Apurbo Biswas

Apurbo Biswas

CSE undergraduate building applied AI systems across vision, language, forecasting, and healthcare research.
Research author and academic reviewer.

Academic Service

I contribute to the research community through peer review, evaluating technical rigor, experimental design, reproducibility, novelty, and clarity in applied AI and interdisciplinary computational work.

IEEE Access

Journal Reviewer

Assessed novelty, technical rigor, experimental validation, and reproducibility of AI-driven research.

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PLOS ONE

Journal Reviewer

Reviewed interdisciplinary computational research connecting machine learning methods with real-world applications.

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IGI Global

Book Chapter Reviewer

Evaluated scholarly chapters in emerging technologies, cybersecurity, and applied artificial intelligence systems.

Acknowledged reviewer

Review Lens

Novelty
Technical rigor
Experimental validation
Reproducibility