Find Academic Supervisors

David MorrisView profile

Senior Lecturer

• Computer Vision
• Image Processing
• Medical Imaging
• +5 more

David Morris is a Senior Lecturer in the School of Computer Science, specializing in Computer Vision and Image Processing. He holds a BSc in Physics from Southampton University and a PhD in Medical Physics from the University of Sheffield. His research focuses on real-time video processing, texture measurement, medical image interpretation, and perceptual interfaces. He has authored two textbooks: Multimedia Systems and Computer Vision and Image Processing , and is a member of IEEE technical committees. Currently supervising one research student (Najlaa), he has previously guided 7 MPhil and 23 PhD students. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure. Research Interests: Real-time video processing, medical imaging applications, and smart environments. His recent work explores human behavior prediction in smart environments using machine learning and contextual data analysis. Projects include UAV-based computer vision frameworks and X-ray CT applications in hydrocarbon exploration. Advising and Grants: Supervised 30+ postgraduate students; involved in projects like 'Vision-based Waste Lithium-Ion Battery Detection for Recycling Plants' and 'Waste Management Deep Learning'. Active in organizing academic events like the Computer Graphics & Visual Computing Conference 2018. Labs/Teams: Member of the Advanced Interfaces/Computer Vision Research Group.

Michel KIEFFERView profile

Professor

• Signal Processing
• Communication Systems
• Networking
• +5 more

Michel KIEFFER is a Professor in Signal Processing for Communications at Paris-Sud University and a researcher at the Laboratoire des Signaux et Systèmes (L2S), Gif-sur-Yvette, France. He holds a Ph.D. (1999) and Habilitation (2005) from Université Paris-Sud. Previously, he served on part-time leave at Laboratoire de Traitement et Communication de l’Information (CNRS-Télécom ParisTech, 2009–2016) and was a junior member of the Institut Universitaire de France (2011–2016). His research focuses on joint source-channel coding, signal processing for communication networks, and robust control systems. Key contributions include works on multimedia transmission reliability, UAV localization, and fault identification in power grids. He co-authored over 100 publications and books like Applied Interval Analysis (Springer, 2001) and Joint Source-Channel Decoding (Academic Press, 2009). He serves as Associate Editor for Signal Processing (since 2008) and IEEE Transactions on Communications (2012–2016). His work spans interdisciplinary areas such as energy systems, robotics, and telecommunications, addressing challenges in real-time data transmission, network slicing, and distributed control.

Zoran IvanovskiView profile

Professor

• Image Processing
• Speech Recognition
• Medical Imaging
• +3 more

Professor Zoran Ivanovski is a Full Professor and Head of the Institute of Electronics at the Faculty of Electrical Engineering and Information Technologies, University Saints Cyril and Methodius in Skopje, North Macedonia. He has held this position since 2016, advancing from Assistant Professor (2006–2011) to Associate Professor (2011–2016). His academic journey includes a Ph.D. in Electronics (2006), M.Sc. in Electronics (2000), and B.Sc. in IT and Automation (1990), all from the same university. His research focuses on image processing , speech recognition , medical imaging , and machine learning applications . Notable projects include real-time traffic analysis systems, automated media transcription, and quality control for medical imaging. He leads initiatives such as the Road Tax Payment Control System (funded by EBRD) and systems for object recognition using LIDAR and RGB-D data. Recent publications span hybrid CNN-DSP algorithms, real-time vehicle detection, and medical imaging advancements. His work emphasizes practical applications in healthcare, transportation, and assistive technologies.

• Aging
• Healthcare Ethics
• Social Work
• +5 more

Rôles and Affiliations: Adjunct Professor at Polytechnic Institute of Setúbal (since 2005) Researcher and Coordinator of the Bachelor's Degree in Acupuncture Coordinator of the Higher Professional Technical Course in Family and Community Service Director of the Training Center for Educational Communities at CPDF Member of the Technical-Scientific Council at School of Health Education: Doctorate in Didactics and Organization of Educational Institutions (2015) - University of Seville Master's in Multimedia Educational Communication (2003) - Universidade Aberta Bachelor's in Primary Education (1983) - Instituto Normal Superior Miguel Febres Cordero Research Focus: Social aspects of aging: Ageism, elderly care, and health equity Ethical frameworks in healthcare research Technology integration in health education and community intervention Social inclusion policies targeting vulnerable populations Professional Engagement: Organized 66+ academic events and participated in 63 Co-author of 2 book chapters and 1 journal article Principal investigator in 3 research projects Labs/Teams: Coordinator of the Interdisciplinary Research Applied to Health (CIIAS-IPS) team Leading the Age4All project on aging-related social/health innovations

Jana HolsanovaView profile

Senior Lecturer

• Multimodality
• Cognition
• Visual Communication
• +3 more

Jana Holsanova is an Associate Professor and Senior Lecturer in Cognitive Science at Lund University's Department of Philosophy. She holds multiple roles, including project leader, supervisor, and senior researcher within the Linnaeus environment 'Cognition, Communication, and Learning'. Her research focuses on multimodality, cognition, and communication, with emphasis on eye-tracking studies, visual communication, and accessibility through audio description. She coordinates the 'Audio Description and Image Description for Accessible Communication' initiative and chairs the Swedish Braille Authority (Punktskriftsnämnden). Her research explores image perception, language-image interaction, and accessibility for visually impaired individuals. She has authored books on discourse, vision, and cognition, and serves on editorial boards for journals like Frontiers in Communication . Awards include the Inga and John Hains Foundation Prize (2013, 2014) and the Humboldt Prize (1986). Jana has led projects on media accessibility, including studies on audio description efficacy for blind audiences. Her work bridges cognitive science, technology, and societal inclusion, with contributions to educational design and policy-making in accessible media.

• Mathematical modeling and simulation in biology
• Scientific computing and numerical methods
• Computational fluid dynamics
• +4 more

Ying Chen is a Visiting Assistant Professor of Mathematics at Purdue University's Department of Mathematics, affiliated with the College of Science. Her research focuses on mathematical modeling in biology, scientific computing, and computational fluid dynamics. She has contributed to interdisciplinary projects involving autonomous systems, human-computer interaction, and medical visualization. Her work bridges theoretical mathematics with practical applications in healthcare systems, environmental monitoring, and autonomous vehicle technologies. Key research interests include developing algorithms for 3D scene reconstruction, optimizing vehicle interface safety, and applying AI to clinical decision support. Her recent publications explore topics like neural motion flow for autonomous driving, haptic feedback in bicycle safety systems, and LiDAR-camera fusion techniques. Collaborations span computer science, engineering, and biomedical fields. Publications from 2023–2025 reveal a focus on spatiotemporal data visualization, VR training systems, and multi-modal forest monitoring. Notable trends include integrating machine learning with real-world challenges in transportation safety and environmental analysis. While no awards are explicitly listed, her work has been recognized in VAST Challenge competitions for innovative visualization methodologies. Ying Chen’s teaching and research emphasize bridging abstract mathematical concepts with tangible applications. She has developed educational tools like the Mindwriter academic writing environment and conducted studies on visual learning strategies for students with math difficulties. Her work on car dashboard interface design and in-car entertainment systems highlights a commitment to user-centered technology solutions.

Stefano PadillaView profile

Associate Professor

• Human-Computer Interaction (HCI)
• Computer Supported Collaborative Work (CSCW)
• Data Visualization
• +4 more

Stefano Padilla is an Associate Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, with a focus on Computer Science. He serves as Programme Director for BSc Computer Science and MEng Software Engineering, and Deputy Programme Director for BSc Computer Systems and MDes in Games Design and Development. He leads the Strategic Futures Laboratory and has expertise in Human-Computer Interaction (HCI), Computer Supported Collaborative Work (CSCW), and data visualization. His research explores tools for research strategy, collaboration, and innovation, with applications in games, fashion, and retail. Padilla has received multiple awards, including Honourable Mentions at ACM DIS and CHI conferences, and fellowships for public engagement. His work integrates perception studies, crowd-based feedback systems, and interactive technologies to enhance user experience and academic collaboration. Research interests span HCI, data visualization, and interdisciplinary innovation. Key areas include: 1) designing tools for collaborative work and creative industries; 2) leveraging crowdsourcing for perceptual and emotional feedback; 3) visualizing complex research trends; and 4) bridging digital and tactile experiences in fashion and art. His contributions address challenges in user confidence in AI systems, effective networking strategies, and translating academic research into practical applications. Awards highlight his impact: Edinburgh Beltane Public Engagement Fellow (2011), Heriot-Watt Principal's Award (2011), and Best Technical Paper (2013). He actively organizes research events, such as the SICSA Data Science Event (2017), and contributes to academic strategy through publications and conference activities. Padilla's advisory and collaborative work extends to multinational companies and SMEs, demonstrating real-world applications of his research. His lab, the Strategic Futures Laboratory, focuses on foresight tools and innovation ecosystems, reflecting his commitment to bridging academia and industry.

Brian FenclView profile

Professor

• Visual Arts
• Drawing
• Art Education
• +3 more

Brian Fencl is a Professor of Art and Director of the Nutting Gallery at West Liberty University. He holds an MFA in Drawing from the New York Academy of Art (2000) and a BFA in Illustration from Art Center College of Design (1990). His work spans over three decades of exhibitions across the US and Italy, focusing on contemporary visual arts, drawing, and interdisciplinary practices. Research interests include traditional and experimental approaches to drawing, art education methodologies, and the intersection of art with social commentary. He has organized major events like the Paint Oglebay Park plein air festival and led residencies including the NYAA x Voice NFT residency (2022) and Cuttyhunk Artist Residency (2019). Exhibitions reflect diverse themes from kitsch critique to regional cultural identity, with recent works displayed at the David L. Dickerson Fine Arts Gallery and Beckley Art Center. His teaching spans drawing, art history, and digital media, including roles as AP Studio Art Portfolio Reader since 2017. Awarded West Liberty’s Faculty Excellence in Teaching (2022) Recipient of Best of WV Juror’s Award (2022) and multiple Professor of the Year titles Directed the Nutting Gallery since 2020 and led the Visual Art Department until 2020 Organized the annual Extreme Art Night since 2002 and served on the Faculty Senate (2004–2018). Maintains active ties with regional institutions like the West Virginia Governor’s School for the Arts and the Carnegie Museum of Art.

Sonia HaiducView profile

Associate Professor

• Software Engineering
• Program Comprehension
• Source Code Search
• +4 more

Sonia Haiduc is an Associate Professor in the Department of Computer Science at Florida State University (FSU). Her research focuses on software engineering, particularly software maintenance, evolution, program comprehension, and source code search. She holds a Ph.D. (2013) and M.Sc. (2009) from Wayne State University, and a B.Sc. (2006) from Babeș-Bolyai University in Romania. **Education:** Ph.D. in Computer Science, Wayne State University, 2013 M.Sc. in Computer Science, Wayne State University, 2009 B.Sc. in Computer Science, Babeș-Bolyai University, 2006 **Research Interests:** Software Engineering Methodologies Source Code Analysis Empirical Software Engineering Video Tutorials for Software Learning Developer Communications Human Factors in Software Development Her service contributions include organizing key conferences like IEEE International Conference on Program Comprehension (ICPC) and chairing roles in workshops such as Mining Unstructured Data (MUD). She has been recognized with awards including the Google Anita Borg Scholarship and multiple ACM SIGSOFT travel awards. **Grants & Labs:** Director of the SERENE Group at FSU National Science Foundation Award CCF-1526929 (2015–2018): Focuses on text retrieval in software engineering Teaching spans courses like Software Engineering II and Graduate Software Engineering, with extensive TA experience in foundational computer science courses.

• Audio Signal Processing
• Music Information Retrieval
• Deep Learning
• +3 more

Alexander Schindler is an External Lecturer at the Department of Information Systems Engineering at Technische Universität Wien. His research focuses on audio signal processing, music information retrieval, and deep learning applications in multimodal analysis. He coordinates the approacH project (2010–2013) funded by the European Commission, exploring audio-visual search engines. His academic background includes a Dipl.-Ing. in Technical Engineering and a Dr.techn. from TU Wien. Key research areas include acoustic scene classification, deepfake detection, and music video analysis. He has supervised students on topics like bird song identification and machine outage prediction. Notable publications span from unsupervised cross-modal learning (2020) to multi-modal MIR frameworks (2019). He holds a Bakk.techn. and advanced technical qualifications. Recent work includes advancements in deepfake audio detection (2025) and audio-visual surveillance systems (2024). His projects bridge theoretical research with practical applications in forensic analysis and industrial predictive maintenance. He contributes to international conferences like ACM SAC and DCASE, focusing on neural network architectures for audio analysis.

Pasquale LisenaView profile

Research Fellow

• Semantic Web
• Knowledge Engineering
• Recommendation Systems
• +3 more

Pasquale Lisena is a Postdoctoral Researcher at EURECOM's Data Science department, working in the Data2Knowledge group. His research focuses on Semantic Web technologies, Knowledge Engineering, and Recommender Systems, particularly in the context of Digital Humanities and cultural heritage. Education: PhD in Data Science (2019), EURECOM + Sorbonne Université, France MSc in Cinema and Media Engineering (2015), Politecnico di Torino, Italy Research Interests: Semantic Web & Knowledge Graphs Recommender Systems Digital Humanities Event Relation Extraction Projects: kFLOW (ANR JCJC project coordinator, 2021) Odeuropa ANTRACT DOREMUS Awards: Best Resource Paper Award (2022)

• Computer Science
• Information Engineering
• Deep Learning
• +3 more

Di Zhang is affiliated with Guangdong Medical College's School of Information Engineering and holds a PhD in Synthetic Aperture Radar Image Interpretation from the University of Hamburg (2022). Their research focuses on interdisciplinary fields such as deep learning, remote sensing, optimization algorithms, and their applications in medical imaging, environmental science, and education technology. They have published extensively in top-tier journals like IEEE Access, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Remote Sensing. Key affiliations: University of Hamburg (PhD), Guangdong Medical College, and others listed in disambiguation entries. Research interests include AI-driven medical diagnostics, SAR image analysis, IoT data management, and educational assessment systems. Recent work emphasizes deep learning frameworks for image processing, algorithm optimization, and multimodal data fusion. Publications span diverse topics such as migraine diagnosis via radiomics, social support in online learning, and robust visual SLAM systems. Their work bridges theoretical advancements with practical applications in healthcare, robotics, and environmental monitoring.

Jiebo LuoView profile

Professor

• Computational social science
• Natural language processing
• Digital health
• +4 more

Jiebo Luo is a Professor of Computer Science at the University of Rochester, where he has been since 2014. Prior to this, he spent over 15 years at Kodak Research Laboratories, rising to Senior Principal Scientist. His research spans computer vision, natural language processing, machine learning, and computational social science. BS and MS in Electrical Engineering from University of Science and Technology of China (USTC), 1989 and 1992 PhD in Electrical Engineering from University of Rochester, 1995 Dr. Luo's work focuses on bridging computer vision with social science through multimedia analysis, social media modeling, and digital health. His research includes innovative approaches to unsupervised learning, event recognition in videos, and multi-label classification. His publications highlight trends in deep learning for medical imaging, social media as sensors, and video analytics. Key subfields include semantic understanding, attention mechanisms, and multimodal fusion. 2021 ACM SIGMM Technical Achievement Award 2018 IEEE Region 1 Technological Innovation in Academic Award 2004 Eastman Innovation Award Fellowships: ACM, AAAI, IEEE, IAPR, SPIE Dr. Luo serves as Editor-in-Chief for IEEE Transactions on Multimedia (2020-2022) and has held leadership roles in multiple IEEE Technical Committees. He is a Data Science CoE Distinguished Researcher at the Goergen Institute for Data Science and a Board Member of the Greater Rochester Data Science Industry Consortium.

Mehwish NasimView profile

Senior Lecturer

• Complex Systems
• Social Network Analysis
• Human-Centric Cyber Security
• +5 more

Mehwish Nasim is a Senior Lecturer at The University of Western Australia (UWA), affiliated with the School of Physics, Maths and Computing's Department of Computer Science and Software Engineering. She previously held roles at the University of Adelaide, Flinders University, and CSIRO. As the Social Media Coordinator for the Australian Mathematical Society (AustMS), she bridges academic communication and public engagement. Her research focuses on complex systems, social network analysis, cyber security, and health analytics. Current projects include AI-driven detection of misinformation, polarization modeling on social media, and predictive models for population-level events. She also explores decision-making frameworks using complex systems methodologies. Recent publications highlight her work on large language models in social science, video moment retrieval, and mental health surveillance. Her contributions span computational methods for social good, environmental prediction, and ethical AI applications. Awards: Shining Star in AI (WiTWA 2023), PMC School Special Commendation (2023), Anne Penfold Street Award (2023) External Roles: Adjunct Lecturer at Flinders University and University of Adelaide; Visiting Scientist at CSIRO-Data61; Associate Investigator at ARC Centre of Excellence for Mathematical and Statistical Frontiers Activities: Organized the 1st International Workshop on Multimodal Content Analysis for Social Good (2023); Public outreach on cybersecurity and data science She actively supervises PhD students in areas like AI ethics and social network dynamics, contributing to UWA's research degree opportunities.

John RobinsonView profile

Professor

• Communication Technologies
• Audio Signal Processing
• Image Processing
• +3 more

John Robinson is a Professor of Electronic Engineering at the University of York, affiliated with the School of Physics, Engineering and Technology. He holds a BSc in Mathematics from Durham University, MSc and PhD in Engineering from the University of Essex, and an MPhil in Humanities from Memorial University of Newfoundland. His research focuses on image and video processing, statistical pattern recognition, and deep learning applications. Notably, he developed masked conditional neural networks for sound and audio classification. From 2012 to 2020, he served as Pro-Vice Chancellor for Teaching, Learning, and Students, and previously led the Electronics department at York. He is a Principal Fellow of the Higher Education Academy. Research Interests: Human face analysis Projector-camera systems Picture coding Audio and acoustics Deep learning for signal analysis Scientific Awards: Principal Fellow of the Higher Education Academy (HEA) Advising & Grants: Collaborates with industrial partners on face analysis technology. Previously led projects in video coding and multimedia communications. Served on the executive committee of Professors and Heads of Department in Electrical and Electronic Engineering (PHEE). Labs/Teams: Active in the Communication Technologies Group, focusing on audio and acoustics research, and has contributed to initiatives like the LivePaper System for augmented reality.