Find Academic Supervisors

• Computer and Network Security
• Cybercrime and Ethics
• Technology Policy
• +1 more

Eugene Spafford is a distinguished academic and cybersecurity leader at Purdue University. He holds the rank of Professor in Computer Science, with courtesy professorships in Political Science, Communication, Philosophy, and Nuclear Engineering. As Executive Director of the Center for Education and Research in Information Assurance and Security (CERIAS), he leads a university-wide initiative addressing interdisciplinary cybersecurity challenges. His research focuses on computer/network security, cybercrime ethics, technology policy, and societal impacts of computing. Notable contributions include foundational work on intrusion detection, password security innovations like ErsatzPasswords, and critical analyses of cybersecurity education and policy. Recent publications emphasize cybersecurity strategy, ethical considerations, and historical retrospectives on seminal incidents like the Morris Worm. His work bridges technical expertise with policy advocacy, reflected in testimonies to U.S. legislative committees and collaborative frameworks for secure systems. Spafford’s leadership in CERIAS fosters interdisciplinary collaboration across Purdue’s academic disciplines, advancing both theoretical and applied aspects of information assurance. He has advised on national cybersecurity strategies and contributed to standards shaping global tech ethics.

• Artificial Intelligence
• Machine Learning
• Data Science
• +4 more

Dr. Lia Song is a Lecturer (teaching-research balanced) at the University of Adelaide (UoA) and a researcher at the Australian Institute for Machine Learning (AIML). She is also a Visiting Scholar at the Australian Artificial Intelligence Institute (AAII) at the University of Technology Sydney (UTS). Previously, she held roles as a Laureate Postdoctoral Research Associate at AAII and a Research Fellow at RMIT University. She holds a PhD in Statistics from the University of Technology Sydney, complemented by a Master's and Bachelor's in Statistics from China. Her teaching focuses on artificial intelligence and machine learning, including coordinating courses like 'Concepts in Artificial Intelligence' and 'Using Machine Learning Tools PG.' She supervises student projects across various levels, emphasizing critical thinking and teamwork. Her research addresses foundational challenges in machine learning, particularly data distribution discrepancies, aiming to enhance model accuracy, robustness, fairness, and transparency. Key areas include robust modeling, AI agent collaborations, and real-time forecasting applications in finance and weather. She collaborates with institutions like UniSA's Australian Research Centre for Interactive and Virtual Environments and RMIT's Enterprise AI and Data Analytics Hub. Dr. Song leads and participates in grants such as the Surrey-Adelaide Partnership Fund and UoA Start-up Grant, focusing on adversarial learning, digital capabilities for aged care, and AI ethics tools. Her long-term goal is to develop end-to-end trustworthy AI solutions for diverse users.

Mokhtar Z. AlayaView profile

Assistant Professor

• Statistical Machine Learning
• Optimal Transport
• High-dimensional Statistics
• +5 more

Mokhtar Z. Alaya is an Assistant Professor of Statistics and Machine Learning at the Computer Science Department of Université de Technologie de Compiègne (UTC) , where he is affiliated with the LMAC Laboratory . He holds a PhD in Statistical Machine Learning from Université Pierre et Marie Curie (2016) and has conducted postdoctoral research at institutions including Université de Rouen and Université Paris Nanterre. Education: PhD in Statistical Machine Learning, Université Pierre et Marie Curie (2016) Master’s in Statistics and Probabilities, Université Pierre et Marie Curie (2011–2012) Magisterium of Mathematics, University of Gabes, Tunisia (2010) Research Interests: His work focuses on statistical machine learning , including optimal transport for ML applications, high-dimensional statistics, matrix completion, and deep learning. Key projects include interdisciplinary collaborations in mechanics (AI4Meca) and chemistry (AI4Chem), leveraging deep learning for anomaly detection and materials science. Teaching: Courses include Machine Learning , Linear Algebra , and Probability at UTC and international partners like UTSEUS (China). He emphasizes bridging theory and practical coding in Python. Advising & Labs: Supervises PhD students in topics like robust anomaly detection and Frechét regression. Collaborates extensively with the LMAC Lab and cross-disciplinary teams on projects such as generative deep learning for materials engineering.

Carel F.W. PeetersView profile

Associate Professor

• Statistics
• Bayesian theory
• Biostatistics
• +6 more

Carel F.W. Peeters is an Associate Professor of Statistics at the Department of Mathematical & Statistical Methods (Biometris) , Wageningen University & Research . He previously held academic positions at Amsterdam University Medical Centers (AUMC) as Assistant Professor in Biostatistics , and during his PhD studies, he was a research fellow at VUA and research scientist at CITO . Education: M.Sc. in Statistics (with great distinction) from Katholieke Universiteit Leuven (KUL) Ph.D. in Bayesian Statistics from Utrecht University Research Focus: His work operates at the intersection of high-dimensional multivariate statistics , statistical machine learning , and complex data analysis . He develops computational methods for small-sample massive-features data to automate discovery of data-generating mechanisms, with applications in genomics , medical imaging , and social network analysis . Recent Trends: His publications demonstrate expertise in genomic prediction models , graphical modeling , high-dimensional regularization , and cross-domain data integration . Methodological innovations include rags2ridges package development and targeted penalization techniques. Technical Expertise: Bayesian theory Multivariate analysis Machine learning High-dimensional data Network analysis Statistical software development (R packages) Data science Graphical models Current Position: He serves as contact person for Biometris subdivision at Wageningen University, with physical location at Droevendaalsesteeg 1, 6708PB Wageningen, Netherlands. His work continues to bridge theoretical and applied statistics through practical implementation of advanced methodologies.

Michael SpecterView profile

Assistant Professor

• Systems Security
• Applied Cryptography
• Public Policy
• +3 more

Michael Specter is an Assistant Professor at Georgia Institute of Technology, holding dual appointments in the School of Computer Science and the School of Cybersecurity and Privacy. He previously served as a Senior Research Scientist at Google, focusing on Android security and privacy. Specter earned a PhD in Electrical Engineering and Computer Science from MIT, advised by Gerald Sussman and Danny Weitzner, with a thesis committee including Matthew D. Green, Joan Feigenbaum, and Ron Rivest. His research bridges systems security, applied cryptography, and public policy, addressing topics like election security, surveillance, and cryptographic accountability. Education: PhD in EECS, MIT (2021) Research Staff, MIT Lincoln Laboratory Research Focus: His work emphasizes practical security solutions for real-world systems, particularly those with societal impact. Key areas include vulnerabilities in voting systems (e.g., Voatz, Democracy Live), cryptographic protocols for email privacy (KeyForge), and policy implications of emerging technologies like blockchain voting. He advocates for transparent, auditable systems with a focus on public interest. Publications & Impact: Recent work includes groundbreaking analyses of online voting platforms, cryptographic accountability mechanisms, and privacy-preserving contact tracing protocols (PACT). His research has influenced policy debates, with findings featured in major media outlets like the New York Times and The Economist. Awards & Recognition: 2023 EVN Research Award (for election security work) EFF Pioneer Award (2015 paper on encryption policy) Commendation from Senator Ron Wyden at DEFCON (2020) Teaching & Mentorship: Teaches courses on information security and the intersection of security/privacy with democracy. Actively recruiting PhD students in systems security and applied cryptography with policy interests. Provides mentorship through Georgia Tech’s Computer Science PhD program and postdoc opportunities via a dedicated application form. Professional Contributions: Serves on program committees for top venues like Usenix Security, IEEE S&P, and NDSS. Co-authored amicus briefs to reform the Computer Fraud and Abuse Act (CFAA) and contributed to Google’s Syzkaller Linux kernel fuzzer.

• Computer Security
• Operating Systems
• Hardware Security
• +3 more

C Giuffrida is an Associate Professor at the Faculty of Science, Vrije Universiteit Amsterdam, with affiliations to the Network Institute and the Systems and Network Security group. His research focuses on computer systems security, hardware vulnerabilities, and software reliability. Giuffrida holds a PhD in Computer Systems from Vrije Universiteit Amsterdam (2014). His academic contributions span multiple areas including transient execution attacks, fuzzing techniques, and hardware-software co-design for security. Research Interests: Hardware Security: Investigating vulnerabilities like Spectre, Rowhammer, and speculative execution risks. Software Security: Focusing on memory safety, compiler optimizations, and exploit mitigation strategies. Systems Research: Developing tools like BinRec for binary analysis and VPS for C++ vulnerability protection. His work has been recognized with awards such as the Distinguished Paper Award in 2021. Giuffrida supervises advanced courses in operating systems and hardware security, and has guided 16 PhD theses to completion.

Robert C Kemerait JrView profile

Professor

• Plant Pathology
• Crop Disease Management
• Agricultural Entomology
• +5 more

Robert C Kemerait Jr is a Professor in the Department of Plant Pathology at the University of Georgia, affiliated with the College of Agricultural and Environmental Sciences. His research focuses on plant disease management, particularly in peanuts, cotton, soybeans, and corn, addressing fungal pathogens like Cercospora arachidicola and nematodes such as Meloidogyne arenaria. He leads extension programs providing disease management recommendations and coordinates initiatives like Peanut Rx and sentinel plot monitoring for soybean rust and corn diseases. Key research areas include fungicide efficacy, aflatoxin mitigation, and international collaborations in crop disease management (e.g., Haiti, Guyana). He has authored over 244 scholarly works and secured grants from USDA, Cotton Incorporated, and commodity commissions. Holds a PhD in Plant Pathology (University of Florida, 2000) and B.S. degrees in Chemistry and Biology (University of Florida and Davidson College). Recipient of awards including the 2022 Bailey Award and G.O. Ocfemia Award for Extension contributions. Recent publications emphasize genomic studies of pathogens, fungicide combinations, and spatial analysis of aflatoxin distribution in peanut fields. His work integrates precision agriculture technologies like drone spraying and sentinel plot systems for disease surveillance.

Jyh-haw YehView profile

Professor

• Cybersecurity
• Machine Learning
• Data Privacy
• +5 more

Jyh-haw Yeh is a **Professor of Computer Science** at Boise State University, serving as the **Program Co-director of the MS Cybersecurity Program**. He holds a Ph.D. in Computer and Information Science and Engineering from the University of Florida. His research focuses on **cybersecurity**, **machine learning**, **data privacy**, and **cryptography**, with contributions to malware detection, adversarial machine learning, and secure communication protocols. He leads initiatives to enhance cybersecurity education, such as the **GenCyber Teacher Camps**, and collaborates on projects like intelligent IoT systems and cloud-based security solutions. Dr. Yeh advises students in the Cybersecurity Emphasis program and actively contributes to community outreach, including workshops for educators and high-school students. His work bridges academic research and practical applications, addressing challenges in network security, data integrity, and AI-driven threat detection. Education: Ph.D., University of Florida, Computer and Information Science and Engineering Affiliations: College of Engineering, Computer Science Department Key Roles: MS Cybersecurity Program Co-director, Cybersecurity Curriculum Developer His research spans technical advancements in encryption, malware analysis, and AI ethics, with a focus on real-world implementations in industries like nuclear power plant decommissioning and smart cities.

Jesse SherburnView profile

Adjunct Professor

• Meshfree Methods
• Computational Mechanics
• Impact Engineering
• +6 more

Jesse Sherburn is an Adjunct Professor at Mississippi State University, Maranatha Baptist University, and Liberty University, with a focus on computational mechanics and materials science. He holds a Ph.D. in Mechanical Engineering from Mississippi State University (2010) and has over a decade of experience in research and teaching. Ph.D., Mechanical Engineering, Mississippi State University, 2010 M.S., Mechanical Engineering, Mississippi State University, 2007 B.S., General Studies with Applied Science Emphasis and Math Minor, Maranatha Baptist University, 2004 Sherburn's research spans meshfree methods , impact engineering , and concrete technology , with applications in projectile penetration, shock wave modeling, and structural analysis. His work integrates advanced computational techniques to study damage mechanics in ultra-high performance concrete and other materials. His publications highlight expertise in multiscale modeling , Lagrangian/semi-Lagrangian coupling , and numerical simulations of extreme deformation problems. Key contributions include developing the Nonlinear Meshfree Analysis Program (NMAP) and analyzing airblast propagation in enclosed structures. Sherburn has collaborated extensively with the US Army Engineer Research and Development Center and contributed to technical reports on hardened installation protection systems, predictive modeling, and dynamic structural response.

Pablo Salva GarciaView profile

Lecturer

• Network Management
• 5G Networks
• Software-defined Networks
• +4 more

Dr. Pablo Salva-Garcia is a Lecturer and Programme Leader of the BSc in Web and Mobile Development at the University of the West of Scotland (UWS). He earned his PhD at UWS and has contributed to EU Horizon projects such as SelfNet, SliceNet, and 6GBrains. His research focuses on 5G/6G networks, network slicing, edge computing, and cognitive control planes. He actively participates in the Beyond5GHub, emphasizing practical applications in industrial and aerospace sectors. Salva-Garcia's education includes a PhD from UWS, reflecting his deep institutional involvement. His research interests span Network Management, Software-Defined Networks (SDN), and Cloud Computing. Recent work emphasizes 6G architecture innovations, hardware acceleration (e.g., eBPF-XDP), and topology-aware slice management. His articles highlight trends in 5G/6G deployment challenges, economic feasibility of aerospace 5G, and hardware-based network slicing. He collaborates internationally, addressing multi-tenant network security and real-time video optimization in virtualized environments. Grants/Projects: EU Horizon projects (SelfNet, SliceNet, 6GBrains), Beyond5GHub collaboration. Advising: Accepting PhD students in mission-critical communications and next-gen networks. Salva-Garcia leads the BSc in Web and Mobile Development, integrating academic rigor with industry-relevant skills. He also contributes to the design of immersive network management interfaces and scalable video optimization frameworks.

Nicola J. QuickView profile

Lecturer

• Marine Conservation
• Marine Mammal Acoustics
• Anthropogenic Noise Effects
• +2 more

Dr Nicola J. Quick is an Adjunct Assistant Professor at the Nicholas School of the Environment and a Lecturer in Marine Conservation at the University of Plymouth, UK. She holds a PhD in animal behavior and acoustics from the University of St Andrews (2006). Her research focuses on marine mammal acoustic behavior and anthropogenic noise impacts, with applications in conservation policy and industry mitigation strategies. Education: PhD, University of St Andrews, United Kingdom (2006) Research Focus: Dr Quick investigates cetacean behavioral responses to environmental stressors using advanced statistical modeling, satellite telemetry, and acoustic monitoring. Her work bridges marine conservation, animal movement ecology, and anthropogenic disturbance studies, particularly in deep-diving species. Primary domains include: Marine mammal diving physiology and foraging plasticity Development of telemetry and acoustic analysis methodologies Conservation frameworks for noise-impact mitigation Publication Trends: Her recent articles (2020-2024) demonstrate strong emphasis on: Statistical modeling of animal movement and disturbance responses Innovative cetacean monitoring technologies (satellite tags, aerial surveys, deep learning) Physiological adaptations in extreme marine environments Grants & Collaborations: Atlantic Behavioral Response Study (HDR, Inc.) - Multi-year project on cetacean disturbance responses EOWDC Bottlenose Dolphin Movements (SMRU Consulting) - Habitat use analysis North Atlantic Right Whale Tagging (HDR, Inc.) - Migration and behavior study She partners with military, energy, and government sectors globally to translate research into policy.

Nicole MartinView profile

Researcher

• Plant Pathology
• Ecosystem Restoration
• Nutrient Cycling
• +3 more

Nicole Martin is a Faculty Research Assistant at Oregon State University's Department of Botany and Plant Pathology, affiliated with the College of Agricultural Sciences. She works under Principal Investigator Dr. Jay Pscheidt, focusing on managing hazelnut diseases such as Eastern Filbert Blight, Bacterial Blight, and Kernel Mold through experimental and applied research. Her research spans ecosystem restoration, nutrient cycling, and invasive species control in Hawaiian lowland wet forests, as well as agricultural disease management. Recent publications highlight her contributions to functional trait-based restoration, plant-animal diversity interactions, and global impacts of non-native species. Scientific Awards: Outstanding Employee of the Year, Research Corporation of the University of Hawaii (2018) Her work includes evaluating fungicides and copper-based products for hazelnut disease control, optimizing pruning strategies, and developing the REST tool for species selection in restoration projects. Collaborative efforts with institutions like the USDA Forest Service underscore her interdisciplinary approach.

Antoine KaufmannView profile

Professor

• Computer Systems
• Operating Systems
• Network Systems
• +2 more

Antoine Kaufmann is a Tenure-Track Faculty Member (W2) at the Max Planck Institute for Software Systems (MPI-SWS) and serves as Adjunct Faculty at TU Munich's Chair of Distributed Systems and Operating Systems. He leads the operating systems research group focusing on post-Moore systems – specialized architectures integrating hardware and software components. Education includes a PhD from University of Washington's Allen School of Computer Science and Engineering, and Bachelor/Master degrees from ETH Zürich. His work bridges systems research and practical implementations, resulting in publications at top-tier venues including SOSP, OSDI, and EuroSys. Research Interests: Centers on the interplay of software and hardware in specialized systems. Key areas include network communication architectures, machine learning systems, and methodologies for efficient post-Moore systems with manageable complexity through reusable components. Publications: Focus on network systems, operating systems, and distributed computing, with recent work on simulation frameworks (SplitSim), virtualized network stacks (Virtuoso), and reconfigurable packet processing (Kugelblitz). Awards: Distinguished Artifact Award for Clockwork at OSDI 2020. Teaching & Service: Developed courses on Operating Systems and Accelerating Applications with Specialized Hardware. Regularly serves on program committees for EuroSys, MobiSys, and other top conferences.

• Modern Methods of Construction
• Modular Construction
• Structural Steel Engineering
• +9 more

Associate Professor Daniel McCrum is a faculty member at the School of Civil Engineering, University College Dublin (UCD). He holds a PhD from Trinity College Dublin and has held academic positions at Queen's University Belfast and UCD. His research focuses on modern methods of construction, structural steel, resilience of infrastructure, and cyber-physical threats. He leads the Modern Methods of Construction Research Group (MMCRG) and is involved in projects like Construct Innovate and the Horizon 2020-funded PRECINCT initiative. Education: BEng (1st class) from Trinity College Dublin (2005), MSc in Structural Engineering (2006, University of Glasgow), PhD in Civil Engineering (Trinity College Dublin, 2008). Research interests include modular construction, cold-formed steel design, bridge aerodynamics, and critical infrastructure resilience. He has supervised over 15 postgraduate researchers and led numerous funded projects including EU-funded research on construction standards and predictive modeling tools. Awards include the 2022 Teaching Excellence Award and the 2016 Fulbright Scholarship. Professional roles include Programme Director for Civil Engineering programs at UCD, Head of Teaching and Learning (2019–2020), and member of Construct Innovate's Centre Executive Management Committee. He is a Chartered Structural Engineer with the Institution of Structural Engineers and an active peer reviewer for journals like Engineering Structures and Structure and Infrastructure Engineering. Key contributions include advancing CFS structural analysis, developing robustness frameworks for cyber-physical infrastructure, and aerodynamic studies on long-span bridges like the Queensferry Crossing. His work integrates computational methods with experimental testing to address challenges in construction safety and disaster resilience.

Marco AbbadiniView profile

Adjunct Professor

• Computer Security
• Privacy
• Computer Science
• +5 more

Marco Abbadini is an Adjunct Professor and Postdoctoral Researcher in Computer Science and Engineering at Università degli Studi di Bergamo, Italy. His research focuses on Computer Security and Privacy, with interests spanning Cybersecurity, Cloud Computing, and Sandboxing technologies. He holds an MSc from the same institution and previously served as a Visiting PhD Student at IMDEA Software Institute in Madrid (Oct 2024 – Mar 2025). Abbadini is affiliated with the Seclab research group and contributes to EU projects like GLACIATION and MOSAICrOWN. He teaches courses on Database Systems, Operating Systems, and Programming for Management Engineering students, with active roles in tutoring and curriculum development. His work integrates theoretical research with practical implementations, emphasizing secure computing environments and data governance frameworks. He has participated in international conferences including IEEE ICC 2024 and USENIX Security 2022, presenting advancements in sandboxing techniques for cloud and web environments. Abbadini’s contributions address modern challenges in securing distributed systems, leveraging technologies like eBPF and containerization. His academic page (ORCID: 0000-0001-7115-1867) reflects a strong publication record in top-tier venues such as RAID, ASIACCS, and CloudCOM.