Available for Collaboration

Natheer Khasawneh, Ph.D.

AI & Computer Vision Researcher · Robotics Systems Architect · Innovation Leader

Nearly 20 years bridging advanced R&D and industry applications across Artificial Intelligence, Computer Vision, and Intelligent Robotic Systems.

20+Years Experience
$1.65M+Research Funded
8+Graduate Students

About

Dr. Natheer Khasawneh is an educator, researcher, and practitioner with nearly two decades of experience at the intersection of advanced R&D and real-world industry applications. Holding a Ph.D. in Computer Engineering, he has built and led programs across the United States, Jordan, and the UAE — consistently translating cutting-edge research into practical impact.

His work spans university-level academic leadership, defense-sector consulting, and funded research in AI, autonomous systems, and cybersecurity. He is recognized for his ability to mentor engineers, build research cultures, and deliver solutions that matter.

🤖
AI & Machine Learning
Deep learning, computer vision, neural architectures
🚁
Autonomous Systems
UAV/UGV navigation, ROS, sensor fusion
🔒
Cybersecurity
Secure software development, information security
🎓
Academic Leadership
Curriculum design, program establishment, accreditation

Work Experience

Software Development Consultant
Knowledge Point LLC · Abu Dhabi, UAE
2019 – Present
  • Provide strategic guidance and technical expertise to the defense industry
  • Lead R&D initiatives in AI, software engineering, and automation
  • Develop AI strategies and deploy real-world solutions
  • Mentor engineers and developers across multidisciplinary teams
Faculty – Information Security Engineering Technology
Abu Dhabi Polytechnic · UAE
2012 – 2019
  • Established the Information Security Engineering program from the ground up
  • Designed curriculum aligned with industry standards and accreditation requirements
  • Developed Secure Software Development courses
  • Participated actively in institutional accreditation processes
Associate Professor – Software Engineering
Jordan University of Science and Technology · Jordan
2005 – 2012
  • Established the Software Engineering program
  • Supervised 8 Master's theses and multiple graduation projects
  • Led research initiatives in AI and Software Engineering
  • Forged international research collaborations
  • Served as MIS Department Chair

Education

Doctorate
Ph.D. in Computer Engineering
University of Akron
2002 – 2005 · Akron, Ohio, USA
Graduate
M.Sc. in Computer Science
University of Akron
1999 – 2002 · Akron, Ohio, USA
Undergraduate
B.Sc. in Electrical Engineering
Jordan University of Science and Technology
1994 – 1999 · Irbid, Jordan

Projects & Research

Selected funded R&D initiatives spanning AI, autonomous systems, and cybersecurity.

AI · LLM
$320K

LLM Offline Deployment

Architected and deployed large language model systems in air-gapped, offline defense environments ensuring data sovereignty and operational security.

2024
Robotics · Navigation
$380K

UGV Autonomous Navigation

Developed autonomous ground vehicle navigation systems with advanced obstacle avoidance, path planning, and real-time sensor fusion capabilities.

2022
Security · Data
$185K

Secure Data Transfer System

Designed and implemented a secure data transfer architecture for sensitive operational environments with end-to-end encryption and integrity verification.

2021
UAV · Surveillance
$450K

UAV Surveillance System

Led development of an unmanned aerial vehicle surveillance platform integrating computer vision for real-time object detection and tracking.

2020
Computer Vision
$220K

License Plate Recognition

Built a high-accuracy automated license plate recognition system using deep learning, optimized for challenging real-world lighting and angle conditions.

2018
NLP · Arabic
$95K

Arabic Speech-to-Text

Developed an Arabic language speech recognition system addressing the unique challenges of dialectal variation and limited training data availability.

2016

Skills & Technologies

Research Domains
Artificial Intelligence Computer Vision Robotics Autonomous Systems Cybersecurity Deep Learning
Tools & Frameworks
Python Java ROS Deep Learning Frameworks UAV/UGV Platforms
Professional Strengths
R&D Leadership Curriculum Design Program Accreditation Defense Consulting Graduate Supervision International Collaboration

Research Interests

🧠
Deep Learning & Computer Vision
Object DetectionYOLOFaster R-CNNTransfer LearningImage Classification
🫀
Biomedical Signal Processing
EEG AnalysisSleep Stage ScoringK-Complex DetectionOSA DetectionNeuro-Fuzzy Systems
🏥
Medical Imaging & Healthcare AI
COVID-19 DetectionChest X-Ray AnalysisCNNsSpirometryClinical Decision Support
🌿
Agricultural AI
Plant Disease DetectionCrop MonitoringDeep LearningSustainability
💬
Natural Language Processing
Arabic NLPText CategorizationSpeech RecognitionLLMsChatGPT Applications
🔐
Cybersecurity & Secure Systems
Malicious Code DetectionSecure CommunicationWeb SecurityAir-Gapped Systems
🌐
Web Engineering & Mining
Web Usage MiningReverse EngineeringWeb ServicesRough Sets
🤝
Human–Computer Interaction
Sign Language RecognitionGesture InterfacesKinectPhysiotherapy Games

Publications

My research focuses on applied artificial intelligence, computer vision, and intelligent autonomous systems, with an emphasis on transforming advanced research into real-world, deployable solutions in areas such as robotics, cybersecurity, and defense technologies.

28 journal articles & 10 conference papers. Google Scholar Profile ↗

Journal
Visual identification of sleep spindles in EEG waveform images using deep learning object detection (YOLOv4 vs YOLOX)
M. Fraiwan and N. Khasawneh
Cluster Computing, vol. 27, pp. 13,607–13,620, 2024
DOI ↗
2024
Journal
A review of ChatGPT applications in education, marketing, software engineering, and healthcare: Benefits, drawbacks, and research directions
M. Fraiwan and N. Khasawneh
arXiv preprint, 2023
DOI ↗
2023
Journal
A dataset of COVID-19 X-ray chest images
M. Fraiwan, N. Khasawneh, B. Khassawneh, and A. Ibnian
Data in Brief, vol. 47, 2023
DOI ↗
2023
Journal
Classification of corn diseases from leaf images using deep transfer learning
M. Fraiwan, E. Faouri, and N. Khasawneh
Plants, vol. 11, p. 2668, 2022
DOI ↗
2022
Journal
Multiclass classification of grape diseases using deep artificial intelligence
M. Fraiwan, E. Faouri, and N. Khasawneh
Agriculture, vol. 12, no. 10, 2022
DOI ↗
2022
Journal
On using deep artificial intelligence to automatically detect apple diseases from leaf images
M. Fraiwan, E. Faouri, and N. Khasawneh
Sustainability, vol. 14, p. 10,322, 2022
DOI ↗
2022
Journal
Automatic detection of tomato diseases using deep transfer learning
N. Khasawneh, E. Faouri, and M. Fraiwan
Applied Sciences, vol. 12, p. 8467, 2022
DOI ↗
2022
Journal
Detection of K-complexes in EEG signals using deep transfer learning and YOLOv3
N. Khasawneh, M. Fraiwan, and L. Fraiwan
Cluster Computing, vol. 26, 2022
DOI ↗
2022
Journal
Detection of K-complexes in EEG waveform images using Faster R-CNN and deep transfer learning
N. Khasawneh, M. Fraiwan, and L. Fraiwan
BMC Medical Informatics and Decision Making, vol. 22, 2022
DOI ↗
2022
Journal
Non-contact spirometry using a mobile thermal camera and AI regression
L. Fraiwan, N. Khasawneh, K. Lweesy, M. Elbalki, A. Almarzooqi, and N. Abu Hamra
Sensors, vol. 21, no. 22, 2021
DOI ↗
2021
Journal
Detection of COVID-19 from chest X-ray images using deep convolutional neural networks
N. Khasawneh, M. Fraiwan, L. Fraiwan, B. Khassawneh, and A. Ibnian
Sensors, vol. 21, no. 17, 2021
DOI ↗
2021
Journal
A Kinect-based system for Arabic sign language to speech translation
M. Fraiwan, N. Khasawneh, H. Ershedat, I. Al-Alali, and H. AlKofahi
International Journal of Computer Applications in Technology, vol. 52, pp. 117–126, 2015
DOI ↗
2015
Journal
Employing physical distance in ranking image-search results
N. Khasawneh, R. Hailat, and A. Al-Hammouri
International Journal of Intelligent Information and Database Systems, vol. 8, p. 324, 2014
DOI ↗
2014
Journal
Automated sleep stage identification system based on time–frequency analysis of a single EEG channel and random forest classifier
L. Fraiwan, K. Lweesy, N. Khasawneh, H. Wenz, and H. Dickhaus
Computer Methods and Programs in Biomedicine, vol. 108, no. 1, pp. 10–19, 2012
DOI ↗
2012
Journal
Analysis and identification of malicious JavaScript code
M. Fraiwan, R. Al-Salman, N. Khasawneh, and S. Conrad
Information Security Journal: A Global Perspective, vol. 21, pp. 1–11, 2012
DOI ↗
2012
Journal
Combining decision tree classifiers: A case study of automatic sleep stage scoring
N. Khasawneh, S. Conrad, L. Fraiwan, E. Taqieddin, and B. Khassawneh
International Journal of Knowledge Engineering and Data Mining, vol. 2, pp. 60–75, 2012
DOI ↗
2012
Journal
A generic framework for collecting and mining client paradata for web applications
N. Khasawneh, R. Al-Salman, A. Al-Hammouri, and S. Conrad
Journal of Emerging Technologies in Web Intelligence, vol. 4, pp. 324–332, 2012
DOI ↗
2012
Journal
Vision-based presentation modeling of web applications: A reverse engineering approach
N. Khasawneh, O. Samarah, S. Omari, and S. Conrad
Journal of Emerging Technologies in Web Intelligence, vol. 4, 2012
DOI ↗
2012
Journal
Time frequency analysis for automated sleep stage identification in full-term and preterm neonates
L. Fraiwan, K. Lweesy, N. Khasawneh, M. Fraiwan, H. Wenz, and H. Dickhaus
Journal of Medical Systems, vol. 35, pp. 693–702, 2011
DOI ↗
2011
Journal
Adaptive neuro-fuzzy inference system for automatic sleep multistage level scoring employing EEG, EOG, and EMG extracted features
N. Khasawneh, M. Jaradat, L. Fraiwan, and M. Al-Fandi
Applied Artificial Intelligence, vol. 25, pp. 163–179, 2011
DOI ↗
2011
Journal
On using classification techniques for corpus reduction in Arabic text-to-speech systems
N. Khasawneh, M. Khudair, and M. Fraiwan
International Journal of Computers and Applications, vol. 33, 2011
DOI ↗
2011
Journal
New automated detection method of OSA based on artificial neural networks using P-wave shape and time changes
K. Lweesy, L. Fraiwan, N. Khasawneh, and H. Dickhaus
Journal of Medical Systems, vol. 35, pp. 723–734, 2011
DOI ↗
2011
Journal
Classification of sleep stages using multi-wavelet time frequency entropy and LDA
L. Fraiwan, K. Lweesy, N. Khasawneh, M. Fraiwan, H. Wenz, and H. Dickhaus
Methods of Information in Medicine, vol. 49, pp. 230–7, 2010
DOI ↗
2010
Journal
Feature reduction techniques for Arabic text categorization
R. Duwairi, M. Al-Refai, and N. Khasawneh
JASIST, vol. 60, pp. 2347–2352, 2009
DOI ↗
2009
Conference
A framework for crowd-sourced exercise data collection and processing
N. Khasawneh, C. Schulte, and M. Fraiwan
11th International Conference on Information and Communication Systems (ICICS), 2020
DOI ↗
2020
Conference
Analysis and classification of Arabic crowd-sourced news reports: A case study of the Syrian crisis
M. Fraiwan, B. Al-Younes, O. Al-Jarrah, and N. Khasawneh
12th International Conference on Innovations in Information Technology (IIT), 2016
DOI ↗
2016
Conference
Therapy central: On the development of computer games for physiotherapy
M. A. Fraiwan, N. Khasawneh, A. Malkawi, M. Al-Jarrah, R. Alsa'di, and S. Al-Momani
9th International Conference on Innovations in Information Technology (IIT), 2013
DOI ↗
2013
Conference
An Arabic sign language computer interface using the Xbox Kinect
H. Ershaed, I. Al-Alali, H. AlKofahi, N. Khasawneh, and M. Fraiwan
Third Annual Conference on Undergraduate Research on Applied Computing (URC2011), 2011
2011
Conference
Incremental updates of dominance-based approximations
C.-C. Chan, N. Khasawneh, and F. M. Chang
IEEE International Conference on Systems, Man and Cybernetics, 2010
DOI ↗
2010
Conference
Converting web applications into standard XML web services: Two case studies
N. Khasawneh, M. A. Shatnawi, and M. Fraiwan
10th International Conference on Intelligent Systems Design and Applications (ISDA), 2010
DOI ↗
2010
Conference
Stemming versus light stemming as feature selection techniques for Arabic text categorization
R. Duwairi, M. Al-Refai, and N. Khasawneh
Innovations in Information Technologies (IIT), 2007
DOI ↗
2007
Conference
Multidimensional sessions comparison method using dynamic programming
N. Khasawneh and C.-C. Chan
Innovations in Information Technologies (IIT), 2007
DOI ↗
2007
Conference
Active user-based and ontology-based web log data preprocessing for web usage mining
N. Khasawneh and C.-C. Chan
IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2006
DOI ↗
2006
Conference
Web usage mining using rough sets
N. Khasawneh and C.-C. Chan
NAFIPS 2005 — Annual Meeting of the North American Fuzzy Information Processing Society, 2005
DOI ↗
2005

Contact

Open to research collaborations, consulting engagements, and academic partnerships.

Email
natheer@just.edu.jo