Find Academic Supervisors

Henrikki TenkanenView profile

Assistant Professor

• Geospatial Analysis
• Urban Planning
• Transportation Accessibility
• +7 more

Henrikki Tenkanen is an Assistant Professor in the Department of Built Environment at Aalto University, specializing in Geoinformatics. His research focuses on geospatial analysis, urban planning, transportation accessibility, and open data applications for sustainable development. His primary research interests include Geospatial Analysis , Urban Planning , Transportation Accessibility , and Population Dynamics . Tenkanen's work integrates mobile phone data, social media, and open geospatial sources to understand urban environments, accessibility patterns, and carbon emissions. His research contributes significantly to UN Sustainable Development Goals related to sustainable cities and communities. Tenkanen's recent publications demonstrate strong trends in high-resolution spatial analysis of urban environments, with particular emphasis on transport equity , carbon emissions mapping , and rural population representation . His work combines advanced geocomputing techniques with practical urban planning applications, often developing open-source tools to enhance reproducibility and accessibility of geospatial research. As an active member of the academic community, Tenkanen serves as a peer reviewer for journals including Big Data & Society and Environment and Planning B, and participates in conference committees such as the International Conference on Location Based Services. His research has garnered significant attention, with multiple publications featured in news outlets and academic platforms. Tenkanen leads several major research projects including Geo-R2LLM (developing geographic large language models), Geoportti (open geospatial infrastructure), MAPICO (mapping commute-related carbon emissions), and LIH: Location Innovation Hub. His work bridges academic research with practical applications for urban planning and sustainable mobility.

Sherif KhattabView profile

Academic

• Cybersecurity
• Cloud Computing
• Internet of Things
• +3 more

Sherif Khattab is a Teaching Assistant Professor in the Department of Computer Science at the University of Pittsburgh's School of Computing and Information. With a Ph.D. in Computer Science from the University of Pittsburgh (2008), he brings extensive expertise in cybersecurity systems with applications across cloud computing, Internet of Things, electronic voting, and Big Data security. His research focuses on the systems aspects of cybersecurity, maintaining an h-index of 16 (Google Scholar) and 10 (Scopus) with over 60 publications. Khattab has successfully supervised more than 15 graduate students throughout his academic career. Prior to his position at Pitt, he served as an Associate Professor at Cairo University's Department of Computer Science, Faculty of Computers and Information. Professor Khattab teaches numerous undergraduate and graduate courses, with particular emphasis on hands-on ethical hacking and security education. His current teaching portfolio includes Algorithms and Data Structures (CS 0445) and Network Security (CS 1653), with extensive experience teaching operating systems, formal methods, and computer networks across multiple semesters. His research publications reveal consistent focus on practical security solutions for emerging technologies, with recent work addressing IoT security frameworks, blockchain-based voting systems, and cloud security challenges. The publication trend shows increasing emphasis on practical implementation aspects alongside theoretical security models. With industry experience from internships at Google Inc., Ericsson Data Networks, and Bosch Research, Khattab bridges academic research with real-world security challenges. His educational background includes a Bachelor's in Computer Engineering from Cairo University (1998) and both M.Sc. and Ph.D. in Computer Science from the University of Pittsburgh (2004 and 2008).

• Cybersecurity
• Cryptography
• Data and information privacy
• +2 more

Dr. Joonsang Baek is an Associate Professor at the School of Computing and Information Technology, University of Wollongong (since 2021). His research focuses on Cybersecurity , Cryptography , and Network Security , with notable contributions to digital signature revocation, attribute-based encryption, and privacy-preserving protocols. Member, Institute of Cybersecurity and Cryptology (since 2017) Supervision interests: Cybersecurity, Applied Cryptography, Network Security Research Highlights: Innovations in withdrawable signatures, secure cloud data sharing, and 5G authentication protocols. His work combines theoretical cryptography with practical applications in edge computing and AI-driven security systems. Grants: Led projects on ransomware datasets, dynamic access control, and TLS optimization. Collaborated with Data61, Discovery Projects, and industry partners on cybersecurity resilience initiatives. Collaborations: Frequent co-author with researchers like Willy Susilo, Cao Cao, and Xinyu Liu. Active in ACM Asia CCS, IEEE Transactions, and LNCS publications.

Kelly LyonsView profile

Professor

• Service Science
• Data Science
• Social Media
• +4 more

Professor Kelly Lyons is a Professor at the Faculty of Information at the University of Toronto, cross-appointed to the Department of Computer Science. Her research focuses on service science, knowledge mobilization, social media, and data-driven innovation. Prior to academia, she held roles at IBM Toronto Lab's Centre for Advanced Studies. She has secured extensive funding from NSERC, IBM, and industry partnerships, and has advised numerous graduate students. Her work bridges interdisciplinary collaboration, emphasizing AI governance, digital economy impacts, and fostering Women in Technology initiatives. Research interests include the application of social platforms in service systems, data science for knowledge translation, and the societal implications of AI. Key projects involve analyzing gender dynamics in user reviews, open-source software structures, and pandemic-driven innovation trends. Her grants span data science, healthcare analytics, and smart city technologies. Publications span empirical studies on GitHub collaboration, AI governance frameworks, and biomedical knowledge systems. She received the Best Paper Award for 'The Effect of Collaborative Games on Group Work' (2015). Her teaching emphasizes service systems design and project management, with a focus on practical, interdisciplinary learning. Active in scholarly service, she chairs the Consortium for Software Engineering Research and serves on ACM-W's Executive Council. Collaborations include cross-institutional projects with University College London and UCL on AI governance frameworks. Her work extends to promoting STEM education and diversity in tech.

Peng GaoView profile

Assistant Professor

• Cybersecurity
• Network Security
• AI for Security
• +7 more

Peng Gao is an Assistant Professor in the Department of Computer Science at Virginia Tech. He is affiliated with the Virginia Tech Security & Intelligence Lab and holds a Ph.D. in Electrical Engineering from Princeton University. Prior to his faculty position, he was a postdoctoral researcher at UC Berkeley and held research internships at Microsoft Research, Facebook, and NEC Laboratories America. Education includes a B.Eng. from Shanghai Jiao Tong University (2009-2013), M.A. and Ph.D. from Princeton (2013-2019), and an exchange program at the University of Hong Kong (2012). Key roles include Technical Program Committee memberships for conferences like IEEE S&P, USENIX Security, and CCS. Research focuses on Cybersecurity (APT prevention, network security with P4/eBPF) AI applications (LLMs for security, AI safety) Systems security (attack investigation, threat intelligence) AI for science (molecular/materials prediction) Notable awards include the 2022 Amazon-VT Initiative Faculty Award, CCI Fellowships, and multiple best paper nominations. His lab has received grants from CCI, NSF, and industry partners like Google Cloud and Cisco. Teaching includes courses on Principles of Computer Security (CS 4264) and Blockchain Technologies (CS 5594). He advises ~20 students across Ph.D., MS, and undergraduate levels.

• Pathogen Genomics
• Virus Diseases
• Bacterial Evolution
• +7 more

Tanya Golubchik is a Senior Lecturer in Computational Microbiology and an NHMRC Principal Research Fellow at the University of Sydney's School of Medical Sciences under the Faculty of Medicine and Health. She is affiliated with the Sydney Southeast Asia Centre and the Sydney Infectious Diseases Institute (Sydney ID). Her research focuses on applying modern genomics technologies to study pathogen evolution and transmission, particularly in viruses and bacteria with public health significance. She has collaborated extensively with institutions such as the University of Oxford's Big Data Institute and the PANGEA-HIV Consortium, contributing to HIV and SARS-CoV-2 genomic analysis. Educated at the University of Sydney with a dual major in biology and computer science, she earned her PhD in molecular biology. Her postdoctoral work at the University of Oxford involved pneumococcal vaccine escape variants and within-host bacterial evolution. She led computational analysis of SARS-CoV-2 sequencing during the pandemic as part of the COG-UK Consortium and returned to Sydney in 2022. Her research interests include understanding how pathogens evolve within hosts, develop strategies to combat infections, and integrate metagenomics for clinical insights. She has pioneered methods like targeted metagenomics for simultaneous sequencing and transcriptional profiling of pathogens. Recent work examines RSV intrahost diversity in infants and SARS-CoV-2 transmission dynamics in the UK. She also explores climate change impacts on disease through CLIMADE and investigates HIV transmission networks in Africa. Her scientific contributions include the 2023 Thompson Prize from the University of Sydney. Research grants span projects like genomics solutions for HIV surveillance in low-income settings, vector-borne disease detection amid climate change, and metagenomic studies in female reproductive health. Her work bridges epidemiology, genetics, and translational research, emphasizing interdisciplinary approaches to global health challenges. In advising and grants, she has secured funding for high-throughput sequencing and transmission network analysis. While no formal advisee names are listed, her supervisory roles in molecular epidemiology and bioinformatics suggest active student mentoring. Collaborations with international teams and institutes highlight her global engagement in addressing infectious disease threats through computational and genomic strategies. Key teams include the PANGEA-HIV Consortium, COG-UK, and CLIMADE. She leads initiatives at Sydney ID and the School of Medical Sciences, advancing pathogen genomics and outbreak response methodologies.

• Cyber-physical system security
• Threat modelling
• Critical infrastructure resilience
• +3 more

Dr. Carmen Cheh is a Research Scientist in the Department of Computer Science at the University of Illinois at Urbana-Champaign. She holds a Ph.D. in Computer Science from UIUC and a Bachelor of Computing (Hons) from the National University of Singapore. Her research focuses on cyber-physical system security, threat modeling, and critical infrastructure resilience. She has served as Co-Principal Investigator on two major grants: the 2023-2024 project on threat modeling for government systems and the 2022-2025 initiative on real-time fraud detection in e-commerce platforms. Her work bridges theoretical computer security with practical applications in critical infrastructure protection. Dr. Cheh has contributed to tools like CyberSAGE, which aids in automated security argument evaluation, and frameworks for detecting business logic flaws in software systems. She collaborates extensively with industry and government entities to advance cybersecurity practices in both digital and physical domains. Education: Ph.D., Computer Science, University of Illinois at Urbana-Champaign Bachelor of Computing (Hons), National University of Singapore Her research interests emphasize real-world security challenges in interconnected systems, including automated threat modeling, vulnerability discovery in business logic, and compliance frameworks for financial services. She has pioneered constraint-based methodologies for identifying security flaws in complex systems and developed novel approaches to insider threat detection using physical access data. Recent work explores the intersection of machine learning and cybersecurity in fraud detection systems. Her publications span top venues like ACM Transactions on Modeling and Computer Simulation, IEEE Secure Development Conference, and the IEEE International Conference on Computer Communications. Collaborations include projects with institutions like Argonne National Laboratory and the National Science Foundation.

• Intelligence Studies
• History of International Relations
• Terrorism and Counterterrorism
• +4 more

Prof. Bob de Graaff is a Professor of Intelligence and Security Studies at Utrecht University's Department of History and Art History, part of the Faculty of Humanities. He holds a PhD from Leiden University and has held multiple academic positions, including at Leiden University’s Campus The Hague (2007–2009) and the Netherlands Defense Academy (2010–2017). His research focuses on intelligence history, terrorism, and international relations, with notable projects including a history of the Netherlands Defense Intelligence and Security Service (ongoing until 2022). Education: MA in Contemporary History, Vrije Universiteit Amsterdam (1979) PhD in History, Leiden University (1997), thesis: Kalm temidden van woedende golven. Het Ministerie van Koloniën en zijn taakomgeving, 1912–1940 Research Interests: Intelligence studies, Cold War history, terrorism and counterterrorism, Srebrenica inquiry, Dutch decolonization, and military history. He has authored/co-authored over 50 publications, including Villa Maarheeze: de geschiedenis van de Inlichtingendienst Buitenland (1998) and Intelligence and Cold War behind the Dikes (1997). Projects: Leading the History of the Military Intelligence and Security Service project (2019–2022) Member of the editorial board for the Journal of Mediterranean and Balkan Intelligence Grants & Collaborations: Funded by the Netherlands Ministry of Defence for the Military Intelligence project Co-founder and board member of the Netherlands Intelligence Studies Association (NISA) Labs/Teams: Active in academic intelligence networks, particularly through NISA and editorial contributions to intelligence journals.

Griffin WeberView profile

Associate Professor

• Biomedical Informatics
• Social Network Analysis
• Team Science
• +5 more

Griffin Weber, M.D., Ph.D., is an Associate Professor of Medicine and Biomedical Informatics at Harvard Medical School (HMS) and Beth Israel Deaconess Medical Center (BIDMC). He directs the Biomedical Research Informatics Core (BRIC) at BIDMC. His research focuses on expertise mining, social network analysis, and biomedical informatics. Key contributions include developing Profiles RNS (an open-source research networking platform) and i2b2 / SHRINE federated query tools for clinical data. He holds MD and PhD degrees from Harvard (2007), and earlier degrees in bioengineering and computer science. Education: SB in Bioengineering (Harvard, 2000), SM/PhD in Computer Science (Harvard, 2004/2005), MD (Harvard, 2007). He served as Harvard Medical School's first Chief Technology Officer, building educational platforms for 500+ courses. His work spans DNA microarrays, breast cancer tumor modeling, and EHR bias analysis. Research Interests: Leveraging informatics to improve healthcare through federated data systems, team science dynamics, and EHR analysis. Projects include Profiles RNS for researcher networks and i2b2 for clinical data queries across institutions. He explores biases in EHR data filtering and visualizing healthcare system dynamics in biomedical data. Grant Leadership: Principal investigator on NIH grants addressing EHR biases (R01LM013345), healthcare system dynamics (U01CA198934), and scientific workforce networks (U01GM112623). Collaborator on PCORI and NIH-funded initiatives. Awards: 2020 Fellow of the American College of Medical Informatics; 2011 Top Podium Presentation (AMIA); 2007 Medical Technology Award (Massachusetts Medical Society). Labs/Teams: Leads BRIC at BIDMC, collaborates on i2b2/SHRINE, and contributes to the 4CE consortium for federated healthcare data analysis.

Mariel BorowitzView profile

Associate Professor

• Space Policy
• Earth Observation
• Space Security
• +5 more

Mariel Borowitz is an Associate Professor at the Sam Nunn School of International Affairs, Georgia Institute of Technology, and a leading expert in international space policy. Her work examines the intersection of technology, security, and global governance, with a focus on remote sensing, Earth observation, and space sustainability. PhD in Public Policy, University of Maryland MA in International Science and Technology Policy, George Washington University BS in Aerospace Engineering, Massachusetts Institute of Technology Her research explores space security , commercialization of space , and data sharing policies , analyzing how nations balance economic, environmental, and strategic interests. Recent publications address cislunar governance, satellite health monitoring, and the role of weather satellites in diplomacy. She has received multiple research awards, including the Ivan Allen College Gold Star Faculty Research Award (2024, 2021), and her work is supported by NSF, DoD, and NASA grants. Ivan Allen College Gold Star Faculty Research Award, 2024 MGMWERX Space Case Study Prize Challenge, 2020 European Commission Travel Grant, 2014 Dr. Borowitz serves as Director of International Space Situational Awareness Engagement at the U.S. Office of Space Commerce and has advised Congress on space safety. She has contributed to media outlets like NPR, The Verge, and Science Magazine.

Eric WustrowView profile

Associate Professor

• Computer Security
• Network Security
• Anticensorship
• +4 more

Eric Wustrow is an Associate Professor in the Department of Electrical, Computer, and Energy Engineering (ECEE) at the University of Colorado Boulder. His research focuses on computer security, network security, anticensorship, and protocol security. He has advised multiple PhD students including Abdulrahman Alaraj, Jackson Sippe, and Gaukas Wang. Research Interests: Network security and protocol analysis Anticensorship techniques and measurement Internet measurement and infrastructure analysis Cryptography and secure system design Notable Contributions: Developed ZMap, a fast internet-wide scanning tool Pioneered anticensorship research through projects like Telex and TapDance Conducted impactful studies on TLS vulnerabilities and cryptographic key management Awards: Best Paper at USENIX Security 2012 IRTF Applied Networking Research Prize (2024) Third Prize in 2021 Internet Defense Prize Labs/Teams: Active contributor to Refraction Networking projects and cybersecurity tool development initiatives.

Mark HarrisView profile

Associate Professor

• Information Security Management
• Socio-Behavioral Aspects of Technology Adoption
• Trust-Based Models in Cybersecurity
• +3 more

Mark Harris is an Associate Professor and Interim Department Chair in the Department of Cyber Security at Augusta University's School of Computer and Cyber Sciences. He holds a Ph.D. in Business/Commerce and Management Information Systems from Virginia Commonwealth University, along with multiple other degrees. His research focuses on socio-behavioral aspects of information security, particularly trust-based models influencing technology adoption (e.g., mobile payments, telemedicine). He has received awards including the Augusta University Graduate School Distinguished Service Award (2020) and SCCS Outstanding Faculty Award (2020). Education: Ph.D., Business/Commerce & MIS, Virginia Commonwealth University (2010) MS, Business, Old Dominion University (2003) BSBA, Management Information Systems, Old Dominion University (1999) Recent Research Trends: Recent publications emphasize trust frameworks in telemedicine adoption, mobile payment systems, and cybersecurity compliance strategies. His work bridges behavioral psychology with technological adoption barriers, frequently using empirical reviews to identify gaps in theoretical models. Awards & Service: Recipient of 2018 International Journal of Information Management Review Excellence Award Curriculum Sub-Committee Member at Augusta University's Graduate School Editorial Board Member for International Journal of Information Management Teaching & Leadership: Serves as Director of the Master’s in Information Security Management Program (2016–2022) and currently chairs multiple university committees. Teaches graduate courses on information security research and legal issues in cybersecurity.

Bharanidharan ShanmugamView profile

Associate Professor

• IoT Security
• Cyber Risk Management
• Network Security
• +3 more

Dr. Bharanidharan Shanmugam is an Associate Professor in Information Technology at Charles Darwin University's Faculty of Science and Technology. He specializes in cybersecurity, IoT security, and cyber risk management in microgrids. His research focuses on addressing real-world challenges in IoT, smart grids, and medical devices to enhance community impact. **Research Interests:** - IoT Security - Cyber Risk Assessment in Microgrids - Network and Information Security - Applied Cybersecurity Solutions - Blockchain and Privacy-Preserving Technologies **Key Projects (2019–2025):** - Cyber Territory Skills Hub (2023–2025) - Renewable Energy Microgrid Hub (2021–2024) - Blockchain-Based Digital Identity (2019–2020) **Publications:** Focuses on IoT security frameworks, intrusion detection systems, and AI-driven cybersecurity solutions. Recent works include studies on smart grid load forecasting, medical IoT threat detection, and water leakage detection using machine learning. **Grants & Supervision:** Principal Investigator on multiple ARC-funded projects. Supervises PhD students in DevSecOps and IoT security. Active in organizing workshops on digital awareness for indigenous communities.

Jan-David LiebeView profile

Professor

• Implementation Science
• Digital Health
• Human-Centered Design
• +3 more

Prof. Dr. Jan-David Liebe is a Professor of Digital Society at Osnabrück University of Applied Sciences, leading the Digital Health Management field. He holds a PhD in Business Informatics from the University of Osnabrück (2013–2018). His research focuses on implementation science in healthcare, human-centered design, and AI-driven healthcare innovations. He is a co-founder of innnow GmbH and an associated researcher at UMIT’s Institute for Medical Informatics. Key roles include heading the GMDS AG mwmKIS and contributing to national IT reports in healthcare. Research Interests: His work spans digital transformation in healthcare, evaluating healthcare IT maturity models, and fostering innovation through design thinking. Notable projects include benchmarking health IT systems and developing frameworks for AI-supported diagnostics. Professional Roles: Prof. Liebe serves as the Study Director for the Health Management MA program and Entrepreneurship Officer at the WiSo faculty. He actively contributes to research networks like the German Society for Medical Informatics and advises on healthcare IT strategies. Grants & Projects: Leads projects on cloud readiness of hospitals, VR-based medical training, and AI in echocardiography. His work is published in over 50 peer-reviewed articles, emphasizing practical applications of digital tools in healthcare workflows and policy. Affiliations: Member of the Research Commission and Study Committee at Osnabrück University of Applied Sciences. Collaborates with institutions like the Medical School Hamburg and Novia University of Applied Sciences.

• Software Engineering
• Cyber-Physical Systems
• Digital Ecosystems
• +3 more

Tero Päivärinta is a Professor at the University of Oulu, Faculty of Information Technology and Electrical Engineering. His work focuses on software engineering, digital ecosystems, and cybersecurity. He specializes in empirical studies of software systems, digital twins, and autonomous driving technologies. His research explores hybrid intelligence systems, data-centric decision-making, and governance of collective ambidexterity in digital initiatives. Education: PhD holder with extensive experience in academic and industry collaborations. Key research domains include cyber-physical systems, DevSecOps automation, and IT governance in public sectors. He co-leads projects such as the NUVE Lab’s vehicle testing frameworks and contributes to initiatives like the Software-Defined Vehicle project. Research highlights include advancing knowledge graphs for manufacturing, cybersecurity compliance in DevOps pipelines, and evaluating data-driven decisions. His articles emphasize interoperability challenges, adaptive systems design, and sustainable digital transformation in public utilities. Professional contributions include organizing the TKTP Annual Symposium and co-editing volumes celebrating academic peers like Markku Oivo. His work bridges theoretical software engineering with practical applications in mobility, governance, and industrial systems.