Publications
Selected and complete CV listings
21Journal publications
6Book chapters
29Conference papers
5Patents
SCI Journal Publications
1. S. Naragoni, A. Dasgupta, and P. R. Muduli, “DARL-Net: Deformable-asymmetric residual learning and learnable non-local attention-based low-dose CT image denoising,” Physica Medica, vol. 148, Art. no. 105874, 2026.
2. R. Gautam and A. Dasgupta, “LumiRoadGAN: Adaptive Generative Adversarial Network for Dark-to-Bright Road Image Translation,” IEEE MultiMedia, pp. 1–11, 2026.
3. H. Mattoo, A. Dasgupta, J. G. Sreenath, and P. Tripathy, “Data-driven gradient optimization-based approach for robust distribution system state estimation,” Sustainable Energy, Grids and Networks, vol. 46, Art. no. 102267, 2026.
4. A. Dasgupta, “Current Internet of Things technology for smart cities,” IEEE Instrumentation & Measurement Magazine, vol. 28, no. 6, pp. 3–11, 2025.
5. A. Dasgupta and A. Basu, “Measurement and instrumentation for mental stress detection in humans,” IEEE Instrumentation & Measurement Magazine, vol. 28, no. 2, pp. 10–17, 2025.
6. R. I. Mazumdar, A. Dasgupta, R. Gautam, P. Bhowmick, and N. Rudra, “Instrumentation methodologies for car accident prevention,” IEEE Instrumentation & Measurement Magazine, vol. 28, no. 2, pp. 40–50, 2025.
7. A. Dasgupta and R. Mukherjee, “A review of instrumentation for lung volume estimation for diagnosis of pulmonary disorders,” IEEE Instrumentation & Measurement Magazine, vol. 28, no. 6, pp. 12–20, 2025.
8. R. I. Mazumdar, A. Dasgupta, S. P. Chowdhury, and P. Bhowmick, “Exploring recent trends in transfer learning strategies: A case study on eye localization and eye state classification,” IEEE Computer, vol. 58, no. 2, pp. 10–17, 2025.
9. N. Saidulu, P. R. Muduli, and A. Dasgupta, “RHLNet: Robust hybrid loss-based network for low-dose CT image denoising,” IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1–11, 2024.
10. A. Dasgupta and A. Routray, “Piecewise empirical mode Bayesian estimation: A new method to denoise electrooculograms,”
Biomedical Signal Processing and Control, vol. 70, Art. no. 102945, 2021. DOI:
10.1016/j.bspc.2021.102945.
11. S. Chakraborty, A. Dasgupta, and A. Routray, “Localization of eye saccadic signatures in electrooculograms using sparse representations with data-driven dictionaries,” Pattern Recognition Letters, vol. 139, pp. 104–111, 2020.
12. S. Bhattacharya, A. Dasgupta, and A. Routray, “Multi-directional local adjacency descriptors (MDLAD) for heterogeneous face recognition,” IET Image Processing, vol. 14, pp. 982–994, 2019.
13. A. Dasgupta, S. M. Bhattacharya, and A. Routray, “A system for non-contact estimation of cognitive load using ocular parameters based on a serio-parallel computing framework,” IEEE Transactions on Cognitive and Developmental Systems, vol. 11, pp. 450–459, 2019.
14. A. Dasgupta, D. Rehman, and A. Routray, “A smartphone-based drowsiness detection and warning system for automotive drivers,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, pp. 4045–4054, 2018.
15. A. Basu, A. Dasgupta, A. Thyagarajan, A. Routray, R. Guha, and P. Mitra, “A portable personality recognizer based on affective state classification using spectral fusion of features,” IEEE Transactions on Affective Computing, vol. 9, pp. 330–342, 2018.
16. A. Dasgupta, S. Chakraborty, and A. Routray, “A two-stage framework for denoising electrooculography signals,” Biomedical Signal Processing and Control, vol. 31, pp. 231–237, 2017.
17. A. Sengupta, A. Dasgupta, A. Chaudhuri, A. George, A. Routray, and R. Guha, “A multimodal system for assessing alertness levels due to cognitive loading,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, pp. 1037–1046, 2017.
18. A. Dasgupta, A. George, S. L. Happy, and A. Routray, “A vision based system for monitoring the loss of attention in automotive drivers,” IEEE Transactions on Intelligent Transportation Systems, vol. 14, pp. 1825–1838, 2013.
Non-SCI Journals
19. A. Dasgupta, “Ocular diagnostics using electrooculography: Recent trends, challenges, and future directions,” IEEE Potentials, vol. 44, no. 2, pp. 24–31, 2025.
20. A. Dasgupta, “From doctoral research to entrepreneurship: A case study in bridging academia and entrepreneurship,” Journal of Global Entrepreneurship Research, vol. 15, no. 1, pp. 21–30, 2025.
21. A. Dasgupta, A. George, S. L. Happy, A. Routray, and T. Shanker, “An on-board vision-based system for drowsiness detection in automotive drivers,” International Journal of Advances in Engineering Sciences and Applied Mathematics, vol. 5, pp. 94–103, 2013.
Book Chapters
1. A. Dasgupta, S. Bhattacharya, A. Sengupta, and A. Paul, “Disease Classification Through Advanced Neural Networks,” in Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches, Elsevier, 2025.
2. S. Bhattacharya, A. Dasgupta, A. Sengupta, and K. Dutta, “Fundamentals of Convolutional Neural Networks (CNN),” in the same Elsevier volume, 2025.
3. R. Gautam, A. Dasgupta, A. D. Jaiswal, and D. Sharma, “Classification of Driving Condition Images for Semi-Autonomous Vehicles Through Data Augmentation and Transfer Learning,” in Current Progress in Engineering Sciences: Select Papers of RIC 2024, Springer Nature Singapore, 2025.
4. R. I. Mazumdar, V. Chaurasia, A. Dasgupta, and P. Bhowmick, “Portable Health Monitor for Car Drivers through Contact and Non-Contact Sensors,” in Current Progress in Engineering Sciences: Select Papers of RIC 2024, Springer Nature Singapore, 2025.
5. A. Dasgupta, A. Das, P. Deka, and S. Das, “Smart Cabin for Office using Embedded Systems and Sensors,” in Smart Embedded Systems Advances and Applications, CRC Press, 2023.
6. A. Sengupta, A. George, A. Dasgupta, A. Chaudhuri, B. Kabi, and A. Routray, “Alertness Monitoring System for Vehicle Drivers using Physiological Signals,” in Handbook of Research on Emerging Innovations in Rail Transportation Engineering, IGI Global, 2016.
Conference Proceedings
2026. I. Vishnudatta, A. Dasgupta, and M. Bhatt, “A Physics Informed Depth Aware Morphological Neural Network for Pulmonary Disease Diagnosis,” IEEE GCON.
2026. M. Gogoi, A. Dasgupta, and A. Basu, “Stress Identification from Facial Thermal Images using FTS-Net,” IEEE GCON.
2025. K. M. Kopparam, R. I. Mazumdar, R. Choudhury, and A. Dasgupta, “Driver health monitoring through multi-sensor signal estimation for detecting fever, tachycardia, bradycardia, hypoxia and stress,” 4th IEEE ASPCON, pp. 83–88.
2025. H. Mattoo, M. M. Sheikh, A. Dasgupta, S. J. G., and P. Tripathy, “Enhanced gradient-optimized tree boosting approach for distribution system state estimation considering non-Gaussian colored noise,” 4th PSET, Japan, IEEE.
2025. R. I. Mazumdar, A. Dasgupta, and P. Bhowmick, “PhantomNet: A lightweight convolutional network for distraction detection in automotive drivers,” 28th IEEE ITSC, Gold Coast, pp. 4109–4114.
2025. A. Dasgupta, A. Sengupta, and A. Das, “Few-shot glaucoma classification from fundus images using meta-learning models,” 7th ISPCC, pp. 70–74.
2025. A. Dasgupta, K. Jain, and R. Mukherjee, “Attention mechanism for pulmonary disease detection in X-ray images,” 7th ISPCC, pp. 168–172.
2025. R. I. Mazumdar, A. Dasgupta, and P. Bhowmick, “SafeDriveMetrics: A comprehensive database for visual, cognitive, and manual distractions using a driving simulator,” 3rd ISACC, pp. 704–709.
2024. R. Gautam, S. S. Manchare, and A. Dasgupta, “Improving detection of Indian traffic signs and signals in low-light conditions through YOLOv9 and generative adversarial networks,” IEEE INDICON, pp. 1–6.
2024. A. Dasgupta, A. Sengupta, and S. Bhattacharya, “Optic atrophy classification from fundus images with few-shot learning,” ICPR, pp. 362–374.
2024. S. Bhattacharya, A. Sengupta, and A. Dasgupta, “QDFCS: A comprehensive database for visual-sketch correspondence in forensic facial identification,” ICEFEET.
2024. S. Jain, S. Jain, A. Dasgupta, A. Sengupta, and S. Bhattacharya, “Improving education for visually challenged students through image captioning and automated reading,” ICEFEET.
2023. A. Basu, A. Dasgupta, A. Routray, and P. Mitra, “FVINet: Translating thermograms to facial vasculature imprints,” PReMI, pp. 783–790.
2023. A. Basu, A. Dasgupta, A. Routray, and P. Mitra, “Anisotropic diffusion based contrast enhancement of frontal facial thermograms to extract the facial vasculature,” IEEE GCON.
2018. A. Dasgupta, S. Chakraborty, A. Sengupta, and A. Routray, “Active sensors for the acquisition of physiological signals,” IEEE Sensors Conference, India.
2017. S. Chakraborty, A. Dasgupta, P. Dash, and A. Routray, “Development of a wireless wearable electrooculogram recorder for IoT-based applications,” 26th IEEE ISIE, pp. 1991–1995.
2016. A. Dasgupta, S. Chakraborty, P. Mondal, and A. Routray, “Identification of eye saccadic signatures in electrooculography data using time-series motifs,” IEEE INDICON.
2016. A. Dasgupta, S. Bhattacharya, and A. Routray, “SPECFACE: A dataset of human faces wearing spectacles,” IEEE Students’ Technology Symposium, pp. 289–293.
2016. S. Bhattacharya, A. Dasgupta, and A. Routray, “Robust face recognition of inferior quality images using local Gabor phase quantization,” IEEE Students’ Technology Symposium, pp. 294–298.
2016. A. Dasgupta, A. Mandloi, A. George, and A. Routray, “An improved algorithm for eye corner detection,” IEEE International Conference on Signal Processing and Communications.
2016. A. Dasgupta, S. Chakraborty, A. Chaudhuri, and A. Routray, “Evaluation of denoising techniques for EOG signals based on SNR estimation,” IEEE International Conference on Systems in Medicine and Biology, pp. 152–156.
2016. S. Chakraborty, A. Chaudhuri, A. Dasgupta, and A. Routray, “Determining ocular gaze point fixation captured during triggered full saccades using EOG,” IEEE International Conference on Systems in Medicine and Biology, pp. 105–108.
2016. A. Chaudhuri, A. Dasgupta, A. Routray, and S. Chakraborty, “A low-cost, wearable, portable EOG recording system,” IEEE International Conference on Systems in Medicine and Biology, pp. 102–105.
2016. A. Basu, A. Dasgupta, and A. Routray, “A thermographic method for the detection of respiratory alkalosis,” IEEE International Conference on Systems in Medicine and Biology, pp. 26–30.
2013. S. L. Happy, A. Dasgupta, P. Patnaik, and A. Routray, “Automated alertness and emotion detection for empathic feedback during e-learning,” IEEE International Conference on Technology for Education, pp. 47–50.
2012. S. L. Happy, A. Dasgupta, A. George, and A. Routray, “A video database of human faces under near infra-red illumination for human computer interaction applications,” IEEE International Conference on Intelligent Human Computer Interaction.
2012. A. Chaudhuri, A. Dasgupta, A. Routray, and S. Chakraborty, “Video and EOG based investigation of pure saccades in human subjects,” IEEE International Conference on Intelligent Human Computer Interaction.
2012. M. Singhvi, A. Dasgupta, and A. Routray, “A real time algorithm for detection of spectacles leading to eye detection,” IEEE International Conference on Intelligent Human Computer Interaction, pp. 1–6.
2011. S. Gupta, A. Dasgupta, and A. Routray, “Analysis of training of parameters in Haar-like features to detect human faces,” IEEE International Conference on Image Information Processing.
