جست‌وجوی استاد و پژوهشگر

Wen-Ben Joneمشاهده پروفایل

دانشیار

• VLSI system design
• low-power VLSI systems
• many-core micro-processor design
• +۳ مورد دیگر

Wen-Ben Jone is an Associate Professor at the University of Cincinnati 's Department of Electrical Engineering & Computing Systems. He previously held positions as Assistant/Associate Professor at New Mexico Institute of Mining and Technology and Visiting Associate/Full Professor at National Chung-Cheng University, Taiwan. His research focuses on VLSI system design, low-power circuits, and fault-tolerant testing methodologies. He has advised over 70 graduate students and authored/co-authored numerous papers in top-tier journals and conferences. Education : PhD: Case Western Reserve University (Computer Engineering, 1987) MS: National Chao-Tung University (Computer Engineering, 1981) BS: National Chao-Tung University (Computer Science, 1979) Research Interests : Reliable VLSI design and testing Low-power and fault-tolerant circuits Many-core processor architectures Parallel computing and debugging tools Awards : 2003 IEEE Donald G. Fink Prize Paper Award 2008 Best Paper Award (International Symposium on Low-Power Electronics) 2012 Best Paper Award (VLSI Design, Automation & Test) Grants : $390k NSF Grant (CCF-0541103) for cache optimization techniques His work emphasizes practical solutions in VLSI testing and reliability, with a focus on low-power strategies and resilient system design.

• Hardware Security
• Side-Channel Attacks
• Cryptographic Circuits
• +۳ مورد دیگر

Darshana Jayasinghe is a Postdoctoral Research Associate at the School of Electrical and Information Engineering (EIE) , University of Sydney. He holds a PhD from the University of New South Wales (UNSW), completed in 2017, and worked as a Research Associate there until December 2022. His research focuses on hardware security, particularly side-channel analysis attacks and countermeasures. Education: PhD, University of New South Wales (2017) Research Interests include: Side-channel analysis attacks (Power Analysis, EM Attacks, Fault Injection) Countermeasures (Balancing, Random Execution, Masking) On-chip sensors for FPGA monitoring FPGA reliability under power fluctuations Publication Trends reveal expertise in: Hardware Security (15/15 articles) FPGA Vulnerabilities (10/15 articles) Cryptographic Countermeasures (12/15 articles) Sensor Development (5/15 articles)

• Trustworthy computing
• Energy harvesting
• Intelligent system design
• +۷ مورد دیگر

Youhua Shi is a full Professor in the Faculty of Science and Engineering at Waseda University, Japan. He obtained his Doctor of Engineering from Waseda in 2005 and is an active member of IEICE, IPSJ, IEEE, and two Japanese academic societies. His research portfolio integrates trustworthy computing, hardware security of AI accelerators, energy-harvesting interface circuits for triboelectric nanogenerators, and low-power VLSI design-for-test methodologies. Education: Doctor of Engineering, Waseda University (2005) Graduate studies, Waseda University, Division of Engineering (completed 2005) Research Interests: Prof. Shi pursues trustworthy and secure silicon systems, spanning hardware Trojans in automated AI-accelerator flows, radiation-hardened latch design for soft-error resilience, and power-efficient CNN accelerators exploiting zero-gating and data-reuse techniques. Parallel work targets energy-autonomous IoT through advanced interface circuits for triboelectric nanogenerators, achieving record energy-per-cycle beyond the classical CMEO limit. Publication Trends: Recent articles (2024-2025) emphasize two thrusts: (i) security of AI/FPGA accelerators—proposing stealthy hardware-Trojan frameworks embedded within design-space-exploration flows that can misclassify up to 97% of inputs—and (ii) power electronics for triboelectric harvesters—introducing dual-output rectifiers and Bennet-doubler biasing that multiply output power >150× over conventional full-wave rectifiers, enabling battery-free IoT nodes. Scientific Awards: APCCAS Best Student Paper Award – 2020 IEEK Best Paper Award – 2012 Students & Collaboration: He has mentored numerous doctoral and master’s scholars, including Yirui Su, Chao Guo, Jinghao Ye, Lin Ye, Saki Tajima, and Masaru Oya, many of whom serve as first authors on his high-impact publications, indicating an active and productive advising role. Labs & Teams: While the text does not name a specific laboratory, his continued affiliation with Waseda University’s Faculty of Science and Engineering and his extensive project output imply he leads a research group focused on secure & energy-efficient VLSI systems, collaborating closely with colleagues such as Prof. Masao Yanagisawa and Prof. Nozomu Togawa.

Naghmeh Karimiمشاهده پروفایل

دانشیار

• Hardware Security
• Design-for-Trust
• Fault Tolerance
• +۹ مورد دیگر

Naghmeh Karimi is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County (UMBC), where she has held this position since 2023, after serving as an Assistant Professor from 2017 to 2023. She is a recipient of the NSF CAREER Award (2020) and the Best Paper Award (2019). Her research focuses on hardware security, trustworthiness, and reliability of integrated circuits, with a particular emphasis on cryptographic devices, PUF-based authentication, and aging-related vulnerabilities. She directs the SECure, REliable and Trusted Systems (SECRETS) Lab at UMBC, which explores topics including hardware security countermeasures, fault tolerance, and AI-driven security solutions. Prior to UMBC, she was affiliated with Rutgers University, New York University, Duke University, and Yale University. Her research interests span hardware security, design-for-trust, fault tolerance, AI for security, and VLSI design. Recent work emphasizes aging effects on cryptographic circuits, PUF resilience, and digital sensor-based failure detection. Her publications address challenges in side-channel attacks, fault injection, and secure IoT frameworks. Dr. Karimi’s work is supported by sponsors, and she actively mentors Ph.D. students in hardware security and reliability. Her lab offers openings for self-motivated researchers in these areas.

Eunjee Songمشاهده پروفایل

دانشیار

• Software Engineering
• Aspect-Oriented Modeling
• Software Security
• +۳ مورد دیگر

Eunjee Song is an Associate Professor and Graduate Program Director in the Department of Computer Science at Baylor University, Waco, Texas. She joined Baylor in 2006 and has held positions ranging from Lecturer (2006-2007) to Assistant Professor (2007-2013), Associate Professor (since 2013), and Graduate Program Director (2017-2021, 2023-current). PhD (2006) and MS (2001) in Computer Science from Colorado State University BS in Computer Engineering (1991) and Architecture (1988) from Seoul National University Her research focuses on software engineering , particularly aspect-oriented modeling for software security. Key interests include model-driven engineering , software verification , formal methods , and adaptive control of real-time systems . Her work often integrates property formalization and model verification for high-confidence systems. Recent publications emphasize hybrid access control systems , testability frameworks , and adaptive user interfaces , reflecting her expertise in model-driven security solutions . She has co-authored 15+ papers, with several appearing in SCI-indexed journals. Best Conference Paper Award at RACS 2012 She has advised 13 graduate students (PhD and MS) since 2007, including collaborations with Dr. Tomas Cerny (University of Arizona) and Dr. David Lin (SMU). Courses taught include Advanced Software Engineering, Software Verification & Validation, and Software Quality Assurance.

• Functional Safety
• Functional Testing
• Microprocessor Testing
• +۹ مورد دیگر

Riccardo Cantoro is an Associate Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where he is a member of the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. He is affiliated with the CAD - Electronic CAD & Reliability Group and the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His work bridges academic research and industrial applications through multiple commercially funded projects. Scientific Disciplinary Sector: IINF-05/A - Information Processing Systems ERC Sectors: PE7_4, PE6_2, PE6_11, PE6_12 His research focuses on functional safety, functional testing, and microprocessor testing, with a strong emphasis on embedded systems and reliability. He applies machine learning and formal methods to enhance test efficiency and system robustness, particularly in automotive and safety-critical domains. His work integrates computer-aided design, fault modeling, and resilience assessment in both hardware and AI systems. The recent publications highlight a trend toward data-efficient and intelligent testing methodologies, combining machine learning (e.g., TabPFN, active learning) with traditional electronic design automation. Topics include microcontroller performance screening, CNN resiliency, FeFET device testing, and system-level test optimization, reflecting a cohesive research agenda in trustworthy computing and hardware reliability. Scientific Awards: No awards explicitly mentioned in the provided texts. Advising and Grants: Dr. Cantoro supervises numerous PhD students in Computer and Systems Engineering, focusing on functional safety, test methodologies, and AI for CAD. He leads multiple industry-funded research projects, including collaborations with Infineon Technologies and Dana-TM4 Italia, on topics such as ATPG tools, speed monitor modeling, and power module reliability. His role as Scientific Manager/Head underscores his leadership in applied research and technology transfer. Labs and Teams: He is a core member of the CAD - Electronic CAD & Reliability Group (DAUIN) and contributes to the CARS@PoliTO center, fostering interdisciplinary research in automotive systems and sustainable mobility.

• Software Engineering
• Decision Models
• Framework Evolution
• +۶ مورد دیگر

Michael Mattsson is a Professor in the Department of Software Engineering at Blekinge Institute of Technology (Faculty of Computing). His research focuses on software engineering practices, particularly in decision models for asset selection, framework evolution, and software architecture evaluation. Industrial collaboration and empirical validation are central to his work. Research Themes: Decision models, framework stability, quality attribute trade-offs, and industrial software evaluation. Projects: Completed the VITS project on test data visualization and contributed to the ORION project (funded by the Knowledge Foundation). Publications: Key topics include asset selection surveys, framework evolution comparisons, and systematic mapping studies in software engineering.

Jonathan Kolstadمشاهده پروفایل

استاد

• Health Economics
• Industrial Organization
• Public Economics
• +۴ مورد دیگر

Jonathan Kolstad is Professor holding the Henry J. Kaiser Chair at UC Berkeley's Haas School of Business with joint appointments in Economic Analysis and Policy and the Department of Economics. He serves as founding director of the Center for Healthcare Marketplace Innovation and co-director of the Health Initiative at the UC Berkeley Opportunity Lab, while also contributing as core faculty in the Computational Precision Health Graduate Group (UC Berkeley/UCSF). His educational background includes a PhD from Harvard University and BA from Stanford University, establishing foundational expertise in economic theory and empirical methods. Kolstad's research integrates health economics, industrial organization, and public economics to address complex healthcare market dynamics. He pioneers applications of behavioral economics and machine learning to examine information asymmetries, incentive structures, and policy interventions—particularly in insurance markets, quality reporting systems, and medical decision-making. His work consistently leverages novel datasets and causal inference techniques to evaluate real-world policy impacts. Recent publications reveal three dominant research trajectories: (1) malaria treatment optimization through provider/patient incentive alignment in developing nations, (2) socioeconomic determinants of health insurance choice using Dutch longitudinal data, and (3) structural analysis of ACA insurance exchanges and telehealth adoption patterns during the pandemic. These threads demonstrate his signature approach of merging theoretical microeconomics with high-impact policy evaluation. His scientific recognition includes: Arrow Award (2014) for best health economics paper NIHCM Foundation Research Award (2016 and 2018) ASHEcon Medal (2018) for economists under 40 Kolstad mentors through courses like Big Data and Better Decisions and Health Economics, developing problem sets on Massachusetts health reform for graduate instruction. His entrepreneurial engagement spans co-founding Picwell (serving as Chief Data Scientist) and advising governments, corporations, and startups on healthcare innovation. He leads the Center for Healthcare Marketplace Innovation in developing testable models for healthcare market transformation, while contributing to the Computational Precision Health Graduate Group's mission of integrating data science with clinical practice to improve population health outcomes.

• Software Engineering
• Data Management and Data Science
• Information Systems
• +۲ مورد دیگر

Earl Barr is a Professor of Software Engineering at the Department of Computer Science, University College London. His research focuses on software engineering, data management and data science, and neural software engineering approaches. Research Interests: Dr. Barr's work bridges traditional software engineering with modern machine learning techniques. He explores automated program repair, code summarization, log anomaly detection, and the application of neural models to software development workflows. His studies often address both practical challenges in industry and theoretical aspects of code analysis. Article Trends: His recent publications emphasize the integration of large language models (LLMs) into software engineering tasks, including fact selection for program repair, semantic prompt augmentation, and grid-based code representation. Other recurring themes include empirical studies of development practices, fuzzing techniques for program analysis, and the use of surprisal theory in issue tracking systems. Scientific Awards: ACM Sigsoft Distinguished Paper Award (2013) Best Paper Award - IEEE Conference on E-Commerce Technology (2005) I3P Fellowship (2009-10) Professional Activities: Dr. Barr has served as a visiting assistant professor at the University of California Davis (2013) and as a reviewer for top software engineering conferences and journals including ICSE, ISSTA, FSE, SAS, TOSEM, TSE, and the DARPA MURI Program. He also contributed to commercialization efforts through a patented approach leveraging statistical analysis from large software corpora for engineering tools.

Graham D. Kribsمشاهده پروفایل

استاد

• Theoretical High Energy Physics
• Particle Physics Beyond Standard Model
• Dark Matter
• +۵ مورد دیگر

Graham D. Kribs is a Professor of Physics at the University of Oregon within the College of Arts and Sciences, where he has been a faculty member since 2005. During 2019-2025, he served as the first Director of the Institute for Fundamental Science. His academic journey began with a Ph.D. from the University of Michigan in 1998. Kribs' research focuses on Theoretical High Energy Physics, specializing in Physics Beyond the Standard Model. His work spans multiple frontiers including dark matter phenomenology, supersymmetry, extra dimensions, grand unification, and early universe cosmology. He has made significant contributions to stealth dark matter models, dark photon research, and effective field theory approaches to new physics. His publication record demonstrates a consistent trajectory from foundational work on supersymmetry and little Higgs models to cutting-edge research on long-lived particles and dark sector phenomena. Recent work shows increasing emphasis on experimental signatures that could be detected at the LHC and future colliders, with particular attention to unconventional dark matter candidates and their detection strategies. Fellow of the American Physical Society (2015) Kribs has organized numerous conferences and workshops worldwide at prestigious institutions including the Aspen Center for Physics, the Mainz Institute for Theoretical Physics, and the Institute for Nuclear Theory. His research has been supported by various grants, though specific funding details aren't provided in the source material. He has held significant research positions including a Ben Lee Fellowship at Fermilab (2010-11) and a Membership at the Institute for Advanced Study in Princeton (2013). His work bridges theoretical development with experimental testability, particularly through collaborations with experimental groups designing searches for new physics at major facilities like the LHC.

Valérie Courchesneمشاهده پروفایل

استاد مدعو

• Autism Spectrum Disorders
• Neuropsychology
• Child Development
• +۳ مورد دیگر

Valérie Courchesne is an Assistant Professor in the Department of Psychology at Université de Montréal, affiliated with the Faculté des arts et des sciences. Her research focuses on autism, neuropsychology, and mental health interventions. She holds a PhD in clinical psychology (2017) and completed postdoctoral training at McGill University and the Centre for Addiction and Mental Health (Toronto). Her work emphasizes strength-based assessments, mental health risk/resilience factors, and tailored psychotherapy for autistic populations. Education : PhD in Research & Intervention Clinical Psychology (2017), Université de Montréal Bachelor's in Psychology (2011), Université de Montréal Research Interests : Advocating for autism neurodiversity, developing inclusive assessment tools, exploring mental health challenges in autistic youth, and designing interventions aligned with autistic cognitive strengths. Her work combines clinical practice with translational research, aiming to improve diagnostic accuracy and therapeutic outcomes. Recent Article Trends : Focus on diagnostic certainty, calendar calculation abilities in autism, mental health risk factors, and longitudinal language development in autistic children. Her studies highlight the need for context-specific assessments and emphasize autistic individuals' unique cognitive profiles. Awards : Over 20 awards including the Dialogue Scholarship (2020), Governor General's Medal finalist (2018), and multiple best presentation awards at international conferences. Grants & Teams : Leads the CREIA (Centre de recherche, d’évaluation et d’interventions en autisme) and collaborates on Quebec Integrative Cohort (QUIC). Supervises over 20 graduate students and has coordinated clinical teams in autism research. Labs & Affiliations : Associated with the Azrieli Center for Autism Research (ACAR) and the CIUSSS Nord-de-l’île-de-Montréal research center. Co-directs the Moveo Psychology Clinic and contributes to public outreach via the magazine Sur le spectre .

Melvin A. Breuerمشاهده پروفایل

استاد

• Computer-Aided Design of Digital Systems
• Design-for-Test
• Built-In Self-Test
• +۴ مورد دیگر

Melvin A. Breuer is a Professor of Electrical Engineering and Computer Science at the University of Southern California (USC), holding the Charles Lee Powell Professorship. He has served as Chairman of the Department of Electrical Engineering-Systems (1991–1994) and later returned to the role, while also chairing the Faculty of USC’s School of Engineering in 1997–1998. His research focuses on computer-aided design of digital systems, design-for-test, built-in self-test, and VLSI circuits. Ph.D. in Electrical Engineering from UC Berkeley He has authored or co-authored multiple books, including Design Automation of Digital Systems: Theory and Techniques (Prentice-Hall) and Digital System Testing and Testable Design (IEEE Press). His editorial roles include Editor-in-Chief of the Journal of Design Automation and Fault Tolerant Computing and positions on the editorial boards of several journals. He has been recognized with awards such as the IEEE Computer Society’s Taylor L. Booth Education Award and USC’s Associates Award for Creativity in Research. Dr. Breuer has also delivered keynotes at international symposia and contributed to over 200 technical papers. Scientific Awards IEEE Fellow Fulbright-Hays Scholar (1972) 1991 Associates Award for Creativity in Research and Scholarship (USC) 1991 USC School of Engineering Exceptional Service Award IEEE Computer Society’s 1993 Taylor L. Booth Education Award 2000 Engineering Faculty Council Outstanding Meritorious Service Award (USC School of Engineering) Honorable Mention Paper (1997 International Test Conference) Best Paper (2000 Asian Test Symposium)

Ian Dearمشاهده پروفایل

مدرس ارشد

• Digital Systems
• Test Technology
• Optical Strain Measurement
• +۳ مورد دیگر

Dr. Ian Dear is a Senior Lecturer in the Department of Electronic and Electrical Engineering at Brunel University's College of Engineering, Design and Physical Sciences. His research focuses on digital systems and test technology, with a strong emphasis on economic analysis and optical strain monitoring techniques for industrial applications. Position: Senior Lecturer Institution: Brunel University Department: Electronic and Electrical Engineering Contact: ian.dear@brunel.ac.uk Dr. Dear's research bridges economic modeling with electronic testing and optical strain measurement. His work targets power plant components, VLSI boards, and industrial diagnostics, prioritizing cost-effective strategies and structural health monitoring. Recent publications highlight trends in optical strain monitoring for energy systems and economic frameworks for electronic testing. These studies span power generation plants, VLSI diagnostics, and material stress analysis. Dr. Dear contributes to doctoral education modernization in Kyrgyzstan and maintains active research collaborations through Brunel University's engineering faculty.

• Perception
• Metacognition
• Subjective Experience
• +۶ مورد دیگر

Megan Peters is an Associate Professor at the University of California, Irvine, with appointments in both the Department of Cognitive Sciences and the Department of Logic and Philosophy of Science within the School of Social Sciences. She serves as president and co-founder of Neuromatch.io and is a Fellow in the Brain, Mind & Consciousness program at the Canadian Institute for Advanced Research (CIFAR). Her research focuses on the intersection of perception, metacognition, and subjective experience, employing methodologies including fMRI, computational modeling, and artificial intelligence. Peters investigates how humans form metacognitive judgments about their perceptions and decisions, examining the neural and computational mechanisms underlying confidence, uncertainty, and conscious awareness. Her work spans theoretical frameworks in philosophy of science to practical applications in neuroscience methods. Peters' recent publications reveal a strong emphasis on metacognitive processes across various domains, with particular attention to how uncertainty is represented in the brain and communicated through behavior. Her research integrates computational neuroscience with philosophical approaches to consciousness and perception, creating a unique interdisciplinary perspective. She has made significant contributions to understanding the representational geometry of psychological spaces, the dynamics of perceptual decision-making, and the development of novel methods for analyzing neural data. Fellow, CIFAR Brain Mind & Consciousness Program As co-founder and president of Neuromatch.io, Peters has created a global platform for computational neuroscience education that has democratized access to advanced training. Her leadership in organizing large-scale virtual conferences has demonstrated innovative approaches to scientific collaboration across geographical boundaries. Through her work with Neuromatch, she has mentored numerous students and early-career researchers in computational neuroscience methods. Peters maintains active involvement in the consciousness science community, regularly participating in and organizing events such as the Metacognitive Science Satellite meeting and CCN (Cognitive Computational Neuroscience) conferences. Her research laboratory investigates fundamental questions about how the brain generates subjective experiences and metacognitive awareness, with implications for both theoretical understanding and potential clinical applications.

Michel Regenwetterمشاهده پروفایل

استاد

• Decision Making
• Mathematical Psychology
• Behavioral Social Choice
• +۵ مورد دیگر

Michel Regenwetter is a Professor at the University of Illinois at Urbana-Champaign, with joint appointments in the Department of Psychology, Department of Political Science, and Department of Electrical and Computer Engineering. He is also an affiliate of the Center for Social & Behavioral Science. Education : Ph.D. in Mathematical Behavioral Sciences (1995, University of California, Irvine), M.A. in Social Sciences (1993, UC Irvine), Diplom in Experimental Psychology (1991, University of Bonn), Vordiplom in Mathematics (1990, University of Bonn), Vordiplom in Psychology (1988, University of Bonn) His research focuses on probabilistic measurement , behavioral social choice , and preference evolution over time , using random utility models and stochastic processes to quantify variability in human decision-making. Recent work includes advancing Bayesian and frequentist methods for testing binary choice theories and addressing the construct-behavior gap in decision research. His 15 most recent publications span Psychological Review , Journal of Mathematical Psychology , and Decision , emphasizing Bayesian inference , preference transitivity , and quantitative hypothesis testing . Key subfields include social choice , random utility , decision theory , and preference heterogeneity . Honors include election as Fellow of the Association for Psychological Science (2006) and Psychonomic Society, co-recipient of the 2012 Exeter Prize for experimental economics research, and the 1999 Young Investigator Award from the Society for Mathematical Psychology. He has served as Editorial Board member for Decision (2015–present), Consulting Editor for Experimental Psychology (2007–present), and Associate Editor for Research & Politics (2013–present) and Journal of Mathematical Psychology (2003–present).