Sina Asadiyan
Research Scientist at Sharif University of Tech.
Tehran, Iran
Summary
👤
Senior🎓
Top SchoolSina Asadiyan is a research scientist with eight years of experience specializing in deep learning hardware acceleration and quantum machine learning, combining FPGA HLS, OpenCL, CNNs, and computer vision techniques. Currently pursuing a PhD in Electrical and Electronics Engineering at Sharif University of Technology, he brings a strong academic foundation built on a master's from Iran University of Science and Technology and a bachelor's from University of Tabriz. His work sits at the intersection of algorithm and hardware co-design, focused on squeezing real-time performance from resource-constrained FPGA platforms while exploring quantum approaches to ML. Based in Tehran, Sina blends rigorous theoretical training with practical implementation skills, often translating research prototypes into high-level synthesis flows. Notably, he maintains active research engagement across QML and FPGA acceleration communities, signaling a curiosity for emerging compute paradigms beyond conventional deep learning.
8 years of coding experience
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at University of TabrizMaster's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Iran University of Science and TechnologyDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Sharif University of Technology
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (34)
python9
machine-learning9
tensorflow9
deep-learning9
proxy8
neural-network8
data-science8
socks7
bypass7
golang7
fpga-accelerator7
http-proxy7
ml7
openframeworks7
deep-neural-networks7
Programming languages (4)
Github contributions (5)
sinatv52/Blender-On-Colab
Aug 2020 - Mar 2022
Contributions:36 commits, 34 pushes, 1 branch in 1 year 7 months
sinaasadiyan/BPB-Panel
May 2024 - Mar 2025
A GUI Panel providing Worker subscriptions and Fragment settings and configs, providing configs for cross-platform clients using (singbox-core and xray-core)
Contributions:15 pushes in 9 months
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