Faizan Tariq Beigh

About

I am Faizan Tariq Beigh , Curently Pursuing Ph.D. from IIT Delhi. I am a part of the Interdisciplinary Microsystems Lab (IML), headed by Dr. Dhiman Mallick with expertise in flexible electronics and laser- induced Graphene (LIG).
I have developed a reproducible recipe to imprint high-quality graphene with exceptional accuracy and repeatability, achieving a density of over 130 mg/cm³ without additional doping.
I havePresented work at international conferences, demonstrating the integration of machine learning to optimize laser parameters for enhanced surface properties of LIG, enabling scalable and sustainable applications in advanced materials.After my docterate work i have also worked on various machine work which helped us to detect the human activity moring with application of cammera.
I have also worked on the bottom-up development of photopatternable nano-composites for mechanical energy harvesting via dual piezoelectric/triboelectric properties that can be integrated to machine learning for intelligent sensing systems

Employment

• Indian Institute of Technology Delhi Ph.D. Researcher
  2022 - Present
• Indian Institute of Science Bangalore Project Associate
  2021 - 2021

Education

• University of Kashmir Master's in Engineering
  2019 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Geometry-Engineered Porous Graphene Microheaters for Efficient Electrothermal Heating, Temperature Sensing, and Deicing Applications
  ACS Applied Electronic Materials 2026 DOI: 10.1021/acsaelm.6c01751
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• Parametrically Engineered Laser-Induced Graphene with Tunable Electrical and Morphological Properties for Flexible Sensor Applications
  ACS Omega 2026 DOI: 10.1021/acsomega.6c03731
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• Ambient Process Controlled Laser-Induced Graphene with Tunable Wettability and Electrical Performances for Multifunctional Surfaces
  ACS Applied Engineering Materials 2026 DOI: 10.1021/acsaenm.5c01050
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• Lithographically patternable SU-8/Graphene nanocomposite based strain sensors for soft-MEMS applications
  Journal of Micromechanics and Microengineering 2024 DOI: 10.1088/1361-6439/ad690e
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• Magnetically Polarizable Energy-Efficient Magnetoelectric Core–Shell Nanocomposites for Magnetic Field Sensing
  IEEE Sensors Journal 2024 DOI: 10.1109/JSEN.2024.3415388
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• Machine Learning Enabled Hind Foot Deformity Detection Using Individually Addressable Hybrid Pressure Sensor Matrix
  2023 IEEE 36th International Conference on Micro Electro Mechanical Systems (MEMS) 2023 DOI: 10.1109/mems49605.2023.10052134
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• Intelligent Workplace Activity Monitoring and Detection Using Self-Powered Triboelectric/Piezoelectric Sensor Augmented Machine Learning
  IEEE Sensors Letters 2023 DOI: 10.1109/LSENS.2023.3276814
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• A New Low Power Bi-Stable RF-MEMS Based Energy Harvester for NOMA Driven Industrial Internet of Things (IIoT)
  2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) 2022 DOI: 10.1109/impact55510.2022.10029123
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• Optimized MEMS Circular Membrane Resonators for Mechanical Energy Harvesting and Sensing for IoT Application
  2020 5th IEEE International Conference on Emerging Electronics (ICEE) 2020 DOI: 10.1109/icee50728.2020.9777018
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