Shah Murtoza Morshed | Climate Change | Best Researcher Award

Mr. Shah Murtoza Morshed | Climate Change | Best Researcher Award

Ahsanullah University of Science and Technology | Bangladesh

Author Profile

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INTRODUCTION

Shah Murtoza Morshed is a distinguished academic and researcher specializing in industrial engineering and machine learning. Currently serving as a Lecturer at Ahsanullah University of Science and Technology (AUST) in Dhaka, Bangladesh, he has made significant contributions to the fields of machine learning, sustainable supply chain management, and decision analysis.

📚 EARLY ACADEMIC PURSUITS

Mr. Morshed completed his Bachelor of Science in Industrial and Production Engineering at AUST, where he graduated with honors, receiving the Dean’s Honor Award in 2022. His academic journey was marked by a strong focus on operations research, supply chain management, and quality control.

🧪 PROFESSIONAL ENDEAVORS

In May 2022, Mr. Morshed commenced his role as a Lecturer in the Department of Mechanical and Production Engineering at AUST. Prior to this, he served as an Adjunct Lecturer at the same institution from February to May 2022. His teaching portfolio includes courses such as Production Planning and Control, Ergonomics and Productivity Engineering, and Industrial Management.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON Climate Change

In May 2022, Mr. Morshed commenced his role as a Lecturer in the Department of Mechanical and Production Engineering at AUST. Prior to this, he served as an Adjunct Lecturer at the same institution from February to May 2022. His teaching portfolio includes courses such as Production Planning and Control, Ergonomics and Productivity Engineering, and Industrial Management.

🌍 IMPACT AND INFLUENCE

Through his research, Mr. Morshed has significantly influenced the integration of machine learning techniques in industrial applications. His studies on lean manufacturing drivers to enhance circular economy performance in the pharmaceutical industry have provided valuable insights into sustainable industrial practices.

📈 ACADEMIC CITATIONS AND PUBLICATIONS

Mr. Morshed has an impressive portfolio of publications, with his work being cited over 80 times. His research papers cover topics such as sustainable supply chain management, decision analysis, and the application of machine learning in industrial settings.

🏅 HONORS & AWARDS

  • Dean’s Honor Award from AUST in 2022.
  • Best Paper Award at the 17th Annual Paper Meet, Mechanical Engineering Division, Institution of Engineers, Bangladesh (IEB), in 2023

🌐 LEGACY AND FUTURE CONTRIBUTIONS

As he continues his career, Mr. Morshed is poised to further influence the fields of industrial engineering and machine learning. His ongoing research and commitment to education are expected to yield significant contributions to sustainable industrial practices and the integration of advanced analytics in engineering.

🌠 FINAL NOTE

Mr. Morshed’s dedication to advancing industrial engineering through innovative research and teaching has established him as a prominent figure in his field. His interdisciplinary approach bridges the gap between traditional industrial practices and modern technological advancements.

📑 NOTABLE PUBLICATIONS

Environmental, Economical and Technological Analysis of MQL-Assisted Machining of Al-Mg-Zr Alloy Using PCD Tool
  • Authors: M. Karim, J.B. Tariq, S.M. Morshed, S.H. Shawon, A. Hasan, C. Prakash, et al.
  • Journal: Sustainability
  • Year: 2021
Barriers to Achieving Sustainability in Pharmaceutical Supply Chains in the Post-COVID-19 Era
  • Authors: S.A. Liza, N.R. Chowdhury, S.K. Paul, M. Morshed, S.M. Morshed, et al.
  • Journal: International Journal of Emerging Markets
  • Year: 2023
A Pythagorean Fuzzy Approach to Evaluate the Challenges to Implementing Circular Economy in the Glass Manufacturing Industry: Implications for Sustainable Development
  • Authors: Z.N. Tushar, S.M. Morshed, A. Ahsan, S. Sarkar, A.B.M.M. Bari, A.R.M.T. Islam
  • Journal: Results in Engineering
  • Year: 2024
Exploring the Challenges to Cope with Ripple Effects in the Perishable Food Supply Chain Considering Recent Disruptions: Implications for Urban Supply Chain Resilience
  • Authors: R. Al Aziz, M.H. Arman, C.L. Karmaker, S.M. Morshed, A.B.M.M. Bari, et al.
  • Journal: Journal of Open Innovation: Technology, Market, and Complexity
  • Year: 2025
Exploring Lean Manufacturing Drivers for Enhancing Circular Economy Performance in the Pharmaceutical Industry: A Bayesian Best–Worst Approach
  • Authors: S. Salman, S.M. Morshed, M.R. Karim, R. Rahman, S. Hasanat, A. Ahsan
  • Journal: International Journal of Industrial Engineering and Operations Management
  • Year: 2024

 

shan gao | genomics | Best Researcher Award

Prof. shan gao | genomics | Best Researcher Award

Nankai university | China

Author Profile

🌟 Shan Gao: Pioneering Insights in Bioinformatics and Omics Research

📚 EARLY ACADEMIC PURSUITS

Shan Gao’s journey in the field of bioinformatics began with a solid academic foundation. Graduating with a Bachelor’s degree in Electronic Sciences and Engineering from the National University of Defense Technology in 2000, Shan transitioned into the biological sciences, earning a Master’s degree from Shanghai University in 2007. His thirst for knowledge and research excellence led him to pursue a Doctorate in Life Sciences at Nankai University, which he completed in 2010. These formative years laid the groundwork for his contributions to cutting-edge research in genomics and bioinformatics.

🧪 PROFESSIONAL ENDEAVORS

Shan Gao’s career is a testament to his dedication and expertise. After completing his doctorate, he engaged in postdoctoral research at globally renowned institutions such as the University of Kansas and Cornell University’s Boyce Thompson Institute, focusing on structural biology and transcriptomics. Since 2014, he has been serving as an Associate Professor at Nankai University, where he mentors the next generation of scientists while advancing bioinformatics research.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON GENOMICS

Shan Gao’s work revolves around analyzing high-throughput omics data, leveraging cutting-edge sequencing technologies like Illumina and PacBio. His research addresses fundamental questions in biology, with applications spanning genomics, transcriptomics, and proteomics. Specializing in cancer biology, viral genomics, and RNA sequencing, Shan has established himself as a thought leader in bioinformatics pipeline development and data quality standards.

🌍 IMPACT AND INFLUENCE

With over 78 academic publications, including 55 indexed in SCI, Shan Gao’s research has had a significant impact on understanding plants, animals, bacteria, viruses, and human diseases like cancer. His innovative approaches have contributed to advancements in RNA biology and genome annotation, influencing research methodologies worldwide.

📈 ACADEMIC CITATIONS AND PUBLICATIONS

Shan Gao’s publications reflect his interdisciplinary expertise. Notable works include studies on PacBio full-length transcriptome analysis, single-cell RNA sequencing, and SARS-CoV-2 transcription mechanisms. His findings have been featured in esteemed journals such as Scientific Reports, RNA Biology, and Cellular Signalling, earning him widespread recognition in the academic community.

🏅 HONORS & AWARDS

Shan Gao’s excellence has been acknowledged through numerous accolades:

  • 2009: Nankai Foundation for Excellent Doctoral Thesis
  • 2010: Outstanding Graduate of Nankai University
  • 2014: Tianjin Young Talents 1000 Plan Award
  • 2020: Supervisor of Excellent Master’s Thesis
  • 2023: Excellent Reviewer for Chinese Master’s Thesis

🌐 LEGACY AND FUTURE CONTRIBUTIONS

Looking forward, Shan Gao’s work is poised to shape the future of bioinformatics and biological sciences. His contributions to sustainable healthcare solutions, precision medicine, and genomics research ensure a lasting legacy of innovation and impact.

🌠 FINAL NOTE

Shan Gao exemplifies the integration of technology and biology, pushing the boundaries of omics research. His unwavering commitment to excellence continues to inspire colleagues and students alike.

📑 NOTABLE PUBLICATIONS 

“Re-analysis of single-cell RNA-seq data reveals the origin and roles of cycling myeloid cells”

  • Authors: Jiawei Zhang, Jingsong Shi, Liangge Wang, Xinjie Liu, Zemin Cao, Cihan Ruan, Guangzhi Ning, Shiqing Feng, Xue Yao, Shan Gao
  • Year: 2024-07-08
  • Journal: Stem Cells

“Discovery of the first Tn630 member and the closest homolog of IS630 from viruses”

  • Authors: Guangyou Duan, Dongsheng Wei, Yutong Guo, Cihan Ruan, Jia Chang, Mingbin Zhou, Jun Gao, He Liu, Xin Li, Shan Gao
  • Year: 2024-01-24

“PacBio full-length transcriptome analysis provides new insights into transcription of chloroplast genomes”

  • Authors: Jinsong Shi, Shuangyong Yan, Wenjing Li, Xiurong Yang, Zhongqiu Cui, Junling Li, Guangsheng Li, Yuejiao Li, Yanping Hu, Shan Gao
  • Journal: RNA Biology
  • Year: 2023-12-31

“Re-analysis of single-cell RNA-seq data provides insights into the roles of cycling myeloid cells in tissue repair”

  • Authors: Jiawei Zhang, Jingsong Shi, Liangge Wang, Xinjie Liu, Zemin Cao, Guangzhi Ning, Shiqing Feng, Shan Gao, Xue Yao
  • Year: 2023-09-19

“The first nonclassical Tc1 transposon discovered in yeast”

  • Authors: Shan Gao, Jia Chang, Dong Mi, Tung On Yau, Chang Liu, Jianlin Cui, Huaijun Xue, Jishou Ruan, Wenjun Bu, Guangyou Duan
  • Year: 2022-08-16

“Single-cell transcriptome analysis reveals mesenchymal stem cells in cavernous hemangioma”

  • Authors: Fulong Ji, Yong Liu, Jinsong Shi, Chunxiang Liu, Siqi Fu, Heng Wang, Bingbing Ren, Dong Mi, Shan Gao, Daqing Sun
  • Year: 2021-09-03

“Precise annotation of Drosophila mitochondrial genomes leads to insights into AT-rich regions”

  • Authors: Guangcai Liang, Jia Chang, Tung On Yau, Xin Li, Bingjun He, Jishou Ruan, Wenjun Bu, Shan Gao
  • Year: 2021-06-07

“Full-length genome sequence of segmented RNA virus from ticks was obtained using small RNA sequencing data”

  • Authors: Xiaofeng Xu, Jinlong Bei, Yibo Xuan, Jiayuan Chen, Defu Chen, Stephen C. Barker, Samuel Kelava, Xiaoai Zhang, Shan Gao, Ze Chen
  • Journal: BMC Genomics
  • Year: 2020-12

“Precise annotation of tick mitochondrial genomes reveals multiple copy number variation of short tandem repeats and one transposon-like element”

  • Authors: Ze Chen, Yibo Xuan, Guangcai Liang, Xiaolong Yang, Zhijun Yu, Stephen C. Barker, Samuel Kelava, Wenjun Bu, Jingze Liu, Shan Gao
  • Journal: BMC Genomics
  • Year: 2020-12