Introduction
With over 16 years of experience teaching computer science at the undergraduate and graduate levels, I am committed to creating an environment that empowers students and fosters their curiosity. My work focuses on advancing computational intelligence, machine learning, and AI solutions for industry challenges, while applying strong analytical and management skills to drive innovation and transformation.
Experience
- Lecturer, Department of Computer Science, NUTECH University (2022–Present)
- Teach undergraduate students in CS department
- Guide graduate students on research projects focused on deep learning, computer vision, and application development.
- Assistant Professor, Department of Computer Science, IQRA University Islamabad Campus (2015–2022)
- Taught undergraduate and graduate students in CS department.
- Supervised graduate students' thesis projects.
- Mentored over thirty undergraduate students on their final year projects.
- Lecturer, Department of Computer Science, IQRA University Islamabad Campus (2010–2015)
- Taught undergraduate and graduate students in CS department.
- Supervised undergraduate students on their final year projects.
Qualification
- Academia:
- MSc. in Distributed Systems and Networks, University of Hertfordshire, London UK (2006)
- M.Sc. in Computer Science, University of Peshawar, Pakistan (2003)
- BSc (Computer Science, Double Math), University of Peshawar, Pakistan (1999)
I have published papers in different journals and conference
Taught Courses
I have taught a diverse range of undergraduate and graduate-level courses in the Computer Science Department. Below is a list of some courses I have taught:
- Introduction to Computer Science and Programming
- Programming Fundamentals
- Object Oriented Programming.
- Compiler Construction
- Digital Logic Design
- Artificial Intelligence.
- Theory of Automata
- Computer Architecture
- Research Methods
- Artificial Neural Networks
- Intro to DBMS
- Operating system
- Discrete systems
- Design and analysis of algorithms
- Modeling and simulation
- And many others.
Research
My research primarily explores the intersection of machine learning, deep learning, and computer vision. Currently, I am working on a project that applies AI techniques to road monitoring. I have secured research funding from the Frontier Works Organization (FWO).
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- Ongoing Research Projects:
- Aerial Monitoring of Road Damages and Erosion Issues in Service Corridors Using AI
- Publications:
- An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications. By F. Sajjad, M. Rashid, A. Zafar, K.Zafar, B. Fida, A. Arshad, S. Riaz,A. K. Dutta & Joel J. P. C. Rodrigues Journal: Discover Internet things Volume 3, article number 7, (2023).
- An Optimized Handover Management System In 3G/4G-WLAN Using Genetic Algorithm By Qamar, Ejaz; Sajjad, Faria; Kouser, Saeeda; Ahmed, Saeed International Journal on IT & Security, 2017, Vol. 9 Issue 3, pp. 19-30.
- Diagnosis of Vertebral Column Disorders Using Machine Learning Classifiers
- By Sana Ansari, Faria Sajjad, Nawazish Naveed, Zia-ul-Qayyum, Imran Shafi & Jamil Ahmad Published in International Conference on Information Science and Applications, 2013, Suwon South Korea. Date of Conference: 24-26 June 2013, pp. 1-6.
Projects
Aerial Monitoring of Road Damages and Erosion Issues in Service Corridors Using AI (Ongoing):
Aerial monitoring of road damages using unmanned aerial vehicles (UAVs) equipped with high-resolution cameras offers an efficient way to assess road infrastructure and prioritize maintenance. AI algorithms are used to analyze and classify road defects such as cracks, potholes, and pavement deterioration, enabling informed decision-making for maintenance and resource allocation. This proactive approach enhances safety, reduces accidents, and allows for regular inspections, while also addressing challenges related to scalability, data integration, and regulatory issues.
