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Jürgen OehmView profile

Professor

• Analog Integrated Circuits
• Computer-aided Design
• Integrated Circuit Technology
• +4 more

Prof. Dr.-Ing. Jürgen Oehm is a Professor and Head of the Circuit Technology Department at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum. His academic journey includes a doctorate in 'Computer-aided, yield-oriented design of analog VLSI components' from the University of Dortmund, followed by habilitation in 2001 with a focus on 'Computer-aided design for integrated circuits.' Before joining Ruhr University in 2003, he worked as a Senior Staff Engineer at Infineon Technologies AG, specializing in RF ICs for DECT/Bluetooth/WLAN transceivers. His research focuses on integration-friendly circuit technologies, analog circuit design techniques, and statistical laws in monolithic integration. He leads the Analog Integrated Circuits (AIS) group, collaborating on projects like KI-ROJAL and PluTO+. His work bridges academic and industrial applications, with contributions to high-frequency sensors and integrated systems. Prof. Oehm teaches courses on analog integrated circuits and supervises academic programs in ETIT and Lasers & Photonics. His lab, part of the Faculty's infrastructure, emphasizes cutting-edge research in electronics and microsystem technologies.

Rajesh KediaView profile

Assistant Professor

• Computer Architecture
• Embedded Systems
• VLSI Design Automation
• +6 more

Rajesh Kedia is an Assistant Professor in the Department of Computer Science & Engineering at Indian Institute of Technology Hyderabad . He received his Ph.D. from IIT Delhi under the supervision of Prof. M. Balakrishnan and Prof. Kolin Paul, and holds a B.Tech. in Electronics and Communication Engineering from MNIT Jaipur (2006). His research focuses on computer architecture , embedded systems , and VLSI design automation , with specific emphasis on thermal management of processors and memories , shared resource management , and FPGA-based accelerator design . His recent publications address CNN execution time prediction, thermal modeling for 3D systems, and efficient resource allocation in multi-accelerator environments. Rajesh has received multiple scientific awards including the Visvesvaraya Ph.D. fellowship , IEEE Senior Member designation, and a BEST PAPER NOMINATION at DATE 2022 . He has mentored several Ph.D. and M.Tech students, including Lakshay Arora , Venugopal Ramamurthy , and M A Muneeb , with research topics spanning compilers, thermal management, and RISC-V architecture. He actively contributes to the academic community as a reviewer for leading conferences/journals (ASPDAC, DAC, IEEE ESL, CODES+ISSS) and previously served as Design Contest co-chair for ISLPED 2024 . His work has been supported by a SERB startup research grant (INR 20.26L) for shared resource management research.

Maria DrakakiView profile

Professor

• Humanitarian Engineering
• Artificial Intelligence for Disaster Management
• Humanitarian Logistics
• +4 more

Maria Drakaki is Professor of Humanistic Engineering and Dean of the School of Science and Technology at the International Hellenic University. She also serves as Director of the Institute for Refugee Flows and Crisis Management of the University of Macedonia, and leads multiple postgraduate programs including the MSc in Environmental Management and Sustainability and the MSc in Humanitarian Logistics and Crisis Management. Dr. Drakaki earned her Ph.D. in Physics from the University of Texas at Austin (1992), an M.Sc. in VLSI System Design from the University of Westminster (2004), and a B.A. in Physics from the Aristotle University of Thessaloniki (1986). Her academic career progressed from research positions at the Aristotle University of Thessaloniki to faculty roles at various Greek institutions before her current position. Her research focuses on humanitarian engineering, AI methods for disaster management, humanitarian logistics, decision support systems, and supply chain management. She has pioneered approaches that combine advanced computational techniques with humanitarian applications, particularly in crisis response and management. Her work bridges the gap between traditional engineering disciplines and humanitarian practice. Analysis of her recent publications reveals a strong trend toward applying artificial intelligence, particularly machine learning and natural language processing techniques, to humanitarian challenges. Her research spans disaster response, migration management, supply chain resilience during crises, and community-based partnerships for resilience building. She has increasingly focused on social media analysis for disaster management and the application of transformer models for consequence identification from accident narratives. Fulbright Scholar Best paper award at the International Conference on Information Systems Architecture and Technology (2017) Humanitarian Engineering Lectureship award from UT Austin (2024) Dr. Drakaki supervises 4 PhD candidates and has participated in numerous European research projects including the European Qualifications – Refugees and Recognition 4 (EQUAL), Transforming Graduate Education for Green and Sustainable Future (T-Green), and the Humanitarian Engineering project with UT Austin. She serves on editorial boards including as Associate Editor for the Data Analytics for Social Impact Section of Frontiers in Big Data. She directs the Institute for Refugee Flows and Crisis Management and has established strong research collaborations across Europe.

John EmmertView profile

Professor

• Hardware Security
• Trusted Computing
• VLSI Design
• +11 more

Dr. John Emmert serves as Professor in the Department of Electrical Engineering and Computer Science at the University of Cincinnati and Director of the NSF Center for Hardware and Embedded Systems Security and Trust (CHEST) IUCRC. He has secured over $9 million in research funding from the Air Force, Army, Navy, DARPA, NSF, Ohio State, and industry partners, including five Phase II DoD SBIR contracts. His educational background includes: Ph.D. in Computer Engineering, University of Cincinnati (1999) M.S. in Electrical Engineering, Air Force Institute of Technology (1993) B.S. in Electrical Engineering, University of Kentucky (1987) His research focuses on hardware security assurance, trusted computing, and embedded systems design with expertise spanning VLSI, FPGA/ASIC development, fault tolerance, electronic warfare countermeasures, and GPS integration. Current work emphasizes automated design tools for secure hardware and reconfigurable computing architectures. Notable recognitions include: IEEE Harold Nobel Award AFRL James B. Tsui Award for best patent Air Force Legion of Merit Five Meritorious Service Medals As a 26-year Air Force veteran (1989-2015) retiring as Colonel, he leverages military experience in electronic warfare and UAV systems to inform hardware security research. His CHEST center directs collaborative projects with Raytheon, Northrop Grumman, Amazon, and federal agencies through active grants totaling millions in annual funding, maintaining strong industry-academia partnerships in microelectronics assurance.

• Electronics Education
• Computer Simulation
• Digital Circuits
• +2 more

Julio Ricardo Garcia is a Professor in the Technology department at San José State University. With a PhD from the University of Northern Iowa (1988), he has established expertise in electronics education, industrial technology, and computer simulation applications. His work bridges theoretical concepts with practical industrial applications. Education: Doctor of Philosophy, University of Northern Iowa (1988) Research Focus: Investigates innovative approaches to technology education, particularly in electronics and digital systems. His scholarship emphasizes practical laboratory methodologies, distance learning frameworks, and curriculum development for industrial technology programs. Research extends to computer simulation applications in physics and electronics education. Publications Focus: Garcia's extensive publication record centers on educational methodologies in technology fields. Recent works demonstrate consistent focus on circuit design pedagogy, simulation tools, and international technology education. Articles frequently address practical implementation challenges in academic and industrial training contexts. Professional Service: Contributed as a translator (English/Spanish) for electronics communications and quality control documentation (2004).

Leong Hon WaiView profile

Associate Professor

• Algorithms & Theory
• Computational Biology
• Bioinformatics
• +3 more

Leong Hon Wai is an Associate Professor at the National University of Singapore (NUS) in the Department of Computer Science under the School of Computing . He also participates in the University Scholars Programme (USP). With a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign and a B.Sc. in Mathematics (1st Class Honours) from the University of Malaya , Prof. Leong has been a cornerstone of NUS since 1987, previously serving as Division Head for Computer Science and Assistant Dean for Special Programmes . His work bridges computational theory with practical applications in bioinformatics , transportation logistics , and VLSI CAD . Education: B.Sc. in Mathematics, University of Malaya (1st Class Honours) Ph.D. in Computer Science, University of Illinois at Urbana-Champaign Research Interests span the design of efficient algorithms across diverse domains. Key areas include: Bioinformatics : Algorithmic solutions for genomic island detection, protein function prediction, and genome sorting. VLSI CAD : Applied research in computer-aided design for integrated circuits. Logistics : Algorithms for resource allocation, scheduling, and dynamic route planning. Computational Thinking : Pedagogical approaches to simplify complex concepts for non-computer science audiences. His publications reflect interdisciplinary collaboration, particularly at the intersection of algorithm design and biological systems , with a focus on problems like protein function prediction and genome rearrangement . The scientific community has recognized his contributions through fellowships and teaching awards , including the Annual Teaching Excellence Award and Inspiring Mentor Award from NUS. Awards & Honors : Fellow, Singapore Computer Society (2009) NUS Annual Teaching Excellence Award (2009) Inspiring Mentor Award (NUS, 2009) USP Teaching Award (2008) Best Paper Award (APCCAS-1992) Best Presentation Award (ICCD-1985) Excellent Instructor (UIUC, Spring 1985) Teaching & Outreach initiatives include founding Singapore’s Special Programme in DISCS , pioneering NUS’s modular curriculum aligned with ACM standards, and leading the National Olympiad in Informatics (NOI) since 1998. He also co-organizes the annual 24-hour Code::XtremeApps (CXA) competition, engaging primary school students through platforms like Scratch and micro-bit . His passion for computational thinking extends to the course GET1031 for non-majors and outreach programs in K-12 education. Professional Service includes leadership roles in the Singapore Computer Society (SCS), organizing conferences like SEARCC'99 , and serving on the SCS Executive Committee (1994–2007). He is a member of prestigious societies: ACM , IEEE , and ISCB .

Janet Meiling RovedaView profile

Professor

• VLSI System Design
• Biomedical Engineering
• Smart Grid
• +8 more

Janet Meiling Roveda is a Professor in the Department of Electrical and Computer Engineering at the University of Arizona's College of Engineering. She holds additional professorial appointments in Biomedical Engineering, the BIO5 Institute, and Nursing, and is a Member of the Graduate Faculty. She serves as Director of the Center to Stream Healthcare In Place. Educational Background: PhD in Electrical Engineering and Computer Sciences, University of California, Berkeley, 2000 MS in Electrical Engineering and Computer Sciences, University of California, Berkeley, 1997 BS in Computer Science, Nanjing Institute of Science and Technology, China, 1991 Her research spans interdisciplinary domains including VLSI systems for biomedical applications , smart grid and smart home technologies , reliable circuits , and emerging fields such as DNA computing and synthetic biology . She also contributes to multicore design and data-centric systems, with a strong emphasis on robust and efficient hardware solutions. Her teaching focuses on digital and analog circuit design and VLSI CAD. While no individual journal articles are listed in the provided text, her significant publication includes the textbook Chebyshev Expansion Based Interconnect Modeling: Signal Propagation on Interconnect (2000), reflecting her foundational work in interconnect modeling and circuit design. She leads the Center to Stream Healthcare In Place , indicating active involvement in healthcare technology innovation. No scientific awards or student advisees are mentioned in the source material. Dr. Roveda advises graduate students as a member of the Graduate Faculty and contributes to interdisciplinary research teams through her roles in BIO5 and the healthcare center. Her work bridges engineering, biology, and clinical applications, particularly through collaborations with nursing and biomedical engineering. Laboratories and Research Teams: She directs the Center to Stream Healthcare In Place , an interdisciplinary research initiative focused on enabling healthcare delivery in non-clinical environments through advanced engineering systems.

• Hardware Intelligence
• Biomedical Applications
• Machine Learning
• +3 more

Dr. Yiyu Shi is a Professor in the Department of Computer Science and Engineering at the University of Notre Dame. He serves as the site director of the National Science Foundation I/UCRC Alternative and Sustainable Intelligent Computing and directs the Sustainable Computing Lab (SCL). Additionally, he is a visiting scientist at Boston Children’s Hospital, affiliated with Harvard Medical School. Education : B.S. in Electronic Engineering from Tsinghua University (2005), M.S. and Ph.D. in Electrical Engineering from UCLA (2007, 2009). His research focuses on hardware intelligence and biomedical applications , with specific interests in machine learning, quantum computing, and edge computing. He has developed hardware/software co-design frameworks for DNN workflows, TinyML, and quantum advantage exploration. Dr. Shi has received numerous accolades, including the IEEE Computer Society Mid-Career Research Achievement Award , NSF CAREER Award , and the Donald O Pederson Best Paper Award from IEEE Transactions on Computer-Aided Design. Other honors include IBM Invention Achievement Award, Humboldt Research Fellowship, and IEEE St. Louis Section Outstanding Educator Award. He actively contributes to academic service as Deputy Editor-in-Chief of the IEEE VLSI CAS Newsletter, Associate Editor for IEEE and ACM journals, and former Education Chair of ACM SIGDA (2018–2021). He is also an IEEE CEDA Distinguished Lecturer and ACM Distinguished Speaker.

Heike Ripphausen-LipaView profile

Professor

• Graph Algorithms
• Optimization Algorithms
• Combinatorial Methods
• +4 more

Prof. Dr. Heike Ripphausen-Lipa is a Professor at the Department of Computer Science and Media at Berliner Hochschule für Technik (BHT Berlin). Her career spans academic and industry roles, including a software developer position at Lufthansa Systems GmbH (1994–2001) and teaching/leadership roles at Technical University Berlin (2001–2017), where she served as Dean of her department (2011–2016). She received the Teaching Award 2011–2016 for her contributions to education. Education: Computer Science at RWTH Aachen University (1989), Doctorate in Mathematics at TU Berlin (1994) on efficient algorithms for planar graphs. Research interests focus on graph algorithms (especially planar graphs), optimization in resource allocation (e.g., minimizing material consumption or delivery time), and combinatorial methods in VLSI design . She also emphasizes algorithm visualization to aid student understanding and heuristics development for practical optimization problems. Scientific awards include the Teaching Award 2011–2016 She supervises final theses related to algorithm visualization (e.g., Java/C++ libraries for visualizing graph algorithms) and optimization heuristics for real-world resource management. Her publications span theoretical algorithm design (1993–1997), industry-academia collaboration (2017), and internationally networked teaching models (2017).

• VLSI Design
• Computer-Aided Design
• Analog Circuitry
• +2 more

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.

Vivek SarinView profile

Associate Professor

• Numerical Algorithms
• Parallel Computing
• Computational Science
• +3 more

Vivek Sarin is an Associate Professor in the Department of Computer Science at Texas A&M University. His research focuses on numerical algorithms, parallel computing, computational science, and data mining. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (1997), an M.S. from the University of Minnesota (1993), and a B.Tech. from the Indian Institute of Technology Delhi (1990). Research Interests: Numerical algorithms for scientific/engineering problems (e.g., protein structure modeling, VLSI circuit analysis, coastal modeling) High-performance parallel computing and distributed numerical algorithms Data mining and large-scale data analysis (e.g., protein-nucleic acid interactions, traffic flow modeling) Grants & Awards : NSF CAREER Award (2000–2004), IBM Faculty Partnership Award (2002), TEES Select Young Faculty (2002), and TEES Special Research Fellow (2001). He has led over $4M in funded research, including projects on coastal modeling, VLSI design, and computational fluid dynamics. Teaching : Courses include Parallel Computing, Computational Linear Algebra, and Data Mining. He has advised numerous PhD and MS students, contributing to their work in areas like inductance extraction, fluid dynamics, and iterative methods. Professional Contributions : Served on NSF panels, conference program committees (e.g., ICPP, Supercomputing), and editorial/review boards for journals like Parallel Computing and SIAM Journal on Scientific Computing.

Alan H. BarrView profile

Professor

• Computer Graphics
• Biophysics
• Medical Computing
• +5 more

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.

Mohamed BakrView profile

Professor

• Optimization methods
• Computational electromagnetics
• Computer-aided design and modeling of microwave circuits
• +7 more

Professor Mohamed Bakr serves as Chair of the Department of Electrical and Computer Engineering at McMaster University's Faculty of Engineering (2022-2025). An expert in computational electromagnetics and optimization, his research spans microwave circuit design, photonic devices, and AI applications in high-frequency systems. His educational background includes: B.Sc. (Honors) in Electronics and Communications Engineering, Cairo University (1992) M.Sc. in Engineering Mathematics, Cairo University (1996) Ph.D. in Electrical and Computer Engineering, McMaster University (2000) Research focuses on optimization-driven electromagnetic modeling , with applications in electrified transportation, micro-nano systems, and smart analysis of RF/microwave structures. His work integrates neural networks with time-domain simulation methods for efficient circuit design. Key recognitions: NSERC Post-Doctoral Fellowship (2000-2001) Chrysler Innovation Award recipient (2014) Stanford top 2% cited scientist (2020-2022) President's Award for Teaching Excellence (2021) Actively mentors graduate students and leads research in the Computational Electromagnetics Research Laboratory (CERL). Current teaching includes ECE 733 (Nonlinear Optimization) and core electromagnetics courses (ELECENG 2FH4, 3FK4).

Elena HadzievaView profile

Professor

• Fractal Geometry
• Iterated Function Systems
• Computer Aided Design
• +4 more

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.

• Computer-Aided Design (CAD)
• Analog/Digital VLSI Design
• Rapid Prototyping
• +3 more

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.