CV

Education

• Ph.D in Computer Science, Kansas State University, 2019 (expected)
• M.S. in Computer Science, University of North Texas, 2017
• B.S. in Computer Engineering, Nagpur University, India, 2010

Skills

• Deep Learning, Machine Learning, and Computer Vision
• Languages
  • JAVA
  • MATLAB
  • Python
• CAFFE, Word2Vec, Weka, WordNet, OpenCV

Work experience

• Research Assistant: August 2017 - present
  • Kansas State University
  • Image privacy prediction using Deep Learning
    • Achieved an accuracy of 88% that is better than the state of the art results.
    • Developed a mechanism for privacy-aware tag recommendation to reduce human effort.
    • Incorporated context of the image for privacy prediction.
    • Identified the set of most competent features for a target image.
  • Supervisor: Dr. Cornelia Caragea
• Graduate Intern: May 2017 – Aug 2017
  • Intel Corporation
  • Bot solutions venture
    • Developed age classification using skeleton based features.
    • Calculated depth of an object using multiple cameras.
  • Health and Wellness solutions venture
    • Recommended solutions based on user’s profile obtained from an external customer.
  • Supervisor: Erin Carroll, Daniel Weinstein
• Research Assistant: Sept 2014 - May 2017
  • University of North Texas
  • Image privacy prediction using Deep Learning
  • Untangled
    • Worked on a game designed to uncover human mapping strategies to develop energy efficient electrical circuits. In that, players are required to form a compact grid for the graphs.
    • Developed an algorithm to obtain compact grid for structurally similar graphs.
  • Supervisor: Dr. Cornelia Caragea, Dr. Gayatri Mehta
• Software Engineer: Oct 2012 - July 2014
  • Quick Heal Technologies Pvt. Ltd., India
  • Malware scan engine using Machine Learning
    • Built a malware scan engine using a machine learning algorithm.
    • Designed an automatic filter generation tool for given malicious clusters.
    • Performed unit testing, bug fixing and code reviews.
  • Supervisor: Harshad Bhujbal
• Project Engineer: Mar 2011 - Sept 2012
  • Centre for Development of Advanced Computing (C-DAC), India
  • Image search
    • Developed and maintained face and logo detection modules for a content-based image retrieval.
    • Designed an algorithm for fast rotation invariant face detection based on contours.
    • Conducted knowledge transfer sessions and mentored interns on image processing projects.
  • Supervisor: Sudesh Mudliar

Publications

Image Privacy Prediction Using Deep Features

Ashwini Tonge and Cornelia Caragea. (2016). "Image Privacy Prediction Using Deep Features." In Proceedings of the 30th American Association for Artificial Intelligence (AAAI 2016), Student Abstract and Poster Program, USA, 2016. Selected as a *finalist* in SA-16. .

Image Privacy Prediction Using Deep Features.

Ashwini Tonge and Cornelia Caragea. (2016). "Image Privacy Prediction Using Deep Features." In The Grace Hopper Celebration of Women in Computing (GHC 2016), Houston, TX, USA, 2016 .

DeepPrivate: Accurate Prediction of Images’ Privacy on the Web

Ashwini Tonge and Cornelia Caragea. (2016). "DeepPrivate: Accurate Prediction of Images Privacy on the Web." In: Proceedings of the 11th Women in Machine Learning Workshop, Co-located with the Neural Information Processing Systems Conference (WiML 2016), Barcelona, Spain, 2016 .

Identifying Private Content for Online Image Sharing

Ashwini Tonge. (2018). "Identifying Private Content for Online Image Sharing." In Proceedings of the 32nd American Association for Artificial Intelligence (AAAI 2018), Doctoral Consortium, USA, 2018 .

Uncovering Scene Context for Predicting Privacy of Online Shared Images

Ashwini Tonge, Cornelia Caragea, and Anna Squicciarini. (2018). "Uncovering Scene Context for Predicting Privacy of Online Shared Images." In Proceedings of the 32nd American Association for Artificial Intelligence (AAAI 2018), Student Abstract and Poster Program, USA, 2018 .

On the Use of Deep Features for Online Image Sharing

Ashwini Tonge, & Cornelia Caragea. (2018). On the Use of Deep Features for Online Image Sharing. In Companion Proceedings of the The Web Conference 2018, 329-343.

Uncovering Scene Context for Predicting Images Privacy

Ashwini Tonge, Cornelia Caragea and Anna Squicciarini. (2018). "Uncovering Scene Context for Predicting Images Privacy." In The Grace Hopper Celebration of Women in Computing (GHC 2018), Houston, TX, USA, 2018 .

Privacy-Aware Tag Recommendation for Image Sharing

Ashwini Tonge, Cornelia Caragea, and Anna Squicciarini. (2018). "Privacy-Aware Tag Recommendation for Image Sharing." In HT ’18: 29th ACM Conference on Hypertext and Social Media, July 9–12, 2018, Baltimore, MD, USA. ACM, New York, NY, USA, 5 pages.1(1)

Achievements and Awards

• AAAI Conference on Artificial Intelligence Scholar 2018.
• KSU GSC Travel Award 2018.
• Grace Hopper Celebration (GHC) 2016 Scholar.
• Scholarship from AAAI Conference on Artificial Intelligence 2016.
• Toulouse Graduate School (TGS) Tuition Benefit Scholarship 2015-16, 2016-17.
• Academic Achievement Scholarship 2016-17.
• TGS Summer Scholarship 2016.
• College of Engineering Graduate Scholarship 2014-15.