جست‌وجوی استاد و پژوهشگر

Ulrich Brennerمشاهده پروفایل

پژوهشگر

• Combinatorial Optimization
• VLSI Placement
• Logic Optimization
• +۳ مورد دیگر

Dr. Ulrich Brenner is a researcher at the Research Institute for Discrete Mathematics at the University of Bonn. His work focuses on combinatorial optimization and its applications in VLSI design, particularly in placement and logic optimization algorithms. University of Bonn Research Institute for Discrete Mathematics Research interests: Combinatorial Optimization VLSI Placement Logic Optimization Publications span two decades, with significant contributions in delay optimization , soft rectangle packing , and transportation algorithms . Recent work includes advancements in AND-OR path restructuring (2022) and soft packing ratios (2024). Teaching materials include courses on linear optimization, combinatorics, and C++ programming. He has developed frameworks like BonnPlace and BonnLogic for industrial VLSI design applications.

• VLSI Design
• Computer-Aided Design
• Analog Circuitry
• +۲ مورد دیگر

Faik Başkaya is an Assistant Professor in Electrical and Electronics Engineering at Boğaziçi University. His research focuses on integrated circuit design methodologies spanning analog/digital VLSI systems, CAD tools for circuit optimization, and rapid prototyping techniques. Technical interests include hardware acceleration, low-power circuit design, and efficient implementation of complex electronic systems. He contributes to advancing VLSI education and design automation at Boğaziçi's Electrical Engineering department.

Prabha Sundaravadivelمشاهده پروفایل

استادیار

• Internet of Things (IoT)
• Smart Healthcare
• IoT Architectures
• +۴ مورد دیگر

Dr. Prabha Sundaravadivel is an Assistant Professor in the Department of Electrical Engineering at the University of Texas at Tyler (UT Tyler). She joined UT Tyler in Fall 2018 and holds a Ph.D. in Computer Science and Engineering from the University of North Texas (2018), an M.Tech in VLSI Design from Vellore Institute of Technology (2015), and a B.Tech in Electronics and Communication from SRM Institute of Science and Technology (2011). Her research focuses on IoT-driven smart healthcare systems, low-power VLSI design, and embedded systems for IoT applications. As Director of the Computer Engineering Research Laboratory (CERL), her team explores smart healthcare and smart cities initiatives, leveraging IoT technologies to enhance quality of life. Current projects include UAV-based agricultural monitoring, bio-inspired robotics, and edge-intelligent wearables for health monitoring. Dr. Sundaravadivel is an IEEE member and Faculty Advisor for the IoT Student Club. Her work emphasizes interdisciplinary innovation, integrating machine learning, hardware design, and environmental intelligence into practical solutions. Recent research highlights include autonomous UAV navigation systems, low-power memristor emulators, and FPGA-based intrusion detection for aerial robots. Her teaching philosophy incorporates project-based learning (PBL) to integrate sustainability and entrepreneurial skills into engineering education. Notable educational initiatives include video creation for developing entrepreneurial mindsets and blending entrepreneurship into senior-level courses.

• Computer Science
• Electrical Engineering
• Graphics
• +۴ مورد دیگر

William Kubitz is a distinguished alumnus and former faculty member at the University of Illinois. He earned his BS (1961) and MS (1962) in Physics, followed by a PhD in Electrical Engineering (1968). His research focused on graphics, VLSI, and circuits, contributing to pioneering work in color painting systems combining analog/digital technologies. Kubitz served as Associate Head of the Computer Science Department from 1985, driving critical initiatives such as establishing the department's first PC labs and overseeing the expansion of the DCL building. He played a pivotal role in networking the campus and modernizing curricula, including early online course offerings. Kubitz was instrumental in planning and constructing the Thomas M. Siebel Center for Computer Science, ensuring the facility met the department's evolving needs. Though retired in 2000, he remained actively involved in the Siebel Center's development and operations. Education: Bachelor of Science in Physics (1961) Master of Science in Physics (1962) Doctor of Philosophy in Electrical Engineering (1968) Research Contributions: Kubitz's work emphasized interdisciplinary innovation at the intersection of computer science and electrical engineering. His projects included early graphic systems and VLSI circuit design, reflecting a commitment to advancing both theoretical and applied technologies. His leadership ensured the department remained at the forefront of technological education and infrastructure development. Awards: 2013 Distinguished Alumni Service Award Advising & Infrastructure: While no formal advisees are listed, his administrative roles significantly impacted the department's academic and operational frameworks. He championed facility upgrades and technological integration, exemplified by the Siebel Center's design and implementation. Labs & Teams: Played a key role in establishing foundational computing infrastructure, including early PC labs and the Siebel Center's state-of-the-art facilities.

Ken Sodaمشاهده پروفایل

دانشیار

• Electrical Engineering
• Semiconductor Materials
• VLSI Circuits Design
• +۶ مورد دیگر

Ken Soda is a Part-Time Associate Professor of Engineering at the University of Southern Maine, affiliated with the Department of Engineering and the College of Science, Technology, & Health. Previously, he served for nearly 18 years as an Associate Professor of Electrical Engineering at the United States Air Force Academy, where he developed student design capabilities in VLSI Circuits and contributed to the implementation of the MOSIS IC manufacturing program. He integrated OrCAD/Cadence PSPICE tools into coursework and Senior Design projects, modernized the hardware electronics laboratory, and helped establish the Academy’s Systems Engineering Major. Education: PhD Electrical Engineering, University of Illinois, Urbana-Champaign (1982) MS Electrical Engineering, University of California, Berkeley (1974) BS Electrical Engineering, USAF Academy (1973) Research Interests: Dr. Soda’s work centers on semiconductor materials and processing, compound semiconductor devices, radiation effects on electronic systems, and the design of Application-Specific Integrated Circuits (ASICs). He emphasizes practical applications of engineering principles, including curriculum development that incorporates ethics and systems engineering methodologies. His contributions to microelectronics manufacturing include advancing industry practices through his involvement with SEMATECH. Advising/Grants: While no specific grants or student advisees are listed, Dr. Soda has been a key advisor in curriculum design and laboratory infrastructure at the Air Force Academy. His efforts included fostering student engagement in IC fabrication and ethics integration within engineering education. Labs/Teams: He modernized the hardware electronics laboratory at the Air Force Academy and contributed to the Systems Engineering program’s establishment. In industry, he collaborated with DoD research facilities and SEMATECH to advance semiconductor technologies.

• Reconfigurable Computing
• Design Automation
• Machine Learning
• +۹ مورد دیگر

Professor Christos-Savvas Bouganis serves as Professor of Intelligent Digital Systems and Director of Undergraduate Studies in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. He leads the Intelligent Digital Systems Lab (iDSL) and holds affiliations with the Robotic Additive Manufacturing Lab and Robotics Forum. His academic credentials include: M.Eng in Computer Engineering and Informatics, University of Patras, Greece (1998) MSc in Communications and Signal Processing, Imperial College London (1999) Ph.D., Imperial College London (2004) Bouganis specializes in reconfigurable computing and design automation for digital signal processing algorithms, with current research emphases on Machine Learning, Computer Vision, Image Processing, Markov Chain Monte Carlo Systems, and computing with unreliable hardware. His work bridges theoretical foundations and practical implementations in digital systems, contributing to advancements in artificial intelligence and distributed computing architectures. He actively mentors the next generation of researchers as an academic recruiting PhD students for projects including DESYRE: On-Demand System Reliability. Bouganis maintains significant professional engagement through program committee roles at FCCM, FPL, FPT, DATE, SPPRA, and VLSI-SoC conferences, alongside editorial board positions for ACM TRETS, IET Computers and Digital Techniques, and the Journal of Systems Architecture. His laboratory initiatives focus on intelligent digital systems development within the iDSL ecosystem, fostering collaborations across robotics and additive manufacturing domains through institutional lab affiliations.

Alan H. Barrمشاهده پروفایل

استاد

• Computer Graphics
• Biophysics
• Medical Computing
• +۵ مورد دیگر

Alan H. Barr is a Professor of Computer Science at the California Institute of Technology (Caltech), within the Division of Engineering and Applied Science. He holds a B.S., M.S., and Ph.D. from Rensselaer Polytechnic Institute (1973-1983). His career includes roles as Research Fellow (Caltech, 1984), Assistant Professor (1984-90), Associate Professor (1990-98), and Professor (1998–present). He served as Executive Officer for Computer Science from 2000-2001. Education : B.S., Rensselaer Polytechnic Institute, 1973 M.S., Rensselaer Polytechnic Institute, 1976 Ph.D., Rensselaer Polytechnic Institute, 1983 His research focuses on the mathematical foundations of computer graphics, biophysical modeling, and space mission design. Key interests include predictive simulation methods, computational biophysics, GPU computing, and collaborations with NASA's JPL on the InterPlanetary Superhighway. He has pioneered methods like elastically deformable models and constrained optimization frameworks. Publications highlight advancements in ray tracing, deformable models, and medical imaging. Notable awards include the ACM SIGGRAPH Achievement Award (1988) and ACM Fellow (1995). Awards : ACM SIGGRAPH Achievement Award (1988) ACM Fellow (1995) Barr has advised numerous students whose work spans Pixar, NVIDIA, and academia. He leads the Caltech Computer Graphics Group, collaborating on projects like the Global Virtual Hospital and Goal-Directed MRI.

Paraskevas Kitsosمشاهده پروفایل

استاد

• Hardware Security
• Cryptography
• Machine Learning Acceleration
• +۷ مورد دیگر

Paraskevas (Paris) Kitsos is a Professor in the Department of Electrical and Computer Engineering at the University of Peloponnese. He holds a Physics degree and a PhD in Electrical Engineering and Computer Technology from the University of Patras. His expertise spans hardware security, cryptography, and FPGA/ASIC design. He collaborates with the Industrial Systems Institute of the ATHINA research center and has extensive teaching experience across multiple institutions, including the University of Patras and the Hellenic Open University. Research interests include hardware Trojan detection, cryptographic algorithm implementations, hardware acceleration of machine learning, and VLSI design. He has participated in over 15 European and national research projects, published over 120 articles, and received 1 grant with 1700+ citations. He reviews for prestigious journals and conferences and serves on program committees. His work focuses on secure hardware architectures, embedded systems, and IoT security. He advises on research projects and contributes to academic and industrial collaborations in telecommunications and network technologies.

Sang-Eon Parkمشاهده پروفایل

دانشیار

• Wireless Communication Networks
• Mobility Management
• Energy-Efficient Routing Protocols
• +۷ مورد دیگر

Dr. Sang-Eon Park is an Associate Professor in the Department of Computer Science at Salisbury University, affiliated with the Richard A. Henson School of Science & Technology. His research focuses on wireless communication networks, mobility management, energy-efficient protocols, and wireless sensor networks. He holds a Ph.D. and M.S. in Computer Science from the University of Cincinnati and a B.S. in Mechanical Engineering from Hanyang University. His work explores topics like 3G/4G network protocols, RFID, and algorithm development for mobile systems. He teaches courses such as Computer Science II (COSC220), System Software (COSC350), and Operating Systems (COSC450). His publications span conferences like PDPTA and IEEE events, addressing energy-aware routing, collaborative filtering, and TCP performance evaluation. Research interests include mobility management techniques, security in wireless networks, and handoff management. He collaborates with academic groups on wireless research projects and maintains active links to industry standards. Office hours for Fall 2025 are Tuesdays and Thursdays 9:30 AM–11:00 AM and Wednesday 2:00 PM–3:30 PM in Conway Hall (TE 205).

• Technology Foresight
• Sustainability and Sustainable Development
• Converging Technologies (Nanotechnology, Biotechnology, IT, Cognitive Science)
• +۳ مورد دیگر

Denis Loveridge is an Honorary Visiting Professor at the University of Manchester, affiliated with the Alliance Manchester Business School and the Manchester Institute of Innovation Research (MIoIR). He holds qualifications including CEng, FEI, MPhil, and BSc. With over 44 years of industry experience, he transitioned into academia in 1991, contributing to UK and EU Technology Foresight programmes. His work focuses on grand challenges, technology foresight, sustainability, and converging technologies. Education includes degrees in engineering and science. His research explores complex societal challenges through interdisciplinary lenses, emphasizing innovation strategies and sustainable development. He advises governments and organizations globally on foresight methodologies and scenario planning. Research outputs highlight contributions to strategic innovation frameworks, R&D in uncertain environments, and sustainable business models. His work aligns with UN Sustainable Development Goals, particularly in knowledge transfer and environmental impact. Denis has pioneered courses on foresight and led collaborative projects in air pollution reduction and corporate venturing. He founded ventures like the West Lancashire Enterprise Trust and contributed to VLSI design advancements.

Zhiyuan Yanمشاهده پروفایل

استاد

• Coding Theory
• Wireless Communications
• VLSI Design
• +۴ مورد دیگر

Zhiyuan Yan is a Professor and Associate Chair in the Department of Electrical and Computer Engineering at Lehigh University. He holds a B.E. from Tsinghua University and M.S./Ph.D. degrees from the University of Illinois at Urbana-Champaign. His research focuses on coding theory, VLSI design, wireless communications, and embedded systems. He is a Senior Member of the IEEE and received the NSF CAREER Award in 2011. Educational Background: B.E., Electrical Engineering, Tsinghua University M.S., Electrical Engineering, University of Illinois at Urbana-Champaign Ph.D., Electrical Engineering, University of Illinois at Urbana-Champaign Research Interests: His work spans coding theory (including polar codes and LDPC codes), VLSI implementations for communication systems, and cybersecurity through physical unclonable functions (PUF). He explores neuromorphic computing, memristive neural networks, and hardware-efficient error correction techniques. His contributions include efficient decoder architectures and distributed storage solutions. Scientific Awards: 2011: NSF CAREER Award Advising & Grants: While specific student names aren't listed, his research has been supported by multiple grants. His lab focuses on collaborative projects between academia and industry, emphasizing practical implementations of theoretical advancements. Lab & Teams: His research team develops cutting-edge VLSI systems, neural network accelerators, and secure communication protocols. Collaborations include work on memristive hardware and neuromorphic computing architectures.

Ali Manzakمشاهده پروفایل

عضو هیئت علمی

• Low Power VLSI Design
• Embedded Systems
• Mixed-Signal IC Design
• +۳ مورد دیگر

Ali Manzak is an Assistant Teaching Professor in the Department of Electrical and Computer Engineering at Florida State University (FSU). He holds a M.Sc. in Control Systems from the University of Colorado Boulder and a Ph.D. in VLSI Systems from Arizona State University. Prior to academia, he worked as a digital IC design engineer at Lattice Semiconductor in California. His research focuses on low-power VLSI design, embedded systems, mixed-signal IC design, and hardware implementation of machine learning algorithms. He actively contributes to academia through teaching and lab supervision, designing ICs for both educational and research purposes. Education: Ph.D., Electrical Engineering (VLSI Systems), Arizona State University M.Sc., Electrical Engineering (Control Systems), University of Colorado Boulder Research Interests: Dr. Manzak’s work emphasizes energy-efficient VLSI circuits, emerging nanotechnologies like carbon nanotube FETs, and applying machine learning to hardware systems. His publications span IEEE journals and conferences, addressing topics such as power-aware cache design, low-power latch optimization, and AI-driven solutions for electromagnetic problems. Teaching & Labs: He instructs courses like EEL 3705/L, EEL 3927, and EEL 4742/L, and maintains hands-on IC design experience across multiple platforms. His labs integrate industry practices with academic research, fostering practical engineering skills.

• Embedded Systems
• IoT Security
• Digital System Design
• +۳ مورد دیگر

Paulino Ruiz de Clavijo Vázquez is a Professor in the Department of Electronic Technology at the University of Seville. His primary research focuses on embedded systems, IoT security, digital system design, FPGA implementation, and hardware security. He leads and collaborates on numerous research projects, including advanced IoT boot systems, secure embedded communication, and high-precision timing synchronization for IoT devices. Key projects include the IRIS secure boot framework for IoT and the E-LUKS hardware encryption solution. His work spans both theoretical contributions (e.g., novel trigonometric computation algorithms) and applied hardware-software co-design (e.g., NanoFS file system). He has advised doctoral theses such as 'LILA: Low-level IoT Lightweight Applications.' His research also involves FPGA-based systems for real-time applications, including time servers and FFT modules. Projects like HAVOC (hardware audio codec) and HardTIME (high-precision timing) highlight his focus on practical hardware implementations. He has contributed to over 50 peer-reviewed publications, conference presentations, and patents related to embedded systems, digital circuit design, and IoT security solutions.

• High-performance computing
• Decimal arithmetic
• Parallel programming
• +۴ مورد دیگر

Alvaro Vazquez Alvarez is an Assistant Professor at the Higher Technical School of Engineering, University of Santiago de Compostela. He holds a PhD in Computer Engineering (2009) from the same institution, focusing on High-performance decimal floating point units under the supervision of Dr. Elisardo Antelo Suárez. His research interests span high-performance computing, decimal arithmetic hardware design, parallel programming models, and LiDAR data processing. His work emphasizes FPGA implementation of arithmetic units, numerical algorithms optimization, and compiler/runtime systems for parallel environments. He leads the CograDe Research Group (Computer Graphics and Data Engineering), exploring advanced topics in parallel computing and data engineering applications. Key contributions include universal MPI binding frameworks for new languages and efficient LiDAR point cloud processing algorithms. Notable technical expertise includes: digit-by-digit algorithms, redundant number systems, CORDIC-based computations, and multi-operand decimal arithmetic implementations. His publications bridge theoretical numerical methods with practical hardware/software co-design solutions. Current research focuses on extending parallel programming interfaces, improving decimal arithmetic precision in modern architectures, and applying advanced geometric processing techniques to 3D data challenges.

• Computer Science
• Electrical Engineering
• Computer Architecture
• +۳ مورد دیگر

Oliver M. Vojinović serves as an Assistant Professor in the Department of Electrical Engineering and Computing at the Faculty of Electronic Engineering, University of Niš. Appointed to his current academic rank in 2017 after serving as an assistant trainee since 2001, he maintains active roles in teaching and research within Serbia's academic framework. His educational foundation includes a Bachelor's degree (2000) and Master's degree (2008), both in Electrical Engineering and Computer Science from the Faculty of Electronic Engineering. These qualifications established his technical expertise in computing systems and electrical engineering disciplines. Dr. Vojinović's research spans Computer Science, Electrical Engineering, and Education Technology, with concentrated efforts in Computer Architecture simulation tools and optimized Signal Processing implementations. His work bridges theoretical computing concepts with practical engineering applications, particularly through development of educational simulation environments like SimArch for computer architecture instruction. Analysis of his publication history reveals consistent contributions to folded FIR filter architectures and computer science education methodologies. The trajectory shows evolving focus from hardware implementation (2002-2004) toward pedagogical applications of computing (2005-2007), demonstrating interdisciplinary integration of engineering principles with educational innovation. Currently engaged in one national and one international research project, he contributes to academic advancement through project-based learning initiatives and TEMPUS mobility programs. His institutional involvement includes participation in faculty quality assurance frameworks and continuous education programs at the University of Niš.