SR University

Key Publications

Journal Paper: SCI/SCIE Indexed paper: 1. Durgesh Nandan, Jitendra Kanungo and Anurag Mahajan, “An Efficient VLSI architecture design for logarithmic multiplication by using the improved operand decomposition,” Elsevier, The integration, VLSI journal, Vol. 58, pp. 134-141, June 2017, DOI: 10.1016/j.vlsi.2017.02.003(Unpaid SCI, IF-1.345, Q3). 2. Durgesh Nandan, Jitendra Kanungo and Anurag Mahajan, “An errorless Gaussian filter for image processing by using expanded operand decomposition logarithm multiplication, ” Springer, Journal of ambient intelligence and humanized computing, DOI:10.1007/s12652-018-0933-x, 2018(Unpaid SCI, IF-4.95, Q1). 3. Mahesh Kumar, Durgesh Nandan and Sanjeev Kumar, “Statistical Analysis of Lower and Raised Pitch Voice Signal and its Efficiency Calculation,” Traitement du Signal, Vol. 36, No. 5, pp. 455-461, October 2019(Unpaid SCI, IF-2.3, Q3). 4. Prashant Srivastava, Yogesh Srivastava, Bhagat Singh, Arun kumar Pandey and Durgesh Nandan, “Investigation of Optimal Process Parameters for Laser Cutting of Inconel-718 Sheet,” Part C: Journal of Mechanical Engineering Science, 2019, https://doi.org/10.1177/0954406219895533 (Unpaid SCI, IF-2.07, Q2). 5. Durgesh Nandan, “An efficient antilogarithmic converter by using correction scheme for DSP processor”, Traitement du Signal,Vol. 37, No. 1, pp. 77-83, 2020. https://doi.org/10.18280/ts.370110 (Unpaid SCI, IF-2.3, Q3). 6. Subhransu Padhee, Durgesh Nandan,“Design of Automated Visual Inspection System for Beverage Industry Production Line” Traitement du signal, Vol. 38, No. 2, pp. 461-466, 2021. https://doi.org/10.18280/ts.380225 (Paid SCI, IF-2.3, Q3). 7. Sanjeev Kumar, Durgesh Nandan, Kunal Srivastava, Binod Kumar Kanaujia, “Dual-sense wideband circularly polarized textile MIMO antenna without decoupling structure for wireless applications”, IEEE Access, vol. 9, pp. 108601-108613, 2021, doi: 10.1109/ACCESS.2021.3101441 (Paid SCI, IF-3.476, Q1). 8. Abhishek Kumar Tripathi, Mangalpady Aruna, Shashwati Ray, N R N V Gowripathi Rao, S. Vamshi Krishna, Durgesh Nandan, “Development and Evaluation of Dust Cleaning System for a Solar PV Panel”, Journal of Engineering Research, https://10.36909/jer.ICAPIE.15067, pp. 60-71 (Unpaid SCI, I.F.-1.325, Q3). 9. Shruti Bhargava Choubey, Abhishek Choubey, Durgesh Nandan, Anurag Mahajan, “Polycystic Ovarian Syndrome Detection by using Two Stage Image Denoising” Traitement du signal, 38, 4, 2021, pp. 1217-1227, https://doi.org/10.18280/ts.380433, (Paid SCI, IF-2.3, Q3). 10. Yogesh Shrivastava, Eram Neha, Bhagat Singh, Prashant Kumar Shrivastava, Durgesh Nandan, “Analysis of regenerative raw signals using variational mode decomposition” Traitement du signal, Vol. 39, No. 1, pp. 299-304. https://doi.org/10.18280/ts.390131(Paid SCI, IF-2.3, Q3). 11. Durgesh Nandan, Mahesh Kumar Singh, Sanjeev Kumar, Harendra Kumar Yadav, “Speaker identification based on physical variation of speech signal” Traitement du signal, Vol. 39, No. 2, pp. 711-716. https://doi.org/10.18280/ts.390235(Paid SCI, IF-2.3, Q3). 12. Yogesh Shrivastava, Prashant Kumar Shrivastava, Durgesh Nandan, “Signal processing algorithms like ensemble empirical mode decomposition and statistical analysis-based tool chatter severity prediction” Traitement du Signal, Vol. 39, No. 4, pp. 1221-1227. https://doi.org/10.18280/ts.390414(Unpaid SCI, IF-2.3, Q3). 13. Mahesh K. Singh, Sanjeev Kumar, Durgesh Nandan, “Faulty Voice Diagnosis of Automotive Gearbox Based on Acoustic Feature Extraction and Classification Technique”, Journal of Engineering Research,2023, Vol. 11, Issue. 2, https://doi.org/10.1016/j.jer.2023.100051, (Unpaid SCI, IF-1.2, Q3). 14. Pawan Dubey, Tirupathi Raju Kanumuri, Ritesh Vyas, K.V.S.R. Murthy, Chandan Kumar Choubey, Durgesh Nandan, “Palmprint Representation through Combined Diﬀerential Concavity and Inﬁrmity Codes”, Traitement du Signal, 2023, Vol. 40 (4), pp. 1739-1745, (Paid SCI, IF-1.9, Q3). 15. Chander Prabha, Sukhwinder Kaur, Meena Malik, Mueen Uddin, Durgesh Nandan “A Cutting-Edge Feature Extraction Approach for Speaker Recognition Leveraging Optimized Variance Spectral Flux and Daubechies Wavelet”, Traitement du Signal, 2023, Vol 40 (6), pp.2845-2852 (Paid SCI, IF-1.9, Q3). 16. Tripathi, A.K., Aruna, M., Parida, S. Nandan, D.et al. Integrated smart dust monitoring and prediction system for surface mine sites using IoT and machine learning techniques. Sci Rep 14, 7587 (2024). https://doi.org/10.1038/s41598-024-58021-x (Paid SCI, I.F. 4, Q1) 17. Dhamale, T.D., Bhandari, S.U., Harpale, V.K., Nandan, D. (2024). Autism spectrum disorder detection using parallel deep convolution neural network and generative adversarial networks. Traitement du Signal, Vol. 41, No. 2, pp. 643-652. https://doi.org/10.18280/ts.410208 (Paid SCI, IF-1.9, Q3). 18. Mahesh K. Singh, Durgesh Nandan, Sanjeev Kumar, “Duplicate image detection using deep learning modified SVM and KNN classification method for multimedia application” Soft Comput (2024). https://doi.org/10.1007/s00500-024-09756-2 (Unpaid SCI, Q2). 19. Meena Malik, Durgesh Nandan, Chander Prabha, Mueen Uddin, Biswaranjan Acharya, Yu-Chen Hu, “A Bio-Inspired Metaheuristic Approach for Cloud Task Scheduling Using Lateral Hyena based particle swarm optimization”, Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19559-0 (Unpaid SCI, Q1). 20. Mahesh K. Singh, Durgesh Nandan, Sanjeev Kumar, “Identification of Face Based on Biometric Features by using Soft Computation Methods” Vol. 41, No. 5, pp. 2721-2728. https://doi.org/10.18280/ts.410545 (Paid SCI, Q3). 21. Sunil Dalal, Jyoti Prakash Singh, Arvind Kumar Tiwari, Durgesh Nandan “An Automated Computed Tomography Scan Analysis Framework for COVID-19 Detection Using Machine Learning” Traitement du Signal, Vol. 41, No. 4, pp. 1707-1726. https://doi.org/10.18280/ts.410406, (Paid SCI, Q3). 22. Chandan Kumar Choubey, Manoj Kumar Tiwari, Aruna Pathak, Durgesh Nandan, “Voltage Conveyor Transconductance Amplifier (VCTA): A Novel Analog Building Block for Advanced Analog Signal Processing Applications’’ Circuits Syst Signal Process 45, 299–321 (2026). https://doi.org/10.1007/s00034-025-03265-9 (Unpaid SCI, Q3). 23. Mohanty, B., Majumdar, A., Nandan, D. et al. Guest Editorial: Low Power Computing: Devices, Circuits & Systems for Signal Processing. Circuits Syst Signal Process 45, 1–8 (2026). https://doi.org/10.1007/s00034-025-03434-w 24. Henge, S.K., Mehta, D., Chintala, S., Nandan, D. et al. Quantum Kernel Layered Inception ResNet-Based Optimization Techniques for Early Detection of Diabetic Retinopathy and Liver Disease. Arch Computat Methods Eng (2026). https://doi.org/10.1007/s11831-026-10562-2 (Unpaid SCI, Q1, Top 1%). 25. A., D., Henge, S.K., Chintala, S., Nandan, D. et al. Analytical Survey: Early Detection of Kidney Tumor Consequences and Auto Decision Making Through Tomography Images Using Rule-Based Systems Augmenting Deep Learning. Arch Computat Methods Eng (2026). https://doi.org/10.1007/s11831-026-10597-5 (Unpaid SCI, Q1, Top 1%). 26. Singh, M.K., Kumar, S., Ranjan, R., Nandan, D. et al. Speaker recognition under whispered and object-in-mouth voice disguise method using hybrid feature extraction and machine learning technique. J. Adv. Signal Process. (2026). https://doi.org/10.1186/s13634-026-01355-7 27. Khan, M., Kumar, R., Sandhu, R., Nandan, D. et al. Predictive AI modeling of brain tumor MRI based on hybrid nonlinear fuzzy regression. Sci Rep (2026). https://doi.org/10.1038/s41598-026-66338-y 28. Gouthami, K., Chintala, S., Henge, S.K. et al. Dense Channel Spatial Semantic Guidance Attention U-Net for robust road lane detection in autonomous vehicles. Discov Computing 29, 753 (2026). https://doi.org/10.1007/s10791-026-10689-7 29. Kumar, S., Nandan, D. & Kumar, S. ExplainableCropAI: Interpretable Deep Learning for Agricultural Disease Diagnosis and Decision Support. Int J Comput Intell Syst (2026). https://doi.org/10.1007/s44196-026-01654-9 Scopus Indexed paper: 30. Sanjeev Kumar, Ravi Kumar and Durgesh Nandan, “Circular Slotted Antenna with CPW feed for GSM and UWB Applications”, International Journal of Sensors, Wireless Communications and Control, Vol. 11, No. 2, pp. 160-168, 2021. DOI: 10.2174/2210327910666200123101812 31. Sanjeev Kumar, Durgesh Nandan, Mahesh Kumar Singh and Ravi Kumar “A Multiple Band-Notched Monopole Antenna with Incorporated GSM and UWB for Wireless Applications,” International Journal of Advanced Science and Technology (IJAST), Vol-28, No.-16, pp. 362-378, November 2019. 32. Sanjeev Kumar, Durgesh Nandan, Amit Shivhare and Ravi Kumar “A Multiple L-Shaped Slot Loaded Antenna with Multiband Circularly Polarized for WLAN and WiMAX Applications,” International Journal of Engineering and Advanced Technology (IJEAT), Volume-8 Issue-6S, pp. 965-969, August 2019. 33. Kaushal Kumar, Durgesh Nandan, Ritesh Kumar Mishra, “Compact hardware of running gaussian average algorithm for moving object detection realized on FPGA and ASIC”. Revue d'Intelligence Artificielle, Vol. 33, No. 4, pp. 305-311. October 2019. 34. E. Jagadeeswara Rao, Durgesh Nandan, R.V. Vijaya Krishna and K. Jayaram Kumar, “A Systematic journal of Multipliers Accuracy and Performance Analysis,” International Journal of Engineering and Advanced Technology (IJEAT), Volume-8 Issue-6S, pp. 965-969, August 2019. 35. D.S.V. Suma Priya, D. Esther Rani, A. Pavan Shankar Sai, A. Konda Babu, Durgesh Nandan, “Review on importance of Machine Learning and Artificial Intelligence in real life problem solving” Journal of Computational and Theoretical Nanoscience, Vol. 17, No. 9/10, pp. 4336–4339, 2020. 36. R. Rohini, N. V. Satya Narayana and Durgesh Nandan “A crystal view on design of FIR filter” Journal of Computational and Theoretical Nanoscience, Vol. 17, No. 9/10, pp. 4235–4238, 2020.
37. G. Devananda Kumar, Vidheya Raju and Durgesh Nandan “A review on smart irrigation system” Journal of Computational and Theoretical Nanoscience, Vol. 17, No. 9/10, pp. 4239–4243, 2020. 38. Padala Neeraja and Durgesh Nandan “Smart home by using IOT system: A succinct study” Journal of Computational and Theoretical Nanoscience, Vol. 17, No. 9/10, pp. 4207–4212,2020. 39. Durgesh Nandan, Mahajan, A. and Kanungo, J., “An efficient architecture of Iterative Logarithmic Multiplier,”International journal of engineering & technology (UAE). Vol. 7 (2.16), pp. 24-28, 2018(Scopus). 40. Durgesh Nandan, Anurag Mahajan, Jitendra Kanungo,“An efficient VLSI architecture design of antilogarithm converter with 10-regions error correction scheme”, Mathematical modelling of engineering problem, Vol. 8, No. 2, pp. 213-218. https://doi.org/10.18280/mmep.080207. 41. Ram Kishun Lodhi, Bharat Raj Jaiswal, Durgesh Nandan, Katta Ramesh, “Numerical Solution of Two–Parameter Singularly Perturbed Convection-Diffusion Boundary Value Problems via Fourth Order Compact Finite Difference Method” Mathematical modelling of engineering problem, Vol.8 (5), 2021, pp. 819-825, https://doi.org/10.18280/mmep.080519. 42. N. Sai shanmukha Akshath, A. Naresh, M. Nikesh kumar, Mayur Barman, Durgesh Nandan, T.Abhilash, “Analysis and Simulation of Even-level Quasi Z-source Inverter”, IJECE, Vol. 12 (4), pp. August 2022, DOI: http://doi.org/10.11591/ijece.v12i4.pp%25p 43. Abhishek Tripathi, J. Pavan, Mangalpady Aruna, and Durgesh Nandan, “Investigation of solar radiation impact on the surface temperature and performance of photovoltaic panel”,Journal of Mines, Metals, & Fuels (Accepted). 44. Abhishek Tripathi, Jannela Yernaidu, and Durgesh Nandan, “An optimization of shovel dumper combination system in a surface mines project”, Journal of Mines, Metals, & Fuels (Accepted). 45. Bala Srinivas Peteti, Durgesh Nandan, “Heart disease Classification/Prediction: A Review”Revue d'Intelligence Artificielle, Vol. 37, No. 2, pp. 347-377. https://doi.org/10.18280/ria.370213. 46. Ayushi Jain, Durgesh Nandan, Pramoda Maduri,“Data Export and Optimization Technique in Connected Vechicle”Ingenierie des Systemes D’Information, Vol 28, Isuue 2, pp 517-525. 47. Amrita Rai, Krishanu Kundu, Rahul Dev, Seema Nayak, J.P. Keshri, Durgesh Nandan “Special Vehicle like Ambulance Recognition and Security System using Mobility Accredit System”Revue d’Intelligence Artificielle Vol. 37, No. 2, pp. 509-515. https://doi.org/10.18280/ria.370228. 48. Atif Faridi, Farheen Siddiqui, Durgesh Nandan, Md Tabrez Nafis, Mohd Abdul Ahad, “Dynamic adaptation of activation function to fine tune Video Resnet for Fight or Non-Fight classification”, Revue d’Intelligence Artificielle Vol. 37, No. 5, pp.1221-1228. https://doi.org/10.18280/ria.370514. 49. Afshan Hashmi, Md Tabrez Nafis, Sameena Naaz, Durgesh Nandan, Imran Hussain, “Predictive Modelling of Glycated Hemoglobin Levels Using Machine Learning Regressors”Ingénierie des Systèmes d’Information, Vol. 28, No. 6, pp. 1505-1513. 50. Prabhat Thakur, Alok Kumar, Durgesh Nandan, Ghanshyam Singh, Spectrum Monitoring Techniques for Spectrum Mobility in Next Generation Connected Environments: A Technical Review, ISI, 29 (3), 987-1003. 51. Chaudhary, S., Nehra, R., Kumar, K., Dahiya, S., Nandan, D., Kumar, S. (2024). Dementia Alzheimer's disease diagnosis using convolutional neural networks on two-dimensional MRI slices. Revue d'Intelligence Artificielle, Vol. 38, No. 1, pp. 81-91. https://doi.org/10.18280/ria.380109 52. Jain Shaily , Prabha Chander , Durgesh Nandan, Bhosale Snehal, “Comparative analysis of frequently used e-learning platforms” Frontiers in Education, Vol. 7, 2024, DOI=10.3389/feduc.2024.1431531 53. Soni, G., Chandravanshi, K., Kaurav, A.S., Saxena, A., Nandan, D., Mahajan, A. (2024). Behavioural analysis of hatchetman attacker for detection & prevention in low power and lossy IoT network. Instrumentation Mesure Métrologie, Vol. 23, No. 5, pp. 391-402. https://doi.org/10.18280/i2m.230507 54. Vishwas Deep Joshi, Priya Agarwal, Ajay Kumar, Namrata Dogra, Durgesh Nandan, “Urban Odyssey: “Pioneering multimodal routes for Tomorrow's smart cities”, Measurement: Sensors, Volume 36, 2024, 101301, https://doi.org/10.1016/j.measen.2024.101301. 55. Kulshrestha, R., Ramani, P., Thakur, P., Kumar, A., Dogra, N., Murthy, K.V.S.R., Nandan, D. (2024). An energy-efficient clustering approach for wireless sensor networks to reduce hot-spot effect and idle listening energy consumption. Mathematical Modelling of Engineering Problems, Vol. 11, No. 7, pp. 1729-1742. https://doi.org/10.18280/mmep.110704 56. Kale, V.V., Shah, P., Sekhar, R., Sonawane, C.R., Pandey, A., Nandan, D. (2024). Combining local binary pattern with stationary wavelet transform for multiclass classification of brain disorders. Journal Européen des Systèmes Automatisés, Vol. 57, No. 6, pp. 1785-1794. https://doi.org/10.18280/jesa.570626 57. Bagate, B.A., Joshi, A.S., Kadam, A., Choubey, C.K., Sable, N., Kumar, A., Dogra, N., Nandan, D. (2025). Sarcasm detection an explainable AI approach for reddit political text. Mathematical Modelling of Engineering Problems, Vol. 12, No. 1, pp. 219-226. https://doi.org/10.18280/mmep.120123 58. Bhandari, R., Jain, A.K., Kaur, G., Malik, M., Nandan, D., Suthar, O.P., Lodhi, R.K. (2025). Face mask recognition in a street camera video stream by using double CNN with adaptive particle swarm optimization. Ingénierie des Systèmes d’Information, Vol. 30, No. 2, pp. 449-456. https://doi.org/10.18280/isi.300216 59. Mishra, A.R., Rai, A., Nandan, D., Kshirsagar, U., Singh, M.K. (2025). Unveiling emotions: NLP-based mood classification and well-being tracking for enhanced mental health awareness. Mathematical Modelling of Engineering Problems, Vol. 12, No. 2, pp. 647-656. https://doi.org/10.18280/mmep.120228 60. Thaseen, A., Martha, S., Nandan, D. (2025). Feature dimensionality reduction for lung tumor classification using transformer deep learning and YOLO model. Ingénierie des Systèmes d’Information, Vol. 30, No. 6, pp. 1425-1435. https://doi.org/10.18280/isi.300602 61. Kishore Dannina, Durgesh Nandan, K Meenakshi and Anurag Mahajan, “A multi-class SVM based CBIR system using Forest Optimization algorithm and Firefly algorithm”, Engineering Research Express, Volume 7, Number 3, PP. 1-14, DOI 10.1088/2631-8695/adf1d7 62. Imran Ahmed Khan, Owais Ahmad Shah, Durgesh Nandan, Amrita Rai and Anurag Mahajan, “Power Efficient Counter Design using CNTFET with AI Integration”, Recent Advances in Electrical & Electronic Engineering, Volume 18, Issue 10, Dec 2025, p. 2069 – 2082, DOI: https://doi.org/10.2174/0123520965358804241209095031 63. Preeti Sharma, Meenakshi Malik, Chander Prabha, Durgesh Nandan, Snehal Bhosale, Anurag Mahajan, MOR Framework: IoT-Driven Dynamic Decision- Making for Fleet Optimization and Maintenance Prioritization, Recent Patents on Engineering, pp. 1-13. 64. Kumar, S., Kumar, S. & Nandan, D. Yolo driven computer vision framework for paddy disease. Discov Artif Intell (2026). https://doi.org/10.1007/s44163-026-00945-6 65. Saeed, M.M., Nandan, D. & Donkoh, E. Aligning Rural and Community Banks with the Sustainable Development Goals: Implications for Public Governance. Public Organiz Rev (2026). https://doi.org/10.1007/s11115-026-01038-9 66. Singh, R., Prabha, C., Gupta, N., Nandan, D., et al. A 3D residual U-Net with attention-driven spatial pyramid pooling for accurate multimodal MRI brain tumor segmentation. Discov Artif Intell 6, 1156 (2026). https://doi.org/10.1007/s44163-026-01655-9 67. Saeed, M.M., Nandan, D. The Role of Rural Banks in Public Sector–Led Economic Development: Credit Access, SME Performance, and Sustainable Development in Ghana. Public Organiz Rev (2026). https://doi.org/10.1007/s11115-026-01036-x 68. Singh, M.K., Kumar, S., Ranjan, R. and Nandan, D., Isolated and continuous speech recognition using MFCC feature extraction and classification technique for multimedia application. Multimed Tools Appl 85, 617 (2026). https://doi.org/10.1007/s11042-026-21793-7 69. S. Gautam, K. Bajaj, S. Jain, Nandan, D. et al., “Enhancing Diaspora Scientist Identification Through SMOTE-Driven Machine Learning and Transformer-Based Hybrid Models on Multi-Institution Dataset,” Engineering Reports 8, no. 6 (2026): e70870, https://doi.org/10.1002/eng2.70870. 70. Rajeev Ranjan, Durgesh Nandan, Mahesh K. Singh, Sanjeev Kumar, Karna Vishnu Vardhana Reddy, Venkata Lalitha Narla, Deepak Kumar Jain, “A novel local optimal oriented pattern for image splicing detection leveraging deep learning and SVM”, Franklin Open, Volume 16, 2026, 100634, 10.1016/j.fraope.2026.100634. 71. Mahesh K. Singh, Rajeev Ranjan, Durgesh Nandan, Sanjeev Kumar, Venkata Lalitha Narla, Gulivindala Suresh, “Feature extraction and classification technique based speaker identification system of Indian regional accent, Franklin Open, Volume 16, 2026, 100623. 72. KN Mahalakshmi, D Nandan, S Parihar, Region-adaptive multimodal learning with morphology-guided feature modulation for brain tumor segmentation, Discover Artificial Intelligence 6 (1), 1350 73. M Kumar, M Sethi, C Prabha, S Hudnurkar, D Nandan, FDDDA: False data detection and data aggregation protocol in wireless sensor networks, Review of Computer Engineering Research 13 (4), 29-48 74. Saeed, M.M., Nandan, D. & Donkoh, E. Aligning Rural and Community Banks with the Sustainable Development Goals: Implications for Public Governance. Public Organiz Rev (2026). https://doi.org/10.1007/s11115-026-01038-9 75. Rani, A., Nandan, D. Wear Characterization and Predictive Modeling of EN42 Steel for Enhanced Tillage Disc Performance. J. Inst. Eng. India Ser. A 107, 779–794 (2026). https://doi.org/10.1007/s40030-026-00986-1 76. S. Gautam, K. Bajaj, S. Jain, et al., “ Enhancing Diaspora Scientist Identification Through SMOTE-Driven Machine Learning and Transformer-Based Hybrid Models on Multi-Institution Dat

Dr. Durgesh Nandan

Research Areas

Student Supervision

Key Publications