Prof. nabhan Yousef | internet of things| Excellence in Innovation

Prof.nabhan Yousef ,marwadi university,India

Prof. Nabhan Yousef is a distinguished faculty member at Marwadi University, India. He holds an esteemed position in the university’s academic community, contributing significantly to both teaching and research. Prof. Yousef’s academic journey and professional expertise are characterized by his dedication to advancing knowledge and fostering innovation.


Professional Profiles:


Education :

PhD in Electronics & Communication Technology,Marwadi University, Gujarat, India (07/2020 – 08/2024),Thesis: “Deep Learning Optimization Using U-Net architecture for brain tumor detection and segmentation from MRI images”,Attended conferences and workshops on recent advancements in AI,M.Tech in Telecommunication, Computer Networks, Image Processing, Computer Vision, and Machine Learning,Marwadi University, Gujarat, India (10/2018 – 07/2020),Bachelor in Mechatronics Engineering,Tishreen University, Latakia, Syria (09/2011 – 12/2017),Awarded best graduation project and a patent for the “Mini Factory” project in robotics


Research and Teaching Associate,Marwadi

University, Gujarat, India (07/2020 – 07/2024),Collaborated with senior researchers on coding assignments,Designed and developed AI models,Served as a reviewer for IEEE Access journal,Mentored 25 master’s and over 20 bachelor’s student projects in AI research,Published 15 research articles in Scopus and SCE journals,Contributed to curriculum review and enhancement,Lectured courses in AI, Databases, Cloud Computing, Robotics, Computer Vision, Machine Learning, and Time Series Data Analysis,Lecturer and Lab Assistant,Tishreen University, Latakia, Syria (10/2016 – 08/2018),Assisted in lesson preparation and curriculum development,Coordinated instructional efforts with classroom teachers,Developed assessments and updated curriculum for bachelor’s students

Research Focus:

  • AI and Machine Learning
  • Computer Vision
  • Data Analysis
  • Digital Marketing
  • Deep Learning Optimization
  • Brain Tumor Detection and Segmentation


  • Effective documentation and scientific writing
  • Proficient in methodology selection
  • Programming: Python
  • AI frameworks: TensorFlow, PyTorch, Flask, Django
  • Deploying machine learning models to the cloud
  • Instructional delivery and curriculum development


  • Best Graduation Project and a patent for the “Mini Factory” project in robotics from Tishreen University

Publications :

  • Nabhan Yousef, Chandrasinh Parmar, Dr. Amit Sata. Intelligent Inspection of Surface Defects in Metal Castings Using Machine Learning. International Journal of Materials Today: Proceedings, Volume 67(4), pp. 517-522, 2022.
  • Nabhan Yousef, Dr. Amit Sata. Innovative Inspection Device for Investment Casting Foundries. International Journal of Metal Casting, 2023.
  • Nabhan Yousef, Dr. Amit Sata. Intelligent Inspection for Evaluating Severity of Surface Defects in Investment Casting. International Journal of Advanced Manufacturing Systems, 2023.
  • Nabhan Yousef, Dr. Amit Sata. Intelligent Inspection Device for Investment Casting. Indian Foundry Journal, 2023.
  • Nabhan Yousef, Dr. Amit Sata. Implementing Deep Learning-Based Intelligent Inspection for Investment Castings. Arabian Journal for Science and Engineering, 2023.
  • Nabhan Yousef, Dr. Amit Sata. Parametric Study of Inspecting Surface Defects in Investment Casting. Jordan Journal of Mechanical and Industrial Engineering, 2023.
  • Yousef R, Gupta G, Vanipriya CH, Yousef N. A Comparative Study of Different Machine Learning Techniques for Brain Tumor Analysis. Materials Today: Proceedings, 2021.
  • Yousef, R., Gupta, G., Yousef, N. et al. A Holistic Overview of Deep Learning Approach in Medical Imaging. Multimedia Systems, 2022.
  • Yousef R, Khan S, Gupta G, Albahlal BM, Alajlan SA, Ali A. Bridged-U-Net-ASPP-EVO and Deep Learning Optimization for Brain Tumor Segmentation. Diagnostics (Basel), 2023.
  • Yousef R, Khan S, Gupta G, Siddiqui T, Albahlal BM, Alajlan SA, Haq MA. U-Net-Based Models Towards Optimal MR Brain Image Segmentation. Diagnostics, 2023.
  • Rammah Yousef, Pranaw Kumar, Nabhan Yousef. Enhanced Object Detection Using Generalized Hough Transform and RANSAC. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2019.
  • Rammah Yousef, Ayush Agarwal, Pranaw Kumar, Nabhan Yousef. Object Removal Using a New Exemplar-Based Image Inpainting Algorithm and Seam Carving. International Journal of Recent Technology and Engineering (IJRTE), 2019.
nabhan Yousef | internet of things| Excellence in Innovation

You May Also Like