Dr. Varun Mannam
- Applied Scientist II at Amazon
- vmannam@nd.edu / mannamvarun@gmail.com / mannamvs@amazon.com
Education
- Ph.D. in Electrical Engineering, 2022
- University of Notre Dame
- M.Tech. in Electronics and Communications Engineering, 2012
- Indian Institute of Technology, Kharagpur
Experience
- Applied Scientist II (Aug 2022 - Present)
- Amazon, Bellevue, WA
- Summer Research Intern (May 2021 - August 2021)
- Feinstein Institute for Medical Research (FIMR), Northwell Hospitals, New York, NY
- Summer Research Intern (May 2019 - August 2019)
- IBM Research Center, T.J Watson, New York, NY
- Staff Software Engineer (December 2012 - August 2017)
- National Instruments R&D, Bangalore, India
Research Areas
- Natural language processing (NLP)
- Natural language understanding (NLU)
- Computer Vision (CV)
- Deep learning (DL)
- Machine learning (ML)
- Fluorescence microscopy (FM)
- Fluorescence lifetime imaging microscopy (FLIM)
- Image denoising
- Super-resolution microscopy imaging
- Compressive sensing (CS)
Links
| Email | LinkedIN | Google Scholar | Twitter | Research Gate | GitHub | Resume |
Papers (Current)
- Varun Mannam, “Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method”, Published (IEEE Big-data 2022)
Papers (Arxiv, BioRxiv)
- Varun Mannam, and Scott Howard, “Small Training Dataset Convolutional Neural Networks for Application Specific Super-Resolution Microscopy”, Revised (Reference number: BIORXIV/2022/505633).
Papers (Draft/In prepartion/Submitted)
- Varun Mannam, and Scott Howard, “FLIM denoising using CNNs”, (Frontiers Phasor Analysis for FLIM data) Final Review (Submitted 2023).
- Varun Mannam, Xiaotong Yuan, and Scott Howard, “Deconvolution of fluorescence lifetime imaging microscopy (FLIM)”, (Biomedical Optics Express (BOE) Journal) Final review (2023).
- Varun Mannam, and Scott Howard, “Low dosage 3D volume fluorescence microscopy imaging using compressive sensing”, (Optics Letters Journal) In preparation (2023).
- Varun Mannam, “3D point cloud generation using connected components”, CVPR workshop, 2023.
Papers (Published)
- See my google scholar page: Google Scholar
Ph.D. doctoral dissertation
Master’s Thesis
Reviewer to the following jounrals
- Nature: Scientific Reports
- OSA: Applied Optics (AO)
- OSA: Biomedical Optics Express (BOE)
- OSA: Optics Express (OE)
- OSA: Optics Letters (OL)
- OSA: Photonics Research (PR)
- IEEE: jounranl of Biomedical and Health Informatics (j-BHI)
- SPIE: Journal of Biomedical Optics (JBO)
- SPIE: Optical Engineering
- SPIE: Journal of Electronic Imaging (JEI)
Projects
- Fluorescence microscopy Image denoising
- Fluorescence microscopy application-specific imaging Super-resolution
- FLIM Deconvolution
- Fluorescence microscopy compressive sensing
Biography
I am working as an Applied ScientistII in Amazon Data Services (ADS) Science team which is part of Alexa AI organization at Aamzon, Bellevue. I was born in Ongole, Andhra Pradesh, India, and received a Bachelor of Technology and Master of Technology degree in Electronics and Communications Engineering from Bapatla Engineering College, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India and Indian Institute of Technology Kharagpur (IIT KGP), West Bengal, India, in 2010 and 2012, respectively. From 2012-2017, I worked as a Staff Software Engineer to develop wireless communication protocols (like Bluetooth, WIFI) at National Instruments (R&D) Bangalore, India. Later, I joined the University of Notre Dame in 2017 to pursue a doctorate in Electrical Engineering. During my Ph.D. I worked with Dr. Scott Howard (Link) in the Biophotonics Research Group. My research is about the applications of fluorescence microscopy that could advance the work of other researchers and medical personnel in a wide variety of fields using the latest state-of-the-art computer vision techniques. My research interests include NLP, deep learning, machine learning, computer vision, Fluorescence lifetime imaging microscopy (FLIM), super-resolution, compressive sensing and, neural circuits.
Contact
- Varun Mannam (vmannam@nd.edu / mannamvarun@gmail.com / mannamvs@amazon.com)