Find Academic Supervisors

• Computer Science
• Human-Computer Interaction
• Virtual Reality
• +4 more

Efe Bozkir is a researcher affiliated with the University of Tübingen, Germany. His work focuses on advancing virtual reality (VR) and augmented reality (XR) technologies through eye tracking, privacy-preserving data techniques, and integrating large language models (LLMs) into immersive systems. He explores human-computer interaction challenges, particularly in educational settings and ethical AI applications. Research interests include: privacy in eye-tracking data, generative AI for synthetic media analysis, and optimizing federated learning algorithms. He has co-authored over 50 publications in top-tier venues such as CHI, VR, and ACM Transactions on Applied Perception. Recent articles highlight innovations like CUIfy (an LLM integration toolkit for XR), privacy benchmarks for iris obfuscation, and AI-driven video assistants for active learning. His work consistently bridges technical advancements with societal implications, addressing GDPR compliance in metaverse environments and ethical AI use in education. Bozkir collaborates closely with interdisciplinary teams, including Enkelejda Kasneci (co-author in 49 works) and Süleyman Özdel. His PhD (2022) laid groundwork for 'Everyday Virtual Reality through Eye Tracking.' Though no formal awards are listed, his prolific publication record reflects significant contributions to XR research.

Jorma LaaksonenView profile

Senior Lecturer

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +4 more

Jorma Laaksonen is a Senior Lecturer at the Department of Computer Science, Aalto University (School of Science). His research focuses on artificial intelligence, machine learning, computer vision, and multimedia systems, with notable contributions to cross-lingual evaluation, hyperspectral imaging, and audio-visual attention mechanisms. He holds a Doctoral degree in Engineering and Technology from Helsinki University of Technology (1997). Education: Doctoral degree, Engineering and Technology, Helsinki University of Technology (1997) Licentiate degree, Engineering and Technology, Helsinki University of Technology (1991) Master's degree, Engineering and Technology, Helsinki University of Technology (1990) His research interests span AI-driven visual computing, human-computer interaction, and multimedia systems. Key projects include USSEE (audio-visual scene understanding) and ARTISDIG (AI for forest spectral analysis). He has published over 280 papers and supervised multiple theses. Awards include the IEEE Best Paper Award (2017) and Microsoft's Best Practice Award (2016). Recent work includes cross-cultural language modeling, efficient text-to-video retrieval, and open-world video instance segmentation. He leads the Lecturer Laaksonen Jorma group and actively participates in editorial roles and doctoral thesis evaluations.

Harvey YoungView profile

Professor

• Black Performance Theory
• African American Theatre
• Racial Politics in Performance
• +3 more

Harvey Young is a Professor and Dean of the College of Fine Arts at Boston University. Previously, he held a Professorship and chaired the Theatre department at Northwestern University, with additional appointments in African American Studies, Performance Studies, and Radio/TV/Film. His research explores race, performance, and cultural memory, with notable works like Embodying Black Experience (awarded Book of the Year) and Black Theater is Black Life . Educated at Yale (BA), SUNY Buffalo (MA), and Cornell (PhD), he has been a Harvard and Stanford fellow. He currently leads the College of Fine Arts and serves as President of the Association for Theatre in Higher Education. His research interests center on Black performance theory, racial dynamics in theatre, and the intersection of art with historical and social justice issues. Articles frequently address topics like directorial legacies, migration narratives, and the role of performance in addressing systemic inequities. His work has been featured in New Yorker , Wall Street Journal , and media outlets like CNN and Al Jazeera. Professional contributions include board roles with the African American Arts Alliance, Northlight Theatre, and Yale Club of Chicago. Awards and recognition highlight his scholarly impact, while his writing spans academic journals, oral histories, and public commentary on contemporary cultural issues.

Thamar SolorioView profile

Professor

• Natural Language Processing
• Computational Linguistics
• Multilingual Models
• +2 more

Thamar Solorio is Professor in the Department of Computer Science at the University of Houston. Her research spans natural language processing, computational linguistics, and multilingual systems with focus on under-resourced languages and linguistic diversity. Research Focus: Develops computational methods for linguistic code-switching analysis, low-resource language processing, multimodal learning systems, and cross-cultural NLP applications. Her work addresses challenges in linguistic diversity and equitable language technology. Publication Trends: Recent contributions examine LLM interactions across cultures, detection of questionable content in multimedia, and evaluation frameworks for diverse language systems. Her group actively participates in SemEval shared tasks on multilingual analysis. Regular speaker at major NLP conferences including keynote presentations at LatinX in AI and Mexican Summer School in NLP. Leads research initiatives on inclusive language technologies.

Giuseppe TorreView profile

Associate Professor

• Digital Art
• Artistic Research
• Sound and Performance
• +9 more

Giuseppe Torre is an Associate Professor at the University of Limerick's Department of Computer Science & Information Systems and a member of the Digital Media and Arts Research Centre. His work bridges digital art, philosophy, and technology, focusing on critical inquiry into the ethical and ontological dimensions of digital creativity. He advocates for Free/Libre Open-Source Software (FLOSS) as a methodology resisting technological commodification. Education: PhD in Digital Performance Arts (2013) MSc in Music Technology (2006) Laurea (MPhil) in Arts, Music & Spectacle (2003) Diploma in Classical Guitar (2002) Research Interests: Torre explores artistic practices that merge code, sound, and performance with philosophical traditions like phenomenology and media theory. Notable projects include Incidental Effects (2024), an EP emphasizing live coding and minimalism, and The ‘No’ core-(f)utility , critiquing computational affirmation. His book An Ethico-Phenomenology of Digital Art Practices (2021) interrogates the experiential ethics of digital creation. Awards: Ambassador Award (2020) CSIS Lecturing Excellence Award (2023) Advising & Grants: Torre is actively mentoring PhD students and has organized interdisciplinary events like the Digital Worlds Workshop (2025). His research often intersects with grants supporting FLOSS development and critical digital art. Labs & Collaborations: Engaged with the Digital Media and Arts Research Centre, Torre collaborates internationally on projects blending art, technology, and philosophy. Recent activities include invited talks on 'We Have Never Been Digital' (2025) and panels on phenomenology and digital arts (2024).

• Computer Vision
• Digital Forensics
• Signal Processing
• +5 more

Francesco De Natale is a Full Professor at the Department of Information Engineering and Computer Science, University of Trento. His expertise spans Computer Vision, Digital Forensics, Signal Processing, and Multimedia Systems. He teaches courses including 'Fondamenti di Comunicazioni', 'Fondamenti di Elaborazione dei Segnali', and 'Tecnologie Multimediali', focusing on signal analysis, communication systems, and multimedia processing. Research Interests: Digital forensics (e.g., deepfake detection, image provenance), computer vision applications (3D haptic modeling, crowd behavior analysis), and embedded systems for IoT/AAL solutions. Key Projects: Developed the AUSILIA platform for assisted living and Neuroberry for pervasive EEG signaling. Contributed to datasets like WILD for synthetic image analysis. Recent Focus: Combining machine learning with forensic techniques for detecting media manipulation, and energy-efficient edge computing for drones/UAVs. His work bridges theoretical research with practical applications in healthcare, cybersecurity, and robotics. Over 50+ publications since 2012 highlight contributions to signal processing, multimedia forensics, and human behavior analysis.

Jason RoosView profile

Associate Professor

• Causal inference
• Bayesian econometrics
• Structural modeling
• +10 more

Jason Roos is an Associate Professor of Marketing at the Rotterdam School of Management, Erasmus University. He holds a PhD in Business Administration (Marketing) from Duke University and a BA from the University of Washington. His research bridges marketing, econometrics, and behavioral science, focusing on causal inference, structural modeling, and digital consumer behavior. PhD in Business Administration (Marketing), 2012, Duke University BA in Business Administration, 2005, University of Washington His research interests include causal inference, Bayesian econometrics, experimental methods, internet and new media, entertainment goods, and digitization. He investigates how information, learning, and adaptation affect consumer choice, particularly in digital and entertainment contexts. His work develops advanced econometric methods to improve causal inference from experimental and observational data. His recent publications, appearing in journals like Marketing Science , Management Science , and Journal of Marketing Research , explore topics such as compliance promotions, internet news consumption, movie demand, and advertiser learning. The articles reflect a strong interdisciplinary trend, combining marketing theory with rigorous quantitative methods and digital data. He is a recipient of the INFORMS Society for Marketing Science (ISMS) Doctoral Dissertation Proposal Competition award. His research has practical implications for marketing strategy, digital platform design, and public policy. He supervises PhD students and contributes to the academic community through teaching and research mentorship. He maintains an active research agenda, with ongoing work on digitization of communities, fake news exposure, and experimental design. He is also engaged in public discourse on academic freedom and labor rights via social media.

Lu DingView profile

Assistant Professor

• Learning Sciences
• Instructional Design
• Online Learning Environments
• +5 more

Lu Ding is an Assistant Professor in the Instructional Design and Development Program at the University of South Alabama's Department of Counseling and Instructional Sciences within the College of Education and Professional Studies. Their role emphasizes innovative teaching methodologies and research in educational technology. Education: B.S., Instructional Technology, Wuhan Sports University (2009) M.Ed., Journalism and Communication, Wuhan Sports University (2012) Ph.D., Learning, Design, and Technology, University of Georgia (2017) Research Interests: Focuses on the intersection of learning sciences and instructional design, particularly in online environments. Key areas include: Video-based learning strategies (e.g., tutoring-style videos, dialogue videos) Gamification in education (online discussions, course design) STEM education innovation AI literacy and automated feedback systems Student motivation and engagement mechanisms Article Trends: Recent work explores the efficacy of video formats in STEM education, AI integration in teaching, gamification mechanics, and automated feedback systems in programming courses. Studies emphasize practical applications in authentic classroom settings. Awards: No specific scientific awards mentioned. Active in peer review for journals like Computers and Education and Technology, Pedagogy, and Education . Advising & Grants: Information on current advisees or funded grants not provided in the text. Teaching responsibilities include courses like ISD 653 (Developing Online Instruction) and EDM 510 (Microcomputing Systems in Education). Labs/Teams: No formal lab affiliations explicitly stated. However, research collaborations likely exist through USA's College of Education initiatives like the USA SARIC (South Alabama Research and Innovation Center).

Enrico MasalaView profile

Associate Professor

• Multimedia Communications
• Video Coding
• Digital Image Processing
• +7 more

Enrico Masala is Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he also serves as Deputy Coordinator of the College of Computer, Film and Mechatronics Engineering. He is a member of the Internet Media Group (IMG) and the Interdepartmental Center for Service Robotics (PIC4SeR), and actively contributes to multimedia systems research and education. His research interests include multimedia communications, video coding, digital image processing, and media quality assessment, with a strong focus on AI and machine learning applications. His work spans algorithm development for quality optimization in multimedia transmission over packet networks, including wireless and cloud-based systems. The recent publications highlight a strong trend in leveraging deep learning and AI to model human perception in multimedia quality assessment. Topics include artificial observers, modeling of subjective scoring behavior, and individualized quality prediction—indicating a shift toward more personalized and human-aligned evaluation frameworks in multimedia systems. Elsevier Audioslides competition (2013) ScienceDirect TOP25 Hottest Articles (2012) Fellow - IEEE (2014–) IEEE Senior Member Enrico Masala has served as Scientific Manager for multiple commercial research projects, including the Radio 3.0 streaming platform and V-POP multimedia transmission project. He has also acted as evaluator for CHIST-ERA and the European Commission. He teaches core courses such as Internet Video Streaming and Web Applications , and has delivered international lectures and keynote talks, including at BUPT in China and CONIELECOMP in Mexico. He leads the JEG-Hybrid project within the Video Quality Experts Group (VQEG) and is active in international research networks related to next-generation multimedia networking and cloud-based media delivery.

• Electroacoustic music
• Composition
• Live performance with electronics
• +6 more

Simon Emmerson is a Professor in Music, Technology & Innovation at De Montfort University’s Leicester Media School , with a career spanning nearly five decades. He founded the Electroacoustic Music Association of Great Britain (EMAS) and served on Sonic Arts Network/Sound and Music boards. His DAAD Edgard Varese Visiting Professorship at TU Berlin and Silver Jubilee Visiting Professorship at Western Australian Academy of Performing Arts highlight his global influence. Current research student supervisor at DMU Co-PI on AHRC-funded project New Multimedia Tools for Electroacoustic Music Analysis Editorial Board member for Organised Sound , Radical Musicology , and Journal of Sonic Studies His research focuses on electroacoustic music’s live performance practices, spatial composition, gender dynamics in electronic music institutions, and machine-human listening symbiosis. He pioneered ‘concert installation’ formats like Aeolian , where looping structures create non-linear temporal experiences. Key publications include foundational texts The Language of Electroacoustic Music (1986), Living Electronic Music (2007), and The Routledge Research Companion to Electronic Music (2018). His AHRC-supported project (2010-2013) produced innovative analysis tools for hybrid genres. Scientific contributions: 2019 Oxford Handbook chapter on imagination in performance 2018 ICLI collaboration on crossadaptive processing 2016 EMAS institutional history analysis 2015 Organised Sound article on machine listening 2007 Living Electronic Music monograph As composer, he has created over 50 electroacoustic works performed at festivals in Paris, Berlin, Lisbon, and Birmingham. His advising includes supervising PhD/Masters students at DMU, though specific names aren’t listed. He maintains active performance presence with concerts in 2020 celebrating his 70th birthday.

• Artificial Intelligence
• Explainable AI
• Computer Vision
• +4 more

Antoni Jaume-i-Capó is a Professor at the Department of Mathematical Sciences and Computer Science (DMI) at the University of the Balearic Islands (UIB) since 2005. He directs the Artificial Intelligence Applications Laboratory (LAIA@UIB) and participates in the Computer Graphics, Vision, and Artificial Intelligence Unit (UGiVIA) under the Health Sciences Research Institute (IUNICS). His educational innovation work is associated with the Educational Research and Innovation Institute (IRIE). Current affiliations: University of the Balearic Islands (UIB) Research leadership: LAIA@UIB, UGiVIA, IUNICS Research Interests: His work focuses on Artificial Intelligence , particularly explainable AI (XAI) systems, Computer Vision , Vision-Based Interfaces , Human-Based Computing , Intelligent Systems for Motor Rehabilitation , and Medical Image Processing . He combines these areas to develop technologies for healthcare diagnostics, rehabilitation, and educational innovation. Recent Article Trends: His publications address sickle cell disease diagnosis through machine learning, XAI fidelity metrics , medical imaging techniques, and vision-based rehabilitation systems. Common themes include human-AI collaboration , medical diagnostics , and educational gamification . Scientific Awards Premio al mejor trabajo JENUI 2010 (Best Paper Award at JENUI 2010) Grants & Projects EXPLAINME (PID2023-149079OB-I00, 2024-2028) People4sicklemia II (OCDS-CUD2017/05, 2017-2018) EXPLAINING (PID2019-104829RA-I00, 2020-2024) European projects: HUMODAN, NEUBIAS, LUDI, EUGAIN Supervision Advised students: Ines Abdennaji, Grethel Coello Said, Natasa Petrovic, et al. Labs & Collaborations LAIA@UIB (Artificial Intelligence Applications Lab) Collaborations: Computer Vision Center (UAB), University of Florida, Rutgers University, Wrexham Glyndwr University

• Computer Engineering
• Software Engineering
• Programming Education
• +6 more

Pedro Hugo De Queirós Alves is an Associate Professor in the Department of Computer Engineering at Universidade Lusófona de Humanidades e Tecnologias, Lisbon, Portugal. He is also a researcher at COPELABS, focusing on software engineering, programming education, and context-aware systems. He previously served as Director of the first-cycle Computer Engineering program. PhD in Computer Engineering and Computers, Instituto Superior Técnico, Universidade de Lisboa (2014) Licenciatura in Computer Engineering and Computers, Instituto Superior Técnico, Universidade de Lisboa (1999) Postgraduate: PAEGI - Advanced Program in Entrepreneurship and Innovation Management His research focuses on automated assessment tools for programming education , integration of large language models in software development , and smartphone-based structural health monitoring . He explores how AI can support, but not replace, student learning in programming, advocating for hybrid human-AI approaches. His work in human-computer interaction includes privacy-preserving social network tools and efficient context-aware messaging systems. His recent publications show a strong trend toward leveraging AI and LLMs in educational technology, particularly in detecting limitations of models like GPT-3.5 and GPT-4 in handling object-oriented programming tasks. He also investigates multimodal learning (diagrams, videos) to reduce student dependency on AI. Earlier work includes context-aware distributed systems and anonymous feedback mechanisms in social networks. Scientific Awards: No awards listed in the provided text. He has advised students in programming education and software development, though specific names are not listed. He developed the Drop Project , an automatic assessment tool for programming assignments. While no grants are explicitly mentioned, his sustained research output suggests active project involvement. His work bridges academia and practical software tools, with applications in education and infrastructure monitoring. He is affiliated with COPELABS, a research lab focused on cognitive and people-centric computing, where he contributes to projects integrating AI, education, and mobile technologies. His future work appears to center on the evolving role of AI in software engineering and education, particularly in fostering responsible and effective human-AI collaboration.

Shanthika NaikView profile

Research Fellow

• Deep Learning
• Geometric Processing
• Neural Garment Simulation
• +5 more

Shanthika Naik is a Senior Research Fellow at IIT Jodhpur, specializing in Deep Learning and Geometric Processing. She holds a Master’s degree from the Center for Visual Information Technology (CVIT) at IIIT Hyderabad and a Bachelor’s in Computer Science from KLE Technological University. Research Focus: 3D garment retargeting, UV parametrization, neural terrain generation, point cloud processing, and clothed human modeling. Key Projects: Self-supervised 3D surface parameterization, physics-based garment deformation frameworks, and interactive terrain authoring tools. Her work often involves interdisciplinary applications of Deep Learning in computational geometry and multimedia systems. She has contributed to publications at SIGGRAPH Asia, IGARSS, and PReMI conferences, focusing on improving accuracy and efficiency in 3D simulations. Shanthika has collaborated with labs including the VCAI lab (MPI Saarland) and 3DVisLab. Her open-source contributions include repositories for FeatureNet and terrain generation frameworks.

• E-learning
• Computer Science Education
• Educational Technology
• +4 more

Janko Žufić, M.Sc.ing, is a Senior Lecturer at the Faculty of Educational Sciences, University of Pula, Croatia. He holds degrees in Electrical Engineering with a major in Automation from the Faculty of Electrical Engineering and Computing (FER) in Zagreb (1993) and pedagogical competences acquired in 2001. A certified computer science professor since 2002, he has dedicated his career to bridging technology and education, with particular emphasis on e-learning systems and computer science education. Employment History: Private sector work (1993-1999), teaching roles in primary/secondary schools (1998-2002), head of IT support at Faculty of Educational Sciences (2002-present), Senior Lecturer since 2007, and part-time teacher at Algebra Group. Research Focus: E-learning optimization, microlearning, educational technology design, programming pedagogy for elementary grades, and human factors in computing. His scholarly work spans 20+ publications, with recent studies exploring ChatGPT's educational implications (2025), video-based microlearning (2024), and gamification in computer science education (2022). He has also contributed to understanding the role of color and typography in digital learning environments (2009-2019). Žufić's practical expertise includes developing Web 2.0 tools for educators (2017), creating three books, and mentoring students in producing approximately 50 films. As an active project manager, he has coordinated two EU-funded initiatives and over 80 smaller projects focused on social and technical sciences, supported by organizations ranging from Zagreb Bank to Croatian employment agencies and Istrian municipalities. His academic rank was last renewed on January 24, 2018, within the field of Information and Communication Sciences, specializing in Information Systems.

Silvia MikschView profile

Professor

• Visual Analytics
• Information Visualization
• Time-Oriented Data Analysis
• +3 more

Prof. Silvia Miksch is a full professor in the Department of Visual Analytics at TU Wien. Her research focuses on visual analytics, time-oriented data visualization, and human-computer interaction. She leads projects in cultural heritage analysis, fraud detection, and pandemic data visualization. Her work bridges computer science with digital humanities, emphasizing user-centric design and uncertainty modeling. Key contributions include guidance systems for VA environments and network visualization frameworks for art history. Affiliations: TU Wien (since 2000+) Research Labs: Network Lab, Visual Analytics Research Group Recent projects explore temporal patterns in artist exhibitions, parameter space exploration, and pandemic data communication. She has advised over 20 PhD/Master’s students, many contributing to VA systems like COVIS and NEVA. Awarded the VGTC Visualization Technical Achievement Award (2024) for foundational work in temporal visualization. Active in IEEE VAST and serves on journal editorial boards. Her labs develop open-source tools for interactive data exploration.