جست‌وجوی استاد و پژوهشگر

Difan Zouمشاهده پروفایل

استادیار

• Machine Learning Theory
• Deep Learning Theory
• Optimization Algorithms
• +۵ مورد دیگر

Dr. Difan Zou is an Assistant Professor in the Department of Computer Science at the University of Hong Kong's School of Computing and Data Science. He holds a PhD in Computer Science from UCLA and degrees in Applied Physics and Electrical Engineering from the University of Science and Technology of China (USTC). His research focuses on machine learning theory, optimization, and learning structured data such as time-series and graph data, with an emphasis on understanding deep learning's theoretical underpinnings like optimization trajectories and generalization properties. Dr. Zou's academic background includes a B.S. from USTC's School of Gifted Young (Applied Physics) and a M.S. in Electrical Engineering from the same institution. His work bridges theoretical foundations and practical applications, addressing challenges in adversarial robustness, algorithm design for deep neural networks, and explainable machine learning systems in healthcare and finance. His research projects aim to establish rigorous frameworks for deep learning optimization, develop efficient training algorithms, and integrate conventional statistical models with machine learning for improved interpretability. He has received the Bloomberg Data Science Ph.D. Fellowship and has contributed to top-tier conferences like ICML, NeurIPS, and ICLR.

Richard Evansمشاهده پروفایل

دانشیار

• Digital Innovation
• Human-Computer Interaction (HCI)
• Visualization
• +۶ مورد دیگر

Richard Evans is an Associate Professor in Digital Innovation at the Faculty of Computer Science, Dalhousie University, where he contributes to research and teaching in digital transformation, human-computer interaction, and information management. He is actively involved in the IEEE Technology and Engineering Management Society, currently co-chairing the Design and Engineering Technical Activity Committee and serving on the editorial board of IEEE Transactions on Engineering Management . His educational background includes a PhD in Knowledge Management for Collaborative Product Design from the University of Greenwich (2013), a PG Cert in Higher Education (2015), an MSc from the University of Wales (2010), and a BA (Hons.) from the University of Exeter (2008). Richard's research focuses on digital innovation and transformation, with strong emphasis on design and engineering management, information systems, and knowledge management in distributed environments. His work bridges academic research and industrial applications, particularly in aerospace and manufacturing sectors. He has published over 90 scientific papers and helped co-found the International Conference on Artificial Intelligence for Good , highlighting his commitment to socially beneficial technology. His research output spans topics such as collaborative systems, user-centered design, and knowledge modeling, indicating a consistent trajectory toward human-centric technological innovation and digital transformation strategies. University of Greenwich prize for Best PhD student in 2013 Richard has supervised and mentored students at various levels during his tenure at multiple institutions including Brunel University London, University of Westminster, and Dalhousie University. He has secured research funding through industrial partnerships such as BAE Systems and has built a global network of academic and industry collaborators. His work often involves interdisciplinary grants focused on engineering management, digital design, and AI for societal good. Richard is affiliated with key research clusters in HCI, Visualization & Graphics at Dalhousie and leads initiatives connecting design, engineering, and digital innovation. He collaborates with international teams through IEEE and co-founded a major conference promoting ethical AI, demonstrating strong leadership in building research communities.

Jung Soo Limمشاهده پروفایل

استادیار

• Internet of Things
• Cyber-Physical Systems
• Wireless Networking
• +۶ مورد دیگر

Jung Soo Lim is an Assistant Professor in the Department of Computer Science at California State University, Los Angeles, within the College of Engineering, Computer Science, and Technology. He earned his B.S. from Cal State LA and M.S. and Ph.D. from UCLA, returning to his alma mater as a part-time lecturer in 2014 before transitioning to a full-time assistant professor role in 2019. Education: B.S. (Cal State LA), M.S. (UCLA), Ph.D. (UCLA) His research focuses on Internet of Things (IoT) , Cyber-Physical Systems , Wireless Networking , Software Engineering , and Medical Computing . He has active projects in IoT applications for healthcare, urban safety, and wastewater monitoring, including the Center for Inclusive Computing (CIC) Transfer Pathways Project. Recent publications highlight interdisciplinary work bridging IoT, healthcare diagnostics, and smart city infrastructure. Notable topics include stroke detection algorithms , IoT communication protocols , and sensor-based environmental monitoring . Scientific Awards: Outstanding Senior at Cal State LA (1997) He teaches core computer science courses such as Computer Programming Fundamentals and Analysis of Algorithms, and actively mentors graduate students. His lab focuses on developing embedded systems and IoT solutions for real-world challenges.

• International Law
• Foreign Relations Law
• Constitutional Law
• +۵ مورد دیگر

Jean Galbraith is a Professor at the University of Pennsylvania Carey Law School . Her scholarship focuses on the intersection of international law , foreign relations law , constitutional law , and human rights . Key areas include treaty design, separation of powers, administrative law, and domestic implementation of international obligations.

Mike Rosulekمشاهده پروفایل

استاد

• Cryptography
• Secure Multi-Party Computation
• Private Set Intersection
• +۳ مورد دیگر

Mike Rosulek is a Professor at Oregon State University's School of Electrical Engineering and Computer Science. He is a leading expert in cryptographic protocols for secure computation, with a focus on practical applications of garbled circuits, oblivious transfer, and private set intersection. His work bridges theoretical and applied cryptography, and he has authored the textbook The Joy of Cryptography , set for a revised print edition by MIT Press in December 2025. Research Interests Secure Multi-Party Computation Garbled Circuit Optimization Private Set Intersection Malicious Adversary Resistance Cryptographic Primitives Post-Quantum Security Rosulek has mentored numerous PhD and Master's students, including Ni Trieu , Lawrence Roy , and Jaspal Singh . His research is supported by grants from the NSF, Google, and Visa Research. Notable achievements include best paper honorable mentions at Crypto 2021 and the development of the first practical garbled neural networks. Scientific Awards NSF CAREER Award Google Faculty Research Award Visa Research Faculty Award Rosulek actively contributes to the cryptographic community through program committee roles at top conferences and co-organizing workshops like CFAIL. He also maintains an annotated bibliography of secure computation research and provides mentorship materials for graduate students.

Cristina Nita-Rotaruمشاهده پروفایل

استاد

• Cybersecurity
• Distributed Systems
• Computer Networks
• +۵ مورد دیگر

Cristina Nita-Rotaru is a tenured Professor of Computer Science at Northeastern University's Khoury College of Computer Sciences , where she leads the Network and Distributed Systems Security Laboratory (NDS2) and is a founding member of the Cybersecurity and Privacy Institute . Previously, she was a faculty member at Purdue University from 2003 to 2015. Education: Ph.D. in Computer Science from Johns Hopkins University M.S. in Computer Science from Politehnica University of Bucharest , Romania Research Focus: Her research lies at the intersection of cybersecurity , distributed systems , and computer networks . She designs and builds resilient distributed systems and network protocols that maintain security, availability, and performance despite faults, misconfigurations, and attacks. Her work integrates formal methods , adversarial testing , blockchain security , and trustworthy AI . Funding & Impact: Her research has been supported by NSF , DARPA , ONR , Google , Ethereum Foundation , and others. She has received numerous awards, including the NSF CAREER Award (2006) and multiple best paper awards at top venues like NDSS , ACM CCS , and IEEE S&P . Scientific Awards: NSF CAREER Award (2006) NETYS 2023 Best Paper Award ACM SACMAT 2022 Best Paper & Test-of-Time Awards IEEE SafeThings 2019 Best Paper Award NDSS 2018 Best Paper Award ISSRE 2017 Best Paper Award DSN 2015 Best Paper Award IETF/IRTF Applied Networking Research Prize (2016, 2018, 2025) Purdue College of Science Research Award (2013) Purdue Excellence in Research Award (2012) Purdue College of Science Leadership Award (2012) Purdue College of Science Undergraduate Advising Award (2008) Purdue Teaching for Tomorrow Award (2007) Advising & Students: She has advised over 30 PhD and MS students at Northeastern and Purdue. Notable former students include Reza Curtmola (NJIT Professor) , Endadul Hoque (Syracuse University Assistant Professor) , and Max von Hippel (Bencify founding partner) . Labs & Teams: She directs the NDS2 Lab , focusing on network and distributed systems security, with projects spanning blockchain protocols , SDN security , IoT and connected cars , and formal verification of protocols .

Wenjing Raoمشاهده پروفایل

دانشیار

• VLSI Test
• Fault-Tolerance
• Reliability
• +۳ مورد دیگر

Wenjing Rao is an Associate Professor at the Department of Electrical and Computer Engineering, College of Engineering, University of Illinois at Chicago (UIC). Her research focuses on VLSI test, fault-tolerance, reliability, and hardware security in emerging nanoelectronic systems. Education: Ph.D. in Computer Science from University of California, San Diego (2008) B.S. in Computer Science from Peking University (2001) Her work explores novel computation paradigms through physical unclonable functions (PUFs), defect-tolerant logic implementation, and scalable fault tolerance in many-processor arrays. Publications emphasize hardware security, reconfiguration strategies, and reliability challenges in nanoscale architectures. Notable honors include the 2017 Harold A. Simon Award for Excellence in Teaching and the 2012 NSF CAREER Award. She has contributed to key journals like IEEE Transactions on Computer-Aided Design and conferences including DATE, ASPDAC, and NANOARCH.

Eddie C. Redمشاهده پروفایل

دانشیار

• Computational Physics
• Quantum Mechanics
• Atomic Physics
• +۳ مورد دیگر

Eddie C. Red is an Associate Professor of Mathematics and Computational Sciences at Morehouse College , where he currently serves as the Interim Dean of the Science, Technology, Engineering, and Mathematics (STEM) Division. He earned his B.S. from Morehouse College (class of 2000) , followed by his M.S. and Ph.D. from Florida Agricultural and Mechanical University . Dr. Red also completed post-doctoral education at Lawrence Berkeley National Laboratory . Interim Dean, STEM Division Former Chair, Mathematics and Computational Science Division Former Chair, Physics & Dual-Degree Engineering Department Dr. Red’s research interests bridge atomic physics, quantum mechanics, and computational modeling , with a focus on: Photoionization cross-sections Bound states in the continuum Velocity map imaging techniques Mathematical formulations for quantum operators His work has resulted in publications in Physical Review A, Communications Physics, and the Journal of Physics B , alongside numerous conference presentations. Dr. Red has led the NuMaSS (Nuclear, Materials, and Space Science) Summer Enrichment Program for K-12 students and directed the Research Experience with Diversification Laboratory , emphasizing student training and research. Scientific awards include: Principal Investigator for Department of Energy National Nuclear Security Administration awards Dr. Red has served on multiple faculty governance committees, including the Admissions Committee , Faculty Grievance Committee , and Faculty Research Committee .

Riad S. Wahbyمشاهده پروفایل

استادیار

• Cryptography
• Blockchain Security
• Secure Hardware Systems
• +۱۱ مورد دیگر

Riad S. Wahby is an Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University's College of Engineering. His work focuses on designing secure hardware and software systems, with recent emphasis on cryptographic proof systems. He actively mentors PhD students and collaborates across disciplines in cybersecurity, blockchain, and formal verification. PhD in Computer Science, Stanford University MEng in Electrical Engineering, Massachusetts Institute of Technology SB in Electrical Engineering, Massachusetts Institute of Technology Wahby's research spans cryptography , blockchain security , zero-knowledge proofs , and secure hardware-software co-design . His work addresses challenges in verifiable computation, privacy-preserving protocols, and hardware subversion resistance. Recent publications reveal trends in zero-knowledge proof systems (SNARKs, MPC), blockchain security (anonymous blocklisting, decentralized auctions), and hardware-crypto integration (weird machines, verifiable ASICs). Technical focus areas include formal verification, side-channel analysis, and cryptographic compilers. Distinguished Student Paper Award, IEEE Symposium on Security and Privacy (Oakland16), 2016 Best Paper Award, USENIX Annual Technical Conference (ATC18), 2018 Wahby collaborates with researchers across institutions and industries, including Dan Boneh at Stanford, Mike Walfish at NYU, and Silicon Labs in industrial roles. His CyLab affiliations connect him to over $400K in seed funding opportunities and blockchain initiatives at CMU.

Julia Lenمشاهده پروفایل

استادیار

• Applied Cryptography
• Computer Security
• Secure Communication
• +۷ مورد دیگر

Julia Len is an Assistant Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill, where she conducts research in applied cryptography and computer security. She co-leads the Cryptography Group with Saba Eskandarian and is currently recruiting Ph.D. students for Fall 2026. She earned her Ph.D. in Computer Science from Cornell University in 2024 under the supervision of Tom Ristenpart, following a B.S. in Computer Science from UC San Diego in 2018, where she worked with Mihir Bellare. Before joining UNC, she was a METEOR postdoctoral fellow at MIT. Her research focuses on improving the security and privacy of deployed cryptographic protocols, particularly in end-to-end encrypted messaging. Key areas include interoperability, abuse prevention, key transparency, and authenticated encryption. She applies principled approaches ranging from identifying flaws in existing protocols to designing new cryptographic schemes and definitions. Her recent publications span top venues such as USENIX Security, CCS, Eurocrypt, and Crypto, demonstrating a strong and consistent research output in applied cryptography. Trends in her work show increasing focus on real-world protocol design, security analysis of widely used schemes, and privacy-preserving moderation mechanisms for secure communication platforms. METEOR Postdoctoral Fellow at MIT Julia Len has advised and collaborated with numerous researchers; current advisees are being recruited for Fall 2026. She has received research support through collaborations with industry partners including Zoom, Microsoft Research, and Meta. Her work on Partitioning Oracle Attacks has led to updates in Shadowsocks, age, OPAQUE, and HPKE, demonstrating significant real-world impact. She co-leads the Cryptography Group at UNC Chapel Hill, fostering research and education in cryptography. She also serves on the program committees of IEEE S&P 2026, USENIX Security 2025, and CATS 2023, contributing to the broader academic community.

Brad Rileyمشاهده پروفایل

پژوهشگر ارشد

• Climate Change
• Renewable Energy
• Energy Policy
• +۵ مورد دیگر

Brad Riley is a Research Fellow at the Australian National University's Centre for Aboriginal Economic Policy Research (CAEPR), affiliated with the Institute for Climate, Energy & Disaster Solutions. His work focuses on renewable energy implementation, energy efficiency, and demand management initiatives in remote communities, particularly in North West Australia. Current Role: Research Fellow, Zero Carbon Energy for the Asia Pacific Grand Challenge Research Themes: Indigenous Engagement with Renewable Energy, Regulatory Disparities, Climate Adaptation Projects: ZCEAP Fellow, Indigenous Engagement with Renewable Energy Industries program His research bridges climate change policy, energy security, and Indigenous rights, emphasizing equity in energy transitions and resilience-building for remote populations. He has collaborated with communities in North West Australia to address energy poverty and regulatory barriers. Riley’s publications highlight challenges in energy policy, focusing on temperature extremes exacerbating energy insecurity, prepayment tariffs, electric vehicle feasibility in remote areas, and Indigenous engagement in renewable energy projects. These works emphasize social equity, regulatory disparities, and community-specific solutions. He is part of research groups including Indigenous peoples, cultures and knowledges; Adaptation, livelihoods and development in Asia and the Pacific; and Risk, vulnerability and resilience. Contact: Bradley.Riley@anu.edu.au | (02) 6125 4559

Martin Kleppmannمشاهده پروفایل

دانشیار

• Distributed Systems
• Collaborative Software
• Cryptography
• +۴ مورد دیگر

Dr. Martin Kleppmann is an Associate Professor at the University of Cambridge, specializing in local-first software and security protocols . He leads research in distributed systems, focusing on decentralized architectures, collaborative editing tools, and cryptographic methods. As a key contributor to the Automerge open-source project, he bridges academic innovation with real-world applications. Formerly a research fellow at TU Munich (2022–2023) and Cambridge (2015–2022), he has also worked as a software engineer and startup founder, including LinkedIn (acquired 2012). Research Interests span Distributed Systems Security , Conflict-Free Replicated Data Types (CRDTs) , Collaborative Software , and Cryptography . His work addresses challenges in decentralized social networks, privacy-preserving protocols, and efficient data synchronization. Recent projects include Kintsugi (end-to-end encrypted key recovery) and Pudding (private user discovery for anonymity networks). Publications emphasize Collaborative text editing (2025: Eg-walker, 2023: The Art of the Fugue) CRDTs for JSON and trees (2021, 2017) Privacy in decentralized systems (2024: Pudding, 2025: Emission Impossible) Scientific Awards include Gilles Muller Best Artifact Award (EuroSys 2025) Distinguished Paper & Artifact Awards (OOPSLA 2017) Best Presentation Awards (Security Protocols Workshop 2018, PaPoC 2025)

Suyash Guptaمشاهده پروفایل

استادیار

• Distributed Systems
• Databases
• Blockchain
• +۶ مورد دیگر

Suyash Gupta is a Tenure-Track Assistant Professor in the Department of Computer Science at the University of Oregon, where he leads the Distopia Laboratory and co-leads the Oregon Networking Research Group. His expertise lies in distributed systems, databases, blockchain technologies, fault tolerance, and federated learning. Education: Ph.D. in Computer Science, University of California, Davis (2022) M.S. in Computer Science, Purdue University (2017) M.S. (Research) in Computer Science, Indian Institute of Technology Madras Research Focus: Dr. Gupta’s research is centered on designing efficient distributed, decentralized, and blockchain systems that are resilient to arbitrary failures and can scale across wide-area networks. His work spans consensus protocols, Byzantine fault tolerance, secure transaction processing, and federated learning systems. He has contributed foundational work in permissioned blockchain architectures and fault-tolerant distributed databases. Scientific Contributions & Awards: Best Paper Award, EuroSys 2023 Distinguished Reviewer Award, SIGMOD 2025 Best Graduate Researcher Award, UC Davis Author of Fault-Tolerant Distributed Transactions on Blockchain , Morgan & Claypool Teaching & Mentorship: He currently teaches advanced courses like CS 607: Hot Topics in Systems and CS 451/551: Database Processing . He actively mentors a diverse group of PhD and MS students, including Nihal Balivada, Shistata Subedi, Neil Sharma, and others from institutions like UC Davis and BITS Pilani. Labs & Teams: Dr. Gupta leads the Distopia Laboratory at UO and co-leads the Oregon Networking Research Group , both focused on cutting-edge research in distributed systems and secure networked architectures.

Vasil Georgiev Tsunizhevمشاهده پروفایل

استاد

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

Vasil Georgiev Tsunizhev is a Professor of Computer Informatics at the Faculty of Mathematics and Informatics, Sofia University, with office hours Monday and Wednesday 13:00-14:00 in room FMI-110. Contact: v.georgiev@fmi.uni-sofia.bg, +359 2 8161-594. His research spans cloud computing, distributed systems, and grid technologies with emphasis on resource management, load balancing, and service modeling. Key contributions include numerical solutions for cloud servicing, distributed coordination mechanisms, and fault-tolerant information services. His work integrates open-source components and addresses scalability challenges in cloud environments. Analysis of his 2009-2015 publications reveals consistent focus on cloud infrastructure optimization, with recurring themes in resource frameworks, quality-of-service models, and distributed coordination. His research demonstrates strong technical depth in numerical modeling and system architecture while addressing real-world scalability and fault tolerance requirements. Professor Tsunizhev collaborates internationally through projects like CoreGRID (contributing to grid security white papers) and works with researchers including R. Zhelev and L. Kirchev. His laboratory work focuses on commodity grid platforms and lightweight resource management systems for distributed computing environments.

Yinzhi Caoمشاهده پروفایل

دانشیار

• Security and privacy of machine learning
• Web security and privacy
• Mobile security and privacy
• +۱ مورد دیگر

Yinzhi Cao is an Associate Professor at the Johns Hopkins University Department of Computer Science . He serves as Technical Director of the Johns Hopkins Information Security Institute and is affiliated with the Data Science and Artificial Intelligence Institute and the Institute for Assured Autonomy . Cao joined JHU in 2018 from Lehigh University, where he was an Assistant Professor. Doctor of Philosophy (PhD) in Computer Science, Northwestern University (2014) Bachelor of Engineering (BE) in Electronic Engineering, Tsinghua University (2008) Research Interests focus on security and privacy of web, mobile, and machine learning systems . Key projects include Vulnerability Analysis of Web Applications and Security, Privacy, and Fairness Analysis of ML Systems . His work addresses prototype pollution in JavaScript, node.js vulnerabilities, browser fingerprinting, federated learning privacy, and automated exploit generation. Scientific Recognition includes the NSF CAREER Award (2021) DARPA Young Faculty Award (2022) & Director's Fellowship (2024) Amazon Research Awards (2022, 2017) IEEE Security & Privacy Test of Time Award (2025) Distinguished Paper Awards at IEEE S&P 2025, CCS 2023, USENIX Security 2022 Advising & Grants highlight mentorship of 20+ PhD and Master’s students across institutions. Major grants include $1.2M collaborative CICI TCR grant (2024-2026) with Dr. John Aucott $750K DARPA YFA grant (2022-2025) $500K NSF SaTC grant (2022-2025) NSF EAGER grant (2016-2017) Labs & Teams : Affiliated with Johns Hopkins Information Security Institute , Data Science AI Institute , and Institute for Assured Autonomy . Collaborates with institutions like Columbia, UC Santa Barbara, and SRI International. His group investigates real-world vulnerabilities in over 2,500 websites and NPM packages, uncovering 80+ zero-day issues.