Computer Security

Emre Tokgoz

Visiting Assistant Professor 10 Month Email Whitman Hall, Room 216A
Overview
Dr. Emre Tokgoz has extensive teaching, research, and service experience over the 20 years of academic career (12 years of faculty and 8 years of graduate student experience) including industry projects completed by working with manufacturers and health care providers 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. Teaching and research experiences included engineering technology management, machine learning, 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 - Computer Science                                                               2008 - 2010 (University of Oklahoma)    
  • MA - Mathematics                                                                       2004 - 2006 (University of Oklahoma)
  • MS - Mathematics (University of Ankara)                                  2002 - 2004 (Universisty of Ankara)
  • MS - Engineering Management with Biomedical Engineering concentration 2020 - 2024 (Johns Hopkins University)
Book Publications:
  •  
  • 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:
  1. Tokgöz, 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
  2. Musafer H, Tokgöz, 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
  3. Musafer H. and Tokgöz 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.
  4. Tokgöz, 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.
  5. Tokgöz, 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.
  6. Tokgöz, E. (2022), An Analysis of Conceptual Integral Knowledge of STEM Majors, Proceedings of 2022 ASEE Annual Conference & Exposition, Minneapolis, MN.
  7. Tokgöz, 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.
  8. Tokgöz, 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.
  9. Tokgöz, 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.
  10. Tokgöz, 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
  11. Tokgöz, 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
  12. Tokgöz, 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
  13. Tokgöz, E., Awudu Iddrisu, Kuppusamy Saravanan, Advancing Transportation Routing Decisions Using Riemannian Manifold Surfaces, Wiley-Hindawi, 2020. https://www.hindawi.com/journals/jat/2020/2098495/
  14. Tokgöz, 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.
  15. Tokgöz, 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.

 

Courses Taught

Spring 2024
Computer Security Systems
  • 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 Systems
  • 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)                   
Last Modified 2/2/22