INVITED SPEAKERS

Prof. Seokwon Yeom, Daegu University, Korea

Biography: 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. His research interests are intelligent image and optical information processing, deep and machine learning, target tracking, and state estimation of drones.

 

Prof. Suraiya Jabin, Jamia Millia Islamia, India

Biography: Suraiya Jabin is currently serving as a Professor in Department of Computer Science, Jamia Millia Islamia, New Delhi, India since 2019.
She brings over 24 years of experience in teaching and research across diverse areas of Computer Science. Her research focuses on pattern recognition, behavioral and sensor-based biometrics, computational biology, medical imaging, 2D/3D image segmentation, dental forensics, and social media analysis, with particular emphasis on AI-driven solutions for healthcare, post-genomic biology, and biometrics. She has extensive experience teaching undergraduate and postgraduate courses, including Machine Learning, Deep Learning, Artificial Intelligence, Data Science with Python, Advanced DBMS, Data Warehousing and Mining, Digital Image Processing, Compiler Design, Systems Programming, object-oriented programming in C++ and Java, programming in C, and Discrete Mathematics. She is a professional member of ACM, serves on the editorial boards of several journals including Scientific Reports, Frontiers in Dentistry, etc. She holds an Indian Patent No. 429295 in smartphone signature biometrics. Her academic leadership also includes curriculum development, doctoral supervision, placement coordination, and course coordination of M.Sc. program in Artificial Intelligence and Machine Learning.

 

Assoc. Prof. Xiaolong Hu, Zhejiang University, China

Biography: Dr. Xiaolong Hu is a tenured associate professor at the College of Information and Electronic Engineering, Zhejiang University. His research focuses on micro- and nano- optoelectronic devices and quantum photonic devices, and he has achieved a series of research results in the field of SNSPDs: (1) He proposed waveguide-integrated SNSPDs, which has now become the mainstream device structure for SNSPDs on integrated quantum optical chips; (2) He revealed two mechanisms of device timing jitter of SNSPDs and developed the device physics of SNSPDs; (3) He proposed and developed fractal SNSPDs with high system detection efficiency and low timing jitter for incident photons in all states of polarization, and developed practical systems that are fiber-coupled and plug-and-play; (4) He applied the fractal SNSPDs to dual-comb precision ranging, full-Stokes lidar imaging, infrared non-line-of-sight imaging, and three-dimensional single-pixel imaging. The fractal SNSPD systems have been used in many institutions such as Peking University, Tsinghua University, Zhejiang University, Sun Yat-sen University, Wuhan University of Technology, and Songshan Lake Materials Laboratory. The research results have been published in journals such as Nature, Nature Photonics, and Nature Nanotechnology. The fractal SNSPDs have received medium coverage from Nature Photonics (News & Views), the Optica, IEEE Photonics Society, IEEE Spectrum, and Science and Technology Daily; the fractal SNSPDs have won the golden medal at the 28th National Invention Exhibition, the first-grade prize of the Invention and Entrepreneurship Award of the China Association of Inventions, the gold medal at the 50th Geneva International Invention Exhibition, and a nomination for the Chip 10 Science Award in 2024. Dr. Hu is now serving as an associate editor of Optics Express.

 

Assoc. Prof. Pavel Loskot, ZJU-UIUC Institute, China

Biography: Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as an Associate Professor after being 14 years with Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. In the past 30 years, he was involved in numerous collaborative research and development projects, and also held a number of paid consultancy contracts with industry. He is Senior Member of the IEEE, Member of the ACM and APSIPA, Fellow of the Higher Education Academy in the UK, Recognized Research Supervisor of the UK Council for Graduate Education, and the IARIA 2025 Fellow. His current research interests focus on mathematical and probabilistic modeling, statistical signal processing and machine learning for multi-sensor and longitudinal data.
Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as an Associate Professor after being 14 years with Swansea University in the UK. He received his PhD degree in Wireless Communications from the University of Alberta in Canada, and the MSc and BSc degrees in Radioelectronics and Biomedical Electronics, respectively, from the Czech Technical University of Prague in the Czech Republic. In the past 30 years, he was involved in numerous collaborative research and development projects, and also held a number of paid consultancy contracts with industry. He is Senior Member of the IEEE, Member of the ACM and APSIPA, Fellow of the Higher Education Academy in the UK, Recognized Research Supervisor of the UK Council for Graduate Education, and the IARIA 2025 Fellow. His current research interests focus on mathematical and probabilistic modeling, statistical signal processing and machine learning for multi-sensor and longitudinal data.

 

Assoc. Prof. Shuqiong Wu, the University of Osaka, Japan

Biography: Shuqiong Wu was born in Shanxi, China, in 1985. She received her B.E. and M.E. degrees from Beihang University, Beijing, China, in 2008 and 2011, respectively. She obtained her Ph.D. degree in Computational Intelligence and Systems Science from the Institute of Science Tokyo, Tokyo, Japan, in 2015. From 2015 to 2020, she was a research fellow at the Graduate School of Informatics, Kyoto University. From 2020 to 2025, she served as an assistant professor at SANKEN (The Institute of Scientific and Industrial Research), the University of Osaka. She is currently an associate professor at the Graduate School of Engineering Science, the University of Osaka. Her current research topics include dualtask-based cognitive impairment detection, cognitive status monitoring, medical image reconstruction, and contactless biometric sensing. Her research interests include biomedical signal processing, image processing, three-dimensional reconstruction, pattern recognition, and machine learning.

 

Asst. Prof. Shuting He, Shanghai University of Finance and Economics, China

Biography: Dr. Shuting He is an Assistant Professor and Ph.D. Supervisor at the School of Computing and Artificial Intelligence, Shanghai University of Finance and Economics. She received her B.S. and Ph.D. degrees from Xiamen University and Zhejiang University in 2018 and 2023, respectively. She was a visiting researcher at the Computer Vision Lab (CVL), ETH Zürich, and after completing her Ph.D., conducted postdoctoral research at Nanyang Technological University, Singapore. She is a recipient of the Zhejiang University Outstanding Doctoral Dissertation Award and received a nomination for the Zhejiang Provincial Outstanding Doctoral Dissertation Award. Over the past five years, she has published more than 50 papers in top-tier journals and conferences, including IEEE TPAMI, CVPR, ICCV, and ICML, and has served as an Area Chair for several premier international conferences, including CVPR, NeurIPS, and ICLR. Her work has received over 4,500 citations on Google Scholar, with three papers recognized as ESI Highly Cited Papers, and she was named to Stanford University's list of the World's Top 2% Scientists in both 2025 and 2026. Her long-term research focuses on multimodal large language models, embodied AI, and agent learning.

 

Asst. Prof. Mukesh Singh Boori, University of Central Asia, Kyrgyzstan

Biography: Dr. Mukesh Singh Boori is an Assistant Professor in Earth and Environmental Sciences at the University of Central Asia (UCA), School of Arts and Sciences. He has over 20+ years of research and teaching experience. Prior to joining UCA, he worked as a scientist and senior scientist at JSAC/ISRO India, NOAA/NASA USA and Samara University (Aerospace) Russia. He has been associated with several institutions, including Murdoch University Australia, University of Southern Denmark (SDU) and Aarhus University Denmark, Liaoning Normal University (LNU-MSU) China, United Arab Emirates University UAE, University of Rennes 2 France, University of Bonn and Ruhr University Bochum Germany, Hokkaido University Japan, Palacky University Czech Republic, Leicester University UK, American Sentinel University USA, ITMO University St. Petersburg and Kazan Federal University Russia, Vrije University Belgium, JECRC University, JKLU University and MDS University India.
He has a postdoc from University of Maryland USA, a Ph.D. from Federal University-RN (UFRN) Brazil, a predoc from Katholieke University Leuven Belgium, an MSc from MDS University and a BSc from University of Rajasthan India. He received several prestigious awards, including the National Academy of Sciences (NAS) fellowship through the National Research Council (NRC) central government of USA Washington DC, European Union Social Fund, an honorary fellow from the University of Leicester UK, a prestigious Brazil-Italy government fellowship, a Belgian and Indian government space fellowship and three-time Best Paper Award at ITNT Russia and ICIKM Hong Kong.
He has been PI or Co-I on 36 grants internationally (worth >$5.4M) and he has authorship on 135+ peer-reviewed publications in good journals and conferences with more than 2300 citations (h-index 27 / i10 - 55), including books, as a first author in the earth and space science field. His prime research interest is satellite earth observations through remote sensing and GIS technology, with special attention to ecology, ecosystems and environment via Artificial Intelligence. He is a member of many scientific societies, journals and committees, has led several projects, organized several conferences, delivered conference opening ceremony speeches, keynote speakers, plenary session talks, invited talks, invited webinar presentations, chaired sessions, actively mentoring students and visited 35 countries on official trips in five continents except Africa and Antarctica.

 

Dr. Sergii Khlamov, Kharkiv National University of Radio Electornics, Ukraine

Biography: Dr. Sergii Khlamov holds a PhD, MSc and BSc degrees with honors at the Kharkiv National University of Radio Electronics, Ukraine, where continues working. The PhD dissertation title was "Computational data processing methods for detecting objects with near-zero apparent motion" of the specialty "Mathematical modeling and computational methods". Dr. Sergii Khlamov's research focuses on several areas, including computational methods, mathematical modeling (statistical and in situ), image recognition, image filtering, image processing, machine/computer vision, observational astronomy, computer science, big data and data science, data mining, knowledge discovery in databases, machine learning, internet of things, artificial intelligence. Since 2014 Dr. Sergii Khlamov is a senior researcher of the Collection Light Technology (CoLiTec) project and the developer of the Lemur software for detecting the moving space objects (asteroids/satellites) in a series of astronomical frames. Also, Dr. Sergii Khlamov has more than 15 years of experience in Test Automation and Quality Assurance in the different top IT-companies. Dr. Sergii Khlamov has more than 200 national and international publications, 22 monographs, 32 patents. He was a scientific supervisor of the Ukrainian project of fundamental scientific research “Development of computational methods for detecting objects with near-zero and locally constant motion by optical-electronic devices” #0124U000259 in 2024-2026 years.