Jump to content

Draft:Ram Bilas Pachori

From Wikipedia, the free encyclopedia
  • Comment: Please freaking read the feedback left by the other reviewers, non of the sources are independent non-trivial coverage of the professor's papers. Sohom (talk) 00:07, 8 September 2024 (UTC)
  • Comment: Well done on creating the draft, and it may potentially meet the relevant requirements (including WP:GNG, WP:ANYBIO, WP:NPROF, WP:AUTHOR) but presently it is not clear that it does.
    As other reviewers have noted, Wikipedia's basic requirement for entry is that the subject is notable. Essentially subjects are presumed notable if they have received significant coverage in multiple published secondary sources that are reliable, intellectually independent of each other, and independent of the subject. To properly create such a draft page, please see the articles ‘Your First Article’, ‘Referencing for Beginners’ and ‘Easier Referencing for Beginners’.
    Please note that many of the references are not from sources that are considered reliable for establishing notability.
    Also, if you have any connection to the subject, including being paid, you have a conflict of interest that you must declare on your Talk page (to see instructions on how to do this please click the link).
    Please familiarise yourself with these pages before amending the draft. If you feel you can meet these requirements, then please make the necessary amendments before resubmitting the page. It would help our volunteer reviewers by identifying, on the draft's talk page, the WP:THREE best sources that establish notability of the subject.
    It would also be helpful if you could please identify with specificity, exactly which criteria you believe the page meets (eg "I think the page now meets WP:NPROF criteria #3, because XXXXX").
    Once you have implemented these suggestions, you may also wish to leave a note for me on my talk page and I would be happy to reassess. Cabrils (talk) 08:11, 24 July 2024 (UTC)
  • Comment: It is not helpful for the URL to take the reader to the home page of an institution's website where there's no mention of Pachori.
    Please update the URLs in the references to take the reader to a page where they can verify the statement that the reference is there to support. Curb Safe Charmer (talk) 11:56, 17 July 2024 (UTC)
  • Comment: Is WP:RESUME still. Saw the previous AfD comment.
    I think this person probably is notable for WP:ACADEMIC by citation count, but the sourcing is not enough in this article.
    Please find sourcing that is independent of the author (not written by the author). Sources 10-19 are not useful as references and should be put into a bibliography or works page. see Malcolm_Gladwell#Bibliography Bluethricecreamman (talk) 03:23, 17 July 2024 (UTC)

Ram Bilas Pachori (born 1979), a Senior Member of the IEEE, is a professor in the Department of Electrical Engineering at the Indian Institute of Technology Indore, India[1] [2]. 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.[3][4]

Career

[edit]

He has authored a total of 343 publications, comprising 216 journal articles, 89 conference papers, 10 books, and 28 book chapters.[5] He holds eight patents, which include one granted patent in Australia and seven published patents in India.[6] He is a fellow of the Institution of Engineering and Technology.[7] [8] , Institution of Electronics and Telecommunication Engineers[9] [10] and the Institution of Engineers[11]. He has got IETE - Prof SVC Aiya Memorial Award in the year 2021[12]

Pachori pioneered the development of the relation between frequency domain and order of the Fourier-Bessel series expansion (FBSE) coefficients[13]. This also has led to applicability of the FBSE for analyzing nonstationary signals [14] [15] . Further, using the concept of FBSE, his seminal work successfully implemented cross-term reduction technique in Wigner-Ville distribution for the first time in literature[16] . He has also extended the FBSE based methods for the analysis and processing of biomedical images[17] [18] [19] . He has also proposed multiresolution analysis tools based on FBSE for biomedical signals and images[20] [21] .

According to Google Scholar[22] , Web of Science[23] , and Scopus[24] , his research work has been cited 17139, 10774 , and 13678 times respectively.

Bibliography

[edit]

Books

[edit]
  • 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.
[edit]

References

[edit]
  1. ^ "Title of the Talk". IIT Mandi. Retrieved July 22, 2024.
  2. ^ "Faculty - Electrical Engineering". Indian Institute of Technology Indore. Retrieved 2024-07-17.
  3. ^ "Dr. Ram Bilas Pachori's Personal Webpage". Indian Institute of Technology Indore. Retrieved 2024-07-17.
  4. ^ "Speakers - ICSC21 Conference". Jaypee Institute of Information Technology. Retrieved July 22, 2024.
  5. ^ "Profile on Vidwan". Vidwan. Retrieved 2024-07-17.
  6. ^ "ORCID Profile". ORCID. Retrieved 2024-07-17.
  7. ^ "Keynote Talks and Tutorials - IATMSI Conference". IIITM Gwalior. Retrieved July 22, 2024.
  8. ^ "FIET Details" (PDF). IIT Indore. Retrieved 17 July 2024.
  9. ^ "IEEE Event Page". IEEE. Retrieved July 22, 2024.
  10. ^ "IETE Newsletter Vol 19 No 2, May-August 2017" (PDF). IETE. Retrieved 17 July 2024.
  11. ^ "Resume of Dr. Pachori" (PDF). Indian Institute of Technology Indore. Retrieved 7 September 2024.
  12. ^ "Awardees - 2021" (PDF). COEMPT. Retrieved 7 September 2024.
  13. ^ Pachori, R.B.; Sircar, P. (February 2008). "EEG signal analysis using FB expansion and second-order linear TVAR process". Signal Processing. 88 (2): 415–420. doi:10.1016/j.sigpro.2007.07.022. Retrieved 7 September 2024.
  14. ^ Pachori, Ram Bilas; Sircar, Pradip (November 2009). "Analysis of multicomponent AM-FM signals using FB-DESA method". Digital Signal Processing. 19 (6): 982–993. doi:10.1016/j.dsp.2009.04.013. Retrieved 7 September 2024.
  15. ^ Bhattacharyya, Abhijit; Singh, Lokesh; Pachori, Ram Bilas (July 2018). "Fourier–Bessel series expansion based empirical wavelet transform for analysis of non-stationary signals". Digital Signal Processing. 82: 258–267. doi:10.1016/j.dsp.2018.02.020. Retrieved 7 September 2024.
  16. ^ Pachori, Ram Bilas; Sircar, Pradip (March 2007). "A new technique to reduce cross terms in the Wigner distribution". Digital Signal Processing. 17 (2): 466–474. doi:10.1016/j.dsp.2006.10.004. Retrieved 7 September 2024.
  17. ^ Chaudhary, Pradeep Kumar; Pachori, Ram Bilas (August 2024). "Differentiation of Benign and Malignant Masses in Mammogram Using 2D-Fourier-Bessel Intrinsic Band Functions and Improved Feature Space". IEEE Transactions on Artificial Intelligence. 1: 1–10. doi:10.1109/TAI.2024.3396800. Retrieved 7 September 2024.
  18. ^ Chaudhary, P.K.; Gupta, V.; Pachori, R.B. (April 2023). "Fourier-Bessel representation for signal processing: A review". Digital Signal Processing. 135: 1–23. doi:10.1016/j.dsp.2023.103938. Retrieved 7 September 2024.
  19. ^ Chaudhary, Pradeep Kumar; Pachori, Ram Bilas. "Automatic Diagnosis of Different Grades of Diabetic Retinopathy and Diabetic Macular Edema Using 2-D-FBSE-FAWT". IEEE Transactions on Instrumentation and Measurement. 71. IEEE. Retrieved 7 September 2024.
  20. ^ Chaudhary, P.K.; Pachori, R.B. (July 2021). "FBSED based automatic diagnosis of COVID-19 using X-ray and CT images". Computers in Biology and Medicine. 134: 1–13. doi:10.1016/j.compbiomed.2021.104454. Retrieved 7 September 2024.
  21. ^ Chaudhary, P.K.; Pachori, R.B. (February 2021). "Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform". Biomedical Signal Processing and Control. 64: 1–17. doi:10.1016/j.bspc.2020.102237. Retrieved 7 September 2024.
  22. ^ "Google Scholar Profile". Google Scholar. Retrieved July 22, 2024.
  23. ^ "Author Record on Web of Science". Web of Science. Retrieved July 22, 2024.
  24. ^ "Author Profile on Scopus". Scopus. Retrieved July 22, 2024.


Retrieved from "https://wiki.riteme.site/w/index.php?title=Draft:Ram_Bilas_Pachori&oldid=1256830546"