Dr. D Vaishali
Assistant Professor
Department of Electronics & Communication Engineering
Contact Information
Email : vaishali.b@vdp.srmuniv.ac.in
- B.E., 1994, Pune University
- M.E.,2002, Pune University
- Ph.D., 2018, SRM Institute of Science and Technology
- Subjects: Electronics & Communication Engineering, Digital Systems, Digital Image Processing
- Digital Image Processing
- Embedded Systems
- Microprocessors and Microcontrollers
- Linear Integrated Circuits
- Electronic Devices and Circuits
- Bio medical Image Processing
- Statistical Modelling
- Multi-resolution Analysis
- Vaishali Durgamahanthi, J. Anita Christaline & A. Shirly Edward “GLCM and GLRLM Based Texture Analysis: Application to Brain Cancer Diagnosis Using Histopathology Images” Intelligent Computing and Applications Advances in Intelligent Systems and Computing(SCOPUS), 2020, p. 691-706, (https://doi.org/10.1007/978-981-15-5566-4_61\)
- G. Dheepak, D. Vaishali; “ELBP: A Novel Approach for Feature Extraction and Stacking with GLCM in Advanced MRI Brain Tumor Classification” DOI: 10.1109/ICAISS58487.2023.10250508 [IEEEXplore, Scopus Indexed]
- G. Dheepak, Anita Christaline, D. Vaishali, “Optimizing Brain Tumor Classification: A Fusion Approach of PCA, SVM, and Image-Based Features”; 2023 Global Conference on Information Technologies and Communications (GCITC), Bangalore, India, 2023, pp. 1-5, DOI: 10.1109/GCITC60406.2023.10426372. [IEEE Xplore, Scopus Indexed]
- Dheepak, G., J, A. C., & Vaishali. D. (2024). “Brain tumor classification: a novel approach integrating GLCM, LBP and composite features”, Frontiers in Oncology, https://doi.org/10.3389/fonc.2023.1248452 (SCIE- 3.5)
- G. Annapoorni, Dr. D. Vaishali, “Non-Invasive Breast Cancer Detection Using Electrical Impedance Tomography: Design, Analysis and Comparison of Reconstruction Algorithms”, Traitement du Signal, SCI, SCOPUS, Dec2023, Vol. 40, No. 6, PP. 2809-2817.
- Dheepak G., J.A.C., Dr. D. Vaishali, “MEHW-SVM multi-kernel approach for improved brain tumor classification “IET Image Processing, Wiley Online ISSN:1751-9667 Print ISSN:1751-9659, SCI, SCOPUS, Dec 12th 2023 DOI: 10.1049/ipr2.12990.
- Durgamahanthi Vaishali, P. Vishnu Priya, Nithyasri Govind, and K. Venkat Ratna Prabha “Higher Order Statistical Analysis in Multiresolution Domain – Application to Breast Cancer Histopathology” – Lecture Notes in Computer Science 12632, Springer book: Service-Oriented Computing, May 20212021, DOI: 10.1007/978-3-030-76352-7_45 (pp.495-508)
- Anita Christaline JohnVictor, Vaishali Durgamahanthi, Ramya Meghana Pariti Venkata, Nishtha Jethi “Critical review of bio-inspired optimization techniques”, DOI: 10.1002/wics.1528 (https://wires.onlinelibrary.wiley.com/doi/pdf/10.1002/wics.1528), 21 July 2020
- K. Venkata Ratna Prabha, D. Vaishali, Pallikonda Sarah Suhasini, K. Subhashini, and P. Ramesh “Different Diagnostic Aids and the Improved Scope of Establishing Early Breast Cancer Diagnosis” Springer Lecture note Micro Electronics and Telecommunication Engineering, Vol: 179, Sept 2021. SCOPUS. (https://www.springerprofessional.de/en/different-diagnostic-aids-and-the-improved-scope-of-establishing/19208356)
- D.Vaishali, P.Vamshi Krishna, Md. Farhan Iqubal, “Abnormalities Detection in CT Scan Lung Images Using GLCM”, International Journal of Applied Mathematics, (IJPAM), Vol.119, No.15, 967-975,2018.
- D. Vaishali, R. Ramesh, C. Gomathy, and J Anita Christaline, “Histopathology Image Analysis and Classification Using ARMA Models: Application to Brain Cancer Detection”, Current Medical Imaging Review (CMIR), SCIE, SCOPUS, 13(3): 355 – 361,2017, DOI: 10.2174/1573405613666170427153750
- D. Vaishali, R. Ramesh, C. Gomathy, J Anita Christaline, “Texture Analysis Using Wavelet-Based Multiresolution Autoregressive Model: Application to Brain Cancer Histopathology”, Journal of Medical Imaging and Health Informatics, (JMIHI), SCIE, SCOPUS, due for publication, Vol. 7, 1–8,2017, DOI: 10.1166/jmihi.2017.2255D.
- D. Vaishali, Ramesh. R., Anita Christaline. J, “Performance Evaluation of Cancer Diagnostics Using Autoregressive Features with SVM Classifier: Applications to Brain Cancer Histopathology”, International Journal of Multimedia and Ubiquitous Engineering (IJMUE), SCOPUS, Vol.11, No.6, pp.241-254, 2017. (http://dx.doi.org/10.14257/ijmue.2016.11.6.21)
- D. Vaishali, Ramesh. R., Anita Christaline. J, “Quarter Plane ARMA model for Analysis and Classification of Histopathology images: Application cancer detection”, Indian Journal of Science and Technology, (INDJST), SCOPUS, Vol.9, No. 22, 95 -99.2016.
- D. Vaishali, Dr.R.Ramesh, J Anita Christaline, “Autoregressive modeling: Application to mitosis detection in brain cancer histopathology”, International journal of Biomedical Engineering & technology, (IJBET), SCOPUS, InderScience, Volume .20,No. 2, Pp.179-194,2016.
- J Anita Christaline, Dr.R.Ramesh, Dr.C.Gomathy, D. Vaishali, “Bio inspired optimization for universal spatial image steganalysis”,Elsevier, Journal of Computational Science 21 ,182–188,2017.
- J Anita Christaline, Dr.R.Ramesh, Dr.C.Gomathy, D. Vaishali, “Nature inspired metaheuristics for improved JPEG steganalysis”, Multimed Tools Appl. ,2017,DOI 10.1007/s11042-017-4983-4
- J Anita Christaline, D. Vaishali, Dr.R.Ramesh, “Optimized JPEG Steganalysis”, International Journal of Multimedia and Ubiquitous Engineering, SERSC, Vol.11, No.1 , pp.385-396,2016.
- J Anita Christaline, D. Vaishali, Dr.R.Ramesh, “CRITICAL REVIEW OF IMAGE STEGANALYSIS TECHNIQUES”, International Journal of Advanced Intelligence Paradigms (IJAIP), Inder Science Publishers, Vol. 7, No. 3/4, 2015.
- D. Vaishali, S. Joselyn Steffy, “Target Localization Based On RSSI using wireless sensor network”, International Journal of Applied Engineering Research (IJAER), International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 10 No.26 ,2015.
- D. Vaishali, Dr.R.Ramesh, J Anita Christaline, “Histopathology Image Analysis and Classification for Cancer Detection using 2D Autoregressive Model”, IRECOS. Vol. 10. No2., Pp. 182-188,2015
- J Anita Christaline, D. Vaishali, Dr.R.Ramesh, “Steganalysis with Classifier Combinations”, ARPN Journal of Engineering and Applied Sciences. Pg. 2858 – 2863. Vol. 9. No.12, 2014.
- D. Vaishali, Dr.R.Ramesh, J Anita Christaline, “2D Causal ARMA Model for Texture Analysis, Synthesis and Classification”, International Journal of Applied Engineering Research. Pg. 16317 – 16328. Vol. 9, No.22, 2014.
- Anita Christaline. J., Ramesh. R., Vaishali. D., “Parametric Evaluation of Images for Classification in view of Steganalysis”, International Journal of Engineering Research & Technology (IJERT), Vol. 3 Issue 2, ISSN: 2278-0181, 2014.
- 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.
- With Dr. A. Shirly Edward. “Assessing Mental Health: A comprehensive study on stress, depression, and neurological disease detection in students”
- 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
- Associate Member of Institution of Electronics and Telecommunication Engineers (A.M.I.E.T.E), New Delhi
- A lifelong member of ISTE
- Member of IET
- Membership of ISCA