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mkfahim/README.md
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Hello! I'm Fahim, a BSc student in Electrical and Electronic Engineering (EEE) at Khulna University of Engineering & Technology (KUET).

About Me

Education

Bachelor of Science in Electrical and Electronics Engineering
Khulna University of Engineering & Technology

  • Relevant Coursework: Semiconductor Physics and Devices, VLSI Design and Technology, Analog VLSI Design, Digital VLSI Design, Advanced Semiconductor Devices, VLSI CAD Tools and Simulation, High-Speed Digital Circuit Design, System-on-Chip (SoC) Design

Research Interests

  • [VLSI Design and Architecture]
  • [System-on-Chip (SoC) Design]
  • [Machine Learning and AI for VLSI Design Automation]
  • [Formal Verification, Model Checking & Design Validation]
  • [Emerging Memory Technologies]
  • [Computational Nanomaterials]

Skills

  • VLSI (Digital Focus):

    • Design & RTL: RTL Design, Digital IC Design, Gate-Level Design, AI Accelerator Design
    • ASIC/SoC Flow: ASIC Design Flow, SoC-Level Design, Floorplanning, Placement & Routing, Clock Tree Synthesis (CTS)
    • Optimization & Analysis: Logic Optimization, Timing Analysis, Power Analysis, Low-Power Design Techniques
  • Verification: Formal Verification, SystemVerilog Assertions (SVA), Testbench Development

  • Analog & AMS: Basic Analog IC Design, Circuit Simulation

  • Programming Languages: SystemVerilog, Verilog, VHDL, Python, C++, C

Tools

OpenROAD • LibreLane • OpenLane • Yosys • ModelSim • Magic • LTspice/Ngspice • Intel Quartus Prime • Xilinx Vivado

Current Projects

Project 1: [Will be updated soon]
Description: [Brief description of the project]
Technologies Used: [List of technologies]
Project 2: [Will be updated soon]
Description: [Brief description of the project]
Technologies Used: [List of technologies]

Connect

Thank you for visiting my profile!

Feel free to explore my repositories and reach out if you have any questions or collaboration ideas.

Contributions

mkfahim

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  1. ai-accelerator-mnist-digit-recognition ai-accelerator-mnist-digit-recognition Public

    Forked from MdOmarFaruque/HW_V1

    Optimized AI accelerator for MNIST digit recognition with FPGA/ASIC implementation. Utilizes RTL design for efficient processing and AXI-4 protocol for data transfer.

    Verilog

  2. caravel_aes_accelerator caravel_aes_accelerator Public

    AES encryption IP core wrapped with Wishbone bus interface for integration into Caravel, built on SkyWater 130nm process using LibreLane flow

    Verilog

  3. fpga-vhdl-lane-detection-hw fpga-vhdl-lane-detection-hw Public

    Forked from Marco-Winzker/FPGA-Vision

    Modular lane detection on FPGA using VHDL. Supports simulation with ModelSim/Quartus

    VHDL

  4. pm32 pm32 Public

    32-bit Parallel Multiplier design

    Verilog