Find Academic Supervisors

• Digital Twins
• Complex System Simulation
• Virtual Reality
• +8 more

Saleh Abdel-Afou Alaliyat is an Associate Professor in Computer Science at the Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Sustainable Digital Transformation (SDT) R&D Lab. Research Interests: Dr. Alaliyat's work focuses on Digital twin architecture, simulation, and visualization in offshore energy and urban sustainability Artificial intelligence, particularly deep learning, swarm intelligence, and optimization algorithms Virtual worlds, 3D environments, and human-computer interaction Agent-based modeling for environmental and aquaculture systems Computer vision and information security applications Publications: His recent work (2022-2024) emphasizes predictive digital twins for wind energy, smart city applications, computer vision for litter detection, and AI-driven curriculum development. Earlier works (2013-2019) explore agent-based modeling for disease dynamics in aquaculture and swarm optimization algorithms. Teaching: He teaches courses in Game Development, Information Security, Computer Graphics, and Swarm Intelligence at both bachelor's and master's levels. Outreach: He has delivered lectures at international conferences like ECMS 2022 and IEEE ICMSAO 2019.

• Cybersecurity
• Wireless Sensor Networks
• Smart Grid Security
• +7 more

Dr. Yee Wei Law is a Senior Lecturer at the University of South Australia's (UniSA STEM) Mawson Lakes Campus. His research expertise spans cybersecurity, machine learning, and wireless sensor networks, with a focus on secure communication systems and autonomous vehicle localization. He serves as a Research Degree Supervisor and actively contributes to publications in IoT security, space systems, and privacy-preserving technologies. Research Trends : Recent work emphasizes domain adaptation for predictive maintenance, adversarial attack analysis in computer vision, and quantum key distribution for satellite-IoT networks. Key themes include security in smart grids, UAV-based gesture recognition, and collaborative privacy-preserving algorithms. Publications highlight interdisciplinary applications of machine learning in fault diagnostics, cloud detection via satellite, and secure networking protocols. His work bridges theoretical advancements with real-world implementations in hypersonic tracking and RFID security.

Kaicheng YangView profile

Researcher

• Computational Social Science
• Social Bots
• Misinformation
• +4 more

Kaicheng Yang is a postdoctoral researcher at Northeastern University , with an upcoming transition to Assistant Professor in the Department of Computer Science at Binghamton University in Fall 2025. His work bridges computational social science, AI ethics, and platform governance. Education: Ph.D. in Informatics from Luddy School of Informatics, Computing, and Engineering , Indiana University Bloomington His research investigates malicious information manipulation through social bots, algorithmic biases, and generative AI misuse, developing countermeasures for trustworthy online ecosystems. Recent publications explore domain-sharing patterns , news source credibility , and AI-generated social media fraud across journals like Scientific Data , PNAS , and Journal of Online Trust and Safety . Awarded Best Paper - Honorable Mention at the International AAAI Conference on Web and Social Media, Yang also contributes to open-source tools such as the LLM Domain Classification dashboard and Botometer X. His work has received media coverage from Wired , Forbes , and MIT Technology Review .

Jenny Sarah WescheView profile

Research Fellow

• Leadership
• Organizational Behavior
• Digitization and Automation in the Workplace
• +6 more

Dr. Jenny Sarah Wesche is a postdoctoral research fellow at the Division of Social, Organizational and Economic Psychology within the Department of Education and Psychology at Freie Universität Berlin. Previously, she served as a visiting professor in Occupational Health Psychology at Humboldt-Universität zu Berlin and earned her doctoral degree from Ludwig-Maximilians-Universität München. Current Postdoctoral Research Fellow at Freie Universität Berlin Former Visiting Professor at Humboldt-Universität zu Berlin PhD from Ludwig-Maximilians-Universität München Her research focuses on leader-follower dynamics in organizations, with a particular emphasis on digitization, automation, and ethical implications in workplace contexts. Key areas include algorithmic decision-making, acculturation in migration, and the psychological effects of human-automation interactions. Dr. Wesche's scholarly work appears in journals such as Computers in Human Behavior , Journal of Business Ethics , and European Journal of Social Psychology . Her publications explore themes like AI-driven recruitment, leadership ethics, and the intersection of technology and organizational behavior. Contact: jenny.wesche@fu-berlin.de | Office hours: Monday to Friday by appointment

• Computer Engineering
• Multimedia Security
• Embedded Systems
• +4 more

Cem Taşkın is an Assistant Professor at the Department of Computer Engineering, Trakya University, and has served as Department Head since January 2023. Previously, he was Assistant Professor at Tunca Vocational School (2011-2014) and held administrative roles as School Director (2013-2017) and Deputy Director (2012-2013). He earned his PhD in Computer Engineering from Trakya University in 2010. High School: Kırklareli Anatolian High School (1999) Bachelor's: Trakya University, Computer Engineering (2003) Master's: Trakya University, Computer Engineering (2006) PhD: Trakya University, Computer Engineering (2010) His research focuses on Computer Engineering , Multimedia Security , and Embedded Systems , with a strong emphasis on encryption techniques for MPEG video streams and mobile/web application development. Recent work includes applying interactive mobile applications for pediatric chemotherapy treatment (2022) and optimizing embedded systems as dashboards (2016). Publication trends reveal expertise in video encryption (I-frames, byte alignment, XOR operations), chaotic algorithms for sound data security, and software development for educational and administrative systems. His work bridges theoretical cryptography with practical implementations in multimedia and embedded environments. Supervised Master's Theses: Altuğ Yiğit - Human Insight in Business Processes with Deep Learning Temel Yavuz - Corporate Content-Information Management Systems Murat Emre Yücel - Text Classification with Active Learning Projects: Led initiatives at Trakya University on mobile application development laboratories (2016), campus automation systems (2016), and MPEG audio querying (2008). Participated in KOSGEB's R&D Innovation Project for Dream Cash Register/Barkot Systems (2012).

Leonora Onarheim BergsjøView profile

Associate Professor

• Digital Ethics
• Artificial Intelligence
• Big Data
• +7 more

Leonora Onarheim Bergsjø is an Associate Professor at Inland Norway University of Applied Sciences, specializing in digital ethics, artificial intelligence, and interdisciplinary research. She teaches digital judgment, ethics, and religious studies in teacher education programs, while also serving as a guest lecturer at institutions like the University of Oslo and MF University College. PhD from the University of Oslo Editor of 'Sensoriness and Transcendence: Perceptions, Revelations, and the Arts' (Brill, 2015) Author of 'Religious Citizenship: Disability, Equality and Human Perspectives' (Cappelen Damm, 2020) Her research focuses on ethical risk assessment of AI applications (ENACT project), e-health innovations (eCardiacRehab), and digital security frameworks. She leads the Norwegian Council for Digital Ethics (NORDE) and contributes to policy-making for authorities like the Ministry of Education and the Norwegian Institute of Public Health. Recent publications address algorithmic bias, ethical AI implementation, and metaverse ethics. She has received recognition for academic outreach, including a 2022 nomination for HiØ's Dissemination Award. Collaborates with international institutions on AI ethics Develops digital competence frameworks for kindergarten teachers Provides expert commentary on AI governance in media

Chun Tung ChouView profile

Associate Professor

• Molecular Communications
• Pervasive Computing
• Network Engineering
• +4 more

Associate Professor Chun Tung Chou is affiliated with the School of Computer Science and Engineering at the University of New South Wales (UNSW) . His research bridges molecular communications , signal processing , and systems biology . He holds a BA in Engineering Science from the University of Oxford and a PhD in Systems and Control Engineering from the University of Cambridge . Research Trends: Recent work focuses on molecular circuits for Bayesian information processing, 5G resource allocation , mmWave localization , and energy-harvesting sensor networks . Scientific Engagement: He serves on the editorial boards of IEEE Transactions on Molecular, Biological, and Multi-Scale Communications , Nano Communication Networks , and Frontiers in Communications and Networks . Supervision: He mentors students in interdisciplinary projects linking signal processing to biomolecular computation , requiring mathematical rigor and knowledge of molecular biology.

• Marketing Technology
• Customer Loyalty
• Augmented Reality in Marketing
• +5 more

Professor Jacobus de Ruijter (also published as Ko de Ruyter) holds multiple prestigious academic positions including Professor of Marketing at King's Business School, King's College London, Professor of Responsible Marketing Strategy at the University of Amsterdam, and Adjunct Professor at the School of Marketing, UNSW Business School, Australia. With an extensive publication record spanning over three decades, he is a leading scholar in marketing, particularly in the areas of customer loyalty, responsible marketing strategy, and the impact of technology on organizational frontlines and social media. His research interests center around Marketing Technology, Customer Loyalty, Augmented Reality applications in marketing, Service Marketing, Social Media Marketing, Responsible Marketing, Consumer Behavior, and Digital Transformation. Professor de Ruyter's work demonstrates a clear evolution from traditional marketing studies to cutting-edge research on AI, augmented reality, and the metaverse in consumer contexts. His recent publications (2022-2025) show a strong focus on how emerging technologies transform customer experiences and service delivery. Professor de Ruyter has published extensively in flagship academic business journals including the Journal of the Academy of Marketing Science, Journal of Marketing, Journal of Consumer Research, and Management Science. His research has significant practical implications for businesses navigating turbulent economic times and rapidly changing marketplaces. He has received notable recognition including a lifetime achievement award from the American Marketing Association for his leadership in the academic research community. Life-time achievement award from the American Marketing Association Professor de Ruyter bridges academic research with practical business applications, working closely with decision-makers in both private and public sectors. His expertise in translating fundamental marketing principles into actionable business strategies has made him an internationally renowned speaker at business events and conferences. His research demonstrates how state-of-the-art innovative technologies can be leveraged for business performance and transformation, with particular attention to the societal and practical relevance of marketing research.

Eleanor BirrellView profile

Associate Professor

• Computer Security
• Data Privacy
• Human-Computer Interaction
• +4 more

Eleanor Birrell is an Associate Professor of Computer Science at Pomona College, where she has been affiliated since 2018. She holds a Ph.D. and M.S. from Cornell University and a B.A. in Computer Science and Mathematics from Harvard University. Currently on sabbatical until Spring 2026, her office is located in Edmunds Hall 221 at Pomona College's Claremont, California campus. Her research specializes in human-centered security and privacy, examining intersections with psychology, law, and political science. Key investigations include: Human cognition patterns in security/privacy interactions Impact of privacy regulations on Internet privacy Public perceptions of privacy threats Usability of privacy interfaces and policy language comprehension Generational differences in privacy understanding Publication analysis reveals strong focus on empirical studies of privacy regulations (GDPR, CCPA, CPRA), usability of privacy interfaces (consent banners, app labels), and user comprehension of technical privacy terminology. Recent work emphasizes mobile ecosystems, regulatory compliance mechanisms, and cross-cultural comparisons. While no scientific awards are documented, Dr. Birrell maintains an active research program though is not currently accepting new students until 2026. No specific lab or team affiliations are mentioned in available materials.

Joseph E LeDouxView profile

Professor

• Memory and Emotion
• Threat Conditioning
• Neural Circuits of Fear
• +6 more

Joseph E. LeDoux is the Henry And Lucy Moses Professor of Science, University Professor, and Professor of Neural Science, Psychiatry, and Child and Adolescent Psychiatry at New York University's Faculty of Arts & Science. He leads groundbreaking research on the neural mechanisms of emotion, memory, and consciousness, with a particular focus on threat processing and fear conditioning. His laboratory has made seminal contributions to understanding how the brain detects and responds to danger, mapping the neural circuits involved in emotional learning and memory. LeDoux's research interests span memory and emotion, neural circuits of fear, consciousness studies, and the evolutionary history of emotional systems. His work combines animal and human studies using techniques including pharmacological and viral-based manipulations, neuroanatomical tract tracing, neural recordings, and fMRI. His theoretical contributions challenge traditional views of fear and emotion, emphasizing the distinction between conscious feelings and survival mechanisms. His recent publications reveal an expanding focus from basic fear conditioning to broader questions of consciousness, the gut-brain axis, and the philosophical implications of neuroscience findings. His work shows a clear trajectory from studying specific neural circuits to addressing fundamental questions about the nature of subjective experience across species. LeDoux's scientific honors include being a Fellow of the American Association for the Advancement of Science, the New York Academy of Science, and the American Academy of Arts and Science, as well as the 2005 Fyssen International Prize in Cognitive Science. Beyond traditional neuroscience, LeDoux maintains an active presence in public engagement through his band The Amygdaloids, which creates music about the brain and mind, and through numerous public lectures and interviews that translate complex neuroscience concepts for broader audiences. His recent lab closure announcement (August 31, 2023) indicates a transition phase in his research career while maintaining active scholarly contributions.

• Additive Manufacturing
• Digital Transformation
• Supply Chain Management
• +7 more

Siavash Khajavi Haghighat is an Assistant Professor at the Department of Industrial Engineering and Management of Aalto University . His research bridges digital technologies with industrial applications, focusing on additive manufacturing, digital transformation, and supply chain optimization. University: Aalto University Department: Industrial Engineering and Management Research Interests: His work explores the intersection of digital manufacturing and operational efficiency, with emphasis on: Industrial applications of Additive Manufacturing (3D printing in construction, automotive spare parts, and clothing) Integration of Machine Learning for waste sorting and process optimization Emerging technologies like Digital Twins and Blockchain for security and IP protection Collaborative innovation models such as Crowdsourcing in mega hackathons Strategic Supply Chain Management and Operations Management in volatile environments Publication Trends: Recent works highlight the transformative potential of human-AI symbiosis in manufacturing, hybrid digital systems , and sustainability through localized production. His studies often employ comparative case analyses and interdisciplinary frameworks. Contact: Email is siavash.khajavi@aalto.fi .

Marco SpeicherView profile

Professor

• Virtual Reality
• 3D User Interfaces
• Human-Computer Interaction
• +2 more

Prof. Dr. Marco Speicher is a Professor at Saarland University, associated with the Ubiquitous Media Technology Lab (UMTL). His work centers on Virtual Reality (VR) and 3D User Interfaces, with a focus on retail applications through projects like the Innovative Retail Laboratory (IRL) and Augmented Retail. Education: Master of Science (M.Sc.) from Saarland University (2014), thesis: "Exploring 3D Interaction Techniques for Stereoscopic Content using Consumer Tracking Devices" Scientific staff member and doctoral candidate at the German Research Center for Artificial Intelligence (DFKI) Research Interests: Marco Speicher's research spans Virtual Reality, 3D User Interfaces, and Human-Computer Interaction, with a strong emphasis on retail applications. His work in the IRL investigates VR shopping platforms, examining user preferences, incidental memorization, and advertising impact. He also explores authentication schemes, menu design, and text entry in VR environments. Scientific Awards: Best Teaching Award (2017) for the proseminar "Einführung in 3D User Interfaces" Advising and Grants: He has supervised over 15 Master's and Bachelor's theses on VR and 3D UI topics. His research is supported by projects including the Software Campus program (BMBF-funded) and EIT ICT Labs' Augmented Retail initiative. Labs and Teams: Speicher is a core member of the Ubiquitous Media Technology Lab (UMTL) and the Innovative Retail Laboratory (IRL) at Saarland University, where he leads the development of VR demonstrators for retail.

K Ram PrabhakarView profile

Researcher

• Computer Vision
• Image Processing
• Machine Learning
• +5 more

K Ram Prabhakar is an Assistant Research Scientist at Johns Hopkins University, advised by Prof. Rama Chellappa. Previously, he earned his Ph.D. from the Video Analytics Lab at the Computational and Data Sciences department of the Indian Institute of Science under Prof. R. Venkatesh Babu. He also worked as a Research Scientist at TCS Research in Bangalore. His research focuses on Computer Vision and Computational Photography , particularly in High Dynamic Range (HDR) Imaging , 3D vision, and image processing. His work spans applications in biometrics, remote sensing, and medical imaging. Recent publications highlight advancements in distillation-guided representation learning for video authentication diffusion models for fairness in face generation gait recognition thermal modality integration for low-light imaging and SAR (Synthetic Aperture Radar) applications . Scientific awards include IAPR Best Biometrics Student Paper Award (2024) Best Student Paper - Runner Up at BMVC 2021 . He has advised multiple students, including Yuxiang, Vishal, and Susmit, and contributed to projects on HDR deghosting, image fusion, and deep learning for computer vision tasks.

Alisa FrikView profile

Researcher

• Privacy and Security
• Behavioral and Experimental Economics
• Human-Computer Interaction
• +3 more

Dr. Alisa Frik is a Research Scientist at the International Computer Science Institute (ICSI) and a Postdoctoral Researcher at the University of California, Berkeley's Department of Electrical Engineering and Computer Sciences. As a member of the Usable Security and Privacy (BLUES) research group, she integrates behavioral economics and experimental methods to study privacy and security behaviors across vulnerable populations and emerging technologies. Ph.D. in Economics from University of Trento Consulting services for user experience and privacy Expert witness in legal cases involving user privacy Her research spans privacy in smart home devices, IoT security for seniors, behavioral interventions in digital advertising, and the economics of privacy protection. She employs mixed-method approaches including lab experiments, surveys, and experience sampling to analyze how trust, cognitive biases, and contextual factors shape technology interactions. Key article trends include privacy dynamics in smart homes, behavioral economics applications to security compliance, and human factors in emerging technologies like AR and AI. Her work addresses both primary users and bystanders' perspectives across healthcare, domestic, and commercial contexts. Alisa's expertise combines quantitative and qualitative methodologies with a focus on: Behavioral economics Privacy threat modeling User-centered security design Contextual integrity theory Security nudges Smart technology adoption

Anne AdamsView profile

Senior Lecturer

• Situated e-learning
• Threshold concepts
• Digital engagement
• +5 more

Anne Adams is a Senior Lecturer in Practice Centred Research and Development at The Open University's Institute of Educational Technology. She serves as Principle Investigator on the EU JuxtaLearn project, coordinating input from academic and industrial partners across Europe to develop systems for science and technology learning performances. As a co-investigator in the Catalyst project, she utilized her extensive experience in public and industrial technology research to support digital engagement initiatives. Her educational background includes a degree in Psychology with computing, an MSc in Human-Computer Interaction (HCI) at the UCL Interaction Centre, and a PhD at UCL spanning Computer Science and Psychology departments. Prior to joining The Open University in 2006, she held research fellow posts and part-time lecturing positions at UCL and Middlesex University, followed by a full-time lecturing post at Nottingham University's Computer Science department. Dr. Adams' research focuses on innovative situated and ethical eLearning knowledge through developing cutting-edge pervasive and ubiquitous eLearning technologies. Her overarching research interests include: Situated e-learning and Social inclusion (technology to overcome barriers to understanding), Practice based systems and intermediaries (role of 'boundary objects' within learning contexts), E-learning Identity and Security (privacy and authentication issues), and E-learning Research methods (how research methods impact design cycles). Her extensive publication record demonstrates consistent contributions to threshold concepts, tricky topics, and situated learning, with particular emphasis on the JuxtaLearn project. Her work shows a clear trajectory from theoretical research to practical implementation in educational settings, especially in developing systems that address learning barriers and promote social inclusion. Dr. Adams has led several significant initiatives including an innovative mentoring program focused on action research for professional development, the 'get it' project developing AL-generated professional development videos, and currently leads the teaching and learning 'transition pathways project' supporting research transitioning benefits for teaching and learning. Her work extends beyond academia through industrial presentations at GOOGLE and MICROSOFT, research collaborations with BT, Microsoft, OOKL and Catchermedia, public lectures in the ESRC and UCL public lecture series, and demonstrations for school children. She has also engaged with public bodies including the Home Office and NHS.