Find Academic Supervisors

• Algorithmic Persuasion
• Digital Vulnerability
• Online Privacy
• +4 more

Dr. Joanna Strycharz is an Assistant Professor at the Department of Persuasive Communication within the Faculty of Social and Behavioural Sciences at the University of Amsterdam. Her research focuses on algorithmic persuasion, digital vulnerability, online privacy, corporate surveillance, and consumer empowerment in digital markets. She holds a visiting address at Nieuwe Achtergracht 166 in Amsterdam and can be contacted via J.Strycharz@uva.nl. Her research explores how technological advancements like algorithmic profiling and corporate surveillance impact consumer behavior and privacy. Key themes include the ethical ramifications of data collection in advertising, chilling effects from surveillance, and interventions to enhance privacy protection. She has conducted comparative studies across the US, Netherlands, and Poland to analyze cross-cultural perceptions of digital surveillance technologies. Her recent work examines blockchain's potential in addressing fake advertising, the effectiveness of transparency disclosures, and the psychological coping mechanisms consumers employ against perceived surveillance. She frequently collaborates with industry stakeholders and regulators to bridge theoretical insights with practical challenges in digital markets. Her publications reflect a multidisciplinary approach, combining communication science, sociology, and technology studies. While no formal awards are listed, her work is cited for its innovative application of computational methods to societal issues. She actively participates in academic discussions through editorial roles and contributes to policy debates on digital consumer protection.

Claudia Sánchez-GutiérrezView profile

Associate Professor

• Second Language Acquisition
• Spanish Linguistics
• Learner Corpora
• +5 more

Claudia Sánchez-Gutiérrez is an Associate Professor of Spanish and Director of the First-Year Spanish Program at the University of California, Davis, within the College of Letters and Science's Spanish and Portuguese Department. She holds a Ph.D. and multiple M.A. and B.A. degrees in Spanish Linguistics and Philology from the University of Salamanca. Her research focuses on second language acquisition, morphological awareness, and pedagogical applications of learner corpora. She has advised numerous doctoral students who now hold academic and research roles at institutions like the University of Toronto and Northwestern University. She teaches courses ranging from elementary Spanish to advanced applied linguistics and syntax. Key roles include Assistant Editor of the Journal of Spanish Language Teaching , Chair of the Graduate Committee, and involvement in Mellon Foundation initiatives. Awards include the UC Davis College of Letters & Science Teaching Award and the AAUSC Excellence in Language Program Direction Award. Her publications span 20+ peer-reviewed articles and book chapters, emphasizing L2 Spanish morphology, textbook analysis, and online language teaching innovations. She has secured grants for online course development and curriculum enhancement, reflecting her commitment to advancing language education through technology and empirical research.

Jonathan LiView profile

Senior Lecturer

• Engineering Education Technology
• Educational Technology (Mobile/Web)
• Engineering Outreach
• +4 more

Dr Jonathan Li is an Education-Focused Senior Lecturer in the Department of Electrical and Computer Systems Engineering at Monash University, and serves as Deputy Associate Dean Education (First Year Studies) in the Faculty of Engineering. He holds a PhD from the University of Melbourne and a dual degree in Computer Science and Electrical/Electronic Engineering from the University of Western Australia. Prior to academia, he worked in optical fiber/wireless network optimization at Telstra Research Labs and a startup. His research focuses on educational technology (e.g., mobile/web platforms), engineering outreach programs, and diversity initiatives. Notable projects include developing the 'Online Sign Language Dictionary' to improve accessibility, the 'Catch me before I fail' early intervention framework for student academic success, and the iVERVE telehealth platform for stroke recovery support. He leads interdisciplinary collaborations across engineering education, healthcare technology, and STEM equity. Key contributions include advancing LMS-based student workload metrics, AR visualization tools for engineering education, and strategies to increase female participation in STEM. He has supervised over 40 research outputs since 2003, focusing on pedagogical innovation and clinical technology solutions. Current projects emphasize scalable educational interventions and recovery-focused healthcare systems.

Christian KeysersView profile

Professor

• Social Neuroscience
• Neural Basis of Empathy
• Mirror Neurons
• +5 more

Christian Keysers is a leading full professor of Social Neuroscience at the University of Amsterdam and head of the Social Brain Lab at the Netherlands Institute for Neuroscience (NIN). He has held tenured positions since 2000, focusing on the neural basis of empathy, mirror neurons, and social cognition across species. Department Head, Social Brain Lab, NIN (2010–now) Full Professor, Social Neuroscience, University of Amsterdam (2014–now) Full Professor, Social Brain, University of Groningen (2007–2014) His research explores how mirror neurons and embodied cognition underpin empathy, using neuroimaging, electrophysiology, and animal models. He has pioneered cross-species approaches, linking empathic mechanisms in humans and rodents to prosocial behavior and moral conflict. Recent publications highlight his work on predictive coding , altruism , and touch interventions . His findings have been published in Nature Neuroscience , Current Biology , and PLoS Biology . Scientific Awards: ERC Consolidator Grant (2012) VICI Grant (2016) Marie Curie Excellence Grant (2005) IPPY Prize for 'The Empathic Brain' (2012) Keysers actively shapes European research policy as a member of the Future and Emerging Technologies advisory board and the Young Academy of Europe. His book 'The Empathic Brain' won critical acclaim for science communication.

• Information and Communication Technologies
• Human-Computer Interaction
• Sociology of Digital Cultures
• +4 more

Christian Licoppe is a Professor in the Social Sciences department at Telecom Paristech, specializing in the sociology of information and communication technologies. He has served as Deputy Director of the Institute for Interdisciplinary Innovation (CNRS UMR 9217) since 2015 and leads the Interact research group. His career spans roles at France Telecom-Orange Research Laboratories, CNRS, and C.N.E.T., focusing on technology's societal impacts and mediated interaction. 1995: Habilitation à diriger des recherches, University Paris VII 1994: PhD in epistemology and history of exact sciences, University Paris VII 1985: PhD in condensed matter physics, University Paris VII 1981: Engineer, Ecole Nationale Supérieure des Télécommunications 1979: Engineer, Ecole Polytechnique Licoppe's research explores mediated interaction, digital cultures, and human-technology co-evolution. His work spans mobile communication, video conferencing, suicide prevention technologies, and digital justice systems. Key methodologies combine ethnographic observation with interactionist analysis. Recent research projects include: VisioJustice (French ANR funded): Videoconferencing in judicial contexts Electronic Monitoring (Paris Saclay IDEX): Digital surveillance systems QuantiSelf (French ANR): Self-tracking technologies Cyberjustice Program (SSHRC Canada): Digital legal processes Mobile Dating (Forum des Vies Mobiles): Geolocation-based dating His publications examine: Mobile media's impact on sociality Transformations in interpersonal communication Notification systems' social implications Interaction design in digital platforms Virtual presence in legal and gaming contexts ICTs' role in contemporary social organization

• Cybersecurity
• Information Assurance and Security
• STEM Outreach
• +7 more

Dr. Shawon S. M. Rahman is a tenured Professor in the Department of Computer Science and Engineering at the University of Hawaiʻi at Hilo (UH Hilo), a recognized Native Hawaiian, Pacific Islander, and Minority Serving Institution. He holds an adjunct faculty position in Cybersecurity at the University of Missouri-Kansas City (UMKC). He is currently a Faculty Applied Clean Energy Sciences (FACES) Fellow at the National Renewable Energy Laboratory (NREL), U.S. Department of Energy (DOE). With 18+ years of teaching experience, he has advised 15 Ph.D. graduates and contributed to numerous dissertation committees. He serves as Editor-in-Chief of the International Journal on Cryptography and Information Security (IJCIS) and reviews for over 15 conferences/journals. His roles include Chair of the Chancellor Access Committee, member of NSF Review Panels, and leadership in IEEE/ACM conferences. Dr. Rahman’s education includes a Ph.D. in Software Engineering from North Dakota State University, an M.S. in Computer Science (same institution), and a B.S. in Chemical Engineering from Bangladesh University of Engineering & Technology. His research focuses on Cybersecurity, Information Assurance, STEM Outreach, Digital Forensics, and IoT Security. He has secured grants from NSF, USDA, and DOE, and collaborates with schools to promote STEM education and Cybersecurity Career Pathways. His article trends emphasize IoT security, cybersecurity frameworks, and behavioral science in security practices. He actively addresses vulnerabilities in medical devices, cloud computing, and mobile applications. Professional affiliations include IEEE (senior member), ACM, ISACA, and ASEE. He advises the UH Hilo Robotics Club and chairs programs like Cybersecurity and Digital Forensics. Dr. Rahman’s service extends to Hawaii’s statewide science assessment program and initiatives like the Hawaii Statewide Assessment Program (HSAP). His work bridges academia and industry through applied research in clean energy sciences and cybersecurity innovations.

• Cyber Security
• Software Engineering
• Cloud Computing
• +4 more

Dr. Hussain Ahmad is an Assistant Professor (Lecturer) at the School of Computer and Mathematical Sciences, University of Adelaide, Australia. His research focuses on Cyber Security, Software Engineering, and Generative AI, with a particular emphasis on industry-driven innovation and real-world applications. He collaborates with prestigious institutions such as the Department of State Development South Australia, Defence Science and Technology Group Australia, and Cisco. Dr. Ahmad completed his PhD at the University of Adelaide, where he explored enhancing C2 network security, software vulnerability management, and scalable microservice architectures. He has led over 15 R&D projects, resulting in 12 peer-reviewed publications in top-tier venues like CORE A* and A-ranked conferences. His teaching philosophy integrates industry relevance, continuous feedback, and cutting-edge content, ensuring students gain practical skills aligned with modern IT demands. He advises students on research projects and maintains a strong focus on cloud-native systems, self-adaptive frameworks, and AI applications. Key contributions include frameworks like Smart HPA for resource-efficient auto-scaling and Co-Evolutionary Defence for Active Directory systems. His work bridges academia and industry, addressing challenges in cyber situational awareness, DevOps practices, and large-scale system resilience.

Victoria DegelerView profile

Assistant Professor

• Computer Science
• Artificial Intelligence
• Software Engineering
• +4 more

Victoria Degeler is an Assistant Professor at the University of Groningen’s Faculty of Science and Engineering, affiliated with the Bernoulli Institute. Her research focuses on AI-driven solutions for complex systems, combining expertise in artificial intelligence, software engineering, and service-oriented computing. She actively contributes to EU Horizon initiatives through her role in evaluating projects for the EC REA and EASME. Her work emphasizes real-world applications such as digital twins for infrastructure optimization, machine learning for IoT systems, and adaptive service architectures. Her research interests span digital twins in water distribution networks, quality-aware IoT processing, and machine learning methodologies. Notable projects include developing self-adaptive service selection frameworks and analyzing human activity recognition biases. She collaborates widely, evidenced by co-authored publications in top-tier conferences and journals.

• Artificial Intelligence
• Machine Learning
• Edge Computing
• +4 more

Sergio Moreschini is a Postdoctoral Researcher in Computing Sciences, focusing on Artificial Intelligence, Edge Computing, and MLOps. His research explores the integration of AI techniques in microservices, cloud-edge continuum systems, and distributed home automation frameworks. He has contributed to foundational studies such as a Systematic Mapping Study on AI in Microservices Life-Cycle and developed frameworks like Flexconnect for mobile computational offloading. Education: He holds a Bachelor of Science in Technology (2012) and a Higher-Degree in Computing from Università Degli Studi Roma Tre (2016). His work aligns with UN Sustainable Development Goal 4 (Quality Education) through contributions to educational tools and methodologies. Research Interests : Moreschini investigates AI lifecycle management, edge-cloud system orchestration, vulnerability analysis in open-source components, and generative AI applications in software architecture. Key areas include fault-tolerant distributed systems, cognitive cloud continuum frameworks, and MLOps tool ecosystems. Recent Trends in Publications : Recent work emphasizes MLOps adoption challenges, self-organizing edge computing for visual SLAM, and best practices in resource provisioning for cognitive systems. He has explored trade-offs between continuous training and transfer learning in edge environments, and evaluated vulnerability severity metrics in open-source software. Awards : Won the Best Paper Award in 2022 for contributions to industrial edge service scheduling. Data Contributions : Co-created datasets like RARE (cloud-native memory anomalies) and CIVIT (integral microscopy recordings). His collaborative projects include the 6GSoft initiative for edge-cloud continuum systems and the OSSARA tool for open-source component risk assessment. Active in international conferences like IoT and SEAA, he bridges academic research with industrial applications in edge computing and AI infrastructure.

Sai Shruthi ChivukulaView profile

Assistant Professor

• Human-Computer Interaction
• User Experience Design
• Ethics and Values in Design
• +7 more

Sai Shruthi Chivukula is an Assistant Professor at the School of Information, Pratt Institute, Manhattan, New York. She leads the Translate research group and is a core faculty member in the Master of Science in Information Experience Design program. Previously, she was a Visiting Assistant Professor at the Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington. Her academic journey includes a Ph.D. from Purdue University and a B.Des from IIT Guwahati. Education: Ph.D. in Technology / Ethics and Values in HCI Practice, Purdue University B.Des in UX Design (Minor: Mechanical Engineering), Indian Institute of Technology (IIT) Guwahati, India Her research lies at the intersection of Human-Computer Interaction, User Experience Design, Ethics and Values, and critical qualitative research. She conducts translational work to design, educate, develop, and disseminate ethics-focused supports for awareness, reflection, and action among technology and design practitioners. Her work emphasizes co-design, ethical mediation, dark patterns, and feminist perspectives in HCI. Her recent publications reflect a strong trend in developing methods and tools for ethical design practice, with a focus on scaffolding ethical deliberation, mapping ethical tensions, and creating computational and reflective tools for practitioners. The research spans qualitative and mixed methods, often involving co-creation with designers and developers. Scientific Awards and Honors: Faculty Innovation Fund, Pratt Institute (2024, 2025) Excellence in Teaching Award, Indiana University (2022–23) LAIDEL Faculty Fellow, Indiana University (2022) Best of CHI Honorable Mention (2019) Purdue Research Grant Fellowship ($50,000) Institute Merit Scholarship, IIT Guwahati She has advised and mentored students such as Shikha Mehta and Lavanya Subramanian. Her research has been supported by NSF grants during her time at Purdue. She actively contributes to academic service as a reviewer, track chair, and committee member for major conferences including CHI, DIS, and SIGCHI. Labs and Research Groups: Translate (2024–present): Her own research group focused on ethics in design practice. UXP2 Lab : Formerly worked as a Research Assistant under Dr. Colin M. Gray at Purdue University.

• Inclusive Design
• Ergonomics
• Human Factors
• +7 more

Professor Patrick Langdon serves as Director of the Transport Research Institute at Edinburgh Napier University's School of Computing Engineering and the Built Environment (SEBE). He holds the position of Professor of Engineering Design, Transportation, and Inclusion and leads Ethics and Integrity initiatives for both SEBE and the School of Computing. With over 20 years of experience as an Experimental Psychologist, Langdon has established himself as a leading researcher at the intersection of cognitive science, artificial intelligence, and transportation engineering. Langdon's research spans multiple interconnected domains focused on human-centered design in transportation systems. His work centers on inclusive design principles for autonomous vehicle interfaces, human-machine interaction in complex environments, and the application of cognitive science to transportation challenges. Key research themes include designing for diverse user populations, predicting driver intent using Bayesian methods, enhancing situation awareness in multitasking scenarios, and developing ethical frameworks for human participation in technology research. His multidisciplinary approach bridges engineering, psychology, and computer science to address real-world transportation challenges. Analysis of Langdon's publication record reveals a consistent focus on human factors in automated transportation systems, with increasing emphasis on sustainable and inclusive mobility solutions. His work shows progression from foundational research in inclusive design to cutting-edge applications in autonomous vehicles and hydrogen-electric aviation. The publications demonstrate strong methodological diversity, incorporating experimental studies, theoretical frameworks, and real-world implementation projects that address both technical and social dimensions of transportation technology adoption. Langdon's research activities are supported by significant funding from diverse sources including Innovate UK, Engineering and Physical Sciences Research Council, European Commission, and industry partners. His leadership extends to major collaborative projects such as the HEART (Hydrogen Electric and Automated Regional Transportation) initiative, CAVForth automated bus service expansion, and research on inclusive kerb design for urban environments. These projects demonstrate his ability to translate theoretical research into practical transportation solutions with real-world impact. As Director of the Transport Research Institute, Langdon oversees a multidisciplinary team working at the forefront of transportation innovation. His research group focuses on the integration of cognitive science, artificial intelligence, and engineering design to create transportation systems that accommodate diverse user needs while advancing sustainable mobility solutions. The institute serves as a hub for collaboration between academia, industry, and government agencies working to shape the future of transportation.

• Machine Learning
• Telecommunications Engineering
• Cloud Computing
• +5 more

Gabriela Eleutério Soares is a researcher affiliated with Universidade Lusófona, focusing on telecommunications engineering, machine learning, and cloud computing. Her work bridges network optimization and interdisciplinary applications in biomedical signal processing and neuroscience. Education: PhD in Computer Science, Master’s in Mathematical and Computational Modeling, Bachelor’s in Computational Mathematics Her research explores: Cloud-based cellular network planning systems using linear programming and SON (Self-Organizing Networks) Automated coverage estimation methodologies for wireless networks Machine learning applications in traffic prediction and biomedical diagnostics Neuroscience-inspired models for spiking neuron synchronization via genetic algorithms Recent publications highlight trends in: Cloud computing integration with mobile networks Hybrid systems combining propagation models and empirical data Low-cost diagnostic tools using SERS and AI Historical development of bio-inspired network optimization

Ricardo Gregorio LugoView profile

Associate Professor

• Cybersecurity
• Psychology
• Behavioral Science
• +4 more

Ricardo Gregorio Lugo is an Associate Professor at the Department of Welfare, Management and Organisation at Oslo Metropolitan University. His research focuses on behavioral aspects of cyber defense operations, human factors in cybersecurity, and cognitive engineering. He holds a PhD in Psychology from Johannes Gutenberg University Mainz (2018), a Master’s in Philosophy from the University of Oslo (2009), and a Bachelor’s in Family and Developmental Psychology from Lillehammer University College (2007). Dr. Lugo collaborates with institutions globally, including NTNU Gjøvik, Tallinn University of Technology, and Vilnius University. His work bridges cybersecurity with psychology, exploring decision-making under pressure, stress in caregiving contexts, and the application of technology in education and healthcare. He has published extensively on cyber threat identification, workforce training, and AI security. His research emphasizes interdisciplinary approaches, using experimental methods to study human behavior in cyber defense exercises. He also contributes to projects like ACDICOM, advancing human performance in cybersecurity. Despite no listed awards, his work has been published in journals like Journal of Cases on Information Technology and Frontiers in Computer Science . Dr. Lugo’s research interests span cybersecurity, behavioral science, and health psychology, with a focus on applying psychological principles to improve cyber defense strategies. He has advised on numerous projects and co-authored over 30 publications. His collaborations include national and international institutions, emphasizing practical applications of research in real-world scenarios.

Flora SalimView profile

Professor

• Ubiquitous computing
• Machine learning
• Data science
• +6 more

Professor Flora Salim is a leading academic at the University of New South Wales (UNSW) Sydney, holding a full Professorship in the School of Computer Science and Engineering. She serves as Deputy Director (Engagement) of the UNSW AI Institute and contributes to multidisciplinary research at the intersection of ubiquitous computing, machine learning, and data science. Human-centred AI and ethical systems Spatio-temporal data modeling Applications for climate resilience and urban mobility Her research focuses on multimodal foundation models, continual learning, and responsible AI deployment in real-world environments. She explores: Time-series and sensor data analysis Wearable and environmental sensing AI for sustainable infrastructure Robustness and trustworthiness in models Recent publications highlight her work on: Transformer-based climate downscaling Cross-modal fairness in mobility Privacy-preserving spatio-temporal generation Patient similarity networks in healthcare She has received multiple competitive fellowships including: Humboldt Fellowship Bayer Fellowship Victoria Fellowship ARC Australian Postdoctoral Industry (APDI) Fellowship Additional accolades include: Women in AI Award Australia and New Zealand (2022) IBM Smarter Planet Industry Innovation Award As Chief Investigator in: ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) ARC Training Centre for Whole Life Design for Carbon Neutral Infrastructure She maintains active collaborations through: Associate position at ELLIS Alicante Visiting Professor roles at University of Kassel (2019-2020) and University of Cambridge (2019) Editorial board memberships in ACM TIST, IEEE Pervasive Computing, and Nature Scientific Data

George KousiourisView profile

Associate Professor

• Cloud Computing
• IoT Platforms
• Performance Engineering
• +5 more

George Kousiouris is an Associate Professor at the Department of Informatics and Telematics , Harokopio University of Athens . He holds a Ph.D. in Cloud Computing from the National Technical University of Athens (2012) and a Dipl. Eng. in Electrical and Computer Engineering from the University of Patras (2005). His research focuses on Cloud Platforms , Serverless Computing (FaaS) , IoT Infrastructure , and Performance Engineering . He has led major EU-funded projects such as H2020 PHYSICS (lead architect), BigDataStack , and CloudPerfect , contributing to cloud service benchmarking, FaaS frameworks, and edge-cloud collaboration. His work emphasizes practical applications in healthcare, smart agriculture, and urban network analysis. Over 70 publications highlight his expertise in cloud resource optimization , service-level agreements , and data-driven infrastructure management . His recent work explores sustainable computing , human-AI collaboration , and conversational AI for MLOps . Key Projects: PHYSICS, BigDataStack, CloudPerfect, SLALOM, COSMOS Research Highlights: FaaS performance benchmarking, IoT event processing, hybrid-cloud workflows Awards/Grants: Multiple EU H2020 and FP7 project leadership roles He advises on cloud migration methodologies (e.g., ARTIST framework) and contributes to regulatory compliance frameworks like GDPR via semantic ontologies.