Rabi Pathak

About

Innovative Machine Learning & Optimization Engineer with expertise in deep learning, computer vision, signal processing, and numerical modeling for predictive and prescriptive maintenance as well as design and manufacturing optimization.

I specialize in leveraging AI and physics-based modeling to enhance industrial systems, particularly in compressor maintenance using vibration data, telemetry data (temperature, pressure, etc.), and acoustic analysis. My work spans across two deployed solutions and five research projects in R&D, where I develop scalable models to improve reliability, reduce downtime, and optimize performance.

Beyond AI, my background in fluid mechanics and dynamical system analysis includes advanced research in CFD (Finite Volume Method) for modeling thermal comfort, air quality, and multiphase flow, optimizing ventilation strategies for energy efficiency with human comfort and my experience also extends to creating energy efficient systems using Solar Dish Technology for sustainable generation of electricity. I have also worked extensively with numerical optimization techniques to refine engineering designs.

Employment

• Atlas Copco Data Scientist
  2022 - 2025

Education

• Rensselaer Polytechnic Institute PhD
  2025 - 2029
• Indian Institute of Science Bangalore MTech(Research)
  2019 - 2022
• NITTE Meenakshi Institute of Technology B.E
  2015 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• Numerical Analysis to Understand the Influence of Ventilation Systems on the Thermal Comfort Parameters, Air Quality and Local Sweating
  AIAA SCITECH 2026 Forum 2026 0 citations DOI: 10.2514/6.2026-0952
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• AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents
  2026 0 citations DOI: 10.48550/ARXIV.2605.06607
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• Analysis of Sweat Evaporation and Heat Transfer on Skin Surface: A Pointwise Numerical Study
  World Congress on Momentum, Heat and Mass Transfer 2024 2 citations DOI: 10.11159/icmfht24.174
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• ANALYSIS OF STUDENT FORMULA CAR FOR OPTIMUM SAFETY AND PERFORMANCE
  EPRA International Journal of Research & Development (IJRD) 2020 1 citation DOI: 10.36713/epra4095
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• CFD Analysis, Analytical Solution, and Experimental Verification for Design and Analysis of Air Intake of Formula Student Car
  Lecture Notes in Mechanical Engineering 2020 2 citations DOI: 10.1007/978-981-15-1124-0_48
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• Power generation using parabolic dish CSP technology
  AIP Conference Proceedings 2020 1 citation DOI: 10.1063/1.5141596
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