جست‌وجوی استاد و پژوهشگر

Fatemeh Ganjiمشاهده پروفایل

استادیار

• Hardware Security
• Cryptography
• Machine Learning
• +۳ مورد دیگر

Fatemeh Ganji is an Assistant Professor in the Department of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), with an affiliation to the Cybersecurity program. She holds a Ph.D. in Electrical Engineering from the Technical University of Berlin (2017), where she received the BIMoS Ph.D. Award and was nominated for the ACM Dissertation Award. Prior to WPI, she served as a Post Doctoral Associate at the University of Florida (2018–2020) and at Telecom Innovation Laboratories/Technical University of Berlin (2017–2020). Her research focuses on interdisciplinary approaches in hardware security, combining machine learning and cryptography to design and evaluate security-critical hardware systems. Key areas include physically unclonable functions (PUFs), side-channel analysis, and countermeasures against tampering and counterfeiting. Her work is funded by the European Union (Horizon 2020, FP7), German BMBF, NSF, and NIST. Ganji actively contributes to the academic community as a reviewer for IEEE and ACM journals and serves on technical program committees for CHES, FPL, DATE, and SPACE conferences. Her recent projects include developing AI-driven forensic analysis for PCB tamper detection, secure multiparty computation frameworks for chiplet systems, and open-source tools for implementation security testing. Her awards include the BIMoS Ph.D. Award 2018 and recognition from the Technical University of Berlin for her doctoral work on PUF learnability. She has also pioneered methods to detect recycled integrated circuits and enhance hardware trust through reverse engineering and machine learning.

• Cybersecurity
• Privacy-Preserving Computation
• Cryptography
• +۲ مورد دیگر

Dr. YANG Guomin is an Associate Professor of Computer Science at Singapore Management University's School of Computing and Information Systems, where he coordinates the BSc Cybersecurity Track. His research focuses on privacy-preserving cryptography, authentication systems, and secure IoT frameworks. Research spans cryptographic protocols for cloud security, blockchain applications, and federated learning with emphases on efficiency and practical implementation. Recent publications demonstrate innovations in threshold authentication, redactable blockchains, and privacy-aware communication protocols. Advisees include LI Huilin and WANG Jiaheng, with research projects examining hardware-enhanced encryption, biometric authentication policies, and space network security. Work consistently addresses tension between security guarantees and computational efficiency in distributed systems.

• Cybersecurity
• Networking
• Wireless Security
• +۶ مورد دیگر

Thaier Hayajneh , Ph.D., is a University Professor at Fordham University's Department of Computer and Information Sciences. He serves as Founder Director of the Fordham Center for Cybersecurity and Program Director for the MS in Cybersecurity program. Previously, he held academic roles at New York Institute of Technology and Hashemite University in Jordan. Specializes in cybersecurity, networking, and applied cryptography Focus areas include blockchain, IoT security, and wireless network vulnerabilities Active in NSF cybersecurity review panels and as a CAE reviewer for NSA Recipient of peer-review awards from Publons His research spans secure protocols for medical IoT systems, lightweight cryptographic algorithms, and smart contract implementations in healthcare. Publications in IEEE IoT Journal, IEEE Systems Journal, and Journals like Future Generation Computer Systems demonstrate his expertise in securing emerging technologies. Dr. Hayajneh has received research funding from federal agencies including NSA, Department of Defense, and NSF. He has published over 80 papers and maintains active editorial roles in prestigious journals. Scientific Awards: Peer-review awards from Publons

• Software Engineering
• Software Security
• Foundations of Program Analysis
• +۹ مورد دیگر

Marcel Böhme is a faculty member at the Max Planck Institute for Security and Privacy (MPI-SP) , leading the Software Security research group. His work focuses on foundational advancements in fuzzing , statistical program analysis, and scalable vulnerability discovery. Education: PhD from National University of Singapore (NUS) Research interests span: Statistical and causal frameworks for software testing Efficiency/Scalability of automated testing Fundamental limits of vulnerability detection Practical fuzzing technology (e.g., Entropic in LibFuzzer) Recent publications highlight trends in: Machine learning for security analysis Privacy-preserving statistical methods Future-proof security frameworks Protocol fuzzing with large language models Scientific accolades include: ERC Consolidator Grant (2024) NUS Outstanding Young Alumni Award (2022) ARC DECRA (2019) Multiple ACM Distinguished Paper Awards He serves as: Spokesperson for Research Group Leaders at Max Planck Society Guest Editor-in-Chief for ACM TOSEM PC Chair for ASE'25 and ISSTA'26

• Computer Science
• Electrical Engineering
• Machine Learning
• +۷ مورد دیگر

Andrew Ho is an active academic researcher with publications spanning computer science, electrical engineering, and interdisciplinary applications. His recent work focuses on hybridizable discontinuous Galerkin methods for plasma simulations (2024) and AI/LLM applications in scholarly knowledge organization. 2025: Project Alexandria (LLM for copyright-free knowledge) 2024: Hybridizable DG plasma methods, GPU-accelerated kinetic simulations 2023: Low-resource translation techniques 2022: Multimodal VR interfaces 2003-2006: High-speed serial link transceivers and radiography artifact detection His research interests include: Computer science applications in plasma physics and medical imaging LLM-based scholarly knowledge graphs and literature reviews High-speed communication systems Educational technology implementations Co-authors include Vladimir Stojanovic (Stanford, 2003-2005), Carl W. Werner (2003-2005), and Genia Vogman (GPU plasma simulations, 2024).

Henry Corrigan-Gibbsمشاهده پروفایل

استادیار

• Computer Security
• Cryptography
• Computer Systems
• +۵ مورد دیگر

Henry Corrigan-Gibbs is an Assistant Professor at the Massachusetts Institute of Technology (MIT) in the Department of Electrical Engineering and Computer Science. He is affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL) and collaborates with the PDOS and CSS research groups. Henry co-hosts the MIT Security Seminar series. Education : PhD in Computer Science from Stanford University (advisor: Dan Boneh), Postdoc at École polytechnique fédérale de Lausanne (EPFL) (host: Bryan Ford), and B.S. in Computer Science from Yale University . Research Interests Henry focuses on computer security , cryptography , and systems research , building technologies that: Empower end users through privacy-preserving design Implement strong cryptographic security in real-world deployments Scale to millions of users while maintaining security Key projects include: Tiptoe for private web search Prio for privacy-preserving aggregate statistics used by Apple and Google Express for metadata-hiding communication SafetyPin and True2F for secure authentication Scientific Contributions Standards Influence : IETF and NIST standards recommend his private-aggregation systems Industry Impact : Deployed in Apple iOS , Google Android , and Mozilla Firefox Non-profit Deployment : Co-founder of Divvi Up for real-world Prio implementations Academic Recognition 2023 MIT EECS Jerome Saltzer Award for teaching excellence 2020 ACM Doctoral Dissertation Honorable Mention 2016 Caspar Bowden Award for PET research 2015 IEEE Security & Privacy Distinguished Paper Award Multiple IACR Best Young Researcher Paper Awards (2015–2018) Advising and Collaborations Current advisees include: PhD students: Alexandra Henzinger , Ryan Lehmkuhl Postdoc: Emma Dauterman Collaborates with industry (Apple, Google, Mozilla) and standards bodies (IETF, NIST) to translate research into practice.

• Cryptography
• Cybersecurity
• Authentication Protocols
• +۵ مورد دیگر

Zheng Yang is a Professor at Tsinghua University's School of Software, with significant research contributions in cryptography, cybersecurity, and privacy-preserving systems. His work spans multiple institutions including collaborations with University of Helsinki's Secure System Group and Chongqing University of Technology. He maintains active research in both theoretical and applied security domains, with particular focus on industrial applications. Professor Yang's research interests center on cryptographic protocols, authentication mechanisms, and security for emerging technologies. His work addresses critical challenges in Cyber-Physical Systems security, Industrial Internet of Things protection, and privacy-preserving computation. He has made significant contributions to secure key exchange protocols, authentication systems, and defenses against sophisticated network attacks including DDoS mitigation strategies. His research bridges theoretical cryptography with practical implementations for resource-constrained environments. Analysis of Professor Yang's recent publications reveals a strong trend toward practical security solutions for industrial and embedded systems. His work increasingly focuses on balancing security with performance constraints in Cyber-Physical Systems and Industrial IoT environments. Key research themes include lightweight cryptography for resource-constrained devices, privacy-preserving location services, and novel authentication mechanisms that maintain security while minimizing computational overhead. His publications demonstrate consistent innovation in adapting cryptographic techniques to real-world security challenges. Professor Yang has established himself as a leading researcher through his extensive publication record in top security venues including IEEE Security & Privacy, USENIX Security, and ACM conferences. His work has been published consistently in high-impact journals and conferences, demonstrating sustained research productivity and influence in the security community. Professor Yang maintains active research collaborations with numerous institutions globally, evidenced by his extensive co-authorship network. His research has attracted significant funding for projects addressing critical security challenges in emerging technologies. His work on secure authentication protocols and privacy-preserving systems has practical applications across multiple industry sectors. Professor Yang leads research initiatives focused on secure Cyber-Physical Systems and Industrial IoT security. His laboratory work emphasizes practical implementations of cryptographic protocols for real-world systems, with particular attention to performance constraints in embedded environments. Current research directions include secure communication for programmable logic controllers, privacy-preserving location services, and adaptive defenses against sophisticated network attacks.

• Cryptography
• Computer Security
• Information Security
• +۴ مورد دیگر

Hongjun Wu is an Associate Professor at the Division of Mathematical Sciences, School of Physical & Mathematical Sciences, Nanyang Technological University, Singapore. His research focuses on Cryptography and Computer Security , with contributions to authenticated encryption, stream ciphers, hash functions, and cryptographic vulnerabilities. Doctor of Engineering (2005-2008), Electrical Engineering, Katholieke Universiteit Leuven Master of Engineering (1998-2000) & Bachelor of Engineering (1994-1998), Electrical Engineering, National University of Singapore Research spans Lightweight Cryptography (TinyJAMBU finalist 2021), Authenticated Encryption (CAESAR winners ACORN/AEGIS), Hash Function Design (JH finalist in SHA-3), and Stream Cipher Development (HC-128 in eSTREAM). He has advised PhD students Huang Tao, Ivan Tjuawinata, Yu Haiwan, and Master students Peng Lunan. Former team members include Tao Biaoshuai, Wei Lei, and Yosua Michael Maranatha. Key publications include work on AES biclique attacks (2015), ICEPOLE differential-linear analysis (2015), Microsoft Office encryption flaws (2005), and CAESAR/AEGIS (2013-2015). Awards: Finalist, NIST Lightweight Competition (2021) CAESAR Competition Winner (2019) SHA-3 Finalist (2011) eSTREAM Selection (2008) He leads the JH Hash Function and TinyJAMBU projects, with hardware/software implementations and active participation in cryptographic standards development. His work involves security analysis of Microsoft Office encryption (2005) and advisories on Adobe Reader vulnerabilities (CVE-2014-0522 to CVE-2014-9165).

• Cryptography
• Post-quantum cryptography
• Cryptographic engineering
• +۴ مورد دیگر

Peter Schwabe is a scientific director at the Max Planck Institute for Security and Privacy and holds academic positions as a part-time professor for cryptographic engineering in the Digital Security Group at Radboud University, Faculty of Science, and as an adjunct professor in the Faculty of Computer Science at Ruhr University Bochum. His career spans multiple prestigious institutions including Academia Sinica and National Taiwan University. Dr. Schwabe's research focuses on cryptography, particularly post-quantum cryptography, cryptographic engineering, and implementation security. His work addresses critical challenges in secure cryptographic implementations, side-channel resistance, and the transition to quantum-resistant algorithms. He has made significant contributions to NIST's post-quantum cryptography standardization project, particularly with CRYSTALS-Kyber which was selected for standardization in July 2022. His publication record shows a strong emphasis on practical implementations of cryptographic algorithms, formal verification of security properties, and addressing real-world security challenges. Recent work centers on verifying Kyber implementations, protecting against Spectre variants, and developing high-assurance cryptographic software. Dr. Schwabe has received significant recognition in the field, serving as an elected member of the IACR Board of Directors and participating in various steering committees including the IACR CHES and RWC Steering Committees. He also serves on advisory boards for several security-focused companies. As an advisor, he has supervised numerous PhD students working on cutting-edge cryptographic research, with recent graduates focusing on post-quantum cryptography, side-channel resistance, and formal verification of cryptographic implementations. His research group actively contributes to both theoretical advances and practical implementations in cryptography.

J. Alex Haldermanمشاهده پروفایل

استاد

• Computer Security
• Privacy
• Election Cybersecurity
• +۶ مورد دیگر

J. Alex Halderman is the Bredt Family Professor of Computer Science & Engineering at the University of Michigan, directing both the Center for Computer Security and Society and the Michigan CSE Systems Lab. His work critically examines the societal impacts of security and privacy technologies through empirical research and policy engagement. Halderman's research spans computer security and privacy with emphasis on election integrity, censorship resistance, and the intersection of technology with law and policy. He investigates real-world vulnerabilities in systems ranging from voting infrastructure to encrypted communications, prioritizing measurable societal impact through forensic analysis and large-scale measurement studies. His publication record demonstrates consistent focus on high-stakes security challenges, particularly in democratic processes and user privacy. Notable contributions include internet-wide scanning tools (ZMap), forensic investigations of election systems, and foundational work on cryptographic vulnerabilities affecting global infrastructure. Scientific recognitions include: USENIX Security Best Paper Award (2024) USENIX Security Best Paper Award (2022) USENIX Security Best Paper Award and Internet Defense Prize (2022) IEEE Symposium on Security and Privacy Best Student Paper Award (2020) Pwnie Award for Best Crypto Attack (2016) ACM CCS Best Paper Award (2015) ACM IMC Applied Networking Research Prize (2015) ACM IMC Best Paper Award (2014) USENIX Security Best Paper Award and Test of Time Award (2012) USENIX Security PET Award Runner-up (2011) USENIX Security Best Student Paper Award (2008) Halderman advises a dynamic research group including current members Braden Crimmins, Erik Chi, and Dhanya Narayanan, with over two dozen alumni who have advanced the field. His leadership extends to developing practical security solutions like Let's Encrypt and conducting court-admissible forensic analyses of election systems. He directs the Michigan CSE Systems Lab, which pioneers research in computer systems security, and the Center for Computer Security and Society, which bridges technical research with policy impact through cross-disciplinary collaboration.

• Quantum Information Science
• Quantum Communication Theory
• Theoretical Quantum Cryptography
• +۳ مورد دیگر

Mario Berta is a Professor of Physics at RWTH Aachen University’s Institute for Quantum Information, with an honorary Visiting Reader position at Imperial College London’s Department of Computing. His research focuses on mathematical aspects of quantum information science, including quantum communication theory, cryptography, and algorithms. He leads a group funded by the ERC Starting Grant QEntropy, exploring entropy’s role in quantum information. He actively recruits PhD/postdoc researchers and organizes workshops like the Mathematics of Quantum Information conference at RWTH Aachen and Beyond IID 13 in Munich. Education: PhD in Theoretical Physics from ETH Zurich. Prior roles include Senior Research Scientist at Amazon Web Services’ quantum computing division and Postdoctoral Researcher at Caltech’s IQIM. He has pioneered quantum Gibbs sampling algorithms for the Fermi-Hubbard model and contributed to quantum error correction and complexity theory. His work bridges theoretical foundations with practical implementations, emphasizing resource analysis and algorithm optimization. Research interests span quantum algorithms’ computational complexity, entanglement theory, and information-theoretic security. He explores topics like quantum channel coding, hypothesis testing, and distributed quantum protocols under communication constraints. His group’s activities include organizing international workshops and collaborations with institutions like ML4Q and EPSRC. Funding sources include the European Research Council, RWTH’s Exploratory Research Space, and the EPSRC. He advocates for open-access science, as seen in his German-language article Algorithmen für neue Hardware . His work aims to advance quantum technologies through rigorous mathematical frameworks and experimental feasibility analysis.

Berk Sunarمشاهده پروفایل

استاد

• Applied Cryptography
• Cybersecurity
• Microarchitectural Security
• +۵ مورد دیگر

Berk Sunar is a Professor of Electrical & Computer Engineering and the founder of the Vernam Applied Cryptography and Cybersecurity Laboratory at Worcester Polytechnic Institute (WPI). He joined WPI in 2000 after holding postdoctoral and research roles at Oregon State University (OSU) and Trust Inc. His work focuses on applied cryptography, microarchitectural security, AI security, post-quantum cryptography, and homomorphic encryption. Sunar received his BSc from Middle East Technical University (1995) and PhD from Oregon State University (1998). Research interests include vulnerabilities in hardware (e.g., Rowhammer, TPM-FAIL), side-channel attacks, and cryptographic implementations. Notable contributions include discovering flaws in Intel CPUs and TPM chips affecting billions of devices, as well as developing defenses like cuHE (GPU-accelerated homomorphic encryption). Publications highlight breakthroughs in transient execution attacks (e.g., LVI, RIDL), post-quantum signature schemes (Dilithium), and cloud security (Firecracker VMM vulnerabilities). Awards include NSF CAREER (2002) and IBM Pat Goldberg Best Paper (2007). Advised over 30 graduate students, many of whom hold senior roles in academia and industry. Current research addresses AI security, quantum-resistant algorithms, and automated attack detection via machine learning. The Vernam Lab remains a hub for cybersecurity innovation.

Stefan Wildermannمشاهده پروفایل

استاد

• Reconfigurable Systems
• Edge Computing
• Organic Computing
• +۷ مورد دیگر

Stefan Wildermann is a Professor at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), where he leads the Reconfigurable Computing Group within the Chair of Computer Science 12 (Hardware-Software Co-Design) in the Department of Computer Science. He has maintained continuous research activity at FAU since 2006, progressing from researcher to his current leadership position. Dr. Wildermann earned his Diploma degree in Computer Science from FAU in 2006 and completed his doctorate (Dr.-Ing.) in Computer Science at the same institution in July 2012. His academic career has been entirely rooted at FAU, demonstrating a strong institutional commitment and progression through the ranks. His research spans multiple cutting-edge areas in computer science and engineering, with particular emphasis on reconfigurable systems and hardware-software co-design. Wildermann's work in edge computing explores efficient processing at the network periphery, while his research in organic computing investigates self-organizing systems that can adapt to changing environments. His expertise extends to optimization techniques for embedded systems, applying game theory principles and convex optimization methods to solve complex resource allocation problems. More recently, he has integrated reinforcement learning approaches to enhance system adaptability and performance. His teaching portfolio includes courses on event-driven systems, computer engineering fundamentals, embedded systems, and hardware-software co-design. Analysis of Wildermann's publication record from 2021-2025 reveals a strong focus on hardware acceleration, security, and embedded systems. His work demonstrates consistent evolution from foundational research in reconfigurable architectures toward practical applications in IoT, robotics, and secure computing. A significant portion of his recent work addresses near-data processing using FPGAs for database acceleration, while maintaining parallel research streams in side-channel security analysis and energy-efficient embedded systems design. His publications frequently appear in top-tier conferences including DATE, FPL, ASP-DAC, and HOST, reflecting strong recognition within the computer architecture and embedded systems communities. Wildermann has held significant leadership roles including Head of the Reconfigurable Computing Group since 2015 and previously served as Head of the Self-organizing Systems Group (2012-2015) and Lab Leader of the Automotive Lab within the Embedded Systems Initiative (2016-2020). His research has been consistently funded through multiple projects investigating invasive computing, reconfigurable architectures, and embedded systems design methodologies. Currently based in Room 02.116 at Cauerstr. 11, 91058 Erlangen, Wildermann continues to lead active research in the Hardware-Software Co-Design group, supervising projects that bridge theoretical computer science with practical hardware implementation challenges.

• Embedded Systems
• Compilers
• Hardware-Software Co-Design
• +۵ مورد دیگر

Prof. Dr. rer. nat. Rainer Leupers is a faculty member at RWTH Aachen University, chairing the Department of Software for Systems on Silicon. His research focuses on embedded systems, hardware-software co-design, virtual prototyping, and security in computing-in-memory architectures. He has published extensively on RRAM accelerators, logic locking, and neuromorphic security. Chair of Software for Systems on Silicon Research in hardware security and deep learning accelerators Recent publications on cross-tool virtual frameworks and thermal side-channel attacks His work bridges system-level modeling with practical security implementations, emphasizing reliability and performance in heterogeneous computing environments. Key trends in his 2025-2023 articles include compute-in-memory optimization, neural network inference efficiency, and security vulnerabilities in emerging hardware. Awards and formal recognitions are not explicitly detailed in the provided materials. He has not directly mentioned advising students or research grants in the given text fragments. The chair's contact information includes an office at ICT Cube 1, Electrical Engineering, Aachen, with direct email and website links.

Nirvan Tyagiمشاهده پروفایل

استادیار

• Cryptography
• Security & Privacy
• Human-Centered Computing
• +۵ مورد دیگر

Nirvan Tyagi is an Assistant Professor at the University of Washington's Paul G. Allen School of Computer Science & Engineering, specializing in Human-Centered Computing and Software & Hardware Systems. His research focuses on cryptography, security, and privacy, with particular emphasis on building systems that provide users with precise privacy and security guarantees while enabling accountability mechanisms to counter abuse. Dr. Tyagi's research interests span cryptographic protocols that balance user privacy with necessary accountability in online systems. His work explores the tension between sender anonymity and abuse mitigation in encrypted messaging, develops novel verifiable registries using RSA authenticated dictionaries, and creates systems for distributed randomness generation. He is particularly interested in how cryptography can enable new balances between user privacy and user accountability, believing that users should enjoy strong privacy while bad actors can be held accountable for misbehavior. His publications reveal a strong trend toward developing practical cryptographic systems that solve real-world problems in privacy and security. Recent work has focused on zero-knowledge proofs, verifiable computation, and privacy-preserving protocols for distributed systems. His research consistently bridges theoretical cryptography with practical system implementations, as evidenced by the availability of code repositories for many of his publications. Early Career Award (CRYPTO 2020) Dr. Tyagi leads research in the Cryptography Group and Security & Privacy Research Lab at the University of Washington. His work has been published in top-tier venues including CRYPTO, CCS, USENIX Security, and SOSP, demonstrating both theoretical rigor and practical impact. His research has direct applications to real-world systems like encrypted messaging platforms and distributed ledgers.