9
Journal Articles
13
Conference Papers
3
Patents
1
Technical Report

Journal Publications

  1. S. Nalband, M. Gupta, S. Kansale, T. Hazra, F. Robert, and A. A. Prince, "Explainable deep autoencoding of vibroarthrographic time-frequency distributions for robust knee disorder detection", Biomedical Signal Processing and Control, Vol: 118, p. 109781 2026
  2. S. Nalband, P. Kiratkar, M. Gupta, M. Gambhir, S. Sonam, F. Robert, and A. A. Prince, "Ensemble techniques for predictive modeling of leishmanial activity via molecular fingerprints", BMC Medical Informatics and Decision Making, Vol: 25(1), p. 378 2025
    doi: 10.1186/s12911-025-02870-2
  3. A. Patil, A. Mehto, and S. Nalband, "Enhancing skin lesion diagnosis with data augmentation techniques: a review of the state-of-the-art", Multimedia Tools and Applications, Vol: 84(22), Pages: 25325-25364 2025
    doi: 10.1007/s11042-024-20145-7
  4. R. Mittal, A. A. Prince, S. Nalband, F. Robert, and J. Fredo, "Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms", Biomedical Signal Processing and Control, Vol: 69, p. 102927 2021
    doi: 10.1016/j.bspc.2021.102927
  5. R. Mittal, A. A. Prince, S. Nalband, F. Robert, and J. Fredo, "Low-power hardware accelerator for detrending measured biopotential data", IEEE Transactions on Instrumentation and Measurement, Vol: 70, Pages: 1-9 2020
    doi: 10.1109/TIM.2020.3011334
  6. S. Nalband, C. A. Valliappan, A. A. Prince, and A. Agrawal, "Time-frequency based feature extraction for the analysis of vibroarthographic signals", Computers & Electrical Engineering, Vol: 69, Pages: 720-731 2018
    doi: 10.1016/j.compeleceng.2018.02.046
  7. S. Nalband, A. A. Prince, and A. Agrawal, "An entropy based feature extraction and classification of vibroarthographic signal using improved complete ensemble empirical mode decomposition with adaptive noise", IET Science, Measurement & Technology, Vol: 12(3), Pages: 350-359 2018
    doi: 10.1049/iet-smt.2017.0284
  8. S. Nalband, A. Sundar, A. A. Prince, and A. Agrawal, "Feature selection and classification methodology for the detection of knee-joint disorders", Computer Methods and Programs in Biomedicine, Vol: 127, Pages: 94-104 2016
    doi: 10.1016/j.cmpb.2016.01.020
  9. S. Nalband, R. R. Sreekrishna, and A. A. Prince, "Analysis of knee joint vibration signals using ensemble empirical mode decomposition", Procedia Computer Science, Vol: 89, Pages: 820-827 2016
    doi: 10.1016/j.procs.2016.06.067

Conference Publications

  1. Pujita, S. Khosla, and S. Nalband, "Architectural design and performance analysis of a CUDA-accelerated framework for collective flocking simulation", 32nd IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) Student Research Symposium 2025
  2. G. Singh, P. Agrawal, N. Sharma, A. Chaurasiya, A. Aswal, and S. Nalband, "Architecting scalable paradigms for Johnson's algorithm: harnessing multi-core and GPU acceleration", 5th International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC-2025) 2025
  3. J. A. Kapoor, M. Mittal, A. Mehto, T. Hazra, and S. Nalband, "Explainable threshold-optimized ensemble learning for actionable infant mortality risk prediction", 1st IEEE International Conference on Recent Trends in Computing and Smart Mobility (RCSM 2025) 2025
  4. A. Mehto, A. Garg, C. Rana, R. Garg, V. Sherawat, P. Singh, V. Raj Singh, P. Masson, B. Singh, and S. Nalband, "Study Buddy: a virtual reality-based interactive learning application for kindergarten students", 7th International Conference on Soft Computing and Its Engineering Applications (icSoftComp 2025) 2025
  5. M. Gupta, Anirudh, and S. Nalband, "Data-driven visual chart predictions with machine learning", 2nd International Symposium on Artificial Intelligence (ISAI) 2025
  6. Navpreet, R. K. Roul, and S. Nalband, "An ensembled parking space classifier across diverse weather conditions", International Conference on Distributed Computing and Intelligent Technology, pp. 240-256, Springer Nature Switzerland 2024
  7. R. K. Roul and S. Nalband, "Multi-document summarization by ensembling of scoring and topic modeling techniques", 21st International Conference on Natural Language Processing (ICON), pp. 588-592 2024
  8. R. K. Roul, Navpreet, and S. Nalband, "Unified scoring and topic modeling: a combined approach for superior multi document summarization", 17th SoCTA (Soft Computing: Theories and Applications) 2024
  9. R. K. Roul, Navpreet, and S. Nalband, "Innovating multi-document summarization through strategic fusion", International Conference on Signal and Data Processing (ICSDP) 2024
  10. E. Mascarenhas, S. Nalband, A. R. J. Fredo, and A. A. Prince, "Analysis and classification of vibroarthrographic signals using tuneable 'Q' wavelet transform", 7th International Conference on Signal Processing and Integrated Networks (SPIN), pp. 65-70 2020
    doi: 10.1109/SPIN48934.2020.9071335
  11. S. A. Raurale, S. Nalband, G. B. Boylan, G. Lightbody, and J. M. O'Toole, "Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG", 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4125-4128 2019
    doi: 10.1109/EMBC.2019.8857000
  12. S. Nalband, C. A. Valliappan, R. G. A. A. Prince, and A. Agrawal, "Feature extraction and classification of knee joint disorders using Hilbert Huang transform", 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 266-269 2017
    doi: 10.1109/ECTICon.2017.8096224
  13. R. R. Sreekrishna, S. Nalband, and A. A. Prince, "Real time cascaded moving average filter for detrending of electroencephalogram signals", 2016 International Conference on Communication and Signal Processing (ICCSP), pp. 0745-0750 2016
    doi: 10.1109/ICCSP.2016.7754244

Patents

  1. Paperless Notarization and Verification Platform Using Blockchain Technology April 2024
  2. Vehicle to Vehicle Communication System for Road Safety July 2025
  3. Lokniti AI - AI-Driven Legal Assistance for Commercial Courts

Technical Reports

  1. S. N. Omkar, D. R. Mahapatra, A. M. Vanjare, K. P. Kulkarni, and S. Nalband, "Methodology for assessing and quantifying stability of humans while standing and during gait on stable and unstable platform", Dept. Aerospace Engineering, Indian Institute of Science, Bangalore, Rep. No. AE/ISTC/SNO/11/227/02 2011