Publications

Publications can also be viewed on Google scholar's page.

[J.9] Megani Rajendran; Chek Tien Tan; Indriyati Atmosukarto; Aik Beng Ng; Simon See. Review on Synergizing the Metaverse and AI-Driven Synthetic Data: Enhancing Virtual Realms and Activity Recognition in Computer Vision. In Visual Intelligence, 2, 27 (2024). https://doi.org/10.1007/s44267-024-00059-6 

[J.8]  Ryan Fraser Kirwan, Fauzi Abbas, Indriyati Atmosukarto Arthur Wee Yeong Loo, Jia Hui Lim and Sven Yeo. Scalable Agritech Growbox Architecture. In Frontiers in the Internet of Things, Section IoT Enabling Technologies, Vol. 2, 2023, https://doi.org/10.3389/friot.2023.1256163 .

[J.7]  Fang Liu, Wei Zhang, Indriyati Atmosukarto, Teck Wei Low.  TransLine: Transfer Learning for Accurate and Explainable Power Line Anomaly Detection with Insufficient Data. In CCF Transactions on Pervasive Computing and Interaction, 2023, doi:10.1007/s42486-023-00131-y. 

[J.6]   Jamil Jasin; He Tong Ng; Indriyati Atmosukarto; Prasad Iyer; Faiezin Osman; Peng Yu Kelly Wong; Ching Yee Pua; Wean Sin Cheow.  The Implementation of Chatbot-Mediated Immediacy for Synchronous Communication in an Online Chemistry Course. In Education and Information Technologies, pp. 1-26, 2023. https://doi.org/10.1007/s10639-023-11602-1

[J.5] Donny Cheng Lock Soh, Indriyati Atmosukarto, Arthur Wee Yeong Loo, Thirunneepan Selvakulasingam, Toshiki Ishii, Rishabh Ranjan, Shuyang Dou and Junichi Hirayama. Improving Operational Processes for COVID-19 Ready Smart Campus. In Journal of Advances in Information Technology (JAIT). Vol 13(6) pp. 597-603, 2022, doi: 10.12720/jait.13.6.597-603

[J.4] I. Atmosukarto, L. G. Shapiro.  3D Object Retrieval Using Salient Views. Accepted to International Journal of Multimedia Information Retrieval, 2012. [Editorial]

[J.3] Collett, Heike, Atmosukarto, Starr, Cuningham, Speltz.  Longitudinal, three-dimensional analysis of head shape in infants with and without deformational plagiocephaly or brachycephaly. The Journal of Pediatrics, Vol. 160, Issue 4, Pages 673-678, April 2012.

[J.2]   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 Cleft Palate Craniofac J. 2010 Jul;47(4):368-77., 2010. 

[J.1]    I. Atmosukarto , K. Wilamowska, C. Heike, L. G. Shapiro.  3D Object Classification using Salient Point Patterns With Application to Craniofacial Research. In Pattern Recognition,Volume 43, Issue 4, April 2010, Pages 1502.1517 . 

[B.4] D. Soh, I. Atmosukarto, R. Tong, I. McLoughlin, JH. Lim;  J. Kan, P. Tushar, B. Zhang,  NA Bte Abdul Latiff, YY Loo. Leveraging Generative AI for Primary School Mother Tongue Language Learning: A Scalable and Adaptive AI-Driven Approach. Accepted in Generative AI in Novel Educational Applications: Practices of Integrating Generative AI in the Primary and Secondary Classroom. 

[B.3]  I. Atmosukarto, B. Ghanem, M. Saadalla, N. Ahuja. Recognizing Team Formation in American Football. In Computer Vision in Sports, Springer 2015.

[B.2] 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.        

[B.1]  L. G. Shapiro,I. Atmosukarto, H. Cho, H. J. Lin, S. Ruiz-Correa, J. Yuen.  Similarity-Based Retrieval for Biomedical Applications.  In Case-Based Reasoning on Images and Signals,  P. Perner (ed.), Spring-Verlag, Berlin, 2008, pp. 356-387. 

[C.64]  Haoyu Song, Indriyati Atmosukarto. Home-Based Gait Abnormality Detection: Fast Gait Abnormality Detection Using SAIL-TUG Dataset and Machine Learning Techniques. Accepted in Proceedings of 2025 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI).

[C.63]  P.Tushar, P. Eshan, L. Aystria, Loo YY, Lim J, I. Atmosukarto, D. Soh. MerCulture: A Comprehensive Benchmark to Evaluate Vision-Language Models on Cultural Understanding in Singapore. To appear in First Workshop on Benchmarking and Expanding AI Multimodal Approaches, CVPRW 2025 (poster).

[C.62] Abdul Hady Bin Zaydie and Indriyati Atmosukarto. Predicting Pedestrian Intent: Evaluating Deep Learning with LSTM, CNN, and Transformers. To appear in proceedings of 2025 IEEE Conference on Artificial Inteligence.

[C.61] Yanghui Mo, Xin Lou, Mageshwaran Muthusamy, Wei Zhang, Indriyati Atmosukarto and Xunpei Sun. Adversarially Trained Dynamic Ensemble: A Moving Target Defense Strategy for Robust Semantic Segmentation in Autonomous Vehicles. To appear in proceedings of 2025 IEEE Conference on Artificial Inteligence. [BEST PAPER AWARD TRANSPORTATION & AEROSPACE TRACK)

[C.60] Yunxiang Zhou, Xin Lou, Ying He, Wei Zhang and Indriyati Atmosukarto.  NormFusion: Real-Time Test-Time Adaptation for LiDAR Segmentation under Corruption. To appear in proceedings of 2025 IEEE Conference on Artificial Inteligence.

[C.59] Leon Foo, Nirmal S. Nair, Liuziyi Liu, Jeannie S. Lee, Songjia Shen, Indriyati Atmosukarto, Alvin Chan, Jing Shi, Yong Joo Loh, Yih Yng Ng, Michael Chia, and Chek Tien Tan. 2025. Collaborative Scene Authoring with Near Real-Time 3D Reconstruction. In CHI Conference on Human Factors in Computing Systems (CHI ‘25), April 26-May 1, 2025, Yokohama, Japan. ACM, New York, NY, USA.

[C.58] Chek Tien Tan, Indriyati Atmosukarto, Budianto Tandianus, Songjia Shen, and Steven Wong. 2025. Exploring the Impact of Avatar Representations in AI Chatbot Tutors on Learning Experiences. In CHI Conference on Human Factors in Computing Systems (CHI ‘25), April 26-May 1, 2025, Yokohama, Japan. ACM, New York, NY, USA, 12 pages.

[C.57]  Lim Jing Hao, Mohamed Raasith Mohamed Sirajudeen, Justin Kan Yong Zheng, Tushar Pranav, Bowen Zhang, Loo Yin Yin, Indriyati Atmosukarto, Donny Soh, Ian McLoughlin. Integrating AI for Mother Tongue Language Proficiency: A Modular Approach. Presented as poster at 2025 AAAI Workshop.

[C.56] Megani Rajendran, Chek Tien Tan, Indriyati Atmosukarto, Aik Beng Ng, Joey Lim, Triston Chan Sheen, and Simon See. 2024. Designing a Usable Framework for Diverse Users in Synthetic Human Action Data Generation. In SIGGRAPH Asia 2024 Technical Communications (SA '24). Association for Computing Machinery, New York, NY, USA, Article 11, 1–4. https://doi.org/10.1145/3681758.3697986 

[C.55] K. Y. Lee, T. Pranav, D. Soh and I. Atmosukarto, "Enhancing Lower Primary Students Engagement Through Object Detection in Cartoon Images," TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON), Singapore, Singapore, 2024, pp. 27-30, doi: 10.1109/TENCON61640.2024.10903062.

[C.54] I. McLoughlin, J. S. A. Lee, I. Atmosukarto and D. Zhongqiang, "DNN-Based Speech Re-Reverb for VR Rooms," TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON), Singapore, Singapore, 2024, pp. 636-639, doi: 10.1109/TENCON61640.2024.10902696.

[C.53] J. Chen, I. Atmosukarto and M. F. Bin Abbas, "Image Question-Distractors Generation as a Conversational Model," TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON), Singapore, Singapore, 2024, pp. 39-42, doi: 10.1109/TENCON61640.2024.10902711.

[C.52] I. McLoughlin, J. S. Lee and I. Atmosukarto, "Single channel AI speech reverberation time modification for room dimension matching," 2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Bellevue, WA, USA, 2024, pp. 429-430, doi: 10.1109/ISMAR-Adjunct64951.2024.00125.

[C.51] I. Atmosukarto, H. T. Ng, M. F. Bin Osman, J. B. Jasin, P. Iyer and W. S. Cheow, "Enhancing Adaptive Online Chemistry Learning: A Case Study on the Impact of QA Tutor Support," 2024 IEEE Frontiers in Education Conference (FIE), Washington, DC, USA, 2024, pp. 1-9, doi: 10.1109/FIE61694.2024.10893079.

[C.50]   I. Atmosukarto, Wong HS, B S To. Mobile Application for Tele-Rehabilitation: Enhancing User Experience in Managing Chronic Pain. In 2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom), Chongqing, China, 2023, pp. 56-58, doi: 10.1109/Healthcom56612.2023.10472359. 

[C.49] Donny Soh, Indriyati Atmosukarto, Michelle Choo, Arthur Loo and Selvakulasingam Thirunneepan; Toshiki Ishii , Junichi Hirayama, Shuyang Dou and Zhou Mo. Enhancing Indoor Smoking Detection Through Deep Learning in AI-Enabled Surveillance Systems. In 6th International Conference on Applied Computational Intelligence in Information Systems (ACIIS 2023), doi:10.1109/ACIIS59385.2023.10367246

[C.48]  M. Rajendran, C. T. Tan, I. Atmosukarto, AB. Ng, Z. Zhou, A. Grant, S. See. SynthDa: Exploiting Existing Real-World Data for Usable and Accessible Synthetic Data Generation. In SIGGRAPH Asia 2023 Technical Communications (SA Technical Communications '23). Association for Computing Machinery, New York, NY, USA, Article 6, 1–4. https://doi.org/10.1145/3610543.3626168 

[C.47]  Andrew Keong Ng, Indriyati Atmosukarto, Julia Kwok Lee Teo, Ashraaf Bin Amran. Instilling Computational Thinking in Undergraduate Students Across Multiple Disciplines through an Adaptive Gamified e-Learning Platform. Accepted in IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), 2023.

[C.46] Alex Qiang Chen, Indriyati Atmosukarto, Serena Hui Lin Goh. Transforming Student Learning through Industry-Driven Software Development Projects. Accepted in IEEE Frontiers in Education (FIE) 2023, https://doi.org/10.1109/FIE58773.2023.10343262.

[C.45] 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.

[C.44] M. Rajendran, C. T. Tan, I. Atmosukarto, A. B. Ng and S. See. SynDa: A Novel Synthetic Data Generation Pipeline for Activity Recognition. In IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Singapore, Singapore, 2022, pp. 373-377, doi: 10.1109/ISMAR-Adjunct57072.2022.00081.

[C.43]  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. doi: 10.1109/ISMAR-Adjunct57072.2022.00211. 

[C.42] Rui Zhen Tan, Neelakantam Venkatarayalu, Indriyati Atmosukarto, A. B. Premkumar, Tict Eng Teh, Kyu Kyu Thinn and Ming Xue. Supervised Image Retrieval and Ranking Technique for Lock-in Thermography Images. In  IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA), 2022. 

[C.41]  Donny CL  Soh, I. Atmosukarto, Arthur Wee YL, T. Selvakulasingam, T. Ishii, R. Ranjan, S. Dou and J. Hirayama. Improving Operational Processes for COVID-19 Ready Smart Campus. Presented as Oral Presentation in International Conference on Communications, Circuits, and Systems (ICCCAS), 2022. - Awarded best presentation

[C.40] Donny Soh Cheng Lock, Indriyati Atmosukarto. The Impact of Tweets, Mandates, Hesitancy and Partisanship on Vaccination Rates. In Meiselwitz, G. (eds) Social Computing and Social Media: Design, User Experience and Impact. HCII 2022. Lecture Notes in Computer Science, vol 13315. Springer, Cham.

[C.39]  Jutasompakorn, Pearpilai; Atmosukarto, Indriyati; Kurbanhusen, Mustafa Shabbir; Lim, Jesslyn Qian Hui; Xue Lishan, Agnes (2022). An Online Finance-Based Self-Learning Tool: Comparative Study Between Business and Non-Business Students. Singapore Institute of Technology. Conference contribution. https://doi.org/10.25447/sit.19210764.v1 

[C.38] Soh, Cheng Lock, Donny; Atmosukarto, Indriyati (2022). Integrating Industry-based problems in Performance Testing and Optimization Course: an experience report. Singapore Institute of Technology. Conference contribution. https://doi.org/10.25447/sit.19210746.v1 

[C.37] Ng, He Tong; Cheow, Wean Sin; Atmosukarto, Indriyati; Iyer, Prasad; Bin Osman, Muhammad Faiezin (2022). Implementation of a Chatbot in an Online Chemistry Course: Usage Analytics. Singapore Institute of Technology. Conference contribution. https://doi.org/10.25447/sit.19210782.v1

[C.36] Atmosukarto, Indriyati; Ng, Siew Eng (2022). Applied Learning experiences to better prepare our graduates for the future of transportation. Singapore Institute of Technology. Poster. https://doi.org/10.25447/sit.19210740.v1 

[C.35] F. Liu, T. W. Low, W. Zhang and I. Atmosukarto, "TransLine: Transfer Learning for Accurate Power Line Anomaly Detection with Insufficient Data," ICC 2022 - IEEE International Conference on Communications, Seoul, Korea, Republic of, 2022, pp. 5543-5548, doi: 10.1109/ICC45855.2022.9838725.

[C.34] I. Atmosukarto, C. W. Sin, P. Iyer, N. H. Tong and K. W. Peng Yu, "Enhancing Adaptive Online Chemistry Course with AI-Chatbot," 2021 IEEE International Conference on Engineering, Technology & Education (TALE), Wuhan, Hubei Province, China, 2021, pp. 838-843, doi: 10.1109/TALE52509.2021.9678528. [BEST PRESENTATION AWARD]

[C.33] P. Jutasompakorn, I. Atmosukarto, M. S. Kurbanhusen and A. X. Lishan, "A Finance-Based Self-Learning Online Platform for Holistic Evaluation of Innovation Projects," 2021 IEEE International Conference on Engineering, Technology & Education (TALE), Wuhan, Hubei Province, China, 2021, pp. 01-07, doi: 10.1109/TALE52509.2021.9678729.

[C.32] Tan, Rui Zhen; Venkatarayalu, Neelakantam; Ding, Zhongqiang; Atmosukarto, Indriyati; Premkumar, Annamalai Benjamin; Thinn, Kyu Kyu; Teh, Tict   Eng; Xue, Ming. Localization of Hotspots from Lock-in Thermography Images for Failure Analysis," 2021 IEEE 23rd Electronics Packaging Technology Conference (EPTC), Singapore, Singapore, 2021, pp. 45-49, doi: 10.1109/EPTC53413.2021.9663910.

[C.31] Andrew Keong Ng, Indriyati Atmosukarto, Wean Sin Cheow, Karin Avnit, Mun Hin Yong. Development and Implementation of an Online Adaptive Gamification Platform for Learning Computational Thinking. In IEEE Frontiers in Education (FIE), 2021.

[C.30] T. H. Lur, I. Atmosukarto. Video Analytics in Train Cabin using Deep Learning. In IEEE International Conference on Intelligent Transportation Engineering (ICITE), 2019. [BEST ORAL PRESENTATION]

[C.29] 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.

[C.28] Z. Liu, M. Lim, BG Lim, A. Tan, I. Atmosukarto. Engage Industry Guest Speakers to Enhance Applied Learning: A Cross-Disciplinary Case Study. In Asian Conference on Education (ACE) , 2018.

[C.27] R. Tan,  I. Atmosukarto, Lim WH. Video Analytics for Indoor Crowd Estimation. In IEEE International Conference on Service Operations and Logistics (SOLI), 2018.

[C.26]  I. Atmosukarto, N. Ahuja, B. Ghanem. Action Recognition using Discriminative Structured Trajectory Groups. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.

[C.25] Yong Pei, Bingbing Ni, I. Atmosukarto. Mixture of Heterogeneous Attribute Analyzers for Human Action Detection. In European Conference in Computer Vision (ECCV) 2014 Workshop (ChaLearn Looking at People) - [2nd prize winner for ChaLearn Looking at People @ECCV 2014: Challenge and Workshop on Pose Recovery, Action and Gesture Recognition, Track 2: Action/Interaction Recognition]

[C.24]   J. Varadarajan, I. Atmosukarto, B. Ghanem, S. Ahuja, N. Ahuja. Automatic Playbook Generation in Football through Video. [Finalist (1 out of 7) for the Evolution of Sports competition at the 8th Annual MIT Sloan Sports Analytics Conference 2014]

[C.23] J. Varadarajan, I. Atmosukarto, S. Ahuja, B. Ghanem, N. Ahuja. A Topic Model Approach to Represent and Classify American Football Plays. In British Machine Vision Conference, 2013.

[C.22] 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. [BEST PAPER AWARD]

[C.21]  I. Atmosukarto, B. Ghanem, N. Ahuja. Trajectory-based Fisher Kernel Representation for Action Recognition in Videos. In International Conference on Pattern Recognition, 2012.

[C.20] S. Yang, L. Shapiro, M. Cunningham, M. Speltz, C. Birgfield, I. Atmosukarto, S-I. Lee. Skull Retrieval for Craniosynostosis Using Sparse Logistic Regression Models. In MICCAI Workshop on Medical Content Based Retrieval for Clinical Decision Support, 2012. [BEST PAPER AWARD]

[C.19]  I. Atmosukarto, L. G. Shapiro, C. Heike. The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantification. In International Conference on Pattern Recognition, 2010.

[C.18] I. Atmosukarto and L. G. Shapiro. 3D Object Retrieval Using Salient Views. In ACM Multimedia Information Retrieval, 2010. 

[C.17]  L.Shapiro, K. Wilamowska, I. Atmosukarto, J. Wu, C.  Heike, M. Speltz, and M. Cunningham.  Shape-Based Classification of 3D Head Data. In International Conference on Image Analysis and Processing, 2009.

[C.16]  I. Atmosukarto, L. Shapiro, M. Cunningham, and M. Speltz.  Automatic 3D Shape Severity Quantification and Localization for Deformational Plagiocephaly. In Proc. SPIE Medical Imaging: Image Processing, 2009.

[C.15] R. F. Tungaraza, L. G. Shapiro, J. Guan, I. Atmosukarto, S. M. Rolfe, J. Ojemann, A. Poliakov, E. Aylward, N. M. Kleinhans, J. F. Brinkley. A similarity retrieval method for functional magnetic resonance imaging (fMRI) statistical maps. In Proc. SPIE Medical Imaging: Image Processing, 2009.

[C.14]  S. Yang, I. Atmosukarto, J. Franklin, J. Brinkley, D. Suciu, L. Shapiro.  A model of multimodal fusion for medical applications. In Proc. SPIE Multimedia Content Access: Algorithms and Systems III, 2009.

[C.13] I. Atmosukarto, L. Shapiro. A Learning Approach to 3D Object Classification.  In Proc. S+SSPR, 2008.

[C.12]  I. Atmosukarto, L. G. Shapiro.  A Salient-Point Signature for 3D Object Retrieval. In Proc. ACM Multimedia Information Retrieval, 2008. 

[C.11] I. Atmosukarto, L. G. Shapiro.  Global 3D Mesh Segmentation using Local Operators. In Proc. Eurographics 2008 Workshop on 3D Object Retrieval, 2008. 

[C.10] I. Atmosukarto, R. Travillian, J. Franklin, L. Shapiro, J. Brinkley, and D. Suciu.  A unifiying framework for combining content-based image retrieval with relational database queries for biomedical applications. In Proc. Society for Imaging Informatics for Medicine Annual Meeting, 2008. 

[C.9] I. Atmosukarto, T.  D. Soper, E.  J. Seibel, Robb W. Glenny, and L. G. Shapiro.  An Interactive 3D User Interface for Bronchoscopy.  In Proc. SPIE Medical Imaging : Visualization and Image Guided Procedure, 2007  [Nominee for The Michael B. Merickel best student paper award]

[C.8]   T.  D. Soper, I. Atmosukarto, E.  J. Seibel, and Robb W. Glenny.  Interactive 3D Interface for Guiding an Ultrathin Bronchoscope.  In Proc. UIST, 2005 (Accepted poster)

[C.7]   Y. Li, I. Atmosukarto, M. Kobashi, J. Yuen and L. G. Shapiro.  Object and Event Recognition for Aerial Surveillance.  In SPIE Optics and Photonics in Global Homeland Security, SPIE Defense and Security Symposium, 2005. - (invited paper).

[C.6]  I. Atmosukarto, W.K. Leow, and Z. Huang.  Feature Combination and Relevance Feedback for 3D Model Retrieval.  In Proc. IEEE Multimedia Modelling 2005.  (presentation slides)

[C.5]  M. Yu, I. Atmosukarto, W.K. Leow, Z. Huang, and R. Xu.  3D model retrieval with morphing-based geometric and topological feature maps. In Proc. IEEE Computer Vision and Pattern Recognition, 2003, 2:656-661.

[C.4] L. Zhou, I. Atmosukarto, W. K. Leow, and Z. Huang.  Reconstructing surface discontinuities by intersecting tangent planes of advancing mesh frontiers. In Proc.Computer Graphics International, 2002:183-2002.

[C.3] I. Atmosukarto, L. Zhou, W. K. Leow, Z. Huang.  Polygonizing non-uniformly distributed 3D points by advancing mesh frontiers. In  Proc.Computer Graphics International, 2001:175-182. 

[C.2]  W. K. Leow, Z. Huang, l. Zhou, I. Atmosukarto and Y. Zhang.  Acquiring 3D models from images for multimedia systems.  In Proc.International Conference on Multimedia Modeling,  2000: 439-449. 

[C.1]  I. Atmosukarto, W. K. Leow, Z. Huang, Y. Zhang, and K. K. Sung.  Mesh construction from non-uniformly distributed and noisy 3D points recovered from image sequence. In Proc. Pacific Conference on Computer Graphics and Applications, 2000:423-424.  

Video Analysis Based on Sparse Registration and Multiple Domain Tracking 

US Patent Application: Serial No. 13/830,015, filed 03/13/2013 [ Pending], US Provisional Patent Application: Serial No. 61/614,146, filed 3/22/2012)

Bernard Ghanem, Shaunak Ahuja, Tianzhu Zhang, Indriyati Atmosukarto.

Frontier Advancing Polygonization

Patent Publication No. US-2003-0063085-A1,3 April 2003.

Wee Kheng Leow, Zhiyong Huang, Luping Zhou and I. Atmosukarto. 

Technical disclosures  at ADSC (4)

3D Shape Analysis for Quantification, Classification, and Retrieval 

I. Atmosukarto. PhD Thesis, University of Washington, 2010. 

3D Shape Quantification for Retrieval and Classification. 

I. Atmosukarto. Generals Thesis Proposal, University of Washington, 2008. 

Interactive 3D User Interface for Bronchosopy.

I. Atmosukarto.  PhD qualifier, University of Washington, 2006. 

Frontier Advancing Delaunay Triangulation of unorganized 3D points.

I. Atmosukarto.Master's Thesis. School of Computing, National University of Singapore, 2000. 

Polygonization of Noisy 3D Surface Points. 

I. Atmosukarto. Honor's Thesis. School of Computing, National University of Singapore, 2000.