By Musammad M Tamanna

Artificial Intelligence in Modern Research: Tools, Techniques, Ethics and Applications, authored by Fayazunnesa Chowdhury and Prof Dr. Imran Mahmud, is a timely academic contribution to the rapidly changing landscape of research and higher education.

The book was published at a moment when Artificial Intelligence is no longer a distant technological concept. It is already reshaping how students search literature, researchers design methods, academics prepare manuscripts, and institutions think about integrity, productivity, and knowledge creation.

The authorship itself gives the book a strong academic foundation.

Fayazunnesa Chowdhury is an academic, researcher, columnist, and author specializing in computer science, software engineering, artificial intelligence, and data science. She is a Faculty Member in the Department of Software Engineering at Daffodil International University and is currently a UGC PhD Fellow pursuing doctoral research at Jashore University of Science and Technology. Her research interests include AI in modern research, machine learning, educational technology, data-driven decision-making, and precision livestock management. As a columnist, she also writes on emerging technologies, education, agriculture, climate change, women’s rights, youth development, and digital transformation.

Dr. Imran Mahmud is a Professor and Head of the Department of Software Engineering at Daffodil International University.

His academic profile includes technology management, software engineering, human-computer interaction, information systems, digital behavior, structural equation modeling, and machine learning. He has held visiting academic positions in Malaysia, Vietnam, and Turkey, and has an extensive record of Scopus-indexed publications and research supervision. His scholarly experience adds depth, credibility, and methodological strength to the book.

Together, the authors bring two important perspectives: the practical concerns of emerging researchers and the scholarly maturity of an experienced academic leader. This combination makes the book useful for a wide range of readers.

To the best of this reviewer’s knowledge, Artificial Intelligence in Modern Research is one of the first research-oriented academic books in Bangladesh that presents AI not merely as a technological tool, but as a responsible companion throughout the research journey.

This is the central value of the book. It does not encourage readers to treat AI as a shortcut. Rather, it explains how AI can support research while preserving academic integrity, originality, transparency, and ethical responsibility.

The book covers the major stages of academic research, including literature review, research gap identification, research planning, methodology development, data collection, data analysis, academic writing, referencing, ethics, reproducibility, and publication preparation. For students who are beginning their first thesis or research project, this structure can serve as a practical roadmap. Many students struggle not because they lack interest, but because they do not know how to begin, how to organize their work, or how to connect available tools with proper academic practice. This book addresses that need in a clear and accessible way.

For early-career researchers, the book offers a structured understanding of how AI can improve research workflow. It shows how AI may help in reading, organizing, summarizing, analyzing, editing, and preparing manuscripts. At the same time, it repeatedly reminds the reader that AI-generated outputs must be checked, verified, interpreted, and ethically used. This balanced position is one of the strongest features of the book.

The book is also highly relevant for faculty members and academic supervisors. In today’s universities, students are already using AI for assignments, thesis writing, coding, paraphrasing, literature searching, and idea generation. Therefore, educators cannot ignore AI. They need to understand how it works, where it can help, and where it creates risks. This book can support teachers and supervisors in guiding students toward responsible use instead of uncritical dependence.

Another important strength of the book is its emphasis on research ethics. In the age of AI-assisted writing and automated content generation, questions of authorship, plagiarism, citation, transparency, and accountability have become more important than ever. The book rightly argues that good research is not only about producing output. It is also about credibility, honesty, reproducibility, and responsible knowledge production.

The book’s interdisciplinary relevance also deserves attention. Although it is rooted in AI and research methodology, its discussion is useful across different fields, including science, technology, education, agriculture, health, business, and social research. This makes the book valuable not only for computer science students, but also for researchers from other disciplines who want to understand how AI can support academic work.

For experienced researchers and professionals, the book provides an organized perspective on AI-supported research management. It encourages readers to think about documentation, transparency, reproducibility, publication readiness, and quality assurance. In this sense, the book is not only introductory. It also invites advanced readers to reflect on how research practice itself is changing.

Overall, Artificial Intelligence in Modern Research is a meaningful and timely contribution to Bangladesh’s academic and research community. Its greatest strength is that it does not present AI as a replacement for researchers. It presents AI as a tool that must be understood, questioned, verified, and used responsibly.

The future of research will not belong only to those who use AI. It will belong to those who can combine AI with critical thinking, ethical judgment, methodological clarity, and human responsibility. This book is an important step toward that future.

The book is available at
Rokomari:
[https://www.rokomari.com/book/559725/artificial-intelligence-in-modern-research](https://www.rokomari.com/book/559725/artificial-intelligence-in-modern-research)

Pustok Prokashon:
[https://pustokprokashon.com/books/artificial-intelligence-in-modern-research-2938](https://pustokprokashon.com/books/artificial-intelligence-in-modern-research-2938)