جست‌وجوی استاد و پژوهشگر

Lei Wangمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Aquatic Systems
• Embedded Computing with Renewable Energy
• +۳ مورد دیگر

Lei Wang is the F. L. Castleman Associate Professor in Engineering Innovation at the University of Connecticut's School of Engineering, Department of Electrical and Computer Engineering. He holds a PhD from the University of Illinois at Urbana-Champaign (2001), an MS (1996) and BS (1992) from Tsinghua University, China. His research focuses on cyber-physical systems , embedded computing with renewable energy , and nanoscale integrated circuit design . Key areas include microbial fuel cells , memristor-based hardware security , and low-power signal processing architectures . Recent work trends involve Quantum-dot transistor applications for in-memory computing Adaptive LDPC decoder optimization Hardware security leveraging memristor properties Energy-efficient power management systems for underwater sensors Scientific recognition includes National Science Foundation CAREER Award (2010) F. L. Castleman Term Professorship in Engineering Innovation Professional roles encompass editorial and committee positions at IEEE and ACM journals. His work spans interdisciplinary domains in renewable energy integration , VLSI design , and bio-inspired computing systems .

Shubhangi Sarafمشاهده پروفایل

دانشیار

• Theoretical Computer Science
• Discrete Mathematics
• Complexity Theory
• +۳ مورد دیگر

Shubhangi Saraf is an Associate Professor in the Department of Computer Science and Mathematics at the University of Toronto. Previously, she held faculty positions at Rutgers University and was a postdoctoral researcher at the Institute for Advanced Study in Princeton. She earned her Ph.D. in EECS from MIT under the supervision of Madhu Sudan. Her research focuses on theoretical computer science and discrete mathematics, with an emphasis on complexity theory, algebraic computation, error-correcting codes, and discrete geometry. Her work has been supported by prestigious grants including the Sloan Research Fellowship, NSF CAREER Award, and Simons Collaboration on Algorithms and Geometry. Teaching highlights include courses such as Computational Complexity and Computability , Algebraic Complexity Theory , and Introduction to Combinatorics . She has advised current students like Deepanshu Kush and Devansh Shringi, and past students including Mrinal Kumar and Ben Lund. Awards and honors include recognition for her contributions to coding theory and complexity analysis. Her research frequently bridges algebraic techniques with computational challenges, yielding impactful results in areas like polynomial identity testing and arithmetic circuit lower bounds. She has led multiple academic initiatives, including special topics courses exploring algebraic gems in theoretical computer science and discrete mathematics. Her interdisciplinary work intersects with cryptography, combinatorics, and algorithm design, reflecting her broad scholarly contributions.

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.

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.

• 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.

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.

Eugene C. Rankeyمشاهده پروفایل

استاد

• Sedimentology
• Stratigraphy
• Marine Geology
• +۴ مورد دیگر

Prof. Eugene C. Rankey is a Professor at The University of Kansas specializing in sedimentology and marine geology, with research focused on tropical marine and nearshore sedimentary systems including carbonate ramps, atolls, and global change impacts. His field studies span the Pacific, Southeast Asia, and Caribbean regions. Education: Ph.D. in Geology, University of Kansas, 1996 M.S. in Geological Sciences, University of Tennessee, 1993 B.S. in Geology, Augustana College, 1991 His research integrates field observations of waves, tides, and biota with numerical modeling to analyze surface processes and geomorphic forms in shallow marine environments. He examines modern systems to develop testable models for ancient carbonate deposits in the stratigraphic record, applying seismic data interpretation and remote sensing techniques across global field sites from Kiribati to the Bahamas. Awards: Outstanding Poster, 2017 AAPG/SEPM Annual Conference and Exhibition Honorable Mention, Outstanding Paper Award, Journal of Sedimentary Research (2012) Distinguished Lecturer, American Association of Petroleum Geologists (2008-2009) Outstanding Paper Award, Journal of Sedimentary Research (2002) Prof. Rankey teaches courses in carbonate depositional systems, oceanography, and seismic interpretation. Information regarding student advising, research grants, and laboratory facilities was not provided in the source text.

• Mathematical Biology
• Dynamical Systems
• Quantitative Developmental Biology
• +۴ مورد دیگر

Roeland Merks is a Professor of Mathematical Biology at Leiden University's Faculty of Science, holding dual appointments in the Mathematical Institute (Analysis and Dynamical Systems group) and the Institute of Biology Leiden (Animal Sciences). His research bridges advanced computational modeling with biological questions, focusing on vascular development, tumor angiogenesis, and quantitative developmental biology. His research interests center on mathematical modeling of biological systems , particularly using agent-based approaches like the Cellular Potts Model to simulate lumen formation, tumor vasculature, and developmental processes. Key areas include computational angiogenesis, vascular network dynamics, endothelial cell behavior, and mathematical oncology. His work integrates dynamical systems theory with biological experimentation to unravel complex morphogenetic processes. Analysis of his recent publications reveals a strong trend toward translational computational biology , with increasing focus on tumor vasculature repair mechanisms, infant gut modeling, and plant sensory systems. His work consistently applies mathematical rigor to biomedical problems, particularly in understanding how physical forces and biochemical signals interact during vascular development. Professor Merks actively mentors doctoral candidates including Tessa Vergroesen and David Mattias Versluis, with former students such as Burak Demirbaş and Lisanne Rens contributing to his research legacy. His laboratory operates at the mathematics-biology interface, developing computational frameworks that generate testable biological hypotheses.

Jonathan Heckmanمشاهده پروفایل

استاد

• High Energy Physics
• Quantum Field Theory
• String Theory
• +۳ مورد دیگر

Jonathan Heckman is a Professor in the Department of Physics and Astronomy at the University of Pennsylvania, part of the College of Arts & Sciences. His academic career includes roles as Associate Professor (2020–2025) and Assistant Professor (2017–2020) at Penn, and earlier as an Assistant Professor at UNC Chapel Hill (2014–2017). He holds a Ph.D. in Physics from Harvard University (2009), an A.M. from Harvard (2005), and an A.B. from Princeton University (2004). His research focuses on theoretical high energy physics, addressing foundational questions such as the nature of quantum field theory (QFT), the building blocks of spacetime and matter, and the unification of quantum theory with gravity via string theory. Key areas include: (1) QFT in extra dimensions, (2) F-theory compactifications and their phenomenological implications, and (3) UV cutoffs in string theory. Recent work emphasizes non-invertible symmetries, holographic dualities, and swampland conjectures. He teaches advanced courses like Relativistic Quantum Field Theory (Physics 6632) and Introduction to Field Theory (Physics 6601), as well as introductory mechanics (Physics 0140/0150). His publications span topics from 6D superconformal field theories (SCFTs) to dark energy models and collider phenomenology of string-inspired scenarios. Notable contributions include frameworks for analyzing F-theory compactifications, studies of generalized symmetries in non-supersymmetric string backgrounds, and explorations of string theory’s implications for cosmology and particle physics. His work bridges formal string theory developments with experimental testability, particularly through collider signatures and cosmological observations.

• Quantum Physics
• Quantum Non-locality
• EPR-Steering
• +۲ مورد دیگر

Howard Wiseman is a Professor affiliated with the Centre for Quantum Dynamics at Griffith University, Brisbane, Australia. He visited the institute from January 22 to January 24, 2019, where he delivered a talk on quantum non-locality beyond EPR-steering and Bell tests. His research focuses on the foundational aspects of quantum mechanics, particularly quantum non-locality, entanglement, and measurement theory. His work lies at the intersection of theoretical quantum physics and experimental testability, aiming to extend beyond traditional Bell-type inequalities and explore deeper layers of quantum correlations. Prof. Wiseman has made significant contributions to quantum foundations, though specific publications and awards are not listed in the current text. He is actively involved in advancing theoretical frameworks that guide experimental quantum physics. He advises students and contributes to collaborative research within quantum information science, although no advisees are named here. There is no mention of grants, labs, or teams in the provided text.

• 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.

• String Theory
• Theoretical Particle Physics
• Physics Beyond the Standard Model
• +۴ مورد دیگر

Professor Alon Faraggi is a Professor at the University of Liverpool, specializing in theoretical particle physics and string theory with active roles in teaching and research leadership. His research centers on unifying fundamental matter and interactions through two primary avenues: Construction of quasi-realistic string models using Z2×Z2 orbifolds of six-dimensional toroidal lattices, exploring connections to K3 surfaces, Moonshine symmetries, and modular forms Study of duality symmetries across quantum mechanics, quantum field theories, and string theory to formulate quantum gravity via equivalence postulates Recent publications (2024-2025) demonstrate concentrated work on non-supersymmetric heterotic string vacua, vacuum energy calculations, and spinor-vector duality, bridging advanced mathematical structures with testable particle physics phenomena. Scientific recognition includes: PPARC Advanced fellowship (2000-2005) SSC fellowship (1993) Professor Faraggi has supervised multiple doctoral theses on string phenomenology while securing substantial research funding through 12 grants from STFC, EPSRC, and the Royal Society between 2005-2024, covering theoretical particle physics and string phenomenology. He serves as Theoretical Physics Divisional Director of Graduate Studies and Deputy Head of Cluster at Liverpool. He leads the String and Beyond the Standard Model Phenomenology research group, maintaining active collaborations with institutions including Weizmann Institute, Ecole Normale Supérieure, and University of Turin.

Adriaan Kosterمشاهده پروفایل

پژوهشگر

• Energy Transition
• Serious Games
• Sustainable Development
• +۲ مورد دیگر

Adriaan Koster is a Researcher at the Energy & Resources department within the Copernicus Institute of Sustainable Development, Faculty of Geosciences, Utrecht University. His role bridges academic research and software development, focusing on computational approaches to sustainability challenges in energy systems. His research interests center on: Energy Transition modeling through game-based simulations Integration of Artificial Intelligence in sustainable resource management Development of serious games for stakeholder engagement in sustainability Enterprise software solutions for geoscientific research Interdisciplinary applications of software engineering in environmental science With over two decades of professional experience since 2000, Koster applies his expertise as a senior Java developer to the "Game Research PtS - Energy in Transition" initiative. His technical background spans enterprise integration, web application development, and cross-sector implementations in finance, medical systems, mobility, and defense contexts. He emphasizes testable, maintainable code and transparent team processes in research-oriented software development.