Resumé

Table of Contents

(Please email me for more details.)

Profile

I am a research scientist with diverse multi-domain experience in developing diagnostics, monitoring and prediction technology, by integrating real-world, multi-modal imaging and sensing with advanced algorithms, signal & image processing, statistical analysis, and machine learning.

I currently work to design, develop and implement algorithms for a novel multi-modal cardiovascular imaging system to improve health outcomes for patients with coronary artery disease.

Skill areas:

  • Medical imaging, especially with images from Optical Coherence Tomography (OCT) and Angiography
  • Algorithm development and signal processing
  • Deep learning algorithms for classification and regression tasks
  • Tensorflow and Keras based signal processing and machine learning architectures
  • Sensor fusion; time series analysis; wave propagation and analysis
  • Statistical analysis and predictive analytics
  • Python, MATLAB, C++ Programming

Research Interests

  • Improve human health outcomes through next-generation diagnostics and monitoring technology
  • Build adaptive, modular, robust technology by combining fundamental physics and physiology with multi-modal sensing, sophisticated signal processing, statistical analysis and intelligent learning.
  • Develop smart, robust, real-world applications that bridge the gap between cutting-edge research and practical, usable technology.
  • Time-series analysis, data-driven and physiological-based model development.

Education

Virginia Tech

Jadavpur University

  • Degree: Bachelor of Mechanical Engineering (First Class), May 2007
  • Location: Kolkata, West Bengal, India

Research Experience

SpectraWAVE, Inc.

Role: Senior Imaging Scientist
Duration: Oct 2023 to present

  • Design, develop & implement algorithms for a novel multi-modal cardiovascular imaging system for improved health outcomes in patients suffering from coronary artery disease.
  • Explore medical image data and identify computer-detectable features in image and non-image data. Design and implement image processing algorithms based on both hand-crafted and learned features.

Biotechnology High Performance Computing Software Applications Institute, BHSAI

Role: Research Scientist II, HJF
Duration: Sep 2021 to Sep 2023

  • BHSAI is a Department of Defense (DOD) research institute performing interdisciplinary research, combining physical, computational, and life-science research to improve the efficiency and efficacy in the development of militarily relevant medical products for Force Health Protection.
  • Developed computational solutions to biomedical problems for US Army, involving signal processing of time-series physiological data, data mining, data-driven and physiological-based models, and AI.
  • Examined how individual-specific models can quantify alertness after sleep deprivation, based on recorded participant video, using statistical metrics and image-based machine-learning models.
  • Developed and implemented a custom Recurrent Neural Network with stateful Convolutional-LSTM to estimate alertness metrics using a regression model based on participant video image sequences.
  • Developed and deployed a novel algorithm to process recorded videos of participants’ faces and extract eye-blink metrics with 90% reduction in processing time while maintaining 99% accuracy.
  • Worked on an individualized predictive model to estimate risk of developing altitude sickness after ascent to high altitude, using heart rate, peripheral oxygen saturation (SpO2) and activity data.

X-wave Innovations, Inc.

Role: Senior Reseach & Development Engineer
Duration: Nov 2017 to Sep 2021

  • Led research projects to develop intelligent health monitoring, anomaly detection and materials characterization technology, coupling modern monitoring techniques and advanced signal processing.

  • Developed and wrote research grants; presented, published and patented results; wrote technical reports.

  • Received SBIR and STTR grants from U.S. Government agencies as Principal Investigator totaling more than $400k.

  • Principal Investigator in NASA SBIR project to perform continuous crew health monitoring and estimation, by implementing sensor fusion and machine learning, using multiple non-contact, remote sensors to monitor physiologic parameters for human crew on long space missions.

  • Principal Investigator in DOE SBIR project to develop next generation volumetric imaging and flaw detection technology, using ultrasonic array inspections and numerical 3-D beam-forming.

  • Principal Investigator in DOD STTR project to qualify additive manufacturing (AM) parts through process monitoring and feedback control, using sensor fusion and learning algorithms (supervised and unsupervised).

  • Led, supervised and managed development and implementation of all analysis algorithms and software in multi-million dollar project, sponsored by industry conglomerate, for undersea pipeline inspection and flaw detection using passive monitoring of magnetic fields, including novel analysis algorithms, real time data monitoring and QA/QC, post acquisition analysis, flaw detection & reporting.

Department of Biomedical Engineering and Mechanics, Virginia Tech

Role: Ph.D. Candidate majoring in Engineering Mechanics
Advisor: Dr. John C. Duke, Jr.
Duration: Aug 2007 to July 2017

  • Dissertation: Monitoring Progressive Damage Development in Laminated Fiber Reinforced Composite Materials. (PDF, ~20MB)

  • Research focus: Develop automated signal processing tools for health monitoring of composite materials; ultrasonics & wave mechanics in anisotropic media; life prediction of in-service materials.

  • Characterized damage development and conditions for future failure in composites with crossply fiber orientation using analysis of experimental simulated acoustic emission data.

  • Developed automated algorithm and signal analysis software to estimate the arrival time of extensional and flexural Lamb wave modes from experimental ultrasonic signals.

  • Developed NDE parametric signatures to automatically detect critical damage in advance and predict future failure in composite laminates independent of their ply orientations.

  • Awards

    • Pratt Presidential Fellowship, Virginia Tech, 2007
    • American Society for Nondestructive Testing (ASNT) Graduate Fellowship, 2008
    • ASNT Graduate Travel Grant for conference presentation, 2009
    • ASNT Graduate Travel Grant for conference presentation, 2011
    • ASNT Graduate Travel Grant for conference presentation, 2014
    • Virginia Tech Graduate Student Assembly (GSA) Travel Grant, 2014

Virginia Tech Transportation Institute, Virginia Tech

Role: Graduate Research Assistant, Center for Advanced Automotive Research Mentor: Dr. Zachary Doerzaph
Duration: Jan 2011 to May 2016.

  • Summary: Provided research support to several government and industry sponsored automotive safety projects, including signal processing, algorithm development, design of experiments and IRB approved participant studies.

  • Connected Vehicles: Performed predictive modeling and data analysis, to identify root causes of issues with the implementation of next-generation Vehicle-to-Vehicle communication and crash-avoidance systems, using MATLAB and other proprietory in-house software.

  • Sensor Fusion: Assessed possible implementions of dead reckoning and sensor fusion applications using vehicle-mounted Inertial Measurement Units (IMUs). Implemented adaptive digital filters for noise reduction and code for data accuracy using sensor fusion.

  • Gap Acceptance: Characterized and interpreted driver preferences about choosing gaps in traffic for merging. Designed video data reduction and data analysis protocols to study and time traffic patterns at intersections. Performed data analysis and visualization of results.

  • Turn behavior: Modeled speed and path of vehicles turning through intersections, based on movement and geometry parameters, to help with crash reconstructions. Studied driver behavior during left turns in presence of oncoming vehicles at different distance ranges.

  • Authorship: Authored and co-authored project final reports, research proposals and white papers. Revamped and modernized, then contributed to and maintained, the VTTI central MATLAB code repository (Funnel). Wrote documentation for using MATLAB and Mercurial with VTTI systems.

Skills

  • Programming: Python, MATLAB, C++, Unix shell scripting, SQL, high-performance computing (HPC).
  • Signal Processing: Data pre-processing, filtering & background correction, classification & clustering, adaptive Kalman filtering, signal alignment, correlation & regression, Fourier & Wavelet analysis.
  • Machine Learning: Tensorflow, Keras, deep neural networks, e.g. Convolutional and Recurrent Neural Networks (CNN & RNN), with stateful Conv-LSTM, U-Net for image segmentation, custom data generators, optimizers and loss functions, hyperparameter tuning (Keras Tuner), PBS HPC scheduler. Experienced with translating Python code to Tensorflow for deployment, unit testing with pytest, and building data pipelines for video & image based architectures and models.
  • Research and Analysis: Study & experiment design, statistical analysis, data visualization, predictive modeling, grant writing & research proposal formulation, technical documentation & patent writing.
  • Software: Git, Python, Pip & Conda, MS Office, HTML5 and CSS3, LATEX & BibTEX. Familiar with image editing (Photoshop / Pixelmator) and other usual Mac and Windows software.
  • Lab Work: Experienced in hands-on lab work, including using acoustics and ultrasonic array based methods, setting up experiments and machinery, acquiring data and performing data pre-processing.
  • Photography: Amateur photographer for 20+ years, with several international contest acceptances. Received five FIAP (Fédération Internationale de l’Art Photographique) Acceptances at two international photography contests at Linz, Austria, and an Acceptance at Moscow International Photo Awards. Formerly, member of Jadavpur University Photographic Club. Select photos have been on public exhibition at Kolkata, India and Linz, Austria.

Peer review service for scientific journals:

  • Biomedical Signal Processing and Control (BSPC)
  • EURASIP Journal on Advances in Signal Processing
  • IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (IEEE-UFFC)
  • Mechanical Systems and Signal Processing (MSSP)
  • Research in Nondestructive Evaluation (RNDE)

Publications and Presentations

Dissertation

  • A. Gupta, Monitoring Progressive Damage Development in Laminated Fiber Reinforced Composite Materials, Doctoral Dissertation, Virginia Tech., http://hdl.handle.net/10919/78766 (2017).

Technical Reports

  • D Xiang, A Gupta and H Yum, A Portable, High-Resolution Ultrasonic Tomography System for Nondestructive Imaging of Inclusions in Steel Components, technical report submitted to Department of Navy (2020).

  • A Gupta, H Yum and D Xiang, A Novel Full Matrix Capture Ultrasonic Imaging System for Non-Radioisotopic Inspections, technical report submitted to Department of Energy (2020).

  • A Gupta, H Yum and D Xiang, An Advanced Sensor Fusion Based Crew Health Monitoring System, technical report submitted to NASA (2020).

  • U Singh, A Gupta, H Yum and D Xiang, Large Standoff Magnetometry for Inspection of Deep Sea Pipelines, technical report and application software submitted to Oil & Gas Industry Conglomeration (2019).

  • A Gupta, H Yum, D Xiang and S Duning, Latent Parameters using Sensor Fusion for Additive Manufacturing Process Monitoring and Control, technical report submitted to Defense Logistics Agency (2019).

  • D Xiang, A Gupta, H Yum and S Rajaraman, A Hyperspectral Sensor System for NDE and Structural Health Monitoring of Gas Turbines, technical report submitted to U.S. Air Force (2018).

  • D Xiang, A Gupta and T Osborne, An Air Coupled Ultrasonic Array Scanning System for In-Situ Monitoring and Feedback Control of Additive Manufacturing, technical report submitted to DOE (2018).

  • D Xiang, A Gupta, D Hasanyan and S Rajaraman, 3-D Digital Image Correlation Based Non-Destructive Testing System for Qualification of Additive Manufacturing Parts, technical report submitted to NIST (2018).

Journal Articles

  • Arnab Gupta and Dr. John Duke, Jr., Identifying the Arrival of Extensional and Flexural Wave Modes Using Wavelet Decomposition of Ultrasonic Signals, Ultrasonics, Jan 2018, Vol. 82, pp. 261-271, doi: 10.1016/j.ultras.2017.09.008.

  • Arnab Gupta and Dr. John Duke, Jr., Characterizing Damage Development in Crossply Laminates Using Simulated Acoustic Emission, Materials Evaluation, April 2012, Vol. 70, No. 4, pp. 461-469. (PDF)

Conference Proceedings

  • R Lane, A Gupta and JC Duke, Jr., Wave Propagation in Damaged Composite Materials, ASNT 27th Annual Research Symposium Proceedings, Orlando, FL, 2018. doi: 10.32548/rs.2018.030.

  • Arnab Gupta and Dr. John Duke, Jr., Detecting Damage Transitions in Laminated Composites using Acoustic Emission, Proceedings of the 13th International Symposium on Nondestructive Characterization of Materials (NDCM-XIII), Le Mans, France, 2012. (PDF)

Selected Presentations

  • Arnab Gupta, A Short Journey to Creating a Professional Web Presence (for the non-programmer), Guest Lecture at National Institute of Technology, Rourkela, India (2021, 2020).

  • Arnab Gupta, A Novel Full Matrix Capture Ultrasonic Imaging System for Non-Radioisotopic Inspections, presented to the National Academies of Sciences, Engineering and Medicine and their Committee on Radiation Sources and Alternative Technologies (2020). (PDF)

  • Arnab Gupta and Dr. John Duke, Jr., Tracking Progressive Damage Development in Composite Materials, presented at the 23rd Annual ASNT Research Symposium and Spring Conference, Minneapolis, MN, Mar 2014.

  • Arnab Gupta and Dr. John Duke, Jr., Detecting Damage Transitions in Laminated Composites using Acoustic Emission, presented at the 12th International Symposium on Nondestructive Characterization of Materials (NDCM-XII), Blacksburg, VA, June 2011. (PDF, ~25MB)

  • Arnab Gupta and Dr. John Duke, Jr., Characterizing Damage Development in Cross-Ply Laminates Using Acoustic Emission, presented at the 20th Annual ASNT Research Symposium and Spring Conference, San Francisco, CA, Mar 2011.

  • Dr. John Duke, Jr., Douglas Harold and Arnab Gupta, Assessment of Service-induced Damage for Sustainment of Composite Material Structures, presented at the 19th Annual ASNT Research Symposium, Williamsburg, VA, Mar 2010.

  • Arnab Gupta and Dr. John Duke, Jr., Assessing Service-induced Mechanical Deterioration of Aircraft Composite Materials Using Deterioration-induced Wave Propagation, presented at the 2009 Joint ASCE-ASME-SES Conference on Mechanics and Materials, Blacksburg, VA.

  • Arnab Gupta and Dr. John Duke, Jr., Detecting Fiber Breaks in Composite Materials: Modeling and Experiment, presented at the 18th Annual ASNT Research Symposium and Spring Conference, St. Louis, MO, Mar 2009.

Teaching Experience

Engineering Mechanics program, Virginia Tech.

Role: Instructor — ESM 3064: Mechanical Behavior of Materials Lab
Duration: Aug 2007 to Dec 2010; Jan to May 2017.

  • Course Instructor of Record for 8 semesters and multiple lab sections each semester.
  • Assessed student performance, graded laboratory reports and assigned final course grades.
  • Provided theoretical foundation for experiments. Helped students with conceptual understanding of theory and practice of the experiments. Led the setting up and running of experiments by students. Mentored students with course-related questions and concerns in and out of class.
  • Led students in a variety of mechanical testing experiments, including tension & compression tests using MTS and Instron universal testing machines, different hardness testing machines, Charpy notch-impact tests, fracture toughness and fatigue crack growth for metallic and polymeric specimens.