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Vidyadhar Rao
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My research interests span in computer science, algorithms and statistics. More specifically, I solve computational problems; design, develop & deploy high-performance algorithms to build scalable, resilient systems.
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Bachelor's degree (B.Tech), Computer Science and Engineering, 2006 - 2010, IIIT Hyderabad Teaching Assistant for Formal Methods, Spring 2010 Research Project: Privacy Preserving Collaborative Anti-Spam Filter, 2009
Master's degree (M.Sc by Research), Computer Science and Engineering, 2012-2015, IIIT Hyderabad Teaching Assistant for Complexity and Advanced Algorithms, Monsoon 2014 Research Assistant: Center for Visual Information Technology Thesis: Diversity in Image Retrieval using Randomization and Learned Metrics Assistant Professor, 2010-2012, KIIT University
CS701: Artificial Intelligence, Monsoon 2010 CS403: Principles of Programming Languages, Spring 2011 CS505: Theory of Computation, Monsoon 2011 CS601: Compiler Design, Spring 2012 Granted Patents
System and method for generating HMI graphics, US11734803B2
Method and control system for delivering rolling stock to a cooling bed, CN113492157B Method and system for analyzing unstructured data for compliance enforcement, US11113259B2 Method and system for controlling movement of metal product in a metal processing plant, WO2021014202A1 (Note: This is a WIPO PCT patent) Publications
Machine Vision based Automation to Improve Process and Quality Control in Rolling Mills, ETFA 2020
Vidyadhar Rao, S Shishira, Sithu D Sudarsan, In Proceedings of 25th International Conference on Emerging Technologies and Factory Automation (ETFA '2020)
Proximity Contours: Vision based Detection and Tracking of Objects in Manufacturing Plants using Industrial Control Systems, INDIN 2019
S Shishira*, Vidyadhar Rao*, Sithu D Sudarsan, In Proceedings of IEEE IES 17th International Conference on Industrial Informatics.
Divide and Transfer: Understanding Latent Factors for Recommendation Tasks, RecSys 2017
Vidyadhar Rao, KV Rosni, Vineet Padmanabhan, In Proceedings of Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning, RecSysKTL, ACM RecSys
Diverse Yet Efficient Retrieval using Locality Sensitive Hashing, ICMR 2016
Vidyadhar Rao, Prateek Jain, and C. V. Jawahar, In Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval.
Learning Metrics for Diversity in Instance Retrieval, NCVPRIPG 2015
Vidyadhar Rao, Ajitesh Gupta, Visesh Chari, C.V.Jawahar, In 5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics.
Semi-Supervised Clustering by Selecting Informative Constraints, PReMI 2013
Vidyadhar Rao, C.V.Jawahar, In 5th International Conference on Pattern Recognition and Machine Intelligence. Springer Berlin Heidelberg.
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