Manosh Biswas | computational Biology | Bioinformatics Contribution Award

Dr. Manosh Biswas | computational Biology | Bioinformatics Contribution Award 

Associate Professor, African Genome Center, United Kingdom

Manosh Kumar Biswas is a dedicated professional in the fields of biology and bioinformatics, with extensive experience in teaching, research, and project management. His expertise spans various domains, including student mentoring, research proposal writing, and effective networking. Manosh’s commitment to continuous learning and his ability to navigate diverse professional environments underscore his unwavering determination and passion for the sciences.

Publication Profile

Google Scholar

 

Strengths for the Award:

  1. Diverse Expertise and Experience:Research Experience: Manosh Kumar Biswas has a solid background in bioinformatics, demonstrated by his roles across several prestigious institutions, including the University of Sussex, University of Leicester, Sunchon National University, and Guangdong Academy of Agricultural Sciences. His research experience spans from designing experiments to analyzing complex biological data.Publication Record: Over 70 research articles with a cumulative impact factor of 80+ and significant citation metrics (3141 citations, h-index 27) showcase his impactful contributions to the field.Teaching and Mentoring: His extensive teaching experience, including courses in bioinformatics and molecular biology, as well as mentoring MSc and PhD students, reflects his dedication to education and capacity-building in the field.
  2. Leadership and Contribution:Editorial and Review Roles: Serving as a guest editor and editorial board member for several journals, and a reviewer for many peer-reviewed journals, highlights his active engagement and influence in the bioinformatics community.Awards and Grants: Recognition through prestigious awards and grants such as the NSFC research fund, Chinese government scholarship, and various conference prizes indicate his research excellence and competitiveness.
  3. Interdisciplinary Skills:Technical Proficiency: Skills in high-performance computing, database systems, and programming languages (e.g., R, Perl, C++) complement his bioinformatics expertise, allowing him to tackle complex bioinformatics challenges.

Areas for Improvement:

  1. Specific Bioinformatics Contributions:Detailed Impact: While his CV highlights general achievements, more specifics on his bioinformatics research projects, methodologies, and outcomes could strengthen his case. For instance, detailing specific bioinformatics tools or algorithms he has developed or applied would illustrate his contributions more clearly.
  2. Collaborative Impact:Collaborative Projects: Although he has established numerous international collaborations, providing examples of how these collaborations have advanced the field of bioinformatics would offer a clearer picture of his impact.
  3. Community Engagement:Bioinformatics Community: While he has been involved in teaching and mentoring, highlighting any additional contributions to the bioinformatics community (e.g., organizing conferences, workshops) could further underscore his commitment to advancing the field.

 

Education

🎓 Manosh Kumar Biswas holds a Ph.D. in Molecular Biology and Bioinformatics from Huazhong Agricultural University, China (2006-2010). He also earned an MPhil in Biotechnology, a PGD in Information Technology, and an MSc in Plant Breeding, all from the University of Rajshahi, Bangladesh. His educational journey began with a BSc in Botany from the same university.

Experience

💼 Manosh Kumar Biswas has a wealth of experience across prestigious institutions. He recently served as a Research Fellow in Biology at the University of Sussex, UK (2022-2023), and as a Research Associate at the University of Leicester, UK (2018-2022). Previously, he held research positions at Sunchon National University, South Korea; Guangdong Academy of Agricultural Sciences, China; and Huazhong Agricultural University, China. His experience also includes roles in teaching, bioinformatics research, and supervision of MSc and Ph.D. students.

Research Focus

🔬 Manosh’s research interests include bioinformatics, molecular biology, biostatistics, population genetics, and molecular breeding. He has actively contributed to developing and applying advanced computational tools and methods in biological research, enhancing data analysis, and fostering innovations in genomics and biotechnology.

Awards and Honours

🏆 Manosh Kumar Biswas has been recognized with numerous awards, including the prestigious research grant from the Natural Science Foundation of China (2016-2017), the China Postdoctoral Fellowship (2010-2013, 2013-2015), and the Chinese Government Scholarship for his Ph.D. (2006-2010). He also won the 1st prize for the best article at the 5th Annual Congress of the Chinese Society of Citriculture (2010) and the 2nd prize at the 4th Annual Congress (2009).

Publications Top Notes

📚 Manosh Kumar Biswas has published over 70 research articles in reputed journals with a cumulative impact factor of over 80. His work has garnered over 3,141 citations, boasting an h-index of 27 and an i10-index of 49. He has established more than 15 international collaborations and serves as a guest editor and reviewer for several prestigious journals.

Biswas, M. K. et al. (2023). Advances in Bioinformatics: Applications in Molecular Breeding. Journal of Genomics and Bioinformatics. Link – Cited by 150 articles.

Biswas, M. K. et al. (2022). Molecular Marker Development for Cavendish Genotyping. Plant Science Research. Link – Cited by 98 articles.

Biswas, M. K. et al. (2021). Functional Genomics in Agriculture: Techniques and Applications. Frontiers in Plant Science. Link – Cited by 200 articles.

Conclusion:

Manosh Kumar Biswas is a strong candidate for the Research for Bioinformatics Contribution Award due to his extensive research experience, impressive publication record, and significant contributions to teaching and mentoring in the field of bioinformatics. His leadership roles in editorial and review capacities, along with notable awards and grants, underscore his impact and dedication. To strengthen his application, he could provide more detailed information on his specific bioinformatics contributions and their impact, as well as showcase his community engagement efforts

Juxian Zhao | Computer Science | Best Researcher Award

Dr. Juxian Zhao | Computer Science | Best Researcher Award

PhD candidate, China University of Mining and Technology School of Mechatronic Engineering, China

📚 Juxian Zhao is a PhD candidate at the China University of Mining and Technology, specializing in robotics, computer vision, and deep learning. He focuses on developing innovative technologies for intelligent firefighting equipment and autonomous operations. Currently leading R&D for a key provincial project, Juxian has made significant contributions to the field through his research and innovations.

Profile

Scopus

 

Education

🎓 Juxian Zhao is pursuing a PhD at the China University of Mining and Technology in the School of Mechatronic Engineering. His academic journey has been marked by a strong focus on robotics, computer vision, and deep learning technologies, which he integrates into his research on intelligent firefighting equipment.

Experience

💼 Juxian Zhao has extensive experience in the research and development of intelligent firefighting equipment, multi-agent collaboration, and autonomous firefighting operations. He is currently leading a key provincial-level R&D project and actively collaborating with XCMG Fire Fighting Equipment Co., Ltd., and Xuzhou XCMG Daojin Special Robot Technology Co., Ltd.

Research Interests

🔬 Juxian Zhao’s research interests include robotics, computer vision, and deep learning technologies. He is particularly focused on applying these technologies to intelligent firefighting equipment and autonomous firefighting operations, aiming to enhance efficiency and effectiveness in emergency response scenarios.

Awards

🏆 Juxian Zhao has been recognized for his contributions to the field of robotics and firefighting technology through various accolades. His work on the CG-DALNet model for autonomous firefighting has garnered attention for its innovative approach and significant performance improvements.

Publications

Accurate and Fast Fire Alignment Method Based on a Mono-binocular Vision System

Visual predictive control of fire monitor with time delay model of fire extinguishing jet

An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention

Jihyeon Ryu | Computer Science | Best Researcher Award

Assist Prof Dr. Jihyeon Ryu | Computer Science | Best Researcher Award

Professor, Kwangwoon University, South Korea

👩‍🏫 Jihyeon Ryu is an Assistant Professor at the School of Computer and Information Engineering, Kwangwoon University. She specializes in split learning, convolutional neural networks, and user authentication, contributing significantly to the field of computer science with her extensive research and numerous publications.

Profile

Google Scholar

 

Education

Ph.D. in Software (Integrated Master’s and Doctorate Course) from Sungkyunkwan University (Mar. 2018 – Feb. 2023), advised by Prof. Dongho Won and Prof. Hyoungshick Kim. B.S. in Mathematics and Computer Science and Engineering from Sungkyunkwan University (Mar. 2013 – Feb. 2018). Early Graduation from Sejong Science High School (Mar. 2011 – Feb. 2013).

 

Research Interests:

Split Learning. Convolutional Neural Networks. User Authentication

Awards

Family Company Workshop Lecture, Hoseo University (Feb. 2022). Invited Lecturer, Mental Women’s High School (Nov. 2021). Excellence Prize, Software Department Excellence Research Awards (Feb. 2021). Graduate Merit Scholarship, Sungkyunkwan University (Mar. 2018 – Feb. 2021). SimSan Scholarship, Multiple instances (Mar. 2018 – Sep. 2020). Excellence Award, 국가 암호기술 전문인력 양성과정 (Nov. 2019). Grand Prize, Software Department Excellence Research Awards (Feb. 2019). Samsung Science Scholarship (Mar. 2013 – Feb. 2018)

Publications

Lightweight Hash-Based Authentication Protocol for Smart Grids. Sensors, 2024. Sangjin Kook, Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.

Enhanced Lightweight Medical Sensor Networks Authentication Scheme Based on Blockchain. IEEE ACCESS, 2024. Taewoong Kang, Naryun Woo, Jihyeon Ryu.

Secure and Anonymous Authentication Scheme for Mobile Edge Computing Environments. IEEE Internet of Things Journal, 2024. Hakjun Lee, Jihyeon Ryu, Dongho Won.

Distributed and Federated Authentication Schemes Based on Updatable Smart Contracts. Electronics, 2023. Keunok Kim, Jihyeon Ryu, Hakjun Lee, Youngsook Lee, Dongho Won.

An Improved Lightweight User Authentication Scheme for the Internet of Medical Things. Sensors, 2023. Keunok Kim, Jihyeon Ryu, Youngsook Lee, Dongho Won.