Computer Security

Emre Tokgoz

Assistant Professor 10 Months Email Whitman Hall, Room 216A
Overview
Dr. Emre Tokgoz has extensive teaching, research, and service experience over the 21 years of academic career (15 years of faculty and 8 years of graduate student experience) including industry projects completed by working with manufacturers and health care facilities in the Northeast region of the U.S. that has extensive applications of technology management and innovation. Completed two independent PhD degrees in Mathematics and Industrial Engineering simultaneously with both focusing on operations research and optimization in addition to the four master's degrees. Teaching and research experiences included engineering quantum AI, technology management, traditional AI, computer security systems, computer science, industrial engineering, mathematics, supply chain, biomedical engineering, rocket engine design and development, MBA, and forensics courses. In addition, completed three ABET accreditation visits.
Degrees completed
  • PhD - Mathematics                                                            2006 - 2011 (University of Oklahoma)
  • PhD - Industrial Engineering                                             2010 - 2012 (University of Oklahoma) 
  • MS - Engineering Management with Biomedical Engineering concentration 2020 - 2024 (Johns Hopkins University)
  • MS - Computer Science                                                   2008 - 2010 (University of Oklahoma)   
  • MA - Mathematics                                                            2004 - 2006 (University of Oklahoma)
  • MS - Mathematics (University of Ankara)                       2002 - 2004 (Universisty of Ankara)
Book Publications:
  •  
  • Tokgöz, E. Machine Learning for Cancer and Healthcare Systems Research, accepted for publication by Taylor & Francis in April of 2026.
  • Tokgöz, E, Marra, S. and Karakol, P. Human Brain: A review of Selected Scientific and Psychological Factors, accepted for publication by CRC Press – Taylor and Francis, June 2026
  • Tokgöz, E. Six Sigma for Continuous Improvement in Cybersecurity, A Guide for Students and Professionals, Synthesis Lectures on Engineering, Science, and Technology, Springer Cham, June 2025. https://link.springer.com/book/9783031910296
  • Tokgöz, E., Quality and Lean Six Sigma for Engineering Technicians, Synthesis Lectures on Engineering, Science, and Technology, Springer Cham, 978-3-031-44033-5, 2024: https://link.springer.com/book/9783031440328
  • Tokgöz, E. & Marina Carro(2023). Cosmetic and Reconstructive Facial Plastic Surgery: A Review of Medical and Biomedical Engineering and Science Concepts, Springer Nature, ISBN #: 978-3-031-31168-0. Description: Peer-reviewed monograph book covering AI, deep learning, machine learning, scientific, medical, and biomedical engineering aspects of total knee surgery that covers approximately 1,000 articles. Website: https://link.springer.com/book/10.1007/978-3-031-31168-0
  • Tokgöz, E, Levitt, Sarah J,  Sosa, Diane S, Carola, Nicholas A, and Patel, Vishal M (2023). Total Knee Arthroplasty: Medical and Biomedical Engineering and Science Concepts, Springer Nature. ISBN: 978-3-031-31100-0. Description: Peer-reviewed monograph book covering AI, deep learning, machine learning, scientific, medical, and biomedical engineering aspects of total knee surgery that covers approximately 1,000 articles.  Website: https://link.springer.com/book/10.1007/978-3-031-31100-0
  • Tokgöz, E. (with contributions of Alessia Truden) (2022). Total Hip Arthroplasty: Medical and Biomedical Engineering and Science Concepts. Springer Nature.  Description: Peer-reviewed monograph covering AI, deep learning, machine learning,scientific, medical, and biomedical engineering aspects of total hip surgery that covers approximately 1,000 articles. Website: https://link.springer.com/book/10.1007/978-3-031-08927-5
  • Tokgöz, E. Quality & Lean Six Sigma Applications for Industrial Engineers, Springer Nature, Switzerland. 2024, https://link.springer.com/book/9783031557392.
Recent/Selected Publications:
2026:
  1. E. Tokgoz, “A Quantum Kernel Logistic Regression Algorithm Using Discrete Optimization”, accepted to appear in CAC'26 Conference Proceedings, Springer Nature, March 25, 2026.
  2. E. Tokgoz, E., M.Bhattarai “A Production Scheduling Framework Using Machine Learning in Hybrid Manufacturing" accepted to appear in CAC'26 Conference Proceedings, Springer Nature, March 5, 2026.
  3. E. Tokgoz, N. Ahmed, Design of a Dynamically Shape Shifting Rocket Engine Using Artificial Intelligence, accepted to appear in AIR-RES'26 Conference, Springer Nature, February 26, 2026.
  4. E. Tokgoz, I. Bichindaritz, and G. Solano, The Impact of AI on Research & Graduate Education. 2026 ASEE Spring Middle Atlantic Section Conference Proceedings, University of Delaware, DE, March 27-28, 2026.
  5. E. Tokgoz, S. Desiboyina, Network of Quantum Convolutional Neural Networks, accepted to appear in CAC'26 Conference Proceedings, Springer Nature, February 26, 2026.
  6. E. Tokgoz, L. Baah, An Integrated Quantum PCA and Network of Quantum Neural Network Approach with an Application to Kidney Cancer, accepted to appear in AIR-RES'26 Conference, Springer Nature, February 26, 2026.
  7. E. Tokgoz, K. Vani, Multi-Criteria Network Routing Optimization Using Machine Learning Using Authentic and Simulated Datasets, accepted to appear in CAC'26 Conference Proceedings, Springer Nature, February 26, 2026.
  8. E. Tokgoz, A. Susoglu, Impact of Mobile Health Apps Present in Social Media on Dental Care Choices of University Students, IEEE- ISEC'26 Conference, accepted to appear in the IEEE Proceedings, Princeton, NJ, March 13, 2026.
  9. E. Tokgoz, A. Susoglu, University Students' Trust to Dental Care Information Shared in Social Media, IEEE- ISEC'26 Conference, accepted to appear in the IEEE Proceedings, Princeton, NJ, March 13, 2026.
  10. E. Tokgoz, A. Susoglu, Undergraduate Students' Perceptions, Accessibility, and Trust of Dental Care Information on Social Media, IEEE-ISEC'26 Conference, accepted to appear in the IEEE Proceedings, Princeton, NJ, March 13, 2026.
  11. Tokgoz, E., Awudu I., Trafalis, T.Profit Maximization of Ethanol Distribution on Manifold Surfaces: A Stochastic Non-Linear Programming Approach, Logistics Journal, MDPI, accepted to appear, March 2026.
  12. Tokgoz, E., Chapter 8: Future of Malware Analysis, Book titled Mastering Malware and Analysis: A Comprehensive Guise to Hybrid Malware Analysis and Virtual Sandboxing, Editors: B. Pandey, D.B. Acharya, and B. Divya, Apple Academic Press, 2026 (https://www.appleacademicpress.com/mastering-malware-development-and-analysis-a-comprehensive-guide-to-hybrid-malware-analysis-and-virtual-sandboxin/9781779646224)
  13. Bichindaritz I., Tokgoz E., and Solano G, An Analysis of Faculty and Students’ Expectations for AI-assisted Technologies in Research and Creative Activities, accepted to appear in the Proceedings of CSEDU conference, Spain.
  14. Solano G., Bichindaritz I., and Tokgoz E., The AI Balancing Act: Understanding the Role of AI Tools in Graduate Student Research and How Faculty Can Support Its Ethical Practice, Accepted to EdMedia 2026 Edinburgh Conference as a Full Research based paper to be held in Edinburgh, Scotland, United Kingdom, May 25-29, 2026. https://www.aace.org/conf/edmedia
2025:
  1. Tokgoz, E. and Desiboyina S.,Network of Quantum Neural Networks, accepted to appear in the Springer Nature proceedings of the 2025 CSCI conference’s research track on Artificial Intelligence, October 2025.
  2. Desiboyina S. and Tokgöz, E., Facial Recognition by Using Ensemble and Network of Quantum Convolutional Neural Network,accepted to appear in the Springer Nature proceedings of the 2025 CSCI conference’s research track on Signal & Image Processing, Computer Vision & Pattern Recognition,October 2025.
  3. Tokgoz, E., Artificial Bee Colony Optimization Techniques’ Utilization for Intrusion Detection Systems’ Analysis, 4th IEEE International Conference on AI in Cybersecurity (ICAIC) proceedings, February 2025. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848880.
  4. Tokgoz, E., Joseph J., Molina J., Ahmed T., and Duarte S., Xiang A., Cybersecurity Students’ Choices of Learning Strategies for Covering Major-specific Concepts, 2025 ASEE Annual Conference Proceedings, Montreal, Canada.
  5. Tokgoz, E., Xiang A., Molina J., Joseph J., Duarte S., and Ahmed T., Social Factors Impacting Cybersecurity Students’ Learning and During Decision Making the Coverage of Major-specific Concepts, 2025 ASEE Annual Conference Proceedings, Montreal, Canada.
  6. Tokgoz, E., Ahmed T., Duarte S., Joseph J., Xiang A., and Molina J., Environmental Factors Impacting Cybersecurity Students’ Major-Specific Conceptual Learning, 2025 ASEE Annual Conference Proceedings, Montreal, Canada.
  7. Tokgoz, E., Duarte S., Xiang A., Molina J., Ahmed T. and Joseph J., Factors Impacting Cybersecurity Students' Classroom Success with Their Worries Towards Success, 2025 IEEE Integrated STEM Education Conference (ISEC), Article ID # 1571114248.
  8. Tokgoz, E., Molina J., Joseph J., Duarte S., Xiang A., and Ahmed T., Professors' Impact on Cybersecurity Students' Learning, 2025 IEEE Integrated STEM Education Conference (ISEC), Article ID # 1571114251.
  9. Tokgoz, E., Joseph J., Ahmed T., Molina J., Duarte S., and Xiang A., Risk Assessment Factors, Anxiety, and Cyber-incident Experiences of Cybersecurity Students, 2025 IEEE Integrated STEM Education Conference (ISEC), Article ID # 1571114254.
  10. Susoglu A. and Tokgoz, E., Impact of Social Media Influencers on Users' Dental Care Choices, 2025 IEEE Integrated STEM Education Conference (ISEC), Article ID # 1571111250.
  11. Tokgoz, E., Recent Trends in Technology Choices of STEM Majors for Solving Calculus Questions and Changes Over Years on Relevant Decision Making, accepted to appear in 2025 ASEE Annual Conference, Montreal, Canada.
  12. Tokgoz, E., An Analysis of STEM Students’ Ability to Interrelate Derivative, Integral, Power Series, and Function Concepts, accepted to appear in 2025 ASEE Annual Conference, Montreal, Canada.
  13. Tokgoz, E., Bichindaritz, I, Solano, G., and Olmstead, K., The Impact of AI on Research & Graduate Education, accepted to appear in Spring 2025 ASEE Middle Atlantic Section Conference Proceeding.
Prior to 2025:
  1. Tokgoz, E., A two-factor Markov process approach for network risk measurements under Stochastic processing, IEEE LISAT Conference Proceedings, ID #:777685, Nov. 2024. https://ieeexplore.ieee.org/abstract/document/10808076
  2. Tokgoz, E. and Ahmed, N., A rocket engine retrofit design allowing orbital and space traveling capabilities, 2024 IEEE LISAT Conference Proceedings, Article ID #: 777681, November 2024.
  3. Tokgoz, E., Musafer, H., Faezipour, M., and Mahmood, A. (2023) Incorporating Derivative-Free Convexity with Trigonometric Simplex Designs for Learning-Rate Estimation of Stochastic Gradient-Descent Method. Electronics 2023, 12, 419. https://doi.org/10.3390/electronics12020419
  4. Musafer H, Tokgoz, E., and Mahmood A. High-dimensional normalized data profiles for testing derivative-free optimization algorithms. PeerJ Computer Science 8:e960, 2022, https://doi.org/10.7717/peerj-cs.960
  5. Musafer H. and Tokgoz E. (2023) Facial Wrinkle Detection by Using a Deep Learning with an Efficient Optimizer, ISBN #: 978-3-031-31168-0, Cosmetic and Reconstructive Facial Plastic Surgery: A Review of Medical and Biomedical Engineering and Science Concepts, Springer Publishing.
  6. Tokgoz, E. (2023) Artificial Intelligence, Deep Learning, and Machine Learning Applications in Total Hip Arthroplasty, Total Hip Arthroplasty: Medical and Biomedical Engineering and Science Concepts, ISBN #: 9783031089268, Springer International Publishing.
  7. Tokgoz, E., Mahjoub, S., El Taeib, T., and Bachkar, K. Supply network design with uncertain demand: Computational cooperative game theory approach using distributed parallel programming. Computers & Industrial Engineering, Elsevier, 167, 108011, 2022.
  8. Tokgoz, E. (2022), An Analysis of Conceptual Integral Knowledge of STEM Majors, Proceedings of 2022 ASEE Annual Conference & Exposition, Minneapolis, MN.
  9. Tokgoz, E., Tekalp E. N., Tekalp S. B., Tekalp H., Scarpinella, S. E., and Giannone, M. (2022), Analysis of STEM Students Accumulating Calculus Knowledge to Graph a Function, Proceedings of 2022 ASEE Annual Conference & Exposition, Minneapolis, MN.
  10. Tokgoz, E., Tekalp E. N., Tekalp S. B., Tekalp H., Scarpinella S. E., and Giannone, M. (2022), STEM Students’ Technology Choice Differences for Solving a Graphing Question - Two Different Institution Students’ Preferences for Solving a Graphing Question, Proceedings of 2022 ASEE Annual Conference & Exposition, Minneapolis, MN.
  11. Tokgoz, E., Tekalp E. N., Tekalp S. B., Tekalp H., Scarpinella, S. E., and Giannone, M. (2022), An Analysis of STEM Students’ Integral and Area Under the Curve Knowledge, Proceedings of 2022 ASEE Annual Conference & Exposition, Minneapolis, MN.
  12. Tokgoz, E., Scarpinella, S. E., and Giannone, M. (2021, July), Analysis of STEM Students’ Ability to Respond to Algebra, Derivative, and Limit Questions for Graphing a Function, 2021 ASEE Annual Conference, https://peer.asee.org/36685
  13. Tokgoz, E., Tekalp, E. N., Tekalp S.B, and Tekalp, H. A. (2021, July), Undergraduate STEM Students’ Comprehension of Function Series and Related Calculus Concepts. 2021 ASEE Annual Conference, https://peer.asee.org/37950
  14. Tokgoz, E., Scarpinella, S. E., and Giannone, M. (2021, July), Technology Decisions of Engineering Students for Solving Calculus Questions 2021 ASEE Annual Conference, https://peer.asee.org/37830
  15. Tokgoz, E., Awudu Iddrisu, Kuppusamy Saravanan, Advancing Transportation Routing Decisions Using Riemannian Manifold Surfaces, Wiley-Hindawi, 2020. https://www.hindawi.com/journals/jat/2020/2098495/
  16. Tokgoz, E., Tekalp E. N., Tekalp S. B., Tekalp H. A., Undergraduate STEM Students’ Role in Making Technology Decisions for Solving Calculus Questions and the Impact of These Decisions on Learning Calculus, 127th Annual ASEE Conference Proceedings, Computer Science Division, paper ID # 29730, Montreal, Canada, 2020.
  17. Tokgoz, E., Tekalp S. B., Tekalp E. N., Tekalp H. A., Qualitative and Quantitative Analysis of University Students’ Ability to Relate Calculus Knowledge to Function Graphs, 127th Annual ASEE Conference Proceedings, Mathematics Division, paper ID # 29726, Montreal, Canada, 2020.
  18. Tokgöz, E. “STEM Majors’ Ability to Calculate Taylor Series’ Derivative & Integral”, ASEE Annual Conference Proceedings – Mathematics Division, paper ID # 25091, 2019.
  19. Tokgöz, E. “Undergraduate Industrial Engineering Majors’ Software Preferences for Solving Statistical Process Control and Operations Research Questions”, ASEE Annual Conference Proceedings – Industrial and Systems Engineering Division, paper ID # 24769, 2019.
  20. Bacchiocchi, L.,Greene, E. and Tokgöz, E. “WIP: Youth Camp Utilization and Camper-Flow Improvement by Using Simulation”, 2018 Society for Modeling and Simulation International, SpringSim, Baltimore, MD, 15-18 April 2018.
  21. Tokgöz, E. “Increasing High School Students’ Interest in Industrial Engineering through a Summer Camp”, EcoProduction. Environmental Issues in Logistics and Manufacturing, Editors: P. Pawlewski, P. Hoffa-Dabrowska, P. Golinska-Dawson, K. Werner-Lewandowska, Springer, 2018.
  22. Tokgöz, E. & Ceyhan, H.“University Students Ability to Interconnect the Calculus Concepts & Function Graphing”, ASEE Annual Conference Proceedings – Mathematics Division, paper ID # 21382, 2018.
  23. Tokgöz, E. “Engineering Majors’ Cognitive Function Differentiation Ability”, ASEE Annual Conference Proceedings – Mathematics Division, paper ID # 21381, 2018.
  24. Tokgöz, E. “Conceptual Power Series Knowledge of STEM Majors”, ASEE Annual Conference Proceedings – Mathematics Division, paper ID # 21246, 2018.
  25. Tokgöz, E. “Industrial Engineering and Simulation Experience Using Flexsim Software”, ASEE Computers in Education (COED) Journal, vol. 8, No 4, 2017.
  26. Tokgöz, E. & Ceyhan, H. “Integral Concept & Decision Making: Do the STEM Majors Know When to Use Numerical Methods for Integral Approximation?” ASEE Annual Conference Proceedings, paper ID # 17833, 2017.
  27. Tokgöz, E. “Technology Choices of Undergraduate Engineering Students for Solving Calculus Questions”, ASEE Annual Conference Proceedings, paper ID # 17810, 2017.
  28. Tokgöz, E. & Trafalis, T.B. “2-Facility Manifold Location Routing Problem” Optimization Letters, Springer, 11: 389, 2017. doi:10.1007/s11590-015-0984-2
  29. Tokgöz, E. “Evaluation of Engineering & Mathematics Majors' Riemann Integral Definition Knowledge by Using APOS Theory,” ASEE Annual Conference Proceedings, paper ID# 14461, 2016.
  30. Tokgöz, E. “STEM Majors’ Ability to Relate Integral and Area Concepts,” ASEE Annual Conference Proceedings, paper ID # 14462, 2016.
  31. Tokgöz, E., Awudu, I. & Trafalis, T.B. “A Single-Facility Manifold Location Routing Problem with an Application to Supply Chain Management and Robotics” Lecture Notes in Computer Science 9432, Editors P. Pardalos et al., Springer International Publishing Switzerland, 2015.
  32. Tokgöz, E. & Kumin, H. “Condense Mixed Convexity & Optimization with an Application in Data Service Optimization,” Lecture Notes in Computer Science 9432, Editors P. Pardalos et al., 197-208, Springer International Publishing Switzerland, 2015.
  33. Tokgöz, E. & Gualpa, G. C. “STEM Majors’ Cognitive Calculus Ability to Sketch a Function Graph,” ASEE Annual Meeting Proceedings, Mathematics Division, Seattle, Washington, Paper I.D. #: 12661, 2015.
  34. Tokgöz, E. & Trafalis, T.B. " Manifold Location Routing Problem with Applications in Network Theory” book chapter, Models, Algorithms, and Technologies for Network Analysis, Editors V. A. Kalyagin, P. A. Koldanov and P. M. Pardalos, NET 2014, Springer, 2015.
  35. Tokgöz, E. “Analysis of STEM Majors’ Calculus Knowledge by Using APOS Theory on a Quotient Function Graphing Problem,” ASEE Annual Meeting Proceedings, Mathematics Division, Seattle, Washington, Paper I.D. #: 12664, 2015.
  36. Tokgöz, E. “Undergraduate and Graduate STEM Majors’ Technology Preference for Solving Calculus Related Questions,” ASEE Annual Meeting Proceedings, Seattle, Washington, Paper I.D. #: 12668, 2015
  37. Tokgöz, E.Alwazzi, S. & Theodore, T.B. "A heuristic algorithm to solve the single-facility location routing problem on Riemannian surfaces," Computational Management Science Journal, Springer 12, 297-415, 2015.
  38. Tokgöz, E. & Kumin, H. “Mixed Convexity and Optimization Results for an (S-1, S) Inventory Model Under a Time Limit on Backorders,” Computational Management Science Journal, Springer, 9(4), pg. 417-440, Nov. 2012.
  39. Tokgöz, E. “Numerical Method/Analysis Students Derivative Concept Knowledge,” Int. J. New Trends in Educ. & Their Implic., 3(4),pg. 125-134, 2012.
  40. Tokgöz, E. & Trafalis, T. B. “Optimization of an SVM QP Problem Using Mixed Variable Nonlinear Polynomial Kernel Map and Mixed Variable Unimodal Functions,” WSEAS Trans. Sys. & Control, 7(1), pg. 16-25, 2012.
  41. Tokgöz, E. & Trafalis, T. B. “Mixed Convexity and Optimization of an SVM QP Problem for Nonlinear Polynomial Kernel Maps,” Proceed. 15th WSEAS Int. Conf. Comp., Corfu, Greece, 2011
  42. Tokgöz, E. Nourazari, S. & Kumin, H.  "Convexity and Optimization of Condense Discrete Functions," 2011 Symposium on Experimental Algorithms, Lecture Notes in Computer Science, Springer,6630, pg. 33-42, 2011.
  43. Tokgöz, E. & Kumin, Hillel. “A Mixed Integer Convexity Result with an Application to an M/M/s Queueing System,” Int. J. Open Prob. Comp. Sci. & Math., 3(5), 2010.

 

Courses Taught

Spring 2026
Computer Security Department
  • SST 115 – Digital Forensics I 
  • SST 218 – Digital Forensics II  
  • SST 230 – Biometrics and Identity Theft 
  • CPS 201 – Digital Systems & Security
  • CPS 301 – Biometric Recognition
Summer 2025
Computer Security Department
  • SST 230 – Biometrics and Identity Theft (3 credits)
  • CPS 201 – Digital Systems & Security (3 credits)
Spring 2025
Computer Security Department
  • SST 115 – Digital Forensics I (3 credits)                                                    (2 sections)
  • SST 217 – Digital Forensics II (3 credits)                                                   (2 sections)
  • CPS 201 – Digital Systems & Security (3 credits)                                      (1 section)

Fall 2024
Computer Security Department
  • SST 115 – Digital Forensics I (3 credits)                                                    (2 sections)
  • SST 217 – Digital Forensics II (3 credits)                                                   (1 section)
  • SST 218 – Digital Forensics III (3 credits)                                                  (1 section)
  • CPS 201 – Digital Systems & Security (3 credits)                                      (1 section)
Spring 2024
Computer Security Department
  • SST 115 – Digital Forensics I (3 credits)                                                    (2 sections)
  • SST 217 – Digital Forensics II (3 credits)                                                  (3 sections)
  • CPS 201 – Digital Systems & Security (3 credits)                                     (1 section)
Fall 2023
Computer Security Department
  • SST 115 – Digital Forensics I (3 credits)                                                    (1 section)
  • SST 217 – Digital Forensics II (3 credits)                                                  (2 sections)
Computer Science
  • CSC 111 – Introduction to Programming I (3 credits)                                (1 section)                   
  • CSC 211 – Introduction to Programming II (3 credits)                               (1 section)                   
Engineering Technology Management (Graduate Program)
  • ETM 501 – Engineering Quality Management & Reliability (3 credits)    (1 section)                   
Emre Tokgoz
Last Modified 12/12/25