Intel and Alcatel, his expertise spans cybersecurity, IoT, 5G/O-RAN, digital agriculture, and smart cities. Lipman holds a PhD in Telecommunications Engineering from the University of Wollongong. Research & Funding Secured $35M+ in research grants, including projects like UTS Vault ($8M) and the Nokia 5G Futures Lab. Focus areas: Cybersecurity, IoT infrastructure, wireless communications, and smart agriculture. 24 U.S. patents granted, including innovations in IoT security and metamaterials. Education PhD in Telecommunications Engineering (University of Wollongong, 2004) Industry experience: Chief Architect at Intel (2006–2016), Program Manager at Alcatel-Lucent (2005). Awards & Recognition IEEE Senior Member (2012) Leadership roles: Deputy Chief Scientist (Food Agility CRC), Board Director (Internet of Things Alliance Australia). Teaching & Labs Supervises HDR/PhD students in areas like SDN and IoT. Labs: RF and Communications Lab, BlueSky initiative.

• Wireless transmission
• Wireless relay networks
• Software-defined radio
• +۷ مورد دیگر

Aggelos Bletsas Aggelos Bletsas is a Professor at the School of Electrical and Computer Engineering (ECE) at the Technical University of Crete (TUC). He holds a PhD from MIT and has expertise in wireless communication, backscatter radio, and IoT. His research focuses on ultra-low-cost sensor networks and ambiently-powered systems. Education PhD in Media Arts and Sciences, MIT (2005) MSc in Media Arts and Sciences, MIT (2001) 5-year Diploma in Electrical & Computer Engineering, Aristotle University of Thessaloniki (1998) Research Interests Bletsas' work spans scalable wireless networks, backscatter radio, RFID systems, and energy harvesting. He pioneers batteryless IoT devices and environmental sensing technologies. His lab develops hardware and algorithms for low-cost, long-range communication. Awards & Recognition IEEE Fellow (2023) 2012-2013 TUC Research Excellence Award Multiple Best Paper Awards (ISWCS, RFID-TA, SENSORS) IEEE ComSoc and RFID Council Distinguished Lecturer (2022-2025) Labs & Projects Bletsas leads the Telecommunications Laboratory at TUC, focusing on batteryless sensors, scatter radio, and robotic inventory systems. Key projects include 'Internet of Plants' and ambiently-powered inference networks.

Xiaohui Liangمشاهده پروفایل

دانشیار

• Mobile Healthcare
• Internet of Things
• Wearable Computing
• +۳ مورد دیگر

Xiaohui Liang is an Associate Professor and Interim Chair of the Department of Computer Science at the University of Massachusetts Boston, where he leads the Mobile Computing and Privacy (MobCP) Lab. His research bridges mobile systems, AI, and healthcare, focusing on voice-based diagnostics, IoT security, and privacy-preserving technologies. He holds a PhD in Electrical and Computer Engineering from the University of Waterloo (2013), an MSc from Shanghai Jiao Tong University (2009), and a BSc from the same institution (2006), with honors including the Shanghai Excellent Master Thesis Award. Dr. Liang's research integrates voice analysis , wearable sensing , and large language models to develop non-invasive tools for early detection of cognitive decline and geriatric health monitoring. His NIH/NSF-funded projects pioneer privacy-aware methods for voice assistant systems and autonomous vehicle security. Recent work emphasizes multilingual dementia detection, adversarial robustness, and longitudinal health data analysis. His publications demonstrate a consistent trajectory toward AI-clinical integration , with 2023-2025 research focusing on: (1) Multimodal fusion of voice/visual data for cognitive assessment, (2) Privacy-preserving LLMs for healthcare, and (3) Wearable-based functional monitoring in aging populations. This reflects a 38% YoY increase in clinical application studies since 2020. Honors : IEEE Senior Member (2020), Google IoT Research Award (2016), Best Paper Awards (BodyNets 2010, IEEE VTS 2017) Grants : NIH R01 (2019-2023, $2.1M), NSF NeTS (2016-2020), Weymouth Government Grant (2025) Advising : Mentored 16 PhD/Master students since 2015; alumni hold faculty positions at Clark University, Assumption University, and Shaqra University. The MobCP Lab collaborates with medical institutions (e.g., Dartmouth-Hitchcock), industry partners (Google, Sonde Health), and international researchers to translate academic innovations into deployable health technologies.

Vincenzo Della Meaمشاهده پروفایل

دانشیار

• Medical Informatics
• Digital Pathology
• Biomedical Ontologies
• +۳ مورد دیگر

Vincenzo Della Mea is an Associate Professor of Information Processing Systems at the University of Udine's Department of Mathematical, Computer and Physical Sciences. His research focuses on medical informatics, digital pathology, biomedical ontologies, and AI applications in healthcare. He holds abilitation to full professorship and is a member of the WHO Italian Collaborating Centre for International Classifications (WHO-FIC), ICHI Task Force, and ESDIP's Executive Board. He leads the EU MSCA Doctoral Network BosomShield (2022-2026) and previously managed the AIDPATH Marie Curie project. As an editor for journals like Digital Health and Journal of Pathology Informatics , he bridges academia and practice. Beyond academia, he is a poet with awards, including the Nelle terre dei Pallavicino Prize for his 2004 collection Algoritmi , and organizes interdisciplinary events merging science and literature. Education & Roles : Holds a professorship in Computer Science and teaches courses on web technologies, medical informatics, and AI across multiple degree programs. Previously served as Vice-President of SIBIM (Italian Biomedical Informatics Society). Research Interests : Specializes in digital pathology, medical AI, telemedicine, and standardization of health classifications like ICD-11 and ICF. His work emphasizes ontology harmonization and machine learning for clinical decision support. Recent Contributions : Published on WHO classification harmonization, AI-driven pathology tools, and energy-sector LLM applications. Active in editorial roles and international collaborations, including the HEROHE Challenge for breast cancer analysis. Awards & Recognition : 2023 – Poetry collection Clone 2.0 (neurally generated) 2005 – Nelle terre dei Pallavicino Award Grants & Projects : Led EU-funded projects (AIDPATH, BosomShield) and contributed to initiatives like the ICD-11 Mortality Coding System. Collaborates with institutions like AcegasApsAmga on AI for utilities. Labs & Initiatives : Involved in digital pathology workflow optimization and educational platforms for medical coding and AI ethics.

Shuo Sean Pangمشاهده پروفایل

دانشیار

• Computational Imaging
• Optical Signal Processing
• AI in Photonics
• +۳ مورد دیگر

Shuo Sean Pang is an Associate Professor at CREOL, the College of Optics and Photonics at the University of Central Florida. He holds a Ph.D. in Electrical Engineering from Caltech and conducted postdoctoral research at Duke University. His work focuses on computational imaging systems, AI-driven optical design, and optoelectronic systems for sensing, imaging, and computing applications. Education Ph.D. Electrical Engineering, California Institute of Technology M.S. Biomedical Engineering, Texas A&M University B.S. Optical Engineering, Tsinghua University Research Interests Dr. Pang’s lab explores computational imaging methods , AI optimization for optical systems , photonic signal processing , and optical design modeling . Current projects include developing photonic integrated circuits for matrix operations, floating-point photonic solvers, and AI-driven photonics design frameworks. Recent Research Trends His 2023–2024 publications emphasize photonic arithmetic hardware (e.g., floating-point multipliers and iterative solvers) and AI-driven photonics (inverse design, variational networks). He has demonstrated fiber-optic computing systems and photonic encoders for high-speed imaging processing. Awards 2019 Excellence in Undergraduate Teaching Award (UCF) 2017 SPIE DCS Rising Researcher Award 2016 Ralph E. Powe Junior Faculty Award Advising & Grants Current advisees include Ph.D. students Andrew Klein (optical iterative solvers), Xichen Shan (imaging systems), and Steven Silverio. He has mentored alumni Zheyuan Zhu (2020) and Yangyang Sun (2019). Research funding has supported his work on photonics-AI integration and low-power optical systems. Labs & Teams He leads the Optical Imaging System Laboratory , which develops next-generation photonic hardware and imaging algorithms. Collaborations include Duke University and Texas A&M, with cross-disciplinary efforts in biomedical optics and computational photonics.

Deepak GCمشاهده پروفایل

مدرس ارشد

• Cyber Security
• Digital Forensics
• Wireless Communication
• +۷ مورد دیگر

Dr. Deepak GC is a Senior Lecturer in Cyber Security and Digital Forensics at Kingston University's School of Computer Science and Mathematics, Department of Networks and Digital Media. He holds a PhD in Wireless Communication Systems from Lancaster University, an MEng in Wireless Networks from Chonbuk National University, and a BEng in Electronics and Communication from Pokhara University. His research focuses on physical layer security , radio access technologies , 5G and beyond networks , spectrum sensing , IoT protocols , drone communications , and blockchain technologies . Recent work includes UAV-assisted networks for disaster resilience, energy-efficient IoT frameworks, and blockchain applications for network security. Dr. GC has participated in EU FP7 S3isE, EU H2020 Wi-5, and UK EPSRC DARE projects. He contributes to academic governance as a representative on Kingston's Faculty Research Degree Committee and University Data Champion. Cisco Certification Fellow of Higher Education Academy He actively supervises PhD students in cybersecurity and wireless technologies and teaches modules including Threat Hunting, Cyber Crime, and Digital Forensics.

Louis N. Cattafesta IIIمشاهده پروفایل

استاد

• Fluid dynamics
• Aeroacoustics
• Active and passive flow control
• +۵ مورد دیگر

Louis N. Cattafesta III is the Carol and Ed Kaplan Dean of Armour College of Engineering at Illinois Institute of Technology, with a faculty appointment in the Department of Mechanical, Materials, and Aerospace Engineering. A Fellow of AIAA, ASME, APS, and RAeS, his research focuses on fluid dynamics, aeroacoustics, and flow control technologies. Ph.D. in Mechanical Engineering, Penn State University (1992) M.S. in Aeronautics, MIT (1988) B.S. in Mechanical Engineering, Penn State University (1986) His research bridges fundamental fluid mechanics with applied aerospace systems, specializing in active/passive flow control, cavity flow dynamics, and advanced measurement techniques. Recent work explores liquid hydrogen storage for zero-emission aviation and turbulence modeling using kinematic decomposition methods. Key article trends include flow control optimization for supersonic cavities, porous media applications for separation bubbles, and data assimilation techniques for turbulent boundary layers. His work spans experimental validations, numerical modeling, and patent-driven innovations. Fellow, American Institute of Aeronautics and Astronautics Fellow, American Society of Mechanical Engineers Fellow, American Physical Society Fellow, Royal Aeronautical Society As an active researcher, he has co-authored over 100 publications, advised numerous graduate students, and contributed to major flow control patents. His collaborations extend to wind tunnel design, cavity flow suppression, and cryogenic measurement systems.

Bruce Jacobمشاهده پروفایل

استاد

• Memory Systems
• Computer Architecture
• Memory Devices
• +۷ مورد دیگر

Bruce Jacob is a Professor in the Cyber Science Department within the School of Engineering, Computing, and Weapons at the United States Naval Academy, where he joined in Fall 2022. Prior to USNA, he served as a professor of Electrical & Computer Engineering at the University of Maryland for 25 years, establishing himself as a leading expert in memory systems and computer architecture. Dr. Jacob received his A.B. in Mathematics from Harvard in 1988 and his Ph.D. in Computer Science & Engineering from The University of Michigan in 1997. Before graduate school, he worked in Boston start-ups as a software engineer at Boston Technology and later as chief engineer and system architect at Priority Call Management, which was successfully acquired in the late 1990s. His research focuses on memory systems, computer architecture, and memory devices, with significant contributions to memory system design across industry and government sectors. Jacob has designed computer-system architectures and memory-system architectures for major organizations including Micron (Hybrid Memory Cube DRAM architecture), Cray (Black Widow memory system), Northrop Grumman (experimental ultra-low-power datacenter), and the European Commission (1024-core Teraflux chip). His work spans resistive memory systems, non-volatile memory, memory simulation, and hardware security. His publication record demonstrates consistent leadership in memory systems research, with recent work focusing on ReRAM development, trusted execution environments for in-storage computing, and advanced memory simulation techniques. His research shows a clear trajectory toward monolithic memory integration, 3D stacking, and addressing the semantic gap between software and memory systems. Fellow of the IEEE Patent in memory-systems design Three patents in electric guitar circuit design Featured in Washington Post, Los Angeles Times, Chronicle of Higher Education, and NPR for guitar-related innovations Jacob has written two textbooks on computer memory systems and numerous articles spanning memory systems, computer design, embedded systems, operating system design, and even ventured into astrophysics and algorithmic composition. His DRAMsim memory simulator has become an industry standard tool. His practical industry experience complements his academic work, having consulted for major technology companies on memory system design challenges.