Francisco J. Andújar Muñoz is an Associate Professor at the University of Valladolid in the Department of Computer Science since January 2024. His career spans multiple institutions including Universidad de Castilla-La Mancha (2008-2015) and Universitat Politècnica de València (2017-2018), with academic roles ranging from Research Assistant to Juan de la Cierva Formación Researcher. PhD in Advanced Computer Science Technologies (2011-2015) MsC in Advanced Computer Science Technologies (2010-2011) Computer Science Engineering (2008-2010) Computer Science Technical Engineering (2004-2008) His research focuses on high-performance interconnection networks , with significant contributions to quality-of-service mechanisms, energy-efficient network topologies, and heterogeneous programming optimization. He maintains the open-source VEF Traces framework for network workload modeling. Recent publications (2023-2025) demonstrate expertise in FPGA high-level synthesis portability, SYCL-based GPU optimization, and machine learning applications for Twitch streaming analysis. His work combines theoretical network design with practical implementations in the Journal of Supercomputing and IEEE Transactions on Computers .
Christos Kaklamanis is a Full Professor and Chair of the Department of Computer Engineering and Informatics at the University of Patras, Greece, with significant leadership roles including President of Computer Technology Institute & Press "Diophantus" (CTI) from 2016-2021. His academic career includes serving as Vice-Chair of the Department (2009-2011 and 2003-2005) and Director of the Division of Applications and Foundations of Computer Science (1997-2003). Dr. Kaklamanis earned his S.B. in Computer Science and Engineering from MIT (1986), followed by S.M. (1989) and Ph.D. (1992) from Harvard University. He completed postdoctoral work at DIMACS (Center for Discrete Mathematics and Theoretical Computer Science) and worked as a research consultant for NEC Research Institute, Princeton. His research spans theoretical and applied computer science with expertise in algorithm design, computational complexity, communication networks, parallel and distributed computing, and algorithmic game theory. He has made significant contributions to network algorithms, particularly in optical networks and wireless communication, with recent expansion into computational social choice and educational technology applications. His work bridges theoretical foundations with practical implementations, especially in developing educational tools that make complex algorithms accessible. Analysis of his publication history reveals an evolution from foundational algorithm research toward practical applications of theoretical concepts, particularly in educational technology and community-oriented computing solutions. His recent work focuses on creating web and mobile applications that address real-world challenges in campus management, cultural tourism, and community engagement while maintaining strong theoretical underpinnings. Elected member of EATCS council (2009-2021) Active in ACM, IEEE, SIAM, and Technical Chamber of Greece Program Committee Chair for WAOA (Workshop on Approximation and Online Algorithms) Conference co-chair for ICALP (International Colloquium on Automata, Languages and Programming) As an educator, Dr. Kaklamanis has taught core courses including Theory of Computation, Parallel Algorithms, Communication Algorithms, and Cryptography. He has led major research initiatives including EU-FET projects CRESCCO and AEOLUS (as coordinator), EU-ICT Project EULER, and the "DIGITAL SCHOOL" project focused on national educational platforms. His leadership extends to directing research laboratories in Combinatorial Algorithms, Distributed Systems and Telematics, and Pattern Recognition. His current work continues to bridge theoretical computer science with practical applications, particularly in educational technology, with numerous recent publications focused on developing interactive learning tools and platforms that leverage algorithmic principles for educational and community benefit.
Daniel Jorge Viegas Gonçalves is a Full Professor at the Department of Computer Science and Engineering, Instituto Superior Técnico (School of Engineering, University of Lisboa), and a researcher at INESC-ID. His primary research areas include Information Visualization, Human-Computer Interaction, Gamification, and Accessibility. University: University of Lisboa School: School of Engineering Department: Computer Science and Engineering Department Academic Rank: Full Professor Research Interests focus on applying Information Visualization to Personal Information Management, Gamification in education and agile systems, and enhancing accessibility for users with disabilities. He explores how personality traits (e.g., conscientiousness) affect visualization preferences and decision-making. Recent Articles highlight trends in immersive visualization for civil engineering, incidental/ambient data display, gamified learning platforms, and machine learning applications in healthcare. His work bridges cognitive psychology with technical visualization challenges. Scientific Awards : Best Paper Award at ICGI2021 for 'Evaluating Transitions for Streaming Big Data' Students include PhD graduate Gabriel Barata (Suma Cum Laude) and ongoing advisees like Amir Hossein Nabizadeh and João Moreira . He has mentored research on gamification, visualization, and accessibility. Labs & Teams : Affiliated with INESC-ID's Intelligent Multimodal Interfaces and Visualization Group, advancing projects like LIFE Format (lifelogging data) and PAELife (gesture interaction for seniors).
Dr. Yvonne Costin is a Lecturer in Entrepreneurship at the University of Limerick's Department of Management & Marketing. Her work spans teaching and research in entrepreneurship, with a focus on gender dynamics, educational pedagogies, and third-age entrepreneurial initiatives. She collaborates extensively with the Institute of Equine Science, Faculty of Science and Engineering, and the Irish Academy of World Music and Dance. MSc in Software Engineering and Entrepreneurship Bachelor of Business Studies (Entrepreneurship Minor) Institute of Equine Science Moderator Research interests include female entrepreneurship , factors influencing small firm growth , and the integration of entrepreneurship education across primary, secondary, and tertiary levels. She also explores third-age entrepreneurship and sustainable development through gamification. Recent publications highlight her dedication to responsible management learning via international experiential programs, gender disparities in STEM entrepreneurship , and SDG-aligned gamified education . Her cross-disciplinary collaborations emphasize bridging research-commercialization gaps. Emerald Literati Network Awards for Excellence (2012) Member, Institute of Small Business and Entrepreneurship Member, Ireland's Network of Teachers and Researchers of Entrepreneurship Her industry experience with SMEs through The Marketing Centre for Small Business informs her research on female-owned firm growth and entrepreneurial education frameworks . She advocates for experiential learning and interdisciplinary curriculum design.
Christian Zinke is a researcher at the Business Information Systems (BIS) department of the Institute of Computer Science, University of Leipzig . He contributes to the Competence Center Digital Service Systems and leads research in interdisciplinary projects. Research Areas: Service Engineering, Ontology Engineering, Semantic Web, Software Architecture, Gamification, Data Protection. Projects: EU Data:Bio (data-driven bioeconomy), SO-SERVE (social service engineering in elderly care), MSOE-Net (service-oriented hybrid systems), ROUTIS (roundtrip innovation), PDLM (product-service lifecycle management). His work integrates Smart Services and Industry 4.0 concepts, focusing on simulation, visualization, and agile planning tools for SMEs and bioeconomy sectors.
Arif Tanju Erdem serves as Professor of Computer Science and Vice Rector for Academic Affairs at Ozyegin University, Istanbul. He joined the university in 2009 after 18 years at Eastman Kodak Research Laboratories and as CTO of Momentum, A.S., a digital media technologies company he co-founded. His leadership roles include Dean of the School of Engineering (2014-2018) and Head of Computer Science Department (2012-2014). His academic credentials feature: Ph.D. in Electrical Engineering, University of Rochester (1990) M.S. in Electrical Engineering, University of Rochester (1988) Dual B.S. degrees in Electrical & Electronics Engineering and Physics, Boğaziçi University (1986) Erdem's research centers on digital video processing and computer graphics with expanding applications in computer vision and machine learning. His foundational work in bispectrum analysis and video compression evolved into modern applications including face recognition systems, augmented reality tracking, and sensor fusion. Current investigations focus on overcoming data labeling challenges in biometric systems and developing robust motion tracking solutions for immersive technologies. Analysis of his recent publications (2012-2023) reveals three dominant research trajectories: (1) Advancements in face recognition using curriculum and semi-supervised learning techniques, (2) Precision sensor fusion for augmented reality through IMU-camera calibration and occlusion handling, and (3) Educational technology innovations through gamified learning systems. His work consistently bridges theoretical signal processing with practical implementations in medical monitoring, entertainment, and education. Professional service highlights include ISO-MPEG committee membership (1991-1998), IEEE Signal Processing Society leadership roles across Rochester, Turkey, and Region 8 chapters, and editorial contributions to Signal Processing: Image Communication. He has organized major conferences including the 3DTV Conference (2011) and IEEE Turkey Signal Processing Conference (2012).
Juan Carlos Vidal Aguiar serves as an Associate Professor in the Department of Electronics and Computer Science at the University of Santiago de Compostela, Spain. With extensive experience in academic research and teaching, he has established himself as a prominent figure in process mining and business intelligence applications. His work bridges theoretical computer science with practical implementations across healthcare and educational domains. Dr. Vidal Aguiar earned his Bachelor Engineering degree in Computer Science from the University of La Coruña in 2000, followed by several years working as a senior IT consultant. He completed his PhD at the University of Santiago de Compostela in 2010, where he has remained as faculty since. His academic journey reflects a trajectory from foundational computer science toward specialized applications in process analytics. His research interests focus on knowledge discovery, semantic annotation, semantic modeling of workflows and services, and the application of artificial intelligence for business intelligence . Recent work demonstrates significant evolution toward healthcare applications, particularly in cardiac rehabilitation and glucose monitoring, while maintaining strong foundations in process mining techniques. His publications reveal a clear progression from theoretical workflow modeling to practical AI-driven business process solutions with real-world impact. Analysis of his publication trends shows increasing specialization in predictive process monitoring with deep learning approaches, particularly evident in his 2023-2025 work. His research spans both theoretical contributions in kernel methods and biclustering algorithms, and practical implementations like the VERONA Python library for benchmarking. The interdisciplinary nature of his work is particularly notable in healthcare applications where process mining techniques are adapted for medical contexts. Dr. Vidal Aguiar leads multiple significant research initiatives including Predictive monitoring and causality for cardiac rehabilitation, Responsible AI for Process Mining 2.0, GAMification techniques for entrepreneurial teacher development, and Soft computing for gamification analytics in cardiac rehabilitation . These projects demonstrate his ability to secure research funding across diverse domains while maintaining a cohesive research vision centered on process analytics. His research ecosystem includes collaborations with numerous colleagues including Manuel Lama, Pedro Gamallo-Fernandez, and Marcos Matabuena across various projects. The SoftLearn platform represents one of his notable contributions to educational technology, applying soft computing techniques to process mining in e-learning contexts. His work consistently bridges academic research with practical implementations that address real organizational challenges.
Dr. Lubna Ali is a Researcher at the Teaching and Research Area Computer Science 9 (Learning Technologies) within the Department of Computer Science at RWTH Aachen University, Germany. Based at the Informatikzentrum (Ahornstraße 55, Aachen), she contributes to the Learning Technologies Lab (LTI Lab) under Prof. Dr. Ulrik Schroeder's leadership. Her work focuses on advancing Open Educational Resources (OER) through technological innovation and practical implementation in educational contexts. Dr. Ali's research centers on OER conversion tools, quality assurance frameworks, and digital learning solutions. She pioneered the convOERter system for semi-automatic conversion of educational materials, developed evaluation methodologies for OER tools, and designed educational games to facilitate OER adoption. Her work spans higher education and secondary school settings, addressing challenges in OER integration, teacher training, and multimedia resource quality assessment. Her publication trajectory (2018-2025) reveals consistent innovation in OER technologies, with emphasis on automating conversion processes, establishing quality metrics, and creating user-centered tools. Key contributions include comparative analyses of manual versus automated OER conversion, evaluation systems for tracking tool usage, and frameworks for OER practice in online workshops. Scientific Awards: No awards documented in available sources. Dr. Ali has supervised eight theses at RWTH Aachen University: Muhammad Waseem Khalid - Master Thesis (2025): Quality assurance model for convOERter Thea Schmitz - Bachelor Thesis (2023): OER module for secondary education via web application Deekshith Radhakrishna Shetty - Master Thesis (2023): Evaluation system for convOERter Vu Nhat Quang Phung - Bachelor Thesis (2022): OER cycle framework using digital games Patrick Aufdermauer - Bachelor Thesis (2022): Web-based media analysis tool Majd Al Kayyal - Bachelor Thesis (2021): Mobile application for OER perception Faraji Abdolali - Master Thesis (2021): Quality evaluation model for OER repositories Vu Tuan Tran - Bachelor Thesis (2021): OER editing framework for online workshops As a core member of the LTI Lab, Dr. Ali collaborates on projects developing OER conversion tools, educational games, and teacher training initiatives. The lab operates within RWTH Aachen's Computer Science ecosystem, focusing on practical applications of learning technologies in real-world educational settings.
Prof. Dr. Michael Wahl is a Professor for Rehabilitation Technology and New Media at the Institute of Rehabilitation Sciences , Humboldt University of Berlin. His work bridges neurology , speech therapy , and digital innovation , focusing on augmentative and alternative communication (AAC) and rehabilitation robotics . Education: Dr. phil. (2007), Clinical Linguist (BKL) certification, ISAAC Basic Certificate in AAC Key Research: Digital media in rehabilitation, teletherapy, AAC implementation, stroke recovery, Parkinson’s disease, eye movement analysis for reading disorders Awards: No explicit awards mentioned Recent Publications: Focus on digital inclusion , robot-assisted therapy , and user-centered design in rehabilitation technologies Teaching: Lecturer at University of Potsdam and German Federal Association for Academic Speech Therapy
Pierre-Majorique Léger is a Full Professor at the Department of Information Technology , HEC Montréal. He serves as Director of the ERPsim Laboratory , Co-Director of Tech3Lab , and holds the Chair in User Experience IVADO . His research focuses on User Experience (UX) , Human-Computer Interaction , Human-Centered AI , NeuroIS , and Serious Games for Learning . M.Sc.A. (Industrial Engineering), Polytechnique Montréal Ph.D. (Electrical Engineering), Polytechnique Montréal Postdoctoral Fellowship (Information Technology), HEC Montréal His research interests combine neuroscience with information systems, examining: Cognitive load measurement in digital environments Human-AI collaboration dynamics Neuroadaptive interfaces User behavior in e-commerce Technostress mitigation UX evaluation in VR/AR Recent research trends show: Systematic reviews on AI ethics in industry/education Neurophysiological studies using EEG/fNIRS Experiments on multimodal interfaces Gamification effectiveness analysis Scientific Awards : IVADO Chair in User Experience Grand Prix de recherche (2024) Multiple best paper nominations (2020-2022) Advising & Grants : Directed 3 PhD theses and 74 MSc theses (2020-2025) Secured funding for ERPsim Lab's $2M research grant Collaborated with Tech3Lab on international projects Laboratories : Co-Director, Tech3Lab Director, ERPsim Laboratory IVADO-affiliated researcher
MEHMET CAN ŞAHİN serves as Assistant Professor and current Head of Department (since 2020) in the Computer and Educational Technologies Education Department at Cukurova University's Faculty of Education. With continuous service since 2010 and prior research assistant roles at both Cukurova and Anadolu Universities, his career demonstrates deep institutional commitment and progressive leadership including Deputy Head of Department (2014-2020). His academic foundation includes: Doctorate (2005-2010) in Computer and Educational Technologies Education from Anadolu University Postgraduate (2002-2005) in same field from Cukurova University Undergraduate (1994-1999) in Computer Education from Middle East Technical University Dr. Şahin's research centers on Educational Technology and Computer Education, with significant contributions to gamification, interactive media design, and Science-Technology-Society intersections. His work critically examines technology integration across educational levels—from preschool tablet applications to higher education academic integrity—while addressing rural-urban disparities and teacher training challenges. Methodologically, he employs mixed approaches including scale development, comparative studies, and qualitative classroom analysis. Publication analysis reveals consistent focus on practical educational technology implementation, particularly measuring impacts of gamification, interactive whiteboards, and emerging tools like VR. His work bridges theoretical frameworks (e.g., OECD's New Millennium Learners) with measurable classroom outcomes, emphasizing contextual adaptation in Turkish and global settings. As thesis advisor for master's research on programming education and principal investigator for the 2013-2014 tablet integration project in preschools, he demonstrates applied research leadership. He further contributes through editorial service on Cukurova University's Faculty of Education Journal Publication Committee since 2010 and teaching graduate courses in Gamification and Instructional Technologies.
Dr.-Ing. Alireza Abbasimoshaei is a postdoctoral researcher at the Hamburg University of Technology (TUHH), affiliated with the Institute of Mechatronics in Mechanical Engineering (M-4) . His work focuses on robotics, haptics, and rehabilitation engineering. Current role: Research Fellow at TUHH Past roles: Visiting scientist at TU Braunschweig; Doctoral student at Tarbiat Modares University Education: Master's in Mechanical Engineering (University of Tehran); Bachelor's in Mechanical Engineering (Mazandaran University) Research Interests : Specializing in robotics , haptics , and rehabilitation engineering , his work bridges advanced robotic systems with practical applications in telerehabilitation, telemedicine, and assistive technologies. Key areas include: Wearable robotic devices Cloud-based control systems Immersive virtual rehabilitation environments Intelligent control strategies DevOps/Cloud development Publications & Research Trends : With over 30 peer-reviewed publications, his work spans tactile interaction optimization, sensor integration, and control system development. Recurring themes include haptic feedback mechanisms, AI-driven rehabilitation systems, and wearable PCB implementations. Scientific Awards : First place in Iranian World Robot Olympiad Elite Awards from National Elite Foundation of Iran Secured BMBF and DFG funding Social Innovation Award (Hamburg Maker Challenge) Hamburg Teaching Award for hybrid lectures Teaching & Mentorship : Lecturer in courses like Applied Mechatronic Design Methodology and Haptic Technologies , he has supervised over 40 students in projects ranging from Ultrasound haptic devices Eye-tracking control systems Whisker sensor development Exoskeleton design Labs & Projects : Co-developer of TUHH's Haptics Lab and the VRobotia educational robotics platform.
Zöhre SERTTAŞ is a Lecturer in the Department of Computer Information Systems at Near East University, Northern Cyprus, with contact details zohre.serttas@neu.edu.tr and +90 (392) 223 64 64. Her research focuses on transformative educational technologies, particularly: AI-driven immersive e-learning environments Metaverse-based educational paradigms Gamification and digital game development Mobile applications for special education and elderly/disabled users Cloud forensics and digital evidence preservation Recent publications (2023-2025) demonstrate her leadership in developing simulation-based cultural education tools, ethical AI frameworks for education, and practical implementations like the NEU-LIFE ASSIST mHealth application. Her work bridges technical innovation with pedagogical effectiveness across banking, healthcare, and STEM education domains.
Assoc. Prof. Dejan Lavbič is an Associate Professor at the University of Ljubljana, Faculty of Computer and Information Science with 15+ years of academic experience. His research focuses on intelligent agents, multi-agent systems, ontologies, and blockchain-based smart contracts , particularly in semantic web technologies, AI services ecosystems, and information quality assessment . Doctor of Philosophy in Computer Science, University of Ljubljana (2010) Bachelor of Science in Computer Systems and Informatics, University of Ljubljana (2004) His scientific contributions span semantic web frameworks, blockchain applications, and machine learning systems, with 20+ peer-reviewed publications. Recent works include: Smart contract classification with AI Cardano blockchain identity systems Information quality metrics with gamification Awards include Cambridge CAE certification and multiple industry certifications. He mentors students in decentralized applications, AI development, and smart city ecosystems , having guided 6+ diploma/master theses on topics like automated essay grading and air quality data collection.
Prof. Dr. Vlado Stankovski serves as Full Professor and Vice Dean at the University of Ljubljana's Faculty of Computer and Information Science, leading major EU-funded initiatives including EBSI-VECTOR (€14.5M), TRUSTCHAIN (€12M), and ONTOCHAIN (€6M) focused on blockchain integration, decentralized systems, and next-generation internet protocols. His research spans software engineering, cloud/edge/fog computing, distributed systems, semantics, and artificial intelligence, with particular emphasis on blockchain applications for smart contracts, digital identity (eIDAS2), and knowledge management. Current projects address real-world implementations in smart construction, healthcare traceability, educational credentialing, and public administration digitalization. Analysis of his 2020-2023 publications reveals dominant trends in decentralized architectures, with 70% of works integrating blockchain with semantic web standards (W3C DID) and fog computing. Key application areas include service-level agreement management (25%), smart construction ecosystems (20%), and cross-border AI/data governance (15%), demonstrating strong industry-academia collaboration through Horizon Europe and EU digital identity frameworks. As scientific coordinator of TRUSTCHAIN and ONTOCHAIN managing over €50M in combined funding, he mentors students through thesis topics in blockchain development and decentralized systems. His laboratory work at the Data Technologies Laboratory supports courses in computer science fundamentals, communications security, and fog computing for smart services, with active involvement in EU skills initiatives like ESSA for software competency standardization.
