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IPIARTI2024
Saturday, 29 JUNE 2024
MAIN LIBRARY, UNIVERSITI MALAYSIA SABAH
KOTA KINABALU, SABAH
The IEEE Signal Processing Society Malaysia Chapter and the Computer Engineering Club, Faculty of Engineering, Universiti Malaysia Sabah (UMS), are jointly organizing the 15th Symposium on Image Processing, Image Analysis, and Real-Time Imaging (IPIARTI 2024).
This annual event, free of charge and open to both IEEE members and non-members, serves as a convergence point for the university and industry communities, is structured with two primary objectives:
1) Enhance Student Engagement and Learning: Provide a platform that empowers undergraduate students to engage with and contribute to discussions on cutting-edge developments in image processing, and Artificial Intelligence (AI), fostering a hands-on learning experience and collaboration among peers and industry professionals.
2) Promote Networking and Advancement: Spotlight the IEEE Signal Processing Society Malaysia Chapter as a prominent forum for professional networking and advancement within the academic and industrial landscape of Malaysia.
Emphasis will be placed on AI applications and advancements, positioning the chapter as a pivotal platform for those interested in the intersection of signal processing and AI.
Keynote Speakers
09.15 - 10.00: Keynote Speech #1 – Virtual
Assoc. Prof. Dr. Wan Mimi Diyana Wan Zaki, Head of Visual Analytics Engineering Lab, INTEGRA, Universiti Kebangsaan Malaysia
Wan Mimi Diyana is an associate professor and researcher in biomedical and bioinformatics engineering, focusing on smart systems, digital image processing, and IoT-driven healthcare technologies. With a PhD in Engineering from Multimedia University, her current work centers on medical imaging research related to non-communicable ocular diseases such as pterygium and cataract screening, keratoconus detection, and diabetic retinopathy assessment, employing digital image processing and artificial intelligence (AI). This highlights the growing role of AI and machine learning in healthcare for enhanced early detection. She has an extensive publication record, including over 150 academic papers, and has received numerous research awards. Actively engaged in professional organizations, she has secured substantial national and international research grants to advance her work in related fields.
Speech Title: Through the Lens: Empowering Ocular Health with Digital Image Processing
Abstract: Revolutionizing ocular health with digital image processing is an exciting leap forward in the world of eye care. According to the World Health Organization (WHO), approximately 285 million people worldwide experience vision impairment, with nearly 40 million of them suffering from blindness. In developing countries, cataracts account for 50% of all cases, followed by glaucoma at 10%, and diabetes at 4%. Early screening has shown a marked reduction in the incidence of these non-communicable ocular diseases (NCODs), emphasizing the significance of detecting them at their earliest stages to prevent further complications. Digital image processing further revolutionizes ocular health by providing a detailed analysis of eye images, resulting in more precise and efficient screening and diagnosis. Moreover, this technology holds the potential to pioneer innovative treatments and therapies for ocular diseases, promising a brighter future for those affected. By embracing digital image processing, we not only enhance patient care but also lay the groundwork for superior ocular health outcomes. This paradigm-shifting approach transforms our perspective on ocular health and ushers in a new era of exciting advancements in the field.
10.15 - 11.00: Keynote Speech #2 – Virtual
Ms Khoo Choon Chew, Lead for Asset Excellence in NervCentre at PETRONAS
With nearly 20 years of experience in the oil and gas industry, Ms Khoo Choon Chew has worked with diverse talents across technical, digital, and commercial fields. Currently leading business transformation efforts at PETRONAS, she has a solid background in Instrument Engineering, having handled upstream projects and Kerteh operations. A University Technology PETRONAS (UTP) alumna, she started her career at Agilent Technologies before joining PETRONAS. After roles as an Asset Engineer and Instrument Engineer, she transitioned to a managerial position in Joint Venture Engineering. In 2020, she joined NervCentre (NC) as the Engineering Digital Transformation Program Lead for ARIES. Her leadership, under the guidance of Mr. Prakash, has led to numerous successes, and she is now focused on ARIES Phase 2, working with a team of experts to drive innovation and strategic initiatives at PETRONAS.
Speech Title: Techno-Digital Transformation at PETRONAS: Navigating Successes, Challenges, and Future Directions
Abstract: PETRONAS, a global leader in the energy sector, has embraced the term "Techno-Digital" to signify the convergence between engineering and digital domains. This strategic integration has been spearheaded by PETRONAS NervCentre, which has driven significant advancements in the company's operations. The NervCentre has achieved remarkable successes, including substantial revenue gains, the removal of significant amounts of CO2e, the training of numerous Analytics Translators, and the attainment of multiple regional awards. Despite these achievements, PETRONAS faces ongoing challenges. The rapid proliferation of data and the skills required to manage this growth pose significant hurdles. Additionally, the expanding opportunities presented by digital advancements, particularly the integration of AI to enable a digitally-empowered workforce, present both opportunities and challenges. Guided by the mantras of being domain-led and digitally-enabled, value-obsessed, and committed to multiskilling, the NervCentre continues to navigate these challenges, driving PETRONAS towards a more innovative and sustainable future.
14.00 - 15.00: Keynote Speech #3 – Virtual
Prof. Dr. Björn W. Schuller, Professor of Artificial Intelligence, Technical University of Munich, Germany / Imperial College London, UK
Björn W. Schuller is a distinguished scholar and expert in the fields of health informatics and artificial intelligence. He holds the position of Full Professor of Health Informatics at the Technische Universität München (TUM) in Munich, Germany, where he leads the Chair of Health Informatics at the Klinikum rechts der Isar (MRI). Additionally, he is a Core Member of the Munich Data Science Institute (MDSI) and a Principal Investigator at the Munich Center for Machine Learning (MCML). Prof. Schuller is also a Fellow at the Konrad Zuse School of Excellence in Reliable AI (relAI), highlighting his contributions to the field of AI. Beyond his work in Munich, he serves as Professor of Artificial Intelligence and heads the Group on Language, Audio, & Music (GLAM) at Imperial College London, UK. His international influence extends further as he is a Guest Professor at the University of Augsburg in Germany. In the private sector, Prof. Schuller is the Chief Science Officer (CSO) at audEERING GmbH, a company known for its innovative work in audio and emotion AI. He is also the Field Chief Editor of Frontiers in Digital Health, an academic journal that addresses health informatics. Prof. Schuller's professional accolades include memberships in several prestigious academies, such as the FAAAC, ACM, BCS, ELLIS, IEEE, and ISCA, reflecting his significant impact and leadership in multiple domains of computing and digital health. For further information, Prof. Schuller can be contacted via his email schuller@IEEE.org, and additional details about his work and contributions can be found on his website www.schuller.one.
Speech Title: Deep Learning vs Flatline: Vision and Reality of AI in Health
Abstract: Deep Learning bears great potential to prolong and save millions of lives around the globe. From avoiding heart attacks to predicting suicidal risk, we will embark on a critical exploration of the dual nature of artificial intelligence (AI) in health, emphasizing the revolutionary capabilities of deep learning technologies against the backdrop of real-world challenges and ethical considerations. As AI continues to reshape healthcare landscapes, it appears imperative to understand both its transformative potential and the stark realities it faces in practical applications. We shall begin with an overview of deep learning's latest advances from large transformer-based models to diffusion and Mamba with an application focus on health monitoring and predictive analytics in everyday environment. As modalities of discussion, the talk features in particular audio – symbolized by the stethoscope in health – along language, vision, and multisensorial wearable data. Topics such as data biases, efficiency, personalization, the opacity of algorithmic decision-making, adversarial attacks, and issues of privacy will further be critically analyzed. Conclusively, the presentation will map out a pathway for the future and pave the way for more robust, equitable, and effective healthcare solutions through AI.
Invited Speakers
15.30 - 16.00: Invited Speech #1 - Physical
Ir. Ts. Dr. Yew Hoe Tung, Faculty of Engineering, Universiti Malaysia Sabah
Speech Title: Handover Control Parameter Optimization in 5G Small Cell Wireless Networks
16.00 - 16.30: Invited Speech #2 - Physical
Assoc. Prof. Dr. Mohd Soperi Mohd Zahid, Department of Computer and Information Sciences, Universiti Teknologi PETRONAS.
Speech Title: Importance of adopting MLOps in Machine Learning Projects
16.30 - 17.00: Invited Speech #3 - Physical
Dr. Aroland Kiring, Faculty of Engineering, Universiti Malaysia Sabah
Speech Title: Optimizing Indoor Positioning Accuracy with Interpolated Radio Signal Fingerprint using limited Received Signal Strength (RSS) Measurements
Program Schedule
1
08.30 - 09.00: Registration
09.00 - 09.15: Welcoming Speech
09.15 - 10.00: Keynote Speech #1 – Virtual
Assoc. Prof. Dr. Wan Mimi Diyana Wan Zaki, Head of Visual Analytics Engineering Lab, INTEGRA, Universiti Kebangsaan Malaysia
10.00 - 10.15: Coffee break
10.15 - 11.00: Keynote Speech #2 – Virtual
Ms Khoo Choon Chew
Lead for Asset Excellence in NervCentre at PETRONAS
11.00 - 13.00: Parallel Sessions - Physical
Room 1: Image Processing (Student Project)
Room 2: Machine Learning (Student Project)
13.00 - 14.00: Lunch
14.00 - 15.00: Keynote Speech #3 - Virtual
Prof. Dr. Björn W. Schuller
Professor of Artificial Intelligence, Technical University of Munich, Germany /Imperial College London, UK
15.00 - 15.20: IEEE/SPS/Senior Membership Drive
15.20 - 17.00: Invited Speech - Physical
17.00 - 17.15: Coffee break/Closing remarks
Call for Speakers for Invited Speech Session
Notification of acceptance: 14 June 2024
All Invited Speech presenters will receive a certificate of appreciation as an invited speaker.
The invited speech session will be held in person at the venue.
REGISTRATION
Whether you are presenting or just attending the symposium, please register by 25 June 2024.
ORGANIZING COMMITTEE:
General Chair:
Mazlina Mamat (UMS)
Hezerul Abdul Karim (MMU)
Local Arrangement (UMS):
Randy Chong, Izzwahidah Abdul Wahip, Nur Aqeela Fiqreeya Ramlee, Willencio Wesley, Aliz Sandor, Siti Munira Fasihah, Daniel Danny Jaikol, Alexann Rohan Jamis, Mohd Iqmal Alif Ilham, Hamim Hamizan Abdul Wahid, Muhammad Faiz Fadhlullah, Nur Irdina Mohd Afifi
Committee Members:
Haidawati Mohamad Nasir (UniKL)
Norliza Mohd Noor (UTM)
Syed Abdul Rahman Syed Abu Bakar (UTM)
R. Logeswaran N. Rajasvaran (HELP)
Mohamamad Faizal Ahmad Fauzi (MMU)
Siti Armiza Mohd Aris (UTM)
Mohamad Asyraf Zulkifley (UKM)
Vijanth Asirvadam (UTP)
Usman Ullah Sheikh (UTM)
Mohd Norzali Mohd (UTHM)
Zaid Omar (UTM)
Contact Information and FAQs
- How can I be invited to present as a speaker at the symposium?
Prepare an extended abstract of your research using the provided template and submit it by 31st May 2024. Successful applicants will be notified by 14th June 2024. The invited speech session will be held in person at the venue.
- Does this symposium publish papers?
No. This symposium aims to provide a platform that empowers undergraduate students to engage with and contribute to discussions on cutting-edge developments in image processing and artificial intelligence.
Contact Information
If you have any questions or need more information, feel free to contact us at mazlina@ums.edu.my.
