Muhsin Jaleel | Engineering Management | Best Researcher Award

Mr. Muhsin Jaleel | Engineering Management | Best Researcher Award

Nanjing Forestry University | China

Muhsin Jaleel is a dynamic Research Assistant at Nanjing Forestry University, China, specializing in sustainable land and water use systems. With a strong foundation in agricultural engineering and environmental management, he brings hands-on experience in hydroponics, GIS tools, environmental analysis, and climate-resilient agriculture. His work spans interdisciplinary efforts involving environmental impact assessments, water resource management, and sustainable farming technologies. Previously, he contributed to HT Consultant in Pakistan and led an academic thesis on hydroponic greenhouse design. Muhsin has also served as a science educator, combining technical expertise with community engagement through volunteer work and event organization. His dedication to academic and field-based research is evident in his international conference participation, scientific publications, and an impressive array of certifications in climate change, AI in agriculture, and GIS systems. Fluent in multiple languages and equipped with robust data analysis and communication skills, he strives to contribute meaningfully to global sustainable development efforts.

Profile

Googlescholar

Education

Muhsin Jaleel holds a Bachelor of Engineering in Agricultural Engineering from Sindh Agriculture University Tando Jam, where he specialized in irrigation, hydroponics, and environmental sustainability. His final year project focused on the “Design, Installation, and Construction of a Hydroponic Greenhouse System,” equipping him with applied technical knowledge in soilless cultivation. He further enhanced his credentials with a Diploma in Environmental Management from ASEAN Online Education , gaining valuable insights into eco-centric land-use planning and sustainability. Muhsin’s academic journey is supplemented with continuous professional development through online certifications in climate adaptation (UNITAR), geographic information systems (Esri, LinkedIn Learning), and artificial intelligence in agriculture (Udemy). His interdisciplinary education has been both theoretical and applied, combining agricultural science, engineering design, environmental protocols, and technological innovation. This diverse educational background underpins his research ambitions and equips him to address emerging challenges in agriculture, climate change, and sustainable development effectively.

Experience

Muhsin Jaleel is currently a Research Assistant at Nanjing Forestry University, China, where he works on sustainable land and water management systems, environmental impact assessments, and agricultural sustainability. Before this, he served as a Research Assistant at HT Consultant, Pakistan , contributing to a project on “Agricultural Seeds and Mechanization,” focused on ecological balance and long-term environmental sustainability. Earlier, he conducted a detailed Bachelor’s thesis on hydroponic greenhouse systems and interned at the Drainage and Reclamation Institute of Pakistan (DRIP), enhancing his skills in water management and irrigation efficiency. Additionally, Muhsin taught science and worked as an invigilator at Ocean Academy Secondary School, Karachi , where he honed his communication and teaching abilities. His experience is diverse—spanning academia, field research, education, and environmental consulting—making him an asset to cross-disciplinary research in agriculture, climate change, and sustainability.

Awards and Honors

Muhsin Jaleel has been recognized for both academic and extracurricular excellence. He received the Sports Certified Specialist (SCS) designation from the Nanjing International Cultural Exchange Center and was honored with the Best Planting Event Award for organizing a health and environmental initiative at Sindh Agriculture University. Earlier, he earned the Best in Cricket Sport Award, reflecting his active engagement in sports and leadership. Muhsin has also participated in prestigious academic forums, including the Climate Change Chair Meeting at King Saud University, Saudi Arabia, and the International Conference on Agriculture Food and Animal Science. He’s also taken part in national training events such as soil and water conservation workshops. His diverse accolades reflect a balance of academic rigor, environmental stewardship, and leadership capacity, showcasing his ongoing commitment to personal growth, scientific innovation, and community contribution.

Research Focus

Muhsin Jaleel’s research interests center on sustainable agriculture, environmental management, and climate change resilience. At Nanjing Forestry University, his work includes applied research in land and water utilization systems, environmental impact assessments, and sustainable rural development. His expertise spans hydroponic greenhouse design, GIS-based environmental analysis, and ecologically responsible farming techniques. Muhsin is particularly interested in how climate change impacts agriculture in urban and rural settings, as evidenced by his publication on the spatiotemporal analysis of flood impacts in Sindh, Pakistan. He integrates modern technologies—such as AI applications in agriculture and GIS tools—to enhance land use efficiency and mitigate climate risks. His certifications and training reflect a deep commitment to interdisciplinary research that merges environmental science, agricultural engineering, and technological innovation. By combining field data, policy awareness, and remote sensing techniques, his research aims to contribute to sustainable development goals and inform effective, adaptive land management policies globally.

Publications

Research Progress of Automation Ergonomic Risk Assessment in Building Construction: Visual Analysis and Review
Year: 2024

The effect of hot water extract of Linum usitatissimum and Trigonella foenum-graecum on bacteria that isolated from mouth
Year: 2022

The effect of hot aqueous extract of flax seeds and fenugreek seeds against bacteria that isolated from mouth of smoking people
Year: 2022

Conclusion

Muhsin Jaleel is an emerging researcher in sustainable agriculture and environmental systems, combining strong academic credentials, diverse field experience, and cutting-edge technological training to address global challenges in land and water resource management, with a vision to drive meaningful change through interdisciplinary, climate-resilient research.

Mai Anh Bui | Plastic Surgeon in Developing countries | Best Researcher Award

Prof Dr. Mai Anh Bui | Plastic Surgeon in Developing countries | Best Researcher Award

 

Profile

Education

Dr. Mai Anh Bui is a consultant Plastic Surgeon and Vice Chief of Scientific Research Department at Viet Duc University Hospital from Vietnam. She is also Assist. Professor at Hanoi Medical University and University of Medicine and Pharmacy, Vietnam National University. She completed a plastic surgery residency in 2006. Her specialty is to contribute to restoring the patients’ peripheral nerve injury and reconstruction of the patients with craniomaxillofacial surgery and head & neck reconstructions. In particular, she also specializes in facial paralysis with over 200 patients. Her Ph.D. is on the Using Masseteric nerve in Facial Reanimation. She has published over 60 articles in domestic and international journals.She refined her microsurgical skills by visiting several prestigious Institutions: Royal North Shore Hospital, Sydney University, Australia, Asan Hospital, Seoul, Korea, SickKids Hospital, Toronto, Canada, and craniofacial skills in Chang Gung Memorial Hospital, Taiwan.

Work experience

She has successfully completed [X] research projects and is currently working on [Y] ongoing projects. Her contributions to research are reflected in her citation index in reputed databases such as SCI and Scopus. She has been actively involved in [X] consultancy and industry-sponsored projects, demonstrating her expertise in applying research to real-world challenges. Additionally, she has authored [X] books with ISBN numbers and has contributed to intellectual property development with [X] patents published or under process. With [X] research articles published in indexed journals, she has made a significant impact in her field. She also holds editorial positions in [journals/conferences], further showcasing her leadership in scholarly publishing. Throughout her career, she has collaborated with esteemed national and international institutions, contributing to groundbreaking advancements in her research domain.

Publication

  • Outcome of using the spinal accessory nerve for functional muscle innervation in facial paralysis reconstruction: The first two cases in Vietnam and literature review

    Vietnam Journal of Endolaparoscopic Surgey
    2022-10-25 | Journal article | Author
    Part ofISSN: 1859-4506
    CONTRIBUTORS: Mai Anh Bui; Trung Trực Vũ
  • Outcome of repairing posterior interosseous nerve (PIN) injury

    Vietnam Journal of Endolaparoscopic Surgey
    2022-08-15 | Journal article
    Part ofISSN: 1859-4506
    CONTRIBUTORS: Mai Anh Bui; Tran Xuan Thach, Vu Trung Truc
  • Reconstruction of upper extremity defect by using Superficial circumflex iliac artery perforator (SCIP) free flap: 03 cases and literature review

    Vietnam Journal of Endolaparoscopic Surgey
    2022-03-15 | Journal article
    Part of ISSN: 1859-4506

Longqing Cui | Operations research | Best Researcher Award

Dr. Longqing Cui | Operations research | Best Researcher Award

 

Profile

Education

He pursued a Doctorate in Management Science and Engineering at Hefei University of Technology. Additionally, from November 2021 to November 2022, he was a jointly-supervised doctoral student in Operations and Business Analytics at The Ohio State University. Prior to his doctoral studies, he completed a Bachelor’s degree in Mathematics and Applied Mathematics at Hefei University of Technology from September 2013 to June 2017.

Work experience

He has been serving as a Lecturer at Alibaba Business School, Hangzhou Normal University. His research focuses on high-end equipment development and collaborative decision-making in manufacturing. He is the Principal Investigator (PI) for two ongoing projects. The first, funded by the Ministry of Education of the People’s Republic of China under the Youth Fund Project of Humanities and Social Sciences Research (Project No. 24YJC630030), explores collaborative decision-making for high-end equipment development resources in real-time production planning, running from January 2025 to December 2027 with a budget of 80,000 yuan. The second project, supported by the Zhejiang Provincial Natural Science Foundation Committee under the Youth Fund Project (Project No. LQN25G010007), investigates collaborative scheduling for high-end equipment development in distributed manufacturing enterprises within dynamic environments. This project runs from January 2025 to December 2026, with a funding of 60,000 yuan.

Publication

  • 1] Longqing Cui; Xinbao Liu; Shaojun Lu; Zhaoli Jia. A variable neighborhood
    search approach for the resource – constrained multi – project collaborative
    scheduling problem. Applied Soft Computing, 2021, 107:107480. (Journal Article)
    (Q1, First Author)
  • 2] Weijie Wang; Zhehang Xu; Shijia Hua; Longqing Cui; Jianlin Zhang; Fanyuan
    Meng. Threshold – initiated spatial public goods games. Chaos, Solitons & Fractals,
    2024, 184:115003. (Q1, Corresponding Author)
  • Zhehang Xu; Xu Liu; Hainan Wang; Longqing Cui; Xiao – Pu Han; Fanyuan Meng.
    Free – rider or contributor: A dilemma in spatial threshold public goods games.
    Chaos, Solitons & Fractals, 2024, 187:115455. (Q1, Corresponding Author)
  • Lei Chen; Yanpeng Zhu; Jiadong Zhu; Longqing Cui; Zhongyuan Ruan; Michael
    Small; Kim Christensen; Run – Ran Liu; Fanyuan Meng. A simple model of global
    cascades on random hypergraphs. Chaos, Solitons and Fractals, 2025, 193(116081).
    (Q1, Corresponding Author)
  • Che Xu; Yingming Zhu; Peng Zhu; Longqing Cui. Meta – learning – based sample
    discrimination framework for improving dynamic selection of classifiers under
    label noise. Knowledge – Based Systems, 2024, 295:111811. (Q1)