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  • Name
    Muhammad Arsalan

  • Personal

    Email: masb4303@gmail.com

    Pec registration No: MECH/34539

    Contact details: Department of Mechanical Engineering, UET Mardan.


  • Experience

    Sep 2021 ~April 2026 Graduate Assistant, GIK Institute Topi.

    Mar 2019~ Jun 2021 Research Assistant, National Center of robotics and automation (NCRA), UET Peshawar.

    Oct 2016 ~ Feb 2019 Lecturer in Preston University Kohat.


  • Qualification

    Ph.D Mechanical Engineering (Robotics and Automation) Sept 2021~ Present, Ghulam Ishaq Khan Institute of engineering sciences and technology, Topi. Pakistan

    M.Sc Mechatronics Engineering (Automation and Control) Sept 2019~ August 2021, University of Engineering and technology (UET), Peshawar, Pakistan.

    B.Sc Mechanical Engineering Sept 2012~ Sept 2016, University of Engineering and technology (UET), Peshawar, Pakistan.


  • Honor and Awards

    1.         Appreciation shield and certificate form Ghulam Ishaq khan institute of engineering sciences and technology (GIKI) for Conducting one day hands-on-workshop on “Robot Control with ROS2: AI driven grasping and vision integration”.

    2.         Appreciation shield and certificate form Ghulam Ishaq khan institute of engineering sciences and technology (GIKI) for Conducting one day hands-on-workshop on “Next-Gen Robotics (ROS2): AI-Driven 3D Grasping and SLAM based autonomous navigation”.

    3.         Certificate of competency NVIDIA “Fundamentals of deep learning for computer vision”

    5.         Appreciation letter from the Pro-Vice-Chancellor of Preston university Kohat for maintaining mechanical laboratory. 

    6.         Appreciation letter from the MEDEngg 3D printing company.


  • Publications

    Journals

    1. M Arsalan, A Rashid, K Khan, A Imran, F Khan, MA Akbar, HM Cheema

    “Real-time precision spraying application for tobacco plants”, Smart Agricultural Technology (IF=6.3)

    1. M Aqib, A Imran, K Khan, M Arsalan, S Manzoor, K Long, BJ Yi,

    “Design and implementation of shape‐adaptive and multifunctional robotic gripper”, Journal of Field Robotics (IF=6.0)

    1. M Arsalan, Abid Imran, Arsalan Arif, and Khurram Khan,

    “Deep learning-based Voice enabled Assistive grasping using a robotic arm for visually impaired individuals”, IEEE Access.

    1. S S Shah, A Imran, SU Rehman, A Arif, K Khan, M Arsalan, S Manzoor, and G J Sirewal,

    “Vision Based Smart Wearable Assistive Navigation System Using Deep Learning for Visually Impaired People” MDPI Automation.

    1. M Arsalan, Abid Imran, Sungon Lee, and Byung-Ju Yi

    “Multimodal Approach for Efficient Target Object Robotic Grasping in 3D Cluttered environments”, Journal of Field Robotics (under review).

    CONFERENCES

    1.         S S Shah, M Akif, M Arsalan, S A  Khan, A Imran, “Nanoindentation and Simulation Analysis of Deformation Behavior in Bulk Metallic Glass Alloy”, https://doi.org/10.4028/v-2cwNVX, Material Science forum Vol 1164.

    2.         S A  Khan, M Arsalan,  S S Shah, A Imran, “Iterative Learning Control for Lower Limb Exoskeleton Robot for Rehabilitation” ”, https://doi.org/10.4028/v-2cwNVX, Material Science forum Vol 1164.

    3.         M Arsalan, Abid Imran, S Salman Shah, S Malaika, and Z Afshan

    “Deep Learning Based Autonomous Robotic Grasping and Sorting System for Industry 4.0”, IEEE conference at ICRAI 2024.

    4.         A Hasan Radhi, H Abdulla, A M Alkhazzaz, M Arsalan, S G Khan

    “Design and Manufacturing of a Walk Assist Device”, IEEE Conference at ICET 2024.

    5.         SS Shah, M Akif, M Arsalan, SH Shah, T Hassan, A Imran

    “Modeling and Control of Two Degree of Freedom Bionic Foot”, MATEC web of conferences, 2024.

    6.         S Masroor, M Arsalan, SG Khan, SH Shah, MS Alam, A Imran

    “Design and Control of a Bionic Leg”, IEEE conference at IMDCER 2023.

    7.         M Arsalan, S ur Rehaman, M Umair, A Imran, G Iqbal

    “Feedback Linearization Control of Lower Limb Exoskeleton Robot for Rehabilitation, MATEC web of conference, 2023

    8.         Muhammad Arsalan, SG Khan, Muhammad Tufail khan, Syed Humayoon shah, “Development of an adaptive-learning control algorithm for active compliance control of robotic assistive devices”, IEEE conference at ICRAI 2021.

    9.         M Arsalan, M Tufail, SG Khan, SH Shah,

    “Adaptive Learning Inertia Control of Lower Limb Exoskeleton Robot” IEEE conference at ICRAI 2021

    10.       SH shah, M Arsalan, SG Khan, M Tufail khan, M Shahab Alam,

    “Design and compliance control of a robotic gripper for orange harvesting”, IEEE conference at INMIC 2019.