Curriculum Vitae

Personal information

Bart Piet Knijnenburg

Email: bart@usabart.nl (personal)

bartk@clemson.edu (academic)

Current position

Dean’s Professor in Human-Centered Computing (Associate Professor)

School of Computing, College of Engineering and Science, Clemson University, August 2021 – now

Previous position: Assistant Professor, August 2015 – August 2021

Research Grants (PI: $2.68M total)

PI: CAREER: Leveraging Recommendations for Self-Actualization (546K, single PI)

NSF CISE HCC CAREER grant, June 2021 – May 2026

PI: A Research News Recommender Infrastructure with Live Users for Algorithm and Interface Experimentation (PI: $150K, $2M total)

NSF CCRI: New grant, with Joseph Konstan (University of Minnesota), Robin Burke (University of Colorado Boulder), Edward Malthouse (Northwestern University) and Michael Ekstrand (Boise State University), February 2023 – September 2025

Co-PI: Maximizing Data Utility and Participant Privacy through Usable, Secure Data Workflows for Human-Centered AI Research (co-PI: 228K, $600K total)

NSF CICI UCSS grant, with Kelly Caine (Clemson) and Susan McGregor (Columbia University), September 2022 – August 2025

Transferred grant (PI): Characterizing Inclusive Strategies that Retain Black Students in Computer Science to Graduation and Beyond (PI: $394K, $460 total)

NSF DUE IUSE grant, originally managed by Eileen Kraemer, in collaboration with Kinnis Gosha (Morehouse College), October 2021 – September 2024

Co-PI: Development and Pilot Testing of a Decision-Making Training Intervention for Older Adults (PI: $1K, $10K total)

CU SUCCEEDS grant, with Kaileigh Byrne (Clemson) and Lesley Ross (Clemson), March 2023 – Febraury 2023

Co-PI: Designing digital privacy education interventions for rural and urban older adults (co-PI: $45K, 100K total)

Meta Research Award, January 2022 – December 2022

As advisor (to Reza Ghaiumy Anaraky): Targeted Privacy Comics for Adults of all Ages and Levels of Literacy (two years’ tuition + stipend)

Facebook PhD Fellowship, August 2021 –­ December 2022

Co-PI: Clemson University’s STEM Teacher Learning Progression (co-PI: $205K, $4.10M total)

US Department of Education SEED grant, September 2020 – August 2023

Co-PI: Mathematically-grounded metaphors to teach AI-related cybersecurity (co-PI: $112K, $336K total)

NSF CISE SaTC-EDU EAGER grant and REU supplement, with Kelly Caine (Clemson) and Nicole Bannister (Clemson), August 2020 – July 2022

As advisor (to Moses Namara): Reimagining Privacy Policies (two years’ tuition + stipend)

Facebook PhD Fellowship, August 2020 –­ May 2022

PI: Reconsidering Ads in Social Media: A Self-Actualization Approach ($50K, single PI)

January 2020 – December 2020, Facebook Research Award

As advisor (to Daricia Wilkinson): Google Women Techmakers’ fellowship ($10K stipend)

Google Fellowship, June 2019 –­ Aug 2019

As advisor (to Daricia Wilkinson): Small Islands, Big Problems: Exploring Digital Defense Strategies for Caribbean Women (two years’ tuition + stipend)

Facebook PhD Fellowship, August 2019 –­ May 2021

As advisor (to Moses Namara): A User-Tailored Privacy Approach for Enhanced User Privacy Support (two years’ tuition + stipend)

Facebook Emerging Scholars Fellowship, August 2017 –­ May 2019

PI: Privacy for intelligent training systems ($722K, single PI)

US Army research contract, August 2016 ­– January 2020

PI: Using process tracing to improve household IoT users’ privacy decisions (PI: $180K, $882K total)

NSF CISE SaTC collaborative EAGER grant, with Alfred Kobsa (UCI) and Martijn Willemsen (TU Eindhoven, The Netherlands), January 2017 – August 2019

PI: Recommender Systems of Self-Actualization ($175K, single PI)

NSF CISE CHS Research Initiation Initiative (CRII) grant, September 2017 – June 2019

PI: Improving household Internet-of-Things users’ privacy decisions ($50K, single PI)

Samsung Research America research gift, January 2016 – December 2016

Student Fellowship (at UC Irvine): A User-Tailored Approach to Privacy Decision Support (two years’ tuition + stipend)

Google PhD Fellowship, awarded to 39 of the “most promising young academics in the world”, September 2014 – June 2016

Publications (4800+ citations, h-index: 36, i10-index: 80)

Journal articles (archival, peer reviewed):

• J31. Flathmann, C., McNeese, N.J., Schelble, B.G., Knijnenburg, B., & Freeman, G. (2023). Understanding the Impact and Design of AI Teammate Etiquette. Human-Computer Interaction (HCI), https://doi.org/10.1080/07370024.2023.2189595
  Human-Computer Interaction has a Clarivate Journal Impact Factor (JIF) of 6.459, a Source-Normalized Impact Factor (SNIP) of 1.695, and a Scopus CiteScore of 8.7.
• J30. Yisa, V., Ghaiumy Anaraky, R., Knijnenburg, B.P., Orji, R. (2023): Investigating Privacy Decision-Making Processes Among Nigerian Men and Women. Proceedings on Privacy Enhancing Technologies 2023 (PoPETS), https://doi.org/10.56553/popets-2023- 0018
• J29. Li, Y., Cho, H., Ghaiumy Anaraky, R., Knijnenburg, B.P., Kobsa, A. (2022): Antecedents of collective privacy management in social network sites: a cross-country analysis. CCF Transactions on Pervasive Computing and Interaction, https://doi.org/10.1007/s42486-022-00092-8
• J28. Namara, M., Sloan, H., Knijnenburg, B.P. (2022): The Effectiveness of Adaptation Methods in Improving User Engagement and Privacy Protection on Social Network Sites. Proceedings on Privacy Enhancing Technologies 2022 (PoPETS), https://doi.org/10.2478/popets-2022-0031
• J27. Byrne, K.A., Ghaiumy Anaraky, R., Dye, C.J., Ross, L.A., Madathil, K.C., Knijnenburg, B.P., Levkoff, S. (2021): Examining Rural and Racial Disparities in the Relationship between Loneliness and Social Technology Use among Older Adults. Frontiers in Public Health, section Aging and Public Health, https://doi.org/10.3389/fpubh.2021.723925
  Frontiers in Public Health has a JCR Impact Factor of 3.709 and a Scopus CiteScore of 2.7.
• J26. Ghaiumy Anaraky, R., Li, Y., Knijnenburg, B.P. (2021): Difficulties of Measuring Culture in Privacy Studies. Proceedings of the ACM: Human-Computer Interaction: Computer-Supported Cooperative Work and Social Computing 2021 (PACM:CSCW), https://doi.org/10.1145/3479522
• J25. Namara, M., Knijnenburg, B.P. (2021): The Differential Effect of Privacy-Related Trust on Groupware Application Adoption and Use during the COVID-19 pandemic. Proceedings of the ACM: Human-Computer Interaction: Computer-Supported Cooperative Work and Social Computing 2021 (PACM:CSCW), https://doi.org/10.1145/3479549
• J24. Li, Y., Ghaiumy Anaraky, R., Knijnenburg, B.P. (2021): How Not to Measure Social Network Privacy: A Cross-Country Investigation. Proceedings of the ACM: Human-Computer Interaction: Computer-Supported Cooperative Work and Social Computing 2021 (PACM:CSCW), 5(1), Article 144, https://doi.org/10.1145/3449218
• J23. Alkan, O, Mattetti, M., Daly, E.M., Botea, A., Vejsbjerg, I., Knijnenburg, B.P. (2021): IRF: A Framework for Enabling Users to Interact with Recommenders through Dialogue. Proceedings of the ACM: Human-Computer Interaction: Computer-Supported Cooperative Work and Social Computing 2021 (PACM:CSCW). 5(1), Article 163, https://doi.org/10.1145/3449237
• J22. Wilkinson, D., Alkan, O., Liao, Q. V., Mattetti, M., Vejsbjerg, I., Daly, E. M., Knijnenburg, B. P. (2021): Why or why not? The Effect of Justification Styles on Chatbot Recommendations. ACM Transactions on Information Systems (TOIS), https://doi.org/10.1145/3441715
  In press. TOIS has Source Normalized Impact Factor (SNIP) of 2.422.
• J21. Volonte, M., Ghaiumy Anaraky, R., Venkatakrishnan, R., Venkatakrishnan, R., Knijnenburg, B.P., Duchowski, A.T., Babu, S.V. (2021): Empirical Evaluation and Pathway Modeling of Visual Attention to Virtual Humans in an Appearance Fidelity Continuum. Journal on Multimodal User Interfaces (JMUI), https://doi.org/10.1007/s12193-020-00341-z
• J20. Ghaiumy Anaraky, R., Risius, M., Knijnenburg, B.P. (2020): Exacerbating Mindless Compliance: The Danger of Justifications During Privacy Decision Making in the Context of Facebook Applications. AIS Transactions on Human-Computer Interaction (THCI), 12(2), https://doi.org/10.17705/1thci.00129
  This paper was selected as the 2020 THCI Best Paper
• J19. Sun, Q., Willemsen, M.P., Knijnenburg, B.P. (2020): Unpacking the Intention-Behavior Gap in Privacy Decision Making for IoT Using Aspect Listing. Computers & Security (COSE), https://doi.org/10.1016/j.cose.2020.101924
  COSE has a Clarivate Journal Impact Factor (JIF) of 3.062 and a Source-Normalized Impact Factor (SNIP) of 2.303 (#14 among 206 General Computer Science journals)
• J18. Wilkinson, D., Bahirat, P., Namara, M., Lyu, J., Alsubhi, A., Qiu, J., Wisniewski, P., Knijnenburg, B.P. (2020): Privacy at a Glance: The User-Centric Design of Data Exposure Visualizations for an Awareness-Raising Screensaver. Proceedings on Privacy Enhancing Technologies 2020 (PoPETS), https://doi.org/10.2478/popets-2020-0034
  Acceptance rate: 22%
• J17. Namara, M., Wilkinson, D., Caine, K., Knijnenburg, B.P. (2020): Emotional and Practical Considerations Towards the Adoption and Abandonment of VPNs as a Privacy-Enhancing Technology. Proceedings on Privacy Enhancing Technologies 2020 (PoPETS), https://doi.org/10.2478/popets-2020-0006
  Acceptance rate: 22%
• J16. Page, X., Ghaiumy Anaraky, R., Knijnenburg, B.P., Wisniewski, P.J. (2019): Pragmatic Tool vs. Relational Hindrance: Exploring Why Some Social Media Users Avoid Privacy Features. Proceedings of the ACM: Human-Computer Interaction: Computer-Supported Cooperative Work and Social Computing 2019 (PACM:CSCW), 3(1), Article 110, https://doi.org/10.1145/3359212
• J15. Sanchez, O.R., Torre, I., He, Y., Knijnenburg, B.P. (2019): A Recommendation Approach for User Privacy Preferences in the Fitness Domain. User Modeling and User-Adapted Interaction (UMUAI), https://doi.org/10.1007/s11257-019-09246-3
• J14. Sanchez, O.R., Torre, I., Knijnenburg, B.P. (2019): Semantic-based Privacy Settings Negotiation and Management. Future Generation Computer Systems (FGCS), https://doi.org/10.1016/j.future.2019.10.024
• J13. He, Y., Bahirat, P., Knijnenburg, B.P., Menon, A. (2019): A Data Driven Approach to Designing for Privacy in Household IoT. ACM Transactions on Interactive Intelligent Systems (TiiS), 10(1), https://doi.org/10.1145/3241378
• J12. Page, X., Bahirat, P., Safi, M.I., Knijnenburg, B.P., Wisniewski, P. (2018): “The Internet of What?” Understanding Differences in Perceptions and Adoption of the Internet of Things. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2(4), Article 183, https://doi.org/10.1145/3287061
• J11. Cho, H., Knijnenburg, B.P., Li, Y., Kobsa, A. (2018): Collaborative Privacy Management in Social Media: A Cross-cultural Validation. ACM Transactions On Computer-Human Interaction (TOCHI), 25(3), Article 17, https://doi.org/10.1145/3193120
  TOCHI has a Scopus Journal Ranking (SJR) of 1.086 (#10 among 276 HCI journals and conference series), and a Source-Normalized Impact Factor (SNIP) of 2.09 (#8 among 82 HCI journals)
• J10. Page, X., Wisniewski, P., Knijnenburg, B.P., Namara, M. (2018): Social Media’s Have-Nots: An Era of Social Disenfranchisement. Internet Research, 28(5), 1253–1274, https://doi.org/10.1108/IntR-03-2017-0123
  Internet Research has a Clarivate Journal Impact Factor (JIF) of 4.580, a Scopus Journal Ranking (SJR) of 1.427 (#16 among 293 Communication journals and conference series), and a Source-Normalized Impact Factor (SNIP) of 2.10 (#9 among 185 Communication journals)
• J9. Li, Y., Vishwamitra, N., Hu, H., Knijnenburg, B.P., Caine, K. (2018): Effectiveness and Users’ Experience of Obfuscation as a Privacy-Enhancing Technology for Sharing Photos. Proceedings of the ACM: Human-Computer Interaction: Computer-Supported Cooperative Work and Social Computing 2018 (PACM:CSCW), 1(1), Article 67, https://doi.org/10.1145/3134702
• J8. Li, Y., Kobsa, A., Knijnenburg, B.P., and Nguyen, M-H.C. (2017): Cross-Cultural Privacy Prediction. Proceedings on Privacy Enhancing Technologies 2017 (PoPETS) 2, 113–132, https://doi.org/10.1515/popets-2017-0019
• J7. Wisniewski, P., Knijnenburg, B.P., Richter Lipford, H. (2017): Making privacy personal: Characterizing social network users by their privacy proficiency and management strategies. International Journal of Human-Computer Studies (IJHCS) 98, 95­–108, http://dx.doi.org/10.1016/j.ijhcs.2016.09.006
  IJHCS has a Clarivate Journal Impact Factor (JIF) of 2.657, is ranked #1 among 26 HCI journals (Microsoft Academic Search), and has a Source-Normalized Impact Factor (SNIP) of 2.03 (#10 among 82 HCI journals)
  This paper has received 150+ citations according to Google Scholar
• J6. Willemsen, M.C., Graus, M.P., Knijnenburg, B.P. (2016): Understanding the Role of Latent Feature Diversification on Choice Difficulty and Satisfaction. User Modeling and User-Adapted Interaction (UMUAI) 26 (4), 347–389, http://dx.doi.org/10.1007/s11257-016-9178-6
  UMUAI has a Clarivate Journal Impact Factor (JIF) of 3.234, a Source-Normalized Impact Factor (SNIP) of 3.36 (#2 among 82 HCI journals), and a Scopus Journal Ranking (SJR) of 2.328 (#6 among 346 HCI journals and conference series)
• J5. Knijnenburg, B.P., Willemsen, M.C. (2016): Inferring capabilities of intelligent agents from their external traits. ACM Transactions on Interactive Intelligent Systems (TiiS) 6(4), Article 28, https://doi.org/10.1145/2963106
  TiiS has a Scopus Journal Ranking (SJR) of 0.715 (#23 among 486 HCI journals and conference series)
• J4. Kobsa, A., Knijnenburg, B.P., Cho, H (2016).: The Effect of Personalization Provider Characteristics on Privacy Attitudes and Behaviors: An Elaboration Likelihood Model Approach. Journal of the Association for Information Science and Technology (JASIST) 67 (11), 2587–2606, http://dx.doi.org/10.1002/asi.23629
  JASIST is ranked #13 among 85 Information Science & Library Science journals (Clairviate)
• J3. Knijnenburg, B.P., Kobsa, A., Jin, H. (2013): Dimensionality of Information Disclosure Behavior. International Journal of Human-Computer Studies (IJHCS) 71(12), 1144–1162, http://dx.doi.org/10.1016/j.ijhcs.2013.06.003
  This paper has received 150+ citations according to Google Scholar
• J2. Knijnenburg, B.P., Kobsa, A. (2013): Making Decisions about Privacy: Information Disclosure in Context-Aware Recommender Systems. ACM Transactions on Interactive Intelligent Systems (TiiS) 3(3), Article 20, http://dx.doi.org/10.1145/2499670
  This paper has received 150+ citations according to Google Scholar
• J1. Knijnenburg, B.P., Willemsen, M.C., Gantner, Z., Soncu, H., Newell, C. (2012): Explaining the User Experience of Recommender Systems. User Modeling and User-Adapted Interaction (UMUAI) 22 (4-5), 441−504, http://dx.doi.org/10.1007/s11257-011-9118-4
  This paper has received 800+ citations according to Google Scholar

Edited books:

• E1. Knijnenburg, B.P., Page, X., Wisniewski, P., Lipford, H.R., Proferes, N., Romano, J. (2022): Modern Socio-Technical Perspectives on Privacy. Springer, https://doi.org/10.1007/978-3-030-82786-1

Book chapters (archival, peer reviewed):

• B8. Knijnenburg, B.P., Ghaiumy Anaraky, R., Wilkinson, D., Namara, M., He, Y., Cherry, D., Ash, E. (2022): User-Tailored Privacy. In: Modern Socio-Technical Perspectives on Privacy, B.P. Knijnenburg et al. (eds.), 367-393, https://doi.org/10.1007/978-3-030-82786-1_16
• B7. Lipford, H.R., Tabassum, M., Bahirat, P., Yao, Y., Knijnenburg, B.P. (2022): Privacy and the Internet of Things. In: Modern Socio-Technical Perspectives on Privacy, B.P. Knijnenburg et al. (eds.), 233-264, https://doi.org/10.1007/978-3-030-82786-1_11
• B6. Knijnenburg, B.P., Page, X., Wisniewski, P., Lipford, H.R., Proferes, N., Romano, J. (2022): Introduction and Overview. In: Modern Socio-Technical Perspectives on Privacy, B.P. Knijnenburg et al. (eds.), 1-11, https://doi.org/10.1007/978-3-030-82786-1_1
• B5. Rapa., L.J., Marshall, J.C., Madison, S.M., Flathmann, C., Knijnenburg, B.P., McNeese, N.J. (2022): Clemson University's teacher learning progression program: Personalized advanced credentials for teachers. In: Credential innovations for inclusive pathways to professions, Y. Huang (Ed.). Hershey, PA: IGI Global. ISBN: 9781799838203
• B4. Page, X., Knijnenburg, B.P., Wisniewski, P., Namara, M. (2018): Avoiding Online Harassment: The Socially Disenfranchised. In: Online Harassment, J. Golbeck (ed.)., https://doi.org/10.1007/978-3-319-78583-7_11
• B3. Knijnenburg, B.P. (2018): Privacy in Social Information Access. Invited chapter to the Social Information Access Handbook, P. Brusilovsky, D. He (eds.), https://doi.org/10.1007/978-3-319-90092-6_2
• B2. Knijnenburg, B.P., Willemsen, M.C. (2015): Evaluating Recommender Systems with User Experiments. In: Recommender Systems Handbook, 2nd ed., F. Ricci et al. (eds.), 309–352, http://dx.doi.org/10.1007/978-1-4899-7637-6_9
  This chapter has received 150+ citations according to Google Scholar
• B1. Friedman, A., Knijnenburg, B.P., Vanhecke, K., Martens, L., Berkovsky, S. (2015): Privacy Aspects of Recommender Systems. In: Recommender Systems Handbook, 2nd ed. , F. Ricci et al. (eds.), 649–688, http://dx.doi.org/10.1007/978-1-4899-7637-6_19
  This chapter has received 100+ citations according to Google Scholar

Conference papers (archival, peer reviewed, oral presentation):

• C41. Guo, L., Flathmann, C., Ghaiumy Anaraky, R., McNeese, N., Knijnenburg, B.P. (2022): The Effect of Recommendation Source and Justification on Professional Development Recommendations for High School Teachers. ACM Conference on Hypertext and Social Media (HT), 175–185, https://doi.org/10.1145/3511095.3531280
  Acceptance rate: 37%
• C40. Alsoubai, A., Ghaiumy Anaraky, R., Li, Y., Page, X.., Knijnenburg, B.P., Wisniewski, P. (2022): Permissions vs. App Limiters: Profiling Smartphone Users to Understand Differing Strategies for Mobile Privacy Management. ACM SIGCHI Conference on Human factors in computing systems (CHI), https://doi.org/10.1145/3491102.3517652
  Acceptance rate: 25%
• C39. Wilkinson, D., Knijnenburg, B.P. (2022): Many Islands, Many Problems: An Empirical Examination of Online Safety Behaviors in the Caribbean. ACM SIGCHI Conference on Human factors in computing systems (CHI), https://doi.org/10.1145/3491102.3517643
  Acceptance rate: 25%
• C38. Guo, L, Daly, E.M., Alkan, O., Mattetti, M., Cornec, O., Knijnenburg B.P. (2022): Building Trust in Interactive Machine Learning via User Contributed Interpretable Rules. ACM conference on Intelligent User Interfaces (IUI), 537–548, https://doi.org/10.1145/3490099.3511111
  Acceptance rate: 25%
• C37. Namara, M., Ghaiumy Anaraky, R., Wisniewski, P., Page, X., Knijnenburg, B.P. (2021): Examining Power Use and the Privacy Paradox between Intention vs. Actual Use of Mobile Applications. European Symposium on Usable Security (EuroUSEC), https://doi.org/1145/3481357.3481513
  Acceptance rate: 35%
• C36. Mehdy, A.K.M.N., Ekstrand, M., Knijnenburg, B.P., Mehrpouyan, H. (2021): Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans. ACM Conference on User Modeling Adaptation and Personalization (UMAP), https://doi.org/10.1145/3450613.3456829
  Acceptance rate: 23%
• C35. Jarrell, M., Ghaiumy Anaraky, R., Knijnenburg, B.P., Ash, E. (2021): Using Intersectional Representation and Embodied Identification in Standard Video Game Play to Reduce Societal Biases. ACM SIGCHI Conference on Human factors in computing systems (CHI), https://doi.org/10.1145/3411764.3445161
  Acceptance rate: 26%
• C34. Ghaiumy Anaraky, R., Byrne, K.A., Wisniewski, P.J., Page, X., Knijnenburg, B.P. (2021): To Disclose or Not to Disclose: Examining the Privacy Decision-Making Processes of Older vs. Younger Adults. ACM SIGCHI Conference on Human factors in computing systems (CHI), https://doi.org/10.1145/3411764.3445204
  Acceptance rate: 26%
• C33. Bahirat, P., He, Y., Willemsen, M.C., Sun, Q., Knijnenburg, B.P. (2021): Overlooking context: How do defaults and framing reduce deliberation in smart home privacy decision-making? ACM SIGCHI Conference on Human factors in computing systems (CHI), https://doi.org/10.1145/3411764.3445672
  Acceptance rate: 26%
• C32. Wilkinson, D., Namara, M., Patil, K., Guo, L., Manda, A., Knijnenburg, B.P. (2021): The Pursuit of Transparency and Control: A Classification of Ad Explanation in Social Media. 54th Hawaii International Conference on System Sciences (HICSS), http://hdl.handle.net/10125/70704
  This paper won the best mini-track paper award (among 6 accepted papers)
• C31. Knijnenburg, B.P., Hubig, N. (2020): Human-Centric Preference Modeling for Virtual Agents. Short Paper at the 20th ACM International Conference on Intelligent Virtual Agents (IVA), https://doi.org/10.1145/3383652.3423909
  Acceptance rate: 22%
• C30. Venkatakrishnan, R., Venkatakrishnan, R., Ghaiumy Anaraky, R., Volonte, M., Knijnenburg, B.P., Babu, S.V. (2020): A Structural Equation Modeling Approach to Understand the Relationship between Control, Cybersickness and Presence in Virtual Reality. IEEE Conference on Virtual Reality and 3D User Interfaces (IEEEVR), Atlanta, GA, https://doi.org/10.1109/VR46266.2020.1581195115265
  Acceptance rate: 21%
• C29. Volonte, M, Ghaiumy Anaraky, R., Knijnenburg, B.P., Duchowski, A.D., Babu, S.V. (2019): Empirical Evaluation of the Interplay of Emotion and Attention Interplay Examination During Interaction With Virtual Humans. ACM Symposium on Applied Perception (SAP), Barcelona, Spain, https://doi.org/10.1145/3343036.3343118
• C28. Page, X., Ghaiumy Anaraky, R., Knijnenburg, B.P. (2019): How Communication Style Shapes Relationship Boundary Regulation and Social Media Adoption. 10th International Conference on Social Media and Society (SMSociety), Toronto, Canada, https://doi.org/10.1145/3328529.3328553
  This paper won the best paper award (among 87 accepted papers)
• C27. Namara, M., Wilkinson, D., Lowens, B.M., Knijnenburg, B.P, Orji, R., Remy, S.L. (2018): Cross-cultural Perspectives on eHealth Privacy in Africa. 2nd African Conference for Human Computer Interaction (AfriCHI), Windhoek, Namibia, https://doi.org/10.1145/3283458.3283472
• C26. Namara, M., Sloan, H., Jaiswal, P., Knijnenburg, B.P. (2018): The Potential for User-Tailored Privacy on Facebook. IEEE symposium on Privacy-Aware Computing (PAC), Washington, D.C., https://doi.org/10.1109/PAC.2018.00010
• C25. Bahirat, P., He, Y., Menon, A., Knijnenburg, B.P. (2018): A Data-Driven Approach to Developing IoT Privacy-Setting Interfaces. ACM conference on Intelligent User Interfaces (IUI), Tokyo, Japan, https://doi.org/10.1145/3172944.3172982
  Acceptance rate: 23%—This paper won the best paper award (among 68 accepted papers)
• C24. Li, Y., Vishwamitra, N., Hu, H., Knijnenburg, B.P., Caine, K. (2017): Effectiveness and users’ experience of face blurring as a privacy protection for sharing photos via online social networks. HFES 2017 International Annual Meeting (HFES), Austin, TX.
• C23. Sinha, P., Alsubhi, A., Dash, S., Guo, L., Knijnenburg, B.P. (2017): Shopping for Clothes: From Meeting Individual Needs to Socializing. British Human-Computer Interaction conference (BHCI), Suffolk, U.K, http://hci2017.bcs.org/wp-content/uploads/7.pdf
• C22. Wilkinson, D., Sivakumar, S., Cherry, D., Knijnenburg, B.P., Raybourn, E., Wisniewski, P., Sloan, H. (2017): User-Tailored Privacy by Design. Usable Security Mini Conference (USEC), San Diego, CA, https://internetsociety.org/sites/default/files/usec2017_03_4_Wilkinson_paper.pdf
  Acceptance rate: 19%
• C21. Murukannaiah, P.K., Staddon, J., Lipford, H.R., Knijnenburg, B.P. (2017): Is this a privacy incident? Using News Exemplars to Study End User Perception of Privacy Incidents. Usable Security Mini Conference (USEC), San Diego, CA, https://internetsociety.org/sites/default/files/usec2017_02_2_Murukannaiah_paper.pdf
  Acceptance rate: 19%
• C20. Knijnenburg, B.P., Sivakumar, S., Wilkinson, D. (2016): Recommender Systems for Self-Actualization. ACM Conference on Recommender Systems (RecSys), Boston, MA, 11–14, http://dx.doi.org/10.1145/2959100.2959189
  Acceptance rate: 20%
• C19. Bidgoli, M., Knijnenburg, B.P., Grossklags, J. (2016): When Cybercrimes Strike Undergraduates. Symposium on Electronic Crime Research (eCrime), Toronto, Canada, http://dx.doi.org/10.1109/ECRIME.2016.7487948
  This paper won the best paper award (among 11 accepted papers)
• C18. Dong, C., Jin, H., Knijnenburg, B.P. (2015): Predicting Privacy Behavior on Online Social Networks. International AAAI Conference on Weblogs and Social Media (ICWSM), Oxford, UK, 91–100, http://bit.ly/icwsm2015.
  Acceptance rate: 19%
• C17. Wisniewski, P., Islam, N., Knijnenburg, B.P., Patil, S. (2015): Give Social Network Users the Privacy They Want. ACM Conference on Computer Supported Cooperative Work (CSCW), Vancouver, Canada, http://dx.doi.org/10.1145/2675133.2675256
  Acceptance rate: 28%
• C16. Knijnenburg, B.P., Kobsa, A. (2014): Increasing Sharing Tendency Without Reducing Satisfaction: Finding the Best Privacy-Settings User Interface for Social Networks. International Conference on Information Systems (ICIS), Auckland, NZ, http://bit.ly/icis2014
  Acceptance rate: 27%
• C15. Knijnenburg, B.P., Willemsen, M.C., Broeders, R. (2014): Smart Sustainability through System Satisfaction: Tailored Preference Elicitation for Energy-saving Recommenders. Americas Conference on Information Systems (AMCIS), Savannah, GA, http://bit.ly/amcis14 
• C14. Kobsa, A., Knijnenburg, B.P., Livshitz, B. (2014): Let’s Rather Do It at My Place? Attitudinal and Behavioral Study of Privacy in Client-Side Personalization. ACM SIGCHI Conference on Human factors in computing systems (CHI), Toronto, Canada, 81–90, http://dx.doi.org/10.1145/2556288.2557102
  Acceptance rate: 23%
• C13. Xie, J., Knijnenburg, B.P., Jin, H. (2014): Location Sharing Privacy Preference: Analysis and Personalized Recommendation. ACM conference on Intelligent User Interfaces (IUI), Haifa, Israel, 189–198, http://dx.doi.org/10.1145/2557500.2557504
  Acceptance rate: 24%
• C12. Knijnenburg, B.P., Kobsa, A., Jin, H. (2013): Counteracting the Negative Effect of Form Auto-completion on the Privacy Calculus. International Conference on Information Systems (ICIS), Milan, Italy, http://bit.ly/icis2013
  Acceptance rate: 26%
• C11. Knijnenburg, B.P., Kobsa, A. (2013): Helping Users with Information Disclosure Decisions: Potential for Adaptation. ACM conference on Intelligent User Interfaces (IUI), Santa Monica, CA, 407–416, http://dx.doi.org/10.1145/2449396.2449448
  Acceptance rate: 22%
• C10. Knijnenburg, B.P., Kobsa, A., Jin, H. (2013): Preference-based Location Sharing: Are More Privacy Options Really Better?. ACM SIGCHI Conference on Human factors in computing systems (CHI), Paris, France, 2667–2676, http://dx.doi.org/10.1145/2470654.2481369
  Acceptance rate: 20%
• C9. Page, X., Knijnenburg, B.P., Kobsa, A. (2013): FYI: Communication Style Preferences Underlie Differences in Location-Sharing Adoption and Usage. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Zurich, Switzerland, 153–162, http://dx.doi.org/10.1145/2493432.2493487
  First-round acceptance rate: 18%; awarded with an honorable mention
• C8. Page, X., Knijnenburg, B.P., Kobsa, A. (2013): What a Tangled Web We Weave: Lying Backfires in Location-Sharing Social Media. ACM Conference on Computer Supported Cooperative Work (CSCW), San Antonio, TX, 273–284, http://dx.doi.org/10.1145/2441776.2441808
  Acceptance rate: 36%
• C7. Jin, H., Saldamli, G., Chow, R., Knijnenburg, B.P. (2013): Recommendations-based Location Privacy Control. IEEE Pervasive Computing and Communication conference (PerCom), San Diego, CA, 401–404, http://dx.doi.org/10.1109/PerComW.2013.6529526
• C6. Saldamli, G., Chow, R., Jin, H., Knijnenburg, B.P. (2013): Private proximity testing with an untrusted server. ACM conference on Security and privacy in wireless and mobile networks (WiSec), Budapest, Hungary, 113–118, http://dx.doi.org/10.1145/2462096.2462115
  Acceptance rate: 37%
• C5. Knijnenburg, B.P., Bostandjiev, S., O'Donovan, J., Kobsa, A. (2012): Inspectability and Control in Social Recommender Systems. ACM Conference on Recommender Systems (RecSys) Dublin, Ireland, http://dx.doi.org/10.1145/2365952.2365966
  Acceptance rate: 20%; This paper has received 150+ citations according to Google Scholar
• C4. Page, X., Kobsa, A., Knijnenburg, B.P. (2012): Don't Disturb My Circles! Boundary Preservation is at the Center of Location-Sharing Concerns. International AAAI Conference on Weblogs and Social Media (ICWSM), http://bit.ly/icwsm2012
  Acceptance rate: 9%
• C3. Knijnenburg, B.P., Reijmer, N.J.M., Willemsen, M.C. (2011): Each to His Own: How Different Users Call for Different Interaction Methods in Recommender Systems. ACM Conference on Recommender Systems (RecSys), Chicago, IL, 141−148, http://dx.doi.org/10.1145/2043932.2043960
  Acceptance rate: 20%; This paper has received 150+ citations according to Google Scholar
• C2. Bollen, D.G.F.M., Knijnenburg, B.P., Willemsen, M.C., Graus, M.P. (2010): Understanding Choice Overload in Recommender Systems. ACM Conference on Recommender Systems (RecSys), Barcelona, Spain, 63−70, http://doi.acm.org/10.1145/1864708.1864724
  Acceptance rate: 19%; This paper has received 250+ citations according to Google Scholar
• C1. Knijnenburg, B.P., Willemsen, M.C., Hirtbach, S. (2010): Receiving Recommendations and Providing Feedback: The User-Experience of a Recommender System. 11th International Conference on Electronic Commerce and Web Technologies (EC-Web), Bilbao, Spain, LNBIP 61, 207−216, http://dx.doi.org/ 10.1007/978-3-642-15208-5_19

Conference poster papers (archival, peer reviewed):

• P12. Osho, O., Kennedy, C., Knijnenburg, B.P., Kraemer, E., Washington, G., Porter III, J., Sexton, S., Gosha, K. (2023): Societal Factors that Impact Retention and Graduation of Underrepresented Computer Science Undergraduates. ACM SIGCSE Technical Symposium (SIGCSE), Toronto, Canada
  Accepted, in press.
• P11. Baracskay, I., Baracskay III, D.J., Iqbal, M., Knijnenburg, B.P. (2022): The Diversity of Music Recommender Systems. ACM conference on Intelligent User Interfaces (IUI), Helsinki, Finland, 97–100, https://doi.org/10.1145/3490100.3516474
  This paper won the best poster award (among 26 posters and demos)
• P10. Ghaiumy Anaraky, R., Bahirat, P., Nasiri, M., Page, X., Knijnenburg, B.P., Duchoswki, A.T. (2020): Effect of Priming on Smart Home Privacy Preferences. 16th Symposium on Usable Privacy and Security (SOUPS).
• P9. Ghaiumy Anaraky, R., Freeman, G., Aragón, O.R., Knijnenburg, B.P., Tallapragada, M. (2019): The Dark Side of Social Media: What Makes Some Users More Vulnerable Than Others? 2019 Conference on Computer Supported Cooperative Work and Social computing (CSCW), Austin, TX, 185-189, https://doi.org/10.1145/3311957.3359493
• P8. Ghaiumy Anaraky, R., Cherry, D., Jarrell, M., Knijnenburg, B.P. (2019): Testing a Comic-Based Privacy Policy. 15th Symposium on Usable Privacy and Security (SOUPS), Santa Clara, CA.
• P7. Berkovsky, S., Taib, R., Hijikata, Y., Braslavsku, P., Knijnenburg, B.P. (2018): Cross-cultural trust in recommender systems. ACM conference on User Modeling, Adaptation and Personalization (UMAP), Singapore, 285–289, https://doi.org/10.1145/3209219.3209251
  Acceptance rate: 28%
• P6. Bahirat, P., Sun, Q., Knijnenburg, B.P. (2018): Scenario Context v/s Framing and Defaults in Managing Privacy in Household IoT. Poster paper at the ACM conference on Intelligent User Interfaces (IUI), Tokyo, Japan, https://doi.org/10.1145/3180308.3180372
  Acceptance rate: 23%
• P5. Dong, C. Jin, H., Knijnenburg, B.P. (2016): PPM: A Privacy Prediction Model for Online Social Networks. International Conference on Social Informatics (SocInfo), Bellevue, WA, 400–420, http://dx.doi.org/10.1007/978-3-319-47874-6_28
• P4. Chow, R., Jin, H., Knijnenburg, B.P., Saldamli, G. (2013): Differential data analysis for recommender systems. Short paper at the ACM Conference on Recommender Systems (RecSys’13), Hong Kong, China, 323–326, http://dx.doi.org/10.1145/2507157.2507190
• P3. Knijnenburg, B.P., Willemsen, M.C., Kobsa, A. (2011): A Pragmatic Procedure to Support the User-Centric Evaluation of Recommender Systems. ACM Conference on Recommender Systems (RecSys), Chicago, IL, 321−324, http://dx.doi.org/10.1145/2043932.2043993
  Acceptance rate: 27%
• P2. Knijnenburg, B.P., Willemsen, M.C. (2010): The Effect of Preference Elicitation Methods on the User Experience of a Recommender System. ACM conference on Human factors in computing systems (CHI), Altanta, GA, 3457−3462, http://dx.doi.org/10.1145/1753846.1754001
• P1. Knijnenburg, B.P., Willemsen, M.C. (2009): Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender system. ACM Conference on Recommender Systems (RecSys), New York, NY, 381−384, http://dx.doi.org/10.1145/1639714.1639793
  This paper won the best short paper award (among 47 papers)

Workshop papers (non-archival, peer reviewed):

• W24. Enam, M.A., Srivastava, S., Knijnenburg, B.P. (2023): Designing a Recommender System to Recruit Older Adults for Research Studies. Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, ITAH, MILC, SHAI, SketchRec, SOCIALIZE co-located with the ACM International Conference on Intelligent User Interfaces (IUI 2023), Sydney, Australia, 224–234, https://ceur-ws.org/Vol-3359/paper29.pdf
• W23. Black, J., Michael, I, Roberts, D., Stigall, B., Knijnenburg, B.P. (2023): Retiree Volunteerism: Automating "Word of Mouth" Communication. Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, ITAH, MILC, SHAI, SketchRec, SOCIALIZE co-located with the ACM International Conference on Intelligent User Interfaces (IUI 2023), Sydney, Australia, 216–223, https://ceur-ws.org/Vol-3359/paper28.pdf
• W22. Aly, H., Liu, Y., Ghaiumy Anaray, R., Khan, S., Byrne, K., Knijnenburg, B.P. (2022): Digital Privacy Education Interventions for Rural and Urban Older Adults. SOUPS 2022 Workshop on Inclusive Privacy and Security (WIPS).
• W21. Guo, L., Ghaiumy Anaraky, R., Flathmann, C., McNeese, N.J., Knijnenburg, B.P. (2021): How to recommend professional development pathways to high school teachers. Position paper at the CSCW 2021 Workshop on Human-Machine Partnerships in the Future of Work: Exploring the Role of Emerging Technologies in Future Workplaces, online.
• W20. Knijnenburg, B.P., Bannister, N., Caine, K. (2021): Using Mathematically-Grounded Metaphors to Teach AI-Related Cybersecurity. Position paper at the IJCAI-21 Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies (AIofAI), Montréal, Canada.
• W19. Khan, S., Iqbal, M., Humaira, N., Hubig, N., Knijnenburg, B.P. (2021): Mitigating Digital Mindlessness. Position paper at the IJCAI-21 Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies (AIofAI), Montréal, Canada.
• W18. Ghaiumy Anaraky, R., Knijnenburg, B.P., Risius, M. Nabizadeh, T. (2018): Eliminating Framing and Default effect in privacy related context. Paper at the Annual Pre-ICIS Workshop on HCI Research in MIS (SigHCI), San Francisco, CA.
  This paper won the best workshop paper award (among 19 accepted papers)
• W17. Bahriat, P., He, Y., Knijnenburg, B.P. (2018). Exploring Defaults and Framing effects on Privacy Decision Making in Smarthomes. Paper at the SOUPS2018 Workshop on Workshop on the Human aspect of Smarthome Security and Privacy (WSSP), Baltimore, MD.
• W16. Li, Y., Troutman, W., Knijnenburg, B.P., Caine, K. (2018). Human perceptions of sensitive content in photos. Paper at the CVPR2018 Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS), Salt Lake City, UT.
• W15. Li, Y., Vishwamitra, N., Knijnenburg, B.P., Hu, H., Caine, K. (2017): Blur vs. Block: Investigating the Effectiveness of Privacy-Enhancing Obfuscation for Images. Paper at the CVPR2017 Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS), Honolulu, HI, https://doi.org/10.1109/CVPRW.2017.176
• W14. Wilkinson, D., Sivakumar, S., Sinha, P., Knijnenburg, B.P. (2017): Testing a Recommender System for Self-Actualization. Short paper at the EICS2017 Workshop on Engineering Computer-Human Interaction in Recommender Systems (EnCHIReS), Lisbon, Portugal.
• W13. Knijnenburg, B.P., Cherry, D. (2016): Comics as a Medium for Privacy Notices. Paper at the SOUPS2016 Workshop on The Future of Privacy Notices, Denver, CO, http://bit.ly/soups2016
• W12. Knijnenburg, B.P., Bulgurcu, B. (2015): Form Auto-completion Tools Designed for Elaboration: Overcoming the Deleterious Effects of Decisional Heuristics on Users' Privacy. Paper at the 2015 Dewald Roode Information Security Workshop, Newark, DE.
• W11. Li, Y., Knijnenburg, B.P., Kobsa, A., and Nguyen, M-H.C. (2015): Cross-Cultural Privacy Prediction. Paper presented at the SOUPS2015 2nd Annual Privacy Personas and Segmentation Workshop (PPS), Ottawa, Canada.
• W10. Knijnenburg, B.P., Willemsen, M.C. (2014): Inferring capabilities of intelligent agents from their external traits. Paper at the Annual Pre-ICIS Workshop on HCI Research in MIS (SigHCI), Auckland, New Zealand, http://bit.ly/SigHCI2014
• W9. Knijnenburg, B.P., (2014): Information Disclosure Profiles for Segmentation and Recommendation. Paper at the SOUPS2014 Workshop on Privacy Personas and Segmentation (PPS), Menlo Park, CA, http://bit.ly/pps2014knijn
• W8. Wu, H., Knijnenburg, B.P., Kobsa, A. (2014): Improving the prediction of users’ disclosure behavior… by making them disclose more predictably? Paper at the SOUPS2014 Workshop on Privacy Personas and Segmentation (PPS), Menlo Park, CA, http://bit.ly/pps2014wu
• W7. Wisniewski, P., Knijnenburg, B.P., Richter Lipford, H. (2014): Profiling Facebook Users’ Privacy Behaviors. Paper at the SOUPS2014 Workshop on Privacy Personas and Segmentation (PPS), Menlo Park, CA, http://bit.ly/pps2014wis
• W6. Knijnenburg, B.P., Jin, H. (2013): The Persuasive Effect of Privacy Recommendations. Paper at the Annual Pre-ICIS Workshop on HCI Research in MIS (SigHCI), Milan, Italy, http://bit.ly/SigHCI2013
  This paper won the best workshop paper award (among 12 accepted papers)
• W5. Knijnenburg, B.P. (2013): On the dimensionality of information disclosure behavior in social networks. Position paper at the CSCW2013 workshop on Measuring Networked Privacy, San Antonio, TX, http://bit.ly/privdim-cscw2013
• W4. Knijnenburg, B.P., Kobsa, A., Saldamli, G. (2012): Privacy in Mobile Personalized Systems: The Effect of Disclosure Justifications. Short paper at the SOUPS 2012 Workshop on Usable Privacy & Security for Mobile Devices (U-PriSM), Washington, DC, http://bit.ly/uprism2012
• W3. Knijnenburg, B.P., Kobsa, A., Moritz, S., Svensson, M. (2011): Exploring the Effects of Feed-forward and Feedback on Information Disclosure and User Experience in a Context-Aware Recommender System. Full paper at the UMAP 2011 Workshop on Decision Making and Recommendation Acceptance Issues in Recommender Systems (DEMRA), Girona, Spain, 35−42, http://bit.ly/bartkdemra2011
• W2. Willemsen, M.C., Knijnenburg, B.P., Graus, M.P., Velter-Bremmers, L.C.M., Fu, K. (2011): Using latent features diversification to reduce choice difficulty in recommendation lists. Full paper at the RecSys’11 Workshop on on Human Decision Making in Recommender Systems (Decisions@RecSys), Chicago, IL, 14−20, http://ceur-ws.org/Vol-811/paper3.pdf
• W1. Knijnenburg, B.P., Meesters, L.M.J., Marrow, P., Bouwhuis, D.G. (2009): User-Centric Evaluation Framework for Multimedia Recommender Systems. Short workshop paper at the first international conference on user centric media (UCMedia’09), Venice, Italy, LNICST 40, 366−369, http://dx.doi.org/ 10.1007/978-3-642-12630-7_47

Other papers (not peer reviewed):

• O9. Singh, K., Sidnam-Mauch, E., Iqbal, S. M., Osho, O., Khan, S., Nelson, P., Derrick, K., Bannister, N., Caine, K., Knijnenburg, B.P. (2022). Trust the Teachers! A Story of Conducting School-Based Research in a Rural Middle School Community When Building Relationships Face-to-Face isn’t possible. Research outtake in Curriculum and Teaching Dialogue, 24 (1­/2), 269–274.
• O8. Page, X., Wisniewski, P., Knijnenburg, B., Schiller, J. (2019). Designing for Social Technologies: Responsible Privacy Design. User Experience Magazine, 19(3),
  http://uxpamagazine.org/designing-for-social-technologies-responsible-privacy-design/
• O7. Knijnenburg, B.P., Raybourn, E. (2019): Learner Privacy. In: Modernizing Learning: Building the Future Learning Ecosystem. J.J. Walcutt and S. Schatz (eds.), 143–162, https://bookstore.gpo.gov/products/modernizing-learning-building-future-learning-ecosystem
• O6. Knijnenburg, B.P. (2017): Privacy? I Can’t Even! Making a Case for User-Tailored Privacy. Invited paper for the IEEE Security & Privacy magazine, vol. 15, July/August 2017, 62–67, http://dx.doi.org/10.1109/MSP.2017.3151331
• O5. Knijnenburg, B.P. (2017): Privacy support for personalized learning/training systems. Presented at ITEC 2017.
• O4. Knijnenburg, B.P., Raybourn, E., Cherry, D., Wilkinson, D, Sivakumar, S., Sloan, H. (2017): Death To The Privacy Calculus? Position paper for the CSCW2017 workshop on “In Whose Best Interest? Exploring the Real, Potential, and Imagined Ethical Concerns in Privacy-Focused Agendas”.
• O3. Knijnenburg, B.P., Kobsa, A., Willemsen, M.C. (2016): Taking Control of Household IoT Device Privacy. Position paper for the CCC Sociotechnical Cybersecurity Workshop, http://bit.ly/IoTCCC2016
• O2. Knijnenburg, B.P. (2013): Simplifying Privacy Decisions: Towards Interactive and Adaptive Solutions. Invited talk at the RecSys workshop on Human Decision Making in Recommender Systems (Decisions@Recsys), http://bit.ly/decisions2013
• O1. Knijnenburg, B.P. (2013): A user-tailored approach to privacy decision support. Boaster for the Human Computer Interaction Consortium (HCIC), http://bit.ly/hcic2013

Education

Information and Computer Sciences (PhD)

September 2010 – July 2015

Donald Bren School of Information and Computer Sciences, University of California, Irvine

Advisor: Alfred Kobsa — Dissertation: “A user-tailored approach to privacy decision support”

Human-Technology Interaction (MSc)

September 2007 – June 2009 (graduated with top honors)

Faculty of Technology Management, Eindhoven University of Technology (TU/e), The Netherlands

Advisor: Martijn C. Willemsen — Thesis: “Adaptive Advice”

Human-Computer Interaction (MHI)

September 2006 – 2007 (graduated with a GPA of 3.96)

School of Computer Science, Carnegie Mellon University

Final project: “Fiesta: A Social Event Planning System for Google”

Innovation Sciences (BSc)

September 2002 – 2005 (graduated with top honors)

Faculty of Technology Management, Eindhoven University of Technology (TU/e), The Netherlands

Final project: “Cognitive Modeling Tools for User Interface Design”

Past work experience

Teaching associate at UC Irvine

January 2014 – March 2014

Job description: Developed a new syllabus and project assignments for the Information and Computer Sciences course “ICS4: Human Factors for the Web”. The course featured a main project that introduced students to human-computer interaction, market research methods, user-centered product design, and prototyping. In 10 weeks, students were challenged to design an interface that enables users perform an existing task (e.g. signing up for classes) in a radically new way.

Internship project for Samsung Information Systems America

June 2012 – December 2012, June 2013 – September 2013, September 2014 – December 2014

Job description: Development and execution of several research projects on adaptive privacy decision support. Samsung has filed two patents based on the work performed during the internship. Additional patent applications are in progress. The original three-month summer internship was so succesful that it was extended for another three months during the academic year, and renewed during the next summer. In 2014, I co-advised Samsung interns as a remote consultant.

Several teaching assistantships at UC Irvine

September 2011 – June 2012

Courses: User Interaction Software for Don Patterson (grading assignments, leading practicums, teaching several lectures), Human-Computer Interaction for Alfred Kobsa (grading assignments and final), Senior Design Project for Hadar Ziv and Judith Olson (grading assignments, project coaching, teaching several lectures).

Internship project for Ericsson

June 2011 – September 2011

Job description: Development and execution of a research project investigating different justification messages for empowering users to make better decisions about disclosing privacy-sensitive information in the context of a mobile app recommender system. Conducting an online experiment with a simple prototype of the system and semi-structured interviews with a paper-based prototype.

Researcher and Teacher at TU/e

June 2009 – September 2010

Job description: Field trial coordinator for the MyMedia FP7 project on multimedia recommender systems. Co-teacher of the “Thinking and Deciding” Bachelor-level course. Coach of two “Design Track A” student projects.

Interaction Designer at Aduna/Vound

December 2007 – June 2009 (2 days/week)

Job description: Incrementally designing new interaction techniques for AutoFocus, Aduna Enterprise Search and Intella (an innovative tool for digital forensics), using short prototype design cycles alternated with user feedback from concept validation and think aloud tests. Interaction design consultancy projects for Aduna customers. Designing website and promotional materials.

Education Officer of Study Association “Intermate”

May 2005 – May 2006 (full-time)

Job description: Intermate is the Study Association of the BSc study “Innovation Sciences” and the MSc studies “Human Technology Interaction” and “Technology and Policy”. The Education Officer is responsible for the student input in the Faculty’s policy and everyday affairs.

Several teaching and research assistantships at TU/e

Totaling over 600 hours from September 2003 to June 2006

Courses: Pre-Master Research Methods (teaching SPSS), Social Psychology (research assistant), Cognition (developing new course material, yearly guest lecture about cognition and technology), Social Science Applications of Simulation Studies (creating simulations of social phenomena), Research Methods: Measurement (weekly instructions), Fundamentals of Physics (class demonstrations and intermediary tests).

Awards and other activities

Awards

• Dean’s Professorship in Human-Centered Computing in the Clemson University’s College of Engineering, Computing and Applied Sciences.
• Best Poster Award at the 2022 ACM conference on Intelligent User Interfaces (IUI 2022).
• Facebook Research “Academic of the month,” Februari 2021.
• Best Mini-Track Paper at the 54^th Hawaii International Conference on System Sciences (HICSS 2021).
• Best Paper Award at the 2019 International Conference on Social Media & Society (SMSociety 2019).
• Best Paper Award at the 2018 Pre-ICIS Workshop on HCI Research in MIS.
• Best Paper Award at the 2018 ACM conference on Intelligent User Interfaces (IUI 2018).
• Outstanding Reviewer for the 2017 ACM Conference on Human Factors in Computing Systems (CHI 2017).
• Best Paper Award at the 2016 Symposium on Electronic Crime Research.
• Semi-finalist in the 2015 UCI Grad Slam-Graduate Research Presentation Competition.
• Group runner-up in the 2015 Associated Graduate Students Symposium at UC Irvine.
• Best Paper Award at the 2013 Pre-ICIS Workshop on HCI Research in MIS.
• Honorable Mention for our full paper at the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing.
• Best Thesis award of the Department of Technology Management, 2009.
• Nominated for the Dutch CHI “Gerrit van der Veer” Thesis Award 2009.
• Best Short Paper Award at the 2009 ACM Conference on Recommender Systems.
• Awarded second place in the first round of the TNO “Not Invented Yet” design competition with the project “PicturePal” (developed at CMU).
• Granted a full Talent Scholarship by the Nuffic Huygens Scholarship Programme
  This scholarship paid for my education at Carnegie Mellon University.
• Selected as one of the three most promising students of my university to join the Eurotop for Top Students, a three-day international conference on the future of European education.

Invited/Special talks

• Presenter at the Dagstuhl workshop on Frontiers of Information Access Experimentation for Research and Education, January 2023.
• Mentor at the RecSys2022 Doctoral Consortium.
• Invited seminar speaker at the North Carolina State University, Spring 2022.
• Presenter at the Clemson University Research Symposium 2021, with two talks: “Teaching AI-related cybersecurity through metaphors and math” and “STEM teacher learning progressions using a recommender system”.
• Invited lightning talk in the NSF Cybersecurity Education Birds of a Feather session at SIGCSE 2021.
• Invited seminar speaker at Concordia University, Montréal, Canada, Fall 2020.
• Invited panelist of the RecSys2020 session “Ask a RecSys Expert”.
• Invited seminar speaker at Tel Aviv University, Israel, Summer 2020.
• Invited seminar speaker at the University of Haifa, Israel, Summer 2020.
• Tutorial organizer at the 6^th International Conference on eDemocracy & eGovernment 2019, Quito, Ecuador. This tutorial was presented by my students, Daricia Wilkinson and Moses Namara.
• Invited seminar speaker at the Georgia Institute of Technology, Atlanta, Spring 2019.
• Keynote speaker at the 10th Anniversary of the Research Center Fuzzy Management Methods, University of Fribourg, Fall 2018.
• Invited seminar speaker at the University of California, Irvine, Spring 2018.
• Invited speaker at the workshop on user-centered design and innovation (NextGenUX), New Brunswick, Canada, Spring 2018.
• Invited seminar speaker at Penn State University, Spring 2018.
• Invited seminar speaker at Boise State University, Fall 2017.
• Co-presenter of the RecSys2017 tutorial on “Privacy for Recommender Systems”, Como, Italy.
• Presenter of the RecSys2017 Summer School course on “User Experience and Recommender Systems”, Bozen, Italy.
• Invited panelist at the 2017 user-centric security miniconference (USEC), San Diego, CA.
• Invited panelist at the 2016 CCC Sociotechnical Cybersecurity Workshop, Maryland, MD.
• Keynote speaker of the RecSys2016 workshop on “Interfaces and Human Decision Making for Recommender Systems” (IntRS), Boston, MA.
• Invited speaker at the 2016 Security and Privacy workshop at Bentley University, Boston, MA.
• Presenter of the IEEEVR2016 tutorial on Structural Equation Modeling for Human-Subject Experiments in Virtual and Augmented Reality, Greenville, SC.
• Mentor at the IUI2016 Doctoral Consortium, Sonoma, CA.
• Presenter of the IUI2016 tutorial on Evaluating Intelligent User Interfaces with User Experiments, Sonoma, CA.
• Nominated speaker at TEDxUCIrvine 2015.
• Keynote speaker of the RecSys2013 workshop on "Human Decision Making in Recommender Systems" (Decisions@Recsys2013), Hong Kong.
• Keynote speaker at the CSCW2013 workshop on Measuring Networked Privacy.
• Presenter of the RecSys2012 tutorial on Conducting User Experiments in Recommender Systems, Dublin, Ireland.
• Selected speaker at the first UC Irvine AGS Symposium.
• Selected speaker at the first TEDxUCIrvine event.
• Keynote speaker of the workshop on "User-Centric Evaluation of Recommender Systems and Their Interfaces 2" (UCERSTI::2) at RecSys 2011, Chicago, IL.

Conference/Workshop organization

• Voting Member (IUI 2021 Representative) of the ACM IUI Steering Committee
• Member of the Research Network on Managing Digital Security and Privacy from Cross-Cultural Perspectives
• General co-chair of the ACM conference on Intelligent User Interfaces (IUI) 2024
• Program co-chair of the CCS 2023 workshop on Privacy in the Electronic Society (WPES)
• Organizer of the CHI 2023 workshop on “Privacy Interventions and Education (PIE): Encouraging Privacy Protective Behavioral Change Online”
• Program co-chair of the ACM Conference on User Modeling Adaptation and Personalization (UMAP) 2022
• Doctoral Consortium co-chair of the ACM Conference on Intelligent User Interfaces (IUI) 2022
• Posters and Demos co-chair of the ACM Conference on User Modeling Adaptation and Personalization (UMAP) 2021
• Program co-chair of the ACM conference on Intelligence User Interfaces (IUI) 2021
• Posters and Demos co-chair of the ACM Conference on User Modeling Adaptation and Personalization (UMAP) 2020
• Industry Track co-chair of the ACM Recommender Systems conference (RecSys) 2019
• Organizer of the IUI 2019 workshop on “Intelligent User Interfaces for the Internet of Things” (IUIoT)
• Organizer of the CSCW 2018 workshop on “Privacy in Context: Critically Engaging with Theory to Guide Privacy Research and Design”
• Organizer of the UMAP 2018 workshop on “Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation” (IUAdaptMe)
• Organizer of the CHI 2018 workshop on “Exploring Individual Differences in Privacy”
• Organizer of the User-Tailored Privacy standard-setting summit, Fall 2017
• Tutorial co-chair of the ACM Recommender Systems conference (RecSys) 2018
• Doctoral Consortium co-chair of the ACM Recommender Systems conference (RecSys) 2017
• Social Media co-chair of the ACM SigCHI Conference on Human Factors in Computing Systems (CHI) 2017
• Workshop co-chair of the ACM conference on Intelligent User Interfaces (IUI) 2017
• Organizer of the CSCW 2017 workshop on “In Whose Best Interest? Exploring the Real, Potential, and Imagined Ethical Concerns in Privacy-Focused Agendas”
• Student volunteer co-chair of the ACM Recommender System conference (RecSys) 2016
• Proceedings chair of the ACM conference on Intelligent User Interfaces (IUI) 2016
• Organizer of the SOUPS 2015 workshop on “Privacy Personas and Segmentation” (PPS)
• Student volunteer co-chair of the 2015 iConference
• Proceedings chair of the ACM Recommender System conference (RecSys) 2014
• Organizer of the RecSys 2010 workshop on "User-Centric Evaluation of Recommender Systems and Their Interfaces" (UCERSTI)

Program committee and review board memberships

• Associate Editor of the Human-Computer Interaction Journal (HCI)
• Editorial board member of the ACM Transactions on Recommender Systems (TORS)
• Editorial board member of the User Modeling and User-Adapted Interaction (UMUAI) journal
• Editorial board member of the ACM Transactions on Interactive Intelligent Systems (TiiS)
• Guest editor, ACM Transactions on Interactive Intelligent Systems (TiiS), Special Issue on IUI 2021 Highlights
• Track chair of the “Intelligent User Interfaces” track, ACM Conference on User Modeling Adaptation and Personalization (UMAP) 2023
• ACM Conference on Computer-Supported Collaborative Work (CSCW) PC member since 2021
• ACM Conference on Intelligent User Interfaces (IUI) since 2019, senior PC member since 2021
• Track chair of the “Privacy and Fairness” track, ACM Conference on User Modeling Adaptation and Personalization (UMAP) 2019
• USENIX Symposium on Usable Privacy and Security (SOUPS) PC member since 2019
• ACM Conference on Recommender Systems (RecSys) since 2015, senior PC member since 2018
• ACM Conference on Human Factors in Computing Systems (CHI) 2018, PC member
• European Conference on Information Systems (ECIS) Associate Editor since 2015
• Track chair of the International Conference on HCI in Business (HCIB) 2015
• Conference on User Modeling, Adaptation and Personalization (UMAP) since 2014
• Florida Artificial Intelligence Research Symposium (FLAIRS) since 2015
• The Web Conference (TheWebConf/WWW) since 2016, senior PC member since 2022
• ACM Symposium on Applied Computing (SAC) since 2017
• ACM International Web Search and Data Mining conference (WSDM) 2021 and 2022
• International Symposium on Foundations & Practice of Security (FPS) 2021
• ACM Southeast Conference (ACMSE) 2021
• Privacy Enhancing Technologies Symposium (PETS) 2015–2017
• Hawaii International Conference on System Sciences (HICSS) 2017, Big Data Engineering Minitrack
• ACM Multimedia (MM) 2017, Novel Topics track
• Associate Editor for the Internationale Tagung Wirtschaftsinformatik (WI) 2017
• Americas Conference on Management Information Systems (AMCIS) 2016, Interface Design, Evaluation, and Impact mini-track
• IEEE International Conference on Social Computing and Networking (SocialCom) 2016
• International Conference on Financial Cryptography and Data Security (FC) 2016
• International Conference on HCI in Business (HCIB) 2016
• iConference 2016
• PACIS 2016, special track on User-Centered Decision Support Systems in the IoT Era
• International Symposium on Trust, Security and Privacy for Emerging Applications (TSP) 2016
• IEEE International Conference on Social Computing and Networking (SocialCom) 2014–2015
• Information Interaction in Context conference (IIiX) 2014
• International Conference on Electronic Commerce and Web Technologies (EC-Web) 2013
• AAAI Conference on Weblogs and Social Media (ICWSM) 2013
• European Interactive TV Conference (EuroITV) 2010
• Workshop program committees: RecSys 2023 workshop on Recommendations for Behavior Change (BehavRec), IJCAI 2021 and 2023 workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies (AIofAI), SIGIR 2022 workshop on Measuring Quality of Explanations in Recommender Systems (QUARE), IUI 2022 workshop on on Adaptive and Personalized Explainable User Interfaces (APEx-UI), RecSys 2017, 2020, 2021 and 2022 workshop on Fairness, Accountability and Transparency in Recommendations (FAccTRec), WWW 2018 and RecSys 2021 workshop on Online Recommender Systems and User Modeling (ORSUM), RecSys 2021–2023 workshop on Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES), ACM RecSys 2020 and 2022 workshop on Context-Aware Recommender Systems (CARS), UMAP 2018, 2020 and 2022 workshop on Fairness in User Modeling, Adaptation and Personalization (FairUMAP),UMAP 2019, 2020 and 2023 workshop on Explainable User Models and Personalised Systems (ExUM), TheWebConf 2016 and 2019 workshop on Modeling Social Media: Mining, Modeling and Learning from Social Media (MSM), RecSys 2014–2023 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS), SIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS), ASIACCS 2015–2017 workshop on Internet-of-Things Privacy, Trust, and Security (IoTPTS), NDSS 2017 workshop on Learning from Authoritative Security Experiment Results (LASER) 2017, FPF 2017 Workshop on Bridging Industry and Academia to Tackle Responsible Research and Privacy Practices, CHI 2016 workshop on Privacy by Design, SIGIR 2015 Workshop on Social Personalisation & Search (SPS), ECIS 2015 Workshop on Context-Awareness in Retrieval and Recommendation (CaRR), NDSS 2015 Workshop on Usable Security (USEC), CSCW 2015 Workshop on the Future of Networked Privacy, The 2014 RecSys Challenge workshop, RecSys 2014 workshop on Recommender Systems evaluation: Dimensions and Design (REDD), Hypertext 2014 workshop on Social Personalization, WAIM 2014 workshop on Human Aspects of Making Recommendations in Social Ubiquitous Networking Environments (HRSUNE), RecSys 2012 and 2013 workshop on Human Decision Making in Recommender Systems (Decisions@RecSys), RecSys 2013 workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys), Recsys 2013 workshop on Benchmarking Adaptive Retrieval and Recommender Systems (BARS)
• Alternative track committee member: RecSys 2021 Demos track, RecSys 2020 Late Breaking Results, UMAP 2020 Doctoral Consortium, CHI 2018 and 2019 Workshops, Recsys 2016 Doctoral Consortium, IUI 2016 Doctoral Consortium, IUI 2016 posters and demos, Hypertext 2015 Doctoral Consortium

Reviewer positions

• Journal paper reviews for: International Journal of Human-Computer Studies (IJHCS), User Modeling and User-Adapted Interaction (UMUAI), Decision Analysis, ACM Transactions on Interactive Intelligent Systems (TiiS), ACM Transactions on Intelligent Systems and Technology (TIST), Information Systems Research (ISR), Management Information Systems Quarterly (MISQ), Communications of the Association for Information Systems (CAIS), Journal of Organizational Computing and Electronic Commerce (JOCEC), Annals of Telecommunications (ANTE), Web Intelligence and Agent Systems (WIAS), Journal of Web Sciences (JWS), ACM Transactions on Internet Technology (TOIT), IEEE Pervasive Computing, Management Science, Information & Management, Computers & Security (COSE), Computers & Society, International Journal of Human-Computer Interaction (IJCHI), Transactions on the Web (TWEB), Journal of Computer-Mediated Communication (JCMC), Computer Supported Cooperative Work (CSCW), IEEE Transactions on Dependable and Secure Computing (TDSC), Behavior & Information Technology (BIT), Information Systems Journal (ISJ), Human Computer Interaction joural (HCI), Quality and User Experience (QUEX), International Journal of Industrial Ergonomics (ERGON), ACM Transactions on Human-Computer Interaction (TOCHI), ACM Transactions on Social Computing (TSC), Journal of Broadcasting & Electronic Media (JoBEM), Heliyon, IEEE Security & Privacy, ACM Transactions on Privacy and Security (TOPS), Personal and Ubiquitous Computing (PAUC), Internet Research, Telematics and Informatics, IEEE Access, ACM Computing Surveys (CSUR).
• Conference paper reviews for: CSCW 2011, CHI 2012, UMAP 2012, RecSys 2012, EC-Web 2012, ICIS 2013, CHI 2013, SOUPS 2013, CSCW 2013, PACIS 2013, ICWSM 2013 Pervasive Health 2013, CSCW 2014, CHI 2014, ECIS 2014, PETS 2014, AMCIS 2014, Pervasive 2014, SOUPS 2014, ICIS 2014, IiiX 2014, RecSys 2014, SocialCom 2014, CHI 2015, AMCIS 2015, Ubicomp 2015, ICIS 2015, IFIP Dewald Roode workshop 2015, CHI 2016, ECIS 2016, Ubicomp 2016, HICSS 2016, CHI 2017, HICSS 2018, TVX 2018, NordiCHI 2018, CSCW 2018, IMWUT 2018, CSCW 2019, CHI 2019, CSCW 2020, SOUPS 2020, IMWUT 2020, CHI 2020, IEEEVR 2020, MobileHCI 2020, AMCIS 2020, CHI 2020, iConference 2022, CHI 2022, iConference 2023.

Teaching

• F2022: Measurement & Evaluation of HCC systems, part II – 9 graduate students, overall effectiveness: 4.6/5.0
• S2022: Measurement & Evaluation of HCC systems, part I – 14 graduate students, overall effectiveness: 4.1/5.0 (taught hybrid due to COVID-19)
• F2021: Research Methods for Human-Centered Computing – 20 graduate students, overall effectiveness: 4.3/5.0 (taught hybrid due to COVID-19)
• S2021: Measurement & Evaluation of HCC systems, part I – 10 graduate students, overall effectiveness: 4.8/5.0 (taught online due to COVID-19)
• S2021: Human and Computer Interaction – 39 undergraduate students and 15 graduate students, overall effectiveness: 4.5/5.0 (taught online due to COVID-19)
• F2020: Fundamentals of Human-Centered Computing – 21 graduate students, overall effectiveness: 4.6/5.0 (taught online due to COVID-19)
• S2020: Human and Computer Interaction – 32 undergraduate students and 22 graduate students, overall effectiveness: 4.1/5.0 (partially taught online due to COVID-19)
• F2019: Research Methods for Human-Centered Computing – 13 graduate students, overall effectiveness: 4.5/5.0
• S2019: Measurement & Evaluation of HCC systems, part I – 11 graduate students, overall effectiveness: 4.4/5.0
• F2018: Measurement & Evaluation of HCC Systems, part II – 6 graduate students,overall effectiveness: 5.0/5.0
• S2018: Meausrement & Evaluation of HCC systems, part I – 13 graduate students, overall effectiveness: 4.0/5.0
• F2017: Measurement & Evaluation of HCC Systems, part II –13 graduate students,overall effectiveness: 5.0/5.0
• S2017: Measurement & Evaluation of HCC Systems, part I – 21 graduate students, overall effectiveness: 5.0/5.0
• F2016: Fundamentals of Human-Centered Computing – 28 graduate students, overall effectiveness: 4.8/5.0
• S2016: Measurement & Evaluation of HCC Systems – 7 graduate students, overall effectiveness: 5.0/5.0
• F2015: Pscyhological Theories of Quantitative HCI Research – 7 undergraduate students and 6 graduate students, overall effectiveness: 5.0/5.0
• UC Irvine, Winter 2014: Human Factors for the Web – 88 undergraduate students, overall evaluation: A– (3.6/4.0)

University service

• Panelist of the Clemson University Office of Research Development workshop “Successful Grant Seeking: Writing to the Reviewer”, Fall 2021
• Director 5-year evaluation committee chair – Human-Centered Computing division
• Broadening Participation in Computing committee chair – School of Computing
• Presenter of the Advanced Responsible Conduct of Research (RCR) Brown Bag presentation on “Doing Human Subjects Research using Online Platforms”, February 18, 2021
• Director’s Advisory Committee member – School of Computing
• Honors Research Seminar organizer – School of Computing, every semester, since Fall 2020
• Recruiting and Admissions committee chair – Human-Centered Computing division
• PhD student evaluation committee member – Human-Centered Computing division
• Assessment committee member ­– School of Computing
• Faculty advisor – Clemson University Out In Science Technology Engineering and Mathematics

Current Students

Lijie Guo, PhD student

Recommender systems for self-actualization, Emotions for Recommender Systems, Transparency and control of Facebook Ads

Sushmita Khan, PhD student

Cybersecurity education, recommender systems for self-actualization

Mehtab (Shahan) Iqbal, PhD student

Cybersecurity education, recommender systems for self-actualization

Ananya Gupta, PhD student

Ricoh PhD fellowship awardee

Multilingual social network users, Privacy in the Caribbean

Heba Aly, PhD student

Reducing prejudice through exposure to motivational videos, Multilingual social network users, Older adult privacy education

Co-advisees (committee memberships)

At Clemson: Cheng Guo, Beau Schelble, Arwa Alsubhi, Vincent Leon Guerrero (Policy Studies)

Outside Clemson: Taha Hassan (Virginia Tech)

Graduated students

Jacob Webb, BS 2023 (honors thesis)

AI-powered music education

Reza Ghaiumy Anaraky, PhD 2022

Facebook PhD fellowship awardee

Privacy for intelligent training systems, User-tailored privacy for social networks, Reducing prejudice through diversity in videogames, Age and privacy, Endowment effect, Online political discourse

Daricia Wilkinson, PhD 2022

Facebook PhD fellowship awardee, Google Women Techmakers scholarship Awardee

Recommender systems for self-actualization, Privacy for intelligent training systems, Privacy-centric screensavers, Privacy in the Caribbean, Transparency and control of Facebook Ads

Moses Namara, PhD 2022

Clemson University 2022 Outstanding Graduate Student Researcher

One of the 2021 MIT Technology Review’s 35 Innovators Under 35

Facebook PhD fellowship awardee, Facebook emerging scholars fellowship awardee

Privacy for intelligent training systems, User-tailored privacy for social networks, Social media non-use, VPN adoption for privacy, Transparency and control of Facebook Ads

Paritosh Bahirat, PhD 2021

Privacy profiles for household IoT systems, Generational differences in IoT adoption, User-tailored privacy for social networks

Marie Jarrell, PhD 2020

Reducing prejudice through diversity in videogames, Online political discourse

Yang He, PhD 2019

Privacy profiles for household IoT systems, Privacy for intelligent training systems

Karishma Patil, MS 2022 (Industrial Engineering, thesis)

Transparency and control of Facebook Ads, Privacy-centric screensavers

David Cherry, MS 2019 (non-thesis)

Privacy for intelligent training systems, Comics as a medium for privacy notices, Moiré patterns for privacy

Saadhika (Sonu) Sivakumar, MS 2017 (non-thesis)

Recommender systems for self-actualization, Privacy for intelligent training systems

Abhilash Menon, MS 2017 (non-thesis)

Privacy profiles for household IoT systems, Privacy for intelligent training systems

Pratitee Sinha, MS 2018 (non-thesis)

Recommender systems for self-actualization, Online versus in-store shopping for clothes

Ryan Preston, BS 2021 (honors thesis)

Moiré patterns for privacy

Co-advisees

At Clemson: Melva James, PhD 2015; Kevin Storer, MS Computer Science 2017; Tania Roy, PhD 2018; Yifang Li, PhD 2020; Matias Volonte, PhD 2021; Anurata Hridi, MS Computer Science 2021; Byron Lowens, PhD 2021; Geoff Musick, PhD 2022; Rui Zhang, PhD 2023; Lingyuan Li, PhD 2023; Funmilayo Ogunsanwo, MA Communication 2023.

Outside Clemson: Ron Hirschprung (PhD 2016, Tel-Aviv University), Abdulhadi Alqarni (PhD 2018, Dalhousie University), Sonia Parani (MS 2018, Fribourg University), Aigul Kaskina (PhD 2018, Fribourg University), Odnan Ref Sanchez (PhD 2019, University of Genova), Yao Li (PhD 2019, UC Irvine), Tatenda Duncan Kavu (PhD 2021, University of Zimbabwe), Wanling Cai (PhD 2022, Hong Kong Baptist University)