babar shah
Zayed University, Gyeongsang National University
Research areas: Computer Science · Computer Networks and Communications · Energy Efficient Wireless Sensor Networks · Advanced Neural Network Applications · Mobile Ad Hoc Networks
0000-0002-5090-4695
About
Babar Shah is a networking professional who took professional trainings and certifications from Gyeongsang National University, South Korea, Zayed University, UAE and Derby University, UK. He received his MS in Computer Networks (2007) from Derby University, UK and PhD in Wireless and Mobile Communication (2014) from Gyeongsang National University, South Korea. Dr. Babar Shah has received several research grants for ICT related projects from various research funding authorities and working on scientific projects in UAE and South Korea. His professional services include - but are not limited to - Guest Editorships, University Services, Workshops Chair, Technical Program Committee Member, Invited/Keynote Speaker and reviewer for several international journals and conferences. He has authored over 30 scientific research articles in prestigious international journals and conferences. Presently he is working as an Assistant Professor at College of Technological Innovation, Zayed University, Abu Dhabi, UAE. He is also associated with Gyeongsang National University, South Korea, Chungnam National University, South Korea and IMSciences, Pakistan as a Scientific Researcher.
Employment
- 2014 - Present
Education
-
Gyeongsang National University PhD in Engineering2011 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (128)
- A novel driver emotion recognition system based on deep ensemble classification (Jun, 10.1007/s40747-023-01100-9, 2023) Save
- A novel driver emotion recognition system based on deep ensemble classification (vol 9, pg , 6927, 2023) Save
- Accelerated Particle Swarm Optimization Algorithm for Efficient Cluster Head Selection in WSN Save
- An expert system-based restoration method for energy services Save
- Blood cell image segmentation and classification: a systematic review Save
- Discovering the Correlation Between Phishing Susceptibility Causing Data Biases and Big Five Personality Traits Using C-GAN Save
- Improving paraphrase generation using supervised neural-based statistical machine translation framework (July, 10.1007/s00521-023-08830-4, 2023) Save
- Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation Save
- Knowledge Graph-Based Convolutional Network Coupled With Sentiment Analysis Towards Enhanced Drug Recommendation Save
- 3D indoor modeling and game theory based navigation for pre and post COVID-19 situation Save
- A Survey of EEG and Machine Learning-Based Methods for Neural Rehabilitation Save
- A deep learning based dual encoder-decoder framework for anatomical structure segmentation in chest X-ray images Save
- A deep learning based dual encoder-decoder framework for anatomical structure segmentation in chest X-ray images (vol 13, 791, 2023) Save
- A deep learning-assisted visual attention mechanism for anomaly detection in videos Save
- A deep transfer learning approach for COVID-19 detection and exploring a sense of belonging with Diabetes Save
- A novel driver emotion recognition system based on deep ensemble classification Save
- Adaptive Scheduling and Power Control for Multi-Objective Optimization in IEEE 802.15.6 Based Personalized Wireless Body Area Networks Save
- An advanced deep learning models-based plant disease detection: A review of recent research Save
- An advanced deep learning models-based plant disease detection: a review of recent research (vol 14, 1158933, 2023) Save
- Cyber security and beyond: Detecting malware and concept drift in AI-based sensor data streams using statistical techniques Save