Selected Publications

  • Klink VP, Darwish O, Alkharouf NW, Lawaju BR, Khatri R, Lawrence KS. Conserved oligomeric Golgi (COG) complex genes functioning in defense are expressed in root cells undergoing a defense response to a pathogenic infection and exhibit regulation my MAPKs. PLoS One. 2021 Aug 26;16(8):e0256472. doi: 10.1371/journal.pone.0256472. PMID: 34437620; PMCID: PMC8389442.
  • Niraula PM, Sharma K, McNeece BT, Troell HA, Darwish O, Alkharouf NW, Lawrence KS, Klink VP. Mitogen activated protein kinase (MAPK)-regulated genes with predicted signal peptides function in the Glycine max defense response to the root pathogenic nematode Heterodera glycines. PLoS One. 2020 Nov 4;15(11):e0241678. doi: 10.1371/journal.pone.0241678. PMID: 33147292; PMCID: PMC7641413.
  • Qi X, Ogden EL, Die JV, Ehlenfeldt MK, Polashock JJ, Darwish O, Alkharouf N, Rowland LJ. Transcriptome analysis identifies genes related to the waxy coating on blueberry fruit in two northern-adapted rabbiteye breeding populations. BMC Plant Biol. 2019 Oct 31;19(1):460. doi: 10.1186/s12870-019-2073-7. PMID: 31711416; PMCID: PMC6844065.
  • Zhang C, Gao M, Seitz NC, Angel W, Hallworth A, Wiratan L, Darwish O, Alkharouf N, Dawit T, Lin D, Egoshi R, Wang X, McClung CR, Lu H. LUX ARRHYTHMO mediates crosstalk between the circadian clock and defense in Arabidopsis. Nat Commun. 2019 Jun 11;10(1):2543. doi: 10.1038/s41467-019-10485-6. PMID: 31186426; PMCID: PMC6560066.
  • Alshehri, Hamdan; Alkharouf, Nadim; Darwish, Omar; McNeece, Brant; and Klink, Vincent. MAPKDB: A MAP kinase database for transduction elements in signaling. Bioinformation, volume 15(5), 2019. DOI: 10.6026/97320630015338.
  • Journal Articles
    • Alnahari, M. M., Chakraborty, J., Mohamed, M., & Ali-Gombe, A., Arabic Web Accessibility Analysis: Findings from a Usability Study of Arabian Web Developers. Human Intelligent System Integration. In Press.
    • Alnahari, M. M., Chakraborty, J., & Mohamed, M., Web Accessibility Research and Practice: The need for Arabic Web Accessibility Improvement. International Journal of Art, Culture and Design Technologies, Vol. 10, Issue 1, Pages 36-49.
    • Mohamed, M., Porterfield, T., & Chakraborty, J., Cross-cultural effects on graphical password memorability and design. Journal of Systems and Information Technology. 2021.
    • Hunt, S., & Chakraborty, J., Dose verification errors in hospitals: literature review of the eMAR-based systems used by nurses. Journal of Nursing Care Quality, Volume, 36, Issue 2, Pages 182-187. 2021
    • Yin, Y., Alqahtani, Y., Feng, J. H., Chakraborty, J., & McGuire, M. P., Classification of eye tracking data in visual information processing tasks using convolutional neural networks and feature engineering. SN Computer Science, Vol. 2, Issue 2, Pages 1-26. 2021
    • Alnahari, M. M., Chakraborty, J., & Mohamed, M., Web Accessibility Research and Practice: The need for Arabic Web Accessibility Improvement. International Journal of Art, Culture and Design Technologies, Vol. 10, Issue 1, Pages 36-49. 2021.
    • Hunt, S., & Chakraborty, J., Dose Verification Errors in Hospitals: Literature Review of the eMAR-based Systems Used by Nurses. Journal of Nursing Care Quality. 2020.
    • Mohamed, M., Chakraborty, J., & Pillutla, S., Effects of culture on graphical password image selection and design. Journal of Systems and Information Technology. 2020.
  • Conference Papers
    • Y. Yin, Y. Alqahtani, J. H. Feng, J. Chakraborty and M. P. McGuire, "Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences," 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021, pp. 601-605
    • Nicholson, S., Chakraborty, J., Ali-Gombe, A., & Hammell II, R. J. (2021). Data Sharing and Exposure: Findings from Descriptive and Network Analysis of Instant Games on Facebook. In Proceedings of the Conference on Information Systems Applied Research ISSN (Vol. 2167, p.1508).
    • Oladapo, H., & Chakraborty, J. (2021, July). Cross-Cultural Differences of Designing Mobile Health Applications for Africans. In International Conference on Human-Computer Interaction (pp. 554-563). Springer, Cham.
    • Oladapo, H., Owusu, E., & Chakraborty, J. Effects of Culturally Tailored User Interface Design. In International Conference on Applied Human Factors and Ergonomics. Springer, Cham. July, 2021. 845-853.
    • Owusu, E., & Chakraborty, J., Preliminary Findings of a User Centered Design Study of Mobile Health Technology for Ghanaian Migrant Families. In Cambridge Workshop on Universal Access and Assistive Technology. Springer, Cham. March, 2020. 87-96.
  • Natalie M. Scala, Paul L. Goethals, Josh Dehlinger, Yeabsira Mezgebe, Betelhem Jilcha, Isabella Bloomquist, “Evaluating Mail-Based Security for Electoral Processes Using Attack Trees,” in Risk Analysis, 1– 17, 2022, https://doi.org/10.1111/risa.13876.
  • Sam Peacock, Lin Deng, Josh Dehlinger, Suranjan Chakraborty. Automatic Equivalent Mutants Classification Using Abstract Syntax Tree Neural Networks. In Proceedings IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2021, pp. 13-18, doi: 10.1109/ICSTW52544.2021.00016.
  • Rajesh Kumar Gnanasekaran, Suranjan Chakraborty, Josh Dehlinger, Lin Deng. Using Recurrent Neural Networks for Classification of Natural Language-based Non-functional Requirements. In Joint Proceedings of REFSQ-2021 Workshops, OpenRE, Posters and Tools Track, and Doctoral Symposium, Virtual, April 12, 2021.
  • Garret Partenza, Trevor Amburgey, Lin Deng, Josh Dehlinger, Suranjan Chakraborty. Automatic Identification of Vulnerable Code: Investigations with an AST-Based Neural Network. To appear: AIML 2021: Advances in Artificial Intelligence & Machine Learning: Applications, Challenges & Concerns, Virtual, July 12, 2021. 
  • David S. Gibson, Vijay Anand, Josh Dehlinger, Charles Dierbach, Tracy Emmersen, Andrew Phillips, "Accredited Undergraduate Cybersecurity Degrees: Four Approaches," in Computer, 52(3):38-47, March 2019.
  • Weifeng Xu, Lin Deng and Dianxiang Xu, Towards Designing Shared Digital Forensics Instructional Materials, 46th Annual IEEE Computer Software and Applications Conference (COMPSAC 2022), June 2022.
  • Honghe Zhou*, Lin Deng, Weifeng Xu, Wei Yu, Josh Dehlinger and Suranjan Chakraborty, Towards Internet of Things (IoT) Forensics Analysis on Intelligent Robot Vacuum Systems, 20th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2022), May 2022, Las Vegas, NV.
  • Lin Deng, Bingyang Wei, Jin Guo, Matt Benke, Tyler Howard*, Matt Krause* and Aman Patel*, Securing Sensitive Data in Java Virtual Machines, 20th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2022), May 2022, Las Vegas, NV.
  • Bingyang Wei, Lin Deng and Yi Wang, A Practical Style Guide and Templates Repository for Writing Effective Use Cases, 20th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA 2022), May 2022, Las Vegas, NV.
  • Suranjan Chakraborty, Lin Deng, and Josh Dehlinger, Towards Authentic Undergraduate Research Experiences in Software Engineering and Machine Learning, 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI 2021), August 2021, Athens, Greece.
  • Garrett Partenza*, Trevor Amburgey*, Lin Deng, Josh Dehlinger and Suranjan Chakraborty, Automatic Identification of Vulnerable Code: Investigations with an AST-Based Neural Network, 4th IEEE International Workshop on Advances in Artificial Intelligence & Machine Learning (AIML 2021): Applications, Challenges & Concerns, July 2021, Spain.
  • Rajesh Kumar Gnanasekaran*, Suranjan Chakraborty, Josh Dehlinger, and Lin Deng, Using Recurrent Neural Networks for Classification of Natural Language-based Non-functional Requirements, 4th International Workshop on Natural Language Processing for Requirements Engineering (NLP4RE 2021), April 2021, Germany.
  • Samuel Peacock*, Lin Deng, Josh Dehlinger, and Suranjan Chakraborty, Automatic Equivalent Mutants Classification Using Abstract Syntax Tree Neural Networks, 16th International Workshop on Mutation Analysis (Mutation 2021), April 2021, Porto de Galinhas, Brazil.
  • Lin Deng, Josh Dehlinger, and Suranjan Chakraborty, Teaching Software Testing with Free and Open Source Software, 1st International Software Testing Education Workshop (TestEd 2020), March 2020, Porto, Portugal.
  • Nicholas Saccente*, Josh Dehlinger, Lin Deng, Suranjan Chakraborty, and Yin Xiong*, Project Achilles: A Prototype Tool for Static Method-Level Vulnerability Detection of Java Source Code Using a Recurrent Neural Network, 1st International Workshop on Software Engineering Intelligence (SEI 2019), November 2019, San Diego, CA.
  • Wesley Dingman*, Aviel Cohen*, Nick Ferrara*, Adam Lynch*, Patrick Jasinski*, Paul E. Black and Lin Deng, Defects and Vulnerabilities in Smart Contracts, a Classification using the NIST Bugs Framework, International Journal of Networked and Distributed Computing, Volume 7, Issue 3, August 2019, Pages 121-132.
  • Bhatia, B., Arinde, O.,Tang, Z., Feng, J., and Lawson, S. (2022), Visualization and Qualitative Analysis of Rehabilitation Exercises Based on a Mobile App, Proceedings of IEEE International Conference on Healthcare Informatics (ICHI) 22. June 2022.
  • Yin, Y., Alqahtani, Y., Feng, J., Chakraborty, J. and McGuire, M. (2021) Classification of Eye Tracking Data in Visual Information Processing Tasks Using Convolutional Neural Networks and Feature Engineering. SN Computer Science (2021) 2:59. January 2021.
  • Yin, Y., Alqahtani, Y., Feng, J., Chakraborty, J., and McGuire, P. (2021) Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences, Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA). December 2021.
  • Alshenaifi, R. and Feng, J. (2020) Investigating the use of social media in supporting children with cognitive disabilities and their caregivers from Saudi Arabia. Proceedings of the 22nd ACM International Conference on Accessible Computing. 429-430. October 2020. Article No.: 74, 1–4.
  • Oluwafemi, A. and Feng, J. (2020) How Users Perceive Authentication of Choice on Mobile Devices. Proceedings of the 13th International Conference on Advances in Computer-Human Interactions. November 2020. 345-351.
  • Washington, B and Feng, J. (2019) Investigating factors that affect Web accessibility implementation in non-profit websites. Proceedings of the 3rd ICT Accessibility Testing Symposium, November 2019, 103-111.
  • Alqahtani, Y., Chakraborty, J., McGuire, M., and Feng, J. (2019) Understanding Visual information processing for American vs. Saudi Arabian Users. In: Di Bucchianico G. (eds) Advances in Design for Inclusion. AHFE 2019. Advances in Intelligent Systems and Computing, vol 954. Springer, Cham, July 2019
  • Fahd H. Almutari and Sungchul Hong, “The Digital Transformation of Higher Education institutions in Saudi Arabia: A study for evaluation and development – a Research Plan”, The 20th International Conference on e-Learning, e-Business, Enterprise Information Systems, & e-Government EEE'21
    Publisher: Springer Nature publication
  • Fahd H. Almutari and Sungchul Hong, “Websites Evaluation Questionnaire for some Saudi Higher Education Institutions (HEIS)”, The 22nd International Conference on Internet Computing & IoT (ICOMP'21)
     Publisher: Springer Nature publication
  • Fahd H. Almutari and Sungchul Hong, “Evaluation of distance learning and students’ achievement in Saudi Higher Education Institutions (HEIs)”, The 2021 International Conference on Computational Science and Computational Intelligence (CSCI'21), Publisher: IEEE CPS and Xplore
  • Jeribi, Fathe, and Sungchul Hong, Ali Tahir, “Water Market for Jazan, Saudi Arabia”, The 18th International Conference on software Engineering Research and Practice (SERP’20: July 27 – 30), 2020, USA
  • Jeribi, Fathe, and Sungchul Hong, “Viability of Water Making from Air in Jazan, Saudi Arabia”, The 19th International Conference on Information & Knowledge, Luxor (MGM), Las Vegas, USA, 2020
  • Saad Nasser Almutwa, Sungchul Hong, “Tourism Service Auction Market for Saudi Arabia”, The 19th International Conference on e-Learning, e-Business, Enterprise Information systems, & e-Government (IEEE’20: July 27 – 30, 2020, USA), Las Vegas, USA
  • Saad Nasser Almutwa, Sungchul Hong, “An Electronic Date Market in Saudi Arabia: A Mathematical Model and Simulation”, 6th Annual Conf. on Computational Science & Computational Intelligence, Dec., 2019, Las Vegas
  • Saad Nasser Almutwa, Sungchul Hong, “An Electronic Date Market with Seller’s Consortium in Saudi Arabia: A Mathematical Model and Simulation”, 6th Annual Conf. on Computational Science & Computational Intelligence, Dec., 2019, Las Vegas
  • Conference Publications
    • Joel Weimouth, Ramesh K. Karne, Survey of Innovation in Computer Science Education with Undergraduate Emphasis, International Conference on Computational Science and Computational Intelligence, CSCI, 2021.
    • J.Weymouth, R. K. Karne, A. L. Wijesinha, and D. Naraharisetti, A Bare Machine Tool to Learn System Internals in Computer Science Education, The 5th International Conference on Information and Computer Technologies (ICICT) 2022.
    • Ordouie, N. Soundararajan, R. K. Karne, and A. L. Wijesinha, Developing Computer Applications without any OS or Kernel in a Multi-core Architecture, International Symposium on Networks, Computers and Communications (ISNCC) 2021.
    • Soundararajan, R. Karne, A. Wijesinha, N. Ordouie, H. Chang, Design Issues in Running a Webserver on Bare PC Multi-Core Architecture, IEEE 44th Annual Computers, Software,and Applications Conference (COMPSAC), 2020
    • Soundararajan, J. Weymouth, R. K. Karne, A. L. Wijesinha, and N. Ordouie, Remote Collaboration Potential in STEM Education using Bare Machine Computing Research, International Conference on Computational Science and Computational Intelligence (CSCI), 2020.
    • Soundararajan, R. K. Karne, A. L. Wijesinha, N. Ordouie, and B. S. Rawal, A Novel Client/Server Protocol for Web-based Communication over UDP on a Bare Machine, 18th IEEE Student Conference on Research and Development (SCOReD), 2020.
  • Taylor, B., Kaza, S., Zaleppa, P. (2021), “CLARK: A Design Science Research Project for Building and Sharing High-Quality Cybersecurity Curricula,” IEEE Security & Privacy, 19(5)
  • Ngwum, N., Raina, S., Aguon, S., Taylor, B., Kaza, S., (2020), “A Model for Security Evaluation of Digital Libraries: A Case Study on a Cybersecurity Curriculum Library,” Journal of The Colloquium for Information Systems Security Education, 7(1)
  • Taylor, B., Dark, M., Kaza, S. (2021), “Designing a Cybersecurity Curriculum Library: Best Practices from Digital Library Research,” The Proceedings of the National Cyber Summit Research Track, Lecture Notes in Computer Science (LCNS), Volume 310
  • Bernard, L., Raina, S., Taylor, B., and Kaza, S. (2021) “Minimizing Cognitive Overload in Cybersecurity Learning Materials: An Experimental Study using Eye-tracking.” In the Proceedings of the Fourteenth World Conference on Information Security Education, Oslo, Norway.
  • Bernard, L., Raina, S., Taylor, B., & Kaza, S. (2021). “Minimizing Cognitive Load in Cyber Learning Materials – An Eye Tracking Study.” ACM Symposium on Eye Tracking Research and Applications, 1–6.
  • Ngwum, N, Raina, S., Onwujekwe, G., Taylor, B., Kaza, S. (2020), “Security Evaluation of Digital Libraries,” Twenty-first Americas Conference on Information Systems (AMCIS 2020), Salt Lake City, UT 
  • Ngwum, N, Raina, S., Aguon, S, Kaza, S. (2019), “A Model for Security Evaluation of Digital Libraries: A Case Study on a Cybersecurity Curriculum Library”, The 23rd Colloquium for Information Systems Security Education (CISSE), Las Vegas, NV
  • Gao, C. Qian, W. G. Hatcher, W. Liao, C. Lu, and W. Yu, “Towards the Scalability of Internet of Things Search Engine,” in Proc. of IEEE Cyber Science and Technology Congress (CyberSciTech), October 2021.
  • Gao, W. Yu, F. Liang, W. G. Hatcher, and C. Lu, “Privacy-Preserving Big Data Auction Using Homomorphic Encryption,” IEEE Transactions on Network Science and Engineer (TNSE), 7(2): 776-791, 2020.
  • Journal Articles
    • McGuire, M. P., & Moore, T. W. (2022). Prediction of tornado days in the United States with deep convolutional neural networks. Computers & Geosciences, 159, 104990. 
    • Moore, T. W., J. M. St. Clair, and M. P. McGuire (2021). Climatology and trends of tornado favorable environmental ingredients in the United States. Annals of the American Association of Geographers. [in press], Available Online [https://doi.org/10.1080/24694452.2021.1910479]. 
    • Yin, Y., Y. Alqahtani, J. H. Feng, J. Chakraborty, and M.P McGuire (2021). Classification of Eye Tracking Data in Visual Information Processing Tasks Using Convolutional Neural Networks and Feature Engineering. SN Computer Science, 2(2), 1-26. 
    • Sarraf, R., and M.P. McGuire (2020). Integration and comparison of multi-criteria decision making methods in safe route planner. Expert Systems with Applications, 154, 113399. 
    • Moore, T. W and M.P. McGuire, (2019). Tornado-days in the United States by phase of the Madden–Julian oscillation and global wind oscillation. Climate Dynamics, 1-20. 
    • Moore, T. W. and M. P. McGuire (2019). “Using the standard deviational ellipse to document changes to the spatial dispersion of seasonal tornado activity in the United States.” npj Climate and Atmospheric Science. 2(1), 21. 
  • Conference/Workshop Proceedings (Juried/Refereed) 
    • Sarraf, R., & McGuire, M. P. (2021). Effect of Normalization on TOPSIS and Fuzzy TOPSIS. In Proceedings of the Conference on Information Systems Applied Research ISSN (Vol. 2167, pp. 1508). 
    • Yin, Y., Alqahtani, Y., Feng, J. H., Chakraborty, J., & McGuire, M. P. (2021, December). Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 601-605). IEEE. 
    • Peneda, M., Wang, Q., Liao, W., McGuire, M. P. (2022) A Multi-model Multi-task Learning System for Hurricane Genesis Prediction. 20th IEEE/ACIS International Conference on Software Engineering, Management, and Applications (SERA). May 25, 2022, Las Vegas, USA. 
    • Alqahtani, Y., J. Chakraborty, McGuire, M., and Feng, J. (2019) Understanding Visual information processing for American vs. Saudi Arabian Users. 10th International Conference on Applied Human Factors and Ergonomics. July 2019. 
    • Alqahtani, Y., McGuire, M., Chakraborty, J., and Feng, J. (2019) Understanding how ADHD affects visual information processing.  21st International Conference on Human-Computer Interaction. July 2019. 
  • Refereed Journal Papers
    • Pak, J., Kim, H-S., & Rhee, E. S. (2020). Characterizing social structural and linguistic behaviors of subgroup interactions: A case of online health communities for postpartum depression on Facebook. International Journal of Web-based Communities Vol. 16, No. 3, pp 225~247, Impact factor:1.050
    • Pak, J., & Zhou, L. (2013). Social Structural Behavior of Deception in Computer-Mediated Communication. Journal of Decision Support Systems (DSS), Impact factor: 5.4
  • Refereed Conference Papers
    • Song, Y-T, Pak, J. (2019). Managing chronic diseases through connected IT health framework. 716th International Conferences on Medical and Health Science (ICMHS). Zurich, Switzerland
    • Pak, J., Kim, H-S., & Rhee, E. S. (2019). Characterizing social structural and linguistic behaviors of subgroup interactions: A case of online health postpartum depression on Facebook. Health Communication Division at the annual conference of the National Communication Association. Baltimore, MD.
    • Pak, J., & Song, Y-T. (2019). An ontological approach to manage self- care health improvement path. Proceedings on 52nd Annual Hawaii International Conference on System Sciences (HICSS -52). Maui, HI. 48% acceptance rate
  • Majed Almotairi, Hamdan Ziyad Alabsi, Yahya Alqahtani, Mohammed Abdulkareem Alyami,Majed M Aljazaeri and Yeong-Tae Song, Improving Students' Readiness Toward the Labor Market Through Customized Learning, proceedings of IEEE ACIS/SERA 2022 (selected for Springer), Las Vegas, NV 
  • Kofi Osei-Tutu, Yeong-Tae Song, “A Microservices Enterprise Architecture for Healthcare Information Exchange (HIE) Development in West African Countries”, the proceedings of IIAI AAI 2021, July 2021, competitive paper award 
  • Kofi Osei-Tutu, Yeong-Tae Song, “Enterprise Architecture for Healthcare Information Exchange (HIE) Cloud Migration”, the proceedings of IEEE IMCOM 2020, Taichung, Taiwan 
  • Yeong-Tae Song, Jinie Pak, “Managing Chronic Diseases through Connected IT Health Framework“, the proceedings of ICMHS 2019, Zurich, Switzerland 
  • Emil Saweros, Yeong-Tae Song, “Connecting Personal Health Records Together with EHR using Tangle”, the proceedings of IEEE SNPD 2019, Toyama, Japan 
  • Shirin Hasavari, Yeong-Tae Song, “A Secure and Scalable Data source for Emergency Medical Care using Blockchain Technology”, the proceedings of IEEE SERA 2019, Hawaii, USA 
  • Majed Almotairi, Mohammed Abdulkareem Alyami, Yeong-Tae Song, “Enhancing employees’ competences through Customized Learning”, to appear in the proceedings of IC4E, 2019, Tokyo, Japan 
  • Emil Saweros, Yeong-Tae Song, “Connecting Heterogeneous Electronic Health Record Systems using Tangle”, to appear in the proceedings of IMCOM 2019, Phuket, Thailand 
  • Jinie Pak, Yeong-Tae Song, “Ontological Approach to Manage Self-care Health Improvement Path”, To appear in the proceedings of Hawaii52, 2019, Hawaii, USA
  • Tavakolan.M, Ismaeel A. Faridi, “Applying Privacy-Aware Policies in IoT Devices Using Privacy Metrics”, International Conference on Communications, Computing, Cybersecurity, and Informatics 2020 (CCCI2020). •
  • Tavakolan.M, Ismaeel Faridi, “Applying an Energy-Aware Security Mechanism in Healthcare Internet of Things”, 7th Annual Conf. on Computational Science & Computational Intelligence 2020 (CSCI'20).
  • Journal Publications
    • Taylor, B., Kaza,S. , Zaleppa, P. (2021), “CLARK: A Design Science Research Project for Building and Sharing High-Quality Cybersecurity Curricula,” IEEE Security & Privacy, Volume 19, Issue 5
    • Ngwum, N.,Raina, S.,Aguon, S., Taylor, B., and Kaza,S. (2020), “A Model for Security Evaluation of Digital Libraries: A Case Study on a Cybersecurity Curriculum Library,” Journal of The Colloquium for Information Systems Security Education, 7(1)
  • Refereed Conference Publications
    • Taylor, B., Dark, M., Kaza, S. (2021), “Designing a Cybersecurity Curriculum Library: Best Practices from Digital Library Research,” The Proceedings of the National Cyber Summit Research Track, Lecture Notes in Computer Science (LCNS), Volume 310
    • Bernard, L.**, Raina, S., Taylor, B., and Kaza, S. “Minimizing Cognitive Overload in Cybersecurity Learning Materials: An Experimental Study using Eye-tracking.” In the Proceedings of the fourteenth World Conference on Information Security Education, (2021), Oslo, Norway.
    • Bernard, L.**, Raina, S., Taylor, B., & Kaza, S. (2021). “Minimizing Cognitive Load in Cyber Learning Materials – An Eye Tracking Study.” ACM Symposium on Eye Tracking Research and Applications, (ETRA 21), 1-6.
    • Ngwum, N, Raina, S., Onwujekwe, G., Taylor, B., Kaza, S. (2020), “Security Evaluation of Digital Libraries”, Twenty-first Americas Conference on Information Systems (AMCIS 2020), Salt Lake City, UT
  • Extended Abstracts/Abstracts/Posters
    • Taylor, B. (2020). “Hello World! Code Responsibly: Why Cyber is a Game Changer for Computer Science Education,” Extended Abstract, CSERC '20: Proceedings of the 9th Computer Science Education Research Conference
    • Weiss, R., Siraj, A., Mache, Siraj, A., Taylor, B., Kaza, S., Chattopadhyay, A. (2019), “Discussion of Integrating Hands-on Cybersecurity Exercises into the Curriculum in 2019,” Proceedings of the 2019 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE 2018), Phoenix, AR
  • Chen, Zheyi, Weixian Liao, Pu Tian, Qianlong Wang, and Wei Yu, ”A Fairness-Aware Peerto-Peer Decentralized Learning Framework with Heterogeneous Devices,” in Future Internet 14, no. 5: 138. 2022. https://doi.org/10.3390/fi14050138
  • Qianlong Wang, Yifan Guo, Tianxi Ji, Xufei Wang, and Pan Li, “Towards Combatting COVID-19: A Risk Assessment System,” in IEEE Internet of Things Journal, Dec. 2020.
  • Qianlong Wang, Yifan Guo, Xufei Wang, Tianxi Ji, Lixing Yu, and Pan Li, “AI at the Edge: Blockchain-Empowered Secure Multiparty Learning with Heterogeneous Models,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 9600-9610, Oct. 2020.
  •  Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Geyong Min, and Pan Li, “Unsupervised Anomaly Detection in IoT Systems for Smart Cities,” IEEE Transactions on Network Science and Engineering, Sep. 2020.
  • Qianlong Wang, Yifan Guo, Lixing Yu, Xuhui Chen, and Pan Li, “Deep Q-Network based Feature Selection for Multi-Sourced Data Cleaning,” to appear in IEEE Internet of Things Journal, Aug. 2020.
  • Qianlong Wang, Tianxi Ji, Yifan Guo, Lixing Yu, Xuhui Chen, and Pan Li, “TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map,” IEEE Access, Vol. 8, pp. 60598 - 60612, Mar. 2020.
  • Tianxi Ji, Yifan Guo, Qianlong Wang, Xufei Wang, and Pan Li, “ECONOMY: Point Clouds-based Energy-efficient Autonomous Navigation for UAVs” to appear in IEEE Transactions on Network Science and Engineering, 2020.
  • Lixing Yu, Ming Li, Wenqiang Jin, Yifan Guo, Qianlong Wang, Feng Yan, and Pan Li, “STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks,” to appear in IEEE Transactions on Mobile Computing, 2020.
  • Tianxi Ji, Changqing Luo, Yifan Guo, Qianlong Wang, Lixing Yu, and Pan Li, “Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach,” IEEE Transactions on Computational Social Systems, vol. 7, no. 1, pp. 151-163, Feb. 2020.
  • Lixing Yu, Yifan Guo, Qianlong Wang, Changqing Luo, Ming Li, Weixian Liao, and Pan Li, “Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach,”
  • Weymouth, R. K. Karne, A. L. Wijesinha, and D. Naraharisetti, A Bare Machine Tool to Learn System Internals in Computer Science Education, The 5th International Conference on Information and Computer Technologies (ICICT) 2022.
  • Ordouie, N. Soundararajan, R. K. Karne, and A. L. Wijesinha, Developing Computer Applications without any OS or Kernel in a Multi-core Architecture, International Symposium on Networks, Computers and Communications (ISNCC) 2021.
  • Soundararajan, J. Weymouth, R. K. Karne, A. L. Wijesinha, and N. Ordouie, Remote Collaboration Potential in STEM Education using Bare Machine Computing Research, International Conference on Computational Science and Computational Intelligence (CSCI), 2020.
  • Soundararajan, R. K. Karne, A. L. Wijesinha, N. Ordouie, and B. S. Rawal, A Novel Client/Server Protocol for Web-based Communication over UDP on a Bare Machine, 18th IEEE Student Conference on Research and Development (SCOReD), 2020.
  • Soundararajan,, R. Karne, A. Wijesinha, N. Ordouie, and H. Chang, Design Issues in Running a Web Server on Bare PC Multi-Core Architecture, IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 2020.
  • Almansour, R. Karne, A. Wijesinha, R. Almajed, and H. Alabsi, An Upward Compatible Ethernet Device Driver for Bare PC Applications, 11th International Conference on Information and Communication Systems (ICICS), 2020.
  • Ordouie, R. Almajed, R. Karne, A. Wijesinha, J. Weymouth, and N. Soundararajan, Transformation Methodology of Binary Executables to Run on Bare Machines, 35th International Conference on Computers and Their Applications (CATA). 2020.
  • Wilbanks, Linda R. “Cyber Security Privacy Risks”, 12th International Conference on Applied Human Factors and Ergonomics, July 2021. - Wilbanks, Linda R., “Cyber Risks in Social Media”, June 2020; DOI: 10.1007/978-3-030-49570-1_27; Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, July 2020, Proceedings, Part I.
  • George Loukas, Charalampos Z. Patrikakis, Linda Wilbanks; “Digital Deception: Cyber Fraud and Online Misinformation”; February 2020; IT Professional 22(2):19-20; DOI: 10.1109/MITP.2020.2980090;
  • Wilbanks, Linda R., “What’s Your IT Risk Approach?”; June 2018; IT Professional 20(4):13-17; DOI: 10.1109/MITP.2018.043141663
  • Qian, X. Liu, C. Ripley, M. Qian, F. Liang, and W. Yu, “Digital Twin: Cyber Replica of Physical Things: Architecture, Applications and Future Research Directions,” Journal of Future Internet, 14(2), 2022.
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