Faculty

Kuang-Nan Chang
Professor

Image Professor Kuang-Nan Chang

Education:
B.S.  Feng-Chia University, Taiwan, IECS
M.S. University of Texas at Arlington, CSE
Ph.D. University of Texas at Arlington, Software Engineering/Testing

Email:  Kuangnan.Chang@eku.edu
Phone: 859-622-1935

Research/Academic Interests:

  • Software Engineering
  • Software Testing
  • SQA
  • Project Management

Associations/Affiliations/Work History:

  • Professor, Computer Science, Eastern Kentucky University, Richmond, KY
  • Associate Professor, Computer Science Department, Eastern Kentucky University, Richmond, KY
  • Faculty Sponsor of the ACM Chapter at Eastern Kentucky University, Richmond, KY, 2007-2009
  • Faculty Sponsor of the Upsilon Pi Epsilon Chapter at Eastern Kentucky University, Richmond, KY, 2006-present.
  • Assistant Professor, Computer Science Department, Eastern Kentucky University, Richmond, KY
  • Instructor, Computer Science and Engineering Department, University of Texas at Arlington, Arlington, TX
  • Assistant Instructor, Computer Science and Engineering Department, University of Texas at Arlington, TX
  • Software Engineer, Chiao-Hung Co. Ltd., Taiwan

Awards/Accolades:

  • Nominee for Outstanding Instructor in First Year Courses, 2015
  • Nominee for Critical Thinking Teacher of the Year Awards, 2014-2015
  • Nominee for Critical Thinking Teacher of the Year Awards, 2011-2012

Michael Hartman, J.D.

Image Michael Hartman, J.D.

Education:
B.S.F.S.  Georgetown University, School of Foreign Service
Juris Doctor University of Georgia School of Law

Email:  Michael.Hartman@eku.edu
Phone:  859-533-6643

Research/Academic Interests:

  • Digital Transformation
  • Gamification
  • Esports
  • Ecommerce
  • Artificial Intelligence
  • Machine Learning

Dae Wook Kim, Ph.D.
Assistant Professor

Image Dae Wook Kim, Ph.D.

Education:
B.S. Michigan State University
M.S. Syracuse University
Ph.D.  Wright State University, Cybersecurity

Email:  daewook.kim@eku.edu
Phone: 859-622-3492

Research/Academic Interests:

  • Network security and privacy using deep learning and machine learning
  • Developing statistical feature modeling, big data processing, and learning-based detection system to understand, model and make sense of data generated from network-centric systems
  • Internet malware analysis, DNS identity and privacy management, and social computing
  • Teaching classes in artificial intelligence, machine learning, big data and data visualization

Publications:

Dr. Kim’s work can be found in several journals including: 

  • Yu Li, Xiaotian Wang, Dae Wook Kim, Junjie Zhang, and Rui Dai, “Designing Self-Destructing Wireless Sensors with Security and Performance Assurance”, Computer Networks (2018)
  • Dae Wook Kim, Junjie Zhang, “Deriving and Measuring DNS-Based Fingerprints”, Journal of Information Security and Applications 36 (2017): 32-42.
  • Yadong Zhou, Dae Wook Kim, Junjie Zhang, Lili Liu, Huan Jin, Hongbo Jin, and Ting Liu, “ProGuard: Detecting Malicious Accounts in Social-Network-Based Online Promotions”, IEEE Access 5 (2017): 1990-1999.
  • Dae Wook Kim, Peiying Yan, and Junjie Zhang, “Detecting fake anti-virus software distribution webpages”, Computers & Security 49 (2015): 95-106.

Associations/Affiliations/Work History:

  • Association for Computing Machinery (ACM), 2017-present
  • IEEE Computer Society, 2017-present
  • Kentucky Academy of Science, 2018-present
  • Kentucky Cyber Threat Working Group, Kentucky Office of Homeland Security, 2017-pesent
  • Kentucky High Technology Crime Investigation Association (HTCIA), 2017-present
  • Awards/Accolades:
    November's Mentorship of The Month, EKU Undergraduate Research and Creative Endeavors, 2019
  • EKU Faculty Development Grant, 2018
  • EKU COS Junior Faculty Summer Research Award, 2018
  • EKU Faculty Mini-Grant, 2017
  • NVIDIA GPU Grant program recipient, 2017
  • AMAZON AWS Cloud Credits for Research recipient, 2016

Eugene F. Styer, Ph.D.
Assistant Professor

Image Eugene F. Styer, Ph.D.

Education: 

B.S. Lock Haven University
Ph.D.  Georgia Institute of Technology, Computer Science

Email:  Eugene.Styer@eku.edu
Phone:  859-622-1930

Research/Academic Interests:
Robotics, Computer Architecture, Networking

Publications:

Dr. Styer’s work can be found in several journals including:

  • ACM Symposium on Principles of Distributed Computing

Awards/Accolades:

  • Phi Kappa Phi (1983)

Mengkun Yang, Ph.D.
Associate Professor

Image Mengkun Yang, Ph.D.

Education:
B.E.        Sichuan University, Computer Science
M.E.       Sichuan University, Computer Science
Ph.D.     University of Kentucky, Computer Science

Email: Mengkun.Yang@eku.edu
Phone: 859-622-1923

Research/Academic Interests:

  • Overlay network
  • Mobile computing
  • Multimedia systems
  • Network security

Publications:

Dr. Yang’s work can be found in several journals and conference proceedings including: 

  • Enping Li, Mengkun Yang, “Enhancing Teaching Effectiveness in Mobile Application Development with Structured Practice”, Proceedings of IEEE Education Society’s flagship Asia-Pacific Conference, 2019.
  • Jeremiah Bolin, Mengkun Yang, “Cloud Computing: Cost, Security and Performance”, Proceeding of ACM Southeast Conference, 2018.
  • Mengkun Yang, ZongmingFei, "A Novel Approach to Improving Search Efficiency in Unstructured Peer-to-Peer Networks", Journal of Parallel and Distributed Computing, 2009
  • Mengkun Yang, Zongming Fei, “A Cooperative Failure Detection Mechanism for Overlay Multicast”, Journal of Parallel and Distributed Computing, 2007
  • Zongming Fei, Mengkun Yang, “A Proactive Tree Recovery Mechanism for Resilient Overlay Multicast”, IEEE/ACM Transactions on Networking, 2007
  • Mengkun Yang, Zongming Fei, “Assigning Identifications to Nodes in Unstructured Peer-to-Peer Networks: A Novel Approach to Improving Search Efficiency”, Proceedings of the 50th IEEE Global CommunicationsConference, 2007.
  • Mengkun Yang, Zongming Fei, “A Proactive Approach to Reconstructing Overlay Multicast Trees,” Proceedings of IEEE INFOCOM, 2004.
  • Mengkun Yang, Zongming Fei, “A Segmentation-Based Approach to Delivering Multimedia Files in Content Distribution Networks,” in Proceedings of the 39th IEEE International Conference on Communications, 2004

Shuangten Zhang, Ph.D.
Professor & Director of the Digital Forensics and Cybersecurity Institute

Image Shuangteng Zhang, Ph.D.

Education:
B.S. Chongqing University, Measuring Tech. & Instruments   
M.S. Chongqing University, Electrical Engineering
Ph.D. University of Toledo, Electrical Engineering

Email: Shuangteng.zhang@eku.edu
Phone: 859-622-1925                                                                                                                          

Research/Academic Interests:

  • Digital forensics
  • Cybersecurity
  • Signal/image processing
  • Machine learning

Publications:

Dr. Zhang’s work can be found in several journals. Some of his recent publications include: 

  • H. Hendrickson, A. Moses, K. Bradley and S. Zhang,” Known Source Artifacts Examination With Digital Forensic Tools,” Proc. of the American Academy of Forensic Sciences 72nd Annual Scientific Meeting, Anaheim, CA, pp. 479, 2020
  • J. Ralls and S. Zhang, “Steganography Detection Using Machine Learning (ML),” Proc. of the American Academy of Forensic Sciences 72nd Annual Scientific Meeting, Anaheim, CA, pp. 469, 2020
  • C. Smith and S. Zhang, “Instagram™ Forensic Artifacts on Windows® Systems,” Proc. of the American Academy of Forensic Sciences 71st Annual Scientific Meeting, Baltimore, MD, pp. 442, 2019
  • J. Ralls and S. Zhang, “ A New Botnet Command & Control Mechanism Using Ethereum Platform,” Proc. of the American Academy of Forensic Sciences 71st Annual Scientific Meeting, Baltimore, MD, pp. 438, 2019
  • Y. Zhang, E. Salari and S. Zhang, “Reducing blocking artifacts in JPEG compressed images using an adaptive neural network-based algorithm,” Neural Comput & Applic., vol. 22, pp. 3-10, 2013.
  • S. Zhang, “Side-Match Vector Quantizers Using Neural Network Based Variance Predictor for Image Coding,” International Journal of Image Processing, vol. 5, no. 2, pp. 119-129, 2011.
  • S. Zhang and Y. Lu, “Image Resolution Enhancement Via Restoration Using Neural Network,” Journal of Electronic Imaging, vol. 20, 023013, May 2011.
  • S. Zhang, “Image Denoising Using FIR Filters Designed with Evolution Strategies,” Proc. of ISA2011: Third International Workshop on Intelligent System and Applications, vol. 1, pp. 47-50, 2011.
  • S. Zhang and E. Salari, “A Neural Network Method for Image Resolution Enhancement from a Multiple of Image Frames,” Lecture Notes in Computer Science, vol. 6677, pp. 200-208, 2011.

Associations/Affiliations/Work History:

  • Professor, Department of Computer Science, Eastern Kentucky University, Richmond, KY 2012-present
  • Associate Professor, Department of Computer Science, Eastern Kentucky University, Richmond, KY, 2007 – 2012
  • Assistant Professor, Department of Computer Science, Eastern Kentucky University, Richmond, KY, 2002 – 2007
  • Lecturer, Department of Automation, Chongqing, 1993 – 1998