University of Science and Technology Chittagong

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Sarowar Morshed Shawon

Assistant Professor
Electrical and Electronic Engineering
Email: shawon@ustc.ac.bd

Profile

Sarowar Morshed Shawon is an Assistant Professor at the University of Science and Technology Chittagong (USTC), with expertise in Precision Agriculture (PA), Smart Grid Technologies, Machine Learning (ML), and the Internet of Things (IoT). He earned his Bachelor of Engineering in Electrical Engineering (BEngSc.) in 2016 and a Master of Engineering by Research (MEngSc.) in 2021 from Multimedia University, Malaysia. During his master’s research, he achieved notable recognition by winning the championship at the Research, Innovation, Commercialization, and Entrepreneurship Showcase (RICES) in 2019.

Sarowar’s research focuses on leveraging AI and IoT to address critical challenges in agriculture and energy systems. In Precision Agriculture, he develops innovative solutions for Soil-Water Interaction Analysis and Crop Yield Prediction, integrating advanced Machine Learning (ML) and Deep Learning (DL) techniques with IoT-driven frameworks to enhance agricultural efficiency and sustainability. In the energy domain, his expertise lies in designing state-of-the-art ML and DL-based frameworks for Electrical Load Forecasting, contributing to smarter and more resilient energy grids.

In addition to his academic role, Sarowar has been serving as a Research Executive at the USTC Research Cell (URC) since 2022, actively contributing to research development and innovation initiatives. He has successfully secured research project grants aimed at advancing sustainable technologies in the field of precision agriculture. Furthermore, he has published numerous high impact factor articles in reputable journals and conferences, sharing his insights on topics ranging from smart grid optimization to data-driven agricultural solutions.

Education

  • Bachelor of Engineering in Electrical Engineering (BEngSc.), Multimedia University, Malaysia
  • Master of Engineering by Research (MEngSc.), Multimedia University, Malaysia

Program Affiliated

  • Bachelor of Science in Electrical and Electronic Engineering (EEE)

Areas of Interest

  • Precision Agriculture
  • Time-series Forecasting
  • Machine Learning
  • Deep Learning
  • Internet of Things

Courses Taught

  • Electrical Machines
  • High Voltage Engineering
  • Power System Protection
  • Renewable Energy and Technology
  • Electrical Properties of Materials
  • Instrumentation and Measurement Techniques
  • Computer Architectures
  • Machine Learning

Journals & Articles

Journals

  • S. M. Shawon, M. Zaman, S. Maniam, M. A. Qwaid, M. T. Sarker, T. Y. Kheng, and H. Y. Wong, “Explainable quantile CNN-LSTM model for uncertainty-aware multi-layer soil moisture prediction in tropical cocoa plantations,” Scientific Reports, 2026. doi: https://doi.org/10.1038/s41598-026-48517-z, (Q1, IF: 4.3, CS: 6.9, WoS-SCIE, Nature Portfolio).
  • S. M. Shawon, I. A. Adan, M. Moniruzzaman, O. H. Sinan, M. J. Abed, M. A. Qwaid, M.T Sarker and H. A. Karim, “Federated learning approaches in precision agriculture: A systematic review of current trends, challenges, and opportunities,” IEEE Access, vol. 14, pp. 30513–30538, 2026. doi: https://doi.org/10.1109/ACCESS.2026.3667548, (Q1, IF: 3.6, CS: 9.0, WoS-SCIE).
  • M. A. Qwaid, M. T. Sarker, S. M. Shawon, and H. T. Zubair, “AI-enabled smart farming framework for sustainable date palm cultivation in arid regions using machine learning and IoT integration,” Scientific Reports, vol. 16, Art. no. 5125, 2026. doi: https://doi.org/10.1038/s41598-026-36106-z, (Q1, IF: 4.3, CS: 6.9, WoS-SCIE, Nature Portfolio).
  • S. M. Shawon, S. N. Haider, A. Barua, S. Austin, I. A. Adan, M. S. Hossain, and H. T. Zubair, “Hybrid CNN-LSTM model for urban energy load forecasting with IGA-XAI for smart grids,” Results in Engineering, 2025. doi: https://doi.org/10.1016/j.rineng.2025.107245, (Q1, IF: 7.9, CS: 7.3, Scopus and WoS-ESCI).
  • S. M. Shawon, F. L. Niha, O. H. Sinan et al., “Integrating federated learning and explainable AI for plant disease detection: A systematic review of recent advances in precision agriculture,” Int. J. Computational Intelligence Systems, vol. 19, Art. no. 138, 2026. doi: https://doi.org/10.1007/s44196-026-01219-w, (Q2, IF: 3.0, CS: 3.4, WoS-SCIE).
  • S. M. Shawon, M. Zaman, S. Maniam, T. Y. Kheng, and H. Y. Wong, “Climate-aware hybrid 1D-CNN-LSTM model for multi-layer soil moisture prediction in tropical cocoa plantations,” Climate Smart Agriculture, vol. 3, no. 1, Art. no. 100096, 2026. doi: https://doi.org/10.1016/j.csag.2025.100096, (Scopus).
  • M. A. Qwaid, M. T. Sarker, S. Hossen, S. M. Shawon, and H. A. Karim, “A hybrid ANN–RF and IoT-enabled framework for water–energy optimization in arid smart farming,” Smart Agricultural Technology, 2026. doi: https://doi.org/10.1016/j.atech.2026.102098, (Q1, IF: 5.7, CS: 7.7, Scopus).
  • S. M. Shawon, N. I. Neha, A. N. Jui, N. Dey, and H. T. Zubair, “Advances in soil moisture measurement techniques and prediction using artificial intelligence: A systematic review,” Smart Agricultural Technology, vol. 12, Art. no. 101613, 2025. doi: https://doi.org/10.1016/j.atech.2025.101613, (Q1, IF: 5.7, CS: 7.7, Scopus).
  • S. M. Shawon, F. B. Ema, A. K. Mahi, F. L. Niha, and H. T. Zubair, “Crop yield prediction using machine learning: An extensive and systematic literature review,” Smart Agricultural Technology, vol. 10, Art. no. 100718, 2025. doi: https://doi.org/10.1016/j.atech.2024.100718, (Q1, IF: 5.7, CS: 7.7, Scopus).
  • Aggarwal M, Khullar V, Rani S, Prola TA, Bhattacharjee SB, Shawon S. M., et al. Federated learning on internet of things: extensive and systematic review. Computer Material and Continua 2024;79(2):1795-1834. doi: https://doi.org/10.32604/cmc.2024.049846¬¬, (Q2, IF: 3.2, CS: 5.0, WoS-SCIE).
  • A. Barua, S. N. Haider, S. Austin, and S. M. Shawon, “Urban energy load dataset of Chattogram: Peak and off-peak variability insights,” Data in Brief, vol. 63, Art. no. 112245, 2025. doi: https://doi.org/10.1016/j.dib.2025.112245 , (Q3, IF: 1.4, CS: 2.6, Scopus).

Book Chapter

  • S. M. Shawon, S. N. Haider, A. Barua, S. Austin,”HybridNet: ResNet50-GRU Integration for Enhanced Rice Leaf Disease Classification in Precision Agriculture”, Lecture Notes in Networks and Systems (LNNS), 2024, Springer, Electronic ISSN: 2367-3389.¬¬¬ doi: https://doi.org/10.1007/978-981-96-2721-9_39

Conference Proceedings

  • S. M. Shawon, I. A. Adan, S. N. Haider, A. Barua and S. Austin, “FED-LGBM-GRU-AE: A Hybrid Deep-Boosted Model for Accurate Crop Yield Prediction in Precision Agriculture,” 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1-6, doi: 10.1109/QPAIN66474.2025.11171807.
  • S. Austin, A. Barua, S. N. Haider, F. L. Niha, M. Faisal and S. M. Shawon, “Precision Classification of Potato Diseases Using Transformer-Enhanced CNNs,” 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1-6, doi: 10.1109/QPAIN66474.2025.11172153.
  • S. M. Shawon, S. Islam and T. T. Sahe, “Cropcast: A Comparative Analysis of Multi-Model Soil Nutrient-Based Crop Recommendation Techniques for Precision Agriculture,” 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1-6, doi: 10.1109/QPAIN66474.2025.11171683.
  • S. M. Shawon, M. S. Rahman, S. N. Haider, A. Barua and S. Austin, “Fed-XGBoost-LGBM: Privacy-Preserving Multi-Crop Recommendation Using Federated XGBoost-LGBM Ensemble on Imbalanced Soil Data,” 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1-6, doi: 10.1109/QPAIN66474.2025.11171770.
  • S. M. Shawon, M. W. Alam and M. T. Islam, “AI-Powered Thyroid Disorder Prediction: A Machine Learning Based Comparative Analysis,” 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), Rangpur, Bangladesh, 2025, pp. 1-6, doi: 10.1109/QPAIN66474.2025.11171828.
  • S. M. Shawon, N. I. Neha, A. N. Jui, N. Dey and M. M. S. Raihan, “AgriAI: Machine Learning Frameworks for Tailored Crop Recommendations using Soil Nutrient Parameters,” 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), Dhaka, Bangladesh, 2024, pp. 1-6, doi: 10.1109/iCACCESS61735.2024.10499482.
  • S. M. Shawon, F. Barua Ema, A. K. Mahi and M. Mohsin Sarker Raihan, “Crop Yield Prediction: Robust Machine Learning Approaches for Precision Agriculture,” 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2023, pp. 1-6, doi: 10.1109/ICCIT60459.2023.10441634.
  • S. M. Shawon, A. Barua and J. Sultana, “Navigating Solar Peaks: Simulation Study of Fuzzy Logic and Improved Perturb & Observe MPPT Techniques for Standalone PV Systems,” 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Dhaka, Bangladesh, 2024, pp. 1269-1274, doi: 10.1109/ICEEICT62016.2024.10534502.
  • A. N. Jui, N. Dey, K. N. -E. -A. Siddiquee and S. M. Shawon, “Botanika: An IoT-Enabled Solar Powered Soil Profiling Sensor Probe for Rooftop Gardening,” 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2024, pp. 1-6, doi: 10.1109/ICAEEE62219.2024.10561822.
  • N. Tasnim, N. H. Rattre, S. M. Shawon, M. S. Alam and T. Alam, “Microwave Marvels: Design and Computational Analysis of an Ultra-thin Metamaterial Absorber for C, X and K Band,” 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Dhaka, Bangladesh, 2024, pp. 610-615, doi: 10.1109/ICEEICT62016.2024.10534515.
  • S. M. Shawon, Ijaz Ali, Gobbi Ramasamy, “Mastering Programmable Logic Controller: A self-directed learning approach”, 2015 4th EURECA International Conference, Kulalumpur, Malaysia, 2015, pp. 778-786.
  • S. M. Shawon, S. N. Haider, “DeepFlowNet: Deep Learning Based Daily Water Flow Forecasting of Test River”, 2024 International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON), Rajshahi, Bangladesh, 2024, pp. 839-844, doi: 10.1109/PEEIACON63629.2024.10800657.
  • A. Barua, S. N. Haider, S. Austin, S. M. Shawon, “Super Hybrid Deep Learning Framework: Transformer-LSTM-CNN-DNN for Accurate Multi-Location Load Forecasting”, 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2024, pp. 3266-3271, doi: 10.1109/ICCIT64611.2024.11022165.
  • S. M. Shawon, A. N. Adnan, K. S. Noor, Z. Kabir and A. Chakrabarty, “Design and Development of Solar Powered IoT Enabled Multi-Layer Soil Moisture Probe”, 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh, 2024, pp. 3456-3461, doi: 10.1109/ICCIT64611.2024.11022332.
  • P. Roy, K. R. Noor, S. M. Shawon, “Safe-Women: An IoT-Enabled Smart Safeguarding Device for Enhancing Women’s Security”, 2024 International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON), Rajshahi, Bangladesh, 2024, pp. 422-427, doi: 10.1109/PEEIACON63629.2024.10800250.
  • S. M. Shawon, S. N. Haider, A. Barua, S. Austin and K. R. Noor, “Predictive Modelling for Multi-Location Deep Learning based Load Forecasting: An Integrated Approach,” 2024 13th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2024, pp. 22-27, doi: 10.1109/ICECE64886.2024.11024879.
  • U. Barua, N. Tabassum, S. Austin, A. Barua, S. N. Haider, and S. M. Shawon, “An improved hybrid 3D U-Net and ResNet101 Framework for Brain Tumor Segmentation and Classification from MRI Scans,” in Proc. 28th Int. Conf. Computer and Information Technology (ICCIT), 2025 (accepted).
  • F. L. Niha, S. Austin, S. N. Haider, A. Barua, and S. M. Shawon, “AgriNet-Web: An Improved Hybrid UNet-ResNet50 Approach for Potato Leaf Disease Surveillance via Web Platform,” in Proc. 28th Int. Conf. Computer and Information Technology (ICCIT), 2025 (accepted).
  • S. N. Haider, A. Barua, S. Austin, and S. M. Shawon, “Lightweight Federated and Explainable AI Enhanced Crop Yield Forecasting in Heterogeneous Agricultural Systems,” in Proc. 28th Int. Conf. Computer and Information Technology (ICCIT), 2025 (accepted).
  • S. M. Shawon, P. Dutta, S. N. Haider, A. Barua, S. Austin, and I. A. Adan, “Agri-Light-Fed: Lightweight Federated Learning with Explainable AI for Efficient and Privacy-Preserving Crop Yield Prediction,” in Proc. 28th Int. Conf. Computer and Information Technology (ICCIT), 2025 (accepted).

University of Science and Technology Chittagong (USTC)

EIIN: 136638
Foy’s Lake, Zakir Hossain Road Chattogram 4202.
Email: registrar@ustc.ac.bd
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