جست‌وجوی استاد و پژوهشگر

Giuseppe Iannacconeمشاهده پروفایل

استاد

• Quantum Electronics
• Neuromorphic Computing
• 2D Materials
• +۵ مورد دیگر

Giuseppe Iannaccone is a full Professor at the University of Pisa , Department of Information Engineering. His research focuses on quantum electronics , neuromorphic computing , and 2D materials for advanced applications in analog circuits and high-temperature electronics. Lead researcher in QUEPE Quantum Engineering and QUEFORMAL projects Pioneer in neuromorphic chip design using silicon and 2D materials Active in developing high-temperature integrated circuits for industrial applications His recent work explores twisted transition metal dichalcogenides for spintronics, inkjet-printed 2D electronics on paper substrates, and wireless power transfer systems for medical devices. The Google Scholar articles show consistent contributions to analog neuromorphic engines , quantum transport modeling , and steep-slope transistor architectures . Collaborations include Gianluca Fiori and Benjamin Zambrano in neuromorphic hardware development. He actively promotes student well-being through institutional initiatives like the Ufficio Benessere at University of Pisa and has taught RFID and IoT courses for PhD students. Current research integrates MoS2/graphene heterostructures and van der Waals junctions for next-generation electronics.

Mohammed Niamatمشاهده پروفایل

استاد

• Hardware Security
• FPGA Design
• Quantum-Dot Cellular Automata (QCA)
• +۴ مورد دیگر

Dr. Mohammed Niamat is a Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo, part of the College of Engineering. His research focuses on hardware security, FPGA design, quantum-dot cellular automata (QCA), cryptography, and smart grid infrastructure. He holds a primary appointment at the University of Toledo, with contact details at 2008 Nitschke Hall. Research interests include Built-in-Self Test (BIST), fault-tolerant hardware, secure FPGA supply chains, and role-based access control. His work emphasizes securing advanced metering infrastructure (AMI) and IoT systems through hardware-oriented authentication and PUF (Physical Unclonable Function) techniques. Key publication trends highlight advancements in FPGA security, machine learning countermeasures against PUF attacks, and blockchain-integrated frameworks for hardware trustworthiness. Recent projects address vulnerabilities in ring oscillator PUFs and lightweight cryptographic solutions for IoT. Dr. Niamat has contributed to over 40 publications since 1986, spanning topics from power system stabilizers to nanoscale QCA logic synthesis. His work bridges theoretical computing and practical applications in high-performance systems.

Kenneth Patersonمشاهده پروفایل

استاد

• Cryptography
• Information Security
• Applied Cryptography
• +۳ مورد دیگر

Prof. Kenneth Paterson is a Full Professor at ETH Zürich's Department of Computer Science, leading the Applied Cryptography Group. He has held academic positions at Royal Holloway, University of London, and Hewlett-Packard Laboratories. His research focuses on cryptographic protocol analysis, provably secure solutions, and real-world system vulnerabilities. Key contributions include the Lucky 13 TLS attack, analyses of Telegram and OpenPGP, and work on cryptographic transition strategies. He has been recognized with awards such as the Google Distinguished Paper Award, IACR Fellowship, and ETH Golden Owl Teaching Award. His leadership roles include Department Head at ETH Zurich and Programme Chair for EUROCRYPT 2011. Paterson actively engages in standardization efforts through IRTF's CFRG and co-founded the Real World Cryptography workshop series. Education: B.Sc. (Mathematics, University of Glasgow, 1990), Ph.D. (Mathematics, University of London, 1993). Career highlights include EPSRC Leadership Fellowship (2010–2015) and IACR Distinguished Lecture at EUROCRYPT 2025. Research Interests: Cryptography, Information Security, Applied Cryptographic Protocols, TLS Analysis, Post-Quantum Cryptography, and Privacy-Preserving Technologies. Notable projects include cryptographic analysis of TLS, SSH, and cloud storage systems. Awards and Recognition: Google Distinguished Paper Award (2012) Applied Networking Research Prize (2013) IACR Fellow (2017) ETH Golden Owl Teaching Award (2022) Multiple Best Paper Awards at ACM CCS, CHES, and IEEE Security & Privacy Advising and Grants: Supervised students like Francesca Falzon and led projects funded by EPSRC, IRTF, and industry collaborations. Contributions to cryptographic agility and transition strategies for Internet protocols. Labs/Teams: Founder and Head of ETH Zurich's Applied Cryptography Group, associated with the Institute for Information Security. Collaborates with industry on cryptographic protocol development and security audits.

• Computer Architecture
• VLSI Design
• Hardware Security
• +۳ مورد دیگر

Dr Tomasz Kazmierski is an Associate Professor in the Department of Electronics and Electrical Engineering at the University of Southampton. His research focuses on hardware security, VLSI design, and energy-efficient computing. He leads projects such as the EPSRC-funded 'Next Generation Energy-Harvesting Electronics' and 'Event-based parallel computing (POETS)'. Current Projects: Event-based parallel computing (EPSRC) Next Generation Energy-Harvesting Electronics (EPSRC) Supervision: PhD students Peiyao Sun, Xuan Ji, and Haosen Yu Research Interests: Hardware Security & Trojan Resilience Approximate Computing Ultra-Low Power Circuits Neural Network Accelerators Recent work emphasizes secure design of neural network hardware, optimization of VLSI interconnects, and aging-aware circuit techniques. His publications span conferences like IEEE ISCAS and IEEE AsianHOST, addressing topics from fault-tolerant signal processing to energy-harvesting systems.

Arafat Aldweikمشاهده پروفایل

استاد

• Wireless Communications
• Intelligent Transportation Systems
• Internet of Things
• +۵ مورد دیگر

Dr. Arafat Aldweik is a Professor in the Department of Computer and Information Engineering at Khalifa University in the United Arab Emirates. He also holds the title of Research Professor at Western University and the University of Guelph in Canada, and is a Visiting Research Fellow at Newcastle University in the UK since 2006. M.S. in Electrical Engineering from Cleveland State University (Summa Cum Laude, 1998) Ph.D. in Electrical Engineering from Cleveland State University (Magna Cum Laude, 2001) Dr. Aldweik’s research focuses on Wireless Communications , Digital Communications , Internet of Things (IoT) , Error Correction Coding , UAV Communications , and Physical Layer Security , with a strong emphasis on 6G networks and physical unclonable functions (PUFs). He has raised over $3.6M in research funding and published more than 170 articles, with notable projects including Hybrid High-Density WSNs , Cloud-Based Micro-Stations for Green ITS , and PHY Layer Security for UAV Networks . Scientific Awards & Honors Leader-Founder Award, UAE (2019) Best Academic Research Award, Dubai Sustainable Transportation (2017) Fulbright Scholarship (1996) Hijjawi Award for Applied Sciences, Jordan (2004) Best Paper Awards at major conferences Senior Member, IEEE Dr. Aldweik’s editorial roles include Editor for IEEE Transactions on Vehicular Technology and IET Communications. He is also a Registered Professional Engineer in Ontario, Canada, and co-founder of two startups with eight US patents.

• Hardware Security
• Embedded Systems Security
• Physically Unclonable Functions (PUFs)
• +۷ مورد دیگر

Jean-Luc Danger is a Professor at TELECOM Paris where he currently heads the Digital Electronic Systems Research Group. He is affiliated with the Secure and Safe Hardware (SSH) Research Team within the Information Processing and Communication Laboratory (LTCI). With a career spanning over three decades in academia after 12 years in industrial research at PHILIPS and NOKIA, Professor Danger has established himself as a leading expert in hardware security and cryptographic implementations. Professor Danger received his degree in electrical engineering from SUPELEC in 1981 before embarking on his industrial career. His academic journey began in 1993 when he joined TELECOM Paris, where he has since made significant contributions to the field of hardware security. His educational background in electrical engineering provided the foundation for his later specialization in secure hardware design and analysis. Professor Danger's research primarily focuses on embedded systems security , physically unclonable functions (PUFs) , side-channel attacks and countermeasures , and fault injection techniques . His work bridges the gap between theoretical cryptography and practical hardware implementations, addressing critical security challenges in modern computing systems. His research has evolved from foundational work on cryptographic algorithms to more recent investigations into hardware Trojans, aging effects on security primitives, and automotive security systems. Professor Danger has been particularly influential in developing methodologies for analyzing and protecting against electromagnetic fault injection attacks and side-channel information leakage. His extensive publication record demonstrates a consistent focus on hardware security challenges, with recent work showing increased attention to automotive security systems, machine learning applications for intrusion detection, and reliability issues in security primitives affected by aging and process variations. The trajectory of his research shows a natural progression from pure cryptographic implementations to more holistic security approaches that consider the entire hardware stack and its vulnerabilities. Through his leadership of the Secure and Safe Hardware research team, Professor Danger has fostered a collaborative environment that bridges theoretical security research with practical hardware implementation challenges. His work has contributed significantly to the development of standardized methodologies for evaluating hardware security and has influenced both academic research and industry practices in secure hardware design.

Yu Biمشاهده پروفایل

استادیار

• Hardware Security
• Deep Learning Accelerators
• Supply-Chain Security
• +۳ مورد دیگر

Dr. Yu Bi is an Assistant Professor in the Department of Electrical, Computer and Biomedical Engineering at the University of Rhode Island. His research focuses on hardware security, supply-chain security, and deep learning hardware acceleration. He holds a Ph.D. from the University of Central Florida (2016), an M.S. from New York University (2012), and a B.S. from Xidian University (2010). His work emphasizes fault-tolerant neural network architectures, adversarial attack mitigation, and secure hardware design. Notable contributions include frameworks like SHIELDeNN and Fiji-FIN, addressing vulnerabilities in quantized neural networks and inference accelerators. His research bridges emerging transistor technologies with cybersecurity solutions. Publications highlight trends in hardware-assisted cybersecurity, adversarial machine learning defense mechanisms, and the application of entropy modeling to analyze attack impacts. Ongoing studies explore post-Moore’s Law hardware innovations and backdoor attack countermeasures in large language models.

Fabio Variolaمشاهده پروفایل

استاد

• Biomedical Engineering
• Biomaterials
• Tissue Engineering
• +۳ مورد دیگر

Professor Fabio Variola holds a joint academic appointment at the University of Ottawa as a Professor in the Department of Mechanical Engineering , cross-appointed in the Departments of Physics (Faculty of Science) and Cellular and Molecular Medicine (Faculty of Medicine) . He earned his BEng and MEng from the University of Trieste (Italy) and a PhD from a joint program at the Institut National de la Recherche Scientifique-Énergie, Matériaux et Télécommunications (INRS-ÉMT) and Université de Montréal . His research focuses on developing micro- and nano-structured biomaterials to control cellular responses for applications in tissue engineering , medicine , and biophysics , with an emphasis on understanding how cells interact with physicochemical environments. Research interests include biomedical engineering , biomaterials , biophysics , nanotechnology , and regenerative medicine . His work spans surface engineering of titanium implants , nanocomposite hydrogels , plasmonic carbon materials , and 3D in vitro disease models . Recent studies explore applications in neuroengineering , cardiac tissue repair , and targeted cancer therapy . Key research trends in his articles include laser-material interactions , biomaterial-cell interfaces , and nanostructured materials for medical devices . His work bridges materials science and biomedical applications , with a focus on in vitro and in vivo validation of novel materials. Professor Variola has no listed scientific awards but maintains a prolific publication record. His research group collaborates across departments at the University of Ottawa and international institutions. He advises students in interdisciplinary biomaterials and biomedical engineering, though specific advisee names are not publicly listed.

Amin Rezaeiمشاهده پروفایل

استادیار

• Computer Security
• Machine Learning
• Computer Architecture
• +۳ مورد دیگر

Amin Rezaei is an Assistant Professor in the Department of Computer Engineering and Computer Science at California State University, Long Beach (CSULB). He directs the Computer Architecture, Reliability, and Security Laboratory (CARS-Lab) and serves as the undergraduate advisor for Computer Engineering. His expertise spans computer security, machine learning, and computer architecture, with a focus on hardware security and protecting hardware intellectual property. Rezaei holds a Ph.D. in Computer Engineering from Northwestern University. He is a senior member of IEEE and a lifetime member of ACM and AAAI. His research has been funded by NSF grants totaling $500,000, and he has published over 50 peer-reviewed articles in top venues like DAC, ICCAD, and DATE. He has also served on technical program committees for major conferences such as IPDPS and GLSVLSI. His research interests include hardware security, machine learning applications in secure systems, and novel logic locking techniques. Key projects include developing CycPUF (a cyclic physical unclonable function) and frameworks for detecting hardware Trojans using multimodal deep learning. His lab emphasizes democratizing research by publicly sharing source code. Education: Ph.D. in Computer Engineering, Northwestern University Awarded Academic Excellence Award, University of Louisiana at Lafayette Awards: Walter P. Murphy Fellowship, Northwestern University Royal E. Cabell Fellowship, Northwestern University Grants: NSF CISE-MSI and CRII programs. Rezaei’s advising focuses on undergraduate Computer Engineering students, with Spring 2025 hours on Zoom. His lab’s current research includes projects on hardware Trojan prediction, ML-based security evaluations, and dynamic logic locking.

Edlira Dushkuمشاهده پروفایل

استادیار

• Cybersecurity
• Internet of Things (IoT) Security
• Remote Attestation
• +۵ مورد دیگر

Edlira Dushku is a Tenure Track Assistant Professor at the Department of Electronic Systems, Aalborg University (Denmark), affiliated with the Cyber Security Group. She holds a PhD in Computer Science from Sapienza University of Rome and has held postdoctoral positions at DTU Compute, Denmark. Her research focuses on IoT Security, Cybersecurity, Blockchain, and Fog Computing, particularly in remote attestation and hardware security. Education: 2023: University Pedagogical Programme, Aalborg University 2016–2020: PhD in Computer Science, Sapienza University of Rome 2013: MSc in Computer Science, University of Tirana 2010: BSc in Computer Science, University of Tirana Research Interests: Dr. Dushku specializes in securing IoT devices and distributed systems through remote attestation, blockchain applications, and machine learning-based security. She explores challenges in fog computing, PUF protection, and adversarial defense mechanisms. Her work emphasizes trust management and public verifiability in IoT ecosystems. Teaching: She teaches courses like Security in IoT and Cloud Architectures (MSc) and Computer System Security (BSc) at Aalborg University. Previously, she was an academic supervisor for students with special needs at DTU. Grants & Projects: Coordinator of the EUopStart proposal for MSCA (2024) Guest editor for MDPI Sensors Special Issue on IoT Security Program chairs for multiple conferences (e.g., FMEC 2021) Lab & Collaborations: Collaborates with industry partners like Terma and Develco Products, focusing on applied IoT security solutions. Her work bridges academia and industry through co-supervised theses and real-world system implementations.

Chongyan Guمشاهده پروفایل

مدرس ارشد

• Hardware Security
• Physical Unclonable Functions (PUFs)
• IoT Security
• +۴ مورد دیگر

Dr. Chongyan Gu is a Senior Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen’s University Belfast, part of the Faculty of Engineering and Physical Sciences. Her research focuses on hardware security, particularly Physical Unclonable Functions (PUFs), approximate computing vulnerabilities, and IoT device security. She leads the EPSRC New Investigator Award-funded project on Hardware Security for Approximate Computing and has secured industry collaborations with LG-CNS and defense companies. Dr. Gu has received notable awards including the INVENT2015 Overall Winner and Pramod Subramanyan Presentation Award. Her research has been commercialized, such as licensing PUF technology for EV charging systems and defense applications. She collaborates internationally through EU projects with Fraunhofer and ETRI. Dr. Gu serves as an IEEE Senior Member, Guest Editor for IEEE TCAS-I, and editorial roles for conferences like IEEE ISCAS and AsianHOST. She has delivered tutorials at ASP-DAC and HiPEAC, emphasizing practical PUF design and hardware security challenges. Key technical contributions include PUF-based authentication protocols, machine learning-resistant security solutions, and vulnerability analysis in approximate computing. Her work addresses emerging threats like Rowhammer attacks and hardware Trojans, leveraging graph attention networks for detection. Recent publications highlight advancements in RRAM-based PUFs, FPGA implementations, and defense mechanisms for modern DRAM systems.

Neil Hanleyمشاهده پروفایل

پژوهشگر

• Hardware Security
• Cryptography
• Side-Channel Analysis
• +۴ مورد دیگر

Neil Hanley is a Principal Engineer at the Queen's University Belfast , affiliated with the Secure Digital Systems group under the School of Electronics, Electrical Engineering and Computer Science . His work focuses on hardware security, cryptography, and side-channel analysis, particularly in FPGA implementations and physically unclonable functions (PUFs). Research Interests: Neil specializes in Side-Channel Analysis (SCA) , Post-Quantum Cryptography (PQC) , Quantum Key Distribution (QKD) , and Machine Learning Applications in Security . He investigates hardware vulnerabilities, designs secure cryptographic systems, and evaluates entropy sources for PUFs. Scientific Contributions: Developed hybrid quantum-safe cryptographic protocols integrating QKD and PQC. Advanced machine learning techniques for detecting and mitigating side-channel attacks. Evaluated FPGA-based PUFs for uniqueness and entropy optimization. Scientific Awards: Recipient of the INVENT2015 Prize for innovative contributions to cybersecurity. Collaborations: Neil collaborates with researchers like Maire O'Neill, Ali Khalid, and James Grant on projects involving hardware security, cryptographic algorithm optimization, and quantum-safe systems. He contributes to datasets like the PicoPUF Dataset and participates in international conferences such as SECRYPT and ISCAS.

• Low-Power Integrated Circuits
• High-Speed CMOS Design
• Reconfigurable Circuits
• +۶ مورد دیگر

Marco Lanuzza is an Associate Professor in the scientific disciplinary sector ING-INF/01-Electronics at the Department of Computer Engineering, Modeling, Electronics, and Systems (DIMES) at the University of Calabria. He obtained his degree and Ph.D. in Electronic Engineering from the "Mediterranea" University of Reggio Calabria in 2000 and 2005, respectively, and has taught at the University of Calabria and other institutions since 2005-06. He holds the National Scientific Qualification for Full Professor in Electronics (2019) and is a Senior Member of IEEE (2016). Education: Electronic Engineering (110/110), Ph.D. in Electronic Engineering Research Focus: Low-power/high-speed CMOS circuits, reconfigurable circuits, nanotechnology optimization Editorial Roles: Associate Editor for Elsevier's 'Integration, the VLSI Journal' and Wiley's 'International Journal of Circuit Theory and Applications' His research spans circuit design, nanotechnology validation, and applications in signal processing and IoT. Recent publications highlight innovations in content-addressable memory, PUF architectures, and STT-MRAM for in-memory computing. Key subfields include energy-efficient memory systems, hardware security, and cryogenic electronics. Scientific Awards: Senior Member of IEEE (2016) National Scientific Qualification for Full Professor (09/E3 - Electronics, 2019) Associate Editor for two major journals Marco Lanuzza contributes extensively to international conferences as Program Chair and TPC Member. He is part of the Nanoelettronica e Microsistemi research group at DIMES, focusing on multidisciplinary electronic systems and sensor design.

• Hardware Trojan Design
• Netlist Reverse Engineering
• Neuro Engineering
• +۲ مورد دیگر

Alexander Hepp serves as a Lecturer at the Chair of Security in Information Technology, Technical University of Munich (TUM), where he contributes to both teaching and cutting-edge hardware security research. His current teaching responsibilities include C++ Lab, Embedded Systems and Security, and Strategic Management for Engineers, where he acts as primary lecturer for the latter course. His research centers on hardware trojan design/identification and netlist reverse engineering within the chair's broader security initiatives. His research portfolio demonstrates deep specialization in hardware security vulnerabilities, with emphasis on hardware trojan insertion/detection methodologies and reverse engineering countermeasures. Recent work explores neuro engineering applications and RISC-V-based security implementations, often leveraging open-source hardware frameworks. His publications reveal consistent innovation in hardware obfuscation techniques and netlist analysis tools, addressing critical gaps in pre-silicon security validation. His 12 publications from 2021-2024 show strong focus on hardware security conferences like DATE and DDECS, with recurring themes in trojan detection, reverse engineering challenges, and cryptographic hardware validation. The research trajectory indicates growing emphasis on practical countermeasures against physical attacks and standardized vulnerability assessment frameworks. Scientific Awards: Best Paper Award at DDECS 2022 for 'Hardware Obfuscation of Digital FIR Filters' No verifiable information exists regarding student advising or grant funding in available sources. He operates within Prof. Sigl's research ecosystem which actively pursues projects in fault attacks, IoT security, physical unclonable functions, and post-quantum cryptography implementations, with recent work emphasizing hardware reverse engineering challenges in advanced semiconductor designs.

• Post-Quantum Cryptography
• Lattice-Based Cryptography
• Hardware/Software Co-Design
• +۱۰ مورد دیگر

Tim Fritzmann is a researcher at the Department of Security in Information Technology (Technische Universität München). His work focuses on post-quantum cryptography, lattice-based algorithms, and secure hardware/software co-design for constrained environments like automotive systems and embedded devices. Post-Quantum Cryptography Lattice-Based Cryptography Hardware/Software Co-Design Error-Correcting Codes RISC-V Architecture ASIC Design His recent publications (2018–2022) highlight advancements in fault attacks, side-channel countermeasures, and efficient implementations of lattice-based protocols for IoT, automotive systems, and FPGA-SoC platforms. Key themes include parameter optimization for decryption reliability, masked accelerators, and instruction-set extensions for quantum-resistant algorithms. Research projects involve collaborations with institutions like the University of Leuven and TU München, emphasizing post-quantum security integration into real-world hardware architectures. No explicit awards or student advisement details are listed publicly.