DR. ADIL KHAN
| PERSONAL INFORMATION | |||
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| adilkhan.buic@bahria.edu.pk | |||
| Phone Ext. | Ext. 1445 | ||
| Research Areas / Expertise | Applied Artificial Intelligence in Games, Robotics, and Intelligent Systems | ||
| QUALIFICATION | |||
| Degree | Passing Year | Majors | University |
| PhD (CS) | 2025 | Artificial Intelligence | University of Peshawar, Peshawar, Pakistan |
| Master's (MS-CS), 18 Years of Education | 2015 | Wireless Sensor Networks | City University of Science and Information Technology, Peshawar, Pakistan. |
| BS (CS), 16 Years of Education | 2009 | Artificial Intelligence | Edwardes College, Peshawar, Pakistan. |
| B.Ed | 2016 | Computer Education | University of Peshawar, Peshawar, Pakistan |
| TEACHING EXPERIENCE | |||
| Designation | From | To | Organization |
| Assistant Professor (Artificial Intelligence) | 27-Feb-2025 | Present | Bahria University, Islamabad, E-8 Campus. |
| Senior Lecturer | 13-Feb-2023 | 26-Feb-2025 | Bahria University, Islamabad, E-8 Campus. |
| Lecturer | 13-Sep-2022 | 12-Feb-2023 | University of Lahore, Islamabad |
| Lecturer | 19-Sep-2019 | 12-Sep-2022 | University of Peshawar |
Publications
Journals & Conferences
- Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content | Computers, Materials & Continua
- Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning | Journal of Robotics
- Playing an FPS Doom Video Game with Deep Visual Reinforcement Learning | Automatic Control and Computer Sciences
- State-of-the-Art and Open Challenges in RTS Game-AI and Starcraft | International Journal of Advanced Computer Science and Applications(IJACSA)
- Applying Machine Learning Techniques for Performing Comparative Opinion Mining | Open Computer Science
- Playing first-person shooter games with machine learning techniques and methods using the VizDoom Game-AI research platform | Entertainment Computing
- Training an Agent for FPS Doom Game using Visual Reinforcement Learning and VizDoom | International Journal of Advanced Computer Science and Applications(IJACSA)
- Enhancing the Quality of Service of Cloud Computing in Big Data using Virtual Private Network and Firewall in Dense Mode | International Journal of Advanced Computer Science and Applications(IJACSA)
- False information detection in online content and its role in decision making: a systematic literature review | Social Network Analysis and Mining
- Exploring deep neural networks for rumor detection | Journal of Ambient Intelligence and Humanized Computing
- Medical image semantic segmentation based on deep learning | Neural Computing and Applications
- Mobile Sink Random Mobility Model Impact in Wireless Sensor Nodes Energy Consumption Efficiency | International Review of Basic and Applied Sciences
- 3D convolutional neural networks-based multiclass classification of Alzheimers and Parkinsons diseases using PET and SPECT neuroimaging modalities | Brain Informatics
- Inter-Organizational Cloud Computing and Robust Scalability in Current Scenario and Beyond | Automatic Control and Computer Sciences
- Evaluating reinforcement learning algorithms in first-person shooter games using VizDoom | Multimedia Tools and Applications
- Using VizDoom Research Platform Scenarios for Benchmarking Reinforcement Learning Algorithms in First-Person Shooter Games | IEEE ACCESS
- Optimizing Reinforcement Learning Agents in Games Using Curriculum Learning and Reward Shaping | Computer Animation & Virtual Worlds
- Benchmarking reinforcement learning algorithms in first-person shooter games using VizDoom | Entertainment Computing
