Computer-aided Design of VLSI Systems Professors and Supervisors

Elena Hadzievaمشاهده پروفایل

استاد

University for Information Science and Technology St. Paul the ApostleMacedonia

Elena Hadzieva, PhD, is a Full Professor and currently serves as Dean of the Faculty of Information Systems, Visualization, Multimedia and Animation at the University of Information Science and Technology ‘St. Paul the Apostle’ in Ohrid, North Macedonia. She holds a PhD in Mathematics from the University ‘Ss. Cyril and Methodius’ (Skopje) with a thesis on Iterated Function Systems. Her academic journey includes roles from Assistant Professor (2004) to Associate Professor (2015) before attaining Full Professor status in 2020. Education: PhD in Mathematics (2009), University ‘Ss. Cyril and Methodius’, Skopje MSc in Mathematics (2004), University ‘Ss. Cyril and Methodius’, Skopje BSc in Mathematics (1999), University ‘Ss. Cyril and Methodius’, Skopje Research focuses on Fractal Geometry, Dynamical Systems, and Educational Mathematics, with contributions to software applications for fractal modeling and interdisciplinary STEM education. Recent work addresses medical imaging challenges, pandemic-era online teaching, and analog circuit design. Her articles reflect multidisciplinary engagement: combining fractal analysis with medical diagnostics (e.g., melanoma detection), developing educational tools for 3D fractals, and analyzing pandemic-era pedagogical innovations. She also contributes to electrical engineering through low-power amplifier designs and fault-tolerant systems. Professional roles include Membership in the American Mathematical Society (AMS), Macedonian Mathematical Society, and leadership in CEEPUS networks (e.g., Active Methods in Teaching Mathematics). She serves as National Contact Point for SEFI’s Mathematics Working Group and Editor of the journal Numerus. Her administrative leadership includes coordinating national STEM education initiatives and managing interdisciplinary academic programs. She has pioneered software tools for fractal visualization and contributed to defense technology via IR imaging research.

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Faik Başkayaمشاهده پروفایل

استادیار

Boğaziçi UniversityTurkey

Faik Başkaya is an Assistant Professor in the Department of Electrical Engineering at Bogazici University. He is a full-time faculty member affiliated with the Faculty of Engineering. His research focuses on CAD tools, analog/digital VLSI design methodologies, and rapid prototyping techniques. His work bridges theoretical electrical engineering principles with practical microelectronic system implementation. Research interests emphasize: Computer-Aided Design (CAD) frameworks for VLSI systems Analog/digital mixed-signal integrated circuit design Accelerated prototyping workflows for electronics No specific academic awards or recent publications were explicitly listed in the provided information. His professional activities appear centered around core engineering design and implementation challenges in the semiconductor field.

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Marios Pattichisمشاهده پروفایل

استاد

University of New MexicoUnited States

Marios Pattichis is a Professor of Electrical and Computer Engineering at the University of New Mexico (UNM), serving as Director of Online Programs since 1999. He leads the Image and Video Processing and Communications Lab (ivPCL) and co-founded Cosmiac. His work focuses on biomedical image analysis, video analytics for clinical decision support, and educational technology initiatives like the AOLME project targeting underrepresented middle-school students. Pattichis holds 10 patents, over 80 journal papers, and $15.9M in research funding from NSF, NIH, and AFRL. Education: Ph.D. and M.S. in Computer/Electrical Engineering from UT Austin (1998, 1993), with dual B.A./B.Sc. in Mathematics and Computer Sciences (1991). Research Interests: Biomedical CAD systems, explainable AI in imaging, dynamically reconfigurable architectures, and bilingual STEM education. His lab develops tools for stroke risk assessment via carotid ultrasound, solar coronal hole segmentation, and classroom activity analysis to measure student participation. Awards: 2022 EAMBES Fellow for contributions to biomedical image analysis. Editorships include IEEE Transactions on Image Processing and IEEE Signal Processing Letters. Grants & Teams: Directed over $15.9M in grants, advised numerous students (though none listed explicitly), and collaborates with educators on AOLME's integrated math/CS curricula. Active in codec comparisons for healthcare video streaming (VVC vs. AV1) and FPGA-based image processing acceleration. Labs/Initiatives: ivPCL (medical imaging/video systems); DRASTIC (adaptive video processing); ESTRELLA (bilingual STEM outreach). Involved in IEEE journal special issues on video analytics and multilingual education.

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Saraju P. Mohantyمشاهده پروفایل

استاد

University of North TexasUnited States

Dr. Saraju P. Mohanty is a Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT), where he leads the Smart Electronic Systems Laboratory (SESL). He holds honorary and adjunct positions at IIIT-Naya Raipur, MNIT Jaipur, and Oriental University, Indore, in India. Education: Ph.D. in Computer Science and Engineering, University of South Florida (USF), 2003 Masters in Systems Science and Automation (AI), Indian Institute of Science (IISc), 1999 B.E. in Electrical Engineering (Honors), College of Engineering and Technology, Bhubaneswar (OUAT), 1995 Dr. Mohanty's research is centered on Smart Electronic Systems, with a strong focus on IoT, VLSI, hardware security, and healthcare applications. His work integrates machine learning, embedded systems, and nanoelectronics to develop secure and efficient solutions for smart cities, agriculture, and medical devices. He has authored over 550 peer-reviewed publications and five books, including a PROSE Award-winning textbook. His recent publications reflect a growing emphasis on AI-driven solutions for synthetic media detection, smart farming, driver monitoring, and personalized health. These works demonstrate a trend toward intelligent, edge-based systems that leverage sensor data and lightweight AI for real-time decision-making. Scientific Awards and Honors: Fulbright Specialist Award (2021) IEEE Consumer Electronics Society Outstanding Service Award (2020) IEEE-CS-TCVLSI Distinguished Leadership Award (2018) PROSE Award for Best Textbook (2016) Top 2% Scientist globally (PLOS Biology, 2019–2022) Multiple Best Paper and Best Poster Awards UNT Toulouse Scholars Award (2016–2017) President’s Scout Award, India (1988) Dr. Mohanty has supervised 3 postdocs, 18 Ph.D. students, 29 M.S. theses, and over 40 undergraduate research projects. Eleven of his advisees have received outstanding student awards. He has received multiple UNT Provost’s Thank a Teacher and Honors Day recognitions. His research has been funded by NSF, SRC, US Air Force, NIDILRR, and Mission Innovation. He has held key editorial roles, including Editor-in-Chief of IEEE Consumer Electronics Magazine and founding EiC of IEEE VLSI Circuits and Systems Letter. He is actively involved in IEEE leadership and conference organization, serving on steering committees for IEEE-iSES, ISVLSI, and OCIT. Laboratories and Teams: He directs the Smart Electronic Systems Laboratory (SESL) at UNT, which focuses on cutting-edge research in IoT, edge computing, hardware security, and smart healthcare. The lab fosters interdisciplinary collaboration and has produced numerous award-winning student projects and publications.

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Harpreet Singhمشاهده پروفایل

استاد

Wayne State UniversityUnited States

Harpreet Singh is a Professor in the Department of Electrical and Computer Engineering at Wayne State University (WSU), appointed in 1981 with tenure awarded in 1986 and promoted to Full Professor in 1984. He previously held academic appointments at the University of Roorkee from 1963 to 1981, including roles as Lecturer, Reader, Associate Professor, and Professor. Education: High School (1957), Baccalaureate (Thapar Institute, 1963), M.E. and Ph.D. (University of Roorkee, 1966 and 1971). His research focuses on Software Engineering Intelligent Systems Neural Networks VLSI Design Fuzzy Logic Robotics Image Compression Computer Architecture Sensor Fusion . He has led numerous funded projects, including "Fuzzy Logic Approach to Sensor Fusion" (2002–2004) "Neural Networks for Image Compression" (1990s) "Development of Software for Automotive Quality Control" (1993) with sponsors like General Dynamics, Ford Motor Company, and Battelle. His recent work trends involve Neuro Fuzzy Systems for 3D Visualization Wavelet Transforms in Infrared Imaging Fuzzy Logic Applications in Target Detection Parallel Processing in Hypercube Networks . Scientific awards include Khosla Research Award (1970) Khosla Medal (1979) Distinguished Alumni Award by India's President (1983) . He has taught courses such as ECE5960 - Introduction to VLSI Systems ECE5680 - Computer-Aided Logical Design ECE7530 - Advanced Digital VLSI Design ECE9997 - Doctoral Seminar across Fall 2023 to Winter 2025 terms.

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Scott Koziolمشاهده پروفایل

دانشیار

Baylor UniversityUnited States

Dr. Scott Koziol is an Associate Professor and Associate Chair in the Department of Electrical & Computer Engineering at Baylor University, College of Engineering. He is actively leading research and teaching in robotics, embedded systems, and neuromorphic engineering. PhD in Robotics, Georgia Institute of Technology (2013) MS in Mechanical Engineering, Georgia Institute of Technology (2011) MS in Electrical Engineering, Iowa State University (2000) BS in Electrical Engineering, Cedarville University (1998) His research focuses on robotics, neuromorphic engineering, embedded systems, and analog/digital signal processing . He develops bio-inspired algorithms for autonomous navigation and implements them using reconfigurable analog VLSI and Field Programmable Analog Arrays (FPAA). His work integrates machine learning with stochastic computing and explores event-based vision, quantum random number generation, and assistive technologies such as The Reminding Walker device. His recent publications span topics including autonomous path planning, millimeter-wave radar for biomechanics, stochastic neural networks, and quantum workforce development. These works appear in journals like IEEE Access , Entropy , and Quantum Science and Technology , reflecting a multidisciplinary approach that bridges robotics, computing, and biomedical applications. Best Live Demo Award, ISCAS 2010 Outstanding Poster Presentation Award, URSA Scholars Week 2016 Dr. Koziol advises numerous graduate and undergraduate students, including thesis authors in robotics and neuromorphic computing. His research is supported by sponsors such as DARPA, ONR, DOE, and Baylor’s internal programs. He leads the Neuromorphic & Robotic Systems Lab located at the Baylor Research and Innovation Collaborative (BRIC), where his team conducts cutting-edge work in hardware-based neural computation and autonomous systems.

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Carlo H. Séquinمشاهده پروفایل

استاد

University of California, BerkeleyUnited States

Carlo H. Séquin is a Professor of Computer Science in the EECS Department at the University of California, Berkeley. He is affiliated with the Graphics (GR) and Human-Computer Interaction (HCI) research areas, and associated with the Berkeley Center for New Media (BCNM), Berkeley Institute of Design (BID), CITRIS, and the Visual Computing Lab (VCL). His research focuses on geometric modeling, artistic geometry, mathematical visualizations, and CAD tools. Education: Ph.D. in Experimental Physics (1969), University of Basel, Switzerland. Past Roles: Head of Computer Science Division (1980–1983), co-inventor of RISC architecture with David Patterson. His work spans computer graphics, VLSI design, and the intersection of art and mathematics. He has pioneered functional optimization for surface design and contributed to CCD technology at Bell Labs. Séquin's awards include the Berkeley Citation (2016), ACM Fellow (1997), and teaching excellence awards. He advises students in Ph.D. and M.S. programs, as seen in his Ph.D. alumni list . His research is supported through CITRIS and other institutional collaborations. Séquin's artistic projects, such as mathematical sculptures and architectural designs, bridge engineering and art, exemplified by his work on the Pillar of Engineering and Twisted Tori .

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Jordi Cortadella Fortunyمشاهده پروفایل

استاد

Polytechnic University of CataloniaSpain

Jordi Cortadella Fortuny serves as a Full Professor in the Department of Computer Science at the Faculty of Informatics of Barcelona (FIB), Polytechnic University of Catalonia (UPC), where he has maintained continuous academic service since 1985. He currently chairs the UPC Ethics Committee (2021-2025) and leads research within the ALBCOM group specializing in algorithms, bioinformatics, complexity, and formal methods. Education: M.S. in Computer Science, Universitat Politècnica de Catalunya, 1985 Ph.D. in Computer Science, Universitat Politècnica de Catalunya, 1987 Research Interests: Professor Cortadella's pioneering work centers on Electronic Design Automation (EDA) with deep specialization in asynchronous circuit design and concurrent systems . His research integrates formal methods and mathematical optimization to solve complex VLSI design challenges, particularly in logic synthesis and computer arithmetic. This interdisciplinary approach bridges theoretical computer science with practical semiconductor engineering, yielding significant industry impact through patented methodologies and industrial collaborations. Scientific Awards: Fellow of the IEEE (2015) Member of Academia Europaea (2013) Distinction for University Research Promotion by Catalan Government (2003) Five-time Best Paper Award recipient at premier conferences (2004-2020) Descartes Prize Finalist (2002) UPC Best Ph.D. Thesis Award (1992) National Computer Science Student Award (1986) Advising and Service: Cortadella has mentored numerous graduate students while serving on editorial boards for IEEE Transactions on CAD and SN Computer Science. His extensive service includes technical committee leadership at major international conferences and co-founding Elastix Corp. as Chief Scientist (2007-2010), where he directed Barcelona-based R&D for semiconductor verification tools. Research Infrastructure: As core member of the ALBCOM research group, he directs projects in algorithmic foundations of EDA, maintaining strong industry partnerships with Intel and semiconductor design firms through UPC's CITCEA laboratory facilities.

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Graziano Vernizziمشاهده پروفایل

استاد

Albany Medical CollegeUnited States

Graziano Vernizzi serves as Professor in the Department of Physics and Astronomy at Siena University (formerly Siena College) since 2016, having previously held Associate Professor (2013-2016) and Assistant Professor (2010-2013) positions at the same institution. His academic journey includes a Research Professor role at Northwestern University (2006-2010) and prestigious postdoctoral appointments at the Niels Bohr Institute, University of Oxford, CEA/Saclay, Spinoza Institute, and Northwestern University. His educational background includes: B.S. in Physics, University of Parma, Italy (1995) Ph.D. in Physics, University of Parma, Italy (2000) Vernizzi's research integrates computational and theoretical physics to address nanoscale phenomena, with core interests in Random Matrix Theory, biophysics (RNA/ssDNA structures and membrane theory), soft condensed matter physics, and nanoscale science. He develops computational models to analyze complex systems where theoretical frameworks are essential for interpreting experimental data, driving technological innovation and expanding career opportunities in emerging scientific fields. His methodology frequently bridges mathematical rigor with physical applications across disciplinary boundaries. Analysis of his publication trends reveals consistent interdisciplinary work connecting mathematics, physics, and engineering. Key recurring themes include topological constraints in biological and electronic systems, statistical mechanics approaches to soft matter, and algorithmic innovations for verification problems. His research demonstrates particular strength in applying abstract mathematical concepts like random matrix theory to concrete biophysical and engineering challenges, resulting in publications spanning Physical Review journals, Soft Matter, and specialized engineering conferences. His scientific recognition includes: Trust-Co Excellence Honor for advancing the mission of Siena College (Trustco Bank, 2015) No information regarding student advising, research grants, or dedicated laboratory facilities was provided in the source material. His professional activities focus on computational research, course development in nanoscale physics, and interdisciplinary collaboration without mention of specific research teams or experimental facilities.

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