Jaypee Institute of Information Technology, Noida
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  • Prof. Megha Agarwal
Professor
megha.agarwal@jiit.ac.in

Education

B.Tech., M.Tech., Ph.D.

Biography

She received her B. Tech. degree from I. E. T. M. J. P. Rohilkhand University, Bareilly, Uttar Pradesh, and M. Tech. and Ph.D. degree from Indian Institute of Technology Roorkee. Her major fields of interest are Image Classification, Object Tracking, Medical Imaging, Face Recognition.

Interest Area(s)

Image Classification, Medical Imaging, Face Recognition, Machine learning

Work Experience

 12+Years

Publications

  •  Amit Singhal, Megha Agarwal, An automatic risk assessment system for sudden cardiac death using look ahead pattern, Multimedia Tools and Applications, Aug 2023, vol. 83, 27243–27258.

  •  Megha Agarwal, Amit Singhal, Fusion of pattern-based and statistical features for Schizophrenia detection from EEG signals, Medical Engineering & Physics, vol. 112, Feb 2023, 103949.

  • Megha Agarwal, Amit Singhal, Monika Patial, Brejesh Lall, Prediction of COVID-19 Cases and Attribution to Various Factors Across Different Geographical Regions. In: Roy, S., Sinwar, D., Perumal, T., Slowik, A., Tavares, J.M.R.S. (eds) Innovations in Computational Intelligence and Computer Vision . Advances in Intelligent Systems and Computing, vol. 1424. Springer, Singapore, May 2022, pp 263–271.  

  • Swati Mishra, Megha Agarwal, Diagnosis and Classification of Cancer using Machine Learning Techniques, IEEE International Conference on Service Operations and Logistics, and Informatics, 2022, pp. 1-5.

  • Wadhera, A., Agarwal, M. , Robust pattern for face recognition using combined Weber and pentagonal-triangle graph structure pattern, Optik, Volume 259, June 2022, 168925
  • Wadhera, A., Agarwal, M. Low dimensional multi-block neighborhood combination pattern for biomedical image retrieval. Multimed Tools Appl (2022). https://doi.org/10.1007/s11042-022-12089-7
  • M. Agarwal, A. Singhal, Directional local co-occurrence patterns based on Haar-like filters. Multimed Tools Appl 81, 1109–1123 (2022). https://doi.org/10.1007/s11042-021-11361-6
  • Singhal, A., Agarwal, M. & Pachori, R.B. Directional local ternary co-occurrence pattern for natural image retrieval. Multimed Tools Appl 80, 15901–15920 (2021). https://doi.org/10.1007/s11042-020-10319-4
  • Agarwal, M., Maheshwari, R.P. Multichannel Local Ternary Co-occurrence Pattern for Content-Based Image Retrieval. Iran J Sci Technol Trans Electr Eng 44, 495–504 (2020). https://doi.org/10.1007/s40998-019-00219-1
  • A. Singhal, M. Agarwal (2021) Gaussian Local Ternary Co-occurrence Pattern for Image Retrieval. In: Saran V.H., Misra R.K. (eds) Advances in Systems Engineering. Lecture Notes in Mechanical Engineering. Springer,3-9, Singapore. https://doi.org/10.1007/978-981-15-8025-3_1
  • A. Wadhera and M. Agarwal, "Content Based Image Retrieval Using 3D Center Symmetric Local Binary Co-occurrence Pattern," 2020 6th International Conference on Signal Processing and Communication (ICSC), 2020, pp. 173-177, doi: 10.1109/ICSC48311.2020.9182715.
  • A. Wadhera and M. Agarwal, "Face Recognition Using Local Multiple Zig-Zag Structure Pattern," 2021 7th International Conference on Signal Processing and Communication (ICSC), 2021, pp. 171-176, doi: 10.1109/ICSC53193.2021.9673241.
  • Megha Agarwal, Amit Singhal,Chapter 10 - Identification of heart failure from cine-MRI images using pattern-based features,Image Processing for Automated Diagnosis of Cardiac Diseases 2021, Pages 173-193.
  • Megha Agarwal, Amit Singhal, DoG Based Local Ternary Pattern for Image Retrieval, IEEE International Conference on Signal Processing and Communication (ICSC), 2019, Noida,1-4
  • Megha Agarwal, Amit Singhal, Brejesh Lall, Multi‑channel local ternary pattern for content‑based image retrieval, Pattern Analysis and Applications (2019) DOI: 10.1007/s10044-019-00787-2.
  • Megha Agarwal, Amit Singhal, Haar-like Local Ternary Pattern for Image Retrieval, 13th International Conference on Industrial and Information Systems (ICIIS) 2018,Ropar, pp 1-5.
  • Megha Agarwal, Amit Singhal, Brejesh Lall, 3D local ternary co-occurrence patterns for natural, texture, face and biomedical image retrieval, Elsevier Journal of Neurocomputing, (2018) DOI: 10.1016/j.neucom.2018.06.027.
  • Abhishek Kashyap, Megha Agarwal, Hariom Gupta, Detection of Copy-move Image forgery using SVD and Cuckoo Search," International Journal of Engineering and Technology (UAE), Vol 7, No 2.13, 2018, 79-87.
  • Abhishek Kashyap, Megha Agarwal, Hariom Gupta, Detection of Copy-Rotate Move forgery using Wavelet Decomposition and Zernike moments," International journal of pure and applied mathematics. Vol 119 No. 12, 2018, 12955-12966
  • Abhishek Kashyap, Rajesh Singh Parmar, Megha Agarwal, Hariom Gupta, An Evaluation of Digital Image Forgery Detection Approaches," International Journal of Applied Engineering Research, Vol. 12, No. 15, 2017, 4747-4758.
  • Rajesh Singh Parmar, Abhishek Kashyap, Megha Agarwal, Hariom Gupta, A Novel and Compact UWB Filter using Split Ring Resonator," International Journal of microwave and optical, Vol 4, 298-302, 2016
  • Megha Agarwal, Cascaded Directional Binary Pattern for CBIR, IEEE International Conference on Signal Processing and Communication, 2016, 285-288.
  • Abhishek Kashyap, B. Suresh, Megha Agrawal, Hariom Gupta , Detection of Digital Image Forgery using Wavelet Decomposition and Outline Analysis, IEEE International Conference on Signal Processing and Communication, 2016, 187-190.
  • Megha Agarwal, R.P. Maheshwari, Co-occurrence of maximal Haar-like wavelet filters for CBIR, International Journal of Signal and Imaging Systems Engineering, Vol.8, No.5, 316 – 330, 2015.
  • Abhishek Kashyap, B. Suresh, Megha Agarwal, Hariom Gupta, Shiv Dutt Joshi, Detection of splicing forgery using wavelet decomposition, International Conference on Computing, Communication and Automation, 2015, 843-848.
  • Nidhi Goel,  Megha Agarwal, Smart Grid networks: A State of the Art Review, International Conference on Signal Processing and Communication, 16-18 March 2015, 122-126
  • Kapil Goyal, Manoj Makhija, Megha Agarwal, Detecting the number of fingers raised and performing real time applications, IEEE International Symposium on Signal Processing and Information Technology, 15-17 Dec 2014, 241-246.
  • Megha Agarwal, Integrated features of haar-like wavelet filters, Seventh International Conference on Contemporary Computing, 7-9 Aug, 2014, 370–375.
  • Megha Agarwal, R. P. Maheshwari, " Á trous gradient structure descriptor for content based image retrieval", International Journal of Multimedia Information Retrieval, Vol. 1, No. 2, 129-138, 2012.
  • Megha Agarwal, R. P. Maheshwari, “HOG Feature and Vocabulary Tree for Content Based Image Retrieval”, International Journal of Signal and Imaging Systems Engineering, Vol. 3, No. 4, pp. 246-254, 2010.
  • Megha Agarwal, R. P. Maheshwari, “Binary Wavelet Transform Based Histogram Feature for Content Based Image Retrieval", International Journal of Electronic Signals and Systems, Vol. 1, No. 1, pp. 68-75, 2011.
  • Megha Agarwal and R. P. Maheshwari, "Content Based Image Retrieval Based on Log Gabor Wavelet Transform", Advanced Materials Research, Vols. 403-408, pp. 871-878, 2012.
  • Megha Agarwal, R. P. Maheshwari, “Weight Co-occurrence based Integrated Color and Intensity Matrix for CBIR", TECHNIA – International Journal of Computing Communication Technologies, Vol. 4, No. 1, pp. 651-656, 2011.
  • Megha Agarwal, Indra Gupta, “Chip Architecture for Data Sorting using Recursive algorithm”, Journal of Technology Management for Growing Economies, Vol. 1, No. 1, pp. 93- 102, 2010
  • Megha Agarwal, “Integrated Features of Haar-like Wavelet Filters”, in Proc. Seventh International Conference on Contemporary Computing (IC3), 2014, Noida.
  • Megha Agarwal, R. P. Maheshwari, "Image Retrieval using Integrated Features of Binary Wavelet Transform", 2nd International Conference on Methods and Models in Science and Technology (ICM2ST-11), AIP Conference Proceeding, Vol. 1414, pp. 188-192, 2011.

Ongoing research projects:

  • Megha Agarwal (Chief Investigator), Reliable classification of cyclic alternating pattern (CAP) for sleep disorders, Seed fund, JIIT Noida, Awarded date: March 2023, Fund: 80,000/-
  • Megha Agarwal (Chief Investigator), Prof. Ram Bilas Pachori (Co-PI, IIT Indore), Fundus image based diagnosis and clinical decision support system for early prediction of glaucoma and grading of diabetic retinopathies, Amrit Grand Challenge –जनCARE, BIRAC, Duration: 8 Months, Awarded date: Mar 2023, Fund: 10,00,000/-

Professional Membership:

Member of IEEE, Member IEEE Women in Engineering, Fellow IETE
 

Ph.D thesis completed

1. Image Forgery detection, Abhishek Kashyap, Co-Supervisor-Prof. Hari Om Gupta, Nov 2018.

2. Improved local patterns for image retrieval and recognition, Ankita Wadhera, Sept 2023.

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