Prof. Yonghui Li, The University of Sydney, Australia
Biography: Yonghui Li is now a Professor and Director of Wireless Engineering Laboratory in School of Electrical and Information Engineering, University of Sydney. He is the recipient of the Australian Research Council (ARC) Queen Elizabeth II Fellowship in 2008 and ARC Future Fellowship in 2012. He is an IEEE Fellow. His current research interests are in the area of wireless communications, with a particular focus on IoT, machine to machine communicaitons, MIMO, millimeter wave communications, channel coding techniques, game theory, machine learning and signal processing. Professor Li was an editor for IEEE transactions on communications, IEEE transactions on vehicular technology and guest editors for several special issues of IEEE journals, such as IEEE JSAC, IEEE IoT Journals, IEEE Communications Magazine. He received several best paper awards from IEEE conferences. He has published one book, more than 280 papers in premier IEEE journals and more than 150 papers in premier IEEE conferences. His publications have been cited more than 19000 times. He has participated in $500 Millions Australia national demonstration project“Smart Grid Smart City” and designed last mile access networks.
Prof. Leopoldo Angrisani,University of Napoli Federico II, Italy
Biography: Leopoldo Angrisani is Full Professor of Electrical and Electronic Measurements with the Department of Information Technology and Electrical Engineering of the University of Naples Federico II, Italy. He is also Chair of the Board of the Ph.D. Program ICTH - Information and Communication Technology for Health - and General Manager/Director of CeSMA – Center of Advanced Measurement and Technology Services - of University of Naples Federico II.
His research activity is currently focused on Internet of Things and cyber-physical measurement systems; green soft-growing sensors; measurement sustainability; measurement uncertainty; measurements for Industry 4.0; communication systems and networks test and measurement. He was and is currently involved in many industrial research projects, in cooperation with small, medium and great enterprises, for which he played and is currently playing the role of scientific coordinator. He is currently the Coordinator of the Technical/Scientific Committee of MedITech – one of the eight Italian Competence Centers on I4.0 enabling technologies.
He is Fellow Member of the IEEE Instrumentation and Measurement and Communications Societies, Chair of the IEEE Instrumentation & Measurement Society Italy Chapter, Honorary Chairman of the first (M&N 2019) and second (M&N 2022) edition of the IEEE International Symposium on Measurements & Networking, General Chairman of the second edition (MetroInd4.0&IoT 2019) of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, and General Chairman of the first edition (IEEE MeAVeAS 2023) of the IEEE International Workshop on Measurements and Applications in Veterinary and Animal Sciences. He is vice-chair of the Italian Association “GMEE-Electrical and Electronic Measurements Group”, and corresponding member of the Accademia Pontaniana in Naples, the oldest Italian academy, with almost 600 years of history, which has always brought together renowned Neapolitan scholars. In 2009, he was awarded the IET Communications Premium for the paper entitled “Performance measurement of IEEE 802.11b-based networks affected by narrowband interference through cross-layer measurements” (published in IET Communications, vol. 2, No. 1, January 2008).
The IEEE Instrumentation & Measurement Society Italy Chapter, which he has been chairing since 2015, was awarded in 2016 the prestigious recognition “I&M Society Best Chapter Award” by the IEEE Instrumentation & Measurement Society, in 2017 the prestigious recognition “Most Improved Membership Chapter for 2016” by the IEEE Italy Section, in 2018 the prestigious recognition “Most Innovative Chapter 2018” by the IEEE Italy Section, and in 2021 the prestigious recognition "Chapter of the Year 2021" by the IEEE Region 8 (Europe, Middle Est, Africa).
In 2021, he was awarded the prestigious recognition “2021 IEEE Instrumentation and Measurement Society Technical Award” with the following citation “For contributions in the advancement of innovative methods and techniques for communication systems test and measurement”.
Prof. Reynold Cheng, University of Hong Kong, China
Associate Dean of Engineering in the University of Hong Kong
World’s Top 2% Scientists by Stanford University in 2022
2023 AI 2000 Most Influential Scholar Honorable Mention in Database
Speech Title: Data Science for Social Goods: STAR Lab’s Experience
Abstract: In many metropolitan cities, there is a lack of manpower in social care. In Hong Kong, for example, the elderly care homes report a 70% shortage of employees. To alleviate these issues, recently there is a lot of attention on “data science for social goods”, or the use of technologies for enhancing service quality and streamlining administrative work of social workers. In this talk, I will discuss how the HKU STAR (Social Technology And Research) Lab uses data science technologies to support elderly and family care services. I will first introduce HINCare, a software platform that provides volunteering and cultivating mutual-help culture in the community. HINCare uses the HIN (Heterogeneous Information Network) to recommend helpers to elders or other service recipients, and is now supporting 14 NGOs and 7,000 users. I will also discuss our collaboration with the Hong Kong Jockey Club Charities Trust for developing a novel case management and data analysis system for 40% of the family care centers in Hong Kong. These projects have received an HKICT Award, Asia Smart App Awards, and HKU Faculty Knowledge Exchange Awards.
Biography: Professor Reynold Cheng is a Professor of the Department of Computer Science, an Associate Dean of Engineering, and an Associate Director of the Musketeers Foundation Institute of Data Science in the University of Hong Kong (HKU). His research interests are in data science, big graph analytics and uncertain data management. He was the Assistant Professor in the Department of Computing of the Hong Kong Polytechnic University (HKPU) from 2005 to 2008. He received his BEng (Computer Engineering) in 1998, and MPhil (Computer Science and Information Systems) in 2000 from HKU. He then obtained his MSc and PhD degrees from Department of Computer Science of Purdue University in 2003 and 2005.
Professor Cheng is listed as the World’s Top 2% Scientists by Stanford University in 2022, and is named the 2023 AI 2000 Most Influential Scholar Honorable Mention in Database. He received the SIGMOD Research Highlights Reward 2020, HKICT Awards 2021, and HKU Knowledge Exchange Award (Engineering) 2021. He was granted an Outstanding Young Researcher Award 2011-12 by HKU. He received the Universitas 21 Fellowship in 2011, and two Performance Awards from HKPU Computing in 2006 and 2007. He is an academic advisor to the College of Professional and Continuing Education of HKPU. He is a member of IEEE, ACM, ACM SIGMOD, and UPE. He was a PC co-chair of IEEE ICDE 2021, and has been serving on the program committees and review panels for leading database conferences and journals like SIGMOD, VLDB, ICDE, KDD, IJCAI, AAAI, and TODS. He is on the editorial board of KAIS, IS and DAPD, and was a former editorial board member of TKDE.
Prof. Sandeep Joshi, Manipal University Jaipur, India
Dr. Sandeep Joshi, A qualified academician with B.E., MTech., Ph.D. He is working as a professor at the Department of Computer Science & Engineering at Manipal University Jaipur (MUJ), Jaipur, India.
He has a rich academic experience of 22+years along with administrative experience as Head of the department and Deputy Director -Society Connect.
He is a senior member of IEEE and a member of ACM. He has served as session chair of reputed conferences. He has organized many conferences and symposiums. He is serving as general chair for the ICCT (www.icct.co.in) and SpacSec (www.spacsec.com) conference series. Apart from that he has organized many faculty development programs on various emerging topics of Computer Science & Engineering.
He has served as guest editor of the special issue of IJCS (Scopus Index –Taylor & Francis). He secured the best paper award presented at the World Conference On Applied Sciences, Engineering and Technology (WCSET 2015) at GSST, Kumamoto University, Japan He has hosted the post of Keynote Speaker at many conferences, such as the 21st and 22nd International Conferences on Information and Systems at Jorge Basadre Grohmann National University, Tacna Peru and 1st Global Conference on Artificial Intelligence and Applications GCAIA 2020 at Jaipur, India.
He has presented and published more than 60 papers in reputed journals and conferences of international repute. He has reviewed many research papers for reputed journals and conferences. His research interest covers security, network, and cloud computing. He is well connected with societal work through various agencies and is very much concerned about the uplifting of society and a green environment.
Associate Prof. Syed Mushhad M. Gilani, University of Agriculture, Faisalabad
Speech Title: Blockchain and AI: The Future of Agriculture
Abstract: The rapidly increasing global population is raising environmental risk factors and challenges in agriculture, such as crop losses, unplanned production, severe temperatures, market fluctuations, and an increase in the world's food demand. The conventional techniques are insufficient to overcome these challenges. Therefore, integrating AI and Blockchain Technology can overcome these issues and enhance productivity. AI brings predictive analytics to agriculture, enabling data-driven decision-making. AI can analyze diverse datasets using machine learning algorithms encompassing weather patterns, soil conditions, crop health, and historical yield data. These advanced machine learning algorithms give accurate crop forecasting, disease detection, and optimized resource allocation and automate labor-intensive tasks such as planting, harvesting, and monitoring, reducing human error and labor costs. A practical solution for agricultural product sustainability, quality, and safety is blockchain technology. Blockchain technology addresses issues with trust, traceability, supply chain, and data integrity. Blockchain minimizes the need for intermediaries and distribution delays of any product and payment delays using rule-based smart contracts such as enforcing agreements between parties. Integrating blockchain and AI technology has incredible potential for increasing agricultural productivity.
Biography: Dr. Syed Mushhad Mustuzhar Gilani is an Associate Professor of the Department of Computer Science, an Associate Senior Tutor, a Postgraduate Research Advisor, and convener of the QEC committee and various other committees at the University of Agriculture Faisalabad. He was an Assistant Professor (Computer Sciences) / Research Advisor for Postgraduate Students at PMAS-Arid Agriculture University Rawalpindi from 2012 to 2022. He received his Ph.D. from the School of Computer Science at Chongqing University of Posts and Telecommunication, China.
He has published more than 60 papers in peer-reviewed international journals and conferences. He has successfully supervised postgraduate students. He has served as session chair of reputed conferences. He has reviewed many research papers for reputable journals and conferences. He received an excellent Speaker Award at (Ted Talk) Youth Festival 2017 of Chongqing University of Posts and Telecommunication, China. His research interests include Future Internet Architecture, Software Defined Wireless Networks, IoT, and Smart Environments.