Jelena Gavrilovic is an Associate Professor at Singidunum University, affiliated with the Faculty of Informatics and Computing. Her work bridges computer science with educational technology, focusing on integrating digital tools into mathematics instruction and distance learning systems. Born: June 6, 1983, Valjevo, Serbia Education: Middle Technical PTT School (Electrical Technician, 2002), Faculty of Informatics and Computing (BSc in Programming and Design, 2007; MSc in Contemporary Information Technologies, 2011), Singidunum University (PhD in Advanced Protection Systems, 2022) Her research explores: Educational software for mathematics and distance learning Forensics of unmanned aerial vehicles (UAVs) and robotics Adaptive algorithms and optimization methods in signal processing Biometric key generation systems Recent publications analyze trends in UAV forensics, mobile robot path planning using artificial bee colony algorithms, and healthcare technology optimization. She collaborates on studies involving data analysis, cybersecurity, and interactive pedagogy, often applying computational methods to educational challenges. Her career spans over 20 years, with early work on pedagogical research and evolving contributions to IT in education and robotics.
Dr. Joseph Martinelli serves as a Senior Faculty Associate in the Department of Educational Studies at Seton Hall University's College of Human Development, Culture, and Media. With a tenure dating back to 2001, he has held significant administrative roles including Interim Dean of the College of Education and Human Services (2021-2023), Associate Dean for Academic Affairs, and Department Chair. His teaching spans the Instructional Design program, Education Leadership, Communication Arts, and the University Core curriculum. His academic credentials include: Ed.D. in Educational Leadership from Seton Hall University (2008), dissertation: "An Examination of the Impact of Attending an Electronic Technology Rich Program on the Teaching Styles of Senior Student Teachers" Master of Sports Science from Indiana University of Pennsylvania (1983) Bachelor's degree in Communication with a minor in English Dr. Martinelli's research centers on innovative applications of technology in education. Key areas include: Educational Technology and Digital Media Artificial Intelligence in Educational Settings Digital Storytelling and Podcasting Electronic Gaming and STEAM Education Assistive Technology and Literacy Integration Multimedia Design and Effective Communication His publication record from 2006-2010 demonstrates a strong emphasis on integrating Web 2.0 tools, social media, and gaming into diverse educational contexts. Notable trends include the application of smartphones and Twitter in coursework, digital storytelling for science education, and ePortfolio systems for assessment. His work bridges theoretical frameworks with practical classroom strategies across K-12 and higher education. No scientific awards or major honors were documented in the provided information. As Program Director for the nationally accredited School Library Media Specialist program within Instructional Design, Dr. Martinelli has shaped graduate curriculum and supervised program development. His administrative experience encompasses managing certification processes, clinical experiences, and academic contracts, though specific grant funding details are not mentioned. There is no reference to dedicated research laboratories or specialized teams in the available materials.
Eberhard Hasche serves as a Professor at the Department of Computer Science and Media, Brandenburg University of Technology, with his office located in Building B, Room B.1.10 at Magdeburger Straße 50, 14770 Brandenburg an der Havel. His contact details, including telephone (+49 3381 355 - 465) and email, confirm active institutional affiliation. His research centers on Digital Media , specializing in computational techniques for audio and video processing . This encompasses algorithmic analysis, manipulation, and synthesis of multimedia content, with applications in modern digital systems. The interdisciplinary nature of his work bridges computer science fundamentals with practical media engineering challenges.
Michael Hoeding is a Professor at the Brandenburg University of Technology in the Department of Economics . With expertise in network-based applications for commerce and electronic business, his work bridges databases, telecommunications, and enterprise systems. Specialization in database integration and legacy system modernization Key contributions to service-oriented architectures , XML , and SAP ERP optimization Focus on data warehousing (SAP-BI/SAP-BW) and wiki technology for knowledge management His research explores multimedia techniques in training and marketing, Oracle administration , and flash storage applications in database systems. He received the Forschungspreis (research award) from Otto-von-Guericke University Magdeburg in 1998. Notable recent work includes mobile learning applications , single-page website design , and Android development frameworks . His publications span topics from context-based querying to cooperative information systems , reflecting 25+ years of interdisciplinary research. Scientific Awards : Forschungspreis (1998) Grants : Research funding through Fraunhofer Institute participation Teaching : Courses in database systems , software engineering , and mobile applications
Rainer Lienhart is a tenured Professor at the University of Augsburg, where he holds the Chair for Machine Learning & Computer Vision within the Faculty of Applied Computer Science's Institute of Computer Science. He has served as the executive director of the Institute for Computer Science since April 2010. His research group, the Machine Learning and Computer Vision Lab (MLCV Lab), focuses on large-scale image, video, human pose, sensor and data mining algorithms; object, human pose and action detection/recognition; and image, video, human pose and action retrieval. Dr. Lienhart received his PhD in Computer Science from the University of Mannheim, Germany in 1998. Prior to joining the University of Augsburg, he worked as a Staff Researcher at Intel's Microprocessor Research Lab in Santa Clara, California from August 1998 to July 2004. He has also taken sabbaticals at FXPAL (August 2017 to March 2018) and Willow Garage (2009). His research spans multiple areas of computer vision and machine learning with particular emphasis on object detection/recognition, human pose estimation, image/video captioning, automated visual inspection, medical image analysis, deep learning, statistical computing, and explainable AI. His work on multimedia data mining and signal processing has led to significant contributions in video content analysis, including text detection/recognition, commercial detection, face detection, shot and scene detection, and automatic video abstraction. The publication record shows a consistent research trajectory focusing on human pose estimation, winter sports analysis, scene graph generation, and segmentation techniques, with recent work emphasizing transformer-based architectures, 3D pose estimation, and physics-informed computer vision approaches. His research demonstrates a strong interdisciplinary focus, connecting computer vision with sports science, medical applications, and multimedia content analysis. Prof. Lienhart has served as general co-chair of ACM Multimedia 2017 and 2007, as well as SPIE Storage and Retrieval of Media Databases 2004 and 2005. He has served on editorial boards of three international journals and was vice chair of SIGMM from July 2009 to June 2017. His professional service includes committee membership for major conferences including ACM Multimedia, IEEE ICME, and SPIE Storage and Retrieval of Media Databases. His laboratory, the MLCV Lab, maintains an active research program with numerous collaborators and students working on cutting-edge computer vision problems. Current research directions include human pose estimation in sports contexts, winter sports equipment segmentation, scene graph generation, and medical image analysis applications.
Narvika Bovcon is a Full Professor at the Faculty of Computer and Information Science, specializing in video and new media art. Since 2016, she has served as editor-in-chief of the journal Art Words and has authored numerous new media art projects and exhibitions. Her academic activities include teaching courses such as Introduction to Graphics Design, Graphic Design, and Multimedia Content. Research Focus: Bovcon's work explores interdisciplinary intersections of technology and art, with emphasis on: Digital animation and mixed reality applications User interface design for cultural heritage Augmented reality in fine arts and literature Digital preservation methodologies Computational approaches to visual communications Publication Trends: Her recent scholarly output (2013-2021) demonstrates strong focus on digital heritage preservation, augmented reality implementations in cultural contexts, computational analysis of art, and educational applications of interactive media. Works frequently employ case studies and technical evaluations within Slovenian cultural frameworks. Research Projects: P2-0214 Computer Vision (ARRS, 2019-2024) - Core research programme J7-3158 Sustainable digital preservation of Slovenian new-media art (ARRS, 2021-2024) ŠIPK 2 Cultural Heritage documentation using new technologies (Structural Funds, 2018) PKP 1 Interactive computer installation integration (Structural Funds, 2014) Laboratory Affiliation: Active member of the Computer Vision Laboratory at the Faculty of Computer and Information Science, contributing to technical-artistic research initiatives.
Alenka Kavčič is an Assistant Professor at the Faculty of Computer and Information Science, University of Ljubljana, and a core member of the Laboratory for Computer Graphics and Multimedia. Her work integrates multimedia technologies, human-computer interaction, and computer graphics with applications in education, cultural heritage, and biodiversity monitoring. Her research spans Educational Technology , Multimedia Systems , and Human-Computer Interaction , with emphasis on self-regulated learning in digital environments, music information retrieval for ethnomusicology, and accessibility solutions for the visually impaired. She investigates agile development methodologies in educational software and vibrational communication in ecological contexts. Recent publications (2022-2004) reveal consistent focus on adaptive educational technologies, including self-regulation scaffolding, hypertext-based science learning, and fuzzy logic for user modeling. Her work bridges theoretical frameworks with practical applications in e-learning standards and engineering education. Dr. Kavčič has secured diverse research funding: National ARRS projects: MULTI-MON (biodiversity monitoring, 2023-2026), Vibroscape (vibrational communication, 2021-2024), J5-9437 (self-regulated e-learning), and J7-9426 (computational folklore) European projects: MiCREATE (migrant children, 2019-2021), CREA (entrepreneurship, 2015-2017), ASPECT (educational standards, 2008-2011) Structural Funds projects: ZaznajSpoznaj (accessibility for visually impaired, 2014-2015), NA-MA POTI (science literacy, 2016-2022), eEksperimenti (natural sciences teaching, 2015) As part of the Laboratory for Computer Graphics and Multimedia, she contributes to R&D in audio processing, VR/AR applications, medical imaging, and open data visualization, developing cross-platform software solutions for desktop, mobile, and cloud environments.
Shangfei Wang is a full Professor at the School of Computer Science and Technology, University of Science and Technology of China (USTC). His research focuses on pattern recognition, affective computing, and probabilistic graphical models, with significant contributions to facial expression analysis, emotion recognition, and multimodal human-robot interaction. He leads the Key Laboratory of Computing and Communication Software of Anhui Province and has received multiple international competition awards including placements in the OMG Empathy Prediction Challenge and Detecting Depression with AI Sub-Challenge. PhD in Computer Science, USTC (2002) MSc in Electronic Science and Technology, USTC (1999) BSc in Electronic Engineering, Anhui University (1996) His work combines domain knowledge with advanced machine learning techniques, including adversarial learning, dual learning, and multimodal deep regression Bayesian networks. Research themes include: Emotion-aware medical consultation systems Thermal image-based facial recognition Privileged information learning for emotion detection Spontaneous vs. posed expression differentiation EEG and physiological signal integration AI applications in mental health support Key projects include multiple National Nature Science Foundation of China grants and international collaborations with French institutions. He serves as Associate Editor for IEEE Trans. on Affective Computing and ACM Trans. on Multimedia Computing, and organized several international conference tracks.
Erkan Bülbül serves as a Lecturer in the Computer Technologies Department at Gaziantep University's Technical Sciences Vocational School since 2014. His work focuses on advancing educational technology infrastructure, particularly within medical education contexts through e-learning systems and simulation-based training solutions. He holds a Master of Science in Management Information Systems (non-thesis) from Hoca Ahmet Yesevi International Turkish-Kazakh University, completed between 2011 and 2013. Bülbül's research centers on educational technology applications in medical education, with specific expertise in blended learning models, MOOC implementation, and electronic assessment systems. His work addresses critical challenges in distance learning during pandemics and develops infrastructure for simulation labs and objective structured clinical examinations. He investigates water conservation behaviors among medical students and communication skills training effectiveness, bridging environmental science with healthcare education. Analysis of his nine publications (2012-2022) reveals consistent focus on medical education technology evolution. Key trends include pandemic-driven distance education innovations, accreditation process optimization, and electronic examination system development. His recent work emphasizes simulation module integration and infrastructure modernization for medical training environments. As a researcher, Bülbül has contributed to seven funded projects including computer laboratory development, simulation lab establishment, and electronic examination systems at Gaziantep University Faculty of Medicine. These initiatives span national projects and international Erasmus+ collaborations focused on disability awareness curriculum development. He plays a pivotal role in modernizing Gaziantep University's educational infrastructure through simulation modules and electronic assessment tools. His current projects enhance Objective Structured Clinical Examination (OSCE) systems and develop advanced training environments for medical students, directly supporting curriculum modernization in healthcare education.
Lukas Maximilian Günther is a Research Fellow at the Department of Mathematics Education within the Faculty of Mathematics and Physics at Leibniz University Hannover. His work bridges mathematics education and theater pedagogy, with a focus on transformative educational processes during critical transitions in learning. His educational background includes a dissertation titled Crises in Transition: The Transition to University Mathematics from a Transformational Educational Science Perspective , completed under the supervision of Reinhard Hochmuth and published in May 2025. This foundational work established his theoretical framework connecting Bourdieu, Lacan, and transformative education theory to mathematical learning transitions. Mathematics Education Research: Focused on the transition from school to university mathematics as a crisis-rich transformative process Theater Pedagogy: Explores role theory, movement choreography, and performative methods as educational tools Transformative Theory: Applies socio-cultural perspectives to understand educational crises and transitions Interdisciplinary Approach: Connects mathematical enculturation with theatrical and performative learning methods Analyzing Günther's publication trajectory from 2020-2025 reveals a distinctive interdisciplinary research path that increasingly integrates mathematics education with theater pedagogy. His early work focused primarily on mathematics transition challenges, while recent publications demonstrate a sophisticated synthesis of transformative education theory with performative methods. This evolution shows a researcher who has developed a unique theoretical framework connecting mathematical enculturation with theatrical approaches to learning, particularly examining how crises in educational transitions can be addressed through embodied and performative practices. Günther's work demonstrates significant contributions to both mathematics education and theater pedagogy through his theoretical integration of transformative education concepts with practical classroom applications. His research provides valuable insights into how students navigate the challenging transition to university mathematics and how theatrical methods can facilitate transformative learning experiences. His research activities include qualitative longitudinal studies examining student trajectories in mathematics-related degree programs, development of analysis frameworks for informal learning situations in mathematics studies, and exploration of role work in theater pedagogical processes. Günther collaborates extensively with colleagues at Leibniz University Hannover and other institutions, contributing to conference proceedings and professional journals in both mathematics education and theater pedagogy fields.
Amaël Arguel is an Associate Professor of Cognitive Psychology and Ergonomics at Université Toulouse - Jean Jaurès, where he is affiliated with the Cognition, Languages, Ergonomics (CLLE) research laboratory. He teaches cognitive psychology, experimental methodology, statistics, epistemology, and ethics and scientific integrity, and serves as Co-head of UE503 (Cognitive Psychology, Year 3). Dr. Arguel completed his PhD in Cognitive Psychology at the University of Rennes in 2009, then worked in Australia at Macquarie University, University of New South Wales, Science of Learning Research Centre, and University of Technology Sydney before returning to France in 2019. His research focuses on cognitive processes of complex learning in computer environments, cognitive ergonomics of multimedia interfaces, the role of emotions in learning and decision-making, analysis of learning traces in digital environments (Learning Analytics), and medical informatics and online patient support. His work frequently examines epistemic emotions, particularly confusion, and how they impact learning outcomes in digital environments. Dr. Arguel has published extensively on topics related to digital learning, with recent work exploring how students evaluate video content, procedural learning in mixed reality environments, and gamification applications in transportation. His research employs both experimental and observational methods to understand how digital environments can be optimized for effective learning. Among his notable contributions are the development of methods for detecting learners' confusion through activity analytics and eye tracking, and investigations into how emotional states influence complex learning processes. Professional Experience: 2019-present: Associate Professor, Université Toulouse - Jean Jaurès 2018-2019: Research Officer, University of Technology Sydney 2014-2018: Research Associate, Macquarie University Education: 1999-2009: PhD in Experimental Psychology, University of Rennes 2
Zixing Shen is a Professor in the Department of Management at the College of Business, New Mexico State University, specializing in the intersection of educational technology, artificial intelligence applications, and learning sciences. She holds a Ph.D. in Management from Case Western Reserve University and maintains active research in digital learning environments and AI-driven educational solutions. Educational Background: Ph.D. in Management, Case Western Reserve University, Cleveland, OH, USA Her research program focuses on problem-based learning (PBL) methodologies, visual cueing effects in educational videos, and AI applications in healthcare management. Key investigations include how hybrid PBL models enhance learning outcomes, the cognitive mechanisms behind social media engagement with educational content, and systematic analyses of AI in project management optimization. Current work examines temporal experiences in technology-mediated healthcare settings and YouTube's role in informal learning ecosystems. Publication analysis (2019-2023) reveals three dominant research trajectories: (1) Hybrid PBL design and assessment across disciplines, (2) AI integration in healthcare and business processes, and (3) Social media engagement metrics for educational video content. The work consistently employs empirical methods to evaluate technology-enhanced learning interventions with practical applications in higher education and medical training. Editorial Contributions: Assistant Specialty Chief Editor for Higher Education, Frontiers in Education Topic Editor for "Enhancing Learning with Online Educational Videos in the Web 2.0 Era: Learner Engagement, Learning Processes and Outcomes", Frontiers Scientific Awards: No awards documented in current information sources. Advising and Grants: Student mentorship details and research funding information are not specified in available materials, though editorial roles indicate significant scholarly leadership. Research Infrastructure: While specific laboratories aren't described, the publication pattern suggests collaboration with interdisciplinary teams in educational technology and healthcare informatics through institutional partnerships.
Dr. Xiusheng (Harrison) Yang is a Professor in the Department of Natural Resources and the Environment at the University of Connecticut. He also serves as the Director of the Connecticut State Climate Center (CSCC) and has held the role of Connecticut State Climatologist since 1999. His research spans natural resources engineering, urban agriculture, and environmental modeling. Education: PhD in Agricultural Engineering, Ohio State University (1988) MS in Agricultural Engineering, Cornell University (1985) BS in Agricultural Mechanization, China Agricultural University (1982) Dr. Yang’s research focuses on natural resources engineering , multimedia transport processes , and atmospheric-hydrologic-ecologic interactions . He pioneered GREENBOX technology , a controlled environment agriculture system for urban food production, and has contributed to bioenergy, watershed management, and soil science. His recent publications highlight advancements in hydroponic systems , urban agriculture feasibility , and sediment transport modeling . These works emphasize sustainable solutions for food production, water quality, and ecosystem restoration. Scientific Awards: Recipient of professional and institutional awards for research and services Dr. Yang teaches undergraduate and graduate courses in meteorology, climatology, environmental data analysis, and research methods. Synergistic activities include co-chairing the Connecticut Conference on Natural Resources, founding the Chinese American Professors Association in Connecticut, and organizing international forums on ecosystem and water resources.
Dr. John See Su Yang is an Associate Professor at Heriot-Watt University's School of Mathematical and Computer Sciences, Malaysia Campus. He serves as Programme Director for BSc Computing Science and leads the Multimedia Data Analysis (MuDA) Lab. Previously, he was a Senior Lecturer at Multimedia University and founded the Visual Processing (ViPr) Lab, and served as a Visiting Research Fellow at Shanghai Jiao Tong University from 2017-2019. Received Bachelor, Masters, and PhD degrees from Multimedia University Published over 140 articles in top journals and conferences including IEEE T-PAMI, CVPR, and NeurIPS Secured over MYR 3 million in research funding as PI/Co-PI Dr. See's research spans multimedia signal processing and computer vision with particular focus on affect and emotion understanding from images and videos. His work includes facial micro-expression analysis, image aesthetics, visual surveillance tasks, activity recognition, and classical image/video processing algorithms. His research has practical applications in micro-expression detection, human-robot interaction, and multimodal content generation. His recent publications (2023-2025) demonstrate strong activity in wind turbine blade inspection using UAVs, micro-expression analysis networks, drowsiness detection, and human-robot interaction. His work bridges theoretical computer vision advances with practical applications in renewable energy, transportation safety, and human-computer interaction. Best Reviewer Award, IEEE ICIP 2020 Outstanding Reviewer Award, CVPR 2021 Dr. See actively mentors PhD students and serves on editorial boards for Signal Processing (as Subject Editor), IEEE Transactions on Multimedia, and several other prestigious journals. He is a Senior Member of IEEE and has served on technical committees for IEEE Multimedia Systems and Applications and Multimedia Signal Processing. His MuDA Lab collaborates with the Visual Processing Lab at Multimedia University and Shanghai Jiao Tong University, focusing on emotional analysis and multimodal systems for solving real-world problems. Dr. See accepts PhD students for projects on aesthetics and emotion processing in media and new paradigms for understanding human emotions in real-world scenarios.
Jakob Fehle is a Researcher at the Institute for Information and Media, Language and Culture within the Faculty of Language, Literature and Cultural Studies at the University of Regensburg. Appointed as Scientific Staff Member at the Chair of Media Informatics in March 2021, he contributes to research spanning natural language processing and human-computer interaction while maintaining an active teaching schedule. His academic credentials include: Master of Science (M.Sc.) in Media Informatics, University of Regensburg (February 2021), with thesis on lexicon-based sentiment analysis for German Bachelor of Arts (B.A.) in Media Informatics, University of Regensburg (February 2019) Fehle's research centers on Natural Language Processing with specialized expertise in Text Mining and Sentiment Analysis for German-language content. He has pioneered systematic evaluations of lexicon-based methods and developed the GERestaurant dataset for aspect-based sentiment analysis in restaurant reviews. His work bridges computational linguistics with political science through analysis of social media discourse during the 2021 German federal election, while recent publications explore large language models for synthetic data generation and aspect sentiment prediction in low-resource settings. This research trajectory demonstrates consistent evolution from foundational lexicon techniques to cutting-edge transformer applications. Analysis of his 13 publications (2019-2025) reveals a dominant focus on German-language sentiment analysis, with 70% of works examining political discourse on Twitter and Instagram during electoral cycles. His methodological progression shows clear movement from traditional lexicon-based approaches (2019-2021) toward neural architectures (2022-2024) and large language models (2025), while maintaining consistent application to real-world domains including politics, hospitality, and legal contexts. The interdisciplinary nature of his work connects computational linguistics with political science, game design, and affective computing. As an educator, Fehle has taught Human-Computer Interaction exercises continuously since Summer 2021, alongside Multimedia Technology and Digital Humanities courses. His teaching portfolio demonstrates progressive responsibility, evolving from exercise sessions to co-leading Master's practical seminars across eight consecutive semesters. He maintains office hours by appointment in Building PT, Room 3.0.30 at the University of Regensburg. Fehle operates within the Media Informatics research group under Prof. Dr. Christian Wolff, collaborating extensively with Nils Hellwig, Thomas Schmidt, and Markus Bink. His work integrates with broader projects analyzing social media during German elections and developing adaptive systems for gaming and virtual reality environments.
