[1] T. Sharma, N. K. Verma, and Y. Cui, "Multiethnic Machine Learning for Omics based Cancer Prognosis: From Feature Engineering to Disparity Detection and Mitigation," IEEE Transactions on Artificial Intelligence, pp. 1-12, December 2025. (Early Access) DOI: 10.1109/TAI.2025.3640596

[2] L. Agrawal, V. V. Saradhi, and T. Sharma, "Fairness in Constrained Spectral Clustering," Neurocomputing, vol. 634, pp. 1-16, March 2025. DOI: 10.1016/j.neucom.2025.129815

[3] A. Agrawal, T. Sharma, and N. K. Verma, "A Comprehensive Exploration of Real-Time 3D View Reconstruction Methods," IEEE Transactions on Artificial Intelligence, vol. 5, no. 12, pp. 5915-5927, December 2024. DOI: 10.1109/TAI.2024.3477425

[4] T. Sharma and N. K. Verma, "Adaptive interval Type-2 fuzzy filter: an AI agent for handling uncertainties to preserve image naturalness," IEEE Transactions on Artificial Intelligence, vol. 2, no. 1, pp. 83-92, February 2021. DOI: 10.1109/TAI.2021.3077522

[5] T. Sharma and N. K. Verma, "Estimating depth and global atmospheric light for image dehazing using Type-2 fuzzy approach," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 1, pp. 93-102, February 2022. DOI: 10.1109/TETCI.2020.3032970

[6] T. Sharma, N. K. Verma, and S. Masood, "Mixed fuzzy pooling in convolutional neural networks for image classification," Multimedia Tools and Applications, Springer, vol. 82, no. 6, pp. 8405-8421, March 2023. DOI: 10.1007/s11042-022-13553-0

[7] T. Sharma, I. Agrawal, and N. K. Verma, "CSIDNet: compact single image dehazing network for outdoor scene enhancement," Multimedia Tools and Applications, Springer, vol. 79, no. 41, pp. 30769-30784, July 2020. DOI: 10.1007/s11042-020-09496-z

[8] T. Sharma and N. K. Verma, "Single image dehazing and non-uniform illumination enhancement: A Z-score approach," SN Computer Science, vol. 2, no. 6, pp. 1-15, November 2021. DOI: 10.1007/s42979-021-00912-1

[9] Y. Gao, T. Sharma, and Y. Cui, "Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective," Annual Review of Biomedical Data Science, vol. 6, pp. 153-171, August 2023. DOI: 10.1146/annurev-biodatasci-020722-020704

[10] A. Bhola, T. Sharma, and N. K. Verma, "DCNet: Dark Channel NETwork for single image dehazing," Machine Vision and Applications, Springer, vol. 32, no. 62, pp. 1-11, March 2021. DOI: 10.1007/s00138-021-01173-x

[11] N. K. Verma, T. Sharma, S. Dixit, P. Agrawal, S. Sengupta, and V. Singh, "BIDEAL: a toolbox for bicluster analysis - generation, visualization and validation," SN Computer Science, Springer, vol. 2, no. 24, pp. 1-15, January 2021. DOI: 10.1007/s42979-020-00411-9

[12] P. Agrawal, T. Sharma, and N. K. Verma, "Supervised approach for object identification using speeded up robust features," International Journal of Advanced Intelligence Paradigms, vol. 15, no. 2, pp. 165-182, February 2020. DOI: 10.1504/IJAIP.2020.105142

[13] V. Singh, P. Agrawal, T. Sharma, and N. K. Verma, "Improved adaptive Type-2 fuzzy filter with exclusively two fuzzy membership function for filtering salt and pepper noise," Multimedia Tools and Applications, Springer, vol. 82, no. 13, pp. 20015-20037, December 2022. DOI: 10.1007/s11042-022-14248-2

[14] N. Agrawal, T. Bolla, T. Sharma, and N. K. Verma, "Transfer Learning in Cross-Domain Fault Diagnosis: An Application to Gearbox Faults," 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, USA, January 5-7, 2026. DOI: 10.1109/CCWC67433.2026.11393723

[15] A. Singh, B. K. Das, T. Sharma, and N. K. Verma, "YOLOv8-DINOv2 Approach for Vision based Object Counting," 17th International Conference on Intelligent Human-Computer Interaction (IHCI), Jaipur, India, November 14-16, 2025.

[16] P. Saxena, T. Sharma, N. K. Verma, A. Salour, and S. Vasikarla, "Dark Channel Prior Infused All-in-One Dehazing Network (DCPI-AODNet) for Single Image Dehazing," 53rd Applied Imagery Pattern Recognition (AIPR) Workshop, Washington, D.C., USA, October 13-14, 2025. DOI: 10.1007/978-3-032-18474-0_27

[17] M. Aquib, D. Singh, T. Sharma, N. K. Verma, and M. J. Akhtar, "Examining Fuzzy Cluster Validity Through the Lens of Ecological Diversity," 2025 IEEE International Conference on Fuzzy Systems (FUZZ), Reims, France, July 6-10, 2025. DOI: 10.1109/FUZZ62266.2025.11152281

[18] L. Agrawal, V. V. Saradhi, and T. Sharma, "Equitable Representation of Demographic Groups in Constrained Spectral Clustering," 2025 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, California, USA, May 5-7, 2025. DOI: 10.1109/CAI64502.2025.00034

[19] L. Agrawal, V. V. Saradhi, and T. Sharma, "Fair One-Step Spectral Rotation Clustering via Adaptive Graph Learning," Advances in Knowledge Discovery and Data Mining: 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part II. DOI: 10.1007/978-981-96-8173-0

[20] A. Gupta, J. Kaur, T. Doshi, T. Sharma, N. K. Verma, and S. Vasikarla, "Stacked Ensemble of Fine-Tuned CNNs for Knee Osteoarthritis Severity Grading," 15th IEEE Annual Ubiquitous Computing, Electronics \& Mobile Communication Conference (UEMCON), IBM T.J. Watson Research Center, New York, USA, October 17-19, 2024. (Accepted and Presented)

[21] A. Agrawal, T. Sharma, N. K. Verma, and S. Vasikarla, "Modified Transmission Map Function With Hyperparameter Tuning for Single Image Dehazing," 15th IEEE Annual Ubiquitous Computing, Electronics \& Mobile Communication Conference (UEMCON), IBM T.J. Watson Research Center, New York, USA, Oct. 17-19, 2024. (Accepted and Presented)

[22] D. Singh, M. Aquib, T. Sharma, and N. K. Verma, "Robustness of General Type-2 TSK Fuzzy Systems," 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Yokohama, Japan, June 30 - July 05, 2024. DOI: 10.1109/FUZZ-IEEE60900.2024.10611802

[23] A. Agrawal, T. Sharma, N. K. Verma, and S. Vasikarla, "Image Based and Point Cloud Based Methods for 3D View Reconstruction in Real-Time Environment," 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, January 8-10, 2024, pp. 1-7. DOI: 10.1109/CCWC60891.2024.10427868

[24] I. Agrawal, T. Sharma, and N. K. Verma, "Low-Light Image Restoration Using Dehazing-Based Inverted Illumination Map Enhancement," Applied Mathematics and Computational Intelligence, ICAMCI-2020, Springer Proceedings in Mathematics & Statistics, Tripura, India, December 23-24, 2020, pp. 135-145. DOI: 10.1007/978-981-19-8194-4_12

[25] T. Sharma, B. T. Nalla, N. K. Verma, and S. Vasikarla, "FR-HDNet: Faster RCNN based Haze Detection Network for Image Dehazing," 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, October 11-13, 2022, pp. 1-8. DOI: 10.1109/AIPR57179.2022.10092202

[26] T. Sharma, T. Shah, N. K. Verma, and S. Vasikarla, "A Review on Image Dehazing Algorithms for Vision based Applications in Outdoor Environment," 2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, October 13-15, 2020, pp. 1-13. DOI: 10.1109/AIPR50011.2020.9425261

[27] T. Sharma, I. Agrawal, and N. K. Verma, "Transmission Map Estimation Function to Prevent Over-Saturation in Single Image Dehazing," International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR 2019), Jaipur, India, December 7-8, 2019, pp. 144-152. DOI: 10.1007/978-3-030-67187-7_16

[28] T. Sharma, A. Jain, N. K. Verma, and S. Vasikarla, "Object Counting using KAZE Features Under Different Lighting Conditions for Inventory Management," 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, October 15-17, 2019, pp. 1-7. DOI: 10.1109/AIPR47015.2019.9174578

[29] T. Sharma, V. Singh, S. Sudhakaran, and N. K. Verma, "Fuzzy based Pooling in Convolutional Neural Network for Image Classification," 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA, June 23-26, 2019, pp. 1-6. DOI: 10.1109/FUZZ-IEEE.2019.8859010

[30] T. Sharma, P. Agrawal, P. Sahoo, N. K. Verma, and S. Vasikarla, "Line Segments based Rotation Invariant Descriptor for Disparate Images," 2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, October 9-11, 2018, pp. 1-8. DOI: 10.1109/AIPR.2018.8707401

[31] T. Sharma, P. Agrawal, and N. K. Verma, "Detection of Dust Deposition using Convolutional Neural Network for Heritage Images," 2017 International Conference on Computational Intelligence: Theories, Applications and Future Directions (ICCI-2017), Springer, IIT Kanpur, India, vol. II, December 6-8, 2017, pp. 347-359. DOI: 10.1007/978-981-13-1135-2_27

[32] T. Sharma, S. Rajurkar, N. Molangur, and N. K. Verma, "Multi-faced Object Recognition in an Image for Inventory Counting," 2017 International Conference on Computational Intelligence: Theories, Applications and Future Directions (ICCI-2017), Springer, IIT Kanpur, India, vol. II, December 6-8, 2017, pp. 333-346. DOI: 10.1007/978-981-13-1135-2_26

[33] A. Sinha, T. Sharma, P. Agrawal, and N. K. Verma, "Modified Transmission Map Estimation with Gradient Domain Guided Image Filtering for Single Image Dehazing," Aerospace and Defence Related Mechanisms (ARMS 2021), Pune, May 2021, pp. 567-575.

[34] A. Kumar, T. Sharma, N. K. Verma, P. Sircar, and S. Vasikarla, "Detection and Removal of Salt and Pepper Noise by Gaussian Membership Function and Guided Filter," 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, D.C., USA, October 15-17, 2019, pp. 1-9. DOI: 10.1109/AIPR47015.2019.9174579

[35] V. Singh, T. Sharma, N. K. Verma, and Y. Cui, "Feature Ranking using Robust Fuzzy Score Function for Gene Expression Data," 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA, June 23-26, 2019, pp. 1-6. DOI: 10.1109/FUZZ-IEEE.2019.8858907

[36] B. T. Nalla, T. Sharma, N. K. Verma, and S. R. Sahoo, "Image Dehazing for Object Recognition using Faster RCNN," 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 8-13, 2018, pp. 1-7. DOI: 10.1109/IJCNN.2018.8489280

[37] P. Sahoo, T. Sharma, P. Agrawal, and N. K. Verma, "Rotation Invariant Descriptor for Disparate Images using Line Segments," 2017 International Conference on Computational Intelligence: Theories, Applications and Future Directions (ICCI-2017), Springer, IIT Kanpur, India, vol. II, December 6-8, 2017, pp. 387-405. DOI: 10.1007/978-981-13-1135-2_30

[38] H. Dua, T. Sharma, P. Agrawal, and N. K. Verma, "An Efficient Algorithm for Image Haze Removal in Outdoor Environment," 2017 International Conference on Computational Intelligence: Theories, Applications and Future Directions (ICCI-2017), Springer, IIT Kanpur, India, vol. II, December 6-8, 2017, pp. 319-331. DOI: 10.1007/978-981-13-1135-2_25

[39] N. K. Verma, T. Sharma, S. Maurya, D. Singh, and A. Salour, "Real-time monitoring of machines using Open Platform Communication," 2017 IEEE International Conference on Prognostics and Health Management (ICPHM), Dallas, TX, USA, June 19-21, 2017, pp. 124-129. DOI: 10.1109/ICPHM.2017.7998316

[40] N. K. Verma, T. Sharma, R. K. Sevakula, and A. Salour, "Vision Based Object Counting Using Speeded Up Robust Features for Inventory Control," 2016 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, December 15-17, 2016, pp. 709-714. DOI: 10.1109/CSCI.2016.0139

[41] N. K. Verma, T. Sharma, S. D. Rajurkar, R. Ranjan, and A. Salour, "Vision based Counting of Texture-less Objects using Shape and Color Features," IEEE International Conference on Industrial and Information Systems (ICIIS), IIT Roorkee, India, December 3-4, 2016, pp. 253-258. DOI: 10.1109/ICIINFS.2016.8262946

[42] N. K. Verma, T. Sharma, S. D. Rajurkar, and A. Salour, "Object Identification for Inventory Management using Convolutional Neural Network," IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington DC, USA, October 18-20, 2016, pp. 1-6. DOI: 10.1109/AIPR.2016.8010578

[43] N. K. Verma, T. Sharma, S. D. Rajurkar, N. Molangur, and A. Salour, "Multifaced Object Recognition in an Image for Inventory Counting," IEEE International conference on Design and Management (IConDM), IIITDM Kancheepuram, Chennai, India, December 16-17, 2016. (Book of Abstracts)