Committee Members

Raoudha Ben Djemaa is an esteemed Associate Professor at the Higher Institute of Computer Science and Communication Technologies (ISITCOM), University of Sousse, Tunisia. With over two decades of academic experience, she has made significant contributions to research and education in the field of computer science.

She earned her Master’s degree in Information Systems and New Technologies from Sfax University, Tunisia, in 2002, and completed her Ph.D. in Informatics at the same institution in 2009. She is also an active member of the MIRACL Laboratory (Multimedia, Information Systems and Advanced Computing) at Sfax University.

Her research spans a wide range of areas, including Artificial Intelligence, Internet of Things (IoT), Cloud Computing, Blockchain, Web Technologies, Semantic Web, Software Engineering, Distributed Systems, Context-Aware Computing, and Intelligent Transportation Systems. She has authored several publications in these fields, reflecting her strong commitment to advancing knowledge and innovation.

In addition to her research, Dr. Ben Djemaa is deeply passionate about teaching and mentoring, and has played a key role in guiding students and young researchers throughout her career. Her dedication to both academic excellence and the development of emerging technologies has established her as a respected figure in the Tunisian and international computer science community.

Dr. Alejandro Gaston Figueroa holds a Ph.D. in Computational Linguistics and a Master’s degree in Language Technologies and Computer Science. With a strong academic background and a passion for human-computer interaction, Dr. Figueroa focuses on exploring, analyzing, and mining multimodal environments—particularly text and image data. Their research aims to uncover deeper insights into how machines can interpret, understand, and engage with humans more naturally and effectively. Throughout their career, they have demonstrated a strong ability to bridge the gap between theoretical research and real-world application.

Dr. Figueroa has led multiple interdisciplinary research projects, collaborating with both academic institutions and industry partners. These projects have often addressed complex challenges in natural language processing, computer vision, and AI-based human interaction. Their experience spans various roles, including project leadership, technical design, and implementation. They are especially committed to research that enhances accessibility, understanding, and communication through technology.

In addition to research, Dr. Alejandro Gaston Figueroa is an experienced academic mentor. They have supervised numerous undergraduate and master’s theses, fostering the next generation of researchers and developers. Their mentorship emphasizes critical thinking, innovation, and real-world impact. Currently, Dr. Alejandro Gaston Figueroa serves as an Associate Research Professor at the Universidad Tecnológica Metropolitana (UTEM), where they continue to advance knowledge in computational linguistics and multimodal AI systems. Their work contributes to academic excellence, industry collaboration, and the development of intelligent technologies that resonate with human needs.

Professor Dr. Bo Nørregaard Jørgensen is the founder and head of the Center for Energy Informatics at the University of Southern Denmark, an interdisciplinary research centre established in 2013 to advance the digital transformation of the green energy transition. Under his leadership, the centre has grown to encompass over 30 researchers across computer science, applied physics, electrical engineering, and social sciences, working at the intersection of digital technologies and energy systems.

A pioneer in the field, Professor Jørgensen is co-founder and Editor-in-Chief of the Energy Informatics journal (Springer Open) and co-founder of the Energy Informatics Academy and its associated international conference series. His research focuses on software technologies, multi-agent systems, and AI-driven solutions for the optimization and coordination of distributed energy systems, including renewable energy integration, grid flexibility, and intelligent demand-side management.

Over the past 15 years, he has led or co-led major research and innovation initiatives totalling more than DKK 500 million in funding, collaborating extensively with industry, government agencies, and international partners. He is the author of over 300 scientific publications and holds three US patents in software technologies. Professor Jørgensen is a member of the Danish Academy of Technical Sciences and frequently serves as an expert reviewer for national and international funding bodies.

He holds a Ph.D. in Computer Science from the University of Southern Denmark, and both M.Sc. and B.Sc. degrees in Computer System Engineering from Odense University.

Dr. Yan Gao is a distinguished architect and educator known for his pioneering work in integrating data-driven design research with architectural practice to balance measurable and intangible values for the benefit of both stakeholders and society. He is the creator of the Deep Design for Empathetic Architecture theory, rooted in Chinese intellectual traditions and focused on the dynamic evolution of space and form. Dr. Gao has received numerous international design awards and is regarded as a leading academic figure in China advancing the use of synthetic computation in architectural research and practice. His research explores computational applications across architecture, urbanism, landscape, and interior design, especially in complex real-world contexts. His notable curatorial contributions include the Contemporary Chinese Architecture Exhibition (London, 2012), the Synergy & Symbiosis Exhibition for the China Pavilion at the Venice Biennale (2014), and Unplugged at the Pingshan Exhibition under the Shenzhen-Hong Kong Bi-City Biennale of Architecture & Urbanism (2021). He is a Founding Council Member of the Digital Architecture Design Association in China and has led the AA Beijing Visiting School since 2010. His research interests include applied computational design, AI-integrated design, BIM, DfMA, mass customization, design thinking, and integrated smart design and making. Dr. Gao holds a Ph.D. from RMIT University (2024), an M.Arch from the AA School (2005), and a B.Arch from Tsinghua University (2002). He is also a Chartered Member of the Royal Institute of British Architects (RIBA) and holds Part 3 ARB registration in the UK.

Miin-Shen Yang received the B.S. degree in mathematics from Chung Yuan Christian University, Taoyuan, Taiwan, in 1977, the M.S. degree in applied mathematics from National Chiao-Tung University, Hsinchu, Taiwan, in 1980, and the Ph.D. degree in statistics from the University of South Carolina, Columbia, USA, in 1989. In 1989, he joined the faculty of the Department of Mathematics, Chung Yuan Christian University (CYCU), as an Associate Professor, where he has been a Professor, since 1994. From 1997 to 1998, he was a Visiting Professor with the Department of Industrial Engineering, University of Washington, Seattle, USA. Since 2012, he has been a Distinguished Professor, and now a life Distinguished Professor of the Department of Applied Mathematics, CYCU. He was the Chairperson of the Department of Applied Mathematics, the Director of Chaplain’s Office, and the Dean of the College of Science, CYCU. His research interests include applications of statistics, fuzzy clustering, soft computing, pattern recognition, and machine learning. He was an Associate Editor of the IEEE Transactions on Fuzzy Systems from 2005 to 2011, and is an Editorial Board Member of Computer Science and Engineering section in the journal Electronics (MDPI). According to Stanford University’s Top 2% Scientists, he is among top 2% scientists as career impact and also single year impact of 2022 in Artificial Intelligence & Image Processing. He is also listed in 2022 as ScholarGPS global top 0.5% scholar.

Prof. Andrzej Cichocki is a distinguished Polish computer scientist and electrical engineer. He serves as a professor at the Systems Research Institute of the Polish Academy of Sciences in Warsaw and at Nicolaus Copernicus University (UMK) in Toruń, Poland. He also holds visiting professorships at several esteemed institutions, including RIKEN AIP and the Tokyo University of Agriculture and Technology in Japan. Prof. Cichocki is recognized among the world’s top 1% most-cited researchers, as listed by Clarivate’s Highly Cited Researchers from 2021 to 2023, and is regarded as one of the leading figures in electrical and electronic engineering.

His research contributions are highly regarded in the fields of signal processing and machine learning, particularly in blind signal separation (BSS), Independent Component Analysis (ICA), Non-negative Matrix Factorization (NMF), tensor decompositions, deep multilayer factorizations, tensor networks for big data and machine learning, and brain–computer interfaces. He is the author of several academic monographs and has published over 800 peer-reviewed scientific articles.

Prof. Cichocki received his M.Sc. (with honors), Ph.D., and D.Sc. (habilitation) degrees in electrical engineering and computer science from the Warsaw University of Technology. He was awarded the title of full Professor in 1995. From 1984 to 1989, he was an Alexander von Humboldt Research Fellow and DFG visiting scholar at the University of Erlangen-Nürnberg, Germany, where he collaborated closely with Professor Rolf Unbehauen.

Between 1996 and 2018, he was based at the RIKEN Brain Science Institute in Japan, where he led several research laboratories, including the Open Information Systems Lab, Artificial Brain Systems Lab, and the Laboratory for Advanced Brain Signal Processing. From 2018 to 2022, he held distinguished visiting professorships at various universities, including Hangzhou Dianzi University in China and Tokyo University of Agriculture and Technology.

Amanul Islam is a Graduate Research Assistant and PhD student in Computer Science at the
University of Colorado Colorado Springs, USA. He holds a Master by Research in Computer
Science from the University of Malaya, Malaysia, and a BSc in Information and Communication
Technology from The Millennium University, Bangladesh.
Islam’s research focuses on cybersecurity, anomaly detection in 5G/6G networks, anonymous
networking in cryptocurrency, and the application of machine learning techniques in secure
systems. His work has been published in leading journals and presented at international
conferences such as IEEE CCNC and SVCC. He has also served as a lecturer, research
assistant, and software engineer, with more than a decade of experience in academia and
applied research.
In addition to his academic achievements, Dr. Islam has authored multiple books and serves as
a peer reviewer for reputed journals including Security Journal (Springer), Computers & Security
(Elsevier), and Neurocomputing. He is passionate about advancing AI-driven cybersecurity and
smart systems research.

Prof. Dr. Mohamed El‑Tanani is the Vice President for Research & Postgraduate Studies at Ras Al Khaimah Medical and Health Sciences University (RAKMHSU), UAE. He also holds the distinguished Anniversary Chair in Molecular Pathology and serves as Deputy Director of the Institute of Cancer Therapeutics at the University of Bradford, UK. He earned his Ph.D. in Biochemistry from the University of Liverpool in 1997, followed by five years of postdoctoral research focused on the molecular biology of breast cancer and metastasis. In 2002, he began his academic career at Queen’s University Belfast as a Lecturer and has since held senior roles at both Bradford and RAKMHSU.

Prof. El‑Tanani’s research is dedicated to understanding tumor progression and metastasis, with a particular focus on the roles of osteopontin (OPN) and Ran GTPase in cancer dissemination. His work aims to track metastatic spread, uncover molecular mechanisms, and develop reliable biomarkers for disease prognosis. With an impressive academic output, he has authored more than 262 journal articles, presented over 400 conference papers, and holds 30 patents. He also serves on the editorial boards of several top-tier cancer journals and is a frequent peer reviewer.

In addition to his academic achievements, Prof. El‑Tanani is a sought-after consultant for major pharmaceutical and technology companies, including Intel and Applied Materials. He has also held positions on the boards of various industry alliances. Internationally recognized for his contributions, he is often invited to speak at global symposia and is acknowledged as one of Jordan’s leading researchers in the natural sciences. Through his translational research, Prof. El‑Tanani continues to bridge academia and practical application, advancing innovations in cancer diagnosis and therapy.

Dr. Mariana Durcheva earned her Ph.D. from the Technical University of Sofia (TUS), Bulgaria, where she also held the position of Associate Professor in the Faculty of Applied Mathematics and Informatics. With a strong academic background in mathematics and computer science, her teaching and research span over two decades. Since 2019, she has been a lecturer at the Sami Shamoon College of Engineering in Israel. Dr. Durcheva’s primary research interests lie in public-key cryptography, semirings, fuzzy graphs, and the application of artificial intelligence in education. Her work reflects a blend of theoretical mathematics and practical computational solutions, particularly in secure communication and modern educational technologies. She has authored over 50 research papers in reputed peer-reviewed journals and has actively participated in more than 40 international conferences around the globe. Her contributions are recognized in both the academic and research communities for their rigor and relevance. Dr. Durcheva also contributes to scholarly publishing and currently serves as a Guest Editor for the Special Issue titled “Mathematics for Algebraic Coding Theory and Cryptography” in the journal Mathematics. Her commitment to advancing interdisciplinary research, particularly in cryptography and AI, continues to inspire students and colleagues alike. She has been instrumental in fostering research collaboration across institutions and remains dedicated to both academic excellence and innovation. Through her international experience, she brings a global perspective to her teaching and mentorship. Dr. Durcheva is also involved in curriculum development, focusing on integrating AI tools in mathematical education. Her academic influence spans Bulgaria, Israel, and the broader research community. Her work not only bridges theory and application but also empowers the next generation of scientists. She is a respected member of several professional associations and continues to make significant contributions to mathematics and information security.

Dr. Hong Shen is a Professor of Information Technology at the School of Engineering and Technology, Central Queensland University (CQU), where he joined in November 2023. His primary research interests lie in parallel and distributed computing, network optimization, privacy and security, data mining, and machine learning.

Over the course of his distinguished career, Dr. Hong Shen has secured more than AUD 20 million in research funding and has led eight nationally competitive grant-funded projects, alongside numerous other collaborative initiatives in Australia, Japan, and China. He has authored over 500 research publications, including more than 200 articles in leading IEEE/ACM Transactions and other high-impact international journals.

Dr. Hong Shen has earned a strong scholarly reputation with more than 7,100 citations, an h-index exceeding 40, and an i10-index over 180, reflecting his substantial contributions to core areas in systems and algorithmic research, particularly in parallel and distributed computing.

Dr.Syed Arman Rabbani carries more than 15 years of teaching and research experience in Clinical Pharmacy and Pharmacology. He is a recipient of several awards and recognitions such as the Young Teacher Award and the Young Scientist Award for contributions in the field of Clinical Pharmacy and Pharmacology. He has published more than 75 research papers in high impact peer-reviewed journals, and has experience in supervising PhD, postgraduate and undergraduate students. He is actively involved in collaborative research projects with national and international universities, and serves as academic editor and reviewer for reputed journals. He has extensive experience in work-integrated learning and coordinates clinical rotations for postgraduate and undergraduate students. He is well versed in development of curriculum, teaching, learning, assessment methodologies, and possesses experience in accreditation/certification processes. He holds a PhD in Pharmaceutical Medicine with specialization in Clinical Pharmacology, M.Pharm, and B.Pharm degrees from the number one pharmacy school in India, and is a University Gold Medalist and Pharmacy Council of India Awardee for academic excellence.

Hooman Samani is a Lecturer in Machine Learning, AI for Robotics at the School of Engineering, Computing and Mathematics, University of Plymouth, UK. He has worked as an associate professor and the founder and director of the AIART (Artificial Intelligence and Robotics Technology Laboratory) lab at National Taipei University of Taiwan. He holds a PhD degree in Robotics from the National University of Singapore (NUS) and has worked as a Research Fellow at the Keio-NUS CUTE Centre, a joint research centre between NUS and Keio University of Japan. He is actively serving several robotics and AI related journals and conferences as editorial board member, organizing committee member, workshop organizer and reviewer. Apart from academia, he has work experience in Philips and Posco as well as R&D projects in different industrial sectors that have rounded-out his experiences. He was featured in many international media such as Discovery Channel, New Scientist and Reuters, starring his research in robotics. In tandem with his research in robotics, he has participated and won several international RoboCup competitions. He is a proponent of ‘the best way to predict the future is to create it’. He enjoys the serendipity of traveling without planning as a real-life implementation of SLAM (Simultaneous Localization And Mapping) and Reinforcement Learning (Taking actions in an environment to maximize the notion of cumulative reward). In his spare time, he plays guitar when he is in the mood and tennis when he is not.

Prof. Yosi Shacham-Diamand, The Bernard L. Schwartz chair for nano scale information technologies, Department of Electrical Engineering – Physical electronics and the department of Material science and technology, Faculty of engineering, Tel Aviv University. He is also an endowed chair professor at the Thapar institute for engineering and technology, Patiala, India and the director of the TAU/TIET Food Security center of excellence. D.Sc. EE 1983, M.Sc. EE 1980, and B.Sc. EE (Summa-cum Laude) 1978, all in the Technion-Israel Institute of Technology, Haifa, Israel.  1983-post-doctorate at U.C. Berkeley, CA, USA. 1987- 1989 senior lecturer, the Technion, Israel. 1989-1996 assistant professor Cornell university, Ithaca NY, USA, 1997-2001 Associate professor and since 2001 a full professor at the school of electrical engineering, Physical Electronics department, Tel-Aviv University. Yosi has been also a Visiting professor, CNR-IMM, Rome, Italy, Visiting Professor, Waseda University, Tokyo, Japan and a distinguished international chair professor, Feng Chia University, Taichung, Taiwan.  Currently he is visiting professor at the Department of Electronics and Telecommunication, The Politecnico di Torino, Torino, Italy. He served in few academic positions including being the Academic Director, Micro Technologies Laboratory, Faculty of Engineering, Tel-Aviv university (2000 –2001), the director of Tel-Aviv University research institute for Nano-Science and nano-technologies (2001–2004), Head of the department of Physical Electronics, faculty of Engineering (2007- 2011), the Vice-dean of the faculty of engineering for Industrial relations and with the friends of the faculty in Israel and abroad. He was on the university board of governors (2008-2012), University patent committee (2006-2010), head of the industrial affiliation program, Faculty of engineering (2012) and a member of the board of directors of “RAMOT” by Tel Aviv University (2008-2013). He was (2013-2018) a member of the MAGNET committee promoting basic and generic technologies in Israel, the innovation authority, Ministry of trade and Industry. Prof.. Shacham-Diamand also served as consultant to numerous manufacturing companies such as: Zoran Inc. (1983-1986), Intel Inc. Applied Materials Inc., Nova Instruments Inc., and to numerous investments and holding companies in Israel and abroad. Prof. Shacham-Diamand served on the board of directors of PCB Ltd. (2001-2003), “RAMOT” by Tel Aviv University (2008-2013), TAUVentures Inc. (2018-Now) investment and currently serves on the advisory board of CartaSense Ltd. and SolChip Ltd. He published 262 journal papers, >400 conference papers in registered proceedings, 7 chapters in books, 30 patents, edited two conference proceedings books, and two books.
His research is in the field of Micro and Nano electronics science and technology; specifically, electroless plating of metals and alloys, interconnect technology for ULSI circuits and flexible electronics, and electrochemical bio sensors the food, medical and agro applications.

Dr. Xiaoyang Liu is a Professor and Ph.D./Postdoctoral Supervisor at the School of Computer Science and Engineering, Chongqing University of Technology, China. He earned his Ph.D. from Northwestern Polytechnical University and completed postdoctoral research at Chongqing University and The University of Alabama, USA. Dr. Liu is a Senior Member of the China Computer Federation (CCF), and a member of IEEE and CAAI. He serves as an editorial board member for Computer Application Research and as a youth associate editor for the Journal of Chongqing University of Technology (Natural Science Edition). Additionally, he is a reviewer for top international journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Cybernetics, and Computer Networks. Dr. Liu has led or participated in over 30 national and provincial research projects, focusing on areas such as information propagation in social networks, cybersecurity culture transmission, emergency public event analysis, and user behavior modeling. His prolific academic output includes more than 100 papers published in prestigious journals like Expert Systems with Applications, IEEE Transactions on Computational Social Systems, Physica A, and Applied Intelligence. He holds 33 national invention patents and has authored four academic books on social network analysis, information propagation modeling, and network science. His interdisciplinary research bridges computer science, data mining, social network analysis, and nonlinear dynamics, contributing significantly to the theoretical and practical development of these fields. Dr. Liu continues to play a key role in advancing intelligent information processing and social network technology both in China and internationally.

Dr. Arnon Hershkovitz is a dedicated researcher working at the intersection of learning, teaching, and technology.
With a strong focus on contemporary educational environments, their work explores the evolving nature of skills demanded by today’s learners and educators. Dr. Arnon Hershkovitz examines how both new and redefined skills are shaped within dynamic, digitally enhanced learning settings. Their research is grounded in the concept of cyberlearning ecosystems—where digital tools, platforms, and pedagogies converge. A key methodology used in their investigations is Learning Analytics, which helps uncover patterns in student engagement, behavior, and outcomes.
By analyzing data from digital learning environments, Dr. Arnon Hershkovitz aims to improve instructional design and learner support. They are particularly interested in how data-informed practices can personalize education and foster lifelong learning. Their work contributes to the development of digital literacies and critical thinking skills necessary for modern learners. Dr. Arnon Hershkovitz also studies teacher adaptation to technology, focusing on professional development and digital fluency. They actively explore the balance between automation and human decision-making in tech-integrated classrooms. As an advocate for ethical data use in education, Dr. [Your Name] promotes transparency and learner privacy. Their research often involves interdisciplinary collaborations, blending education, data science, and human-computer interaction. They publish widely in the fields of learning analytics, educational technology, and digital pedagogy. Dr. Arnon Hershkovitz  has presented at leading international conferences and contributes to open educational communities. Their projects often involve partnerships with schools, universities, and edtech developers. They are passionate about closing the gap between research and classroom practice. Dr. Arnon Hershkovitz also mentors emerging scholars in educational data science and innovation. They serve on the editorial boards of key journals in educational technology and analytics.
In their teaching, they encourage students to critically examine the role of technology in shaping knowledge and identity. Dr. Arnon Hershkovitz’s work continues to influence the evolving landscape of digitally connected learning.

Dr. Tao-Hsin Tung is an accomplished researcher with expertise spanning public health, medical research, and criminology. He earned a Ph.D. in Public Health from National Yang-Ming University, Taipei, Taiwan, completing his doctoral studies in 1996 and 2005. He also holds an SJD in Crime Prevention and Correction from Central Police University, Taiwan, awarded in 2011 and 2018.His interdisciplinary academic background integrates medical science and law, enriching both his research and teaching activities. In 2004, Dr. Tung began his career as an Associate Researcher at Cheng-Hsin General Hospital, later becoming a full Researcher in 2008. His work there focused on clinical research, epidemiology, and health education.In 2021, he joined the Evidence-Based Medicine Center at Taizhou Hospital of Zhejiang Province, affiliated with Wenzhou Medical University. His current research focuses on clinical epidemiology, biostatistics, evidence-based medicine, and disease screening.Dr. Tung also explores medical law and criminology, bridging healthcare and legal systems to inform policy development and ethical practice. His research addresses issues such as disease prevention strategies, medical safety, and crime prevention in medical contexts. He has authored numerous scientific publications and regularly contributes to academic journals and conferences worldwide. His collaborative projects often involve international researchers across health and legal disciplines. With deep knowledge of biostatistics and evidence-based medicine, Dr. Tung plays a vital role in shaping clinical guidelines and screening methods that enhance healthcare decision-making. His dual expertise in law and medicine allows him to address complex ethical and regulatory challenges in modern healthcare systems. As a respected scholar, Dr. Tung continues to influence the integration of public health, medical research, and legal standards, advancing patient safety and care quality globally.

Stefan Johansson is an Associate Professor of Education at the Department of Education and Special Education, University of Gothenburg (since 2019). He coordinates two research schools (QRM and R-QRM) focusing on quantitative methods in educational research. His work primarily utilizes international large-scale assessments and register data to investigate how formal teacher competence influences student achievement. He also examines validity issues in educational assessments, such as how well PISA test scores align with national test results and grades, specifically considering the moderating role of student motivation. Johansson serves as a member of the Questionnaire Expert Group for the OECD’s Teaching and Learning International Survey (TALIS). He sits on the editorial board of the journal Intelligence and is a co-editor of Educational Assessment, Evaluation and Accountability. Additionally, he reviews research proposals for the Swedish Research Council. Johansson mainly supervises doctoral students. He teaches courses on educational assessment, evaluation, measurement quality, and statistics, including instruction in statistical software such as SPSS.