Summary
Overview
Work History
Education
Skills
Affiliations
Certification
Timeline
Awarded 2023 SAE Excellence in Oral Presentation at 2023 SAE Noise and Vibration conference
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Siddhartha Krishnamurthy

Yorktown,VA

Summary

Accomplished Research Aerospace Engineer at NASA Langley, specializing in human response to aviation noise. Expert in signal processing and statistical analysis, leading multidisciplinary teams to develop innovative noise synthesis methods and predictive models. Recognized for enhancing community noise investigations and fostering partnerships with UAM manufacturers, driving impactful research outcomes.

Overview

20
20
years of professional experience
1
1
Certification

Work History

Research Aerospace Engineer

NASA Langley Research Center
02.2017 - Current
  • Internationally recognized researcher in human response to aviation noise, with a current focus on vertical lift vehicles.
  • Leveraged signal processing background to develop novel rotor broadband self noise and tonal noise synthesis methods, including methods for maneuvering flight and guiding contractor in simulating aircraft noise in urban environments, to enhance realism of auralized (simulated) vertical lift vehicle sounds for use in human response testing and aircraft design. Taught auralization methods to international researchers through invited lecture at Quiet Drones 2024 Workshop.
  • Currently leading multidisciplinary team of community noise researchers, aeroacoustics researchers, and software developers in an experimental investigation of geographic differences in human response to various UAM vehicle sounds. Justified test objectives and statistical analyses methods to the public and the United States Office of Management and Budget. Established partnerships and agreements with UAM manufacturers to acquire test sounds.
  • Led multidisciplinary team of human response experts and software developers to develop a remote psychoacoustic testing capability for NASA, and performed statistical analyses of human noise response results that used the remote testing capability. Team received 2023 NASA Honor Award, Group Achievement Award.
  • Leading NASA research teams to better understand human response to vertical lift vehicle noise by forming new project milestones, planning research team publications, and mentoring newest researchers to be principal investigators in community noise experiments.
  • Led NASA research team through experimental investigations that culminated in the first known Urban Air Mobility (UAM) noise human response prediction model that accounts for background sounds in a way that researchers in government and industry can extend to real-world applications.
  • Leading Human Response and Metrics Subgroup of UAM Noise Working Group by collaborating and forming common research objectives of UAM noise human response with government agencies and UAM manufacturers to set strategic objectives that can offer greatest impact to NASA, which included investigations into the effects of different noise response questions and takeoff and landing portions of UAM flight.
  • (Feb 2021 – Dec 2022) Served as Assistant Branch Head of NASA Langley Structural Acoustics Branch and helped branch personnel achieve research objectives through technical feedback, performance and project reviews, clarifying administrative policies, and assisting Branch Head with branch strategic objectives.

Technical Staff

Massachusetts Institute of Technology, Lincoln Laboratory
03.2005 - 02.2017
  • Conducted research and development in radar and antenna array design, airborne and satellite communication data link system studies, and detection and estimation. Sample of activities include:
  • Principal developer of communication waveforms to be transmitted by MIT Lincoln Laboratory newly developed antenna arrays that were part of a multi-agency project.
  • Lead on developing portable sensor for decision support algorithms to help first responders localize potential search and rescue targets by their light signature.
  • Took lead on developing blur (moving object) removal algorithms in SAR image to produce stationary scene.
  • Investigated track-before-detect approaches to detect tones in fading channels.
  • Lead for aircraft payload thermal/vibration tests and for calibration beacon software as part of UAV sensor development team.
  • Simulated, designed, and built analog circuit for detection of certain waveforms.

Education

Ph.D. - Engineering Sciences

Harvard University
Cambridge, MA
03-2014

Engineering Sciences

Harvard University
Cambridge, MA
03-2009

Bachelor of Science - Electrical Engineering

Virginia Polytechnic Institute And State University
Blacksburg, VA
12-2004

Skills

  • Signal processing
  • Statistical analysis
  • Human/community noise response investigations
  • Modeling and simulation of stochastic/random processes
  • Detection and estimation
  • Project planning

Affiliations

  • American Institute of Aeronautics and Astronautics, Senior Member, Transformational Flight Integration and Outreach Committee Member
  • Institute of Electrical and Electronics Engineers, Member

Certification

Contracting Officer Representative (COR) Training

Timeline

Research Aerospace Engineer

NASA Langley Research Center
02.2017 - Current

Technical Staff

Massachusetts Institute of Technology, Lincoln Laboratory
03.2005 - 02.2017

Ph.D. - Engineering Sciences

Harvard University

Engineering Sciences

Harvard University

Bachelor of Science - Electrical Engineering

Virginia Polytechnic Institute And State University

Awarded 2023 SAE Excellence in Oral Presentation at 2023 SAE Noise and Vibration conference

Awarded 2023 SAE Excellence in Oral Presentation at 2023 SAE Noise and Vibration conference for presenting on a new remote psychoacoustic testing capability and corresponding test results on aviation noise.

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