جست‌وجوی استاد و پژوهشگر

Dane Brownمشاهده پروفایل

استادیار

• Cybersecurity
• Binary Analysis
• Reverse Engineering
• +۷ مورد دیگر

Dane Brown is an Assistant Professor in the Cyber Science Department at the United States Naval Academy, part of the School of Engineering, Computing, and Weapons. He has been affiliated with the Naval Academy since 2010, initially teaching Electrical Engineering before transitioning to the Cyber Science Department in 2014 to help develop the Cyber Operations major curriculum. His roles include course development and hands-on instruction in computer architecture and design principles. Education: B.S. in Electrical Engineering, United States Naval Academy (2005) M.S. in Computer Engineering, Naval Postgraduate School (2006) Ph.D. in Computer Engineering, Virginia Tech (2019), focusing on firmware security in ARM environments Research Interests: Dr. Brown specializes in low-level problem solving across software, hardware, and networks, with expertise in information system security. His work spans binary analysis, reverse engineering, cryptography, privacy mechanisms, microprocessor security, communications protocols, signal processing, biometrics, and STEM education . He emphasizes applied cybersecurity through hands-on pedagogy. Military Service: A former U.S. Navy Submarine Officer responsible for maintenance, personnel, and operations, he remains a Naval Reservist. He deployed to U.S. Central Command’s Joint Cyber Center during Operation Enduring Freedom. Contributions: Co-developed the Cyber Science curriculum at USNA, integrating practical coursework for the Cyber Operations major. His research bridges theory and practice in firmware security and embedded systems.

Meera Sridharمشاهده پروفایل

دانشیار

• Cybersecurity
• Formal Methods
• Program Analysis and Verification
• +۴ مورد دیگر

Meera Sridhar is an Associate Professor in the Department of Software and Information Systems at the University of North Carolina Charlotte (UNC Charlotte). She leads the CCI SmartHome IoT Lab and the Center for Energy Security And Reliability (CESAR). Her research focuses on cybersecurity, formal methods, and their applications to web, mobile, and IoT systems. She holds a Ph.D. from the University of Texas at Dallas and advanced degrees from Carnegie Mellon University. Dr. Sridhar has received significant funding including a $1.5M grant from the UNC System for secure power grid research and an NSF grant for cybersecurity education. Her work spans malware detection (e.g., Jadeite), exploit generation frameworks (HybridGuard), and educational tools like DISSAV for stack-smashing visualization. Key contributions include analyzing ActionScript vulnerabilities ("Flash in the Dark"), securing hybrid mobile apps, and developing IoT security solutions. She advises multiple Ph.D. students and actively contributes to conferences like ACM SIGCSE and IEEE ISI. Her labs focus on emerging threats in smart devices and energy infrastructure.

Manuel Egeleمشاهده پروفایل

دانشیار

• Software Security
• Web Security
• Mobile Systems Security & Privacy
• +۳ مورد دیگر

Manuel Egele is an Associate Professor in the Department of Electrical and Computer Engineering at Boston University, part of the College of Arts & Sciences. His research focuses on software security, web security, and privacy in mobile systems and online social networks. He holds a PhD from Vienna University of Technology (2011). Egele has contributed extensively to cybersecurity through publications on fuzzing techniques, anomaly detection in HPC systems, and hardware security primitives. His work spans embedded systems, firmware re-hosting, and vulnerability mitigation in web applications. Notable projects include Refine for HPC anomaly detection and PROTEUS for detecting Android emulators. His research emphasizes practical solutions for real-world security challenges, leveraging machine learning and hardware-software co-design. Education: PhD in Computer Science from Vienna University of Technology (2011). Research Interests: Cybersecurity, fuzz testing, HPC system monitoring, embedded systems security, web application vulnerabilities, and hardware-assisted security primitives. His work bridges theoretical advancements with practical implementations, addressing issues like memory safety, cross-site scripting (XSS) mitigation, and firmware re-hosting challenges. Key Contributions: Over 50 peer-reviewed articles since 2012, including foundational work on fuzzing frameworks (e.g., Processorfuzz ) and anomaly detection systems (e.g., E2EWatch ). He has pioneered methods to diagnose performance variations in supercomputers using machine learning and explored defense mechanisms against hardware vulnerabilities like IOMMU exploits. Labs/Teams: Leads the Cybersecurity and Systems Research Group at Boston University, focusing on interdisciplinary approaches to secure software and hardware ecosystems.

Tom Spinkمشاهده پروفایل

مدرس

• Dynamic Binary Translation
• Hardware Virtualisation
• Operating Systems
• +۳ مورد دیگر

Dr. Tom Spink is a Lecturer at the School of Computer Science, University of St Andrews. His research focuses on efficient cross-architecture hardware virtualization, leveraging Dynamic Binary Translation (DBT) and hardware acceleration to enhance virtualized system performance. He teaches Operating Systems (CS3104) and Computer Architecture (CS4202), and serves as the First-level CS Coordinator. Dr. Spink holds a PhD in computer systems architecture from the University of Edinburgh and is a Fellow of the British Computer Society (BCS). His research interests span operating systems, virtualization, compilers, and runtime systems. Notable contributions include work on DBT hypervisors, weak memory model architectures (Risotto/Lasagne), and embedded systems security. He has been awarded the Best Paper Award in 2019 for his work on retargetable DBT hypervisors. Dr. Spink advises PhD student Ferdia McKeogh and collaborates on tools like Risotto and Lasagne. His work addresses challenges in cross-platform execution, IoT virtualization, and compiler optimizations for embedded systems. He actively engages in academic activities, including organizing conferences and delivering invited talks on hardware acceleration and virtualization techniques.

Yang Xuمشاهده پروفایل

استاد پژوهشی

• Software-Defined Networking
• Data Center Networks
• High-Speed Networks
• +۹ مورد دیگر

Yang Xu is a Research Professor in the Department of Electrical and Computer Engineering at the New York University Tandon School of Engineering. He previously served as a Visiting Assistant Professor at NYU-Poly (2007-2008) and holds a Ph.D. in Computer Science and Technology from Tsinghua University (2007), a Master of Science in Computer Science and Technology from Tsinghua University (2003), and a Bachelor of Engineering from Beijing University of Posts and Telecommunications (2001). Ph.D. (2007): Tsinghua University, Computer Science and Technology M.Sc. (2003): Tsinghua University, Computer Science and Technology B.Eng. (2001): Beijing University of Posts and Telecommunications His research focuses on network security, software-defined networks, high-speed networking, and hardware security. Key interests include developing solutions for data center networks, mitigating malware and rootkit threats using hardware performance counters, and evaluating side-channel vulnerabilities in FPGAs. He explores the dual impact of machine learning in hardware security, balancing its benefits and risks. His work also addresses cybersecurity challenges in industrial control systems. Dr. Xu’s recent articles highlight advancements in leveraging hardware resources for security, such as HPC-based malware detectors and signature-based ROP detection systems. His research trends emphasize practical cybersecurity transitions, embedded system security, and FPGA vulnerability assessments. No scientific awards or grants are explicitly listed in the provided text. He advises no current students, but his research has influenced embedded, firmware, and network security domains. He is affiliated with the High Speed Networking Lab , which specializes in data center network solutions and security tools. His office is located at 10.069 (2 MetroTech Center, 10th Floor), and he can be reached at yang@nyu.edu or (646) 997-3153.

• Network Security
• Systems Security
• Wireless Sensor Networks
• +۳ مورد دیگر

Dr. Martin Strohmeier is a post-doctoral researcher at the University of Oxford's Department of Computer Science, specializing in network and systems security with a focus on wireless aviation technologies, critical infrastructure protection, and satellite communication. His research bridges theoretical cybersecurity with real-world applications, particularly in securing air traffic control systems and space-based networks. Education: DPhil (Oxford) in Computer Science; MSc in Computer Science from TU Kaiserslautern, Germany. He previously conducted visiting research at Lancaster University’s InfoLab21 and Lufthansa AG. Research Interests: His work addresses vulnerabilities in aviation cybersecurity, satellite communication protocols, and adversarial machine learning. Notable projects include developing cyber-physical security solutions for air traffic control, analyzing GNSS disruptions, and co-founding the OpenSky Network to crowdsource aviation data for research. Awards: EPSRC Doctoral Prize Award (2021) for his doctoral work on wireless aviation security. OpenSky Network: Co-founder and active contributor to this collaborative platform that aggregates and analyzes global flight data to improve aviation safety and environmental impact studies. Current Projects: Investigating satellite authentication mechanisms, jamming-resistant systems, and personalized phishing defense strategies through augmented reality training.

Nataša Živićمشاهده پروفایل

استاد

• Information and Coding Theory
• Cryptography
• Information Security
• +۱۱ مورد دیگر

Prof. Dr. Nataša Živić is a Professor of Information and Coding Theory and Real-Time Image Processing at the Faculty of Digital Transformation , HTWK Leipzig . Her work bridges theoretical foundations in coding, cryptography, and signal processing with practical applications in IoT, smart grids, automotive systems, and blockchain technologies. Academic background: Dr.-Ing. habil. and Dr.-Ing. in Electrical Engineering, University of Siegen; Magister and Dipl.-Ing. from University of Belgrade. Professional journey: Founder of Secutanta GmbH; Senior Technical Security Engineer at Volkswagen (Cariad); academic roles at University of Siegen. Her research focuses on secure and robust communication , including noise-tolerant data authentication, joint channel coding and cryptography, and real-time image processing. She explores probabilistic AI algorithms and distributed ledger technologies for industrial applications in mobility and energy systems. The 15 most recent publications highlight her leadership in applying blockchain and DLT to automotive and IoT contexts, advancing secure communication in smart metering and charging infrastructure, and integrating machine learning for environmental and financial prediction. Her work spans IEEE, MDPI, and Springer venues, reflecting strong academic impact. Scientific Awards: Best Paper and Innovation Award, IEEE SEGE 2015 Best Paper Award, UBICOMM 2010 She has led DAAD-funded international projects with universities in the USA, Korea, and China, and contributes to standardization as a member of DIN and ISO committees on security (SC 27) and AI (SC 42). She is also an IEEE Senior Member and active reviewer for top journals. Her research addresses real-world challenges in automotive security, smart energy, and digital transformation.

Sebastian Fischmeisterمشاهده پروفایل

استاد

• Embedded Systems
• Distributed Systems
• Formal Methods
• +۸ مورد دیگر

Sebastian Fischmeister is a Professor and NSERC/Magna Industrial Research Chair in Automotive Software for Connected and Automated Vehicles at the Department of Electrical and Computer Engineering, University of Waterloo. His research focuses on systems at the intersection of software technology, distributed systems, and formal methods, with applications in automotive systems, avionics, and medical devices. He has pioneered frameworks for scalable location-based pervasive computing and verifiable real-time communication schedules, contributing to the ASTM F29.21 standard. Education: Dipl.-Ing. in Computer Science (Vienna University of Technology, 2000), Ph.D. in Computer Science (University of Salzburg, 2002) Research Themes: Real-time embedded systems, runtime monitoring, security analysis, data analytics for validation, and performance evaluation. Scientific Awards: APART Stipend (2005) Ontario Early Researcher Award (2014) Multiple best paper and tool awards He is an ACM Distinguished Speaker and actively participates in organizing conferences such as ESCAR, RTSS, DATE, and ICPE. His work includes significant contributions to anomaly detection, cybersecurity in automotive networks, and runtime verification techniques under unreliable conditions.

• Cybersecurity
• Computer Security
• Software Engineering
• +۴ مورد دیگر

Kyu Lee is an Associate Professor at the School of Computing, University of Georgia, where he also serves as the Graduate Program Coordinator. With a PhD in Computer Science from Purdue University, he has been with the University of Georgia since 2014, advancing from Assistant Professor to his current position as Associate Professor. His work focuses on cybersecurity, software engineering, and digital forensics. Dr. Lee's educational background includes: Doctor of Philosophy in Computer Science from Purdue University (2014) Master of Engineering in Computer Engineering from Hong-Ik University, Korea (2008) Bachelor of Engineering in Computer Engineering from Hong-Ik University, Korea (2005) Dr. Lee's research interests center around cybersecurity, with particular focus on digital forensics, blockchain technology, IoT security, and software security. His work addresses critical challenges in security logging, forensic analysis, and attack reconstruction. He has developed innovative approaches to security through his research on audit logs, program analysis, and privacy protection in smart home environments. His research bridges theoretical concepts with practical applications, aiming to enhance security in real-world systems. Dr. Lee's publication record shows a strong emphasis on practical security solutions. His recent work spans across multiple domains including digital forensics, IoT security, blockchain applications, and software security. He has pioneered techniques for forensically analyzable encryption, cybercrime scene reconstruction, and privacy protection in smart home ecosystems. His research often involves interdisciplinary approaches, combining elements of software engineering, network security, and system analysis to address complex security challenges. Dr. Lee has received notable recognition: Student Career Success Influencer Award (2024) Student Career Success Influencer Award (2022) USENIX Security 2017 Distinguished Paper Award As Graduate Program Coordinator, Dr. Lee plays a significant role in mentoring students and shaping the graduate curriculum. He has secured multiple research grants totaling millions of dollars from prestigious organizations including the National Science Foundation, US Department of Energy, and US Department of Defense. His current projects include "Goaltender: Cloud-Based Defense and Response Tools for the DER Ecosystem" and "SaTC: CORE: Medium: Collaborative: Measurement and Prevention of Online Content Management System Abuse," reflecting his ongoing commitment to addressing cutting-edge security challenges. Dr. Lee leads a research group focused on cybersecurity and software engineering, where students work on projects related to digital forensics, IoT security, and blockchain applications. His lab environment fosters innovation and collaboration, with students regularly contributing to high-impact publications and developing practical security tools.

Neil Klingensmithمشاهده پروفایل

استادیار

• Cyber-physical systems
• Internet of Things (IoT)
• Embedded systems
• +۴ مورد دیگر

Neil Klingensmith is an Assistant Professor of Computer Science at Loyola University Chicago, specializing in hardware-software co-design for cyber-physical systems. His research focuses on making IoT systems more efficient, reliable, and secure while maintaining strong educational leadership in operating systems and embedded systems courses. PhD in Computer Engineering from University of Wisconsin (2019) MS in Computer Engineering from University of Wisconsin (2016) BS in Electrical Engineering from University of Wisconsin (2010) Klingensmith's research spans three major areas: IoT Security : Innovating secure device authentication through environmental signals (power line noise, electromagnetic radiation) and analyzing vulnerabilities in automotive and conferencing systems Low-power Embedded Systems : Developing energy-efficient sampling techniques and hypervisor-based privacy agents for mobile/IoT devices Operating System Design : Exploring userland containers, real-time hypervisors, and memory management frameworks His recent publications demonstrate focus areas in authentication mechanisms , secure device pairing , and mobile virtualization . With 15+ years of academic and industry experience, he has secured significant funding including: $500k NSA NCAE grant (2023-2024) $250k NSF OAC grant for low-power computer vision (2021-2024) $110k US Department of Energy Fellowship (2013-2015) His students have successfully placed at major companies including Amazon, Google, and Boeing while advancing research in: Secure firmware development Real-time OS implementation Hardware authentication techniques Memory management optimization Embedded system design As co-founder of Emonix, he bridges academic research with commercial applications in HVAC automation. His patents in context-based device pairing demonstrate practical impact of his theoretical work.

Mesut Günesمشاهده پروفایل

استاد

• Smart Home Systems
• Computer Networks
• Network Security
• +۷ مورد دیگر

Mesut Günes has been a Professor for Communication and Networked Systems at the University of Münster's Faculty of Mathematics and Informatics since Summer 2014. He leads research in smart home ecosystems and networked embedded systems. Research Focus Thesis Topics Projects Research interests include optimizing firmware updates for heterogeneous smart home devices, analyzing power consumption vs. user convenience trade-offs in smart technologies, and evaluating the robustness of IoT devices under network disruptions and cyberattacks. His work bridges technical implementation with user-centered design principles. Current projects span diverse areas such as DES Testbed , Einstein Center Digital Future (ECDF) , Geocrowd , HyperStar , Indoor Localization , Peeroskop , RIOT , SAFEST , SKIMS , VIVE Medien , and X-CHECK . These initiatives explore networked systems, cybersecurity, and digital future technologies. Thesis supervision focuses on practical challenges in smart home systems, covering user convenience metrics, DoS attack resilience, and firmware update automation. Both bachelor's and master's students benefit from his expertise in networked systems under these topics.

• Cyber Resilience
• Firmware Resilience
• Secure Boot
• +۶ مورد دیگر

Utku Budak, M.Sc. , is a Researcher at the Chair of Information Security at the Technical University of Munich . His work focuses on enhancing the security of embedded systems, particularly in areas like cyber resilience, firmware resilience, and secure boot mechanisms. He contributes to teaching through the Lecture Series on System Security and advanced cryptographic implementations. Research Areas: Cyber Resilience, IoT Security, Hardware Security Contact: utku.budak@tum.de His research addresses critical challenges in trusted computing for resource-constrained devices, as evidenced by his 2025 publication on a cyber-resilient DICE architecture. The 2024 paper on lightweight firmware resilience for IoT devices earned the Best Paper Award at IEEE CSR. Current opportunities for student collaboration include roles in VHDL/FPGA design and C/C++ software development with RISC-V expertise.

Ala’ Khalifehمشاهده پروفایل

پژوهشگر

• Wireless Sensor Networks
• Internet of Things
• Multimedia Communications
• +۳ مورد دیگر

Dr. Ala’ Khalifeh is a faculty member at the German Jordanian University , affiliated with the School of Innovation, Technology Transfer and Entrepreneurship . He holds a PhD in Electrical Engineering and Computer Science from the University of California, Irvine (2010), and has been an active researcher in wireless communications and IoT since returning to Jordan in 2012. PhD: Electrical Engineering and Computer Science, University of California, Irvine (2010) Master's: Electrical Engineering, The University of Jordan (2004) Bachelors: Electrical Engineering, The University of Jordan (2001) His research spans Wireless Sensor Networks , Internet of Things , and Multimedia Communications , with a strong emphasis on practical applications in healthcare, agriculture, and smart cities. Recent work focuses on deep learning for environmental monitoring , secure systems-of-systems frameworks , and energy-efficient IoT protocols . Dr. Khalifeh has received numerous accolades, including the Young AFCEA 40 under 40 International Award and the Queen Rania National Entrepreneurship Competition First Prize . He leads the IEEE Jordan Section and serves as Vice-Dean in GJU's Deanship of Innovation, Technology Transfer and Entrepreneurship (DI-TECH).

Giovanni Camuratiمشاهده پروفایل

پژوهشگر ارشد

• System Security
• Wireless Technologies
• Side-Channel Attacks
• +۷ مورد دیگر

Giovanni Camurati is a postdoctoral researcher at ETH Zurich in the System Security Group under Prof. Srdjan Capkun. Previously, he earned his PhD at Sorbonne Université, conducted at EURECOM, and visited UC Louvain. His research focuses on system security at the physical layer , particularly targeting UWB , GNSS , and mixed-signal chips in wireless devices. Key research areas: Side-channel attacks, Covert channels, Firmware analysis, Automotive network security Awards: Distinguished Paper at USENIX Security 2024, Runner-up PhD Award from GDR Sécurité Informatique (2020), 3rd place at CSAW Europe 2018 Article trends show expertise in distance reduction attacks (Ghost Peak, Time for Change), EM leakage exploitation (Noise-SDR, Screaming Channels), and security testing frameworks (Inception, MCRank). His work bridges theoretical analysis with practical attacks on commercial systems like Apple U1 chips and Google Eddystone beacons. Contact: camurati@eurecom.fr

Mauricio Papaمشاهده پروفایل

استاد

• Critical Infrastructure Protection
• Operational Technology Security
• Industrial Control Systems
• +۵ مورد دیگر

Mauricio Papa serves as the Brock Professor within the Tandy School of Computer Science and Cyber Studies at The University of Tulsa's College of Engineering & Natural Sciences. His academic career spans critical infrastructure protection and operational technology security, with extensive collaboration across government agencies and industry sectors. Dr. Papa's educational background includes: Ph.D. in Computer Science from The University of Tulsa (2001) M.S. in Electrical Engineering from The University of Tulsa (1996) B.S. in Electrical Engineering from Universidad Central de Venezuela (1992) His research focuses on securing industrial control systems across critical infrastructure sectors, particularly in energy and transportation. Papa's work integrates network security principles with operational technology requirements, developing specialized intrusion detection systems, protocol analysis frameworks, and predictive analytics for industrial environments. His methodology emphasizes practical implementation in real-world OT settings where traditional IT security approaches often fail due to legacy system constraints and safety requirements. Analysis of his recent publications reveals a strong concentration on machine learning applications for OT security, with increasing emphasis on graph-based anomaly detection, IoT device fingerprinting, and cost-sensitive alert management. His work consistently bridges theoretical cybersecurity concepts with practical industrial applications, particularly in electric power systems and nuclear facilities. Dr. Papa has secured significant research funding through multiple federal agencies including DARPA, Department of Defense, Department of Justice, National Science Foundation, and Department of Energy, along with private industry partnerships. His projects have involved designing and deploying critical infrastructure protection labs, developing forensic tools for transportation systems, and creating simulation frameworks for nuclear reactor security. He has established specialized research facilities including a critical infrastructure protection lab for electric power sector security testing and has contributed to multi-institutional projects involving Washington State University and Pacific Northwest National Laboratory. His current work focuses on developing testbeds and cybersecurity solutions specifically for energy sector applications.