Indriyati ATMOSUKARTO
Profile
Biography
Indriyati Atmosukarto is an Associate Professor and Deputy Cluster Director of the InfoComm Technology (ICT) Cluster at the Singapore Institute of Technology (SIT). She was previously the Deputy Programme Director for the Telematics (Intelligent Transportation System) programme. Indri's research interests are in computer vision ( image and video analytics), machine learning, and medical imaging. Indri actively contributes to applied research across various channels including the SIT x NVIDIA AI Centre , SIT Data Science and AI Lab, Centre for Immersification, and SIT Systems Section. In recognition of her dedication to teaching and curriculum development, Indri was awarded the SIT Teaching Excellence Award for two consecutive academic years, AY2022/23 and AY2023/24 and was placed on the TEA Honour Roll.
Prior to joining SIT, she was a Research Scientist at the Advanced Digital Sciences Center (ADSC), a joint research center between the University of Illinois at Urbana-Champaign (UIUC) and the Agency for Science, Technology and Research (A*STAR) in Singapore (now renamed to Illinois ARCS). At ADSC, she led the "Semantic Analysis of Video" project. Prior to joining ADSC, Indri was a Postdoctoral Senior Fellow in the Department of Pediatrics, School of Medicine at the University of Washington in Seattle, working at the Seattle Children's Research Institute. Her postdoctoral work was focused on developing ways to quantify 3D facial shape deformations in children with craniofacial disorders.
Indri earned her PhD in the Department of Computer Science and Engineering at the University of Washington, Seattle in June 2010 and was advised by Prof Linda Shapiro. Her dissertation work was on applying computer vision and machine learning techniques to analyze and quantify 3D shapes for similarity-based retrieval and classification for general computer vision and medical applications. She has obtained a Master of Science from the University of Washington in 2006 and a Master of Science from the National University of Singapore in 2002. Before that, she obtained her Bachelor in Computer Science from the National University of Singapore in 2000. She was also a research engineer at the National University of Singapore.
Indri is a Senior Member of IEEE and is passionate about empowering women in STEM. She has been serving as a committee member of the IEEE Women in Engineering (WiE) Singapore Section since 2022.
Short version TL;DR
Dr Indri Atmosukarto is an Associate Professor at the Singapore Institute of Technology (SIT), where she also serves as the Deputy Cluster Director of the InfoComm Technology (ICT) cluster. She is actively involved in several research initiatives at SIT, including SIT x NVIDIA AI Centre , SIT Data Science and AI Lab, Centre for Immersification, and SIT Systems Section. Prior to joining SIT in 2014, Dr Atmosukarto was a Research Scientist at the Illinois Advanced Research Center (iARCS) (previously known as ADSC), where she led the 'Semantic Analysis of Video' project. Dr Atmosukarto received her Ph.D. in Computer Science and Engineering from the University of Washington and was previously a Postdoctoral Senior Fellow working at the Seattle Children's Research Institute. Dr Atmosukarto is a Senior Member of IEEE and has served as principal/co-principal investigator for several research projects in SIT. Her research focuses on computer vision, machine learning, and deep learning with applications across domains such as transportation, education and healthcare.
SIT Appointments
- Deputy Cluster Director, Infocomm Technology– Present
- Associate Professor– Present
- Deputy Programme Director, SIT BEng (Hons) Telematics–
- Assistant Professor–
Education
- PhD (Computer Science)University of Washington , United States
- Master's of Science (Computer Science)University of Washington , United States
- Master's of Science (Computer Science)National University of Singapore , Singapore
- Bachelor of Science (1st Class Hons) Computer ScienceNational University of Singapore , Singapore
Achievements
- SIT Teaching Excellence Award AY2022/23 and AY2023/24–
- Best Oral Presentation. International Conference on Communications, Circuits, and Systems (ICCCAS)
- Best Presentation Award, IEEE International Conference on Engineering, Technology and Education (TALE)
- Best Oral Presentation, IEEE International Conference on Intelligent Transportation Engineering (ICITE)
- Project finalist of the 5th Asia Pacific Eldercare Innovation Awards - Heel Raise project
- Paper finalist for Evolution of Sports competition, MIT Sloan Sports Analytics Conference
- Best paper award, CVPR Workshop
- Best paper award, MICCAI workshop
- Google Award: Google Workshop for Women Engineers (Presenter)
- Graduate Assistantship, University of Washington–
- Graduate Research Scholarship, National University of Singapore
- Runner-up project exhibition, School of Computing, National University of Singapore
- Sembawang Corporation and Singapore Technologies Scholarship for undergraduate studies in Singapore
- Lim Boon Seng Book Prize, best student in Computer Science
- Dean's List in School Of Computing, National University of Singapore–
Professional Certification
- Certified Software Development Professional (CSDP)Institute of Electrical and Electronics Engineers (IEEE)
Professional Memberships
- Member, Association for Computing Machinery (ACM)
- Member, IEEE Women In Engineering
- Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
Corporate Experience
- Reviewer for CVPR, ECCV, ACCV, ICPR, ICIP
Research
Research Interests
For more details visit my website at https://sites.google.com/site/indriatmosukarto/research
- Computer Vision; Video Analytics; Image Processing
- Machine Learning; Deep Learning
- MedTech, Medical Imaging
Current Projects
- MedicaTwin: A Collaborative Digital Twin for Accessible Digitalization of HealthCare Environments– Present
co-PI, MOE's 2024 Translational R&D and Innovation Fund (TIF) Grant. Collaborators: Tan Tock Seng Hospital
- Automated gait analysis to self-monitor walking performance in Parkinson's disease– Present
co-PI, SIT Ignition Grant (STEM). Collaborators: SGH
- Holistic Moving Target Defence for Autonomous Driving Perception (Phase 1b)– Present
co-PI, AI.SG Grand Challenge in Robust AI. Collaborators: NTU
Past Projects
- AI Tutor–
Co-PI
- LEARN: Language automated Evaluation by generating Answers / Questions from caRtooNs–
co-PI, AI.SG Grand Challenge in Education Funding Scheme. Collaborators: NIE, ConveGenius
- Real-time Risk Assessment Assistance for Cooperative Mode (ReRac) using V2X for Vehicles and Pedestrian in Urban Conditions–
co-PI, LTA UMGC Grant. Partners: University of Glasgow Singapore, MooVita Pte. Ltd, SMRT Frontiers Pte. Ltd.
- Machine Learning-mediated immediacy for Synchronous Communication in Online Classrooms–
co-PI, MOE Tertiary Research Fund (TRF) Grant
- Machine Learning for classification of defects in Integrated Circuits–
co-PI, SIT Ignition Grant. Industry partner: Infineon
- Improving Operational Processes with Video Analytics–
co-PI, SIT Seed Grant. Industry partner: Hitachi
- Virtual lab-based evaluation of mobility environment to improve first/last mile connections–
co-PI, LTA Sustainable Singapore Blueprint (SSB) Grant
- Online Financial Tool for Holistic Evaluation of Innovation Project–
co-PI, SIT SALT Grant
- Video Analytics for Crowd Estimation in Train and Passenger Boarding–
Lead PI, SIT Ignition Grant. Industry partner: SBST-LTA
- Video and Sensor Based Hybrid Technology for Intelligent Parking Management System–
co-PI, SIT Ignition Grant. Industry partner: Kenetics Innovations
- Face Detection, Tracking and Masking for Privacy–
Lead PI, SIT Ignition Grant. Industry partner: ST Infocomm
- Heel Raise Measurement Device for Plantarflexion Physiotherapy (Software)–
Lead PI, SIT Ignition Grant. Industry partner: KWSH
- Inventor for provisional patent “Video Analysis Based on Sparse Registration and Multiple Domain Tracking”–
(US Provisional Patent Application: Serial No. 61/614,146, filed March 22, 2012)
- Wee Kheng Leow, Zhiyong Huang, Luping Zhou, and Indriyati Atmosukarto. Frontier Advancing Polygonization–
Inventor for patent publication No. US-2003-0063085-A1, 3 April 2003
Publication
Journal Papers
Full publication list available at Google Scholar
I. Atmosukarto, L. G. Shapiro. 3D Object Retrieval using Salient Views. In International Journal of Multimedia Information Retrieval, 2012.
I. Atmosukarto, L. G. Shapiro, J. R. Starr, C. L. Heike, B. Collett, M. L. Cunningham, M. L. Speltz. 3D Head Shape Quantification for Infants with and without Deformational Plagiocephaly. In The Cleft-Palate Craniofacial Journal July; 47(4): 368–377,2010.
I. Atmosukarto , K. Wilamowska, C. Heike, L. G. Shapiro. 3D Object Classification using Salient Point Patterns With Application to Craniofacial Research. In Pattern Recognition, 43(4), pp.1502-1517, 2010.
Conferences
M. Rajendran, CT Tan, I. Atmosukarto, AB Ng, A Grant, E Cameracci, S See. Exploring Domain Randomization's Effect on Synthetic Data for Activity Detection. In IEEE International Conference on Metaverse Computing, Networking and Applications (IEEE MetaCom), 2023; DOI:10.1109/MetaCom57706.2023.00037.
Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Simon See. Towards a HOI application for digital home assistants.In 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), pg. 942-945, 2022.
T. H. Lur, I. Atmosukarto. Video Analytics in Train Cabin using Deep Learning. In IEEE International Conference on Intelligent Transportation Engineering (ICITE), 2019
CG. Goh, J. Chua, WH Lim, I. Atmosukarto. Image Analytics for Train Crowd Estimation. In IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA) , 2018.
J. Varadarajan, I. Atmosukarto, B. Ghanem, S. Ahuja, N. Ahuja. Automatic Playbook Generation in Football through Video. In MIT Sloan Sports Analytics Conference, 2014.
I.Atmosukarto, B. Ghanem, S. Ahuja, K. Muthuswamy, N. Ahuja. Automatic Recognition of Offensive Team Formation in American Football Plays. In IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVSports), 2013.
Books
I. Atmosukarto, B. Ghanem, M. Saadalla, N. Ahuja, "Recognizing Team Formation in American Football. ", In Computer Vision in Sports, Springer 2015.
E. Mergan, I. Atmosukarto, J. Wu, S. Liang, and L. Shapiro, Craniofacial Image Analysis. In Comprehensive Health Monitoring and Personalized Feedback using Multimedia Data, Springer, 2015.
Teaching
Teaching Modules
Information and Communications Technology (Software Engineering), BEng (Hons)
- ICT2112 - Software Design
- INF2001 - Introduction to Software Engineering
Information and Communications Technology (Information Security), BEng (Hons)
- INF2001 - Introduction to Software Engineering
Digital Supply Chain, BSc (Hons)
- INF2001 - Introduction to Software Engineering
Applied Artificial Intelligence, BSc (Hons)
- INF2001 - Introduction to Software Engineering
Applied Computing (Fintech), BSc (Hons)
- INF2001 - Introduction to Software Engineering
- ICT2505C - Agile Development Capstone Project
Past
- UoG CS introduction to C Programming (Bridging Course)
- ICT1006 ICT In Organization
- ICT1009 Object Oriented Programming
- ICT2103 Information Management
- TUM CE1202 Information Technology 2
- UoG CS Professional Software Development (PSDH)
- UoG CS Team Project (TP3)
- TLM1008 Object Oriented Programming
- TLM3004 - Systems and Software Engineering (5326)
- CSC1001 - Introduction to Computing (15806)
- TLM2004 - Database and Information System (5271)
- ICT1001 - Introduction to ICT (3066)