Nimisha Borah

About

Electronics and Communication undergraduate with research internship experience in perovskite solar cells, computer vision, and digital design. Interested in RTL design, functional verification, and deep learning-based robotics and vision systems.

Experience

• Summer Research Intern
  IIT Guwahati
  Jun 2025 – 2025

  Simulated and optimized 2D/3D perovskite solar cells using SCAPS-1D, modeling absorber thickness, defect density, carrier transport layers, and temperature effects on performance. Designed a hierarchical bilayer of Cs2GeI2Br2 (2D) and Cs0.07FA0.85MA0.08Pb(IBr)3 (3D) to enhance light absorption and carrier extraction.

• Winter Research Intern
  IIT Guwahati
  Dec 2024 – 2024

  Researched deep learning architectures including Transformer Networks, U-Net, CNN, and FastViT for computer vision tasks. Built a 3D hand mesh reconstruction model from 2D images using the FreiHAND dataset and trained and optimized models end-to-end using PyTorch and TensorFlow.

• Summer Intern
  NIELIT
  Jul 2023 – 2023

  Designed a Low Pass FIR Filter in VHDL for ECG signal denoising. Worked on FPGA programming and Verilog-based digital circuit design with logic verification. Gained hands-on exposure to CAD tools for CMOS and NMOS gate-level development.

Education

• Bachelor of Technology (B.Tech)
  Gauhati University Institute of Science and Technology · Gauhati University
  Electronics and Communication Engineering (ECE) · 2022 – 2026

Skills

Tools / apps / platforms

Projects

• RTL Design and Functional Verification of an 8-Bit ALU
  Verilog HDL, Icarus Verilog, GTKWave

  Designed a synthesizable 8-bit ALU using Verilog HDL, developed testbenches, performed functional verification, and analysed simulation waveforms to debug logic errors and improve reliability.

• RTL Synthesis and PPA Analysis of Digital Circuits
  Verilog, Yosys, OpenSTA

  Synthesized Verilog RTL designs into gate-level netlists, analysed timing reports and critical paths, and compared reports to evaluate Power, Performance, and Area trade-offs.

• Proximal Policy Optimization (PPO)-Based Snake Robot Navigation using Reinforcement Learning
  PyBullet, Gymnasium, Stable-Baselines3, PPO

  Developed a PPO-based snake robot for autonomous navigation across multiple terrains and implemented curriculum learning to improve adaptability and locomotion.

📚 Publications

• Dimensional Engineering of Perovskite Absorbers: Bridging 2D/3D Materials for Enriching Efficiency by 30% ↗ · 2026