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Garrett Goodman, Ph.D.

Education

• Ph.D., Computer Science & Engineering, Wright State University, Dec. 2020
• M.S., Computer Science, Wright State University, Dec. 2018
• B.S., Computer Science, Wright State University, Apr. 2016

Research Interests

• Fuzzy logic
• Health informatics
• Applied machine learning
• Assistive technologies in the Healthcare domain
• Biophysiological wearable sensors
• Multidisciplinary research, e.g., Computer Science and Social Work
• Machine Learning algorithm optimization
• Internet of things

Professional Experience

• Assistant Teaching Professor
  ÍÃ×ÓÏÈÉú University - Department of Computer Science and Software Engineering
  Jan 2022 - Present
• Visiting Assistant Professor
  ÍÃ×ÓÏÈÉú University - Department of Computer Science and Software Engineering
  Jan 2021 - Jan 2022
• Graduate Research Assistant
  Wright State University: Center of Assistive Research Technologies
  Jan 2019 - Dec 2020
  • Dissertation Title: Design of a Novel Wearable Ultrasound Vest for Autonomous Monitoring of the Heart Using Machine Learning
  • Advisor: Dr. Nikolaos Bourbakis
  • Committee: Dr. Nikolaos Bourbakis, Dr. Soon Chung, Dr. Yong Pei, Dr. Iosif Papadakis Ktistakis, Dr. Konstantina Nikita, and Dr. Anthony Pothoulakis
• Adjunct Professor
  Wright State University
  Intro to Software Engineering CEG 4110/6110
  Fall 2019
• Graduate Teaching Assistant
  Wright State University
  Intro to Software Engineering CEG 4110/6110
  Spring 2019
  Intro to Programming CS 1180
  Fall 2016
• Graduate Research Assistant
  Wright State University: Data Science for Healthcare Lab
  Sept 2016 - Dec 2018
  • Thesis Title: The Feasibility of Dementia Caregiver Task Performance Mea surement Using Smart Gaming Technology
  • Advisor: Dr. Tanvi Banerjee
  • Committee: Dr. Tanvi Banerjee, Dr. Amit Sheth, Dr. William Romine, and Dr. Jennifer Hughes
• Autonomy Technology Research Center Intern
  Air Force Research Labs, Sensors Directorate
  May 2018 - Sept 2018
• Associate Software Development Consultant
  Illumination Works LLC.
  May 2016 - Sept 2016
• Teaching Assistant
  Wright State University
  Intro to Programming CS 1180
  Spring 2016
• Computer Science Help Room Assistant
  Wright State University
  May 2015 - Apr 2016

Honors & Awards

• BIBE Volunteer Service Award
  Oct 2020
• ICTAI Outstanding Service Recognition Award
  Nov 2019
• BIBE Outstanding Service Recognition Award
  Oct 2019
• WPAFB Tuition Scholarship
  Fall 2018 - Summer 2019
• Full Tuition and Scholarship for Ph.D. Degree
  Spring 2019
  • Funded by the Center of Assistive Research Technologies
  • Wright State University
• Excellence in Teaching for Teaching Assistant Award
  Spring 2017
• Full Tuition and Scholarship for Master’s Degree
  Fall 2016
  • Funded by the National Institute of Health
• Dean’s Showcase Nominee
  Spring 2016
  • One of three nominated senior project teams out of 28
• Dean's List Highest Honors
  Spring 2012
• Dean's List Honors
  Fall 2011

Publications

Journals

• Britzolaki, A., Shimizu, C., Goodman, G., Bahamonde, K., Ktistakis, I. P., Pitychoutis, P. ( In Preparation). ScoreMore: A New Open-Source Behavioral Software for Remote Training and Assessment of Laboratory Animal Behavior. To be submitted to Behavioural Pharmacology.
• Hughes, J. C., Evans, J., Goodman, G., Oliver, A., Banerjee, T., Hughes, J. G., Lawhorne, L. (2020). A Usability Analysis on the Development of Caregiver Assessment Using Serious Gaming Technology (CAST) Version 2.0: A Research Update. Journal of Technology in Human Services, 1-24.
• Hughes, J. C., Romine, W., Banerjee, T., Goodman, G., Edwards, A., Hughes, J. G., Lawhorne, L. (2020). Development of a Daily Use Caregiver Sleep Sur vey (DUCSS). GeroPsych.
• Romine, W., Banerjee, T.,  Goodman, G. (2019). Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures. Sensors, 19(6), 1417.
• Hughes, J. C., Banerjee, T., Goodman, G., Lawhorne, L. (2017). A pre liminary qualitative analysis on the feasibility of using gaming technology in caregiver assessment. Journal of Technology in Human Services, 35(3), 183- 198.

Conferences

• Flores, A., Hall, B., Carter, L., Lanum, M., Narahari, R., Goodman, G. (2021, November). Verum Fitness: An AI Powered Mobile Fitness Safety and Improvement Application. In 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 980-984). IEEE.
• Alexiou, M., Ktistakis, I. P., Goodman, G. (2021, September). Towards a Masked Face Recognition Algorithm: A Novel Rule Based Hybrid Algorithm. In 2021 IEEE 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) (pp. 1-6). IEEE.
• Goodman, G., Hirt, Q., Shimizu, C., Ktistakis, I. P., Alamaniotis, M., Bourbakis, N. (2020, November). Methods for Prediction Optimization of the Constrained State-Preserved Extreme Learning Machine. In 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 639- 646). IEEE.
• Goodman, G., Bourbakis, N. (2020, October). Predicting the Change in State of the Human Heart Based on Synthetic Heart Chamber Volume Data. In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 655-661). IEEE.
• Sudharshan, J., Goodman, G., Bourbakis, N. (2020, October). Smart Shoes for Temporal Identification and Corrections to Assist People with Ab normal Walking Patterns. In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 929-933). IEEE.
• Goodman, G., Shimizu, C., Ktistakis, I. P. (2019, November). Constrained State-Preserved Extreme Learning Machine. In 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 752-759). IEEE.
• Goodman, G., Bourbakis, N. (2019, October). A Wearable Ultrasound Methodology for Creating a Real Time Near 3D Model of the Heart. In 2019, IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 539-546). IEEE.
• Goodman, G., Banerjee, T., Romine, W., Shimizu, C., Hughes, J. (2019, June). Caregiver Assessment Using Smart Gaming Technology: A Feasibility Study. In 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). IEEE.

Book Chapters

• Ktistakis, I. P., Goodman, G., Britzolaki, A. (2022). Applications of AI in Healthcare and Assistive Technologies. In Artificial Intelligence and Assistive Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis. Springer. Accepted.
• Ktistakis, I. P., Goodman, G., Shimizu, C. (2021). Methods for Optimizing Fuzzy Inference Systems. In Advances in Data Science: Methodologies and Applications (pp. 97-116). Springer, Cham.
• Goodman, G., Bourbakis, N. (2020). A Comparative Survey on State-of-the-Art Medical Imaging Methodologies for Heart Monitoring. In Advances in Medicine and Biology (Vol. 168, pp. 183-204). New York: Nova Science.

Abstracts

• Britzolaki, A., Shimizu, C., Goodman, G., Bahamonde, K., Ktistakis, I. P., Pitychoutis P. M. (2021, April). A New Open-Source Behavioral Software for Remote Training and Assessment of Laboratory Animal Behavior: Validation in the Neurobiology Laboratory (BIO415L) course. Brother Joseph W. Stander Symposium, University of Dayton.

Student Supervision

Personal Student Research Advising

• Stephanie Birch - ÍÃ×ÓÏÈÉú University
  Bachelors (Data Science and Statistics)
  Summer 2021 - Present
• Michalis Alexiou - Wright State University Fall 2020
  Ph.D. candidate (Computer Science & Engineering)
  Fall 2020 - Fall 2021
• Verum Fitness Team
  MUCAT undergraduate project competition team - ÍÃ×ÓÏÈÉú Uiversity
  Spring 2021 - Present
  • Brandon Hall (Software Engineering)
  • Asia Flores (BioEngineering, minoring in Electrical Engineering)
  • Luke Carter (Chemical Engineering, minoring in Environmental Engineering)
  • Rishi Narahari (Finance and Entrepreneurship)
  • Maxwell Lanum (Interactive Media Studies and Entrepreneurship)

Master's Thesis Committee Member

• Master of Science in Computer Science
  • Benjamin Maldonado - ÍÃ×ÓÏÈÉú University

Courses Taught

• Software Quality Assurance and Testing
  CSE 321 - ÍÃ×ÓÏÈÉú University
  Spring 2022
  • Junior level core course for Software Engineering majors and an elective for Computer Science majors
  • Covered verification, validation, and testing principles
  • Testing techniques included graph-based, logic-based, input space partitioning, and syntax-based
  • Discussed creating test plans and regression testing
• Object-Oriented Programming
  CSE 271 - ÍÃ×ÓÏÈÉú University
  Spring 2021, Fall 2021, & Spring 2022
  • Second course in the Freshman introductory programming sequence for multiple majors
  • Covered Object-Oriented topics such as classes, inheritance, interfaces, abstract classes, etc.
  • Discussed recursion for problem solving
  • Presented sorting and searching algorithms
  • Covered graphical user interfaces and basic graphics
  • Weekly labs, quizzes, periodic projects, and two exams were used to reinforce the covered topics
• Introduction to Software Engineering
  CEG 4110/6110 - Wright State
  Fall 2019
  • Senior and Graduate level course for Computer Science majors
  • Constructed the class to follow current software engineering paradigms
  • The course included ethics, software lifecycles, requirements, UML design, software analysis, testing, design patterns, and maintenance
  • Homeworks, a final team project, and a midterm exam was used to reinforce the covered topics
  • Final team project used mobile development to make a mobile app which was designed using the covered topics

Service

Professional

• Reviewer
  EAI Transactions on Bioengineering and Bioinformatics
  2020-2022
• Area Chair
  33rd International Conference on Tools with Artificial Intelligence, Online
  2021
• Session Chair
  20th International Conference on Bioinformatics and Bioengineering, Online
  2020
  • Was the chair of the BIO6, BM17, and Poster sessions
• Reviewer
  Journal of Rare Diseases Research & Treatment
  2020
• Area Chair
  20th International Conference on Bioinformatics and Bioengineering, Online
  2020
• Session Chair
  31st International Conference on Tools with Artificial Intelligence, Portland, OR
  2019
  • Was the chair of the Neural Networks 2, NLP/NLU 4, and Machine Learning 5 sessions
• Co-Financial and Registration Chair
  31st International Conference on Tools with Artificial Intelligence, Portland, OR
  2019
  • Co-managed a budget of $250,000
• Co-Publicity Chair
  31st International Conference on Tools with Artificial Intelligence, Portland, OR
  2019
  • Co-managed the call for papers and the invitations to various universities and relevant industry to the conference
• Publicity Chair
  19th International Conference on Bioinformatics and Bioengineering, Athens, GR
  2019
  • Managed the call for papers and the invitations to various universities and relevant industry to the conference

Departmental

Co-advising the Programming Club
Fall 2021 - Present

• Hold meetings for the club to complete difficult problems and practice for competition
• Coordinating teams to compete in the Association for Computing Machinery (ACM) International Collegiate Programming Contest (ICPC)

University

ÍÃ×ÓÏÈÉú University Varsity eSports Coach
Fall 2021 - Present

• Spring 2022: Held tryouts and coached the Junior Varsity Halo: Infinite team
• Fall 2021: Coached the Varsity Counter-Strike: Global Offensive team

ÍÃ×ÓÏÈÉú University Center of Assistive Technology
Design Innovation Challenge Team Advisor
Spring 2021 - Present

• Spring 2021: Advised the Verum Fitness team and achieved a publication at the 2021 International Conference on Tools with Artificial Intelligence (ICTAI)
• Spring 2022: Advised the WDBM team.

ÍÃ×ÓÏÈÉú University Smash Club Advisor
Spring 2022 - Present

• Assisting in planning and approving monetary transactions for the club

Community

Event and Food Pantry Volunteer
Sept 2018 - May 2019

• Volunteered at the Raider Food Pantry and the campus events located at Wright State University

Funding

Trans-Atlantic Platform for Social Sciences and Humanities
Trans-Atlantic Platform Recovery, Renewal and Resilience in a Post-Pandemic World

• Project Title: Explainable social media tracking using AI to demonstrate health inequality and disparity arising from global health response to COVID-19 (SAIHR)
• Project international Cooperation: USA, UK, South Africa, and Brazil
• Funding amount: $200,000
• Funding Agency: National Science Foundation (NSF)
• Proposed start date: March 1st, 2022
• Project duration: 2 years
• Status: Proposal submitted

Invited Speaking

Presented to the Office of Naval Research at Purdue University Department of Nuclear Engineering on January 23, 2019

• Co-Presented a colleague’s work on document security

Invited Presenter at Wright State University Boonshoft School of Medicine on October 15, 2018

• Presented to medical students the research methodologies and technology behind the Caregiver Assessment using Serious Technology project

Invited Presenter at Wright State University College of Liberal Arts Research Presentations on March 9, 2018

• Presented the technological portion of the project to professors and administration of the College of Liberal Arts, gave a full-length demonstration of the application, and answered technology related questions pertaining to the project

Invited Speaker to the Fall 2017 Machine Learning Class at Wright State University on November 9, 2017

• Discussed the Dementia caregiver burnout project which utilizes a Machine Learning technique called a Fuzzy Inference System (FIS). Also, provided an in-depth example of an FIS, how to choose membership functions, create rules, and examine the results

Presenter at Wright State University Celebration of Research, Scholarship, and Activities on April 21, 2017

• Presented the Dementia caregiver burnout project’s computer science aspect to the general public. Went in-depth about the FIS machine learning technique and results

Skills

• Machine & Deep Learning Toolkits
  • Python - numpy, pandas, sklearn, keras, tensorflow
  • MATLAB - Statistics and Machine Learning Toolbox, Deep Learning Toolbox, Global Optimization Toolbox, Curve Fitting Toolbox
• Programming
  • Python, MATLAB, Java, C#, JavaScript, HTML, C, and C++
• Software
  • Microsoft Office, TeXworks, Visual Studio, Android Studio, Netbeans, Eclipse, Anaconda, and Git
• Technologies
  • Empatica E4 Sensor, Polar H7 Heart Rate Sensor, Jawbone UP3 Heart Rate Sensor, Android Smartphones and Tablets, and Windows Computers
• ÍÃ×ÓÏÈÉúhip
  • Student Supervising, Team Management, and Conference Organizing

Relevant Coursework

• Machine Learning
• Soft Computing
• Current Literature Empirical Analysis
• Applied Deep Learning
• Mobile Assistive Wearable Devices & Applications
• Algorithm Design and Analysis
• Computer Vision
• Software Engineering
• Computer Programming