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Una-May O'ReillyView profile

Research Professor

• Cybersecurity
• Artificial Intelligence
• Machine Learning
• +6 more

Una-May O'Reilly is a Principal Research Scientist at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), leading the ALFA group. She holds a PhD in Computer Science from Carleton University (1995), with prior roles including a postdoctoral appointment at MIT's Artificial Intelligence Laboratory. Her research focuses on cybersecurity, adversarial AI, software security, and disinformation dynamics, applying evolutionary algorithms and machine learning to address arms races in cyber defense and societal challenges like climate change communication. Education: B.Sc., University of Calgary M.C.S., Carleton University Ph.D., Carleton University (1995) Research Interests: Adversarial machine learning for secure systems Coevolutionary algorithms in cybersecurity and healthcare Program comprehension via neuroscience and AI Climate disinformation mitigation on social media Large language model applications in code synthesis and threat hunting Key Projects: Adversarial Cyber Security : Modeling cyber attack-defense arms races GIGABEATS : AI-driven medical sensor data analysis for critical care MOOC Learner Project : Data science for online education insights Awards: EvoStar Award (2013) for contributions to evolutionary computation Fellow of ACM Sig-EVO Leadership & Service: Co-founder and Vice-Chair of ACM Sig-EVO Former Chair of GECCO (2005), major evolutionary computation conference Editorial roles in Evolutionary Computation and Genetic Programming and Evolvable Machines Labs & Groups: Leads the AnyScale Learning for All (ALFA) group at CSAIL, focusing on scalable AI for cybersecurity, healthcare, and education.

• AI Governance
• Privacy and Security
• Responsible AI
• +8 more

Yang Wang is a Professor of Information Science and Computer Science (courtesy) at the University of Illinois at Urbana-Champaign (UIUC), where he co-directs the SALT lab and is part of the Interactive Computing group and Security and Privacy Research at Illinois (SPR@I). He holds affiliations with the Institute of Software Research (ISR) at UC Irvine and advises Conviva. His research spans AI governance, privacy, security, and inclusive technologies, focusing on marginalized populations such as people with disabilities and non-Western communities. Education: Ph.D. from the University of California, Irvine (UCI), under advisors Dr. Alfred Kobsa, Dr. André van der Hoek, and Dr. Gene Tsudik. Previous roles include Assistant Professor at Syracuse University and Research Scientist at Carnegie Mellon University’s CyLab. He has collaborated with institutions like Alcatel-Lucent Bell Labs, Intel Research, and Tsinghua University. Research interests include AI safety for children (aisafety4kids.org), inclusive privacy mechanisms, accessible authentication for visually impaired users, and policy implications of AI. Notable projects include Inclusive.AI (funded by OpenAI), privacy in smart homes, and drone privacy studies. Awards and grants include NSF SaTC awards, NSF CAREER, and industry partnerships with Meta/Facebook, Google, and OpenAI. His work has been featured in outlets like the New York Times and Wall Street Journal. Current PhD advisees include Smirity Kaushik and Yaman Yu, with notable alumni such as Dr. Yaxing Yao (now at Johns Hopkins) and Dr. Tanusree Sharma (Penn State). Labs/Teams: Co-director of the SALT lab, part of SPR@I and the Interactive Computing group at UIUC. Collaborates with industry and policy bodies, including the FTC.

• Machine Learning
• Artificial Intelligence
• Explainability of AI
• +3 more

Carlos Guestrin is the Fortinet Founders Professor of Computer Science at Stanford University and serves as Director of the Stanford AI Lab (SAIL) and Senior Fellow at the Institute for Human-Centered AI (HAI). He holds dual roles as Chief Scientist at Visual Layer and Virtue AI. His research focuses on machine learning methods, explainability, fairness, and ethics of AI, alongside systems for scalable AI deployment. Education details are not explicitly provided, but his work spans foundational contributions to machine learning systems (e.g., XGBoost) and explainable AI frameworks like Anchors and LIME. He emphasizes ethical AI through projects like CheckList for model testing and Model Equality Testing for API transparency. His scientific contributions include advancing optimization techniques (AdaScale SGD, TVM compiler) and ethical benchmarks for generative AI. He has been recognized as a Member of the National Academy of Engineering for his transformative impact on AI systems and their societal applications. Guestrin leads interdisciplinary initiatives at SAIL and HAI, fostering collaboration between technical innovation and human-centered design. His work bridges theory and practice, addressing challenges in healthcare (diabetes management systems) and AI security.

Rishab GoyalView profile

Assistant Professor

• Cryptography
• Computer Security
• Theoretical Computer Science
• +4 more

Rishab Goyal is an Assistant Professor in the Computer Sciences Department at the University of Wisconsin-Madison , affiliated with the School of Computer, Data & Information Sciences . His research spans Cryptography , Computer Security , and Theoretical Computer Science , with a focus on post-quantum cryptography , lattice-based systems , and the policy implications of advanced cryptography . Research interests include secure systems with advanced capabilities and cryptographic proof systems. Teaching graduate and undergraduate courses in cryptography and theoretical computer science. His work on functional encryption , traitor tracing , and obfuscation has been published in top venues like CRYPTO, STOC, and FOCS. He has served on program committees for EUROCRYPT, TCC, PKC, FOCS, and ASIACRYPT. Scientific Awards : Invited to STOC 2018 special issue in SIAM Journal on Computing. Rishab collaborates with PhD students including Jiaqi Cheng , Abtin Afshar , and Saikumar Yadugiri , and hosts visiting researchers from institutions like GMU and IIT Madras.

Mahesh TripunitaraView profile

Professor

• Information Security
• Authorization and Access Control
• Cryptographic Key Transport
• +7 more

Dr. Mahesh Tripunitara is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, serving as Associate Chair for Undergraduate Studies. He holds a PhD (2005) and Master's (1995) in Computer Science from Purdue University, along with a BSc (1993) in Computer Science from Dalhousie University. His research focuses on information security, authorization mechanisms, cryptographic key management, and hardware security, with industry experience at Motorola's R&D labs and Silicon Valley. His work spans theoretical advancements like access control policy analysis and practical applications such as secure payments systems and IoT device reliability. Notable awards include the Best Student Paper at Usenix Security 2013 and Best Paper at ACM SACMAT 2013. He actively serves on program committees for major security conferences including CCS, CODASPY, and SACMAT. Recent publications highlight innovations in cellular security (SUCI-Catchers defense), role-mining optimization, and blockchain smart contract auditing. Teaching includes advanced algorithm design courses (ECE 406/606) and digital computation (BME 121). His research emphasizes balancing security rigor with usability in authorization systems and hardware protection mechanisms.

Carlisle-MartinView profile

Professor

• Computer Security
• Programming Languages
• Computer Science Education
• +3 more

Carlisle-Martin is an Associate Department Head and Professor of Practice in the Department of Computer Science & Engineering at Texas A&M University. They also serve as Director of the United States Air Force Academy Center for Cyberspace Research. Their research focuses on computer security, programming languages, and innovative computer science education techniques. Education: Ph.D., Computer Science, Princeton University (1996) B.S., Mathematics and Computer Science, University of Delaware (1991) Research Interests: Malware analysis and detection Cybersecurity frameworks for DNS and network protocols Visual programming tools like RAPTOR for education Ada language modernization and integration Cybersecurity education through CTF competitions Awards: 2016: Meritorious Civilian Service Award (USAF) 2014: SANS Institute Security Award 2009: ACM Distinguished Educator 2008: Colorado Professor of the Year 2007: Arthur S. Flemming Award Advising & Grants: Known for mentoring through cybersecurity initiatives and leading the USAF Academy's cyberspace research programs. No specific grant details listed, but their work aligns with defense and education funding priorities. Labs/Teams: Directs the USAF Academy's Center for Cyberspace Research, focusing on applied cybersecurity solutions and educational outreach.

• Cybersecurity
• Electronic Identity
• Network Security
• +7 more

Antonio Lioy is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin. He serves as the Cyber Security Representative for the university in national and European government collaborations, is a member of the SmartData@PoliTO interdepartmental center, and acts as Scientific Advisor for the DRIVESEC partnership. His research is deeply rooted in cybersecurity, electronic identity, network and web security, and quantum-resistant systems. His research interests focus on cybersecurity , electronic identity , network security , web security , and quantum cryptography . He leads the TORSEC Security Group and conducts research in LAB 7, with a strong emphasis on trusted computing, post-quantum cryptography, IoT security, and secure network infrastructures. His work aligns with ERC sectors in computer systems and cryptology, and supports UN SDGs on innovation and sustainable cities. His recent publications show a strong trend toward post-quantum cryptography , remote attestation , trusted execution environments , and secure network virtualization . These works appear in top venues such as IEEE, ACM, and IFIP conferences, with a focus on securing future digital infrastructures against emerging threats. Themes include integrity management in softwarized networks, standard-based attestation, and quantum-resistant PKI strategies. He has supervised numerous PhD students, including Davide Colaiacomo, Francesco Vaccaro, Flavio Ciravegna, Grazia D'Onghia, Lorenzo Ferro, Francesco Settanni, Enrico Bravi, Silvia Sisinni, Luca Mannella, and Ignazio Pedone, whose research spans cybersecurity, quantum computing, and IoT. He leads multiple high-profile research projects such as Q-FENCE, QUBIP, SERICS, and FISHY, funded by Horizon Europe and national programs, demonstrating significant grant acquisition and leadership. He is actively involved in research labs and teams, primarily the TORSEC - Security Group (DAUIN) and LAB 7 - Research Laboratory (DAUIN) , which focus on applied cybersecurity research. His projects often involve collaboration with industry and government bodies, emphasizing real-world impact in secure digital identity, critical infrastructure protection, and quantum-safe transitions.

Bonnie BergerView profile

Professor

• Compressive Genomics
• Network Inference
• Structural Bioinformatics
• +4 more

Bonnie Berger is the Simons Professor of Mathematics at the Massachusetts Institute of Technology and head of the Computation and Biology group at MIT's Computer Science and AI Lab. She holds additional appointments as an Associate Member of the Broad Institute, Faculty member of Harvard/MIT Health Science & Technology, and Affiliated Faculty of Harvard Medical School. Her career has been dedicated to pioneering computational approaches in molecular biology, where she has been instrumental in defining the field. Professor Berger's research focuses on designing algorithms to extract biological insights from large-scale data sets. Her work spans Compressive Genomics, Network Inference, Structural Bioinformatics, Genomic Privacy, and Medical Genomics. She actively collaborates with experimental biologists to maximize the power of computation for biological discovery, developing methods that address the challenges of modern high-throughput biological data. Her recent publications demonstrate a strong trend toward integrating machine learning with structural biology and genomic privacy. The articles show increasing sophistication in using deep learning for protein structure prediction, developing privacy-preserving techniques for genomic data sharing, and creating efficient algorithms for massive biological data sets. Her work bridges theoretical computer science with practical biological applications. Professor Berger's scientific recognition includes: Election to the National Academy of Sciences (2021) ISCB Accomplishments by a Senior Scientist Award SIAM Sonya Kovalevsky Lecture Prize Fellowships in ACM, ISCB, AMS, and other prestigious societies Multiple RECOMB Test of Time Awards NIH Margaret Pittman Director's Award She has mentored numerous students who have gone on to make significant contributions in computational biology, including Ellen Zhong, Yun William Yu, and Hyunghoon Cho. Her lab receives substantial research funding supporting projects in genomic privacy, structural bioinformatics, and compressive algorithms for biological data. Professor Berger serves on the Executive Editorial Board of the Journal of Computational Biology and multiple other editorial boards. The Computation and Biology group at MIT CSAIL, which she leads, is at the forefront of developing computational methods for biological discovery. The group combines expertise in algorithms, machine learning, and biology to tackle fundamental challenges in genomics and structural biology. They are currently organizing the Machine Learning in Structural Biology workshop at NeurIPS 2025, highlighting their leadership in this rapidly evolving interdisciplinary field.

Walid G. ArefView profile

Professor

• Databases
• Data Mining
• Spatial Databases
• +6 more

Walid G. Aref is a Professor of Computer Science at Purdue University since Fall 1999. His research focuses on database systems, spatial and spatio-temporal data management, query processing, and indexing. He has led projects funded by NSF, NIH, and industry partners. Aref is a Fellow of the IEEE and has received awards including the NSF CAREER Award (2001) and VLDB’s Ten-Year Best Paper Award (2016). He serves as Editor-in-Chief of ACM Transactions on Spatial Algorithms and Systems and has authored numerous influential papers. Education: BSc/MSc from Alexandria University (Egypt), PhD from University of Maryland (1993). Research Interests: Extending database functionality for emerging applications like spatial, graph, and sensor databases. Notable contributions include the Chameleon project, AQWA system for big spatial data, and privacy-preserving Casper framework. Selected Projects: NSF-funded work on multi-predicate spatial queries, in-memory graph relational systems, and adaptive spatio-textual processing. Systems like Tornado (spatio-textual streams) and LocationSpark (distributed spatial data) exemplify his contributions. Awards: Multiple best paper awards, IEEE Fellow, and leadership roles in ACM SIGSPATIAL.

• Cybersecurity
• Cryptography
• Programming Languages
• +4 more

Elaine Shi is a Professor with a joint appointment in the Computer Science Department (CSD) and Electrical and Computer Engineering (ECE) at Carnegie Mellon University. She is also an Adjunct Professor of Computer Science at the University of Maryland. Her research focuses on cryptography, security, mechanism design, algorithms, blockchains, and programming languages. She co-founded Oblivious Labs, Inc., and her work on Oblivious RAM and differential privacy has been adopted by Signal, Meta, and Google. Education: Not explicitly listed, but her academic roles imply advanced degrees in computer science. Research Interests: Shi's work spans foundational areas such as secure computation, privacy-preserving algorithms, and blockchain protocols. She emphasizes practical implementations, such as Oblivious RAM and cryptographic compilers like Viaduct. Her research also explores game-theoretic mechanisms for decentralized systems and explores the intersection of theory and practice in secure distributed systems. Publications: Over 150+ articles in top venues like Eurocrypt, S&P, and CCS, covering topics like oblivious algorithms, blockchain security, and differential privacy. Recent work includes optimizing obfuscation, secure aggregation, and transaction fee mechanisms. Packard Fellow, Sloan Fellow, ACM Fellow, IACR Fellow Co-founder of CMU's Crypto Group and Crypto Seminar Series Advising & Grants: Supervises a large group of students and postdocs, with notable alumni holding academic and industry roles. Active in securing grants for research in secure computation and blockchain technologies. Labs & Teams: Leads research in Oblivious Labs and collaborates on projects like the Viaduct compiler and secure enclaves for privacy-preserving computation.

Ebru CankayaView profile

Senior Lecturer

• Computer and Network Security
• Risk Modeling in Databases
• Lossless Text Compression
• +5 more

Ebru Cankaya is a Senior Lecturer II in the Department of Computer Science at the University of Texas at Dallas (UTD), part of the Erik Jonsson School of Engineering and Computer Science. She holds a Ph.D. in Computer Science from Ege University (Turkey) and has extensive academic experience across multiple institutions, including adjunct roles at Southern Methodist University and visiting professorships at Izmir University of Economics and Earlham College. Her research focuses on cybersecurity, risk modeling in databases, lossless text compression, and cloud computing. She has received numerous teaching awards, including the 2019 Outstanding Faculty of the Year award at UTD. Educational Background: Ph.D. in Computer Science, Ege University (2004) M.S. in Computer Science and IT & Management, Ege University (2004/2009) MBA in Economics and Administrative Sciences, Ege University (2000) B.Sc. in Computer Engineering, Ege University (1994) Research Interests: Computer and Network Security: Including access control models (e.g., Bell-LaPadula, Chinese Wall) and cryptographic techniques. Risk Modeling in Databases: Focusing on privacy-preserving data storage and obfuscation strategies. Text Compression: Innovations in encoding methods like Star Encoding and hybrid techniques. Cloud Computing: Security and dependability in distributed systems. Awards and Recognition: 2022: Teaching Award, Jonsson School 2019: Outstanding Faculty of the Year 2013: Faculty of the Month (NACURH) Multiple nominations for University and System-Wide Teaching Awards TUBITAK/EBILTEM Research Awards (2003–2004) Her professional activities include organizing doctoral symposiums (e.g., COMPSAC 2012/2013), participating in faculty development programs (e.g., Working Connections IT Institute), and mentoring undergraduate researchers. She has held academic roles across Turkey and the U.S. since 1997, including research assistantships at Ege University and a decade-long tenure at Ege University as a lecturer and assistant professor.

• Malware Analysis
• Symbolic Execution
• Machine Learning
• +3 more

Charles-Henry Bertrand Van Ouytsel is a Research Assistant and Visiting Lecturer at Université catholique de Louvain , affiliated with the Louvain Polytechnic School (EPL) and the Computer Engineering Center (INGI) . His work focuses on malware analysis , symbolic execution , and machine learning for cybersecurity applications. Research Areas : Packing detection, intrusion detection systems, side-channel security, and adversarial machine learning. Teaching : Involved in courses like Secured systems engineering (LINFO2144) and Software engineering and programming systems seminar (LINFO2359) . His recent publications emphasize malware obfuscation techniques and security evaluation frameworks . Collaborations with Axel Legay and others highlight his contributions to tool development (e.g., Packing-Box , SEMA ). No scientific awards are explicitly mentioned.

Vincent John Mooney IIIView profile

Associate Professor

• Hardware-Software Co-Design
• Cyber Physical Systems Security
• System Level Design
• +7 more

Vincent John Mooney III is an Associate Professor at the School of Electrical and Computer Engineering and an Adjunct Associate Professor at the School of Computer Science, Georgia Institute of Technology. His research focuses on Hardware-Software Co-Design , Cyber Physical Systems Security , and Low-Power Architectures . He has authored numerous publications on topics such as probabilistic computing, hardware security, and embedded systems design. Dr. Mooney has received prestigious awards including the NSF Career Award , National Semiconductor Fellowship , and ARCS Best Paper Award . Education: Ph.D. in Electrical Engineering (1998), Stanford University MA in Philosophy (1997), Stanford University MS in Electrical Engineering (1994), Stanford University Certificate of Graduate Study (1992), University of Navarra BS in Electrical Engineering and Computer Science (1991), Yale University Research interests span hardware/software codesign, cybersecurity in embedded systems, and synthesis of reconfigurable architectures. His recent work includes Gridtrust for decentralized supply chain cybersecurity and COPPER for computation obfuscation. Dr. Mooney has supervised numerous Ph.D. students and held leadership roles in conferences such as HOST and CASES . Scientific awards include NSF Career Award (2000) National Semiconductor Fellowship (1997-1998) AT&T Engineering Scholarship Program (1987-1991) NCAA Postgraduate Scholar (1991) Senior Member, IEEE (2003) ARCS 2012 Best Paper Award Advising and grants highlight his mentorship of students like Jun Cheol Park and Yudong Tan , along with grants such as the U.S. Air Force Summer Faculty Fellowship (2007). He leads the Hardware/Software Codesign for Security Group at Georgia Tech and has contributed to advancements in real-time operating systems and deadlock detection algorithms.

Mike RosulekView profile

Professor

• Cryptography
• Secure Multi-Party Computation
• Private Set Intersection
• +3 more

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.

Chester RebeiroView profile

Associate Professor

• Hardware Security
• Applied Cryptography
• Side Channel Analysis
• +3 more

Chester Rebeiro is an Associate Professor at the Department of Computer Science and Engineering within the Indian Institute of Technology Madras . His work spans hardware and software security with a focus on cryptographic implementations and microarchitectural vulnerabilities. Research interests include hardware security, applied cryptography, side channel analysis, and operating system security. He develops frameworks for automatic vulnerability detection and mitigation in cryptographic systems. Editorial Board: Associate Editor at Journal of Hardware and Systems Security (Springer, 2021-2024) Conference Leadership: General Co-Chair for SPACE 2024, Program Co-Chair for ATS 2024, and Program Co-Chair for INDOCRYPT 2023 Professional Activities: Organizer of e-CTF Embedded Capture The Flag and contributor to cybersecurity workshops across India and abroad Scientific contributions highlight two major awards: a Distinguished Paper Award at USENIX Security 2024 and a Best Paper Award at IEEE HOST 2020. His research focuses on practical security solutions for processors and cryptographic systems. Advising includes mentoring 11 PhD students and 7 MS by Research candidates, with notable co-guided projects in fault attack detection and side-channel mitigation. He actively contributes to educational initiatives through courses on Secure Processor Microarchitecture and Operating Systems.