Shahis Hashim

About

I’m a mechanical engineer with lots of interdisciplinary skills I’ve picked up along the way. I hold a PhD focused on applying signal processing and AI to gearbox health monitoring. Along with analytics—mainly using Matlab—I have hands‑on hardware experience with advanced sensor systems and designing test rigs. I worked on many application‑based consultancy projects during my PhD—for industries including defence research. I also mentored and instructed both academic and industry partners. I’ve taken on techno‑managerial roles like purchasing, testing, and integrating advanced sensors for in‑house labs and clients. Currently, I’m a Development Engineer on Carl Zeiss SMT’s Assembly Process Integration team.

Employment

• Carl Zeiss (Germany) Development Engineer
  2025 - Present
• Indian Institute of Technology Madras Project Associate
  2024 - 2025
• Energy Research Institute, Nanyang Technological University India Conncet Research Fellow
  2023 - 2023
• Indian Institute of Technology Madras Research Scholar
  2018 - 2025

Education

• Indian Institute of Technology Madras Doctoral Degree
  2018 - 2025
• National Institute of Technology Agartala Master of Technology (Machine Design)
  2016 - 2018
• University of Kerala Bachelor of Technology
  2011 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• An advanced framework for efficient Variational Mode Extraction in gearbox vibration response analysis
  Measurement 2026 DOI: 10.1016/j.measurement.2025.118384
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• Tacho-less spur gear condition monitoring at variable speed operation using the adaptive application of variational mode extraction
  Structural Health Monitoring 2025 DOI: 10.1177/14759217241247867
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• An approach for adaptive filtering with reinforcement learning for multi-sensor fusion in condition monitoring of gearboxes
  Computers in Industry 2025 DOI: 10.1016/j.compind.2024.104214
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• Automated signal processing for condition monitoring of rotating machinery
  30th International Congress on Sound and Vibration 2024
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• Variational Mode Decomposition based Vibro-Acoustic Analysis for Spur Gear Fault Detection
  INTER-NOISE and NOISE-CON Congress and Conference Proceedings 2023 DOI: 10.3397/in_2023_0341
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• A spectral kurtosis based blind deconvolution approach for spur gear fault diagnosis
  ISA Transactions 2023 DOI: 10.1016/j.isatra.2023.07.035
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