Publications:

  1. Dhal, Sambandh Bhusan, Debashish Kar, and Sergio Capareda. “Intelligent Valorization: Integrating AI, Imaging, and Sustainability for Next-Generation Biofuel Systems.” Global Energy Interconnection (2026). doi: 10.1016/j.gloei.2025.10.009.

  2. Rao, Keerthan R., Robert A. Kinoshita, Conner A. Lacey, Tyson J. Low, et al., Sambandh Bhusan Dhal. “SENTINEL: A Comprehensive AI-Enhanced Hyperspectral Sorting System and Testbed for Sensing and Machine Learning Applications.” ChemRxiv preprint (2026). doi: 10.26434/chemrxiv.15002937/v2.

  3. Panda, Susmita, Debashish Kar, Sambandh Dhal, Krishna Chaitanya Gadepally, and Stavros Kalafatis. “Hybrid Deep Learning Approach for Skin Disease Classification Using Adaptive Segmentation and Dual-Stage EfficientNet.” In 2025 1st International Conference on Data Science and Intelligent Network Computing (ICDSINC), IEEE (2025). doi: 10.1109/ICDSINC66221.2025.11448188.

  4. Panda, Susmita, Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Kevin Nowka, and Stavros Kalafatis. “A Privacy First Path Analysis Using Clickstream Data.” In 2025 International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity (ISAC3), IEEE (2025). doi: 10.1109/ISAC364032.2025.11156418.

  5. Kar, Debashish, and Sambandh Bhusan Dhal. “Advancing Food Security through Drone-Based Hyperspectral Imaging: Applications in Precision Agriculture and Post-Harvest Management.” Environmental Monitoring and Assessment 197, no. 3 (2025): 283. doi: 10.1007/s10661-025-13650-1.

  6. Dhal, Sambandh Bhusan, and Debashish Kar. “Leveraging Artificial Intelligence and Advanced Food Processing Techniques for Enhanced Food Safety, Quality, and Security: A Comprehensive Review.” Discover Applied Sciences 7 (2025): 75. doi: 10.1007/s42452-025-06472-w.

  7. Tyagi, Kanishka, Isha K. Maun, Nalin Kumar, Al-Shafayet Haque Silvy, Bin Chen, Lorenzo J. Vega Montoto, Keerthan Raghavendra Rao, and Sambandh Bhusan Dhal. “Development of an Economically Viable AI-Enabled Sorting Technology for Complex Plastic Waste Streams.” 2025 REMADE Circular Economy Technology Summit & Conference (2025). doi: 10.65569/PIOZ7208.

  8. Dhal, Sambandh Bhusan, Shikhadri Mahanta, Janie McClurkin Moore, and Stavros Kalafatis. “Machine Learning-Based Analysis of Nutrient and Water Uptake in Hydroponically Grown Soybeans.” Scientific Reports 14, no. 1 (2024): 24337.

  9. Dhal, Sambandh, Ulisses Braga-Neto, Jorge Alvarado, and Benjamin Wherley. “Machine Learning-Based Smart Irrigation Controller for Runoff Minimization in Turfgrass Irrigation.” Smart Agricultural Technology 9 (2024): 100569.

  10. Dhal, Sambandh Bhusan, and Debashish Kar. “Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization.” Forecasting 6, no. 4 (2024): 925–951. doi: 10.3390/forecast6040046.

  11. Dhal, Sambandh Bhusan, Rishabh Singh, Tushar Pandey, Sheelabhadra Dey, Stavros Kalafatis, and Vivekvardhan Kesireddy. “Modeling Sea Level Rise Using Ensemble Techniques: Impacts on Coastal Adaptation, Freshwater Ecosystems, Agriculture and Infrastructure.” Analytics 3, no. 3 (2024): 276–296. doi: 10.3390/analytics3030016.

  12. Dhal, Sambandh, Shubham Jain, Krishna Chaitanya Gadepally, Prathik Vijaykumar, Ulisses Braga-Neto, Bhavesh Hariom Sharma, Bharat Sharma Acharya, Kevin Nowka, and Stavros Kalafatis. “Predicting Large Wildfires in the Contiguous United States Using Deep Neural Networks.” Journal of Applied Remote Sensing 18, no. 2 (2024): 028501.

  13. Dhal, Sambandh Bhusan, Stavros Kalafatis, Ulisses Braga-Neto, Krishna Chaitanya Gadepally, Jose Luis Landivar-Scott, Lei Zhao, Kevin Nowka, Juan Landivar, Pankaj Kumar Pal, and Mahendra Bhandari. “Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops.” Remote Sensing 16, no. 11 (2024): 1906.

  14. Malik, Vinod Kumar, Pooja Sangwan, Manjeet Singh, Pavitra Kumari, Niharika Sheoran, Navjeet Ahalawat, Mukesh Kumar, Harsh Deep, Kamla Malik, Preety Verma, Pankaj Yadav, Sheetal Kumari, Aakash, and Sambandh Dhal. “Stem Rot of Pearl Millet Prevalence, Symptomatology, Disease Cycle, Disease Rating Scale and Pathogen Characterization in Pearl Millet–Klebsiella Pathosystem.” Plant Pathology Journal 40 (2024): 48–54.

  15. Dhal, Sambandh, Briana M. Wyatt, Shikhadri Mahanta, Nishan Bhattarai, Sadikshya Sharma, Tapas Rout, Pradip Saud, and Bharat Sharma Acharya. “Internet of Things (IoT) in Digital Agriculture: An Overview.” Agronomy Journal 116, no. 3 (2024): 1144–1163.

  16. Gadepally, Krishna Chaitanya, Sambandh Bhusan Dhal, Stavros Kalafatis, and Kevin J. Nowka. “Realistic Predictors for Regression and Semantic Segmentation.” In 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA), pp. 153–155. IEEE, 2023. doi: 10.1109/SERA57763.2023.10197824.

  17. Gadepally, Krishna Chaitanya, Sambandh Bhusan Dhal, Stavros Kalafatis, and Kevin Nowka. “Systematic Model Complexity Reduction by Elimination of Irrelevant Layers in Convolutional Neural Networks.” International Journal of Research in Electronics and Computer Engineering 11, no. 2 (2023).

  18. Dhal, Sambandh Bhusan, Shikhadri Mahanta, Jonathan Gumero, Nick O’Sullivan, Morayo Soetan, Julia Louis, Krishna Chaitanya Gadepally, Snehadri Mahanta, John Lusher, and Stavros Kalafatis. “An IoT-Based Data-Driven Real-Time Monitoring System for Control of Heavy Metals to Ensure Optimal Lettuce Growth in Hydroponic Set-Ups.” Sensors 23, no. 1 (2023): 451.

  19. Dhal, Sambandh Bhusan, Shikhadri Mahanta, Krishna Chaitanya Gadepally, Samuel He, Mary Hughes, Janie Moore, Kevin J. Nowka, and Stavros Kalafatis. “CNN-Based Real-Time Prediction of Growth Stage in Soybeans Cultivated in Hydroponic Set-Ups.” In SoutheastCon 2023, pp. 193–197. IEEE, 2023. doi: 10.1109/SoutheastCon51012.2023.10115131.

  20. Gadepally, Krishna Chaitanya, Sambandh Bhusan Dhal, Mahendra Bhandari, Juan Landivar, Stavros Kalafatis, and Kevin Nowka. “A Deep Transfer Learning Based Approach for Forecasting Spatio-Temporal Features to Maximize Yield in Cotton Crops.” In 2023 57th Annual Conference on Information Sciences and Systems (CISS), pp. 1–4. IEEE, 2023.

  21. Dhal, Sambandh Bhusan, Kyle Jungbluth, Raymond Lin, Seyed Pouyan Sabahi, Muthukumar Bagavathiannan, Ulisses Braga-Neto, and Stavros Kalafatis. “A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations.” Sensors 22, no. 9 (2022): 3510.

  22. Dhal, Sambandh Bhusan, Muthukumar Bagavathiannan, Ulisses Braga-Neto, and Stavros Kalafatis. “Nutrient Optimization for Plant Growth in Aquaponic Irrigation Using Machine Learning for Small Training Datasets.” Artificial Intelligence in Agriculture 6 (2022): 68–76.

  23. Dhal, Sambandh Bhusan, Muthukumar Bagavathiannan, Ulisses Braga-Neto, and Stavros Kalafatis. “Can Machine Learning Classifiers Be Used to Regulate Nutrients Using Small Training Datasets for Aquaponic Irrigation? A Comparative Analysis.” PLOS ONE 17, no. 8 (2022): e0269401.

  24. Qian, Quandong, Kevin Yu, Pappu Kumar Yadav, Sambandh Dhal, Stavros Kalafatis, J. Alex Thomasson, and Robert G. Hardin IV. “Cotton Crop Disease Detection on Remotely Collected Aerial Images with Deep Learning.” In Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VII, vol. 12114, pp. 23–31. SPIE, 2022.

  25. Sharma, Sadikshya, Sambandh Dhal, Tapas Rout, and Bharat Sharma Acharya. “Drones and Machine Learning for Estimating Forest Carbon Storage.” Carbon Research 1, no. 1 (2022): 21.

  26. Dhal, Sambandh Bhusan, Jonathan Gumero, Nick O’Sullivan, Morayo Soetan, Julia Louis, Shikhadri Mahanta, John Lusher, and Stavros Kalafatis. “An IoT-Based Smart Real-Time Sensing and Control of Heavy Metals to Ensure Optimal Growth of Plants in an Aquaponic Set-Up.” Proceedings of the 15th International Conference on Precision Agriculture, Minneapolis, Minnesota (2022).

  27. Dhal, Sambandh Bhusan, Anirudh Singh Shaktawat, Arun Agarwal, and Kabita Agarwal. “Improvement in Object Segmentation Techniques over a Live Video Sequence with Optimal Inference Run-Time Using Deep Neural Networks.” International Journal of Research in Electronics and Computer Engineering 6, no. 3 (2018).

  28. Shaktawat, Anirudh Singh, Sambandh Bhusan Dhal, Arun Agarwal, and Kabita Agarwal. “Review of Machine Learning Algorithms for Predicting Power Requirements for Unmanned Marine Vehicles.” International Journal of Research in Electronics and Computer Engineering 6, no. 3 (2018): 2087–2090.

  29. Dhal, Sambandh Bhusan, Arun Agarwal, and Kabita Agarwal. “Solar Powered Mobile Power Bank Systems.” American Journal of Electrical and Electronic Engineering 4, no. 5 (2016): 148–151.

  30. Dhal, Sambandh Bhusan, Arun Agarwal, and Kabita Agarwal. “Smart Electronic Travel Stick for the Visually Challenged.” American Journal of Electrical and Electronic Engineering 4, no. 6 (2016): 177–181.

  31. Dhal, Sambandh Bhusan, Arun Agarwal, and Kabita Agarwal. “Principles of Smart Car Parking Management System (With Efficient Corridor Lighting).” American Journal of Electrical and Electronic Engineering 4, no. 6 (2016): 152–156.