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Ph.D.

• Major- Electrical and Computer Engineering
• Topic- Ferroelectric and BEOL oxide channel device characterization and modeling

B.Tech-M.Tech (Dual Degree)

• Major- Electrical Engineering
• Specialization- Integrated Circuits and Systems

Researcher

• Fabricated BEOL ITO MOSFET for 3D monolithic integration.
• Modeled Globalfoundries 32nm PDSOI MOSFET for operation of neuron to enable a Liquid State Machine based on band to band tunneling (BTBT) in order to exercise benefits of lower variability, and an ultra-low power integrator as compared to ON and (subthreshold) SS operation
• Performed device characterization, TCAD calibration, design space exploration, reliability and variability analysis
• Skills
  • Fabrication- ALD, RF Sputtering, Optical Lithography, Annealing
  • TCAD Modeling (Sentaurus)
  • Device Characterisation- IV, CV, stress (reliability in BTBT, SS and ON)

Undergraduate Researcher

• Developed a framework to enable variability-aware process (Time-0 DVT) and aging (BTI, HCI) degradation for circuits
• Skills
  • HSPICE
  • Reliability empirical and physical modeling

Research and Development Intern

• Integrated PIR (pyro-electric IR) sensors in fans for motion/presence detection based operation to enhance user experience and reduce energy consumption

Data Science Intern

• Interned with the Data Science team. Worked on hyperspectral imaging provided by sentinel-hub archives to develop a machine learning framework to forecast sugar content and date of harvest. Analysed over 200 sugarcane farms across the nation.

• Undergraduate Research Award (URA01)