Marcobisky

1 EDUCATION

University of Electronic Science and Technology of China (UESTC) (Sept 2022 — Present)

University of Glasgow, Dual Degree Program (Sept 2022 — Present)

Major: Electrical & Communication Engineering BEng; GPA: 3.87/4.0, Ranking: 2/164 (Top 1.2%)
Relevant Coursework: Information Theory, Artificial Intelligence and Machine Learning, Stochastic Processes, Digital Circuit Design, etc.
Online Course: Abstract Algebra, Complex Analysis, Differential Geometry, Convex Optimization, etc.

System-level Co-Design of RISCV Accelerators for TinyML at the Edge (Sept 2025 — Present)

Research Assistant, Prof. Yun Li, UESTC

Designing, implementing and verifying hardware-accelerated DSC and attention kernels in Vision Transformer (ViT) using C++ with RISCV Vector (RVV) intrinsics that are adaptable and efficient for edge computing in Coral NPU framework open-sourced by Google and VeriSilicon in 2025.
Simulating and building with Verilator, Cocotb, Bazel and CMakeLists. Testing on Arty A100T FPGA with real-time camera input and UART object position output.

Developed a lightweight object tracking algorithm that requires only one initial selection, successfully mitigate the intense computation of DNN forward propagation on every frame.
Utilized NCC-based matching, adaptive kernel updating, capable of tracking objects with gradual color and size changes.

Developed an auto quadrotor aircraft for objection detection, route planning, and closed-loop flight control.
Used ROS2 and OpenCV library to implement originally designed computer vision algorithms for real-time landing area detection.

Designed a single-core, single-cycle RISCV 32-bit CPU from scratch in Verilog for RTL simulation and in Digital Software for working principle visualization, open-sourced on Github.
Built a complete datapath including PC, fetcher, decoder, register file, ALU, LRU-based L1 cache, etc., compatible with basic peripherals: GPIOs, IIC, UART, etc.
Implemented a boot program in RISCV assembly, basic delay and GPIO libraries in C. Compiled and simulated using RISCV GNU toolchain.

Originally-designed the second-order Markov Adapative Approximation (AME) to perform source coding of the Game of Thrones using Python and Matlab.
Evaluated and compared the performance of AME, Huffman and Fano coding.

CNN/LSTM for Embedded Systems (Feb 2024 — May 2024)

Designed and Integrated CNN and LSTM models into STM32 MCU for end-to-end patient fall detection of accuracy 95%, temperature monitoring and real-time data visualization.
Manually collected and labeled time-series 3D acceleration dataset. Trained models on Linux, then hardcoded and accelerated them in C++ on MbedOS for real-time inference.

Human Voice Recognition Smart Car (Sept 2023 — Dec 2023)

Designed and implemented a voice-controlled car on STM32F103 using C standard libraries, supporting actions such as moving forwards/backwards, turning/sliding left/right.
Led a 4-member team in the project.

Digital Door Lock for Dormitory (Sept 2023 — Oct 2023)

Designed and implemented an embedded digital door lock system in C++ on Nucleo L432KC MCU.
Developed basic functions include manually setting up password, automatically lock for repeated wrong passwords, OLED message displaying, etc.
Led a 3-member team in the project.

IT Skills: Latex, Quarto Markdown, Linux, Manim, Github.

Programming: C/C++, Python, RISCV Assembly, Verilog, Makefile, Bazel, Chisel, Matlab.

Language: Native Chinese, Fluent English (IELTS 7).

Top Academic Scholarship of UESTC (Top 5%) (Dec 2023, Dec 2024)

China National Scholarship (Top 0.2%) (Dec 2024)