Find Academic Supervisors

• Hardware Security
• Cryptography
• Side-Channel Attacks
• +3 more

Elena Dubrova is a Professor at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology. She specializes in hardware security, cryptography, and embedded systems security. Her roles include examiner and course responsible for advanced degree projects in Computer Engineering, Communication Systems, Embedded Systems, and Machine Learning. She also teaches courses such as Design of Fault-Tolerant Systems, Hardware Security, and Internet Security and Privacy. Her research focuses on side-channel attacks, cryptographic algorithm vulnerabilities, and FPGA security. Notable work includes analyzing hardware security flaws in cryptographic implementations (e.g., CRYSTALS-Kyber, AES), RF signal leakage in chips, and mitigating threats in FPGA-based systems. Her contributions span both theoretical advancements and practical countermeasure development. Dr. Dubrova’s articles highlight trends in post-quantum cryptography vulnerabilities, machine learning-assisted security analysis, and the integration of physical unclonable functions (PUFs) for secure authentication. She emphasizes hardware-software co-design for robust security solutions. No scientific awards are explicitly listed in the provided information. Her work involves collaborative projects on cryptographic protocol design and secure embedded system architecture, though specific grants or lab affiliations are not detailed here.

Ryan RobucciView profile

Associate Professor

• Hardware Security
• Analog and Mixed-Signal VLSI
• CMOS Image Sensors
• +7 more

Dr. Ryan Robucci is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County (UMBC). He holds a Ph.D. from Georgia Institute of Technology (2009) and a B.S. from UMBC (2002). His research focuses on analog/mixed-signal VLSI, hardware security, embedded systems, and biologically-inspired systems. Key areas include side-channel attack mitigation, low-power wearable devices, and FPGA-driven embedded systems. Education: Ph.D. in Electrical and Computer Engineering, Georgia Tech, 2009 M.S.E.E., Georgia Tech, 2004 B.S. in Computer Engineering, UMBC, 2002 Research Interests: Hardware Security: Side-channel resistance, PUFs, and IC fraud detection Analog/Digital Hybrid Systems: Low-power sensors and reconfigurable circuits Embedded Systems: Wearable health monitoring and FPGA design His publications span hardware security, sensor networks, and embedded systems. He leads the Covail Lab, exploring ultra-low-power analog-digital systems and assistive technologies. Teaching includes courses on digital signal processing, FPGA design, and embedded systems.

• Secure Computation
• Privacy-Preserving Machine Learning
• Homomorphic Encryption
• +4 more

M. Sadegh Riazi is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, San Diego's Jacobs School of Engineering. He completed his PhD at UCSD in 2020 with a dissertation titled 'Towards A Private New World: Algorithm, Protocol, and Hardware Co-Design for Large-Scale Secure Computation.' Dr. Riazi's research focuses on the critical intersection of cryptography, machine learning, and hardware security, with particular emphasis on making secure computation practical for real-world applications. His work spans secure multi-party computation, homomorphic encryption, privacy-preserving machine learning, and hardware acceleration for cryptographic protocols. He has made significant contributions to optimizing secure computation frameworks for deep learning applications, developing techniques that balance security guarantees with computational efficiency. His publication record shows a clear progression from foundational secure computation techniques to increasingly sophisticated applications in privacy-preserving AI. Notably, his work on HEAX (Homomorphic Encryption Acceleration) and XONN (XNOR-based Oblivious Neural Network) demonstrates practical approaches to making encrypted deep learning feasible. The research trends in his publications indicate a consistent focus on bridging theoretical cryptographic security with practical system implementations. Dr. Riazi has established a strong collaborative network, most prominently with Professor Farinaz Koushanfar's research group at UCSD, with whom he has co-authored numerous papers across multiple domains including biometric security, secure hardware design, and privacy-preserving machine learning. His research has been published in top-tier venues including IEEE Security & Privacy, USENIX Security, ASPLOS, and CCS, reflecting the high impact and quality of his work in both the security and systems communities.

Reinhard RauscherView profile

Professor

• Computer Science
• Digital Systems Design
• VLSI Design
• +3 more

Prof. Dr. habil. Reinhard Rauscher is a retired professor at the Osnabrück University of Applied Sciences, affiliated with the Faculty of Management, Culture and Technology. He holds a Diplom in Informatics from the Christian-Albrechts-Universität Kiel (1982), a PhD in Computer Science from the University of Hamburg (1987), and a habilitation in Computer Science focusing on 'Design and Methodology of Application-Specific Digital Systems' (1998). His teaching responsibilities include courses such as Algorithms, Programming, and Databases. Research Interests: His work spans digital system design, VLSI architecture, CAD tools for hardware design, microprogramming optimization, and real-time image processing ASICs. Notable contributions include methodologies for microcode transformation verification, CAD systems for digital circuit design, and research on numerical stability in systolic arrays. Publications: Over 30 peer-reviewed papers in conferences like EUROMICRO, CONPAR, and journals such as Microprocessing and Microprogramming. His research emphasizes practical applications of theoretical computer science in hardware-software co-design. Grants & Labs: Involved in projects like CAMILOD (correctness-proven hardware design), BOSSDIS (automated hardware description transformation), and collaborations on ASIC development for image processing and SCHEME coprocessors. His work integrates algorithmic theory with embedded system implementation challenges.

• Cryptography
• Public-Key Cryptography
• Post-Quantum Cryptography
• +3 more

Eike Kiltz is a Professor at Ruhr University Bochum and a Max Planck Fellow at the Max Planck Institute for Security (MPI-SP), appointed in January 2025. His primary affiliation is the Chair of Cryptography at Ruhr University Bochum. He focuses on foundational cryptographic research with practical applications, particularly in public-key cryptography and post-quantum security. His work addresses the threat of quantum computers to current encryption methods, contributing to NIST’s standardization efforts for quantum-resistant schemes. Key achievements include the 2024 Gottfried Wilhelm Leibniz Prize for pioneering contributions to cryptography. He collaborates with MPI-SP’s Peter Schwabe to develop post-quantum cryptographic protocols, supported by the Max Planck Fellowship, which allows him to establish a research group at MPI-SP for five years. Research emphasizes bridging theoretical advancements with real-world implementations, addressing both academic and industrial security challenges.

• Cryptography
• Post-Quantum Cryptography
• Cryptographic Engineering
• +4 more

Peter Schwabe is a scientific director at the Max Planck Institute for Security and Privacy (MPI-SP) and a part-time professor in the Digital Security Group at Radboud University, Nijmegen, The Netherlands. His primary research focuses on cryptographic engineering, particularly post-quantum cryptography, secure cryptographic implementations, and high-assurance systems. He holds a PhD from Eindhoven University of Technology (2011) and a Diplom in Computer Science from RWTH Aachen University (2006). His work includes leading projects like the ERC-funded EPOQUE project, which engineered post-quantum cryptographic standards. He contributed to NIST’s post-quantum cryptography standardization efforts, notably as a core developer of CRYSTALS-Kyber and CRYSTALS-Dilithium. His research spans lattice-based cryptography, code-based cryptography, and formal verification of cryptographic software. Publications highlight advancements in secure implementations against side-channel and speculative execution attacks, high-assurance cryptographic libraries (e.g., EasyCrypt), and practical post-quantum TLS protocols. Key contributions include optimizing cryptographic algorithms for embedded systems (ARM Cortex-M) and formal verification of KEMs like ML-KEM. Scientific awards include an ERC Starting Grant (2018). He advises numerous PhD students and collaborates with industry and academia on cryptographic standards and security. His labs focus on cryptographic engineering, with teams advancing both theoretical and applied aspects of post-quantum security.

• Cryptographic Hardware Design
• Homomorphic Encryption
• Approximate Computing
• +4 more

Dr. Sunwoong 'Sunny' Kim is an Assistant Professor at the Rochester Institute of Technology (RIT), affiliated with the Kate Gleason College of Engineering and the Global Cybersecurity Institute. Previously, he held roles at the University of Washington Bothell (2019–2023) and completed postdoctoral research at the University of Illinois Urbana-Champaign (2017–2019) and Seoul National University (2016–2017). His expertise spans cryptographic hardware design, homomorphic encryption, and privacy-preserving systems, with a focus on FPGA-based accelerators. Education: Ph.D. (2016), M.S. (2012), B.S. (2010) in Electrical Engineering and Computer Science from Seoul National University, advised by Prof. Hyuk-Jae Lee. Research interests include custom hardware accelerators for cryptography, machine learning, and image/video compression. He explores approximate computing and privacy-preserving applications in embedded systems. Recent trends in his articles emphasize homomorphic encryption implementations, efficient cryptographic primitives, and FPGA-based solutions for secure computing. Scientific Awards: NSF CRII Grant (2021), RIT SURF (2024), RIT FEAD (2024), UW RRF Grant (2020), and multiple student scholarships. Advising & Grants: Supervised students including Wei He, Grant Bosworth, and James. Active in securing grants as PI/Co-PI (e.g., IITP Grant, FEAD Grant). Collaborates with labs like CryptoLab in South Korea. Labs/Teams: Leads research in cryptographic hardware acceleration and cybersecurity at RIT, with collaborations on FPGA-based secure systems and privacy-preserving AI.

• Quantum Technologies
• Quantum Imaging
• Photonics
• +4 more

Dr. Jorge Fuenzalida is a Postdoctoral Researcher at the Optoelectronics Department of ICFO-The Institute of Photonic Sciences. He holds a PhD in Physics from the University of Vienna (AT). His research focuses on quantum imaging, entanglement-based technologies, and nonlinear optical systems, particularly in detector-free imaging and quantum holography. He explores applications in quantum communication, sensing, and microscopy, leveraging photon-pair generation and parametric down-conversion techniques. His work includes developing novel quantum imaging techniques using undetected photons and studying entanglement distribution through optical fibers. Key research directions involve optimizing photon sources for telecommunication wavelengths and advancing space-division multiplexed quantum cryptography. Publications from 2022 to 2025 reveal a strong focus on quantum holography, parametric down-conversion systems, and resolution limits in quantum imaging. These studies contribute to foundational advancements in quantum technologies and their practical implementations. No academic awards or grants are explicitly mentioned in the provided texts. His advising record remains unspecified. He is affiliated with the Optoelectronics group at ICFO, contributing to experimental setups involving multicore fibers, beam displacers, and thin crystals to advance quantum imaging and photonics applications.

• Quantum Computation
• Quantum Information Theory
• Entanglement and Cryptography
• +4 more

Isaac L. Chuang is a Professor of Physics and Professor of Electrical Engineering and Computer Science (EECS) at MIT. He is a principal investigator at the Research Laboratory of Electronics (RLE), recognized for pioneering quantum computing work at IBM's Almaden Research Center. His research focuses on quantum computation, information theory, and cryptographic systems, with contributions to silicon biology and spin detection. Education: B.S. and M.S. in Electrical Engineering and Physics from MIT (1990), Ph.D. in Electrical Engineering from Stanford University (1997). Postdoctoral fellowships at UC Berkeley and Los Alamos National Laboratory preceded his roles at IBM and MIT. Research interests include large-scale quantum computers, entanglement applications, and quantum-inspired classical systems. His 2000 textbook Quantum Computation and Quantum Information (with Michael A. Nielsen) is foundational in the field. Notable awards include being named one of the '100 Most Promising Inventors' by Technology Review (1999) and election as a Fellow of the American Physical Society (2010). Recent collaborations include MIT's National Quantum Information Science Research Centers (2020) and the Center for Ultracold Atoms (2023). He leads the Quanta Research Group and has co-authored influential papers on Hamiltonian simulation and quantum cryptography.

Dirk SlockView profile

Professor

• Wireless Communications
• Signal Processing
• MIMO Systems
• +6 more

Dirk Slock is a Professor at EURECOM's Communication Systems department. His research focuses on advanced signal processing for wireless communications, including transmitter/receiver design for 4G/5G systems, Massive MIMO, stochastic geometry, and audio signal processing. He has contributed to areas like interference management, compressive sensing, and Bayesian methods. Slock teaches courses on statistical signal processing and wireless communication techniques. His notable awards include IEEE Fellow (2006) and EURASIP Fellow (2015). Collaborations with students like Christo Kurisummoottil Thomas have yielded Best Student Paper Awards at SPAWC 2018. His work addresses challenges in cell-free MIMO, semi-blind channel estimation, and secure communication systems. Recent research trends explore ultra-massive MIMO signal detection, dynamic channel prediction with tensor methods, and cell-free network optimization. His publications span 639 entries, emphasizing practical implementations of theoretical signal processing advancements.

Stephen FarrellView profile

Research Fellow

• Security
• Delay Tolerant Networking
• Cryptography
• +5 more

Stephen Farrell is a Research Fellow at Trinity College Dublin's Computer Science Department within the School of Computer Science and Statistics. He is a member of the Distributed Systems Group (DSG) and has been actively contributing to Internet security research and standardization since the 1980s. His work bridges academic research, practical implementation, and Internet governance through leadership roles in major standardization bodies. Farrell earned his PhD from Trinity College Dublin in 2008 with a dissertation on delay-tolerant networking protocols, following a Joint Honours degree in Mathematics and Computer Science from University College Dublin in 1986. His educational background established the foundation for his interdisciplinary approach to network security problems. His research focuses on Internet security architecture, with particular expertise in cryptographic protocols, Public Key Infrastructure, and delay-tolerant networking for challenged environments. A significant portion of his recent work has addressed privacy-preserving technologies, especially related to pandemic response systems. Farrell approaches security with a pragmatic perspective that prioritizes real-world deployment even when purity must be compromised for practicality. His publication record shows a consistent trajectory from foundational security work to applied research addressing contemporary challenges. The most recent publications demonstrate his ability to pivot research focus to address urgent societal needs, as evidenced by his rapid response to the pandemic with the TACT project analyzing contact tracing technologies. Co-author of RFC 7258 'Pervasive Monitoring is an Attack' that fundamentally shifted Internet security priorities Former IETF Security Area Director (2011-2017) overseeing numerous security standards Member of the Internet Architecture Board (2019-2021) Editorial Board Member of IEEE Internet Computing magazine Expert Advisor to Messaging, Malware and Mobile Anti-Abuse Working Group Farrell supervises graduate students, having mentored approximately ten MSc dissertations plus a PhD (Alex McMahon) and MSc by Research (Aidan Lynch). His grant portfolio includes EU-funded projects like STREWS, N4C, and SAIL, as well as funding from organizations like the Open Technology Fund. He has maintained consistent external funding throughout his academic career, often bridging the gap between research and practical implementation. As co-chair of multiple IETF working groups (including OpenPGP and LAKE) and the IRTF's Usable Formal Methods Research Group, Farrell plays a significant role in shaping Internet standards. His leadership in the TACT project during the pandemic demonstrated his ability to rapidly mobilize research efforts to address urgent public health needs through the Testing Apps for COVID-19 Tracing initiative.

Farinaz KoushanfarView profile

Professor

• Hardware Security
• Integrated Circuit Security
• Physical Unclonable Functions
• +5 more

Farinaz Koushanfar is a Professor in the Electrical Engineering and Computer Science department at the University of Michigan's College of Engineering. With an impressive h-index of 65 and over 27,000 citations, she has established herself as a leading researcher in hardware security and privacy-preserving computing. Her research interests span hardware security, integrated circuit protection, physical unclonable functions, hardware trojans, logic locking, and privacy-preserving machine learning. Koushanfar's work addresses critical security challenges throughout the semiconductor supply chain, developing innovative solutions for IP protection, anti-counterfeiting, and secure hardware design. Analysis of her recent publications reveals a strong focus on the intersection of hardware security and machine learning, particularly in federated learning security and privacy-preserving deep neural network inference. Her research shows a clear trajectory from foundational hardware security mechanisms toward more complex systems-level security challenges in emerging computing paradigms. Throughout her career, Koushanfar has made significant contributions to both theoretical frameworks and practical implementations in hardware security, with numerous highly influential publications that have shaped the field.

Wenhai SunView profile

Assistant Professor

• Privacy-enhancing Technologies
• Blockchain
• AI/ML for Security
• +5 more

Wenhai Sun is an Assistant Professor in the Department of Computer and Information Technology at Purdue University, affiliated with the Applied AI Research Center (AARC), CERIAS, and the Institute of Control, Optimization and Networks (ICON). He holds dual PhDs in Computer Science from Virginia Tech and Telecommunications Engineering from Xidian University. His research focuses on secure and privacy-preserving networked systems, leveraging AI/ML, cryptography, and trusted hardware. He has published widely in top venues like USENIX Security, NeurIPS, and IEEE journals. Dr. Sun's honors include the NSF CAREER Award (2023) and the Distinguished Paper Award at ACM ASIACCS 2013. He serves as an Associate Editor for IEEE Transactions on Dependable and Secure Computing and IEEE Transactions on Information Forensics & Security. He is a Senior Member of IEEE and ACM. His research grants include projects on local differential privacy frameworks and blockchain implementations. He explores privacy-enhancing technologies, blockchain applications, and AI-driven security solutions. His work addresses challenges in data privacy, adversarial machine learning, and secure distributed systems. Recent research directions include secure IoT data markets, resilient blockchain consensus mechanisms, and explainable AI for reinforcement learning systems. His work emphasizes real-world applicability, such as smart grid privacy and device authentication using respiratory patterns.

• Cryptography
• Post-Quantum Security
• Privacy-Preserving Protocols
• +2 more

Khoa Nguyen is a Senior Lecturer in the School of Computing and Information Technology at University of Wollongong, specializing in cryptography and information security. His research develops privacy-preserving and quantum-resistant cryptographic protocols. Current work focuses on lattice-based constructions for secure authentication systems, including novel signature schemes with enhanced privacy features. He has industry experience in implementing production ML systems and cloud-based security platforms. He serves as Workshop Chair for AsiaCCS 2025 and Program Co-Chair for ACISP 2022. Research grants include funding for lattice-based privacy technologies.

Atefeh MashatanView profile

Associate Professor

• Cybersecurity
• Blockchain Technology
• Quantum-Resistant Solutions
• +6 more

Dr. Atefeh Mashatan is an Associate Professor and Canada Research Chair (Tier II) in Quality of Security (QoS) Framework for IoT at Toronto Metropolitan University (TMU). As the founding director of the Cybersecurity Research Lab (CRL), her research focuses on IoT security, quantum-resistant solutions, and blockchain technology. She holds a PhD in Mathematics from the University of Waterloo and is certified in CISSP and SOA. Her work bridges academia, industry, and policy, addressing cybersecurity challenges in emerging technologies. Education: PhD in Mathematics, University of Waterloo MMath, University of Waterloo BMath, Carleton University Certificate in University Teaching, University of Waterloo Research Interests: Dr. Mashatan’s research includes IoT security, cryptography, post-quantum cryptography, blockchain, and privacy-preserving technologies. Her CRC program targets enhancing security quality in IoT devices under contextual constraints. Articles Trends: Her publications span cybersecurity frameworks, quantum threats, blockchain applications, and privacy solutions. Recent work addresses IoT encryption, zero-trust models, and quantum-resistant protocols. Subfields include supply chain finance, medical IoT security, and adversarial quantum communication. Awards: Top 25 Women of Influence (2024) Canada Research Chair (2021) SC Magazine’s Top 5 Women of Influence (2019) Grants & Teams: She leads over $98M in grants, including the Canada First Research Excellence Fund and SSHRC Partnership. Collaborates with Compute Ontario, Rogers Cybersecure Catalyst, and Mastercard’s ELCI initiative. Supervises research in labs like CRL and contributes to the National Quantum Advisory Council. Labs/Teams: Heads the Cybersecurity Research Lab (CRL) and participates in initiatives like the Human Centered Cybersecurity Partnership (HC²P) and Quantum-Resistant Threat Analysis.