Prof. Dr. J. Joshua Thomas, University of Wollongong (UOW), Malaysia 

Dr J. Joshua Thomas is a Professor of Computer Science at the University of Wollongong Malaysia, where he leads research and academic initiatives in modern AI and data analytics. He holds a PhD in Intelligent Systems Techniques from Universiti Sains Malaysia, with his doctoral research focusing on adaptive computational frameworks for complex decision-making systems.

With more than two decades of experience in higher education and research, Prof Thomas’s expertise spans intelligent systems, deep learning, graph neural networks, quantum machine learning, and data-driven optimization. His current research explores the integration of deep learning and graph-based models for applications such as drug discovery, autonomous systems, and intelligent process automation.

Prof Thomas has authored and edited over a dozen books published by leading academic publishers including Wiley, Elsevier, and IGI Global, and has contributed more than fifty scholarly papers to high-impact journals and international conferences. He also serves as an editorial board member and guest editor for several international journals in computing and engineering, including the International Journal of Energy Optimization and Engineering.

Beyond his scholarly work, Prof Thomas has served in multiple leadership roles, including Head and Deputy Head of the Department of Computing, and has been actively involved in collaborative research projects supported by national and international grants. He is regularly invited to deliver keynote and plenary talks, workshops, and lectures at international conferences and universities, sharing insights on emerging trends in artificial intelligence, data analytics, and computational intelligence.

Title: Integrating Graph Neural Networks for Accurate Prediction of Drug-Target Interactions

Prof. Ag. Asri Ag. Ibrahim, Universiti Malaysia Sabah (UMS)

Ag. Asri Ag. Ibrahim is a Professor at the Faculty of Computing and Informatics, Universiti Malaysia Sabah (UMS), and has served as the university's Chief Digital Officer (CDO) since 2020. With a dedicated career at UMS spanning over 26 years, he brings a wealth of academic and administrative experience to his roles. He earned his Doctor of Philosophy (PhD) in Electronics from The University of York, United Kingdom, in 2008. Prior to his doctoral studies, he completed both his Master’s Degree in Computer Science and his Bachelor’s Degree in Computer Science at Universiti Malaya. He is an active and prolific researcher. His primary research interests include data sonification, emotional (Kansei) engineering, artificial intelligence and human-computer interaction. He has authored and co-authored over 144 articles and proceedings, achieving an H-Index of 20. He has also served as a principal investigator and research member on more than 37 research grants. His research findings have been widely disseminated at national and international seminars, where he has been featured as both an invited and keynote speaker. Furthermore, his work has garnered recognition at innovation competitions, winning medals at both national and international levels.Beyond his academic contributions, he is actively involved in community engagement, including STEM programs and technology empowerment initiatives for entrepreneurs. In recognition of his expertise, he has been appointed as a subject matter expert and a member of the digital entrepreneurship committee for the Malaysia Digital Economy Corporation (MDEC).

Title: Toward Empathic BCIs: Fusing EEG, Emotion, and Generative AI in Smart Healthcare

Associate Professor Ts. Dr Aslina Baharum, Sunway University

Ts. Dr Aslina Baharum is an Associate Professor and UX Researcher at the School of Engineering and Technology, Sunway University. Previously, she was a Senior Lecturer at Universiti Teknologi MARA (UiTM), and Universiti Malaysia Sabah (UMS). She also has industry experiences where she worked as an IT Officer for the Forest Research Institute of Malaysia (FRIM). She had experienced more than 20 years in the IT field.

She received a PhD in Visual Informatics (UKM), a Master Science degree in IT (UiTM) and graduated Bachelor of Science (Hons.) in E-Commerce from UMS. She is a member of the Young Scientists Network - Academy of Science Malaysia, Senior Member IEEE, and certified Professional Technologist from MBOT, and served as MBOT/MQA auditor.  

Title：Humanity-Centered AI in Smart Healthcare: Designing Trust, Safety, and Empathy into Wearable Futures

徐禮勝，教授、博士生導(dǎo)師、IEEE高級會員、中國醫(yī)藥信息學(xué)理論與教育專業(yè)委員會輪值執(zhí)行主任委員、中國中醫(yī)藥信息研究會診斷信息分會副會長、中國生物醫(yī)學(xué)工程學(xué)會高級會員、第六屆遼寧省學(xué)科評議組成員等。國際雜志Physiological Measurement、Biomedical Engineering Online、Computers in Biology and Medicine等的編委。

研究方向為生物醫(yī)學(xué)信號與影像分析、醫(yī)學(xué)計算機(jī)輔助診斷技術(shù)。目前作為項目負(fù)責(zé)人主持多項國家自然基金面上項目、教育部博士點基金項目和遼寧省自然科學(xué)基金項目等。同企業(yè)合作開展“知識庫專家系統(tǒng)項目之心率變異分析算法研究”、“睡眠數(shù)據(jù)采集與數(shù)據(jù)相關(guān)性研究技術(shù)服務(wù)”等橫向項目。先后獲得“遼寧省優(yōu)秀碩士指導(dǎo)教師”、“沈陽市優(yōu)秀研究生導(dǎo)師”、遼寧省“十百千高端人才引進(jìn)工程”**層次、遼寧省“青年拔尖人才”等榮譽(yù)。目前已發(fā)表218篇國際雜志、會議論文，已獲得17項發(fā)明專利授權(quán)。

Title：New technology for non-invasive intelligent diagnosis, treatment, and integrated health of cardiovascular system

名譽(yù)顧問

張元亭 教授

香港中文大學(xué) (IAMBE Fellow, IEEE Fellow, AIMBE Fellow)

Denny Ng Kok Sum 院長/教授

Sunway University

Angela Lee Siew Hoong 副院長/教授

Sunway University

廖洪恩，清華大學(xué)終身教授，上海交通大學(xué)講席教授、生物醫(yī)學(xué)工程學(xué)院院長，國家級高層次人才計劃入選者（創(chuàng)新人才） 

陳雪利，西安電子科技大學(xué) 華山學(xué)者領(lǐng)軍教授，先進(jìn)診療技術(shù)與裝備陜西省高等學(xué)校重點實驗室主任，入選國家級領(lǐng)軍人才、國家級青年人才 

劉澄玉 教授，東南大學(xué)教授，儀器科學(xué)與工程學(xué)院院長 (IET Fellow) 

任洪亮 教授

香港中文大學(xué)

夏澤洋 教授

上海交通大學(xué) (IET Fellow)

徐禮勝 教授

東北大學(xué)

何強(qiáng) 教授

東北大學(xué)

Mohamad Fawzi Mahomoodally教授

University of Mauritius

Ker Pin Jern教授

Sunway University

Chua Hui Na教授

Sunway University

Anwar P.P. Abdul Majeed副教授

Sunway University

李曉歐教授

上海健康醫(yī)學(xué)院 

Aslina Baharum 副教授

Sunway University

Saad Aslam 副教授

Sunway University

吳萬慶 副教授

中山大學(xué) 

Javid Iqbal Thirupattur

Sunway University

Nor Akmar Binti Mohd Yahya

Sunway Universit

智能醫(yī)療與人工智能

生物信息學(xué)與生物信號處理

 AI診斷與輔助診療

AI醫(yī)學(xué)影像與生物醫(yī)學(xué)影像

疾病風(fēng)險預(yù)測與建模

遠(yuǎn)程醫(yī)療與人工智能醫(yī)學(xué)

智能健康管理

人工智能虛擬助手

智能系統(tǒng)

智能環(huán)境

智能傳感器

健康風(fēng)險評估與建模

自然語言處理

醫(yī)療物聯(lián)網(wǎng)

醫(yī)療大數(shù)據(jù)和機(jī)器學(xué)習(xí)

遠(yuǎn)程醫(yī)療、移動醫(yī)療和物聯(lián)網(wǎng)技術(shù)

醫(yī)療廢棄物智能管理

數(shù)據(jù)融合技術(shù)的醫(yī)療應(yīng)用

智能醫(yī)院與數(shù)字健康系統(tǒng)

醫(yī)療健康信號處理

生物信號的檢測、分析與分類算法

 可穿戴設(shè)備的生物信號采集與前端處理技術(shù)

    生物傳感與智能感知技術(shù)

    生理參數(shù)無創(chuàng)/微創(chuàng)監(jiān)測

    信號處理在神經(jīng)科學(xué)中的應(yīng)用

    人工智能在生物醫(yī)學(xué)信號處理中的應(yīng)用

    可穿戴設(shè)備及信號處理

    生物醫(yī)學(xué)數(shù)據(jù)挖掘和模式識別

    生物分子結(jié)構(gòu)與功能預(yù)測

    單細(xì)胞測序數(shù)據(jù)分析

    生物通路與網(wǎng)絡(luò)分析

醫(yī)療機(jī)器人與人機(jī)交互

可穿戴與柔性設(shè)備

輔助機(jī)器人、外骨骼與智能導(dǎo)診機(jī)器人

醫(yī)療機(jī)器人

康復(fù)與輔助機(jī)器人

骨科手術(shù)用機(jī)器人

    輔助機(jī)器人

    外骨骼與智能導(dǎo)診機(jī)器人

    康復(fù)與輔助機(jī)器人

    神經(jīng)肌肉接口和腦機(jī)接口

人機(jī)交互技術(shù)

人工智能虛擬助手

可穿戴的智能健康檢測設(shè)備

    柔性電子技術(shù)與柔性可穿戴醫(yī)療設(shè)備

    醫(yī)療物聯(lián)網(wǎng)技術(shù)與智能感知

    穿戴式能源管理與自供能技術(shù)

醫(yī)療物聯(lián)網(wǎng)技術(shù)

智能感知與醫(yī)療健康監(jiān)測