Academic rank: Associate Professor
Department of Computer Science
Central Connecticut State University
Ph.D. University of Illinois at Chicago May 2010
Computer Science
Thesis: Learning Activity Patterns of Individuals
Advisors: Peter Nelson (co-chair), Abolfazl (Kouros) Mohammadian (co-chair)
M.S. DePaul University, Chicago, Illinois May 2006
Computer Science (with distinction)
Thesis: Profile Injection Attack Detection for Securing Collaborative Recommender Systems
Advisor: Bamshad Mobasher
B.S. Cornell University, Ithaca, New York May 1998
Computer Science
· Chair Department of Computer Science, Central Connecticut State University
Aug. 2019 – present
· Co-coordinator Cybersecurity Program, Central Connecticut State University
Aug. 2018 – present
· Associate Professor, Central Connecticut State University, Tenured, Department of Computer Science, New Britain, CT
Conducting research and teaching a variety of graduate and undergraduate courses.
Aug. 2011 – present
· Assistant Professor, Bemidji State University, tenure track, Department of Mathematics and Computer Science, Bemidji, MN
Conducting research and teaching undergraduate courses.
Aug. 2010 – June 2011
· NSF IGERT Research Fellow, University of Illinois at Chicago, Chicago, IL
Conducting research in data mining analysis of mobile user patterns in Computational Transportation Science.
2006 – 2010
· Teaching Associate, University of Illinois at Chicago, Chicago, IL
Taught undergraduate Software Engineering.
2006
· Research Assistant, DePaul University, Chicago, IL
Conducted research in open systems security issues in recommender systems for the Center for Web Intelligence
2004 – 2006
· Manager, Accenture, Chicago, IL
Technical lead of large teams of developers and business specialists from project planning, design and execution of project lifecycle through delivery and support of the production system. Created computational solutions for Fortune 500 companies in insurance, capital markets, banking, and credit reporting. Team lead in Accenture’s initial offshore development effort which involved working in India for 3 months. Responsible on several projects for coordinating numerous teams consisting of personnel from multiple consulting companies, the client, and third-party software/service providers.
2001 – 2004
· Technical Architect, BlueMeteor Inc., Chicago, IL
Led development of the technical architecture framework design of one of the first cloud-based custom application hosting providers. Clients included Schering-Plough, CNN, and Crain Communications
2000 – 2001
· Consultant, Andersen Consulting (n/k/a Accenture), Chicago, IL
Development lead for claim handling systems developed for CNA Financial and Reliance Insurance
1998 – 2000
· Project Staff, Cornell University, Ithaca, NY
Developer on the Horus research project, responsible for creating cluster groupware distributed version control system.
1997 – 1998
Data mining and recommender systems
· Intrusion detection systems
· Mobile personalization
· Securing recommender systems
· Data stream mining
Technical architecture design patterns
· Reusability analysis, design, and development
Computer science educational methods
· Increasing female interest and retention in computer science
· Introducing programming at a young age
· Methods of promoting and evaluating good team practices in undergraduate team development projects
· Excellence in Teaching Semi-Finalist, Central Connecticut State University
2019, 2021
· Excellence in Teaching Honor Roll, Central Connecticut State University
2012, 2016, 2022
· Excellence in Teaching, nominated, Central Connecticut State University
2017, 2018, 2020
· Pioneer of the Year, nominated for creation of Open Educational Resources by the Student Government Association, Central Connecticut State University 2019, 2020
· Outstanding Service Award, awarded by the Central Connecticut State University School of Engineering, Science, and Technology
2019
· AAUP Research Grant
2018
· Club Advisor of the Year, awarded by SALD for advising Computer Science Club, Central Connecticut State University
2017
· Dean’s Research Initiative funding
2012
· NSF Integrative Graduate Education and Research Traineeship (IGERT) Fellow
Interdisciplinary graduate education spanning science, technology, engineering, mathematics and social sciences
2006–2010
· Best Paper Award, The 8th IEEE Conference on E-Commerce Technology (CEC)
2006
· Best Paper Award, DePaul Research Symposium/Midwest Software Engineering Conference
2006
· Phi Kappa Phi Honor Society
· Upsilon Pi Epsilon International Honor Society for the Computing and Information Disciplines
· Principal Investigator, National Security Agency GenCyber Grant, “CCSU GenCyber Cybersecurity Future,” $148,728, 2021-2024, awarded.
· Co-Principal Investigator, National Science Foundation Grant, “Scholarships, Mentoring, and Career Development to Support Attainment of Software Engineering Graduate Degrees,” $1,000,000, 2020-2025, awarded.
· Co-Principal Investigator, CCSU Next Generation Grant, “Pilot Cyber Range,” $27,260, 2022-2023, awarded.
· Principal Investigator, Student Success Team Retention Grant, “Retaining Women in Computer-Related Programs,” $2,757.50, 2019-2020, awarded.
· Principal Investigator, CSU-AAUP Faculty Research Grant “Machine Learning Methods for Cyber Security Intrusion Detection,” $1,265, 2018-2019, awarded.
· Principal Investigator, Google igniteCS Community Engagement Gift “CS Youth Outreach,” $7055, 2016-2017, awarded
· Faculty Principal Investigator, Faculty Student Research Grant “Developing Algorithms for Diverse Recommendations,” $500, 2016-2017, awarded.
· Principal Investigator, AAUP Curriculum Development Grant “Improving Student Learning with Raspberry Pi in the Computing Curriculum,” $5,099, 2016-2017, awarded
· Retaining Women in Computer Programs, 2019-present
At CCSU, while the overall retention of Computer Science majors has been about 80% for the last 3 years, retention of women in these programs from Fall 2017 to Fall 2019 was only 51%. Similar lower retention numbers are seen throughout the country. We are looking to address this issue through multiple approaches across all computing programs offered by CCSU across the departments of Computer Science and Computer Electronics & Graphics Technology and look for methods that can be shared with the greater academic community.
· Machine Learning Methods for Cyber Security Intrusion Detection, 2018-present
This research will focus on applying machine learning (ML) methods to improve intrusion detection system (IDS) identification and response to cyber security threats. Currently most IDS rely on one of two approaches. Either they focus on detecting known threats; or they try to identify new threats by flagging anomalies in the system. The proposed research would instead examine an alternative approach focused on applying ML methods to learn the meta characteristics of current known attacks. These attack characteristics would then be used to identify previously unseen attacks in a more targeted way than those based on anomalies alone.
· More Effective Undergraduate Team Development, 2015-present
Study of student concerns in team evaluation that can lead to ineffective team development and ways to address these to promote student learning of more effective team development practices.
· Introducing Programming at a Young Age, 2014-present
Design and develop an application that allows elementary school children to teach themselves programming concepts and algorithmic thinking with limited guidance. Since this is an age where there is often a significant decrease in female interest in computer science, a central focus of this project is discovering and incorporating methods that address increasing female interest.
· Mobile Personalization Framework, 2011-2018
Design and development of a framework for mining traveler activity and planning patterns to enhance traveler context for the purpose of application personalization for mobile users. Framework can provide activity recognition and identify next locations, activities, and planning interests.
· Data Stream Mining of Traveler Patterns, 2006-2010
Design and develop algorithms and techniques for mining streams of traveler data to identify significant locations, provide activity recognition, and utilize these to model future activity and location plans. Part of this project also addressed effective ways to handle missing data in the machine learning process.
· Securing Recommender Systems, 2004-2006
Identification of the most effective attacks for influencing the predictions of collaborative recommender systems. Design and develop countermeasures to make open recommender systems more robust to malicious attacks.
· Capstones, Theses, and Dissertations Directed
o “Realtime Itinerary Travel Application – Itinerary Generation”
David Hanley, and Benjamin Marshalkowski. MS Software Engineering Capstone anticipated completion Fall 2019.
o “Realtime Itinerary Travel Application – Personalization”
Ga Young Lee, Kimberly Niehaus, and Adrian Ward-Manthey. MS Software Engineering Capstone anticipated completion Fall 2019.
o “RideAtWish – Negotiable Mobile Ride Platform”
Aditi Sharma, Colin Kelly, Neelima Ganti, Sudha Bopini. MS CIT Capstone defended Spring 2019.
o “CampusConnects – Social Media for Campus Communities”
Olusola Agboola. MS CIT Capstone defended Spring 2019.
o “Effective Course Registration at CCSU”
Chad Tower and Jesse Silberstein. MS CIT Capstone defended Spring 2018.
o “Data Mining For Website Personalization”
Sonal Tamhane, Lavanya Mattaparthi, Vaidehi Paranjape, and Kruthika Ummadahalli Somaraju. MS CIT Capstone defended in Fall 2017.
o “Mobile Application Market Place Security”
Simon Yawin. CCSU Honors Thesis accepted in Fall 2016.
o “E-commerce Responsive Web Design - GharExpert.com”
Sakshi Chugh, Gayathri Satish, Prathyusha Surapaneni. MS CIT Capstone defended in Fall 2016.
o “Teaching Programming Concepts to Elementary Students: How to Train Your Robot”
Emtethal Alafghani, Antony Daley, Jr., Kevin Gregory, and Marianella Rydzewski. MS CIT Capstone defended in Fall 2014.
o “Benefit of a Cloud Based Solution for a Non-Profit Healthcare Practice”
Jacquelyn Gagnon, Sophia Gray, Matthew Joska, and Trung Phung. MS CIT Capstone defended in Spring 2014.
o “The Cost of Computer Security”
Anhor Salih. Undergraduate Honors thesis in Computer Science defended Spring 2014.
o “Benefit of a Cloud Based Solution for a Non-Profit Healthcare Practice”
Jacquelyn Gagnon, Sophia Gray, Matthew Joska, and Trung Phung. MS CIT Capstone defended in Spring 2014.
o “Student Information System”
Veekija Thirumalai, and Anupama Karumudi. MS CIT Capstone defended in Spring 2013.
o “Enterprise Resource Planning: Design and Development of a User-Centered Business Solution”
Joshua Flewelling, Sarah Mangiafico, and Andres Trujillo. MS CIT Capstone defended in Spring 2013.
o “Location-Smart Personal Organizer”
Jisna Mathew, and Pragyan Rath. MS CIT Capstone defended in Summer 2012.
· Undergraduate Student Projects Supervised (selected)
o “Developing Algorithms for Diverse Recommendations”
Nilay Bhatt. Poster presented at the Twelfth Annual Consortium for Computing Sciences in Colleges Northeastern Conference, April 2017.
o “ECG's as Emerging Biometric”
Dylan Cruz. Poster presented at CCSU’s University Research and Creative Achievement Program (URCAP) 2015.
· High School Student Projects Supervised (selected)
o “Improving Intrusion Detection Systems Effectiveness Against Unclassified Attacks Using Weka”
Ethan Schneider. Research paper published in the Newington High School’s Journal of Advanced Research Mentorship. Poster presented at Newington High School’s 6th annual STEMposium, May 2019.
· “Learning Activity Patterns of Individuals”
Chad Williams. Ph.D. Thesis. Department of Computer Science, University of Illinois at Chicago, Chicago, IL, 2010.
· “Profile Injection Attack Detection for Securing Collaborative Recommender Systems”
Chad Williams. MS Thesis. Department of Computer Science, DePaul University, Chicago, IL, 2006.
· Member of Editorial Board, Journal of Network and Communication Technologies, Canadian Center of Science and Education.
· “Attribute Constrained Rules for Partially Labeled Sequence Completion”
Chad A. Williams, Peter C. Nelson and Abolfazl Mohammadian. Advances in Data Mining - Applications and Theoretical Aspects, vol. 5633 of Lecture Notes in Computer Science, (Petra Perner, ed.), July 2009, pp. 338 - 352.
· “An Automated GPS-Based Prompted Recall Survey with Learning Algorithms”
Joshua Auld, Chad A. Williams, Abolfazl Mohammadian and Peter C. Nelson. Transportation Letters: The International Journal of Transportation Research, vol. 1, no. 1, Jan. 2009, pp. 59-79.
· “Defending Recommender Systems: Detection of Profile Injection Attacks”
Chad Williams, Bamshad Mobasher and Robin Burke. Service Oriented Computing and Applications, vol. 1, no. 3, Nov. 2007, pp. 157-170.
· “Toward Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithm Robustness”
Bamshad Mobasher, Robin Burke, Runa Bhaumik and Chad Williams. ACM Transactions on Internet Technology, vol. 7, no. 4, Oct. 2007, ACM.
· “Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation”
Bamshad Mobasher, Robin Burke, Chad Williams and Runa Bhaumik. Advances in Web Mining and Web Usage Analysis, vol. 4198 of Lecture Notes in Artificial Intelligence, (O. R. Zaïane, O. Nasraoui and P. S. Yu, eds.), 2006, pp. 96-118.
· "Making the Fundamentals of Cryptography Fun and Engaging," Chad Williams, presented at the Computer Science Teachers Association New England Regional Conference, October 2018.
· “Raspberry Pi Creativity: A Student-driven Approach to Teaching Software Design Patterns”, C. Williams, S. Kurkovsky. Proceedings of The 2017 IEEE Frontiers in Education Conference, Indianapolis, IN, USA, October 2017.
· “Raspberry Pi as a Platform for the Internet of Things Projects: Experiences and Lessons”, S. Kurkovsky, C. Williams. Proceedings of The 2017 ACM Conference on Innovation and Technology in Computer Science Education, Bologna, Italy, July 2017.
· "Teaching Programming Concepts to Elementary Students"
Chad Williams, Emtethal Alafghani, Antony Daley Jr., Kevin Gregory, and Marianella Rydzewski. Proceedings of the 45th Frontiers in Education Conference (FIE), 2015.
· "How to Train Your Robot: Computing Introduction for 8-10 Year Olds"
Chad Williams, Emtethal Alafghani, Antony Daley Jr., Kevin Gregory, and Marianella Rydzewski. Poster presented at the 11th ap (ICER), 2015.
· "How to Train Your Robot: Computing Introduction for 8-10 Year Olds"
Chad Williams, Emtethal Alafghani, Antony Daley Jr., Kevin Gregory, and Marianella Rydzewski. Talk given at the 11th International Computing Education Research Conference (ICER), 2015.
· “An Architecture for Mobile Context Services”
Chad Williams, Jisna Matthew. Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering, vol. 313 of Lecture Notes in Electrical Engineering, (T. Sobh and K. Elleithy, ed.), 2015.
· “Planning-Context Aware Mobile Recommendations”
Chad A. Williams and Sean T. Doherty. New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering, vol. 312 of Lecture Notes in Electrical Engineering, (K. Elleithy and T. Sobh, ed.), 2015.
· “Modeling Mobile User Activity Planning Targets”
Chad A. Williams and Sean T. Doherty. Proceedings of the 22nd Conference on User Modelling, Adaptation, and Personalization, July 2014.
· "Prompted recall travel surveying with GPS"
Joshua Auld, Chad Williams, and A. Mohammadian. Transport Chicago Conference. Zugegriffen. Vol. 15. 2013.
· “The Importance of Timing in Mobile Personalization”
Chad Williams. Proceedings of the 14th International Workshop on Mobile Computing Systems and Applications (HotMobile 2013), Feb. 2013.
· “ Enhancing Traveler Context Through Transferable Activity Patterns”
Chad Williams, Abolfazl Mohammadian, Josh Auld, and Sean Doherty. Proceedings of the Fourth International Conference on Mobile Computing, Applications and Services (MobiCASE), Oct. 2012.
· “Results of the UTRACS Internet-based Prompted Recall GPS Activity-travel Survey for the Chicago Region”
Joshua Auld, Martina Frignani, Chad Williams, and Abolfazl Kouros Mohammadian. Proceedings of the 12th World Conference on Transport Research (WTCR), July 2010.
· “Urban Travel Route and Activity Choice Survey: Internet-Based Prompted Recall Activity Travel Survey Using GPS Data”
Martina Z. Frignani, Joshua Auld, Abolfazl Mohammadian, Chad Williams and Peter C. Nelson. Proceedings of the 89th Annual Meeting of the Transportation Research Board, Jan. 2010.
· “Mining Sequential Association Rules for Traveler Context Prediction”
Chad A. Williams, Abolfazl Mohammadian, Peter C. Nelson and Sean T. Doherty. Proceedings of the First International Workshop on Computational Transportation Science, (Held at The International Conference on Mobile and Ubiquitous Systems: Networks and Services (MOBIQUITOUS 2008), Dublin, Ireland), July 2008.
· “Classification Features for Attack Detection in Collaborative Recommender Systems”
Robin Burke, Bamshad Mobasher, Chad Williams and Runa Bhaumik. KDD '06: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (Philadelphia, Pennsylvania), 2006, pp. 542-547.
· “The Impact of Attack Profile Classification on the Robustness of Collaborative Recommendation”
Chad Williams, Runa Bhaumik, Robin Burke and Bamshad Mobasher. Proceedings of the 2006 WebKDD Workshop, (Held at KDD 2006, Philadelphia, Pennsylvania), Aug. 2006.
· “Detection of Obfuscated Attacks in Collaborative Recommender Systems”
Chad Williams, Bamshad Mobasher, Robin Burke, Jeff Sandvig and Runa Bhaumik. Proceedings of the ECAI’06 Workshop on Recommender Systems, (Held at the 17th European Conference on Artificial Intelligence (ECAI'06), Riva del Garda, Italy), Aug. 2006.
· “Securing Collaborative Filtering Against Malicious Attacks Through Anomaly Detection”
Runa Bhaumik, Chad Williams, Bamshad Mobasher and Robin Burke. Proceedings of the 4th Workshop on Intelligent Techniques for Web Personalization (ITWP'06), (Held at AAAI 2006, Boston, Massachusetts), July 2006.
· “Detecting Profile Injection Attacks in Collaborative Recommender Systems”
Robin Burke, Bamshad Mobasher, Chad Williams and Runa Bhaumik. Proceedings of the 8th IEEE Conference on E-Commerce Technology (CEC'06), (San Francisco, California), June 2006.
* Winner of Best Paper Award
· “Evaluation of Profile Injection Attacks in Collaborative Recommender Systems”
Chad Williams, Runa Bhaumik, Jeff Sandvig, Bamshad Mobasher and Robin Burke.
DePaul CTI Research Symposium /Midwest Software Engineering Conference (CTIRS/MSEC 2006), (Chicago, Illinois), Apr. 2006.
* Winner of Best Paper Award
· “Segment-Based Injection Attacks Against Collaborative Filtering Recommender Systems”
Robin Burke, Bamshad Mobasher, Runa Bhaumik and Chad Williams. Proceedings of the 2005 International Conference on Data Mining (ICDM'05), (Houston, Texas), Nov. 2005.
· “Collaborative Recommendation Vulnerability to Focused Bias Injection Attacks”
Robin Burke, Bamshad Mobasher, Runa Bhaumik and Chad Williams. Proceedings of the Workshop on Privacy and Security Aspects of Data Mining, (Held at ICDM'05, Houston, Texas), Nov. 2005.
· “Effective Attack Models for Shilling Item-Based Collaborative Filtering Systems”
Bamshad Mobasher, Robin Burke, Runa Bhaumik and Chad Williams. Proceedings of the 2005 WebKDD Workshop, (Held at KDD 2005, Chicago, Illinois), Aug. 2005.
Other Publications
· “Genetically Evolving Optimal Neural Networks,”
Chad Williams. Neural Networks and Expert Systems, The Institute of Chartered Financial Analysts of India (ICFAI), Jan. 2007.
Selected Invited Talks and Presentations
· “Mobile Context Awareness,” talk presented at DePaul University, November 2013.
· “Attribute Constrained Rules: A New Approach for Missing Traveler Data,” talk presented at University of Illinois at Chicago, Department of Computer Science Colloquium, July 2009.
· “Learning Travel Patterns of Individuals,” talk presented at University of Illinois at Chicago, IGERT Seminar Series, January 2009.
· “Computational Transportation Science: An Interdisciplinary Approach to Integrating Emerging Technologies into Transportation,” by Chad A. Williams, Ouri Wolfson and Peter C. Nelson, Poster presented at 2008 NSF IGERT Project Meeting, Arlington, Virginia, May 2008.
· “Quickly Learning Activity and Travel Patterns of Individuals: Transfer Learning for Individual Travel Behavior Prediction,” talk presented at University of Illinois at Chicago, IGERT Seminar Series, February 2008.
· Program committee member, The 33rd International FLAIRS Conference, Special Track on Recommender Systems, 2020.
· Program committee member, The 29th International FLAIRS Conference, Special Track on Recommender Systems, 2016.
· Program committee member, The 28th International FLAIRS Conference, Special Track on Recommender Systems, 2015.
· Journal of Transactions on Dependable and Secure Computing
· Journal of ACM Transactions on the Web
· Journal of Communications of the ACM
· INFORMS Journal on Computing
· Journal of Transportation Research Part C
· Journal of Transportation Letters
· Journal of Intelligent Transportation and Urban Planning
· ACM SIGKDD Conference on Knowledge Discovery and Data Mining
· ACM RecSys Conference on Recommender Systems
· Member, Association for Computing Machinery (ACM)
o SIGCSE, SIGKDD, SIGART, SIGMOBILE
· Member, American Association for Artificial Intelligence (AAAI)
· Member, IEEE
Central Connecticut State University (2011 – present)
· CS 110 – Introduction to Internet Programming
· CS 113 – Introduction to Computers
· CS 407 – Advanced Topics: Design Patterns *
· CS 407 – Advanced Topics: Principles of Software Testing and Quality Assurance *
· CS 407 – Advanced Topics: Web Programming *
· CS 410 – Software Engineering
· CS 416 – Web Programming *
· CS 417 – Design Patterns *
· CS 418 – Principles of Software Testing and Quality Assurance *
· CS 490 – Computer Communications Networks & Distributed Processing
· CS 492 – Computer Security
· CS 493 – Secure Software Systems *
· CS 495 - Legal, Social, Ethical, and Economic Issues in Computing
· CS 502 - Computing and Communications Technology
· CS 505 – Design Patterns *
· CS 506 – Software Testing and Quality Assurance *
· CS 510 – Fundamentals of Software Engineering
* Indicates courses I created
Bemidji State University (2010-2011)
· CS 1309 – Problem Solving and Computer Science
· CS 2260 – Linux Systems Programming
· CS 3360 – Object Oriented Software Development
· CS 4361 – Software Engineering I
· CS 4362 – Software Engineering II
University of Illinois at Chicago (2006)
· CS 440 – Introduction to Software Engineering
Service Activities
Central Connecticut State University
· Chair, Computer Science Department (2019-present)
· Cybersecurity BS program co-coordinator (2018-present)
· Computer Science Department assessment coordinator (2017-present)
· Computer Science Club advisor (2011 – present)
o Won CCSU Student Activity & Leadership Development award for “Advisor of the Year”
o Won CCSU Student Activity & Leadership Development award for “Outstanding New Organization of the Year”
· Member of Academic Commission for eSports Gaming Center (2019-present)
· Member of School of Engineering Science and Technology, Dean’s Scholarship Committee (2019-present)
· Advisor for 3 CCSU teams competing in UConn cybersecurity Cyberseed competition (2019)
· Advisor for CCSU SEST students competing in national cybersecurity competition Cyber Fastrack (2019)
o CCSU ranked #1 in Connecticut (29 universities and colleges participated), and #3 nation-wide
· Organizer for CCSU’s Hackathon (2017 – present)
· Organizer for CCSU’s Hour of Code (2011 – present)
· Conduct resume workshops and mock interviews for Computer Science majors twice a year (2011-present)
· CS Youth Outreach advisor (2016 – present)
o Collaboration with New Britain’s Sisters In Science 2016-2017
o Collaboration with Random Hacks of Kindness, Jr. 2018-present
· Computer Science Department curriculum committee (2011 – present)
· Computer Science Department assessment committee (2011 – present)
· Computer Science Department graduating senior exit survey coordinator (2013 – present)
· App Development Club advisor (2017 – 2019)
· Faculty Advisor or Coordinator for Case Competitions
o The Hartford Campus Case Competition
§ Informally advised separate winning teams in 2012 and 2013
o Travelers IT Case Competition
§ Informally advised a 2014 team
o OPTUM Healthcare Innovation Teams Student IT Challenge 2015
· Faculty Programming Competition Team Advisor
o Consortium for Computing Sciences in Colleges — Northeastern Region competition 2014
o Consortium for Computing Sciences in Colleges — Northeastern Region competition 2016
· Conducted workshops with Farmington Public Schools teaching elementary and middle school students algorithmic thinking, programming, and web page development
· Faculty chaperone for students presenting research at SIGCSE conference in Kansas City, MO 2015
· CCSU Curriculum Committee representative (2012 – 2019)
· CCSU Curriculum Interdisciplinary Subcommittee (2018-2019)
· CCSU SEST Curriculum Sub-committee representative (2014 – 2019)
o Secretary (2017-2019)
· CCSU CLASS Curriculum Sub-committee representative (2012 – 2014)
· CCSU Information Technology Committee (2015 – 2017)
o Chair of committee 2016-2017
o Vice-chair of committee 2015-2016
· CCSU Faculty Senate, member (2012 – 2018)
· CCSU Senate Elections Committee (2012 – 2015)
· Computer Science Department AAUP Representative (2011 – 2014)
Bemidji State University
· BSU Honors Council (2010 – 2011)
· Advisor for the Computer Science Club (2010 – 2011)