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Ramarathnam Venkatesan

Ramarathnam Venkatesan

D-Index & Metrics

Computer Science

D-Index
61
Citations
11671
World Ranking
3125
National Ranking
1519

Overview

Ramarathnam Venkatesan is affiliated with Microsoft in the United States, contributing primarily to the fields of Computer Science and Engineering. Within these main disciplines, their research has a noticeable focus on subfields such as Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, and Plant Science.

Their scholarly work extensively explores topics including AI in cancer detection, blockchain technology applications and security, brain tumor detection and classification, advanced steganography and watermarking techniques, user authentication and security systems, software engineering research, and software reliability and analysis research.

Frequent publication venues for Venkatesan include the Journal of Ambient Intelligence and Humanized Computing, the 2021 International Conference on System, Computation, Automation and Networking (ICSCAN), the International Journal of Intelligent Enterprise, the International Journal of Cloud Computing, and Applied Soft Computing.

Recent papers authored or coauthored by Venkatesan cover a spectrum of topics and were published between 2020 and 2024:

  • RETRACTED ARTICLE: Hyperparameters tuning of ensemble model for software effort estimation, 2020, Journal of Ambient Intelligence and Humanized Computing
  • Balancing composite motion optimization using R-ERNN with plant disease, 2024, Applied Soft Computing
  • An Internet of Medical Things-Based Mental Disorder Prediction System Using EEG Sensor and Big Data Mining, 2024, Journal of Circuits Systems and Computers
  • RETRACTED ARTICLE: Improved performance accuracy in detecting tumor in liver using deep learning techniques, 2020, Journal of Ambient Intelligence and Humanized Computing
  • Optimized Pyramidal Convolution Shuffle attention neural network based fetal cardiac cycle detection from echocardiograms, 2024, Biomedical Signal Processing and Control

Venkatesan regularly collaborates with a set of colleagues, with frequent coauthors including S. Prabu, G. Megala, P. Swarnalatha, N. Balaji, and Kaneswaran Anantharajah. These collaborations are evident across multiple research outputs, contributing to a cohesive research profile.

Best Publications

  • Robust image hashing

    R. Venkatesan;S.-M. Koon;M.H. Jakubowski;P. Moulin

  • Synthesis of loop-free programs

    Sumit Gulwani;Susmit Jha;Ashish Tiwari;Ramarathnam Venkatesan

  • Hardness of Computing the Most Significant Bits of Secret Keys in Diffie-Hellman and Related Schemes

    Dan Boneh;Ramarathnam Venkatesan

  • Robust perceptual image hashing via matrix invariants

    S.S. Kozat;R. Venkatesan;M.K. Mihcak

  • Oblivious hashing: A stealthy software integrity verification primitive

    Yuqun Chen;Ramwarathnam Venkatesan;Matthew Cary;Ruoming Pang

  • Breaking RSA may not be equivalent to factoring

    Dan Boneh;Ramarathnam Venkatesan

  • Recognizer of audio-content in digital signals

    M. Kivanc Mihcak;Ramarathnam Venkatesan

  • Program analysis as constraint solving

    Sumit Gulwani;Saurabh Srivastava;Ramarathnam Venkatesan

  • New Iterative Geometric Methods for Robust Perceptual Image Hashing

    Mehmet Kivanç Mihçak;Ramarathnam Venkatesan

  • A Graph Theoretic Approach to Software Watermarking

    Ramarathnam Venkatesan;Vijay V. Vazirani;Saurabh Sinha

  • Orthogonal Security With Cipherbase

    Arvind Arasu;Spyros Blanas;Ken Eguro;Raghav Kaushik

  • Passive and active software objects containing bore resistant watermarking

    Ramarathnam Venkatesan;Yacov Yacobi

  • Perfect Zero-Knowledge Arguments for NP Using Any One-Way Permutation

    Moni Naor;Rafail Ostrovsky;Ramarathnam Venkatesan;Moti Yung

  • License-based cryptographic technique particularly suited for use in a digital rights management system for controlling access and use of bore resistant software objects in a client computer

    Ramarathnam Venkatesan;Yacov Yacobi

  • Founding cryptography on tamper-proof hardware tokens

    Vipul Goyal;Yuval Ishai;Amit Sahai;Ramarathnam Venkatesan

  • Robust and stealthy video watermarking into regions of successive frames

    Ramarathnam Venkatesan;M. Kivanc Mihcak

  • Encrypting a digital object on a key ID selected therefor

    Marcus Peinado;Ramarathnam Venkatesan

  • Dhwani: secure peer-to-peer acoustic NFC

    Rajalakshmi Nandakumar;Krishna Kant Chintalapudi;Venkat Padmanabhan;Ramarathnam Venkatesan

  • System and method for hashing digital images

    Ramarathnam Venkatesan;Say-Ming William Koon

  • Security preserving amplification of hardness

    Oded Goldreich;Russell Impagliazzo;Leonid Levin;Ramarathnan Venkatesan

  • New iterative geometric methods for robust perceptual image hashing

    M. Kivanc Mihcak;Ramarathnam Venkatesan

Frequent Co-Authors

William Aiello
William Aiello University of British Columbia
Donald Kossmann
Donald Kossmann Microsoft (United States)
Ilya Mironov
Ilya Mironov Google (United States)
Arvind Arasu
Arvind Arasu Microsoft (United States)
Sumit Gulwani
Sumit Gulwani Microsoft (United States)
Mihir Bellare
Mihir Bellare University of California, San Diego
Marcus Peinado
Marcus Peinado Microsoft (United States)
Kristin E. Lauter
Kristin E. Lauter Microsoft (United States)
Rafail Ostrovsky
Rafail Ostrovsky University of California, Los Angeles
Ruoming Pang
Ruoming Pang Google (United States)

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