Research

Applied machine learning in photovoltaics and medical imaging, moving toward the systems side of ML: efficient inference, serving, and multi-agent architectures.

Arifuzzaman Joy · Email · Scholar · ORCID · ResearchGate · CV (PDF)

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7 peer-reviewed papers
4 Q1, impact factor up to 7.1
75+ citations
Google Scholar
First author in Heliyon
Cell Press, Q1
Merged into LLMServingSim
LLM-serving simulator, KAIST research lab

Graduate study

I'm applying to Master's programs in computer science and machine learning systems. My published work is applied ML in two domains with the same instinct behind both: take a physical system that's slow or expensive to measure, and learn a model of it good enough to search. Seven peer-reviewed papers, four of them Q1, 75+ citations, one as first author.

What I want next is the systems side of ML rather than the applications side. Efficient inference and serving, multi-agent architectures, and the memory and scheduling problems that appear when models meet real hardware. That's not a new interest. I've contributed to a KAIST lab's LLM-serving simulator, and my extension of an ICML Spotlight paper was adopted into the authors' own repo. My electrical engineering training is why I find these problems legible.

Publications

Numerical studies on a ternary AgInTe₂ chalcopyrite thin-film solar cell first authorHeliyon · Q1, IF 4.0 · 2023
ML-assisted revelation of the best-performing single heterojunction thermophotovoltaic cellSust. Energy Tech. & Assess. · Q1, IF 7.1 · 2025
ML-enabled performance exploration of AuCuSe₄ in a thermophotovoltaic cellSolar Energy · Q1, IF 6.0 · 2024
Open-source transformers in medical imaging brain MRI, 99.6% accuracyIJACSA · Q2 · 2024
Numerical prediction of PV performance of a CZTS-based thin-film solar cellNano Select · Q2 · 2023

Two further papers in PV simulation and speech processing are indexed on Scholar and not yet listed here. Quartiles follow the latest JCR/Scopus release and vary by database and subject category.

Research experience

Research Assistant, University of Rajshahi (AI & Solar Energy Laboratory), March 2022 to May 2023. Applied neural networks to thermophotovoltaic efficiency optimization, improving efficiency by 18%. That work produced four Q1 journal publications.

B.Sc. in Electrical & Electronic Engineering, University of Rajshahi, 2017 to 2020.

Get in touch

If my interests line up with your group, email me and I'll send a longer statement. The CV is here, no request needed.