جست‌وجوی استاد و پژوهشگر

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.

Peter G. Troyanمشاهده پروفایل

دانشیار

• Microeconomic theory
• Game theory
• Market design
• +۳ مورد دیگر

Peter G. Troyan is an Associate Professor of Economics and Director of Graduate Studies at the University of Virginia, where he has served on the faculty since 2014. His research bridges theoretical and experimental economics with practical applications in market design, focusing on strategic behavior in matching systems and auction mechanisms. Education: Ph.D. in Economics, Stanford University (2014) B.S. in Mathematics (with High Honors) and Physics, University of Michigan (2008) Troyan's research centers on microeconomic theory with emphasis on game-theoretic foundations of market design. His work develops novel frameworks for matching under constraints, analyzes strategic manipulation in allocation mechanisms, and pioneers experimental validations of theoretical predictions. Key contributions include formalizing 'obvious strategyproofness' as a solution concept and designing ranking methods that improve welfare in competitive matching processes. His interdisciplinary approach integrates experimental economics to test theoretical models in real-world settings like school choice and labor markets. His publication record reveals a consistent trajectory toward foundational contributions in mechanism design, with increasing focus on simplicity principles and behavioral realism. Recent work in Econometrica establishes theoretical limits of mechanism simplicity, while experimental studies in Games and Economic Behavior validate preference structures in matching markets. The recurring themes across his publications demonstrate how theoretical insights can be operationalized to solve allocation problems with distributional constraints. Scientific Awards: Best Paper Award and Exemplary Theory Paper Award at ACM Conference on Economics and Computation (EC19) UVA Quantitative Collaborative (2022) and Arts & Sciences Research Grant (2022) Roger Sherman Fellowship (2019-2020) and multiple university research grants Stanford and University of Michigan fellowships during graduate training Troyan directs the Economics Department's graduate program while securing continuous research funding, including five consecutive Bankard Fund grants (2017-2024) supporting his theoretical and experimental work. His service includes editorial roles at the American Economic Journal: Microeconomics and extensive peer review for top economics journals. As an active conference participant, he regularly presents at the ACM Conference on Economics and Computation and Econometric Society meetings, contributing to the market design research community through the University of Virginia Bankard Workshop in Economic Theory. His leadership extends to mentoring graduate students in economic theory research and collaborating with international scholars like Marek Pycia and Thayer Morrill. Current projects explore desirable ranking methodologies and the boundaries of strategyproof allocation mechanisms, positioning his work at the forefront of market design theory.

• Optimization for Machine Learning
• Collaborative Learning
• Federated Learning
• +۶ مورد دیگر

Sebastian U. Stich is a tenured Professor at CISPA Helmholtz Center for Information Security and a member of the European Lab for Learning and Intelligent Systems (ELLIS). His research focuses on optimization for machine learning, collaborative learning (distributed, federated, and decentralized methods), efficient optimization techniques, adaptive stochastic methods, and privacy/security in machine learning. Recent appointments include ERC Consolidator Grant 2024 for the CollectiveMinds project. Key contributions in federated/decentralized learning, uncertainty estimation, and communication-efficient optimization. Active in workshop organization, including the Optimization for Machine Learning workshop at NeurIPS 2024. Teaching modern optimization methods at Saarland University (2023-2025). His work has been recognized with awards such as the Google Research Scholar Award (2023) and Meta Privacy-Enhancing Technologies Award (2022) . His research group includes postdocs Dr. Anton Rodomanov and Dr. Rotem Mulayoff, and PhD students Xiaowen Jiang and Yuan Gao.

Li Huiمشاهده پروفایل

استاد

• Cryptographic Information Security
• Privacy Computing
• Information Theory
• +۵ مورد دیگر

Professor Li Hui serves as the executive dean of the School of Network and Information Security at Xidian University, where he holds the position of second-level professor and doctoral supervisor. He is nationally recognized as a distinguished teacher and serves in multiple prestigious roles including member of the National Steering Committee for Postgraduate Education in Cryptography, inaugural president of ACM SIGSAC CHINA, and director of several major academic societies related to cryptography and information security. Professor Li's research spans cryptographic information security, privacy computing, information theory, and coding theory, with significant contributions to network and cyberspace security. His work demonstrates a strong focus on both theoretical foundations and practical applications, particularly in developing security protocols for emerging technologies like blockchain, federated learning systems, and IoT environments. His research output shows consistent innovation in balancing security requirements with computational efficiency across diverse application domains. With over 300 publications and more than 15,000 Google Scholar citations (H-index 60), Professor Li's scholarly impact is substantial. His recent publications demonstrate increasing emphasis on privacy-preserving machine learning, secure multi-party computation, and cryptographic protocols for distributed systems, reflecting the evolving security challenges in the AI era. Three second-class national teaching achievement awards Special prize and first-class national teaching achievement awards Four first-class provincial and ministerial science and technology progress awards Privacy Computing Theory award (Qian Weichang Chinese Information Processing Science and Technology Award) Multiple patents with over 80 granted inventions Professor Li leads the Cyber Changan Team and serves as head of the Shaanxi Provincial Innovation Team for Mobile Internet Security. He has successfully supervised numerous doctoral and master's students who have gone on to win prestigious competitions like the National College Student Information Security Competition. His research is supported by major national grants including a National Key R&D Program project and key projects from the National Natural Science Foundation of China.

Joss Wrightمشاهده پروفایل

دانشیار

• Internet Censorship
• Privacy-Enhancing Technologies
• Cybercrime
• +۴ مورد دیگر

Joss Wright is an Associate Professor and Senior Research Fellow at the Oxford Internet Institute , University of Oxford. He co-directs the Oxford EPSRC Cybersecurity Doctoral Training Centre and the Oxford Martin Programme on the Wildlife Trade, focusing on computational approaches to social science questions about information control and privacy. Education : PhD in Computer Science from the University of York (research on anonymous communication systems), postdoctoral work at the University of Siegen (cloud computing security). His research spans internet censorship , privacy-enhancing technologies , and cyber-enabled crime (notably the online illegal wildlife trade ). He bridges technical analyses of security systems with their social and political implications, advising the European Commission and UK Parliamentary Science Committee on digital policy. Recent work includes machine learning applications to detect patent filing trends related to wildlife trade and analyzing Chinese smart city surveillance for human rights risks. He has contributed to media outlets like the Guardian and New Scientist. Notable projects include the Oxford Martin Programme on Wildlife Trade and studies on discriminatory effects of internet filtering . He supervises students like William Lugoloobi (DPhil in Social Data Science) and former advisee Samantha Bradshaw (now Assistant Professor at American University).

• Signal Processing
• Communication
• Wireless Communications
• +۴ مورد دیگر

Professor Hakan Ali Çırpan is a distinguished faculty member at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, where he serves as Professor in the Department of Electronics and Communication Engineering. He also holds the position of Vice Dean at Istanbul Technical University since 2021. With over three decades of academic experience, Professor Çırpan has established himself as a leading researcher in signal processing and communications. His educational background includes: PhD from Stevens Institute of Technology (1993-1997) Master's degree in Electrical-Electronic Engineering (with thesis) from Istanbul University (1989-1992) Bachelor's degree in Electrical and Electronic Engineering from Uludağ University (1985-1989) Professor Çırpan's research spans multiple domains within signal processing and communications. His primary interests include wireless communications, radar systems, machine learning applications in communications, and electronic warfare. His work on channel estimation, orthogonal frequency division multiplexing, and maximum likelihood methods has been particularly influential. He has pioneered research in areas such as source localization, spectrum sensing, and physical layer security. His recent work focuses on 5G/6G networks, AI-enhanced communications, and integrated sensing and communication systems. Analysis of his recent publications (2023-2025) reveals a strong focus on next-generation wireless technologies, particularly 5G/6G networks, AI integration in communications, and electronic warfare applications. His research demonstrates a consistent pattern of addressing fundamental challenges in signal processing while adapting to emerging technological needs. A significant portion of his recent work involves machine learning applications for spectrum management, optimization techniques for radar systems, and novel approaches to network slicing and resource allocation. His notable scientific achievements include: ASELSAN ACADEMY THESIS COMPETITION WINNER (2020) Professor Çırpan has supervised 59 theses throughout his career, mentoring numerous graduate students in the fields of signal processing and communications. He has secured significant research funding, including the "AI-Enhanced 5G/6G Networks with Integrated Camera and ISAC Systems" project (2023-2024) and the "Railway Vehicle Infrastructure New Generation Secure Communication Systems" TÜBİTAK project with a budget of ₺955,000. His research has practical applications in defense systems, railway communications, and next-generation wireless networks. His laboratory work focuses on wireless communications systems, radar signal processing, and AI-enhanced communication technologies. Professor Çırpan leads research teams working on projects related to 5G/6G networks, electronic warfare countermeasures, and secure communication systems. His group collaborates with industry partners like ASELSAN and conducts research with practical applications in national defense and critical infrastructure.

• Macroeconomics
• Public Economics
• Household Finance
• +۵ مورد دیگر

Patrick Schneider is an Assistant Professor in the Department of Economics and Public Policy at Imperial Business School , UK. He completed his PhD at the London School of Economics and Political Science and previously worked as an Economist at the Bank of England (2015-2018). His research lies at the intersection of macroeconomics, household finance, and public economics, with a focus on unconventional stabilization policies and behavioral biases. Education: PhD Economics, London School of Economics and Political Science (2025) MPhil Economics, University of Oxford (2015) Bachelor of Economics (Hons) & Bachelor of Arts, UNSW Sydney (2011) His recent work explores how behavioral biases affect retirement account access policies and intergenerational equity. Analysis of his publications reveals trends in macroeconomic policy distributional effects , productivity dynamics , and market power . He has contributed to debates on Brexit's economic implications and stabilization mechanisms in financial systems. While no specific scientific awards are documented, his research engages with critical policy questions through empirical analysis and behavioral economic modeling. He maintains an active presence on academic and policy discussions via platforms like Bluesky, focusing on macroeconomic policy transparency and trust in financial systems.

Kilian Q. Weinbergerمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Deep Learning
• +۴ مورد دیگر

Kilian Q. Weinberger is a Professor of Computer Science at Cornell University's College of Engineering, focusing on Machine Learning, Deep Learning, and AI applications. He has held previous roles as Associate Professor at Washington University in St. Louis and Research Scientist at Yahoo! Research. His research spans metric learning, resource-constrained learning, Gaussian Processes, and advancements in 3D perception for autonomous systems. Education : Ph.D. in Machine Learning (University of Pennsylvania), BA in Mathematics and Computing (University of Oxford) Key Research Areas : AI in Science, Computer Vision, Autonomous Vehicles, and Neural Network Efficiency His recent work emphasizes interpretable machine learning, large language models, and multimodal applications. Awards include NSF CAREER (2012) Daniel M Lazar '29 Teaching Award (2016) Ann S. Bowers Excellence Award (2024) ACM and AAAI Fellow (2024) He teaches advanced courses like CS6784 (Cornell) and has mentored numerous PhD students across institutions. Current affiliations include the Sloan Research Fellowships Selection Committee since 2024.

Emin Gun Sirerمشاهده پروفایل

دانشیار

• Operating Systems
• Networking
• Distributed Systems
• +۳ مورد دیگر

Emin Gün Sirer is an Associate Professor at the Department of Computer Science , College of Engineering , Cornell University . He co-directs the Initiative for Cryptocurrencies and Smart Contracts and leads the Meridian and HyperDex projects. Research in operating systems, networking, and distributed systems Focus on secure operating systems, high-performance cloud infrastructure, and peer-to-peer networks Developed systems like Nexus (secure OS), OpenReplica (Paxos implementation), and Trickles (stateless network protocol) Prominent Projects : Meridian - Lightweight network location service without virtual coordinates Cubit - Decentralized peer-to-peer search Kimera - Network-centric Java verification SPIN - Extensible microkernel for application-specific services Scientific Contributions : Leading work in blockchain security and peer-to-peer systems Patents in executable content rewriting and distributed virtual machines Advising & Collaborations : Advises projects in network positioning and content distribution Collaborates with institutions like Usenix , SIGCOMM , and NSDI Personal Background : Ph.D. and M.S. in Computer Science from the University of Washington B.S.E. in Computer Science from Princeton University High school at Robert College

• Nuclear Engineering
• Reactor Physics
• Particle Physics
• +۴ مورد دیگر

Adriaan Buijs is a Professor in the Engineering Physics Department at McMaster University in Hamilton, Canada. He previously held roles at Atomic Energy of Canada Limited (AECL) from 2001 to 2008, including Senior Scientist and Section Head for neutronic overpower protection in CANDU reactors. Education: Master’s and PhD in Experimental Physics from Utrecht University , with research at Stanford Linear Accelerator Center . Academic History: Fellow and Staff Member at CERN (1986–1994), then Full Professor at Utrecht University (1994–2001). Research Interests : Nuclear Engineering : Specializing in Small Modular Reactors (SMRs) and Canadian Supercritical Water-Cooled Reactors (SCWR) . Reactor Physics : Focused on neutron transport calculations , gamma heating estimation , and safety analysis for reactor systems. Particle Physics : Past contributions include studies on photon-photon collisions , charmonium states , and supersymmetric particles at CERN and LEP. Publications include work on nuclear reactor simulations , fuel cycle assessments , and Monte Carlo methods for reactor kinetics. He has served as Associate Chair and Acting Chair in his department.