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Associate Professor

Indriyati ATMOSUKARTO

Associate Professor
Deputy Cluster Director, Infocomm Technology
PhD (Computer Science), University of Washington, United States
Cluster:
Infocomm Technology
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Biography

Dr Indri Atmosukarto is an Associate Professor at the Singapore Institute of Technology. She is currently the Deputy Cluster Director of the InfoComm Technology (ICT) cluster. Indri is a member of the  SIT Data Science and AI Lab (DSAIL) and the SIT Systems Section (S3) . Prior to joining SIT, Indri was a Research Scientist at the Advanced Digital Sciences Center (ADSC) leading the 'Semantic Analysis of Video' project. Indri holds a PhD in Computer Science and Engineering from the University of Washington, and was a Postdoctoral Senior Fellow working at the Seattle Children's Research Institute.  Indri is a Senior Member of IEEE and has been the principle investigator of several research projects in SIT. Her research interest are in computer vision, machine learning/deep learning, and medical imaging. 

 

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 Science
    National University of Singapore , Singapore

Achievements

  • 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

  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Member, IEEE Women In Engineering
  • Member, Association for Computing Machinery (ACM)

Corporate Experience

  • Reviewer for CVPR, ECCV, ACCV, ICPR, ICIP

Research Interests

  • Computer Vision; Video Analytics; Image Processing
  • Machine Learning; Deep Learning
  • MedTech, Medical Imaging

Current Projects

  • Real-time Risk Assessment Assistance for Cooperative Mode (ReRac) using V2X for Vehicles and Pedestrian in Urban Conditions
    – Present

    co-PI, LTA UMGC Grant. Partners: University of Glasgow Singapore, MooVita Pte. Ltd, SMRT Frontiers Pte. Ltd.

  • Improving Operational Processes with Video Analytics
    – Present

    co-PI, SIT Seed Grant. Industry partner: Hitachi

  • Machine Learning for classification of defects in Integrated Circuits
    – Present

    co-PI, SIT Ignition Grant. Industry partner: Infineon

  • Machine Learning-mediated immediacy for Synchronous Communication in Online Classrooms
    – Present

    co-PI, MOE Tertiary Research Fund (TRF) Grant

  • Virtual lab-based evaluation of mobility environment to improve first/last mile connections
    – Present

    co-PI,  LTA Sustainable Singapore Blueprint (SSB) Grant

  • Online Financial Tool for Holistic Evaluation of Innovation Project
    – Present

    co-PI, SIT SALT Grant

Past Projects

  • 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

Journal Papers

  • 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

  • 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

  • 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.

  • I. Atmosukarto, B. Ghanem, M. Saadalla, N. Ahuja, "Recognizing Team Formation in American Football. ", In Computer Vision in Sports, Springer 2015.

Teaching Modules

Telematics (Intelligent Transportation Systems Engineering), MEngTech and BEng (Hons)

  • TLM3004 - Systems and Software Engineering
  • TLM2004 - Database and Information System

Information and Communications Technology (Software Engineering), BEng (Hons)

  • ICT2106 - Software Design
  • ICT1001 - Introduction to ICT

Information and Communications Technology (Information Security), BEng (Hons)

  • ICT1001 - Introduction to ICT

Computing Science, BSc (Hons)

  • CSC1001 - Introduction to Computing

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