Mr. Adil Khan
| Personal Information | ||
| Name | Adil Khan | |
| Phone | 9260002 ext 1341 | |
| Research Area | Artificial Intelligence | |
| Number of Publications | Conferences = 9,
Journals = 20 |
|
| Affiliation | ||
| Designation | Senior Lecturer | |
| Department | Computer Science | |
| University | Bahria University Islamabad Campus | |
| Qualification | |||
| Degree | Passing Year | Majors | University |
| MS (CS) | 2014 | Computer Science | City University, Peshawar |
| BS (CS) | 2008 | Computer Science | Edwards College Peshawar |
| Teaching Experience | |||
| Designation | From | To | Organization |
| Senior Lecturer | Feb 2023 | Date | Bahria University, Islamabad |
| Lecturer | Sep 2022 | Feb 2023 | University of Lahore, Pakistan |
| Lecturer | Sep 2019 | Sep 2022 | University of Peshawar, Pakistan |
| Research Scholar | Sep 2016 | Sep 2019 | HIT, PR of China |
| Lecturer | Nov 2014 | Aug 2016 | Higher Education Archives & Libraries Department Government of KP, Pakistan |
| Lecturer | March 2013 | Nov 2014 | Capital Post Graduate College, Peshawar, Pakistan |
| Lecturer | Nov 2011 | Feb 2023 | PakTurk I. C. E. F |
| Industrial Experience | |||
| Designation | From | To | Organization |
| Programmer/Developer | 02-10-2009 | Nov 2011 | Digital Paradise |
| Publications |
Journals:
| Sr. # | |
| 1 | Adil Khan, Jiang Feng, Shaohui Liu, and Muhammad Zubair Asghar, “Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning,” Journal of Robotics, vol. 2019, Article ID 2970408, 10 pages, 2019. https://doi.org/10.1155/2019/2970408. |
| 2 | Shamshirband, Shahab, Muhammad Zubair Asghar, Muhammad Imran, Fazal Masud Kundi, Adil Khan, and Amir Mosavi. “Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content.” Computers, Materials & Continua 63, no. 3 (2020): 1093-1118. |
| 3 | Adil Khan, Jiang Feng, Shaohui Liu, Ibrahim Omara: Playing an FPS Doom Video Game with Deep Visual Reinforcement Learning. Automatic Control and Computer Sciences 07/2019; 53(3), pp 214–222, https://doi.org/10.3103/S0146411619030052. |
| 4 | Khan Adil, Feng Jiang, Shaohui Liu, Worku Jifara, Zhihong Tian, Yunsheng Fu: State-of-the- Art and Open Challenges in RTS Game-AI and Starcraft. International Journal of Advanced Computer Science and Applications 12/2017; 8(12):16-24., DOI:10.14569/IJACSA.2017.081203 |
| 5 | Younis Umair, Muhammad Zubair Asghar, Adil Khan, Alamsher Khan, Javed Iqbal, and Nosheen Jillani. “Applying Machine Learning Techniques for Performing Comparative Opinion Mining.” Open Computer Science 10, no. 1 (2020): 461-477 |
| 6 | Adil Khan, Muhammad Naeem, Muhammad Zubair Asghar, Aziz Ud Din, and Atif Khan. “Playing first-person shooter games with machine learning techniques and methods using the VizDoom Game-AI research platform.” Entertainment Computing 34 (2020): 100357. |
| 7 | Adil Khan, Feng Jiang, Shaohui Liu, A. Grigoriev, B. B. Gupta, and Seungmin Rho. “Training an agent for fps doom game using visual reinforcement learning and vizdoom.” International Journal of Advanced Computer Science and Applications 8, no. 12 (2017). |
| 8 | Hussain Shah, Aziz ud Din, Abizar, Adil Khan and Shams ud Din, “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), 11(3), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110351 |
| 9 | Habib, Ammara, Muhammad Zubair Asghar, Adil Khan, Anam Habib, and Aurangzeb Khan. “False information detection in online content and its role in decision making: a systematic literature review.” Social Network Analysis and Mining 9, no. 1 (2019): 50. |
| 10 | Muhammad Zubair Asghar, Ammara Habib, Anam Habib, Adil Khan, Rehman Ali, and Asad Khattak. “Exploring deep neural networks for rumor detection.” Journal of Ambient Intelligence and Humanized Computing (2019): 1-19. |
| 11 | Feng Jiang, Aleksei Grigoriev, Seungmin Rho, Zhihong Tian, YunSheng Fu, Worku Jifara, Khan Adil, Shaohui Liu: Medical image semantic segmentation based on deep learning. Neural Computing and Applications 07/2017; DOI:10.1007/s00521-017-3158-6 |
| 12 | Adil Khan, Jiang Feng, “Mobile Sink Random Mobility Model Impact in Wireless Sensor Nodes Energy Consumption Efficiency”. International Review of Basic and Applied Sciences, 2016. 4(12): p. 317-325 (9). |
| 13 | Tufail, Ahsan Bin, Yong-Kui Ma, Qiu-Na Zhang, Adil Khan, Lei Zhao, Qiang Yang, Muhammad Adeel, Rahim Khan, and Inam Ullah. “3D convolutional neural networks-based multiclass classification of Alzheimer’s and Parkinson’s diseases using PET and SPECT neuroimaging modalities.” Brain Informatics 8, no. 1 (2021): 1-9. |
| 14 | Adil Khan, AR JUNEJO, A., Naeem, M. et al. Inter-Organizational Cloud Computing and Robust Scalability in Current Scenario and Beyond. Aut. Control Comp. Sci. 56, 26–37 (2022). https://doi.org/10.3103/S0146411622010060 |
| 15 | Adil Khan, Approaches to the detection of Ransomware Attacks: Evolution, Challenges and Defense Solutions. |
| 16 | Adil Khan, Ensuring Quality of Service (QoS) in Service-Oriented Systems and Models. |
| 17 | Adil Khan, Optimizing Non-Player Characters Behaviour In Games Using Deep Reinforcement Learning |
| 18 | Adil Khan, ViZDoom: Training Game Agents with Fine Control And Balance Using Deep Reinforcement Learning |
| 19 | Adil Khan, Agents’ optimal performances in First-Person Shooter Games Using Artificial Intelligence |
| 20 | Adil Khan, The Comprehensive Exertion in First-Person Shooter Games Using Artificial Intelligence |
Conferences:
| Sr. # | |
| 1 | Khan Adil, Kai Yang, Yunsheng Fu, Fang Lou, Worku Jifara, Feng Jiang, Liu Shaohui: A Competitive Combat Strategy and Tactics in RTS Games AI and StarCraft. PCM 2017: Advances in Multimedia Information Processing – PCM 2017, Harbin, China; 09/2017, DOI:10.1007/978-3-319-77383-4_1 |
| 2 | “Yibo Sun, Adil Khan, Kai Yang, Jiang Feng, Shaohui Liu, “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, July 26-28, 2019, LNCS 11635, Proceedings Part IV, ISBN13 9783030242671 |
| 3 | Ibrahim Omara, Xiaoming Li, Gang Xiao, Khan Adil, Wangmeng Zuo: Discriminative Local Feature Fusion for Ear Recognition Problem. the 2018 8th International Conference; 01/2018, DOI:10.1145/3180382.3180409 |
| 4 | Maowei Cheng, Worku J. Sori, Feng Jiang, Adil Khan, Shaohui Liu: 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 |
| 5 | Worku J. Sori, Zhao Dongyang, Lou Fang, Fu Yunsheng, Liu Shaohui, Feng Jiang, Khan Adil, “Entropy-Based Subband Deletion for Multispectral Image Compression”. Advances in Multimedia Information Processing – PCM 2017, 05/2018: pages 787-797; ISBN: 978-3-319- 77382-7, DOI:10.1007/978-3-319-77383-4_77 |
| 6 | Hammad, Mohamed, Asmaa Maher, Adil Khan, Feng Jiang, and Kuanquan Wang. “Detection of Abnormal Heart Conditions from the Analysis of ECG Signals.” In BIOSIGNALS, pp. 240-247. 2018. |
Book Chapters:
| Sr. # | |
| 1. | Adil Khan, Asad Masood Khattak, Muhammad Zubair Asghar, Muhammad Naeem, and Aziz Ud Din. “Playing First-Person Perspective Games with Deep Reinforcement Learning Using the State-of-the-Art Game-AI Research Platforms.” In Deep Learning for Unmanned Systems, pp. 635-667. Springer, Cham, 2021. |
| 2. | Adil Khan, Muhammad Naeem, Asad Masood Khattak, Muhammad Zubair Asghar, and Abdul Haseeb Malik. “Playing Doom with Anticipator-A3C Based Agents Using Deep Reinforcement Learning and the ViZDoom Game-AI Research Platform.” In Deep Learning for Unmanned Systems, pp. 503-562. Springer, Cham, 2021. |
| 3. | Khattak, Asad, Adil Khan, Habib Ullah, Muhammad Usama Asghar, Areeba Arif, Fazal Masud Kundi, and Muhammad Zubair Asghar. “An Efficient Supervised Machine Learning Technique for Forecasting Stock Market Trends.” In Information and Knowledge in the Internet of Things, pp. 143-162. Springer, Cham, 2022. |