Draft:Ram Bilas Pachori

Ram Bilas Pachori (born 1979) is a professor in the Department of Electrical Engineering at the Indian Institute of Technology Indore, India . His research interests include signal processing, image processing, biomedical signal processing, non-stationary signal processing, speech signal processing, brain-computer interfaces, machine learning, artificial intelligence and Internet of things in healthcare.

Education
He received the Bachelor of Engineering (B.E.) degree with honours in electronics and communication engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India, in 2001, the Master of Technology (M.Tech.) and Doctor of Philosophy (Ph.D.) degrees in Electrical Engineering from Indian Institute of Technology Kanpur, India, in 2003 and 2008, respectively .

Career
Pachori was a post-doctoral fellow at the Charles Delaunay Institute, University of Technology of Troyes, France from 2007 to 2008 before becoming an assistant professor at the Communication Research Center, International Institute of Information Technology, Hyderabad, India, from 2008 to 2009.

He was an assistant professor at the Department of Electrical Engineering, IIT Indore, from 2009 to 2013 before being promoted to associate professor from 2013 to 2017. He has been a professor in the same department since 2017 and is affiliated with the Center for Advanced Electronics at IIT Indore

In addition to his roles in India, he has been a visiting professor at various institutions, including the Department of Computer Engineering, Modeling, Electronics and Systems Engineering at the University of Calabria in Italy in July 2023 and the Faculty of Information & Communication Technology at the University of Malta from June to July 2023. He worked at the Neural Dynamics of Visual Cognition Lab at the Free University of Berlin, Germany from July to September 2022 and at the School of Medicine, Faculty of Health and Medical Sciences at Taylor's University, Malaysia, from 2018 to 2019 Earlier, in December 2014, he was a visiting scholar at the Intelligent Systems Research Center, Ulster University, Londonderry .

He has authored a total of 339 publications, comprising 213 journal articles, 89 conference papers, 10 books, and 27 book chapters. He holds eight patents, which include one granted patent in Australia and seven published patents in India.

He is an associate editor of the IEEE Open Journal of Engineering in Medicine and Biology, Computers and Electrical Engineering (Elsevier) Electronics Letters and Biomedical Signal Processing and Control (Elsevier).

He is a fellow of the Institution of Engineering and Technology , Institution of Electronics and Telecommunication Engineers and the Institution of Engineers .

According to Google Scholar , Web of Science , and Scopus , his research work has been cited 16800, 10568 , and 13478 times respectively. <!--

Books

 * Artificial intelligence enabled signal processing based models for neural information processing, CRC Press, June, 2024....


 * Signal processing driven machine learning techniques for cardiovascular data processing, Elsevier, June, 2024.


 * Time-frequency analysis techniques and their applications, CRC Press, May, 2023.


 * Machine intelligence techniques for data analysis and signal processing: Proceedings of the 4th international conference MISP 2022, Volume 1, Springer, May, 2023.


 * AI-enabled smart healthcare using biomedical signals, IGI Global, May, 2022.


 * Pattern recognition and data analysis with applications, Springer, September, 2022.


 * Intelligent data analytics for terror threat prediction: Architectures, methodologies, techniques and applications, Wiley-Scrivener, January, 2021


 * Handbook of research on advancement of artificial intelligence in healthcare engineering, IGI Global, February, 2020


 * Machine intelligence and signal analysis, Advances in Intelligent Systems and Computing, Springer, August, 2019

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 * Non-stationary signal analysis: Methods based on Fourier-Bessel representation, LAP LAMBERT Academic Publishing, Saarbrucken, Germany, December, 2010

Books

 * Tripathy, R.K.; Pachori, R.B. (2024). Artificial Intelligence Enabled Signal Processing Based Models for Neural Information Processing. CRC Press. doi:10.1201/9781003479970.
 * Tripathy, R.K.; Pachori, R.B. (Eds.) (2024). Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing. Elsevier. ISBN 9780443141416.
 * Pachori, R.B. (2023). Time-Frequency Analysis Techniques and Their Applications. CRC Press.
 * Sisodia, D.S.; Garg, L.; Pachori, R.B.; Tanveer, M. (Eds.) (2023). Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1. Springer. ISBN 9789819900848.
 * Chaurasiya, R.K.; Agrawal, D.K.; Pachori, R.B. (2022). AI-Enabled Smart Healthcare Using Biomedical Signals. IGI Global. ISBN 9781668439470.
 * Gupta, D.; Goswami, R.S.; Banerjee, S.; Tanveer, M.; Pachori, R.B. (2022). Pattern Recognition and Data Analysis with Applications. Springer. ISBN 9789811915192.
 * Pani, S.K.; Singh, S.K.; Pachori, R.B.; Garg, L.; Zhang, X. (2021). Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques and Applications. Wiley-Scrivener. ISBN 9781119711094.
 * Sisodia, D.S.; Pachori, R.B.; Garg, L. (Eds.) (2020). Handbook of Research on Advancement of Artificial Intelligence in Healthcare Engineering. IGI Global. ISBN 9781799821205.
 * Tanveer, M.; Pachori, R.B. (2019). Machine Intelligence and Signal Analysis. Springer. ISBN 9789811309236.
 * Pachori, R.B.; Sircar, P. (2010). Non-Stationary Signal Analysis: Methods Based on Fourier-Bessel Representation. LAP LAMBERT Academic Publishing. ISBN 9783843388078.