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    Prof. Pascal Lorenz, University of Haute-Alsace, France, France

    Speech Title: Advanced architectures of Next Generation Wireless Networks

    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 refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), 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). 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 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.

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    Dr. Salin Mikhail Borisovich,Institute of Applied Physics of the Russian Academy of Sciences, Russia

    Speech Title: "Usage of single-camera video recording to measure surface roughness in sea with machine learning methods applications"

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    Prof. Xin Xu, Wuhan University of Sciences and Technology, China

    Speech Title:Exploring Image Enhancement for Salient Object Detection in Low Light Images

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    Prof. Hongjun Wang ,Southwest Jiaotong University,China

    Speech Title: discriminative representation learning

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    Dr. Mohsen Kazemiann Yazd university,Ira

    Mohsen Kazemian (S13, M16) received his Ph.D and postdoctoral in Wireless Telecommunications Engineering from Universiti Putra Malaysia, Malaysia and Yazd-Ryerson universities, Canada, in Oct. 2016, and Sep. 2021, respectively. Currently, he is an assistant Professor in Yazd university, Iran. His research interests include resource allocation, jamming and privacy/security-preserving in 5G NR/6G wireless networks.

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    Prof. Sudan Jha,SM-IEEE, Co-Editor-in-Chief, Professor - Department of Computer Science and Engineering, School of Engineering, Kathmandu University, Nepal

    With a total 21+ years of teaching, research and industrial experience, Prof. Sudan Jha is a Senior IEEE member; Editor-in-Chief, International book series editor and acclaimed Principal Scientist. He received his first Ph.D. degree in 2015 and second in 2019*; presently working as a Professor in Department of Computer Science & Engineering, Kathmandu University, Nepal. Previously, he has worked in reputed universities in India. His research area of interest includes Internet of Things, Artificial Intelligence, Machine Learning (Deep Learning), Neutrosophic theory and Neutrosophic Soft Set Systems.

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    Prof. Anand Nayyar Duy Tan University, Vietnam

    Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks, Swarm Intelligence and Network Simulation. He is currently working in School of Computer Science-Duy Tan University, Da Nang, Vietnam as Assistant Professor, Scientist, Vice-Chairman (Research) and Director- IoT and Intelligent Systems Lab. A Certified Professional with 100+ Professional certificates from CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 140+ Research Papers in various High-Quality Web of Science, ISI-SCI/SCIE/SSCI Impact Factor Journals cum Scopus/ESCI indexed Journals, 70+ Papers in International Conferences indexed with Springer, IEEE and ACM Digital Library, 40+ Book Chapters in various SCOPUS, WEB OF SCIENCE Indexed Books with Springer, CRC Press, Wiley, IET, Elsevier with Citations: 6800+, H-Index: 42 and I-Index: 150. Member of more than 60+ Associations as Senior and Life Member including IEEE, ACM. He has authored/co-authored cum Edited 40+ Books of Computer Science. Associated with more than 500+ International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 18 Australian Patents, 4 German Patents , 1 Japanese Patent, 11 Indian Design cum Utility Patents, 3 Indian Copyrights and 2 Canadian Copyrights to his credit in the area of Wireless Communications, Artificial Intelligence, Cloud Computing, IoT and Image Processing. Awarded 38+ Awards for Teaching and Research—Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more. He is listed in Top 2% Scientists as per Stanford University (2020, 2021). He is acting as Associate Editor for Wireless Networks (Springer), Computer Communications (Elsevier), International Journal of Sensor Networks (IJSNET) (Inderscience), Frontiers in Computer Science, PeerJ Computer Science, Human Centric Computing and Information Sciences (HCIS), IET-Quantum Communications, IET Wireless Sensor Systems, IET Networks, IJDST, IJISP, IJCINI, IJGC. He is acting as Editor-in-Chief of IGI-Global, USA Journal titled “International Journal of Smart Vehicles and Smart Transportation (IJSVST)”. He has reviewed more than 2000+ Articles for diverse Web of Science and Scopus Indexed Journals. He is currently researching in the area of Wireless Sensor Networks, Internet of Things, Swarm Intelligence, Cloud Computing, Artificial Intelligence, Drones, Blockchain, Cyber Security, Network Simulation, Big Data and Wireless Communications.

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    Prof. GUANGHUI (RICHARD) WANG University of Kansas,USA

    Senior IEEE Member, Professor of Electrical Engineering & Computer Science, University of Kansas,USA, and Director of Computer Vision Laboratory, ITTC Research Center.

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    Jun Gou School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

    Title: Absorption enhancement in vertically illuminated high-speed Si-based photodiodes with photon-trapping hole arrays

    Abstract: Low cost monolithically integrated photodiodes on silicon (Si) with high efficiency and high speed are highly desirable in optical communication, signal measurement and other fields. It is difficult for a traditional Si photodiode used predominantly in the visible wavelength regime to meet the requirements both on high efficiency and high speed at near-infrared wavelengths. Therefore, the absorption of the intrinsic layer needs to be effectively enhanced without increasing the thickness. In this work, a Si film based photodetector integrated with periodic photon-trapping holes is proposed, which can ensure ultra-fast response speed and significantly enhance the absorption of near-infrared light. Using both theoretical and experimental approach, the authors investigate the effects of hole shape, substrate, hole diameter and period on light trapping and absorption enhancement in the photodiodes. High speed (FWHM < 30 ps) and high efficiency (EQE > 60%) Si based infrared detector is realized. More than 500% enhancement of EQE is achieved compared to a photodiode in the absence of photon-trapping hole structures.