Muhammad Shahab Alam

Muhammad Shahab Alam

Lecturer

Qualifications: MS (Mechatronics Engineering), Air University (2015)

Research Interests: Robotics, Computer Vision, Machine Learning, Reinforcement Learning

shahab.alam@giki.edu.pk

 

EDUCATION


2012 – 2015

MS Mechatronics Engineering

Air University, Islamabad, Pakistan.

 

2007 – 2011

BE Mechatronics Engineering

Air University, Islamabad, Pakistan.

 

 

 WORK EXPERIENCE


2025 – Present

 

Lecturer

GIK Institute of Engineering Sciences and Technology, Topi

2021 – 2025

Lecturer

Gebze Technical University, Gebze/Kocaeli, Turkey

2019 – 2021

Research Associate

NCRA, University of Engineering & Technology, Peshawar

2015 – 2019

Lecturer

Sarhad University of Sciences & IT, Peshawar

   

 

 

PUBLICATIONS


INTERNATIONAL JOURNAL PUBLICATIONS

 

  1. S. Alam, and M. U. Khan. “Way-Sout: A Waypoint-Centered Truncating Search Space Path Planning Algorithm for Mobile Robots.” Biomimetic Intelligence and Robotics, (Under Review) 2025.
  2. S. Siddique, H. B. Ertan, M. S. Alam, and M. U. Khan. “Investigation of Harmonic Losses to Reduce Rotor Copper Loss in Induction Motors for Traction Applications.” World Electric Vehicle Journal, 16(5), 248, 2025.
  3. Ozel, M. S. Alam, and M. U. Khan. “Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning.” Information, 15(9), 538, 2024.
  4. S. Alam, A. I. Gullu, and A. Gunes. “Fiducial Markers and Particle Filter based Localization and Navigation Framework for Autonomous Mobile Robot.” SN Computer Science, 5(6), 748, 2024.
  5. D. Daskin, M. S. Alam, and M. U. Khan. “Ensemble Transfer Learning using MaizeSet: A Dataset for Weed and Maize Crop Recognition at Different Growth Stages.” Crop Protection, 106849, 2024.
  6. Shah, M. S. Alam, F. E. Nasir, M. U. Qadir, I. U. Haq, and M. T. Khan. “Design and Performance Evaluation of a Novel Variable Rate Multi-Crop Seed Metering Unit for Precision Agriculture.” IEEE Access, 10, 133152–133163, 2022.
  7. S. Alam, M. Alam, M. Tufail, M. U. Khan, A. Gunes, B. Salah, F. E. Nasir, W. Saleem, and M. T. Khan. “Tobset: A New Tobacco Crop and Weeds Image Dataset and Its Utilization for Vision-based Spraying by Agricultural Robots.” Applied Sciences, 12(3), 1308, 2022.
  8. Alam, M. Aaqib, M. S. Alam, M. Tufail, and S. Anwar. “A Novel Machine Learning Technique for Classification of COVID-19 and Pneumonia.” Pakistan Journal of Engineering and Technology, 4(1), 90-96, 2021.
  9. Tufail, J. Iqbal, M. I. Tiwana, M. S. Alam, Z. A. Khan, and M. T. Khan. “Identification of Tobacco Crop based on Machine Learning for a Precision Agricultural Sprayer.” IEEE Access, 9, 23814–23825, 2021.
  10. S. Alam, M. U. Rafique, and M. U. Khan. “Mobile Robot Path Planning in Static Environments using Particle Swarm Optimization.” International Journal of Computer Science and Electronics Engineering (IJCSEE), 3(3), 253-257, 2015.

 

 

Book Chapters


  1. S. H. Shah, A. A. Royanto, M. S. Alam, S. G. Khan, and C. Lin, “Digital Twin for a Compliant Measurement Tool for Real-Time Surface Measurement in Robotic Machining.” Computers in Engineering Design and Manufacturing, CRC Press, (Forthcoming) 2024.
  2. Z. D. Daskin, M. U. Khan, B. Irfanoglu, and M. S. Alam, “Strawberries Maturity Level Detection using Convolutional Neural Network (CNN) and Ensemble Method.” Computer Vision and Machine Learning in Agriculture, Volume 3, Springer, pp. 131–145, 2023.

 

CONFERENCE PRESENTATIONS


  1. S. Alam, M. U. Khan, and A. Gunes. “Reinforcement Learning-Based Multi-Robot Path Planning and Congestion Management in Warehouse Order Picking.” In 2024 26th International Multi Topic Conference (INMIC), pp. 1-6, IEEE, 2024.
  2. I. Gullu, M. S. Alam, and A. Gunes. “Performance Evaluation of Reinforcement Learning and Graph Search-based Algorithm for Mobile Robot Path Planning.” In 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1-6, IEEE, 2023.
  3. Gunes, A. I. Gullu, M. S. Alam, E. S. Sucu, S. Kose, A. G. Goze, H. E. Yaldiz, A. A. Cihangeri, and C. Akman. “NLoS Measurement Elimination in UWB Signals Using Anomaly Detection.” In 31st IEEE Signal Processing and Communication Applications Congress (SIU), pp. 1-4, IEEE, 2023.
  4. H. Shah, M. S. Alam, M. Arsalan, I. Haq, S. G. Khan, and J. Iqbal. “Design and Adaptive Compliance Control of a Wearable Walk Assist Device.” In 2023 International Conference on Robotics and Automation in Industry (ICRAI), pp. 1-7, IEEE, 2023.
  5. Masroor, M. Arsalan, S. G. Khan, S. H. Shah, M. S. Alam, and A. Imran. “Design and Control of a Bionic Leg.” In 2023 International Multi-disciplinary Conference in Emerging Research Trends (IMCERT), pp. 1-6, IEEE, 2023.
  6. E. Nasir, M. S. Alam, M. Tufail, and M. T. Khan. “A Novel Pressure and Flow Control Technique for Variable-Rate Precision Agricultural Sprayer.” In 2021 International Conference on Robotics and Automation in Industry (ICRAI), pp. 1-6, IEEE, 2021.
  7. Alam, M. S. Alam, M. Roman, M. Tufail, M. U. Khan, and M. T. Khan. “Real-Time Machine Learning based Crop/Weed Detection and Classification for Variable-Rate Spraying in Precision Agriculture.” In 2020 7th International Conference on Electrical and Electronics Engineering (ICEEE), pp. 273-280, IEEE, 2020.
  8. H. Shah, M. Arsalan, S. G. Khan, M. T. Khan, and M. S. Alam. “Design and Compliance Control of a Robotic Gripper for Orange Harvesting.” In 2019 22nd International Multitopic Conference (INMIC), pp. 1-5, IEEE, 2019.
  9. S. Alam, M. U. Rafique, Z. Kauser, and M. Saleem. “Swarm Intelligence based Multi-Objective Path Planning in Environments Cluttered with Danger Sources.” In 2016 17th International Conference on Mechatronics-Mechatronika (ME), pp. 1-6, IEEE, 2016.
  10. S. Alam, and M. U. Rafique. “Mobile Robot Path Planning in Environments Cluttered with Non-Convex Obstacles using Particle Swarm Optimization.” In 2015 International Conference on Control, Automation and Robotics (ICCAR), pp. 32-36, IEEE, 2015.

 

 

PROFESSIONAL AFFLIATIONS


  • Member, Pakistan Engineering Council (PEC)

 

PROFESSIONAL DEVELOPMENT


 

Workshops

 

  1. Hands on Workshop on “Fundamentals of Deep Learning for Computer Vision by NVIDIA Deep Learning Institute” on August 6-9, 2019, at Advanced Robotics and Automation Lab, UET Peshawar, Pakistan.