Find Academic Supervisors

Stephanos MavromoustakosView profile

Associate Professor

• Web Engineering
• Human-Computer Interaction
• Information Security
• +3 more

Dr. Stephanos Mavromoustakos serves as Acting Associate Dean and Chair of Cybersecurity, Computer Science, and Software Engineering at Indiana Tech's Talwar College of Engineering and Computer Sciences. He holds an Associate Professor rank and directs the Cybersecurity Center. His academic journey includes a PhD in Computer Science from the University of Cyprus (2006) and multiple degrees from Nova Southeastern University. With over 25 years of experience, Dr. Mavromoustakos has taught at institutions like the University of Windsor and European University Cyprus. His professional leadership spans roles as department head, consultant, and CEO of Cyprosoft. He currently advises programs in Cybersecurity (BS/MS), Computer Science (BS), and Software Engineering (BS). Research interests focus on Web Engineering , Human-Computer Interaction , Information Security , and Artificial Intelligence . Notable work includes cybersecurity project development, adaptive e-Learning systems, and biometric authentication technologies. He has published extensively in journals like UPGRADE and conferences such as IEEE and ACM. Grants include NSF S-STEM ($1M), Google Cloud Platform grants, and EU projects like MEDFORIST ($2.5M). His funded projects address data security, mobile commerce, and educational technology innovations. He teaches a wide range of undergraduate and graduate courses, emphasizing practical skills in software engineering, database systems, and cybersecurity.

Andrea Kallinger-AufnerView profile

Professor

• Data-driven school and teaching development
• Competency-oriented teaching and learning
• Competency assessments & diagnostic tools
• +3 more

Prof. Andrea Kallinger-Aufner is a Professor at the Vienna University of Education (PH Wien), affiliated with the Institute for School Development, Leadership and Practice Schools. She holds a Magister degree in German Philology and English and American Studies from the University of Vienna, with a Matura from BORG Oberpullendorf. Her professional background includes extensive experience in teacher education, school development consulting, and leadership roles such as Head of eKom (2023–2024) and Head of ZeKom (2019–2022). Her research focuses on data-driven educational strategies, competency-oriented teaching, and diagnostic tools for teacher effectiveness. She has led projects on educational standards and competency assessments, and her work emphasizes practical applications in school environments. Kallinger-Aufner has also contributed to nursing education through competency-focused lectures at Vienna General Hospital. She actively participates in academic governance, serving as Chair of the Teaching Staff Committee (since 2021) and contributing to quality management initiatives. Her educational journey includes advanced training in systemic leadership, data-driven school development (via TU Dortmund University), and leadership programs funded by the Austrian Ministry of Education. She has authored numerous publications on educational methodologies and served as a consultant for open learning methods and project-based teaching. Her contributions span international collaborations, including a project with the Academy for Teacher Education in St. Petersburg (2014–2016), and she has presented keynote lectures on data management in education and competency-based teaching.

• German as a Foreign Language
• Intercultural Communication
• Tourism and Language Studies
• +3 more

Kristina Djaković is a Senior Lecturer at the Department of Foreign Languages (FET) within the Faculty of Economics and Tourism at the University of Primorska in Pula, Croatia. She specializes in German language education, intercultural communication, and the intersection of language studies with tourism and cultural heritage. Her teaching responsibilities include undergraduate and graduate courses in German language, culture, and intercultural communication, emphasizing practical application and multimedia teaching methods. Her research focuses on language didactics, cultural studies in education, and the role of German language in tourism contexts. Notable contributions include analyses of Croatian textbooks for German as a foreign language, tourism advertising language, and the impact of globalization on language use in Istria. She actively participates in international conferences and curriculum development initiatives, advocating for innovative teaching methodologies and teacher training through multimedia tools. Publications span topics from historical language education frameworks to modern applications of digital resources in language learning. While no formal awards are mentioned, her work reflects sustained engagement with regional language preservation and pedagogical innovation in higher education.

• Language Education
• Digital Learning
• Foreign Language Teaching
• +3 more

Magdalena Duvnjak is a Lecturer at Singidunum University, specializing in language education with a focus on digital tools and business communication. She holds a Master's degree in German Language and Literature from the Faculty of Philosophy, Novi Sad (2000) and a Bachelor's degree in the same field (1993–2000). Education: Bachelor's: German Language and Literature, Filozofski fakultet, Novi Sad (1993–2000) Master's: German Language and Literature, Filozofski fakultet, Novi Sad (2000) Research Interests: Driven by innovation in language pedagogy, her work explores the integration of digital platforms (e.g., e-books and portals like DigidaZu) into foreign language teaching. She emphasizes practical applications for business communication and the development of interactive educational resources. Recent Contributions: Her publications highlight trends in digital education, including the use of e-books and specialized portals to enhance language learning experiences. Awards & Grants: No specific awards or grants mentioned in the text. Advising & Labs: No advising roles or lab affiliations detailed in the provided information.

Asra AslamView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +11 more

Dr. Asra Aslam is an incoming Assistant Professor of Data Science and AI at the University of Sheffield, UK, and currently serves as a Research Fellow at the University of Leeds, a Principal Investigator at the Alan Turing Institute, and a Visiting Researcher at Newcastle University. Her interdisciplinary work bridges artificial intelligence, computer vision, and healthcare data science. Ph.D. in Computer Vision and Machine Learning, University of Galway, Ireland (2021) M.Tech and B.Tech in Computer Science and Engineering, Aligarh Muslim University, India Former Assistant Professor at AMU, India Machine Learning Research Scientist at mindtrace.ai, Manchester, UK Her research focuses on Computer Vision , Deep Learning , Graph Neural Networks , and Health Data Sciences , with applications in multimorbidity, medical imaging, and smart cities. She develops AI tools for clinical decision support, including the DynAIRx project for medicines optimization in patients with multiple long-term conditions. Dr. Aslam's recent publications highlight trends in automated clinical codelist development , temporal graph neural networks for patient clustering , GAN-based medical data augmentation , and efficient fire detection models . Her work is published in top venues including CVPR, IEEE Access, Springer, and Elsevier journals. Women of the Future Award (Highly Commended), 2023 Education/Academic Leader of the Year, 2024 Rising Star of the Year, Women in Tech Excellence Awards, 2024 Hildegard Franke Early Career Award, 2024 Global Talent Award (Exceptional) by UKRI, 2023 IEEE/CVF, ICML, AISTATS Travel Awards She leads and co-leads major research grants including the NIHR Team Science Grant (£2.8M) , Alan Turing DSG (£80K) , and Horizon One: Global Academy Crucible . She supervises PhD and Master's students and mentors early-career researchers. Dr. Aslam is a strong advocate for diversity, serving as General Chair of Women in Computer Vision (WiCV) , AI Lead for Women in AI UK , and Early Career Researcher Representative across multiple institutions. She is actively involved in organizing workshops at CVPR, NeurIPS, and AIM-RSF, and serves on editorial boards of Discover Data (Springer Nature) and MDPI Journal of Imaging .

Michael McMahonView profile

Lecturer

• Digital Media
• e-Learning
• Educational Technology
• +7 more

Michael McMahon is a Lecturer in the Department of Computing and Mathematics at South East Technological University (SETU). He is affiliated with the Wireless Communications & Large Scale Simulation Group, contributing to interdisciplinary research in digital education and simulation technologies. Education: Masters Degree in Digital Media & Education, University of Limerick (Awarded: 01 Jun 2010) Bachelors Degree in Computer Science, Ulster University (Awarded: 01 Jun 1992) Michael McMahon's research focuses on the intersection of digital media, e-learning, and pedagogical innovation. His work explores how hypermedia, musical intelligence, and multimedia design can enhance learning in diverse contexts, including elite sports training and language acquisition for Chinese students. He integrates technology with cognitive and practical learning theories to improve educational outcomes. His two key publications (2014, 2022) reflect a consistent interest in applying computing and media solutions to real-world learning challenges. The research spans language education, sports pedagogy, and digital learning environments, indicating a strong interdisciplinary orientation in educational technology and applied computing. Scientific Awards: No scientific awards listed. Michael McMahon advises on research within his domain, particularly in digital media and e-learning applications. While no formal grants are mentioned in the text, his involvement in peer-reviewed conference papers and research groups suggests active participation in funded or institutionally supported projects. He contributes to academic discourse through publications and collaboration within SETU's research ecosystem. He is part of the Wireless Communications & Large Scale Simulation Group, which likely engages in projects involving networked systems, simulation modeling, and educational technology development. This group provides a platform for collaborative research in large-scale digital systems with applications in learning and communication.

• Machine Learning
• Computer Vision
• Intelligent Systems
• +7 more

Evi Zouganeli is a Professor at the Department of Mechanical, Electrical and Chemical Engineering, Faculty of Technology, Art and Design, Oslo Metropolitan University (OsloMet). She leads the Automation, Robotics, and Intelligent Systems (ARIS) research group and serves as a board member of the Norwegian Artificial Intelligence Society (NAIS). Her work bridges academic research and industrial applications in intelligent systems. Research Focus: Zouganeli specializes in Machine Learning and Computer Vision applications for Cognitive Robotics, with emphasis on assistive technologies, smart cities, and smart industry. Her research explores neuromorphic computing, sensor network optimization, and multi-modal AI integration. Publications Trends: Recent works focus on AI-enabled robotics, sensor placement optimization in smart homes, and neuromorphic reservoir networks. Earlier contributions include European collaborative research in photonic technologies and broadband networks. Additional Contributions: She actively participates in public discourse about AI implementation challenges and Norway’s AI development potential, engaging with industry leaders and policymakers.

Tom DuscherView profile

Professor

• Information Design
• Scientific Visualization
• Science Communication
• +3 more

Tom Duscher is a Professor of Interactive Media at the Muthesius Academy of Art and Design in Kiel, Germany, affiliated with the Center for Media. He has held this position since 2003, leading research in information design and scientific visualization. Duscher founded the Science Communication Lab in 2015, focusing on innovative visual communication for scientific topics, and serves as a Principal Investigator at the Kiel Science Communication Network (KSCN) since 2021. His research explores: Information Design : Creating visual frameworks for complex scientific data Scientific Visualization : Developing interactive formats for oceanography and environmental science Experience Design : Studying impact processes in science communication Interdisciplinary Collaboration : Bridging art, design, and marine science His publications demonstrate a consistent focus on digital media evolution , interdisciplinary communication , and experimental visualization techniques , with recent works emphasizing science-art collaborations and immersive educational formats. Awards include: Information is Beautiful Award Gold (2019) German Design Award in Gold (2016, 2019) Red Dot 'Best of the Best' (2014) Innovation Award of Kiel (2017) He directs the Science Communication Lab and co-leads transdisciplinary projects through KSCN, a consortium involving Muthesius Academy, Leibniz Institute, and Kiel University. His Future Ocean Explorer project developed interactive exhibition technologies.

Jiangyu ZhengView profile

Professor

• Computer Vision
• Artificial Intelligence
• Autonomous Driving
• +3 more

Jiangyu Zheng is a Professor of Computer Science at Purdue University, affiliated with both West Lafayette and Indianapolis campuses. He holds dual roles within the Department of Computer Science and the College of Science. His career includes tenure at ATR Communication Systems Research Laboratory (1990–1993) and Kyushu Institute of Technology (1993–2001) as an associate professor, before joining Indiana University Purdue University Indianapolis (IUPUI) in 2001, where he advanced to full professorship. He earned a PhD in Control Engineering from Osaka University (1990) and a BS in Computer Science from Fudan University (1983). Dr. Zheng’s research focuses on computer vision, AI, autonomous driving, multimedia, virtual reality, and robotics. His pioneering work includes the world’s first digital panoramic image and motion-based human tracking systems. He has received notable awards such as the 1991 Best Paper Award (IPSJ) and 2000 Excellent Paper Award (Japan Society of Art & Science). His publications emphasize vehicle interaction analysis, semantic segmentation for autonomous systems, and hazard detection using deep learning. Key projects include developing motion profile-based collision alarming systems and weather/illumination-adaptive road profiling. He is a senior IEEE member and maintains active research labs focusing on AI-driven traffic systems and immersive technologies.

Alain BreuleuxView profile

Associate Professor

• Cognition
• Educational Technology
• Collaborative Learning
• +5 more

Alain Breuleux is a retired Associate Professor in the Department of Educational & Counselling Psychology at McGill University's Faculty of Education. He specializes in educational technology integration, teacher professional development, and collaborative learning communities. His work focuses on leveraging technology to enhance pedagogical practices through research-practice partnerships. Dr. Breuleux holds a B.Sc., M.Sc., and Ph.D. from Université de Montréal. His research explores cognition in learning environments, online community dynamics, and sociocultural theories like Cultural Historical Activity Theory (CHAT). He has contributed to scalable professional development models for educators and innovative uses of digital tools in remote learning contexts. His recent publications emphasize active learning strategies, teacher agency, and boundary-crossing in educational research. He has presented widely on topics such as knowledge-building networks and formative change laboratories. Despite not currently supervising students, his scholarship has shaped policies for ICT integration and teacher collaboration.

Ala Al KafriView profile

Senior Lecturer

• Artificial Intelligence
• Machine Learning
• Medical Imaging Analysis
• +5 more

Ala Al Kafri is a Senior Lecturer in Computer Science at Teesside University's Department of Computing & Games, affiliated with the Centre for Digital Innovation. With over 16 years of teaching experience across multiple institutions globally, he specializes in machine learning, artificial intelligence, and medical imaging applications. His research focuses on AI-driven diagnostics for lumbar spine diseases, with notable contributions to MRI analysis using convolutional neural networks. He has collaborated on projects involving physiotherapy education technology, autism screening, and multidisciplinary learning initiatives. Education includes a PhD in Machine Learning for Lumbar Spine Disease Diagnosis from Liverpool John Moores University (2019), an MSc from New York Institute of Technology (2005), and a bachelor’s degree. Professional development includes a Postgraduate Certificate in Academic Practice. Research interests span medical AI, data science, and education technology, with emphasis on practical applications in healthcare and learning environments. Key collaborations include developing an AI tool for lumbar spine disease prediction with University Multimedia Nusantara, and creating video-based physiotherapy assessment systems. Recent projects include AI-powered physiotherapy education systems, autism screening using ML, and smart highway vehicle detection. His work integrates technical innovation with real-world societal impact through multidisciplinary approaches.

• Human-Computer Interaction
• Social Robotics
• Dementia Care
• +5 more

Dr. David Unbehaun is a post-doctoral researcher at the University of Siegen working within Faculty III Information Systems and New Media. His research focuses on designing, implementing, and evaluating ICT-based systems for active and healthy aging, with particular emphasis on dementia care, cognitive and physical frailty, and age-related diseases. Dr. Unbehaun completed his education in business and public economics at the University of Halle-Wittenberg and Siegen, followed by a PhD in Socio-Informatics focusing on "Designing Assistive Technologies to Engage People with Dementia and their Caregivers." Prior to his academic career, he completed a 3-year apprenticeship in professional nursing in Düsseldorf and worked in various healthcare companies specializing in home and institutional care, where he was responsible for project management, quality management, and developing innovations in the healthcare sector. Dr. Unbehaun's research spans the intersection of human-computer interaction, computer-supported collaborative work, and healthcare technology. His work primarily focuses on developing and evaluating social robotics, augmented reality applications, and interactive systems for elderly care, particularly for people with dementia. He investigates how technology can support physical activity, cognitive capabilities, social interaction, and reminiscence therapy for individuals with cognitive impairments. His approach emphasizes participatory design methodologies, working closely with end-users including people with dementia, their caregivers, healthcare professionals, and care students. His recent publications demonstrate a clear trajectory toward increasingly sophisticated applications of social robotics and immersive technologies in healthcare settings. His work spans from foundational research on technology appropriation in dementia care to applied studies evaluating specific interventions in real-world care environments. A notable trend in his recent work is the expansion from dementia-specific applications to broader healthcare contexts including rehabilitation, sports, and education. Since 2016, Dr. Unbehaun has been involved in numerous national and international health-related projects. His work often involves collaboration with interdisciplinary teams across computer science, healthcare, and social sciences. While specific grant information isn't detailed in the provided text, his extensive publication record spanning multiple years suggests sustained research funding. Dr. Unbehaun is affiliated with the PraxLABS research group at the University of Siegen, which appears to focus on practical applications of socio-informatics in real-world settings. His work is closely connected to the university's Fab Lab Siegen and Social Media Observatories, suggesting engagement with hands-on technology development and community-based research approaches.

• Computer Graphics
• Computer Animation
• Virtual Heritage
• +6 more

Dr. Selma Rizvić is a Professor at the Department of Computer Science, Faculty of Electrical Engineering, University of Sarajevo. She leads the Sarajevo Graphics Group Laboratory and is a key figure in digital heritage projects. Her research focuses on computer graphics, virtual reality (VR), interactive storytelling, and cultural heritage preservation. Rizvić coordinates major EU-funded initiatives like SHELeadersVR and i-MARECULTURE, emphasizing VR's role in historical narratives and education. Affiliations: University of Sarajevo, Sarajevo Graphics Group, Digi.BA Association EU Projects: Creative Europe (SHELeadersVR, StecakLand), Horizon 2020 (i-MARECULTURE), FP7 (V-MusT.net) Her work combines VR/AR technologies with historical storytelling, exemplified by projects like the Virtual Museum of Genocide against Bosniaks and Roman Heritage digitization. Rizvić has authored books on digital cultural heritage and serves as an associate editor for journals like ACM's JOCCH. She actively participates in conferences, such as GCH and CESCG, and promotes Balkan digital heritage through immersive exhibitions. Notable contributions include integrating VR into theater (StecakLand play), underwater heritage visualization (Baiae), and school anti-bullying systems. Her technical expertise spans 3D modeling, procedural content generation, and user experience design in cultural contexts.

Andy WalkerView profile

Associate Professor

• Problem-Based Learning
• Meta-Analysis Methods
• STEM Education
• +5 more

Dr. Andy Walker is the Department Head and Associate Professor in the Department of Instructional Technology & Learning Sciences at Utah State University (USU), part of the Emma Eccles Jones College of Education and Human Services. He holds a PhD (2002) and MS (2000) in Instructional Technology from USU and a BA in English (1995) from Washington State University. His research focuses on problem-based learning (PBL), meta-analysis methods, and geoscience education through augmented reality applications. Notable projects include the NSF-funded Geoscience Apps initiative, which developed mobile field-trip simulations for geology education, and collaborative work on scaffolding’s impact in STEM education. He has co-authored influential books like Essential Readings in Problem-Based Learning (2015) and over 50 peer-reviewed journal articles. Walker has secured grants totaling over $700,000, including NSF awards for geoscience education technology and meta-analytic studies of scaffolding. His teaching spans courses on PBL, multimedia programming, and professional development for educators. He has served on USU’s College Research Council, Faculty Senate, and departmental committees, contributing to curriculum design and admissions decisions. Research Highlights: Bayesian meta-analyses, PBL implementation in teacher training, and virtual geology field trips. Grants: Co-PI for NSF projects ($240,737 for Geoscience Apps, $297,434 for scaffolding meta-analysis). Labs/Teams: Collaborations with Brett Shelton and Joel Pederson on geoscience education technology; partnerships with Brian Belland on scaffolding research.

Leighton JonesView profile

Senior Lecturer

• Exercise Psychology
• Affective Responses to Exercise
• Music and Exercise Interventions
• +4 more

Dr Leighton Jones serves as a Senior Lecturer in Sport and Exercise Science (Exercise Psychology) at Sheffield Hallam University's Academy of Sport and Physical Activity. He joined in 2015 after prior roles at Brunel University London, Liverpool John Moores University, and Bishop Grosseteste University. His research focuses on psychological, psychophysiological, and neurophysiological effects of exercise interventions, particularly music and multimedia stimuli. He teaches modules like Foundations of Psychology in Sport and Exercise, Research Methods, and Work-based Learning. Research interests include exercise motivation, behavior change, and the application of immersive technologies (e.g., virtual environments) to enhance exercise experiences. Notable work explores music's role in HIIT tolerance, affective responses to resistance training, and the embodiment-presence-interactivity framework in exercise contexts. His publications span 20+ peer-reviewed articles since 2006, with recent contributions on mindfulness in exercise and decennial updates to music-tempo preference models. Teaching responsibilities include undergraduate programs in Sport and Exercise Science and Physical Activity, Sport, and Health. He supervises student projects and actively contributes to curriculum development.