DR. SYED ATIF ALI SHAH
| PERSONAL INFORMATION | |||
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| aashah.h11@bahria.edu.pk | |||
| Phone. Ext. | Ext -3207 | ||
| Research Area | DEEP LEARNING, CNN, PROMPT ENGINEERING, GENERATIVE AI, QUANTUM AI AND THE APPLICATION OF AI TECHNOLOGIES IN EDUCATION AND CURRICULUM AUTOMATION | ||
| Number of Publications | 25 | ||
| QUALIFICATION | |||
| DEGREE | PASSING YEAR | MAJORS | UNIVERSITY |
| BSC | 2002 | COMPUTER SCIENCE | UNIVERSITY OF PESHAWAR, PAKISTAN |
| MSC COMPUTER SCIENCE | 2005 | COMPUTER SCIENCE | UNIVERSITY OF PESHAWAR, PAKISTAN |
| MS COMPUTER SCIENCE | 2016 | SOFTWARE ENGINEERING | VIRTUAL UNIVERSITY, PAKISTAN |
| MS ELECTRICAL ENGINEERING | 2020 | LOW-POWER VLSI DESIGN | ABASYN UNIVERSITY, PAKISTAN |
| PH.D. ICT | 2024 | AI, Deep learning, Quantum AI | AL-MADINAH INTERNATIONAL UNIVERSITY, MALAYSIA |
| TEACHING EXPERIENCE | |||
| DESIGNATION | FROM | TO | ORGANIZATION |
| LECTURER | 01-Feb-2005 | 01-Mar-2008 | ABASYN UNIVERSITY, PESHAWAR |
| ASSISTANT PROFESSOR | 01-Sep-2007 | 01-Feb-2010 | AFGHAN INSTITUTE OF LEARNING, PESHAWAR |
| LECTURER | 01-May-2010 | 01-Jun-2014 | BRAINS INSTITUTE, PESHAWAR |
| LECTURER (VISITING) | 01-Feb-2016 | 01-Jun-2016 | FEDERAL URDU UNIVERSITY OF ARTS, SCIENCE AND TECHNOLOGY, ISLAMABAD |
| ASSISTANT PROFESSOR | 01-Aug-2016 | 01-Jul-2021 | NORTHERN UNIVERSITY, NOWSHERA |
| LECTURER (VISITING) | 01-Sep-2021 | 01-Jan-2022 | NATIONAL UNIVERSITY OF SCIENCE AND TECHNOLOGY (NUST), ISLAMABAD |
| ASSISTANT PROFESSOR (HONORARY) | 01-Oct-2023 | 01-Oct-2024 | AL-MADINAH INTERNATIONAL UNIVERSITY, KUALA LUMPUR, MALAYSIA |
| LECTURER | 01-Feb-2022 | 01-Sep-2024 | AIR UNIVERSITY, E-9 (PAF COMPLEX), ISLAMABAD. |
| SENIOR ASSISTANT PROFESSOR | 01-Sep-2024 | Present | BAHRIA UNIVERSITY H-11 CAMPUS, ISLAMABAD |
Publications
Journals & Conferences
- An Enhanced Deep Neural Network for Predicting Workplace Absenteeism | Complexity
- A Novel Deep Convolutional Neural Network Model to Monitor People following Guidelines to Avoid COVID-19 | Journal of Sensors
- Optimal policy learning for COVID-19 prevention using reinforcement learning. | Journal of Information Science
- An improved chaotic image encryption algorithm using Hadoop-based MapReduce framework for massive remote sensed images in parallel IoT applications | Cluster Computing
- Prediction of Future Terrorist Activities Using Deep Neural Networks | Complexity
- Summarizing Online Movie Reviews: A Machine Learning Approach to Big Data Analytics | Scientific Programming
- Channel Contention-Based Routing Protocol for Wireless Ad Hoc Networks | Complexity
- Optimal Policy Learning for Disease Prevention Using Reinforcement Learning | Scientific Programming
- Energy Efficient Data Dissemination for Large-Scale Smart Farming Using Reinforcement Learning | Electronics MDPI
- Street-crimes Modelled Arms Recognition Technique Employing Deep Learning and Quantum Deep Learning (SMARTED) | Indonesian Journal of Electrical Engineering and Computer Science
- Visualizing Plant Disease Distribution and Evaluating Model Performance for Deep Learning Classification with YOLOv8 | Pathogens
- Upgraded Deadlock Averting Algorithms in Distributed Systems | International Journal of Computer
- Reengineering the Industrial CMMI | Journal of Advances in Computer Engineering and Technology
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