Contact Information
| Name | Obed Mogaka |
| obed.mogaka@mdu.se | |
| Location | Västerås, Sweden |
| Website | https://obedmogaka.com |
Professional Summary
Doctoral Researcher at the HERO group, Mälardalen University, working on energy-efficient deep learning inference for resource-constrained embedded hardware. Research spans model compression, fixed-point quantization, and FPGA-based neural network accelerators for edge and real-time applications.
Education
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2024 – Present PhD in Computer Science and Engineering
Mälardalen University (MDU)
- Research group: Heterogeneous Systems (HERO), IDT
- Focus: Accelerating Deep Learning Inference on Resource-Constrained Hardware
- Supervisor: Masoud Daneshtalab
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2022 – 2024 MSc in Electronics and Communications Engineering
Egypt-Japan University of Science and Technology (E-JUST)
- Thesis: "An FPGA-Based Deep Learning Accelerator for Remote Sensing Applications"
- Grade: Distinction
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2014 – 2019 BSc in Electrical and Electronic Engineering
Jomo Kenyatta University of Agriculture and Technology (JKUAT)
- Specialisation in Electrical Power Engineering
Experience
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Sep 2024 – Present Västerås, Sweden
Doctoral Researcher
Mälardalen University (MDU)
- Designing fixed-point quantization-to-FPGA deployment workflows for DNN accelerators
- Developing tiled FPGA CNN accelerators and memory-aware execution strategies
- Teaching assistance in embedded systems MSc courses
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Jan 2025 – Jun 2025 Västerås, Sweden
Teaching Assistant
Mälardalen University (MDU)
- Course: Programming of Reliable Embedded Systems (DVA481), MSc level
- Led lab sessions and provided student support in real-time embedded programming
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Nov 2020 – Jan 2022 Nairobi, Kenya
Electronics/Electrical Engineer — Space Systems
Sayarilabs
- Developed and evaluated electronics for satellite systems, including payload-processing hardware
- Procured and qualified commercial off-the-shelf electronics for space applications
- Planned and executed electrical testing for mission hardware
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Sep 2019 – Oct 2020 Nairobi, Kenya
Junior Embedded Hardware Engineer
8teq Solutions Ltd
- Designed and implemented embedded and IoT device prototypes
- Worked across hardware design, firmware integration, debugging, and test automation
- Evaluated system reliability, stability, and resource constraints
Selected Publications
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2025 Bridging Quantization and Deployment: A Fixed-Point Workflow for FPGA Accelerators
Obed M. Mogaka, Håkan Forsberg, Masoud Daneshtalab — 28th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems
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2024 TinyEmergencyNet: A hardware-friendly ultra-lightweight deep learning model for aerial scene image classification
Obed M. Mogaka, Rami Zewail, Koji Inoue, Mohammed S. Sayed — Journal of Real-Time Image Processing
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2024 An FPGA-Based Deep Learning Accelerator for Remote Sensing Applications
Obed M. Mogaka — M.Sc. Thesis, E-JUST
Skills
Programming: Python, C/C++, MATLAB, LaTeX
Hardware & EDA: VHDL, Vivado HLS, Vitis AI, Xilinx Vivado, FPGA synthesis
ML Frameworks: PyTorch, TensorFlow, ONNX
Web: HTML, CSS, JavaScript, Astro
Languages: English (fluent), Kiswahili (native)