جست‌وجوی استاد و پژوهشگر

Sai Mounika Errapotuمشاهده پروفایل

استادیار

• Cybersecurity
• Privacy Preservation
• Smart Grid Security
• +۶ مورد دیگر

Sai Mounika Errapotu is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). She leads the Cyber Physical Systems Privacy and Security Enhanced Computing (CyPSEC) Lab, focusing on developing practical security and privacy solutions for hardware and software systems in distributed networks, IoT, and smart grids. Her research integrates cryptography, differential privacy, and optimization to address emerging challenges in cyber-physical systems. Education: Ph.D. in Electrical and Computer Engineering (University of Houston, 2018), B.Tech. in Electronics and Communication Engineering (Jawaharlal Nehru Technological University, 2013). Postdoctoral work: AI, Networking Technologies, and Security Lab, University of Houston (2018–2019). Her research interests span cybersecurity, privacy-preserving protocols, trust modeling, and optimization in smart grids, IoT, and wireless networks. She emphasizes application-specific solutions that balance security, privacy, and scalability. Recent articles highlight advancements in intrusion detection via GANs and neural networks, smart home IoT security protocols, and privacy-preserving techniques in healthcare and transportation systems. Major Grants: $782,500 ARL grant for GAN-based intrusion detection, $1.1M DOE NNSA consortium for power systems, and $140K PNNL grant for healthcare synthetic data. Awards: Miguel Izquierdo Teaching Excellence Award (2021), Rising Stars Award, and Best Dissertation Award (2018). Advising highlights include mentoring students like Humaira (CPS Rising Star), Nicholas Lopez (M.S. grad in IoT security), and Ismael Holguin (LLNL intern). The CyPSEC Lab actively publishes in IEEE and NAPS conferences, addressing vulnerabilities in protocols like DNP3 and smart home IoT systems. Labs/Teams: CyPSEC Lab focuses on bridging theory and practice in CPS security, collaborating with industry partners and national labs.

Milton Muellerمشاهده پروفایل

استاد

• Internet Governance
• Cybersecurity
• Public Policy
• +۵ مورد دیگر

Milton Mueller is a Professor of Public Policy at the Jimmy and Rosalynn Carter School of Public Policy at Georgia Institute of Technology. He specializes in the political economy of digital technologies, focusing on global governance frameworks for the internet, cybersecurity, and policy related to domain names and telecommunications. Mueller holds a Ph.D. from the Annenberg School at the University of Pennsylvania (1989). His research explores the intersection of technological innovation and governance, emphasizing how governments, civil society, and private sector actors shape internet policies. Key areas include ICANN reforms, digital sovereignty debates, and the economic dynamics of internet infrastructure. He co-founded the Internet Governance Project (IGP), which analyzes global internet policies and engages in multilateral forums like the UN and ICANN. Mueller’s work bridges academic scholarship and practical policy influence. His books include *Networks and States* (2010), *Will the Internet Fragment?* (2017), and the upcoming *Declaring Independence in Cyberspace* (2025). His recent publications address AI governance, cybersecurity institutional design, and the geopolitical dimensions of digital trade. Notable contributions include analyses of IPv6 adoption economics, TLS 1.3 standardization debates, and the impact of deep packet inspection on net neutrality. He has advised on ICANN stewardship transitions, cybersecurity attribution mechanisms, and GDPR-compatibility issues in domain name systems. Mueller teaches courses on telecommunications policy, information security, and digital public policy. His lab, the Internet Governance Project, fosters interdisciplinary research and student engagement in global governance challenges.

Juraj Somorovskyمشاهده پروفایل

استاد

• System Security
• Network Security
• Cryptography
• +۳ مورد دیگر

Prof. Dr.-Ing. Juraj Somorovsky is a faculty member at Paderborn University, serving as Head of the System Security department within the Faculty of Computer Science, Electrical Engineering and Mathematics. His work focuses on practical security analysis and censorship circumvention techniques. Academic Rank: Professor Department: Computer Science Office: F2.315, Fürstenallee 11, Paderborn Research Interests span multiple subfields of cybersecurity including: Internet censorship resistance TLS protocol security 3D printing vulnerabilities E-learning platform security Network traffic obfuscation Cyber-physical system threats Recent publications demonstrate expertise in combining applied cryptography with practical security analysis. He leads the System Security group and contributes to the NERD postgraduate research training group focused on digitalization challenges.

Jianliang Wuمشاهده پروفایل

استادیار

• Systems Security and Privacy
• Formal Analysis
• Machine Learning Security and Privacy
• +۴ مورد دیگر

Jianliang Wu is an Assistant Professor in the School of Computing Science at Simon Fraser University. His research focuses on systems security and privacy, formal analysis, and machine learning security. He holds a PhD from Purdue University (2022), and MSc and BSc from Shandong University (2015 and 2012). His research interests include Bluetooth security, IoT privacy, and formal methods for protocol analysis. He teaches courses such as Network Security, Software Security, and Networks, including CMPT 403 (System Security and Privacy) and CMPT 479 (Special Topics in Computing Systems). His work spans both theoretical and applied cybersecurity, with a strong emphasis on real-world system vulnerabilities and mitigation strategies. Recent research highlights include systematic reviews of Bluetooth protection strategies, analyses of IoT data exposure via companion apps, and formal model-driven discovery of protocol design flaws. His contributions address critical challenges in wireless communication security and IoT ecosystem vulnerabilities. No scientific awards are explicitly mentioned in the provided text. Advising and grants details are not available here. He is affiliated with the School of Computing Science, which hosts labs like the Tangent Lab, though direct lab affiliations for Wu are not specified.

Nguyen Phong Hoangمشاهده پروفایل

استادیار

• Network Security
• Online Privacy
• Internet Measurement
• +۳ مورد دیگر

Nguyen Phong Hoang is an Assistant Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Systopia Lab and Security and Privacy Group. His research focuses on network security, online privacy, and Internet measurement, with particular emphasis on improving networked system security and reinforcing privacy through large-scale data collection. He has pioneered projects like GFWeb and GFWatch to measure China’s Great Firewall and other censorship mechanisms. Prior to UBC, he was a Postdoctoral Scholar at the University of Chicago under Prof. Nick Feamster, and completed his PhD at Stony Brook University under Prof. Michalis Polychronakis. His work has been supported by the OTF’s Information Controls Fellowship, enabling collaborations with groups like the Citizen Lab (U of Toronto) and UMass Amherst. He currently teaches courses on computer networking and network security at UBC. Research interests include DNS censorship detection, domain name encryption protocols (e.g., DNS-over-HTTPS), and methods to evade Internet censorship. His publications analyze global network interference, connection tampering, and the impact of encryption protocols on censorship resistance. He has developed tools like GFWeb’s interactive dashboard for longitudinal censorship monitoring and contributed to improving I2P (Invisible Internet Project) resilience against surveillance. Phong has also served on program committees for major conferences including IEEE S&P, USENIX Security, and IMC. Phong’s academic journey includes time at Kyoto University and JAIST in Japan, where he explored location privacy in dating apps and network anonymity. His interdisciplinary approach bridges technical cybersecurity solutions with policy implications, contributing to both academic discourse and public understanding of Internet freedom challenges.

Shan Chenمشاهده پروفایل

استادیار

• Cryptography
• Information Security
• Computer Science
• +۲ مورد دیگر

Shan Chen is an Assistant Professor at the Southern University of Science and Technology (SUSTech) , Shenzhen, China, with research expertise in Cryptography and Information Security , particularly focused on real-world applications and secure protocols. Ph.D. in Computer Science , Georgia Institute of Technology (2020) MEng in Computer Science and Technology , Tsinghua University (2014) BSc in Mathematics and Applied Mathematics , Beijing Normal University (2011) His research addresses practical challenges in cryptographic protocol design, including security analysis of TLS 1.3 and QUIC, causality preservation in secure messaging, and committing authenticated encryption. Key trends include improving protocol efficiency while maintaining provable security against real-world adversaries. He leads the Applied Cryptography Group and teaches courses like Algorithm Design and Analysis and Discrete Mathematics . Contact: chens3@sustech.edu.cn

Adam Batesمشاهده پروفایل

دانشیار

• Data Provenance
• Cybersecurity
• Computer Systems
• +۷ مورد دیگر

Adam Bates is an Associate Professor at the University of Illinois at Urbana-Champaign, with affiliations in the Department of Computer Science and the Electrical & Computer Engineering Department. His research focuses on data provenance, cybersecurity, and secure system design. He received his PhD from the University of Florida under Professor Kevin Butler, collaborating with the Florida Institute for Cybersecurity Research. His work addresses security challenges in SSL/TLS, cloud computing, USB attack vectors, and telephony infrastructure, with notable contributions to provenance-aware systems. Education: PhD in Computer Science (University of Florida, advised by Kevin Butler) Research Interests: Secure data provenance systems Endpoint detection and response Privacy in smart homes and IoT Serverless computing security USB and cloud security Scientific Awards: NSF CISE Research Initiation Initiative (CRII) Award (2017) NSF CAREER Award (2018) Labs & Teams: Principal Investigator at the STS Lab

Kevin Röbertمشاهده پروفایل

پژوهشگر

• Privacy-Preserving Techniques
• Decentralized Systems
• P2P Networks
• +۴ مورد دیگر

Kevin Röbert is a Researcher and PhD Student in the Computer Networks research group at the University of Hamburg's Department of Informatics, within the Faculty of Mathematics, Informatics and Natural Sciences. He holds a Master's degree (2022) and a Bachelor's degree (2019), both from the University of Hamburg. His research focuses on privacy-preserving techniques in decentralized systems, P2P networks, and edge computing. Notable contributions include work on untrustworthy environments, encrypted endpoint security, and latency-aware edge computing protocols. Education: Master's degree in Informatics, University of Hamburg, 2022 Bachelor's degree in Informatics, University of Hamburg, 2019 Research Interests: Kevin's work spans privacy-enhancing technologies, secure edge computing systems, and decentralized network architectures. He explores topics such as data anonymization in P2P networks, real-time scheduling for edge applications, and mitigating bot automation threats in online services. Publications: His recent work includes advancements in overlay networking middleware for edge applications, dynamic access control for data sharing, and latency-optimized TLS protocols. His 2024 paper on educational reform highlights innovative pedagogical approaches in computer science education. Lab/Team: Kevin is part of the Computer Networks group led by Prof. Mathias Fischer, collaborating with researchers like Dr. Heiko Bornholdt on projects involving network security and decentralized systems.

• Forest Engineering
• Timber Harvesting Systems
• Work Safety in Forestry
• +۴ مورد دیگر

Karl Stampfer is a Professor of Forest Engineering at the Institute of Forest Engineering within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). Appointed in 2012, he leads research on digital transformation in forestry operations with emphasis on work safety, steep-terrain harvesting, and climate-resilient infrastructure. His work bridges engineering practice and academic innovation through the Forest Demonstration Centre. His academic credentials include a Diploma (1991), Doctoral degree (1996), and Habilitation (2002), all from BOKU. Career progression shows continuous engagement: University assistant at the Institute of Forest Engineering from 1993, culminating in his full professorship. Stampfer's research focuses on Forest Engineering with three core pillars: (1) Timber harvesting system optimization for steep terrain using winch-assisted and cable yarding technologies, (2) Work safety through UWB sensors and causal accident modeling, and (3) Digitalization via laser scanning (TLS/ALS) for forest inventory, road monitoring, and digital twin development. His work integrates sustainable resource management with practical industry applications. Analysis of his 78 publications reveals a strong 2022-2024 trend: digital tools dominate 65% of outputs, particularly LiDAR for danger zone monitoring and climate adaptation. Safety research comprises 25%, with accident counterfactuals and ergonomic analysis. The remaining 10% addresses biomass logistics and road engineering, reflecting his multidisciplinary approach to European mountain forestry challenges. Scientific recognition includes: Promotion Award of the Foundation '120 Years of University of Natural Resources and Life Sciences, Vienna' (2002) Schrödinger Fellowship at ETH Zurich's Professorship for Forest Engineering (1997) Promotion Award of the Austrian Society for Occupational Medicine (1996) He has supervised numerous theses with no publicly listed advisees. Grant activity centers on externally funded research reports (e.g., SafeForests, LaDiWaldi) despite zero ongoing projects shown. Collaborations with AUVA, Land Kärnten, and international consortia like IUFRO drive his practical knowledge transfer to forest associations and policymakers. Stampfer operates within BOKU's Forest Demonstration Centre and co-leads the HCAI-Lab with Andreas Holzinger. His team specializes in field validation of digital tools, including the Seilgerätesimulator (VR training) and UWB danger zone monitors. Current work targets autonomous harvesting systems and AI explainability for accident prevention, as evidenced by 2025 presentations at FORMEC and Woodmaster events.

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.

David R. Matosمشاهده پروفایل

استادیار

• Distributed Systems
• Cybersecurity
• Cloud Computing
• +۲ مورد دیگر

David R. Matos is an Assistant Professor at the College of Engineering, University of Lisbon, and a researcher at the Distributed, Parallel and Secure Systems Group (DPSS) of INESC-ID. He is also a member of the BIG ERA Chair Team. His primary research interests include distributed systems, cybersecurity, and cloud computing, with a specific focus on intrusion recovery mechanisms for cloud environments and microservice architectures. Education: BSc in Informatics Engineering, University of Lisbon MSc in Informatics Engineering, University of Lisbon PhD in Computer Sciences and Engineering, Instituto Superior Técnico His research applies machine learning techniques to associate application requests with database statements, enabling identification and reversal of malicious operations. Key themes include decentralized storage, blockchain recovery, secure communication protocols, and pluggable intrusion recovery systems. David has contributed to projects such as PATI, SITAN, SafeCloud, SEAL, and the BIG ERA Chair. He developed the Rectify system for intrusion recovery in PaaS clouds, which is deployable alongside applications without software modifications.

Gerhard Kirchmairمشاهده پروفایل

استاد

• Quantum Optics
• Superconducting Circuits
• Quantum Information
• +۴ مورد دیگر

Prof. Gerhard Kirchmair is a faculty member at the University of Innsbruck, leading the Kirchmair Lab within the Department of Quantum Optics and Quantum Information. He specializes in superconducting quantum circuits and circuit quantum electrodynamics (cQED), focusing on quantum information processing, quantum simulation, and optomechanical systems. His research includes developing platforms for analog quantum simulation using superconducting qubits, magnetomechanical systems for quantum transduction, and bistable Josephson junction arrays. His lab emphasizes experimental work with cutting-edge techniques in nanofabrication, low-temperature physics, and microwave engineering. Notable projects involve single-photon cooling in magnetomechanics, coherent control of multi-qubit dark states, and the creation of 'hot' Schrödinger cat states in thermal environments. Prof. Kirchmair advises numerous PhD and Master’s students, fostering a collaborative environment for advancing quantum technologies. Key achievements include pioneering work on nonlinear cavity designs and scalable quantum measurement systems. His group actively collaborates on global initiatives in quantum computing and quantum sensing, with publications in top journals like Nature Physics and Physical Review Letters .

Michael Devetsikiotisمشاهده پروفایل

استاد

• Telecommunication Networks
• Smart Grid Communications
• Cyber-Physical Systems
• +۵ مورد دیگر

Michael Devetsikiotis is a Professor and Chair of the Department of Electrical and Computer Engineering at the University of New Mexico (UNM), part of the School of Engineering. He holds a Ph.D. from North Carolina State University (1993). His career includes roles as an Assistant/Associate Professor at Carleton University (1996–1998), Associate/Professor at North Carolina State (2000–2016), and leadership in UNM's ECE Department since 2016. He specializes in telecommunication networks, smart grids, IoT, and quantum information science. Education: Ph.D. in Electrical Engineering, North Carolina State University, 1993 M.S. in Electrical Engineering, North Carolina State University, 1990 Dipl. Ing. in Electrical Engineering, Aristotle University of Thessaloniki, Greece, 1988 Research Interests: Focuses on network design, smart grid communications, cyber-physical systems, and quantum technologies. He has published over 180 refereed papers and secured funding from NSF, NSERC, Cisco, and IBM. Notable projects include leading UNM’s Quantum Information Science program and managing the $20M NSF EPSCoR “SMART” Grid initiative. Articles Trends: Recent work emphasizes AI-driven network management (e.g., LSTM models for 5G/6G), blockchain for secure IoT/satellite systems, and quantum computing. Earlier contributions addressed EV charging infrastructure and smart grid resilience. Scientific Awards: IEEE Fellow (2012) NC State ECE Alumni Hall of Fame (2017) Advising & Grants: Directed UNM’s NSF Quantum Computing Faculty Fellowship (2020), enabling hires in quantum engineering. Previously managed a 800-student ECE graduate program at NC State. Active in IEEE leadership roles, including Distinguished Lecturer (2008–2011) and Chair of flagship conference committees. Labs & Teams: Spearheaded UNM’s IBM Q-Hub affiliation (2020), advancing quantum research collaboration. Leads interdisciplinary teams for smart city defense, blockchain energy markets, and 6G network automation.

Aurélien Francillonمشاهده پروفایل

استاد

• Cybersecurity
• Embedded Systems Security
• Software Security
• +۳ مورد دیگر

Aurélien Francillon is a full professor in the Networking and Security Department at EURECOM, France. His research focuses on embedded systems security, software security, and telecom fraud. He holds a PhD from INRIA Grenoble and previously worked as a postdoc at ETH Zurich's System Security Group. Education & Experience: PhD in Computer Science, INRIA Grenoble Postdoctoral Researcher, ETH Zurich (2013-2015) Current Position: Full Professor at EURECOM Research Interests: His work addresses critical challenges in securing embedded systems, firmware analysis, side-channel attacks, and telecom fraud. He pioneers tools like Avatar2 for firmware analysis and explores vulnerabilities in Bluetooth, TLS, and CI/CD systems. His methodologies emphasize reproducibility (BEERR framework) and automation (LibAFL QEMU). Labs & Collaborations: Collaborates with industry partners like Intel Labs, SAP Security Research, and Cisco Talos. His lab leads open-source projects including SymCC, LibAFL, and X-Ray-TLS. Advises over 20 PhD/Master students and postdocs, many now in academia and industry. Awards & Recognition: (No explicit awards listed, but extensive contributions to top-tier security conferences and open-source frameworks.) Grants & Funding: Secures funding through European Research Council grants and industry partnerships for projects on firmware security, IoT vulnerabilities, and CI/CD pipeline integrity.

Shuang Haoمشاهده پروفایل

دانشیار

• Security and Privacy
• AI Techniques in Cybersecurity
• Adversarial Attacks
• +۳ مورد دیگر

Shuang Hao is an Associate Professor in the Department of Computer Science at the University of Texas at Dallas , affiliated with the Erik Jonsson School of Engineering & Computer Science . He leads research at the intersection of cybersecurity and artificial intelligence. Undergraduate: Tsinghua University PhD: Georgia Institute of Technology (advisor: Nick Feamster) Postdoc: University of California, Santa Barbara (collaboration with Giovanni Vigna and Christopher Kruegel) His research focuses on security and privacy , particularly data-driven and AI-based techniques to combat adversarial attacks, illicit activities, and vulnerabilities in digital infrastructure. Key areas include AI security , big data security , and next-generation network systems . Recent publications analyze ad attribution laundering , AI-synthesized face detection , and machine unlearning vulnerabilities . Awards include the NSF CAREER Award (2022) and IETF Applied Networking Research Prize (2020) . He mentors PhD, Master’s, and undergraduate students , including Matthew Joslin, Xian Wang, and Melissa Fulfer. Courses taught include CS 6349: Network Security and CS 4390: Computer Networks . Media coverage spans MIT Technology Review , Wired , and The Wall Street Journal . His work exposes threats in Zigbee protocols , DNS resolution interception , and ultrasound cross-device tracking .