Birla Institute of Technology, Mesra
Dr. P. K. Upadhyay
Assistant Professor, Electrical and Electronics Engg
Ph.D in Technology 		Contact Address
Permanent Address Latehar, Jharkhand
Local Address C-II/37 Birla Instititute of Technology, Mesra, Ranchi
Phone (Office) +91-6512275896
Phone Residence +91-7070128145
Email Id pkupadhyay@bitmesra.ac.in
Joined Institute on : 2-Jul-2001
  Work Experience
 
Teaching : 21 Years

Research : 8 Years

Individual: 13 Years
  Professional Background

Working as an Assistant Professor in the Department of Electrical & Electronics Engineering. Served BIT main campus for 7 years, BIT international campus for 13 years (UAE-12 years, Oman-1 year). Gained significant academic experience and administrative insights which include –

Teaching and Research Experience

  • Taught 7 courses of Electrical Engineering to UG and PG students of EEE department at BIT main campus (India).
  • Taught Engineering Physics (Semester-1&2) and two courses of ECE department at Muscat offshore campus in Oman.
  • Taught 11 courses of EEE, ECE, Applied Science departments at BIT RAK Campus in UAE.
  • One Ph.D. supervision completed in 2018, one registered (Ph.D. Thesis is about to be submitted).
  • Guided various Master’s Thesis and numerous Bachelors’ Project works.

Administrative Experience

Academic Coordinator, Birla Institute of Technology, UAE Campus since August 2012 to December 2019.

Roles and Responsibilities

  • Recruitment of faculty members/Lab technicians as and when required.
  • Arranging for Guest lecture, Industrial visit, Technical seminars etc.
  • Keeping track with the revision in the syllabus for all disciplines of the Institute, as received from parent Institute.
  • Conducting semester-wise entire student’s admission and registration process.
  • Preparation of Course offering, Time table and allocation of classrooms.
  • Preparation of Academic Calendars and student’s transcripts.
  • Monitoring of unregistered/withdrawal cases and additional credit assignment cases.
  • Interaction with the students & parents for their various queries and official letters.
  • Issuance of all sorts of certificates required by the students.
  • Conducting Parent -Teachers meeting in each semester.
  • Preparation of consolidated requirement of books, journals etc. for procurement, based on the data from each department.
  • Maintaining academic conduct and discipline to improve the academic environment of the Campus.

In-charge / Assistant In-charge Examination, Birla Institute of Technology, UAE Campus from August 2008 to August 2012.

Roles and Responsibilities

  • Conduction of all BIT examinations smoothly and timely publication of results.
  • Preparation of the timetables, seating plan and invigilation duties.
  • Coordinating with BIT main campus, (India) for smooth conduction of examinations.
  • Organizing annual Convocation ceremony at RAK campus.

Other responsibilities: 

  • Academic leadership for 8 years at BIT RAK Campus (UAE)  for successful running of academic programs with 650 students studying in Engineering, Architecture and Management programs.
  • Leadership for 35 faculty members ensuring that our teaching and research agenda, processes and systems are aligned with the Parent Campus. Mentoring young faculty members in all engineering disciplines to enable them to excel in their careers.
  • Head, Disciplinary Committee from 2009 to 2019, BIT RAK.
  • Coordinator, Research Committee, Birla Institute of Technology, UAE Campus since March 2011 to May 2014.
  • Management of various departmental programs to handle student internships, training and placement, and quality management of teaching and learning environment.
  • Department in-charge - EEE and ECE for eight years in RAK (UAE).
  • In-charge, Applied Science department from 2011 to February 2020.
  • Promoted innovation, collaboration and a team atmosphere among faculty members and students.
  Research Areas
 

Research Interests

Biomedical Signal analysis, Cloud Computing, Deep Learning, Neuro-Fuzzy Adaptive Systems.

No of Ph.D. Supervised: 2

(a) Analysis of Sleep EEG Events under Heat Stress using Neuro-Fuzzy Techniques.

(b) Efficient Fault Tolerant Scheduling Framework in Cloud Computing

No of Ph.D. registered: 2

 
  Award and Honours
 

Best Paper Award - “Scaled Conjugate Gradient Backpropagation based SLA Violation Prediction in Cloud Computing”, International Conference on Computational Intelligence and Knowledge Economy (ICCIKE 2019), Amity University, Dubai, December 11-12, 2019.

Distinguished Researcher Award for the prominent research in Biomedical Physics by Jagdamba College of Engineering & Technology, Maharashtra (India), May 2013.
  Publications
 

Research Publications

  1. A Multi-Scale Channel-Wise Convolution Based Multi-Level Heat Stress Assessment, “Chetna Nagpal & Prabhat Kumar Upadhyay”, Neural Computing and Applications, Springer, July 2022 (SCI, IF 5.6).
  2. Pandita, Archana, Prabhat Kumar Upadhyay, and Nisheeth Joshi, “Implementation of Hybrid Adaptive System for SLA Violation Prediction in Cloud Computing”, International Journal of Cloud Computing, InderScience, Forthcoming article, DOI: 10.1504/IJCC.2022.10035787 (Scopus).
  3. Prabhat Kumar Upadhyay, Chetna Nagpal, “Time-Frequency Analysis and Fuzzy Based Detection of Heat Stressed Sleep EEG Spectra”, Medical & Biological Engineering & Computing, DOI: https://doi.org/10.1007/s11517-020-02278-7,  pp. 1-17, Nov. 2020 (SCI, IF-2.6).
  4. Prabhat Kumar Upadhyay, Chetna Nagpal, “Wavelet Based Performance Analysis of SVM and RBF Kernel for Classifying Stress Conditions of Sleep EEG”, Romanian Journal of Information Science and Technology, Romanian Academy, Vol 23, No 03, pp. 292-310, August 2020 (SCIE, IF-0.643).
  5. Prabhat Kumar Upadhyay, Pandita, Archana, and Nisheeth Joshi, “Fuzzy Logic Based Detection of SLA Violation in Cloud Computing- A Predictive Approach”, International Journal of Next-Generation Computing, December 2020.
  6. Prabhat Kumar Upadhyay, Chetna Nagpal, “PCA aided FCM Identifies Stressful Events of Sleep EEG under Hot Environment”, IETE Journal of Research published by Taylor and Francis, pp. 1-14, DOI: 10.1080/03772063.2020.1782273  June 2020  (SCIE, IF-2.333).
  7. Chetna Nagpal & Prabhat Kumar Upadhyay, “Adaptive Neuro Fuzzy Inference System Technique on Polysomnographs for the detection of Stressful Conditions”, IETE Journal of Research published by Taylor and Francis, https://doi.org/10.1080/03772063.2018.1429325, May 2019 (SCIE, IF-2.333).
  8. Rakesh Kumar Sinha, Yogender Aggarwal, Prabhat Kumar Upadhyay, “Neural Network-Based Evaluation of Chronic Non-Thermal Effects of Modulated 2450 MHz Microwave Radiation on Electroencephalogram”, Annals of Biomedical Engineering, Vol. 36, No. 5, pp. pp. 839–851, ISSN - 1573-9686, https://doi.org/10.1007/s10439-008-9450-y, May 2008 (SCI, IF-3.934).
  9. Pandita, Archana, Prabhat Kumar Upadhyay, and Nisheeth Joshi. "SLA Violation Prediction by Bayesian Regularization and Scaled Conjugate Gradient Method: A Comparative Empirical Study." International Journal of Computing and Digital Systems, 9, pp. 1-9, July 2020 (Scopus).
  10. Archana Pandita and Prabhat K. Upadhyay, “Fault Tolerance Aware Scheduling for Brokers in Cloud Computing Data-centers”, Recent Patents on Computer Science, 10 (4), 299 – 307, DOI:10.2174/2213275911666180419152348, 2017 (Scopus).
  11. Prabhat Kumar Upadhyay, and Chetna Nagpal, “SCG Backpropagation Based Prediction of Stressed EEG Spectrum”, 2020 Advances in Science and Engineering Technology International Conferences (ASET), pp. 1-5, DOI: 10.1109/ASET48392.2020.9118324, IEEE Explore June 2020.
  12. Prabhat Kumar Upadhyay, and Chetna Nagpal, “ANFIS detects the changes in stressful patterns of sleep EEG”, Lecture Notes in Bioengineering book series (LNBE), Springer Nature Singapore, pp. 91-101, September 2020.
  13. Prabhat Kumar Upadhyay, Archana Pandita, Nisheeth Joshi, “Scaled Conjugate Gradient Backpropagation based SLA Violation Prediction in Cloud Computing”, https://doi.org/10.1109/ICCIKE47802.2019.9004240,  pp. 203-208, IEEE Explore, February 2020.
  14. Chetna Nagpal & Prabhat Kumar Upadhyay et al., "IIoT Based Smart Factory 4.0 over the Cloud", https://doi.org/10.1109/ICCIKE47802.2019.9004413, pp. 668-673. IEEE Explore, February 2020.
  15. Upadhyay, Prabhat Kumar, Nadia Mohamed Kunhi, Yash Gupta, Shaik Ishraq Ahamed, and Jidhin Das, “Intelligent Energy Management System Along with Solar-Wind Hybrid Power Source”, April 2020, IEEE Xplore, DOI:10.1109/Confluence47617.2020.9057824.
  16. Deepa D. Shankar and Prabhat Kumar Upadhyay, “Cross-Validation and Blind Feature Analysis of 25 Percent Embedding on JPEG Image Format using SVM”, International Journal of Innovative Technology and Exploring Engineering, ISSN: 2278-3075, Volume-8, Issue-11S, September 2019 (Scopus).
  17. Archana Pandit, Prabhat Kumar Upadhyay, Nisheeth Joshi, “Fault Tolerance Based Comparative Analysis of Scheduling Algorithms in Cloud Computing”, DOI: https://doi.org/10.1109/iccsdet.2018.8821216, IEEE Explore, 2018.
  18. Chetna Nagpal & Prabhat Kumar Upadhyay,“Wavelet Based Sleep EEG Detection Using Fuzzy Logic”,  Advanced Informatics for Computing Research, Vol. 955. Springer, Singapore https://doi.org/10.1007/978-981-13-3140-4_71, ICAICR, December 2018, (Scopus).
  19. Ranjana Sharma, Purnima Jain, and Prabhat K. Upadhyay, “Effect of Organoclay Loading on Rheological Behaviour of Impact-Modified PBT/PTT Blends-Based Nanocomposites”, Polymers Research Journal,  Vol. 11, Issue 2,  43-58, ISSN: 1935-2530,  2017.
  20. Chetna Nagpal, P.K. Upadhyay, “A review on sleep EEG events using neuro-fuzzy system”, GE-International Journal of Engineering Research Vol. 4, Issue 2, IF-4.007 ISSN: (2321-1717) © Associated Asia Research Foundation (AARF) Publication, 2016.
  21. Ranjana Sharma, Purnima Jain, and Prabhat K Upadhyay, “Spectroscopic Studies of Nanocomposites Based on Impact Modified PBT/PTT Blends Loaded By Organoclay”, International Journal of advanced Technology in Engineering and Science, Vol. 4, Issue 5, ISSN 2348-7550, May 2016.
  22. Deepa D. Shankar and P.K. Upadhyay, “Separate Feature Based Steganalysis for Calibrated JPEG Images”, International Journal of Computer Science and Information Security (IJCSIS), Vol. 14, No. 8, August 2016.
  23. P. K. Upadhyay, Md. Towhidul Islam, “Design and Analysis of Prototypal Wave Energy Harnesser System”, Journal of Research in Engineering and Applied Sciences, ISSN 1819-6608, Vol. 01, Issue 02, April 2016.
  24. Deepa D. Shankar and Prabhat Upadhyay, “Performance Analysis of various feature sets in Calibrated Blind Steganalysis”, IJCSNS International Journal of Computer Science and Network Security, Vol. 16 No. 8, August 2016.
  25. Chetna Nagpal, P.K Upadhyay, “Sleep EEG Classification Using Fuzzy Logic”, International Journal of Recent Development in Engineering, ISSN 2347-6435, Volume 4, Special Issue 1. 2015.
  26. Archana Pandit, P.K. Upadhyay, “Reducing Energy Consumption of Nodes using Force Based Auto Deployment of Wireless Sensor Networks”, https://doi.org/10.1109/IEMCON.2015.7344474, IEEE Explore, 2015.
  27. Ranjana Sharma, Purnima Jain, and Prabhat K. Upadhyay, “Rheological Properties of Impact-Modified PBT/PTT Blends-Based Nanocomposites”, Polymer research, Vol. II, Issue (7),  ISSN 2347-517X, Nov 2015.
  28. P.K. Upadhyay, R. K. Sinha, “Wavelet-Neural classification of sleep EEG under stressful condition”, Proceedings of the 2013 Sixth International Conference on Developments in eSystems Engineering, 93–98, IEEE, Xplore, DOI: 10.1109/DeSE.2013.25, 2013.
  29.  Ranjeet Ranjan, P.K. Upadhyay, Arbind Kumar, Praveen Dhyani “Theoretical and Experimental Modeling of Air Muscle”, International Journal of Emerging Technology and Advanced Engineering, Vol-2, Issue-4, pp. 112-119, ISSN - 2250–2459, April 2012.
  30. Upadhyay P.K., Sinha R.K, “Detection of Sleep Patterns of Electroencephalogram using Self-Organizing Feature Map and Learning Vector Quantization”, Caledonian Journal of Engineering, Vol – 7, No-2, pp. 1 – 10, ISSN: 1999-9496, July 2011.
  31.  Prabhat Kumar Upadhyay, Rakesh Kumar Sinha, Bhuwan Mohan Karan, “Predicting heat-stressed EEG spectra by self-organizing feature map and learning   vector quantizers”, Journal of Biomedical Science and Engineering, 3, pp. 529-537, Scientific Research, ISSN - 1937-6871, https://doi.org/10.4236/jbise.2010.35074 ,  May 2010 May 2010.
  32. Prabhat Kumar Upadhyay, Rakesh Kumar Sinha, Bhuwan Mohan Karan “Detection and analysis of the effects of heat stress on EEG using wavelet transform”, Journal of Biomedical Science and Engineering, 3, pp. 405-414, Scientific Research, ISSN - 1937-6871, https://doi.org/10.4236/jbise.2010.34056 , April 2010.
  33. Prabhat Kumar Upadhyay, Rakesh Kumar Sinha, Bhuwan Mohan Karan,“Identification of Stressful Events using Wavelet Transform and Multilayer feed-forward network”, Caledonian Journal of Engineering, Vol – 5, No-2, pp. 1 – 10, ISSN: 1999-9496 Dec 2009.

Book Chapters

  1. Prabhat Kumar Upadhyay, and Chetna Nagpal, “ANFIS detects the changes in stressful patterns of sleep EEG”, Lecture Notes in Bioengineering book series (LNBE), Springer Nature Singapore, DOI 978-981-15-6329-4_9, © 2021, , pp. 91-101, September 2020.
  2. Prabhat Kumar Upadhyay, and Chetna Nagpal. "Sleep Stage and Heat Stress Classification of Rodents Undergoing High Environmental Temperature." Computational Methods and Data Engineering, Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1227), https://doi.org/10.1007/978-981-15-6876-3_47, pp. 577-587, Springer, Singapore, August 2020.
  3. Archana Pandita, Prabhat Kumar Upadhyay, Nisheeth Joshi, “Prediction of Service Level Agreement Violation in Cloud Computing Using Bayesian Regularization”, Advanced Machine Learning Technologies and Applications, Part of the  Advances in Intelligent Systems and Computing book series (AISC, volume 1141), Springer Nature Singapore, https://doi.org/10.1007/978-981-15-3383-9_21,  pp. 231-242, May 2020.
  4. Deepa D. Shankar and Prabhat Kumar Upadhyay, “Steganalysis of Very Low Embedded JPEG Image in Spatial and Transform Domain Steganographic Scheme Using SVM”, Innovations in Computer Science and Engineering. Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 103) Springer, Singapore, https://doi.org/10.1007/978-981-15-2043-3_45, pp. 405-412, March 2020.
  5. Chetna Nagpal & Prabhat Kumar Upadhyay, “Wavelet Based Sleep EEG Detection Using Fuzzy Logic”,  Advanced Informatics for Computing Research, Vol. 955. Springer, Singapore https://doi.org/10.1007/978-981-13-3140-4_71, ICAICR, pp. 794-805, December 2018, (Scopus indexed). 
  6. Presented in International/National Conferences
  7. Prabhat Kumar Upadhyay et al., “Intelligent Energy Management System Along with Solar-Wind Hybrid Power Source”, Proc. 10th International Conference-CONFLUENCE, Amity University, Noida (India), January 29-31, 2020, IEEE Xplore.
  8. Archana Pandita, Prabhat Kumar Upadhyay, Nisheeth Joshi, “Prediction of Service Level Agreement Violation in Cloud Computing Using Bayesian Regularization”, Proc. 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA-2020), MIT Jaipur (India), February 13-15, 2020, Springer Series.
  9. Prabhat Kumar Upadhyay, and Chetna Nagpal, “SCG Backpropagation Based Prediction of Stressed EEG Spectrum”, HCT Dubai, (UAE), February 4-6, 2020, IEEE.
  10. Prabhat Kumar Upadhyay, and Chetna Nagpal, “Sleep Stage and Heat stress Classification of Rodents undergoing High Environmental Temperature”, Proc. International Conference on Computational Methods and Data Engineering (ICMDE 2020), SRM University, Delhi-NCR, Sonepat, Haryana (India), January 30-31, Springer Series. 
  11. Chetna Nagpal, Prabhat Kumar Upadhyay et al., “IIoT Based Smart Factory 4.0 over the Cloud”, Proc. International Conference on Computational Intelligence and Knowledge Economy (ICCIKE 2019), Amity University, Dubai, December 11-12, 2019.
  12. Prabhat Kumar Upadhyay, Archana Pandita, Nisheeth Joshi, “Scaled Conjugate Gradient Backpropagation based SLA Violation Prediction in Cloud Computing”, Proc. International Conference on Computational Intelligence and Knowledge Economy (ICCIKE 2019), Amity University, Dubai, December 11-12, 2019, IEEE .
  13. Prabhat Kumar Upadhyay, and Chetna Nagpal, “ANFIS detects the changes in stressful patterns of Sleep EEG”, Proc. International Conference on Biomedical Engineering Science and Technology, NIT Raipur, Chhattisgarh, India, December 20-21, 2018, Springer.
  14. Deepa D. Shankar, Prabhat Kumar Upadhyay, “Steganalysis of very low embedded JPEG image in Spatial and Transform domain Steganographic Scheme using SVM”, Proc. 7th International Conference on Innovations in Computer Science & Engineering (ICICSE 2019), Guru Nanak Institutions, Hyderabad, India, 16–17 August 2019, Springer LNCS Series.
  15. Archana Pandita, Prabhat Kumar Upadhyay, Nisheeth Joshi, “Fault Tolerance Based Comparative Analysis of Scheduling Algorithms in Cloud Computing”, IEEE International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET-18), SAINGITS College of Engineering, Kerala, India, December 21-22, 2018, IEEE.
  16. Archana Pandita, P.K. Upadhyay, “Reducing Energy Consumption of Nodes using Force Based Auto Deployment of Wireless Sensor Networks”, Proc. International Conference and Workshop on Computing and Communication (IEMCON), Dubai, 15-17 October, 2015, IEEE.
  17. Chetna Nagpal, P.K. Upadhyay, “Sleep EEG Classification Using Fuzzy Logic 3rd International Conference on Modern trends in Science, Technology and Engineering (ICMTSET 2015), May 2015, Dubai.
  18. P.K. Upadhyay, R. K. Sinha, “Wavelet-Neural classification of sleep EEG under stressful condition”, Proc. 6th International Conference on Developments in e-Systems Engineering - DeSE2013, Abu Dhabi (UAE), December 16 2013, IEEE.
  19. P. K. Upadhyay,  and Towhidul Islam, “Theoretical and Mathematical approach towards the development   of a Wave Energy yielding device”, Proc. National Conference on emerging technologies, Birla institute of technology ,RAK (UAE), May 2013.
  20.  Upadhyay, P. K., Sinha, R. K., “Classification of Sleep-Wake stages of Rat EEG in hot environment using Wavelet transform and Self organizing feature map”, Proc. National conference on Emerging Trends in Biomedical Instrumentation, Biomed-2005, BIT Mesra, Ranchi (India), May 2005.
  21. Upadhyay, P. K., Karan B.M., “Recognition of EEG patterns using wavelet transform and unsupervised   learning scheme”, Proc. International Conference held in IIT, Kharagpur ( India), December, 2001.
  22. Upadhyay, P. K., Karan B.M., Application of Wavelet transform and Kohonen network in nonstationary signal analysis, Proc. National Conference held in Thapar Institute of Engineering and Technology, Patiala (India), March 2001.
  Member of Professional Bodies
 

Life Member, Indian Society for Technical Education (ISTE).
  Current Sponsored Projects
 

Title of Project – Brain Signal Controlled Wheel Chair

Sponsoring Agency – Indian Council of Medical Research (ICMR)

Fund Value – Rs. 31,01,638.00