Imran Nawar
About me
I'm an AI and Computer Vision Researcher from Peshawar, Pakistan. I received my Bachelor's degree in Computer Science from Islamia College University, Peshawar. Currently, I am a Research Assistant at the Digital Image Processing Lab (DIP Lab) under the supervision of Dr. Muhammad Sajjad. My journey started with web development in college, and I have evolved into exploring cutting-edge topics in Artificial Intelligence, with a strong focus on Scene Understanding and Autonomous Navigation.
See moreExperience
Digital Image Processing Lab (DIP Lab)
July 2024 - Present
Research Assistant
Peshawar, Pakistan
- Major research topics: Autonomous Navigation, Object Detection, Image Segmentation.
- Conducting research for democratizing Autonomous Driving research.
- Teaching Assistant for courses:
- Data Visualization (DSC 635)
- Digital Image Processing (COMP416)
- Advanced Programming (COMP327)
Corvit Systems
Jan 2025 - Mar 2025, May 2025 - Present
Course Instructor
Islamabad, Pakistan
- Instructor for "Artificial Intelligence (Machine Learning & Deep Learning)" course in collaboration with the National Vocational & Technical Training Commission (NAVTTC) [Jan 2025 - Mar 2025]
- Teaching "HCCDA-AI: Huawei Cloud Certified Developer Associate - Artificial Intelligence" certification course on weekends [May 2025 - Present]
Digital Image Processing Lab (DIP Lab)
Nov 2023 - June 2024
Undergraduate Student Researcher
Peshawar, Pakistan
- Developed an autonomous navigation prototype for a BS thesis using affordable hardware like Jetson Nano.
- Designed and built an autonomous car from scratch:
- Integrated hardware components.
- Optimized pretrained deep learning models for object detection and road segmentation.
- Implemented a control module for obstacle avoidance with a monocular camera.
- Created an RFID-based door lock system using an Arduino microcontroller.
Projects
Check out some of my work here
Deep Learning Assisted Autonomous Navigation over Economical Hardware: Implemented a cost-effective autonomous driving system on NVIDIA Jetson Nano. Utilized SSD-MobileNet for object detection and FCN-ResNet34 for road segmentation.
Developed a model using the FER-2013 dataset to classify emotions. Achieved optimal performance with CLIP ViT-B/32, balancing accuracy and speed for real-time applications.
Developed a real-time fire detection system by fine-tuning YOLOv8n on a specialized dataset. Trained on a P100 GPU with 1004 training images, achieving optimal balance between speed and accuracy. Created a Python application for video inference to identify fires in real-time footage.
Created a Streamlit app for pneumonia detection using ResNet18 with 80% test accuracy. Deployed on Hugging Face Spaces for real-world accessibility.
Technologies
These are the technologies I've worked with
PYTHON
PYTORCH
OPENCV
C++
SCIKIT-LEARN
Git
Education
Bachelor of Science in Computer Science
Islamia College University, Peshawar (2020-24)
Intermediate in Computer Science (HSSC)
Islamia College, Peshawar (2018-20)
Check out some of my certificates
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Contact
My inbox is always open. Whether you have a question or just want to say hi, I will try my best to get back to you!