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Peratham Wiriyathammabhum

3340 A.V.Williams Building
Department of Computer Science
University of Maryland, College Park
Email: [My Name] $*at*$ cs -0dot-0 umd.edu
Twitter: @peratham

I am a graduate student at the Department of Computer Science, University of Maryland, College Park. I am a member of the Computer Vision Lab and the Center for Automaion Research. My research focuses are Machine Learning, Computer Vision, Natural Language Processing, Data Mining and Social Network Analysis. I am interested in Tensor Methods, Dimensionality Reduction and Deep Learning. I also have some experiences in Recommender Systems, Learning to Rank and FinTech.

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Education

University of Maryland, College Park, MD, USA August 2013 - ongoing

A Graduate Degree in Computer Science

University of Maryland, College Park, MD, USA August 2013 - December 2015

M.S. Computer Science
Scholarly Paper in Language and Vision

Chulalongkorn University, Bangkok, Thailand May 2009 - March 2010

M.Eng. Computer Engineering
Thesis topic: An approach to Basis Selection for Dimensional Reduction techniques. (Very Good Thesis)

Chulalongkorn University, Bangkok, ThailandMay 2005 - March 2009

B.Eng. Computer Engineering (Honors)

Publications

See my google scholar page.

Internship
Coursework
  • Introduction to Quantum Information Processing (CMSC858K), Prof. Andrew Childs, Fall'15.
  • Vision for Cognitive Robots (CMSC828Y), Prof. Yiannis Aloimonos, Spring'15 | A+.
  • AI Planning (CMSC722), Prof. Dana Nau, Spring'15.
  • Logical Aspects of AI (CMSC828N), Prof. V.S. Subrahmanian, Fall'14.
  • Computer Processing of Pictorial Information (CMSC733), Prof. David Jacobs, Fall'14.
  • Information-Centric Design of Systems (CMSC818G), Prof. Ashok Agrawala, Spring'14.
  • Graduate Seminar in Computer Science (CMSC798F), Prof. Yiannis Aloimonos, Spring'14 | A+.
  • Computational Linguistics II (CMSC773), Prof. Philip Resnik, Spring'14.
  • Advanced Database Management Systems (CMSC724), Prof. Nick Roussopoulos, Spring'14.
  • Graduate Seminar in Computer Science (CMSC 798E), Prof. Jeff Foster, Fall'13.
  • Computational Linguistics I (CMSC723), Prof. Jordan Boyd-Graber, Fall'13 | A+.
  • Scientific Computing I (CMSC660), Prof. Ramani Duraiswami, Fall'13.
Sit-in Courses
  • Introduction to Statistical Pattern Recognition (CMSC828C), Prof. Rama Chellappa, Fall'15.
Teaching
  • Image Processing (CMSC426), Spring'16 at UMD
  • Object Oriented Programming I (CMSC131), Spring'14, Spring'15 and Fall'16 at UMD
  • Object Oriented Programming II (CMSC132), Fall'14 and Fall'15 at UMD
  • Introduction to Computer Systems (CMSC216), Spring'17 at UMD
Professional Services
Journal Reviewer:
  • Computer Vision and Image Understanding (CVIU) 2014, 2016, 2017.
  • Image and Vision Computing (IVC) 2014, 2015, 2016, 2017.
  • The Visual Computer (TVCJ) 2016.
  • ACM Computing Surveys (ACM CSUR) 2013.
Conference Reviewer:
  • The Thirtieth AAAI Conference on Artificial Intelligence (AAAI) 2016.
Student Volunteer:
  • Annual Meeting of the Association for Computational Linguistics (ACL) 2014.
Experiences

Visiting Scholar Jan 2013 – July 2013

  • Computational Linguistics and Information Processing (CLIP) Lab, University of Maryland Institute for Advanced Computer Studies (UMIACS), University of Maryland, College Park, MD, USA.

    Sit-in Courses:
    • Bayesian Nonparametrics (CMSC828B), Prof. Hal Daumé III, Prof. Jordan Boyd-Graber, Prof. Naomi Feldman, Spring'13.
    • Machine Learning (CMSC422), Prof. Hal Daumé III, Spring'13.
    • Next Generation Financial Cyber Infrastructure (BMGT499B), Prof. Louiqa Raschid, Spring'13.

Java & J2EE Instructor Jan 2012 – June 2012

  • University Office of Information Technology (IT Chula), Chulalongkorn University.

Student (Monbukagakusho Scholarship) Oct 2010 – June 2011

  • Okumura-Takamura Group, Department of Information Processing, Tokyo Institute of Technology.

    Courses:
    • Machine Learning, Prof. Tsuyoshi Murata.
    • Speech and Language Processing, Prof. Takao Kobayashi and Prof. Manabu Okumura.
    • Intelligent Information Systems.
    • Advanced Topics in Intelligence Science.
    • Advanced Topics in Mathematical Information Science.
    • Japanese Writing.

Summer Schools

  • iV&L Net Summer Training School, Jun 2015, KU Leuven, Belgium.
  • Machine Learning Summer School, Jun 2011, Purdue University, USA.
Presentations
  • Shankar Prawesh, Peratham Wiriyathammabhum, William Rand, Louiqa Raschid: An Analysis of Conversations on Twitter, Winter Conference on Business Intelligence (WCBI'2014).
  • Peratham Wiriyathammabhum, Louiqa Raschid, Shanchan Wu. Learning Bonacich Centrality to Make Recommendations in Social Media. 5th Annual Complexity in Business Conference, 2013. (CCB'2013)
Favorite Places
Seas, Beaches, Botanical Gardens
References
Available on request