Assoc Prof. Dr. Chunlu Qian | Engineering | Best Researcher Award

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Assoc Prof. Dr. Chunlu Qian | Engineering | Best Researcher Award

Assoc Prof. Dr. Chunlu Qian, Yangzhou University, China

Chunlu Qian is an Associate Professor and Department Chair at the School of Food Science and Engineering, Yangzhou University, China. With a passion for postharvest physiology, he specializes in enhancing fruit quality through innovative preservation techniques. His work not only advances academic knowledge but also contributes significantly to the food industry.

Profile

Scopus

Orcid

Education πŸŽ“

Dr. Qian completed his Bachelor’s degree in Horticulture Science from Henan Agriculture University in 2005. He then earned his Master’s in Vegetable Science from Zhejiang University in 2007, followed by a Ph.D. in Food Science, focusing on postharvest cucumber physiology, in 2013.

Experience πŸ’Ό

Since April 2013, Dr. Qian has served as an Assistant Professor and later as an Associate Professor at Yangzhou University. He has also gained international experience as a Visiting Scientist at Nagoya University, Japan, enhancing his research perspectives and methodologies.

Research Interest πŸ”

Dr. Qian’s research primarily revolves around postharvest physiology of fruits, focusing on methods to maintain fruit quality during storage using physical and chemical treatments. His interests also include studying flavor changes during the growth and preservation processes, which he incorporates into his teaching of various food science courses.

Awards πŸ†

Dr. Qian has been recognized for his contributions to the field with several awards, although specific details on nominations or accolades are not provided in the available information.

Publication Top Notes πŸ“š

Cai et al. (2024) – Study on quality and starch characteristics of powdery and crispy Lotus Roots, Foods.

Qian et al. (2024) – Effects of melatonin on postharvest water bamboo shoots, Food Chemistry: Molecular Sciences.

Zhang et al. (2024) – Role of PbrWRKY62 in scald development of pear fruit, Molecular Horticulture.

Ding et al. (2023) – Flavor characteristics of ten peanut varieties, Foods.

Qian et al. (2023) – Texture and flavor changes of lotus root, Foods.

Prof. Min Sik Lee | Engineering | Best Researcher Award

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Prof. Min Sik Lee | Engineering | Best Researcher Award

Prof. Min Sik Lee, Pusan national university, South Korea

Dr. Lee Min Sik is a prominent researcher in the field of Mechanical Engineering at Pusan National University, specializing in hybrid composite materials and advanced manufacturing techniques. With a focus on both theoretical and experimental studies, he has significantly contributed to the understanding of sheet metal forming processes and material properties.

Profile

Orcid

Education πŸŽ“

Dr. Lee completed his Ph.D. in Mechanical Engineering at Pusan National University in September 2017, following his Master’s degree in the same field in February 2013. He also obtained his Bachelor’s degree from the same institution in February 2011, demonstrating a strong foundation in mechanical engineering from an early stage.

Experience πŸ› οΈ

Since completing his Ph.D., Dr. Lee has engaged in various research projects funded by national and international organizations. His work includes significant contributions to the National Research Laboratory and the Technological Innovation R&D Program, focusing on fuel cell technology and hybrid composite materials.

Research Interests πŸ”¬

Dr. Lee’s research interests encompass hybrid composite materials, sheet metal forming processes (both cold and hot press), and simulations related to sheet metal and composites. He aims to innovate manufacturing techniques that enhance material performance and process efficiency.

Awards πŸ†

Dr. Lee has received several prestigious awards, including:

Future Researcher Award 2017, Busan, Korea (Dec 2017)

BK21 Plus Best Researcher Award 2016 (Mar 2017)

A M Strickland Prize (Best Paper), awarded by the U.K. Institution of Mechanical Engineers (Jun 2016)

Publication Top Notes πŸ“š

Comparison of FE Simulation and Experiment on Tensile Test of TWB-HPF22MnB5 Steel, 2024.

Experimental and Simulation Studies of Erichsen Cupping Test on Aluminum(7075) Sheet Using Damage Theory, Vol. 20(10), pp. 698-709, 2024.

Assessment of process-induced cracks in hot-working operations using crack susceptibility index based on plastic instability criteria, Vol. 29(10), 2024.

Avishek Choudhury | Engineering | Best Researcher Award

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Assist Prof Dr. Avishek Choudhury | Engineering | Best Researcher Award 

Assistant Professor at West Virginia University, United States

Dr. Avishek Choudhury is a tenure-track Assistant Professor in the Department of Industrial and Management Systems Engineering at West Virginia University, where he focuses on human factors, human-systems interaction, occupational safety, and medical informatics. He earned his Ph.D. from Stevens Institute of Technology, with a dissertation on an AI-based blood utilization calculator. His research aims to improve healthcare outcomes through innovative technology, notably in maternal health and mental health interventions. Dr. Choudhury has received numerous awards, including the Human Factors and Ergonomics Society’s Best Article Award for his work on AI in healthcare. With an impressive publication record, including over 40 peer-reviewed articles and several active research grants, he also contributes to the academic community as an editorial board member and reviewer for various journals.

Publication Profile

Strengths for the Award:

  1. Diverse Research Areas: Avishek Choudhury’s research spans crucial domains such as human factors, occupational safety, medical informatics, and healthcare AI applications. His ability to integrate these areas, particularly focusing on AI’s role in healthcare decision-making, human-system interaction, and mental health, demonstrates a high level of expertise.
  2. Innovative Projects: His involvement in impactful projects like Mobile for Mothers, which aims to reduce maternal mortality in underprivileged societies using AI, highlights his commitment to solving global healthcare challenges. Additionally, his work on mobile health interventions for mental health issues among students showcases his alignment with contemporary healthcare needs.
  3. Strong Publication Record: With 49 peer-reviewed journal articles and a high h-index of 20, Dr. Choudhury demonstrates a robust academic presence. His work is frequently published in leading journals, such as JMIR, PLOS One, and Scientific Reports. Several of his papers focus on cutting-edge issues, including the integration of AI into clinical settings and the mental health impact of cancer care, solidifying his reputation in research communities.
  4. Recognition and Awards: His numerous awards, including the Human Factors and Ergonomics Society Best Article Award and the Paul Kaplan Award for excellence in research, underscore the quality and impact of his work. These accolades highlight his ability to generate meaningful research with real-world applications.
  5. Leadership in Editorial Roles: His involvement as an editorial board member and associate editor for prominent journals, such as JMIR Human Factors and Frontiers in Digital Health, reflects his standing as a thought leader. These positions indicate his influence on the future direction of research in his field.
  6. Grants and Funding: Choudhury has successfully secured significant funding from prestigious organizations, including the EPA and internal grants from WVU. His ability to lead projects that attract funding suggests strong leadership skills and the potential for further groundbreaking research.

Areas for Improvement:

  1. Expanded International Collaborations: Although Dr. Choudhury’s research focuses on global health challenges, particularly in LMICs, more international collaborations with institutions beyond the U.S. could further enhance his research’s global impact. Partnering with diverse academic and healthcare organizations in these regions could bolster the implementation of his findings.
  2. Public Engagement and Outreach: While he has presented at prestigious conferences and workshops, increasing his public-facing engagement (e.g., outreach through public lectures, media appearances, or policy advising) could extend the societal impact of his research, particularly in policy formulation for AI in healthcare.
  3. Interdisciplinary Integration: Although his research is interdisciplinary, expanding collaboration with professionals in fields such as behavioral science or sociology might enhance the human-centered focus of his work, especially in areas like mental health interventions and AI ethics.

Education: 

Dr. Avishek Choudhury’s educational background is impressive and diverse. He obtained his Ph.D. in Systems Engineering with a focus on Human Factors from Stevens Institute of Technology in May 2022, where his dissertation explored the development of an Artificial Intelligence-Based Blood Utilization Calculator through a mixed-method approach. Prior to that, he earned an M.Sc. in Industrial Engineering from Texas Tech University in 2017, building a solid foundation in engineering principles. His academic journey began with a B.Tech. in Automobile Engineering from West Bengal State University, where he graduated in 2014. This educational trajectory demonstrates his commitment to advancing knowledge in industrial and management systems engineering, particularly in the areas of human factors and healthcare.

Experience:

Dr. Avishek Choudhury is a Tenure Track Assistant Professor in Industrial and Management Systems Engineering at West Virginia University, specializing in Human Factors, Human-Systems Interaction, Occupational Safety, and Medical Informatics. With a Ph.D. from Stevens Institute of Technology, he has a strong research background as a former Research Assistant and Teaching Assistant. His diverse experiences include a Process Improvement Internship at UnityPoint Health and significant research contributions through multiple active grants and projects, particularly focusing on maternal healthcare and the application of AI in healthcare settings. Dr. Choudhury’s commitment to advancing healthcare technology is evidenced by his numerous peer-reviewed publications, editorial roles, and academic awards, which reflect his dedication to addressing critical issues in healthcare through innovative research and interdisciplinary collaboration.

Research Focus:

Dr. Avishek Choudhury’s research focuses on the intersection of human factors, human-systems interaction, and occupational safety within the healthcare sector. His work emphasizes improving the usability and efficacy of healthcare technologies, particularly through the integration of artificial intelligence (AI). He has led innovative projects, including the development of intelligent maternal healthcare systems aimed at reducing preventable maternal mortality in low- and middle-income countries and investigating AI applications in clinical decision-making to enhance clinicians’ performance and cognitive workload. Dr. Choudhury’s studies also address mental health issues, exploring the feasibility of mobile health technologies in suicide prevention and the early identification of depression and anxiety among students. Through a combination of qualitative and quantitative methods, he seeks to identify critical determinants of health outcomes and foster patient-centered care by enhancing the interaction between healthcare professionals and technology. His commitment to advancing healthcare systems is evident in his numerous publications and active involvement in interdisciplinary research initiatives.

Awards and Honors:

Avishek Choudhury, Ph.D., has received several prestigious awards and honors throughout his academic and professional career. Notably, he was recognized in 2024 with the Human Factors and Ergonomics Society’s Best Article Award for his outstanding article titled β€œImpact of Accountability, Training, and Human Factors on the Use of Artificial Intelligence in Healthcare.” This article was deemed the best in the 2023 volume of Human Factors and Ergonomics in Healthcare. In 2022, he was the recipient of the Paul Kaplan Award at Stevens Institute of Technology, which honors exemplary academic performance and exceptional promise, awarded annually to one Ph.D. candidate in the university. Choudhury also received the Outstanding Dissertation Award in 2022 for his distinguished research efforts. Additionally, he was awarded the Stevens Excellence Doctoral Fellowship and the Exceptional Achievement Award in 2021. His accomplishments also include the Best Student Paper Award in 2021 and the Fabrycky Blanchard Award for excellence in Systems Engineering research. Throughout his educational journey, he has also received several scholarships and fellowships, underscoring his commitment to advancing research in human factors and healthcare applications.

Publication Top Notes:

  • Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals
    • Authors: Choudhury, A., Chaudhry, Z.
    • Year: 2024
    • Citation: Journal of Medical Internet Research, 26(1), e56764.
  • Erratum: Acceptance, initial trust formation, and human biases in artificial intelligence: focus on clinicians
    • Authors: Choudhury, A., Elkefi, S.
    • Year: 2024
    • Citation: Frontiers in Digital Health, 6, 1334266.
  • Editorial: Mobile health interventions to address maternal health: ideas, concepts, and interventions
    • Authors: Choudhury, A., Nimbarte, A.
    • Year: 2024
    • Citation: Frontiers in Digital Health, 6, 1378416.
  • Exploring the determinants influencing suicidal ideation and depression in gastrointestinal cancer patients
    • Authors: Choudhury, A., Shahsavar, Y.
    • Year: 2023
    • Citation: Scientific Reports, 13(1), 18236.
  • Exploring Perceptions and Needs of Mobile Health Interventions for Nutrition, Anemia, and Preeclampsia among Pregnant Women in Underprivileged Indian Communities: A Cross-Sectional Survey
    • Authors: Choudhury, A., Shahsavar, Y., Sarkar, K., Choudhury, M.M., Nimbarte, A.D.
    • Year: 2023
    • Citation: Nutrients, 15(17), 3699

Conclusion:

Dr. Avishek Choudhury is a strong candidate for the Best Researcher Award, given his innovative and impactful contributions to human factors, healthcare AI, and medical informatics. His diverse research projects, commitment to global health challenges, and editorial leadership position him as a frontrunner in his field. Addressing minor areas for improvementβ€”such as expanding international collaborations and public outreachβ€”would further amplify his influence and reach. Overall, his track record makes him highly suitable for recognition as a leading researcher.

Archana Yadav l Engineering l Women Researcher Award

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Dr. Archana Yadav l Engineering l Women Researcher Award

Assistant Professor at Integral University Lucknow, India

Publication Profile

scopus

Strengths for the Award

  1. Extensive Teaching and Research Experience: With over 12 years in academia, Dr. Yadav has a solid foundation in teaching and mentoring students in various engineering subjects, which enhances her role as an educator.
  2. Significant Contributions to Research: Her doctoral research on surface plasmonic resonance sensors for biomedical applications is both innovative and relevant, especially in healthcare. The application of her work in developing wearable devices for continuous glucose monitoring shows a practical approach to her research.
  3. Active in Academic Service: Dr. Yadav has taken on numerous leadership roles within her department, including coordinator positions for examinations, curriculum design, and departmental committees. This indicates her commitment to improving academic standards and contributing to institutional growth.
  4. Strong Publication Record: With five high-impact publications and a patent, Dr. Yadav has made significant contributions to the field, showcasing her capability to conduct meaningful research that advances knowledge.
  5. Reviewer and Editorial Roles: Her involvement as a reviewer for multiple journals and conferences highlights her expertise and respect within the academic community, as well as her commitment to advancing research in her field.
  6. Innovative Teaching Methods: By creating e-learning materials and engaging students through practical workshops, she demonstrates a commitment to educational innovation and technology integration.

Areas for Improvement

  1. Broaden Research Collaboration: While Dr. Yadav has a strong individual research background, collaborating with other researchers or institutions could lead to more interdisciplinary projects and broaden the impact of her work.
  2. Increase Visibility in Conferences: Although she has presented at some international conferences, attending more such events could enhance her networking and provide greater exposure for her research.
  3. Expand Research Interests: Exploring additional areas within biosensors or healthcare applications could diversify her research portfolio and attract more funding opportunities.
  4. Mentorship and Guidance: While she has successfully guided several students, formalizing a mentorship program could further enhance the development of her students and the overall academic environment.
  5. Public Engagement: Increasing outreach efforts, such as community workshops or public lectures, could help disseminate her research findings more widely and engage with non-academic audiences.

Education

Dr. Archana Yadav holds a Ph.D. in Analysis and Design of Surface Plasmonic Resonance Sensors for Biomedical Applications from Amity University, where she conducted significant research utilizing COMSOL and MATLAB for simulating sensor designs. She also earned her M.Tech. in Digital Communication from B.I.E.T. Jhansi, achieving a first division with honors, and completed her B.Tech. in Electronics & Instrumentation Engineering from I.E.T. Lucknow with a commendable score. Her academic journey includes notable dissertation projects focused on sensor technology, emphasizing her strong foundation in engineering and commitment to advancing research in optical biosensors.

Experience

Dr. Archana Yadav has over 12 years of experience in teaching and research, currently serving as an Assistant Professor at Integral University, Lucknow. Her roles include departmental examination coordination, course design for new programs, and guidance for undergraduate and postgraduate projects. Dr. Yadav has actively contributed to institutional growth through various leadership positions, including serving on multiple committees related to accreditation and curriculum design. She has a strong research focus on optical biosensors for healthcare applications, specifically non-invasive glucose monitoring. Her scholarly work includes five high-impact publications and a patent, reflecting her commitment to advancing knowledge in her field. Additionally, she engages in academic service as a reviewer for several prestigious journals, showcasing her expertise and respect in the academic community.

Research Focus

Dr. Archana Yadav’s research focuses on the modeling and simulation of optical biosensors, particularly for healthcare applications. Her work primarily involves the non-invasive detection of glucose levels, utilizing advanced optical techniques such as surface plasmonic resonance. By investigating various nanomaterials and optimizing sensor designs, she aims to enhance sensitivity and accuracy in glucose monitoring. Her research holds promise for the development of wearable devices that can continuously monitor glucose levels, contributing significantly to biomedical applications and potentially improving patient care in diabetes management. Through her innovative approach, Dr. Yadav is advancing the field of biosensors with practical implications for health monitoring.

Awards and Honours

Dr. Archana Yadav has garnered recognition for her contributions to academia and research, evidenced by her involvement in various prestigious roles and accolades. She serves as a reviewer for numerous high-impact journals, including the IEEE Sensors Journal and Microchemical Journal, showcasing her expertise and respect within the scientific community. Additionally, she is an Editorial Board Member for several academic journals, including the Journal of Photonics Materials and Technology. Dr. Yadav has also received commendations for her innovative teaching methods and contributions to course development at Integral University. Her doctoral work has led to multiple publications in high-impact journals and a patent, reflecting her significant contributions to the field of biosensors. Overall, her extensive involvement in academic service and commitment to research excellence underline her distinguished career.

Publication Top Notes

  • Bimetal Thin Film, Semiconductors, and 2D Nanomaterials in SPR Biosensors: An Approach to Enhanced Urine Glucose Sensing
    • Authors: Kumar, S., Yadav, A., Malomed, B.A.
    • Year: 2024
    • Citations: 6
  • Design and Simulation of SPR Sensors by Employing Silicon and Silicon-Nitride With Mono and Bimetal Layers for Sensitivity Enhancement
    • Authors: Kumar, S., Yadav, A., Kumar, S., Malomed, B.A.
    • Year: 2024
    • Citations: 7
  • Improved Surface Plasmon Effect in Ag-based SPR Biosensor with Graphene and WS2: An Approach Towards Low Cost Urine-Glucose Detection
    • Authors: Yadav, A., Mishra, M., Tripathy, S.K., Singh, O.P., Sharan, P.
    • Year: 2023
    • Citations: 25
  • Highly Sensitive Bimetallic-Metal Nitride SPR Biosensor for Urine Glucose Detection
    • Authors: Yadav, A., Kumar, A., Sharan, P., Mishra, M.
    • Year: 2023
    • Citations: 54
  • Effect of 2-D nanomaterials on sensitivity of plasmonic biosensor for efficient urine glucose detection
    • Authors: Yadav, A., Kumar, S., Kumar, A., Sharan, P.
    • Year: 2023
    • Citations: 33

Conclusion

Dr. Archana Yadav exemplifies the qualities of a deserving candidate for the Best Researcher Award. Her robust academic and research contributions, commitment to teaching, and active engagement in academic service demonstrate her dedication to the field of engineering and education. With a few strategic improvements, particularly in collaboration and outreach, she could further amplify her impact in academia and beyond. Recognizing her with this award would not only honor her achievements but also encourage her continued contributions to research and education.

Liheng Wu | Engineering | Best Paper Award

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Ms. Liheng Wu | Engineering | Best Paper Award

postdoc researcher, Southeast University, China

Liheng Wu is a dedicated researcher from China, specializing in kinematics, dynamics, compliant mechanisms, and robotics. Currently serving as a postdoctoral researcher in Civil Engineering at Southeast University, he has a strong foundation in mechanical engineering, holding a Ph.D. from Tianjin University. Liheng is passionate about innovative engineering solutions, particularly in tensegrity structures and metamaterials. πŸŒπŸ”§

Publication Profile

Scopus

Strengths for the Award

  1. Diverse Research Areas: Liheng’s expertise spans kinematics, dynamics, compliant mechanisms, robotics, and metamaterials, showcasing a versatile skill set.
  2. Innovative Contributions: His published works demonstrate significant advancements, such as: The development of a matrix method for linkages. Novel tensegrity structures and their stability analyses, indicating his ability to push the boundaries of current research.
  3. High-Quality Publications: Liheng has published in reputable journals and conferences, which speaks to the quality and impact of his research. His papers cover both theoretical advancements and practical applications, enhancing their relevance.
  4. Research Highlights: His contributions to higher-order curvature analysis, new mechanisms, and solitary waves in transmission networks illustrate his ability to tackle complex problems in mechanical engineering.

Areas for Improvement

  1. Broader Collaboration: While Liheng has worked with notable co-authors, expanding his collaboration network could enhance the interdisciplinary nature of his work, potentially attracting diverse perspectives and ideas.
  2. Application Focus: Emphasizing real-world applications or case studies in his future research could improve the practical impact of his findings and make them more accessible to industry stakeholders.
  3. Presentation Skills: Engaging more in public speaking or presentations at conferences may enhance his visibility in the research community and foster connections that can lead to future collaborations.

Education

Liheng completed his Ph.D. in Mechanical Engineering at Tianjin University in 2020, following his M.S. from Hebei University of Technology in 2013 and a B. Eng. from Chongqing Business and Technology University in 2010. His academic journey reflects a robust commitment to advancing mechanical engineering principles. πŸŽ“πŸ“š

Experience

Liheng is currently a postdoctoral researcher at Southeast University, where he applies his expertise in mechanics and robotics to various engineering challenges. His previous academic roles have equipped him with substantial knowledge and skills in both theoretical and practical aspects of mechanical systems. πŸ› οΈπŸ’Ό

Research Focus

His research interests include kinematics, dynamics, compliant mechanisms, tensegrity structures, morphing wings, and soliton behavior in metamaterials. Liheng is particularly focused on the development of novel mechanical designs that enhance performance and functionality in engineering applications. πŸ”βœ¨

Awards and Honours

Liheng has received recognition for his innovative contributions to mechanical engineering, including awards for his published research and presentations at international conferences. His work has garnered attention for its practical implications in advanced engineering fields. πŸ†πŸŒŸ

Publication Top Notes

A matrix method to determine infinitesimally mobile linkages with only first-order infinitesimal mobility (2020, Mechanisms and Machine Theory)

A novel tensegrity structure derived by the linkage-truss transformation and prestress-stability analysis using screw theory (2020, Journal of Mechanical Design, Transactions of the ASME)

Matrix Analysis of Second-Order Kinematic Constraints of Single-Loop Linkages with Screw Coordinates (2018, Proceedings of the ASME International Design Engineering Technical Conferences)

Analyzing Higher-Order Curvature of Four-Bar Linkages with Derivatives of Screws (2024, Machines)

Generalized prismatic tensegrity derived by dihedral symmetric lines (2024, International Journal of Solids and Structures, accepted)

Conclusion

Liheng Wu’s impressive academic background and innovative research make him a strong candidate for the Research for Best Paper Award. His contributions to the fields of kinematics and tensegrity structures are particularly noteworthy. By addressing areas for improvement, such as enhancing collaboration and emphasizing practical applications, he can further elevate his impact in the engineering community.