جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Artificial Intelligence
• Federated Learning
• +۳ مورد دیگر

Dr. Jing Jiang is an Associate Professor in the School of Computer Science and a core member of the Australian Artificial Intelligence Institute (AAII) at the University of Technology Sydney (UTS). As an ARC DECRA Fellow, she has secured over AU$2 million in research funding through multiple ARC grants, CSIRO/Data61 projects, and industry collaborations. Her work bridges theoretical advances in machine learning with practical applications across various domains. Dr. Jiang's research focuses on machine learning, particularly federated learning, reinforcement learning, and foundation models. She explores how to make these technologies work effectively in heterogeneous environments, addressing challenges like data privacy, non-IID data distributions, and efficient communication. Her work spans both theoretical foundations and practical implementations for real-world applications. Her publications demonstrate a strong trend toward personalized federated learning approaches, with significant contributions to recommender systems, time series analysis, and weather forecasting. She has developed novel techniques like variational autoencoder approaches for federated collaborative filtering and adaptive prompt learning for foundation models on devices. Dr. Jiang has received several notable recognitions: ARC DECRA Fellow Awardee of the Australian International Postgraduate Research Scholarship (IPRS) Dr. Jiang has successfully led multiple major research projects, including two ARC Discovery Projects, one ARC Linkage Project, and a CSIRO/Data61 CRP project where she served as lead Chief Investigator. She has supervised numerous PhD and Master's students and actively collaborates with industry partners on applied research. As a core member of the Australian Artificial Intelligence Institute (AAII) at UTS, Dr. Jiang contributes to a vibrant research ecosystem focused on cutting-edge AI research. She collaborates closely with Professor Guodong Long and other researchers on various machine learning projects, and serves in leadership roles including program co-chair for major conferences like ADMA2023.

Felipe Gohring de Magalhaesمشاهده پروفایل

استادیار

• Integrated circuits
• Microelectronics
• Computer systems organization
• +۷ مورد دیگر

Felipe Gohring de Magalhaes is an Assistant Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he has been working since July 2018 and assumed his current position in October 2024. He holds a dual doctorate from PUC-RS (Brazil) and Polytechnique Montréal (2016), with degrees in both computer science and computer engineering. His research spans embedded system architectures, real-time systems, avionics, and cybersecurity for emerging technologies. He is affiliated with the Microelectronics and Microsystems Research Group and the Multidisciplinary Institute for Cybersecurity and Cyber Resilience, reflecting his focus on integrated circuits, microelectronics, and system security. Professor Gohring de Magalhaes has published over 40 articles in international journals and conferences, with recent work focusing on photonic integrated circuits security, optical neural networks, and post-quantum cryptography for avionic systems. His publication trend shows consistent output with increasing focus on security aspects of emerging computing technologies. He has supervised at least one PhD student to completion and teaches courses including Introduction to Programming and Operating System Kernel. His research interests align with NSERC topics in integrated circuits, microelectronics, computer systems organization, and VLSI systems.

Christof Paarمشاهده پروفایل

استاد

• Cryptography
• Hardware Security
• Embedded Systems Security
• +۷ مورد دیگر

Professor Christof Paar is a Research Professor at Ruhr University Bochum, Faculty of Computer Science, where he leads the Embedded Security group. His work bridges theoretical cryptography with practical implementation security for embedded systems, with a strong emphasis on real-world security challenges. Professor Paar's research focuses on multiple critical areas of security including hardware security, side-channel attacks, hardware trojans, physical-layer security, wireless security, and reverse engineering. His work is characterized by a strong practical orientation, often demonstrating real-world vulnerabilities and developing practical countermeasures. He has made significant contributions to understanding and improving the security of cryptographic implementations in resource-constrained environments. His publication record shows a consistent output of high-quality research, with particular emphasis in recent years on physical-layer security, wireless security, hardware reverse engineering, and hardware trojan detection. His work spans both theoretical contributions to cryptographic engineering and practical demonstrations of security vulnerabilities in real systems. Professor Paar's educational impact is substantial, having co-authored the widely used textbook 'Understanding Cryptography' and offering numerous courses at both undergraduate and graduate levels. His group actively engages students through Bachelor and Master projects, providing hands-on experience with cutting-edge security research topics. His lab, the Embedded Security group, appears to maintain an active research program with multiple ongoing projects in hardware and embedded systems security. The group collaborates internationally and publishes regularly in top security venues, maintaining a strong presence in the cryptographic engineering community.

• Electronic design automation
• Hardware security
• Optimization
• +۵ مورد دیگر

Dr. Levent Aksoy is a Senior Research Fellow at Tallinn University of Technology, School of Information Technologies, Department of Computer Systems, where he has been working since 2020 (initially as a Post-Doc and since November 2023 as Senior Research Fellow). His academic journey began with a BSc from Yildiz Technical University, followed by MSc and PhD degrees from Istanbul Technical University in Electronics and Communication Engineering. Dr. Aksoy's research primarily focuses on electronic design automation, hardware security, and optimization techniques. His work spans several key areas including logic locking, circuit obfuscation, multiplierless design methods for constant multiplications, and switching lattices for efficient logic implementation. He has published extensively in top-tier IEEE journals and conferences, with a strong emphasis on hardware security mechanisms and efficient circuit design. His recent publications (2020-2025) demonstrate a clear research trajectory toward hardware security, with numerous papers on logic locking techniques, structural analysis attacks, and hardware obfuscation methods. This research direction aligns with his current leadership of the EAGER project on 'Hardware-Efficient Realization of UA Cryptographic Standards' and his involvement in the European Space Agency project on 'End-to-End Supply Chain Protection'. Dr. Aksoy has received multiple awards for his research contributions, including: First place in HELLO: CTF 2022 (2023) Best paper award at DDECS (2022) Best paper award at EUC (2015) As a supervisor, Dr. Aksoy currently guides three students working on hardware security topics, including lightweight cryptography implementations and advanced hardware protection mechanisms. He also serves on PhD and MSc defense committees at Tallinn University of Technology and Linköping University. His professional service includes IEEE membership and reviewing for prestigious IEEE transactions and conferences such as DATE, ICCAD, and ISCAS.

Vincent Weaverمشاهده پروفایل

دانشیار

• Hardware Performance Counters
• Computer Architecture
• High Performance Computing
• +۸ مورد دیگر

Vincent Weaver is an Associate Professor in the Electrical and Computer Engineering Department at the University of Maine's College of Engineering. He leads the VMW Research Group, focusing on low-level systems research including hardware performance counters, computer architecture, and operating systems. Weaver received his BS in Electrical Engineering from the University of Maryland College Park in December 2000, followed by MS (January 2009) and PhD (May 2010) degrees in Electrical and Computer Engineering from Cornell University. He joined the University of Maine faculty in July 2012 as an Assistant Professor and earned tenure and promotion to Associate Professor in September 2018. His research centers on hardware performance analysis, architectural simulation, and systems programming with emphasis on Linux kernel development and embedded systems. Weaver's work bridges theoretical computer architecture with practical systems implementation, often resulting in open-source tools that advance the field. His publications reveal a consistent focus on performance analysis techniques, code optimization, and security through low-level system understanding. Weaver maintains an active teaching schedule including courses in embedded systems, operating systems, and network engineering. He values students with strong programming skills and encourages open source contributions as part of the learning process. His research group provides hands-on experience with cutting-edge processor architectures and performance analysis tools.

Sathish Kumarمشاهده پروفایل

دانشیار

• Cybersecurity
• Machine Learning
• Distributed Systems
• +۶ مورد دیگر

Sathish Kumar is an Associate Professor in the Department of Electrical Engineering and Computer Science at Cleveland State University's Washkewicz College of Engineering. He serves as Director of the Intelligent Secure Cyber-Systems Analytics and Applications Research (ISCAR) Lab and holds editorial positions with PLOS One, IEEE Access, and Nature Scientific Reports. With over a decade of industry experience prior to joining academia in 2013, Dr. Kumar has established himself as a prominent researcher in cybersecurity and emerging technologies. Dr. Kumar's research spans Cybersecurity, Machine Learning, Distributed Systems, and Quantum Computing, with applications in Intelligent Cyber Physical Social Systems, Smart Cities, Blockchain, Disaster Resilience, and Health Informatics. His work demonstrates a consistent focus on practical security solutions for emerging technologies, particularly in IoT and IIOT environments. Recent publications show increasing emphasis on quantum machine learning applications and reinforcement learning approaches to security challenges. His research program has attracted significant funding, including multiple NSF grants as PI and Co-PI, CDC and NIH funding for public health applications, and industry partnerships. Dr. Kumar has published over 80 technical papers and co-edited a book on IoT security challenges. His editorial roles with major journals reflect his standing in the research community. National Science Foundation Grant ($799,985) as PI for quantum sensor research (2022-2025) National Science Foundation Grant ($434,431) as Co-PI for HPC infrastructure (2022-2025) Multiple additional NSF, CDC, and industry-funded projects Dr. Kumar actively mentors students at all levels, currently supervising multiple PhD students, postdoctoral researchers, and undergraduate honors students. His lab provides opportunities for students to engage in cutting-edge research with practical applications in cybersecurity and emerging technologies, supported by substantial external funding that ensures resources for student participation.

Marc GUYOTمشاهده پروفایل

استاد

• Defense Economics
• Macroeconomics
• Public Debt Management
• +۷ مورد دیگر

Marc GUYOT is a Professor in the Economics Department at ESSEC Business School, France, where he has taught since 2007 (becoming a full Professor in 2011). He holds a Doctorate in Economics from Sciences Po Paris (1994) and has specialized in defense economics, macroeconomics, and economic policy analysis. His academic journey includes serving as Director of Specialized Management Programs at ESSEC Executive Education (2002-2007) and as Academic Director (2002-2008). Professor GUYOT's research interests span defense economics (from his early career), public debt management, inflation dynamics, labor market economics, and European industrial policy. His work consistently applies economic principles to contemporary policy challenges, with a particular focus on market-oriented solutions. Since 2013, he has collaborated extensively with Radu Vranceanu as a regular columnist for La Tribune newspaper, producing approximately 20-30 policy analyses annually that bridge academic economics and public discourse. His recent publications (2022-2024) reveal a strong focus on geopolitical economic issues, European debt sustainability, inflation management, and industrial policy challenges. Rather than traditional academic journal articles, Professor GUYOT has channeled his expertise through media commentary, making complex economic concepts accessible to policymakers and the general public while maintaining academic rigor. His analyses often critique populist economic policies and protectionist measures, advocating instead for structural reforms and market-based solutions to Europe's economic challenges. Professor GUYOT's academic contributions include co-authoring several books, notably Economie managériale (2008), and numerous scholarly articles in journals such as Defense and Peace Economics and Revue française d'économie . His early work focused on European defense integration, evolving toward broader macroeconomic and policy analysis in recent years. As an educator at ESSEC Business School, Professor GUYOT brings his policy expertise into the classroom, likely teaching courses related to macroeconomics, public policy, and industrial economics. His extensive media presence suggests an ability to connect theoretical economic concepts with real-world applications, providing valuable context for students navigating complex economic landscapes.

Klaus von Gleissenthallمشاهده پروفایل

استادیار

• Programming Languages
• Security
• Systems
• +۳ مورد دیگر

Klaus von Gleissenthall is a tenured Assistant Professor in Computer Science at Vrije Universiteit Amsterdam, affiliated with the Theory Group and VUSec security lab. He holds a joint appointment with CWI's Computer Security group. Previously, he was a post-doc at UCSD and completed his PhD at TUM under a Microsoft Research scholarship. His research integrates programming languages , security , and systems to develop formally verified, low-overhead solutions for hardware/software correctness. Key focus areas include: Side-channel attack mitigation via leakage contracts Refinement-type systems for hardware verification Byzantine fault tolerance in distributed systems Publications demonstrate strong emphasis on hardware security (45% of recent papers), formal methods (30%), and distributed systems (25%), with consistent appearances in top-tier venues (S&P, CCS, OOPSLA). Awards & Honors: ERC Starting Grant (€1.5M, 2024) Intel Hardware Security Award Honorable Mention (2020, 2024) Distinguished Paper Awards: CCS'23, OOPSLA'23, POPL'21 He advises four PhD students and two post-docs, supported by his ERC grant. Current projects include refinement types for hardware and pre-silicon leak detection. His lab collaborates with VUSec and CWI, focusing on scalable verification tools like LLVM Blade and methodologies for constant-time execution guarantees.

Hayssam El-Razoukمشاهده پروفایل

دانشیار

• Hardware Security
• Cryptographic Hardware
• VLSI Circuits Design
• +۵ مورد دیگر

Hayssam El-Razouk serves as Associate Professor in the Electrical and Computer Engineering Department at California State University, Fresno within the Lyles College of Engineering. He holds a PhD in Electrical and Computer Engineering from Western University (2015) and maintains active industry connections through prior roles at IBM Canada and RedIron Technologies. Education: PhD in Electrical and Computer Engineering, Western University, London, Ontario, Canada (2015) MESc in Electrical and Computer Engineering, Western University, London, Ontario, Canada (2006) BEng in Electrical and Computer Engineering, Beirut Arab University, Beirut, Lebanon (2002) - First Rank Research Focus: Dr. El-Razouk's work centers on Hardware Security and Cryptographic Hardware , with significant contributions to VLSI Circuits Design for finite field arithmetic. His research bridges theoretical cryptography with practical implementations, emphasizing defect tolerance in digital circuits, data compression techniques, and pseudo-random sequence generation for secure communications. Current projects address emerging threats in embedded systems and IoT security. Publication Trends: Analysis of his 15 most recent publications (2025-2016) reveals consistent specialization in GF(2^m) arithmetic optimization using Gaussian Normal Basis and Polynomial Basis representations. His work demonstrates progressive refinement from foundational finite field operations (2016-2019) toward integrated security solutions (2020-2025), with increasing focus on side-channel attack resistance and hardware-software co-design for real-world applications including automotive systems and smart homes. Scientific Recognition: Natural Sciences and Engineering Research Council (NSERC) Canada Graduate Scholarship-Doctoral (2011-2015) Best Presenter Award, IEEE CCWC 2023 Best Paper Award, IEEE CCWC 2021 Outstanding Faculty Publication Award, CSU Fresno (2019, 2020) Jamal Abdul Nassir Golden Medal Distinction Award (2002) Research Funding and Mentorship: Dr. El-Razouk secured a $378,002 Department of Defense grant (W911NF-21-1-0210) in 2021 for hardware security research. He teaches core courses including ECE 150 (Cloud and Cybersecurity) and ECE 156 (Cryptography), supervising senior design projects on topics like RFID security and temperature monitoring systems. As an IEEE and ASEE member, he actively contributes to conference program committees and journal reviews.