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Öğretim Görevlisi Muhammad Shahab ALAM
Savunma Teknolojileri Enstitüsü

Muhammad Shahab ALAM
Telefon
(262) -
E-Posta
shahab@gtu.edu.tr
Ofis
R Blok, 2
Çalışma alanları
Motion Planning and Control of Mobile Robots, Agricultural Robotics and Automation

Book Chapters

Z. D. Daşkın, M. U. Khan, B. Irfanoglu, and M. S. Alam. "Strawberries Maturity Level Detection Using Convolutional Neural Network (CNN) and Ensemble Method." In Computer Vision and Machine Learning in Agriculture, Volume 3, pp. 131-145. Singapore: Springer Nature Singapore, 2023.

Journal papers

M. S. Alam, A. I. Güllü, and A. Güneş. "Fiducial Markers and Particle Filter based Localization and Navigation Framework for Autonomous Mobile Robot." SN Computer Science, Springer, (Accepted, Manuscript ID: SNCS-D-23-05726R1), 2024.

K. 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 (2022): 133152-133163.

M. S. Alam, M. Alam, M. Tufail, M. U. Khan, A. Güneş, 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, no. 3 (2022): 1308.

M. 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, no. 1 (2021): 90-96.

M. 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 (2021): 23814-23825.

M. S. Alam, M. U. Rafique, and M. U. Khan. "Mobile robot path planning in static environments using particle swarm optimization." arXiv preprint arXiv:2008.10000 (2020).

Conference Papers

A. I. Güllü, M. S. Alam, and A. Güneş. "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.

A. Gunes, A. I. Gullu, M. S. Alam, E. S. Sucu, S. Köse, A. G. Göze, H. E. Yaldız, A. A. Cihangeri, and Ç. Akman. "NLoS Measurement Elimination in UWB Signals Using Anomaly Detection." In 2023 31st Signal Processing and Communications Applications Conference (SIU), pp. 1-4. IEEE, 2023.

S. H. Shah, M. S. Alam, M. Arsalan, I. U. 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.

S. 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), vol. 1, pp. 1-6. IEEE, 2023.

F. 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.

M. 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.

S. 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.

M. 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.

M. 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, pp. 32-36. IEEE, 2015.

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