Find Academic Supervisors

Rachel HorstView profile

Lecturer

• Digital Literacy
• Educational Technology
• Futures Literacies
• +3 more

Rachel Horst is a Lecturer in the Master of Educational Technology (MET) program at the University of British Columbia (UBC), Faculty of Education, Department of Language and Literacy Education. She holds a PhD in Language and Literacy Education from UBC, informed by a decade of secondary teaching experience. PhD in Language and Literacy Education (UBC) Her research explores digital arts-based methods, futures literacies pedagogy, and critical (post)digital literacies through posthumanist and generative AI frameworks. She focuses on ethical technology design, participatory AI systems, and environmental responsibility in digital tools, aiming to reimagine technology's role in education. Rachel teaches courses ETEC 531, ETEC 565H, ETEC 530, and ETEC 565C. Her work emphasizes values-based experimentation, accessibility, and care in educational technology, inviting educators to prototype alternatives that foreground consent and collaborative knowledge creation. She maintains a personal portfolio website ( www.rachelhorst.ca ) and is active on LinkedIn, engaging in public discourse about AI literacy and futures imaginaries. Her research integrates Donna Haraway's theories to challenge conventional technology narratives.

Gerold A WillingView profile

Associate Professor

• Colloidal Science
• Complex Fluids
• Nanoparticle Systems
• +3 more

Gerold A. Willing serves as an Associate Professor in the Chemical Engineering Department at the University of Louisville's College of Engineering. His research focuses on fundamental colloidal science with applications in complex fluid systems, particularly examining interactions between particles of different sizes under various conditions including microgravity environments. Dr. Willing received his B.E. in Chemical Engineering from the University of Wisconsin-Madison in 1993 and completed his Ph.D. in Chemical Engineering from Auburn University in 2001. Prior to joining the University of Louisville, he spent three years as a Postdoctoral Research Associate at Argonne National Laboratory. Dr. Willing's research expertise centers on colloidal stability, complex fluid systems, and nanoparticle interactions. He is recognized as the first researcher to directly measure interaction forces in complex fluids with bimodal particle size distributions using Atomic Force Microscopy. His work spans both fundamental research in colloidal science and applied research with implications for industrial applications including paints, ceramics, pharmaceuticals, and personal care products. His microgravity research conducted aboard the International Space Station through NASA's Advanced Colloids Experiments program has provided new insights into particle agglomeration behavior in the absence of gravitational effects. Analysis of Dr. Willing's recent publications reveals a dual research focus: fundamental investigations into colloidal phenomena (particularly bimodal colloidal systems, nanoparticle haloing, and interfacial forces) and engineering education research examining student identity development in chemical engineering programs. His technical work demonstrates expertise in experimental methods including Atomic Force Microscopy, image analysis of colloidal systems, and microgravity experimentation, while his education research employs qualitative and quantitative methods to understand student transitions through engineering programs. Dr. Willing has advised graduate students including Adam J. Cecil, whose doctoral research focused on image analysis of charged bimodal colloidal systems in microgravity. His laboratory work appears to involve collaborations with mechanical engineering colleagues at the University of Louisville, particularly on microgravity experiments conducted through NASA programs. Dr. Willing has developed specialized image analysis software (Colloidspy) for analyzing colloidal systems, demonstrating his interdisciplinary approach combining chemical engineering principles with computational methods.

Christopher ToepferView profile

Associate Professor

• Cardiovascular Science
• Cardiology
• Genetic Disorders
• +3 more

Christopher Toepfer is an Associate Professor of Cardiovascular Science at the University of Oxford , focusing on inherited and acquired heart diseases within the Medical & Health domain. His work bridges molecular mechanisms with therapeutic applications in cardiomyopathies. Research spans hypertrophic cardiomyopathy , sarcomere biology , and genetic disorder therapies Develops hiPSC-based models and automated analysis tools (CalTrack, SarcTrack) Investigates protein dysregulation , metabolic pathways , and CRISPR/Cas9 applications His recent publications highlight advancements in ALPK3 truncation therapies , titin enhancer function , and EGFR-mediated stromal activation in cardiomyopathies. He explores myosin dynamics , calcium signaling , and hypoxia-inducible factor roles using innovative imaging and genetic techniques. Current trends in his work include precision medicine approaches for sarcomere-related diseases, cross-species muscle physiology comparisons, and non-linear optical microscopy applications for cardiovascular diagnostics.

• Developmental Psychology
• Cognitive Development
• Social and Emotional Development
• +6 more

Gustaf Gredebäck is a Professor at the Department of Psychology , Uppsala University , specializing in Developmental Psychology . His research investigates how infants' and children's cognitive, social, and emotional development is shaped by personal exploration, adverse environments (war, mental health challenges), cultural contexts, and early educational settings. Research Interests: Cognitive development, social cognition, emotional processing, executive functions, and the impact of sociocultural/political contexts on child development Methodologies: Eye tracking, pupillometry, experimental paradigms, and cross-cultural comparisons Key Collaborations: International studies in Bhutan, Syria, and Sweden; partnerships with autism research groups Recent Research Trends: Analysis of urbanization's developmental effects, methodological rigor in infancy research, gaze-following as a social cognition marker, and maternal mental health impacts on refugee children. His 2025 articles explore expertise acquisition through play and cross-cultural gaze stability. Scientific Contributions: Holds a significant grant from the Knut and Alice Wallenberg Foundation (2015) and has developed innovative tools like TimeStudio for behavioral research workflows.

Osman DarcanView profile

Associate Professor

• Programming Techniques
• Object Oriented System Development
• Simulation
• +2 more

Osman Darcan is an Associate Professor at Bogazici University in Istanbul, Turkey, with a verified institutional email osman.darcan@boun.edu.tr. His academic career spans over two decades with consistent research output in computational fields. Education Background: Undergraduate: Boğazici University, Computer Engineering Masters: Boğaziçi University, Computer Engineering Ph.D.: Boğaziçi University, Industrial Engineering His research focuses on practical applications of computational techniques across multiple domains. Darcan's work in Programming Techniques emphasizes object-oriented development frameworks and visualization tools for educational purposes. His Simulation research includes distributed systems and load balancing algorithms, while Artificial Intelligence applications target data mining for student profiling and e-commerce. The E-Learning strand features innovative tools for linear programming, geometric problem-solving, and programming education, demonstrating a strong commitment to pedagogical innovation through technology. Publication trends (2000-2012) reveal an evolution from foundational work in distributed simulation (2000-2006) toward applied data mining in education and e-commerce (2009-2012). His research consistently bridges theoretical computer science with practical educational and business applications, particularly in cluster analysis for student performance and agent-based modeling for market simulations. No scientific awards were documented in the source material. While specific advising records and grant details weren't provided, Darcan's publication pattern indicates supervision of students in data mining and simulation projects. His international conference presence (IBIMA, PICMET, World Conference on E-Learning) suggests active participation in global academic networks. The absence of lab/team mentions implies independent or small-group research operations focused on software tool development.

Gianluca SchiavoView profile

Researcher

• Human-Computer Interaction
• Gamification
• Educational Technology
• +4 more

Gianluca Schiavo is a Researcher at the i3 unit of Fondazione Bruno Kessler in Trento, Italy. His work intersects Human-Computer Interaction (HCI), educational technology, and gamification, with a focus on designing digital interventions for social challenges. He specializes in creating platforms addressing child safety, gender-based violence prevention, and inclusive AI education. Schiavo's research explores: Gamification strategies for sensitive topics like child protection and gender-based violence AI-driven educational tools for K-12 curriculum development Collaborative digital storytelling for conflict resolution and migrant self-expression Playful learning interfaces promoting sustainability and behavioral change His 31 publications (2011-2025) show strong trends in: Applying gamification to social issues (45% of recent work) Developing educational technologies for marginalized groups Designing evaluation frameworks for sensitive HCI applications Schiavo leads projects such as Cesagram (child protection platform) and StandByMe (gender-violence awareness tool), emphasizing co-design with stakeholders. He collaborates extensively with FBK colleagues and University of Trento researchers across 18+ joint publications.

Nitish ChooramunView profile

Senior Lecturer

• Intelligent Systems
• Multi-Agent Systems
• Machine Learning
• +7 more

Dr Nitish Chooramun serves as a Senior Lecturer in the Department of Computer Science and Digital Technologies within the School of Architecture, Computing and Engineering at the University of East London. With extensive industry and academic experience, he teaches core computing modules across undergraduate and postgraduate programs while supervising numerous student projects and MPhil/PhD candidates. His research centers on Intelligent Systems with specialized focus on Multi-Agent Systems for evacuation dynamics modeling, pedestrian behavior simulation, and Internet of Things applications. He develops algorithms for representing movement in complex environments, bridging theoretical AI with practical safety solutions. His work spans Machine Learning, Deep Learning, and real-world implementations in urban planning and emergency response scenarios. Recent publications demonstrate strong interdisciplinary trends applying AI to diverse domains: Natural Language Processing for low-resource language translation, Affective Computing for emotion-aware e-commerce and music recommendation systems, Mobile Health interface design for elderly users, and Federated Learning for critical infrastructure security. These works consistently address practical societal challenges through computational intelligence. Dr Chooramun actively supervises postgraduate research students and has secured participation in multiple funded projects including European Union initiatives. His teaching portfolio encompasses foundational and advanced computing modules such as Software Development, Web Technologies, Data Structures, and Mobile Application Development across BSc Computer Science and specialized degree pathways.

Juan A. Recio GarcíaView profile

Associate Professor

• Case-Based Reasoning (CBR)
• Explainable Artificial Intelligence (XAI)
• Recommender Systems
• +3 more

Dr. Juan A. Recio García is an Associate Professor at the Department of Software Engineering and Artificial Intelligence within the School of Computer Science at Complutense University of Madrid (UCM) . He holds the BOSCH-UCM Honorary Chair on Artificial Intelligence applied to Internet of Things . His research focuses on Case-Based Reasoning (CBR) , Explainable AI (XAI) , and Recommender Systems , with applications in healthcare, security, and urban planning. He has led two projects as Principal Investigator and participated in six R&D initiatives, including four national and two European grants. His work includes the development of the COLIBRI platform , a CBR system with over 35,000 downloads. He has co-authored 67 publications, including 16 JCR-indexed articles, and received a best paper award and an honourable mention from the International Conference on CBR (ICCBR). Scientific Awards: Best Paper Award ICCBR Honorable Mention His projects include AUDITIA-X (Auditing AI via Explainability), iSee (Personalized Explanation Experiences), and PERXAI (Personalized XAI). He collaborates internationally, including at Robert Gordon University (UK) and University College Cork (Ireland).

Jonathan M. AitkenView profile

Senior Lecturer

• Autonomous robotics
• Computer vision
• Spatial awareness in robotic systems
• +4 more

Dr. Jonathan M. Aitken is a Senior Lecturer in Robotics at the University of Sheffield's School of Electrical and Electronic Engineering. Previously a Research Fellow at the Autonomous Control Laboratory (ACSE), his work focuses on autonomous robotic systems with emphasis on quadcopters, computer vision, spatial awareness, and multi-robot collaboration. Expert in safe autonomous drone deployment Specializes in collaborative robotics (cobots) Qualified UK commercial drone pilot Research spans: Autonomous reconfiguration of robotic systems Dynamic risk assessment for systems-of-systems Visual SLAM for feature-sparse environments Formal verification of UAS systems Human-robot co-working interfaces Recent publications examine: Robust localization in sewer pipes Visual saliency algorithms for mobile robots Cobotic safety controller synthesis Modular digital twinning frameworks Spatial awareness for multi-robot teams Major grants include EPSRC Programme Grants for buried pipe sensing and Lloyds Registry Foundation funding for cobot safety integration.

Sarah KönigView profile

Professor

• Medical Education
• Technology Enhanced Learning
• Competency Assessment
• +5 more

Professor Sarah König serves as Head of the Institute for Medical Education and Training Research at University Hospital Würzburg, Julius-Maximilians-University Würzburg, and has been Dean of Studies for the Faculty of Medicine since 2019. She holds a W3 professorship in medical education awarded in 2016 and also serves as Head of the Study Commission and Strategy Commission for Curriculum Development in Human Medicine. Her leadership extends to the Presidential Commission for Quality in Studies and Teaching at the university and the Teaching Committee of the Medical Faculty Association. Her research interests center on technology-enhanced medical education with particular focus on virtual reality applications, competency assessment methodologies, and interprofessional communication. She investigates how digital teaching formats can improve learning outcomes and how to effectively measure competency development in medical students and residents. Her work bridges clinical expertise with educational innovation, drawing on her background as a Specialist in Surgery and Specialist in Visceral Surgery. Analysis of her recent publications reveals a strong emphasis on virtual reality applications across medical education domains including surgical training, emergency medicine, and specialized fields like otorhinolaryngology and radiology. Her research consistently examines how technology impacts knowledge acquisition, skill development, and stress responses in medical learners. She also investigates broader educational themes including planetary health education, career choice determinants among medical students, and faculty development initiatives. Professor König serves on numerous prestigious committees including the Scientific Advisory Board of the Medical University of Vienna and the jury for the Ars legendi Prize of the Medical Faculty Day. She reviews for leading journals including PLOS ONE, BMC Medical Education, and Journal of Surgical Education, and participates in accreditation activities through AQAS and ACQUIN. She actively mentors young academics and conducts workshops for clinical educators across German universities. Her additional activities include serving as Vice-Chairwoman of the Surgical Teaching Working Group, participating in the 'Round Table Medicine/Health Sciences' of the German Rectors' Conference, and contributing to the development of national medical education standards.

• Live Coding
• Electronic Music
• Media Arts
• +7 more

David Ogborn is a Professor in McMaster University’s Department of Communication Studies and Media Arts within the Faculty of Humanities. He coordinates the Networked Imagination Laboratory (NIL) and teaches across undergraduate and graduate programs including Media Arts, Communication and New Media, and PhD in Communication, New Media, and Cultural Studies. His work bridges computational arts, live coding, and interdisciplinary research. Education: Not explicitly mentioned Current Appointments: Professor at McMaster University Research focuses on live coding environments, networked musical ensembles, and computational creativity. He has developed platforms like Estuary (collaborative live coding), Seis8s (localized computer-music language), and EspGrid (synchronization protocol). His interests include improvisation in digital settings and software as artistic medium. Recent scholarly activity spans 2012-2022, covering live coding pedagogy, collaborative platforms, and networked music systems. He has secured SSHRC Insight grants and Canada Foundation for Innovation support for NIL. Teaching includes digital audio, game design, and doctoral seminars. The Cybernetic Orchestra (laptop ensemble) remains active since 2010 with global collaborations. Professional contributions include multiple software tools (Estuary, NIL, EspGrid), international performances at live coding festivals, and publications in journals like Computer Music Journal and Journal of Music, Technology and Education . No scientific awards are mentioned in available records.

• Musculoskeletal Disorders
• Neck and Back Pain
• Clinical Decision Support Systems
• +6 more

Ingebrigt Meisingset is a senior researcher at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Public Health and Nursing under the Faculty of Medicine and Health Sciences. His work centers on musculoskeletal disorders in primary care, including neck, shoulder, and lower back pain, with a focus on prognostic factors, patient subgroups, and digital clinical decision support systems powered by artificial intelligence. Additional research areas include clinical effectiveness studies and interventions for insomnia in primary care settings. Education: 2008-2010: MSc in Exercise Physiology and Sport Science, NTNU 2004-2007: BSc in Physiotherapy, HIST Current Positions: Researcher, NTNU (2020-) Postdoctoral Researcher, NTNU (2016-2020) His recent projects include: SUPPORTPRIM: Developing AI-driven clinical decision support systems for physiotherapists and general practitioners. DigiSøvn: Evaluating digital sleep apps for musculoskeletal pain patients. Non-pharmacological Sleep Interventions: Testing the "Sov godt" course for insomnia in primary care. His publications highlight trends in clinical decision support systems, musculoskeletal pain stratification, and the intersection of sleep disorders and chronic pain. Articles often employ case-based reasoning, randomized trials, and longitudinal studies to improve treatment personalization and effectiveness in primary care.

Clemens BrackmannView profile

Researcher

• Machine Learning
• Artificial Intelligence
• Retail Technology
• +3 more

Clemens Brackmann is a Researcher at the University of Duisburg-Essen, affiliated with the Faculty of Computer Science and the Human-Computer Interactions working group. His work spans machine learning integration in retail and software development. Education: M.Sc. in Applied Computer Science (2017–2021) from Ruhr University Bochum, B.Sc. in Applied Computer Science (2014–2017) from University of Duisburg-Essen. His research focuses on artificial intelligence applications in retail , particularly pricing algorithms and decision-making frameworks. He has contributed to understanding how machine learning shapes both brick-and-mortar and e-commerce environments through theoretical taxonomies and empirical studies. Recent publications highlight trends in AI-driven pricing strategies and ML adoption in retail processes . He has supervised bachelor's theses on topics like customer service chatbots, visual product search AI, and trust in medical AI systems. Contact: clemens.brackmann@icb.uni-due.de

Rachid HamadiView profile

Senior Lecturer

• Formal Methods for Software
• Data and Information Privacy
• Distributed Computing and Systems Software
• +8 more

Dr Rachid Hamadi is a Senior Lecturer at the School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW). He holds a Ph.D. in Computer Science and Engineering from UNSW, alongside a M.Sc. and a B.Sc. (with Honours) in Computer Science from the University of Science and Technology Houari Boumediene (USTHB), Algeria. Prior to joining UNSW, he served as a Lecturer at Federation University, Victoria University, University of New England, Central Queensland University, and USTHB. Education Ph.D. in Computer Science and Engineering (UNSW) M.Sc. in Computer Science (USTHB, Algeria) B.Sc. (with Honours) in Computer Science (USTHB, Algeria) Research Interests His research focuses on formal modeling of business processes, exception handling, analysis and verification, and service-oriented computing. His work integrates formal methods such as Petri nets to address challenges in business process management, privacy preservation in web services, and dynamic workflow systems. Publications include significant contributions to international journals and conferences. Teaching Dr Hamadi teaches Programming, Databases, Web Technologies, Software Engineering, and Capstone Projects at UNSW. Professional Memberships Association for Computing Machinery (ACM) Institute of Electrical and Electronics Engineers (IEEE) Higher Education Research and Development Society of Australasia (HERDSA)

David F. MeaneyView profile

Professor

• Traumatic Brain Injury
• Concussion
• Neural Network Modeling
• +6 more

David F. Meaney is Professor and Solomon R. Pollack Professor in the Department of Bioengineering at the University of Pennsylvania's School of Engineering and Applied Science, where he serves as Vice Provost for Research. He directs the Molecular Neuroengineering Lab for Traumatic Brain Injury, focusing on concussion pathophysiology through integrated in vivo , in vitro , and in silico approaches. His research spans traumatic brain injury mechanisms, neural network dynamics, and biomarker discovery, with particular emphasis on concussion heterogeneity, preconditioning effects, and network theory applications. His work leverages diverse methodologies including mouse models, neuronal cultures, computational simulations, and extracellular vesicle analysis to bridge cellular changes with whole-brain functional outcomes. Analysis of his 15 most recent publications reveals dominant themes in personalized brain injury modeling (32%), neuroimmune interactions (24%), computational network analysis (20%), and biomarker development (16%), with increasing focus on sex-specific responses and dietary influences in recent work. His lab has developed specialized software tools including FluoroSNNAP for calcium imaging analysis and Autotyping for behavioral phenotyping. Recipient of endowed Solomon R. Pollack Professorship Active principal investigator with continuous NIH funding Developed computational frameworks linking biomechanics to functional outcomes Key contributor to CONNECT-TBI neuropathology consortium His mentoring includes multiple PhD candidates and research specialists, with collaborative projects spanning neuroscience, bioengineering, and clinical neurology. Current recruitment focuses on postdocs and PhD students with expertise in in vivo models, molecular techniques, and computational neuroscience.