Find Academic Supervisors

Albrecht SchmidtView profile

Professor

• Human-Computer Interaction
• Ubiquitous Computing
• Media Technology
• +5 more

Prof. Albrecht Schmidt holds the Chair of Human-Centered Ubiquitous Media at Ludwig Maximilian University of Munich (LMU), part of the Faculty of Mathematics, Informatics and Statistics. His academic career spans roles at leading institutions including the University of Stuttgart, University of Duisburg-Essen, and Bonn University. He specializes in human-computer interaction, focusing on enhancing human capabilities through digital technologies. His research bridges cognitive science, AI, and ubiquitous computing, with notable projects on AR/VR interfaces, robot interaction, and smart home privacy solutions. Education: PhD in Computer Science (Lancaster University, 2003), Diplom in Informatik (University of Ulm, 1999). Recognized as a Leopoldina member (2020) and ACM SIGCHI Academy member (2018). Research interests include AI-driven human augmentation, privacy-aware smart systems, and ethical implications of generative AI. Key projects include ERC-funded AMPLIFY (2016) exploring perception enhancement, DFG's SFB-TRR161 on visual computing, and EU's HumaneAI on human-centric AI. Publications span over 600 works in top venues like CHI, UbiComp, and IEEE Pervasive Computing. Current initiatives focus on LLM integration in HCI, tangible privacy controls, and AI bias mitigation in data annotation.

• Smart Grids
• Power System Operational Planning
• Renewable Energy Integration
• +7 more

Vincent Debusschere is an Associate Professor at the Grenoble Institute of Technology, working within the National School of Energy, Water and Environment (ENSE 3 ) and the Grenoble Electrical Engineering Laboratory (G2Elab). He has been with the institution since 2010 and is a member of the SYREL research team. His current responsibilities include serving as co-coordinator of the international master's degree in Electrical Engineering for Smart Grid and Buildings, head of international relations for the Energy Systems and Markets department, and member of the scientific committee of the national JCGE conference since 2013. Dr. Debusschere's research focuses on integrating renewable energies into power systems, with particular emphasis on maximizing grid capacity for variable renewables while ensuring operational stability. His work spans multiple dimensions: residential and tertiary flexibility estimation and control, renewable production management through storage systems, operational planning of distribution grids under uncertainty, microgrid stability in isolated environments, and long-term energy system prospective modeling. His research combines technical, economic, environmental, and societal criteria to address the challenges of sustainable energy transition. His publication record shows a clear evolution toward energy communities, storage market participation, and advanced control strategies for grid-forming converters. Recent work increasingly focuses on the intersection of machine learning techniques with power system operation, particularly for voltage control under uncertainty and distributed resource management. His research maintains strong connections between theoretical developments and practical applications through numerous industrial collaborations. Dr. Debusschere has directed or co-directed more than 10 PhD theses (5 completed, 6 ongoing) and maintains active research collaborations with institutions worldwide including NTU Singapore, University of Oulu (Finland), Institute Teknologi Bandung (Indonesia), and Danang University (Vietnam), as well as French institutions like LIG, GIPSA, CEA, and GAEL. He manages three industrial research contracts with partners including ENEDIS, Schneider Electric, and ITE Supergrid. Based at the G2Elab in the GreEn-ER Building in Grenoble, Dr. Debusschere leads research activities within the SYREL team, focusing on experimental validation of regulation methods for smart grids and the application of artificial intelligence to grid operation. His laboratory work particularly emphasizes the stability of microgrids with low inertia and the development of virtual synchronous generator solutions.

Xinrui CuiView profile

Assistant Professor

• Computer Vision
• Computer Graphics
• Neural Rendering
• +4 more

Xinrui Cui serves as an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas, conducting research at the intersection of Computer Vision, Computer Graphics, and Artificial Intelligence to develop transparent, controllable AI systems that enhance human-environment interaction. Research focuses on Neural Rendering , 3D Reconstruction , Generative Models , and Explainable AI , with emphasis on creating AI that balances environmental understanding with user trust. Current work advances techniques for novel view synthesis, hierarchical model interpretation, and transformer-based 3D scene reconstruction while maintaining system transparency. Publication analysis (2013-2023) reveals a clear research evolution: early work (2015-2017) centered on hyperspectral imagery and electromagnetic materials science, while recent publications (2019-2023) demonstrate concentrated expertise in interpretable deep learning for visual computing, neural radiance fields, and medical AI applications. Dr. Cui actively recruits PhD and Master's students for research positions, seeking motivated candidates to contribute to cutting-edge projects in neural rendering, 3D vision, and explainable AI systems. Prospective students are encouraged to contact directly regarding research opportunities in the UNT Computer Science research group.

• Clinical Psychology
• Emotion Dysregulation
• Suicidal Behavior
• +5 more

Edward Selby is a Professor of Clinical Psychology at Rutgers University, leading the Emotion and Psychopathology (EmP) Lab. His expertise focuses on emotion dysregulation mechanisms underlying suicidal/self-injurious behaviors, borderline personality disorder (BPD), and eating disorders like anorexia nervosa and bulimia. He developed the Emotional Cascade Model explaining how repetitive rumination creates aversive emotional states that drive self-sabotaging behaviors. His work also includes the Positive Emotion Amplification Model for anorexia nervosa and smartphone-based interventions for mental health disorders. Dr. Selby earned his Ph.D. from Florida State University (2011) and completed residency at Brown University. He has published over 30 peer-reviewed articles and received prestigious awards including the NIH NRSA and ABCT's Neil S. Jacobson Award. His research integrates experimental methods, experience sampling, and dynamic systems modeling to understand psychopathology. Key contributions include linking BPD symptoms to emotional cascades via Bayesian networks and investigating suicide risk factors among sexual minorities. The EmP Lab develops digital tools for emotion regulation, aiming to create widely accessible treatments. Current projects focus on smartphone apps targeting BPD and eating disorders, leveraging real-time ecological momentary assessment data.

Guillaume PirotView profile

Research Fellow

• Subsurface Characterization
• Spatial Statistics
• Bayesian Inference
• +4 more

Guillaume Pirot is a Research Fellow at the School of Earth and Oceans, University of Western Australia. He specializes in subsurface characterization, spatial statistics, and Bayesian inference, with a focus on uncertainty quantification in geological models. His work integrates geophysical data inversion and computational methods to address challenges in hydrogeology and resource exploration. Currently, he co-coordinates Work Package 5 of the Loop project, focusing on uncertainty management in multi-disciplinary modeling frameworks. Education: PhD in Hydrogeology (University of Neuchâtel, 2015), focusing on stochastic heterogeneity modeling of braided river aquifers. Prior experience includes 7 years as an IT consultant in retail before transitioning to academia. Research interests span 3D geological modeling, spatial statistics, Bayesian inversion, and the rigorous treatment of uncertainty across data acquisition to predictive modeling. His contributions include open-source tools like dh2loop and Blockworlds for geological data processing and uncertainty quantification. Scientific awards include the MinEx CRC 2022-2023 Publication Prize and Prix Adrien Guebhard-Severine (2015). He collaborates extensively on projects involving geophysical integration, probabilistic inversion, and multi-disciplinary modeling platforms like Loop. Advising and grants: Co-supervises PhD students within the Loop project framework. Involved in grants such as the ARC-funded Loop 3D Linkage-2 project (2023-2026). His work emphasizes translational research bridging computational methods with practical geological exploration challenges. Labs/Teams: Active contributor to the Loop project team, developing tools for uncertainty-aware geological modeling. Collaborates with interdisciplinary groups in geophysics, hydrology, and computational science.

Özlem Canan GüngörenView profile

Associate Professor

• Educational Technologies
• Instructional Design
• Digital Literacy
• +17 more

Assoc. Prof. Dr. Özlem Canan Güngören is a faculty member at Sakarya University , affiliated with the Faculty of Education and the Department of Educational Sciences . She is actively involved in teaching, research, and academic service, with a focus on educational technologies, instructional design, and teacher education. Her research spans digital literacy, adaptive learning, flipped classroom models, and technology integration in education. University: Sakarya University School: Faculty of Education Department: Department of Educational Sciences Contact: ocanan@sakarya.edu.tr Her research interests are deeply rooted in educational technologies , digital literacy , lifelong learning , and adaptive learning environments . She investigates how technology influences student motivation, academic achievement, and cognitive absorption, particularly in online and blended learning contexts. Her work also explores preservice teachers' readiness for technology integration, their occupational anxiety, and their lifelong learning tendencies. The analysis of her recent publications reveals a strong trend in empirical educational research using quantitative methods such as structural equation modeling and validity-reliability studies. Her articles often focus on scale development , technology acceptance , and digital behavior among students and teachers. Topics like flipped classroom , cognitive absorption , social networking literacy , and adaptive web environments are recurrent themes in her scholarly output. Scientific Contributions: Extensive research on digital literacy and technology use in education Development and validation of educational scales Studies on flipped classroom and adaptive learning models Analysis of graduate theses in educational technology Investigations into social media use and addiction among students She has been involved in multiple research projects, including those supported by TÜBİTAK and Sakarya University. She teaches courses such as Research Methods , Teaching Practice , Adaptive Technological Systems in Education , and Scientific Research Techniques . She also contributes to academic service through editorial and peer-review roles for journals like Sakarya University Journal of Education . She is affiliated with research teams and projects focusing on innovative teaching models , authentic learning environments , and teacher training in technology integration . Her work continues to influence both theoretical and practical aspects of educational technology in higher education.

• Health Informatics
• Smoking Cessation
• Behavioral Science
• +5 more

Dr. Thomas K Houston is an Adjunct Professor at UMass Chan Medical School in the Department of Population and Quantitative Health Sciences. He holds dual appointments within the T.H. Chan School of Medicine (Division of Health Informatics And Implementation Science) and UMass Chan Programs, Centers and Institutes (Department of Bioinformatics and Integrative Biology). His research program focuses on the intersection of health informatics, communication, and behavioral science, with particular emphasis on developing and evaluating digital health interventions for smoking cessation and chronic disease management. Dr. Houston received his BS in Biology from Wake Forest University and his MD from Bowman Gray School of Medicine, both in Winston-Salem, NC. His academic trajectory has positioned him as a leading researcher in health informatics, with a focus on leveraging technology to improve health outcomes and reduce disparities. Dr. Houston's research primarily centers on developing innovative digital health solutions including web-based platforms, mobile applications, and machine learning algorithms to personalize health interventions. His work spans multiple domains including public health, medical informatics, and behavioral science, with a particular focus on: Smoking cessation interventions using digital platforms Machine learning applications for personalized health messaging Implementation science for health technology adoption Health communication and patient engagement Addressing the digital divide in healthcare Global health applications of mHealth technologies His publication record shows consistent productivity with over 50 publications spanning from 1998 to 2025, with particular emphasis on randomized controlled trials testing technology-assisted interventions. His work frequently addresses health disparities and aims to develop interventions accessible to diverse populations, including socioeconomically disadvantaged groups and rural communities. Recent research includes machine learning-based adaptive systems for smoking cessation and digital divide risk assessment tools. Dr. Houston has established extensive collaborations, particularly with Dr. Rajani Sadasivam and other colleagues at UMass Chan Medical School. His research has been supported by various grants focused on developing and testing innovative digital health solutions. He has conducted international research in Vietnam on peer texting for smoking cessation and has developed multiple digital tools including the 'Share2Quit' peer marketing system and 'Crave-Out' mobile application for smoking cessation support. His laboratory work focuses on interdisciplinary collaboration between computer scientists, clinicians, behavioral scientists, and public health researchers to develop and implement effective health technologies. Dr. Houston continues to be actively engaged in cutting-edge research at the intersection of technology and healthcare delivery.

• Healthcare Systems
• Public Health
• Clinical Medicine
• +3 more

Jonathan Clarke is a Sir Henry Wellcome Postdoctoral Fellow at the EPSRC Centre for Mathematics of Precision Healthcare, Imperial College London, within the Faculty of Natural Sciences. He holds an Honorary Senior Research Fellow position in the Department of Mathematics. His work focuses on healthcare systems as complex networks, applying data science and network analysis to improve healthcare delivery and address inequalities. He is affiliated with multiple institutions, including the Institute of Global Health Innovation, the Francois Xavier Bagnoud Centre for Health and Human Rights, and Médecins du Monde. Clarke graduated from the University of Cambridge with a background in Anthropology and Clinical Medicine. He trained as a general surgeon, completing an Academic Clinical Fellowship at Imperial College London and a Masters in Public Health at Harvard University as a Kennedy Scholar. His doctoral thesis explored healthcare networks using network analysis and machine learning, supervised by Professors Mauricio Barahona and Ara Darzi. His research interests include global health equity, electronic health record interoperability, and the societal impacts of healthcare systems. He has advised organizations like the Institute for the Future of Work and the Helix Centre for Design in Healthcare. Recent work addresses Long COVID disparities, AI in healthcare, and the environmental impact of large language models in medicine. Clarke has been recognized with prestigious awards, including the Kennedy Scholarship and Sir Henry Wellcome Fellowship. His publications span topics from multimorbidity clusters to NHS mergers, reflecting his interdisciplinary approach to healthcare challenges.

Lou FarrerView profile

Associate Professor

• Digital mental health interventions
• E-mental health
• Telehealth
• +7 more

Lou Farrer is an Associate Professor at the Centre for Mental Health Research within the School of Medicine and Psychology at The Australian National University (ANU) . She specializes in digital mental health interventions , focusing on the development and implementation of telehealth and online therapy programs for depression and anxiety disorders . Her work bridges clinical service delivery and technological innovation, examining factors influencing program adherence and dissemination in diverse settings. Dr. Farrer previously held an Australian Research Council DECRA (2019-2024) to study digital mental health implementation in clinical practice. She leads initiatives like the Uni Virtual Clinic , a digital tool for improving university student mental health, and contributes to implementation science research. Her projects include cluster randomized trials in schools and workplace telehealth training programs. Recent publications highlight her expertise in transdiagnostic interventions , syndemics , and suicidal ideation mechanisms. Awards include the DECRA , and she has extensive experience in randomized controlled trials and qualitative research . Dr. Farrer collaborates globally on mental health projects and has over 90 research outputs.

• Entrepreneurship
• Strategic Management
• International Business
• +3 more

Bilal Jathol is an Assistant Professor of Strategy and Entrepreneurship at NEOMA Business School . His research explores organizational and entrepreneurial responses to environmental uncertainties, with a focus on qualitative methodologies and internationalization strategies from developing countries. Assistant Professor, Strategy & Entrepreneurship, NEOMA Business School (France) Research Interests: Entrepreneurial decision-making under uncertainty Internationalization of firms from emerging markets Strategic responsiveness through institutional bricolage Qualitative methods in organizational studies Publication Trends: Bilal's work spans journals like M@n@gement and Management International, and conferences such as AOM, EGOS, and Babson. His research integrates strategic management, digital transformation, and institutional theory, with case studies on the BBC's digital evolution and global entrepreneurial behavior. Academic Contributions: Bilal has published on pivoting strategies in digital born-global firms, complex field-positions in niche industries, and tools for large-scale organizational transformation. His work often examines temporal-structural contexts and historical-evolutionary approaches to strategy.

Matthias KühnbachView profile

Professor

• Decentralized Energy Systems
• Energy Communities
• Energy Sharing
• +6 more

Matthias Kühnbach is a Professor of Decentralized Energy Systems at the University of Applied Sciences Kempten (since 2024). His research focuses on techno-economic evaluation of decarbonization strategies for SMEs, energy communities, and smart charging systems. Education: Master's in Industrial Engineering (Karlsruhe Institute of Technology & Bergamo University), PhD in Decentralized Electricity Systems (University of Freiburg) Previous Roles: Researcher at Fraunhofer ISI (2017-2022), Research Group Leader at Fraunhofer ISE (2022-2024) His work explores prosumer models, energy sharing, and the value of coordinated flexibility resources in energy systems. Recent publications analyze smart charging impacts, energy community viability, and demand-side flexibility mechanisms. Key article trends include: Smart EV charging optimization Decentralized energy system modeling Economic analysis of energy communities Demand response in residential and commercial sectors Integration of renewable energy with storage Policy incentives for energy flexibility

Henry ChapmanView profile

Professor

• Later Prehistory
• Wetland Archaeology
• Landscape Archaeology
• +7 more

Professor Henry Chapman is a Professor of Archaeology in the Department of Classics, Ancient History and Archaeology at the University of Birmingham. His academic career spans decades of research focused on later prehistoric periods, particularly examining human-environment interactions within past landscapes, with special emphasis on wetland sites. Chapman has established himself as a leading expert in the application of digital technologies for archaeological modeling and analysis. Education: BA from University of Exeter PhD from University of Hull Chapman's research interests center on the relationships between human activity and environmental change within past landscapes, with particular focus on wetland sites. He specializes in digital technologies for modeling and analysis, including GPS, laser scanning, geophysics, and GIS. His work bridges traditional archaeological methods with cutting-edge digital approaches, extending to applications within galleries, museums, libraries and archives. A significant portion of his research examines European bog bodies and their cultural contexts, as well as the Stonehenge landscape. Analysis of Chapman's recent publications reveals a strong interdisciplinary approach combining palaeoenvironmental analyses, chronological modeling, excavation, and GIS analysis. His work demonstrates consistent focus on digital heritage applications and wetland archaeology, with significant contributions to understanding prehistoric landscapes through technological innovation. Scientific Awards: Fellow of the Society of Antiquaries (FSA) Chapman actively supervises postgraduate students across diverse topics including digital approaches to conflict archaeology, landscape archaeology of European bog bodies, predictive modeling of Bronze Age Anatolia using GIS, and the archaeology of Neolithic and Iron Age sites. His research has been supported by significant grants from Historic England and JISC, demonstrating his ability to secure competitive funding for archaeological projects. He has led multiple substantial projects including the Stonehenge Hidden Landscapes Project and investigations of peatland archaeology. Chapman maintains an active presence in public archaeology, having worked extensively with media outlets including Channel 4's Time Team and appearing as an expert contributor for Discovery, BBC, Channel 4, Channel 5, and National Geographic. His current research continues to push boundaries in digital archaeology while maintaining strong connections to fundamental questions about human-environment relationships in prehistory.

• Public health
• Sociology
• Social and personality psychology
• +6 more

Ms Cleo Anderson is an Lecturer in Psychology at Deakin University's School of Psychology , with a focus on mental health and digital interventions. Her research spans clinical psychology, eating disorders, and behavioral therapies, combining academic rigor with technology-driven solutions. Bachelor of Applied Science (Psychology) (Honours), Deakin University Her work emphasizes public health psychology , digital mental health apps , and body image research , often collaborating on meta-analyses of clinical interventions for depression, insomnia, and disordered eating. Articles highlight trends in artificial intelligence applications and dialectical behavior therapy mobile tools. While no formal scientific awards are listed, her publications demonstrate expertise in randomized controlled trials , self-guided psychological interventions , and user engagement with health technologies . Contact: cleo.anderson@deakin.edu.au , ceand@deakin.edu.au

Kim Jong-hyunView profile

Professor

• Network Security
• Cybersecurity
• Mobile Communications Security
• +5 more

Professor Kim Jong-hyun serves in the Department of Information Security at Sejong University, directing the Network Security Lab which develops core security technologies for cyberattack response, cloud security, and mobile communications security in evolving digital environments. The lab actively participates in international standardization efforts. His research spans critical cybersecurity domains: Network and 5G Security Drone (UAV) Security Systems AI-Driven Malware Detection Cloud Infrastructure Protection Mobile Communications Vulnerability Analysis Base Station Authentication Mechanisms 2024 publications reveal concentrated research on wireless security challenges, particularly fake base station threats in 5G networks, container security in cloud-native environments, and deep learning applications for UAV location integrity. His work bridges theoretical models with practical implementations for next-generation network security. No scientific awards are documented in the provided materials. Professor Kim actively supervises graduate research through Master's thesis and Doctoral Dissertation courses in the Graduate School of Information Security, while teaching specialized courses including Mobile Communications Security and Advanced C Programming. His advising focuses on emerging security threats in telecommunications infrastructure. The Network Security Lab (Se212C) functions as an operational hub for hands-on security research, with interview procedures requiring direct email contact for prospective students.

• Artificial Intelligence in Surgery
• Clinical Decision Support Systems
• Trauma Outcomes Research
• +3 more

Christopher Tignanelli is an Associate Professor at the University of Minnesota Medical School , affiliated with the Division of Critical Care & Acute Care Surgery . He serves as Co-Director of Clinical Quality, Outcomes, Discovery and Evaluation (CQODE) , Scientific Co-Director of the Program for Clinical, Center for Learning Health System Sciences , and Associate Dean for Data Science . Educational background includes MD, MS in Clinical Research , and MBA in Healthcare Innovation Specializes in Artificial Intelligence in Surgery , Clinical Decision Support Systems , and Trauma Outcomes Research Key research themes: Machine Learning for Readmission Prediction , Venous Thromboembolism Prophylaxis , Post-COVID-19 Condition Analysis His work integrates AI/ML with clinical outcomes across trauma care and pandemic medicine , focusing on real-world evidence and health informatics . Notable contributions include multicenter clinical trial leadership and statewide trauma collaborative innovations . Scientific Awards : American Association for the Surgery of Trauma Clinical Protocol Development Award MBA in Healthcare Innovation MS in Clinical Research MD Degree Statewide Trauma Collaborative Process Measure Innovation Recognition Multicenter Trial Leadership Award