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Volgenau School of Engineering
 
 
The B.S. in Information Technology degree program is accredited by the Computing Accreditation Commission of ABET, http://www.abet.org.

George Mason University is designated as a National Center of Academic Excellence in Information Assurance/Cyber Defense Research and Education.

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Publications

Faculty in the department publish papers and articles in several arenas, including peer-reviewed journals, conferences, and popular media. Below you will find a selection of recent publications, as well as technical reports published internally.

Krall, J. R., Adibah, N., Babin, L. M., Lee, Y.-C., Motti, V. G., McCombs, M., … Pollack, A. Z. (2020). Estimating exposure to traffic-related PM2.5 for women commuters using vehicle and personal monitoring. Environmental Research, 187, 109644. https://doi.org/10.1016/j.envres.2020.109644
Purohit, H., Castillo, C., & Pandey, R. (2020). Ranking and grouping social media requests for emergency services using serviceability model. Social Network Analysis and Mining, 10(1), 22. https://doi.org/10.1007/s13278-020-0633-3
Krishnan, J., Purohit, H., & Rangwala, H. (2020). Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Social Web Data for Emergency Services. ArXiv:2003.04991 [Cs, Stat]. Retrieved from http://arxiv.org/abs/2003.04991
Karbasian, H., & Johri, A. (2020). Insights for Curriculum Development: Identifying Emerging Data Science Topics through Analysis of Q&A Communities. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (pp. 192–198). Portland, OR, USA: Association for Computing Machinery. https://doi.org/10.1145/3328778.3366817
Senarath, Y., & Purohit, H. (2020). Evaluating Semantic Feature Representations to Efficiently Detect Hate Intent on Social Media. In 2020 IEEE 14th International Conference on Semantic Computing (ICSC) (pp. 199–202). https://doi.org/10.1109/ICSC.2020.00041
Malik, A., Dhir, A., Kaur, P., & Johri, A. (2020). Correlates of social media fatigue and academic performance decrement: A large cross-sectional study. Information Technology & People, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ITP-06-2019-0289
Johri, A. (2020, January 1). LITTLE WOES, ONE GREAT PROBLEM - ProQuest. Retrieved June 3, 2020, from https://search.proquest.com/openview/0eee3e4a2103f638f5a69f74350de0e2/1?pq-origsite=gscholar&cbl=33050
Song, X., Zhang, H., Akerkar, R. A., Huang, H., Guo, S., Zhong, L., … Culotta, A. (2020). Big Data and Emergency Management: Concepts, Methodologies, and Applications. IEEE Transactions on Big Data, 1–1. https://doi.org/10.1109/TBDATA.2020.2972871
Lee, M., & Butler, B. S. (2020). Cultural Activity Diversity and Community Characteristics: An Exploratory Study. In A. Sundqvist, G. Berget, J. Nolin, & K. I. Skjerdingstad (Eds.), Sustainable Digital Communities (pp. 32–49). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-43687-2_3
Motti, V. G. (2020). Wearable Interaction. In V. G. Motti (Ed.), Wearable Interaction (pp. 81–107). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-27111-4_3
Motti, V. G., Kalantari, N., Mahapasuthanon, P., & Zheng, H. (2020). GEST-DC: Unifying Transportation and Air Quality Information in an mHealth Application. In T. Ahram & C. Falcão (Eds.), Advances in Usability and User Experience (pp. 385–398). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-19135-1_38
Motti, V. G., & Evmenova, A. (2020). Designing Technologies for Neurodiverse Users: Considerations from Research Practice. In T. Ahram, R. Taiar, S. Colson, & A. Choplin (Eds.), Human Interaction and Emerging Technologies (pp. 268–274). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-25629-6_42
Motti, V. G. (2020). Future Trends in Wearable Computing. In V. G. Motti (Ed.), Wearable Interaction (pp. 149–161). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-27111-4_5
Motti, V. G. (2020). Design Considerations. In V. G. Motti (Ed.), Wearable Interaction (pp. 41–79). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-27111-4_2
Motti, V. G. (2020). Design Guidelines and Evaluation. In V. G. Motti (Ed.), Wearable Interaction (pp. 109–148). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-27111-4_4
Motti, V. G. (2020). Introduction to Wearable Computers. In V. G. Motti (Ed.), Wearable Interaction (pp. 1–39). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-27111-4_1
Klein, C., Lester, J., Rangwala, H., & Johri, A. (2019). Technological barriers and incentives to learning analytics adoption in higher education: insights from users. Journal of Computing in Higher Education, 31(3), 604–625. https://doi.org/10.1007/s12528-019-09210-5
Hashemi, M. (2019). Automatic Inference of Road and Pedestrian Networks From Spatial-Temporal Trajectories. IEEE Transactions on Intelligent Transportation Systems, 20(12), 4604–4620. https://doi.org/10.1109/TITS.2019.2916588
Hashemi, M. (2019). Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolation. Journal of Big Data, 6(1), 98. https://doi.org/10.1186/s40537-019-0263-7
Nalluru, G., Pandey, R., & Purohit, H. (2019). Classifying Relevant Social Media Posts During Disasters Using Ensemble of Domain-agnostic and Domain-specific Word Embeddings. ArXiv:1911.05165 [Cs]. Retrieved from http://arxiv.org/abs/1911.05165
Malik, A., Hiekkanen, K., Hussain, Z., Hamari, J., & Johri, A. (2019). How players across gender and age experience Pokémon Go? Universal Access in the Information Society. https://doi.org/10.1007/s10209-019-00694-7
Boateng, G., Motti, V. G., Mishra, V., Batsis, J. A., Hester, J., & Kotz, D. (2019). Experience: Design, Development and Evaluation of a Wearable Device for mHealth Applications. In The 25th Annual International Conference on Mobile Computing and Networking (pp. 1–14). Los Cabos, Mexico: Association for Computing Machinery. https://doi.org/10.1145/3300061.3345432
Motti, V. G. (2019). Designing emerging technologies for and with neurodiverse users. In Proceedings of the 37th ACM International Conference on the Design of Communication (pp. 1–10). Portland, Oregon: Association for Computing Machinery. https://doi.org/10.1145/3328020.3353946
de Lima Salgado, A., Federici, F. M., de Mattos Fortes, R. P., & Motti, V. G. (2019). Startup workplace, mobile games, and older adults: a practical guide on UX, usability, and accessibility evaluation. In Proceedings of the 37th ACM International Conference on the Design of Communication (pp. 1–9). Portland, Oregon: Association for Computing Machinery. https://doi.org/10.1145/3328020.3353948
Malik, A., Heyman-Schrum, C., & Johri, A. (2019). Use of Twitter across educational settings: a review of the literature. International Journal of Educational Technology in Higher Education, 16(1), 36. https://doi.org/10.1186/s41239-019-0166-x
Motti, V. G. (2019). Assistive wearables: opportunities and challenges. In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 1040–1043). London, United Kingdom: Association for Computing Machinery. https://doi.org/10.1145/3341162.3349573
Hashemi, M., & Hall, M. (2019). Detecting and classifying online dark visual propaganda. Image and Vision Computing, 89, 95–105. https://doi.org/10.1016/j.imavis.2019.06.001
Klein, C., Lester, J., Nguyen, T., Justen, A., Rangwala, H., & Johri, A. (2019). Student Sensemaking of Learning Analytics Dashboard Interventions in Higher Education. Journal of Educational Technology Systems, 48(1), 130–154. https://doi.org/10.1177/0047239519859854
Motti, V. G. (2019). Persona Cards: Introducing Users With Diverse Needs To Enhance Accessibility Teaching. Innovations in Teaching & Learning Conference Proceedings, 11, Hall-Hall. https://doi.org/10.13021/itlcp.2019.2516
Almatrafi, O., & Johri, A. (2019). Systematic Review of Discussion Forums in Massive Open Online Courses (MOOCs). IEEE Transactions on Learning Technologies, 12(3), 413–428. https://doi.org/10.1109/TLT.2018.2859304
Evmenova, A. S., Graff, H. J., Genaro Motti, V., Giwa-Lawal, K., & Zheng, H. (2019). Designing a Wearable Technology Intervention to Support Young Adults With Intellectual and Developmental Disabilities in Inclusive Postsecondary Academic Environments. Journal of Special Education Technology, 34(2), 92–105. https://doi.org/10.1177/0162643418795833
Malik, A., Li, Y., Karbasian, H., Hamari, J., & Johri, A. (2019, March). Live, Love, Juul: User and Content Analysis of Twitter Posts about Juul [Text]. https://doi.org/info:doi/10.5993/AJHB.43.2.9
Krishnan, N. K., Johri, A., Chandrasekaran, R., & Pal, J. (2019). Cashing out: digital payments and resilience post-demonetization. In Proceedings of the Tenth International Conference on Information and Communication Technologies and Development (pp. 1–16). Ahmedabad, India: Association for Computing Machinery. https://doi.org/10.1145/3287098.3287103
Chan, J. L., & Purohit, H. (2019). Challenges to Transforming Unconventional Social Media Data into Actionable Knowledge for Public Health Systems During Disasters. Disaster Medicine and Public Health Preparedness, 1–8. https://doi.org/10.1017/dmp.2019.92
Johri, A. (2019, January 1). SISYPHUS IN THE DIGITAL WORKPLACE - ProQuest. Retrieved June 3, 2020, from https://search.proquest.com/openview/dbc0e4f54e81f4e9b64253bc8a82abad/1?pq-origsite=gscholar&cbl=33050
Purohit, H., Kanagasabai, R., & Deshpande, N. (2019). Towards Next Generation Knowledge Graphs for Disaster Management. In 2019 IEEE 13th International Conference on Semantic Computing (ICSC) (pp. 474–477). https://doi.org/10.1109/ICOSC.2019.8665638
Le, H., Johri, A., & Malik, A. (2019). Curating Tweets: A Framework for Using Twitter for Workplace Learning. ASEE Annual Conference Proceedings. Retrieved from https://par.nsf.gov/biblio/10106512-curating-tweets-framework-using-twitter-workplace-learning
Purohit, H., & Pandey, R. (2019). Intent Mining for the Good, Bad, and Ugly Use of Social Web: Concepts, Methods, and Challenges. In N. Agarwal, N. Dokoohaki, & S. Tokdemir (Eds.), Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining (pp. 3–18). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-94105-9_1
Purohit, H., Dubrow, S., & Bannan, B. (2019). Designing a Multimodal Analytics System to Improve Emergency Response Training. In P. Zaphiris & A. Ioannou (Eds.), Learning and Collaboration Technologies. Designing Learning Experiences (pp. 89–100). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-21814-0_8
Stabile, B., Grant, A., Purohit, H., & Rama, M. (2019). “She Lied”: Social construction, rape myth prevalence in social media, and sexual assault policy. Sexuality, Gender & Policy, 2(2), 80–96. https://doi.org/10.1002/sgp2.12011
Lee, M., & Butler, B. S. (2019). How are information deserts created? A theory of local information landscapes. Journal of the Association for Information Science and Technology, 70(2), 101–116. https://doi.org/10.1002/asi.24114
Chhetri, C., & Motti, V. G. (2019). Eliciting Privacy Concerns for Smart Home Devices from a User Centered Perspective. In N. G. Taylor, C. Christian-Lamb, M. H. Martin, & B. Nardi (Eds.), Information in Contemporary Society (pp. 91–101). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-15742-5_8
Zheng, H., Motti, V. G., Giwa-Lawal, K., Evmenova, A., & Graff, H. (2019). Evaluating WELI: A Wrist-Worn Application to Assist Young Adults with Neurodevelopmental Disorders in Inclusive Classes. In D. Lamas, F. Loizides, L. Nacke, H. Petrie, M. Winckler, & P. Zaphiris (Eds.), Human-Computer Interaction – INTERACT 2019 (pp. 114–134). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-29384-0_7
Motti, V. G. (2019). Wearable Technologies in Education: A Design Space. In P. Zaphiris & A. Ioannou (Eds.), Learning and Collaboration Technologies. Ubiquitous and Virtual Environments for Learning and Collaboration (pp. 55–67). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-21817-1_5
Chowdhury, B., Johri, A., Kafura, D., & Lohani, V. (2019). Be Constructive: Learning Computational Thinking Using ScratchTM Online Community. In M. A. Herzog, Z. Kubincová, P. Han, & M. Temperini (Eds.), Advances in Web-Based Learning – ICWL 2019 (pp. 49–60). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-35758-0_5
Brozina, C., Knight, D. B., Kinoshita, T., & Johri, A. (2019). Engaged to Succeed: Understanding First-Year Engineering Students’ Course Engagement and Performance Through Analytics. IEEE Access, 7, 163686–163699. https://doi.org/10.1109/ACCESS.2019.2945873
Klein, C., Lester, J., Rangwala, H., & Johri, A. (2018). Learning Analytics Tools in Higher Education: Adoption at the Intersection of Institutional Commitment and Individual Action. The Review of Higher Education, 42(2), 565–593. https://doi.org/10.1353/rhe.2019.0007
Karbasian, H., Purohit, H., Handa, R., Malik, A., & Johri, A. (2018). Real-Time Inference of User Types to Assist with more Inclusive and Diverse Social Media Activism Campaigns. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (pp. 171–177). New Orleans, LA, USA: Association for Computing Machinery. https://doi.org/10.1145/3278721.3278781
Tecuci, G., Meckl, S., Marcu, D., & Boicu, M. (2018). Evidence-based Detection of Advanced Persistent Threats. Computing in Science and Engineering, 20(6-Special Issue on Evidence-based Reasoning and Applications), 54–65. https://doi.org/10.1109/MCSE.2018.2873854
Tecuci, G., Kaiser, L., Marcu, D., Uttamsingh, C., & Boicu, M. (2018). Evidence-based Reasoning in Intelligence Analysis: Structured Methodology and System. Computing in Science and Engineering, 20(6-Special Issue on Evidence-based Reasoning and Applications), 9–21. https://doi.org/10.1109/MCSE.2018.2873852
 
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