Assoc.
Prof. Yanqing Hong
Shenyang University of Technology, China
Yan-Qing Hong
received his BS degree in electrical and
electronic engineering at Xi'an University
of Technology, Xi'an, China, in 2005, his MS
degree in electrical and electronic
engineering at Coventry University,
Coventry, United Kingdom, in 2015, and his
PhD degree in electrical and electronic
engineering at Yonsei University, Seoul,
Republic of Korea, in 2020. He is currently
an associate professor with the School of
Information Science and Engineering,
Shenyang University of Technology. His
current research interests include
free-space optical communications,
visible-light communications, machine
learning. He is a technical chair in 2023
International Conference on Big Data,
technical committee member in Workshop on
Electronics Communication Engineering (WECE
2023), early career editorial board member
in Journal of Xi’an Shiyou University
(Natural Science Edition), and early career
editorial board member in Journal of Naval
Aviation University.
Dr.
Paulo Batista
University of Évora, Portugal
Paulo Batista is
PhD Researcher at
CIDEHUS.UÉ-Interdisciplinary Center for
History, Cultures and Societies of the
University of Évora, Portugal, where is the
coordinator of the research group 2:
Heritage and Literacies. Currently works as
a higher technician in the Municipal
Archives of Lisbon, and professor at the
Iscte-IUL and Autonomous University of
Lisbon, where is coordinator and professor
of the Postgraduate in Promotion and
Cultural and Educational Dynamization of
Archives and Libraries, and the Postgraduate
in Architectural Archives.
Paulo Batista holds a Ph.D. in Documentation
(University of Alcalá, Madrid) and is author
of several books and about 90 papers
published in international journals and
conference proceedings. He was also keynote
speaker and invited speaker at various
international conferences (Portugal,
Argentina, Ecuador, Egypt, South Africa,
South Korea and India).
Latest published books and coordinated
journals: D. Manuel I: Cartography of a
Reign (with Sílvia Ferreira – IHA - NOVA
FCSH / IN2PAST, Caleidoscópio); Bulletin of
the Archive of the University of Coimbra -
International Architectural Archives (with
Paula André - Iscte-IUL, University of
Coimbra, 2023); Bulletin of the Archive of
the University of Coimbra - Portuguese
Architectural Archives (with Paula André -
Iscte-IUL, University of Coimbra, 2022);
Francisco Keil do Amaral Fund Catalog
(Lisbon City Halll/Lisbon Municipal
Archives, 2022);Cassiano Look: Photo Contest
(with Marta Gomes - AML/CML, Lisbon City
Halll/Lisbon Municipal Archives, 2021);
Cassiano Branco Fund Catalog (Lisbon City
Halll/Lisbon Municipal Archives, 2020). To
be published in 2023: Cities, Architecture
and Archives in the Ibero-American contexto
(with Paulo Tormenta Pinto - Iscte-IUL, Casa
da Arquitectura).
More
informations:
https://www.cienciavitae.pt//0618-CE7B-714
Previous Invited Speakers
Prof.
Nila Nilavalan
Brunel University London, UK
Dr. R. Nilavalan received the B.Sc. Eng in
electrical and electronics engineering from
University of Peradeniya, SriLanka in 1995
and PhD in Radio Frequency Systems from
University of Bristol, Bristol, UK in 2001.
From 1999 to 2005 he was a research
associate at the then Centre for
Communications Research (CCR) and department
of medical physics, University of Bristol,
UK. He joined the department of Electronic
and Electrical engineering, Brunel
University, London as a lecturer in 2005 and
currently a Reader in Electronics (RF &
Wireless Comms.). He has supervised 16 PhD
students to successful completion and
currently leads a research group on RF and
microwave systems at Brunel university. His
research involved wireless communication and
radio frequency systems and has worked on
the use of post reception synthetic
focussing concepts for near-field imaging
radar for landmine detection and medical
applications. His funded research projects
include, Communication protocols for fire
safety products using IoT techniques, AI
based resource allocation for Massive
Connections (EU-6GBRAINS), IoT based
Diagnostic Platform for Rapid Detection of
Poultry Infectious Pathogens, retrofit
system for abatement of pollutants in
exhaust gases, Diversity techniques for
broadcasting (EU-PLUTO), broadband eddy
current system for detection of corrosion
under insulation, Investigation of RF
cavities for non-scaling fixed field
alternating gradient machines for hadron
therapy. He has authored and co-authored
over 150 publications in his research area
including two book chapters on RF-MEMS and
wireless communication. His work appeared in
several premier IET proceedings and IEEE
Transactions and Journals and has a patent
on “Methods and apparatus for measuring the
internal structure of an object” (EP
1850743). He was invited speaker at the
International Conference in Electromagnetic
in Advanced Application, ICEAA 2010, Sydney,
Australia and the URSI International
Symposium on Electromagnetic Theory, Pisa,
Italy, May 2004. He was a technical
programme committee member in 2nd
International Conference on Innovations in
Computer Science & Software Engineering
(ICONICS'18), 9th IEEE International
Conference on Advanced Computing, ICoAC
2017, IEEE International Workshop on
Electromagnetics, (iWEM 2017), Session
chair: IEEE International Symposium on
Broadband Multimedia Systems and
Broadcasting, BMSB 2013. 2013, 14th, 13th
and 10th Mediterranean Microwave Symposium
(MMS-2014, MMS-2013, MMS-2010) and Fourth
International Conference on Information and
Automation for Sustainability, SriLanka. Dr
Nilavalan was a member of the European
commission, Network of Excellence on
Antennas (2002 - 2005), senior member of the
IEEE, member of the IET and a fellow of the
higher education academy.
Assoc. Prof. Xin He
Shantou University, China
Xin He received the B.Eng. degree in
electronic information from Sichuan
University, Chengdu, China, in 2007, the
M.Eng. degree in information and
communication from the Beijing University of
Posts and Telecommunications, Beijing,
China, in 2010, and the Ph.D. degree in EEE
from The University of Hong Kong, Hong Kong,
in 2015. From 2015 to 2017, he was a
Research Fellow with the Department of EEE,
Nanyang Technological University, Singapore.
From 2017 to 2018, he was a Research
Assistant Professor with the Southern
University of Science and Technology,
Shenzhen, China. From 2019 to 2021, he was
with Shenzhen University, Shenzhen, China,
and Hanshan Normal University, Chaozhou,
China. He is currently an Associate
Professor with Shantou University, Shantou,
China. His research interests include
optimization and statistics for
communication beamforming and radar waveform
design.
Assoc.
Prof. Yanqing Hong
Shenyang University of Technology, China
Yan-Qing Hong received his BS degree in
electrical and electronic engineering at
Xi'an University of Technology, Xi'an,
China, in 2005, his MS degree in electrical
and electronic engineering at Coventry
University, Coventry, United Kingdom, in
2015, and his PhD degree in electrical and
electronic engineering at Yonsei University,
Seoul, Republic of Korea, in 2020. He is
currently an associate professor with the
School of Information Science and
Engineering, Shenyang University of
Technology. His current research interests
include free-space optical communications,
visible-light communications, machine
learning. He is a technical chair in 2023
International Conference on Big Data,
technical committee member in Workshop on
Electronics Communication Engineering (WECE
2023), early career editorial board member
in Journal of Xi’an Shiyou University
(Natural Science Edition), and early career
editorial board member in Journal of Naval
Aviation University.
Dr.
Shaoqing Hu
Brunel University London, UK
Dr. Shaoqing Hu (M’20) received the BEng and
MEng degrees from the University of
Electronic Science and Technology of China,
Chengdu, China, in 2013 and 2016, and the
Ph.D. degree from Queen Mary University of
London, London, UK, in 2020.
He is currently a lecturer with the
Department of Electronic and Electrical
Engineering, College of Engineering, Design
& Physical Sciences, Brunel University
London. Prior to this appointment, he was a
teaching associate, then teaching fellow
with the School of Electronic Engineering
and Computer Science, Queen Mary University
of London. He has authored or co-authored 40
papers in prestigious journals and
international conferences. His research
interests include millimeter wave/THz
security detection, sparse imaging,
antennas, arrays, engineering optimization
and wireless communication.
Dr Hu was a Session Chair of APS/URSI 2020,
TPC member of CNIS2023, ICVIP2021, ISAI
2017, ITA 2017, key member of local
organizing committee of 2014 7th and 2019
12th UK/Europe-China Workshop on
Millimeter-Waves and Terahertz Technologies
(UCMMT). He was also a recipient of Student
Paper Award with IEEE Asia-Pacific
Conference on Antennas and Propagation in
2015, and First Prize of Best Student Paper
Award with UK-Europe-China Workshop on
Millimeter Waves and THz Technologies in
2020. He is a member of IET, IEEE, SPIE (The
international society for optics and
photonics), working committee in UK of China
Institute of Communications, and
Electromagnetic Systems Interest Group: The
UK Radar Society. He serves as a Guest
Editor for a special issue on Remote
Sensing, referee for UK Doctoral Research
Award as well as many IEEE, IET, Hindawi and
MDPI journals including IEEE Transactions on
Geoscience and Remote Sensing, IEEE
Transactions on Microwave Theory and
Techniques, IEEE Transactions on
Instrumentation and Measurement, IEEE
Antennas and Wireless Propagation Letters,
IEEE Signal Processing Letters, IET
Microwaves, Antennas & Propagation,
International Journal of Antennas and
Propagation, and International Journal of RF
and Microwave Computer-Aided Engineering.
Asst.
Prof. Dingzhu Wen
ShanghaiTech University, China
Dingzhu Wen is currently an assistant
professor at the Network Intelligence Center
of the School of Information Science and
Technology at ShanghaiTech University. He
received the Bachelor degree and the Master
degree from the Department of Information
Science and Electronic Engineering of
Zhejiang University in 2014 and 2017,
respectively, and received the Ph. D. degree
from the Department of Electrical and
Electronic Engineering of The University of
Hong Kong in 2021. His research interests
include federated edge learning, edge
artificial intelligent inference, integrated
sensing, communication, and computation,
over-the-air computation, in-band
full-duplex communications, and
device-to-device communications. He served
as the session chairs of APEMC 2022 and IEEE
ICC 2023, the TPC members of IEEE ICC 2023,
IEEE GlobeCom 2022, IEEE VTC-Fall 2020, and
IEEE WCSP 2018, and the TPC co-chair of IEEE
PIMRC 2023 workshop on Edge Learning for 5G
Mobile Networks and Beyond. He was elected
as the exemplary reviewer of IEEE
Transactions on Wireless Communications in
2023.