Muhammad Haroon Asad

Seeking an entry-level position to begin my career in a high level professional environment. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level position. Ready to help team achieve company goals. Detail-oriented Research Assistant with hands-on experience performing clerical and laboratory work to advance research goals. Drives team success with expertise in data review, reporting and specimen handling. Specializes in Computer Vision and Deep Learning.

• C++
• Arduino
• MATLAB
• HTML
• C
• Python
• Assembly

• MySQL
• Pspice
• Ms Excel
• Ms Word
• Ms Access
• Latex
• Proteus
• Ms Visio
• JabRef
• Lyx

• Raspberry Pi
• Ardunio
• ArduPilot
• NVIDIA Jetson Nano
• Jetson AGX Xavier

• 2021 NVIDIA Deep Learning Institute Certificate Of Competency UET, Peshawar
• Fundamentals of Deep Learning by Will Ramey

• Student Support Center, COMSATS University Islamabad, Attock, 2019-10-01, 2019-12-31
• IELTS and Benefits Of Studying Abroad, COMSATS University Islamabad, Attock, 2019-11-01, 2019-11-01
• UAV, ITS FUTURE AND APPLIED TECHNOLOGIES, COMSATS University Islamabad, Attock, 2019-11-01, 2019-11-01

• Natural Disaster Damage Assessment using Semantic Segmentation, Final MS thesis relating Vision Trasformers, Deep Learning, Semantic Segmentation Assessment of post-disaster damage caused by natural disasters e.g Earthquakes, Floods using Semantic segmetion, 2022-01-01, 2023-01-01
• Potholes Detection: Real-time AI-on-the-Edge Perspective, Computer Vision, Deep Learning Real-Time Detection of pothole using OAK-D and Raspberry-Pi, 2022-01-01, 2022-12-31
• Formation Control and sub-swarm generation of Multirotor UAVs, Swarm Robotics Subswarm generation and ring formation around anomaly, 2022-01-01, 2022-12-31
• Pavement Crack Detection and Classification, Real-Time Detection using Raspberry-Pi and Pi Camera Computer Vision, Deep Learning, 2021-01-01, 2021-12-31
• Obstacle Detection & Avoidance For Efficient UAV Path Planning, Final Year Project Relating Image Processing and Deep Learning, Approved for Funding By NGIRI, Journal Paper submitted Raspberry-Pi Based Multi-rotor Quadcopter Platform Performing YOLO Based RealTime Detection of Objects. Avoidance Algorithm Was Proposed Based On Efficient Energy Consumption, 2019-01-01, 2020-01-01
• WiFi Based Smart Home Automated System, Semester Project Real Time Embedded Systems, 2018-01-01, 2018-12-31
• Simple Intercom, Semester Project Electronics II, 2018-01-01, 2018-12-31
• Bi-Directional Person counter Using 8051 Microcontroller, Semester Project Microprocessor and Interfacing, 2018-01-01, 2018-12-31
• RFID based Door lock system, Semester Project Microprocessor and Interfacing, 2017-01-01, 2017-12-31
• 12v DC power supply, Semester Project Electronics I, 2017-01-01, 2017-12-31

• Asad, M. H., Asim, M. M., Awan, M. N. M., & Yousaf, M. H. (2023). Natural disaster damage assessment using semantic segmentation of uav imagery. In 2023 international conference on robotics and automation in industry (icrai) (pp. 1-7).
• Shahzad, M. M., Asad, M. H., Haris, M., Munawar, H., & Yousaf, M. H. (2023). Formation control and sub-swarm generation of multirotor uavs. In 2023 international conference on robotics and automation in industry (icrai) (pp. 1-7).
• Asad, M. H., Khaliq, S., Yousaf, M. H., Ullah, M. O., Ahmad, A., et al. (2022). Pothole detection using deep learning: A real-time and ai-on-the-edge perspective. Advances in Civil Engineering, Hindawi, 2022.

• Computer Vision
• Artificial Intelligence
• Embedded System
• Machine Learning