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نمایش ۱۶-۳۰ از ۴۳ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

CHIN Wei Nganمشاهده پروفایل

دانشیار

National University of SingaporeSingapore

CHIN Wei Ngan is an Associate Professor at the Department of Computer Science, School of Computing, National University of Singapore (NUS). His academic credentials include a PhD in Computing from Imperial College of Science, Technology and Medicine (1990), an MSc in Computer Science from University of Manchester (1983), and a BSc (First Class Honours) in Computer Science from University of Manchester (1982). Research Focus His research spans several interconnected domains in computer science: Foundations of programming languages and advanced type systems Automated program verification and analysis techniques Dependable software construction methodologies Formal software specification models Programming language design principles Research Projects Automated Specification Discovery for Trusted Software (MoE Tier-2 funded) Security - Software Library Verification (NRF-funded) SLEEK: Entailment Prover for Separation Logic HIP: Program Verifier for Imperative Languages HIPO: Program Verifier for Object-Oriented Languages Fixpoint Calculator development Teaching He teaches CS2030 Programming Methodology II, focusing on modern programming paradigms and methodologies.

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Ganesh Neelakanta Iyerمشاهده پروفایل

مدرس

National University of SingaporeSingapore

Ganesh Neelakanta Iyer is a Lecturer in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD (2012) and MSc (2008) from NUS and a B.Tech. in Computer Science and Engineering from Mahatma Gandhi University, India (2004), where he ranked first. He brings over a decade of industry experience from companies like Salesforce, NXP, and Progress Software, and prior academic roles at Amrita Vishwa Vidyapeetham and IIIT-Hyderabad. His research interests span Software Engineering , Cloud/Edge Computing , Machine Learning , AI for Cultural Heritage , and Software Engineering Education . He founded the STeAdS (Software Engineering and Technological Advancements for Society) research group in 2021, focusing on technology applications in healthcare, education, and traditional arts like Kathakali and Wayang Kulit. The recent publications highlight a strong trend in AI-driven educational technologies , including LLMs for curriculum customization, web-based DevOps learning platforms, and agile project management tools. Another major theme is AI in cultural preservation , with works on Kathakali gesture and facial expression recognition. A third stream involves distributed systems and networking , particularly in edge computing and federated learning. Faculty Teaching Excellence Award 2024, NUS AWS Educate Cloud Faculty Ambassador (2019, 2020) Certified Kubernetes Administrator (CKA) University Topper (First Rank, 2004) NUS Postgraduate Research Scholarship (2009–2012) Dr. Iyer mentors students through UROP, FYP, Master’s, and PhD projects, and has led numerous grants and initiatives in cloud computing education and AI for societal benefit. He has delivered workshops and keynote speeches across the USA, Europe, Australia, and Asia. He actively leads the STeAdS virtual research group, fostering global collaborations. As a maestro in Kathakali, he integrates traditional art with technology, composing and staging performances while applying AI to preserve and analyze this heritage.

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Kok Lim Lowمشاهده پروفایل

مدرس ارشد

National University of SingaporeSingapore

Dr. Kok Lim Low serves as a Senior Lecturer in the Department of Computer Science at the School of Computing, National University of Singapore (NUS), where he has established himself as a leading researcher in computer graphics and computational art. With over two decades of academic service, he bridges technical innovation with creative applications while maintaining exceptional teaching standards. His educational foundation includes: Ph.D. in Computer Science from the University of North Carolina at Chapel Hill (2006) M.Sc. in Computer Science from the National University of Singapore (1997) B.Sc. (Honours) in Computer Science from the National University of Singapore (1996) Dr. Low's research centers on computational approaches to visual media, with three interconnected pillars: Computational Art explores algorithmic generation of artistic papercraft and pop-up books; Real-Time Rendering develops GPU-accelerated global illumination techniques; and Computational Photography enhances image aesthetics through depth adaptation and recomposition. His work consistently merges mathematical rigor with artistic sensibility, producing methods that automate creative processes while preserving aesthetic integrity. Analysis of his recent publications reveals an evolving trajectory from core graphics research toward computer science education innovation. While maintaining strong output in computational art (evident in his 2014-2015 pop-up design papers), his 2021-2023 work demonstrates significant contributions to CS1 pedagogy through educational tool development and curriculum design, reflecting his dual commitment to research and teaching excellence. His scientific recognition includes: Three Faculty Teaching Excellence Awards from NUS School of Computing (2014, 2016, 2017) Best Paper Award at Computer Graphics International Conference (2015) Honorable Mention at ACM CHI Conference (2011) As an educator, Dr. Low has advised Ph.D. and Master's students while serving on numerous thesis committees. He teaches foundational courses like Programming Methodology to freshmen alongside advanced topics including Graphics Rendering Techniques, demonstrating equal commitment to novice and advanced learners. His student mentorship extends to undergraduate research projects across the computing curriculum. Dr. Low operates within NUS Computing's collaborative research ecosystem, where his interdisciplinary work connects computer science with art and design disciplines. His laboratory contributions focus on developing practical computational tools that transform creative workflows while advancing theoretical understanding of visual media processing.

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Lars Grunskeمشاهده پروفایل

استاد مهمان

National University of SingaporeSingapore

Lars Grunske is a Visiting Professor at the School of Computing, Department of Computer Science, at the National University of Singapore (NUS). His role focuses on research contributions and academic collaboration within the computing domain. His research interests align broadly with computer science, particularly in areas such as software engineering, systems engineering, computer architecture, and distributed systems. While specific details about his projects or publications are not provided in the text, his affiliation with NUS Computing underscores his expertise in advancing computational technologies and methodologies.

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Kuo Chuen Leeمشاهده پروفایل

استاد مدعو

National University of SingaporeSingapore

Prof Kuo Chuen Lee is an Adjunct Professor at the Department of Finance, NUS Business School, National University of Singapore. His research spans Urban and Regional Planning, Banking and Finance, Human Resources Management, Strategy and Organizational Behavior, and Transportation Logistics. He has also contributed significantly to Blockchain Technology and Fintech innovation. His work includes pioneering studies on cryptocurrency fundraising mechanisms, trust promotion in blockchain e-commerce, and the LASIC principles for FinTech ventures. Lee has authored/co-authored multiple influential publications in journals like Journal of Financial Perspectives , World Scientific Annual Review of Fintech , and Journal of The British Blockchain Association . His recent research focuses on agentic AI frameworks for Fintech applications, cryptocurrency investment dynamics, and regulatory mechanisms for decentralized systems. Lee’s earlier work includes foundational studies on Singapore’s vehicle quota system and COE auction mechanisms in the 1990s, demonstrating long-term contributions to both theoretical and applied economics. Lee’s academic contributions are characterized by interdisciplinary approaches bridging finance, technology, and public policy. His collaborations span institutions globally, with notable co-authors including Shi J, Härdle WK, and Teo EGS. His research has been cited widely, particularly in studies addressing blockchain trust systems and cryptocurrency market behavior.

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Toh Kim Chuanمشاهده پروفایل

استاد

National University of SingaporeSingapore

Professor Toh Kim Chuan is the Leo Tan Professor in Science and serves as Research Director (Technical) at the Institute of Operations Research and Analytics (IORA) within the National University of Singapore (NUS). His primary affiliation is with the Department of Mathematics in the Faculty of Science. His research focuses on matrix optimization problems, large-scale semidefinite programming, fast algorithms for statistical and machine learning tasks, and iterative methods for solving large linear systems in optimization contexts. His recent work emphasizes contributions to nonsmooth nonconvex optimization, distributionally robust optimization, and scalable algorithms for sparse and low-rank optimization problems. Notable methodologies include Bregman proximal algorithms, adaptive sieving techniques, and inexact augmented Lagrangian methods. Professor Toh is also actively involved in developing computational tools like CDOpt for Riemannian optimization and frameworks for low-bit communication in distributed model training. While no specific awards are listed, his extensive publication record (over 150 papers from 2020-2025) demonstrates significant contributions to optimization theory and applications. His research bridges theoretical foundations with practical implementations, addressing challenges in large-scale systems, machine learning, and operations research.

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Michael D. Adamsمشاهده پروفایل

استادیار

National University of SingaporeSingapore

Michael D. Adams serves as an Assistant Professor in the Department of Computer Science at the National University of Singapore's School of Computing. His academic appointment centers on advancing research and teaching within Computer Science, operating from the institution's primary campus at 13 Computing Drive, Singapore. Research Interests: Dr. Adams specializes in Programming Languages and Software Engineering, with concentrated expertise in compiler design, programming language implementation, and software development methodologies. His work bridges theoretical language constructs with practical engineering solutions to enhance software reliability and developer efficiency. Teaching Responsibilities: He currently instructs key courses including: CS2103: Software Engineering CS2103T: Software Engineering CS4215: Programming Language Implementation These courses form critical components of NUS Computing's undergraduate curriculum, emphasizing hands-on development and systems-level understanding.

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Alan Megargelمشاهده پروفایل

دانشیار

Singapore Management UniversitySingapore

Alan Megargel is a Full-time Associate Professor of Information Systems (Practice) at the School of Computing and Information Systems, Singapore Management University. He holds a Doctor of Innovation from SMU (2018). His research focuses on Information Systems & Technology, Software Engineering, and Digital Transformation, with a strong emphasis on banking technology and ESG risk assessment. Megargel teaches enterprise integration, ePayment processes, and corporate banking technology. He advises three graduate students and has published extensively on topics like blockchain in finance, NewSQL databases, and AI-driven banking solutions. Education: Doctor of Innovation, Singapore Management University, 2018 Research Interests: Banking Technology Modernization (microservices, cloud migration) AI/ML Applications in Finance (ESG risk modeling, customer-centric AI) ESG Integration in Corporate Systems Low/no-code development for digital banking His work bridges technical innovation with strategic priorities like digital transformation and sustainable finance. Article Trends: Recent work emphasizes blockchain applications, machine learning for ESG risk assessment, and architectural frameworks for modern banking systems. Early career publications focused on legacy system modernization and educational case studies like the SMU Teaching Bank project. Awards: No scientific awards explicitly listed in the profile. Advising & Projects: Research advisor to 3 graduate students Developed the SMU Teaching Bank simulation tool Contributed to LGB Bank case studies on microservices architecture Labs/Teams: Works within SMU's Information Systems research group, collaborating on FinTech, digital banking, and enterprise architecture projects.

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Cristian CADARمشاهده پروفایل

استاد مهمان

National University of SingaporeSingapore

Cristian CADAR is a Visiting Professor at the Department of Computer Science within NUS Computing , National University of Singapore. His research focuses broadly on Computer Science , with specific interests in Software Engineering , Systems Software Research , and related methodologies for robust software systems.

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Jörgen MÖLLERمشاهده پروفایل

دانشیار مهمان

National University of SingaporeSingapore

Jörgen MÖLLER is an Honorary Visiting Associate Professor at the Saw Swee Hock School of Public Health, National University of Singapore, and holds a primary role as Vice President of Modeling Technologies at Evidera (PPD). He holds an MSc in Mechanical Engineering from Lund University, Sweden (1991). His research focuses on advancing modeling methodologies in health economics and epidemiology, particularly through discrete event simulation (DES) and hybrid models like DICE. He emphasizes robust validation frameworks to ensure decision-support models are reliable and transparent. With over three decades of experience, MÖLLER has contributed to modeling applications across airports, healthcare systems, and production networks. His academic work bridges engineering and public health, addressing challenges in cost-effectiveness analysis, resource allocation, and health technology assessment. Key publications include methodological advancements in DES validation, integration of Markov models with DICE, and pragmatic solutions for trustworthiness in economic analyses. Professional roles include CEO/Founder of Simulog AB (1994–2000), Simulation Expert at Caro Research Inc. (2003–2008), and his current leadership at Evidera. He collaborates internationally, authoring textbooks and peer-reviewed articles on discrete event simulation's role in public health decision-making. His work aligns with fostering evidence-based practices through rigorous modeling techniques.

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Sriram SAMIمشاهده پروفایل

مدرس

National University of SingaporeSingapore

Sriram SAMI is a Lecturer (Educator Track) at the School of Computing, National University of Singapore (NUS), affiliated with the Department of Computer Science. He holds a Ph.D. and B.Comp. in Computer Science from NUS, where he continues to contribute to teaching and research in systems, networking, and security. Ph.D. in Computer Science, National University of Singapore B.Comp. in Computer Science, National University of Singapore His research centers on Internet of Things (IoT) , Cyber-Physical Systems (CPS) , and mobile sensing , with a focus on security and privacy . He specializes in leveraging commodity smartphone sensors—particularly time-of-flight (ToF) and LIDAR—for novel applications such as detecting hidden cameras and eavesdropping threats in smart environments. His recent publications, including LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors and Spying with Your Robot Vacuum Cleaner: Eavesdropping via Lidar Sensors , demonstrate a strong trend in identifying privacy vulnerabilities in everyday sensing devices. These works span subfields such as optical sensing, side-channel attacks, embedded systems security, and sensor exploitation, highlighting an interdisciplinary approach combining systems, hardware, and security. He has been recognized for his teaching excellence with multiple awards: Annual Teaching Excellence Award (ATEA) - Team Category (2023/2024) Full Time Teaching Assistant Award (2021/2022) Full Time Teaching Assistant Award (2020/2021) Honors List of Student Tutors (2018/2019) Sriram has taught foundational courses such as CS1010: Programming Methodology , CS3210: Parallel Computing , and CG1111A/CG2111A: Engineering Principles and Practice I & II . His project work includes the NUS Timetable Optimizer , a browser-based tool using Z3 SMT solvers via WebAssembly, and the Singapore Blood Stocks Telegram bot, which scrapes and visualizes blood inventory data. He has also developed tools like an offline plagiarism detector in Rust and browser extensions for productivity. These reflect a strong commitment to educational technology and public service through software. He leads independent research and development efforts, often as a solo or primary contributor, focusing on practical tools that solve real-world problems in education, healthcare, and privacy. His work bridges academic research with tangible applications, emphasizing accessibility, efficiency, and user empowerment.

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Alan Cheng Holunمشاهده پروفایل

مدرس ارشد

National University of SingaporeSingapore

Alan Cheng Holun is a Senior Lecturer in the Department of Computer Science at the National University of Singapore, specializing in computational geometry, computer graphics, and bio-geometric modeling. He received his Ph.D. in Computing Science from the University of Illinois at Urbana-Champagne in 2002 under Herbert Edelsbrunner. Education: B.Sc. (Computing Science, Chinese University of Hong Kong) M.Phil. (Computing Science, Hong Kong University of Science and Technology) Ph.D. (Computing Science, University of Illinois at Urbana-Champaign) Research Interests: Computational Geometry Parametric Surfaces Computer Graphics Visualization Bio-geometric Modeling Courses Taught: CS1010E Programming Methodology CS2040C Data Structures and Algorithms CS3241 Computer Graphics IT5001 Software Development Fundamentals Scientific Contributions: Focus on skin surface meshing, molecular modeling, and mesh deformation algorithms Developed dynamic skin triangulation methods with applications in bio-geometry Pioneering work in quality mesh generation for molecular structures Published extensively in conferences like IEEE Visualization, SODA, and ISAAC Awards: Best Teaching Assistant Award (HKUST, 1996) Collaborations: Former visiting scholar at Duke University's BioGeometry Center Contact: Email: hcheng@comp.nus.edu.sg Office: AS6-05-03, NUS Consultation Hours: Thursday 2:00-4:00pm

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Leong Wai Kayمشاهده پروفایل

مدرس ارشد

National University of SingaporeSingapore

Leong Wai Kay serves as a Senior Lecturer (Educator Track) in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He earned both his Ph.D. in Computer Science (2014) and Bachelor of Computing with First Class Honours (2006) from NUS. Currently, he teaches core undergraduate courses including Programming Methodology (CS1010S) and Software Engineering on Modern Platforms (CS3217), contributing significantly to the computing education at NUS. Education Background Doctor of Philosophy in Computer Science, 2014, National University of Singapore Bachelor of Computing (Honours, First Class), 2006, School of Computing, National University of Singapore Research Focus Dr. Leong's research spans several key areas in computer science, with primary emphasis on Computer Networks and Mobile Cellular Networks . His work investigates performance optimization and security challenges in wireless and cellular environments, including TCP congestion control mechanisms, interference in 802.11 networks, and vulnerabilities in public IP addressing for 4G/LTE. Additional interests include Peer-to-Peer Networking, Programming Languages, Augmented Reality, and Drone Networks, reflecting a broad engagement with both theoretical and applied networking problems. Publication Trends Over the period 2009-2017, Dr. Leong published 10 peer-reviewed articles in top-tier networking conferences. His research trajectory shows a consistent focus on mobile and wireless networking, with particular attention to cellular data networks (3G/4G) and Wi-Fi systems. Key themes include protocol design flaws, measurement studies, and performance optimization. His work often addresses real-world network performance issues, such as ACK delays and interference, demonstrating a practical approach to networking research. Awards and Recognition No scientific awards, fellowships, or major prizes were mentioned in the provided text. Teaching and Mentorship Dr. Leong has taught multiple foundational courses at NUS, including CS1010S (Programming Methodology), CS2105 (Computer Networks), and CS3217 (Software Engineering on Modern Platforms). While the text does not specify his role in student advising, his educator track position suggests a primary focus on teaching excellence and curriculum development.

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Carlo A. Furiaمشاهده پروفایل

دانشیار

Singapore Management UniversitySingapore

Carlo A. Furia is an Associate Professor in the Software Institute at the Faculty of Informatics , Università della Svizzera italiana (USI) in Lugano, Switzerland. His research focuses on formal methods for software engineering , including automated verification, exception handling analysis, and empirical evaluation of software quality techniques. PhD in Computer Science from Politecnico di Milano Master of Science in Computer Science from University of Illinois at Chicago Laurea in Computer Science and Engineering from Politecnico di Milano Research interests span Java bytecode analysis , software reliability , and Bayesian data analysis for empirical studies. His recent work includes verification tools like AutoProof and empirical comparisons of programming languages. He actively contributes to conferences such as FM , ASE , and journals like Empirical Software Engineering (EMSE) . Teaching includes courses like Software Analysis and Software Design & Modeling . He leads the ATOM research group which develops open-source software analysis tools.

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LEE Yeow Leongمشاهده پروفایل

مدرس ارشد

Singapore Management UniversitySingapore

LEE Yeow Leong is a Senior Lecturer at the School of Computing and Information Systems, Singapore Management University, specializing in undergraduate education for software technology programs. He teaches foundational courses including Software Design and Engineering, Object-Oriented Application Development, and Database Management. His educational focus includes curriculum integration for the BSc (IS Management) program, where he designs laboratory experiences and implements Learning-by-Doing pedagogical approaches to enhance student engagement with software development concepts. Research interests center on educational methodologies in computer science, particularly in bridging theoretical concepts with practical implementation through curriculum design and experiential learning frameworks.

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