Resumé

Table of Contents

(Please email me for more details.)

Profile

I am a research scientist with diverse multi-industry experience in developing monitoring, diagnostics and prediction technology, coupling real world sensing with advanced algorithms, signal processing and intelligent learning. I currently work with physiological data modeling for biomedical health applications, developing individual-specific mathematical models and intelligent algorithms to optimize human health, performance and care.

Skill areas:

  • algorithm development and real-world implementation (Python, MATLAB, C++, Unix)
  • wave propagation based techniques
  • numerical analysis and signal processing including data cleaning, filtering, correlation methods, estimation, Fourier & wavelet analysis
  • data-driven modeling, statistical analysis, anomaly detection
  • Intelligent learning techniques for predictive analysis

Research Interests

  • Develop smart, robust, real-world technologies for health monitoring, diagnostics, prediction and performance optimization.
  • Implement adaptive, modular, multi-modal sensing technology through signal processing and intelligent learning techniques.
  • Time-series analysis, data-driven and physiological-based model development.
  • Current area: characterize and improve performance and mental activity in response to sleep deprivation.

Education

Virginia Tech

Jadavpur University

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

Research Experience

Biotechnology High Performance Computing Software Applications Institute, BHSAI

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

  • 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.

  • Develop phenomenological, first-principle, data-driven adaptive mathematical models to improve mental activity in response to sleep deprivation.

  • Develop individual-specific models and artificial intelligence (AI) algorithms for preventing non- battle injuries, optimizing and enhancing Soldier performance, and optimizing casualty care.

  • Develop and apply computational solutions to biomedical problems, involving signal processing of time-series physiological data, data mining, data-driven and physiological-based models, and AI.

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, by implementing sensor fusion and machine learning, using non-contact, remote monitoring of crew physiologic parameters.

  • 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 software in multi- million dollar project for undersea pipeline inspection and flaw detection, including real time data monitoring and QA/QC, post acquisition analysis, flaw detection & reporting, and custom alignment of inspection signals.

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.

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: Provide research support to several government and industry funded automotive safety projects, including experiment design, algorithm development, numerical computer programming, and video data reduction.

  • 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: Proficient with Python and MATLAB, comfortable with C/C++ and unix shell scripting.
  • Signal Processing: Experienced in statistical analyses, data cleaning, filtering, background correction, signal alignment, correlation methods, data classification, Fourier analysis and Wavelet transform.
  • 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.
  • Software: LATEX and BibTEX, SQL, HTML5 and CSS3, MS Office, version control using Mercurial/Git. Familiar with image editing (Photoshop / Pixelmator) and other usual Mac and Windows software.
  • Photography: 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.

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

Service

  • Peer review for journals:
    • IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    • Research in Nondestructive Evaluation
    • Mechanical Systems and Signal Processing
  • Former reviewer, Society for Automotive Engineers (SAE) technical papers.
  • Member of the American Society for Nondestructive Testing Research Council.
  • Full member of Sigma Xi, the Scientific Research Honor Society.
  • Member of the board at Jadavpur University Alumni Association — Washington Metropolitan Area.
  • Former panel jury member with the Graduate Honor Society (GHS) at Virginia Tech
  • Served on Graduate School committee to select the Virginia Tech Graduate Student of the Year 2017.
  • Served on committee to identify and nominate the Chief Justice of the Virginia Tech Graduate Honor Society (to be appointed by the University President).

Publications and Presentations

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.

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).

  • 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.