Publications

International Journals

1.  Amit Kukker, Om Mishra, Deepak Parasher and Rajneesh Sharma, "Epileptic Seizure Classification using Fuzzy Lattices assisted Neural Reinforcement Learning " , Accepted in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor and Francis, December 2023, (SCI IF 1.532) 
2. T. Shikhola, Rajneesh Sharma and J. K. Kohli, " Seasonal Prediction of Solar Irradiance with Modified Fuzzy Q Learning" Accepted in Soft Computing , Springer, June 2023. (SCI, IF 3.732) 
3. K. Sareen, B. K. Panigrahi, T. Shikhola and Rajneesh Sharma, " An imputation and decomposition algorithms based integrated approach

4. Amit Kukker and Rajneesh Sharma, “JAYA- Optimized Fuzzy Reinforcement Learning Classifier for COVID-19 ”, IETE Journal of Research, vol. 63, issue 10, 2023 . (SCI, IF 2.333) 

5. Amit Kukker and Rajneesh Sharma, “Stochastic Genetic Algorithm assisted Fuzzy Q-Learning for Robotic Manipulators”, Arabian Journal of Science and Engineering, vol. 46, pp. 9527-39, January, 2021 . (SCI, IF 2.334) 

6. Amit Kukker, Rajneesh Sharma, “A Genetic Algorithm Assisted Fuzzy Q-Learning Epileptic Seizure Classifier”, Computers and Electrical Engineering, Elsevier Science, Vo. 92, June 2021 . (SCI, IF 2.663)

7. Amit Kukker, Rajneesh Sharma, “ Modified Fuzzy Q Learning based Classifier for Pneumonia and Tuberculosis”, Computers and Electrical Engineering, Elsevier Science, Vo. 92, June 2021 . (SCI, IF 1.022)

8. Rajneesh Sharma, T. Shikhola and J. Kaur, “Modified fuzzy Q learning based wind speed prediction”, Journal of Wind Engineering and Industrial Aerodynamics, Elsevier Science, Vol. 206, Nov. 2020 . (SCI, IF 2.739)

9.  Amit Kukker, Rajneesh Sharma, and Hasmat Malik, “An Intelligent Genetic Fuzzy Classifier for Transformer Faults”, online, IETE Journal of Research, Taylor and Francis, Volume 68, Issue 4, 2022 . (SCI, IF 1.03)

10.  Hasmat Malik, Rajneesh Sharma and S. Mishra, “Fuzzy Reinforcement Learning Based Intelligent Classifier for Power Transformer Faults”, ISA Transactions, Elsevier Sciences, vol. 101, pp. 390-398, June 2020. (SCI, IF 4.472)

11. Amit Kukker and Rajneesh Sharma, “Genetic Algorithm Optimized Fuzzy Lyapunov Reinforcement Learning for Nonlinear Systems”, Arabian Journal of Science and Engineering, vol. 45, pp. 1629-1638, 2020. (SCI, IF 1.518)

12. A. Kumar and Rajneesh Sharma, “Fuzzy Knowledge Based Fractional Order PID Control Implementation with Nature Inspired Algorithms”, International Journal of Computational Intelligence Studies, Inderscience, Vol.8 No.4, pp.272 – 288, 2019.

13. A. Kumar, Varun Upadhaya, Ayush Singh, Paras Pandey, Rajneesh Sharma, “Fractional Order Ant Colony Control with Genetic Algorithm based Initialization”, International Journal of Swarm Intelligence, Inderscience (In press), 2018.

14.  Nandan Km. Navin, Rajneesh Sharma, Hasmat Malik, “Solving nonconvex economic thermal power dispatch problem with multiple fuel system and valve point loading effect using Fuzzy Reinforcement Learning”, Journal of Intelligent and Fuzzy Systems, 35(5):1-10, July 2018 (SCI, IF 1.261)

15.   Amit Kukker and Rajneesh Sharma, “Neural Reinforcement Learning Classifier for Elbow, Finger and Hand Movements”, 35(5), pp. 5111-5121, Journal of Intelligent and Fuzzy Systems, January 2018 (SCI, IF 1.261)

16. Abhishek Kumar and Rajneesh Sharma, “Neural/Fuzzy Self Learning Lyapunov Control for Non Linear Systems”, In Press, International Journal of Information Technology, Springer Singapore, December 2017.

    1. 1. Link: Kumar, A. & Sharma, R. Int. j. inf. tecnol. (2018). https://doi.org/10.1007/s41870-017-0074-z

17. Abhishek Kumar and Rajneesh Sharma, “Lyapunnov Fuzzy Markov Game Controller for Two link Robotic Manipulator”, 34(3), pp.1479-1490, Journal of Intelligent and Fuzzy Systems, March 2018. (SCI, IF 1.261).

18.  Hasmat Malik and Rajneesh Sharma, “Transmission Line Fault Classification Using Modified Fuzzy Q Learning” IET Generation, Transmission & Distribution, Volume 11, Issue 16, 09 November 2017, pp. 4041 – 4050. (SCI, IF 2.808)

19.  A. Kumar, Rajneesh Sharma, “A Genetic Algorithm based Fractional Fuzzy PID Controller for Integer and Fractional order Systems”, International Journal of Intelligent Systems and Applications (IJISA), Vol. 5, pp. 23-32, May 2018.

20.  Abhishek Kumar and Rajneesh Sharma, “Linguistic Lyapunov Reinforcement Learning Control for Robotic Manipulators”, Neurocomputing, Volume 272(10), pp. 84-95 January 2018. (SCI, IF 3.317)

21. Nandan Km. Navin and Rajneesh Sharma, “A Fuzzy Reinforcement Learning Approach to Thermal Unit Commitment Problem”, Neural Computing and Applications, Springer, vol. 31, pp. 737–750, 2019. (SCI, IF 2.505)

22.  Hasmat Malik, Parul Arora, and Rajneesh Sharma, “Wind Energy Forecasting Model for Northern-Western Region of India Using Decision Tree and MLP Neural Network Approach”, Interdisciplinary Environmental Review, 2018 Vol.19 No.1, pp.13 - 30.

23.   Abhishek Kumar and Rajneesh Sharma, “Fuzzy Lyapunov Reinforcement Learning for Nonlinear Systems”, ISA Transactions, Elsevier Sciences, pp. 151-159, vol. 67, 2017. (SCI, IF 3.394)

24.   Hasmat Malik and Rajneesh Sharma, “EMD and ANN based intelligent fault diagnosis model for Transmission Line”, Journal of Intelligent & Fuzzy Systems, vol. 32, pp. 3043–3050, 2017. (SCI, IF 1.261).

25.  Rajneesh Sharma, “Lyapunov theory based Stable Markov Game Fuzzy Control for Non Linear Systems”, Engineering Applications of Artificial Intelligence, Elsevier Sciences, vol. 55, pp, 119-127, 2016. (SCI, IF 3.177)

26. Rajneesh Sharma, “An Intelligent Game Theoretic Controller for SCARA manipulators”, International Research Journal of Engineering and Technology (IRJET), Volume: 03 Issue: 5, May 2016, pp. 3366-3371. 

27. Rajneesh Sharma, “Hybrid Fuzzy Fictitious Play based Control for Robotic Manipulators”, International Research Journal of Engineering and Technology (IRJET), Volume: 03 Issue: 6, June 2016, pp. 3100-3107.

28.   Rajneesh Sharma, and Matthijs T. J. Spaan, " Bayesian Game Based Fuzzyb Reinforcement Learning Control for Decentralized POMDPs ", IEEE   Transactions on Computational Intelligence in AI and Games, vol. 4, issue 4, pp. 309-328, December 2012. (SCI, IF 1.113)

29.   Rajneesh Sharma, and M. Gopal, “Synergizing Reinforcement Learning and Game Theory - A new direction for Control,”  Applied Soft Computing Journal, Elsevier Sciences,vol. 10, issue 3, pp. 675-688, June 2010(SCI, IF 3.811)

30.  Rajneesh Sharma, and M. Gopal, “Hybrid game strategy in Fuzzy Markov Game based Control,” IEEE Transactions on Fuzzy Systems, vol. 16, issue 5, pp. 1315 – 1327, Oct. 2008. (SCI, IF 7.671) 

31.   Rajneesh Sharma, and M. Gopal, “A Markov Game Adaptive Fuzzy             Controller for Robot Manipulators,” IEEE Transactions on Fuzzy Systems, vol. 16, issue 1, pp. 171 – 186, Feb. 2008. (SCI, IF 7.671)

32. Rajneesh Sharma, and M. Gopal, “A robust Markov game controller for           nonlinear systems,” Applied Soft Computing Journal, Elsevier Science, vol. 7, issue 3, pp. 818-827, June 2007. (SCI, IF 3.811)

33.  Rajneesh Sharma, and M. Gopal, “Trajectory-Based Modified Policy Iteration,” International Journal of Computational Intelligence, vol. 3, no. 2, pp. 169-178, 2006.

34.   Rajneesh Sharma, and M. Gopal, “A Markov Game Controller for Finite State Space Nonlinear Systems,” International Journal of Computational Cognition (IJCC), vol. 4, no.3, pp. 9-14, 2006.

35.    Rajneesh Sharma, and M. Gopal, “Markov Game Controller Design  Algorithms,” International Journal of Computational Intelligence,    vol. 3, no. 2, pp. 215-223, 2006.

36.    Rajneesh Sharma, and M. Gopal, “A Hybrid Markov Game Controller for  Nonlinear Systems,” International Journal of Computational Cognition (IJCC),vol. 5, no.1, pp. 1-7, March 2007

37.    Amit Kukker and Rajneesh Sharma, “EEG Based Epilepsy Seizure Analysis and  Classification Methods: An Overview”, IJCSE, Vol.7, Issue.8, pp.328-346, Aug. 2019    

International Conferences

1. Rajneesh Sharma, and M. Gopal, “Reinforcement Learning based  Game-theoretic Neural Controller,” 2006 American Control Conference,  Minneapolis (USA), June 14-16, 2006, pp. 2975-2980.

2.  Rajneesh Sharma, and M. Gopal, “A Safe and Consistent Game-  theoretic  Controller for Nonlinear Systems,” 2nd Indian International  Conference   on    Artificial Intelligence (IICAI-05), December20-22, Pune, India, pp. 23-37, 2005.

3.    Rajneesh Sharma, and M. Gopal, “A Hybrid Game-theoretic Approach to  Controller   Design for Nonlinear Systems,” IPSI- 2005 USA conference, July 8-    9, M.I.T., USA, 2005.

4. Rajneesh Sharma and Matthijs T. J. Spaan , “A Bayesian Game based Adaptive    Fuzzy Controller for Multi agent POMDPs,” in Proceedings of FUZZ IEEE 2010,   July 18-23, Barcelona, Spain, 2010.

5. Rajneesh Sharma and Matthijs T. J. Spaan , “Fuzzy Reinforcement Learning    Control for Decentralized Partially Observable Markov Decision Processes,” in   Proceedings of FUZZ IEEE 2011, June 27-30, Taipei, Taiwan, 2011.

6. Rajneesh Sharma, and M. Gopal, “ Fictitious Play based Markov Game Control  for Robotic Arm Manipulator”, 3rd IEEE International Conference on  

Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future   Directions), Amity University, Noida, Uttar Pradesh, India, pp. 1-6, October 8-10,      2014.

7. Rajneesh Sharma, “Fuzzy Q Learning based UAV Autopilot”, IEEE conference   on Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH-14), Krishna Institute of Engineering and Technology (KIET), Ghaziabad, Uttar Pradesh, India, pp. 29-33, November 28-29, 2014.

8. Rakhi Saxena and Rajneesh Sharma, “A Hybrid Lyapunov Fuzzy  Reinforcement Learning Controller”, IEEE 9th India Com Conference,  Computing for Sustainable Global Development, at Bharti Vidyapeeth University, pp. 1193-1197, New Delhi, 11-13th March 2015.

9. Runa and Rajneesh Sharma, “A Lyapunov theory based Adaptive Fuzzy        Learning Control for Robotic Manipulator”, IEEE Conference on Recent          Developments in Control, Automation and Power Engineering (RDCAPE) 2015, Amity University, pp. 247-252, 12-13th March 2015.

10. Abhishek Kumar and Rajneesh Sharma, “A Stable Lyapunov Constrained         Reinforcement Learning based Neural Controller for Non Linear Systems”, IEEE International Conference on Computing, Communication and Automation (ICCCA 2015), 15-16th May, 2015, School of Computing Science and Engineering, Galgotia University, pp. 185-189, Uttar Pradesh, India

11. Rajneesh Sharma, “Game Theoretic Lyapunov Fuzzy Control for Inverted         Pendulum”, 4th IEEE International Conference on Reliability, Infocom         Technologies and Optimization (ICRITO) (Trends and Future Directions),         Amity University, Noida, Uttar Pradesh, India, pp. 1-6, September 2-4, 2015.

12. Nandan Kr Naveen, and Rajneesh Sharma “A Gaussian Shuffled Differential Evolution approach to Economic Load Dispatch Problem with valve point effect”, IEEE International Conference  On Computing Communication and Automation (ICCCA-2016),29-30th, April, 2016, Galgotia University, Noida, UP, India

13. A. Agarawal, Rajneesh Sharma and Hasmat Malik, “Selection of most relevant input parameters using WEKA for artificial neural network based transmission line fault diagnosis model”, Proc. of the Intl. Conf. on Nanotechnology for Better Living, 2016, 25-29th May, 2016, Srinagar, J & K, India.

14. A. Kumar and Rajneesh Sharma, “Lyapunov theory based Intelligent Fuzzy Controller for Inverted Pendulum”, Proceedings of 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy (ICPEICES) 2016, 4-6th July 2016, DTU, Delhi.

15. A. Agarawal, Rajneesh Sharma and Hasmat Malik, “Feature Extraction Using EMD and Classification Through Probabilistic Neural Network for Fault Diagnosis of Transmission Line”, Proceedings of 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy (ICPEICES) 2016, 4-6th July 2016, DTU, Delhi

16. Nandan Kr. Naveen, and Rajneesh Sharma “A Modified Differential Evolution approach to Emission Constrained Thermal Unit Commitment Problem”, Proceedings of 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy (ICPEICES) 2016, 4-6th July 2016, DTU, Delhi

17. R.  Singh, A. Kumar and Rajneesh Sharma, “Fractional Order PID Control Using Ant Colony Optimization”, Proceedings of 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy (ICPEICES) 2016, 4-6th July 2016, DTU, Delhi

18. A. kukker, Rajneesh Sharma and Hasmat Malik, “Forearm Movements Classification of EMG Signals using Hilbert Huang Transform and Artificial Neural Networks” accepted at PIICON 2016, November 25-27, 2016, Bikaner, Rajasthan.

19.  Nandan K. Navin and Rajneesh Sharma, “A Modified Differential Evolution approach to PHEV Integrated Thermal Unit Commitment Problem”, accepted at PIICON 2016, November 25-27, 2016, Bikaner, Rajasthan.

20. Lalit Kumar, Amit Kukker, Hasmat Malik and Rajneesh Sharma, “Wavelet and Hilbert Huang Transform based Transmission Line Fault Classification Model Using K-Nearest Neighbor Algorithm”, accepted INDIACON, Bharati Vidyapeeth, Delhi, 2017.

21. Amit Kukker, Hasmat Malik and Rajneesh Sharma, “Empirical Mode Decomposition and Hilbert Huang Transform Based Decision Tree Approach for Forearm Movement Classification”, accepted INDIACON, Bharati Vidyapeeth, Delhi, 2017.

22.  Parul Arora, Hasmat Malik and Rajneesh Sharma, “Multilayer Perceptron Neural Network Based Wind Speed Prediction Model for Northern and Western Region of India”, accepted INDIACON, Bharati Vidyapeeth, Delhi, 2017.

23.  Parul Goyal, Hasmat Malik and Rajneesh Sharma, “Application of Evolutionary-Reinforcement Learning (ERL) Approach in Control Domain : A Review”, accepted  ICSICCS-2017, Moga, Punjab, India

24. Karan Vir Singh, Hasmat Malik and Rajneesh Sharma, “Condition Monitoring of Wind Turbine Gearbox Using Electrical Signatures”, accepted at IEEE ICMDCS 2017.

25. Rajneesh Sharma and Amit Kukker, ““Neural Reinforcement Learning based Identifier for Typing Keys using Forearm EMG Signals” accepted 9th International Conference on Signal Processing Systems (ICSPS 2017) , AUT University, Auckland, New Zealand during November 27-30, 2017.

26. V. Upadhyaya, A. Singh, P. Pandey, A. Kumar, Rajneesh Sharma, “Genetic Algorithm based optimization of Ant Colony Controller for Fractional Order Systems”, 2017 International Conference on Computational Intelligence: Theories, Applications, and Future Directions (ICCI-2017), Indian Institute of Technology Kanpur, India, December 6th - 8th, 2017.

27. A. Kumar, Rajneesh Sharma, “A Nature Inspired PID like Fuzzy Knowledge based Fractional Order Controller”, RAACE, Jaipur, 23-25th November, 2017.

28. A. Parashar, H Malik, Rajneesh Sharma, “Feature extraction using EMD and classifier through artificial neural networks for fault diagnosis of wind turbine gearbox” accepted at SIGMA 2018, NSIT, New Delhi, India.

29. D. Chack, H. Malik, Rajneesh Sharma, “A Novel Intelligent Transmission Line Fault Diagnosis Model Based on EEMD and Multiclass PSVM”, accepted at SIGMA 2018, NSIT, New Delhi, India.

30. V. Padmanabhan, H Malik, Rajneesh Sharma, “PSO-ANN Based Hybrid Prediction Model for Long Term Wind Speed Prediction: A Study on Sixty-Seven Indian Cities”, accepted at SIGMA 2018, NSIT, New Delhi, India.

31. S. Gupta, A. Bhardwaj, Rajneesh Sharma, P. Varshney and S, Srivastava, “Image Edge Detection using Fractional Order Differential Calculus”, ICVIP 2018, 28-31 December, 2018, Hong Kong.

32.  Sonu Mehra, Rajneesh Sharma, “Performance Analysis of Artificial Intelligence based MPPT Technique for a Solar System under Changing Environmental Conditions”, accepted for publication in the proceedings of Elsevier-SSRN Digital Library, International Conference on Advances in Electronics, Electrical and Computational Intelligence (ICAEEC 2019), May 31- June 01, 2019, Indian Institute of Information Technology (IIIT) Allahabad, India

33. Nitin Singh, Rajneesh Sharma, Amit Kukker, “Wavelet Transform Based Pneumonia Classification of Chest X- Ray Images,” accepted for publication in the proceedings of IEEE International Conference on Computing, Power and Communication Technologies (GUCON 2019), September 27-29, 2019, Galgotias University (GCET Campus), Greater Noida, India

34. Tushar Shikhola, Rajneesh Sharma, “Performance Comparison of ARIMA and k-NN Models for Short Term Wind Speed Forecasting”, accepted for publication in the proceedings of Elsevier-SSRN Digital Library, International Conference on Advances in Electronics, Electrical and Computational Intelligence (ICAEEC 2019), May 31- June 01, 2019, Indian Institute of Information Technology (IIIT) Allahabad, India

35. Jaspreet Kaur Kohli, Rajneesh Sharma, “Short Term Solar Radiation Forecasting for Photovoltaic Installations in Smart Grids: A Data Driven Approach”, accepted for publication in the proceedings of Elsevier-SSRN Digital Library, International Conference on Advances in Electronics, Electrical and Computational Intelligence (ICAEEC 2019), May 31- June 01, 2019, Indian Institute of Information Technology (IIIT) Allahabad, India

36. Mayank Kumar Jareda, Rajneesh Sharma, Amit Kukker, “EEG Signal based Seizure Classification Using Wavelet Transform,” accepted for publication in the proceedings of IEEE International Conference on Computing, Power and Communication Technologies (GUCON 2019), September 27-29, 2019, Galgotias University (GCET Campus), Greater Noida, India

37. V. Bhardwaj, Rajneesh Sharma and T. Shikhola, "Performance analysis of Fuzzy Logic based MPPT Controller", pp. 185-195, SIGMA 2022 

38. Shiv Sagar Singh and Rajneesh Sharma, “ Brain Tumor Detection and Classification by MRI Using Hybrid Techniques with SVM Classifiers”, AIAT 2023, Nov. 21-23, 2023, Tokyo, Japan. 

39. Gaurav Pandey, Amit Kukker and Rajneesh Sharma, “ Multilayer Convolutional Neural Network for Maize Leaf Disease Classification”, 2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA), October 2023 

40. Gaurav Pandey, Amit Kukker and Rajneesh Sharma, “ Bi-Directional Long Short-Term Memory Network (BiDLSTM) Model Based Air Pollution Prediction”, 2023 2nd International Conference on Futuristic Technologies (INCOFT), November 2023.

41. Gaurav Pandey, Amit Kukker and Rajneesh Sharma, “ Solanaceae Family Plants Disease Classification Using Machine Learning Techniques, 2023 IEEE Pune Section International Conference (PuneCon), December 2023 

Book Chapters

1. A. Kumar and Rajneesh Sharma, “A Nature Inspired PID like Fuzzy Knowledge-Based Fractional-Order Controller for Optimization”, Computational Network Application Tools for Performance Management, Springer Verlag, New York, LCC, Nov. 2019.