Resume

• 2013

  Doctor of Philosophy (PhD)

  Mathematics and Statistics

  Secretary

  Friends of Sri Lanka Club at University of South Florida Member

  Statistics Club of Department of Mathematics and Statistics

  University of South Florida. Member

  American Statistical Association

  University of South Florida

• 2011

  Sinhalese

  English

  Master of Arts (M.A.)

  PhD candidate and teaching associate

  Mathematics and Statistics

  Statistics Club

  University of South Florida

  Master of Arts (M.A.)

  “Tharp Endowed Award 2013” awarded by the College of Arts and Sciences

  University of South Florida

  Tampa. 2013\n

  Mathematics and Statistics

  Secretary

  Friends of Sri Lanka Club at University of South Florida (NESA)(2013-2014)

  Unversity of South Florida

  Advanced Certificate level in Information Technology (External) Degree

  University of Colombo School of Computing

• Urban Scholars Outreach Program (USOP)

  Teacher

  Data Analysis

  Microsoft Office

  Leadership

  Public Speaking

  Teaching

  Microsoft Excel

  Microsoft Word

  Higher Education

  PowerPoint

  University Teaching

  Qualitative Research

  SPSS

  Teamwork

  Science

  Research

  Statistics

  Matlab

  R

  Artificial Neural Network Survival Analysis for Lung Cancer

  Chris P. Tsokos

  In this current study

  the discrete time hazards of malignant lung cancer patients are obtained using the neural network proposed by Mani et al. Major risk factors which contribute to the survival of lung cancer patients are taken into consideration

  including Age

  Tumor size

  Stage of cancer

  Cell type

  etc. A comparison is made between the subject neural network based model and classical survival analysis models. The proposed neural network method has largely reduced the data repetition involved with data pre-processing and provides more reliable predictions of the survival time of lung cancer patients.

  Artificial Neural Network Survival Analysis for Lung Cancer

  Tayesseer Sharaf

  Chris P. Tsokos

  We build a successful breast cancer classification model to correctly identify potential breast cancer patients

  Regularized Neural Network to Identify Potential Breast Cancer: A Bayesian Approach

  Rodrigo

  My research interests span over several interdisciplinary areas including statistical data mining

  especially in artificial neural networks (ANNs)

  Bayesian analysis

  Survival analysis and Time series analysis. \nI have a high propensity and experience in teaching. Moreover

  I love to do statistical data analysis.

  Hansapani

  The University of Texas Rio Grande Valley

  University of South Florida

  University of Colombo

  University of Moratuwa

  University of South Florida

  My responsibilities include teaching help sessions

  proctoring

  grading

  assisting students

  Graduate Teaching Assistant

  Conducting tutorial classes and lab sessions to undergraduate students

  Coordinating subject modules of visiting lectures in the department

  Instructor

  Sri Lanka

  University of Moratuwa

  Colombo

  Sri Lanka

  Teaching

  Proctoring

  Advising students

  Instructor

  University of Colombo

  University of South Florida

  Teaching undergraduate level statistics courses

  Advising students

  Other scholarly activities

  Graduate Teaching Associate

  Edinburg

  Texas

  Assistant Professor

  The University of Texas Rio Grande Valley

  Secratory

  Academic program committee member

  International Federation of Nonlinear Analysts (IFNA)