DIWAKAR GAUTAM

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Address(Home)
PT:-34 Rajnagar-A Bazaria Sawai Madhopur
Designation
Assistant Professor
Phone
9413213454
E-mail
diwakargautam@ecajmer.ac.in

Education

2013-Present
Ph.D:
Malaviya National Institute of Technology Jaipur
Specialization:
Machine Learning, Image Processing, Feature Engineering and Deep Learning
Research Advisor:
Dr. Mushtaq Ahmed
2010-2012
M.Tech:
Malaviya National Institute of Technology Jaipur
Specialization:
Digital Image Processing
Research Advisor:
Dr. S.G Modani
2006-2010
B.Tech:
College of Technology & Engineering Udaipur
Specialization:
Electronics & Communication Engg
Research Advisor:
Dr. Sunil Joshi

Employment History

September 2018 to Present
Engineering College Ajmer
Assistant Professor
June 2012 to July 2013
Sharda University, Greater Noida
Assistant Professor

Research Interests

Deep Learning, Machine Learning, Image Processing and Feature Engineering

      Journal Publications

      • Gautam, D, Ahmed, M, Meena, YK, Ul Haq, A. Machine learning–based diagnosis of melanoma using macro images. Int J Numer Meth Biomed Engng. 2018; 34:e2953. https://doi.org/10.1002/cnm.2953

      Conference/Workshop Publications

      • Gautam, Diwakar, and Mushtaq Ahmed. "Melanoma detection and classification using SVM based decision support system." 2015 Annual IEEE India Conference (INDICON). IEEE, 2015.
      • Singh, Deepika, Diwakar Gautam, and Mushtaq Ahmed. "Detection techniques for melanoma diagnosis: A performance evaluation." 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT 2014). IEEE, 2014.
      • Gautam, Diwakar, and Mushtaq Ahmed. "Efficient fuzzy edge detection using successive Otsu's method." International Conference for Convergence for Technology-2014. IEEE, 2014.
      • Solanki, Neha, et al. "A Comparative Analysis of Wavelet Families for Invisible Image Embedding." Emerging Trends in Expert Applications and Security. Springer, Singapore, 2019. 219-227.
      • Solanki, Neha, et al. "A Comparative Analysis of Wavelet Families for Invisible Image Embedding." Emerging Trends in Expert Applications and Security. Springer, Singapore, 2019. 219-227.
      • Rao, Sanjay, et al. "Least Square Mean Optimization-Based Real Object Detection and Tracking." Artificial Intelligence and Evolutionary Computations in Engineering Systems. Springer, New Delhi, 2016. 991-999.
      • Saraswat, Charchika, Diwakar Gautam, and Anupam Agarwal. "An Efficient Frame Embedding Using Haar Wavelet Coefficients And Orthogonal Component Analysis."
      • Kalita, Saptadeepa, et al. "A Combined Approach of Feature Selection and Machine Learning Technique for Handwritten Character Recognition." International Journal of Advanced Studies of Scientific Research 4.4 (2019).
      • Jain, Charvi, and Diwakar Gautam. "Abnormal behaviour detection at traffic junctions using Lucas Kanade and Harris Corner detector." 2018 4th International Conference on Recent Advances in Information Technology (RAIT). IEEE, 2018.
      • Pal, Shweta, and Diwakar Gautam. "An Unsupervised Learning Approach to Analyze the Feature Space of Cystitis and Nephritis." International Journal of Advanced Studies of Scientific Research 4.1 (2019).
      • Akram, Hiqa, Diwakar Gautam, and Rajiv Kumar. "A Supervised Learning Approach To Diagnose Cytitis And Nephritis." International Journal of Advanced Studies of Scientific Research 3.11 (2018).
      • Kumar, Rajiv, Pradeep Kumar Mishra, D. Gautam and Prasenjit Kar. "An Android Application for Image Steganography." International Journal of Advanced Studies of Scientific Research 3.9 (2018).

            Workshops/FDP/Trainings Participated

            • Deep Learening & Application at Government Engg COllege AJmer

            Recognitions And Certificates

            • TEQIP III, sponsored research project under Collaborative Research Scheme. Project Title:- "Empower Rural Medical Services Using a Computer Aided Cancer Diagnostic Deep Learning Model for Oral Cancer", Grant: INR 11.65 lakhs

            Memberships

            • IEEE Member 92835870