Activities

Activities

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AI4PEP Malaysia at the UNGA81 Science Summit: Shaping the Future of Healthcare AI

AI4PEP Malaysia at the UNGA81 Science Summit | Artificial Intelligence Governance in ASEAN+ for Ethical and Sustainable Innovation in Healthcare

AI4PEP Malaysia hosted a session at the UNGA81 Science Summit titled "Artificial Intelligence Governance in ASEAN+ for Ethical and Sustainable Innovation in Healthcare."The session brought together researchers, policymakers, healthcare professionals, and AI governance experts from Malaysia, Indonesia, and the Philippines to discuss how AI can be governed responsibly to support sustainable healthcare systems. One message stood out: Responsible healthcare AI requires more than innovation. It requires effective governance, robust cybersecurity, institutional capacity, and a strong commitment to equity and inclusion.

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Foo Jinny

Foo Jinny delivering a physical presentation at the 19th International Conference on Advanced Computer Theory and Engineering (ICACTE 2026),(聽Hangzhou, China | August 21-23, 2026)

Title: Building Trustworthy Data Foundations for Artificial Intelligence in Community Health: A Clinician-Readiness Study of Blockchain in Malaysian Public Hospitals
Authors: Foo Jinny, Angela Siew Hoong Lee, Denny Kok Sum Ng
Presenter: Foo Jinny

 

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Abdurraheem

Abdurraheem Joomye oral presentation at the 19th International Conference on Advanced Computer Theory and Engineering (ICACTE 2026),(聽Hangzhou, China | August 21-23, 2026)

Title: Integrated Blockchain Workflow for Data-Use Governance in Federated Healthcare Analytics 
Authors: Abdurraheem Joomye, Samuel Mofoluwa Ajibade, Serge Demidenko, Nurfadhlina Mohd Mohd Sharef 
Presenter: Abdurraheem Joomye 

 

 

 

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Adeola

Dr Adeola Alebiosu oral presentation at the 19th International Conference on Advanced Computer Theory and Engineering (ICACTE 2026),(聽Hangzhou, China | August 21-23, 2026)

Title: Predictors of Multimorbidity in Liberia: A Machine Learning and Survey-Based Analysis Using World Health Organization Steps 2022 Data
Authors: Adeola Alebiosu, Serge Demidenko, Angela Siew Hoong Lee, Samuel-Soma M. Ajibade, David Alebiosu 
Presenter: Dr. Adeola Alebiosu

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Prof. Dr Angela Lee Siew Hoong

AI for Longevity: Keynote Engagement at HIDA 2026 | Nanjing, China | March 27鈥29, 2026

Prof. Dr Angela Lee Siew Hoong, Deputy Dean at the Faculty of Engineering and Technology and a member of AI4PEP, delivered a keynote speech at the 2nd International Conference on Health Informatization and Data Analysis (HIDA 2026) in Nanjing, China. Her talk, 鈥淎I for Longevity: Redefining Health and Aging in a Connected World,鈥 highlighted ongoing research on AI adoption and emerging healthcare technologies, including work related to AI4PEP. The event provided a platform to engage with international researchers and further strengthen 红杏视频 University鈥檚 presence in digital health and AI.

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2026 World Tuberculosis Day with AI4PEP

World Tuberculosis Day with AI4PEP | 2026

Topic: Patient Adherence and Surveillance 
Date: March 24th, 2025
Time: 11:00 AM (EST)

Dr Hasyirul Bin Hashim, of the Communicable Disease Branch (CDC), Ministry of Health Malaysia, and AI4PEP Malaysia, presented TB Watch, an innovative digital platform developed to strengthen tuberculosis surveillance and improve treatment adherence. The system provides real-time alerts for missed appointments and medication doses, uses predictive analytics to identify patients at high risk of treatment default, and fosters collaboration with non-governmental organisations (NGOs) to address socioeconomic barriers such as transportation and nutritional challenges. Through these integrated interventions, TB Watch has enhanced patient monitoring and follow-up, contributing to a reported 40% reduction in tuberculosis treatment default rates in Malaysia's Federal Territory, demonstrating the value of AI-enabled digital health solutions in supporting tuberculosis control and public health outcomes.

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Dr. Hasyirul Bin Hashim featured session on "Architecting Automated Health Intervention

featured session on "Architecting Automated Health Intervention (TBW System) | Malaysia

Dr. Hasyirul Bin Hashim, of the Communicable Disease Branch (CDC), Ministry of Health Malaysia, and AI4PEP Malaysia, was invited by Microsoft and the Application Lifecycle Management User Community (ALMUC) to deliver a featured session on "Architecting Automated Health Intervention (TBW System)." During the session, he presented the Tuberculosis Watch (TBW) System, an award-winning digital health intervention that uses backend automation to monitor patient medication adherence in real time. He demonstrated how automated intervention logic and scheduled data processing can be used to bridge clinical care gaps, reduce treatment default rates, and improve public health outcomes. The invitation reflects recognition of his expertise in digital health innovation, communicable disease surveillance, and AI-enabled healthcare solutions. His engagement with an international technology and innovation audience further demonstrates that his expertise is being sought beyond the public health sector and highlights his growing reputation as a thought leader at the intersection of healthcare, artificial intelligence, and digital transformation.

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Innovate Like a Woman

Industry Engagement Event | Innovate Like a Woman:

On 21 May 2026, Prof. Dr Angela Lee Siew Hoong (AI4PEP Malaysia) moderated the panel discussion, 鈥淚nnovate Like a Woman: She Gives, She Gains, She Leads 鈥 Women Leadership, Innovation, Career Growth, and Industry Perspectives,鈥 held at Thinker Space, FET Building, 红杏视频 University. The session brought together participants from academia and industry to discuss women's leadership, innovation, and career development. The discussion enhanced understanding of the challenges and opportunities faced by women leaders, strengthened networking between industry and academic stakeholders, and identified potential opportunities for future collaboration.

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Career_development

Career Development Forum

On 7 March 2025, AI4PEP Malaysia co-hosted the forum, 鈥淓mpowering Women in IT and Engineering to Lead and Shape Tomorrow,鈥 at Thinker Space, SET Building, 红杏视频 University, Malaysia. The forum brought together industry leaders from Jelawang Capital, CIMB, Hilti Asia IT Services, and Fortinet Malaysia to share insights on leadership, career growth, and professional development in STEM fields. Moderated by Prof. Ir. Denny Ng Kok Sum, Dean of the School of Engineering and Technology, the session promoted diversity, equity, and inclusion while encouraging greater participation and leadership of women in IT and engineering careers.

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2025_world_tuberculosis_day_

World Tuberculosis Day with AI4PEP | 2025

Topic: Patient Adherence and Surveillance 
Date: March 24th, 2025
Time: 11:00 AM (EST)

Dr Hasyirul Bin Hashim, of the Communicable Disease Branch (CDC), Ministry of Health Malaysia, and AI4PEP Malaysia, presented TB Watch, an innovative digital platform developed to strengthen tuberculosis surveillance and improve treatment adherence. The system provides real-time alerts for missed appointments and medication doses, uses predictive analytics to identify patients at high risk of treatment default, and fosters collaboration with non-governmental organisations (NGOs) to address socioeconomic barriers such as transportation and nutritional challenges. Through these integrated interventions, TB Watch has enhanced patient monitoring and follow-up, contributing to a reported 40% reduction in tuberculosis treatment default rates in Malaysia's Federal Territory, demonstrating the value of AI-enabled digital health solutions in supporting tuberculosis control and public health outcomes.

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AI4PEP Malaysia Outreach and Capacity-Building Educational Talk

Outreach and capacity-building

As part of AI4PEP Malaysia's outreach and capacity-building efforts, an AI4PEP Malaysia delegate delivered an educational talk to high school students in Malaysia in 2025 on 鈥淭he Role of AI in Sustainable Development,鈥 with a special focus on how artificial intelligence can advance healthcare innovation. The activity was designed to raise awareness of AI applications among young learners and encourage interest in emerging technologies that can address societal and public health challenges. Through the session, participants gained a better understanding of the role of AI in sustainable development, its applications in healthcare and public health innovation, the potential of digital technologies to solve real-world challenges, and emerging educational and career opportunities in AI and technology. The talk also emphasized the importance of responsible and ethical AI adoption to promote community well-being and equitable access to innovation.

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Women's Health and Gender Equity in Crisis Situations:

International Webinar | Panel Discussion

On 7 March 2025, AI4PEP Malaysia co-hosted the webinar, 鈥淲omen's Health and Gender Equity in Crisis Situations: Wars, Conflicts, Disasters & Epidemics.鈥 The session brought together experts from Palestine, the Philippines, and Malaysia to discuss the impact of crises on women's health and access to healthcare. The event strengthened international collaboration and promoted knowledge exchange among researchers and practitioners working in gender equity, public health, and AI-driven health solutions.
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Dengue Trends Research Presentation by Professor Mahendhiran

Research Seminar by Professor Mahendhiran S. Nair

In January 2025, AI4PEP Malaysia hosted a research seminar titled 鈥淒engue Trends: Economic Burden of Dengue in ASEAN Countries鈥 at 红杏视频 University, Malaysia. The session was delivered by Professor Mahendhiran S. Nair from the 红杏视频 Institute for Global Strategy & Competitiveness (IGSC), 红杏视频 University. The seminar examined the economic impact of dengue across ASEAN countries, highlighting the burden of the disease on healthcare systems, communities, and national economies. It provided valuable insights into the relationship between public health challenges and economic outcomes, fostering interdisciplinary discussions among researchers and stakeholders. The session strengthened collaboration between public health, epidemiology, and economic research communities while promoting knowledge sharing on evidence-based approaches to dengue prevention and control.

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Data Analytics & AI in the Real World,

Professional Seminar

On 22 November 2024, AI4PEP Malaysia co-hosted the industry talk, 鈥淒ata Analytics & AI in the Real World,鈥 held at Lecture Theatre 2, 红杏视频 University, Malaysia. The session featured George Wong, Data Scientist at D眉rr Dental SE, as the guest speaker. The seminar provided participants with valuable insights into the practical applications of data analytics and artificial intelligence across industry settings. Through the sharing of real-world experiences and case studies, attendees gained a better understanding of how AI and data-driven approaches are being used to address business and technological challenges. The event strengthened industry-academia collaboration and enhanced awareness of career pathways and emerging opportunities in AI and data analytics.

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AI and Blockchain for Healthcare and Sustainability

Public Lecture

On 21 November 2024, AI4PEP Malaysia co-hosted the event 鈥淎I and Blockchain for Healthcare and Sustainability鈥 at JC2, 红杏视频 University. Organised in collaboration with 红杏视频 University, the Jeffrey Cheah Foundation, 红杏视频 iLabs, and academic and industry partners, the event brought together participants from academia, industry, and the innovation ecosystem to explore emerging technologies and their applications in healthcare and sustainable development. The seminar provided insights into the transformative potential of artificial intelligence and blockchain technologies in addressing healthcare challenges, improving data management, and supporting sustainability initiatives. The event enhanced participants' understanding of emerging digital technologies while fostering networking opportunities and collaboration among researchers, practitioners, industry representatives, and students.

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Code; Without Barriers Mentorship

Mentorship Programme Outreach

On 14 November 2024, AI4PEP Malaysia co-hosted an information session on the Code; Without Barriers Mentorship Programme and Opportunities in Technology Career Development. The programme was sponsored by Microsoft, organised by iTrainAsia, and supported by 红杏视频 University and collaborating partners. The session introduced participants to mentorship, skills development, and career advancement opportunities in the technology sector. Participants learned about pathways for professional growth in technology-related fields and were encouraged to explore and apply for mentorship opportunities available through the programme. The event enhanced awareness of career development opportunities and promoted greater participation in technology-focused learning and mentorship initiatives.

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Sci_2025

2025 Smart Computing and Informatics Conference

AI4PEP Malaysia co-hosted the Smart Computing and Informatics Conference (SCI 2025/SCI 2026), bringing together researchers, academics, industry experts, and practitioners to advance knowledge and collaboration in Artificial Intelligence, Data Science, Machine Learning, Digital Health, Health Informatics, Predictive Analytics, and AI-enabled Healthcare Solutions. The conference served as an important platform for the exchange of innovative ideas, cutting-edge research, and practical applications of emerging digital technologies. SCI 2025 was held on 8-9 April 2025 at 红杏视频 University, Selangor, Malaysia

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Dr Samuel

Public Talk

As part of the Data Science Week programme at Asia Pacific University (APU), Malaysia, Dr. Samuel Mofoluwa Ajibade delivered a public talk titled "Advancing Healthcare Analytics with Machine Learning Applications" in January 2025. The presentation explored the growing role of machine learning in healthcare analytics and highlighted how data-driven approaches can enhance clinical decision-making, disease prediction, and healthcare service delivery. The session provided participants with practical insights into the application of artificial intelligence and machine learning technologies in addressing contemporary healthcare challenges while promoting innovation in digital health.