Subrahmanya Keremane Narayan

Profile Photo

Address: SL-211, Southern Labs, IIT Kanpur


LinkedIn
Google Scholar
ResearchGate

Welcome to My Webpage!

I am a passionate educator with a strong commitment to advancing the frontiers of research in the dynamic fields of optical metrology, deep learning, optimization techniques, and parallel computing.

My current research primarily focuses on practical applications in nanoscale topography, 3D surface profiling, defect identification, and deformation analysis. By leveraging the synergy between signal processing, optical techniques, and advanced computational algorithms, I believe we can unlock new potentials across a range of real-world applications.

Education

Degree: Ph.D. in Electrical Engineering (Photonics) [2021 - 2024]
Institution: Indian Institute of Technology Kanpur, Uttar Pradesh
Thesis: Investigation of non-uniform amplitude interferograms using deep learning and optimization techniques
Supervisor: Dr. Rajshekhar Gannavarpu
Degree: M.Tech. in Communication Engineering (Gold Medalist) [2008 - 2010]
Institution: National Institute of Technology Karnataka, Surathkal
Thesis: Multiple-Input Multiple-Output (MIMO) Radar: Detection of slow moving targets
Supervisor: Dr. Debasish Deb and Dr. U. Shripathi Acharya
Degree: B.E. in Electronics and Communication Engineering [2003 - 2007]
Institution: RV College of Engineerning, Bengaluru, Karnataka
Thesis: Linear Predictive Coder/Decoder (LPC) using MATLAB
Supervisor: Dr. M. Uttarakumari

Professional Experience

Assistant Professor [Aug 2017 -- Present]
RV College of Engineering, Bengaluru, Karnataka
  • Conducted research on photonic devices, supervised undergraduate projects, published papers in reputed journals.
  • Executed consultancy project on “Reliability Testing of RPi” in association with TE Connectivity, Pune.
Assistant Professor [Mar 2014 -- Aug 2017]
Gogte Institute of Technology, Belagavi, Karnataka
  • Guided 3 PG and 3 UG projects, including 1 UG project titled A novel artificial neural network to detect chlorine residual in water distributed system sponsored by KSCST during 2014-15.
  • Mentored a project titled Enhancement of automobile fuel efficiency using microcontrollers sponsored by Dept. of IT and BT, Govt. of Karnataka funded with Rs. 3Lac, which eventually culminated in a student patent.
Senior Engineer [Sep 2010 -- Feb 2014]
L.G. Electronics India Pvt. Ltd., Pune, Maharashtra
  • Supervised the creation and orientation of BOM (Bill of Materials) using GERP, and led the new product introduction process.
  • Conducted failure analysis and troubleshooting for consumer electronics, and executed qualification plans for component sourcing, resulting in cost savings.
Project Trainee [May 2009 -- Dec 2009]
LRDE, DRDO, Bengaluru, Karnataka
  • Completed a project titled Multiple-Input Multiple-Output (MIMO) Radar: Detection of slow moving targets.
  • Initial successful implementation of radar application to simulate a practical channel characterized by Weibull-distributed clutter, focusing on slow-moving targets.

Publications

Journals

  1. Subrahmanya Keremane Narayan and Rajshekhar Gannavarpu, Simultaneous estimation of multiple order phase derivatives using deep learning method in digital holographic interferometry, Optics and Lasers in Engineering, 184, 108583, 2025. https://doi.org/10.1016/j.optlaseng.2024.108583
  2. Subrahmanya Keremane Narayan, Dhruvam Pandey, Allaparthi Venkata Satya Vithin, and Rajshekhar Gannavarpu, Robust method to process nonuniform intensity holograms in digital holographic microscopy for nanoscale surface metrology, Applied Optics, 62 (32), 8497-8505, 2023. https://doi.org/10.1364/AO.502828
  3. Subrahmanya Keremane Narayan, Allaparthi Venkata Satya Vithin, Rajshekhar Gannavarpu, Deep learning assisted non-contact defect identification method using diffraction phase microscopy, Applied Optics, 62 (20), 5433-5442, 2023. https://doi.org/10.1364/AO.489867
  4. Subrahmanya Keremane Narayan, Allaparthi Venkata Satya Vithin, Sreeprasad Ajithprasad, Rajshekhar Gannavarpu, Surface profile measurement using nonlinear optimization approach in diffraction phase microscopy, Optics and Laser Technology, 167, 109723, 2023. https://doi.org/10.1016/j.optlastec.2023.109723

Conferences

  1. Subrahmanya Keremane Narayan and Rajshekhar Gannavarpu, Demodulating irregular background interferograms for nanometric surface metrology, International Conference on Experimental Mechanics, IIT Madras, Chennai, India, 2024 [Accepted].
  2. Subrahmanya Keremane Narayan, Dhruvam Pandey, Rajshekhar Gannavarpu, Non-destructive surface defect metrology using deep learning and diffraction phase microscopy, Optica Imaging and Sensing Congress, Computational Optical Sensing and Imaging, Toulouse, France, CTh4B.7, 2024.
  3. Dhruvam Pandey, Subrahmanya Keremane Narayan and Rajshekhar Gannavarpu, Deep learning-based automated defect detection in digital holographic microscopy, Optica Imaging Congress, Toulouse, France, JF2A.4, 2024.
  4. Dhruvam Pandey, K N Subrahmanya and Rajshekhar Gannavarpu, Nanoscale surface topography using low cost digital holographic microscopy, Proceedings SPIE 12618, Optical Measurement Systems for Industrial Inspection XIII, 126180Z, Munich, Germany, 2023. https://doi.org/10.1117/12.2672530
  5. Subrahmanya Keremane Narayan, Viren S Ram, Rajshekhar Gannavarpu, Conditional generative modelling based fringe pattern normalization, Optica Imaging Congress, Digital Holography and Three-Dimensional Imaging, Boston, USA, JWA2A.25, 2023. https://doi.org/10.1364/3D.2023.JW2A.25
  6. Subrahmanya Keremane Narayan, Allaparthi Venkata Satya Vithin, Rajshekhar Gannavarpu, Non-contact topography using quadratic optimization approach in diffraction phase microscopy, Frontiers in Optics, Washington, USA, FD1.5, 2023. https://doi.org/10.1364/FIO.2023.FD1.5

Teaching

Undergraduate Courses

  • Electromagnetic Fields & Waves
  • Optical Fiber Communication
  • Basic Electronics
  • Communication Systems
  • Antennas & Wave Propagation
  • Analog Electronic Circuits

Postgraduate Courses

  • RF Integrated Circuits Design
  • Microwave Circuits

Courses of Interest

  • Introduction to Photonics
  • Applied Optics
  • Deep Learning
  • Applied Numerical Methods
  • Fundamentals of Optimization Techniques
  • Basics of GPU Programming
  • Basics of Python Programming