About Me
Name | Dr. NAWANOL THEERA-AMPORNPUNT |
Position | Assistant Professor |
nawanol.t@phuket.psu.ac.th | |
Phone | +66 7627 6499 |
EDUCATION
Ph.D. in Computer Science, Purdue University
B.S. in Computer Science, Carnegie Mellon University
RESEARCH INTERESTS
Image Recognition
Computer Vision
Machine Learning
Research Projects
Early Bread Mold Detection Through Microscopic Images
Automatic Thai Food Recognition
APPOINTMENT
Assistant Professor - 2021
Lecturer - 2017
TEACHING
242-481 Machine Intelligence
968-141 Data Structures and Algorithms
140-240 Data Structures
140-141 Algorithmic Process and Programming
968-121 Statistics and Probability
976-140 Software and Computer Programming
International Journal Articles
N. Theera-Ampornpunt, P. Treepong, “Optimizing Hyperparameters for Thai Cuisine Recognition via Convolutional Neural Networks,” Traitement du Signal, vol. 40, no. 3, pp. 1187–1193, 2023.
Tag: food computing , Image Recognition , Object Recognition , Thai FoodP. Treepong, N. Theera-Ampornpunt, “Early Bread Mold Detection Through Microscopic Images Using Convolutional Neural Network,” Current Research in Food Science, vol. 7, Aug. 2023, Art. no. 100574.
Tag: image classification , Microbiology , food safety , food computingChih-Hao Fang, Nawanol Theera-Ampornpunt, Michael A. Roth, Ananth Grama, and Somali Chaterji. "AIKYATAN: Mapping Distal Regulatory Elements using Convolutional Learning on GPU," BMC Bioinformatics, Volume 20, December 2019.
Tag: Enhancers , Epigenomics , Graphics processing units (GPU)Seong Gon Kim, Nawanol Theera-Ampornpunt, Chih-Hao Fang, Mrudul Harwani, Ananth Grama and Somali Chaterji. "Opening up the blackbox: an interpretable deep neural network-based classifier for cell-type specific enhancer predictions," BMC Systems Biology, Volume 10, Number 2, pp. 243–258, August 2016.
Tag: Genomic enhancers , Enhancer prediction , Deep neural networks (DNNs) , Histone modifications , ChIP-seq , Cis-regulatory modules (CRMs) , Interpretability of blackbox modelsINTERNATIONAL Proceedings
Nawanol Theera-Ampornpunt, Shikhar Suryavansh, Sameer Manchanda, Rajesh Panta, Kaustubh Joshi, Mostafa Ammar, Mung Chiang, Saurabh Bagchi. "AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming," In proceedings of the International Conference on Embedded Wireless Systems and Networks (EWSN) 2020, Lyon, France, 17–19 February 2020.
Attachments Link: Month/Year: 2/2020
Tag: Mobile networks , Embedded SystemKwankamon Dittakan and Nawanol Theera-Ampornpunt. "Pum-Riang Thai Silk Pattern Classification using Texture Analysis." In proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018), Nanjing, China, 28–31 August 2018.
Attachments Link: Month/Year: 8/2018
Tag: Image mining , Texture analysis , Image processingKwankamon Dittakan, Nawanol Theera-Ampornpunt, and Pattaporn Boodliam. "Non-destructive Grading of Pattavia Pineapple using Texture Analysis," In proceedings of the 21st International Symposium on Wireless Personal Multimedia Communications (WPMC-2018), Chiang Rai, Thailand, 25–28 November 2018.
Attachments Link: Month/Year: 11/2018
Tag: Pineapple Mining, Pineapple Grading, Image Mining, Image Analysis, Agriculture InformaticsKwankamon Dittakan, Nawanol Theera-Ampornpunt, Waraphon Witthayarat, Sararat Hinnoy, Supawit Klaiwan, and Thunyatorn Pratheep. "Banana Cultivar Classification using Scale Invariant Shape Analysis," In proceedings of the 2nd International Conference on Information Technology (InCIT 2017), Nakhon Pathom, Thailand, 2–3 November 2017.
Attachments Link: Month/Year: 11/2017
Tag: object recognition , banana cultivar , shape analysisHeng Zhang, Nawanol Theera-Ampornpunt, He Wang, Saurabh Bagchi, and Rajesh Panta. "Sense-Aid: A Framework for Enabling Network as a Service for Participatory Sensing," In Middleware 2017, Las Vegas, Nevada, USA, 11–15 December 2017.
Attachments Link: Month/Year: 12/2017
Tag: Network architectures , Network services , Network experimentationNawanol Theera-Ampornpunt, Tarun Mangla, Saurabh Bagchi, Rajesh Panta, Kaustubh Joshi, Mostafa Ammar, and Ellen Zegura. "Tango: Toward a More Reliable Mobile Streaming through Cooperation between Cellular Network and Mobile Devices," In proceedings of the 35th Symposium on Reliable Distributed Systems (SRDS 2016), Budapest, Hungary, 26–29 September 2016.
Attachments Link: Month/Year: 9/2016
Tag: Multimedia streaming , cellular network , reliabilityTarun Mangla, Nawanol Theera-Ampornpunt, Mostafa Ammar, Ellen Zegura , and Saurabh Bagchi. "Video Through a Crystal Ball: Effect of Bandwidth Prediction Quality on Adaptive Streaming in Mobile Environments," In proceedings of the 8th ACM Workshop on Mobile Video (MoVid 2016), Klagenfurt am Wörthersee, Austria, 10–13 May 2016.
Attachments Link: Month/Year: 5/2016
Tag: Multimedia streaming , Network performance analysis , Mobile networksNawanol Theera-Ampornpunt, Seong Gon Kim, Asish Ghoshal, Saurabh Bagchi, Ananth Grama, and Somali Chaterji. "Fast Training on Large Genomics Data using Distributed Support Vector Machines," In proceedings of the 8th International Conference on Communication Systems and Networks (COMSNETS 2016), Bangalore, India, 5–9 January 2016.
Attachments Link: Month/Year: 1/2016
Tag: machine learning , classifier training , computational genomics , computational cost , network costSeong Gon Kim, Nawanol Theera-Ampornpunt, Ananth Grama, and Somali Chaterji. "Interpretable Deep Neural Networks for Enhancer Prediction," In proceedings of the 2015 IEEE International Conference on BioInformation and BioMedicine (BIBM 2015), Washington, DC, 9–12 November 2015.
Attachments Link: Month/Year: 11/2015
Tag: Enhancer predictions , deep neural networks , histone modification signatures , DNN interpretabilityNawanol Theera-Ampornpunt, Saurabh Bagchi, Kaustubh Joshi, and Rajesh Panta. "Using Big Data for More Dependability: A Cellular Network Tale," In proceedings of 9th Workshop on Hot Topics in Dependable Systems (HotDep 2013), Farmington, Pennsylvania, 3 November 2013.
Attachments Link: Month/Year: 11/2013
Tag: reliability , availability , serviceabilityIgnacio Laguna, Subrata Mitra, Fahad Arshad, Nawanol Theera-Ampornpunt, Zongyang Zhu, Saurabh Bagchi, Samuel Midkiff, Mike Kistler and Ahmed Gheith. Automatic Problem Localization in Distributed Applications via Multi-dimensional Metric Profiling. In proceedings of the 32nd International Symposium on Reliable Distributed Systems (SRDS 2013), Braga, Portugal, 30 September – 3 October 2013.
Attachments Link: Month/Year: 9/2013
Tag: debugging aids , tracing , diagnostics , performance metricsCONATCT ME
+66 7627 6499
COLLEGE OF COMPUTING
Prince of Songkla University Phuket Campus 80 M.1 Vichitsongkram Road Kathu, Phuket 83120