SOVANLAL MUKHERJEE, Ph.D.

Memorial Sloan Kettering Cancer Center

485 Lexington Avenue

New York City, NY 10017

Email: mukhers2@mskcc.org, sovaniitk@gmail.com

Specialties

Optimization Techniques in Data Science

Electromagnetics

Microwave Engineering

Medical Image Processing

Machine Learning

Numerical Methods including finite element method (FEM), Finite Difference Time Domain (FDTD)

C++/MATLAB/Python programming

Current Position

Research Fellow November 2017-Present

Department of Medical Physics

Memorial Sloan Kettering Cancer Center, NY

Educational Background

Ph.D. (December 2013) GPA: 4.0/4.0

Oklahoma State University (OSU), Stillwater, OK, USA

Major: Electrical Engineering

Master of Technology (May 2005)

Indian Institute of Technology (IIT) Kanpur

Major: Electrical Engineering

Bachelor of Engineering (May 2002)

University of Burdwan, West Bengal, India

Major: Electronics and Communication Engineering

Research Experience

Research Fellow, Memorial Sloan Kettering Cancer Center (November 2017-Present), NY, USA

· Hierarchical Constrained Optimization techniques for radiation therapy treatment planning

· Mixed Integer Programming (MIP)

Visiting Research Associate, University of Arizona (February 2017-November 2017)

· Performed simulation of 3D breast cancer imaging using thermo-acoustic tomography

· Modeling of focused microwave therapy system for human breasts

Post-Doctoral Researcher, St. Jude Children’s Research Hospital, Memphis, TN, USA (March 2014-June 2016)

· Implemented total-variation based noise-reduction algorithms for low-dose CT images

Ph.D. Research Assistant, Oklahoma State University, Stillwater, OK, USA (Aug 2008-Dec 2013)

· Implemented image reconstruction algorithm based on thermo-acoustic tomography for trans-rectal geometry

Algorithm Engineer, Wipro Technology, Bangalore, India (May 2005 – Nov 2007)

· Developed wireless LAN algorithms based on IEEE 802.11a/b/g protocols

Teaching Experience

Lecturer, The LNM Institute of Information Technology, Jaipur, India (July 2016-Jan 2017)

· Instructor of Electromagnetic Theory

· Session Chair of International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2016 sponsored by IEEE

Lead Teaching Assistant (TA), Oklahoma State University (Aug 2008- Aug 2013)

· Instructor of Electrical Circuit Theory and Electromagnetic Theory

· Helped students with in-class assignments and projects for a class strength of 200

· Trained junior TAs

Publications

1. Mukherjee S, Hong L, Deasy J and Zarepisheh M, “A computationally efficient algorithm for integrating dose-volume constraints into IMRT fluence optimization for automated treatment planning”, AAPM 2018.

2. Zhao H, Mukherjee S, Saraswat S, Tak J, Liang M, Witte R and Xin H, “Full-wave Numerical Model for Thermoacoustic Imaging of the Human Breast and Detection of Breast Cancer”, IEEE APS/URSI 2018.

3. Karunakaran C, Mukherjee S, Tak J, Saraswat S, Xin H and Witte R, “Real-time thermoacoustic imaging and thermometry using a linear ultrasound array”, IEEE APS/URSI 2018.

4. Mukherjee S, Farr JB, Merchant TE and Yao W, “Improvement of Image Registration using total-variation based noise reduction algorithms for low-dose cone-beam computed tomography”, AAPM 2016.

5. Mukherjee S, Farr JB and Yao W, “A study of total-variation based noise reduction algorithms for low-dose cone-beam computed tomography”, International Journal of Image Processing 10(4), 188-204, 2016.

6. Mukherjee S, Yao W, “A comparative study of noise-reduction algorithms for low-dose cone-beam CT imaging”, AAPM 2015.

7. Mukherjee S, Bunting C and Piao D, “Trans-rectal microwave induced thermo-acoustic Computed tomography: An initial in-silico study,” X-Acoust. Imag. & Sens., 1(1), 1-15, 2014.

8. Mukherjee S, Bunting C and Piao D, “Finite-element-method based reconstruction of heterogeneous conductivity distribution under point-illumination in trans-rectal imaging geometry for thermo-acoustic tomography”, OSA Biomedical Topical meetings, Miami, Florida, Apr 29^th -May 2^nd, 2012.

9. Mukherjee S, Bunting C and Piao D, “Forward model of thermo acoustic signal specific to intra-lumenal detection geometry”, Proc. SPIE, 7899, 36-42, 2011.

10. Jiang Y, Mukherjee S, Stine JE, Bunting C and Piao D, “FPGA-assisted strategy toward efficient reconstruction (FAStER) in diffuse optical tomography,” OSA Biomedical Topical Meetings, Miami, Florida, Apr. 11-14, 2010.

11. Mukherjee S, Mohan A and Biswas A “Dispersion Characteristics of an off-layered coupled Non-Radiative dielectric (NRD) guide for millimeter wave applications’, IEEE Asia Pacific Microwave Conference proceedings, China, Vol3, 4-7 Dec, 2005.

Awards/Achievements

Member of Honor Societies: Phi Kappa Phi and Eta Kappa Nu. The selection was based on Graded point average (GPA) during Ph.D. study.

Reviewer

Applied Computational Electromagnetic Society (ACES) Journal

Science, Technology and Innovation for Sustainable Well-Being (STISWB), Thailand, 2018

Served as Conference Chair: IEEE International Conference on Advances in Computing, Communication and Informatics (ICACCI) 2016, Jaipur, India

Graduate Aptitude Test in Engineering (GATE, 2003) percentile 99.19 in Electronics and Communication Engineering conducted by Indian Institutes of Technology (IITs) and Indian Institute of Science (IISc).

Professional Memberships

American Association of Physicists in Medicine (AAPM)

Institute of Electrical and Electronics Engineers (IEEE)

Society of Photo-optical Instrumentation Engineers (SPIE)

Computer Skills

Language Skills: C, C++, Python

Software tools: MATLAB, AMPL, Knitro, CPLEX, numpy, Tensorflow, Keras

Certification

• Machine Learning course completion certificate from Stanford University (License: WPNUXEJNB7NF)
• Neural Network and Deep Learning course completion certificate from deeplearning.ai (License: USFVPDPF4GNZ)