Find Academic Supervisors

Elmira DjafarovaView profile

Professor

• Digital Influencers
• Consumer Behavior
• Social Media Engagement
• +5 more

Elmira Djafarova serves as the Head of the Marketing Subject Group in the Department of Marketing, Operations, and Systems at Northumbria University's Faculty of Business and Law. She holds a PhD in Tourism and is a Senior Fellow of the Higher Education Academy. Her academic leadership includes roles as Programme Director for Top-Up and Postgraduate Business programmes, focusing on enhancing international student experiences through initiatives like the International Mentoring Scheme. Her research spans digital influencers, social media engagement, consumer behavior, and tourism marketing. Notable contributions include studies on influencer credibility, crisis resilience via digital technology, and Generation Z's ethical consumption patterns. She has authored over 30 journal articles in outlets like *Computers in Human Behavior* and *Tourism Analysis*, and actively reviews for *Tourism Management* and *Journal of Advertising Research*. Research Interests: Electronic Word of Mouth, Social Media Analytics, Crisis Communication, Digital Marketing Professional Roles: Associate Editor for *Journal of Marketing Management*, Programme Chair at the Academy of Marketing Conference (2016) Recent work explores the impact of data usage patterns in Africa and the effectiveness of mindfulness interventions against fake news. She supervises PhD candidates researching cancel culture, showrooming behavior, and university search experiences. Djafarova has presented keynotes at the Operational Research Society and participates in international conferences on marketing innovation and digital transformation.

• Business Process Management
• Process Mining
• Explainable AI
• +5 more

Chun Ouyang is a Professor at Queensland University of Technology (QUT) in the School of Computer Science within the Faculty of Science. With an extensive publication record spanning over two decades from 2002 to 2025, Professor Ouyang has established themselves as a leading researcher in Business Process Management, Process Mining, and Explainable AI. Their work bridges theoretical foundations with practical applications across healthcare, finance, and industrial sectors. Professor Ouyang's research interests primarily focus on Business Process Management systems, Process Mining techniques, Explainable Artificial Intelligence, and Healthcare Process Analysis. Their work has evolved from foundational BPMN/BPEL translation research in the early 2000s to sophisticated process mining approaches in the 2010s, and most recently to cutting-edge Explainable AI applications in clinical and business contexts. They have developed novel methodologies for process querying, predictive process analytics, and XAI evaluation frameworks that have significantly advanced the field. Their research consistently emphasizes practical applicability while maintaining strong theoretical foundations, with publications in top-tier journals and conferences including IEEE Transactions, Springer journals, and major BPM conferences. Analysis of Professor Ouyang's recent publications (2023-2025) reveals a strategic research trajectory that integrates traditional process mining with modern AI techniques, particularly focusing on explainability and trustworthiness. Their work demonstrates a consistent pattern of addressing real-world challenges through rigorous methodological development, with increasing emphasis on healthcare applications, clinical decision support systems, and the ethical implications of AI deployment. The publications show strong interdisciplinary collaboration patterns, particularly with medical researchers and industry partners. Professor Ouyang has mentored numerous PhD students and early-career researchers who have gone on to establish themselves in the BPM and AI communities. Their research group at QUT has secured multiple competitive grants supporting innovative work in process analytics and AI. They maintain active collaborations with leading researchers globally, including Catarina Pinto Moreira, Arthur ter Hofstede, and Moe Wynn. Professor Ouyang leads the Process Analytics Research Group at QUT, which focuses on developing advanced techniques for business process analysis, prediction, and optimization. The group maintains strong industry connections with healthcare providers, financial institutions, and government agencies, ensuring their research has practical impact. Current projects include developing trustworthy AI systems for clinical decision support, cross-organizational process analysis frameworks, and next-generation process mining techniques for complex, distributed systems.

Jedidiah CrandallView profile

Associate Professor

• Internet Security
• Censorship Resistance
• Network Security
• +3 more

Jedidiah Crandall is an Associate Professor at Arizona State University's School of Computing and Augmented Intelligence, with an affiliation to the Biodesign Center for Biocomputing, Security and Society. His research focuses on Internet censorship, network security, and privacy-preserving technologies. Crandall collaborates with journalists and activists to expose surveillance mechanisms, particularly in politically sensitive regions like Russia and China. His work includes analyzing VPN vulnerabilities , decentralized censorship systems , and cross-border data flows . He teaches advanced courses in computer network security and advises graduate students on thesis/dissertation research. Research trends in his publications emphasize measuring state-level information control , attack vectors in modern networks , and secure communication technologies . Notable work includes TSPU: Russia's censorship infrastructure and Hidden Links: Analyzing Secret Families of VPN Apps . Crandall's teaching spans courses like Advanced Computer Network Security and Applied Cryptography , reflecting his commitment to preparing the next generation of security professionals. His Censored Planet project tracks global Internet censorship patterns through large-scale measurements.

Enkelejda KasneciView profile

Professor

• Human-Centered Technologies
• Artificial Intelligence in Education
• Multimodal Interaction
• +4 more

Prof. Dr. Enkelejda Kasneci is a Distinguished Professor at the Technical University of Munich (TUM), leading the Chair of Human-Centered Technologies for Learning. She holds dual affiliations within TUM School of Social Sciences and Technology and TUM School of Computation, Information and Technology. Her research integrates AI, eye-tracking, and immersive technologies to advance educational paradigms. She directs the TUM Center for Educational Technologies and chairs the MSc program 'AI in Society.' Education: PhD in Computer Science from University of Tübingen (2013), M.Sc. from University of Stuttgart (2007). Earlier roles include Assistant Professor and Dean of Studies at University of Tübingen. Research Focus: Human-centered AI applications in education, multimodal interaction design, and privacy-preserving eye-tracking. Her work bridges technology and pedagogy through projects like AI tutor PEER, VR Classroom, and Privacy-Preserving Eye-tracking. Key Projects: Leads EU-funded projects VIVA (€1.125M), DigiProMIN (€163K), and SARA Kids (€244.8K). Active in policy initiatives like Europe’s AI Imperative. Awards: TUM Heinz Maier-Leibnitz Medal (2024), Liesel Beckmann Distinguished Professorship (2022), and Südwestmetall Research Prize (2014). Grants & Advising: Over €5M in secured funding across 12+ projects. Supervises 14+ PhD researchers and mentors postdocs in AI education and HCI. Labs & Teams: IT-Stiftung EdTech Lab houses advanced VR/eye-tracking setups. Research group includes 20+ members spanning AI, HCI, and educational technology.

Fabrice Le GuelView profile

Professor

• Digital Economics
• Privacy Economics
• AI Economics
• +3 more

Fabrice Le Guel is a Full Professor of Economics and researcher at the University of Paris-Saclay, affiliated with the RITM Research Center. He serves as Director of the Master 2 'IREN' (Network Industries and Digital Economy) and leads interdisciplinary research groups across law, economics, management, and computer science. His research focuses on digital economics, privacy economics, AI ethics, and computational economics. He has overseen numerous research contracts and contributed to high-impact publications in economics and technology fields. Teaching includes courses at L1/L3/M1/M2 levels on Privacy Economics, Digital Economics, Computational Economics, and Industrial Economics. He has secured grants such as ANR DAPCODS (2017–2021), HUMAAINE Chair (2021–2025), and multiple CNRS-funded projects. His work spans topics including algorithmic bias, digital market governance, and sustainable consumption. Professional service roles include Co-Director of RITM Research Center, membership in the DATAIA Institute’s program committee, and refereeing for journals like Technological Forecasting & Social Change and IEEE Internet of Things Journal . His interdisciplinary approach bridges economic theory with digital technology challenges.

Fu-Kuo ChangView profile

Professor

• Multi-functional materials
• Intelligent structures
• Structural health monitoring
• +7 more

Fu-Kuo Chang is a Professor in the Department of Aeronautics and Astronautics at Stanford University, with a secondary affiliation in the Bio-X program. His research focuses on multifunctional materials, intelligent structures, and structural health monitoring (SHM), emphasizing applications in aerospace, robotics, and medical devices. He has pioneered work on embedded sensors, self-diagnostic systems, and energy storage composites. Academic Appointments: Professor (Stanford), Editor-in-Chief of International Journal of Structural Health Monitoring (since 2012), and Chair of the International Workshop on Structural Health Monitoring (since 1997). Honors: Multiple lifetime achievement awards in SHM, AIAA and ASME Fellowships, and the NSF Presidential Young Investigator Award (1988). Research interests include bio-inspired sensory materials, autonomous systems (e.g., 'fly-by-feel' vehicles), and multidisciplinary integration of structural mechanics, electrical engineering, and materials science. His recent work addresses challenges in smart skins for robotics, thermoplastic composites, and predictive modeling of material degradation. Publications span structural health monitoring, advanced composites, and robotics, reflecting expertise in both theoretical and applied domains. His lab, the Structures and Composites (SACL) laboratory, drives innovation in smart materials and system integration. Advising: Supervises doctoral and master’s students in aeronautics and materials science. Grants/Contributions: Active in industry and government collaborations, including roles on the US Army Research Laboratories Advisory Board and leadership in SHM industry initiatives.

• Cartography
• Geospatial Analysis
• Urban Planning
• +4 more

Prof. Liqiu Meng serves as Chair of Cartography and Visual Analytics at the Technical University of Munich (TUM). He specializes in advanced geospatial research, digital cartography, and human-technology collaboration frameworks. Current Faculty at TUM Chair of Cartography and Visual Analytics Research Focus: His work bridges cartographic theory with cutting-edge technology, covering topics like 3D urban modeling, AI ethics visualization, geovisual analytics, and spatiotemporal data interpretation. Urban Morphology Analysis AI Ethics Cartography Geovisual Analytics 3D City Data Integration Location-Based Service Design Publications: Recent works (2025-2024) demonstrate expertise in explainable AI for urban analysis, multi-agent systems for geospatial interaction, and advanced spatial modeling techniques. Contact: liqiu.meng@tum.de | contact.lfk@ed.tum.de

Qinghua LuView profile

Research Professor

• Responsible AI
• AI Safety
• Software Engineering for AI
• +9 more

Dr Qinghua Lu is a leading researcher and Group Leader of the Software Systems Research Group at CSIRO's Data61, Australia’s premier data science and innovation center. She is a key contributor to international AI safety and governance initiatives, including Australia’s AI Safety Standard, OECD.AI’s trustworthy AI metrics, and the EU General-Purpose AI Code of Practice. Her research centers on Responsible AI , AI Safety , and Software Engineering for AI , with a focus on Agent Engineering, AI architecture, and DevOps. Her work has set foundational directions in the field, particularly through her widely cited roadmap on engineering responsible AI systems. Dr Lu has authored over 200 publications in top-tier journals and conferences such as ICSE, FSE, AAAI, and NeurIPS. Her recent publications reflect a strong trend in trustworthy AI, software engineering practices for AI systems, and evaluation frameworks. Her 2023 paper Towards a Roadmap on Software Engineering for Responsible AI won the ACM Distinguished Paper Award, highlighting its impact. She has received numerous honors, including: 2023 APAC Women in AI Trailblazer Award IEEE HITC Mid Career Award (2023) Julius Career Award (CSIRO, 2021–2025) Multiple ACM SIGSOFT Distinguished Paper Awards IEEE Transactions on AI Outstanding Associate Editor (2024) Dr Lu actively contributes to the academic community as Associate Editor for IEEE Transactions on Artificial Intelligence , Engineering Applications of AI , and other journals. She serves as Area Chair for ICSE’26, Program Chair for AIware’25 and CAIN’25, and has reviewed for top conferences including NeurIPS, ICML, and IJCAI. She leads a vibrant research group focused on Agent Engineering and AI Safety, driving innovation in architecture design, evaluation, compliance, and supply chain security for AI systems.

Rachel Devorah Wood RomeView profile

Assistant Professor

• Electronic Music
• Creative Coding
• Live Coding
• +12 more

Rachel Devorah Wood Rome is an Assistant Professor in the Electronic Production and Design (EPD) department at Berklee College of Music, where she teaches creative coding, live coding, and music technology. Her work bridges electronic music, improvisation, and critical theory, with a focus on sonic cyberfeminism, archival practices, and the social meanings of sound and space. Ph.D. in Music Composition and Computer Technologies, University of Virginia (2018) M.L.I.S., San José State University (2017) M.A. in Music Composition, Mills College (2013) B.Mus. in Horn Performance, CUNY Queens College (2007) Her research explores superhuman prolongation, opaque complexity, and the re-signification of archaic tools in sonic media. She values machines for their patience and memory, and her creative practice emphasizes critical agency in technology design and use. She performs under the name 'mehetabel' when using archival materials in improvised electronic music. The most recent publications and performances reflect a deep engagement with AI and music, live coding, feminist media theory, and spatialized sound. Her works often involve real-time data processing, generative systems, and collaborative improvisation, situating sound within broader social, political, and technological contexts. Ruth Anderson Installation Prize (IAWM) New Music USA Grant Fellowships from MIT OpenDocLab, Adrian Piper Foundation, Ina GRM, New Museum, and Jefferson Scholars Foundation Residencies at EMS Stockholm, STEIM Amsterdam, MassMoCA, and Cove Park Rome advises emerging artists in electronic music and creative coding, many of whom have gone on to establish their own practices. She is also active in academic service, including curriculum development, faculty governance, and labor organizing as a Councilor for the Berklee Faculty Union. She leads initiatives in DEI, sound design, and coding pedagogy within the EPD department. She has been involved in interdisciplinary collaborations with artists, technologists, and institutions worldwide, presenting work in galleries, festivals, and academic conferences across North America, Europe, and Asia. Her leadership extends to nonprofit arts organizations, where she has served as Executive Director and grantwriter.

Andrea J. LiuView profile

Professor

• Soft Matter Physics
• Biophysics
• Statistical Mechanics
• +9 more

Andrea J. Liu is the Hepburn Professor of Physics and Professor of Chemistry at the University of Pennsylvania, within the School of Arts & Sciences. She is based in the Department of Physics and conducts interdisciplinary research at the intersection of theoretical physics, soft matter, and biophysics. Her education includes a Ph.D. from Cornell University (1989) and a B.A. from the University of California, Berkeley (1984). Dr. Liu's research focuses on soft matter physics and biophysical self-assembly . She investigates the universal framework of jamming in disordered systems such as glass-forming liquids, foams, and granular materials. Her work explores how these systems develop yield stress or long relaxation times under varying conditions. On the biological side, she studies the mechanical reorganization of actin networks in the cytoskeleton during cell crawling, modeling polymerization, branching, crosslinking, and force generation at the leading edge of cells. Her research combines analytical theory and numerical simulations to uncover the dynamical principles governing morphology and mechanical properties in complex soft and biological materials. Scientific Awards: Hepburn Professor of Physics Dr. Liu leads an active research group focused on theoretical and computational modeling in soft condensed matter and biophysics. Although specific grants are not listed, her position and named professorship imply sustained funding and academic leadership. She advises graduate students and contributes to advanced research training in physics and interdisciplinary sciences. The research group maintains a website, though access to the '/liugroup/' directory is currently restricted (403 Forbidden). However, her curriculum vitae is publicly accessible, indicating ongoing scholarly activity.

• Responsible Innovation
• Entrepreneurship
• Digital Health
• +12 more

Tatiana Aleksandrovna Iakovleva is a Professor of Entrepreneurship Studies at the University of Stavanger (UiS), affiliated with the UiS School of Business and the Department of Innovation, Management and Marketing. She is actively engaged in research on responsible innovation, digital health, user involvement, and entrepreneurship. Her research interests include responsible innovation, digital health, user engagement in innovation, living labs, open innovation, stakeholder involvement, healthcare innovation, social innovation, and regional development. She explores how innovation can be conducted ethically and inclusively, particularly in public and healthcare sectors. Her recent publications (2020–2025) reveal a strong focus on responsible innovation in digital health, user empowerment, and collaborative innovation spaces such as living labs. Themes include stakeholder inclusion, boundary innovation spaces, patient engagement, and the role of universities in regional development. Her work spans interdisciplinary fields, combining insights from management, public health, innovation studies, and social sciences. She has collaborated extensively with researchers such as Elin Merethe Oftedal, John Bessant, Raj Kumar Thapa, and others, contributing to high-impact journals and international conferences like ISPIM and Routledge handbooks. She advises students and researchers in entrepreneurship and innovation, though specific names are not listed in the provided text. She is involved in projects related to digital health innovation, responsible research, and university-industry collaboration. She is associated with the Norwegian Smart Care Lab and participates in participatory research involving service users and professionals in mental health care. Her work emphasizes inclusive and responsible approaches to innovation, particularly in public service contexts.

Robert J.K. JacobView profile

Professor

• Human-Computer Interaction (HCI)
• Brain-Computer Interfaces (BCI)
• User Interface Design
• +5 more

Robert J.K. Jacob is a Professor of Computer Science at Tufts University, affiliated with the School of Engineering's Department of Computer Science. His research focuses on Human-Computer Interaction (HCI), particularly implicit brain-computer interfaces (BCI) using fNIRS and EEG technologies. He has held visiting positions at University College London, Université Paris-Sud, and MIT Media Lab. Education: Ph.D. in Computer Science from Johns Hopkins University. Research Interests : Jacob's work explores novel interaction techniques, adaptive interfaces, and BCI applications. Current projects emphasize real-time fNIRS-based systems for effortless user input, cognitive workload assessment, and neuroadaptive technologies. His lab investigates how brain signals can enhance user interfaces in domains like music learning, gaming, and urban design. Recent Trends in Articles : Recent publications highlight advancements in BCI design, neuroadaptive systems, and interdisciplinary applications of fNIRS. Work spans theoretical frameworks (e.g., NeuroCHI ethics) to practical tools like the Tufts fNIRS dataset. Key themes include improving BCI calibration, exploring AI's role in urban environments, and integrating affective computing into artistic interfaces. Awards : ACM Fellow (2016) ACM CHI Academy Membership (2007) Best Paper Award at CHI 2016 Advising & Grants : Supervised 15+ Ph.D. alumni in HCI and BCI. Served as Vice-President of ACM SIGCHI and co-chair of UIST/CHI conferences. Active in editorial roles for Human-Computer Interaction and ACM Transactions on Computer-Human Interaction . Labs & Teams : Directs the Tufts HCI Lab in the Joyce Cummings Center. Collaborates with interdisciplinary teams on projects like the Marble Track Audio Manipulator and Reality-Based Interaction Framework.

Soumaya CherkaouiView profile

Professor

• Artificial Intelligence
• Telecommunications Networks
• Quantum Computing
• +6 more

Soumaya Cherkaoui is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. Previously, she served as a Full Professor at Université de Sherbrooke and held industrial roles as an aerospace project manager. Her research integrates artificial intelligence with telecommunications, focusing on quantum computing, frugal edge intelligence, and applications in connected vehicles and IoT. Current Position: Full Professor, Polytechnique Montréal Prior Academic Role: Full Professor, Université de Sherbrooke Industry Experience: Aerospace Project Manager Research Interests: Convergence of AI and communications, quantum computing for networking, frugal intelligence at the edge, and applications in autonomous vehicles, industrial IoT, and smart grids. She leads government and industry-funded projects, including a $6 million quantum initiative in 2025. Recent Publication Trends: Her 2025–2024 work emphasizes quantum-enhanced anomaly detection (via QGANs), Open RAN slicing with quantum optimization, and reinforcement learning for secure cognitive radio networks. Topics span 5G/6G, vehicular networks, and zero-trust architectures. Scientific Awards: IEEE Communication Society Distinguished Lecturer (2020) ACM Mirela Notare Award (2023) IEEE Bio-Inspired Computing STC Leadership Award (2023) N2Women: Stars in Networking and Communications (2023) Best Paper Awards at IEEE ICC 2017, IEEE LCN 2021, ICCSPA 2024 Advising and Grants: Supervised 3 Master's students in 2024, with research on quantum GANs and federated learning for vehicular networks. Secured grants like the $6 million quantum project (2025) and participated in CFI-QC government funding (2022). Editorial and Leadership: Served as Associate Editor for IEEE, Wiley, and Elsevier journals. Chaired conferences like IEEE LCN 2019 and IEEE ICC2025, and held leadership roles in IEEE Communications Society committees.

Brian UzziView profile

Professor

• Social Networks
• Complexity Theory
• Embeddedness
• +5 more

Brian Uzzi holds the Richard L. Thomas Professorship of Leadership and Organizational Change at Northwestern University's Kellogg School of Management. He serves as Co-Director of the Northwestern Institute on Complex Systems (NICO) and The Ryan Institute on Complexity (RIC), with additional appointments in Sociology at Weinberg College of Arts and Sciences and Industrial Engineering and Management Sciences at McCormick School of Engineering. His educational background includes a PhD in Sociology (1994) from State University of New York, Stony Brook, an MS in Organizational Psychology (1989) from Carnegie Mellon University, and a BA in Business Economics (1982) from Hofstra University. Prior to academia, he worked as a carpenter and musician. Research Focus: Dr. Uzzi's work centers on social networks, complexity theory, and the concept of embeddedness—the idea that individuals and organizations operate within social networks that significantly influence their achievements, economic activity, and creative output. His research examines how AI facilitates mind-machine partnerships and how network structures affect scientific collaboration, innovation, and leadership. His work spans sociology, management science, computer science, and ecology, with practical applications in business and government. His recent publications reveal a strong focus on the science of science, exploring topics like innovation abandonment, social media's role in political violence, promotional language in scientific grants, and gender diversity's impact on scientific creativity. The research consistently applies network science to understand patterns of human achievement and organizational performance. Euler Award recipient (2022) from the Network Science Society Member of the American Academy of Arts and Sciences Network Science Society Fellow Multiple 'Professor of the Year' awards at Kellogg World Wide Web Best Paper Prize (2016-2017) As an educator, Dr. Uzzi has developed innovative courses on network science for managers and executives. His consulting work extends to companies and governments worldwide, applying network science principles to real-world challenges in leadership, organizational design, and AI strategy. His research has been funded by DARPA, NSF, and other foundations, demonstrating its significance across multiple disciplines.

Gennie GebhartView profile

Associate Professor

• Computer Security
• Privacy
• Third-Party Tracking
• +4 more

Gennie Gebhart is the Managing Director of Technology at the Electronic Frontier Foundation (EFF), overseeing Engineering & Design, Public Interest Technology, and Technical Operations teams. She concurrently serves as an Affiliate Associate Professor at the University of Washington's Allen School of Computer Science & Engineering. Her leadership spans both applied technology development and academic research in digital rights. Education: Gebhart holds a Master of Library and Information Science from the University of Washington Information School. Prior to EFF, she was a Henry Luce Scholar conducting work in Laos and Thailand. Research Focus: Her work centers on consumer privacy and security ecosystems, with specialized investigations into: Behavioral tracking infrastructures and data broker networks Policy frameworks for digital platforms and content governance Encryption technologies for communications (e.g., secure messaging) Open knowledge systems and equitable information access Honors: Recognitions include the competitive Henry Luce Scholars Program fellowship, supporting immersive professional work in Southeast Asia. Professional Engagement: She contributes to academic communities through program committee roles for computer security research conferences, bridging industry and scholarly discourse on emerging threats.