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Dr. Mohammed Aledhari

Assistant Professor

University of North Texas

Department of Information Science

(940-565-3641) -

Email: Mohammed.Aledhari@unt.edu

Education

  • PhD, Western Michigan University, 2017
    Major: Computer Science
    Specialization: AI/ML
    Dissertation: A Deep Learning-Based Data Minimization Algorithm for Big Genomics Data in Support of loT and Secure Smart Health Services

Professional Memberships

  • American Society for Quality. (2017 - Present).
  • Association for Computing Machinery. (2016 - Present).
  • Institute of Electrical and Electronics Engineers. (2014 - Present).

Teaching

Teaching Experience

    University of North Texas

  • DTSC 5505 - Applied Machine Learning for Data Scientists, 5 courses.
  • INFO 4910 - Special Problems, 1 course.
  • INFO 5505 - Applied Machine Learning for Data Scientists, 4 courses.
  • INFO 6900 - Special Problems, 2 courses.

Directed Student Learning

  • Dissertation Committee Chair, Information Science. (August 2022).

Awards and Honors

  • 2022 NSF Game Changer Academies for Advancing Research Innovation, NSF. (2022).
  • CRA Best Mentor in North American Colleges and Universities Award, CRA. (January 1, 2023).
  • NASA STEM Enrichment and Leadership Enhancement Award, NASA. (January 1, 2023).
  • NSF Game Changer Academies (CGCA) Advanced Panel Fellow Program, NSF. (January 1, 2023).
  • NSF Game Changer Academies (CGCA) Program Award, NSF. (January 1, 2023).

Research

Published Intellectual Contributions

    Conference Proceeding

  • Aledhari, M., Razzak, R., Parizi, R.M., Srivastava, G. (2021). Multimodal Machine Learning for Pedestrian Detection. IEEE Vehicular Technology Conference. 2021-April https://api.elsevier.com/content/abstract/scopus_id/85112406615
  • Aledhari, M., Razzak, R., Parizi, R.M., Srivastava, G. (2021). Sensor Fusion for Drone Detection. IEEE Vehicular Technology Conference. 2021-April https://api.elsevier.com/content/abstract/scopus_id/85112401473
  • Aledhari, M., Razzak, R., Parizi, R.M., Srivastava, G. (2021). Deep Neural Networks for Detecting Real Emotions Using Biofeedback and Voice. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 12664 LNCS 302-309. https://api.elsevier.com/content/abstract/scopus_id/85103460753
  • Aledhari, M., Razzak, R. (2020). An Adaptive Segmentation Technique to Detect Brain Tumors Using 2D Unet. Proceedings - 2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020. 2328-2334. https://api.elsevier.com/content/abstract/scopus_id/85100332648
  • Aledhari, M., Razzak, R., Parizi, R.M., Dehghantanha, A. (2020). A Deep Recurrent Neural Network to Support Guidelines and Decision Making of Social Distancing. Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020. 4233-4240. https://api.elsevier.com/content/abstract/scopus_id/85103829199
  • Aledhari, M., Parizi, R.M., Dehghantanha, A., Choo, K.K. (2019). A Hybrid RSA algorithm in support of IoT greenhouse applications. Proceedings - IEEE International Conference on Industrial Internet Cloud, ICII 2019. 233-240. https://api.elsevier.com/content/abstract/scopus_id/85085936644
  • Aledhari, M., Joji, S., Hefeida, M., Saeed, F. (2019). Optimized CNN-based Diagnosis System to Detect the Pneumonia from Chest Radiographs. Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019. 2405-2412. https://api.elsevier.com/content/abstract/scopus_id/85084331555
  • Aledhari, M., Di Pierro, M., Saeed, F. (2018). A Fourier-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets. Proceedings - 2018 IEEE International Congress on Big Data, BigData Congress 2018 - Part of the 2018 IEEE World Congress on Services. 128-134. https://api.elsevier.com/content/abstract/scopus_id/85057766459
  • Aledhari, M., Marhoon, A., Hamad, A., Saeed, F. (2017). A New Cryptography Algorithm to Protect Cloud-Based Healthcare Services. Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017. 37-43. https://api.elsevier.com/content/abstract/scopus_id/85029361992
  • Aledhari, M., Hefeida, M.S., Saeed, F. (2016). A variable-length network encoding protocol for big genomic data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9674 212-224. https://api.elsevier.com/content/abstract/scopus_id/84978968786
  • Aledhari, M., Saeed, F. (2015). Design and Implementation of Network Transfer Protocol for Big Genomic Data. Proceedings - 2015 IEEE International Congress on Big Data, BigData Congress 2015. 281-288. https://api.elsevier.com/content/abstract/scopus_id/84959452732

    • Journal Article

  • Aledhari, M. (2024). Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques. Internet of Things. No. IEEE.
  • Aledhari, M., Razzak, R., Qolomany, B., Al-Fuqaha, A., Saeed, F. (2022). Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions. IEEE Access. 10 31306-31339. https://api.elsevier.com/content/abstract/scopus_id/85126555606
  • HaddadPajouh, H., Dehghantanha, A., M. Parizi, R., Aledhari, M., Karimipour, H. (2021). A survey on internet of things security: Requirements, challenges, and solutions. Other. 14 https://api.elsevier.com/content/abstract/scopus_id/85115019256
  • Aledhari, M., Razzak, R., Parizi, R.M. (2021). Machine learning for network application security: Empirical evaluation and optimization. Other. 91 https://api.elsevier.com/content/abstract/scopus_id/85101838345
  • Shahid, O., Nasajpour, M., Pouriyeh, S., Parizi, R.M., Han, M., Valero, M., Li, F., Aledhari, M., Sheng, Q.Z. (2021). Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance. Other. 117 https://api.elsevier.com/content/abstract/scopus_id/85104356194
  • Yazdinejad, A., Parizi, R.M., Dehghantanha, A., Karimipour, H., Srivastava, G., Aledhari, M. (2021). Enabling Drones in the Internet of Things with Decentralized Blockchain-Based Security. Other. 8 (8) 6406-6415. https://api.elsevier.com/content/abstract/scopus_id/85097148493
  • Tariq, M.U., Haseeb, M., Aledhari, M., Razzak, R., Parizi, R.M., Saeed, F. (2021). Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey. IEEE Access. 9 5497-5516. https://api.elsevier.com/content/abstract/scopus_id/85098771417
  • Yazdinejad, A., Srivastava, G., Parizi, R.M., Dehghantanha, A., Choo, K.K., Aledhari, M. (2020). Decentralized authentication of distributed patients in hospital networks using blockchain. Other. 24 (8) 2146-2156. https://api.elsevier.com/content/abstract/scopus_id/85085736060
  • Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M. (2015). Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. Other. 17 (4) 2347-2376. https://api.elsevier.com/content/abstract/scopus_id/84941085241

    • Review, Journal

  • Aledhari, M., Razzak, R., Parizi, R.M., Saeed, F. (2020). Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Access. 8 140699-140725. https://api.elsevier.com/content/abstract/scopus_id/85089512304

Service

University Service

  • Committee Member, Faculty Search Committee. (2023 - Present).
  • Committee Member, Ph.D. in Data Science Program Committee. (2023 - Present).
  • Committee Member, Curriculum Committee. (September 2022 - Present).

Public Service

  • Grant Proposal Reviewer, External, NIH. (January 2023 - January 2025).
  • Grant Proposal Reviewer, External, NSF. (January 2023 - January 2025).