Find Academic Supervisors

• Computer Graphics
• Geosciences Visualization
• Virtual Reality Applications
• +3 more

Assoc. Prof Daniel Patel holds a position in the Department of Computing, Mathematics, and Physics at Western Norway University of Applied Sciences (HVL). His research focuses on interdisciplinary applications of computer graphics and visualization techniques in geosciences, VR training systems, and educational technology. Key areas include collaborative software for subsurface CO2 storage, seismic data interpretation, and vision-training serious games for children. His work bridges computer science with geology, energy systems, and marine biology, emphasizing real-time visualization algorithms and secure rendering methods. He has pioneered VR training systems for safety assessment and developed web-based 3D geology visualization tools using open standards like X3DOM. His research also extends to acoustic marine species identification and GPU-optimized rendering techniques. Notable contributions include advancements in homomorphic-encrypted volume rendering for secure visualization, multi-GPU processing with the Vulkan API, and sketch-based geological modeling tools. His projects often integrate modern hardware (e.g., VR headsets) with game engines to enhance training and educational outcomes.

Dimitar JovevskiView profile

Professor

• Digital Marketing
• Social Media Marketing
• Search Engine Optimization
• +4 more

Dimitar Jovevski is a Full Professor and Chair of E-business at the Department of E-Business, Faculty of Economics, Ss Cyril and Methodius University in Skopje, North Macedonia. He has served the institution since 2008, earning his MSc in 2011 and PhD in 2014 from the same faculty. His educational background includes: PhD in Economics (2014, Faculty of Economics-Skopje) MSc in Economics (2011, Faculty of Economics-Skopje) Professor Jovevski specializes in digital marketing and e-business with core expertise in Social Media Marketing (Facebook, Instagram, Google advertising), Search Engine Optimization, Digital Sales Funnels, and Digital Analytics. His research examines Big Data Analytics and AI adoption in Macedonian SMEs, e-commerce security, and pandemic-driven digital transformation. He actively consults for companies and start-ups to enhance their digital growth strategies. His publication trends reveal consistent focus on North Macedonia's business landscape, with recent works analyzing ChatGPT in accounting, digital transformation productivity, and SME technology adoption. The research demonstrates strong empirical grounding in local business contexts while addressing global digital marketing challenges. Teaching over 200 students annually, he delivers undergraduate courses in Digital Marketing and Social Media Marketing, alongside postgraduate instruction in Internet Marketing Tools and Applications. His professional engagement includes active profiles on Google Scholar, ORCID, and ResearchGate for disseminating academic contributions.

• Computer Science
• Software Engineering
• Machine Learning
• +6 more

Dario Di Nucci is a Researcher at Joint Academic Data Science (JADS), focusing on Data Analytics and Data Governance . His work intersects Computer Science , Software Engineering , and Machine Learning , with key contributions to DevOps, Infrastructure-as-Code, and Smart Contracts. Recent Publications include a 2025 review on Data Mesh architecture in ACM Computing Surveys , 2024 studies on vulnerability fix mapping in open-source repositories (ACM Transactions) and automated smart contract testing (Science of Computer Programming), and 2022 empirical analyses of linguistic inconsistencies in infrastructure-as-code (Empirical Software Engineering) and defect prediction via process metrics (IEEE Transactions on Software Engineering). These works collectively advance methodologies in code quality, security, and natural language processing. Collaborations span institutions like Vrije Universiteit Brussel and Tilburg University , with media coverage in 2023 highlighting his research in machine learning and cloud computing. He has supervised at least one PhD student (Supervised Work section) and contributed datasets like Detecting Code Smells Using Machine Learning Techniques (2018, Figshare).

Önder BaburView profile

Researcher

• Clone Detection
• Model-Driven Engineering
• Analytic Model
• +5 more

Önder Babur is a University Researcher at Eindhoven University of Technology in the Department of Mathematics and Computer Science, specializing in Software Engineering and Technology. His research focuses on software analytics, model-driven engineering, and machine learning applications in software development. Research interests span clone detection, analytical modeling, and information retrieval systems. His work integrates deep learning techniques to advance software development processes and source code analysis. Publications demonstrate strong focus on empirical software engineering, with recent trends showing applications in energy systems, digital twins, and cyber-physical systems. Research consistently incorporates machine learning methodologies across domains. Research Output (2023-2025): 8 journal articles on software analytics and ML applications 7 conference contributions on model-driven engineering 3 datasets related to computational modeling

Joanne HindsView profile

Senior Lecturer

• Computer Science
• Psychology
• Digital Behavior
• +4 more

Joanne Hinds is a Senior Lecturer in the Department of Management Information, Decisions & Operations at the University of Bath. She holds affiliations with the Applied Digital Behaviour Lab, EPSRC Centre for Doctoral Training in Cyber Security, Centre for Business, Organisations and Society (CBOS), Centre for Future of Work, and Institute for Digital Security and Behaviour (IDSB). Her research focuses on interdisciplinary studies combining computer science and psychology to understand human behavior in digital contexts, with an emphasis on cybersecurity, metascience, and digital traces of behavior. Key projects include co-PI roles in grants such as the 'Science of Sentiment Analysis' and leading initiatives like 'Gentle Interventions For Security' using digital devices. Her work has been funded by the ESRC, Research England, and UK Government. Notable contributions include systematic reviews on personality prediction from digital footprints and studies on computational reproducibility in psychological research. Research Themes: Digital behavior analysis, metascientific methods, cybersecurity, sentiment analysis, and human-technology interaction. Grants: Co-PI on multiple interdisciplinary projects, including EPSRC-funded initiatives. Dr. Hinds’ publications span peer-reviewed journals like Psychological Bulletin and Journal of Personality and Social Psychology , focusing on topics such as sentiment analysis taxonomy, platform-controlled social media APIs, and digital data ethics frameworks.

Y. Richard YangView profile

Professor

• Computer Networks
• Wireless Networking
• Mobile Computing
• +2 more

Y. Richard Yang is a Professor of Computer Science and Electrical Engineering at Yale University, where he leads research in computer networks, wireless systems, and distributed computing. He is a core member of Yale's Computer Systems Lab and has pioneered Internet standards like ALTO (RFCs 7285/9439/9569). His work on massive MIMO (Argos) laid foundations for 5G cellular networks. Education: Ph.D. in Computer Science, University of Texas at Austin (2001) M.S. in Computer Science, University of Texas at Austin (1998) B.E. in Computer Science, Tsinghua University (1993) Research Interests: Yang's work spans network architecture (ALTO/P4P), wireless innovations (beamforming, superposition coding), and network verification (Flash, Trident). His recent focus includes deep application-network integration and scalable data plane verification for cloud/CERN-scale systems. Publication Trends: Recent articles emphasize SDN programmability (Maple, Trident), Internet-scale optimization (ALTO extensions), and high-speed verification (Flash). His works consistently bridge theory (game-theoretic models) with practical deployment (RFCs, CERN integration). Awards: ACM SIGMobile Test of Time Award (2022) ACM SIGCOMM NAI Best Paper Award (2022) NSF CAREER Award Facebook/Google/Microsoft Faculty Research Awards Students & Funding: Advised recent graduates including Jackie Dong and Lily Zhou. Secured grants from U.S. NSF, Army, U.K. MoD, Facebook, Google, and Microsoft. Labs: Directs projects in the Computer Systems Lab at Yale , collaborating with CERN, Microsoft Research, and Tsinghua/Peking Universities.

Keith EgglestonView profile

Professor

• Climatology
• Meteorology
• Environmental Science
• +4 more

Keith Eggleston is a Professor at Cornell University's College of Engineering, contributing to climatology, meteorology, and environmental data science. He leads research on climate products, precision agriculture tools, and data quality assurance for weather observations. His work integrates regional climate modeling with practical applications in agriculture and water resource management. Key research focuses include developing climate atlases, improving NOAA climate data accessibility, and analyzing extreme weather events. He pioneered the NEWA system (Network for Environment and Weather Applications), providing decision-support tools for fruit IPM and irrigation management. Eggleston's methodologies enhance the reliability of historical meteorological data through advanced quality assurance frameworks. His contributions span climatology, hydrology, and environmental informatics, addressing challenges in regional climate impacts and long-term environmental monitoring. Collaborations include federal agencies like NOAA and the Northeast Regional Climate Center.

• Computer Science Education
• Computer Systems
• Object-Oriented Programming
• +5 more

Mark A. Holliday is a Professor of Computer Science at Western Carolina University (WCU), where he has served since 2004. He holds a Ph.D. in Computer Science from the University of Wisconsin–Madison (1986) and has extensive experience in academia, including roles as Interim Department Head (2007–2009) and Visiting Research Scientist at institutions like the University of Portsmouth (UK) and the University of Toronto. His primary affiliation is with the Department of Mathematics and Computer Science at WCU. Education Background: Ph.D. in Computer Science, University of Wisconsin–Madison (1986) Master's in Computer Science, University of Wisconsin–Madison (1982) B.A. in Mathematics and Economics, University of Virginia (1978) Research Interests: Holliday focuses on enhancing computer science education, particularly in teaching methodologies for programming concepts (e.g., memory diagrams for object-oriented programming), computer systems, and networking. His work includes developing educational tools like interactive animations for network concepts and memory diagram assessments. He also explores performance analysis of parallel architectures and distributed computing. Prior Research Areas: Included grid computing, web services, memory reference traces in parallel systems, and shared memory multiprocessors. His recent projects include the National Storm Surge Database and applications for public access to environmental data. Advising & Grants: While no specific students are listed, Holliday has led curriculum development initiatives and collaborated on projects funded by institutions like the National Oceanic and Atmospheric Administration (NOAA). He has served on the ABET Computing Accreditation Commission since 2023, contributing to accreditation standards. Labs/Teams: His work involves interdisciplinary collaboration, including contributions to the Distributed Systems Group (University of Portsmouth) and the development of the Storm Surge Viewer application.

Sarah RichmanView profile

Researcher

• Community Ecology
• Climate Change Biology
• Plant-Pollinator Interactions
• +3 more

Dr. Sarah Richman is a Researcher in the Department of Environmental Systems Science at ETH Zurich, affiliated with the Professorship for Plant Ecological Genetics. Her work bridges theoretical ecology and applied conservation through the Translational Centre for Biodiversity Conservation, a collaborative initiative with Swiss stakeholders. She investigates plant-pollinator interactions, focusing on climate change impacts, pesticide effects, and species distribution dynamics. Her research integrates ecological theory with practical conservation strategies, emphasizing biodiversity maintenance and food security. Richman's studies explore how environmental stressors like pesticides and climate shifts alter pollinator behavior and plant fitness. She employs interdisciplinary approaches, combining field observations with lab experiments to assess sublethal pesticide effects and phenological mismatches in alpine ecosystems. Her recent contributions include co-founding the ETH Translational Centre, which synthesizes scientific knowledge for conservation practitioners. Key research themes include nectar robbing consequences, pollinator body size adaptations, and the cognitive ecology of foraging decisions. Her articles highlight both basic ecological mechanisms and applied solutions, such as pesticide risk assessment and policy-informed conservation strategies. While no scientific awards are noted, her work demonstrates impactful contributions to bridging ecological science and real-world conservation challenges.

• Machine Learning
• Inference Acceleration
• World Models
• +4 more

Hongyang Zhang is a tenure-track Assistant Professor at the University of Waterloo's David R. Cheriton School of Computer Science and Faculty of Mathematics, affiliated with the Vector Institute for AI. His research bridges theoretical and applied aspects of machine learning, including world modeling, AI inference acceleration, and security. He leads the SafeAI Lab and holds memberships in the AI Institute and Cybersecurity and Privacy Institute. Dr. Zhang completed his Ph.D. at Carnegie Mellon University's Machine Learning Department and conducted postdoctoral research at Toyota Technological Institute at Chicago. His educational background includes a degree from Peking University. Research interests focus on: Developing generative world models for robotics and autonomous systems Creating efficient algorithms for accelerating LLM inference Building System-2 LLMs for enhanced reasoning Advancing AI security against adversarial threats Publications demonstrate strong focus on efficient AI systems and security, with recent work on EAGLE series acceleration techniques and The Matrix world generation framework dominating top conferences like ICML, NeurIPS, and CVPR. Awards and honors: 1st place in CVPR 2021 Security AI Challenger Multiple NeurIPS challenge wins in adversarial vision AAAI New Faculty Highlights awardee IEEE Senior Member Leads SafeAI Lab focusing on trustworthy AI systems and regularly serves as area chair for top machine learning conferences including NeurIPS, ICML, and ICLR.

Riccardo ScandariatoView profile

Professor

• Software Security
• Cybersecurity
• Usable Security
• +6 more

Riccardo Scandariato is a full professor and head of the Institute of Software Security at Hamburg University of Technology (TUHH), Germany. He coordinates the International Master in Information and Communication Systems and has held academic positions at institutions like the University of Virginia, Politecnico di Torino, KU Leuven, and the University of Gothenburg before joining TUHH in 2020. Education: PhD in Computer Science from Politecnico di Torino (2004). Career highlights include leading interdisciplinary research in software security, vulnerability repair, and AI-driven cybersecurity solutions. Research focuses on secure software design, automated vulnerability repair, and empirical methods for cybersecurity. Key interests include microservices, IoT, and cyber-physical systems, with emphasis on developer-centric security practices and usable privacy features. Notable projects include SEC4AI4Sec (EU Horizon Europe) and KiThreat (CREATUM GmbH), addressing AI-augmented systems and GenAI-based software risks. Former projects include CASUS (automotive security assurance cases) and CyReV (automotive cyber resilience). Research team includes senior researchers and PhD students working on topics like secure code generation (Catherine Tony), vulnerability localization (Cuong Bui Quang), and ML-driven threat analysis (Torge Hinrichs). Alumni have contributed to areas like automotive systems, privacy in smart homes, and architectural threat modeling. Grants: EU-funded AssureMOSS (2020–2023), H2020, and VINNOVA-backed CASUS (2017–2021). Committees: PC member of major conferences like ECSA, ARES, and SANER. Steering committee for ARES. Labs/Teams: Leads the Institute of Software Security at TUHH, focusing on interdisciplinary tools for secure application design. Collaborates with industry partners like Volvo and CREATUM GmbH.

Gustavo SandovalView profile

Adjunct Professor

• Machine Learning
• Distributed Systems
• Operating Systems
• +2 more

Gustavo Sandoval is an Industry Professor of Computer Science and Engineering at New York University’s Tandon School of Engineering. With over 25 years of industry experience, he has held senior roles at Microsoft, GroupMe, and founded Bergen Labs, a tech consulting firm. His expertise spans software engineering, distributed systems, and project management. He holds patents for innovations in Office applications and slide show technologies. Education: Master of Science in Computer Science, California State University Sacramento, 1996 Research Interests: Machine Learning: Focus on security implications of AI in code generation and user interactions. Distributed Systems: Expertise in scalable architectures for global deployments (e.g., Hotmail Delivery System). Mobile Applications: Development of cross-carrier SMS systems and mobile app lifecycle management. Professional Highlights: Architected Microsoft Office’s Organization Chart feature (patented in 1997). Managed MSN Mobile’s SMS Alert service serving 44M users. Delivered parity between Windows and Windows Phone APIs, impacting 20% of core features. Awards and Patents: U.S. Patent #6,456,305: Organization Chart Generation U.S. Patent #6,396,500: Slide Show Animation System Labs & Consulting: As Bergen Labs’ CTO, he advises startups and enterprises on mobile and data applications, blending technical and business strategy.

Nigel Patrick MelvilleView profile

Associate Professor

• Digital Transformation
• Artificial Intelligence
• Energy Informatics
• +3 more

Nigel Patrick Melville is an Associate Professor of Technology and Operations at the University of Michigan's Ross School of Business . He holds a PhD in Information Systems from UC Irvine (2001), an MSE in Electrical and Computer Engineering from UC Santa Barbara (1990), and a BS in Electrical Engineering from UCLA (1988). Research Focus: Technology-enabled organizational change, digital transformation, AI capabilities/risk, and energy informatics Expertise: Information systems, socio-technical theory, environmental sustainability, API value generation Industry Partnerships: Google, Amazon, Riot Games, Microsoft, Bouygues Immobilier, Indeed Scientific Contributions: Over 50 peer-reviewed publications with 11,000+ citations (H-index: 23). Seminal work on information systems for environmental sustainability (MIS Quarterly, 2010) and IT-organizational performance (MIS Quarterly, 2004 - top 0.16% cited in IS field). Keynote Engagements: - 2023 Munich Summer Institute: "Advancing Environmental Sustainability in the Fourth Industrial Revolution" - 2023 University of British Columbia: "Putting Humans Back in the Loop: An Affordance-based Framework for Safer AI Application" - 2021 London DIIESL: "Generating Business Value from Machine Interfaces"

Yuyan BaoView profile

Assistant Professor

• Programming Languages
• Software Engineering
• Formal Methods
• +5 more

Yuyan Bao is an Assistant Professor in the Department of Computer & Cyber Sciences at Augusta University, affiliated with the School of Computer and Cyber Sciences. His research focuses on programming languages, formal methods, and software security, particularly in developing frameworks for program correctness and security verification. He holds a Ph.D. in Computer Science from the University of Central Florida (2017), a ME from Beihang University (2007), and a BE from Beijing University (2003). Education: Ph.D., Computer Science, University of Central Florida, 2017 ME, Computer Software Engineering, Beihang University, 2007 BE, Computer Science, Beijing University, 2003 Research interests include formal verification, higher-order functional programming, domain-specific languages, and secure multi-party computation. Recent work emphasizes reachability types for aliasing and separation tracking, and graph intermediate representations for optimization in impure languages. His projects include HACCLE for secure MPC and collaborations on cryptographic API misuse detection. His publications span formal methods, type systems, and security analysis, with a focus on practical applications of theoretical frameworks. He serves on the Faculty Search Committee and as a Journal Editor for Computer Software and Media Applications.

David KopecView profile

Associate Professor

• Computer Science Education
• Mobile App Development
• Open Source Software
• +2 more

David Kopec is an Associate Professor and Co-Program Director of the Computer Science program at Champlain College’s Division of Information Technology & Sciences. He holds an AB in Economics and an MS in Computer Science from Dartmouth College, along with an Executive MBA from Quantic School of Business & Technology. His expertise spans Mobile App Development, Open Source Software, and Computer Science Education. Dr. Kopec authored the Classic Computer Science Problems book series (in Swift, Python, Java) and Dart for Absolute Beginners . He contributes to open-source projects like SwiftGraph and SwiftPriorityQueue. His research emphasizes practical algorithm implementation and pedagogical approaches to programming education. Previously, he worked as a startup consultant and co-founder focusing on iOS development while maintaining part-time adjunct roles. He hosts the Kopec Explains Software podcast and actively engages in academic discussions through publications and conferences.