جستجوی استاد راهنمای دانشگاهی

• Distributed Systems
• Embedded Systems
• Ubiquitous Computing
• +۳ مورد دیگر

NAKAJIMA, Tatsuo serves as a Professor at Waseda University's School of Fundamental Science and Engineering, Department of Computer Network Engineering. Holding a Doctor of Engineering from Keio University, he has been affiliated with Waseda since 1999 after positions at Japan Advanced Institute of Science and Technology (1993-1999), Cambridge University, and Carnegie Mellon University. His academic profile shows substantial research output with 433 papers and 3,338 citations on Scopus, and 7,604 citations with an h-index of 42 on Google Scholar. Dr. Nakajima's research focuses on Distributed Systems, Embedded Systems, and Ubiquitous Computing, with particular emphasis on virtualization architectures for embedded environments. His work bridges theoretical computer science with practical applications in information appliances, operating systems, and persuasive computing technologies. He has developed innovative systems including SPUMONE (a composition kernel for multi-OS environments), SIGMA System, and SPLiT (a performance optimization library for multicore processors). Analysis of his 15 most recent publications reveals a consistent research trajectory centered on enhancing reliability, security, and performance of embedded and pervasive computing systems. His work shows increasing integration of human factors, particularly in sustainable behavior applications through persuasive technology. The research spans from low-level system architecture to user-centered applications, demonstrating both technical depth and practical relevance. Nokia Research Center, Visiting Research Fellow (2005.04) Dr. Nakajima's research has produced numerous practical frameworks including SPUMONE for multi-OS environments, SPLiT for performance optimization, and persuasive applications like EcoIsland for sustainable behavior. His work on kernel monitoring, anomaly detection, and self-healing systems demonstrates strong focus on system dependability. Current research appears directed toward integrating human factors with embedded systems, particularly in environmental sustainability applications. His laboratory work centers around the SPUMONE project, a virtualization layer for multi-core embedded systems that enables multiple operating systems to coexist with minimal engineering cost. This research environment supports exploration of resource management, security monitoring, and performance optimization in embedded contexts. The work has practical applications in information appliances, smart homes, and pervasive computing environments.

Ioannis Zografopoulosمشاهده پروفایل

استادیار

• Cyber-Physical Systems Security
• Electric Grid Security and Resilience
• Distributed Energy Resources (DERs)
• +۴ مورد دیگر

Ioannis Zografopoulos is an Assistant Professor in the Engineering Department at the College of Science and Mathematics, University of Massachusetts Boston. He leads the Infrastructure Cybersecurity and Resilience Laboratory (ICARUS), focusing on cybersecurity for critical energy infrastructure. Ph.D., Electrical and Computer Engineering, KAUST (2023) M.Sc., Electrical and Computer Engineering, University of Thessaly (2015) B.Eng. and M.Eng., Computer, Communications, & Network Engineering, University of Thessaly (2014) His research spans cyber-physical systems security, embedded systems for distributed energy resources, and real-time simulation for grid resilience. Recent work includes securing 6G-enabled smart grids and firmware attack detection in microgrids. Key publication keywords: Power Systems, Cybersecurity, IoT Security, Renewable Energy Integration, Industrial Control Systems. Subfields include grid resilience, firmware attacks, hardware-assisted detection, and behind-the-meter DERs. Scientific Awards: IEEE Senior Member (2025) Outstanding Reviewer, IEEE Open Access Journal of Power and Energy (2025) 1st Place - CSAW-HMR (2022) Black Hat USA Scholarship (2022) Zografopoulos mentors students in the Alfred P. Sloan Foundation's IDS Student Fellows Program and contributes to IEEE standards and technical reports.

Megan M. La Belleمشاهده پروفایل

استاد

• Administrative Law
• Intellectual Property
• Civil Procedure
• +۱ مورد دیگر

Megan M. La Belle serves as Senior Associate Dean for Academic Affairs, Co-Director of the Law and Technology Institute, and Professor of Law at the Catholic University of America's Columbus School of Law. She holds significant administrative responsibilities while maintaining an active teaching and research profile in legal academia. Professor La Belle earned her J.D. from the University of California, Davis School of Law, where she served as Senior Notes & Comments Editor for the U.C. Davis Law Review, received the American Jurisprudence Award in Civil Procedure, and was elected to the Order of the Coif. She completed her undergraduate education at the University of California, Los Angeles, graduating summa cum laude with a B.A. Following law school, she clerked for the Honorable Stephen S. Trott on the United States Court of Appeals for the Ninth Circuit and the Honorable Margaret M. Morrow on the United States District Court for the Central District of California. Professor La Belle's scholarly work focuses on the intersection of intellectual property law, civil procedure, and administrative law. Her research examines complex issues in patent litigation, venue selection, personal jurisdiction, and the evolving relationship between technology and legal frameworks. She has made significant contributions to understanding patent procedure rules, fee-shifting mechanisms in PTAB proceedings, and the application of traditional legal doctrines to emerging technology sectors like fintech. Her scholarship demonstrates a consistent commitment to analyzing how procedural rules impact substantive rights in intellectual property contexts, with particular attention to fairness and access to justice considerations. Her publication record reveals a sustained scholarly trajectory examining the procedural dimensions of patent law, with increasing attention to technology's impact on legal frameworks. Early work focused on foundational patent procedure issues, while more recent scholarship addresses contemporary challenges in fintech, patent venue, and the application of traditional legal doctrines to emerging technology sectors. Her research consistently bridges theoretical legal analysis with practical implications for litigants and courts. Professor La Belle teaches Administrative Law, Advanced Patent Law, Civil Procedure, Federal Courts, and Introduction to Intellectual Property. As an educator, she emphasizes preparing students with analytical, ethical, and pragmatic training necessary for legal practice, while urging consideration of whether the civil system grants equal access to justice and what remedies might address inequities. Her educational philosophy reflects a commitment to developing lawyers who can navigate complex legal frameworks while maintaining awareness of systemic justice issues.

Wonjun Leeمشاهده پروفایل

استادیار

• Artificial Intelligence
• Security Analytics
• Deep Learning
• +۴ مورد دیگر

Wonjun Lee is an Assistant Professor of Artificial Intelligence at the Katz School of Science and Health at Yeshiva University . His academic journey includes a Ph.D. and M.S. from Purdue University (2011 and 2002, respectively) and a B.A. from Korea University (2000). Educational Background Ph.D., Purdue University, 2011 MS, Purdue University, 2002 BA, Korea University, 2000 Dr. Lee specializes in AI-based analytics platforms for multidisciplinary applications, focusing on knowledge-based response systems inspired by human immunology. His work explores scalable AI models for cloud-based information and communication systems (ICS), leveraging lightweight virtualization and microservice architecture. He collaborates with institutions like NOAA , University of Texas at San Antonio (UTSA) , Auburn University , and University of Georgia . His research spans AI-driven cybersecurity, including analysis of malign network traffic and IoT privacy issues. At Samsung , he previously led cybersecurity projects such as mobile app penetration testing and cloud computing assessments. Recent publications highlight his expertise in encrypted network traffic detection using Perlin Noise and CNNs, container rootkit detection, and cache event analysis on AMD Zen micro-architecture. These works reflect his integration of AI with cybersecurity and hardware-level analysis.

• Computer Security
• Operating Systems Security
• Cloud Computing Security
• +۳ مورد دیگر

Jidong Xiao serves as a Senior Lecturer in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI), where he contributes to teaching and research in system security and virtualization technologies. His academic foundation includes a PhD from the College of William and Mary completed in 2016. Education: PhD in Computer Science, College of William and Mary (2016) Dr. Xiao's research spans computer security with specialized expertise in memory safety vulnerabilities, kernel-level security mechanisms, and hardware-assisted protection. His work addresses critical challenges in virtualization security, cloud infrastructure threats, and covert channel exploitation, frequently leveraging Intel platform features for innovative security solutions. Current investigations focus on fuzzing methodologies for use-after-free vulnerabilities and CPU-level covert communications. Analysis of his 15 most recent publications (2017-2024) reveals a sustained emphasis on low-level system security, with 73% of works addressing virtualization/cloud security and 60% exploring hardware-assisted techniques. His research demonstrates consistent progression from foundational virtual machine introspection (2017-2019) toward advanced topics including SGX-based patching (2020-2023) and cutting-edge CPU clock modulation exploits (2024). Scientific Awards: No scientific awards documented in source materials Available information does not specify graduate student supervision or research grant acquisitions. His technical contributions appear primarily through publications rather than advisory roles or funded projects. Laboratory affiliations and research team structures are not referenced in the provided documentation, though his work on Intel platform security suggests potential collaboration with hardware security groups.

Peter M. Chenمشاهده پروفایل

استاد

• Operating Systems
• Distributed Systems
• Virtualization
• +۵ مورد دیگر

Peter M. Chen is the Arthur F. Thurnau Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Michigan, part of the College of Engineering. He leads research in operating systems, distributed systems, and persistent memory technologies. His work includes foundational contributions to virtualization (e.g., ReVirt), reliable memory systems (Rio), and non-volatile memory semantics. He is a member of the Software Systems Lab and collaborates with the Computer Engineering Lab. Education and affiliations: Ph.D. in Computer Science (implied through career trajectory), affiliated with EECS and multiple labs at U-M. His research interests span speculative execution, security in distributed systems, and high-performance storage. He has advised over 20 graduate students, many of whom have contributed to seminal papers in systems research. Awards include the Arthur F. Thurnau Professorship and multiple best paper awards at top conferences like OSDI and SOSP. His work on ReVirt pioneered virtual machine logging for intrusion analysis, and Rio revolutionized reliable memory caching. Current projects focus on persistent memory programming models and wear management in NVM technologies. Key grants and teams: Active in NSF-funded projects on persistent memory systems and security. Collaborates with industry through partnerships in cloud computing and mobile systems optimization. His lab develops open-source tools like Rio and Vista, emphasizing practical system implementations alongside theoretical contributions.

Mark Yampolskiyمشاهده پروفایل

دانشیار

• Cybersecurity
• Additive Manufacturing Security
• Internet of Things (IoT)
• +۴ مورد دیگر

Mark Yampolskiy is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University's Samuel Ginn College of Engineering. His research focuses on cybersecurity in additive manufacturing (AM), internet of things (IoT), and computer networks. Yampolskiy leads efforts to secure AM processes against cyber-physical attacks, including sabotage and data theft. He has received prestigious awards such as the ASTM International Additive Manufacturing Young Professor Award and led high-profile grants totaling over $685,000. Education: Ph.D. in Computer Science, Ludwig Maximilian University M.S. in Computer Science, Technical University Munich B.S. in Applied Mathematics, Moscow State Institute of Radiotechnics, Electronics and Automation Research Interests: Cybersecurity of digital & additive manufacturing IoT security and network defense Cyber-physical system vulnerabilities 3D printing integrity and sabotage detection Key Contributions: Developed frameworks for AM security awareness and threat modeling Pioneered studies on side-channel attacks in manufacturing Co-organized ASTM AM Security Working Groups and AMSec workshops Advocated for legal standards in AM intellectual property protection Awards: ASTM International Additive Manufacturing Young Professor Award America Makes Award ($260k+ for cybersecurity training) NSF Grant ($425k for sabotage prevention research) Labs/Initiatives: Active in Auburn's National Center for Additive Manufacturing Excellence (NCAME), McCrary Institute for Cyber and Critical Infrastructure Security.

Ryan Rileyمشاهده پروفایل

استاد آموزشی

• Computer Security
• Cybersecurity
• Hardware Security
• +۳ مورد دیگر

Ryan Riley is an Assistant/Teaching Professor in the Department of Computer Science at Carnegie Mellon University’s Qatar campus, where he also serves as the Associate Area Head. His expertise lies in cybersecurity, hardware security, and malware analysis. His research interests include: Cybersecurity and hardware security, particularly focusing on Intel SGX and secure enclaves Malware analysis and detection, including kernel-level rootkits and Android native code variants Side-channel attacks and memory access control mechanisms Distributed algorithms in wireless sensor networks Mobile app security, including dynamic code loading and hidden attacks through web interfaces Dr. Riley’s work addresses critical challenges such as cross-layer attack prevention, memory permissions hardening, and data-centric security. His contributions span both theoretical frameworks and practical implementations, emphasizing the importance of secure system design. While specific grant details are not detailed here, his research has explored innovative solutions in hardware-managed isolation, cryptographic techniques, and real-world system vulnerabilities. He has advised students in these areas, though their names are not listed in the provided information.

• Cybersecurity
• Information Security
• IoT Security
• +۶ مورد دیگر

Martina Lindorfer is an Associate Professor at the Department of Security and Privacy, Faculty of Informatics, Technische Universität Wien (TU Wien). Her primary roles include academic research and teaching in cybersecurity, privacy engineering, and IoT security. She coordinates the Women in Informatics initiative and leads research projects addressing critical security challenges across mobile, IoT, and cloud ecosystems. Dr. Lindorfer holds a Dipl.-Ing. (BSc) and a PhD in Technical Informatics from TU Wien (2011 and 2015, respectively). Her research focuses on malware analysis, mobile security, and privacy-preserving technologies. Notable projects include the WWTF-funded IoTIO initiative analyzing IoT device vulnerabilities and the W4MP project exploring cross-platform malware threats. Key research interests span: Cybersecurity frameworks for IoT ecosystems Privacy implications of smart TV protocols (HbbTV) Mobile app vulnerability analysis APT campaign attribution through file forensics Academic cloud migration risks Her work bridges technical analysis with societal impacts, addressing topics like surveillance technology and academic freedom in cloud environments. Lindorfer has supervised over 20 graduate students, with recent theses focusing on rootkit detection, ART-based app diffing, and privacy in configuration repositories. Current grants include: IoTIO (2020–2025): Securing IoT ecosystems W4MP (2023–2027): Cross-platform malware research Browsec (2018–2024): Browser security analysis Her lab develops tools like C2Miner (C2 server detection) and FlowPrint (encrypted network fingerprinting), contributing to both academic and industry standards. Lindorfer actively collaborates with organizations like the European Commission and FFG on cybersecurity policy and threat mitigation strategies.

• Cybersecurity
• 5G Networks
• Edge Computing
• +۴ مورد دیگر

Florian Fankhauser is a PreDoc Researcher at TU Wien's Business Informatics Group. His research focuses on cybersecurity, 5G networks, edge computing, and embedded systems security. He has co-advised multiple diploma theses addressing topics like TrustZone rootkits, TPM 2.0-based security measures, and Android application vulnerability analysis. His work combines theoretical contributions with practical implementations, such as adapting OpenAirInterface for edge computing use cases and developing frameworks for automated security classification. Key research interests include securing IoT devices through low-latency communication protocols and mitigating advanced malware threats in critical systems. He collaborates with Prof. Thomas Grechenig and contributes to interdisciplinary projects bridging telecommunications and cybersecurity domains.

Jing Tianمشاهده پروفایل

استادیار

• Information Security and Assurance
• Networking and Operating Systems
• Hardware Security
• +۳ مورد دیگر

Jing Tian is an Assistant Professor of Computer Science at Purdue University, affiliated with the College of Science. His research focuses on information security, networking, and operating systems, with particular attention to hardware security, USB protocols, and kernel vulnerabilities. Education: Ph.D. in Computer Science from the University of Florida (2019). Research Interests: Includes PCIe authentication, USB security, SGX-based enclave computing, and fuzzing techniques for embedded systems. He co-chaired the SafeThings 2023 workshop on IoT safety and has published extensively on topics like hardware root-of-trust, kernel exploitation, and cryptographic protocol analysis. Teaching and Engagement: Teaches courses on security and operating systems. Maintains an active blog discussing technical topics such as USB Type-C authentication, kernel build processes, and syscall hijacking. Affiliations: Involved in projects related to Intel SGX Card security, Linux kernel development, and secure IoT frameworks. Hosts a lab focusing on applied security research.

Eddie Kohlerمشاهده پروفایل

استاد

• Computer Science
• Systems
• Networks
• +۵ مورد دیگر

Eddie Kohler is the Microsoft Professor of Computer Science at Harvard University's Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), where he also serves as Director of Undergraduate Studies in Computer Science. His research focuses on high-performance systems, networks, and databases with an emphasis on concurrency control, data privacy, and scalable software design for multicore processors. He has contributed to foundational work in transactional systems, web application backends (e.g., Noria), and privacy-preserving technologies (e.g., Edna). His research spans theoretical frameworks like the Scalable Commutativity Rule and practical implementations such as the Alto lightweight virtualization system. Kohler's work often bridges theory and practice, addressing challenges in distributed systems, sensor networks, and regulatory compliance (e.g., GDPR). Notable contributions include innovations in in-memory database concurrency, optimistic transaction processing, and network congestion control protocols (e.g., TFRC-SP). His projects frequently emphasize system correctness through formal verification and empirical evaluation. His articles reflect a trajectory from foundational concurrency research to applied systems engineering, with recent focus on privacy in web applications and optimizing modern multicore architectures. No specific grants or advisees are listed in the provided information. Kohler leads research initiatives in scalable systems and maintains active collaboration with industry through his academic leadership roles.

• Cybersecurity
• Android OS
• Machine Learning
• +۳ مورد دیگر

Marco ALECCI is a Doctoral Researcher at the University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT), within the Trustworthy Software Engineering & mobile security research group (TruX). He is advised by Prof. Jacques Klein and works under the guidance of Prof. Tegawende Bissyande. AEU graduated with a Master’s degree from the University of Padua (Italy) in 2022. His research focuses on cybersecurity, particularly Android OS security and machine learning applications in threat detection. His academic background includes studies at the University of Padua, culminating in a Master’s degree. His work spans adversarial machine learning, Android malware analysis, and regulatory compliance (e.g., GDPR). He has contributed to projects like AndroZoo, a large-scale Android app dataset, and explored novel attack vectors such as virtualization-based exploits (e.g., Mascara). Marco’s publications reflect a trend toward practical cybersecurity challenges, including adversarial robustness, Android app categorization, and payment system vulnerabilities. His research bridges theoretical machine learning advancements with real-world security applications. He is affiliated with the TruX group, which specializes in trustworthy software engineering and mobile security, fostering collaborative research on emerging threats and mitigation strategies.

Amin Kharrazمشاهده پروفایل

استادیار

• Cybersecurity
• Data-Driven Security
• Malware Analysis
• +۳ مورد دیگر

Dr. Amin Kharraz is Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. His research develops systems for data-driven security analysis of evolving cyber threats. Key research areas: Automated detection and mitigation of online attacks Malware behavior analysis at scale Vulnerability discovery in web ecosystems Privacy-enhancing browser technologies Social engineering in software supply chains Recent publications advance in-kernel forensics for evasive attacks and isolated browsing environments for privacy protection. Research addresses security challenges at the intersection of technology and society.

Sergey Bratusمشاهده پروفایل

دانشیار

• Cybersecurity
• Exploitation techniques
• Rootkit/Bootkit analysis
• +۷ مورد دیگر

Sergey Bratus is an Associate Professor of Computer Science and Dartmouth College Distinguished Professor in Cyber Security, Technology, and Society. He holds a Ph.D. in Mathematics from Northeastern University. His primary affiliation is the Department of Computer Science at Dartmouth College. Bratus' research focuses on cybersecurity fundamentals, including Unix/Linux kernel security, software verification, malware analysis, and reverse engineering at kernel/firmware levels. He emphasizes connecting hacking practices to core computer science principles, advocating for 'weird machines' research and language-theoretic security (LangSec). He taught courses like Basics of Cyber Exploitation, Programming Languages, and Network Security Readings. His work includes DARPA-funded research programs in cybersecurity resilience and critical software sustainment. Notable projects include fragroute/fragrouter tools for network traffic manipulation and contributions to passive covert channel analysis. Labs/Teams: Active in Dartmouth's cybersecurity research groups, affiliated with LangSec initiatives and the 'Weird Machines' research collective. Maintains a personal website with extensive technical resources and course materials.