Arisoa S. Randrianasolo

Assistant Professor

 

Educational Background

  1. Ph.D. Texas Tech University, Lubbock, TX.  Concentration: Computer Science; Articial Intelligence. Dissertation: Using Articial Intelligence in Computer Security (2012)
  2. M.S. Texas Tech University, Lubbock, TX. Master's Thesis: Intention Prediction via Probabilistic Calculation (2010)
  3. B.S. Computer Science ; Mathematics, Abilene Christian University, Abilene, TX, (2008)

Previous Employment and Extracurricular Activities

  1. Teaching Assistant  at Texas Tech University, Computer Science Department, Lubbock, TX (2010-2011)
  2. Web programmer; Free lance web programmer (Spring 2010)
     Url: soulprodigyministries.com.v
  3. Graduate Assistant  at Texas Tech University, Computer Science Department, Lubbock, TX (2008-2009)
     Performed researches in POMDP solvers and Reinforcement Learning.
  4. Programmer, College of Outreach and Distance Education, Texas Tech University (2008-2009)
     Wrote code in C# for the virtual high school project.
  5. Lab Teacher, School of Business, Abilene Christian University, Abilene, TX (2008-2009)
     Taught introduction and advanced MS Excel and Access lab for 250 students.

Academic Contributions

  1. Arisoa S. Randrianasolo and Larry D. Pyeatt,\An Arti
    cial Immune System Based on Holland's Classi
    er as Network Intrusion Detection,"Proceedings of the 11th International Conference on Machine Learning and Applications ICMLA 2012, Boca Raton, Florida 2012.
  2. Arisoa S. Randrianasolo and Larry D. Pyeatt,\Using Local Regression in Monte-Carlo Tree Search,"Proceedings of the 11th International Conference on Machine Learning and Applications ICMLA 2012, Boca Raton, Florida 2012.
  3. Arisoa S. Randrianasolo and Larry D. Pyeatt, \Applying Context-Based Prediction in Adversarial Watkins' Q() Learning ," Proceedings of the 2011 International Conference on Arti
    cial Intelligence, ICAI 2011, CSREA Press, Las Vegas, Nevada, July 2011.
  4. Eddy C. Borera, Arisoa S. Randrianasolo, Madhi Naser-Moghadasi and Larry D. Pyeatt, Pruning POMDP Value Functions with the Kaczmarz Iterative Method," Proceedings of the 9th Mexican International Conference on Arti
    cial Intelligence (MICAI), Springer, 254{265, Pachuca, Mexico, November 2010.

Honors and Awards

  1. Awarded Dwight Caugh
    eld Award from Abilene Christian University Computer Science Department in May 2008.
  2. Received the Madagascar Presidential Scholarship in Fall 2004.