Category Archives: Research News

Highlights of the 4th Japan-Bangladesh Research and Practice Conference 2025

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The 4th International Conference on Japan–Bangladesh Research and Practice (JBRP 2025), organized by the Network of Bangladeshi Researchers in Japan (NBRJ), was successfully held on December 13–14, 2025, in Kawasaki City—one of the major cities in the Greater Tokyo Area and a core part of Japan’s Keihin Industrial Zone.

This flagship event of Network of Bangladeshi Researchers in Japan (NBRJ) served as a platform for knowledge exchange and the presentation of innovative research addressing shared challenges and opportunities across multiple disciplines, with special emphasis on Japan–Bangladesh scientific collaboration and development. The conference proceedings is downloadable from here: https://www.dropbox.com/scl/fi/w03jnnmrg6uv0r3grv4pf/Final-JBRP2025-Proceedings_20251213_V7.pdf?rlkey=4mbe5j9ske06rzm3bvzz0crcd&e=1&st=0uhan670&dl=0

The JBRP 2025 Organizing Committee worked diligently over several months to create an outstanding multidisciplinary program featuring 45 abstracts presented in nine sessions across three thematic tracks:1) Natural and Agricultural Sciences, 2) Medicine, Pharmaceutical, and Public Health, and 3) Business, Humanities, and Social Sciences.  The conference featured world-renowned speakers, including one keynote, one special keynote, and six distinguished plenary speakers:

  • Professor Ken Motokura, Graduate School of Engineering, Yokohama National University
  • Professor Tetsushi Sonobe, National Graduate Institute for Policy Studies (GRIPS)
  • Professor Md. Amzad Hossain, Graduate School of Agriculture, University of the Ryukyus
  • Professor Sahoko Ichihara, Jichi Medical University
  • Dr. Khalid M. Khan, Sam Houston State University
  • Professor Takashi Saito, Health Sciences University of Hokkaido
  • Professor Shoab Bhuiyan, Suzuka University of Medical Science

The conference presented world-class research, covering a broad range of contemporary topics in science, technology, and innovation. It offered participants valuable opportunities for in-depth discussion and academic exchange. Best Presentation Awards were presented to three emerging researchers—Dr. Md. Nabiul Islam (Yamaguchi University), Dr. Md. Mustafizur Rahman (Jahangirnagar University), and Dr. Forhad Hossain (Sophia University)—in recognition of their outstanding contributions.

Most of the presenters were Bangladeshi and Japanese researchers and graduate students working in Japan, Bangladesh, and other countries. Their participation showcased how scholars from both nations are advancing global knowledge and innovation. The event reaffirmed the shared commitment of Bangladesh and Japan to contributing to the global community through research, science, and education.

NBRJ extends heartfelt gratitude to its Board Members—especially Dr. Khandakar Mizanur Rahman, President of NBRJ, and Dr. Sharif Ura, Representative Director—for their unwavering support throughout the conference, as well as to the track advisors:

  • Natural and Agricultural Sciences: Dr. Md. Amzad Hossain, Dr. S. M. A. Hakim Siddiki,Dr. Tofael Ahmed, Dr. Anisur Rahman Jamil
  • Medicine, Pharmaceutical, and Public Health: Dr. Md. Riasat Hasan, Dr. Shafiur Rahman, Dr. Md. Shiblur Rahman, Dr. Tazbir Ahmed
  • Business, Humanities, and Social Sciences: Dr. Khandakar Mizanur Rahman, Dr. Mohammad Abdul Malek, Dr. Jahangir Alam, Dr. Ranjan Saha Partha

NBRJ also acknowledges the dedicated efforts of:

  • Dr. Mohammad Abdul Malek (General Chair)
  • Dr. S. M. A. Hakim Siddiki (Technical Committee Co-Chair)
  • Dr. Shafiur Rahman (Technical Committee Co-Chair)
  • Dr. Md. Shiblur Rahman (Organizing Committee Co-Chair)
  • Dr. Anisur Rahman Jamil (Organizing Committee Co-Chair)

Special thanks are extended to Mr. Md. Daud Ali, His Excellency the Ambassador of Bangladesh to Japan, and Dr. Eiji Yamada, Senior Deputy Director at JICA, for their valuable contributions to the concluding panel discussion titled “Deciphering the Bangladesh Development Miracle.”

The 4th NBRJ-JBRP 2025 Conference was also supported by KCF Co. Ltd (www.kcfjp.com) and Biggani.org. 

JBRP 2025

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We are happy to announce that the 4th Japan-Bangladesh Research and Practice (JBRP) will be held at Kawasaki, Kanagawa, Japan, from 13-14 December. We expect many researchers to gather together and share their ideas and experiences. You are most welcome to submit an abstract of your work and present your work at the conference. Please check the conference site for the details.

New paper at Am J of Ag. Economics settle debate on system of rice intensification

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The final paper on system of rice intensification (RCT with BRAC Bangladesh) finally got published in Am J of Agr Econ by Christopher B. Barrette (Connell University), Asad Islam (Monash University), Abdul Malek (University of Tsukuba), Deb Pakrashi Pakrashi (IIT, Kanpur) and Ummul Ruthbah (Monash University). Our results may help settle intense debates around SRI as a tool for boosting rice productivity and rice farmers’ well-being in the Global South.

For the paper, you may access here:

https://onlinelibrary.wiley.com/doi/10.1111/ajae.12245

A New Statistical Parameter Extraction Technique

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A research group from Kyoto University led by Mahfuzul Islam developed a novel statistical parameter extraction technique that will help LSI (Large Scale Integration) circuit designers to accurately predict their chip performances.

Kensuke Murakami, Mahfuzul Islam, and Hidetoshi Onodera, “CDF Distance Based Statistical Parameter Extraction Using Nonlinear Delay Variation Models,” in 27th IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), June 2021.

Statistical parameter extraction is a technique to estimate the distributions of underlying physical parameters from a set of distributions of the observed parameters. For example, in the case of a MOS (Metal Oxide Semiconductor) transistor, the observable parameter is its drain current. However, the drain current of a MOS transistor is determined by many physical parameters such as the channel doping density, gate length, oxide thickness, work functions, and so on. The problem is that these parameters are statistical and thus the chip performance also becomes statistical. Estimation of chip’s performance, therefore, refer to estimating the distribution of the chip performance and calculating the worst-case value under certain probability. Thus, it is essential to have accurate statistical models of the physical parameters and simulate the circuit with the accurate models.

Estimation of the distributions of the physical parameters is challenging simply because we cannot measure them directly. We have to calculate their distributions from the distributions of the observable parameters, for example the current or frequency. State-of-the-art extraction techniques, that are often based on simple linear models, worked well under limited scenarios. These techniques also assume that the physical parameters follow normal distributions. However, with the advancement of CMOS technology, we encounter with new phenomena of noise and variation that the assumption of normal distribution does not hold anymore. As a result, there was a need for a new technique that can work with any distributions as well as with nonlinear models. This paper utilizes the concept of comparing two distributions using CDF (Cumulative Distribution Function) distance. We have defined a new CDF distance concept to help converge the extraction process quickly. The work is still ongoing. In the future, we expect the presented technique to be incorporated into the commercial simulation tools.