Lakshya Bhatnagar
Engineering · Purdue University West Lafayette
Publications
25
Citations
135
Est. group size
~3
Recurring co-author estimate
Active years
7
Publishing since 2019
Lakshya Bhatnagar's research centers on experimental gas turbine engineering, including measurement techniques for heat transfer, temperature, pressure, and flow uncertainty in high-speed turbine test rigs. Work includes infrared thermography, particle image velocimetry (a laser-based flow visualization method), and probe/sensor development for aerospace turbomachinery testing, along with some separate work on neural network hardware efficiency and power distribution control.
Publication output rose from none in 2017-2018 to a peak in 2021, then settled into a steady pace of roughly 3-4 papers per year through 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Assessment of a Diodic Turbine to Prevent Backflow
2025
- Infrared Thermography on Outer Casing Surface for Heat Transfer Measurement in Aerospace Applications
Journal of Thermophysics and Heat Transfer · 2025
- Energy Efficient Control of Photovoltaic Integrated Low Voltage Distribution Network
2025
- The Purdue High-Speed Small Core Turbine Facility
2024
- Infrared Thermography on Outer Casing Surface for Heat Transfer Measurement in Aerospace Applications
2024
- A Probabilistic Approach to Turbine Uncertainty
Journal of Turbomachinery · 2023
- Parametric evaluation of compact truncated Venturi flow meters
Flow Measurement and Instrumentation · 2023
- A Probabilistic Approach to Turbine Uncertainty
2023
- Development of a Conduction-Free Total Temperature Probe Based on the Two-Wire Thermocouple Concept
2023
- Atomic Layer Thermopiles: Comprehensive static calibration, comparison and application in subsonic and supersonic flows
International Journal of Thermal Sciences · 2022
- Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) · 2022
- Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks
arXiv (Cornell University) · 2022
- NEAT: Nonlinearity Aware Training for Accurate, Energy-Efficient, and Robust Implementation of Neural Networks on 1T-1R Crossbars
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2021
- Uncertainty in High-Pressure Stator Performance Measurement in an Annular Cascade at Engine-Representative Reynolds and Mach
Journal of Engineering for Gas Turbines and Power · 2021
- Uncertainty in High-Pressure Stator Performance Measurement in an Annular Cascade at Engine-Representative Reynolds and Mach
2021
- Journal of Engineering for Gas Turbines and Power×3
- Journal of Turbomachinery×2
- arXiv (Cornell University)×2
- International Journal of Thermal Sciences×1
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems×1
- Lukas Benjamin Inhestern
Engineering · Purdue University West Lafayette
- Ronald Mathison
Engineering · The Ohio State University
- Guillermo Paniagua
Engineering · Purdue University West Lafayette
- Ali Ameri
Engineering · The Ohio State University
- James E. Giuliani
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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