Advisory Board and Editors Human-Computer Interaction
Mario Silic
Mario Silic brings over 30 years of international professional experience in senior management and consultancy roles. He has held leadership positions at global corporations including Epson, HP, Alcatel, Western Union, and Renault, and has advised prestigious organizations such as the City of Barcelona, AUDI, the City of Munich, and Ericsson.
He earned his PhD from the University of St. Gallen, Switzerland, where his research in cybersecurity was recognized and supported through multiple grants, including the GFF Project (2015), GFF Postdoctoral Fellowship (2016), and the Swiss National Science Foundation Postdoctoral Project Grant (2017). His scholarly work focuses on artificial intelligence, cybersecurity, information security, open-source software, and mobile technologies, with a notable contribution on mitigating insider computer abuse in cybersecurity contexts.
As an educator, Mario is passionate about bridging research and practice. He teaches a wide range of courses, including Cybersecurity, Applied AI and Machine Learning for Business, Data Analytics and Decision-Making, Programming, Project Management, Innovation Management, and Web Technologies. His teaching philosophy emphasizes practical application and preparing students to thrive in the fast-evolving digital economy.
Tamara Sumner
I lead an interdisciplinary research and development lab that studies how computational tools - combining cognitive science, machine intelligence, and interactive media - can improve teaching practice, learning outcomes and learner engagement. Inquiry Hub, formerly known as Digital Learning Sciences, is a mission-centered, research-practice partnership involving faculty and students from the University of Colorado Boulder, scientific and technical staff from the University Corporation for Atmospheric Research (UCAR), and educators and administrators from Denver Public Schools. Our research and development team combines expertise in cognitive science, learning sciences, science education, user-centered design and evaluation, digital content management, software engineering, educational data mining, and machine learning/natural language processing.
I am also a Professor at the University of Colorado, with a joint appointment between the Institute of Cognitive Science and the Department of Computer Science. I am currently serving as the Director of the Institute of Cognitive Science. My research and teaching interests include personalized learning, learning analytics, cyber learning environments, educational digital libraries, scholarly communications, human centered computing, and interdisciplinary research methods for studying cognition. I have written 140 articles on these topics, including over 80 peer-reviewed scholarly publications.
Steven John Thompson
Former faculty at Johns Hopkins University, Dartmouth College, UC Davis. I have been teaching college students for over 25 years. My research expertise is in Internet phenomena: access, addiction, agency, control, dependency, governance, and policy; and engineering ethics in Science, Technology, and Society (STS) merging the Internet with physical bodies. I am the Editor for Machine Law, Ethics and Morality in the Age of Artificial Intelligence (2021); Androids, Cyborgs, and Robots in Contemporary Culture and Society (2017); and, Global Issues and Ethical Considerations in Human Enhancement Technologies (2014).
Leonilde Varela
The main research interests of Leonilde Varela rely on the Manufacturing Management domain: Production Planning, Control and Optimization and in Collaborative Paradigms, Networks and Decision Making Models, Methods and Tools, and Systems, Web Applications and Services for supporting Engineering and Production Management. She focuses on exploring international scientific collaborations, mainly in terms of joint publications, projects, and special issues proposals, with colleagues from several institutions. She is an active member in the organizing and scientific committees of several internationa conferences and integrates several research networks and organizations, such as: Euro Working Group of Decision Support Systems (EWG-DSS); Institute of Electrical and Electronics Engineers (IEEE); Industrial Engineering Network (IE Network); Institute of Industrial and Systems Engineers (IISE); Machine Intelligence Research Labs, Scientific Network for Innovation and Research Excellence (MirLabs).
Julita Vassileva
Professor in Computer Science, University of Saskatchewan, Canada. Her research area is human issues in decentralized computing technologies and applications: user modeling, personalization, trust modeling, intelligent educational and persuasive technologies.
Chaman Verma
Dr. Chaman Verma is an Assistant Professor at the Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University. He is also the project leader and chief researcher of his project sponsored by National Research, Development and Innovation (NRDI) Hungary. He also won a young educator scholarship for novel research sponsored by the EKÖP, NRDI Fund, and the Hungarian Government.
He pursued a post-doctorate at the Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary, sponsored by UNKP, MIT (Ministry of Innovation and Technology), the National Research, Development and Innovation (NRDI) Fund, and the Hungarian Government. He received a Ph.D. in informatics from the Doctoral School of Informatics, Eötvös Loránd University, Budapest, Hungary, with the Stipendium Hungaricum Scholarship funded by the Tempus Public Foundation, Government of Hungary. During his Ph.D., he won the EFOP Scholarship, co-founded by the European Union Social Fund and the Government of Hungary, as a professional research assistant in a real-time system from 2018 to 2021. He also received the Stipendium Hungaricum Dissertation Scholarship of Tempus Public Foundation, Government of Hungary, from 2021 to 2022.
He has been awarded several Erasmus Scholarships for conducting international research and academic collaboration with European and non-European universities. He received the best scientific publication award from the Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary, In the years 2021-2024. He has also been awarded the ÚNKP scholarship for research by the Ministry of Innovation and Technology and the National Research, Development and Innovation (NRDIO) Fund, Government of Hungary, 2021-2023.
He has around ten years of experience in teaching and industry. He has over 150 scientific publications in the IEEE, Elsevier, Springer, IOP Science, Walter de Gruyter and MDPI. His research interests include data analytics, feature engineering, real-time systems, and educational informatics. He is a life member of ISTE, New Delhi, India. He is a member of the editorial board and a reviewer of various international journals and scientific conferences. He was the leading guest editor of the special issue Advancement in Machine Learning and Applications in Mathematics, IF- 2.25, MDPI, Basel, Switzerland, in 2022. He was also a guest editor in two Springer journals. He is a co-editor in the series of conference proceedings of ICRIC-2021-24 published by Springer, Singapore. He reviews many scientific journals, including IEEE, Springer, Elsevier, Wiley, and MDPI. He has Scopus citations of 1603 with an H-index of 24. He has Web of Science citations of 355 with an H-index of 13.
Marcus Fraga Vieira
Prof. Marcus Vieira is the Bioengineering and Biomechanics Laboratory head at Universidade Federal de Goiás. He received BS in Electrical Engineering and Physical Education from the Universidade Federal de Goiás, and MSc and PhD in Biomedical Engineering from the Universidade de São Paulo. He focuses his research in computational neuroscience and biomechanics, especially in motoneuron modeling, spinal CPG, nonlinear tools for movement variability analysis, including entropy, fractal dimension and recurrence analysis, coherence analysis in postural control, transitory tasks such as gait initiation, and gait dynamic stability.
Ramana Vinjamuri
Ramana Vinjamuri received his undergraduate degree in Electrical Engineering from Kakatiya University (India) in 2002. He received his MSc in Electrical Engineering from Villanova University in 2004, specializing in Bioinstrumentation. He received his Ph.D. in Electrical Engineering from University of Pittsburgh in 2008, specializing in Dimensionality Reduction in Control and Coordination of the Human Hand. He worked as a postdoctoral fellow (2008-2012) in the field of Brain-Machine Interfaces (BMI) to control prosthesis in the School of Medicine, University of Pittsburgh. He worked as a Research Assistant Professor in the Department of Biomedical Engineering at the Johns Hopkins University (2012-2013). He worked as an Assistant Professor in the Department of Biomedical Engineering at Stevens Institute of Technology (2013-2020). He was the recipient of the Harvey N Davis Distinguished Teaching Award in 2018 at Stevens. His research at Stevens was supported by Research and Innovation grants from the New Jersey Health Foundation. He received the NSF CAREER Award in 2019 and NSF IUCRC Planning Grant Award in 2020 respectively. He also holds a secondary appointment as an Adjunct Assistant Professor at the Indian Institute of Technology, Hyderabad, India. His research interests are in the areas of – brain-computer interfaces, neuroprosthetics and exoskeletons, machine learning, and signal processing.
Stefan Wagner
Stefan Wagner is full professor of software engineering at the Technical University of Munich in the TUM School of Communications, Information and Technology. He studied computer science in Augsburg and Edinburgh and psychology in Hagen. He holds a doctoral degree in computer science from TU Munich, where he also worked as a post-doc. Previously, he was a full professor at the University of Stuttgart. His main research interests are empirical studies, software quality, human factors, AI-assisted software engineering, AI-based software and automotive software. He is a member of GI and a senior member of ACM and IEEE.
Janet Wiles
Professor of Complex and Intelligent Systems at the University of Queensland.
Chenshu Wu
Chenshu Wu is an Assistant Research Scientist in the Department of Electrical and Computer Engineering, University of Maryland, College Park. He is also the Chief Scientist at Origin Wireless Inc.,a spotlight startup working on wireless AI. He received his Ph.D in 2015 in the Department of Computer Science and Technology, and his B.E. in 2010 in the School of Software, both from Tsinghua University, Beijing, China.
Marvin Wyrich
Dr. Marvin Wyrich is a Researcher at Saarland University, Germany.
His primary research interests include empirical software engineering, program comprehension, and meta-scientific topics.