GRCRAI2025

My research interests are in brain science, brain informatics, cognitive informatics, neuroinformatics, neurocomputing, denotational mathematics, cognitive robotics, and computational intelligence. My lab is developing a coherent mathematical model of the brain at the neuron, physiological, cognitive, and logical levels from the bottom up. Some current results are such as the Layered Reference Model of the Brain (LRMB), the Abstract Intelligent Model of the Brain (AIMB) mapping onto brain’s physiological structures, the Neural Circuit Theory, the Memory Model of the Brain (MMB), and the mathematical model of consciousness. Latest findings in these areas have been applied in neural and cognitive science, clinical studies, cognitive informatics, and computational intelligence. The studies result in novel technologies initiated in my lab such as cognitive robotics, cognitive computers, cognitive knowledge bases, the machine learning engine, and the estimation of human memory capacity. I am the founding Editor-in-Chief of Int. Journal of Cognitive Informatics & Natural Intelligence (IJCINI), founding Editor-in-Chief of Int. Journal of Software Science & Computational Intelligence (IJSSCI), Associate Editor of IEEE Trans. on SMC (Systems), and Editor-in-Chief of Journal of Advanced Mathematics & Applications (JAMA). I’ve served as general chairs/program chairs/keynote speakers in more than 20 international conferences.

João Gama is a Full Professor at the Faculty of Economy, University of Porto. He is a researcher and vice-director of LIAAD, a group belonging to INESC TEC. He got the PhD degree from the University of Porto, in 2000. He is a Senior member of lEEE. He has worked on several National and European projects on Incremental and Adaptive learning systems, Ubiquitous Knowledge Discovery, Learning from Massive, and Structured Data, etc. He served as Co-Program chair of ECML'2005, DS'2009, ADMA 2009, IDA 2011, and ECML/PKDD 2015. He served as track chair on Data Streams with ACM SAC from 2007 till 2016. He organized a series of Workshops on Knowledge Discovery from Data Streams with ECML/PKDD, and Knowledge Discovery from Sensor Data with ACM SIGKDD. He is the author of several books on Data Mining (in Portuguese) and authored a monograph on Knowledge Discovery from Data Streams. He authored more than 250 peer-reviewed papers in areas Interest Topics arning, data mining, and data streams. He is a member of the editorial board of international journals ML, DMKD, TKDE, IDA, NGC, and KAIS. He (co-)supervised more than 12 PhD students and 50 MSc students.

Dr. Connie Yuen is the Open Source Evangelist in Linux Foundation Asia Pacific (LF APAC). She was the Associate Professor and Head in the Department of Applied Data Science at Hong Kong Shue Yan University in Hong Kong, China. She was one of the core members in establishing the First Science Department and developing the First Bachelor of Science programme (BSc-Applied Data Science) in the university. She was the programme director of the BSc-Applied Data Science. Under her leadership, the First two cohort students in BSc-Applied Data Science received a number of awards in competitions and participated in several indoor and outdoor exhibitions. At the same university, she was also the Founding Director of Big Data Laboratory, the Founding Director of Virtual Reality Laboratory and the Founding Director of Social Robotics & Digital Living Laboratory. She received several research grants from the University Grants Committee (UGC, Hong Kong) (over HKD $12.8 M). Among them, she is the Principal Investigator of two research grants. Dr. Yuen received her B.Sc. degree in Computer Studies and her M.Phil. degree in Information Technology at City University of Hong Kong and her Ph.D. degree in Computer Science and Engineering at The Chinese University of Hong Kong. Her PhD supervisors are Prof. Irwin King and Prof. K. S. Leung. Before her appointment as an Assistant Professor in 2019, Dr. Yuen has over 10 years’ teaching experience at tertiary education and working on various research projects at different universities. She is an IEEE Senior Member (SMIEEE), an ACM Senior Member (SMACM), a Cisco Certified Academy Instructor (CCAI), a Chartered Engineer (CEng) recognized by Engineering Council, a Member of Institution of Engineering and Technology (MIET) and a Member of The Hong Kong Institution of Engineers (HKIE). Dr. Yuen’s research interests include advanced technologies adoption, crowdsourcing, human computation, big data application, data mining, machine learning and computer network.

Professor Hu Huisuan : Doctoral/Master Supervisor Doctoral Discipline: Control Science and Engineering Master's degree subject: Control Science and Engineering PhD and Master Research Directions: Intelligent Network and Control On-campus work unit: School of Mechanical and Electrical Engineering Main Experience ♦Current position: Professor and PhD/Master's Supervisor at Xidian University ♦2012.05 - 2013.05 Research Scholar, Nanyang Technological University, Singapore ♦2008.03 - 2012.03 Visiting Scholar, New Jersey Institute of Technology/Rowan University, USA ♦2010.01 - 2010.12 Visiting Professor, King Saud University, Saudi Arabia ♦2005.03 - 2010.06 PhD student at Xidian University ♦2002.08 - 2005.02 Master's degree student at Xidian University Main research directions. 1. Discrete event system supervisory control and its application 2. Real-time scheduling and control of automatic manufacturing systems 3. Traffic network control considering performance improvement 4. Industrial protocol design and logic supervision control 5. Fault diagnosis and control of smart grid Main research directions.

Professor Sue Black named in the list of top 50 women in tech in Europe, and winner of the Lifetime Achievement Award at the Lovie Awards 2018, Sue is one of the leading tech personalities in the UK today. However, Sue hasn’t had a traditional start to her career. She left home and school at 16, married at 20 and had 3 children by the age of 23. A single parent at 25 she went to University, gained a degree in computing then a PhD in software engineering. Sue shares her remarkable and inspiring story of one woman’s determination to succeed, talks about her passion for getting everyone excited about the opportunities that technology offers and how she built a successful career through education and a desire to succeed.

Simon X. Yang received the B.Sc. degree in Engineering Physics from Peking University, Beijing, China, the first of two M.Sc. degrees in Biophysics from the Chinese Academy of Sciences, Beijing, the second M.Sc. degree in Electrical Engineering from the University of Houston, Houston, TX, and the Ph.D. degree in Electrical and Computer Engineering from the University of Alberta, Edmonton, AB, Canada. Dr. Yang is currently a Professor and the Head of the Advanced Robotics and Intelligent Systems Laboratory at the University of Guelph, Guelph, ON, Canada. Prof. Yang’s research interests include robotics, intelligent systems, control systems, sensors and multi-sensor fusion, wireless sensor networks, bio-inspired intelligence, neural networks, machine learning, fuzzy systems, evolutionary computation, intelligent agriculture, intelligent communications, intelligent transportation, and computational neuroscience. Prof. Yang has been very active in professional activities. He has been served as the Editor-in-Chief and Associate Editor of several international journals, and has involved in the organization of many international conferences. He was on the grant review panel of NSERC, CIHR and several other grant agencies.

Kaoru Sumi is a professor in Future University Hakodate, Japan. Prof. Sumi received her Ph.D. in engineering from the University of Tokyo. She is currently working on Human Agent Interaction, Persuasive technology, Artificial Intelligence in Education, Affective Computing, and Interactive Digital storytelling. She previously worked at ATR MI&C Research Laboratories, Communications Research Laboratory, and Osaka University, National Institute of Information and Communications Technology and Hitotsubashi University. She was a visiting professor in British Columbia, Canada. ACM Senior Member, IEEE Senior Member, IEEE Sapporo Section Board of Directors, IEEE Women in Engineering Sapporo Section Chair.

Prof. Vali Lalioti, Creative XR and Robotics, is a pioneering designer, computer scientist and innovator. She is the Director of Programmes, Creative Computing Institute (CCI), University of Arts London (UAL). Vali has a PhD in Computer Science, an MRes in Design from Royal College of Art (RCA) and an MBA, with extensive international leadership, research and innovation experience in Silicon Valley, Africa, China, Japan and Europe. Vali is passionate about how society and technology interact. She helped develop the world’s first Virtual Reality (VR) systems in Germany and built a cross cultural VR research centre, as a Professor of Computer Science in post-apartheid South Africa. She developed the first ever BBC Augmented Reality production in 2003, which won the Royal Television Society judges award. Vali's robotics research focuses on human-robot interaction and designing robotic movement with culture in mind and for societal applications including well-being, healthy aging and the future of work. Vali’s research has been published extensively in books, academic journals and international conferences. Her VR/AR and robotic designs won innovation awards and she’s been interviewed by WIRED, Dezeen, BBC Horizon and the UK press. She has led EU and InnovateUK funded research projects and delivered Knowledge Exchange Professor with global business schools and consulting at FTSE-100 companies and non-profits in China, USA and Europe. Founder-Director of The Innovation Consultancy, Vali is at the forefront of cutting-edge developments in technology, design and the arts, including a ground-breaking VR/XR platform to help performers and live venues hit hard by Covid-19. Vali leads the development of exciting new courses in Robotics, Computer Science and AI and directs the Institute's BSc, MSc, MA and Diploma courses. She leads a diverse team of designers, artists, academics, researchers and computer scientists through a values-based approach that promotes diversity, inclusion and interdisciplinary learning principles.

Joseph K. H. Tan, PhD, is the Wayne C. Fox Professor of E-Business Innovation & E-Health, McMaster University, Hamilton, Ontario, Canada. Previously, Dr. Tan had served as Professor and Head, Information System and Manufacturing (ISM) Department, Wayne State University, and as Acting Chair of the Masters in Health Administration (MHA) Program, Department of Healthcare & Epidemiology, Faculty of Medicine, the University of British Columbia. Currently, as the Editor-in-Chief, the International Journal of Healthcare Information Systems & Informatics (IJHISI), Professor Tan sits on various journal advisory and editorial boards as well as on numerous organizing committees for local, national, and international meetings and conferences. Professor Tan is well published and his research, which has enjoyed significant support in the last 21 years from local, national, and international funding agencies and other sources, has also been widely cited and applied across a number of major disciplines, including health care informatics and clinical decision support, health technology management research, human processing of graphical representations, ergonomics, health administration education, telehealth, mobile health, and e-health promotion programming. His hobbies include writing and editing books, book chapters, and journal articles; working on collaborative grant projects; engaging in philosophical discussions with colleagues and peers; and reading his son’s work.

A visionary and facilitator who has driven digital and AI transformation in organizations since the 1990s, leveraging extensive technological expertise. With nearly 30 years of global experience in sales, strategic planning, and business development, spanning various industries including major players in the global information technology, finance, media, and telecommunication sectors. Constantly driven by a passion for learning and sharing knowledge, always willing to adapt and educate. A skilled organizer and team player, renowned for identifying and capitalizing on emerging business opportunities. Possesses in-depth knowledge of potential new products and services, both from a business and technological perspective, specifically focusing on AI innovations. Excels as an empathetic storyteller, captivating audiences in keynote speeches and academic institutions, instilling a hunger for knowledge that resonates with the essence of our world and its continual improvement. A visionary who constantly seeks metaphors and paradigms, exploring the depths of our existence. Passionate about the practical applications of science, including AI, in our everyday lives, with a keen interest in music, arts, painting, and various forms of human expression. Offers valuable advisory services to investors and multinational companies venturing into new geographic markets, including Europe, the USA, and Africa. Actively collaborates with the United Nations in efforts to uplift developing countries. Additionally, he holds roles as an independent journalist, sought-after keynote speaker at international events, columnist, and esteemed university lecturer.

Professor Ian R. McAndrew FRAeS is a very highly qualified academic with extensive experiences within industry and internationally recognised researcher with extensive teaching experience at all levels of education. Conference and Journal publication of 92 over 34 years, six books and numerous Keynote presentations around the world. Has supervised 191 students to their doctoral completion in USA, UK, Germany, Greece, Italy, Jordan, Singapore, Malaysia, UAE, Kenya and South Africa. Extensive consultancy experience internationally for multi-nations and organisations.

Xinwei Cao received the bachelor's degree from Shandong University, China, the master's degree from Tongji University, China, and the Ph.D. degree from Fudan University, China, under a joint education program with School of Business, Chinese University of Hong Kong, all in management. She is currently a Full Professor with School of Business, Jiangnan University, China. Her research interests include operations research, operational management, computational and quantitative finance, robot/multi-robot management and control, control and decision making.

Kaya Kuru received the B.Sc. degree from the National Defense University (Turkish Military Academy), the ADP/Major degree in computer engineering from Middle East Technical University (METU), the M.B.A. degree from Selçuk University, and the M.Sc. and Ph.D. degrees in computer science from METU. He completed his postdoctoral studies with the School of Electronics and Computer Science, University of Southampton, U.K. He worked as a DBA, a SW Developer, a SW Development Manager, and an IT Manager with the IT Department at the world`s largest university for health, the University of Health Sciences, Turkey for a period of 15 years. He is a Software Engineer and currently an Associate Professor of computer-information systems engineering. He has recently engaged in the implementation of numerous AI-based real-world systems within various funded projects. His research interests include the development of geo-distributed autonomous intelligent systems using FL, ML, DL, and DRL with CPSs.

Jiaxin Cai received his Ph.D. degree in Information and Computation Science from Sun Yat Sen University in 2014. He also received his M.S. degree and B.Sc. degree in Bio-medical Engineering from Southern Medical University in 2011 and 2008 respectively. Currently, he is an associate professor in the School of Mathematics and Statistics at Xiamen University of Technology. He has authored over 40 peer-reviewed papers at academic journals and conferences. His current research interests include machine learning, computer vision and bio-medical engineering.

Yilun Shang received his B.S. and Ph.D. degrees in Mathematics from Shanghai Jiao Tong University. He is an Associate Professor of Computer Science and Head of Subject for Data Science and Artificial Intelligence at Department of Computer and Information Sciences. His research interests include complex networks and systems, probability and analysis, algebra and combinatorics, algorithms and optimization, data science and artificial intelligence.

Muhammad Mokhzaini Azizan is an Associate Professor at Universiti Sains Islam Malaysia, and his work revolves around Engineering fields, majoring in Power and Energy, Renewable Technologies, Artificial Intelligence, Wireless Power Transfer and Security, and Image Processing, among others. His doctoral thesis focused on Power Transformers and Power Quality and has since produced a wide range of solutions to power quality-related problem statements. Due to rapid advancements in intelligence in systems, he embraced Artificial Intelligence, Image Processing, etc for a greater impact on the communities. He continues to produce translational research for wider communities, for example through the use of AI and ML, the behavior of a herd of elephants can be tracked, and innovations such as dryers and machines are benefitting small and medium enterprises in Malaysia. He was the head of an innovation company that provided intelligent solutions, intellectuals, etc for various businesses, through strategic ventures between academic and industry players. He is also a Malaysian Professional Engineer and Professional Technologist since 2020. He was appointed Deputy Dean (Research and Innovation) in 2023 and is currently working to facilitate research and innovation profile at the Faculty of Engineering and Built Environment.

Dr Hongbin Ma has been a Professor at the School of Automation, Beijing Institute of Technology since he joined Beijing Institute of Technology in 2009. He received his bachelor degree from Zhengzhou University in 2001 and doctoral degree from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences in 2006. He joined Bell Labs Research Center at Beijing in March of 2006 and later joined Temasek Laboratories, National University of Singapore in August 2006 as a Research Scientist. His research focuses on adaptation, learning and recognition, especially adaptive estimation and control, as well as their applications in robots, smart cars, and UAVs. He is also a senior member of IEEE and Automation Society of China. Dr. Ma is the principle investigator of several scientific projects supported by National Natural Science Foundation (NSFC), the programme of New Century Excellent Talents in University by Ministry of Education, the programme of Beijing Outstanding Talents Project, and so on. He also won several awards, such as Beijing Natural Science Award, Wu Wenjun Artificial Intelligence Award, Outstanding Research Work Award, etc. Dr. Ma has published more than 100 academic papers in reputable journals or conferences. And under his supervision, a dozen of students have performed well in scientific research, innovation contests, and are establishing themselves.

Muhammad Usman Haider serves as an AI Solutions Architect at STC, where he plays a pivotal role in shaping the future of data-driven decision-making within the organization. With a robust background in Data Analytics and Artificial Intelligence, he is adept at navigating the complexities of data strategy and implementation. His current responsibilities include leading strategic initiatives that focus on Big Data Analytics, AI architecture, and the development of comprehensive data platforms. Usman's expertise is particularly evident in his ability to design and implement petabyte-scale analytics ecosystems that empower organizations to harness the full potential of their data. He is instrumental in driving projects that leverage machine learning and applied analytics to deliver actionable insights, thereby enhancing business intelligence and data management lifecycles. His proficiency in tools and technologies such as SQL, Oracle, and Amazon Web Services (AWS) allows him to create robust data solutions that are both scalable and efficient. As a seasoned technical leader, Usman excels in pre-sales technical consulting, where he collaborates with stakeholders to identify their unique challenges and tailor solutions that meet their specific needs. His experience with data mining and engineering further solidifies his capability to transform raw data into meaningful information, enabling organizations to make informed decisions. Through his work at STC, Usman is not only advancing the company's analytics capabilities but also contributing to the broader landscape of AI and data science in the industry.

A Fellow of the IEEE (class of 2008, for "contributions to scheduling techniques in parallel and distributed computing systems"), Dr. Ahmad received a BSc degree in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan, in 1985, and an MS degree in Computer Engineering and a PhD degree in Computer Science from Syracuse University, New York, U.S.A., in 1987 and 1992, respectively. Prior to that, for his secondary school education he studied at Lahore's Govenment College, the prestigious school that has been attended by the likes of Nobel Laureates, Dr. Abdus Salam and Dr. Har Gobind Khorana, the great Urdu Poet Dr. Sir. Muhammad Iqbal, and the star cricket player Majid Khan. His research has been in the broader areas of smart systems, parallel and distributed computing systems and their applications, optimization algorithms, multimedia systems, video compression, assistive technologies, robotics, and energy-aware sustainable computing. His research work in these areas is published nearly 275 articles in books, and peer-reviewed journals and conference proceedings. in refereed journals and conferences including His research work in wider range of topics is widely cited with over 22,000 citations to his papers. One of his papers was ranked 4th among the top ten All-Time Most Cited Papers published in the IEEE Transactions on Parallel and Distributed Systems. His well-known work also includes papers on parallel program scheduling, survey on task graph scheduling, energy-ware performance optimization, survey on video transcoding, techniques for parallelizing scheduling and video compression, techniques for rate control and motion estimation in video coding, and survey on energy-aware task scheduling and temperature-aware task scheduling on parallel and distributed computing systems. He was one of the earliest researchers who built a software-based video phone (see picture). He has received numerous research awards including elevation to the IEEE Fellow status and best paper awards at Supercomputing '90 conference (New York), Supercomputing `91 conference (Albuquerque, New Mexico), and 2001 International Conference on Parallel Processing (Spain). He also received the 2007 Best Paper Award for IEEE Transactions on Circuits and Systems for Video Technology, awarded at the 2007 ISCAS conference in New Orleans, IEEE Service Appreciation Award, and 2008 Outstanding Area Editor Award from the IEEE Transactions on Circuits and Systems for Video Technology. He joined the Computer Science and Engineering (CSE) Department of the University of Texas at Arlington in 2002 as full professor. He leads the Center for Advanced Computing Systems, which is committed to advancing the frontiers of computing by inventing cutting-edge systems, software, and applications. Prior to joining UT Arlington, he was an associate professor in the Computer Science Department at Hong Kong University of Science and Technology (HKUST). At HKUST, he also directed the Multimedia Technology Research Center, an officially recognized research center that he conceived and built from scratch in collaboration with Prof. Ming Liou. The center received funding from various agencies of the Government of the Hong Kong Special Administrative Region of China as well as local and international industries. With more than 70 industrial partners and 40 personnel including faculty members, postdoctoral fellows, full-time staff, and graduate students, the center engaged in numerous R& D projects with academia and industry from Hong Kong, China, Europe, and the U.S. The center commercialized several of its technologies to its industrial partners world wide. See the group picture. Prof. Ahmad holds honorary professor positions at the University of Electronic Science and Technology, Chengdu, China, (see pic) and Amity University (pic), Dubai, U.A.E, and is a senior visiting scientist at the Institute of Computing Technology (Chinese Academy of Sciences) in Beijing, China, and the U.S. Airforce Research Lab, Rome, New York. He has also taught courses on supercomputing and parallel programming techniques to NASA engineers and scientists at the Johnson Space Center, Houston, Texas. He is a certified ABET evaluator. Dr. Ahmad's current research is funded by the U.S. Department of Justice (DOJ), National Science Foundation (NSF), Department of Education (GAANN Project), Air Force Research Lab, Semiconductor Research Corporation (SRC), Adobe Inc., Texas Instruments, and Sun Microsystems. He is leading several efforts in sustainable computing and computing for sustainability. This includes launching of a new journal with Elsevier, Sustainable Computing: Informatics and Systems (SUSCOM)) of which he is the founding editor-in-chief, and launching of the International Green Computing Conference. Currently, he is the general chair of ICDIS.. He has served on the program committees of over 135 international conferences (including 29 in leading roles). He served on the editorial board of IEEE Transactions on Circuits and Systems for Video Technology, IEEE Concurrency, IEEE Transactions on Multimedia, IEEE Distributed Systems Online, Sustainable Computing: Informatics and Systems (SUSCOM)), Journal of Parallel and Distributed Computing, IEEE Transactions on Parallel and Distributed Computing Systems. He was also a guest editor of a Special Issue of IEEE Transactions on Parallel and Distributed Systems -- Power-Aware Parallel and Distributed Systems (PAPADS) , and Special Issue of IEEE Transactions on Circuits and Systems for Video Technology- Video surveillance.

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Dr. Seemal Asif has over 14 years of experience in research development and delivery in the field of Automation, Robotics, and Systems Integration. Dr Asif is the Co-Investigator on a £1.3 million EPSRC-funded project (EP/V051180/1, 'Reconfigurable robotics for responsive manufacture - R3M'), a £4.8 million EPSRC-funded Made Smarter Innovation Project (EP/V062158/1) and ATI-funded Airbus project for Module -Positioning (AutoRamp; TRL: 5-7). I currently co-manage these projects from Cranfield University (CU) side and look after the research deliverables, providing research direction to Research Assistants, horizontally collaborating with research partners and developing the architecture for systems. The projects require collaboration and communication between academic and industry partners including Airbus, Rolls Royce, Spirit Aero and GKN. Dr Asif has been involved in several projects sponsored by Airbus, EPSRC and Innovate UK. She has currently one ATI funded grant for 3D Xray Imaging and one Airbus funded project for the large structure positioning automation. She has been instrumental in setting up the Human-robot Interaction for gesture control. One of her research projects focuses on the Relatime Error Correction and Compensation for the Industrial Robots on an open Network. She has an interest in Swarm Intelligence and Hybrid communication. Her work for assembly and automation has been recognised and respected widely. She has completed her Ph.D. in Robotics and Intelligent Automations at Cranfield University. Seemal received her MSc Software Engineering from the University of York in 2010 and then joined the Intelligent Automation group at the Centre for Structures, Assembly, and Intelligent Automation at Cranfield University as a Research Fellow. Seemal has worked for 4 years in the software engineering industry in an institutional environment where she had the opportunity to research supportive tools for the University. During this time, she worked on multiple projects at various levels from developer to project manager. She is interested in researching automation, robotics, intelligent automation, machine learning, artificial intelligence, software engineering, formal methods, and control theory. Being naturally inclined towards academia, she finished her MSc Computer Science in 2009 and obtained Eureka Scholarship for the MSc Software Engineering in York. She is a gold medallist for both her Undergrad and Masters. As part of Cranfield University, she developed the Flexible Cell Coordinator (FLEXA). Flexa was the Seventh Framework Programme (FP7) project with the involvement of companies like Volvo Aero, Rolls-Royce, Avio, MTU (Germany), etc. She teaches and supervises MSc and PhD students in Robotics, Machine Learning, and IoT and Artificial Intelligence. She is registered as a Chartered Engineer (CEng) by British Engineering Council and recognized as a Fellow of the British Higher Education Academy (FHEA) in the UK and a member of the Institute of Engineering and Technology (IET).

Biography: Pascal Lorenz (lorenz@ieee.org) received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in referred journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since (2015-2020), IEEE Transactions on Vehicular Technology since 2017, IEEE Internet of Things Journal since 2024, Chair of IEEE ComSoc France (2020-2024), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017), Chair of IEEE/ComSoc Satellite and Space Communications Technical (2022-2023), IEEE R8 Finance Committee (2022-2024), IEEE R8 Conference Coordination Committee (2023). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is a senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.