SOET KRMU Faculty Mr. Manoj Kumar Ojha

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Mr. Manoj Kumar Ojha

Assistant Professor -Engineering & Technology

Interest Area(s)

  • Image and Signal Processing 
  • Machine Learning 
  • Deep Learning Techniques 

He is an eminent researcher having an engineer mind set. He specialises in Machine Learning and Deep Learning. He is working as an Assistant Professor in School of Engineering & Information Technology & Dy. Examination Controller at K.R Mangalam University. He has worked with Sanskriti University, Mathura, Shri Ram Group of Colleges Gwalior, & NRIITM Gwalior in his long journey of teaching and academic administration. His Administrative Responsibilities include Examination Head, Academic Coordinator & Head of Department. His area of research is Signal Processing, Image Processing & Bio-Medical Engineering. His subjects of interest are Microprocessor, Computer Architecture, Computer Network and Digital Design, Machine Learning, & Computer Vision.

  • Ph.D. (Submitted in March 2022) from Madhav Institute of Technology & Science Gwalior (M.P) under RGPV Bhopal M.P.
  • Master of Engineering in Measurement & Control from Madhav Institute of Technology & Science, Gwalior (M.P) in 2005 with distinction.
  • Bachelor of Engineering in Electronics and Telecommunication from SRCEM, Banmore (M.P.) Under RGPV Bhopal M.P in 2003 with distinction.
  • March 2014-June 2022 :  Worked as Assistant Professor in School of Engineering and Information Technology and Dy. Controller of Examination in Sanskriti University, Mathura (U.P).
  • June 2010-Jan 2014 Worked as an Asst. Professor & Head in the department of Electronics in Shri Ram Institute of Information Technology, Banmore, Gwalior (M.P).
  • July 2009-June 2010: Sr. Lecturer in Shri Ram College of Engineering & Management, Gwalior (M.P.).  
  • Sep 2005? July 2009:   Worked as a Lecturer in NRI Institution of Technology & Management, Gwalior (M.P.).
  • Bio Medical Engineering
  • Computer Vision
 
  • “Early Prediction of Arrhythmias from ECG signal using Support Vector Machine Classifier” International Conference AIRHS 2022 on 11-12 Jan 2022, organized by IIITM Pune .
  • “Automated Identification of Tachyarrhythmia from Different Datasets of Heart Rate Variability using a Hybrid Deep Learning Model” International Conference on Computational Intelligence, 27-28 Dec 2021, organized by IIITM Pune .
  • “Detection of Congestive Heart Failure from R-R Interval using Flexible Wavelet Transform”, NCSMMT 2018, organized by MSME-PPDC, Agra held on 14th April, 2018.
  • “ECG QRS complex detection techniques” has been presented in “computer applications in electrical engineering recent trends” National Conference organized by Department of Electrical Engineering M.I.T.S. Gwalior (M.P.) held on 16th -17th Dec 2011.
  • “ECG signal analysis using SVM” has been presented in “AEE-2010”National Conference Organized by department of electrical engineering M.I.T.S. Gwalior.
  • “Expert System for Diagnosis of Hasen Disease Using Neural Network” has been presented in “ICACCT 2007” International Conference Organized by Asian Pacific Institute of Information Technology SD India, Panipat held on 3rd-4th Nov 2007.
  • “Wavelet Based Diagnosis for Hasen Disease Using Neural Network” has been presented in “AEE-2006” National Conference organized by department of electrical engineering M.I.T.S. Gwalior (M.P.) held on 29th-30th Nov 2006.
  • Best Paper Awarded on Machine Learning Track on “Automated Identification of Tachyarrhythmia from Different Datasets of Heart Rate Variability using a Hybrid Deep Learning Model” International Conference on Computational Intelligence, 27-28 Dec 2021 organized by soft computing research society and IIITM, Pune and publish in Algorithm for Intelligent System book chapter. Springer (SCOPUS). 
  • Patent Filed: Smart Healthcare System and Method for Predicting the Severity of Illness and Prioritizing the Appointment. Application No. 202011040717 Date 21.09.2020.
  •  "Automatic detection of arrhythmias from an ECG signal using an Auto-Encoder and SVM Classifier" Journal : Physical and Engineering Sciences in Medicine. Publish : SCIE.
  • “Deep Convolutional Bidirectional LSTM Model for identifying Ventricular Tachyarrhythmia using ECG Signal Variability”. Journal : Soft Computing. Under review : SCIE.
  • “Efficient R peak Detection Algorithm from ECG using Combination Stationary Wavelet Transform and Hilbert Transform”, Solid State Technology, Vol: 63 Issue: 5, 2020 :  Scopus.