I am Shafaq Rasheed, currently serving as a Senior Lab Engineer in the Department of Computer Engineering at NUTECH University, Islamabad. With a Master's in Computer Engineering and extensive hands-on experience across academia and the tech industry, my expertise lies in computer vision, deep learning, and real-time AI deployment on edge devices. I have contributed to various high-impact projects in object detection, semantic segmentation, and human pose estimation. My passion lies in integrating advanced AI techniques with practical engineering applications, and I am deeply committed to student mentoring and fostering innovation through teaching and research.
Senior Lab Engineer, Department of Computer Engineering, NUTECH University (April 2025 – Present)
- Supervising labs in Digital Image Processing and ICT.
- Assisting in Operating Systems and Computer Organization & Architecture courses.
- Managing final year project (FYP) assessments, Open House, and Job Fair as FYDP Coordinator.
Visiting Faculty, SZABIST University, Islamabad (Feb 2025 – May 2025)
- Taught Computer Networks & Data Communication Lab.
- Delivered practical sessions using Wireshark and Cisco Packet Tracer.
Radio Access Network Engineer, Huawei Technologies (Oct 2023 – Dec 2024)
- Script preparation and integration for 2G–5G networks.
- Excel-based data processing, dashboards, and automation tasks.
Research Scholar (Computer Vision), SWARM Robotics Lab, NCRA-UET Taxila (Aug 2021 – Aug 2023)
- Worked on underwater trash detection, crack detection, and explainable AI.
- Developed chatbots using LLMs and computer vision models for edge devices.
Academia
- MS in Computer Engineering, UET Taxila (2020–2024)
CGPA: 3.71/4.00
Thesis: Trash Detection in Water Bodies Using YOLO with Explainable AI Insight
- BS in Telecommunication Engineering, UET Taxila (2016–2020)
CGPA: 3.31/4.00
Thesis: Localization of Coral Reefs at the Great Barrier Reef Using Feature Extraction and ML.
Certifications
Machine Learning Training (PSEB IT Professionals Certification Program)
- Trainings
- Deep Learning on Edge Devices (OAK-D camera-based real-time object detection – internal project)
- Advanced Excel and Tool Automation (During tenure at Huawei Technologies)
I have been actively involved in teaching undergraduate-level courses and labs in Computer Engineering. Notable teaching engagements include:
- Computer Networks and Data Communication Lab
Practical training using Wireshark and Cisco Packet Tracer covering TCP/IP, ICMP, NAT, DHCP, DNS, SSH, and more.
- Digital Image Processing Lab
Implementation of thresholding, filtering (median, mean, box), morphological operations (erosion, dilation), and basic machine learning models like KNN.
- Operating Systems Lab (Assistance)
Focused on Linux commands, gedit, vi editor, process scheduling, and threading.
My research interests revolve around computer vision, deep learning, and their applications in real-time systems and environmental monitoring. I aim to develop intelligent systems that contribute to sustainability, automation, and healthcare.
Research Projects
- Real-time Trash Detection in Water Bodies using YOLO and Explainable AI.
- Crack Detection and Monitoring for Infrastructure Safety
- Computer Vision on Edge Devices (OAK-D Camera Deployment)
Publications
- Rasheed, S., & Saeed, S., & Yousaf, H. (2024). “Trash Detection in Water Bodies Using YOLO with Explainable AI Insight,” ICRAI 2024.
- Rasheed, S., & Fawad, F., & Asghar, A. (2020). “High-Resolution Remote Sensing Image Classification through Deep Neural Network.”
- Asghar, A., & Rasheed, S., & Razzaq, S. (2020). “A Robust Technique for Detecting SARS-CoV-2 from X-Ray Images using CNN and PSO,” 14th International Conference on Open-Source Systems and Technology.
