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Zaw Myo TUN is a Research Fellow (Adjunct) at the Saw Swee Hock School of Public Health, National University of Singapore, and serves as Senior Manager (Research and Evaluation) at IRD Global Singapore. His academic career includes roles such as Postdoctoral Fellow (2022) and Research Associate (2013–2021) at the same school. He holds a PhD from NUS (2016–2021), an MSc in Epidemiology from the London School of Hygiene & Tropical Medicine (2011–2012), and an MBBS from the University of Medicine, Mandalay, Myanmar (2003–2008). His research focuses on epidemiology, global health, tuberculosis vaccines, and public health policy. Key interests include maternal vaccination coverage in low-resource settings, hospital-acquired infections (e.g., MRSA), antibiotic resistance, and the ethical implications of pandemic control measures. He has contributed to studies on SARS-CoV-2 transmission dynamics, road traffic injury patterns in Bhutan, and malaria drug policy compliance in India. His publications analyze public perceptions of health policies, such as during the COVID-19 pandemic, and explore factors influencing healthcare behaviors in diverse populations. His work bridges clinical data (e.g., electronic medical records) and population-level health surveillance to inform evidence-based interventions. While no awards are explicitly mentioned, his research has addressed critical global health challenges like tuberculosis control in Myanmar and antimicrobial stewardship in Singapore primary care settings. Zaw Myo TUN’s career emphasizes translational research, linking academic findings to real-world health system improvements. His roles span academia and non-profit sectors, reflecting a commitment to addressing public health disparities through collaborative, policy-driven solutions.

• Epidemiology
• Global Health
• Tuberculosis Vaccines
• +3 more

Min Yen Kan is an Associate Professor and Vice Dean of Undergraduate Studies at the National University of Singapore's School of Computing, Department of Computer Science. With a PhD from Columbia University (2002), he leads the Web Information Retrieval / Natural Language Processing Group (WING.NUS) and serves as ACL Ethics Committee co-chair. His research spans Natural Language Processing , Large Language Models , Digital Libraries , and Information Retrieval , with specific focus on scientific discourse analysis, fact verification, and multimodal systems. Current projects include Scholarly Document Information Extraction (TRL 6), Task-Oriented Dialogue Systems (TRL 4), and Recommendation Systems (TRL 5). Recent publications reveal strong trends in LLM limitations (bias, hallucination, evaluation), conversational recommendation systems , and misinformation detection . His work consistently bridges theoretical NLP with real-world applications in digital libraries and scientific communication. Award highlights include: CIKM 2019 Best Paper Award ACL Distinguished Service Awards Vannevar Bush Best Paper Award (JCDL 2012) ACM Distinguished Speaker designation Kan mentors PhD students with placements at Google and USTC, and serves as associate editor for Information Retrieval and survey editor for Journal of AI Research . His lab WING.NUS develops practical tools like SciWING for scientific document processing and FANG for fake news detection. Media engagements include commentary on AI regulations in Southeast Asia and workforce implications in the AI era.

• Natural Language Processing
• Large Language Models
• Digital Libraries
• +7 more

Roles and Affiliations: Full Professor at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU). Research Advisor to Xiaosen Zheng and Kankan Zhou. Serves as Action Editor for Transactions of the Association for Computational Linguistics (TACL) , Program Co-Chair of EMNLP 2019, and Editorial Board Member of Computational Linguistics (2015-2017). Education: PhD in Computer Science, University of Illinois at Urbana-Champaign (2008) B.S. and M.S. in Computer Science, Stanford University Research Focus: Specializes in natural language processing (NLP), text mining, machine learning, and data mining. Current interests include question answering, social media content analysis, and combating misinformation. Explores topics like counterfactual syntax for cross-lingual understanding, interventional training for robust NLU, and bias detection in vision-language models. Publications: Over 100+ peer-reviewed papers across top conferences (ACL, EMNLP, NAACL) and journals. Recent work emphasizes multimodal analysis, hate speech detection in memes, and robustness improvements for large language models. Key themes include cross-lingual systems, knowledge base question answering, and misinformation mitigation. Grants & Advising: Supervises PhD/Master’s students in cutting-edge NLP research. Leads projects on model memorization studies, hate meme classification, and interventional training frameworks. Active in organizing conferences and editorial roles. Teaching: Teaches courses in software foundations and programming fundamentals, bridging theory and practical NLP applications.

• Natural Language Processing
• Machine Learning
• Data Mining
• +4 more

Jochen Wirtz is the Vice Dean of MBA Programmes and Professor of Marketing at the National University of Singapore (NUS Business School). He holds a Ph.D. in services marketing from the London Business School and has held leadership roles, including founding director of the UCLA–NUS Executive MBA Programme and member of the NUS Teaching Academy. His research focuses on service management, intelligent automation, AI, and corporate digital responsibility. A globally recognized authority, he has authored over 20 books, including Services Marketing: People, Technology, Strategy (9th ed.) and Intelligent Automation , with translations in 26+ languages. His awards include the Christopher Lovelock Career Contributions Award (AMA) and the Academy of Marketing Science’s Outstanding Marketing Teacher Award. He advises international firms like Accenture and KPMG and is involved in start-ups such as Dataswyft and TranscribeMe. His work emphasizes ethical AI, service robots, and cost-effective excellence, contributing to both academic research and industry practice. Wirtz’s research spans service robots, platform economies, and luxury services. His recent studies explore generative AI’s impact on service encounters, corporate digital responsibility, and B2B customer experience strategies. He actively engages with industry through consulting, keynote speaking, and executive education.

• Service Management
• Intelligent Automation
• Artificial Intelligence (AI)
• +6 more

Dr. Wenxuan Zhang is a tenure-track Assistant Professor at the Information Systems Technology and Design (ISTD) Pillar of Singapore University of Technology and Design (SUTD), supported by the prestigious SUTD Assistant Professorship (SAP) award. He holds a PhD from The Chinese University of Hong Kong and previously worked as a research scientist at Alibaba Group Singapore. His research focuses on advancing large language models (LLMs) to be both inclusive (supporting multilingual capabilities) and trustworthy (ensuring safety and robustness). Key projects include SeaLLMs (specialized for Southeast Asian languages), Babel (serving 90% of global speakers), and M3Exam (LLM evaluation framework). Education: PhD in Computer Science, The Chinese University of Hong Kong Previous roles: Research Scientist at Alibaba Singapore (2022) Research Interests: Multilingual LLMs, AI safety, model evaluation, and cross-lingual adaptation. He leads projects addressing LLM trustworthiness through safety mechanisms and fair evaluation practices. Awards & Recognition: SUTD Assistant Professorship (2025) Alibaba Star (2022) ITU Best Innovate for Impact Award (2024) Service & Leadership: Area Chair for NeurIPS 2025, ACL 2025, and multiple other top conferences. Actively contributes to program committees for conferences like ICLR and EMNLP. Current Projects: Multilingual LLMs, model compression, safety frameworks, and evaluation methodologies. Openings for PhD/Postdoc researchers in these areas.

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Multilingual Language Models
• +5 more

Min Lee is a Full-time Assistant Professor of Computer Science at Singapore Management University's School of Computing and Information Systems (SCIS). Holding a PhD from Carnegie Mellon University (2021), Lee specializes in Artificial Intelligence with a focus on Human-AI Collaborative Systems and their applications in healthcare. Their research bridges technical innovation with human-centric design, emphasizing trustworthiness, explainability, and accessibility in AI systems. Research interests include decision-making optimization, human-machine collaboration, and AI-driven solutions for healthcare challenges such as stroke rehabilitation, elderly care monitoring, and clinical decision support. Lee has pioneered low-cost AI/robotic solutions for post-stroke rehabilitation exercises, integrating socially assistive robotics with real-time feedback mechanisms. Recent work highlights AI's role in enabling trustworthy clinical decision-making through explainable AI (XAI) techniques like counterfactual explanations and gradient-based methods. Their systems address ethical concerns in predictive healthcare and advocate for stakeholder-inclusive design processes. Awards and grants: No specific awards mentioned in the profile, though research has been supported through collaborative projects with clinical partners and iterative user evaluations involving therapists and patients. Advising focuses on multidisciplinary projects spanning AI, healthcare, and human-computer interaction. Current advisees include BHOSALE Rimmon Saloman, TRAN Truong Thuy, and YANG Xinlin. Lee collaborates closely with clinical stakeholders to translate technical advancements into practical healthcare solutions, emphasizing iterative design and real-world applicability. Labs/teams: Active in SCIS's AI and Data Science initiatives, leading projects on intelligent decision support systems, socially assistive robotics for rehabilitation, and human-centered AI ethics frameworks.

• Artificial Intelligence and Data Science
• Decision Making & Optimization
• Machine Learning & Intelligence
• +8 more

Associate Professor Tan Cher Heng is an Associate Professor at the Lee Kong Chian School of Medicine (Nanyang Technological University Singapore) and Assistant Dean (Clinical Research). He serves as a Senior Consultant at Tan Tock Seng Hospital's Department of Diagnostic Radiology and holds leadership roles in the National Healthcare Group (NHG) as Group Chief Research and Innovation Officer and Director of the Academic Partnerships Office. His expertise spans radiology, artificial intelligence (AI) in healthcare, and clinical research innovation. He completed an MBBS (Singapore), FRCR (UK), and an Executive MBA from Insead. Education: MBBS, Singapore FRCR (UK) Abdominal Imaging Fellowship at MD Anderson Cancer Center Executive MBA from Insead Research Interests: His work focuses on advancing AI-driven diagnostics in radiology, optimizing imaging techniques for liver and prostate cancers, and translating clinical research into healthcare practice. He has pioneered initiatives like the national imaging AI platform (AimSG) and contributed to guidelines for imaging appropriateness and technology adoption. His research bridges clinical practice, innovation, and population health. Articles Summary: Recent publications emphasize AI applications in pneumonia diagnosis, radiology education, and liver/prostate cancer imaging. Themes include AI ethics, imaging cost-effectiveness, and guideline adaptation for diseases like tuberculosis and COVID-19. His work highlights leveraging technology to improve diagnostic accuracy and healthcare accessibility. Labs/Teams: He leads the Academic Partnerships Office and collaborates with global networks like the Asian Oceanian Society of Radiology. His roles in NHG and LKCMedicine drive cross-disciplinary projects in AI, clinical research, and medical innovation.

• Radiology
• Artificial Intelligence in Healthcare
• Medical Imaging
• +3 more

Adam John Privitera is a Research Fellow at Nanyang Technological University (Singapore) in the Centre for Research and Development in Learning (CRADLE). He holds a PhD in cognitive science from the University of Hong Kong's Faculty of Education. His research focuses on bilingualism's cognitive impacts, particularly language experience on decision-making and executive function, and applies neuroscience findings to education policy. He has authored publications in top journals like Higher Education and Bilingualism: Language and Cognition, and serves on editorial boards for Trends in Neuroscience and Education and Frontiers in Psychology. Previously, he served as a Medical Sergeant in the U.S. Army (2002–2012), Psychology Instructor/Program Chair (2011–2016), AP Psychology Teacher (2016–2021), and Assistant Professor of Psychology in China (2021–2023). Research interests include: 1) Translating cognitive/neural science into educational practices; 2) Language experience effects on cognitive control; 3) Neuroeducational markers for learning. His work bridges experimental psychology with real-world educational challenges, emphasizing bilingualism's role in cognitive reserve and academic integrity. Recent articles highlight systematic reviews on generative AI in education assessment, bilingualism's holistic cognitive effects, and neural mechanisms of learning. His research methodologies include ERP studies, eye-tracking, and neuroimaging. Privitera also explores AI's ethical implications in aphasia therapy and mental health monitoring among university students. His career spans military service, teaching, and academic research, reflecting a multidisciplinary approach to education and cognition.

• Cognitive Science
• Educational Policy
• Bilingualism and Cognition
• +4 more

Dr. Alastair Gornall is an Associate Professor in History and Religion at Singapore University of Technology and Design (SUTD) and Associate Head of HASS (Research & Faculty Affairs). He is also a Research Associate in the Department of Languages and Cultures of South Asia at SOAS, University of London. His research focuses on the intellectual and cultural history of Buddhism in South and Southeast Asia, with a particular emphasis on Pali literature and monastic reform. Education: PhD in South Asian Studies, University of Cambridge (2013) MA in Study of Religions, SOAS, University of London (2009, Distinction) BA in Study of Religions, SOAS, University of London (2008, 1st Class Hons.) Research Interests: Intellectual and cultural history of Buddhism Medieval Pali literary theory Monastic reform movements in Sri Lanka South and Southeast Asian religious studies His work bridges historical analysis, textual criticism, and digital humanities. He co-leads SUTD’s digital humanities minor program, integrating computational methods into humanities education. Awards & Grants: Robert H. N. Ho Family Foundation Research Fellowship (2018) SUTD Pedagogy Research Grant (2014) Rapson Scholarship, University of Cambridge (2009–2012) Advising & Grants: Active in mentoring students in Buddhist studies and digital humanities Recipient of grants supporting research into Pali literature and monastic history Labs/Teams: Leads the digital humanities initiative at SUTD, fostering interdisciplinary collaboration between computer scientists and humanities scholars.

• Intellectual History
• Cultural History
• Buddhism
• +5 more

Yohei Kato is a Research Fellow at the Lee Kuan Yew Centre for Innovative Cities, Singapore University of Technology and Design (SUTD). He holds a PhD in Architecture and Sustainable Design (SUTD, 2023), an MSc in Community Development (University of California, Davis, 2015), and a BA in International Development (University of Tsukuba, 2013). His research focuses on community engagement, urban sustainability, and participatory methodologies. Key areas include empowerment mechanisms, mixed-methods research, social network analysis, and youth participation in urban design. He supports projects such as the 'Integrated Socio-Temporal Study of Outdoor Recreation Spaces in Singapore' and has contributed to initiatives in Japan, India, Bangladesh, and the US. Recent work explores how outdoor spaces influence social interactions and wellbeing, as well as strategies for inclusive built environments through participatory approaches. Education: PhD in Architecture and Sustainable Design (SUTD, 2023) MSc in Community Development (UC Davis, 2015) BA in International Development (University of Tsukuba, 2013) Research Themes: Community development and empowerment Urban design for inclusivity Photovoice & participatory methods Social network analysis Youth & children's participation Outdoor spaces and wellbeing Key Projects: Outdoor Recreation Spaces in Singapore study Placekeeping initiatives in Japan Landscape democracy analysis along Singapore’s Rail Corridor His work bridges academic research and practical urban planning, emphasizing collaborative frameworks to address contemporary challenges in community development and sustainable design.

• Community Development
• Urban Studies
• Empowerment
• +8 more

HU Bei is an Assistant Professor at the National University of Singapore specializing in translation studies, with research spanning political, ethical, and health communication domains. His work integrates empirical methodologies to analyze cross-cultural translation dynamics. He holds a Ph.D. from the University of Melbourne and maintains academic operations from NUS office AS8/06-33, contactable via telephone 65-6516-3908. His core research interests include: Reception studies examining audience interpretation of translated texts Political translation analyzing ideological framing in diplomatic contexts Translation ethics addressing neutrality dilemmas in sensitive content Mediated health communication for cross-cultural medical settings Empirical/experimental approaches applying data-driven methods to translation theory No scientific awards were documented in the source material. Teaching responsibilities encompass graduate-level courses including Consecutive Interpreting (INT3202), Mass Media Translation (TRA3202), Translation and Interpreting Theories (TRA3206), and Translation Studies (CH4281), though no student advising details or grant funding information was provided. Research infrastructure affiliations such as laboratories or collaborative teams were not referenced in the available documentation.

• Reception studies
• Political translation
• Translation ethics
• +2 more

James Derrick Sidaway is Professor of Political Geography at the National University of Singapore with prior positions at the University of Amsterdam and Plymouth University. His research examines political geography, geopolitics, and the intersections of geography with area studies. Current projects analyze China's Belt and Road Initiative (BRI), urban governance in global cities, and the history/philosophy of geographical thought. Publications frequently explore spatial dimensions of power and infrastructure. Editorial roles include co-editorship of the Singapore Journal of Tropical Geography and past association with Political Geography.

• Political Geography
• Geopolitics
• Urban Studies
• +3 more

Professor Michelle Cheong Lee Fong is a full-time faculty member at the School of Information Systems, Singapore Management University. She holds leadership roles as Associate Dean for Post-Graduate Professional Education and Director of the Doctor of Engineering program, and is actively involved in designing educational frameworks for technology-driven learning. Current affiliations: Singapore Management University (School of Information Systems) Research focus: Supply chain coordination, spreadsheet modeling, and educational technology Key courses taught: Computer as an Analysis Tool, Financial Modeling, Process Modeling Her research interests in supply chain coordination span strategic hub location optimization, tactical supplier coordination, and operational transportation planning. She also specializes in spreadsheet modeling for business decision-making, having developed textbook resources and case studies for logistics networks and financial planning. Recent work explores AI's role in digital education, including ChatGPT's impact on assessment design and ethical considerations in AI-driven pedagogy. The articles she has written or co-authored demonstrate expertise in operations research, educational technology, and AI applications. Topics include optimization theory, heuristic algorithms for scheduling, and digital assessment frameworks that integrate learning analytics. Her work bridges spreadsheet modeling's pedagogical value with modern challenges like ChatGPT's influence on student learning. Her teaching portfolio includes courses such as IS102 (Computer as an Analysis Tool), IS304 (Process Modeling), and FNCE645 (Financial Modeling). These courses emphasize practical skills in translating business requirements into technology solutions through spreadsheet-based analytical frameworks.

• Supply Chain Coordination
• Spreadsheet Modeling
• Decision Making & Optimization
• +3 more

Prof. Wang Yulan is a Professor of Metabolomics at the Lee Kong Chian School of Medicine (NTU) and Director of the Singapore Phenome Centre (SPC). She holds an honorary appointment at Imperial College London's School of Public Health. She earned her PhD in Physical Chemistry from the University of East Anglia (UK) in 1997. Her career includes postdoctoral research at the Institute of Food Research and John Innes Centre (UK), followed by roles at Imperial College London and the Chinese Academy of Sciences under the '1000 Talents Program.' Her research integrates NMR and LC-MS spectroscopy with computational modeling to study metabolic effects in infectious diseases and nutritional interventions. She leads the Singapore Phenome Centre, focusing on systems-level metabolic studies. Prof. Wang's work spans microbiome medicine, aging, and translational metabolomics applications. Education: PhD in Physical Chemistry, University of East Anglia, UK (1997) Research Interests: Metabolomics and systems biology approaches Microbiome-host interactions Metabolic biomarker discovery Applications in infectious diseases and public health Lab/Teams: Singapore Phenome Centre (SPC), collaborating with Dr. Low Yanwen Dorrain and international institutions.

• Metabolomics
• Microbiome Medicine
• Nutrition and Metabolism
• +7 more

Benjamin EE Kum Chuin is an Adjunct Lecturer at Singapore Management University’s School of Accountancy. He leads RSM Singapore's Litigation Support and Forensics practice, with over 20 years of experience in forensic accounting, compliance advisory, and fraud investigations. Previously, he led the forensic practice of a Big 4 firm in Beijing. His expertise spans fraud investigations, anti-bribery/corruption compliance, and dispute resolution for multinational and Chinese firms across energy, life sciences, and manufacturing sectors. Education : Fellow Chartered Accountant, Institute of Singapore Chartered Accountants (ISCA) Financial Forensic Professional certification from ISCA Association of Chartered Certified Accountants (ACCA) qualification Benjamin’s research focuses on forensic accounting methodologies, fraud prevention during crises, and compliance frameworks for multinational enterprises. His work bridges academic insights with practical applications in high-stakes regulatory environments. He frequently speaks at regional conferences and advises Trace Excellence, a non-profit advancing export control and trade compliance knowledge. Key contributions include analyzing economic crime trends across Asia and guiding clients through regulatory inquiries from stock exchanges and international bodies like the U.S. SEC. He is recognized in the Who’s Who Legal: Investigations for forensic accounting expertise. Professional Engagements : Forensic Accounting Expert, Trace Excellence Speaker at Singapore-China compliance forums Advisor on third-party audits and anti-bribery reviews Benjamin’s academic and industry roles emphasize translating forensic accounting principles into actionable strategies for businesses navigating complex regulatory landscapes.

• Forensic Accounting
• Fraud Investigations
• Anti-Bribery/Corruption Compliance
• +3 more