My Google Scholar here:http://scholar.google.com/citations?user=_yw77_sAAAAJ&hl=en

My dblp bib: http://dblp.uni-trier.de/pers/hd/k/Keshtkar:Fazel.html

I am an Assistant Professor in the Department of Computer Science at the Missouri State University, Southeast. Prior to this, I spent more than two years as a Research Scientist Fellow in the Institute for Intelligent Systems (IIS) at the University of Memphis working with Prof. Art Graesser in Intelligent Tutoring Systems.  I got my Ph.D. in Computer Science from the School of Electrical Eng. & Computer ScienceUniversity of Ottawa, Canada, under the supervision of Prof. Diana Inkpen.

Research Interests

Computational Linguistics; Natural Language Processing (NLP), Artificial Intelligence. Natural Language Generation (NLG) & Understanding; Machine Learning; Data Mining, Information Retrieval and Extraction, Intelligent Tutoring Systems, Educational Data Mining.

Academic Experience

Assistant Professor: Aug 2013 - Present

Dept. of Computer Science, Southeast Missouri State University;

Research Scientist: March 2011 - Aug 2013

University of Memphis, Institute for Intelligent Systems

Research Assistant: University of Ottawa, EECS; 2005 —  2011

Education

Ph.D., Computer Science, 2011

University of Ottawa, Canada. Advisor:  Dr. Diana Inkpen

M.Sc., Computer Science

University of Ottawa, Canada. Advisor:  Dr. Wail Gueaieb

 

Teaching (past)

· CS403: Information Retrieval: Fall 2014

· CS331 Applications Programming in Java: Spring: 2016, 2015, 2014

· IS360 Mobile Application Development (Android): Spring: 2016, 2015, 2014

· CS245 Discrete Structures I: Fall: 2015, 2014, 2013

· IS245 Web Development and Security, Fall: 2015, Summer: 2015

· CS177 Programming for Scientists and Eng. (Python): Fall: 2015, 2014, 2013, Spring: 2016, F2015, 2014

Fazel Keshtkar

Assistant Professor

Ph.D., Computer Science

University of Ottawa

News (more…)

· Dr. Keshtkar organizes and Program Co-chairs of Special Track in Applied NLP at FLAIRS 29 2016 Conference

· Dr. Keshtkar serves as reviewer and is a member of Editorial Manager for Journal of Educational Psychology, American Psychological Association (APA), 2012-present

· Dr. Keshtkar organizes and Program Co-chairs of Special Track in Applied NLP at FLAIRS 28 2015 Conference

· Dr. Keshtkar serves as reviewer in Journal of IEEE’s Transactions on Affective Computing

· Dr. Keshtkar serves as Program Committee in 27th Canadian Conference on Artificial Intelligence, 2014 http://www.canadianai.ca/

· Dr. Keshtkar organizes and Program Co-chairs of Special Track in Applied NLP at FLAIRS 27 2014 Conference

· Dr. Keshtkar serves as Program Committee in ACL 2013 Conference, Sentiment and Emotion Analysis Track.

· Dr. Keshtkar serves as Program Co-Chairs: AIED 2013; 16th Int. Conference in Artificial Intelligence in Education

· Dr. Keshtkar serves as Program Co-Chairs: EDM 2013; 6th Int. Conference in Educational Data Mining

· Dr. Keshtkar serves as Committee member for FLAIRS 2013, NLP area.

· Dr. Keshtkar serves teaches Java Programming, U of Memphis, COMP 4/6014 in Fall 2012

Fazel Keshtkar, Ph.D.

Assistant Professor

Department of Computer Science

Southeast Missouri State University

 

Contact Info:
Email:     fkeshtkar 
[ @ ] semo [ . ] edu
Web:       
http://cstl-csm.semo.edu/fkeshtkar 
Office:    
 Dempster Hall, DH021F
Tel:         +1-573-651-2208

Fax:        +1-573-651-2791

©2011-2014 Fazel Keshtkar, PhD

Southeast Missouri State University

Prospective Students

If you are interested in my research and would like to do interesting and fun projects, please feel free to send me a message. I would appreciate it if you could provide the following information:

· Your programming skills.

· The project or field you would like to work on.

· Please note that financial aid can only be granted to extremely competitive students and is subject to the availability of sufficient funds.

Current Projects and research:

· Intelligent Tutoring/Assistant Robot (ITR)

In this project, we aim to develop a learning robot to help students in computer Laboratory. The ITR aims to improve human-robot interaction to guide and help students with their questions and problems as a teaching assistant or tutor. The goal of this project is to develop a robot to be a tutor and an assistant in the Lab.

Collaborator: Dr. Suruz Miah, Bradley University

Student(s): Yasodh Jayathilake

 

· Analyzing Student’s Learning Outcomes in Online Platform

Detecting students’ performance is one the most crucial task in online learning platforms such, Moodle, MOOC, etc. We  consider this  problem as classification and clustering task. To overcome this issue, we applied various learning methods to detect the course results and academic performance. We developed a learning algorithms based on meta data have to address this problem. In this research we applied various classifications/clustering models, evaluation measurements, and statistical analysis test to predict the performance of students’ learning outcomes based on log dataset.

Students: Jordan Cowart, Andrew Crutcher,  Ben Kingen

 

· Sentiment and Personality Analysis in Teacher’s Question in Class Room

In this project, we aim to determine and analyze teachers’ behavior based on their questions in class room, based on data available. To do this, we aim to determine the sentiment of the questions that asked. Question sentiment may affect on student behavior s to response. Also, we aim to detect teachers personality based on their question. This project is a collaboration with Dr. Andrew Olney, University of Memphis.

Collaborator: Dr. Andrew Olney, University of Memphis

Student(s): Zack Hitchcock