SRMIST Vadapalani
Dr. D Vaishali

Dr. D Vaishali

Assistant Professor (S.G)

Department of Electronics and Communication Engineering

Degree Specialization University/Institute Name, Year
B.E. Electronics & Communication Engineering, Digital Systems, Digital Image Processing Pune University, 1994
M.E. Electronics & Communication Engineering, Digital Systems, Digital Image Processing Pune University, 2002
Ph.D. Electronics & Communication Engineering, Digital Systems, Digital Image Processing SRM Institute of Science and Technology, 2018
  • Bio medical Image Processing
  • Statistical Modelling
  • Multi-resolution Analysis
  • Digital Image Processing
  • Embedded Systems
  • Microprocessors and Microcontrollers
  • Linear Integrated Circuits
  • Electronic Devices and Circuits
  • Assistant Professor, ECE, S.R.M University, Vadapalani, Chennai. (2010- till date)
  • Assistant Professor (ECE), S.R.R Engineering College Chennai. Affiliated to Anna University. (2008-2009)
  • Assistant Professor (E & TC), SKN Engineering College, (Sinhgad Technical Education Society), Pune. Affiliated to Pune University. (Dec2001-2008)
  • Lecturer (E & TC), Vishwakarma Institute of Technology, Pune. Affiliated to Pune University. (July2001-Dec2001)
  • Lecturer (E & TC), Government Polytechnic, Pune. (1994 – May2001)
  • Received Gold Medal for the Research Paper on the Research Day 2016, SRM Institute of Science Technology
  • Research Publications more than 25 in Reputed International and National Journals
  • Reviewer for reputed international journals (SCI, SCOPUS, IEEE TRANSACTION)
  • Worked as a Brand Ambassador for International Bentham Publications
  • Resource Person for AICTE-STTP, TEQIP programs
  • Worked as Executive Member of IETE, Chennai Centre
  • Panelist, Session Chair for International conferences, workshops
  • G. Dheepak, Dr. D. Vaishali, “A Comprehensive Overview of Machine Learning Algorithms and their Applications”, International Conference on Artificial Intelligence and Machine Learning Enabled 5G Wireless Networks: Recent Advances and Challenges, 15.12.2021 & 16.12.2021.
  • G. Dheepak, Dr. D. Vaishali, “Introducing ELBP: A Novel Approach for Feature Extraction and Stacking with GLCM in Advanced MRI Brain Tumor Classification Using an Ensemble Classifier”, (Scopus Indexed, IEEE Xplore), International Conference on Augmented Intelligence and Sustainable System (ICAISS 2023),25.08.2023, (http://ieeexplore.ieeee.org/document/10250508)
  • G.Dheepak, Dr. D. Vaishali, “Feature Extraction for MRI Images using Gray level Co-Occurance matrix”, International Conference on Innovative Trends in Engineering & Technology ,28.07.2022.
  • G.Dheepak, Dr. D. Vaishali, “Political Aquila Optimizer-based Deep Maxout Network for Alzheimer’s Disease Detection,” International conference on Contemporary Challenges in Management, Education, Engineering & Allied Sciences, 30.07.2022
  • G.Dheepak, Dr. D. Vaishali, “Applications of Machine Learning- A Mini Review”, Second International Conference on Research in Electronics Engineering and Communication Techniques (ICREACT’22), 02.05.2022 & 03.05.2022
  • G.Dheepak, Dr. D. Vaishali, “Machine Learning Applications-Summarization”, International E-conference on Innovation and Emerging Trends in Engineering, Science and Management,24.06.2022 & 25.06.2022.
  • G.Dheepak, Dr. D. Vaishali, “A Comprehensive Survey on Classifiers in Machine Learning”, International Conference on Management, Engineering, Science and Humanities (MESH -2022), 19.01.2022
  • G. Dheepak, Dr. D. Vaishali, “A Comprehensive Overview of Machine Learning Algorithms and their Applications”, Artificial Intelligence and Machine Learning Enabled 5G Wireless Networks: Recent Advances and Challenges 15.12.2021 & 16.12.2021.
  • D. Vaishali, Dr.R.Ramesh, J Anita Christaline, “Quarter Plane ARMA Model for Histopathology Image Analysis and Classification: Application to Brain cancer detection”, International Conference, Global Congress on Computing & Media technology, (GCMT 15), Chennai, India.
  • D. Vaishali, Dr.R.Ramesh, J Anita Christaline, ‘2D Autoregressive Model for Texture analysis And Synthesis’ IEEE Conference ICCSP 2015. (https://ieeexplore.ieee.org/document/6950027)
  • J Anita Christaline, D. Vaishali ,”Image steganographic techniques with improved embedding capacity and robustness” : Recent Trends in Information Technology (ICRTIT), 2011 International Conference, Issue Date: 3-5 June 2011 , On page(s): 97 – 101, ISBN: 978-1-4577-0588-5, Digital Object Identifier: 10.1109/ICRTIT.2011.5972288 (https://ieeexplore.ieee.org/document/5972288)
  • D. Vaishali, Anita Christaline. J. (2012), “Machine Learning Classifiers and data Fusion Schemes for Pattern Recognition”, Research Day, SRM University, Kattankulathur, Chennai. Feb.2012.
  • Vaishali, P.Mukherjee, ‘Feature extraction of Devnagari characters using sub bands of Binary Wavelet Transform’, Proceedings of RETIS 2006,pp. 176-179,Kolkata,India July 2006.
  • Vaishali, P.Mukherjee, ‘Applications of Wavelet Transform’, Proceedings of IEEE International Conference (IMAE05), Jan 2005.Pune, Maharashtra India
  • Vaishali, Dr. M.S.Sutaone, ‘Multi Resolution Statistical model for Texture Analysis’, Raman Memorial Conference, Sept.2003 , Pune ,Maharashtra, India.