Assoc.
Prof. Hovannes Kulhandjian
California State University, USA
Hovannes Kulhandjian (Senior Member, IEEE) received the M.S. and
Ph.D. degrees in electrical engineering from The State
University of New York at Buffalo, Buffalo, NY, USA, in 2010 and
2014, respectively. From December 2014 to July 2015, he was an
Associate Research Engineer with the Department of Electrical
and Computer Engineering, Northeastern University, Boston, MA,
USA. He is currently an Associate Professor with the Department
of Electrical and Computer Engineering, California State
University, Fresno, Fresno, CA, USA. His current research
interests include wireless communications, applied machine
learning, intelligent transportation systems, precision
agriculture underwater acoustic communications, visible light
communications, robotics and artificial intelegence. He actively
serves as a member of the Technical Program Committee for ACM
and IEEE conferences, such as IEEE GLOBECOM, ICC, PIMRC, and ACM
WUWNet, among others. He has served as a Guest Editor for IEEE
ACCESS and MDPI journals.
Assoc.
Prof. Psannis Konstantinos
University of Macedonia, Greece
Konstantinos E. Psannis was born and raised in Thessaloniki,
Greece. He is currently Professor in Communications Systems and
Networking at the Department of Applied Informatics, School of
Information Sciences, University of Macedonia, Greece, Director
of Mobility2net Research & Development & Consulting JP-EU Lab,
member of the EU-JAPAN Centre for Industrial Cooperation and
Visiting Consultant Professor, Graduate School of Engineering,
Nagoya Institute of Technology, Nagoya 466-8555, Japan.
Professor Psannis' research spans a wide range of ubiquitous 6G
AI-IoT/Big Data Cloud- Analytics/Digital Twins and
communications. This work is supported by research grants and
contracts from various government organisations. Konstantinos
received the Ph.D. degree from the School of Engineering and
Design, Department of Electronic and Computer Engineering of
Brunel University, London, UK [awarded the British Chevening
scholarship funded by the Foreign and Commonwealth Office (FCO)
and partner organizations]. Dr. Psannis has several highly cited
papers powered by Web of Science – Clarivate and received more
than 7000 citations (h-index 33, i10-index 85) Dr. Psannis
supervises 4 post-doc students and 12-PhD students and more than
300 M.Sc. Thesis. Professor Konstantinos E. Psannis has been
included in the list of Top 2% influential researchers globally
(prepared by Scientists from Stanford University USA), October
2020, October 2021, October 2022 and October 2023 [https://sites.uom.gr/kpsannis/].
Assoc.
Prof. Fahim Khan
Toyo University, Japan
Dr. Fahim Khan is currently an Associate Professor at the
Department of Information Networking for Innovation and Design
(INIAD) in Toyo University, Tokyo, Japan. Prior to joining Toyo
University, he served as a Senior Assistant Professor at the
University of Tokyo, from where he also obtained his MS and PhD
in Applied Computer Science. His current research focus
includes, among others, developing security measures for IoT and
smart spaces; designing distributed systems using machine
learning, generative AI, and blockchain; and leveraging
educational technology for CS, STEM and SDGs education. His
research publications have won multiple best paper awards at
IEEE conferences. He actively serves as a committee member in
many IEEE and ACM conferences. A Senior Member of IEEE, Khan is
a recipient of IEEE Japan Medal. He is also a globally selected
member of ACM Future of Computing Academy (ACM-FCA), an
initiative that brings together next-generation leaders in
computing to carry the computing community into the future.
Assoc.
Prof. Zhe Li
Soochow University, China
Zhe Li received the B.S. degree in telecommunication
engineering from the Nanjing University of Posts and Telecommunication, Nanjing,
China, in 2011, and the M.S. degree in software engineering and the Ph.D. degree
in information and communication engineering from Southeast University, Nanjing,
China, in 2014 and 2018, respectively. From 2016 to 2017, he was a Visiting
Ph.D. Student with the Department of Electrical and Electronic Engineering,
Imperial College London, London, U.K. Since 2018, he has been an Associate
Professor with the School of Electronic and Information Engineering, Soochow
University, Suzhou, China. He was the recipient of the Education Innovation
Award at the IEEE International Conference on Acoustics, Speech, and Signal
Processing (ICASSP) in 2019. His research interests include complex and
hyper-complex statistical signal processing and its applications in
communications systems, power networks, and Internet of things.
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 Professor, Scientist,
Vice-Chairman (Research) and Director- IoT and Intelligent
Systems Lab. A Certified Professional with 125+ Professional
certifications from CISCO, Microsoft, Amazon, EC-Council,
Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more.
Published more than 180+ Research Papers in various High-Quality
ISI-SCI/SCIE/SSCI Impact Factor- Q1, Q2, Q3, Q4 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:
11800+, H-Index: 57 and I-Index: 210.
Assoc.
Prof. Fwen Hoon Wee
Universiti Malaysia Perlis (UniMAP), Malaysia
Fwen Hoon Wee, PhD, is an accomplished professional with a
strong academic background. She obtained her B.Eng and PhD
degrees in Communication Engineering from Universiti Malaysia
Perlis in 2009 and 2013, respectively. Currently serving as an
Associate Professor at the Faculty of Electronic Engineering &
Technology, Universiti Malaysia Perlis (UniMAP), she has
demonstrated her dedication to both academia and industry. Dr.
Wee's career includes a significant industrial attachment at
Keysight Technologies, Penang, Malaysia, focusing on instrument
hardware development. Her research areas encompass dielectric
resonator antennas, wearable antennas, 5G, automation, and
dielectric material measurement. She has led numerous nationally
and industrially funded projects and supervised several
postgraduate students, contributing to the advancement of her
field.
Assoc.
Prof. Mohd Faizal Abdollah
University Teknikal Malaysia Melaka, Malaysia
Associate Profesor Dr Mohd Faizal Abdollah is currently a senior
lecturer in University Teknikal Malaysia Melaka. The research
area more focuses on network security, malware detection and
network management. In cybersecurity, Dr Mohd Faizal led the sub
project under CMERP project with the collaboration with Cyber
Security Malaysia. This project more focuses on malware
detection, eradication and mitigation. Currently, involve in
developing EDR together with the Cybersecurity Malaysia. Others
than that, Dr Mohd Faizal also involve in various grant sponsor
by Ministry of Education, Industrial grant and University grant
such as Fundamental Grant for detecting botnet activity,
Transdisciplinary Grant for detecting the inside threat, ISIF
grant for botnet detection using graph theory. He also teaches
UTeM course such as Information Technology and IT Security,
Network Management and Administration, Advanced Scalable Network
and also manage to produce various conference paper and journal
in cybersecurity related field.
Prof.
Ghulam Abbas
GIK Institute of Engineering Sciences and Technology, Pakistan
GHULAM ABBAS received the B.S. degree in computer science from
University of Peshawar, Pakistan, in 2003, and the M.S. degree
in distributed systems and the Ph.D. degree in computer networks
from University of Liverpool, U.K., in 2005 and 2010,
respectively. From 2006 to 2010, he was Research Associate with
Liverpool Hope University, U.K., where he was associated with
the Intelligent & Distributed Systems Laboratory. Since 2011, he
has been with the Faculty of Computer Science & Engineering, GIK
Institute of Engineering Sciences and Technology, Pakistan. He
is currently working as a full Professor, Head of Cybersecurity
and Software Engineering Departments, and Director ICT Academy.
Dr. Abbas is a co-founding member of the Telecommunications and
Networking (TeleCoN) Research Center at GIK Institute. He is a
Fellow of the Institute of Science & Technology, U.K., a Fellow
of the British Computer Society, and a Senior Member of the
IEEE. His research interests include computer networks and
wireless and mobile communications.
Dr.
Muhammad Waqas
University of Greenwich, UK
MUHAMMAD WAQAS (M’18, SM’22) received his B.Sc. and M.Sc. in
Electrical Engineering from the Department of Electrical
Engineering, University of Engineering and Technology, Peshawar,
Pakistan, in 2009 and 2014, respectively. He received his PhD
degree from the Department of Electronic Engineering, Tsinghua
University, Beijing, China, in 2019. From Oct. 2019 to Mar.
2022, he was a Research Associate at the Faculty of Information
Technology, Beijing University of Technology, Beijing, China.
Currently, he is a Senior Lecturer in Cybersecurity at the
School of Computing and Mathematical Sciences, Faculty of
Engineering and Technology, University of Greenwich, London, UK.
His current research interests are in the areas of Wireless
Communication, vehicular networks, Fog/Mobile Edge Computing,
Internet of Things and Machine Learning. He has more than 100
research publications in reputed Journals and Conferences. He is
an Associate Editor of the International Journal of Computing
and Digital Systems and guest editor of Applied Sciences - MDPI.
He is recognised as a Global Talent in the area of Wireless
Communications by UK Research and Innovation and a Professional
Member of Engineer Australia. He is a senior member of IEEE, a
Professional Member of ACM, an IEEE Young Professional, a Member
of the Pakistan Engineering Council and an approved supervisor
by the Higher Education Commission of Pakistan.
Dr.
Adam Wong Yoon Khang
Universiti Teknikal Malaysia Melaka, Malaysia
Adam Wong Yoon Khang received his Ph.D. Degree from Universiti
Teknologi Malaysia in 2018. He is currently a Senior Lecturer in
the Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik,
Universiti Teknikal Malaysia Melaka (UTeM). He is also a
Professional Technologist for the Malaysia Board of
Technologists (MBOT). Before joining the academia, he served
various companies from 2007 until 2011 as a commercial engineer
in industries ranging from manufacturing to service providers.
His current research interests are the Internet of Things,
Hybrid Optical Wireless, simulation optimization, ad hoc network
and passive optical network but not limited to the mentioned
topic here. He actively publishes research articles and received
grants from the government and private sectors, universities and
international collaboration.
Speech Title: Enhancing Deaf-Blind
Accessibility with an American Sign Language System Powered by
RF Signals and IoT
Abstract: The Internet of Things (IoT) has significantly
enhanced people's lives, offering unprecedented convenience and
connectivity across various devices and locations through the
Internet. The creation of a portable American Sign Language
(ASL) system using RF signals and IoT technology aims to address
challenges faced by deaf-blind individuals, particularly in
terms of slow learning and short-term memory loss. These
difficulties often stem from the lack of engaging educational
resources in the market. To remedy this, immediate measures are
being taken to improve the learning experience for deaf-blind
individuals. The American Sign Language visualizer has been
developed to optimize the absorption of sign language, employing
physical and interactive methods. The learning kit introduces
two approaches: the first method involves selecting a
pre-programmed Radio-Frequency Identification (RFID) sign
language card, tapping it on an RFID reader connected to
Raspberry Pi 4B, and viewing ASL alphabets on an LCD screen,
accompanied by a video demonstrating finger movements. The
second method is interactive, where students use a
braille-embedded keyboard to trigger audio responses through
ESpeak. Ultimately, the development of this ASL learning kit
aims to foster a more engaging and effective learning
experience, enhancing students' interest and proficiency in both
ASL and Braille.