جستجوی استاد راهنمای دانشگاهی

Cui Yue is a Researcher at the Institute of High-Performance Computing (IHPC), part of the Agency for Science, Technology and Research (A*STAR). He holds a BEng (First Class Honours) in Civil Engineering from the National University of Singapore (2014), an M.S. in Civil Engineering (2015), and a PhD in Aerospace Engineering (2022) from the University of Illinois at Urbana-Champaign. His research focuses on computational mechanics, leveraging multiscale modeling, machine learning, and supercomputing to study structural materials. Key areas include atomistic stress analysis, fracture mechanics, additive manufacturing, and nanostructured materials. He collaborates with industry leaders like Rolls-Royce, Boeing, and Honeywell. Cui Yue's work emphasizes data-driven approaches and computational tools to bridge quantum-mechanical, atomic, and continuum scales. His publications reflect expertise in materials behavior, porosity effects, and grain boundary properties. Key Awards: Aerospace Engineering Alumni Advisory Board Fellowship (2021) Aerospace Engineering Outstanding Graduate Student Fellowship (2020) MSc Class of 1977 Silver Medal (2014) Teaching & Mentoring: Promotes critical thinking through undergraduate and graduate engineering education, emphasizing lifelong learning. Labs/Teams: Leads IHPC initiatives in computational materials science, integrating industry partnerships for applied research.

• Machine Learning
• Multi-scale Modelling
• Computational Mechanics
• +۵ مورد دیگر

Professor KHOO Boo Cheong is a faculty member in the Department of Mechanical Engineering at the National University of Singapore (NUS), affiliated with the College of Design and Engineering. He holds a BA (Hons.) from the University of Cambridge (1980), an MEng from NUS (1984), and a PhD from MIT (1989). His research focuses on Computational Fluid Dynamics (CFD) , Numerical Methods , and Fluid Mechanics , with applications to aerodynamics, turbulence, and fluid-structure interaction. Recent work emphasizes machine learning integration in CFD, bio-inspired UAV design, and icing mechanics for aerospace systems. Key research trends include advancing high-fidelity simulations for complex flows (e.g., turbulence modeling, cavitation suppression), optimizing fluid-structure systems (e.g., lightweight shells, train aerodynamics), and developing novel experimental techniques (e.g., light field PIV, wind spectra analysis). His contributions bridge theoretical CFD innovations with practical engineering challenges in transportation, renewable energy, and robotics. Professor Khoo collaborates on projects involving pressure gain combustion systems , ventilated supercavitating models , and quantum algorithms for fluid dynamics . His lab’s work often combines advanced numerical modeling with experimental validation, addressing real-world issues like wind effects on trains, ice accretion on airfoils, and autonomous navigation systems.

• Fluid Mechanics
• Computational Fluid Dynamics
• Numerical Methods
• +۷ مورد دیگر

LEE Heow Pueh is a Provost’s Chair Professor at the Department of Mechanical Engineering, National University of Singapore. His academic journey includes first-class honours from the University of Cambridge and a PhD from Stanford University. He has extensive experience in research, having served as Deputy Director for Research and later Deputy Executive Director at A*STAR’s Institute of High Performance Computing (2002–2007). His research focuses on acoustics and vibration, metamaterials, computational methods, and mechanics in medicine. He has over 530 peer-reviewed publications and holds multiple patents, including innovations in biofouling prevention and noise mitigation technologies like the 'Sonic Window' and 'Sonic Cage'. LEE has led or co-led numerous grants, such as the 'Sonic Structure Project' (NRF L2NIC) and 'Dynamic Profiling of Locomotion in Marine Creatures' (MOE Tier 1). He is a frequent invited speaker at international conferences, addressing topics like computational otolaryngology and noise barrier design. Professional highlights include keynote roles at ICCM 2014 (Cambridge) and ICVE 2015 (Shanghai), as well as chair positions at institutions like Universidad Carlos III de Madrid. His work bridges mechanics with medicine, contributing to advancements in cardiovascular modeling and facial injury analysis.

• Acoustics and Vibration
• Computational Methods
• Mechanics in Medicine
• +۳ مورد دیگر

Dr. Kat Agres is an Assistant Professor in Contextual Studies – Music Cognition at the Yong Siew Toh Conservatory of Music, National University of Singapore, and a Research Scientist & founder of the Music Cognition group at A*STAR’s Institute of High Performance Computing (IHPC). Her work bridges cognitive science, music technology, and healthcare, focusing on music perception, computational creativity, and music-based MedTech solutions for health and well-being. She holds a PhD in Experimental Psychology from Cornell University and conducted postdoctoral research at Queen Mary University of London, supported by an EU grant. Her research explores auditory statistical learning, music-brain interfaces (BCIs), and the therapeutic applications of music for special populations. Key grants include NIH and NIMH fellowships. Agres actively collaborates across disciplines, presenting globally and publishing in journals like Cognitive Science and Neural Computing and Applications . Beyond academia, she is a cellist with professional orchestral experience and integrates jazz and rock performance into her creative practice. Educational Background PhD in Experimental Psychology, Cornell University (with minor in Cognitive Science) Bachelor’s in Cognitive Psychology & Cello Performance, Carnegie Mellon University Postdoctoral Fellowship, Queen Mary University of London Research Interests Music cognition mechanisms (e.g., memory, expectation) Computational models of creativity and emotion in music Music technology for healthcare (e.g., stroke rehabilitation, dementia therapy) Music’s role in mental health and social connection Grants & Awards Fellowship from the National Institute of Health (NIH) Fellowship from the National Institute of Mental Health (NIMH) Labs & Teams Founder of the Music Cognition group at IHPC/A*STAR

• Music Cognition
• Computational Creativity
• Music Technology
• +۵ مورد دیگر

Yuchen Li is an Associate Professor at the School of Computing and Information System (SCIS) at Singapore Management University (SMU), where he also holds the Lee Kong Chian Fellowship for Research Excellence. He earned his Ph.D. in Computer Science from the National University of Singapore (NUS) in 2017. His research focuses on social analytics, high-performance graph mining, and fintech applications leveraging large language models (LLMs). He has led significant projects funded by MoE, including 'Next-Gen Competitive Intelligence' and 'CONQUEROR' for concurrent graph query processing. His academic contributions span influential publications in top-tier conferences like SIGMOD, KDD, and ICML, with notable works on graph algorithms, fraud detection, and knowledge graph robustness. He advises Ph.D. students and has supervised over a dozen researchers, including current students Xiao Hanhua, Wang Sha, and Ye Chang. His awards include the Lee Kong Chian Fellowship and the Best Demo Paper Award at CIKM 2021. Li’s research bridges theoretical foundations and practical applications, addressing challenges in graph processing, social media analysis, and fintech. His team develops systems like 'Dupin' for fraud detection and 'ThunderRW' for in-memory graph processing, showcasing expertise in GPU acceleration and scalable algorithms.

• Artificial Intelligence
• Data Mining
• Graph Mining
• +۶ مورد دیگر

Zheng Kai is a Lecturer at the Architecture and Sustainable Design Pillar of Singapore University of Technology and Design (SUTD). His research focuses on evaporative cooling systems for tropical thermal comfort, architectural energy efficiency, and pandemic-resilient building design. He holds BCA Green Mark and WELL Building Standard accreditations, reflecting expertise in sustainable and healthy built environments. Education: PhD in Building Science, National University of Singapore (2019) B.Sc (Project & Facilities Management), National University of Singapore (2015) Research Highlights: Zheng’s work bridges environmental science and architectural practice, emphasizing evaporative cooling technologies for sustainable tropical design. He investigates synergistic energy systems in buildings and their impact on wellness, including post-pandemic architectural adaptations. Key projects include optimizing mist-based cooling and ventilation strategies to mitigate disease transmission in high-density spaces. Publications: His research spans 2018–2023, with notable contributions on mist systems efficiency, dormitory ventilation, and thermal comfort metrics in tropical climates. Recent work addresses operational carbon reduction through sustainable cooling solutions. Awards: Recipient of Singapore Teaching and Academic Research Talent (START) award, recognized by the Ministry of Education Engagement: Zheng advises major civic projects like the Chinatown CNY Light-Up Show and has been featured in media discussions on building systems and public health. He teaches courses on Green Building Design, Computational Thinking for Design, and Project Management.

• Evaporative Cooling
• Thermal Comfort for the Tropics
• Architectural Energy Systems
• +۳ مورد دیگر

Professor Low Hong Yee serves as Head of the Engineering Product Development Pillar and holds the Kwan Im Thong Hood Cho Temple Chair Professorship in Healthcare Engineering at the Singapore University of Technology and Design (SUTD). She concurrently acts as Co-Advisor for the Dyson-SUTD Innovation Studio and Deputy Director for the Centre for Healthcare Education, Entrepreneurship and Research (CHEERS). Education: PhD in Macromolecular Science, Case Western Reserve University MSc in Macromolecular Science, Case Western Reserve University BSc in Macromolecular Science, Case Western Reserve University Her research pioneers multi-material and multi-textural design/fabrication, polymer nanofabrication for functional surfaces, and micro/nano-surface integration for sustainability and healthcare applications. Recent breakthroughs include digital knitting of electrical/mechanical functional textiles for wearable healthcare devices and advanced carbon capture materials, bridging engineering innovation with real-world medical and environmental solutions. Analysis of her 2022-2025 publications reveals dominant themes in sustainable engineering (carbon capture membranes, CO2 adsorbents) and healthcare technology (smart textiles for motion monitoring, nanostructured medical devices). Her work consistently integrates multi-material fabrication with surface engineering to address climate change mitigation and precision healthcare. Scientific Awards: No major scientific awards listed in source materials. Grants & Entrepreneurship: Secured SGD 19.6M as PI and SGD 3.3M as Co-PI in research funding. Co-founded Enlitho Private Limited (2016-2018, exited 2018) and Carbon1010 Private Limited (2024-present). Co-authored >150 publications and 30 granted patents with 14 pending and 2 licensed to Nanovue Pte. Ltd. Leads interdisciplinary research teams focusing on digital manufacturing for healthcare and sustainability, having directed SUTD's Digital Manufacturing and Design (DManD) Centre (2018-2022). Current work integrates nanoimprinting, textile engineering, and carbon capture technologies through industry-academia partnerships with Dyson and healthcare institutions.

• Healthcare Engineering
• Sustainable Engineering
• Polymer Nanofabrication
• +۵ مورد دیگر

ZHANG Jiaheng is an Assistant Professor in the Department of Computer Science at the National University of Singapore (NUS), School of Computing. His work bridges cryptography, artificial intelligence, and system security, with a focus on scalable and privacy-preserving technologies. He teaches CS3235 – Computer Security and leads research in zero-knowledge proofs, LLM safety, and trustworthy AI. Research Interests: His research spans Cryptography , Security , Machine Learning & AI , Privacy , and Algorithms & Theory . He specializes in making zero-knowledge proofs practical at scale and securing large language models against jailbreaking, backdoors, and privacy leaks. His recent projects include zkGPT, BatchZK, and Guardreasoner, highlighting his dual focus on theoretical foundations and real-world applications. The recent publications show a strong trend toward scalable zero-knowledge systems and AI security , particularly in verifying and protecting LLMs. These works integrate cryptographic rigor with modern AI challenges, reflecting a cohesive research vision at the frontier of trustworthy computing. Scientific Contributions: Developed scalable collaborative zk-SNARKs for efficient proof generation. Pioneered techniques for secure LLM inference and jailbreak detection. Advanced GPU-accelerated and distributed zero-knowledge proof systems. Advising & Grants: While specific students and grants are not listed, his active publication record in top-tier venues suggests ongoing research supervision and external funding in cybersecurity and AI. He is likely involved in advising PhD and Master’s students in cryptography and AI security. Labs & Teams: He is part of the NUS School of Computing research ecosystem, potentially affiliated with cybersecurity or AI labs, contributing to Singapore’s leadership in privacy-preserving technologies.

• Cryptography
• Security
• Artificial Intelligence
• +۷ مورد دیگر

Assoc. Prof. Stefan Adams holds a prominent role in the Department of Materials Science and Engineering at the National University of Singapore (NUS), where he has served as an Associate Professor since 2011. Previously, he was an Assistant Professor at NUS (2005–2010) and held academic positions at Göttingen University, Germany, including Senior Lecturer (2000–2005) and Lecturer (1994–2000). He also maintains adjunct roles at the Solar Research Institute of Singapore and A*Star Institute of Materials Research and Engineering. His professional journey is complemented by a robust educational background, including a PhD in Physics/Crystallography from Saarland State University (1991) and postdoctoral research at the Max-Planck-Institute for Solid State Research (1992–1994). His research focuses on advancing energy storage and conversion technologies through the integration of experimental and computational methods. Key areas include in situ characterization of materials via electrochemical, neutron, and X-ray diffraction techniques, alongside molecular dynamics simulations and reverse Monte Carlo modeling. He explores structural prerequisites for efficient charge/mass transport in solids, targeting applications in lithium batteries, fuel cells, and solar energy systems. Notable contributions include understanding polyanion transport dynamics, developing novel methods for ion-conducting materials, and optimizing nanocrystalline particle interfaces. Recent work highlights include studies on solid-state electrolytes for lithium and sodium batteries, computational screening of battery materials, and interface engineering for enhanced battery performance. His interdisciplinary approach bridges crystallography, electrochemistry, and materials manufacturing, with a focus on sustainable energy solutions. Collaborative efforts with industry and academic institutes further underscore his commitment to translational research.

• Materials Science
• Energy Storage Technologies
• Solid-State Batteries
• +۵ مورد دیگر