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Schahram Dustdar

ICREA, Barcelona, Spain

Schahram Dustdar

ICREA, Barcelona, Spain

Schahram Dustdar is a ICREA Professor au UPF. He has also been Full Professor of Computer Science heading the Research Division of Distributed Systems at the TU Wien, Austria. He holds several honorary positions: Francqui Chair Professor at University of Namur, Belgium (2021-2022), University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney. From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA.

From 1999 - 2007 he worked as the co-founder and chief scientist of Caramba Labs Software AG in Vienna (acquired by Engineering NetWorld AG), a venture capital co-funded software company focused on software for collaborative processes in teams. Caramba Labs was nominated for several (international and national) awards. One day however a small line of blind text by the name of Lorem Ipsum decided to leave for the far World of Grammar. The Big Oxmox advised her not to do so, because One day however a small line of blind text by the name of Lorem Ipsum decided to leave for the far World of Grammar. The Big Oxmox advised her not to do so, because

Email:chief@nxtai-conference.com

Jinde Cao

Southeast University, China

Jinde Cao

Southeast University, China

Jinde Cao (Fellow, IEEE) received the B.S. degree in mathematics from Anhui Normal University, Wuhu, China in 1986, the M.S. degree from Yunnan University, Kunming, China, and the Ph.D. degree from Sichuan University, Chengdu, China, both in applied mathematics, 1989, and 1998, respectively. He was a Postdoctoral Research Fellow at the Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, China from 2001 to 2002.

Professor Cao is an Endowed Chair Professor, the Dean of Science Department and the Director of the Research Center for Complex Systems and Network Sciences at Southeast University (SEU). He is also the Director of the National Center for Applied Mathematics at SEU-Jiangsu of China and the Director of the Jiangsu Provincial Key Laboratory of Networked Collective Intelligence of China. He is also Honorable Professor of Institute of Mathematics and Mathematical Modeling, Almaty, Kazakhstan.

Prof. Cao was a recipient of the National Innovation Award of China, IETI Annual Scientific Award, Obada Prize and the Highly Cited Researcher Award in Engineering, Computer Science, and Mathematics by Clarivate Analytics. He is elected as a member of Russian Academy of Sciences, a member of the Academia Europaea (Academy of Europe), a member of the European Academy of Sciences and Arts, a member of the Lithuanian Academy of Sciences, a fellow of African Academy of Sciences, and a fellow of Pakistan Academy of Sciences.

Marcia C. Linn

University of California, berkeley, USA

Marcia C. Linn

University of California, berkeley, USA

Marcia C. Linn is Evelyn Lois Corey Professor of Instructional Science, specializing in science and technology in the School of Education, University of California, Berkeley(link is external). She is a member of the National Academy of Education and a Fellow of the American Association for the Advancement of Science (AAAS), the American Psychological Association, the Association for Psychological Science, and the International Society of the Learning Sciences (ISLS). She has served as President of the ISLS, Chair of the AAAS Education Section, and on the boards of the AAAS, the Educational Testing Service Graduate Record Examination, the McDonnell Foundation Cognitive Studies in Education Practice, and the National Science Foundation Education and Human Resources Directorate. Awards include the National Association for Research in Science Teaching Award for Lifelong Distinguished Contributions to Science Education, the American Educational Research Association Willystine Goodsell Award, and the Council of Scientific Society Presidents first award for Excellence in Educational Research. Linn earned her Ph. D. at Stanford University where she worked with Lee Cronbach. She spent a year in Geneva working with Jean Piaget, a year in Israel as a Fulbright Professor, and a year in London at University College. She has been a fellow at the Center for Advanced Study in Behavioral Sciences three times. Her books include Computers, Teachers, Peers (2000), Internet Environments for Science Education (2004), Designing Coherent Science Education (2008), WISE Science (2009), and Science Teaching and Learning: Taking Advantage of Technology to Promote Knowledge Integration (2011). She chairs the Technology, Education—Connections (TEC) series for Teachers College Press.

One day however a small line of blind text by the name of Lorem Ipsum decided to leave for the far World of Grammar. The Big Oxmox advised her not to do so, because

Mohand Tahar Kechadi

University of Dublin, Ireland

Jaideep Srivastava

University of Minnesota, Minneapolis, MN, USA

Anind K Dey

University of Washington, Seattle, Washington, USA

Guann Pyng Li

University of California, Irvine, California, USA

Zehui Xiong

Queen's University Belfast, UK

Zehui Xiong

Queen's University Belfast, UK

Zehui Xiong is currently a Full Professor with the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, United Kingdom. Prior to that, he was with Singapore University of Technology and Design, and Nanyang Technological University (NTU). He received the Ph.D. degree in Computer Science and Engineering at NTU, Singapore. He was a visiting scholar with Department of Electrical Engineering at Princeton University and a visiting scholar with Broadband Communications Research (BBCR) Lab in Department of Electrical and Computer Engineering at University of Waterloo. His research interests include wireless networks, Internet of Things, edge intelligence, semantic communications, generative AI, and Metaverse.

Recognized as a Highly Cited Researcher, he has published more than 250 peer-reviewed research papers in leading journals, with numerous Best Paper Awards from international flagship conferences. He serves as an Editor or Guest Editor for many leading journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Network Science and Engineering. Featured in Forbes Asia 30U30, he serves as the Chair for numerous international conferences. His honors include the IEEE Asia Pacific Outstanding Young Researcher Award, IEEE VTS Early Career Award, IEEE Early Career Award for Excellence in Scalable Computing, IEEE Technical Committee on Blockchain and Distributed Ledger Technologies Early Career Award, IEEE Internet Technical Committee Early Achievement Award, IEEE TCSVC Rising Star Award, IEEE TCI Rising Star Award, IEEE TCCLD Rising Star Award, IEEE ComSoc Outstanding Paper Award, IEEE Best Land Transport Paper Award, IEEE Asia Pacific Outstanding Paper Award, IEEE CSIM Technical Committee Best Journal Paper Award, IEEE SPCC Technical Committee Best Paper Award, and IEEE Big Data Best Influential Conference Paper Award.

Tongliang Liu

The University of Sydney, Australia

Tongliang Liu

The University of Sydney, Australia

Tongliang Liu is an Associate Professor in Machine Learning with the School of Computer Science and The Director of Sydney AI Centre at the University of Sydney. He is broadly interested in the fields of trustworthy machine learning and its interdisciplinary applications, with a particular emphasis on learning with noisy labels, adversarial learning, causal representation learning, transfer learning, unsupervised learning, foundation model safety, and statistical deep learning theory. He has authored and co-authored more than 200 research articles including ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, AAAI, IJCAI, JMLR, and TPAMI. He is/was a senior meta-reviewer for NeurIPS, ICLR, AAAI, and IJCAI, meta-reviewer for NeurIPS, ICML, ICLR, UAI, AAAI, IJCAI, and KDD, and was a notable AC for NeurIPS and ICLR. He is a co-Editor-in-Chief for Neural Networks, an Associate Editor of IEEE TPAMI, TIP, JAIR, ACM Computing Surveys, and TMLR, and is on the Editorial Boards of JMLR and MLJ. He is a recipient of Young Distinguished Scientist Award from the International Association of Engineers (IAENG) in 2025, CORE Award for Outstanding Research Contribution in 2024, the IEEE AI's 10 to Watch Award in 2023, the Future Fellowship Award from Australian Research Council (ARC) in 2022, the Top-40 Early Achievers by The Australian in 2020, and the Discovery Early Career Researcher Award (DECRA) from ARC in 2018.

Raj Jain

Washington University St. Louis, Missouri, USA

Zhipeng Huang

Suffolk University, Boston, MA

Fred Heiding

Harvard Kennedy School, Cambridge, MA

Fred Heiding

Harvard Kennedy School, Cambridge, MA

Fred Heiding is a postdoctoral research fellow at the Belfer Center’s Defense, Emerging Technology, and Strategy (DETS) program at Harvard Kennedy School. His work focuses on computer security at the intersection of technical capabilities, business implications, and policy remediations. Fred is a member of the World Economic Forum's Cybercrime Center and is on the organizing committee of the Technology and National Security Conference. He is a teaching fellow for the Generative AI course at Harvard Business School and the National and International Security course at the Harvard Kennedy School. Fred has been invited to brief the US House and Senate staff in DC on the rising dangers of AI-powered cyberattacks, and he leads the cybersecurity division of the Harvard AI Safety Student Team (HAISST). His work has been presented at leading conferences, including Black Hat, Defcon, and BSides, and leading academic journals like IEEE Access and professional journals like Harvard Business Review and Politico. He has assisted in the discovery of more than 45 critical computer vulnerabilities (CVEs). In early 2022, Fred got media attention for hacking the King of Sweden and the Swedish European Commissioner.

Fernando Moreira

Universidade Portucalense, Portugal

Fernando Moreira

Universidade Portucalense, Portugal

Fernando Moreira is a researcher and professor affiliated with Universidade Portucalense Infante D. Henrique, Porto, Portugal. He is known for his work in the fields of information systems, artificial intelligence, and data science. His research focuses on areas such as machine learning, decision support systems, and digital transformation. He has contributed to numerous international publications, conferences, and research projects, and is actively involved in advancing technological innovation and interdisciplinary studies. In addition to his research, he is engaged in teaching and mentoring students in computer science and related domains.

Sanjay Padhi

CERN, Geneva, Switzerland

Sanjay Padhi

CERN, Geneva, Switzerland

Sanjay Padhi is a researcher associated with CERN, the world’s leading laboratory for particle physics. His work is connected to advanced scientific research in areas such as high-energy physics, data analysis, and large-scale computing systems. At CERN, he contributes to collaborative international projects involving cutting-edge experiments and technologies that aim to explore the fundamental structure of the universe. His role involves working with complex datasets, scientific instrumentation, and global research teams.

Chaomin Luo

Mississippi State University, USA

Chaomin Luo

Mississippi State University, USA

Ph.D., Electrical and Computer Engineering, University of Waterloo, Canada. M.Sc., Engineering Systems and Computing, University of Guelph, Canada. B.S., Electrical Engineering, Southeast University, Nanjing, China. Academic/Research and Fields of Interest Robotics, and Autonomous Systems Computational Intelligence Applied Machine Learning

Po-Kan Lo

The Hong Kong Polytechnic University, Hong Kong SAR, China

Po-Kan Lo

The Hong Kong Polytechnic University, Hong Kong SAR, China

Mr Noble Lo completed his postgraduate degrees at The University of Hong Kong and the University of Oxford. He also obtained the Cambridge Certificate in Teaching English to Speakers of Other Languages and the Harvard Certificate in Advanced Education Leadership. He received his Juris Doctor from The Chinese University of Hong Kong. His publications have appeared in peer-reviewed journals, such as the Journal of Asia TEFL, Journal of East Asian Studies, Journal of Society for Humanities Studies in East Asia, Journal of Study on Language and Culture of Korea and China and Journal of The Cultural Studies Centre of East Asia. He has presented papers at international conferences conducted by the University of Portsmouth, Ajou University, Chonnam National University, Cologne University of Applied Sciences, Fudan University, Korea Aerospace University, Macao Polytechnic Institute, National Chung Hsing University, National Taiwan University, Seoul National University, The University of Hong Kong, and Xiamen University. Mr Lo’s interests lie in English education and comparative law. He has over 10 years of teaching experience at various colleges and universities in Hong Kong, Shanghai and South Korea. Prior to joining this institution, he was Assistant Professor of English at Woosong University in South Korea where he developed two new undergraduate courses, namely "Poetry and the Novel" and "English for Business Communication". His papers, including the law on EU and HK data protection, intoxication and criminal liability, and treaties and international agreements, have been published by the CUHK LAW’s Centre for Financial Regulation and Economic Development, the Law Reform Commission of Hong Kong and Routledge. He also gained practical legal research, drafting, and trial experience at leading chambers and international law firms, such as Des Voeux Chambers, Liberty Chambers, Linklaters and Clifford Chance. Mr Lo is presently a Fellow of the Royal Society of Arts, a Chartered Linguist of the Chartered Institute of Linguists, and a Member of the Society for Humanities Studies in East Asia, the British Educational Research Association and the Philosophy of Education Society of Great Britain.

Maksim Anisimov

Imperial College London, UK

Maksim Anisimov

Imperial College London, UK

Maksim Anisimov is a researcher affiliated with Imperial College London, United Kingdom. He is involved in academic research within science and engineering disciplines, contributing to innovative studies and collaborative projects. His work is connected to advanced technological and scientific developments, and he actively participates in research, publications, and scholarly activities within the academic community.

Shengchao Liu

The Chinese University of Hong Kong, Hong Kong SAR, China

Shengchao Liu

The Chinese University of Hong Kong, Hong Kong SAR, China

I am a Tenure-Track Assistant Professor in Computer Science and Engineering at The Chinese University of Hong Kong, and the Principal Investigator of the AI & Physics Lab, i.e., Wave Intelligence Lab. Previously: I was a postdoc at UC Berkeley, working with Prof. Jennifer Chayes and Prof. Christian Borgs. I got my CS Ph.D. degree with at Quebec Artificial Intelligence Institute (AKA Mila) and Université de Montréal, advised by Prof. Jian Tang. I got my CS master’s degree from University of Wisconsin-Madison, and was the graduate researcher at Morgridge Institute for Research. During my stay in UW-Madison, I started my first research project and was fortunately advised by Prof. Anthony Gitter, Prof. Yingyu Liang, and Prof. Dimitris Papailiopoulos. Prior to that, I got my bachelor’s degree from Shandong University. I was also having a great time doing an internship at Facebook, IQVIA, ServiceNow AI, and Nvidia.

Haw Shiuan Chang

University of Massachusetts Amherst, USA

Haw Shiuan Chang

University of Massachusetts Amherst, USA

I am a postdoc on the faculty job market now. My current position is a postdoctoral research associate at UMass Amherst Center for Intelligent Information Retrieval (CIIR), advised by Professor Hamed Zamani. My research bridges machine learning (ML), natural language processing (NLP), and information retrieval (IR), focusing on fundamentally narrowing the gap between large language models (LLMs) and human intelligence without relying on scaling laws such as increasing model size or training data size. Toward that end, I am particularly interested in(1) enhancing the generation factuality, diversity, and novelty of LLMs by encouraging the usage of more causal inferences and fewer guesses,(2) discovering LLMs’ limitations in their current architectures, decoding algorithms, evaluation, and training data, and(3) overcoming the limitations through the techniques inspired by human behavior. Previously, I was a postdoctoral scientist at Amazon AGI Foundations and worked with Professor Violet Peng, Professor Mohit Bansal, and Dr. Tagyoung Chung. I got my PhD at the University of Massachusetts Amherst, advised by Professor Andrew McCallum. Prior to PhD, I worked with Professor Yu-Chiang Frank Wang and Dr. Kuan-Ta Chen at Academia Sinica, Taiwan. I received my BS in the EECS Undergraduate Honors Program from National Yang Ming Chiao Tung University (NYCU), Taiwan.

Lei Meng

Shandong University, China

Lei Meng

Shandong University, China

Title: Generative LLMs/Agents for Embodied Intelligence and its Applications

Professor at the School of Software, Shandong University; Qilu Young Scholar; Taishan Young Expert of Shandong Province; Deputy Director of the Engineering Research Center of Digital Media Technology, Ministry of Education; Deputy Director of the Digital Entertainment and Intelligent Generation Technical Committee, CSIG; Deputy Director of the Shandong Engineering Research Center for "Data Element Governance and Large Model Applications". His research interests include multimedia computing. Over the past five years, as first/corresponding author, he has published 42 CCF Class A / CAS Q1 journal and conference papers, with over 6,600 Google Scholar citations. He has led 7 provincial and ministerial-level projects, including National Key R&D Program of China projects, NSFC Youth Fund, and Shandong Provincial Key R&D Program, with applications in major scenarios such as enterprise digital and intelligent transformation and intelligent public services. His research achievements have received five provincial/ministerial academic honors and technology awards, including: CAE Frontier of Engineering Outstanding Young Scholar Award (2021), China Association of Inventions Figure Award (2025), First Prize of the Invention Innovation Award of the China Association of Inventions (2023), Wu Wenjun AI Science & Technology Progress Award (Second Prize) of the Chinese Association for Artificial Intelligence (2024), and Second Prize of the Technical Invention Award of the Chinese Institute of Electronics (2025).

Martine Pellerin

University of Alberta, Canada

Chiara Lanza

Centre Tecnologic de Telecomunicacions de Catalunya, Spain

Boris Kriuk

Hong Kong University of Science and Technology, Hong Kong

Jeanne McClure

Ars Innovate Consulting & Technology, USA

Lingjiao Chen

Microsoft Research, USA

Andreas Schlapbach

SBB CFF FFS, Switzerland

Tingting Yang

Queen Mary University of London, UK

Liliana Hotsko

University of Waterloo, Ontario, CA

Jing Xu

CISPA Helmholtz Center for Information Security, Germany

Roman M Richard

Technological Institute of the Philippines, Philippines

Justin Stark

University of Technology Sydney, Australia

Jiaping Xiao

Nanyang Technological University, Singapore

Zishen Wan

Harvard University, USA

Jiachen Luo

Queen Mary University of London, UK

Carson Rodrigues

CELABE, India

Carine Mukamakuza

Carnegie Mellon University Africa, Rwanda

Lucas Thil

LIX, École Polytechnique, France

M Younas

Oxford Brookes University, UK

George Rebensdorf

oVio Technologies, USA

Haozhe Wang

Apple, Cupertino, California, USA

Jinsong Wu

Bell Laboratories, China

Jianbing Ni

Queen’s University, Canada

Edmar Candeia Gurjao

Federal University of Campina Grande, Brazil

Ankita Samaddar

Vanderbilt University, USA

Irene Tsapara

National University, USA

John M Willis

Quantum Powered Security, USA

Junyu Huo

Phanvic, Canada

Wanrong Yang

University of Liverpool, Uk

Kris De Brabanter

Iowa State University, USA

Jehan El Bayoumi

Georgetown University School of Medicine, USA

Ivan Robert Nabi

University of British Columbia, Canada

Soumya Mazumdar

Indian Institute of Technology Madras, India

Aravind Narayanan

Vector Institute for Artificial Intelligence, Canada

Diana W Dawoud

University of Dubai, United Arab Emirates

Manpreet Singh

The Education University of Hong Kong, HK

Zhongzhu Zhou

The University of Sydney, Australia

Zainab Alwaisi

Istituto di Informatica e Telematica, Italy

Bo Su

Indiana University, USA

Shikha V. Chandel

North Carolina A&T State University, USA

Samuel A. Olatunji

University of Tennessee, USA

Ruiying Liu

Emory University, USA

Rajarshi Roy

Indian AI Research Organization, India

Keane Ong Wei Yang

Massachusetts Institute of Technology, USA

Jerry Heneghan

BioMojo LLC, USA

Javier Andreu-Perez

University of Essex, UK

Dev Aditya

Otermans Institute, UK

Cristian Leo

Independent Researcher, USA

Christelle Scharff

Pace University, USA

Arun Malik

Microsoft Corporation, USA

Surendra Pathak

George Mason University, USA

Jiasun Li

George Mason University, USA

Darya Ramezani

Drexel University , USA

Tianwen Zhu

University of California Los Angeles, USA

Peter Stone

The University of Texas at Austin, USA

Sarah Hykin

Universal Emergence Foundation Ossining, USA

Dimitrios A. Giannakoudakis

Yale University, USA

Tianyu Shi

McGill University, Canada

GlobalAI-2026 is dedicated to providing a platform for sharing the latest AI research findings and presenting cutting-edge methodological advancements.

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