Conference Papers

In IEEE Conferences – 56 papers (Available online via IEEEXplore)

In Springer Conferences – 4 paper (Available online via SpringerLink)

In Trans-Tech Conferences – 3 papers (Available online via Scientific.Net)

In IET Conferences – 1 paper (Available online via IET Digital Library)

In Elsevier Conferences – 1 paper (Available online via Sciencedirect)

1. M. Lyons, S. Das, and K. Shanks, "Microscopy Image Analysis of Butterfly Wing and Moth Eyes using Statistical Feature Learning". In 2025 Eighth International Women in Data Science Conference at Prince Sultan University (WiDS PSU), pp. 1-8, Apr. 2025, Riyadh, doi: https://doi.org/10.1109/WiDS-PSU64963.2025.00035.

2. A. Homoud, S. Das, and S. Townley, "Challenges in Underwater Video Data Processing". In 2025 Eighth International Women in Data Science Conference at Prince Sultan University (WiDS PSU), pp. 1-6, Apr. 2025, Riyadh, doi: https://doi.org/10.1109/WiDS-PSU64963.2025.00034.

3. C. Sinclair and S. Das, "Comparison of Bayesian and Frequentist Neural Networks on Air Quality Time-Series Problems", In International Congress on Information and Communication Technology (ICICT 2025), Lecture Notes in Networks and Systems, vol. 1412, pp. 523-536, Springer, Singapore, Feb. 2025, doi: https://doi.org/10.1007/978-981-96-6429-0_42.

4. S. Dong, S. Das, A. Thornton, and S. Townley, "Control System Autonomy Improvement: An Attempt to Introduce Meta-Heuristic Algorithms into Closed-loop UAV Control Systems", In 2024 18th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 454-459, Dec. 2024, Dubai, doi: https://doi.org/10.1109/ICARCV63323.2024.10821665.

5. S. Al Garea, S. Das, and M. Callaway, "Clustering Based Flood Area Segmentation Benchmarking in Different Colour Spaces", In 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), pp. 337-343, Nov. 2024, Sydney, doi: https://doi.org/10.1109/FMLDS63805.2024.00067.

6. A. Homoud, S. Das, and S. Townley, "Challenges in Underwater Object Detection and Video Segmentation Using Deep Learning", In 2024 First International Conference for Women in Computing (InCoWoCo), Nov. 2024, Pune, doi: https://doi.org/10.1109/InCoWoCo64194.2024.10863165. 

7. A. Al Hayzea, S. Das, and S. Townley, "Hybrid predictor-corrector numerical schemes: λ-tracking, sampled-data observers and data assimilation", IFAC-PapersOnLine (Elsevier), vol. 58, no. 17, pp.190-195, Oct. 2024, Cambridge, doi: https://doi.org/10.1016/j.ifacol.2024.10.155.

8. K.Y. Chow and S. Das, "Reinforcement Learning for PV-Integrated Battery Storage Energy Management System: Case Study of Chemical Manufacturing Plant in Malaysia", In International Conference on Data Analytics and Insights, Lecture Notes in Networks and Systems, vol. 1234, pp. 193-206, Springer, Singapore, Jul. 2024, doi: https://doi.org/10.1007/978-981-96-2329-7_16. 

9. M. Ali, S. Das, and S. Townley, "Comparison of Optimizing Path Planning for Mobile Robots with Obstacle Avoidance". In 2024 Seventh International Women in Data Science Conference at Prince Sultan University (WiDS PSU), pp. 168-175, Mar. 2024, Riyadh, doi: https://doi.org/10.1109/WiDS-PSU61003.2024.00044.  

10. S. Al Garea, and S. Das, "Image Segmentation Methods: Overview, Challenges, and Future Directions". In 2024 Seventh International Women in Data Science Conference at Prince Sultan University (WiDS PSU), pp. 56-61, Mar. 2024, Riyadh, doi: https://doi.org/10.1109/WiDS-PSU61003.2024.00026.

11. S. Das, S. Al Garea, and M.D. Choudhury, "Voltage Induced Fluid Mixing Video Data based Volumetric Ratio Modelling using Fractional Order Time Series Methods". In 2024 Seventh International Women in Data Science Conference at Prince Sultan University (WiDS PSU), pp. 4-9, Mar. 2024, Riyadh, doi: https://doi.org/10.1109/WiDS-PSU61003.2024.00016.

12. A. Alzimami, S. Das, and M. Mueller, "Bayesian optimization-based hyper-parameter-tuned neural network regression for smart home energy consumption modelling using weather information". In International Congress on Information and Communication Technology (ICICT 2024), Lecture Notes in Networks and Systems, vol. 1055, pp. 495-510, Springer, Singapore, Feb. 2024, doi: https://doi.org/10.1007/978-981-97-5441-0_41.

13. L. Alyami and S. Das, "The Role of Kalman Gain and Noise Covariance Selection on the Convergence in State Estimation", In 2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), Dec. 2023, Kolkata, doi: https://doi.org/10.1109/IEMENTech60402.2023.10423507.

14. M. Ali and S. Das, "Motion of Mobile Robots in Environments with Dynamic Obstacles and Arbitrary Directions". In 2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), Dec. 2023, Kolkata, doi: https://doi.org/10.1109/IEMENTech60402.2023.10423495.

15. E. Thiruppandiaraj and S. Das, "Remote Sensing Single Image Super-Resolution Benchmarking with Transfer Learning Algorithms". In 2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), Kolkata, Dec. 2023, doi: https://doi.org/10.1109/IEMENTech60402.2023.10423556.

16. E. Udoha, S. Das and M. Abusara, "A power management system for interconnected AC islanded microgrids using back-to-back converter", Renewable Power Generation and Future Power Systems Conference 2023 (RPG 2023 UK) (IET Conference Proceedings), Nov. 2023, p. 177–183, Glasgow, doi: https://doi.org/10.1049/icp.2023.3234  

17. S. Dong, S. Das, S. Townley and A. Thornton, "Swarm Intelligence Based Drone Flocking Model". 2023 28th International Conference on Automation and Computing (ICAC), Aug. 2023, Birmingham, doi: https://doi.org/10.1109/ICAC57885.2023.10275209.

18. M. Ali and S. Das, "Mobile Robots with Dynamic Obstacle Avoidance", 2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET), Aug. 2023, Bhubaneswar, doi: https://doi.org/10.1109/SeFeT57834.2023.10245465.

19. A. Mondal and S. Das, "Parametric Time-series Modelling of London Smart Meter Data for Short-term Demand Forecasting", 2023 IEEE 3rd International Conference on Sustainable Energy and Future Electric Transportation (SEFET), Aug. 2023, Bhubaneswar, doi: https://doi.org/10.1109/SeFeT57834.2023.10245994.

20. S. Das and K. Maharatna, "Impulsive Control as a Novel Defibrillator Algorithm Using Coupled Van der Pol Oscillators", In International Conference on Data Analytics and Insights (ICDAI 2023), Lecture Notes in Networks and Systems, vol. 727, pp. 731-742, May. 2023, Springer, Singapore, doi: https://doi.org/10.1007/978-981-99-3878-0_62.

21. M. Ali and S. Das, "Swarms of Mobile Robots for Area Exploration", 2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU), Mar. 2023, Riyadh, doi: https://doi.org/10.1109/WiDS-PSU57071.2023.00038.

22. L. Alyami and S. Das, "Extended Skew Kalman Filters for COVID-19 Pandemic State Estimation", 2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU), Mar. 2023, Riyadh, doi: https://doi.org/10.1109/WiDS-PSU57071.2023.00042.

23. L. Alyami and S. Das, "Properties and Future of the Skew Kalman Filters", 2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU), Mar. 2023, Riyadh, doi: https://doi.org/10.1109/WiDS-PSU57071.2023.00024.

24. S. Das and A. Alzimami, "Bayesian Optimization based Hyperparameter Tuning of Ensemble Regression Models in Smart City Air Quality Monitoring Data Analytics", 2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC), Jan. 2023, Jeddah, doi: https://doi.org/10.1109/ICAISC56366.2023.10085504.

25. L. Alyami, and S. Das, "State Estimation of the Spread of COVID-19 in Saudi Arabia using Extended Kalman Filter", 2022 Sensor Signal Processing for Defence Conference (SSPD), Sep. 2022, London, doi: https://doi.org/10.1109/SSPD54131.2022.9896194.

26. D.K. Panda and S. Das, "Robust Bayesian Regression Model of Centrality and Voltage Stability Index for Power Networks under Nodal Attack", 3rd 2021 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE), Mar. 2021, Moscow, doi: https://doi.org/10.1109/REEPE51337.2021.9388045.

27. C. Sinclair and S. Das, "Traffic Accidents Analytics in UK Urban Areas using k-means Clustering for Geospatial Mapping", International Conference on Sustainable Energy and Future Electric transportation (SEFET) 2021, Jan. 2021, Hyderabad, doi: doi.org/10.1109/SeFet48154.2021.9375817.

28. S. Ghosh, D.K. Panda, S. Das, and D. Chatterjee, "Cross-Correlation Based Classification of Electrical Appliances for Non-Intrusive Load Monitoring", International Conference on Sustainable Energy and Future Electric transportation (SEFET) 2021, Jan. 2021, Hyderabad, doi: doi.org/10.1109/SeFet48154.2021.9375687.

29. D.K. Panda and S. Das, "Regression analysis of grid stability under decentralized control", 2019 International Conference on Engineering, Science, and Industrial Applications (ICESI), Aug. 2019, Tokyo, doi: https://doi.org/10.1109/ICESI.2019.8863027. 

30. N. Vemishetty, A. Acharyya, S. Das, S. Ayyagari, S. Jana, K. Maharatna, P.E. Puddu, "Classification methodology of CVD with localized feature analysis using Phase Space Reconstruction targeting personalized remote health monitoring",  Computing in Cardiology Conference (CinC), Sep. 2016, Vancouver, Canada, URL: http://ieeexplore.ieee.org/document/7868773/. 

31. V. Bono, D. Biswas, S. Das, and K. Maharatna, “Classifying human emotional states using wireless EEG based ERP and functional connectivity measures”, 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp. 200-203, Las Vegas, Feb. 2016, doi: http://dx.doi.org/10.1109/BHI.2016.7455869.

32. V. Bono, W. Jamal, S. Das, and K. Maharatna, “Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques”, Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, pp. 5864-5868, May 2014, Florence, doi: http://dx.doi.org/10.1109/ICASSP.2014.6854728.

33. S. Das, S. Das, and K. Maharatna, “Control strategy for anaesthetic drug dosage with interaction among human physiological organs using optimal fractional order PID controller”, Control, Instrumentation, Energy and Communication (CIEC), International Conference on, pp. 66-70, Feb. 2014, Kolkata, doi: http://dx.doi.org/10.1109/CIEC.2014.6959051.

34. S. Das and K. Halder, “Missile attitude control via a hybrid LQG-LTR-LQI control scheme with optimum weight selection”, Automation, Control, Energy and Systems (ACES), 2014 First International Conference on, Feb. 2014, Kolkata, doi: http://dx.doi.org/10.1109/ACES.2014.6807996.

35. W. Jamal, S. Das, K. Maharatna, D. Kuyucu, F. Sicca, L. Billeci, F. Apicella, and F. Muratori, “Using brain connectivity measure of EEG synchrostates for discriminating typical and autism spectrum disorder”, Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on, pp. 1402-1405, Nov. 2013, San Diego, CA, doi: http://dx.doi.org/10.1109/NER.2013.6696205.

36. W. Jamal, S. Das, and K. Maharatna, “Existence of millisecond-order stable states in time-varying phase synchronization measure in EEG signals”, Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, pp. 2539-2542, Jul. 2013, Osaka, Japan, doi: http://dx.doi.org/10.1109/EMBC.2013.6610057.

37. S. Das, I. Pan, K. Halder, S. Das, and A. Gupta, “Optimum weight selection based LQR formulation for the design of fractional order PIλDμ controllers to handle a class of fractional order systems”, Computer Communication and Informatics (ICCCI), 2013 International Conference on, Jan. 2013, Coimbatore, doi: http://dx.doi.org/10.1109/ICCCI.2013.6466137.

38. S. Saha, S. Das, A. Acharya, A. Kumar, S. Mukherjee, I. Pan, and A. Gupta, “Identification of nonlinear systems from the knowledge around different operating conditions: a feed-forward multi-layer ANN based approach”, Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on, Dec. 2012, Solan, doi: http://dx.doi.org/10.1109/PDGC.2012.6449856.

39. A. Acharya, S. Das, and I. Pan, “Optimum PID control of multi-wing attractors in a family of Lorenz-like chaotic systems”, Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on, art no. 6396002, Jul. 2012, Coimbatore, doi: http://dx.doi.org/10.1109/ICCCNT.2012.6396002.

40. A. Pakhira, S. Das, A. Acharya, I. Pan, and S. Saha, “Optimized quality factor of fractional order analog filters with band-pass and band-stop characteristics”, Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on, art no. 6396000, Jul. 2012, Coimbatore, doi: http://dx.doi.org/10.1109/ICCCNT.2012.6396000.

41. A. Routh, S. Das, S. Das, and I. Pan, “Stabilization based networked predictive controller design for switched plants”, Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on, art. no. 6396001, Jul. 2012, Coimbatore, doi: http://dx.doi.org/10.1109/ICCCNT.2012.6396001.

42. S. Das, I. Pan, K. Sur, and S. Das, “Artificial neural network based prediction of optimal pseudo-damping and meta-damping in oscillatory fractional order dynamical systems”, Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on, art no. 6216029, pp. 350-356, Mar. 2012, Nagapattinam, Tamil Nadu, URL: http://ieeexplore.ieee.org/document/6216029/.

43. S. Saha, S. Das, A. Pakhira, S. Mukherjee, and I. Pan, “Comparative studies on decentralized multiloop PID controller design using evolutionary algorithms”, Engineering and Systems (SCES), 2012 Students Conference on, art no. 6199122, Mar. 2012, Allahabad, doi: http://dx.doi.org/10.1109/SCES.2012.6199122.

44. S. Das, K. Halder, I. Pan, S. Ghosh, and A. Gupta, “Inverse optimal control formulation for guaranteed dominant pole placement with PI/PID controllers”, Computer Communication and Informatics (ICCCI), 2012 International Conference on, art. no. 6158899, Jan. 2012, Coimbatore, doi: http://dx.doi.org/10.1109/ICCCI.2012.6158899.

45. S. Das, I. Pan, K. Halder, S. Das, and A. Gupta, “Impact of fractional order integral performance indices in LQR based PID controller design via optimum selection of weighting matrices”, Computer Communication and Informatics (ICCCI), 2012 International Conference on, art. no. 6158892, Jan. 2012, Coimbatore, doi: http://dx.doi.org/10.1109/ICCCI.2012.6158892.

46. S. Das, A. Gupta, and S. Das, “Generalized frequency domain robust tuning of a family of fractional order PI/PID controllers to handle higher order process dynamics”,  Advanced Material Research (Trans Tech Publications), vol. 403-408 (MEMS, NANO and Smart Systems), pp. 4859-4866, 2012, doi: http://dx.doi.org/10.4028/www.scientific.net/AMR.403-408.4859.

47. I. Pan, S. Das, A. Mukherjee, and A. Gupta, “Gain and order scheduling of optimal fractional order PID controllers for random delay and packet dropout in networked control systems”, Advanced Material Research (Trans Tech Publications), vol. 403-408 (MEMS, NANO and Smart Systems), pp. 4814-4820, 2012, doi: http://dx.doi.org/10.4028/www.scientific.net/AMR.403-408.4814.

48. B. Majumder, S. Saha, S. Das, I. Pan, and A. Gupta, “Prediction of power signal in nuclear reactors with neural network based intelligent predictors in presence of 1/fα type sensor noise”, Advanced Material Research (Trans Tech Publications), vol. 403-408 (MEMS, NANO and Smart Systems), pp. 4512-4521, 2012, doi: http://dx.doi.org/10.4028/www.scientific.net/AMR.403-408.4512.

49. S. Das, A. Kumar, I. Pan, A. Acharya, S. Das, and A. Gupta, “Least square and instrumental variable system identification of AC servo position control system with fractional Gaussian noise”, Energy, Automation, and Signal (ICEAS), 2011 International Conference on, art. no. 6147165 , pp. 545-550, Dec. 2011, Bhubaneswar, doi: http://dx.doi.org/10.1109/ICEAS.2011.6147165.

50. S. Das, I. Pan, S. Saha, A. Kumar, S. Das, and A. Gupta, “Revisiting Oustaloup’s recursive filter for analog realization of fractional order differintegrators”, Energy, Automation, and Signal (ICEAS), 2011 International Conference on, art. no. 6147190, pp. 690-695, Dec. 2011, Bhubaneswar, doi: http://dx.doi.org/10.1109/ICEAS.2011.6147190.

51. S. Das, I. Pan, B. Majumder, S. Das, and A. Gupta, “Control of nuclear reactor power with thermal-hydraulic effects via fuzzy PIλDμ controllers”, Communication and Industrial Application (ICCIA), 2011 International Conference on, art. no. 6146648, Dec. 2011, Kolkata, doi: http://dx.doi.org/10.1109/ICCIndA.2011.6146648.

52. S. Das, N.U. Molla, I. Pan, A. Pakhira, and A. Gupta, “Online identification of fractional order models with time delay: an experimental study”, Communication and Industrial Application (ICCIA), 2011 International Conference on, art. no. 6146647, Dec. 2011, Kolkata, doi: http://dx.doi.org/10.1109/ICCIndA.2011.6146647.

53. S. Das, S. Saha, A. Gupta, and S. Das, “Analog realization of fractional order hybrid differentiators via Carlson’s approach”, Multimedia, Signal Processing and Communication Technologies (IMPACT), 2011 International Conference on, art. no. 6150520, pp. 60-63, Dec. 2011, Aligarh, doi: http://dx.doi.org/10.1109/MSPCT.2011.6150520.

54. S. Das, B. Majumder, A. Pakhira, I. Pan, S. Das, and A. Gupta, “Optimizing continued fraction expansion based IIR realization of fractional order differ-integrators with genetic algorithm”, Process Automation, Control and Computing (PACC), 2011 International Conference on, art. no. 5979043, Jul. 2011, Coimbatore, doi: http://dx.doi.org/10.1109/PACC.2011.5979043.

55. S. Das, S. Saha, A. Mukherjee, I. Pan, and A. Gupta, “Adaptive gain and order scheduling of optimal fractional order PIλDμ controllers with radial basis function neural-network”, Process Automation, Control and Computing (PACC), 2011 International Conference on, art. no. 5979047, Jul. 2011, Coimbatore, doi: http://dx.doi.org/10.1109/PACC.2011.5979047.

56. S. Das, I. Pan, S. Das, and A. Gupta, “Genetic algorithm based improved sub-optimal model reduction in Nyquist plane for optimal tuning rule extraction of PID and PIλDμ controllers via genetic programming”, Process Automation, Control and Computing (PACC), 2011 International Conference on, art. no. 5978962, Jul. 2011, Coimbatore, doi: http://dx.doi.org/10.1109/PACC.2011.5978962.

57. B. Majumder, S. Das, I. Pan, S. Saha, S. Das, and A. Gupta, “Estimation, analysis and smoothing of self-similar network induced delays in feedback control of nuclear reactors”, Process Automation, Control and Computing (PACC), 2011 International Conference on, art. no. 5978960, Jul. 2011, Coimbatore, doi: http://dx.doi.org/10.1109/PACC.2011.5978960.

58. A. Mukherjee, A. Pakhira, S. Das, I. Pan, and A. Gupta, “Embedded network test bed for validating real time control algorithms to ensure optimal time domain performance”, Process Automation, Control and Computing (PACC), 2011 International Conference on, art. no. 5979045, Jul. 2011, Coimbatore, doi: http://dx.doi.org/10.1109/PACC.2011.5979045.

59. I. Pan, S. Das, S. Ghosh, and A. Gupta, “Stabilizing gain selection of networked variable gain controller to maximize robustness using particle swarm optimization”, Process Automation, Control and Computing (PACC), 2011 International Conference on, art. no. 5978958, Jul. 2011, Coimbatore, doi: http://dx.doi.org/10.1109/PACC.2011.5978958.

60. B. Majumder, S. Das, I. Pan, S. Das,  and A. Gupta, “Denoising SPND signal by discrete wavelet analysis for efficient power feedback in regulating system of PHWRs under noisy environment”, Emerging Trends and Applications in Computer Science (NCETACS), 2011 2nd National Conference on, art. no. 5751403, pp. 159-163, Mar. 2011, Shillong, doi: http://dx.doi.org/10.1109/NCETACS.2011.5751403.

61. I. Pan, A. Mukherjee, S. Das, and A. Gupta, “Real time implementation of a genetic algorithm based optimal PID controller to handle unreliable network conditions in NCS applications”, Emerging Trends and Applications in Computer Science (NCETACS), 2011 2nd National Conference on, art. no. 5751402, pp. 153-157, Mar. 2011, Shillong, doi: http://dx.doi.org/10.1109/NCETACS.2011.5751402.

62. S. Das, B. Majumdar, I. Pan, A. Gupta, and S. Das, “A new fractional Fourier transform based design of a band pass FIR filter for power feedback in nuclear reactor under noisy environment”, Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on, art. no. 5760199, pp. 655-660, Mar. 2011, Nagercoil, doi: http://dx.doi.org/10.1109/ICETECT.2011.5760199.

63. S. Das, S. Mukherjee, I. Pan, A. Gupta, and S. Das, “Identification of the core temperature in a fractional order noisy environment for thermal feedback in nuclear reactors”,Students' Technology Symposium (TechSym), 2011 IEEE, art. no. 5783821, pp. 180-186, Jan. 2011, IIT Kharagpur, doi: http://dx.doi.org/10.1109/TECHSYM.2011.5783821.

64. I. Pan, A. Mukherjee, S. Das, and A. Gupta, “Simulation studies on multiple control loops over a bandwidth limited shared communication network with packet dropouts”, Students' Technology Symposium (TechSym), 2011 IEEE, art. no. 5783812, pp. 113-118, Jan. 2011, IIT Kharagpur, doi: http://dx.doi.org/10.1109/TECHSYM.2011.5783812.

65. S. Saha, S. Das, R. Ghosh, B. Goswami, R. Balasubramanian, A.K. Chandra, S. Das, and A. Gupta, “Fractional order phase shaper design with Routh’s criterion for iso-damped control system”, India Conference (INDICON), 2009 Annual IEEE, art. no. 5409434, Dec. 2009, Gujarat, doi: http://dx.doi.org/10.1109/INDCON.2009.5409434.