Publications

Stan Kurkovsky, Mikey Goldweber, Chad Williams, Nathan Sommer (2025). Scaffolded Projects for the Social Good: A Strategy for Deploying Studio Model in CS Education. To Appear In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2025).

Stan Kurkovsky, Mikey Goldweber, Chad Williams, Nathan Sommer (2025). Best Practices in Software Projects with Community Partners. To Appear in Proceedings of the 56th ACM Technical Symposium on Computer Science Education.

Chad Williams, Haoyu Wang, Stan Kurkovsky, Xiaobing Hou, Ryan Sharp (2024). WIP: Industry 4.0 Robotics - an Interdisciplinary Approach to Deep Learning. To appear in Proceedings of the 2024 IEEE Frontiers in Education Conference (FIE 2024).

Chad Williams, Stan Kurkovsky, Michael Goldweber, Nathan Sommer (2024). WIP: A Systematic Approach to Screen and Align Service-Learning Projects for Optimal Student Outcomes. To appear in Proceedings of the 2024 IEEE Frontiers in Education Conference (FIE 2024).

Stan Kurkovsky, Chad Williams, Michael Goldweber, Nathan Sommer (2024). External Projects and Partners: Addressing Challenges and Minimizing Risks from the Outset. Proceedings of the 29th annual ACM conference on Innovation and Technology in Computer Science Education (ITiCSE 2024).

Stan Kurkovsky, Chad Williams, Mikey Goldweber, Nathan Sommer (2024). Tutorial - Navigating Feasibility: Choosing Service-Learning Projects for Academic Fit. Proceedings of the 28th Annual Conference of the CCSCNE.

Stan Kurkovsky, Mikey Goldweber, Nathan Sommer, Chad Williams (2024). Scaffolded Projects for the Social Good: A Strategy for Deploying Studio Model in CS Education. In Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2024).

Stan Kurkovsky, Chad Williams, Mikey Goldweber, Nathan Sommer (2024). Community-based Service Learning: Best Practices in Software Projects with Community Partners. Proceedings of the 55th ACM Technical Symposium on Computer Science Education.

Chad Williams, Stan Kurkovsky (2017). Raspberry Pi creativity: A student-driven approach to teaching software design patterns. 2017 IEEE Frontiers in Education Conference (FIE).

Stan Kurkovsky, Chad Williams (2017). Raspberry Pi as a platform for the Internet of things projects: Experiences and lessons. Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education.

Chad Williams, Emtethal Alafghani, Antony Daley, Kevin Gregory, Marianella Rydzewski (2015). Teaching programming concepts to elementary students. 2015 IEEE Frontiers in Education Conference (FIE).

Chad Williams, Sean T Doherty (2015). Planning-Context Aware Mobile Recommendations. New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering.

Chad Williams, Jisna Mathew (2015). An architecture for mobile context services. Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering.

Joshua Auld, Chad Williams, A Mohammadian (2013). Prompted recall travel surveying with GPS. Transport Chicago Conference, Zugegriffen.

Chad Williams, Abolfazl Mohammadian, Joshua Auld, Sean T Doherty (2013). Enhancing Traveler Context through Transferable Activity Patterns. Mobile Computing, Applications, and Services: 4th International Conference, MobiCASE 2012, Seattle, WA, USA, October 11-12, 2012. Revised Selected Papers 4.

Chad Williams (2013). ACM HotMobile 2013 poster: the importance of timing in mobile personalization. ACM SIGMOBILE Mobile Computing and Communications Review.

J Auld, Martina Frignani, Chad Williams, A Mohammadian (2010). Results of the UTRACS Internet-Based Prompted Recall GPS Travel Survey: Empirical Analysis of the Activity Planning Process. 12th World Conference on Transport Research, Lisbon, Portugal.

Chad Williams, Peter C Nelson, Abolfazl Mohammadian (2009). Attribute constrained rules for partially labeled sequence completion. Advances in Data Mining. Applications and Theoretical Aspects: 9th Industrial Conference, ICDM 2009, Leipzig, Germany, July 20-22, 2009..

Chad Williams, Abolfazl Mohammadian, Peter C Nelson, Sean T Doherty (2008). Mining sequential association rules for traveler context prediction. Proceedings of the 5th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services.

Chad Williams, Bamshad Mobasher, Robin Burke, Runa Bhaumik (2007). Detecting profile injection attacks in collaborative filtering: a classification-based approach. Advances in Web Mining and Web Usage Analysis: 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, USA, August 20, 2006 Revised Papers 8.

Chad Williams, Runa Bhaumik, JJ Sandvig, Bamshad Mobasher, Robin Burke (2006). Evaluation of profile injection attacks in collaborative recommender systems. DePaul CTI Research Symposium /Midwest Software Engineering Conference (CTIRS/MSEC 2006), Chicago, Illinois, USA. April 2006.

Chad Williams, Runa Bhaumik, Robin Burke, Bamshad Mobasher (2006). The impact of attack profile classification on the robustness of collaborative recommendation. Proc. of WebKDD 2006: KDD Workshop on Web Mining and Web Usage Analysis, in conjunction with the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), August 20-23 2006, Philadelphia, PA.

Runa Bhaumik, Chad Williams, Bamshad Mobasher, Robin Burke (2006). Securing collaborative filtering against malicious attacks through anomaly detection. Proceedings of the 4th workshop on intelligent techniques for web personalization (ITWP’06), Boston.

Chad Williams, Bamshad Mobasher, Robin Burke, Jeff Sandvig, Runa Bhaumik (2006). Detection of obfuscated attacks in collaborative recommender systems. Proceedings of the ECAI.

Robin Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik (2006). Detecting profile injection attacks in collaborative recommender systems. The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06).

Robin Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik (2006). Classification features for attack detection in collaborative recommender systems. Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining.

Bamshad Mobasher, Robin Burke, Chad Williams, Runa Bhaumik (2006). Analysis and detection of segment-focused attacks against collaborative recommendation. Advances in Web Mining and Web Usage Analysis: 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005, Chicago, IL, USA, August 21, 2005. Revised Papers 7.

Robin Burke, Bamshad Mobasher, Runa Bhaumik, Chad Williams (2005). Segment-based injection attacks against collaborative filtering recommender systems. Fifth IEEE International Conference on Data Mining (ICDM'05).

Bamshad Mobasher, Robin Burke, Runa Bhaumik, Chad Williams (2005). Effective attack models for shilling item-based collaborative filtering systems. Proceedings of the 2005 WebKDD Workshop, held in conjuction with ACM SIGKDD.

Robin Burke, Bamshad Mobasher, Runa Bhaumik, Chad Williams (2005). Collaborative recommendation vulnerability to focused bias injection attacks. International Conference on Data Mining: Workshop on Privacy and Security Aspects of Data Mining (ICDM 2005).