Publications

2025

Sai Mahesh Mudavat, Alakananda Mitra, Saraju P. Mohanty, Elias Kougianos, “LiteViT: Leveraging the Power of Transformers for Edge AI in Crop Disease Classification,” ISVLSI, 2025. [Accepted]
Indira Devi Siripurapu, Alakananda Mitra, Saraju P Mohanty, Elias Kougianos, “iLog 3.0: Estimating Food Volume from 2D Images Using Mask R-CNN and Monocular Depth Estimation,” ISVLSI, 2025. [Accepted]
D. H. Fleisher, D.J. Timlin, Z. Wang, S. Beegum, W. Sun, S. Li, J. Barnaby, A. Mitra, S. Yesilkoy, E. Han, and V.R. Reddy, “Current crop models: State-of-the-art and future developments” Book Chapter 07– USDA-ARS Adaptive Cropping Systems Laboratory Crop and Soil Models, Burleigh Dodds Science Publishing [In Print].
A. Alkinani, A. Mitra, S.P. Mohanty, E. Kougianos, “FruitPAL: An IoT-Enabled Framework for Automatic Monitoring of Fruit Consumption in Smart Healthcare, ” arXiv preprint arXiv:2502.01643, 2025, https://doi.org/10.48550/arXiv.2502.01643.

2024

A Mitra, S Karki, C Ray, D Fleisher, V Reddy, “Harnessing Deep Learning for Plant Growth Prediction,” ASA, CSSA, SSSA International Annual Meeting, San Antonio, TX, https://scisoc.confex.com/scisoc/2024am/meetingapp.cgi/Paper/160861
A Mitra, S Karki, D Fleisher, E Han, V Reddy, C Ray, D Vogt, “Geospatial Corn Yield Forecasting: A Location-Adaptive Approach,” In AGU Fall Meeting Abstracts, vol. 2024, no. 105, pp. GC51K-0105. 2024.
David Fleisher, Serhan Yeşilköy, Dennis Timlin, Sahila Beegum, Alakananda Mitra, Zhuangji Wang, Arindam Malakar, Santhosh Kumar Bethi, Eunjin Han, Vangimalla Reddy, Elysee Ndayishimiye, Chittaranjan Ray, Japhet Dushimeyesu, Yvon Ukwishaka, “Integrating on-farm Crop Production Data with In-Season Risk Management Decision Support Software,” In AGU Fall Meeting Abstracts, vol. 2024, no. 412, pp. GC53D-0412. 2024.
Alakananda Mitra, Sukrutha LT Vangipuram, Anand K Bapatla, Venkata KVV Bathalapalli, Saraju P Mohanty, Elias Kougianos, Chittaranjan Ray, “Smart Agriculture: A Comprehensive Overview,” SN Computer Science, 5, 969 (2024), https://doi.org/10.1007/s42979-024-03319-w.
A. Mitra, S. Beegum, D. Fleisher, V. R. Reddy, W. Sun, C. Ray, D. Timlin, and A. Malakar, “Cotton Yield Prediction: A Machine Learning Approach with Field and Synthetic Data”, IEEE Access, DOI: 10.1109/ACCESS.2024.3418139.
A. Mitra, S. P. Mohanty, and E. Kougianos, “ToEFL: A Novel Approach for Training on Edge in Smart Agriculture,” in Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI), 2024, pp. 657–662, DOI: https://doi.org/10.1145/3649476.3660381.
A. Mitra, S. P. Mohanty, and E. Kougianos, “The World of Generative AI: Deepfakes and Large Language Models,” arXiv preprint arXiv:2402.04373 (2024).
H. K. Kondaveeti, S. A. Athar, G. B. Sai, V. K. Vatsavayi, A. Mitra, and P. Ananthachari, “Federated Learning for Smart Agriculture: Challenges and Opportunities,” 6th International Conference on Computational Intelligence & Data Engineering (ICCIDE-2024), Andhra Pradesh, India, August 9-10, 2024.
C. G. Simhadri, H. K. Kondaveeti, V. K. Vatsavayi, A. Mitra, and P. Ananthachari, “Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies, and techniques,” Information Processing in Agriculture, 2024, ISSN 2214-3173, DOI: 10.1016/j.inpa.2024.04.006.

2023

A. Mitra, S. P. Mohanty, and E. Kougianos, “aGROdet 2.0: An Automated Real Time Approach for Multiclass Plant Disease Detection”, Springer Nature Computer Science (SN-CS), Vol. 4, No. 5, September 2023, Article: 657, 20-pages, DOI: 10.1007/s42979-023-02076-6.
A. Mitra, S. Beegum, D. Fleisher, V. R. Reddy, W. Sun, C, Ray, D. Timlin, and A. Malakar, “A Novel Machine Learning Approach for Cotton Yield Prediction,” ESS Open Archive, December 27, 2023, DOI: 10.22541/essoar.170365314.45002421/v1.
A. Mitra, S. P. Mohanty, and E. Kougianos, “Smart Agriculture – Demystified”, in the Internet of Things. Advances in Information and Communication Technology. IFIP-IoT, 2023, vol. 684, pp. 405-411, DOI: 10.1007/978-3-031-45878-1_28.
C. Dockendorf, A. Mitra, S. P. Mohanty, and E. Kougianos, “Lite-Agro: Exploring Light-Duty Computing Platforms for IoAT-Edge AI in Plant Disease Identification”, in the Internet of Things. Advances in Information and Communication Technology. IFIP-IoT 2023, vol 684, pp. 371-380. DOI: 10.1007/978-3-031-45882-8_25. (Best Paper @ Research Demo Session)
K. Kethineni, A. Mitra, S. P. Mohanty, and E. Kougianos, “WeedOut: An Autonomous Weed Sprayer in Smart Agriculture Framework using Semi-Supervised Non-CNN Annotation”, Internet of Things. Advances in Information and Communication Technology. IFIP-IoT 2023, vol 684, pp. 415-423. DOI: 10.1007/978-3-031-45878-1_29.
A. Mitra, S. Beegum, D. Fleisher, V. R. Reddy, W. Sun, C, Ray, D. Timlin, and A. Malakar, ”Cotton Yield Prediction Using Random Forest,” arXiv:2312.02299, DOI: 10.48550/arXiv.2312.02299.
A. Mitra, S. Beegum, D. Fleisher, V. R. Reddy, W. Sun, C. Ray, D. Timlin, and A. Malakar. “Cotton Yield Prediction Using Random Forest,” arXiv preprint arXiv:2312.02299 December 2023.
C. Dockendorf, A. Mitra, S. P. Mohanty, and E. Kougianos, “Lite-Agro 2.0: Integrating Federated and TinyML in Pear Disease Classification IoAT-Edge AI”, in Proceedings of the IEEE International Symposium on Smart Electronic Systems (iSES), 2023, pp. 429-432, DOI: 10.1109/iSES58672.2023.00096.
A. Alkinani, A. Mitra, S. P. Mohanty, and E. Kougianos, “FruitPAL: A Smart Healthcare Framework for Automatic Detection of Fruit Allergens”, in Proceedings of the IEEE International Symposium on Smart Electronic Systems (iSES), 2023, pp. 369-372, DOI: 10.1109/iSES58672.2023.00081.
A. Alkinani, A. Mitra, S. P. Mohanty, and E. Kougianos, “FruitPAL 2.0: A Smart Healthcare Framework for Automatic Monitoring of Fruit Consumption”, in Proceedings of the OITS International Conference on Information Technology (OCIT), 2023, Raipur, India, 2023, pp. 422-425, DOI: 10.1109/OCIT59427.2023.10430648 Mitra_IEEE-iSES_2023_Lite-Agro-2-0_RDS.

2022

A. Mitra, D. Bigioi, S. P. Mohanty, P. Corcoran, and E. Kougianos, “iFace 1.1: A Proof-of-Concept of a Facial Authentication Based Digital ID for Smart Cities,” IEEE Access Journal, Vol. 10, 2022, pp. 71791–71804, DOI: 10.1109/ACCESS.2022.3187686.
A. Mitra, A. Singhal, S. P. Mohanty, E. Kougianos, and C. Ray, “ eCrop: A Novel Framework for Automatic Crop Damage Estimation in Smart Agriculture”, Springer Nature Computer Science (SN-CS), Vol. 3, No. 319, 2022, Article: NN, 16-pages, DOI: 10.1007/s42979-022-01216-8.
A. Mitra, S. L. T. Vangipuram, A. K. Bapatla, V. K. V. V. Bathalapalli, S. P. Mohanty, E. Kougianos, and C. Ray, “Everything You wanted to Know about Smart Agriculture”, arXiv Computer Science, arXiv:2201.04754, Jan 2022, 45-pages, DOI: 10.48550/arXiv.2201.04754.
A. Mitra, S. Goel, S. P. Mohanty, E. Kougianos, and L. Rachakonda, “iLog 2.0: A Novel Method for Food Nutritional Value Automatic Quantification in Smart Healthcare”, in Proceedings of the IEEE International Symposium on Smart Electronic Systems (iSES), 2022, pp. 683–688, DOI: 10.1109/iSES54909.2022.00152.
A. Mitra, S. P. Mohanty, and E. Kougianos, “aGROdet: A Novel Framework for Plant Disease Detection and Leaf Damage Estimation”, in Proceedings of the IFIP International Internet of Things Conference (IFIP-IoT), 2022, pp. 3–22, DOI: 10.1007/978-3-031-18872-5_1.
A. Mitra, S. P. Mohanty, and E. Kougianos, “A Smart Agriculture Framework to Automatically Track the Spread of Plant Diseases using Mask Region-based Convolutional Neural Network,” in Proceedings of the IFIP International Internet of Things Conference (IFIP-IoT), 2022, pp. 68–85, DOI: 10.1007/978-3-031-18872-5_5.

2021

A. Mitra, S. P. Mohanty, P. Corcoran, and E. Kougianos, “A Machine Learning based Approach for Social Media Deepfake Video Detection through Key Video Frame Extraction”, Springer Nature Computer Science Journal, 2021, Vol. 2, No. 2, Article: 99, 18-pages, DOI: 10.1007/s42979-021-00495-x.
Alakananda Mitra, Saraju P. Mohanty, Peter Corcoran, and Elias Kougianos, “Detection of Deep-morphed Deepfake Images to Make Robust Automatic Facial Recognition Systems”, In Proceedings of the 19th OITS International Conference on Information Technology (OCIT), 2021, DOI: 10.1109/OCIT53463.2021.00039. (Best Paper)
Alakananda Mitra, Saraju P. Mohanty, Peter Corcoran, and Elias Kougianos, “iFace: A Deepfake Resilient Digital Identification Framework for Smart Cities”, In Proceedings of IEEE International Symposium on Smart Electronic Systems (iSES), 2021, DOI: 10.1109/iSES52644.2021.00090. (Nominated for Best Paper)
Alakananda Mitra, Saraju P. Mohanty, Peter Corcoran, and Elias Kougianos, “EasyDeep: An IoT Friendly Robust Detection Method for GAN Generated Deepfake Images in Social Media”, In Proceedings of the 4th IFIP International Internet of Things (IoT) Conference (IFIP-IoT), 2021, DOI: 10.1007/978-3-030-96466-5_14.

2020

A. Mitra, S.P. Mohanty, P. Corcoran, E. Kougianos: “A Novel Machine Learning based Method for Deepfake Video Detection in Social Media”, In Proceeding of IEEE International Symposium on Smart Electronic Systems (iSES), 2020, pp. 91-96, DOI: 10.1109/iSES50453.2020.00031.

Older

N. R. Das and A. Mitra, “A New Approach to the Modelling of Si-RFIC Inductor”, Microwave and Optical Technology Letters, Vol.48. No.6, June 2006, pp.1095-1101, DOI: 10.1002/mop.21610.
N. R. Das and Alakananda Mitra “Modeling of pin Photo-detector using Fuzzy Logic”, In Proceedings of the 3rd International Conference on Computers and Devices for Communication (CODEC-06), India, 2006, pp. 461-464.
N. R. Das, Alakananda Mitra, and Amit Maji, “A Simplified Approach to Model an IC Inductor on Si Substrate”, In Proceeding of General Assembly of International Union of Radio Science (URSI), India, 2005.