Department of Computer Science

Selected Publications

Publications for the 2022 Academic Year

Soo-Yeon Ji, Ph.D. Publications, Grants, Presentation Activities

 Publications

  • PI, Designing an Interactive Web-based Visualization System to Analyze Network Behaviors using Cloud Computing, PI, Sept., 2018 _ Sept., 2022, U.S Army Research office (ARO), Department of Defense.
  • S. Y. Ji, B.K. Jeong, Charles Kamhoua, Nandi Leslie, and Dong H. Jeong, Forecasting Network Events to Estimate Attack Risk: Integration of Wavelet Transform and Vector Auto Regression with Exogenous Variables (2022), Appear to: Journal of Network and Computer Applications, Elsevier.
  • S. Y. Ji, Jeong, B. K., Jeong, D. H. (2021). Evaluating visualization approaches to detect abnormal activities in network traffic data. International Journal of Information Security, 20(3), 331-345.

Presentations

  • Bagudu, S. Y. Ji, Identifying the High-Risk Social Media Messages by Analyzing Text Information, National Conference on Undergraduate Research (NCUR), 2021
  •  Wavelet-based data analysis, University of Michigan in Ann Arbor, Jan 13 2022
  •  Research projects presentation, BSU-PGCPS Webinar (on campus) External Advisory meeting, March 116 2022
  •  ARL Research Lab Visit, Computer Science & ARL, Sept 14. 2021

Grants

  • Social Determinants of Dementia Risk and Predictive Model for Dementia Diagnosis: Variations by Nativity Status using Machine Learning Approach, NIH, Feb 2022, $118,552.00
  •  Understanding Human Emotions Associated with Attention Activities in Temporal Domain Utilizing Multimodal Data, NSF, $179,806, 2022
  •  Estimating Temporal Attack Risk with cybersecurity Data Science, NSF, $149,16, 2021
  •  Forecasting attack risks in cyber deception by monitoring attackers' behavior changes in a temporal domain, DoD, $559,376, 2021

Dr Jie Yan, Ph.D. Publications, Grants, Presentation Activities

 Publications

  • Turner, C. Richards, D. Agada, R. Jeremiah, R, Yan. J, Chapman, T. LUCID Network Monitoring and Visualization Application. Journal of The Colloquium for Information Systems Security Education, Vol.9, No.1, 2022.
  • Jie Yan, Claude Turner, Dwight Richards, Animated Commentator Enhanced Network Monitoring and Visualization Application for Cyber Security Competition. The 14th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE 2020), Guangzhou, China, December 29, 2020 - January 1, 2021
  • Weifeng Xu, Jie Yan, Daryl Stone "A Collaborative Forensic Framework for Detecting Advanced Persistent Threats" 2021 International Conference on Software Engineering and Knowledge Engineering (SEKE 2021), KSIR Virtual Conference Center, Pittsburgh, USA, July 1-10 2021. 2021.
  • Turner, C. Richards, D. Agada, R. Jeremiah, R, Yan. J, Chapman, T. LUCID Network Monitoring and Visualization Application. The 2021 conference of the Colloquium on Information Systems Security Education (CISSE 2021), Nashville, TN, USA, Oct. 4-6, 2021.
  • Maryam Taeb, Hongmei, Chi, Jie Yan, Applying Machine Learning to Analyze Anti-Vaccination on Tweets. The 2021 IEEE International Conference on Big Data (IEEE BigData 2021), Virtual, Dec. 15-18, 2021

Presentations

  • Jie Yan, "A Collaborative Forensic Framework for Detecting Advanced Persistent Threats" at SEKE 2021 conference, Virtual, Presented on July.8. 2021
  •  Research Labs and Projects Presentation for BSU-PGCPS program. Online presented on march. 16.2022
  •  NSF EiR: Detecting Vulnerabilities in Internet of Things with Deep Learning. Online presented on Nov 8 2021
  •  IEEE conference presentation entitled: Animated Commentator Enhanced Network Monitoring and Visualization Application for Cyber Security Competition. Online Dec 29 2021
  •  Jie Yan, Group presentation with Drs. Turner, Richards and Agada. “LUCID Network Monitoring and Visualization Application” at CISSE conference, Virtual. Presented on Oct 2. 2021.
  •  NSF LUCID: A Spectator Targeted Visualization System to Broaden Participation at Cyber Defense Competitions. In-person and virtual presented on Dec 10 2021
  •  NSF Targeted Infusion: Developing a Cloud-based Cryptographic Simulator for Enhancing Undergraduates' Learning Experience in Cybersecurity Education In- person and virtual 15 March 2022

Grants

  • Targeted Infusion Project: Developing a Cloud-based Cryptographic Simulator for Enhancing Undergraduates' Learning Experience in Cybersecurity Education. NSF 400,000
  •  LUCID: A Spectator Targeted Visualization System to Broaden Participation at Cyber Defense Competitions, NFS 893,000
  •  EAGER: SATC-EDU: EXPLORING VISUALIZED AND EXPLAINABLE ARTIFICIAL INTELLIGENCE TO IMPROVE STUDENTS LEARNING EXPERIENCE IN DIGITAL FORENSICS EDUCATION, NFS 64,000
  •  NSF EiR: Excellence in Research: Detecting Vulnerabilities in Internet of things with DL, NFS 728,000
  •  MIPS: Kubaza Wearable Asthma Monitor (WAM) Mobile System sponsored by MIPS 100,000
  •  NASA: AI-based hydroponically grown kale monitoring system in the simulated microgravity environment,NASA 1,000,000

Dr Honda El-Sayed, Ph.D. Publications, Grants, Presentation Activities

 Publications

  • Tanvi S. Patela, Hoda El-Sayed, “Comparative assessment of machine learning algorithms to predict severity of disease in COVID-19 patients based on eight cofactors”. Elsevier's "International Journal of Medical Informatics Journal. Pending
  • Algahtani, H. El-Sayed, “Building an intelligent framework using a novel combination of ensemble classification to predict heart disease”, ARSSS-ICAI May 2022.

Presentations

  •  Organized CETL Faculty Institute Session on Blackboard virtual March-April 2022
  •  DSEC Presentations related to the grant to Morgan State University, DoD STEM, virtual Dec 2021, March 2022
  •  Workshop on Prioritizing Diversity and Opportunity in Cybersecurity, Oct 27-28 2021

Grants

  •  The Small Bodies Node of NASA's Planetary Data System with the Minor Planet Center NASA Oct 2021, $32.5million
  •  Scalable DLT for Content Authenticity, Adobe research Oct 2021 $ 10, 000 per quarter
  •  Data Integration in Edge Computing, Radiant Jul 2021 $24,570
  •  Innovative Technologies for HIV Behavioral and Social Science Research NIH Sep 2021 $600,000, pending
  •  Subaward from Peraton company for student training and collaboration, NASA May 2022, to be determined

Dr Seonho Choi, Ph.D. Publications, Grants, Presentation Activities

 Publications

  • Hardware Watermarking for Finite State Machines, with Symmetric Circuit Encryption, arxiv.org, March 22

Presentations

  •  Incorporation of auto-grading into CS curriculum using code Post, May 3 2022

Grants

  •  Designing an interactive web-based visualization system to analyze network behaviors, DOD $590,877 continuing
  • Understanding Human Emotions Associated with Attention Activities in Temporal Domain Utilizing Multimodal Data, NSF, Feb 2022 $399.910 Pending
  • Social Determinants of Dementia Risk and Predictive Model for Dementia Diagnosis: Variations by Nativity Status using Machine Learning Approach, NIH Oct 2021 $116.982 Pending
  • Estimating Temporal Attack Risk with cybersecurity Data Science, NSF Feb 2022 $ 149.161 Pending
  • Forecasting attack risks in cyber-deception by monitoring attackers' behavior changes in a temporal domain, DOD Oct 2021 559,376

Dr Darsana Josyula, Ph.D. Publications, Grants, Presentation Activities

Publications

  •  Darsana P. Josyula, Matthew D. Goldberg, Anthony Herron, Christopher Maxey, Paul Zaidins, Timothy Clausner, Justin Brody and Don Perlis Knowledge of Self and Other Within a Broader Commonsense Setting, In Proceedings of the AAAI Fall Symposium 2021
  •  Eman Allogmani* and Darsana Josyula, “Mitigating the Effects of Class Noise Using Two-Level Filtering Learner Algorithm,” The 29th International IEEE Conference on Systems, Signals and Image Processing, IWSSIP 2022. (Accepted).
  •  Eman Allogmani* and Darsana Josyula, “Mitigating the Effects of Attribute Noise Using Two-Level Filtering Learner Algorithm” in The 2022 World Congress in Computer Science, Computer Engineering, & Applied Computing, CSCE’22. (Accepted).
  •  Eman Allogmani* and Darsana P. Josyula, Two-level Filtering Learner Applied to a Noisy Malware Dataset, International IEEE Conference on Intelligent Computing and Control Systems [ICICCS 2022] Accepted
  •  Darsana P. Josyula, Matthew D. Goldberg, Anthony Herron, Christopher Maxey, Paul Zaidins, Timothy Clausner, Justin Brody and Don Perlis Knowledge of Self and Other Within a Broader Commonsense Setting, In Proceedings of the AAAI Fall Symposium 2021
  • Timothy Clausner, Christopher Maxey, Matthew Goldberg, Paul Zaidins, Darsana Josyula, Justin Brody and Don Perlis, Overgenerality from Inference in Perspective-Taking In Proceedings of the AAAI Fall Symposium 2021
  •  Don Perlis, Clifford Bakalian, Justin Brody, Timothy Clausner, Matthew Goldberg, Adam Hamlin, Vincent Hsiao, Darsana Josyula, Chris Maxey, Seth Rabin, David Sekora, Jared Shamwell and Jesse Silverberg, Live and Learn, Ask and Tell: Agents over Tasks. In: Marchi E., Siniscalchi S.M., Cumani S., Salerno V.M., Li H. (eds) Increasing Naturalness and Flexibility in Spoken Dialogue Interaction. Lecture Notes in Electrical Engineering, vol 714. Springer, Singapore, 2021
  •  Justin Brody, Bobby Austin, Omar Khater, Christopher J. Maxey, Matthew D Goldberg, Timothy Clausner, Darsana Josyula and Don Perlis. Using Neural Networks to Control Glut in the Active Logic Machine, 15th International Workshop on Neural-Symbolic Learning and Reasoning, NeSy'20/21 @ IJCLR, 2021
  •  Francis Onodueze*, Darsana Josyula and Josef Schaff, Data Implantation - Creating Minority Samples for Extremely Imbalanced Datasets, American Council on Science & Education – CSCE 2021
  •  Bander Allogmany*, Darsana Josyula and Tagrid Alshalali*, Handling Concept Drift using LSTM based Autoencoders, The 17th International Conference on Data Science, (ICDATA’21), 2021
  •  Eman Allogmani* and Darsana Josyula, Learning with Noisy Inconsistent Data, The 17th International Conference on Data Science,(ICDATA’21), 2021

 Presentations

  •  Self- Adaptive Systems, Tutorial at International Conference on Signal Processing, Informatics, Communication and Energy Systems (IEEE SPICES 2022) March 10, 2022
  •  Knowledge of Self and Other Within a Broader Commonsense Setting, AAAI Fall Symposium, Nov 5, 2021
  •  Taking AI from the Lab to the World, BEYA 2021 Panel, Feb 11, 2021
  •  Self-Adaptive Autonomous Systems, UMD, May 16, 2022

 Grant

  •  Real Time Machine Learning for Robocalls NSF, PI, $ 110,000
  •  Development and Clinical Trial of the BRIGHT IDEAS Intelligent agent for Caregivers of Child Cancer Patients, NIH, Co-PI, $314,583
  •  Self-adaptive autonomous systems, Artiamas, PI, $236,375

 Dr Sharad Sharma, Ph.D. Publications, Grants, Presentation Activities

Publications

  • Real-Time Data Analytics of COVID Pandemic Using Virtual Reality Data analysis of crime and rates of hospitalization due to COVID-19, Book chapter conference Vol 12770. 2021
  •  Immersive Virtual Reality Training Module for Active Shooter Events, IS&T International Symposium on Electronic Imaging (EI 2021), in the Engineering Reality of Virtual Reality, Burlingame, California, January 2022.

Presentations

  •  Data visualization tool of Covid-19 and crime data (IEEECSCI), Las Vegas, Nevada, USA, Dec 15-17, 2021
  •  Data Visualization of Crime Data using Immersive Virtual Reality, IS&T International Symposium on Electronic Imaging (EI 2022), in the Engineering Reality of Virtual Reality, Hyatt Regency, San Francisco Airport, Burlingame, California, Jan 2022

Grants

  •  FW-HTF-P: Immersive Virtual Reality Instructional Modules for Active. NSF, PI $132,352
  •  Collaborative Research: CISE-MSI: RCBPRF: CPS, CNS: Emergency Response. NSF, PI $180,000

 Dr James Gil de Lamadrid, Ph.D. Publications, Grants, Presentation Activities

Publication

  •  Hardware Watermarking for Finite State Machines, with Symetric Curcuit Encryption, MDP

Publications for the 2019-2020 Academic Year

Journal Publications

S. Y. Ji, B. K. Jeong. D. Jeong, Evaluating Visualization Approaches to Detect Abnormal
Activities in Network Traffic Data, Appear to: International Journal of Information
Security, Springer, May., 2020

S. Y. Ji, B. Jeong. D. Jeong, An Analysis of Human Emotions by Utilizing Wavelet
Features, International Journal of Multimedia Data Engineering and Management, Vol. 10, Issue 4, Oct-Dec. 2019

Darsana Josyula and Tagrid Alshalali, Evaluating Extreme Learning Machine Models in The Presence of Concept Drift in Streaming Data, ICISDM - 4th International Conference on Information System and Data Mining (ICISDM), 2020
 
Darsana Josyula and Marvin Conn, Adaptive Classifiers: Applied to Radio Waveforms, Twelfth International Conference on Agents and Artificial Intelligence (ICAART), 2020

Darsana P. Josyula, Manuel F. Caro, Dalia P. Madera-Doval, Michael T. Cox, Ron Sun, Catriona M. Kennedy and Rakefet AckermanThe Double Metareasoning Cycle in the CARINA Metacognitive Architecture, Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems - ACS (2019) 518–536

Sharma, S, Rajeev,S. "Evaluation of Game-Theme Based Instructional Modules for Data Structure Concepts", International Journal of Computers and their Applications, IJCA, Vol. 27, No. 1, March 2020.

Sharma, S, Stigall, J., Bodempudi, S.T., , Scribner, D., Grynovicki, J., Grazaitis, P., "Use of Microsoft HoloLens in indoor evacuation", International Journal of Computers and their Applications, IJCA, Vol. 26, No. 1, March 2019.

Sharad Sharma, Frederick C Harris, Jr., and Sergiu M. Dascalu, (eds), Special Issue of International Journal of Computers and their Applications, IJCA, ISSN 1076-5204, Vol. 26, No. 1, March 2019.