Faculty

Education

B.S., 1979, Korea University at Seoul
M.S., 1984, University of Oklahoma
Ph.D., 1988, University of Oklahoma

Haklin Kimm is a Professor of Computer Science at East Stroudsburg University where he leads the High Performance Computing Lab. Kimm's research interests are in Distributed and Parallel Systems, Ubiquitous Computing and Communications, Automotive Software Engineering, Multilevel Security with Security enhanced Linux.

Teaching Interest

Mobile Computing (Grad) Embedded Systems (Grad), Computer Networks (Grad/Under) Computer Architecture (Grad/Under), Distributed Object Programming (Grad /Under) Advanced Operating Systems (Grad), Operating Systems using Linux (Under) Probability for Computer Science (Under), Object-Oriented Programming Parallel Computing using PVM/MPI, Assembly Language using IBM / PC Database Systems, Artificial Intelligence using Prolog/Neural nets Data Structure and Algorithms, Programming Language and Theory Network and Operating System Security, Cryptographic System Development Introduction to Computer Security

Research Interest

GPS Tracking Algorithms using GPS and Accelerometer, Application of OpenMP/MPI and Google TensorFlow programming, Distributed Image forgery detection algorithm, Starvation-free Controller Area Network Protocol

Service

ABET Computing Accreditation Commission Program Evaluator; Invited Reviewer for Natural Sciences and Engineering Research Council of CANADA; External PhD Thesis Reviewer for Brunei University; Editorial Board Member for Journal of Advances in Computer Networks and Journal of Computer Science Applications and Information Technology;

Publications & Presentations

Interdisciplinary Internship Projects Utilizing Legacy Robotic Equipment under Budget Constraints at a Small-sized Institution*, with Alexander Chaffer, Proceedings of the IEEE Princeton STEM Education Conference, Princeton, New Jersey, March 16, 2019.

A Two-Phase Symmetric Key Block Cipher, with Eun-Joo Lee and Bose Omo-Ekpadi, Journal of Computer Science Applications and Information Technology, Accepted in February, 2019.

Modelling and Verification of Non-Starvation Bitwise Arbitration Technique for Controller Area Network Using SPIN Promela*, with Hanke Kimm, Springer Series in Advances in Intelligent Systems and Computing, Phuket, Thailand, January 4-6, 2019.

Introducing Three Basic Parallel Computation Concepts to First Year Computer Science Students*, with Sukhamay Kundu, ACM/IEEE Workshop on Education for High Performance Computing (EduHPC-2018), Dallas, Texas, November 10-11, 2018.

Adaptive Design and Analysis of Starvation Free Controller Area Network for Multi-Robot System: Barrier Synchronization Technique Applied*, with Hanke Kimm, Proceedings Series by ACM of the 6th International Conference on Control, Mechatronics and Automation, Tokyo, Japan, October 12-14, 2018.1:43 PM 10/24/2025

Education

B.S., 1984, East Stroudsburg University
M.S., 1987, East Stroudsburg University
Ph.D., 1998, Rensselaer Polytechnic Institute

Dr. Mary Devito has over 30 years of research and development experience creating situational awareness applications for the Department of Defense. Mary's research is in the areas of database design/implementation and programming languages.

Education

B.S., 1985, Michigan Technological University
M.S., 1991, University of Lowell
Ph.D., 1999, Air Force Institute of Technology

Education

B.A., 1991, University of Delaware
M.S., 2000, University of Delaware
Ph.D., 2008 University of Delaware

Education

B.S., 1992, Zhejiang Forestry College
MS., 1995, Beijing Forestry University, China MS., 2000, The University of Georgia
M.S., 2002, University of Georgia
Ph.D., 2008 University of Georgia

Dr. Dongsheng Che is a professor of Computer Science at East Stroudsburg University of PA. He teaches introductory programming classes, and Artificial Intelligence related courses, including Artificial Intelligence, Machine Learning, Natural Language Processing. His research is in areas of Machine learning and Deep Learning, Artificial Intelligence, Natural Language Processing, Data Science, Bioinformatics/Computational Biology.

Education

M.S., 1991, Chonnam National University
Ph.D., 1997, Chonnam National University
Ph.D., 2008, University of Kentucky

Education

B.S., 2008, Daffodil International University
M.S., 2014, North Dakota State University
Ph.D., 2018, North Dakota State University

I am a Tenure Track Assistant Professor at the Computer Science Department, East Stroudsburg University of Pennsylvania. I am also the interim director of the cyber security program at ESU. My research focus is on computational trust, machine learning algorithms' application on cyber security.

Teaching Interest

My teaching interest is in cyber security and software engineering related courses. I taught CPSC 470 (Computer Security II: Operating System and Network Security) , CPSC 475 (Computer Security Administration and Policy), CPSC 141(Introduction to Computer Organization), CPSC 130 (Introduction to Computer Programming I) at ESU.

Research Interest

My research focus is in computational trust which falls under the umbrella of the cyber security. My additional research focus is in the machine learning algorithms application in the cyber security realm.

Service

Assistant Director, Computer Security Program, East Stroudsburg University of Pennsylvania, (February 2019), Programmer, Blue Cross Blue Shield of North Dakota, (September 2012-February 2015), Software Developer at AES Dickinson R/E Centre, North Dakota State University, ND, USA (March 2015 - November 2015), Graduate Research Assistant with US DoD Grant support, Computer Science Department, North Dakota State University, Fargo, ND, USA (January 2010 – December 2010), Graduate Teaching Assistant, Computer Science Department, North Dakota State University, Fargo, ND, USA (August 2009 - May 2012, January 2016 - May 2018).

Publications & Presentations

Journal Paper:

Kendall E. Nygard, Md. Minhaz Chowdhury, Ahmed Bugalwi, Pratap Kotala, “People and Intelligent Machines in Decision Making”, International Journal of Computers and Their Applications, 2017.

Conference Papers:

Kendall E. Nygard, Md Minhaz Chowdhury, K Kambhampaty, Pratap Kotala, Cybersecurity Materials for K-12 Education, Midwest Instruction and Computing Symposium 2018, April 2018, Duluth, Minnesota.

Md Minhaz Chowdhury, Kendall Nygard, "Machine Learning within a Con Resistant Trust Model", The 33rd International Conference on Computers and Their Applications (CATA 2018), March 19-21, 2018, Flamingo Hotel, Las Vegas, Nevada, USA.

Feng Chang, K. Kambhampaty, Md Minhaz Chowdhury, Kendall Nygard, "Using Twitter to Determine GMO Perception Differences Between Countries", The 33rd International Conference on Computers and Their Applications (CATA 2018), March 19-21, 2018, Flamingo Hotel, Las Vegas, Nevada, USA.

Md Minhaz Chowdhury, Kendall E. Nygard, Krishna Kambhampaty, Maryam Alruwaythi, “Deception in Cyberspace: Performance Focused Con Resistant Trust Algorithm”, the 4th Annual Conference on Computational Science & Computational Intelligence, December 2017, Las Vegas, Nevada, USA.

Md Minhaz Chowdhury, Kendall E. Nygard, “An Empirical Study on Con Resistant Trust Algorithm for Cyberspace”, The 2017 World Congress in Computer Science, Computer Engineering, & Applied Computing, 2017, Las Vegas, Nevada, USA.

Md Minhaz Chowdhury, Kendall E. Nygard, “Deception in Cyberspace: An Empirical Study on a Con Man Attack”, the 16th Annual IEEE International Conference on Electro Information Technology, May 2017, Lincoln, Nebraska, USA.

Kendall E. Nygard, Md. Minhaz Chowdhury, Pratap Kotala, “Trust and Purpose in Computing”, The 32nd International Conference on Computers and Their Applications, March 2017, Honolulu, Hawaii, USA.

Md Khan, Md Minhaz Chowdhury, Kendall E. Nygard, “Electricity Price Forecasting in a Smart Grid”, The 9th International Conference on Future Computational Technologies and Applications, February 2017, Athens, Greece.

Education

B.Tech., 2003, University of Madras
MSc., 2006, University of Northern British Columbia
h.D.,2012, University of Calgary

Jeyaprakash (Jey) Chelladurai is currently an Assistant Professor in the Computer Science Department at East Stroudsburg University of Pennsylvania, located in East Stroudsburg, Pennsylvania, United States.

Jey has had the privilege of working with world-renowned scientists, including Dr. Przemyslaw Prusinkiewicz, a SIGGRAPH award recipient known for his groundbreaking work on L-systems, and Dr. Alex A. Aravind, recognized for his contributions to concurrency and synchronization issues. Jey began his research career as a Master’s student at the University of Northern British Columbia under the guidance of Dr. Alex A. Aravind. His research on CPU scheduling algorithms has been featured in the book Operating Systems by Sibsankar Haldar and Alex A. Aravind.

During his Ph.D. studies with Dr. Prusinkiewicz, Jey developed a deep passion for graphics and animation. In his view, graphics programming is more engaging than traditional programming because it brings math and physics to life, making the process exciting and invigorating as the visual output unfolds.

Jey is a dedicated and passionate teacher. Many of his former students have gone on to successful careers at prestigious organizations such as Amazon, Siemens, Walt Disney Studios, and Lockheed Martin.

In addition to his academic pursuits, Jey is also a skilled visual effects artist. He worked at NUTV at the University of Calgary and has experience as an independent filmmaker.

Teaching Interest

Introduction to Computer Programming I and II, PCs and Their Uses in Sciences, Introduction to Information Management with Spreadsheets, Computer Graphics, Artificial Intelligence and Heuristic Programming, Real Time Systems, Mobile App Development, Operating Systems and Design, Mobile Application Development, Computer Organization and Architecture, Programming Languages, Theory of Computation, Data Structures and Algorithms

Research Interest

Computer Graphics, Virtual Reality, Artificial and Swarm Intelligence, Biological Modeling, CPU Scheduling, Controller Area Networks

Service

University Senator (Since Fall 2022), Member of Senate Research Committee (Since Fall 2022), Member of Senate Rules and By-Laws Committee (Since Fall 2024), APSCUF Recycling committee (since Fall 2024), FDR grant review committee (Since Spring 2023), Member of the Working Group for the Middle States Commission on Higher Education – Standard 2, Department Representative for STEM4U, a group of mostly women in STEM departments on campus (Since Spring 2023), Chair of CPSC Assessment Committee (Since Spring 2023), Coordinator of CPSC Scholarship Committee (Since Spring 2020), ABET Assessment Committee (Since Fall 2019), CPSC Department Evaluation Committee (Since Fall 2019), CPSC Curriculum Committee (Since Fall 2019)

Student Group Advising

I have met with my assigned undergraduate advisees at least once a semester to advise them on their course of study. During these meetings, I assist students in identifying their academic goals, developing a plan of study that meets their needs, and navigating any academic or personal challenges they may face during their time at the university. I spend nearly half an hour with each advisee to select courses and ensure that they meet all prerequisites for courses in the upcoming semester so that they can graduate on time as planned. For students with transfer credits, I examine their transcripts to determine if those courses satisfy the prerequisites for courses at ESU. On average, I advise 19 undergraduates per semester at ESU. In summary, I help advisees with early registration planning, discuss semester and long-term plans, and work closely with them to ensure that they graduate on time.

Publications & Presentations

J Chelladurai, B, B Madeya, and K Diaz, L-System on a Toroidal Topology: Crafting Refined Closed-Loop Mazes. In Proceedings of the 2024 8th International Conference on Virtual and Augmented Reality Simulations (pp. 90-96), Melbourne, Australia, March 2024.

H Kimm and J Chelladurai, Scheduling of sporadic messages on starvation-free Control Area Network, 6th International Conference on Information Science and Systems (ICISS), August 11-13, 2023, Edinburgh, United Kingdom.

M Yaswinski, J Chelladurai, and S Barot, Escape the Castle: A Virtual Reality Game Utilizing L-Systems for Dynamic Level Generation, 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), July 13-15, 2023, Bali, Indonesia.

J. Chelladurai, Processor Scheduling Algorithms using a Discrete-Event Simulator, 4th International Conference on Computing and Communication System (I3CS) 16-18 March 2023, Shilong, India.

J. Chelladurai, Exploring Complex Toroidal Mazes with L-Systems, 4th International Conference on Computing and Communication System (I3CS) 16-18 March 2023, Shilong, India.