【马来西亚双威大学主办 | ACM出版】第二届智能医疗与可穿戴智能设备国际学术会议（SHWID 2025)，往届会后2个月见刊，3个月检索！

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

徐礼胜，教授、博士生导师、IEEE高级会员、中国医药信息学理论与教育专业委员会轮值执行主任委员、中国中医药信息研究会诊断信息分会副会长、中国生物医学工程学会高级会员、第六届辽宁省学科评议组成员等。国际杂志Physiological Measurement、Biomedical Engineering Online、Computers in Biology and Medicine等的编委。

研究方向为生物医学信号与影像分析、医学计算机辅助诊断技术。目前作为项目负责人主持多项国家自然基金面上项目、教育部博士点基金项目和辽宁省自然科学基金项目等。同企业合作开展“知识库专家系统项目之心率变异分析算法研究”、“睡眠数据采集与数据相关性研究技术服务”等横向项目。先后获得“辽宁省优秀硕士指导教师”、“沈阳市优秀研究生导师”、辽宁省“十百千高端人才引进工程”**层次、辽宁省“青年拔尖人才”等荣誉。目前已发表218篇国际杂志、会议论文，已获得17项发明专利授权。

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

名誉顾问

张元亭 教授

香港中文大学 (IAMBE Fellow, IEEE Fellow, AIMBE Fellow)

Denny Ng Kok Sum 院长/教授

Sunway University

Angela Lee Siew Hoong 副院长/教授

Sunway University

廖洪恩，清华大学终身教授，上海交通大学讲席教授、生物医学工程学院院长，国家级高层次人才计划入选者（创新人才） 

陈雪利，西安电子科技大学 华山学者领军教授，先进诊疗技术与装备陕西省高等学校重点实验室主任，入选国家级领军人才、国家级青年人才 

刘澄玉 教授，东南大学教授，仪器科学与工程学院院长 (IET Fellow) 

任洪亮 教授

香港中文大学

夏泽洋 教授

上海交通大学 (IET Fellow)

徐礼胜 教授

东北大学

何强 教授

东北大学

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

李晓欧教授

上海健康医学院 

Aslina Baharum 副教授

Sunway University

Saad Aslam 副教授

Sunway University

吴万庆 副教授

中山大学 

Javid Iqbal Thirupattur

Sunway University

Nor Akmar Binti Mohd Yahya

Sunway Universit

智能医疗与人工智能

生物信息学与生物信号处理

 AI诊断与辅助诊疗

AI医学影像与生物医学影像

疾病风险预测与建模

远程医疗与人工智能医学

智能健康管理

人工智能虚拟助手

智能系统

智能环境

智能传感器

健康风险评估与建模

自然语言处理

医疗物联网

医疗大数据和机器学习

远程医疗、移动医疗和物联网技术

医疗废弃物智能管理

数据融合技术的医疗应用

智能医院与数字健康系统

医疗健康信号处理

生物信号的检测、分析与分类算法

 可穿戴设备的生物信号采集与前端处理技术

    生物传感与智能感知技术

    生理参数无创/微创监测

    信号处理在神经科学中的应用

    人工智能在生物医学信号处理中的应用

    可穿戴设备及信号处理

    生物医学数据挖掘和模式识别

    生物分子结构与功能预测

    单细胞测序数据分析

    生物通路与网络分析

医疗机器人与人机交互

可穿戴与柔性设备

辅助机器人、外骨骼与智能导诊机器人

医疗机器人

康复与辅助机器人

骨科手术用机器人

    辅助机器人

    外骨骼与智能导诊机器人

    康复与辅助机器人

    神经肌肉接口和脑机接口

人机交互技术

人工智能虚拟助手

可穿戴的智能健康检测设备

    柔性电子技术与柔性可穿戴医疗设备

    医疗物联网技术与智能感知

    穿戴式能源管理与自供能技术

医疗物联网技术

智能感知与医疗健康监测