Ramunaidu Randhi

Associate Professor, Department of Mathematics

Research Interest:

  • Sparse Representation Theory (Compressed Sensing)
  • Deep Learning and Model-based AI
  • Machine Learning
  • Finite Frame Theory
   

Connect


  • ramu.math@iipe.ac.in 

Teaching Interests

  • BS10001- Engineering Mathematics-I
  • BS10007- Engineering Mathematics-II
  • BS20001- Transform Calculus, Probability & Statistics
  • PE20006- Advanced Statistical Techniques

Education

  •   Ph.D: Indian Institute of Technology Hyderabad, Hyderabad (Jan 2011 – Aug 2015)
  •   M.Sc: University of Hyderabad, Hyderabad (Aug 2006 – May 2008)

Professional Experience


  • Associate Professor: Indian Institute of Petroleum and Energy, Visakhapatnam (March 2024-Till date)
  • Assistant Professor: Indian Institute of Petroleum and Energy, Visakhapatnam (July 2018 – March 2024)
  • Postdoctoral Fellow: Technion – Israel Institute of Technology, Israel (Aug 2017 – Dec 2017)
  • Postdoctoral Fellow: Indian Institute of Science, Bangalore (Feb 2018 – June 2018 & Oct 2015 to Aug 2017)


Journal Publications

  • R. Ramu Naidu, P. V. Jamapana and C. S. Sastry, “Deterministic Compressed Sensing Matrices: Construction via Euler squares and applications,” IEEE Transactions on Signal Processing, vol. 64, no. 14, pp. 3566 - 3575, 2016. (IF: 5.23)
  • R. Ramu Naidu and Chandra R. Murthy, ``Construction of binary sensing matrices using extremal set theory,” IEEE Signal Processing Letters, vol. 24, no.2, pp. 211-215, 2017. (IF: 3.26)
  • R. Ramu Naidu and Chandra R. Murthy, `` Construction of unimodular tight frames using majorization-minimization for compressed sensing,” Elsevier Signal Processing, vol. 172, pp. 107516, 2020. (IF: 4.38) 
  • M. Srinivas, R. Ramu Naidu, C. S. Sastry, and C. Krishna Mohan, “Content-based medical image retrieval using dictionary learning,” Neurocomputing Elsevier Journal, vol. 168, pp. 880 - 895, 2015. (IF: 4.07) 
  • Pradip Sasmal, R. Ramu Naidu and C. S.Sastry and P. V. Jamapana, “Composition of binary compressed sensing matrices,” IEEE Signal Processing Letters, vol. 23, no. 8, pp. 1096-1100, 2016. (IF: 3.26)
  • R. Ramu Naidu, M. Srinivas, and C. S. Sastry, ``Complaint ternary matrices based on Restricted isometry property: Construction and application to image retrieval,” J. of Combinatorics, Information & System Sciences, vol. 44, pp. 289-298, 2019
  • B. S. Shaik, Pradyumna Pradhan, W. Pu, R. Ramu Naidu, Miguel R. D. Rodrigues, and Yonina C. Eldar, ''Optimization guarantees of unfolded ISTA and ADMM networks with smooth soft thresholding, " IEEE Transactions on Signal Processing, vol. 72, pp. 3272-3286, 2024.
  • Pradyumna Pradhan, Shubham Kumar Jain, Pradip Sasmal, and Ramu Naidu Randhi, ``Deterministic Construction of Unimodular Tight Frames Consisting Orthogonal Blocks via Block Preserving Operators," Accepted, Signal Processing, Elsevier, 2024.
Under Review:
  • Shubham Kumar Jain, Pradyumna Pradhan, Pradip Sasmal and R. Ramu Naidu, ``Higher Order Chirp Matrices for Compressed Sensing," Under review, 2024.
  • Pradyumna Pradhan, Shubham Kumar Jain, Pradip Sasmal, and Ramunaidu Randhi, ``Non-iterative Sparse Signal Recovery Algorithms for Sparse Matrices and their Guarantees," Under review, 2024.
  • Pagoti Reshma, Srinivas Tenneti, Ramunaidu Randhi and Pradip Sasmal, ``Learned-MAP-OMP: An Unrolled Neural Network for Signal Denoising," Under review, 2024.

Conference Publications


  • Pradyumna Pradhan, B. S. Shaik, R. Ramu Naidu, and Yonina C. Eldar, ``Recursive tail-FISTA for sparse signal recovery," In Proc. of  IEEE ICASSP, 2024.
  • Akash Sen, Pradyumna Pradhan, R. Ramu Naidu, and C. S. Sastry, ``Unrolled Proximal gradient descent method for non-negative least squares," In Proc. of IEEE ICASSP, 2024.
  • R. Ramu Naidu, P. V. Jamapana and C. S. Sastry, “ Multivariable polynomials for the construction of binary sensing matrices,” In Proc. of CMCGS 2014(Springer), Singapore, February 2014
  • R. Ramu Naidu, “Construction of sparse binary sensing matrices using Set Systems,” In Proc. of ICRTMAA 2014 (Springer)
  • M. Srinivas and R. Ramu Naidu, “Sparse approximation of over-determined system for image retrieval application,” In Proc. of ICRTMAA 2014 (Springer)

Research Projects

Ongoing:

1. Title of the project: Models-based Artificial Intelligence Methods for Sparse Signal Recovery: Theory and Applications in Imaging.

Sponsoring agency: NBHM, DAE.

Project duration: 3 Years (May 2023 to May 2026)

Cost of the Project: 16,46,900/-


2. Title of the project: The Role of Uni-modular Tight Frames for Sparse Quadratic and Linear Inverse Problems.

Sponsoring agency: IRG, IIPE Visakhapatnam.

Project duration: 3 Years (April 2022-April 2025)

Cost of the Project: 5,75,000/-


Awards & Honors


  • Dr. K.V. Rao Scientific Society Young Scientist Award in Mathematics in 2013
  • Selected for Technion-Israel Institute of Technology, Israel, Postdoctoral fellowship in 2017
  • Selected for NBHM Postdoctoral fellowship in 2015
  • Qualified CSIR-UGC JRF in Mathematics in 2009
  • Qualified Graduate’s Aptitude Test for Engineering (GATE) in Mathematics in 2008 and 2009
  • Selected for NBHM support towards participating in ICIAM 2015, Beijing, China

Administrative Responsibilities:

  • Academic Senate Member (March 2021 to Till date)
  • PIC-Examination Cell (Jan 2021 to March 2022)
  • Warden (Jan 2019 to Dec 2019)
  • PIC-Sports and Games Committee (July 2019 to Till date)
  • PIC-Photography Club (Oct 2022 to Till date)
  • Equal Opportunity Cell Member (July 2022 to Till date)
  • Course coordinator, Web-based M. Tech. in DS & ML (Aug 2024 to Till date)




Phd Students:

  • Pradyumna Pradhan
  • Pagoti Reshma
  • Sk Md Atique Anwar
  • Mahendra Kumar
  • Srinivas Tenneti

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