Syed Salman Shah

Mr. Syed Salman Shah

Lecturer

Qualifications: Masters in Mechanical Engineering, GIK Institute, Swabi, Pakistan. (2025),

Research Interests:  Artificial Intelligence, Machine Learning, Deep Learning, Robotics, Computer Vision. 

salman.shah@giki.edu.pk
+92-938-281026 (Ext. 2322)

 

 

EDUCATION

2023 – 2025

Masters Mechanical Engineering

Ghulam Ishaq Khan Institute of Engineering Sciences & Technology 

Topi, Pakistan.

Thesis Title: Vision-Based Wearable Interactive and Assistive Navigation System for Visually Impaired Individuals in Indoor and Outdoor Environments

 

2019 – 2023

B.Sc. Mechanical Engineering 

University of Engineering & Technology,
(UET) Peshawar, Pakistan.

 

 

 WORK EXPERIENCE

July 2025 – Present

Lecturer

GIK Institute of Engineering Sciences and Technology, Topi, KPK. 
   

 

HONORS & AWARDS 

          July 2019     Topped swat board in pre-engineering category
          Jun 2019     Gold Medalist in F.Sc

 

SCHOLARSHIPS

 

         2023-2025      GIKI Merit Scholarship

 

PUBLICATIONS

INTERNATIONAL JOURNAL PUBLICATIONS

 

  1. Syed Salman Shah, Saad-Ur Rahman, Abid Imran, Khurram Jadoon, Arsalan Arif, M Arsalan, Byung-Ju Yi, “Vision-Based Smart Wearable Assistive Navigation System Using Deep-Learning for Visually Impaired People” Technology and Disability, Sage Journal (submitted)

 

 

CONFERENCE PRESENTATIONS

INTERNATIONAL CONFERENCES

 

  1. Syed Salman Shah, Muhammad Akif, Muhammad Arsalan, Saud Ahmed Khan, Abid Imran, “Nanoindentation and Simulation Analysis of Deformation Behavior in Bulk Metallic Glass Alloy”, IMEC Conference at NED 2025.
  2. Saud Ahmed Khan, Muhammad Arsalan, Syed Salman Shah, Abid Imran, “Iterative Learning Control for Lower Limb Exoskeleton Robot for Rehabilitation”, IMEC Conference at NED 2025.
  3. M Fazail Bangash, Arsalan Arif, Syed Salman Shah, M Arsalan, Faisal Khan, “Few-Shot Learning for Thermal Image-Based Fault Detection in Induction Motors”, MTMT Conference at GIKI 2025.
  4. Syed Salman Shah, M Akif, M Arsalan, Syed Humayoon Shah, Taimoor Hassan, Abid Imran, “Modeling and Control of Two Degree of Freedom Bionic Foot”, MTME Conferences at GIKI, 2024.
  5. Muhammad Arsalan, Abid Imran, Syed Salman Shah, Sahar Malaika, Zar Afshan Iqbal, “Deep Learning Based Autonomous Robotic Grasping and Sorting System for Industry 4.0”, IEEE Conference at NUST 2024.