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Recent Updates
Oct 15, 2024
SCORE lab presenting four conference papers in IEEE FIE 2024 at Washington DC.
Oct 4-9, Lab director visited Florida for ABET evaluation.
Oct 2023
Dr. Hossain Received Research Award from the College of Information.
March 24, 2024
Kossi Bissadu defended his PhD, the first PhD for the SCORE lab.
Oct 28, 2022
One paper accepted in http://aiccsa.net/
Aug 25, 2022
Invited speaker, 2022 NICE K12 Cybersecurity Education Conference to be held at the Mariott St. Louis Grand, St. Louis, Missouri
Sept 01, 2022
Accepted New position , Associate Professor - Data Science, in the Department of Information Science, at The University of North Texas, TX
August 14, 2022
Paper accepted/published in Elsevier IoT https://www.sciencedirect.com/science/article/abs/pii/S2542660522000658
July 15, 2022
Paper accepted in Elsevier Brain Research
https://www.sciencedirect.com/science/article/abs/pii/S0006899322002104
Nov Thu 11
The Honor Society of Phi Kappa Phai Recognizes the achievement of Synayana Tirumalasetty.
April 27
Dr. Hossain received TAMUK New Faculty Investment program (NFIP) 2017 - award
Feb 28
Dr. Hossain received internal grant to setup experiment for large scale wireless EEG data acquisition system development.
January 30
Research Article published in International Journal of Healthcare Information Systems and Informatics (IJHISI), 2017; by Dr. Hossain
October 30
Research Article published in eural Computing & Application (2016). Springer-Nature. Dr. Hossain as first author.
September 30
Research article published in International Journal of Advanced Research in Artificial Intelligence (IJARAI), Dr. Hossain as first author. co-author with Dr.Challoo.
August 31
Conference paper accepted in ICCIT 2016.
July 25
Research Article published in Journal of Computer and Communications, Dr.Hossain as a first author, co-authors from IUPUI.
June 30
Dr. Hossain (PI) and Dr. Challoo (Co-PI) received awards of (App $800K ) from depertment of energy
to setup Advanced Energy Simulation Laboratory.
April 30
Research article published in Journal of Interacting with Computers, Oxfor Uni press, Dr. Hossain co author with Dr. Romisa and Dr. David from IUPUI.
April 01
Research article published in Front. Hum. Neurosci., 08 March, Dr.Hossain co-authored an article with Dr.Myers.
March 24, 2016
Our paper accepted in IEEE CVPRw 2016.
March 20, 2016
Three of our project abstracts are accepted in IEEE Complex Adaptive Systems conference 2016.
Feb 04, 2016
The Security and COgnitive REcommender Systems (SCORE) Laboratory, directed by Dr. Gahangir Hossain at the University of North Texas (UNT), specializes in research on cognitive computing, AI, and machine learning models aimed at enhancing the security of cyber-human interactions and ensuring the protection of trustworthy critical cyberinfrastructures. The cybersecurity research team at SCORE Lab is dedicated in research to the protection and defense of critical cyberinfrastructures. Core research responsibilities include:
(1) Cyber Data Sources Localization: Identifying the sources of cyber incident data from diverse origins, such as individual log hosts, network traffic logs, firewall logs, and intrusion detection system (IDS) logs, which are linked to particular vulnerabilities.
(2) Secure HCI: Analyzing log files from various sources to detect potential threats to network and data security.
(3) Machine Learning and AI: Correlating incident data using machine learning to pinpoint specific vulnerabilities and providing recommendations using AI and recommender systems to facilitate swift remediation.
(4) Cyber Defense: Conducting cyber defense triage to assess the scope, urgency, and potential impact, identify specific vulnerabilities, and suggest actions for timely remediation.
(5) Real-Time Cybersecurity: Handling real-time cyber defense incidents by performing tasks such as forensic data collection, intrusion correlation and tracking, threat analysis, and direct system remediation to support deployable Incident Response Teams (IRTs).
(6) Cognitive Cybersecurity Recommenders: Designing and developing cognitive recommender systems to process and analyze network alerts from multiple enterprise sources, identifying possible causes for these alerts.
The lab also studies cognitive and brain informatics, usability analysis, causal inferences, and synchrony analysis for cyber-human collaborative sensemaking. Our research is based on big data from cyber-human interactions and theories from cognitive neuroscience. Recently, the lab conducted a variety of cognitive and behavioral experiments with algorithm engineering and probabilistic modeling, focusing on applications in cybersecurity, business, and medical informatics. The Cognitive Recommender system wing of SCORE lab is dedicated to exploring five overarching research pertaining to the design of resilient, dependable, supportive, and adaptable cyber systems.
(1) Cognitive Engineering: research on designing, developing, and optimizing systems that enhance human cognition and decision-making, often by integrating artificial intelligence (AI), machine learning (ML), and human-computer interaction (HCI).
(2) Knowledge Engineering and Management: responsible for designing, developing, and managing recommender systems that capture, store, and utilize knowledge to support decision-making and enhance AI-driven processes.
(3) Prompt Engineering: designing, optimizing, and fine-tuning AI model prompts to ensure accurate, effective, and relevant responses aiding to cognitive recommender systems with assistive technology tools and chat bots.
(4) Systems Engineering: Research on designing, implementing, and maintaining complex systems, ensuring availability, reliability, efficiently and sustainability in meeting the overall objectives of the system.
(5) Cognitive Neuroscience and Health Informatics: the multidisciplinary research combines principles from cognitive neuroscience, health informatics, and data science focusing on understanding how brain functions relate to health data, patient outcomes, and healthcare systems.
In summary, the SCORE Lab aspires to offer concepts, algorithms, experiments, frequently asked questions, and tutorials to facilitate the reimagining of systems and models, ultimately leading to a future cyber environment and system design that is both effective and secure, while also fostering sustainability.
Present Projects:
(1) Critical Cyber-Infrastructures: Cybersecurity Risk Prediction, Assessment and Protection
a. Food and Agriculture Cybersecurity- Agriculture 5.0
Lead researchers: Dr. Kossi Bissadu, Dr.Gahangir Hossain, Salleh Shonko, Pavani Velagala
Project Summary:
b. Critical Cyberinfrastructures and Cybersecurity:
Lead researchers: Dr.Gahangir Hossain, Prashant Vajpayee, Bryan Anderson
Project Summary:
c. Healthcare Cybersecurity - Healthcare 5.0
Lead researchers: Pavani Velagala and Dr.Gahangir Hossain, Yahya Awaad, Nusrat Mary
Project Summary:
d. Cybersecurity Economics - Industry 5.0
Lead researchers: Prashant Vajpayee and Dr.Gahangir Hossain, Yara M. Salman
Project Summary:
(2) Cybersecurity Information Sciences
a. Cognitive Recommender Systems
Lead researchers: Dr.Gahangir Hossain, Nusrat Mary
b. Cognitive Cyber Optimization
Lead researchers: Dr.Gahangir Hossain, Bryan Anderson
c. Cybersecurity Education, Curriculum, Pathways Design
Lead researchers: Dr.Gahangir Hossain and all lab members.
d. Cybersecurity Workforce Development
d. Cybersecurity Knowledge Engineering
Lead researchers: Dr.Gahangir Hossain, Yahya Awaad.
Funded Projects:
PERFECT: Providing Education and Resources for Effective Cybersecurity Training: STEM 9th to 12th Grade School Students, $600K from ONR (2022 -2025)
Minority Cyber-CREWS: Minority Community Cybersecurity Research, Educational Engagement, Workforce development, and Security Best Practices. $1M from DHS (2023 -2027)
Past Research Projects:
For Ph.D. students:
Our lab is accepting self-motivated and hardworking Ph.D. students in Cyber data science and security areas. For more details email to Dr.Hossain (gahangir.hossain AT unt.edu).
Fully funded Ph.D. opportunity :
Our department is accepting Ph.D. students in Information Science ( Data Science or Cybersecurity).
To work in the CORE lab with Dr.Hossain, preferences will be given to the following research areas:
1. Cognitive approaches in Cyber Threats Detection and Prevention: Case study Ransomware
2. Mobile Cloud Security: Security as a Service
3. Cognitive modeling for location-aware phishing attacks (IDCS)
4. New/Cognitive Approach to MFA for Next Generation 5G/6G
5. Distributed algorithms and engineering for IoT Vulnerabilities Assessment and Modeling
6. Cybersecurity Management for Critical Cyberinfrastructure: Attack Surface Management
7. Critical Cyberinfrastructure Cybersecurity and Threat Intelligence Services
8. Cybersecurity Management in Smart Rooms for Elder Care: Secure Assistive Living
9. HealthFirst: Cognitive Modeling for Unhealthy Cyber Behavior
10.CyberTutor: An Intelligent Tutoring System for Basic Cybersecurity Awareness Training
If you are motivated by any of these topics, you can send a statement of purpose (SOP), your resume (including GRE, TOEFL, IELTS, or other scores), and transcripts to Dr. Hossain (gahangir.hossain AT unt.edu). Good Luck!
Dr.Hossain received Microsoft Azure Research Award (20K + 20K) for two research projects.
Nov 3, 2015
Dr. Hossain received two internal grants; one as a PI and another as co-PI from TAMUK, TX.
Oct 23, 2015
Our team presented three research posters in Texas A&M University System 12th annual Pathways Student Research, held in TAMU-CC,TX.
July 29, 2015
Two posters accepted in Cell Symposium: Engineering the Brain – Technologies for Neurobiological Applications; October 15-16, 2015; Chicago, IL, USA.
May 20, 2015
Two papers and two posters accepted in 2015 IEEE National Aerospace and Electronics Conference & Ohio Innovation Summit (NAECON-OIS), 16-19 June 2015, Dayton, Ohio.
April 20
Jame's work accepted in Indy Big data conference 2015.
Spring 2015
Two students graduated. Joshua Elkin's masters project titled "Analysis of Multi-nomial Processing Models in Visual Cognitive Effort Diagnostics" and James Haarbauer worked on "Causal Analysis of User Search Query Intent: Big-data Perspective".
We received IUCEG grant $10K ( co-PI) titled "A Novel Approach for a New Course in Integrated Sensor Systems, A Senior Multidisciplinary Course Within Electrical and Computer Engineering Program".
March 2015
Two paper accepted in the 45th Annual Frontiers in Education (FIE) Conference 2015, El Paso, TX, USA.
Dec 2014
Two paper accepted 17th International Conference on Human-Computer Interaction (HCII 2015) conference, Los Angles, CA, USA.