Bahria University

DR. ADIL KHAN

PERSONAL INFORMATION
Email	adilkhan.buic@bahria.edu.pk
Phone Ext.	Ext. 1445
Research Areas / Expertise	Applied Artificial Intelligence in Games, Robotics, and Intelligent Systems

Publications

Journals

• 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 Alzheimer’s and Parkinson’s 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

Conferences

• A Competitive Combat Strategy and Tactics in RTS Games AI and StarCraft | PCM 2017: Advances in Multimedia Information Processing – PCM 2017, Harbin, People Republic of China;
• Playing First-Person-Shooter Games with A3C-Anticipator Network-Based Agents using Reinforcement Learning | Artificial Intelligence and Security: 5th International Conference, ICAIS 2019, New York, NY, USA
• Discriminative Local Feature Fusion for Ear Recognition Problem | ICBBB 2018: Proceedings of the 2018 8th International Conference on Bioscience, Biochemistry and Bioinformatics, Tokyo Japan
• Recurrent Neural Network Based Classification of ECG Signal Features for Obstruction of Sleep Apnea Detection | 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), Guangzhou, People Republic of China.
• Entropy Based Sub-band Deletion for Multispectral Image Compression | Pacific Rim Conference on Multimedia-PCM 2017: Advances in Multimedia Information Processing, Harbin, People Republic of China
• Playing First-Person Perspective Games with Deep Reinforcement Learning Using the State-of-the-Art Game-AI Research Platforms | Deep Learning for Unmanned Systems: Studies in Computational Intelligence, Dubai, United Arab Emirates
• Playing Doom with Anticipator-A3C Based Agents Using Deep Reinforcement Learning and the ViZDoom Game-AI Research Platform | Deep Learning for Unmanned Systems: Studies in Computational Intelligence, Dubai, United Arab Emirates
• An Efficient Supervised Machine Learning Technique for Forecasting Stock Market Trends | Information and Knowledge in Internet of Things-EAI/Springer Innovations in Communication and Computing (2021), Dubai, United Arab Emirates