Keynote Speakers
To be added...
Invited Speakers
Prof. Narendra D. Londhe, National Institute of Technology Raipur, India
Dr. Narendra D. Londhe is presently working as Professor in the Department of Electrical Engineering of National Institute of Technology Raipur, Chhattisgarh, India. He completed his B.E. from Amravati University in 2000 followed by M.Tech. and Ph.D. from Indian Institute of Technology Roorkee in the years 2006 and 2011, respectively. He has 15 years of rich experience in academics and research. He has published more than 170 articles in recognized journals, conferences, and books. His main areas of research include medical signal and image processing, biomedical instrumentation, speech signal processing, biometrics, intelligent healthcare, brain–computer interface, artificial intelligence, and pattern recognition. He has been awarded by organizations like Taiwan Society of Ultrasound in Medicine, Ultrasonics Society of India, and NIT Raipur. He is an active member of different recognized societies from his areas of research including senior membership of IEEE.
Assoc. Prof. Aslina Baharum, Sunway University, MALAYSIA
Associate Professor Ts. Dr. Aslina Baharum (Dr. Ask)
holds the esteemed position of Associate Professor
at the School of Engineering and Technology within
Sunway Uni-versity. Previously, she has served as a
Senior Lecture at the Faculty of Computer and
Mathematical Sciences in Universiti Teknologi MARA
(UiTM), and as a Senior Lecturer at the Faculty of
Computing and Informatics in Universiti Malaysia
Sabah (UMS), where she led the User Experience (UX)
research group. Completing her academic journey, she
also brings valuable industry experiences as a
former IT Officer at the Forest Research Insti-tute
of Malaysia (FRIM). She had experienced more than 20
years in the IT field.
She earned her PhD in Visual Informatics from UKM, a
Master Science degree in IT from UiTM, and Bachelor
of Science (Hons.) in E-Commerce from UMS. Dr. Ask
is an active member of the Young Scientists Network
- Academy of Science Malaysia, a Senior Mem-ber
IEEE, and a certified Professional Technologist
recognized by MBOT. She has further contributed to
the field by serving as an auditor for MBOT/MQA.
She has received medals at research and innovation
showcases and has been honored with awards for her
teaching, excellence in service, and outstanding
contributions as a researcher. Her bibliography
showcases her prolific output, including co-authored
and co-edited books, over 20 book chapters,
technical papers presented at conferences, and more
than 60 peer-reviewed and indexed journals
publications. She has also taken on editorial roles
for several journals and actively participated as a
committee member, ses-sion chair, and part of
editorial teams while actively participating as a
reviewer. Dr. Ask has graced numerous conferences
with her wisdom, delivering keynote, invited and
ple-nary talks.
Her research interests span a wide spectrum,
encompassing UX/UI, HCI/Interaction De-sign, Product
& Service Design, Software Engineering & Mobile
Development, Infor-mation Visualization & Analytics,
Multimedia, ICT, IS and Entre/Technopreneurship. Dr.
Ask’s expertise extends beyond the academic realm;
she imparts her knowledge through workshops and
talks on various subjects, including UI/UX,
Entrepreneurship, Vid-eo/Image Editing,
E-Commerce/Digital Marketing, STEM, Design Thinking
and etc.
Furthermore, she is certified as a Professional
Entrepreneurial Educator, Executive En-trepreneurial
Leader, and HRDF Professional Trainer, which
highlights her strong com-mitment to education and
entrepreneurship. Dr. Ask is highly regard in her
field, dedicat-ed and consistently pushing the
boundaries of knowledge and sharing her wealth of
ex-pertise with others.
Prof. Xiwen Zhang, Beijing Language and Culture University, China
XiWen Zhang is currently a full professor of Digital
Media Department, School of Information Science,
Beijing Language and Culture University.
Prof. Zhang worked as an associated professor from
2002 to 2007 at the Human-computer interaction
Laboratory, Institute of Software, Chinese Academy
of Sciences. From 2005 to 2006 he was a Post doctor
advised by Prof. Michael R. Lyu in the Department of
Computer Science and Engineering, the Chinese
University of Hong Kong. From 2000 to 2002 he was a
Post doctor advised by Prof. ShiJie Cai in the
Computer Science and Technology department, Nanjing
University.
Prof. Zhang's research interests include pattern
recognition, computer vision, and human-computer
interaction, as well as their applications in
digital image, video, and ink. Prof. Zhang has
published over 60 refereed journal and conference
papers. His SCI papers are published in Pattern
Recognition, IEEE Transactions on Systems Man and
Cybernetics B, Computer-Aided Design. He has
published more than twenty EI papers.
Prof. Zhang received his B.E. in Chemical equipment
and machinery from Fushun Petroleum Institute
(became Liaoning Shihua University since 2002) in
1995, and his Ph.D. advised by Prof. ZongYing Ou in
Mechanical manufacturing and automation from Dalian
University of Technology in 2000.
Assoc. Prof. Muhammad Tariq Mahmood, Korea University of Technology and Education, Korea
He received the MCS degree in computer science from AJK University of Muzaffarabad, Pakistan, in 2004. After That he worked as a Software Engineer for more than 8 years at Khaksar and Co. Islamabad Pakistan. Then, in 2005, he made a significant shift in his career by leaving software development and by joining various institutes for his higher studies and research. He received the MS degree in intelligent software systems from Blekinge Institute of Technology, Sweden, in 2006 and the PhD degree in information and mechatronics from Gwangju Institute of Science and Technology, Korea, in 2011. Now, he is working as an Associate Professor at School of Computer Science and Engineering, Korea University of Technology and Education, Cheonan, Korea. His research interests include image processing, 3D shape recovery from image focus, computer vision, pattern recognition and machine/deep learning. Currently, he is working on various projects funded by National research foundation (NRF), Korea related to shape from focus/defocus, smart cities and underwater imaging.
Assoc. Prof. Seokwon Yeom, Daegu University, Korea
Seokwon Yeom has been a faculty member of Daegu
University since 2007. He has a Ph.D. in Electrical
and Computer Engineering from the University of
Connecticut in 2006.
He has been a guest editor of Applied Sciences and
Drones in MDPI since 2019. He has served as a board
member of the Korean Institute of Intelligent
Systems since 2016, and a member of the board of
directors of the Korean Institute of Convergence
Signal Processing since 2014. He has been program
chair of several international conferences. He was a
vice director of the AI homecare center and a head
of the department of IT convergence engineering at
Daegu University in 2020-2023, a visiting scholar at
the University of Maryland in 2014, and a director
of the Gyeongbuk techno-park specialization center
in 2013. He has been a keynote or invited speaker at
several international conferences.
Assoc. Prof. Kazuya Ueki, Meisei University, Japan
He received a B.S. in Information Engineering in
1997, and an M.S. in the Department of Computer and
Mathematical Sciences in 1999, both from Tohoku
University, Sendai, Japan. In 1999, he joined NEC
Soft, Ltd., Tokyo, Japan. He was mainly engaged in
research on face recognition. In 2007, he received a
Ph.D. from Graduate School of Science and
Engineering, Waseda University, Tokyo, Japan. In
2013, he became an assistant professor at Waseda
University. He is currently an associate professor
in the School of Information Science, Meisei
University. His current research interests include
pattern recognition, video retrieval, character
recognition, and semantic segmentation. He is
currently working on the video retrieval evaluation
benchmark (TREVID) sponsored by the National
Institute of Standards and Technology (NIST),
contributing to the development of video retrieval
technology. In 2016, 2017, and 2022, his submitted
systems achieved the highest performance in the
TRECVID AVS task.