Hello, my name is

Dr. Mahesh Jangid

IEEE Senior Member
Associate Professor
Manipal University Jaipur

IMG_0256

About me

Dr. Mahesh Jangid is Associate Professor in Department of Computer Science & Engineering, Manipal University Jaipur, having 11 years of teaching and Research experience with prestigious academic institutions. He has an impeccable academic record and keen interest in research. He is GATE, SET and NET qualified. He has completed his Engineering from Rajasthan University in 2007 and his masters (M.Tech) from Dr B. R. Ambedkar National Institute of Technology, Jalandhar in 2011. He has completed his Ph.D. from Manipal University Jaipur. The objective of his research is to use Deep learning approaches in computer vision field and document analysis & recognition. His research interests include machine learning, soft computing, pattern recognition and image processing. He has conducted a 15-day summer programme on “Neural network and its applications” in association with University of Applied Science, Switzerland at the Ngee Ann Polytechnic, Singapore. He is an IEEE senior member and actively involved in IEEE activities. Apart from that he is also an active members of various globe societies like CSTA-ACM, IEEE-Computer Society, UACEE and IAENG. He has guided Bachelor and master’s degree students in the field of Deep Learning and Digital Image Processing.  He has published and presented more than 30 research papers in the peer reviewed journals and International Conferences in India, USA, and Thailand. He is also member of reviewer board of various journals and technical program committee of several reputed conferences

Educations

Ph.D. | 2018

Manipal Univrsity Jaipur

M.TEch | 2011

Dr. B. R. Ambedkar NIT, Jalandhar

B.E | 2007

Rajasthan University Jaipur

Skills

Python
85%
Java
80%
C Programming
75%
OpenCV
80%

Experience

2020-till date

Manipal University Jaipur

Associate Professor

Working in the department of Computer Science and Engineering from 2012.

2012-2020

Manipal University Jaipur

Assistant Professor

Working in the department of Computer Science and Engineering from 2012.

2011-2012

JVW University, Jaipur

Assistant Professor

Worked in the department of CSE.

2007-2009

JECRC, Jaipur

lecturer

This is where I started my teaching career. I have taught many graduate students and learned a lot which helped me clear the GATE exam in 2009.

Publications

International Journals: –

  1. Pradeep Yadav, Rishi gupta, Mahesh Jangid, Sandeep Chaurasia and Shubhajit Panda, “Compression of the videos using hybrid method in dither based block truncation technology with improved similarity measurement algorithms”, International Journal of Advanced Science and Technology, ISSN 2005-4238, Vol: 29, No: 3 pp. 3151-3157, 2020, Indexed in Scopus
  2. Sandeep Chaurasia, Mahesh Jangid, Rishi Gupta, Kritika Nayyar and Prasun Chakrabarti, “An empirical approach on Hand Gesture Recognition based using Convolution Neural Network”, International Journal of Advanced Science and Technology, ISSN 2005-4238, Vol: 29, No: 3, pp. 2892-2898, 2020, Indexed in Scopus
  3. Mahesh Jangid, Sandeep Chaurasia, Rishi Gupta and Shubhajit Panda, “Enhancing Model Performance in Detecting Abnormalities on Human Musculoskeletal System Through Optimization Techniques Using Deep Learning”, International Journal of Advanced Science and Technology, ISSN 2005-4238, Vol: 28, pp. 1779-1785, 2019, Indexed in Scopus
  4. Mahesh Jangid and Sumit Srivastava,” Handwritten Devanagari Similar Character Recognition by Fisher Linear Discriminant and Pairwise Classification. International Journal of Image and Graphics, 18(04), 2018, Scopus and ESCI, ISSN (print): 0219-4678 | ISSN (online): 1793-6756
  5. Mahesh Jangid, Sumit Srivastava “Handwritten Devanagari Character Recognition using Layer wise training of Deep Convolutional Neural Network and Adaptive Gradient Methods,” Journal of imaging, ISSN 2313-433X, 2018, Vol 4, no. 2, Indexed in ESCI, Web of Science, DBLP.
  6. Mahesh Jangid, Sumit Srivastava, “Skew correction and ruled-line removal in Devanagari, International Journal of Computer Science and Technology, ISSN: 2229-4333, Vol. 4, Issue Spl – 2, April – June 2013, Indexed in DOAJ, ProQuest, Computer Science Directory
  7. Mahesh Jangid, Sumit Srivastava. “Handwritten Devanagari characters recognition using the correlation of gradients in local neighbors.” Journal of Scientific Research and Development, ISSN: 1115-7569, Vol: 3, Issue: 1, pp. 107-114, 2016
  8. Bhavna Srivastava, Rajeev Srivastava, and Mahesh Jangid, “A hybrid model for optimum gene selection and classification”, International Journal of Medical Engineering and Informatics, Vol. 7, Issue No. 4, Pages: 381-405, ISSN: 1755-0661 2015, Inderscience, UK. (In Scopus and DBLP)
  9. Rakesh Rathi, Ravi Krishan Pandey, Mahesh Jangid and Vikas Chaturvedi “Offline Handwritten Devanagari Vowels Recognition using KNN Classifier” International Journal of Computer Applications, ISSN: 0975 – 8887, Vol. 49, No. 23, pp. 11-16, Published by Foundation of Computer Science, New York, USA, July 2012
  10. Mahesh Jangid,” Devanagari Isolated Character Recognition by using Statistical features” International Journal on Computer Science and Engineering, ISSN: 2229-5631, Vol. 3 No. 6, pp. 2401-2408, June 2011
  11. Kartar Singh Siddharth, Mahesh Jangid, Renu Dhir, Rajneesh Rani, “Handwritten Gurmukhi Character Recognition Using Statistical and Background Directional Distribution Features” International Journal of Computer Science and Engineering, ISSN: 2229-5631, Vol. 3 No. 6, pp. 2332-2345, June-2011
  12. Mahesh Jangid, Kartar Singh, Renu Dhir, Rajneesh Rani, “Performance comparison of Devanagari Numerals Recognition”, International Journal of Computer Applications, ISSN: 0975 – 8887, Vol. 22, No. 1, pp. 1-6, May 2011, Published by Foundation of Computer Science, New York, USA.
  13. Mahesh Jangid, Renu Dhir, Rajneesh Rani,” Novel Approach: Recognition of Devanagari Handwritten Numerals “, International Journal of Electrical, Electronics and Computer Science, ISSN: 2221-7258, Vol. 1, Issue 2, pp. 41-46, April 2011.

 

International Conference: –

  1. Jain, Tarun, Vivek Kumar Verma, Payal Garg, and Mahesh Jangid. “An Improvised Model for High-Security License Plate Detection and Recognition for Indian Vehicle to Enhance Detection Accuracy.” In Computational Network Application Tools for Performance Management, pp. 109-117. Springer, Singapore, 2020.
  2. Crystal Dias and Mahesh Jangid “Vulgarity Classification In Comments Using Svm and Lstm”, 2nd International Conference on Smart Systems, Innovations and Computing (SSIC), Smart Innovation, Systems and Technologies book series, 978-981-13-8406-6, Springer, 18-20 January, 2019, Jaipur, India
  3. Nayak, S. Kumar and Mahesh Jangid, “Malaria Detection Using Multiple Deep Learning Approaches,” 2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT), Jaipur, India, 2019, pp. 292-297, doi: 10.1109/ICCT46177.2019.8969046.
  4. Shubhajit Panda and Mahesh Jangid “Improving the Model Performance Of Deep Convolutional Neural Network in Mura Dataset”, 2nd International Conference on Smart Systems, Innovations and Computing (SSIC), Smart Innovation, Systems and Technologies book series, Vol. 141, Springer, 18-20 January, 2019, Jaipur, India
  5. Mahesh Jangid, Pranjal and Sumit Srivastava “Video-Based Facial Expression recognition using a Deep learning approach” Third International Conference on Computer Communication and Computational Sciences, October 20-21, 2018, Thailand, published in Springer Book Series “Advances in Intelligent Systems and Computing” (indexed by SCOPUS, Google Scholar, ISI Proceedings, EI-Compendex, DBLP and SpringerLink). ISBN. 978-981-13-6861-5
  6. Mahesh Jangid, Sumit Srivastava and Vivek Verma “Real-time Bottle Detection using Histogram of Oriented Gradients” International Conference on Advanced Computational and Communication Paradigms – ICACCP 2017, Vol. 475, ISBN:978-981-10-8240-5, 8-10, September 2017, Springer, Sikkim
  7. Mahesh Jangid, Sumit Srivastava “Deep ConvNet with different Stochastic Optimization for Handwritten Devanagari Character” First International Conference on Computer Communication and Computational Sciences, October 11-12, 2017, Thailand, published in Springer Book Series “Advances in Intelligent Systems and Computing” (indexed by SCOPUS, Google Scholar, ISI Proceedings, EI-Compendex, DBLP and SpringerLink). ISSN: 2194-5357.
  8. Mahesh Jangid, Venkatesh Gauri Shankar and Vivek Verma “Counting and Classification of the vehicle through Virtual Region for Private Parking Solution” 1st International Conference on Smart Systems, Innovations and Computing (SSIC), Springer,Vol. 79, 761-770, ISBN 978-981-10-5828-8, April 15-16, 2017, Jaipur, India
  9. Venkatesh Gauri Shankar, Mahesh Jangid, Bali Devi and Shikha Kabra “Mobile Big Data: Malware and its analysis” 1st International Conference on Smart Systems, Innovations and Computing (SSIC), Springer, 831-842, ISBN 978-981-10-5828-8, April 15-16, 2017, Jaipur, India.
  10. Mahesh Jangid, Dr. Sumit Srivastava “Similar Handwritten Devanagari Character Recognition by Critical Region Estimation” International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, ISBN: 978-1-5090-2028-7, September 21-24, 2016, Jaipur, India (The Conference is indexed by DBLP since 2012 and by SCOPUS and Web of Science (THOMSON REUTERS Conference Proceedings Citation Index) since 2013).
  11. Mahesh Jangid, Dr. Sumit Srivastava “Accuracy Enhancement of Devanagari Character Recognition by Gray Level Normalization” The Seventh International Conference On Computing, Communication and Networking Technologies (7ICCCNT) ACM, ISBN 978-1-4503-4179-0, July 06-08, 2016, Dallas, TX, USA.
  12. Subith babu, Mahesh Jangid “Touching character segmentation of Devanagari script” The Seventh International Conference on Computing, Communication and Networking Technologies (7ICCCNT) ACM, ISBN 978-1-4503-4179-0, July 06-08, 2016, Dallas, TX, USA.
  13. Mahesh Jangid, Dr. Sumit Srivastava “Gradient Local Auto-Correlation for Handwritten Devanagari Character Recognition” IEEE International Conference on High Performance Computing and Applications (ICHPCA-2014), ISBN: – 978-1-4799-5957-0, pp. 1-5, December 22-24, 2014 (DOI: – 10.1109/ICHPCA.2014.7045339)
  14. Bhavna Srivastava, Mahesh Jangid, Dr. Rajeev Srivastava “Filter vs. Wrapper approach for optimum gene selection of high dimensional gene expression dataset: An analysis with cancer datasets” IEEE International Conference on High Performance Computing and Applications (ICHPCA-2014), ISBN: – 978-1-4799-5957-0, pp. 1-6, December 22-24, 2014 (DOI: – 1109/ICHPCA.2014.7045359)
  15. Bhavna Srivastava, Rajeev Srivastava, Mahesh Jangid, “Comparative analysis of Filter vs. Wrapper approach for optimum gene selection of high dimensional gene expression dataset: An analysis with cancer datasets”, 5th International Conference on Stem Cells and Cancer (ICSCC-2014): Proliferation, Differentiation & Apoptosis, 8 – 10 November 2014, New Delhi.
  16. Mahesh Jangid, Dr. Sumit Srivastava, “Automatic objective answer sheet recognition”, IEEE International Conference on MOOC, Innovation and Technology in Education (MITE), ISBN: – 978-1-4799-1625-2, pp. 224-227, 20-22 December, 2013 (DOI: – 10.1109/MITE.2013.6756339)
  17. Mahesh Jangid, Dr. Sumit Srivastava, “Fast Devanagari Numerals Recognition Using Improved Foreground Sub-Sampling Technique”, International Conference on Recent Trends in Communication and Computer Networks – ComNet 2013, ISBN: 978-1-84919-859-2, 8-9 Nov, 2013 (DOI: 1049/cp.2013.2579)
  18. Mahesh Jangid, Renu Dhir, Rajneesh Rani, Kartar Singh Siddharth, “SVM Classifier for Recognition of Handwritten Devanagari Numeral” International Conference on Image Information Processing (ICIIP -2011) (IEEE conference at JUIT, Waknaghat,) ISBN: 978-1-61284-859-4, pp. 1-5, 3-5 Nov. 2011 (DOI: – 10.1109/ICIIP.2011.6108869)