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Associate Professor (Adj.) Rick Siow Mong GOH

Designation & Company: Senior Principal Scientist and Director of Computing & Intelligence at A*STAR's Institute of High Performance Computing (IHPC)

Current Academic/Research/Service Positions:

Co-Director of A*STAR-EVYD Joint Lab: AI for Population Health and Digital Health
Co-Director of SERI-IHPC Joint Lab: AI for Ophthalmology
Adjunct Associate Professor at Duke-NUS Medical School
Adjunct Senior Principal Investigator, Singapore Eye Research Institute (SERI)
Chair of organising committee of the HPC AI Innovation Challenge 2023-2024, organised by National Supercomputing Centre (NSCC), AI Singapore (AISG), Infocomm Media Development Authority (IMDA)
Chair of AI in Healthcare and Life Science Track at the IEEE Conference on Artificial Intelligence 2024
Chair of Organising Committee of Healthcare AI Symposium (HAI) 2024, 2025

Email: gohsm @ ihpc.a-star.edu.sg

Homepage: https://sites.google.com/view/rickgoh/

LinkedIn: https://www.linkedin.com/in/rickgoh/

Google Scholar: https://scholar.google.com/citations?user=fBsBJjoAAAAJ&hl=en

ORCID: https://orcid.org/0000-0001-9116-1595

DBLP: https://dblp.org/pid/24/2670.html

One-sentence statement of the most important economic/societal impact achievement: Rick Goh’s department of 80 staff has secured over S$45M in industry cash and in-kind contributions, trained 150 researchers at the postdoctoral, master's, and bachelor's levels now working in academia or industry, spun off a startup that secured S$26M in investments and created over 30 new jobs, saved 6,000 hospital bed days resulting in S$6M in cost savings through a healthcare solution, and received the Singapore National Award (COVID-19) Commendation Medal.

Research Interests:

Blockchain, Web3, FinTech
Artificial Intelligence (AI), Deep Learning, Federated Learning
Foundation Models, Large Language Models (LLMs)
High Performance Computing (HPC) and Decentralised Computing
Push & Pull Research to Innovation, Commercialisation, and Technology Transfer

Shorter Bio:

Associate Professor (Adj.) Rick Goh is Director of Computing & Intelligence at A*STAR’s Institute of High Performance Computing (IHPC), Associate Professor (Adj.) at Duke-NUS Medical School, Co-Director of A*STAR-EVYD Joint Lab, Senior Principal Investigator (Adj.) at Singapore Eye Research Institute (SERI), and Co-Director of SERI-IHPC Joint Lab. He represented A*STAR to co-organise the inaugural AI Health Summit in 2022 with SingHealth and Ministry of Health. Rick has co-authored 150+ peer-reviewed papers in renowned clinical journals such as Nature Aging, Nature Genetics, The Lancet Digital Health, and top-tier AI and computing journals and conferences such as Nature Machine Intelligence, Nature Communications, IEEE TPAMI, TNNLS, TPDS, Computers, Cybernetics, Transactions on Medical Imaging, Medical Image Analysis, CVPR, CACM, AAAI, IJCAI, MICCAI, and Supercomputing Conference (SC). He has recently won multiple highly-competitive AI Singapore Tech Challenge and Grand Challenge grants, best paper awards, Healthcare AI project awards, and has been recognised with a National Award (COVID-19) Commendation Medal.

Long Bio 1:

Dr. Rick Goh is the Director of Computing & Intelligence Department at A*STAR’s Institute of High Performance Computing (IHPC), an Adj. Assoc. Professor at Duke-NUS Medical School, Adj. Senior Principal Investigator at Singapore Eye Research Institute (SERI), Co-Director of both A*STAR-EVYD Joint Lab and SERI-IHPC Joint Lab. He chaired the organising committee of HPC AI Innovation Challenge 2023-2024, organised by National Supercomputing Centre (NSCC), AI Singapore (AISG), and Infocomm Media Development Authority (IMDA).

Leading a team of 80 scientists and engineers, Dr. Goh focuses on world-leading scientific research, advancing technology commercialisation, and fostering industry collaborations. His dept specialises in Artificial Intelligence & Advanced Computing, including high performance computing using GPUs, FPGAs, quantum technologies, and decentralised computing like blockchain, secure multi-party computation and privacy-preserving federated learning. He has published 150+ peer-reviewed papers in prestigious healthcare journals including Nature Aging, Nature Genetics, The Lancet Digital Health, and top-tier AI journals and conferences such as Nature Machine Intelligence, Nature Comms, IEEE TPAMI, TNNLS, TPDS, Cybernetics, TMI, AAAI, CACM, CVPR, IJCAI, and MICCAI.

Under his leadership, his dept has won multiple highly competitive AI Singapore Tech Challenge and Grand Challenge grants, best paper awards, Global Challenge for Safe and Secure LLMs 2024, Singapore Blockchain Innovation Challenge 2024, RePSS Challenge 2024, and Singapore Healthcare Management Awards. His dept has secured over S$45M in industry cash and in-kind contributions, trained 150 researchers now working in academia or industry, spun off a startup that raised S$26M in investments and created 30 jobs, deployed a telehealth solution that saved 6,000 hospital bed days resulting in S$6M in cost savings, and was recognised with the Singapore National Award (COVID-19) Commendation Medal.

Long Bio 2:

Dr. Rick Goh is the Director of Computing & Intelligence (CI) Department at the A*STAR’s Institute of High Performance Computing (IHPC). He is also an Adjunct Associate Professor at Duke-NUS Medical School, Adjunct Senior Principal Investigator at Singapore Eye Research Institute (SERI), Co-Director of A*STAR-EVYD Joint Lab, and Co-Director of SERI-IHPC Joint Lab.

Dr. Goh leads a team of more than 80 scientists and engineers in performing world-leading scientific research, developing technology to commercialisation, and engaging and collaborating with industry. His department's core capability areas are Artificial Intelligence (AI) and Advanced Computing. For AI, his team focuses on physics-based, efficient, multimodal, autonomous, safe and robust AI. And for Advanced Computing, the focus is in high performance computing using GPU, FPGA and Quantum, and decentralised computing such as blockchain, secure multi-party computation and privacy-preserving federated learning.

His team has coupled these areas to collectively solve many real-world challenges in domains such as Digital Healthcare/MedTech, FinTech, Advanced Manufacturing and Engineering, Smart Nation & Digital Economy, and Food & AgriTech. Two of his recently launched research to industry translational healthtech programmes are (1) as team Principal Investigator of AIMx: AI for Medicine Transformation, and (2) Co-Investigator of the Digital and Precision Community Screening Platform for Ageing Diseases: Vision, Metabolism and Heart.

Dr. Goh has contributed to various committees both internally and the rest of ecosystem, such as Chair of the HPC AI Innovation Challenge 2023-2024, the A*STAR's ITSS Steering Committee, A*STAR Conflict of Interest Policy Task Force, Coordinating Committee for Smart Nation, Singapore Data Science Consortium and IMDA's SDE Technology Roadmap for AI, Data, Blockchain. He received his PhD and Bachelor degrees in Electrical and Computing Engineering from the National University of Singapore. He also received certificates in Technopreneurship, and Commercial Law and Technology Transfer. He is the author or co-author of more than 140 peer-reviewed papers in prestigious journals and conferences such as Nature Aging, Nature Genetics, The Lancet Digital Health, and also top-tier AI journals and conferences such as Nature Machine Intelligence, IEEE TPAMI, TNNLS, Cybernetics, Transactions on Medical Imaging, Medical Image Analysis, AAAI, CACM, CVPR, IJCAI, and MICCAI. He had also organised several international scientific conferences as general co-chair, and has several patents granted. He received Singapore's National Award (COVID-19): The Commendation Medal, for he and his team's contribution to Singapore’s fight against the COVID-19 pandemic. Also, with his leadership, and the excellent researchers under his care & mentorship, his department had won many awards such as two project awards at Singapore Healthcare Management 2022, 1st Prize (Operations Category) at the Singapore Healthcare Management Congress 2021, SingHealth Quality Service Award SHQSA 21 Best Team (Special Mention) Award, and the NSCC Outstanding HPC Innovation Award 2017, among many others.

We are hiring people in FinTech, blockchain, web3, artificial intelligence (AI), machine / deep learning, multi-party computation, quantum computing, high performance computing (HPC), decentralised computing, federated learning, MedTech.

Please send me your CV today!

Qualifications:

Commercial Law and Technology Transfer, 2013
Ph.D., Electrical and Computer Engineering, National University of Singapore, 2006
B.Eng., Electrical and Computer Engineering, National University of Singapore, 2001
Technopreneurship, National University of Singapore, 2001

Grant/Industry Projects:

CyberSG Research & Development Programme Office (CRPO) Grand Challenge Award. Cyber Sentinel: A Unified Framework for Safeguarding Foundation Models. 2024-2027
AI Singapore OTTC+. AIDoc: Telehealth AI Powered by Triaging AI Grounded by Medical Knowledge. 2023-2025
End-to-End Privacy Preserving Platform for Facilitating Multi-Institutional Collaboration in Digital Health. 2023-2026
AI Singapore Robust AI Grand Challenge. 2023-2025
Development of a Layer 1 Blockchain. 2023
FinTech Industry Project on Benchmarking Digital Assets. 2023.
AI Singapore Tech Challenge. Pharmacy AI. 2023-2025
FinTech Industry Project on Foreign Direct Investment. 2022-2023
AI Singapore Tech Challenge. RAPIER - Radiology Pathology Information Exchange Resource. 2021-2023
AIMx: Artificial Intelligence in Medicine Transformation. 2021-2024
Digital and Precision Community Screening Platform for Ageing Diseases: Vision, Metabolism and Heart. 2021-2024
MARIO : Multimodal AI-Driven Decision Making for Ophthalmology. 2021-2024
Data Science Platform for Clinical Operations. 2021-2023
AI-based Molecular Info-Tech Innovation Platform (ChemoPower). 2021-2023
Intelligent Eye Triaging System with Multimodal Inputs. 2021-2023
Safe Artificial Intelligence: Automated Adversarial Machine Learning for Fake Media Detection. 2020-2021
AI for Lifts Maintenance. 2020-2021
Doctor Covid Smart Chatbot (SingHealth and IHIS). 2020-present. Media release (ST), SingHealth.
AI-based Aquaculture Biomass Estimation in Murky Water Conditions. 2020
SIGNAL: Singapore Immunogram for Immuno-oncology. 2019-2023
AI for Prohibited Items Detection. 2019-2020
AI Drone Inspection System for Building Façade. 2019-2021
Digital Platform Experimentation Project Using Quantum-Inspired Computing & Deep Learning Technology (with Fujitsu, SMU). 2019-2022
Next Generation Hyper-Personalisation Line (with ARTC, P&G). 2019-2023
Cognitive Advisor for Aircraft Defects. 2018-2020
National Shared IT Infrastructure for Precision Medicine. 2018-2024
National Precision Medicine Programme (with Patrick Tan, Tai E-Shyong). 2018-2021
Enhancing Operation Efficiency for Tanker Shipping Operations in Singapore. 2018-2021
Cardiovascular Risk Study Using Multimodal AI Approach (with SERI). 2018-2019
Smart Manufacturing Joint Lab (with Rolls Royce, SAESL). 2017-2024
Model Factory @ ARTC. 2017-2020
Neuromorphic Computing Programme. Role: Principal Investigator of WP6. 2017-2021
Data Science Platform for National Science Experiment (with MOE, SUTD, NRF). 2015-2018
GE Healthcare: Multiple projects. 2015-present.
A*STAR-Fujitsu-SMU: Centre of Excellence (CoE) on Urban Computing and Engineering, 2014-2019. Topics related to Smart Nation include Dynamic Mobility Management, Maritime and Port Optimisation. http://www.a-star.edu.sg/Media/News/Press-Releases/ID/3657/Fujitsu-partners-with-Singapore-to-set-up-Centre-of-Excellence-for-sustainable-urbanisation.aspx
A*STAR SERC: Master facilitative control tower for risk management of complex supply chains. Partners: TLI-AP, SIMTech. Role: Co-Principal Investigator. 2012-2015.
Rolls Royce Singapore Pte Ltd. Role: Steering committee member of joint lab. 2012-2016.
Public Sector Fund (PSF): Software optimization of high performance computing code for heterogeneous multicore platforms. $896,000. Partners: NUS, NTU, ACRC. Role: Initiator & Collaborator. 2010-2014.
A*STAR Joint Council Office (JCO): Development of bioinformatics software for low-cost, high-throughput DNA-microarray gene and genome synthesis. $498,050. Partner: IBN. Role: Co-Principal Investigator. 2011-2012.
IHPC-NTU: A Joint Research (Virtual) Lab on High Performance Computing with NTU School of Computer Engineering. Role: Co-Principal Investigator. 2008-2011.
Verigy (Singapore) Pte Ltd: Parallelization of Verigy Proprietary Algorithm. $75,000. Role: Principal Investigator. 2009-2010.
A*STAR Singapore-Poland: Safety and Reliability of Complex of Industrial Systems and Processes. $659,340. Partners: GMA, NUS. Role: Co-Principal Investigator. 2008-2011.

Patents Filed:

"Automatically extracting measurements from an image of a display of a measurement device", SG Patent Application No. 10202009732S (filed on 30 Sep 2020)
"Method and system for classification and visualization of 3D images", International Patent Application No. PCT/SG2020/050057 (filed on 13 Aug 2020)
"Method And System For Predicting A Port-Stay Duration Of A Vessel At A Port", US Patent Application No. 16/968,394 (filed on 28 Mar 2019)
"A computer-implemented method for training an image classifier using weakly-annotated training data" (2019), SG Patent Application No. 10201901083Y (filed on 08 Feb 2019)
“An Adaptive And Self-Learning Prediction Model For Cement Vessel Port-Stay Prediction” (2018), SG Patent Application No.: 10201802595Y (filed on 28 Mar 2018)
“A method and system for sentiment classification and emotion classification” (2015), Patent Cooperation Treaty (PCT) Application Number PCT/SG2015/050469
“SentiMo - A method and system for fine-grained classification of social media sentiment and emotion patterns” (2014), Singapore Patent Application No. 10201407766R (Singapore provisional patent filed on 24 Nov 2014)

Individual / Department Awards:

Ministry of Trade and Industry (MTI) Firefly Awards for Innovative Project (Silver) for Dr Buddy: Personalised Home-Based Patient Care Through Innovative Virtual Ward Telemedicine Platform. 17 Jan 2025.
2nd Prize at Global Challenge for Safe and Secure LLMs 2024 on AI Safety, organised by AI Singapore, CyberSG R&D Programme Office, Cyber Security Agency of Singapore (CSA), Defence Science and Technology Agency (DSTA).
Champion of Singapore Blockchain Innovation Challenge 2024 (Enthusiast Track) for FedPro: Blockchain-based Federated Learning Platform
First Prize Winner – RePSS Challenge 2024: Heart rate measurement using unlabeled facial videos
First Prize Winner – RePSS Challenge 2024: Facial video-based blood pressure measurement
Best Scientific Poster Award, AI Health Summit 2023.
Project Award at SingHealth Duke-NUS Quality & Innovation Day 2023. Enabling remote Hospital at Home care in a Virtual Ward in Singapore.
National Award (COVID-19): The Commendation Medal. The National Awards (COVID-19) recognise individuals and teams who have made outstanding contributions to Singapore’s fight against the COVID-19 pandemic.
Best Paper Award at Ophthalmic Medical Image Analysis 2022.
Best Paper Runner-up at Resource-Efficient Medical Image Analysis 2022.
Project Award at Singapore Healthcare Management 2022. New Model of Care – Virtual Ward for Continuity and Remote Patient Care.
Project Award at Singapore Healthcare Management 2022. Improve Patient Experience and Engage Patient Seamlessly via WhatsApp Communication Channel
1st Prize (Operations Category) at the Singapore Healthcare Management Congress 2021. "Doctor COVID: Enhance Operations and Care with Smart Multi-Lingual Chatbot for COVID-19 patients at Community Care Facilities", showcased the strong tripartite partnership between SingHealth, IHIS and A*STAR.
SingHealth Quality Service Award SHQSA 21 Best Team (Special Mention) Award, 2021.
Best Paper Award (first out of 230 submissions) at 13th EAI International Conference on Mobile Multimedia Communications (MobiMedia) 2020. "Deep N-ary Error Correct Output Codes”. Developed a method for efficient ensemble learning for Image and Document Classification. 2020.
Finalist for UITP (International Association of Public Transport) Awards 2019: "Quantifying Transit System Resilience Using a Complex Network Approach".
NSCC Outstanding HPC Innovation Award 2017: ModStore.
Best Paper Award in ACM SIGSIM Conference on Principles of Advanced Discrete Simulation: “Efficient Parallel Simulation over Social Contact Network with Skewed Degree Distribution”, 2017.
Honorable Mention Award at IEEE International Conference on Industrial Engineering and Engineering Management 2017: "Spatial-Temporal Traffic Speed Bands Data Analysis and Prediction"
1st Prize – Champion of the inaugural National Supercomputing Centre (NSCC) Hackathon 2016.
Best Paper Award at BeyondLabeler - Human is More Than a Labeler: "Simple and Efficient Learning Using Privileged Information", 2016.
1st Prize – Champion of Personal Data Protection Challenge 2016.
Country Prize for Singapore in the 2016 Big Ideas Competition for Sustainable Cities and Urban Communities, a collaborative initiative between the United Nations Development Programme Asia and the Pacific, United Nations Volunteers, the Ministry of Science, ICT and Future Planning of the Republic of Korea, the National Information Society Agency of the Republic of Korea, the Korea Association for ICT Promotion, the Korea Big Data Alliance, and Pulse Lab Jakarta. Our winning entry, "A customizable decision support tool for disaster preparedness and management", was selected from 271 proposals across ASEAN member nations and South Korea.
SG Mark Award 2016 – for the National Science Experiment (NSE), in collaboration with SUTD.
Innovation Award by SMRT, 2016.
Outstanding Paper Award at IEEE International Conference on Industrial Engineering and Engineering Management 2015: "A Model to Evaluate Risk Propagation Considering Effect of Dynamic Risk Information Sharing and Multi-Sourcing in Supply Chain Networks".
1st Prize – Champion of Rakuten-Viki Global TV Recommender Challenge 2015.
1st Prize – Champion of inaugural Singtel Accelerator Challenge 2014.
1st Prize – Champion of Singtel-Samsung Mobile App Challenge 2014.
Highest Market Potential Award at Media Exploit Digital Media Frontier Challenge 2014. Our winning entry is WeGym.
Best Oral Presentation Award” at the 9th Singapore Public Health and Occupational Medicine Conference 2014: "Leveraging Social Media For Disease Outbreak Surveillance: The Case Of The 2013 Avian Influenza A(H7n9) Outbreak In China".
Best Workshop Paper. Simulating Congestion Dynamics of Train Rapid Transit using Smart Card Data. International Conference on Computational Science (ICCS), Jun 2014.
2nd Prize – 15th Annual PhysioNet/CinC Challenge 2014 on Robust Detection of Heart Beats in Multimodal Data.
3rd place at Prudential Healthcare Challenge, 2014
2nd Prize – Inaugural Apps4SG Competition, organized by IDA, Ministry of Finance, Singapore Land Authority, Data.gov.sg, OneMap. Our app is Route My Day, which is part of the Sustainable City Life Programme. 08 Jan 2014.
2nd Prize – IDA-DEXTRA Data Innovation Challenge 2013 (Phase 1.5): DSM Predictive Sales Forecasting Challenge, 2013.
2nd Prize – IDA-DEXTRA Data Innovation Challenge 2013 (Phase 1): DSM Predictive Sales Forecasting Challenge, 2013.
3rd out of 189 teams – ACM Recommender Systems (RecSys) Challenge 2013: Yelp Personalized Business Recommendations.
1st Prize – IEEE International Scalable Computing Challenge (SCALE 2013).
Best Prototype Award at IEEE International Workshop on Scalable Computing for Big Data Analytics, 2012.
Merit Award – Tan Je Jun, student supervised by Rick Goh, won this SSEF 2012 award for his work on "Simulating the Schrödinger Equation using FDTD on GPU". This short but fruitful stint at IHPC had produced an international conference paper that he presented.
1st prize – Wong Yi Wen, student supervised by Rick Goh, won the first prize among all computer science students at NTU-SCE for academic year 2008/2009 for her industrial attachment at IHPC. This short but fruitful stint had produced an international conference paper that she presented.

Published Journals

Meng Wang et. al. Reliable Federated Disentangling Network for Non-IID Domain Feature. IEEE Transactions on Big Data., 2024.
Ekanut Sotthiwat et. Al. Generative Image Reconstruction From Gradients. IEEE Transactions on Neural Networks and Learning Systems, 2024
Yan Wang et. Al. MedNAS: Multi-Scale Training-Free Neural Architecture Search for Medical Image Analysis. IEEE Transactions on Evolutionary Computation, 2024
ZL Teo et. al. Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture. Cell Reports Medicine, 2024
Meng Wang et. al. Uncertainty-inspired open set learning for retinal anomaly identification. Nature Communications, 2023.
Elaine Kwang Hsia Tham et. al. Associations between sleep trajectories up to 54 months and cognitive school readiness in 4 year old preschool children. Frontiers in Psychology, 2023.
Shirong Cai et. al. Trajectories of reported sleep duration associate with early childhood cognitive development. Sleep, 2023.
Lily Wei Yun Yang et. al. Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study. Frontiers in public health, 2023.
Seow Jia Xuan et. al. Use of artificial intelligence (AI) in the identification and quantification of hepatic steatosis in patients with non-alcoholic fatty liver disease (NAFLD). Pathology, 2023.
Jamaica Pei Ying Tan et. al. mHealth App to Facilitate Remote Care for Patients With COVID-19: Rapid Development of the DrCovid+ App. JMIR Formative Research, 2023.
Alexandros Karargyris et. al. MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation. Nature Machine Intelligence, 2023.
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Wei Zhang, Weng-Fai Wong. Optimizing for In-Memory Deep Learning With Emerging Memory Technology. IEEE Transactions on Neural Networks and Learning Systems, 2023
Huaipeng Zhang, Nhut-Minh Ho, Yigit Polat Dogukan, Peng Chen, Mohamed Wahib, Truong Thao Nguyen, Jintao Meng, Rick Siow Mong Goh, Satoshi Matsuoka, Tao Luo, Weng-Fai Wong. Simeuro: A Hybrid CPU-GPU Parallel Simulator for Neuromorphic Computing Chips. IEEE Transactions on Parallel and Distributed Systems, 2023.
Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong. DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs. IEEE Transactions on Computers, 2023.
Tao Luo et. al. Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing. Communications of the ACM, 2023.
Tien-En Tan, Yi Pin Ng, Claire Calhoun, Xinxing Xu, Liu Yong, Rick SM Goh, Gavin Tan, Jennifer K Sun, Daniel SW Ting. Deep learning algorithms for detection of diabetic macular edema requiring treatment from color fundus photographs. Investigative Ophthalmology & Visual Science, 2023.
Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong. Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity. Neurocomputing, 2023.
Chih Chuan Shih et. al. A five-safes approach to a secure and scalable genomics data repository. Iscience, 2023.
Renuga Kanagavelu, Kinshuk Dua, Pratik Garai, Neha Thomas, Simon Elias, Susan Elias, Qingsong Wei, Liu Yong, Rick Siow Mong Goh. FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views. Electronics, 2023.
Yangqin Feng, Zizhou Wang, Xinxing Xu, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Xiaofeng Lei, Yingnan Cui, Jordan Sim Zheng Ting, Yonghan Ting, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Cher Heng Tan. Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. Medical Image Analysis, 2023.
Tian Huang, Yongxin Zhu, Rick Siow Mong Goh, Tao Luo. When quantum annealing meets multitasking: Potentials, challenges and opportunities. Array, 2023.
Eleanor Wong et. al. Decoding Asian Genomic Diversity - Singapore's National Precision Medicine Strategy. Nature Genetics, 2022.
Yih-Chung Tham et. al. Detecting visually significant cataract using retinal photograph-based deep learning. Nature Aging, 2022.
Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Goh. Rct: Resource constrained training for edge ai. IEEE Transactions on Neural Networks and Learning Systems, 2022.
Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Joey Tianyi Zhou, Tao Luo. Efficient spiking neural networks with radix encoding. IEEE Transactions on Neural Networks and Learning Systems, 2022.
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, Joey Tianyi Zhou. EDCompress: Energy-Aware Model Compression for Dataflows. IEEE Transactions on Neural Networks and Learning Systems, 2022.
Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng Fai Wong. Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. Neurocomputing, 2022.
Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Liangli Zhen. Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. Medical Image Analysis, 2022.
Daniel Gerlinghoff, Wang Zhehui, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo. E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs. IEEE Transactions on Parallel and Distributed Systems, accepted, 2021/2022.
Jasper Tromp, Paul J Seekings, Chung-Lieh Hung, Mathias Bøtcher Iversen, Matthew James Frost, Wouter Ouwerkerk, Zhubo Jiang, Frank Eisenhaber, Rick Siow Mong Goh, Heng Zhao, Weimin Huang, Lieng-Hsi Ling, David Sim, Patrick Cozzone, A. Mark Richards, Lee Hwee Kuan, Scott D. Solomon, Carolyn S.P. Lam, Justin A. Ezekowitz. Automated Interpretation of Systolic and Diastolic Function on the Echocardiogram: A Multicohort Study. The Lancet Digital Health, accepted, 2021/2022.
Zhehui Wang, Tao Luo, Miqing Li, Joey Tianyi Zhou, Rick Siow Mong Goh, Liangli Zhen. Evolutionary Multi-Objective Model Compression for Deep Neural Networks. IEEE Computational Intelligence Magazine, 2021.
Tien-En Tan, Ayesha Anees, Cheng Chen, Shaohua Li, Xinxing Xu, Zengxiang Li, Zhe Xiao, Yechao Yang, Xiaofeng Lei, Marcus Ang, Audrey Chia, Shu Yen Lee, Edmund Yick Mun Wong, Ian Yew San Yeo, Yee Ling Wong, Quan V Hoang, Ya Xing Wang, Mukharram M Bikbov, Vinay Nangia, Jost B Jonas, Yen-Po Chen, Wei-Chi Wu, Kyoko Ohno-Matsui, Tyler Hyungtaek Rim, Yih-Chung Tham, Rick Siow Mong Goh, Haotian Lin, Hanruo Liu, Ningli Wang, Weihong Yu, Donald Tiang Hwee Tan, Leopold Schmetterer, Ching-Yu Cheng, Youxin Chen, Chee Wai Wong, Gemmy Chui Ming Cheung, Seang-Mei Saw, Tien Yin Wong, Yong Liu, Daniel Shu Wei Ting. Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study. The Lancet Digital Health, 2021.
Yih-Chung Tham et al. Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study. The Lancet Digital Health, 2021.
Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Shaista Hussain, Feng Yang, Yechao Yang, Rick Siow Mong Goh, Mervyn Cheah. Federated Learning for Advanced Manufacturing Based on Industrial IoT Data Analytics. Implementing Industry 4.0, 2021.
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh. Natural language video localization: A revisit in span-based question answering framework. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, and Joey Tianyi Zhou. Deep Multimodal Transfer Learning for Cross-modal Retrieval. IEEE Transactions on Neural Networks and Learning Systems, 2020.
Zhe Xiao, Xiuju Fu, Liye Zhang, Wanbing Zhang, Ryan Wen Liu, Zhao Liu, Rick Siow Mong Goh. Big Data Driven Vessel Trajectory and Navigating State Prediction With Adaptive Learning, Motion Modeling and Particle Filtering Techniques. IEEE Transactions on Intelligent Transportation Systems, 2020.
Piao Chen, Xiuju Fu, Stefan Ma, Hai‐Yan Xu, Wanbing Zhang, Gaoxi Xiao, Rick Siow Mong Goh, George Xu, Lee Ching Ng. Early dengue outbreak detection modeling based on dengue incidences in Singapore during 2012 to 2017. Statistics in Medicine, 2020.
Yongqing Zhu, Juniarto Samsudin, Renuga Kanagavelu, Weiwen Zhang, Long Wang, Theint Theint Aye, Rick Siow Mong Goh. Fast Recovery MapReduce (FAR-MR) to accelerate failure recovery in big data applications. The Journal of Supercomputing, 2020.
Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance. Zhe Xiao, Zengxiang Li, Yechao Yang, Piao Chen, Ryan Wen Liu, Wei Jing, Yauheni Pyrloh, Ekanut Sotthiwat, Rick Siow Mong Goh. IEEE Transactions on Computational Social Systems, 2020.
Quanqing Xu, Zhaozheng He, Zengxiang Li, Mingzbhong Xiao, Rick Siow Mong Goh, Yongjun Li. An effective blockchain-based, decentralized application for smart building system management. Real-Time Data Analytics for Large Scale Sensor Data, 2020.
Degang Wu, et. al. Large-scale whole-genome sequencing of three diverse Asian populations in Singapore. Cell, 2019.
Yih Chung Tham, Yong Liu, Daniel Ting, Gabriel Ci'en Tjio, Ayesha Anees, Gavin Siew Wei Tan, Charumathi Sabanayagam, Rick Siow Mong Goh, Tien Y Wong, Ching-Yu Cheng. Estimation of Haemoglobin A1c from Retinal photographs via Deep Learning. Investigative Ophthalmology & Visual Science, 2019.
Zhe Xiao, Xiuju Fu, Liye Zhang, Rick Siow Mong Goh. Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey. IEEE Transactions on Intelligent Transportation Systems, 2019.
Zhe Xiao, Liye Zhang, Xiuju Fu, Wanbing Zhang, Joey Tianyi Zhou, Rick Siow Mong Goh. Concurrent Processing Cluster Design to Empower Simultaneous Prediction for Hundreds of Vessels' Trajectories in Near Real-Time. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019.
Matthew Kay Fei Lee, Yingnan Cui, Thannirmalai Somu Muthukaruppan, Tao Luo, Jun Zhou, Wai Teng Tang, Weng-Fai Wong and Rick Siow Mong Goh. A System-level Simulator for RRAM-based Neuromorphic Computing Chips. ACM Transactions on Architecture and Code Optimization (TACO), 2019.
Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong; Xi Peng, Zhiguo Cao, Rick Siow Mong Goh. Learning with Annotation of Various Degrees. IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2019.
Zhiming Hu, Baochun Li, Zheng Qin and Rick Siow Mong Goh. Low Latency Big Data Processing without Prior Information. IEEE Transactions on Cloud Computing, 2019.
Zhe Xiao, Xiuju Fu, Liye Zhang, Wanbing Zhang, Manu Agarwal, Rick Siow Mong Goh. MarineMAS: A multi-agent framework to aid design, modelling, and evaluation of autonomous shipping systems. Journal of International Maritime Safety, Environmental Affairs, and Shipping, 2019.
Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh. AnomalyNet: An anomaly detection network for video surveillance. IEEE Transactions on Information Forensics and Security, 2019.
Joey Tianyi Zhou, Heng Zhao, Xi Peng, Meng Fang, Zheng Qin and Rick Siow Mong Goh. Transfer Hashing: From Shallow To Deep. IEEE Transactions on Neural Network and Learning Systems (TNNLS), 2018.
Tao Luo, Xuan Wang, Chuping Qu, Matthew Kay Fei Lee, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh. An FPGA-based Hardware Emulator for Neuromorphic Chip with RRAM. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018.
Xinfeng Xie, Dayou Du, Qian Li, Eric Liang, Wai Teng Tang, Zhongliang Ong, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh. Enabling High Performance Convolutional Neural Network-based Applications on Mobile SoCs. ACM Transactions on Embedded Computing Systems (TECS), 2018.
Zhe Xiao, Jing-Jing Yang, Ming Huang, Loganathan Ponnambalam, Xiuju Fu, Rick Siow Mong Goh. QLDS: A Novel Design Scheme for Trajectory Privacy Protection with Utility Guarantee in Participatory Sensing. IEEE Transactions on Mobile Computing, 2018.
Zhe Xiao, Xiuju Fu, Rick Siow Mong Goh. Data Privacy-preserving Automation Architecture for Industrial Data Exchange in Smart Cities. IEEE Transactions on Industrial Informatics, 2018.
Zengxiang Li, Shen Ren, Nan Hu, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Liwen Hou, Bharadwaj Veeravalli. Equality of Public Transit Connectivity: The Influence of Mass Rapid Transit Services on Individual Buildings for Singapore. Transportmetrica B: Transport Dynamics, 2018.
Jesus Felix Bayta Valenzuela, Xiuju Fu, Gaoxi Xiao, Rick Siow Mong Goh. A Network-Based Impact Measure for Propagated Losses in a Supply Chain Network Consisting of Resilient Components. Complexity, 2018.
Yun Liang, Wai Teng Tang, Ruizhe Zhao, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh. Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2017/2018.
Haobin Li, Chenhao Zhou, Byung Kwon Lee, Loo Hay Lee, Ek Peng Chew, Rick Siow Mong Goh. Capacity Planning for Mega Container Terminals with Multi-Objective and Multi-Fidelity Simulation Optimization. IISE Transactions, 2017.
Hai-Yan Xu, Xiuju Fu, Chin Leong Lim, Stefan Ma, Tian Kuay Lim, Paul Anantharajah Tambyah, Mohd Salahuddin Habibullah, Gary Kee Khoon Lee, Lee Ching Ng, Kee Tai Goh, Rick Siow Mong Goh, Lionel Kim Hock Lee. Weather Impact on Heat-Related Illness in a Tropical City State, Singapore. Atmospheric and Climate Sciences, 2017.
Xinfeng Xie, Dayou Du, Qian Li, Yun Liang, Wai Teng Tang, Zhong Liang Ong, Mian Lu, Huynh Phung Huynh, Rick Siow Mong Goh. Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-based Applications on Mobile SOCs. ACM Transactions on Embedded Computing Systems (TECS), 2017.
Zengxiang Li, Wentong Cai, Stephen J Turner, Zheng Qin, Rick Siow Mong Goh. Transparent Three-phase Byzantine Fault Tolerance for Parallel and Distributed Simulations. Simulation Modelling Practice and Theory, 2016.
Xiao Feng Yin, Xiuju Fu, Loganathan Ponnambalam, Rick Siow Mong Goh. A k-means clustering for supply chain risk management with embedded network connectivity. International Journal of Automation and Logistics, 2016.
Mian Lu, Yun Liang, Huynh Phung Huynh, Zhongliang Ong, Bingsheng He, Lei Zhang, Rick Siow Mong Goh, Richard Huynh. MrPhi: An Optimized MapReduce Framework on Intel Xeon Phi Coprocessors. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2015.
Wai Teng Tang, Wen Jun Tan, Rick Siow Mong Goh, Stephen John Turner, Weng Fai Wong. A Family of Bit-Representation-Optimized Formats for Fast Sparse Matrix-Vector Multiplication on the GPU. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2015.
Wen Jun Tan, Wai Teng Tang, Rick Siow Mong Goh, Stephen John Turner, Weng Fai Wong. A Code Generation Framework for Targeting Optimized Library Calls for Multiple Platforms. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2015.
Huynh Phung Huynh, Yun Liang, Kyle Rupnow, Rick Siow Mong Goh, and Deming Chen. Efficient GPU Spatial-Temporal Multitasking. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2015.
Huynh Phung Huynh, Andrei Hagiescu, Ong Zhong Liang, Weng-Fai Wong and Rick Siow Mong Goh. Mapping Streaming Applications onto GPU Systems. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2015.
Zengxiang LI, Wentong Cai, Stephen John Turner, Xiaorong Li, TA Nguyen Binh Duong, Rick Siow Mong Goh. An Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-based Simulations. ACM Transactions on Modeling and Computer Simulation (TOMACS), 2015.
Emma Xuxiao Zhang, Yinping Yang, Richard Di Shang, Joseph John Pyne Simons, Book Kiat Quek, Xiao Feng Yin, Wanhan See, Olivia Seen Huey Oh, Khine Sein Tun Nandar, Vivienne Ruo Yun Ling, Pei Pei Chan, Zhaoxia Wang, Rick Siow Mong Goh, Lyn James, Jeannie Su Hui Tey. Leveraging social networking sites for disease surveillance and public sensing: the case of the 2013 avian influenza A (H7N9) outbreak in China. Western Pacific Surveillance and Response, 6(2), 2015.
Jimmy Boon Som Ong, Zhaoxia Wang, Rick Siow Mong Goh, Xiao Feng Yin, Xin Xin, Xiuju Fu. Understanding Natural Disasters as Risks in Supply Chain Management through Web Data Analysis. International Journal of Computer and Communication Engineering 4(2), 2015
Kiyotaka Ide, Akira Namatame, Loganathan Ponnambalam, Fu Xiuju, Rick Siow Mong Goh. A new centrality measure for probabilistic diffusion in network. The Advances in Computer Science : an International Journal (ACSIJ).
Jesus Felix Valenzuela, Christopher Monterola, Erika Fille Legara, Xiuju Fu, Rick Siow Mong Goh. On centripetal flows of entities in scale-free networks with nodes of finite capability. Complexity (2014).
Kiyotaka Ide, Akira Namatame, Loganathan Ponnambalam, Fu Xiuju, Rick Siow Mong Goh. A study on relationship between modularity and diffusion dynamics in networks from spectral analysis perspective. International Journal of Advanced Computer Science and Application.
Jesus Felix Valenzuela, Erika Fille Legara, Xiuju Fu, Rick Siow Mong Goh, Robert de Souza, and Christopher Monterola. A network perspective on the calamity-induced inaccessibility of communities and the robustness of centralized, landbound relief efforts. International Journal of Modern Physics C 25, 1450047 (2014). Press Release.
Xueyan Tang, Wentong Cai, Rick Siow Mong Goh. Editorial: Special Issue: Recent Advances in Parallel and Distributed Systems, ICPADS 2012 Selected Papers. Future Generation Computer Systems Vol. 30 (2014).
Eng Huat Khoo, Iftikhar Ahmed, Rick Siow Mong Goh, Kim Huat Lee, Terence Hung, Er Ping Li. Efficient analysis of mode profiles in elliptical microcavity using dynamic-thermal electron-quantum medium FDTD method. Optics Express Vol. 21, 5910-5923 (2013).
Iftikhar Ahmed, Rick Siow Mong Goh, Eng Huat Khoo, Kim Huat Lee, Siaw Kian Zhong, Er Ping Li, Terence Hung. Implementation of the Lorentz-Drude model incorporated FDTD method on multiple GPUs for plasmonics applications. International Journal of Computational Methods Vol. 11, 1350063 (2013).
Kim Huat Lee, Iftikhar Ahmed, Rick Siow Mong Goh, Eng Huat Khoo, Er Ping Li, Terence Hung. Implementation of the FDTD method based on Lorentz-Drude dispersive model on GPU for plasmonics applications. Progress In Electromagnetics Research (PIER) 116, 441-456 (2011).
Rick Siow Mong Goh, Ian Thng. 2005. Twol-amalgamated priority queues. ACM Journal of Experimental Algorithmics 9, 1.6, 1-45.
W.T. Tang, Rick Siow Mong Goh, Ian Thng. 2005. Ladder queue: An O(1) priority queue structure for large-scale discrete event simulations, ACM Transactions on Modeling and Computer Simulation (TOMACS) 15, 3, 175-204.
Rick Siow Mong Goh, Waiteng Tang, Ian Thng, Marie Therese Quieta. 2004. The demarcate construction: A new form of tree-based priority queues. Informatica: An International Journal of Computing and Informatics 28, 3, 277-287.
Rick Siow Mong Goh and Ian Thng. 2004. An improved dynamic Mlist for the pending event set problem. International Journal of Simulation 5, 3-4, 26-36.
Rick Siow Mong Goh and Ian Thng. 2003. Mlist: An efficient pending event set structure for discrete event simulation. International Journal of Simulation 4, 5-6, 66-77.

Conference Papers / Proceedings

Y. Feng, X. Xu, H. Fu, Y. Wang, Z. Wang, L. Zhen, Rick Siow Mong Goh, Y. Liu. Category-Aware Test-Time Training Domain Adaptation. IEEE Conference on AI, 2024.
R. Kanagavelu, C.G. Anil, Y. Wang, H. Fu, Q. Wei, Y. Liu, Rick Siow Mong Goh. Fed-SHARC: Resilient Decentralized Federated Learning based on Reward driven Clustering. IEEE Conference on AI, 2024.
M. Dai, Y. Wu, J. Zhou, Z. Wu, M. Man, L. Le Dinh, J. Chattoraj, F. Yang, D.M. Ha, Y. Liu, Rick Siow Mong Goh. TTCR: Accurate TCR-Epitope Binding Affinity Prediction Using Transformers. IEEE Conference on AI, 2024.
Y. Feng, X. Xu, Z. Wang, Y. Wang, H. Fu, S. Li, L. Zhen, T.E. Tan, M.M. Bikbov, et al. Cost-Sensitive Distribution Alignment for Improving Automated Medical Diagnosis Using Retinal Fundus Photography. IEEE Conference on AI, 2024.
Z.K. Liaw, A. Das, S. Hussain, F. Yang, Y. Liu, Rick Siow Mong Goh. SegMAE-Net: A Hybrid Method Using Masked Autoencoders for Consistent 3D Medical Image Segmentation. IEEE Conference on AI, 2024.
J. Zhou, Z. Wu, M. Man, Y. Wu, M. Dai, Y. Liu, Rick Siow Mong Goh. Llama-TCR: Generate De Novo TCR with Large Language Model. IEEE Conference on AI, 2024.
A. Das, K.Y. Cheng, Y. Liu, Rick Siow Mong Goh, F. Yang. Machine Learning-Based Radiomic Features for Glioblastoma Overall Survival Prediction. IEEE Conference on AI, 2024.
B. Gao, Q. Wei, Y. Liu, Rick Siow Mong Goh. Unveiling the Potential of ChatGPT in Detecting Machine Unauditable Bugs in Smart Contracts: A Preliminary Evaluation and Categorization. IEEE Conference on AI, 2024.
D. Peng, Y. Wang, H. Fu, Q. Wei, Y. Liu, Rick Siow Mong Goh. Learning Task-Specific Initialization for Effective Federated Continual Fine-Tuning of Foundation Model Adapters. IEEE Conference on AI, 2024.
B. Ghosh, Y. Wang, H. Fu, Q. Wei, Y. Liu, Rick Siow Mong Goh. Split Learning of Multi-Modal Medical Image Classification. IEEE Conference on AI, 2024.
Yuan Wang et. Al. An aggregation-free federated learning for tackling data heterogeneity. CVPR, 2024
Daniel Gerlinghoff et. Al. Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic. Proceedings of ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024.
Ming, Neo Wei, Zhehui Wang, Cheng Liu, Rick Siow Mong Goh, and Tao Luo. MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions. International Conference on Learning Representations (ICLR), 2023.
Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Goh, Hongyuan Zhu. CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo. A resource-efficient spiking neural network accelerator supporting emerging neural encoding. Design, Automation & Test in Europe Conference & Exhibition (DATE). 2022.
Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh. Medical Image Segmentation using Squeeze-and-Expansion Transformers. 30th International Joint Conference on Artificial Intelligence (IJCAI) 2021.
Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Ting, Rick Siow Mong Goh. Few-Shot Domain Adaptation with Polymorphic Transformers. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021.
Yanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel S. W. Ting, and Yong Liu. Partially-Supervised Learning for Vessel Segmentation in Ocular Images. 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021.
Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang. Two-phase multi-party computation enabled privacy-preserving federated learning. 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), 2020.
Hao Zhang, Joey Tianyi Zhou, Tianying Wang, Ivor W. Tsang, Rick Siow Mong Goh. "Deep N-ary Error Correct Output Codes”. 13th EAI International Conference on Mobile Multimedia Communications (MobiMedia) 2020.
Zhehui Wang, Huaipeng Zhang, Tao Luo, Weng-Fai Wong, Anh Tuan Do, Paramasivam Vishnu, Wei Zhang, and Rick Siow Mong Goh. NCPower: Power Modelling for NVM-based Neuromorphic Chip. International Conference on Neuromorphic Systems 2020.
Shaohua Li, Ayesha Anees, Yu Zhong, Zaifeng Yang, Yong Liu, Rick Siow Mong Goh, En-Xiao Liu. Crack Profile Reconstruction from Eddy Current Signals with an Encoder-Decoder Convolutional Neural Network. IEEE Asia-Pacific Microwave Conference (APMC), 2019.
Hai-Yan Xu, Vasundhara Jayaraman, Xiuju Fu, Nasri Bin Othman, Wanbin Zhang, Xiao Feng Yin, Deqing Zhai, Rick Siow Mong Goh. Efficient Compression and Preprocessing for Facilitating Large Scale Spatiotemporal Data Mining-A Case Study based on Automatic Identification System Data. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2019.
Deqing Zhai, Xiuju Fu, Hai-Yan Xu, Xiao Feng Yin, Jayaraman Vasundhara, Wanbing Zhang, Rick Siow Mong Goh. Optimization and Simulation on Tanker Vessels Scheduling for Efficient Terminal Operations. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2019.
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok. Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition. 57th Annual Meeting of the Association for Computational Linguistics, 2019.
Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh. Multi-Instance Multi-Scale CNN for Medical Image Classification. MICCAI 2019.
Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel SW Ting, Yong Liu, Rick Siow Mong Goh. Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation. International Workshop on Ophthalmic Medical Image Analysis 2019.
Zengxiang Li, Chutima Kitcharoenpaisan, Phond Phunchongharn, Yechao Yang, Rick Siow Mong Goh, Yusen Li. Efficient Multi-party Computation Algorithm Design for Real-World Applications. IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS), 2019.
Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh. SC2Net: Sparse LSTMs for Sparse Coding. 32nd AAAI Conference on Artificial Intelligence (AAAI) 2018.
Weiwen Zhang, Yong Liu, Long Wang, Zengxiang Li and Rick Siow Mong Goh. Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-based Systems. IEEE International Conference on Parallel and Distributed Systems 2018.
Concurrent Hybrid Breadth-First-Search on Distributed PowerGraph for Skewed Graphs. Zengxiang Li, Shen Ren, Sifei Lu, Jiachun Guo, Wentong Cai, Zheng Qin and Rick Siow Mong Goh. IEEE International Conference on Parallel and Distributed Systems 2018.
Alvin Heng, Ling Feng, Siew Ann Cheong and Rick Siow Mong Goh. Optimal Fee Structure for Efficient Lightning Networks. 2nd International Workshop on Blockchain Technologies and Systems 2018.
Zhe Xiao, Zengxiang Li, Yong Liu, Ling Feng, Weiwen Zhang, Thanarit Lertwuthikarn and Rick Siow Mong Goh. EMRShare: A Cross-organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain. 2nd International Workshop on Blockchain Technologies and Systems 2018.
Zengxiang Li, Zhe Xiao, Quanqing Xu, Ekanut Sotthiwat, Rick Siow Mong Goh and Xueping Liang. Blockchain and IoT Data Analytics for Fine-grained Transportation Insurance. 2nd International Workshop on Blockchain Technologies and Systems 2018.
Quanqing Xu, Zhiwen Song, Rick Siow Mong Goh and Yongjun Li. Building an Ethereum and IPFS-based Decentralized Social Network System. 2nd International Workshop on Blockchain Technologies and Systems 2018.
Zhiming Hu, Baochun Li, Zheng Qin and Rick Siow Mong Goh. Job Scheduling without Prior Information in Big Data Processing Systems. 37th IEEE International Conference on Distributed Computing Systems (ICDCS) 2017.
Sifei Lu, Zengxiang Li, Zheng Qin, Xulei Yang, Rick Siow Mong Goh. A Hybrid Regression Technique for House Prices Prediction. IEEE International Conference on Industrial Engineering and Engineering Management 2017.
Zengxiang Li, Bowen Zhang, Shen Ren, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Mohan Gurusamy. Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs. 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2017.
Weiwen Zhang, Yong Liu, Long Wang, Jiuyu Zhou, Jiawei Du and Rick Siow Mong Goh. ModStore: An Instructional HPC-based Platform for National Science Experiment Big Data Challenge. International Conference on Cloud Computing Research and Innovation 2017.
Zhe Xiao, Xiuju Fu, Liye Zhang, Loganathan Ponnambalam, Rick Siow Mong Goh. Data-Driven Multi-Agent System for Maritime Traffic Safety Management. IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017.
Xiao Feng Yin, Xiuju Fu, Loganathan Ponnambalam, Haiyan Xu and Rick Siow Mong Goh. Market Fluctuation Risk Evaluation Model for Planning in Manufacturing. 14th International Conference on Control, Automation, Robotics and Vision (ICARCV) 2016.
Zengxiang Li, Thai Nguyen Hung, Sifei Lu and Rick Siow Mong Goh. Performance and Monetary Cost of Large-scale Distributed Graph Processing on Amazon Cloud. International Conference on Cloud Computing Research and Innovation 2016.
Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Qin Zheng, Rick Siow Mong Goh. Transfer Hashing with Privileged Information. 25th International Joint Conference on Artificial Intelligence (IJCAI) 2016.
Xuntao Cheng, Bingsheng He, Mian Lu, Chiew Tong Lau, Huynh Phung Huynh and Rick Siow Mong Goh. Efficient Query Processing on Many-core Architectures: A Case Study with Intel Xeon Phi Processor. ACM SIGMOD 2016 (demo).
Loganathan Ponnambalam, Fu Xiuju, Xiao Zhe, Rick Siow Mong Goh, Disha Sarawgi, Kunal Shubham. GIS based modeling of marine incident hotspots: A cloud-based framework for navigational alerts. International Conference on Cloud System and Big Data Engineering 2016.
Loganathan Ponnambalam, Fu Xiuju, Xiao Zhe, Rick Siow Mong Goh, Manish Kumar. Content analysis of marine incident reports: The causal factors and associative relationship. International Conference on Computing Technologies and Intelligent Data Engineering 2016.
Loganathan Ponnambalam, Fu Xiuju, Rick Siow Mong Goh, Disha Sarawgi. A multi-agent model for adaptive vaccination during infectious disease outbreaks. International Conference on Computing Technologies and Intelligent Data Engineering 2016.
Hai-Yan Xu, Xiuju Fu, Loganathan Ponnambalam, Akira Namatame, Xiao Feng Yin, Rick Siow Mong Goh. A Model to Evaluate Risk Propagation Considering Effect of Dynamic Risk Information Sharing and Multi-Sourcing in Supply Chain Networks. IEEE International Conference on Industrial Engineering and Engineering Management 2015. Outstanding Paper Award.
Zhenzhou Wu, Bao Hong Tan, Rubing Duan, Yong Liu and Rick Siow Mong Goh. Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns. International ACM Recommender Systems Challenge 2015.
Mian Lu, Xinfeng Xie, Dayou Du, Waiteng Tang, Huynh Phung Huynh, Yun Liang and Rick Siow Mong Goh. Efficient Deep Learning on Embedded Systems. Nvidia GTC Asia South 2015.
Zengxiang Li, Long Wang, Yu Zhang, Tram Truong-Huu, En Sheng Lim, Purnima Murali Mohan, Shibin Chen, Shuqin Ren, Mohan Gurusamy, Zheng Qin, Rick Siow Mong Goh. Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications. 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT) 2015.
Kiyotaka Ide, Loganathan Ponnambalam, Akira Namatame, Xiuju Fu, Rick Siow Mong Goh. Risk Analysis and Quantification of Vulnerability in Maritime Transportation Network Using AIS Data. International Conference Computational Logistics 2015.
Hai-Yan Xu, Xiuju Fu, Loganathan Ponnambalam, Akira Namatame, Xiao Feng Yin and Rick Siow Mong Goh. Article Title: A Model to Evaluate Risk Propagation Considering Effect of Dynamic Risk Information Sharing and Multi-Sourcing in Supply Chain Networks. IEEE International Conference on Industrial Engineering and Engineering Management 2015.
Rubing Duan, Rick Siow Mong Goh, Feng Yang, Richard Di Shang, Yong Liu, Zengxiang Li, Long Wang, Sifei Lu, Xulei Yang, Zheng Qin. HiPerData: An autonomous large-scale model building and management platform for big data analytics. IEEE 10th Conference on Industrial Electronics and Applications (ICIEA), 2015.
Wai Teng Tang, Ruizhe Zhao, Mian Lu, Yun Liang, Huynh Phung Huynh, Xibai Li, Rick Siow Mong Goh. Optimizing and Auto-Tuning Scale-Free Sparse Matrix-Vector Multiplication on Intel Xeon Phi. Code Generation and Optimization (CGO) 2015.
Rubing Duan, Rick Siow Mong Goh, Feng Yang, Yong Kiam Tan, Jesus F.B. Valenzuela. Towards Building and Evaluating a Personalized Location-Based Recommender System. IEEE International Conference on Big Data (IEEE BigData) 2014.
Zengxiang Li, Rubing Duan and Long Wang, Sifei Lu, Zheng Qin, Rick Siow Mong Goh. Hierarchical Parallelization and Runtime Scheduling for Pregel-like Graph Processing Systems. IEEE Cloudcom 2014.
Kiyotaka Ide, Akira Namatame, Loganathan Ponnambalam, Fu Xiuju, Rick Siow Mong Goh. Spectral Approach for Information Diffusion. Academy of Science and Engineering (ASE), 2014.
Rubing Duan, Rick Siow Mong Goh, Lily Rachmawati, Long Wang, Henry N. Palit, Xiaorong Li, Chi Keong Goh, Partha Dutta, Leigh Lapworth, and David Knott. An Efficient Co-processing Framework for Large-scale Scientific Applications. IEEE Cloudcom 2014.
Xiuju Fu, Xiaorong Li, Yongqing Zhu, Lipo Wang and Rick Siow Mong Goh. An Intelligent Analysis and Prediction Model for On-demand Cloud Computing Systems. International Joint Conference on Neural Networks (IJCNN) 2014.
Xiao Feng Yin, Xiuju Fu, Loganathan Ponnambalam and Rick Siow Mong Goh. A Network Connectivity Embedded Clustering Approach for Supply Chain Risk Assessment. 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems 2014.
Loganathan Ponnambalam, Akira Namatame, Xiuju Fu, Rick Siow Mong Goh, Eugene Kitamura and Robert De Souza. A Study on Emergence, Vulnerability and Resilience of Complex Supply Chain Networks using MultiAgent Based Approach. WEIN 2014.
Loganathan Ponnambalam, Disha Sarawgi, Xiuju Fu, Rick Siow Mong Goh. Multi-Agent Models to Study the Robustness and Resilience of Complex Supply Chain Networks. International Conference on Intelligent Autonomous Agents, Networks and Systems, 2014.
Jimmy Boon Som Ong, Zhaoxia Wang, Rick Siow Mong Goh, Xiao Feng Yin, Xin Xin, Xiuju Fu, Sifei Lu, Loganathan Ponnambalam. Understanding Natural Disasters as Risks in Supply Chain Management through Web Data Analysis. International Conference on Networking and Information Technology 2014.
Kiyotaka Ide, Akira Namatame, Loganathan Ponnambalam, Fu Xiuju, Rick Siow Mong Goh. Spectral Approach for Diffusion Phenomena Among Networked Agents. International Conference on Intelligent Autonomous Agents, Networks and Systems 2014.
Wai Teng Tang, Wen Jun Tan, Rajarshi Ray, Yi Wen Wong, Weiguang Chen, Shyh-hao Kuo, Rick Siow Mong Goh, Stephen John Turner, Weng-Fai Wong. Accelerating Sparse Matrix-Vector Multiplication on GPUs using Bit-Representation-Optimized Schemes. Supercomputing Conference (SC) 2013.
Mian Lu, Lei Zhang, Huynh Phung Huynh, Zhong Liang Ong, Yun Liang, Bingsheng He, Rick Siow Mong Goh, and Richard Huynh. Optimizing the MapReduce Framework on Intel Xeon Phi Coprocessor. IEEE International Conference on Big Data (IEEE BigData) 2013.
Chun Yew Cheong, Huynh Phung Huynh, David Lo and Rick Siow Mong Goh. Hierarchical Parallel Algorithm for Modularity-Based Community Detection using GPUs. International European Conference on Parallel and Distributed Computing (Euro-Par) 2013.
Yun Liang, Huynh Phung Huynh, Zheng Cui, Kyle Rupnow, Rick Siow Mong Goh, Deming Chen. Efficient Concurrent Kernel Execution on GPUs. 4th Workshop on SoCs, Heterogeneous Architectures and Workloads (SHAW-4), in conjunction with HPCA-2013.
Wai Teng Tang, Wen Jun Tan, Ratna Krishnamoorthy, Yi Wen Wong, Shyh-hao Kuo, Rick Siow Mong Goh, Stephen John Turner and Weng-Fai Wong. Optimizing and Auto-Tuning Iterative Stencil Loops for GPUs with the In-Plane Method. 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2013.
Bingsheng He, Huynh Phung Huynh, Rick Siow Mong Goh. GPGPU for Real-Time Data Analytics (Tutorial). 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP) 2013.
Rick Siow Mong Goh, Zhaoxia Wang, Xiao Feng Yin, Xiuju Fu, Loganathan Ponnambalam, Sifei Lu, Xiaorong Li. RiskVis: Supply Chain Visualization with Risk Management and Real-time Monitoring. 9th Annual IEEE International Conference on Automation Science and Engineering (IEEE CASE) 2013.
Loganathan Ponnambalam, A. Tan, X. Fu, X.F. Yin, Z. Wang, Rick Siow Mong Goh. An Agent-Based Network Analytic Perspective on the Evolution of Complex Adaptive Supply Chain Networks. International Conference on Instrumentation, Control and Automation 2013.
Xiuju Fu, Rick Siow Mong Goh, Joo Chuan Tong, Loganathan Ponnambalam, Xiao Feng Yin, Zhaoxia Wang, Haiyan Xu, Sifei Lu. Social Media for Supply Chain Risk Management. IEEE International Conference on Industrial Engineering and Engineering Management 2013.
Loganathan Ponnambalam, L. Wenbin, Xiuju Fu, Xiao Feng Yin, Zhaoxia Wang, Rick Siow Mong Goh. Decision trees to model the impact of disruption and recovery in supply chain networks. IEEE International Conference on Industrial Engineering and Engineering Management 2013.
Zhaoxia Wang, Gary Lee, Hoong Maeng Chan, Reuben Li, Xiuju Fu, Rick Siow Mong Goh, Pauline Aw, Martin Hibberd, Hoong Chor Chin. Disclosing climate change patterns using an adaptive Markov chain pattern detection method. International Conference on Social Intelligence and Technology, 2013.
Xiuju Fu, Rick Siow Mong Goh, Loganathan Ponnambalam, Zhaoxia Wang, Xiao Feng Yin, Joo Chuan Tong, Sifei Lu. Healthcare Supply Chain Risk Management in Singapore. Singapore Healthcare Supply Chain Management Congress 2013.
Huynh Phung Huynh, Andrei Hagiescu, Weng Fai Wong, Rick Siow Mong Goh. Scalable Framework for Mapping Streaming Applications onto Multi-GPU Systems. 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP) 2012.
Yi Wen Wong, Tomasz Dubrownik, Wai Teng Tang, Wen Jun Tan, Rubing Duan, Rick Siow Mong Goh, Shyh-hao Kuo, Stephen John Turner, and Weng-Fai Wong. Tulipse: A Visualization Framework for User-Guided Parallelization. International European Conference on Parallel and Distributed Computing (Euro-Par) 2012.
Tianyou Zhang, Michael Lees, Chee Keong Kwoh, Xiuju Fu, Gary Kee Khoon Lee, Rick Siow Mong Goh. A contact-network-based simulation model for evaluating interventions under "what-if" scenarios in epidemic. Winter Simulation Conference (WSC) 2012.
Ta Nguyen Binh Duong, Xiaorong Li, Rick Siow Mong Goh, Xueyan Tang, Wentong Cai. QoS-aware revenue-cost optimization for latency-sensitive services in IaaS clouds. 16th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT) 2012.
Chandrasehar Rajaseharan, Wen Jun Tan, Wai Teng Tang, Stephen John Turner, Shyh-Hao Kuo, Rick Siow Mong Goh, Weng-Fai Wong. Poster: Automatic Refactoring of Legacy Fortran Code to the Array Slicing Notation. 18th IEEE International Conference on Parallel and Distributed Systems 2012.
Zhaoxia Wang, Chee Seng Chong, Rick Siow Mong Goh, Wanqing Zhou, Dan Peng, Hoong Chor Chin. Visualization for Anomaly Detection and Data Management by Leveraging Network, Sensor and GIS Techniques. 18th IEEE International Conference on Parallel and Distributed Systems 2012: Workshop on Distributed Communication Network System 2012.
Bingsheng He, Huynh Phung Huynh, Rick Siow Mong Goh. Tutorial: GPGPU for Real-Time Data Analytics. 18th IEEE International Conference on Parallel and Distributed Systems 2012.
Je Jun Tan, Iftikhar Ahmed, Kim Huat Lee, Rick Siow Mong Goh, Er-Ping Li, and Terence Hung. Simulation of Schrödinger Equation using FDTD on GPU. 28th International Review of Progress in Applied Computational Electromagnetics 2012.
Duong Ta, Xiaorong Li, and Rick Siow Mong Goh. A framework for dynamic resource provisioning and adaptation in IaaS clouds. IEEE International Conference on Cloud Computing Technology and Science (CloudCom) 2011.
Andrei Hagiescu, Huynh Phung Huynh, Weng Fai Wong, Rick Siow Mong Goh. Automated architecture-aware mapping of streaming applications onto GPUs. IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2011.
Chun Yew Cheong, Mo-Huang Li, Rick Siow Mong Goh. GenomeDesign: A bioinformatics program for genome and multiplex gene synthesis. International Conference on Bioinformatics and Biomedical Engineering 2011.
Huynh Phung Huynh, Shyh-hao Kuo, Rick Siow Mong Goh, Duc Vinh Le, Terence Hung. Migration of a Complete 3D Poisson Solver from Legacy Fortran to CUDA. NVIDIA GPU Technology Conference 2010.
Jiangming Jin, Stephen Turner, Bu-Sung Lee, Shyh-hao Kuo, Rick Siow Mong Goh, Terence Hung. Performance Modeling for Runtime Kernel Adaptation: A Case Study on Infectious Disease Simulation. Grid 2010: Workshop on Component-based High Performance Computing (CBHPC) 2010.
Chun Yew Cheong, Mohamed Salahuddin. Habibullah, Rick Siow Mong Goh, Xiuju Fu. Multi-objective optimization of large scale berth allocation and quay crane assignment problems. IEEE International Conference on Systems, Man, and Cybernetics 2010.
Xiuju Fu, Mohamed Salahuddin Habibullah, Min Xie, Rick Siow Mong Goh, Chun Yew Cheong, Kolowrocki Krzysztof. Discovering Knowledge from Maritime Ferry Operation Process. 4th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling 2010.
Thorsten Matthias Riechers, Shyh-hao Kuo, Rick Siow Mong Goh, Terence Hung. Component-based Design for Adaptive Large-Scale Infectious Disease Simulation. International Conference on Computational Science (ICCS) 2010.
Thorsten Matthias Riechers, Shyh-hao Kuo, Rick Siow Mong Goh, Harold Soh, Terence Hung, Abid M. Malik. A Case Study on Dynamic Kernel Adaptation in a Component-based Infectious Disease Simulator. In Proceedings of Supercomputing Conference (SC) 2009: Workshop on Component-Based High Performance Computing (CBHPC) 2009.
Yi Wen Wong, Rick Siow Mong Goh, Shyh-hao Kuo, Malcolm Yoke Hean Low. 2009. A Tabu Search for the Heterogeneous DAG Scheduling Problem. In Proceedings of IEEE International Conference on Parallel and Distributed Systems 2009.
Tianyou Zhang, Xiuju Fu, Rick Siow Mong Goh, Chee Keong Kwoh, and Gary Lee. 2009. A GA-SVM feature selection model based on high performance computing techniques. In Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2009.
Tuan Zea Tan, Rick Siow Mong Goh, Verdi March, and Simon See. 2009. Data Mining Analysis to Validate Performance Tuning Practices for HPL. In Proceedings of IEEE International Conference on Cluster Computing (Cluster) 2009.
Tuan Zea Tan, Rick Siow Mong Goh, Verdi March, and Simon See. 2009. A case study of speeding up performance tuning process using data mining approach. In Proceedings of International Conference on Scientific Computing (CSC) 2009.
Tuan Zea Tan, Verdi March, Rick Siow Mong Goh, and Simon See. 2009. Performance tuning of parallel application using computational intelligence analysis. In Proceedings of HPCAsia 2009.
Rick Siow Mong Goh and Ian Thng. 2004. Dsplay: An efficient dynamic priority queue structure for discrete event simulation. In Proceedings of Simulation Technology Training Conference.
Rick Siow Mong Goh, Waiteng Tang, Ian Thng, and Marie Therese Quieta. 2004. A New Form of Tree-based Priority Queues for Discrete Event Simulation. In Proceedings of High Performance Computing & Simulation in conjunction with the 18th European Simulation Multi-conference.
Rick Siow Mong Goh and Ian Thng. 2004. Dynamic Cost-Based Multi-Tier Linked List. In Proceedings of Applied Simulation and Modelling.
Rick Siow Mong Goh and Ian Thng. 2004. Multiq - A multi-tier multi-list based priority queue structure for stochastic discrete event simulation. In Proceedings of 15th International Conference on Modelling and Simulation.

Book Chapter(s)

Tianyou Zhang, Xiuju Fu, Rick Siow Mong Goh, Chee Keong Kwoh, and Gary Lee. An Integrated Approach to Speed Up GA-SVM Feature Selection Model, Computational Intelligence in Optimization – Applications and Implementations, Springer, 2010.

Industry Whitepapers:

Challenges in Managing the Unexpected (pdf)
Networked Supply Chains - Addressing 11 Challenges in Robustness and Resilience (pdf)
Master Facilitative Control Tower for Risk Management of Complex Supply Chains - An Overview (pdf)
Advanced in Supply Chain Risk Analysis (pdf)
Supply Chain Risk Mitigation (pdf)
Master Facilitative Control Tower and Visualization Framework (pdf)
Risk Management of Complex Supply Chains Part 3: Technologies for Supply Chain Risk Management (pdf)
Risk Management of Complex Supply Chains Part 2: Network Analysis for Supply Chain Risk Management (pdf)
Risk Management of Complex Supply Chains Part 1: Supply Chain Risk and Complex Systems (pdf)

Media Release

2020: Using AI to interpret eye images for major health risks. Feaured by The Straits Times on 04 Jul 2020. https://www.straitstimes.com/singapore/health/using-ai-to-interpret-eye-images-for-major-health-risks. This is based on a journal paper published in New England Journal of Medicine (NEJM) with impact factor of 70.67.
2020: AI-powered tool detects lung infection in chest X-rays quickly during Covid-19 screening. Featured by The Straits Times on 02 Sep 2020 https://www.straitstimes.com/singapore/ai-powered-tool-detects-lung-infection-in-chest-x-rays-quickly-during-covid-19-screening. This AI system has been deployed in TTSH and helps doctors by detecting patients with pneumonia and should be attended to.
2020: 'Chatbot doctor' for 3,000 patients in community care facilities. Featured by The Straits Times on 25 Jun 2020. https://www.straitstimes.com/tech/chatbot-doctor-for-3000-patients-in-community-care-facilities. This collaboration with SingHealth with support from IHiS is to improve care for Covid-19 patients, as well as to reduce risk of viral transmissions faced by the medical and operations teams.
2014: Mapping a tool to guide rescuers in disaster zones. Featured by The Straits Times on 28 Apr 2014. https://www.asiaone.com/singapore/mapping-tool-guide-rescuers-disaster-zones. Motivated by Typhoon Haiyan that struck the Philippines with destructive force, the tool developed gives rescuers a range of possible routes around damaged roads, sorting them by distance and travel time.

Professional Services & Talks:

AI Health Summit 2022. On the Frontiers of AI Technologies, Panel Moderator, 11 Nov 2022.
SWITCH 2022, Good Data for Good: Catalysing Sustainable Change Requires Actionable AI & Analytics, Panel Moderator, 28 Oct 2022.
SWITCH IMPACT+ 2022, AI, Big Data and FinTech: A Deep Dive Into Technology Sector Investments, Panelist, 27 Oct 2022.
AI & ACCM: Turbocharging Business Opportunities, 26 Jan 2021.
Made In Singapore: Building Singapore’s Digital Future, 11 Aug 2020.
University of Cincinnati, IHPC Computing Science Department, 03 Dec 2018.
Wuhan University of Technology, Efficient, Insightful and Intelligent Computing Techniques & Systems, 06 Nov 2018.
Organised A*STAR-BMBF Workshop on Blockchain, 15 Oct 2018.
Blockchain Research, Initiatives & Projects in Singapore. A*STAR-BMBF Workshop on Blockchain, 15 Oct 2018.
Session Lead for Precision Medicine – Multimodal Data Analysis, 25 Oct 2017.
AI: Driver for Business Innovation and Growth. SMRT Taxis, 28 Sep 2017.
AI: Driver for Business Innovation and Growth. One-north Festival Enterprise Talk, 18 Aug 2017.
Urban Computing Through Integrated Analysis, Modelling and Simulation. ISE-C4NGL Workshop on Next Generation Digital Supply Chains: The Challenges and Opportunities. 23 Nov 2016.
Harnessing HPC & AI for Healthcare. Centre for Big Data and Integrative Genomics (c-BIG) Symposium, 10 Nov 2016.
Modelling and Simulation of Urban Dynamics. Geospatial Technology Adoption Work Group (GTAWG). 29 Feb 2016.
General Co-Chair of IEEE International Conference on Cloud Computing Technology and Science (CloudCom) 2014.
Program committee member of International Conference on Computational Science (ICCS) 2013.
General Co-Chair of 18th IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2012.
Program committee member of Supercomputing Conference: Doctoral Showcase.
Steering committee member of Open Petascale Libraries.
Programme committee member of International Conference on Contemporary Computing 2011.
Program committee member of International Conference on Computational Science (ICCS) 2011.
Program committee member of workshop on “Using Emerging Parallel Architectures for Computational Science” at International Conference on Computational Science (ICCS) 2011.
Program committee member of International Heterogeneity in Computing Workshop 2011 at IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2011, USA.
Program committee member of International Conference on Computational Science (ICCS) 2010, Netherlands.
Program committee member of International Heterogeneity in Computing Workshop 2010 at IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2010, USA.
Program Vice Chair of International Conference on Dependable, Autonomic and Secure Computing 2009, China.
Program committee member of IEEE International Conference on Cluster Computing (Cluster) 2009, USA.
Program committee member of workshop on “Using Emerging Parallel Architectures for Computational Science” at International Conference on Computational Science (ICCS) 2009, USA.
Invited speaker on "Resource-Efficient Hybrid High Performance Computing Techniques" at HP Consortium for Advanced Scientific and Technical Computing (HP-CAST): User Group Meeting, Singapore, 2008.
Co-Trainer for Parallel Computing course, a pre-requisite to Hadoop for Users Training, organized by IDA and Yahoo, 2008.
Co-Organizer of Gelato Itanium Conference & Expo (ICE) Singapore, 2007.
Co-Trainer for Parallel and Distributed Computing course to researchers at Centre for Strategic Infocomm Technologies (CSIT), 2007.

Committees:

Member of Singapore Data Science Consortium
Member of Singapore Coordinating Committee for Smart Nation
Member of A*STAR Cloud Initiative Task Force
Member of IMDA's SDE Technology Roadmap for AI, Data, Blockchain
Member of ITSS Steering Committee meetings
Member of A*STAR Conflict of Interest Policy Review Taskforce
Chairman of A*STAR Tender Evaluation Committee of a large tender
Member of A*STAR AI Leads

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