Prof. Dr. Sunil Jha

• Professor at Adani University, Ahmedabad (February 2022 – Till Date).
• Associate Professor at Nanjing University of Information Science and Technology, Nanjing, China (October 2017 – September 2021).
• Assistant Professor at the University of Information Technology and Management, Rzeszow, Poland (September 2016-September 2017).
• Assistant Professor at the University of Information Science and Technology, Ohrid, North Macedonia (February 2015-August 2016).
• Postdoctoral Researcher at Hanyang University, Seoul, South Korea (2014-2015)
• Postdoctoral Researcher at Kyushu University, Fukuoka, Japan (2012-2014).
• Visiting Researcher, Ton Duc Thang University, Vietnam (2016-2020).

• Quantum Science and Technology
• Sensors and Signal Processing
• Applied Physics
• Green and Renewable Technologies
• Computational & Data-Driven Physics and their Applications
• Applied Industrial Physics

Monograph

1. S.K. Jha*, Characterization of human body odor and Identification of primary aldehydes in human body odor, Reviews in Analytical Chemistry, 36 (2), 1-16, 2016, Impact Factor 2.458 (Q2), https://doi.org/10.1515/revac-2016-0028

SCI Indexed International Journal Papers

2. A. Singh, R.K. Tiwari, M.P. Singh, and S.K. Jha (2025). A novel automated technique based on ensemble learning for prediction of soil moisture using satellite images. Advances in Space Research, Impact Factor 5.5 (Q1), https://doi.org/10.1016/j.asr.2025.10.101

3. J. Tanna, S.K. Jha*, M. Muruganant, A. K. Singh, A. K. Vyas and S. Kumar, Heat Pulse Probe-based Smart Soil Moisture Detection System, IEEE Sensors Journal, Issue. 11, June 2023, pp. 11428 – 11436, Impact Factor 4.325 (Q1), https://doi.org/10.1109/JSEN.2023.3266070

4. S.K. Jha*, J, Wang, N. Marina, A novel model-driven deterministic approach to wind power imputation, Sustainable Computing: Informatics and Systems, Vol. 36, December 2022, 100818, Impact Factor 4.923 (Q1), https://doi.org/10.1016/j.suscom.2022.100818

5. S.K. Jha*, F. Josheski, X. Zhang, Z. Ahmad Neuroevolution of Augmenting Topologies for Artificial Evolution: A Case Study of Kinesis Creature in the Various Mediums, The International Arab Journal of Information Technology, Vol. 19, No. 6, November 2022, Impact Factor 0.967 (Q3), https://www.iajit.org/portal/images/Year2022/No.6/20573.pdf

6. S.K. Jha*, J. Wang, R. Shanmugam, An accurate soft diagnosis method of breast cancer using the operative fusion of derived features and classification approaches, Vol. 39, Issue 7, March 2022, Expert Systems, Impact Factor 2.812 (Q2), https://doi.org/10.1111/exsy.12976

7. S.K. Jha*, Z. Chisti, Z. Ahmad, K. Arshad, Enterobacter sp. SWLC2 for biodegradation of chlorpyrifos in the aqueous medium: Modeling of the process using artificial neural network approaches, Computers and Electronics in Agriculture, Vol. 193, February 2022, 106680, Impact Factor 6.757 (Q1), https://doi.org/10.1016/j.compag.2021.106680

8. S.K. Jha*, Z. Ahmad, An effective feature generation and selection approach for lymph disease recognition, Computer Modeling in Engineering & Sciences, Vol. 129, Issue 2, pp. 567-594, 2021, Impact Factor 2.027 (Q3), https://doi.org/10.32604/cmes.2021.016817

9. S.K. Jha*, Marina, N., Wang, J., & Ahmad, Z. A hybrid machine learning approach of fuzzy-rough-k-nearest neighbor, latent semantic analysis, and ranker search for efficient disease diagnosis. Journal of Intelligent & Fuzzy Systems, 1-16, 2021, Impact Factor 1.737 (Q2), https://doi.org/10.3233/JIFS-211820

10. S.K. Jha*, Zhang, J., Hayashi, K., & Liu, C., Identification of discriminating chemical compounds in banana species and their odor characterization using GC–MS, statistical, and clustering analysis. Journal of Food Science and Technology, 1-7, 2021, Impact Factor 3.117 (Q1), https://doi.org/10.1007/s13197-021-05298-9

11. S.K. Jha*, I. Uzunov, X. Zhang, A combined approach of principal component analysis and support vector machine for early development phase modeling of Ohrid trout (Salmo Letnica), Computer Modeling in Engineering & Sciences, Vol. 126 Issue 3, pp. 991-1009, 2021, Impact Factor 2.027 (Q3), https://doi.org/10.32604/cmes.2021.011821

12. S.K. Jha*, T.H. Yoon, Toxicity modelling of nanomaterials by origin evaluation of their physicochemical descriptors using a combination of principal component analysis and support vector machine methods, Expert Systems, Volume 37, Issue 2, e12492 2019, Impact Factor 2.812 (Q2), https://doi.org/10.1111/exsy.12492

13. S.K. Jha*, J. Bilalovic, A comparative approach of neural network and regression analysis in very short-term wind speed prediction, Neural Network World, Vol. 29, Issue 5, pp. 285-300, 2019, Impact Factor 1.48 (Q4), http://dx.doi.org/10.14311/nnw.2019.29.018

14. S.K. Jha*, J. Bilalovikj, Short-term wind speed prediction at Bogdanci power plant in FYROM using an artificial neural network, International Journal of Sustainable Energy, Vol. 38, Issue 6, pp. 526-541, 2019, Impact Factor 3.1 (Q2), https://doi.org/10.1080/14786451.2018.1516668

15. S.K. Jha*, K. Hayashi, R.D.S. Yadava, Recognition and sensing of organic compounds using analytical methods, chemical sensors, and pattern recognition approaches, Chemometrics and Intelligent Laboratory Systems, Vol. 185, pp. 18-31, 2019, Impact Factor 4.175 (Q2), https://doi.org/10.1016/j.chemolab.2018.12.008

16. S.K. Jha*, Z. Pan, E. Elahi, N. Patel, A comprehensive search for expert classification methods in disease diagnosis and prediction, Expert Systems, Vol. 36, Issue 1, e12343, 2019, Impact Factor 2.587 (Q2), https://doi.org/10.1111/exsy.12343

17. S.K. Jha*, T.H. Yoon, Z. Pan, Multivariate statistical analysis for selecting optimal descriptors in the toxicity modeling of nanomaterials, Computers in Biology and Medicine, Vol. 99, pp. 161-172, 2018, Impact Factor 8.88 (Q1), https://doi.org/10.1016/j.compbiomed.2018.06.012

18. S.K. Jha*, Z. Ahmad, D.E. Crowley, Fuzzy inference for soil microbial dynamics modeling in fluctuating ecological situations, Journal of Intelligent & Fuzzy Systems, Vol. 35, pp. 1399-1406, 2018, Impact Factor 1.737 (Q2), https://doi.org/10.3233/JIFS-169682

19. S.K. Jha*, Z. Ahmad, D.E. Crowley, Fuzzy-genetic approaches for estimation of microbial rock phosphate solubilization in sandy clay loam textured soil, Computers and Electronics in Agriculture, Vol. 150, pp. 125-133, 2018, Impact Factor 6.757 (Q1), https://doi.org/10.1016/j.compag.2018.04.014

20. S.K. Jha*, S. Shorko, A novel CALM algorithm in student profiling, Computer Applications in Engineering Education, Vol. 26, Issue 4, pp. 841-851, 2018, Impact Factor 2.109 (Q1), https://doi.org/10.1002/cae.21926

21. S.K. Jha*, Z. Ahmad, Soil microbial dynamics prediction using machine learning regression methods, Computers and Electronics in Agriculture, Vol. 147, pp. 158-165, 2018, Impact Factor 6.757 (Q1), https://doi.org/10.1016/j.compag.2018.02.024

22. S.K. Jha*, F. Josheski, Artificial evolution using neuroevolution of augmenting topologies (NEAT) for kinetics study in diverse viscous mediums, Neural Computing and Applications, Vol. 29, Issue 12, pp. 1337-1347, 2018, Impact Factor 6.0 (Q1), https://doi.org/10.1007/s00521-016-2664-2

23. S. K. Jha*, S. Shorko, A novel parallax engine for animation using hybrid graphics software, Entertainment Computing, Vol. 27, pp.188-193, 2018, Impact Factor 2.072 (Q2), https://doi.org/10.1016/j.entcom.2018.07.001

24. S.K. Jha*, J. Bilalovic, A. Jha, N. Patel, H. Zhang, Renewable energy: present research and future scope of artificial intelligence, Renewable and Sustainable Energy Reviews, Vol. 77, pp. 297-317, 2017, Impact Factor 16.799 (Q1), https://doi.org/10.1016/j.rser.2017.04.018

25. S.K. Jha*, Z. Ahmad, Soil microbial dynamics modeling in fluctuating ecological situations by using subtractive clustering and fuzzy rule-based inference systems, Computer Modeling in Engineering & Sciences, Vol. 113, Issue 4, pp. 443-459, 2017, Impact Factor 2.027 (Q3), https://doi.org/10.3970/cmes.2017.113.443

26. S.K. Jha*, K. Hayashi, Molecular structural discrimination of chemical compounds in body odor using their GC–MS chromatogram and clustering methods, International Journal of Mass Spectrometry, Vol. 423, pp. 1-14, 2017, Impact Factor 1.937 (Q3), https://doi.org/10.1016/j.ijms.2017.09.010

27. S.K. Jha*, E.M. Eyong, An energy optimization in wireless sensor networks by using genetic algorithm, Telecommunication Systems, Vol. 67, Issue 1, pp. 113-121, 2017, Impact Factor 2.5 (Q2), https://doi.org/10.1007/s11235-017-0324-1

28. S.K. Jha*, K. Hayashi, Body odor classification by selecting optimal peaks of chemical compounds in GC–MS spectra using filtering approaches, International Journal of Mass Spectrometry, Vol. 415, pp. 92-102, 2017, Impact Factor 1.937 (Q3), https://doi.org/10.1016/j.ijms.2017.03.003

29. S.K. Jha*, S. Shorko, Parallax engine for 2D animation in cinematography, Signal, Image and Video Processing, Vol. 11, Issue 3, pp. 487-491, 2016, Impact Factor 1.538 (Q2), https://doi.org/10.1007/s11760-016-0985-3

30. S.K. Jha*, F. Josheski, N. Marina, K. Hayashi, GC-MS characterization of body odour for identification using artificial neural network classifiers fusion, International Journal of Mass Spectrometry, Vol. 406, Issue 1, pp. 35-47, 2016, Impact Factor 1.937 (Q3), https://doi.org/10.1016/j.ijms.2016.06.002

31. S.K. Jha*, K. Hayashi, R.D.S. Yadava, Drugs of abuse and their detection methodologies: contribution of chemical sensor, Current Organic Chemistry, Vol. 19, Issue 12, pp. 1191-1201, 2015, Impact Factor 2.226 (Q3), http://dx.doi.org/10.2174/1385272819666150318223054

32. S.K. Jha*, N. Marina, C. Liu, K. Hayashi, Human body odor discrimination by GC-MS spectra data mining, Analytical Methods, Vol. 7, pp. 9549-9561, 2015, Impact Factor 3.532 (Q2), https://doi.org/10.1039/C5AY02457A

33. S.K. Jha*, K. Hayashi, Polyacrylic acid polymer & aldehydes template molecule-based MIPs coated QCM sensors for detection of pattern aldehydes in body odor, Sensors & Actuator B: Chemical, Vol. 206, pp. 471-487, 2015, Impact Factor 9.221 (Q1), https://doi.org/10.1016/j.snb.2014.09.102

34. S.K. Jha*, K. Hayashi, A quick responding quartz crystal microbalance sensor array based on molecular imprinted Polyacrylic acids coating for selective identification of aldehydes in body odor, Talanta, Vol. 134, pp. 105-119, 2015, Impact Factor 6.566 (Q1), https://doi.org/10.1016/j.talanta.2014.09.049

35. S.K. Jha*, C. Liu, K. Hayashi, Molecular imprinted polyacrylic acids based QCM sensor array for recognition of organic acids in body odor, Sensors & Actuator B: Chemical, Vol. 204, pp. 74-87, 2014, Impact Factor 9.221 (Q1), https://doi.org/10.1016/j.snb.2014.07.098

36. S.K. Jha*, K. Hayashi, and R.D.S. Yadava, Neuro, fuzzy and neuro-fuzzy approach for concentration estimation of volatile organic compounds by surface acoustic wave sensor array, Measurement, Vol. 55, pp. 186-195, 2014, Impact Factor 5.6 (Q1), https://doi.org/10.1016/j.measurement.2014.05.002

37. S.K. Jha*, K. Hayashi, A novel odor filtering and sensing system combined with regression analysis for chemical vapor quantification, Sensors & Actuator B: Chemical, Vol. 200, pp. 269-287, 2014, Impact Factor 9.221 (Q1), https://doi.org/10.1016/j.snb.2014.04.022

38. S.K. Jha, R.D.S. Yadava, Denoising by singular value decomposition and Its application to electronic nose data processing, IEEE Sensors, Vol. 11, Issue 1, pp. 35-44, 2011, Impact Factor 4.325 (Q1), https://doi.org/10.1109/JSEN.2010.2049351

39. S.K. Jha, R.D.S. Yadava, Development of surface acoustic wave electronic nose, Defence Science Journal, Vol. 60, Issue 4, pp. 367-376, 2010, Impact Factor 0.667 (Q3), https://doi.org/10.14429/dsj.60.493

40. S.K. Jha, R.D.S. Yadava, Preprocessing of SAW sensor array data and pattern recognition, IEEE Sensors, Vol. 9, Issue 10, pp. 1202-1208, 2009, Impact Factor 4.325 (Q1), https://doi.org/10.1109/JSEN.2009.2029452

41. S. Andleeb, S. Bao, Z. Ahmad, S.K. Jha*, A hybrid machine learning approach in modeling the impact of chromium concentration in blood and gonads on the concentration of the reproductive hormones of Urva auropunctatus, Measurement, Vol. 174, 109055, 2021, Impact Factor 5.6 (Q1), https://doi.org/10.1016/j.measurement.2021.109055

42. L.K. Srivastav, S.K. Jha*, A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19 in India, Applied Intelligence, Vol. 51, pp. 2727–2739 2020, Impact Factor 5.019 (Q2), https://doi.org/10.1007/s10489-020-01997-6

43. J. Zhang, S.K. Jha*, C. Liu, K. Hayashi, Tracing of chemical components of odor in Peels and flesh from ripe banana on a daily basis using GC-MS characterization and statistical analysis for quality monitoring during storage, Food Analytical Methods, Vol. 12, Issue 4, 2019, pp. 947-955, Impact Factor 2.9 (Q2), https://doi.org/10.1007/s12161-019-01435-5

44. Z. Ahmad, D. Crowley, N. Marina, S.K. Jha*, Estimation of biosurfactant yield produced by Klebseilla sp. FKOD36 bacteria using artificial neural network approach, Measurement, 81, 163-173, 2016, Impact Factor 5.6 (Q1), https://doi.org/10.1016/j.measurement.2015.12.019

45. X. Zhang, S. Li, W. Sun, Z. Wang, H. Zhang, and S.K. Jha, Effective simulation of nonlinear soft tissue deformation for interactive medical applications: An enhanced XPBD technique. Biomedical Signal Processing and Control, 113, 108934, 2026, Impact Factor 4.9 (Q1), https://doi.org/10.1016/j.bspc.2025.108934

46. X. Zhang, R. Jiang, W. Sun, and S.K. Jha, S.K., FPGP: Increasing Robustness of Flow-based Watermarking to Unknown Noise through Feature Preservation and Gradient Perturbation. IEEE Transactions on Circuits and Systems for Video Technology, 2025, Impact Factor 11.1 (Q1), https://doi.org/10.1109/TCSVT.2025.3603195

47. G. Jiang, G., Z. Li, Z., H. Wang, S.K. Jha, Quantum Secure Clockwise Sorting. Int J Theor Phys 63, 141 (2024), Impact Factor 1.7 (Q3), https://doi.org/10.1007/s10773-024-05676-x

48. X. Zhang, R. Jiang, W. Sun, S. K. Jha, A novel noiselayer-decoder driven blind watermarking network, Displays, Vol. 85, December 2024, Impact Factor 3.7 (Q2), https://doi.org/10.1016/j.displa.2024.102823

49. X. Zhang, Z. Wang, W. Sun, S.K. Jha, C. Yuan, Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery, Biomedical Signal Processing and Control, Vol. 95, Part A, September 2024, Impact Factor 4.9 (Q1), https://doi.org/10.1016/j.bspc.2024.106290

50. X. Zhang, C. Yuan, W. Sun, S.K. Jha, Image Emotion Classification Network Based on Multilayer Attentional Interaction, Adaptive Feature Aggregation, Computers, Materials & Continua, Vol. 75, Issue 2, pp. 4273-4291, 2023 Impact Factor 3.86 (Q2), https://doi.org/10.32604/cmc.2023.036975

51. R. Wen, J. Zhou, Z. Shen, X. Zhang, S.K. Jha, COVID TCL: A Joint Metric Loss Function for Diagnosing COVID-19 Patient in the Early and Incubation Period, Computer Systems Science & Engineering, Vol. 47. Issue 1, 2023, Impact Factor 3.772 (Q1), https://doi.org/10.32604/csse.2023.037889

52. X. Zhang, W. Zhang, W. Sun, X. Sun, S.K. Jha, A Robust 3-D medical watermarking based on wavelet transform for data protection, Computer Systems Science & Engineering, Vol. 41, Issue 3, 2022, Impact Factor 3.772 (Q1), https://doi.org/10.32604/csse.2022.022305

53. X. Zhang, X. Sun, X. Sun, W. Sun, S.K. Jha, Robust Reversible Audio Watermarking Scheme for Telemedicine and Privacy Protection, Computers, Materials & Continua Vol. 71, Issue, 2, 2022, 3035-3050, Impact Factor 3.86 (Q2), https://doi.org/10.32604/cmc.2022.022304

54. X. Zhang, X. Sun, W. Sun, T. Xu, P. Wang, S.K. Jha, Deformation Expression of Soft Tissue Based on BP Neural Network, Intelligent Automation and Soft Computing, Vol. 32, Issue 2, 2022, 1041-1053, Impact Factor 2.34 (Q3), https://www.techscience.com/iasc/v32n2/45571/pdf/bibtex

55. J. Wang, W. Huang, X. Luo, Y. Shi, S.K. Jha, Detecting Non-Aligned Double JPEG Compression Based on Amplitude-Angle Feature, ACM Transactions on Multimedia Computing, Communications, and Applications, Vol. 17, Issue 4, pp. 1-18, 2021, Impact Factor 4.094 (Q1), http://dx.doi.org/10.1145/3464388

56. H. Wang, J. Wang, X. Luo, Y. Zheng, B. Ma, J. Sun, S.K. Jha, Detecting aligned double JPEG compressed color image with same quantization matrix based on the stability of image, IEEE Transactions on Circuits and Systems for Video Technology, Volume 32, Issue 6, pp. 4065-4080, 2021, Impact Factor 5.859 (Q1), https://doi.org/10.1109/TCSVT.2021.3111195

57. X. Zhang, J. Duan, W. Sun, T. Xu, S.K. Jha, A three-stage cutting simulation system based on mass-spring model, Computer Modeling in Engineering & Sciences, Vol. 127, Issue 1, pp. 117-133, Impact Factor 2.027 (Q3), https://doi.org/10.32604/cmes.2021.012034

58. J. Niu, Y. Fu, Q. Hu, S. Yang, T. Zhang, S.K. Jha, A 3D measurement method based on coded image, Computers, Materials & Continua, Vol. 69, Issue 2, 2021, pp. 1839-1849, Impact Factor 3.86 (Q2), https://www.techscience.com/cmc/v69n2/43869/pdf

59. X. Zhang, T. Xu, W. Sun, J. Duan, S.K. Jha, A Soft Tissue Acupuncture Model Based on Mass-Spring Force Net, Computers, Materials & Continua Vol. 69, Issue 1, 2021, pp. 727-745, Impact Factor 3.86 (Q2), https://doi.org/10.32604/cmc.2021.018182

60. J. Niu, Q. Hu, Y. Niu, T. Zhang, S.K. Jha, Real-time dense reconstruction of indoor scene, Computers, Materials & Continua, Vol. 68, Issue 3, 2021, pp. 3713-3724, Impact Factor 3.86 (Q2), https://doi.org/10.32604/cmc.2021.017418

61. J. Niu, Q. Hu, Y. Niu, T. Zhang, S.K. Jha, Real-time recognition and location of indoor objects, Computers, Materials & Continua, Vol .68, Issue 2, 2021, pp. 2221-2229, Impact Factor 3.86 (Q2), https://doi.org/10.32604/cmc.2021.017073

62. X. Zhang, H. Wu, W. Sun, A. Song, S.K. Jha, A Fast and Accurate Vascular Tissue Simulation Model Based on Point Primitive Method, Intelligent Automation and Soft Computing, 27(2), 2021, 873-889, Impact Factor 3.401 (Q3), https://doi.org/10.32604/iasc.2021.013541

63. J. Wang, J. Zhao; Q. Yin, X. Luo, Y. Zheng, Y.Q. Shi, S.K. Jha, SmsNet: A new deep convolutional neural network model for adversarial example detection, IEEE Transactions on Multimedia, Vol. 24, 2021, pp. 230-244, Impact Factor 8.182 (Q1), https://doi.org/10.1109/TMM.2021.3050057

64. Q. Li, L. Zhang, L. Zhang, S.K. Jha, Exploring multi-level motivations towards green design practices: a system dynamics approach, Sustainable Cities and Society, Volume 64, January 2021, 102490, Impact Factor 10.696 (Q1), https://doi.org/10.1016/j.scs.2020.102490

65. P. Li, L. Zhu, B.B. Gupta, S.K. Jha, A Multi-conditional proxy broadcast re-encryption scheme for sensor networks, Computers, Materials & Continua, Vol. 65, Issue 3, pp. 2079-2090, 2020, Impact Factor 3.86 (Q2), https://doi.org/10.32604/cmc.2020.013696

66. S. Andleeb, Z. Ahmad, T. Mahmood, S. Bao, A.A. Saeed, S.K. Jha, Evaluating toxicity impacts of environmental exposed chromium on small Indian mongoose (Urva auropunctatus) hematological, biochemical and histopathological functioning, Chemosphere, 259, 2020, Impact Factor 8.943 (Q1), https://doi.org/10.1016/j.chemosphere.2020.127485

67. J. Wang, Q. Ni, Y. Zhang, X. Luo, Y. Shi, J. Zhai, S.K. Jha, Median filtering detection based on quaternion convolutional neural network, Computers, Materials & Continua, Vol. 65, Issue 1, pp. 929-943, 2020, Impact Factor 3.86 (Q2), https://doi.org/10.32604/cmc.2020.06569

68. P. Yu, Z. Xia, J. Fei, S.K. Jha, An Application Review of artificial intelligence in prevention and cure of COVID-19 pandemic, Computers, Materials & Continua, Vol. 65, Issue 1, pp. 743-760, 2020, Impact Factor 3.86 (Q2), https://doi.org/10.32604/cmc.2020.011391

69. X. Zhang, W. Zhang, W. Sun, T. Xu, S.K. Jha, A robust watermarking scheme Based on ROI and IWT for Remote Consultation of COVID-19, Computers, Materials & Continua, Vol. 64, Issue 3, pp. 1436-1492, 2020, Impact Factor 3.86 (Q2), http://dx.doi.org/10.32604/cmc.2020.011359

70. J. Wang, Q. Ni, G. Liu, X. Luo, S.K. Jha, Image splicing detection based on convolutional neural network with weight combination strategy, Journal of Information Security and Applications, Vol. 54, 2020, 102523, Impact Factor 4.96 (Q1), http://dx.doi.org/10.1016/j.jisa.2020.102523

71. J. Wang, W. Huang, X. Luo, Y.Q. Shi, S.K. Jha, Non-aligned double JPEG compression detection based on refined Markov features in QDCT domain, Journal of Real-Time Image Processing, Vol. 17, 2019, pp. 7-16, Impact Factor 3.0 (Q2), https://link.springer.com/article/10.1007/s11554-019-00929-z

72. Q. Yin, J. Wang, X. Luo, J. Zhai, S.K. Jha, Y. She, Quaternion convolutional neural network for color image classification and forensics, IEEE Access, Vol. 7, Issue 1, 2019, pp. 20293-20301, Impact Factor 3.9 (Q1), https://doi.org/10.1109/ACCESS.2019.2897000

73. H. Gu, Y. Cao, E. Elahi, S.K. Jha, Human health damages related to air pollution in China, Environmental Science and Pollution Research, Vol. 26, Issue 13, 2019, pp. 13115-13125, Impact Factor 5.19 (Q1), https://doi.org/10.1007/s11356-019-04708-y

74. X. Zhang, J. Duan, W. Sun, S.K. Jha, A tumour perception system based on a multi-layer mass-spring model, International Journal of Sensor Networks, Vol. 31, Issue 1, 2019, pp. 24-32, Impact Factor 1.264 (Q3), https://doi.org/10.1504/IJSNET.2019.101567

75. J. Wang, H. Wang, J. Li, X. Luo, Y.Q. Shi, S.K. Jha, Detecting double JPEG compressed color images with the same quantization matrix in spherical coordinates, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 7, 2019, pp. 113094-113102, Impact Factor 5.859 (Q1), https://doi.org/10.1109/TCSVT.2019.2922309

76. J. Wang, Y. Li, J. Li, X. Luo, Y.Q. Shi, S.K. Jha, Color image-spliced localization based on quaternion principal component analysis and quaternion skewness, Journal of Information Security and Applications, Vol. 47, 2019, pp. 353-362, Impact Factor 4.96 (Q1), https://doi.org/10.1016/j.jisa.2019.06.004

77. J. Wang, G. Wu, J. Li, S.K. Jha, A new method estimating linear Gaussian filter kernel by image PRNU noise, Journal of Information Security and Applications, Vol. 44. 2019, pp. 1-11, Impact Factor 4.96 (Q1), https://doi.org/10.1016/j.jisa.2018.11.002

78. E. Elahi, C. Weijun, S.K. Jha, H.K. Zhang, Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilizing an artificial neural network method: a step towards livestock sustainability, Energy, Vol. 183, 2019, pp. 191-204, Impact Factor 8.857 (Q1), https://doi.org/10.1016/j.energy.2019.06.084

79. J. Wang, T. Li, X. Luo, Y. Shi, R. Liu, S.K. Jha, Identifying Computer Generated Images Based on Quaternion Central Moments in Color Quaternion Wavelet Domain, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 29, Issue 9, 2018, pp. 2775-2785, Impact Factor 5.859 (Q1), https://doi.org/10.1109/TCSVT.2018.2867786

80. M. Imahashi, M. Watanabe, S.K. Jha, K. Hayashi, Olfaction inspired sensing using a sensor system with molecular recognition and optimal classification ability for comprehensive detection of gases, Sensors, Vol. 14, 2014, pp. 5221-5238, Impact Factor 3.847 (Q1), https://doi.org/10.3390/s140305221

81. A. Pandey, R. Prasad, V.P. Singh, S.K. Jha, K.K. Shukla, Crop parameter estimation by fuzzy inference system using X-band scatterometer data, Advances in Space Research, Vol. 51, Issue 5, pp. 905-911, 2013, Impact Factor 2.611 (Q2), https://doi.org/10.1016/j.asr.2012.10.018

82. S.K. Singh, S.K. Jha, A. Chaudhary, R.D.S. Yadava, S.B. Rai, Quality control of herbal medicines by using spectroscopic techniques and multivariate statistical analysis, Pharmaceutical Biology, 48 (2), 134-1471, 2010, Impact Factor 3.889 (Q1), https://doi.org/10.3109/13880200903059388

Other Peer Reviewed and Open-Access Papers

83. SK Jha*, Y Chiyomaru, M Imahashi, C Liu, K Hayashi, Odor filtering and sensing system based artificial nose for chemical vapor class recognition, Sensor letters Vol. 12, Issue 1, pp. 1-16, 2014, https://doi.org/10.1166/sl.2014.3217

84. S.K. Jha*, R.D.S. Yadava, Data mining approach to polymer selection for making SAW sensor array based electronic nose, Sensors & Transducers, Vol. 147, Issue 12, pp. 108-128, 2012, https://www.sensorsportal.com/HTML/DIGEST/december_2012/P_1089.pdf

85. S.K. Jha*, R.D.S. Yadava, Designing optimal surface acoustic wave electronic nose for body odor discrimination, Sensor Letters, Vol. 9, Issue 5, pp. 1612-1622, 2011, https://doi.org/10.1166/sl.2011.1740

86. S.K. Jha*, R.D.S. Yadava, Performance assessment of PCA, MF and SVD Methods for denoising in chemical sensor array based electronic nose system, Sensors & Transducers, Vol. 129, Issue 6, pp. 57-68, 2011, https://www.sensorsportal.com/HTML/DIGEST/june_2011/P_811.pdf

87. S.K. Jha*, R.D.S Yadava, Power scaling of chemiresistive sensor array data for odor classification, Journal of Pattern Recognition Research, Vol. 6, Issue 1, pp. 65-74, 2011, http://www.jprr.org/index.php/jprr/article/view/247/86

88. J.K., Srivastava, P. Pandey, S.K. Jha, V. N. Mishra, R. Dwivedi, Chemical vapor identification by plasma treated thick film tin oxide gas sensor array and pattern recognition, Sensors & Transducers, Vol. 125, Issue 2, pp. 42-53, 2011, https://www.sensorsportal.com/HTML/DIGEST/P_749.htm

89. L. Zhang, S.K. Jha, Z. Yang, Z. Zhao, B.N. Tiwari, Machine intelligence in signal sensing, processing, and recognition, Journal of Electrical and Computer Engineering, 2017, https://doi.org/10.1155/2017/6168207

90. R. Prasad, A. Pandey, S.K. Jha, K.P. Singh, G.S. Yadav, Classification of fields having different soil moisture content by SVM technique using bistatic scatterometer, Recent Research in Science and Technology, Vol. 3, Issue 1, pp. 105-113, 2011, https://updatepublishing.com/journal/index.php/rrst/article/view/580

91. A Pandey, SK Jha, JK Srivastava, R Prasad, Artificial neural network for the estimation of soil moisture and surface roughness, Russian Agricultural Sciences, Vol. 36, Issue 6, pp. 428-432, 2010, https://doi.org/10.3103/S106836741006011X

92. A. Pandey, S.K. Jha, R. Prasad, Retrieval of crop parameters of spinach by radial basis neural network approach using X-band scatterometer data, Russian Agricultural Sciences, Vol. 36, Issue 4, pp. 312-315, 2010, https://doi.org/10.3103/S1068367410040245

93. A. Pandey, R. Prasad, S.K. Jha, Classification of two different rough soil surfaces by using microwave X-band data through support vector machine (SVM), Russian Agricultural Sciences, Vol. 36, Issue 2, pp. 141-145, 2010, https://doi.org/10.3103/S1068367410020205

94. P. Bindal, U. Bindal, M. Kazemipoor, S.K. Jha, Hybrid machine learning approaches in viability assessment of dental pulp stem cells treated with platelet-rich concentrates on different periods, Applied Medical Informatics, Vol. 41, Issue 3, pp. 93-101, 2019, https://ami.info.umfcluj.ro/index.php/AMI/article/view/682

Conference Presentation

95. S.K. Jha*, Kenshi Hayashi, Optimized KPCA method for chemical vapor class recognition by SAW sensor array response analysis, IEEE-ISSNIP, 2014, Singapore, https://doi.org/10.1109/ISSNIP.2014.6827590

96. S.K. Jha*, M. Imahashi, K. Hayashi, T. Takamizawa, Data fusion approaches for human body odor discrimination using GC-MS spectra, IEEE-ISSNIP, 2014 Singapore, https://doi.org/10.1109/ISSNIP.2014.6827592

97. S.K. Jha*, K. Hayashi, SAW sensor array data fusion for chemical class recognition of volatile organic compounds, CEEE, 2013, Mumbai, India, https://doi.org/10.5120/13859-1706

98. S.K. Jha*, R.D.S. Yadava, Detection of outliers in surface acoustic wave (SAW) chemical sensor array responses by one-class support vector machine, IEEE-RAICS, 2011, Trivandrum, India, https://doi.org/10.1109/RAICS.2011.6069438

99. S.K. Jha*, R.D.S. Yadava, Statistical pattern analysis assisted selection of polymers for odor sensor array electronic nose for human body odor detection, IEEE-ICCCN, 2011, Tamilnadu India, https://doi.org/10.1109/ICSCCN.2011.6024617

100. S.K. Jha*, R.D.S Yadava, Pattern recognition methods for SAW sensor array based electronic nose, IEEE-ICCIC, 2010, Tamilnadu, India, https://doi.org/10.1109/ICCIC.2010.5705774

101. L. Zhang, S.K. Jha, T. Liu, G. Pei, Discriminative kernel transfer learning via l2, 1-norm minimization, IEEE-IJCNN, 2016 (Vancouver, Canada), https://doi.org/10.1109/IJCNN.2016.7727474

Book/Book Chapters

102. S.K. Jha*, P. Paramasivam, Z. Pan, J. Wang, Decision Stump and StackingC-based hybrid algorithm for healthcare data classification. In: Sun X., Pan Z., Bertino E. (eds.) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science, Vol. 11067, pp 205–216. Springer, 2018, https://doi.org/10.1007/978-3-030-00018-9_19

103. S.K. Jha*, Molecular imprinted polymers for chemical vapor sensing in human body odor, in Advanced Molecular Imprinting Materials, Chapter 14, Wiley Scrivener Publishing LLC, USA, pp. 561-624, 2016, https://doi.org/10.1002/9781119336181.ch14

Patents/Copyrights

104. R. Shanmugam, T. Kannapiran, A.K. Gupta, M. Kandasamy, S.K. Jha, P. Bilgaiyan, K.K. Singh, Design system of automated X-ray image recognition system for patients using DCNN, Indian Patent, Published on 7th January 2022.

1. Development of data fusion methodologies for EEG and fMRI signal processing in early detection of Alzheimer disease, June 2017-May 2018, 22900 PLN (DS_01_2017), University of Information Technology and Management and Ministry of Science and Higher Education Poland.

2. Development of chemical biomarker database in biometric and medical applications, June 2017-May 2018, 24200 PLN (DS_02_2017) University of Information Technology and Management and Ministry of Science and Higher Education Poland.

3. Development of intelligent information processing system based on data fusion and hybrid approaches for different applications, October 2017-September 2020, 100000 RMB (2017 r/03 Start-up fund) Nanjing University of Information Science and Technology, Nanjing, China.

• IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), In Advanced Learning for Large-scale Heterogeneous Data in Intelligent Vision and Olfaction Systems in IEEE SSCI 2016, Greece.
• A workshop on Advanced Data Analytics and Applications, In 4th International Conference on Cloud Computing and Security (ICCCS 2018), Haikou, China.
• Co-Co-Ordinator of Workshop, International GIS Day–2022, Sustainable Infrastructure Development using Geoinformatics 2022, ISG-AC, Ahmedabad, Adani University, Ahmedabad, Space Applications Centre (SAC), ISRO, Ahmedabad, India.
• LaTeX Training Programme for Faculty and Research Scholars at Adani University, Ahmedabad, India, August 2023.
• SCOPE (An English Language Competition in Collaboration with Government of Gujarat) at Adani University, Ahmedabad, India, September 2023.
• Effective Research Writing Workshop, at Adani University, Ahmedabad, India, November 2025.
• Cyber Samwad 2025 at Adani University, Ahmedabad, India, November 2025.

• Adani Digital Learning Perspectives 2022-23, Top Digital learners Award, May 2023.
• Rector and Chancellor’s Award 2018 for Research, University of Information Technology and Management Rzeszow, Poland, October 2018.
• Honorable Mention Award, ICCCS 2018 (International Conference on Cloud Computing and Security), Haikou, China, June 2018.
• Japan Society for Promotion of Science (JSPS) Post-Doctoral Fellowship, Japan Society for Promotion of Science, Gov. of Japan September 2012-August 2014.
• S. Kothari Post-Doctoral Fellowship University Grant Commission, New Delhi, Gov. of India, August 2012-July 2015
• Senior Research Fellowship Council of Scientific and Industrial Research (CSIR), Govt. of India, April 2011− July 2012
• Senior Research Fellowship Directorate of Forensic Science (DFS), Gov. of India May 2009− March 2011.
• Junior Research Fellowship Directorate of Forensic Science (DFS), Gov. of India, April 2007−April 2009

• Scopus: https://www.scopus.com/authid/detail.uri?authorId=57221974224
• Web of Science: https://www.webofscience.com/wos/author/record/C-1511-2012
• G-Scholar: http://scholar.google.co.in/citations?user=2l2wQhQAAAAJ&hl=en
• Orcid: http://orcid.org/0000-0002-6955-1244
• Dblp: https://dblp.org/pid/189/4530.html
• IRINS: https://adaniuni.irins.org/profile/273304
• Research Gate: https://www.researchgate.net/profile/Sunil_Jha/?ev=hdr_xprf
• LinkedIn: https://www.linkedin.com/in/dr-sunil-kumar-jha-5a113722

• Human body odor datamining University of Chemistry and Technology, Prague, Czech Republic, September 2023
• International Conference on Intelligent Manufacturing, Advanced Sensing and Big Data, IMASBD, Guilin, China, December 2022.
• Data mining for pattern recognition in different domains a specific role in human body odor discrimination, School of Information Science and Technology, Shandong Normal University, Jinan, China, June 2017.
• Basics of Neural Network Learning and Applications School of Information Technology and Engineering, ADA University, Baku, Azerbaijan, June 2016.
• Chemical Sensor Array Signal Processing Department of Chemistry, Hanyang National University, Seoul, South Korea, July, 2014

• Atmosphere (Impact Factor 2.9, SCIE Indexed)
• Journal of Electronic Imaging (Impact Factor 0.9, SCI, Indexed)
• Algorithms (Impact Factor 2.3, SCIE, Indexed)
• Data (Impact Factor 2.6, SCIE, Indexed)
• Information (Impact Factor 3.1, SCIE, Indexed)
• Mathematics (Impact Factor 3.1, SCIE, Indexed)
• Symmetry (Impact Factor 2.7, SCIE, Indexed)
• Frontiers in Psychiatry (Impact Factor 4.7, SCIE, Indexed)
• Current Chinese Science: Computer Science, Bentham Publication, Sharjah, United Arab Emirates
• The Chinese Journal of Artificial Intelligence, Sharjah, United Arab Emirates
• Science Progress and Research (SPR), UK Zhende Publishing Limited, UK
• Journal of Machine Learning Theory, Applications and Practice, River Publishers, USA

• International Workshop ” CHEMICAL ANALYSIS OF HUMAN SCENT FOR FORENSIC PURPOSES” on 22nd September 2023, University of Chemistry and Technology, Prague, Czech Republic.
• 5th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, February 28, 2020, Zhuhai, China.
• International Conference on Chemical Machinery and Control Engineering, April 10, 2020, Hangzhou, China.
• 6th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, March 12-14, 2021, Nanjing, China.
• International Conference on Power Electronics and Advanced Control, December 3, 2021, Harbin, China.

• IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks, and Information Processing (ISSNIP) 2014, Singapore.
• Publication Chair of International Conference, 3rd International Conference on Computer Network Security and Software Engineering (CNSSE 2023), Harbin, China.