جست‌وجوی استاد و پژوهشگر

Seetal Potluriمشاهده پروفایل

استادیار

• Trustworthy Machine Learning
• Hardware Security
• FPGA Virtualization
• +۲ مورد دیگر

Seetal Potluri is Assistant Professor in the Department of Electrical & Computer Engineering at the University at Albany, SUNY's College of Nanotechnology, Science, and Engineering. He holds a Ph.D. in Electrical Engineering from IIT Madras and researches trustworthy ML systems, FPGA security, and hardware reverse engineering. Research addresses security challenges in hardware-accelerated AI systems, focusing on: 1) Model extraction vulnerabilities in neural network hardware; 2) Secure FPGA virtualization for cloud environments; 3) Side-channel attacks on cryptographic hardware; 4) Explainable ML for hardware security validation. Work bridges machine learning theory with hardware implementation security. Publications demonstrate consistent focus on hardware-level attack vectors (scan-chain exploitation, cache attacks) and defensive strategies (obfuscation, formal verification). Recent work increasingly targets cloud FPGA security and post-quantum cryptography implementations. Research contributions have been recognized with best paper awards at leading hardware security venues. Awards & Honors: Best Paper Recognition Award, IEEE HOST 2022 Runner-up, IEEE TTTC Doctoral Thesis Contest 2015 (Asia) Professional service includes technical program committees for DAC and ICCAD conferences. Teaching and research activities are based in CNSE Downtown 305E, with contact via spotluri@albany.edu or 518-956-8248.

• 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.

Alexandre Joannouمشاهده پروفایل

پژوهشگر

• Computer Architecture
• Hardware Security
• Memory Safety
• +۴ مورد دیگر

Dr. Alexandre Joannou is a Senior Research Software Engineer at the Department of Computer Science and Technology, University of Cambridge. His research focuses on secure hardware-software co-design, particularly in the CHERI (Capability Hardware Enhanced RISC Instructions) project. He specializes in computer architecture, memory safety, and RISC-V processors, with a focus on integrating security into low-level system components. His work spans theoretical contributions to capability-based systems and practical implementations in accelerators, GPUs, and embedded devices. Key areas include secure speculation, memory protection, and formal verification of hardware designs. Joannou's research has advanced temporal safety in heaps, compressed capabilities for efficiency, and architectural contracts to prevent vulnerabilities. His publications emphasize hardware security innovations, including CHERI-RISC-V integration, GPGPU memory protection, and randomized testing methodologies. Collaborations involve both academic and industry partners in secure computing ecosystems.

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.

Ujjwal Guinمشاهده پروفایل

دانشیار

• Hardware Security
• Semiconductor Supply Chain
• Integrated Circuit Authentication
• +۳ مورد دیگر

Ujjwal Guin is an Associate Professor in the Department of Electrical and Computer Engineering at Auburn University's College of Engineering . His work focuses on hardware security, semiconductor supply chain integrity, and blockchain applications in trust establishment. He has received recognition for his research, including IEEE Senior Membership and awards in hardware security competitions. White House citation for counterfeit IC research (2021) Hack@SEC 2021 second-place award UF/FICS Hardware De-obfuscation Competition winner (2019) His recent publications address counterfeit detection, logic locking vulnerabilities, blockchain-based authentication, and SRAM security analysis. He leads collaborative projects funded by the National Science Foundation and contributes to academic peer review processes.

• Power Electronics
• Building Automation
• Energy Conversion Systems
• +۳ مورد دیگر

Marcin Jachimski serves as a lecturer at the Department of Power Electronics and Automation of Energy Conversion Systems within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His academic role involves teaching and research focused on energy-efficient technologies and advanced control systems, with particular emphasis on practical applications in building automation and industrial processes. Dr. Jachimski holds both a PhD and an engineering degree (Eng.), establishing his foundation in electrical engineering principles. His educational credentials, while not detailed in available sources, underpin his expertise in power electronics and automation systems that drive his current academic work. His research spans multiple critical domains including Power Electronics for efficient energy conversion, Building Automation systems optimizing energy usage in structures, and Energy Conversion Systems for sustainable power management. He also investigates Electrical Energy Consumption monitoring techniques and develops advanced Control Systems for industrial applications, with growing interest in event-based data acquisition methods and energy-saving lighting technologies. Analysis of Dr. Jachimski's publication trends (2006-2020) reveals consistent focus on energy efficiency within building automation systems, particularly event-based electricity metering and LED/CFL lamp consumption analysis. His work demonstrates strong practical orientation through applications in lime processing control systems, industrial machine monitoring, and hardware implementations for safety functions, with increasing integration of LonWorks and TCP/IP technologies in building management solutions. No scientific awards or fellowships are documented in available sources, indicating his primary contributions occur through academic publications and teaching activities rather than formal recognitions. As a lecturer, Dr. Jachimski likely mentors undergraduate and graduate students, though specific advisees are not listed in available information. Details regarding research grants secured through competitive funding mechanisms are also absent from current documentation. His departmental affiliation suggests active participation in research teams developing energy conversion solutions and automation systems, though specific laboratory names or team structures are not explicitly mentioned in available materials. The department's focus implies collaborative work on industrial automation projects and energy monitoring systems.

Nader F. Mirمشاهده پروفایل

استاد

• Computer Networks
• Protocols
• TCP/IP
• +۱۵ مورد دیگر

Dr. Nader F. Mir is a Professor of Electrical Engineering at San Jose State University, where he serves in the Charles W. Davidson College of Engineering within the Electrical Engineering Department. His office is located in Engineering Building E251 at One Washington Square, San Jose, California 95192. With extensive experience in academia and research, Dr. Mir has served as Department Associate Chair and continues to contribute significantly to the field of electrical engineering and computer networking. Ph.D. in Electrical Engineering, Washington University (1995) Author of the widely adopted textbook 'Computer and Communication Networks' (3rd Edition expected 2023-24) Holds US Patent 7,012,895 B1 for 'Packet-Switching Network with Symmetrical Topology' Series Technical Editor for IEEE Communications Standards Magazine (2015-present) Dr. Mir's research spans computer networks, protocols, TCP/IP, virtualization, AI, cloud data centers, network security, and multimedia networking. His work focuses on the intersection of theoretical networking principles and practical implementation challenges, particularly in emerging technologies like software-defined networking and network function virtualization. He has made significant contributions to understanding high-speed switching systems, multimedia streaming optimization, and cloud network architecture. His recent publications demonstrate a clear trajectory toward AI-driven network management, edge computing, and optimizing multi-tenant cloud environments. These works reveal his ability to adapt to evolving technological landscapes while maintaining focus on fundamental networking principles. The publications collectively showcase expertise across computer networking, cloud infrastructure, multimedia systems, and wireless communications. Nancy Wheeler Nelson Faculty Excellence Award (2017) Faculty Service Recognition Award (2017) Faculty Award for Excellence in Scholarship (2015) Faculty Author Award (2014) Most Effective Professor Award from IEEE-SJSU Society (2004) Dr. Mir has supervised numerous theses and graduate projects while serving on various Master's and PhD thesis defense committees. Beyond teaching and research, he has secured research grants including a CENIC Network Research Foundation grant for forest fire protection through surveillance sensor networks. His editorial work with IEEE publications has shaped discourse in communications standards and networking technologies. Dr. Mir's leadership extends to organizing major conferences including the IEEE International Conference on Computer Communication Networks and serving as chair for multiple international conferences.

Paolo Palmieriمشاهده پروفایل

مدرس ارشد

• Cryptography
• Privacy Enhancing Technologies
• Internet of Things Security
• +۴ مورد دیگر

Dr. Paolo Palmieri is a Senior Lecturer in Cyber Security at the University College Cork (UCC) , affiliated with the School of Computer Science & IT . He serves as a Funded Investigator in Insight and CONNECT research centers, Supervisor in ADVANCE and AI Centres for Research Training, and co-Investigator in DTIF-Holistics and SFI-Spoke on Blended Autonomous Vehicles . PhD in Cryptography (2013), Université catholique de Louvain Prior positions: Lecturer at Cranfield University and Bournemouth University (UK), Post-Doctoral Researcher at Delft University of Technology (Netherlands) Research spans cryptography, privacy, and security , with focus on: Secure multi-party computation Homomorphic encryption Location privacy mechanisms Spatial Bloom filters Smart city security Blockchain applications in IoT Recent publications highlight advancements in blockchain-based healthcare authentication , privacy-preserving vehicular networks , and homomorphic encryption for sentiment analysis . He chairs Malicious Software and Hardware in Internet of Things (Mal-IoT) and Location Privacy Workshop (LPW) . Active in PhD supervision , he currently advises students in cryptographic protocols for location-based services. Collaborates with Smart City Lab at the University of Bologna and participates in international research networks .

Yuntao Liuمشاهده پروفایل

استادیار

• Computer Engineering
• Hardware Security
• VLSI Supply Chain Vulnerabilities
• +۳ مورد دیگر

Yuntao Liu is an Assistant Professor in the Department of Electrical and Computer Engineering at Lehigh University. His research focuses on hardware security, including quantum circuit security, logic locking mechanisms, VLSI supply chain vulnerabilities, and defense strategies against hardware-based attacks. He is affiliated with Packard Laboratory and can be reached at yule24@lehigh.edu. His research interests span cutting-edge topics such as quantum circuit obfuscation, hardware IP protection, and securing emerging fabrication technologies. He explores both theoretical frameworks and practical implementations to enhance hardware resilience against adversarial attacks. Recent publications highlight advancements in quantum logic locking (QLL), post-synthesis obfuscation techniques like POTENT, and red teaming methodologies for design validation. His work bridges hardware security with machine learning defense mechanisms, addressing threats in neural networks and deep learning models. No scientific awards or grants are explicitly listed in the provided text. Yuntao Liu’s contributions emphasize co-design approaches for heterogeneous integration and mitigating vulnerabilities in 3D ICs. His research also investigates timing-based attacks and side-channel vulnerabilities in modern hardware systems.

Yang Liuمشاهده پروفایل

مدرس ارشد

• Data Security
• Privacy-Preserving Computing
• Federated Learning
• +۳ مورد دیگر

Dr. Yang Liu is a Senior Lecturer in the Department of Computer Science at Swansea University's Faculty of Science and Engineering. He holds a D.Phil. in Computer Science from the University of Oxford and specializes in data security, privacy-preserving computing, and blockchain technologies. Research Focus: Dr. Liu's work centers on secure computation frameworks with specific expertise in: Federated learning systems optimization Privacy-preserving smart contract design Blockchain security and regulation Cryptographic techniques for data protection Secure machine learning applications Recent publications demonstrate methodological innovations in adaptive federated learning algorithms, regulatable blockchain architectures, privacy-enhanced recommendation systems, and security vulnerability analysis in Ethereum networks. His research bridges theoretical cryptography with practical applications in cloud/edge computing environments.

• 6G Communications
• Software Defined Networking
• Machine Learning
• +۵ مورد دیگر

Matthew Robinson is a Research Fellow at the University of Hertfordshire within the Department of Engineering and Technology, School of Physics, Engineering & Computer Science. His work focuses on next-generation communication systems and security applications, primarily through European and commercially funded projects including those with the European Space Agency (ESA), Horizon 2020, and industry partners like Global Invacom and Meazon. Education: MEng in Digital Communications and Electronics, University of Hertfordshire (2010-2014) Research Interests: Robinson specializes in 6G communications infrastructure with emphases on Software Defined Networking (SDN) , Machine Learning for sensor systems, Software Defined Radio (SDR) , and Satellite Communication for video broadcasting. His fingerprint analysis reveals strong activity in Connected Vehicles (80%), Software Defined Networking (80%), Machine Learning (50%), and Heterogeneous Transport Networks (40%). Projects demonstrate practical applications in energy disaggregation, vehicle sensor reliability, and secure smart metering. Research Trends: Recent publications (2021-2025) show a strategic pivot from video broadcasting systems toward cybersecurity applications for connected infrastructure. His work increasingly integrates unsupervised machine learning with hardware-software co-design, particularly for real-time threat detection in smart grids and autonomous vehicles, while maintaining satellite communication expertise. Awards: GB Patent GB2612705A: "Improvements to video data distribution networks" Projects & Grants: Robinson has contributed to four major initiatives: (1) SAT>IP WiFi Live Mobile TV (ESA-funded, with BBC R&D/Global Invacom), (2) EDIoT (H2020-funded, with Meazon), (3) AutoTrust (ESA-funded, with RL Automotive/Surrey), and (4) CPU/GPU Satellite Modem (ESA-funded). These projects secured substantial European funding and yielded patents, conference papers, and deployable systems for video broadcasting, energy monitoring, and vehicle sensor networks. Laboratory Affiliation: Works within the Networks and Security Research Centre, leveraging facilities for Software Defined Radio experimentation, satellite communication testing, and machine learning validation for IoT systems.

• Cybersecurity
• Data Protection
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Chaminda Hewage serves as Interim Associate Dean for Research and Reader (Associate Professor) in the Cardiff School of Technologies at Cardiff Metropolitan University. He leads the Computer Security Programme and holds a Ph.D. in Multimedia Communications from the University of Surrey (2009) and a B.Sc. in Electrical and Information Engineering from the University of Ruhuna (Sri Lanka). His research focuses on cybersecurity, data protection in AI/ML systems, blockchain applications, and multimedia communication security. He has authored over 50 peer-reviewed publications and edited major books on emerging technologies' privacy challenges. Education Background: B.Sc. (Hons) Electrical & Information Engineering, University of Ruhuna (2004) Ph.D. in Multimedia Communications, University of Surrey (2009) Postgraduate Certificate in HE Teaching & Learning, Kingston University (2014) Research Interests: Data protection mechanisms in AI/ML Cybersecurity frameworks for Industry 4.0 Blockchain for public and private sector applications Metaverse privacy and security Edge AI and embedded system security Regulatory compliance in digital transformation Recent Contributions: Co-edited the 2024 Springer volume Data Protection: The Wake of AI and Machine Learning , published influential works on Kubernetes security, V2X communication cryptography, and metaverse privacy. Active in international conferences including C3AI and ICCS. Awards & Recognition: Gold Medal for Academic Excellence (2004), University of Ruhuna ORS Scholarship (2005), HEFCE Fellow of the Higher Education Academy Grants & Collaborations: Leads research projects on cybersecurity for SMEs, smart city infrastructure, and digital transformation. Engages with industry partners through Cardiff Met's innovation networks. Advises on UK government cyber policy initiatives. Labs/Teams: Oversees the Cybersecurity Research Group and collaborates with the ZERO2FIVE Food Industry Centre for IoT applications. Active in multidisciplinary teams addressing Industry 5.0 challenges.

Alireza Esfahaniمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Network Security
• IoT Security
• +۵ مورد دیگر

Dr. Alireza Esfahani is a Senior Lecturer in Cyber Security at the School of Computing and Engineering (SCE) at the University of West London, where he also serves as the Course Leader for the BSc (Hons) Cyber Security and BSc (Hons) Cyber Security with Foundation Year programs. Previously, he held a lecturing position at the University of Greenwich from 2021 to 2023. He earned his PhD in Telecommunications from the University of Porto, Portugal, through the MAP-TELE doctoral program in 2017, followed by postdoctoral research at the Instituto de Telecomunicações in Portugal (2017–2019). Education: PhD in Telecommunications (University of Porto, 2017) Experience: Research Associate at SnT-CritiX (University of Luxembourg), contributing to EU cybersecurity projects SPARTA and CyberSec4Eu Affiliations: European Cyber Security Organisation (ECSO) and IEEE member Research Interests: Dr. Esfahani focuses on cybersecurity in IoT, connected vehicles, intrusion detection, machine learning applications, and semiconductor supply chain security. His work emphasizes secure authentication mechanisms, network coding security, and resilient systems design. Teaching: He teaches courses in BSc and MSc programs, including Cyber Security, Computer Science, and specialized modules in network security and secure communication protocols. Grants & Projects: Instrumental in EU-funded initiatives like SPARTA and CyberSec4Eu, focusing on cybersecurity frameworks and distributed systems. Labs/Teams: Collaborated with SnT-CritiX at the University of Luxembourg, developing cybersecurity solutions for critical infrastructure.

• Corporate Law
• Commercial Law
• Intellectual Property
• +۵ مورد دیگر

Silvia Scalzini is an Associate Professor at the Department of Economics and Business, University of Parma. She specializes in Corporate and Commercial Law, Intellectual Property, and EU Regulatory Frameworks, with a focus on blockchain technology, sustainability reporting, and digital markets. Her teaching includes courses on Italian and European Corporate Law and Marketing Law for Economics and Management programs. Corporate Sustainability Reporting Directive (CSRD) compliance Agri-food blockchain applications Competition law in digital markets Intellectual property and data-driven innovation EU copyright remedies and press publisher rights Her recent research explores the intersection of blockchain technology with intellectual property and supply chain transparency, alongside regulatory challenges in EU digital markets. She has contributed to debates on sustainability reporting, competition law, and data ethics in academic studies. Her publications span topics including economic dependence in digital markets, EU copyright misuse doctrines, and legal frameworks for emerging technologies. She has collaborated with researchers like Erica Adamo and Emanuela Maio on blockchain applications in agri-food sectors.

• Hardware Security
• Cryptography
• Side-Channel Attacks
• +۳ مورد دیگر

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.