Invited Speakers

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

Biography: Pavel Loskot joined the ZJU-UIUC Institute, Haining, China, in January 2021 as Associate Professor after 14 years being the Senior Lecturer at Swansea University in the UK. He obtained 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 25 years, he was involved in numerous collaborative research and development projects, and also held a number of consultancy contracts with industry. Pavel Loskot is a Senior Member of the IEEE, a Fellow of the Higher Education Academy in the UK, and the Recognized Research Supervisor of the UK Council for Graduate Education. His current research interests focus on mathematical and probabilistic modeling, statistical signal processing and classical machine learning for multi-sensor data in biomedicine, computational molecular biology, and wireless communications.

Speech Title: Auto-regressive Generative Modeling

Abstract: The auto-regressive models described by stochastic differential or difference equations have long been used in signal processing to generate the random processes of desired properties. These models were recently generalized to allow generating more complex data structures such as images and videos, and they are now known as the diffusion models. The basic idea is to learn the complex distributions of the data elements by filtering a random noise using an auto-regressive model structure with latent variables. The diffusion models are typically learned via variational inference, and possibly other methods of Bayesian inference. The trained models can be then sampled to generate new data elements having the similar quality as the original dataset. In this talk, I will mainly focus on outlining the key underlying principles of diffusion models that were adopted from statistical signal processing. This illustrates the immense power of generalizing the key principles to much broader scope of new methods and applications.

 

Prof. Dr. Hamidah Ibrahim, Universiti Putra Malaysia, Malaysia
Member of IEEE, Member of IEEE Computer Society, Member of Association Computing Machinery (ACM)

Biography: HAMIDAH IBRAHIM is currently a professor in the Department of Computer Science at Universiti Putra Malaysia (UPM), Malaysia. She received her Ph.D. in Computer Science in 1998 from Cardiff University, UK. She is a member of IEEE, IEEE Computer Society, and Association Computing Machinery (ACM). Her current research interests include databases focusing on issues related to system integration/mapping, cache management, data security, transaction processing, query optimization, preference evaluation – context-aware, information extraction, and data management in mobile, grid, and cloud. She has received several research grants; among others are the Fundamental Research Grant Scheme (Ministry of Higher Education Malaysia), ScienceFund (Ministry of Science, Technology, and Innovation), and Research University Grant Putra. She has authored more than 300 scientific publications and book chapters. She serves as the editorial board member of several outstanding journals as well as reviewer of several scholarly journals like IEEE Access, Information Sciences, Journal of Supercomputing, International Journal of Distributed Sensor Networks, PLOS ONE, etc.

Speech title: Harnessing the Power of Skyline Query Processing: Issues and Future Directions

Abstract: Query processing, a well-established technique for retrieving relevant objects from a database in a reliable and efficient way; has achieved tremendous success at both research and industry levels. It operates by retrieving only those data points that strictly satisfy the conditions specified in the query or returning an empty result if otherwise. Recent advancements in query processing attempt to relax these stringent requirements by retrieving the best, most preferred data points from a database. This paradigm, known as skyline queries, leverages the concept of Pareto dominance, has achieved significant success, particularly in applications related to multi-criteria decision making; where several conflicting criteria must be evaluated in the decision-making process. Despite their success across various applications, skyline queries face significant challenges when dealing with datasets involving numerous criteria, large volumes of objects, or incomplete and uncertain data. This talk primarily focuses on harnessing the power of skyline queries across diverse real-world applications, while exploring the challenges they pose and outlining future research directions. Key themes include addressing scalability, managing uncertainty, and integrating advanced methods to enhance the performance and broader the applicability of skyline queries.

 

Prof. Genevieve A Pilongo, Mapua Malayan Colleges Mindanao, Philippines

Biography: Dr. Genevieve A. Pilongo is a professor and research mentor at Mapua Malayan Colleges Mindanao, Davao City, Philippines. She is the current Program Chairperson of the BS in Information Systems program. She holds a Doctor in Business Management with a specialization in Information Systems, a Master of Information Technology, and a degree in Computer Science. She teaches computing and mathematics courses for IT, IS and CS students and actively supervises research projects that apply machine learning and intelligent computing to address real-world, community-centered problems.
Among her recent research outputs are two papers presented at the 5th CCCIS held in Hong Kong, China in March 2025:
• “Advanced Comparative Analysis of YOLOv8 and SSD MobileNet V2 for Real-Time Lethal Weapon Detection Using Fluoroscopic Imaging”
• “Transforming e-Government: Enhancing Internship Portals with User-Centered Design”
Her interests include AI for education and healthcare, sustainable technologies, user-centered systems, and locally grounded digital innovation.

Speech Title: Machine Learning and Computing Research in a College in Southern Philippine Context

Abstract: This invited talk shares how machine learning and computing research is being meaningfully applied within the context of a small college in the southern Philippines. Despite limited resources, local challenges are being transformed into opportunities for innovation through student-led research projects aligned with the UN Sustainable Development Goals (SDGs). The presentation introduces five ongoing studies: a chatbot using Retrieval-Augmented Generation (RAG) to support students; an AI-powered physical therapy training tool for assessing range of motion; a solar energy prediction system with visualization dashboards for rural energy optimization; a revised supplier payment workflow for a department store; and a localized weather prediction system using edge computing to help farmers make better decisions. These projects demonstrate how contextualized, grassroots research can drive real-world impact. By bridging global technologies with local realities, the talk emphasizes the vital role of small academic institutions in shaping inclusive and sustainable digital futures.

 

Assoc. Prof. Dr. Yusmadi Yah Jusoh, Universiti Putra Malaysia (UPM), Malaysia
Head Applied Informatics Research Group

Biography: Yusmadi Yah Jusoh received the B.Ec. Degree in economic analysis and public policy and the master’s and Ph.D. degrees in information technology from the National University of Malaysia, in 1997, 1998, and 2008, respectively. She is currently an Associate Professor with the Faculty of Computer Science and Information Technology, Universiti Putra Malaysia. Her current research interests include IoT, Big data, management information systems, information systems, information technology strategic planning, and software project management.

Speech Title: Enhancing Social Media Crisis Communication for Resilience Building

Abstract: Communication is an integral aspect of crisis management. Managing the crisis communication is ineffective without social media and research on the drivers of social media’s impact on resilience remains limited. Therefore, identifying factors of social media-based crisis communication to influence resilience (ability of people to recover from crisis) is crucial. The key areas for building public resilience, including information seeking, information sharing, social media usage, and resilience, as critical factors.

 

Prof. Moirangthem Marjit Singh, North Eastern Regional Institute of Science & Technology (NERIST), Arunachal Pradesh, India

Biography: Dr. Moirangthem Marjit Singh is a Professor in Computer Science & Engineering Department at North Eastern Regional Institute of Science & Technology (NERIST), Arunachal Pradesh, India. He received B.Tech. & M.Tech. degrees from NERIST and PhD degree from University of Kalyani, India in 2001,2010 and 2017 respectively. He was the Head of Department Computer Science & Engineering, NERIST (2018 – 2022), founder Honorary Joint Secretary of the IE(I), Arunachal Pradesh State Centre, India (2019-2021) and founder member Unnat Bharat Abhiyan NERIST Cell (2017-2024). Currently, he is In-charge of Educational Technology Cell at NERIST, Chief Information Security Officer (CISO) NERIST and Single Point of Contact (SPoC) for National Institute of Electronics and Information Technology (NIELIT, Ministry of Electronics and IT, Govt. of India) Itanagar Centre at NERIST. He is a Fellow of IETE India, Fellow of IE (I) and senior member IEEE, USA.
Prof. Marjit was honoured with “Academic Excellence Award” by Taylor’s University, Malaysia in recognition of his outstanding academic performance on 13 September 2023. He received the “IE(I) Young Engineers Award 2014–2015” in Computer Engineering Division from Institution of Engineers, India. He also received the “Best Paper Awards” at international conferences namely the ICEAI 2023(Taylors’ University, Malaysia), the SETSM 2025(Hanoi University of Industry, Vietnam) the ICACCT 2016, (APIIT, India) and Best Paper Award 1st Runner-Up in ICDAI2024(TINT, India).
Prof. Marjit did his schooling at JNVSA Kakching, Thoubal District, Manipur (1990-1997). He secured First Position in X and Second Position in XII Examinations conducted by CBSE, New Delhi, India, amongst the candidates sent up from Jawahar Navodaya Vidyalayas (JNVs) of North Eastern region states of India, in 1995 and 1997 respectively. He was felicitated as one of the Eminent Alumni (JNVs of North Eastern Region India) by Navodaya Vidyalaya Samiti Regional Office Shillong, Ministry of Education, Govt. of India on 22 April 2023 at JNV Rangia, Assam. He was Gold Medallist in the M.Tech.(CSE) program too.
Prof. Marjit has a patent granted for 20 years by the Patents office Govt. of India with effect from 30 July, 2021(Patent Number:542853). He has published several papers in international journals, book chapters and conferences of repute. He has been associated with many technical conferences held in India and abroad. He has delivered many technical/invited talks as well. His research interests include MaNet, WSN, Security, ML, DL and Image Classification.

Speech Title: Mechanisms for Intrusion Detection in Wireless Sensor Networks

Abstract: The talk will explore various mechanisms employed for intrusion detection in Wireless Sensor Networks (WSNs) highlighting their strengths and limitations. Challenges of intrusion detection mechanisms in WSNs focusing on Machine learning (ML)/Deep Learning (DL) based approaches will be covered in this talk. Some of the recent ML/DL based IDS developed for WSNs will also be discussed. The talk aims to provide insights into design and implementation of ML/DL-based intrusion detection systems for improved security and reliability of WSNs. Problem and solution domain relevant to ML/DL based IDS in WSNs will be discussed briefly at the end of the talk.

 

Asst. Prof. Ronina R. Caoili-Tayuan, University of Santo Tomas - CICS, Philippines

Biography: Asst. Prof. Engr. Ronina R. Caoili-Tayuan is a Computer Engineering graduate from Mapua University and teaching in the College of Information and Computing Sciences (CICS)-Information Technology Department at the University of Santo Tomas, where she teaches courses under the Internet of Things (IoT), and Network and Security specializations. She holds a Master’s Degree in Computer Science, majoring in Software Development from Mapua University (formerly Mapua Institute of Technology), and a Microsoft Certified Professional in Systems Administration from Microsoft Corporation. She is completing her dissertation on her Doctorate Degree in Information Technology at De La Salle University-Manila, specializing in Health Informatics.

She is the author of Living in the IT Era (1st edition) book, published in 2019, and the 2nd edition to be published in 2024. Another book, IT Application Tools in Business, was published early in 2021. She was involved with CHED-RECPE Grant Research entitled “UST-IICS Student Academic Performance Evaluation through Data Mining and Analytics as Suggestive Input to Curriculum Improvement.” She has been a Technical Committee Reviewer of International Research funded by the Government at Gulf College, Sultanate of Oman, and an International Research Conference for the International Association of Computer Science and Information Technology (IACSIT) since 2019. She has also held a Mendeley Advisor Community position since June 2020. She is a lifetime member of international organizations such as IACSIT, ICSES, IERDC, and IAENG, as well as a local organization, ICpEP for Computer Engineer Professionals.

 

Dr. Chiagoziem Chima Ukwuoma, Chengdu University of Technology, China

Biography: Dr. Chima holds a Master of Science in Software Engineering, and a Doctor of Philosophy in Software Engineering, both from the University of Electronics Science and Technology of China (UESTC). He is currently an Associate Professor at School of International Education, Chengdu University of Technology Oxford Brookes College Chengdu Sichuan PR China. Dr. Chima has published over 70 peer-reviewed papers in Top journals including Journal of Applied Energy, Renewable Energy, Biomedical Signal Processing and Control, International Journal of Hydrogen Energy, Computers in Biology and Medicine, Social Science and Medicine, Science of Total Environment, Biocybernetics and Biomedical Engineering, Clean Energy, Expert Systems and Application and lots more. He has been recognized with several prestigious awards, including the Centre for West African Studies of UESTC Doctoral Research Fund.