Ata Golparvar

ata.golparvar@epfl.ch +41 21 695 43 91 https://atajgolparvar.wordpress.com/
Citizenship: Irani Azerbaijanian
EPFL STI IEM ICLAB
Rue de la Maladière 71b
2000 Neuchâtel
+41 21 695 43 91
Office:
MC A3 195
EPFL
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STI
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Web site: Web site: https://www.epfl.ch/labs/bci/
Fields of expertise
Biography
Ata is currently pursuing Ph.D. in microelectronics and microsystems at the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland. As a junior scientist with a background in electronics, Ata possesses a firm understanding of biomedical circuits and systems, physical and chemical sensors development, and embedded systems. He has considerable expertise in biomedical optics and spectroscopy, as well as clean-room and cleanroom-free (micro)fabrication processes. In addition, Ata also has experience in designing and developing wearable electronics, epidermal bioelectronics, smart textiles, flexible electronics, biodegradable bioelectronics, remote sensing systems, and soft micro/paper fluidics.At the core of his current Ph.D. research is the design and implementation of a wearable optical system and epidermal soft microfluidic devices for the collection and analysis of digital biomarkers from various biofluids, including blood, serum, sweat, and interstitial fluid, leveraging Raman scattering techniques, such as spontaneous Raman, SRS, and SERS.
As part of his master's research, he improved a recently introduced method of functionalizing ordinary fabrics with graphene-based nanomaterials by utilizing cleanroom-free coating and printing techniques and developed advanced sensory interfaces and intelligent medical garments for wearable multimodal cardiac, neural, muscular, and ocular biopotential monitoring, surpassing the traditional sensing locations to enable continues biosignal monitoring from ears and forehead. A chapter of his master thesis is a US/TR patented novel eye-tracking device and eye-movement pattern recognition algorithm with potential applications in remote healthcare as well as human-machine interaction.
Education
M.Sc. in Electronics
Biomedical circuits and systems Wearable/flexible electronics MEMS
Sabanci University (Istanbul, Turkey)
Class of 2019
B.Sc. in Electronics
Mixed-signal integrated circuit Embedded systems
Azad University of Tabriz (Iran)
Class of 2016
Publications
Other publications
PhD Research
[1] Golparvar, A., et al. Very Selective Detection of Low Physiopathological Glucose Levels by Spontaneous Raman Spectroscopy with Univariate Data Analysis. BioNanoScience 2021. https://doi.org/10.1007/s12668-021-00867-w[2] Golparvar, A., et al. Optimized Detection of Hypoglycemic Glucose Ranges in Human Serum by Raman Spectroscopy with 532 nm laser excitation. Photoptics 2022. https://www.scitepress.org/Papers/2022/109813/109813.pdf
[3] Golparvar, A., et al. Rapid, Sensitive, and Selective Optical Glucose Sensing with Stimulated Raman Scattering (SRS). Medical Measurements and Applications (MeMeA) 2022. https://ieeexplore.ieee.org/abstract/document/9856428/
[4] Golparvar, A., et al. Optical urea sensing in sweat for kidney healthcare by sensitive and selective non-enhanced Raman spectroscopy. SPIE Photonic West BIOS 2023. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12387/123870H/Optical-urea-sensing-in-sweat-for-kidney-healthcare-by-sensitive/10.1117/12.2653959.full
[5] Golparvar, A., et al. Highly Accurate Multimodal Monitoring of Lactate and Urea in Sweat by Soft Epidermal Optofluidics with Single-Band Raman Scattering. Sensors and Actuators B: Chemical 2023. https://www.sciencedirect.com/science/article/pii/S0925400523005294
[6] Golparvar, A., et al. Flexible Microfluidics for Raman Measurements on Skin. Medical Measurements and Applications (MeMeA) 2023.
[7] Golparvar, A., et al. Single-band Raman Shift Detection for Spectroscopy-less Optical Biosensors. IEEE Sensors Letters 2023.
Others
- Enhancing Water Safety in Decentralized Water Reuse Systems with Low-Cost Prussian Blue Amperometric Sensors for Free Chlorine Monitoring- New Insights into the I/V hysteretic characteristics of the Silicon Nanowire-based Biosensors
- Design and Characterization of an IoT Multi-Sensing System based on Inkjet Printed Flexible Sensors for Dehydration Monitoring
- Inkjet-printed Soft Intelligent Medical Bracelet for Simultaneous Real-time Sweat K , Na , and Skin Temperature Analysis
- Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat
- Multimodal Sweat Ion and Sweat rate Estimation with Inkjet-printed Flexible Bracelet and Paperfluidic
- In vivo Validation of Smart Device for on Body Hydration Monitoring
- Flexible Silk-based Graphene Bioelectronics for Wearable Multimodal Physiological Monitoring
- Single-arm Diagnostic Electrocardiography with Printed Graphene on Wearable Textiles
- Optimal Digital Filter Selection for Remote Photoplethysmography (rPPG) Signal Conditioning
- Effects of Illuminance Intensity on the Green Channel of Remote Photoplethysmography (rPPG) Signals
- Portable Breathalyzer for Exhaled Volatile Organic Compounds Monitoring in Lung Diseases
- Ear Electrocardiography (ECG) with Soft Graphene Textiles for Hearable Applications
- Gel-Free Wearable Electroencephalography (EEG) with Soft Graphene Textiles
- Smart Armband with Graphene Textile Electrodes for EMG-based Muscle Fatigue Monitoring
- An Arduino-based Remote Health Monitoring and Alert System with Fingertip Photoplethysmography Using PulseSensor
- Towards in situ Monitoring and Feedback Control of Femtosecond Laser-induced Nanogratings Formation in Dielectrics
- Toward Graphene Textiles in Wearable Eye Tracking Systems for Human-Machine Interaction
- Analysis of Pitot tube Airflow Velocity Sensor Behavior in Blockage Situations
- Graphene Smart Textile-Based Wearable Eye Movement Sensor for Electro-Ocular Control and Interaction with Objects
- Wearable and Flexible Textile Electrodes for Biopotential Signal Monitoring: A review
- Electrooculography by Wearable Graphene Textiles
- Graphene-coated Wearable Textiles for EOG-based Human-Computer Interaction
- Wearable Graphene Textile-Enabled EOG Sensing