Dr. Chutima Boonthum-Denecke Professor, Computer Science
Location: Science and Technology 120
Phone: 757-727-5082
E-mail: chutima.boonthum@hamptonu.edu
Expertise: Artificial Intelligence, Natural Language Processing, Applied Natural Language Processing, Computational Linguistics, Information Retrieval (IR), Intelligence in Information Assurance and Cyber Security, Secure Coding and Secure Software Engineering, Cognitive Robotics (CR), Assessment Tool and Feedback Systems, Intelligent Tutoring System, Web-Development & Technology, and Educational Games.

Dr. Chutima Boonthum-Denecke, Professor in Computer Science, joined the Department of Computer Science, School of Science, at Hampton University in Fall 2006 as an Assistant Professor. She earned her Ph.D. in Computer Science from Old Dominion in 2007; MS in Applied Computer Science from Illinois State University in 2000; and BS in Computer Science from Srinakharinwirot University in 1997.

Dr. Boonthum-Denecke was involved in several NSF-funded Broadening Participation in Computing (BPC) programs: ARTSI (Advancing Robotics Technology for Societal Impact) and STARS (Students and Technology in Academia, Research and Service) Alliances.

Dr. Boonthum-Denecke is also the Director of the Information Assurance and Cyber Security Center at Hampton University  (IAC@HU) and current PI of NSF CyberCorps Scholarship for Service program at Hampton University.

Curriculum Vitae(PDF File)

Books and Proceedings:

• McCarthy, P.M.  & Boonthum-Denecke, C. (Book Editors: October 2011). Applied Natural Language Processing and Content Analysis: Identification, Investigation, and Resolution. IGI Global.
• Boonthum-Denecke, C., McCarthy, P.M.  & Lamkin, T.A. (Book Editors: to be published in December 2011). Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches. IGI Global.
• Boonthum-Denecke, C. & Youngblood, G.M. (Eds.). (2013) Proceedings of the 26th Annual Florida Artificial Intelligence Research Society (FLAIRS) Conference. Menlo Park, CA: The AAAI Press.
• Eberle, W. & Boonthum-Denecke, C. (Editors, 2014). FLAIRS Poster Abstracts.  In William Eberle, Chutima Boonthum-Denecke (Eds.): Proceedings of the 27th International Florida Artificial Intelligence Research Society (FLAIRS) Conference, 519-527. Menlo Park, CA: The AAAI.

Book Chapters:

• Boonthum, C., Levinstein, I.B, & McNamara, D. S. (2006) Evaluating Self-Explanations in iSTART: Word Matching, Latent Semantic Analysis, and Topic Models. In A. Kao & S. Poteet (Eds.), Text Mining and Natural Language Processing, Springer. 91-106.
• McNamara, D. S., Boonthum, C., Levinstein, I. B. & Millis, K. (2007). Evaluating Self-Explanations in iSTART: Comparing Word-based and LSA Systems. In T. Landauer, D. S. McNamara, S. Dennis, & W. Kintsch (Eds.), LSA: A Road to Meaning. Mahwah, NJ: Erlbaum. 227-241.
• Boonthum, C., Wang, L., Olariu, S., and Zomaya, A.  (2007). Wireless Networks: Opportunities for Infrastructure-related Optimization.  UNESCO-EOLSS (Encyclopedia of Life Support Systems).
• McNamara, D. S., O’Reilly, T., Rowe, M., Boonthum, C., & Levinstein, I. B. (2007). iSTART: A Web-Based Tutor that Teaches Self-Explanation and Metacognitive Reading Strategies. In D. S. McNamara (Ed.), Reading Comprehension Strategies: Theories, Interventions, and Technologies.  397-420.
• Boonthum, C., Levinstein, I.B., McNamara, D.S., Magliano, J.P., and Millis, K.K. (2008). NLP Techniques in Intelligence Tutoring Systems.  In J. Rabunal, J. Dorado, & A. Pazos (Eds), Encyclopedia of Artificial Intelligence. Idea Group Publishing: PA.  1253-1258.
• Renner, A., McCarthy, P., Boonthum-Denecke, C., & McNamara, D.S. (2011). Maximizing ANLP Evaluation: Harmonizing Flawed Input. In P. McCarthy & C. Boonthum-Denecke(Eds), Applied Natural Language Process: Identification, Investigation, and Resolution. 438-456. IGI Global.
• Brunelle, J.F. & Boonthum-Denecke, C. (2012). Natural Language Processing Tools. In C. Boonthum-Denecke, P. McCarthy, & T. Lamkin (Eds): Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches. 9-23. IGI Global.
• Claville, M., Babu, S., Boonthum-Denecke, C., Fowlks, E., Hill, E., Lowe, Cl., Parker B., Penn-Marshall, M., Ramdon, R., & Wallace, B. (2019).  NanoHU: A Boundary-Spanning Education Model for Maximizing Human and Intellectual Capital. ACS Book. 

Journals

• McNamara, D. S. Levinstein, I. B. & Boonthum, C. (2004). iSTART: Interactive Strategy Trainer for Active Reading and Thinking. Submitted to Behavioral Research Methods, Instruments, and Computers, 36 (2), 222-233.
• Boonthum, C., Levinstein, I.B., Olariu, S., Pigli, E., Shurkova, E., and Zomaya, A.Y. (2007). Mobile computing: Opportunities for optimization research. Computer Communications 30 (4), 670-684.
• Levinstein, I.B., Boonthum, C., Pillarisetti, S.P., and McNamara, D.S.  (2007). iSTART 2: Improvements for Efficiency and Effectiveness.  Behavior Research Methods Instruments and Computers, 39 (2), 224-232.
• Gilliam, S., Magliano, J.P., Millis, K.K., Levinstein, I.B., and Boonthum, C.  (2007).  Assessing the format of the presentation of text in developing a Reading Strategy Assessment Tool (R-SAT).  Behavior Research Methods Instruments and Computers, 39 (2), 199-204.
• Magliano, J.P., Millis, K.K., The R-SAT Development Team, Levinstein, I.B., and Boonthum, C. (2011). Assessing Comprehension Strategies and Performance with the Reading Strategies Assessment Tool (R-SAT). Metacognition and Learning, 6 (2), 131-154.
• McNamara, D.S., Jackson, G.T., Boonthum, C., He, X. & Deng, Y. (2013). iSTART-ME: A Natural Language Game-Enhanced Comprehension Strategy Tutor. Journal of South China Normal Universit y(Social Science Edition), 2, 52-66. (Published in Chinese).
• Jackson, T.J., Varner, L., Boonthum-Denecke, C., & McNamara, D.S.  (2013). The Impact of Individual Differences on Learning with an Educational Game and a Traditional ITS. International Journal of Learning Technology, 8(4), 315-336.
• Jackson, T.J., Boonthum-Denecke, C., & McNamara, D.S.  (2015). Natural Language Processing and Game-based Practice in iSTART. Journal of Interactive Learning Research, 26(20), 189-208.

Recent Publications:

• Scott, C., Wynne, D., & Boonthum-Denecke, C. (2016). Examining the Privacy of Login Credentials Using Web Based Single Sign-In: Are we Giving Up Security and Privacy for Convenience? Extended Abstract – Oral Presentation, the 2016 Cybersecurity Symposium, Coeur d’Alene, ID, April 18-20, 2016.
• Wynne, D., Scott, C., & Boonthum-Denecke, C. (2016). Using Advanced Data Analytics to Detect Unknown Threats of Violent behavior through Social Networks. Extended Abstract – Poster Presentation, the 2016 Cybersecurity Symposium, Coeur d’Alene, ID, April 18-20, 2016.
• Scott, C., Wynne, D., & Boonthum-Denecke, C. (2017). Examining the Privacy of Login Credentials Using Web Based Single Sign-In: Are we Giving Up Security and Privacy for Convenience?  Cybersecurity Symposium: Your Security, Your Future 2016: Edited Proceedings Volume, IEEE.
• LaGreca, E. & Boonthum-Denecke, C. (2017). Survey on the Insecurity of the Internet of Things. In the Proceedings of 2017 ADMI Symposium – The Internet of Things, Virginia Beach, Virginia USA, March 23-26, 2017.
• Ward, J. & Boonthum-Denecke, C. (2017).  Survey on Steganography Techniques in Images. In the Proceedings of 2017 ADMI Symposium – The Internet of Things, Virginia Beach, Virginia USA, March 23-26, 2017.
• Williams, M. & Boonthum-Denecke, C. (2017). Security and Digital Forensics in Cloud Computing: Overview. In the Proceedings of 2017 ADMI Symposium – The Internet of Things, Virginia Beach, Virginia USA, March 23-26, 2017.
• Viswanathan, S. & Boonthum-Denecke, C. (2017). Sentiment Analysis – A Lexicon Based Approach for Microblogs. In the Proceedings of 2017 ADMI Symposium – The Internet of Things, Virginia Beach, Virginia USA, March 23-26, 2017.
• Nelson, W. & Boonthum-Denecke, C. (2017). Secure Coding in Nanorobotics Applications. In the Proceedings of 2017 ADMI Symposium – The Internet of Things, Virginia Beach, Virginia USA, March 23-26, 2017.
• Whitaker, A. & Boonthum-Denecke, C. (2018). Predicting Type of Irony Though Sentiment Analysis on Twitter Data.  Oral Presentation at ADMI-2018, April 5-7, 2018, New Orleans, LA. (1^st place, graduate student presentation).
• Ward, J., Barnes, D., & Boonthum-Denecke, C. (2018). Examination of Steganography Techniques in Images.  Oral Presentation at ADMI-2018, April 5-7, 2018, New Orleans, LA.   (2^nd place, graduate student presentation).
• Nelson, W. & Boonthum-Denecke, C. (2018). SecureNano API: A Framework to Secure Nanobot Applications.  Oral Presentation at ADMI-2018, April 5-7, 2018, New Orleans, LA. (1^st place, undergraduate student presentation).
• LaGreca, E. & Boonthum-Denecke, C. (2018). How a Blockchain Architecture Model Enhances the Security of the Internet of Things. Oral Presentation at ADMI-2018, April 5-7, 2018, New Orleans, LA.
• Whitaker, A. & Boonthum-Denecke, C. (2019). Integrating Machine Learning into Irony Detection Model on Twitter Data.  Oral Presentation at ADMI-2019, April 11-14, 2019, Memphis, TN. (2^nd place, graduate student presentation).
• Peterson, M. & Boonthum-Denecke, C. (2019). Investigation of Cookie Vulnerabilities.  Oral Presentation at ADMI-2019, April 11-14, 2019, Memphis, TN.
• Tucker, Z. & Boonthum-Denecke, C. (2019). Security, Privacy, and Ethical Concerns on Human Radio-Frequency Identification (RFID) Implants.  Oral Presentation at ADMI-2019, April 11-14, 2019, Memphis, TN. (1^st place, graduate student presentation).
• Collins, I. & Boonthum-Denecke, C. (2021) Artificial Intelligence Assistants: Convenient vs. Security and Privacy. (Undergraduate Oral Presentation) The 2021 ADMI Symposium, March 26-27, 2021, Virtual.
• Hammonds, O. & Boonthum-Denecke, C. (2021) Point-of-Sale Security and Privacy. (2021) (Graduate Oral Presentation) The 2021 ADMI Symposium, March 26-27, 2021, Virtual.
• Hammonds, O. & Boonthum-Denecke, C. (2021) The Impacts of Phishing Email Attacks. (Graduate Oral Presentation, 1st place winner) The 2021 ADMI Symposium, March 26-27, 2021, Virtual.
• Howard, K. & Boonthum-Denecke, C. (2021) The Importance of Web Browser Security and Privacy. (Undergraduate Oral Presentation, 3rd place winner) The 2021 ADMI Symposium, March 26-27, 2021, Virtual.
• Magee, J. & Boonthum-Denecke (2021). Machine Learning in Network Analysis. (Graduate Oral Presentation, 2nd place winner) The 2021 ADMI Symposium, March 26-27, 2021, Virtual.
• Martin, R. & Boonthum-Denecke, C. (2021). Exploring Cloud Security in Cloud Services. (Graduate Poster Presentation) The 2021 ADMI Symposium, March 26-27, 2021, Virtual.