Post Job Free
Sign in

Machine Learning, Deep Learning, Algorithms

Location:
Arcadia, CA
Posted:
April 07, 2020

Contact this candidate

Resume:

Souvick Mukherjee

*** * ******* ***, **** D

Arcadia, California 91007, USA

************@**.***; +1-713-***-****

RESEARCH INTERESTS

Machine Learning, Deep Learning, High Dimensional Image Processing EDUCATION

Doctor of Philosophy, Electrical and Computer Engineering University of Houston, Houston, Texas September 2019 GPA: 3.82/4.0

Thesis: Semi-Supervised Learning for Hyperspectral Image Processing https://uh-ir.tdl.org/handle/10657/5345

Advisor: Dr. Saurabh Prasad

Master of Science, Electrical and Computer Engineering Kansas State University, Manhattan, Kansas May 2015 GPA: 3.63/4.00

Thesis: Multiple antenna microwave ablation: impact of non-parallel antenna insertion https://krex.k-state.edu/dspace/bitstream/handle/2097/19058/SouvickMukherjee2015.pdf?sequence=3 Advisor: Dr. Punit Prakash

Bachelor of Technology, Electronics and Communication Engineering Heritage Institute of Technology (West Bengal University of Technology), Kolkata, India May 2013 GPA: 8.94/10.00

RESEARCH EXPERIENCE AND EMPLOYMENT

Senior Algorithm Engineer at De Novo Software since October 2019

Developed Unmixing Algorithms for Flow Cytometry Data, using Delphi: Object Oriented Pascal language

Mathematically analyzed and prototyped (using Python) the e ect of normalization, gains and background on Unmixing Advanced Short Term Research Opportunity Internship at Oak Ridge National Laboratory Jan 2019 - Aug 2019

Large Scale City / Country-wise (for open source SpaceNet3: Vegas, Shanghai Datasets, and in house Venezuela: Cara- cas dataset captured using WorldView Satellite operated by DigitalGlobe) Semantic Segmentation of Roads by implementing Wasserstein distance and clustering based Deep Learning methods using NVIDIA’s DGX Workstation Graduate Research Assistant in Hyperspectral Image Analysis Lab Aug 2016 - October 2019

Contributed to Annotation and Data Processing for 2018 IEEE Geoscience and Remote Sensing Society (GRSS) Data Fusion Challenge: Fusion of Multispectral LiDAR and Hyperspectral Data Graduate Research Assistant in Biomedical Computing and Devices Lab Aug 2013 - Jun 2015

Volumetric quanti cation of the impact of antenna misalignment on microwave ablation for liver tumors: A model and ex- perimental based approach

Impact of uncertainty on antenna tip positions and analyzing the in

uence of phase di erence between multiple applicators during microwave ablation, for patient speci c treatment planning PUBLICATIONS

Journals:

Mukherjee S and Prasad S, \Deep Feature Extraction by Semisupervised Capsule Neural Networks for Hyperspectral Image Classi cation," (Under Review in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing).

Mukherjee S, Cui M, Prasad S, \Spatial Local Angular Distance Preserving Analysis for Hyperspectral Images," (Under Review in MDPI Remote Sensing Journal)

Mukherjee S and Prasad S, \Spatial-Spectral Semisupervised Deep Learning through Joint Cluster and Regularizer based Unsupervised Angular Loss using Siamese Networks," Elsevier - Computer Vision and Image Understanding, Volume 194, May 2020, 102943,

https: // www. sciencedirect. com/ science/ article/ pii/ S1077314218303011

Mukherjee S, Cui M, Prasad S, \Spatially Constrained Semisupervised Local Angular Discriminant Analysis for Hyper- spectral Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 11, Issue: 4, April 2018.

https://ieeexplore.ieee.org/document/8214279/

Conferences:

Mukherjee S and Prasad S, \Semisupervised Deep Learning for Hyperspectral Image Classi cation," Graduate Research Conference at University of Houston, May 2018.

http://grc.ee.uh.edu/sites/grc.ee.uh.edu/files/files/GRC_ABSTRACTS_Proc_ALL_26th.pdf

Mukherjee S, Curto S, Albin N, Natarajan B, Prakash P, \Multiple-antenna microwave ablation: analysis of non-parallel antenna implants," SPIE BiOS, Energy-based Treatment of Tissue and Assessment VIII, vol. 9326, pp. 93260U, Mar. 2015.

http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2205627 CONFERENCE PRESENTATIONS

Graduate Research Conference, University of Houston May 2018

SPIE BiOS, Energy-based Treatment of Tissue and Assessment Feb 2015 AWARDS

Graduate Student Award from Johnson Cancer Research Center for visiting Thermal Therapy & Clinical Hyperthermia Research group, University of California, San Francisco Feb 2015 Graduate Student Council Award for travel to SPIE conference Jan 2015 REVIEWER

IEEE Transactions on Geoscience and Remote Sensing (TGRS) PROJECTS TRAINING WORKSHOPS AND CERTIFICATES

Graduate Certi cate in Applied Mathematics (Kansas State University) May 2015 Design and evaluation of simple bio-potential ampli er for measuring ECG signals (Kansas State University) Oct 2014 Design of a FM Radio Transceiver to receive US FM channels (Kansas State University) Nov 2013 Selected for employment as an engineer at Tata Consultancy Services: Division of Engineering & Industrial Services May 2013

Heart Sound Analysis using DSP processor TMS320C6713 (Heritage Institute of Technology) Sep 2012 Training in Antenna Designs and AM Signal Processing (All India Radio) Dec 2011 Ethical Hacking Workshop in Routing and Security against Virus

(Indian Statistical Institute) Aug 2011

TECHNICAL COURSES

Sparse Representation for Signal Processing

Computer Vision

Introduction to Stochastic Processes

Digital Video Processing

Applied Mathematics 1 & 2

Theory and Techniques of Bioinstrumentation

Computer Engineering Methods for Analysis, Simulation and Design Therapeutic Medical Devices

Design of Communication Circuits

Applied Probability Theory & Random Processes

TECHNICAL SKILLS

Machine Learning Skills: Deep Learning, Computer Vision, Deep Learning libraries, Generative Adversarial Networks, CNN’s, RNN’s, LSTM’s, Logistic Regression, Naive Bayes, SVM’s, Decision Trees, Decision Forests, Random Forests, KNN’s, Clustering, Autoencoders, Gaussian modeling, Dirichlet Modeling, Stochastic (Monte Carlo) models, Several Feature Reduction

/ Extraction methods

Programming Skills: Pascal, Delphi, C++, C, C#, Python, Java, PHP, SQL, Wordpress, MS O ce, LaTeX, GitHub, Apache Subversion, Linux, OpenCV, Tensor

ow, Keras, Hadoop, CUDA Simulation and Computing: Matlab, Inkscape, Comsol Multiphysics, Spice, AutoCAD, ArcGIS, QGIS TEST SCORES

GATE (Electronics and Communication) - Rank 1594 of 256135 candidates Mar 2013 GRE - 319 (Quantitative - 166/170, Verbal - 153/170) Nov 2012 TOEFL - 113 (Reading - 29, Listening - 29, Writing - 29, Speaking - 26) Nov 2012 WBJEE - Rank 1845 of 126000 candidates Feb 2009

ISC - Among the top 0.5% students (overall) and top 10 candidates (in science subjects) in the country with an average of 98.67% in Physics, Chemistry and Mathematics Mar 2009 LANGUAGES

English (Full Professional Pro ciency), Bengali (Native or Bilingual Pro ciency), Hindi (Full Professional Pro ciency)



Contact this candidate