Industry Partnerships
Published:
🏢 Rolls-Royce – Seletar Campus, Singapore
📌 Project Title: Experimental Investigation of High-Frequency Vibratory Media Finishing
🗓 Duration: August 2013 – July 2014
🎯 Objective:
Improve surface finishing quality and reduce lead time in mass finishing operations by using high-frequency vibratory systems to enhance material removal and smoothness on aerospace-grade aluminium parts.
👨🔬 Role: Master's Researcher – Surface Engineering & Experimental Design
🛠 Methods & Technologies:
• Vibratory bowl finishing (aluminium and acrylic chambers)
• High-frequency excitation (TIRA S 55240/LS-340)
• Surface roughness via Taly-scan profilometer
• SEM for surface morphology
• High-speed video for particle motion
• Multi-level DOE with ceramic abrasives
✅ Outcome:
• Achieved Ra = 0.4 µm in reduced time
• Identified optimal frequency-amplitude combinations
• Provided Rolls-Royce with actionable finishing process data
📌 Project Title: Experimental Investigation of High-Frequency Vibratory Media Finishing
🗓 Duration: August 2013 – July 2014
🎯 Objective:
Improve surface finishing quality and reduce lead time in mass finishing operations by using high-frequency vibratory systems to enhance material removal and smoothness on aerospace-grade aluminium parts.
👨🔬 Role: Master's Researcher – Surface Engineering & Experimental Design
🛠 Methods & Technologies:
• Vibratory bowl finishing (aluminium and acrylic chambers)
• High-frequency excitation (TIRA S 55240/LS-340)
• Surface roughness via Taly-scan profilometer
• SEM for surface morphology
• High-speed video for particle motion
• Multi-level DOE with ceramic abrasives
✅ Outcome:
• Achieved Ra = 0.4 µm in reduced time
• Identified optimal frequency-amplitude combinations
• Provided Rolls-Royce with actionable finishing process data
🏢 Singapore Aero Engine Services Pte Ltd (SAESL)
📌 Project Title: Factory Floor Digitization and Asset Monitoring Pilot
🗓 Duration: January 2019 – June 2019
🎯 Objective:
Develop real-time asset monitoring for improved machine utilization and maintenance planning using current sensors and a custom dashboard.
👨🔬 Role: R&D Scientist – Architecture & Integration
🛠 Methods & Technologies:
• Current sensors for equipment activity
• Data acquisition via LabVIEW
• Custom dashboards for utilization metrics
• Pilot proof-of-concept for digitized factory monitoring
✅ Outcome:
• Modular, scalable framework deployed
• Supported SAESL’s digitization roadmap
• Real-time visibility into factory operations
📌 Project Title: Factory Floor Digitization and Asset Monitoring Pilot
🗓 Duration: January 2019 – June 2019
🎯 Objective:
Develop real-time asset monitoring for improved machine utilization and maintenance planning using current sensors and a custom dashboard.
👨🔬 Role: R&D Scientist – Architecture & Integration
🛠 Methods & Technologies:
• Current sensors for equipment activity
• Data acquisition via LabVIEW
• Custom dashboards for utilization metrics
• Pilot proof-of-concept for digitized factory monitoring
✅ Outcome:
• Modular, scalable framework deployed
• Supported SAESL’s digitization roadmap
• Real-time visibility into factory operations
🏢 Nestlé Singapore (Pte) Ltd. & PT Nestlé Indonesia – Karawang Factory
📍 Locations: Singapore & Karawang, Indonesia
🗓 Duration: 2018 – 2019
📌 Project Title: Moisture Optimization and Production Volume Analysis
🎯 Objective:
Moisture control in powder-based FMCG products using hyperspectral imaging; production volume optimization via SCADA data analysis.
👨🔬 Role: Consultant – Imaging, Data Pipeline Architect
🛠 Methods & Technologies:
• Hyperspectral imaging calibration
• Ground-truth moisture matching
• Root cause analysis of SCADA logs
• Exploratory and predictive analytics
✅ Outcome:
• Inline pilot validated
• ML pipeline proposed for future use
• Production insights drove process change
📍 Locations: Singapore & Karawang, Indonesia
🗓 Duration: 2018 – 2019
📌 Project Title: Moisture Optimization and Production Volume Analysis
🎯 Objective:
Moisture control in powder-based FMCG products using hyperspectral imaging; production volume optimization via SCADA data analysis.
👨🔬 Role: Consultant – Imaging, Data Pipeline Architect
🛠 Methods & Technologies:
• Hyperspectral imaging calibration
• Ground-truth moisture matching
• Root cause analysis of SCADA logs
• Exploratory and predictive analytics
✅ Outcome:
• Inline pilot validated
• ML pipeline proposed for future use
• Production insights drove process change
🏢 AC²T Research GmbH – Austrian Competence Centre for Tribology
📍 Location: Viktor-Kaplan-Straße 2/C, 2700 Wiener Neustadt, Austria
📅 Duration: 2020 – 2023
📌 Project Title: Predictive Monitoring of Self-Lubricating Bearings
🎯 Objective:
Develop a semi-supervised ML framework for detecting abnormal tribological regimes using AE signals from oscillating bushings.
👨🔬 Role: Lead Researcher – ML Design & Signal Processing
🛠 Methods & Technologies:
• Custom tribometer with AE & force sensors
• VAE + LSTM models for wear detection
• Sliding window evaluation of wear cycles
✅ Outcome:
• Detected wear onset 3,000+ cycles early
• 97% accuracy on normal regime detection
• Published in Friction (Springer, 2022)
📍 Location: Viktor-Kaplan-Straße 2/C, 2700 Wiener Neustadt, Austria
📅 Duration: 2020 – 2023
📌 Project Title: Predictive Monitoring of Self-Lubricating Bearings
🎯 Objective:
Develop a semi-supervised ML framework for detecting abnormal tribological regimes using AE signals from oscillating bushings.
👨🔬 Role: Lead Researcher – ML Design & Signal Processing
🛠 Methods & Technologies:
• Custom tribometer with AE & force sensors
• VAE + LSTM models for wear detection
• Sliding window evaluation of wear cycles
✅ Outcome:
• Detected wear onset 3,000+ cycles early
• 97% accuracy on normal regime detection
• Published in Friction (Springer, 2022)
🏢 Bystronic Laser AG – Berufsbildung
📍 Location: Industriestrasse 21, 3362 Niederönz, Switzerland
📅 Duration: March 2023 – November 2023
📌 Project Title: Real-Time Quality Monitoring in Laser Cutting using Acoustic Emissions
🎯 Objective:
Detect real-time burr formation and incomplete cuts using airborne acoustic sensors in high-speed industrial laser cutting processes.
👨🔬 Role: Research Lead – Sensor Integration & ML Modeling
🛠 Methods & Technologies:
• Acoustic sensors (Avisoft, VS45-H)
• 1 MHz sampling, CNN classification
• Frequency analysis of cut-through events
✅ Outcome:
• Detected cut errors acoustically
• Pilot for smart quality assurance
• Commercial feasibility validated
📍 Location: Industriestrasse 21, 3362 Niederönz, Switzerland
📅 Duration: March 2023 – November 2023
📌 Project Title: Real-Time Quality Monitoring in Laser Cutting using Acoustic Emissions
🎯 Objective:
Detect real-time burr formation and incomplete cuts using airborne acoustic sensors in high-speed industrial laser cutting processes.
👨🔬 Role: Research Lead – Sensor Integration & ML Modeling
🛠 Methods & Technologies:
• Acoustic sensors (Avisoft, VS45-H)
• 1 MHz sampling, CNN classification
• Frequency analysis of cut-through events
✅ Outcome:
• Detected cut errors acoustically
• Pilot for smart quality assurance
• Commercial feasibility validated
🏢 Fraunhofer Institute for Laser Technology ILT
📍 Location: Steinbachstraße 15, 52074 Aachen, Germany
📅 Duration: 2022 – 2023
📌 Project Title: Compact LPBF Module for Alloy Research & Monitoring
🎯 Objective:
Develop a lab-scale LPBF machine for experimental alloys with sensor access and dual-laser (IR + green) capability for interaction studies.
👨🔬 Role: Technical Collaborator – Sensor Access & Architecture
🛠 Methods & Technologies:
• Modular chamber with access ports
• Interchangeable IR/green laser heads
• Preheat + shielding environment
• Real-time sensor integration
✅ Outcome:
• Delivered compact LPBF to EMPA
• Enabled in situ process control research
• Supported by Canton of Bern collaboration
📍 Location: Steinbachstraße 15, 52074 Aachen, Germany
📅 Duration: 2022 – 2023
📌 Project Title: Compact LPBF Module for Alloy Research & Monitoring
🎯 Objective:
Develop a lab-scale LPBF machine for experimental alloys with sensor access and dual-laser (IR + green) capability for interaction studies.
👨🔬 Role: Technical Collaborator – Sensor Access & Architecture
🛠 Methods & Technologies:
• Modular chamber with access ports
• Interchangeable IR/green laser heads
• Preheat + shielding environment
• Real-time sensor integration
✅ Outcome:
• Delivered compact LPBF to EMPA
• Enabled in situ process control research
• Supported by Canton of Bern collaboration
🏢 Synova S.A.
📍 Location: Route de Genolier 13, 1266 Duillier (Nyon), Switzerland
📅 Duration: 2023 – 2024
📌 Project Title: Real-Time Material Differentiation in Water Jet-Guided Laser Cutting
🎯 Objective:
Improve process control in WJGL systems by detecting material transitions using acoustic and optical emissions for selective stopping during micromachining.
👨🔬 Role: Research Collaborator – Signal Processing & Neural Networks
🛠 Methods & Technologies:
• Sensor fusion: acoustic + optical
• Neural networks for multilayer detection
• RMS/variance feature extraction
• Real-time coating removal detection
✅ Outcome:
• Enabled material transition detection
• Reduced base material damage
• Supported Innosuisse-funded innovation (#58389.1 IP-ICT)
📍 Location: Route de Genolier 13, 1266 Duillier (Nyon), Switzerland
📅 Duration: 2023 – 2024
📌 Project Title: Real-Time Material Differentiation in Water Jet-Guided Laser Cutting
🎯 Objective:
Improve process control in WJGL systems by detecting material transitions using acoustic and optical emissions for selective stopping during micromachining.
👨🔬 Role: Research Collaborator – Signal Processing & Neural Networks
🛠 Methods & Technologies:
• Sensor fusion: acoustic + optical
• Neural networks for multilayer detection
• RMS/variance feature extraction
• Real-time coating removal detection
✅ Outcome:
• Enabled material transition detection
• Reduced base material damage
• Supported Innosuisse-funded innovation (#58389.1 IP-ICT)