Towards Frequency-Based Explanation for Robust CNN
Rawal V., Wang Z., Yang Y., Shrivastava A.,Ding Z., "Towards Frequency-Based Explanation for Robust CNN"
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Education
- Bachelors of Technology (Hons.) in Computer Science, IIT Kharagpur, 2013 - 2017
- Masters of Science in Machine Learning, Carnegie Mellon University, 2019 - 2020
Work Experience
- Summer 2020: ML Research Intern
- Qeexo Co., Pittsburgh PA
- AutoML - App for ML on Sensor-Data: Worked on off-device and on-device Real-Time Clustering on Sensor data & Visualization
- Supervisor: Dr. Rajen Bhatt
- Fall 2020: Research Assistant
- Carnegie Mellon University, Pittsburgh PA
- Management, Development, Improvement and Maintenance of iOS & Android App for Research-oriented Deployment
- Supervisor: Dr. Beibei Li
- June, 2017 - Aug, 2019 : Senior Software Development Engineer (SDE II)
- Adobe Systems Noida, India, Noida, India
- Vector Graphics Editing App: Development of vector image editing iOS app based on Adobe Illustrator, in particular on Pen, Direct Selection and Snapping tool.
- Experience Manager: Handled both front-end and back-end aspects of Interactive Communication Applications, Data Integration Services, Document Fragment and Letter-based Services, as a part of cloud suite solution for business process automation services
- May 2016 - July, 2016 : Research Intern, Bachelor’s Summer Training
- Adobe Big-Data Experience Lab (BEL), Adobe Research Bangalore, India
- Data Analytics: Analytics of Multi-Channel Customer Data using Applied Machine Learning models and to predict customer affinity comparisons for interaction in a specific channel, given limited information of interaction across other channels too.
- May 2015 - June, 2015 : Research Intern (UG Summer Training)
- IBM India Research Laboratory (IRL), New Delhi, India
- Semantic Knowledge Graph: Supervised Training and Blended Learning for construction of Knowledge Graph model by discovering relations and establishing links between graph nodes; Used text-mining tools; Entity-Extraction, Part-of-Speech Tagging and Similarity Detection to obtain 3D visualization of the growing Knowledge Graph.
Skills
- Languages:
- Programming : Python, C/C++, JAVA, R, MATLAB, Spark
- Scripting : Javascript, jQuery, HTML5, CSS, PHP, JSP, MySQL
- Software Experience: Eclipse, IDEA IntelliJ, Netbeans, R-Studio, MATLAB, GNU Octave, SolidWorks
- Technologies:
- ML Frameworks : Tensorflow, Numpy, OpenCV, Scikit-learn, Caffe, PyTorch
- Domain : J2EE, Restful Web Services, Adobe AEM 6.3, Apache Sling, Apache Felix, OSGi Framework
Publications
Supporting Throughput Fairness in IEEE 802.11ac Dynamic Bandwidth Channel Access: A Hybrid Approach
R. Karmakar, V. Rawal, P. K. Bishoyi, S. Chattopadhyay and S. Chakraborty, "Supporting Throughput Fairness in IEEE 802.11ac Dynamic Bandwidth Channel Access: A Hybrid Approach," 2017 IEEE 42nd Conference on Local Computer Networks (LCN), Singapore, 2017, pp. 462-470, doi: 10.1109/LCN.2017.93.
Projects
Workshops
Awards
Service and leadership
- November 2013 - February 2017: Core Member, K.R.A.I.G. (Kharagpur Robotics and Artificial Intelligence Group), Technical Wing of Technology Robotics Society at IIT Kharagpur
- June - November 2016: Worked as a team member for AUV (Autonomous Underwater Vehicle) Group, IIT Kharagpur
- January - April 2017: Functioned as Team Captain, for OPENSOFT 2017 Team, M.S. Hall at IIT Kharagpur
- July 2013 - April 2015: Successfully completed the NCC (National Cadet Corps) training under the unit 4(A) BNCC: Air Wing
- July - November 2016: Appointed as Teaching Assistant and Student Mentor at the CSE Department at IIT Kharagpur