About Me
Name    Dr. NAWANOL  THEERA-AMPORNPUNT
Position   Lecturer
Email   nawanol.t@phuket.psu.ac.th
Phone   +66 7627 6499
EDUCATION
  2017
Ph.D. Degree

Ph.D. in Computer Science, Purdue University

  2009
Bachelor Degree

B.S. in Computer Science, Carnegie Mellon University

RESEARCH INTERESTS


Computer Vision



Machine Learning



Game-playing AI



Mobile Computing



Research Projects

Traffic Sign Detection and Classification

Sentiment Analysis of Business Reviews

Research Projects

APPOINTMENT

Lecturer - 2017

TEACHING

242-481 Machine Intelligence

140-240 Data Structures

140-141 Algorithmic Process and Programming

976-140 Software and Computer Programming

 

International Journal Articles

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.

Link:   Year: 2016

Tag: Genomic enhancers ,   Enhancer prediction ,   Deep neural networks (DNNs) ,   Histone modifications ,   ChIP-seq ,   Cis-regulatory modules (CRMs) ,   Interpretability of blackbox models   

INTERNATIONAL Proceedings

Kwankamon 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:    Year: 2017

Tag: object recognition ,   banana cultivar ,   shape analysis   

Kwankamon 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:    Year: 2018

Tag: Image mining ,   Texture analysis ,   Image processing   

Heng 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:    Year: 2017

Tag: Network architectures ,   Network services ,   Network experimentation   

Nawanol 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:    Year: 2016

Tag: Multimedia streaming ,   cellular network ,   reliability   

Tarun 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:    Year: 2016

Tag: Multimedia streaming ,   Network performance analysis ,   Mobile networks   

Nawanol 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:    Year: 2016

Tag: machine learning ,   classifier training ,   computational genomics ,   computational cost ,   network cost   

Seong 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:    Year: 2015

Tag: Enhancer predictions ,   deep neural networks ,   histone modification signatures ,   DNN interpretability   

Nawanol 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:    Year: 2013

Tag: reliability ,   availability ,   serviceability   

Ignacio 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:    Year: 2013

Tag: debugging aids ,   tracing ,   diagnostics ,   performance metrics   

Kwankamon 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:    Year: 2018

Tag: Pineapple Mining, Pineapple Grading, Image Mining, Image Analysis, Agriculture Informatics   

CONATCT ME

+66 7627 6499

COLLEGE OF COMPUTING
Prince of Songkla University Phuket Campus 80 M.1 Vichitsongkram Road Kathu, Phuket 83120