Announcements
Name Dr. Sunita Dhavale
DesignationAssistant Professor
Highest Qualification M.Tech. Ph.D
Total Citations221
h-index8
i-index5
e-mail sunitadhavale@diat.ac.in
Office Tel No. 02024304133
Mobile 02024304133
Home pagehttps://svd.gnomio.com/

(Brief Description / Abstract) :

Sunita Vikrant Dhavale, presently associated with Defence Institute of Advanced Technology (DIAT), an autonomous institute under the Ministry of Defence, Pune, as an Assistant Professor in the Department of Computer Engineering. She received her M.E. and Ph.D. degrees in Computer Science from Pune University in 2009 and DIAT University in 2015. She is a recipient of the IETE M. N. Saha Memorial Award for her paper published in the IETE Journal of Research and Outstanding Woman Achiever Award from Venus International Foundation. She was selected as one of the top performers in four weeks AICTE approved Faculty Development Program on ICT tools by IIT, Bombay, in September 2016. She has more than 20 publications in International Journals, International Conference Proceedings, and Book chapters. Her research areas are steganography, digital watermarking, multimedia forensics and security, cyber security. She is a member of many professional bodies, including IEEE, ACM, ISTE, IETE, IAENG, and ISACA.

Education:

  • PhD (Computer Engineering), Defence Institute of Advanced Technology (DU), Pune, (2011-2015)
    Thesis “Digital Watermarking Schemes for Audio Copyright Protection”,
  • ME(CSE-IT),Viswakarma Institute of Technology (VIT), Pune University,
  • BE (Electronics),Walchand Institute of Technology (WIT), Solapur, Maharashtra.

Certification:

  • EC-Council’s Certified Ethical Hacker (CEH-v9)
  • Microsoft Certified Professional for WinNT4.0.
  • Brainbench Certification for Java2 Programming.
  • Seed Infotech Certification for Advance Java Programming Course.    

Professional Experience (Institution, Position and Period):

Research Domains:

  • Cyber Security, Application of Deep/Machine Learning for data analytics

Specific Projects:

  • Product Developed: C3IA (CNN based Covid-19 Chest X-ray Image analysis) tool for abnormal chest X-Ray detection which will aid automated quick analysis for Covid patient detection. (Refer.: http://14.139.111.185:5000/)
  • LSRB research project grant of  Rs. 38,85,894/- for a project entitled “ Intelligent Video-based Human Activity Analysis”, 1.5 years duration, In association with DIPR, DRDO, 2021

Research Datasets: Those who are interested to get educational access to DIAT-µRadHAR dataset, please send an e-mail request to “sunitadhavale@diat.ac.in” mentioning the subject: “DIAT-µRadHAR Dataset Educational Access Request” from their institutional e-mail id. 

DIAT-μRadHAR: Radar micro-Doppler Signature Dataset for Human Activity Recognition Using Deep Learning Architectures. The dataset consists of the following human activity classes;

  • Stone pelting/Grenades throwing
  • Army crawling
  • Army marching
  • Jumping with holding a gun
  • Boxing
  • Army jogging

Research Collaborations:

DIPR, R&DE, INMAS, UWE UK

Ph.D Thesis Supervision:

Year Registration

Name of Research Scholar

Area of Working

Status

2018

Mainak Chakraborty

Deep Learning and Computer Vision

Ongoing

2019

Sudhir Deshmukh

Deep Learning and Computer Vision

Ongoing

2019

Devraj Patel

Deep Learning and Natural language processing

Ongoing

2020

Arun Shejwal

Artificial Intelligence for Cyber Security

Ongoing

M.Tech. Dissertation Supervision:

M. Tech Dissertation Supervision

  • 2011-12, Invariant Image Moments in Image Watermarking and Steganography, 2012
  • 2011-12, Video Watermarking in Mpeg Domain, 2012
  • 2012-13, Temporal Forensics for Motion Compensated Video
  • 2013-14, Application of Phase Space Reconstruction for Covert Channel Detection with IPID and SSRC field
  • 2013-14, Mouse Dynamics based Approach for Biometric Authentication System with SVM
  • 2013-14, Information Leakage Detection Using Data Flow Analysis on Android Devices
  • 2014-15, Image Spam Detection Technique based on Fuzzy Inference System
  • 2014-15, Two Phase Static Analysis Technique for Android Malware Detection
  • 2014-15, Control Flow Graph Based Multiclass Malware Detection Using Binormal Separation
  • 2014-15, Visual Cryptography based Video Watermarking Using MPEG Features
  • 2014-15, Image Encryption Technique based on Chaotic Map
  • 2014-15, Image Watermarking
  • 2015-16, H.264/AVC Video Protection Model based on Private Cloud for Military Organisation
  • 2015-16, From Server to Client: A Variable Filter Image Spam Detection System Based on Gabor Wavelets & Local Phase Quantization
  • 2016-17, Passive Video Forensics for Copy-move Attacks using DWT Spatio-temporal Analysis (D-XTA)
  • 2016-17, Passive Image Forensic for Copy Move Forgery Attack Detection Based On Key Point Extraction Method
  • 2016-17, Kalman Filter Based Prediction using  Multi-sensors Data FusionAnomaly Detection As Potential Military Targets Using Hyperspectral Images
  • 2016-17,  Multimodal Image and text based Spam Detection using Deep Learning
  • 2017-18, Robust image hashing scheme based on Log Polar Transform and Histograms Features
  • 2017-18, Voice Biometric based Secret Key Generation for Encryption of Sensitive Data
  • 2017-18, Static Android Malware Detection Technique
  • 2017-18, Image Steganalysis using Feature Extraction and Ensemble Classifier
  • 2017-18, Points Hostel Management System with Secure Authentication
  • 2018- 19, Intrusion Detection System Using Self-organizing Map andFuzzy C-means
  • 2018- 19, Intelligent Video Based Human Activity Tracking and Analysis forMilitarySurveillance
  • 2018- 19, Anomaly Detector For USB Based Storage
  • 2018-19, Digital Video Watermarking Using Dwt, Dct And Bfo
  • 2019- 20, An Application of Deep Learning Based Human ActivityDetection for Video Surveillance
  • 2019- 20, Logs Analysis for Anomaly Detection Using Deep Learning
  • 2019- 20, Hate Speech Detection from Hindi-English Code-Mixed Textusing Deep Learning
  • 2019- 20, Deep Learning Based Intelligent Intrusion Detection System
  • 2019-20,  Detection of strategic targets of interest in google earthimages using deep learning for defence applications
  • 2019- 20, Face Biometric Identification Using Machine Learning Techniques

Summer/Winter Internships From other institutions Supervision:

Supervision Mini Project for POINTS Scientist

  • 2011, Image Watermarking Resistant to geometric Distortions
  • 2011, Digital Audio Watermarking in Time Domain robust to Random Cropping

 

Other Supervision:

Supervision Mini Project for POINTS Scientist

  • 2011, Image Watermarking Resistant to geometric Distortions
  • 2011, Digital Audio Watermarking in Time Domain robust to Random Cropping

 

Research Publications from 2010 to 2020:

Books Total Journals Articles Articles published in SCOPUS / Web of Science Index Journals Books Chapter Articles published in the Conference Volumes Registered Patent
2 15 4 20

Research Publications:

Books:

  • Dr. SunitaDhavale, “Advanced Image-Based Spam Detection and Filtering Techniques”. USA: IGI Global,  2017. (ISBN-9781683180135).
  • Dr. SunitaDhavale, “Constructing and Ethical Hacking Knowledge Base for Threat Awareness and Prevention.” USA: IGI Global, 2019. (ISBN-9781522576280)

 

 

Journal Articles:

In 2010

  •  S Dhavale and SN Mali, “High Capacity Secured Adaptive EPR Data Hiding with Integrity Checking Using CDCS” International Journal of Computational Science (IJCS)  Jan 2010.

In 2011

  • S Dhavale, ”High Capacity, Robust And Secured EPR Data Hiding In Medical Images Using CDCS And Adaptive Embedding With Integrity Checking.”  ACEEE International Journal on  Signal and  Image Processing, Vol. 02 (1) Jan 2011.

In 2012

  • Sunita V. Dhavale, Rajendra S. Deodhar and L. M. Patnaik, “Lossless Audio Watermarking based on the Alpha Statistic Modulation”, International journal of Multimedia Applications,(IJMA), , Vol.4 (4), August 2012.  pp. 109-119.

In 2013

In 2014

  • Sunita V. Dhavale, Rajendra S. Deodhar, Debasish Pradhan and L. M. Patnaik, “High Payload Adaptive Audio Watermarking based on Cepstral Feature Modification”, International Journal of Information Hiding and Multimedia Signal Processing (JIHMSP). Vol. 5 (4) Oct 2014. pp. 586-602.
  • Sunita V. Dhavale, Rajendra S. Deodhar, DebasishPradhan and L. M. Patnaik,“Fuzzy Logic based Adaptive Quantization Index Modulation for Watermarking.” International Journal of Image, Graphics and Signal Processing (IJIGSP). Vol. 6 (3), 2014.  pp. 1-11.

In 2015

  • Sunita V. Dhavale, Rajendra S. Deodhar, DebasishPradhan and L. M. Patnaik, “State Transition Based Embedding in Cepstrum Domain for Audio Copyright Protection”, IETE Journal of Research, Vol. 61 (1), 2015. pp. 41-55.  IF 0.189.

In 2016

  • Sunita V. Dhavale, Rajendra S. Deodhar, DebasishPradhan and L. M. Patnaik, “A Robust Zero Watermarking Algorithm for Stereo Audio Signals”, International Journal of Information and Computer Security. November 2016.
  • SunitaDhavale and BhushanLokhande, “Comnoid: Information Leakage Detection using Data Flow Analysis on Android Devices.” International Journal of Computer Applications. Vol. 134 (7), January 2016. pp.15-20.
  • AkshayKapoor and Sunita V. Dhavale, “Control Flow Graph Based Multiclass Malware Detection Using Bi Normal Separation”, Defence Science Journal. Vol. 66 (2), March 2016. pp. 138-145, IF 0.29.

In 2020.

  • Tanveer, SunitaDhavale, MM Kuber, “Performance analysis of Inception v2 and Yolov3 based Human Activity Recognition in Videos.” Computer Science, April 2020. pp 1-7.

In 2021.

  • Chakraborty, M., Dhavale, S.V. & Ingole, J. Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection. Appl Intell 51, 3026–3043 (2021). https://doi.org/10.1007/s10489-020-01978-9

Book Chapters:

  • Adrita Barari and SunitaDhavale. Video Saliency Detection for Visual Cryptography based Watermarking, Section 1, Chapter 6. In. “Innovative Research in Attention Modelling and Computer Vision Applications Book”. Ed by Rajarshi Pal. USA: IGI Global Publisher, Advances in Computational Intelligence and Robotics book Series. 2015. pp. 132-170.
  • Sunita Dhavale. Insiders Attack Analysis in Building an Effective Cyber Security for an Organization. In “Psychological and Behavioral Examinations in Cyber Security”. Ed. By______. USA: , IGI Global, 2018, (E-book – ISBN- 9781522540533).
  • Sunita Dhavale. Insiders Attack Analysis in Building an Effective Cyber Security for an Organization. In “Cyber Law, Privacy, and Security: Concepts, Methodologies, Tools, and Applications” Ed. By ________.2019.
  • Adrita Barari and SunitaDhavale. Video Saliency Detection for Visual Cryptography based Watermarking. Chapter 30.  In Cryptography: Breakthroughs in Research and Practice. Ed by______. USA: IGI Global Publisher, 2020.  pp. 498-537.

Conference Papers:

No. of Conference Paper Published with ISBN

No.  of  Conference Paper Presented

No. of Conference Attended

05

18

 

Conference Papers:

  • Mainak Chakraborty, Alik Pramanick, Sunita Vikrant Dhavale, Mobi Samadhaan. “Intelligent Vision-based Smart City solution.” In. International Conference on Innovative Computing and Communications. In. International Conference on Innovative Computing and Communications. Ed. By D. Gupta and Others. Singapore: Springer Nature, 2020. Pp.__. (ISBN      ).
  • Mainak Chakraborty, Alik Pramanick, Sunita Vikrant Dhavale. “Two-Stream Mid-Level Fusion Network for Human Activity Detection. In. International Conference on Innovative Computing and Communications. Ed. By D. Gupta and Others. Singapore: Springer Nature, 2020. Pp.__. (ISBN      ).
  • Santosh Kumar, Rakesh BahadurYadav, Sunita V. Dhavale. “ A Comparison of Pre-trained Word Embeddings for Sentiment Analysis Using Deep Learning.” In. International Conference on Innovative Computing and Communications. Ed. By D. Gupta  and Others. Singapore: Springer Nature, 2020. Pp.__. (ISBN   )
  • Sunita V. Dhavale. C-ASFT: Convolutional Neural Networks based Anti-Spam Filtering Technique.” In. Proceeding of International Conference on Computational Science and Applications. Ed. By_____. Springer, Algorithms for Intelligent Systems series. Springer. 2019. pp.__. (ISBN 978-981-15-0790-8). (Received best paper award).
  • Sunita V. Dhavale, Rajendra S. Deodhar, DebasishPradhan and L. M. Patnaik, “Robust Multiple Stereo Audio Watermarking for Copyright Protection and Integrity Checking”, In Proceedings of Third International Conference on Computational Intelligence and Information Technology. Ed by ____.  Mumbai: CIIT, 2013.  pp. 9-16. (ISBN___).

Research/Review Submitted/Under Review:

  • Journal entitled “DIAT-μSAT: Small Aerial Targets’ micro-Doppler Signatures and their Classification using CNN” accepted for publication in IEEE Geoscience and Remote Sensing Letters (IF  3.966 )
  • The book chapter entitled "Two-stage Deep Learning Architecture for Chest X-ray based COVID-19 Prediction" is accepted in the book chapter entitled "Advances in Deep Learning for Medical Image Analysis" to be published by CRC-Press, Taylor & Francis Group.
  • Journal entitled “DIAT-μRadHAR: Radar micro-Doppler Signature Dataset for Human Activity Recognition Using Deep Learning Architectures” submitted for publication in  IEEE Sensors Journal  (IF  3.301).

Any Publications Submitted/Under Review:

Invited Talks:

Patents:

Awards/Scholastic Achievements:

  • Dr.Sunita V. Dhavale Mentored DIAT team “Age_of_Ultron” comprising six students of CSE Department - Mr. Sudhir Deshmukh, Ph.D. student (Team Leader), and other MTech Students whose entry is selected for the prestigious Smart India Hackathon-2020 (an initiative of the Ministry of Human Resource Development (MHRD) grand finale – software edition.
  • Dr.Sunita V. Dhavale received the best paper award for her authored a paper titled “C-ASFT: Convolutional Neural Networks based Anti-Spam Filtering Technique”, presented in INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND APPLICATIONS (ICCSA) 2019, MIT, WPU, Pune, 7-9 Aug 2019, Proceeding of International Conference on Computational Science and Applications is published in Springer AIS (Algorithms for Intelligent Systems) series Book, Pages49-55 (Dhavale S. (2020) C-ASFT: Convolutional Neural Networks-Based Anti-spam Filtering Technique. In: Bhalla S., Kwan P., Bedekar M., Phalnikar R., Sirsikar S. (eds) Proceeding of International Conference on Computational Science and Applications. Algorithms for Intelligent Systems. Springer, Singapore)
  • Dr. Sunita V. Dhavale selected as Mentor of Change’ for the Government of India’s flagship program of Atal Tinkering Labs (ATLs), established by the Atal Innovation Mission, NITI Aayog. May 18, 2019. Mentor of Change Program is a strategic nation building initiative to engage leaders who can guide and mentor students in thousands of Atal Tinkering Labs that Atal Innovation Mission has established/is in the process of establishing across India.
  • Dr.Sunita V. Dhavale Mentored DIAT team “DCSE_AVENGERS1” comprising six students of CSE Department - Mr. MainakChakraborty, Ph.D. student (Team Leader), AlikPramanick, Tanveer Mustafa, NitinMundhe, Chinju Shaji and GunamoniPhukan who won the prestigious Smart India Hackathon-2019 (an initiative of the Ministry of Human Resource Development (MHRD) grand finale – software edition, Mar 2019.
  • Dr. Sunita V. Dhavale received an NVIDIA hardware research grant (GPU TITAN V) costing approximately Rs. 3,67,000/- by NVIDIA Coorporation to support her research work in the application of deep learning techniques for video-based human activity detection, Dec 2018.
  • Dr. Sunita V. Dhavale completed an online 8-weeks NPTEL MOOC course on Introduction to Machine learning, IIT Madras, Aug 2018 to Oct 2018, and is in the top 5% of the performers (with Elite Tag) in this course by securing 78% marks in the final evaluation. 8 weeks online is equivalent to 1-week AICTE approved FDP.
  • Dr. SunitaDhavale is selected as one of the top performers in Four Week online FDP titled“FDP301x : Mentoring Educators in Educational Technology”, organized by PanditMadan Mohan Malaviya National Mission for Teachers and Teaching (PMMMNMTT), MHRD, GoI, IIT Bombay, during May 17th, 2018 to June 27th, 2018.
  • Dr. Sunita Dhavale is selected as one of the top performers in Four Week AICTE approved online FDP by IIT Bombay on - Use of ICT in Education for Online and Blended Learning, May 2nd, 2016 to July 10th, 2016
  • Dr. Sunita Dhavale authored a research paper titled, “State Transition Based Embedding in Cepstrum Domain for Audio Copyright Protection” published in IETE Journal of Research Vol 61 No 1, Jan-Feb 2015 issue, received IETE-M N Saha Memorial Award -2016as Best Application Oriented Paper, 25thSeptember-2016. The co-authors of the paper are Dr. R. S. Deodhar, Prof. L. M. Patnaik, and Dr. DebasishPradhan.
  • Dr. SunitaDhavale Received Outstanding Women Achiever Award for Engineering Category by VENUS International Women Awards (VIWA-2016), March 2016.

Government Funded Projects:

  • LSRB research project grant of  Rs. 38,85,894/- for a project entitled “ Intelligent Video-based Human Activity Analysis”, 1.5 years duration, In association with DIPR, DRDO, 2021

Any Other:

Professional membership of associations:

  • ISTE, ACM, ISACA, IETE, IEEE, International Association of Engineers (IAENG), AAAI(Association for the Advancement of Artificial Intelligence),