جستجوی استاد راهنمای دانشگاهی

Zhiyong Huangمشاهده پروفایل

دانشیار

• Data Analytics
• Machine Learning
• Computer Vision
• +۶ مورد دیگر

Zhiyong Huang is an Associate Professor at the National University of Singapore (NUS) School of Computing. He holds multiple leadership roles, including Deputy Director of the NUS Business Analytics Centre, Director of the Computing Translational Research & Development (C-TReND) Centre, and Assistant Dean (Industry Relations). He is also a Senior Principal Investigator at the NUS Chongqing Research Institute. Education: PhD in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL), MEng and BEng in Computer Engineering from Tsinghua University. Leadership: Senior Member of ACM and IEEE, Pioneer Member of ACM SIGGRAPH, and Chair of the Singapore ACM SIGGRAPH Chapter. Research Interests: His work spans Data Analytics, Machine Learning, Computer Vision, Human-Robot Interaction, and Computer Graphics. Key projects include the NUS Digital Twin initiative and secure data analytics pipelines. Article Trends: Recent publications focus on time series generation, cryptocurrency benchmarks, medical image registration, and phishing detection. These works integrate machine learning, computer vision, and multimodal systems. Scientific Awards: Finalist, World Technology Summit & Awards (Entertainment, 2010) Bronze, National Science and Technology Progress Award (1992) Tsinghua 12.9 Distinguished Young Teacher Award (1989) Grants & Service: Extensive involvement in Singapore's IT Standards Committee, review panels for EDB SIIRD projects, and editorial roles. He has served as PC co-chair, local chair, and reviewer for numerous conferences and journals.

• Artificial Intelligence
• Data Science
• Machine Learning
• +۵ مورد دیگر

Lizi Liao is an Assistant Professor at the School of Computing and Information Systems , Singapore Management University (SMU) , specializing in Artificial Intelligence and Conversational AI . Her research bridges Machine Learning , Natural Language Processing , and Multimodal Systems , focusing on proactive dialogue systems, multimodal conversational search, and task-oriented interactions. Education : PhD in Computer Science (2019) from the National University of Singapore (NUS) , advised by Professor Tat-Seng Chua . Research Interests center on principles of human conversational understanding and machine implementation, particularly in proactive conversational agents , multimodal dialogue systems , and target-driven conversation planning . Key applications include emotional support systems , intelligent shopping assistants , and learning companions . Recent Publications (2024-2025) highlight her work on LLM-based proactive dialogue , multimodal emotion recognition , and dynamic graph modeling , often integrating NLP , Multimedia , and Knowledge Graphs . Collaborative projects with her CoAgent Lab team emphasize human-AI interaction and ethical response generation . Scientific Awards : Google South Asia & Southeast Asia Research Award 2023 Lee Kong Chian Fellow Teaching includes Visual Analytics for Business Intelligence (undergraduate) and Text Analytics and Application (graduate). She also serves as Associate Editor for TOIS and TOMM , and organizes tutorials at ACL , SIGIR , and WSDM .

Cheung Ngai-Manمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Augmented Intelligence
• Data Science
• +۴ مورد دیگر

Cheung Ngai-Man is an Associate Professor and Associate Head of Pillar (Education) at Singapore University of Technology and Design (SUTD), part of the Information Systems Technology and Design (ISTD) pillar. He holds a Ph.D. in Electrical Engineering from the University of Southern California (2008) and has held research positions at Stanford University, Texas Instruments, IBM, and others. His research focuses on image and signal processing, computer vision, machine learning, and artificial intelligence. Education: Ph.D., Electrical Engineering, University of Southern California (2008); Postdoctoral research at Stanford University (2009–2011). Research Interests: Develops algorithms for multimedia data processing, explores interdisciplinary applications of signal processing and AI, and addresses challenges in computer vision and generative models. Recent work includes fairness in generative models, few-shot image generation, and adversarial robustness. Publications: Over 100+ peer-reviewed papers in top venues (CVPR, NeurIPS, IEEE TIP, TPAMI) focusing on computer vision, generative models, and AI security. Notable 2023 work includes studies on label-only model inversion attacks and fairness metrics in generative systems. Awards: Best Paper Finalist (CVPR 2019), SAIL Award Finalist (WAIC 2019), Outstanding Associate Editor (IEEE T-MM), Croucher Foundation Fellowship. Students: Supervised postdocs (Hossein Nejati, Fang Lu), research assistants (Mohammad Rostami), and visiting students (Ma Rui). Labs/Teams: Leads research groups in AI, computer vision, and multimedia systems at SUTD. Has spun off AI initiatives for wound care and contributed to Singapore’s National AI Strategy.

Lin Weisiمشاهده پروفایل

استاد

• Artificial and Augmented Intelligence
• Computer Science and Engineering
• Electrical and Electronic Engineering
• +۵ مورد دیگر

Prof. Lin Weisi is an Associate Dean (Research) and Professor at the College of Computing & Data Science, Nanyang Technological University (NTU). He holds the President's Chair in Computer Science and is a Fellow of IEEE and IET. His research focuses on image processing, video compression, multimedia communication, and AI-driven applications. He has authored over 400 refereed papers, holds 16 patents, and contributed to international standards. Notable contributions include the COVID-19 Test Strip Reader and databases like the Retargeted Image Subjective Quality Database . He leads the ROSE Lab and has supervised numerous students and researchers globally. His awards include Fellowships from SIET and excellence recognitions in China and Singapore. Educational Background: B.Sc./M.Sc. (Electronics/Digital Signal Processing, Sun Yat-Sen University), Ph.D. (Computer Vision, King’s College London). Research Interests: Perception-based modeling, neural network compression, AI for environmental monitoring, and perceptual quality assessment. His work bridges academic research and industrial deployment, emphasizing practical applications. Grants & Projects: Managed over 10 major projects in digital multimedia, including collaborations with institutions like the Institute for Infocomm Research and Tencent. Current initiatives include lightweight deep learning for image processing and AI-driven climate monitoring. Awards & Honors: Recognized as a Chartered Engineer, Honorary Fellow of SIET, and recipient of prestigious awards in China and internationally.

Koteswar Rao Jerripothulaمشاهده پروفایل

استادیار

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Dr. Koteswar Rao Jerripothula is an Assistant Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in the SPCOM stream. Previously, he served as an Assistant Professor at Indraprastha Institute of Information Technology Delhi (IIIT-Delhi). He holds a PhD from Nanyang Technological University (Singapore) and a BTech from IIT Roorkee. His research focuses on Computer Vision, Artificial Intelligence, and Multimedia Signal Processing, with applications in healthcare informatics and federated learning. Education: PhD (2017), Nanyang Technological University BTech (2012), Indian Institute of Technology Roorkee Research Interests: Computer Vision and Image Processing Multimedia Computing and Systems Artificial Intelligence and Machine Learning Computational Health and Biomedical AI His Visual Intelligence and Multimedia Signals (VIMS) Lab explores topics like co-saliency detection, federated learning, and light-weight biometrics. The lab seeks students with strong coding and communication skills. Contact: vims.iitk@gmail.com.

Kai Fong Ernest Chongمشاهده پروفایل

استادیار

• Combinatorics
• Commutative Algebra
• Artificial Intelligence
• +۵ مورد دیگر

Kai Fong Ernest Chong is an Assistant Professor in the Information Systems Technology and Design (ISTD) pillar at Singapore University of Technology and Design (SUTD). He also served as an adjunct assistant professor at Nanyang Technological University's Division of Mathematical Sciences. His research focuses on combinatorics, commutative algebra, and artificial intelligence, particularly in algebraic machine reasoning and robust AI systems. He leads SUTD's thrust on the fundamentals of AI systems and has secured over SGD 8.3 million in research grants as principal investigator (PI) or co-investigator (Co-I). Ernest holds a PhD in Mathematics from Cornell University (2015) under Edward Swartz. He has extensive teaching experience, including courses on algorithms, discrete mathematics, and probability. His work includes pioneering algebraic machine reasoning, connecting commutative algebra to AI, and developing frameworks for federated learning and robustness against data noise. Notable achievements include a 2023 breakthrough in algebraic machine reasoning surpassing human performance in IQ test tasks and a 2003 National Science Talent Search Grand Prize for his work on twin primes. He supervises numerous PhD, master’s, and postdoctoral researchers and actively collaborates with industry partners through projects like ASTRALIS and Alpha-DRACONIS.

• Machine Learning
• Natural Language Processing
• Multimedia Systems
• +۳ مورد دیگر

Liao Lizi is an Assistant Professor and Lee Kong Chian Fellow at Singapore Management University's School of Computing and Information Systems. She received her Ph.D. from the National University of Singapore under Professor Tat-Seng Chua. Her research explores the intersection of Machine Learning, Natural Language Processing, and Multimedia, focusing on developing conversational AI systems. Key areas include: Proactive conversational agents that anticipate user needs Multimodal conversational search and recommendation systems Task-oriented dialogue frameworks Human-machine collaborative systems Emotional support and empathetic response generation Her publications demonstrate a strong focus on advancing conversational AI through novel architectures for dialogue planning, multimodal understanding, and knowledge-enhanced generation. Recent work shows increasing emphasis on LLM optimization, financial reasoning benchmarks, and emotional intelligence in dialogue systems. Scientific Awards: Lee Kong Chian Fellowship Google South Asia & Southeast Asia Research Awards 2023 She leads the CoAgent Lab and advises multiple PhD students including recipients of the SMU Presidential Doctoral Fellowship. Current teaching includes Visual Analytics for Business Intelligence (IS428) and Text Analytics and Application (ISSS609).

• Artificial Intelligence
• Data Science
• Data Management & Mining
• +۵ مورد دیگر

Steven Hoi is a full-time Professor of Computer Science at the School of Computing and Information Systems (SCIS) within Singapore Management University (SMU) . He is currently on leave but remains actively engaged in academic research. His primary research domains include Artificial Intelligence , Data Science , and Machine Learning , with specific emphasis on Vision-Language Models , Time Series Forecasting , and Human-Machine Collaborative Systems .

Tsuhan Chenمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Vision
• Pattern Recognition
• +۳ مورد دیگر

Tsuhan Chen is a Distinguished Professor and Deputy President (Research and Technology) at the National University of Singapore (NUS), serving as Chief Scientist of AI Singapore and Co-Chair of the SIA-NUS Digital Aviation Corporate Laboratory. Previously, he served as Dean of the College of Engineering at Nanyang Technological University and held professorships at Cornell University and Carnegie Mellon University. Education: Ph.D. in Electrical Engineering, California Institute of Technology M.S. in Electrical Engineering, California Institute of Technology B.Sc. in Electrical Engineering, National Taiwan University A globally recognized expert in pattern recognition, computer vision, and machine learning, Prof. Chen's research centers on media artificial intelligence including computer vision, pattern recognition, multimedia coding/retrieval, and biometric authentication. His work has produced over 300 technical publications and nearly 30 US patents. His recent publications reveal dominant themes in computer vision and multimedia processing, with significant contributions to image captioning, semantic segmentation, emotion recognition, and medical imaging through advanced techniques like deep learning, tensor regularization, and multimodal fusion. Scientific Awards: Charles Wilts Prize (1993) NSF CAREER Award (2000-2003) Benjamin Richard Teare Teaching Award (2006) Eta Kappa Nu Award (2007) Michael Tien Teaching Award (2014) Robert M Janowiak Award (2017) Fellow of IEEE Fellow of Institute of Engineers, Singapore Prof. Chen has secured substantial research funding including the NSF CAREER Award and directed the Advanced Multimedia Processing Laboratory at Cornell. He currently leads national AI initiatives through AI Singapore and has championed interdisciplinary research programs aligned with Singapore's RIE2020 strategy.

Ashraf A. Kassimمشاهده پروفایل

استاد

• Computer Vision
• Medical Image Analysis
• Image Processing
• +۲ مورد دیگر

Ashraf A. Kassim is a Professor at the Singapore University of Technology and Design (SUTD) and serves as Associate Provost for the Office of Education and Innovation. He holds a PhD from Carnegie Mellon University and previously held positions including Professor of Electrical & Computer Engineering at the National University of Singapore (NUS), where he also served as Vice-Provost (Research) and Vice-Dean of Engineering. His industry experience includes research at Texas Instruments developing machine vision systems. His research spans computer vision , medical image analysis , machine learning , and deep learning . Key applications include diagnostic radiography, generative adversarial networks (GANs) for image synthesis, facial landmark detection, and attribute-based fashion retrieval systems. His work integrates advanced neural architectures with real-world challenges in healthcare and multimedia. Publications (170+ articles) emphasize deep learning-driven solutions: recent works focus on medical imaging (cell classification, radiograph analysis), generative models (text-to-image synthesis, GANs), and computer vision applications (facial analysis, fashion retrieval). Awards and Honors: Mendaki Foundation’s Anugerah Cemerlang (Academic Excellence Award) Institution of Engineers Singapore Award (2011) Public Administration Medal (Bronze, 2012) National Day Long Service Award (2018) NUS Annual Teaching Excellence Award Administrative service includes board memberships at Singapore Science Centre, Singapore Synchrotron Light Source, and Centre for Maritime Studies. He contributes to academic committees and journal editorial boards internationally.