جست‌وجوی استاد و پژوهشگر

• Software Engineering
• Artificial Intelligence
• Human-Computer Interaction
• +۴ مورد دیگر

Christoph Treude is an Associate Professor at Singapore Management University's School of Computing and Information Systems. He holds a PhD from the University of Victoria (2012) and leads research in software engineering, AI, and digital transformation. His work bridges theoretical foundations with practical applications in industry settings. His research focuses on: Software engineering methodologies and maintenance Human-AI collaboration in development workflows Microservice architecture optimization LLM applications in code analysis Digital transformation in emerging economies Software sustainability practices Ethical AI development frameworks Recent publications (2023-2025) demonstrate strong emphasis on generative AI integration in software development, microservice architecture optimization, and empirical studies of developer behavior. His work frequently addresses challenges in AI adoption, code maintenance, and cross-disciplinary applications of computing technologies. He currently advises graduate researchers: GUAN Xueting LOK Kek Wee

WONG Lim Soonمشاهده پروفایل

استاد

• Computational Biology
• Algorithms & Theory
• Database
• +۶ مورد دیگر

WONG Lim Soon is the KITHCT Chair Professor at the School of Computing , National University of Singapore (NUS). He also served as Deputy Dean of the NUS Graduate School and currently directs the Integrative Sciences and Engineering Programme . His career spans significant contributions to database theory, computational biology, and knowledge discovery technologies. Education: B.Sc. (Engineering) in Computing Science, First Class Honours, Imperial College London Ph.D. in Computer & Information Science, University of Pennsylvania His research interests intersect computational biology , database theory , and knowledge discovery . He focuses on enhancing proteomic profile analysis, addressing confounders in omics data, predicting transcription factor interactions, and rethinking synchronized iteration in programming languages. His work aims to improve biomarker reproducibility in proteomics and design robust statistical methods for omics analysis. His recent publications highlight advancements in genomic data processing , proteomics , and database algorithms . Key themes include non-equijoin efficiency , batch effect normalization , and protein family prediction in low-similarity regimes. Scientific Awards & Honours: Fellow of the ACM, 2013 ICDT 2014 Test of Time Award (with Peter Buneman and Val Tannen) FEER Asian Innovation Gold Award, 2003 (with Allen Yeoh, Huiqing Liu, and Jinyan Li) Singapore Youth Award Medal of Commendation, 2006 Limsoon co-founded Molecular Connections in India and has chaired the company for over a decade, growing it into a 2,000-person organization. His research is supported by grants from Singapore’s National Research Foundation and Ministry of Education Academic Research Fund (Tier-1 and Tier-2). He also develops open-source tools like Synchrony DBModel and GMQL implementations in Scala/Python.

Duane Lohمشاهده پروفایل

دانشیار

• Nanotechnology
• Biophysics
• Materials Science
• +۳ مورد دیگر

Duane Loh is an Associate Professor at the National University of Singapore (NUS), affiliated with the Centre for BioImaging Sciences. His research focuses on developing computational methods to analyze microscopy data, combining machine learning with physical priors. He earned his PhD from Cornell University in 2010 and has pioneered techniques in X-ray and electron microscopy, particularly in single-particle imaging and nanocrystal dynamics. Education: PhD in Physics, Cornell University (2010) Research interests include structural dynamics of biomolecules, nucleation processes in nanocrystals, and improving imaging techniques through algorithmic innovations. His group, the Computational Lens Group, has developed methods like 'Dragonfly' for X-ray laser data analysis and 'Pop-out Metrology' for high-throughput TEM imaging. Recent work emphasizes machine learning applications in microscopy, such as classifying structural motifs in nanoparticles and studying ice nucleation in supercooled water. His team's advancements in data-driven analysis have enabled insights into biological systems and materials at nanometer scales. Key achievements include the NUS Early Career Research Award and recognition as a Lee Kuan Yew Postdoctoral Fellow. He leads interdisciplinary projects involving collaborators from physics, chemistry, and computational science. Current projects explore correlative imaging techniques for butterfly wing structures and developing AI-driven microscopy tools for real-time analysis. His group's GitHub repository hosts open-source software like 'Dragonfly' for single-particle reconstruction.

Liviu UNGURمشاهده پروفایل

استادیار

• Quantum Chemistry
• Electronic Structure Theory
• Ab Initio Calculations
• +۵ مورد دیگر

Liviu UNGUR is an Assistant Professor in the Department of Chemistry at the National University of Singapore. He holds a B.Sc. (2004), M.Sc. (2005) from State University of Moldova, and an M.Sc. (2006) and Ph.D. (2010) from KU Leuven, Belgium. His postdoctoral research included roles at FWO (2010-2018), KU Leuven, and Lund University (2015-2016). Research Interests: Focuses on quantum chemistry, electronic structure theory, and ab initio calculations. Specializes in crystal field models, magnetic relaxation, single-molecule magnets, and weak intermolecular interactions. His work bridges theoretical and experimental studies of lanthanide, actinide, and transition metal compounds. Teaching: Teaches CM2133 Foundations of Physical Chemistry and CM5235 Applied Computational Chemistry . Awards: Postdoctoral Mandate, Fonds Wetenschappelijk Onderzoek Vlaanderen (FWO) Best Doctoral Thesis in Molecular Magnetism (2014) Key Research Contributions: Pioneered ab initio crystal field methodologies for lanthanides, identified design principles for high-temperature single-molecule magnets, and explored toroidal magnetism in lanthanide clusters. His work integrates quantum chemistry with materials science for applications in spintronics and quantum computing.

Mijian Xuمشاهده پروفایل

پژوهشگر ارشد

• Seismotectonics
• Seismic imaging
• Geodynamics
• +۳ مورد دیگر

Mijian Xu is a Research Fellow at Nanyang Technological University who joined the MIG research group in December 2021. His academic background includes a PhD in Geology from Nanjing University (2021) and an MSc in Geophysics from the same institution (2016). His research focuses on investigating Earth's inner structures in the Tibetan Plateau and surrounding regions. Xu specializes in using receiver function techniques to image earth discontinuities, velocity structures, and anisotropies. As an advocate of open-source software, he has developed significant tools for seismic data processing including Seispy and SplitRFLab . Seismotectonics Seismic imaging Geodynamics of Tibetan Plateau Wavefield Simulation in Complex Media Xu's publications demonstrate expertise in developing computational methods for seismic analysis, particularly his 2022 paper on Seispy which presents a Python module for batch calculation and post-processing of receiver functions. His 2018 Earth and Planetary Science Letters paper provides insights into the subducted Indian slab and the origin of the Tengchong volcano in Southeast Tibet.

Chung Wei Bernard Leongمشاهده پروفایل

دانشیار مدعو

• Artificial Intelligence
• Business Strategy
• Technology Management
• +۳ مورد دیگر

Dr Chung Wei Bernard Leong is an Adjunct Associate Professor of Strategy and Policy at the National University of Singapore (NUS Business School) and an Adjunct Lecturer in Artificial Intelligence at the Institute of Systems Science. He holds a PhD from the University of Cambridge and has extensive corporate experience, including roles as CEO/co-founder of Dorje AI, Head of AI/ML at Amazon Web Services (ASEAN), and leadership positions at Singapore Post and Woh Hup. His research interests span artificial intelligence, business strategy, digital transformation, and media studies. Education: PhD in Mathematics from the University of Cambridge (2003), MASt in Mathematics (2000), and BSc (Merit) from NUS (1998). Certifications include Senior Accredited Director (SID) and Fellow of the Singapore Computer Society. Research focuses on the intersection of AI, entrepreneurship, and digital ecosystems. Notable articles include analyses of startup management, media communication theory, and the application of thermodynamics principles to information systems. He hosts the Analyse Asia podcast and is an active angel investor in AI/Web3 startups via the XA Network. Awards include recognition as a Fellow of the Singapore Computer Society and certifications in data protection governance. His professional networks span academia and industry, with contributions to Singapore's entrepreneurial ecosystem and digital policy development.