Zicheng Huang – Imaging through scattering media – Best Researcher Award

Zicheng Huang - Imaging through scattering media - Best Researcher Award

Shanghai Jiaotong University - China

AUTHOR PROFILR

Scopus

ORCID

EARLY ACADEMIC PURSUITS:

Zicheng Huang embarked on his academic journey in 2016, earning a bachelor's degree from the University of Electronic Science and Technology of China. This laid the groundwork for his Ph.D. pursuit at Shanghai Jiao Tong University, where he delved into Computational Imaging and Scattering Imaging, exhibiting a keen interest in cutting-edge optical technologies.

PROFESSIONAL ENDEAVORS:

Currently a Ph.D. student at Shanghai Jiao Tong University, Zicheng's professional trajectory showcases a transition from the University of Electronic Science and Technology of China to pursuing a Ph.D. at Shanghai Jiao Tong University. This transition signifies a commitment to advancing his expertise in computational and scattering imaging.

CONTRIBUTIONS AND RESEARCH FOCUS:

Zicheng Huang's research focus is in Computational Imaging, Scattering Imaging, and Optical Neural Networks. His endeavors concentrate on addressing challenges in deep learning methods, particularly in imaging through scattering media. Notably, he strives to mitigate computational costs and power consumption challenges associated with current deep learning techniques, emphasizing the modeling of scattered light fields.

IMPACT AND INFLUENCE:

Zicheng's impact is evident through his pioneering research in optronic convolutional neural networks. These innovations significantly contribute to imaging through scattering media, reducing power consumption by over 70% and computational costs by more than 98.5%, surpassing current state-of-the-art methods. His publications in reputable journals, including Optics Express and Optics and Lasers in Engineering, underscore the influence of his work in the scientific community.

ACADEMIC CITES:

Zicheng Huang's research findings are well-recognized in the academic community, as evidenced by his publications in esteemed journals. His work, including "OP-FCNN: an optronic fully convolutional neural network for imaging through scattering media," has been acknowledged in journals with notable impact factors, such as Optics Express (JCR Q2).

LEGACY AND FUTURE CONTRIBUTIONS:

As a young researcher, Zicheng Huang's legacy is poised to revolve around advancements in opto-electronic deep learning. His innovative approaches to address challenges in artificial neural networks signal a promising future in the field. His commitment to low-power consumption and efficient computational methods positions him as a key contributor to the intersection of optics and neural networks.

NOTABLE PUBLICATION

Prashant Nagapurkar – Carbon Capture – Best Researcher Award

Prashant Nagapurkar - Carbon Capture - Best Researcher Award

Oak Ridge National Laborator - United States

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS:

Prashant Nagapurkar's academic journey is distinguished by a strong foundation in chemical engineering. He earned a Bachelor's in Chemical Engineering (B.E.) from the University of Pune, India, followed by a Master's and a Ph.D. in Chemical Engineering from the Missouri University of Science and Technology. His academic achievements include a notable GPA of 3.58/4.0 for his Ph.D.

PROFESSIONAL ENDEAVORS:

Prashant's professional trajectory showcases a blend of academic research and industry experience. His postgraduate internship at Shell Oil Company in Houston, TX, provided hands-on experience in materials and corrosion, contributing to deepwater oil production systems. Following this, he transitioned to research roles at Oak Ridge National Laboratory, engaging in techno-economic analyses and environmental life cycle assessments (LCA) of various processes.

CONTRIBUTIONS AND RESEARCH FOCUS:

Prashant's contributions extend to the realms of Techno-Economic Optimization and Environmental Life Cycle Assessment (LCA) of chemical and manufacturing processes. Noteworthy projects include LCA of integrated chip manufacturing processes, techno-economic analyses of coal to carbon fiber processes, and the optimization of microgrids for developing countries in Africa and Asia. His research employs advanced techniques such as Simulated Annealing, Genetic Algorithm, and Artificial Neural Networks.

IMPACT AND INFLUENCE:

Prashant's impact is evident through his work at Oak Ridge National Laboratory, where he conducted analyses to determine the economic competitiveness of the U.S. in comparison to other countries. His techno-economic analyses and environmental LCAs contribute valuable insights, especially in areas like coal to carbon fiber processes. These assessments have implications for both economic feasibility and environmental sustainability.

ACADEMIC CITES:

Prashant's research has garnered recognition in peer-reviewed publications. Notable publications include articles in Elsevier Journal of Sustainable Computing, ASTM International's Smart and Sustainable Manufacturing Systems, and Elsevier's Energy Conversion and Management Journal. His contributions to journals with substantial impact factors underscore the significance of his work in the academic community.

LEGACY AND FUTURE CONTRIBUTIONS:

As a researcher and postdoctoral associate, Prashant's work lays the groundwork for future advancements in sustainable manufacturing and energy systems. His expertise in Techno-Economic Optimization and Environmental LCA positions him as a key contributor to the evolving landscape of chemical engineering. The potential impact of his work on microgrid optimization and manufacturing processes indicates a promising legacy and continued contributions to the field.

NOTABLE PUBLICATIONS

Techno-economic and life cycle analyses for a supercritical biodiesel production process from waste cooking oil for a plant located in the Midwest United States. 2023 (1)
Economic and embodied energy analysis of integrated circuit manufacturing processes  2022 (3)
Advances in Energy Hybridization for Resilient Supply: A Sustainable Approach to the Growing World Demand  2022 (5)
Leveraging Flexible Smart Manufacturing to Accelerate Industrial Supply Chain Recovery.  2020 (5)
Techno-economic optimization and environmental Life Cycle Assessment (LCA) of microgrids located in the US using genetic algorithm.  2019 (66)

Keerthana Kumareswaran – green infrastructure – Best Researcher Award

Keerthana Kumareswaran - green infrastructure - Best Researcher Award

University of Ruhuna - United States

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS:

Keerthana Kumareswaran's academic journey has been marked by notable achievements and recognition. Graduating with a Bachelor of Science (Honors) in Green Technology from the University of Ruhuna in Sri Lanka, she earned a First Class with an impressive OGPA of 3.95 out of 4.00, securing the top position in her batch. Her commitment to academic excellence was further demonstrated through distinctions such as the Vice Chancellor's List award and Dean's List awards for overall performance.

PROFESSIONAL ENDEAVORS:

Keerthana's professional journey showcases a progression from an internship at Glide (Pvt) Limited and the Commercial Bank of Ceylon PLC in Sri Lanka to significant roles as Assistant Lecturer and later, Lecturer at the University of Ruhuna. Her academic prowess and teaching roles underline a commitment to both research and education.

CONTRIBUTIONS AND RESEARCH FOCUS:

With a focus on Green Technologies, Keerthana has actively contributed to the academic community through her research and publications. Notable works include research on "Green Infrastructure and Urban Climate Resilience," "A Comparison of Environmental Performance of Electronic and Bound-Thesis Using Life Cycle Assessment," and "Energy poverty, occupant comfort, and wellbeing in internally displaced people’s residences in Sri Lanka." These contributions reflect her dedication to sustainable practices, environmental design, and the well-being of displaced populations.

IMPACT AND INFLUENCE:

Keerthana's impact extends beyond academic circles to practical applications in addressing environmental challenges. Her research on occupant comfort and energy poverty in internally displaced people's residences holds the potential to influence policies and practices aimed at improving living conditions for vulnerable populations. The awards she received, including the P.E.O International Peace Scholarship and the Fulbright Foreign Student Program, further underscore the recognition of her work's impact.

ACADEMIC CITES:

Keerthana's research has gained acknowledgment in academic publications and conferences, evident from citations in reputed journals and presentations at conferences such as the International Symposium on Agriculture & Environment. Notable works include her contributions to journals like "Journal of Cleaner Production" and "Energy and Buildings," showcasing the relevance and recognition of her research within scholarly contexts.

LEGACY AND FUTURE CONTRIBUTIONS:

As a LEED Green Associate and a Green Building Associate Professional, Keerthana's commitment to sustainable practices is evident. Her future contributions are poised to further advance the field of Green Technologies, with potential impacts on urban climate resilience, sustainable resource management, and energy-efficient design. The roles she holds, such as being a member of Lions Club International and executive committee member of the Green Technology Alumni Association, indicate her ongoing commitment to making a positive impact.

NOTABLE PUBLICATION

Systematic review on ensuring the global food security and covid-19 pandemic resilient food systems.  2022 (7)

Energy poverty, occupant comfort, and wellbeing in internally displaced people’s residences in Sri Lanka.  2021 (13)

Joseph William Kocan – surgical implants – Best Researcher Award

Joseph William Kocan - surgical implants - Best Researcher Award

University at Buffalo - United States

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS:

Joseph William Kocan, M.D., embarked on his academic journey at the University of Virginia School of Medicine, earning an MD degree from August 2016 to May 2020. Prior to this, he completed his undergraduate studies at Boston College, graduating Summa Cum Laude with a B.S. in Biology in May 2016.

Currently enrolled in the University at Buffalo Jacob’s School of Medicine Orthopaedic Surgery Residency Program since June 2020, Joseph is dedicated to advancing his medical knowledge and skills.

PROFESSIONAL ENDEAVORS:

As a Resident Physician in the University at Buffalo Jacob’s School of Medicine Orthopaedic Surgery Residency Program, Joseph is actively engaged in honing his expertise in orthopaedic surgery. His commitment is underscored by various leadership roles and memberships in prestigious medical societies.

CONTRIBUTIONS AND RESEARCH FOCUS:

Joseph's research activities demonstrate a commitment to advancing orthopaedic knowledge. As a Resident Researcher at the University at Buffalo Division of Orthopaedic Sports Medicine, he is involved in cutting-edge research that contributes to the field's understanding and practices.

IMPACT AND INFLUENCE:

Joseph's impact extends beyond clinical work. Notably, he serves as the American Academy of Orthopaedic Surgeons Resident Assembly Education Committee Chair and is part of the American Academy of Orthopaedic Surgeons Resident Assembly Executive Committee. These leadership roles highlight his influence in shaping education and policy within his professional community.

ACADEMIC CITES:

Joseph's contributions to orthopaedic literature are evident through various publications and pending publications. His research on topics such as humeral implants, ankle fractures, and meniscus root tears demonstrates a commitment to advancing medical knowledge and improving patient outcomes.

LEGACY AND FUTURE CONTRIBUTIONS:

Joseph's leadership roles within professional organizations and committees position him to contribute significantly to the future of orthopaedic surgery. His dedication to education, innovation, and research suggests a legacy of positive impact and continuous contributions to the field.

NOTABLE PUBLICATION

Ruifeng Shi – Transportation Energy System – Best Researcher Award

Ruifeng Shi - Transportation Energy System - Best Researcher Award

North China Electric Power University - China

AUTHOR PROFILE

ORCID

EARLY ACADEMIC PURSUITS:

Ruifeng Shi commenced his academic journey at Beijing University of Aeronautics and Astronautics (BUAA), China. He earned a Ph.D. in System Engineering from September 2002 to January 2006. His doctoral project, "Hierarchical Production Planning Modeling and Its Optimization with Modern Heuristic Algorithms," showcased his early commitment to advancing engineering methodologies.

Following this, he pursued a Master's in Aircraft Design at BUAA from September 1999 to March 2002, where his research focused on "Modeling and Performance Evaluation of Aircraft Conceptual Design." This was preceded by a Bachelor's in Aircraft Design from September 1995 to July 1999.

PROFESSIONAL ENDEAVORS:

Since April 2008, Ruifeng Shi has been a Professor at North China Electric Power University (NCEPU). His teaching spans courses such as "Introduction to System Engineering" for undergraduates and "Theory on System Decision Making Analysis" for Master's students. His significant contributions include research in Self-Contained Transportation Energy System Planning and Optimal Scheduling, and Electric Vehicle Charging/V2G Discharging Infrastructure Planning.

He enriched his international experience as a Visiting Scholar at Baylor University, USA, from August 2014 to August 2015. During this period, his research focused on multiple objective optimization in Electric Vehicle charging station planning with SPEA-II and the study of V2G-based Residential Microgrid with Uncertain Wind Power and Electric Vehicles.

Additionally, he served as the Project Manager of Communication Department for the Ministry of Science and Technology of the People's Republic of China from September 2011 to April 2012, contributing to the management of 863 program projects.

CONTRIBUTIONS AND RESEARCH FOCUS:

Ruifeng Shi's research portfolio encompasses diverse areas, including Self-Contained Transportation Energy Systems, Electric Vehicle Infrastructure Planning, and Optimal Scheduling. His notable contributions include the development of a Multi-objective Escalating Evolutionary Algorithm and its application to Production Scheduling.

IMPACT AND INFLUENCE:

His impact is evident in numerous research projects where he served as a Project Leader, addressing critical issues such as Green Electricity Trading, Electric Vehicle V2G Operation System, and "Green Self-sufficient" Projects on Sichuan Freeways. His leadership role in these projects underscores his influence in addressing real-world challenges.

ACADEMIC CITES:

Ruifeng Shi's work is disseminated through various projects and publications, contributing significantly to academic discourse. The research on Multi-objective Escalating Evolutionary Algorithm has likely garnered attention and citations in the academic community.

LEGACY AND FUTURE CONTRIBUTIONS:

As a Project Leader in a multitude of research initiatives, Ruifeng Shi continues to shape the landscape of transportation energy systems and infrastructure planning. His leadership in projects related to Clean Energy, Vehicle Grid Flexible Control, and Collaborative Planning further establishes his legacy in sustainable energy solutions. The diverse range of projects highlights his commitment to addressing the complex challenges of our time.

NOTABLE PUBLICATION

Annotated survey and perspectives on rail transport energy system RAMS evaluation technology.  

Mohamed G. B. Atia – Soft Robotics – Best Researcher Award

Mohamed G. B. Atia - Soft Robotics - Best Researcher Award

University of Nottingham - United Kingdom

AUTHOR PROFILE

ORCID
Scopus

EARLY ACADEMIC PURSUITS:

Mohamed G. B. Atia initiated his academic journey with a Bachelor's degree in Mechatronics Engineering from Assiut University, Egypt, where he achieved First Class equivalence (86.44%) in 2016. His graduation project, "Intelligent Assistive Limb Robot," laid the foundation for his interest in robotics and intelligent systems.

PROFESSIONAL ENDEAVORS:

Embarking on a multifaceted professional journey, Atia has accumulated valuable experience across various roles. Notable positions include his current role as a Research Fellow at the University of Nottingham in the Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology since November 2022. Prior to this, he served as a PhD Researcher in the same center from October 2019 to October 2022. His contributions extend to roles such as a Research Assistant at Assiut University, a Teaching Assistant at multiple institutions in Egypt, and a Maintenance Engineer at High Fitness Company.

CONTRIBUTIONS AND RESEARCH FOCUS:

Atia's doctoral pursuit in Manufacturing Engineering at Rolls-Royce UTC, University of Nottingham, from 2019 to 2023, is highlighted by his thesis on "Reconfigurable Soft Robots by Building Blocks." Under the supervision of Dr. Abdelkhalick Mohammad, Dr. Andres Gameros, and Prof. Dragos Axinte, his research has delved into innovative concepts, analytical modeling, and control systems for modular soft robots.

IMPACT AND INFLUENCE:

Atia's impact is evident in his involvement in the REINSTATE project, a UKRI funded initiative with Rolls-Royce plc. Here, he contributes to the development of control methods for robots in additive manufacturing, the creation of soft crawling mobile robots, and the design of soft robotic tools for non-destructive testing, showcasing practical applications of his research.

ACADEMIC CITES:

His contributions to the field are reflected in publications, including articles in journals such as Advanced Science and IEEE Access, as well as presentations at conferences. The work on "Reconfigurable Soft Robots by Building Blocks" has been particularly influential.

LEGACY AND FUTURE CONTRIBUTIONS:

Atia's leadership and mentoring roles, supervising PhD, Master, and undergraduate students, exemplify his commitment to knowledge transfer. His awards, including a PhD scholarship from Rolls-Royce plc and the University of Nottingham, attest to his academic excellence and research contributions. The community projects he has led underline a commitment to societal impact.

GLOBAL TALENT VISA ELIGIBILITY:

Atia is eligible to work full-time under the Global Talent Visa between Feb. 2023 – Feb. 2028 without sponsorship, underscoring his recognition and standing in the field.

NOTABLE PUBLICATION

 

Reconfigurable Soft Robots by Building Blocks.  2022 (2)
A Supervisory-Based Collaborative Obstacle-Guided Path Refinement Algorithm for Path Planning in Wide Terrains.  2020 (9)
Path Planning for Robot Manipulator based on Obstacle-Guided Path Refinement.  2019 (1)
Fuzzy logic with load compensation for upper limb exoskeleton control based on IMU data fusion.  2018 (10)
OGPR: An Obstacle-Guided Path Refinement Approach for Mobile Robot Path Planning.  2018 (7)

Redwan Walid – Electronic Health Record System – Best Researcher Award

Redwan Walid - Electronic Health Record System - Best Researcher Award

University of Maryland - United States

AUTHOR PROFILE

ORCID

EARLY ACADEMIC PURSUITS:

Redwan Walid embarked on his academic journey with a Bachelor of Science in Electrical and Electronic Engineering from the University of Azad Jammu and Kashmir, Pakistan, in 2014. His academic prowess is evident from a GPA of 3.3/4.0 during this foundational phase.

PROFESSIONAL ENDEAVORS:

Transitioning into the professional realm, Redwan served as a Network Engineer at IDLC Finance Limited in Bangladesh from 2015 to 2018. Subsequently, in 2018, he took on the role of Junior Engineer in Research and Development at X‑net Limited, demonstrating versatility in both practical and research-oriented domains.

CONTRIBUTIONS AND RESEARCH FOCUS:

Redwan's doctoral journey at the University of Maryland, Baltimore County (2019-2023) in Information Systems, under the guidance of Dr. Karuna Joshi, is marked by a thesis titled "Cloud-based Encrypted Electronic Health Recording System With Semantically Rich Access Control." His research focuses on Semantic Web, Data Privacy and Security, Cloud Computing, Machine Learning, and Big Data Analytics.

IMPACT AND INFLUENCE:

As a Graduate Research Assistant at the KnACC Lab, University of Maryland, Baltimore County (2020-2023), Redwan actively contributed to addressing data security and privacy challenges in cloud services, particularly in healthcare. His research endeavors, as reflected in publications, emphasize secure cloud-based Electronic Health Record (EHR) systems with semantically rich access control.

ACADEMIC CITES:

Redwan has made notable contributions to peer-reviewed conference proceedings, with publications in IEEE conferences such as Big Data Security on Cloud (2023), International Conference on Digital Health (2021), and International Conference on Big Data (2020). His work demonstrates a commitment to advancing knowledge in the intersection of information systems, cloud security, and healthcare technology.

LEGACY AND FUTURE CONTRIBUTIONS:

Redwan's honors and awards, including a Dissertation Fellowship in Fall 2023 and 1st Place in Ph.D. completed research track on IS Poster Day in 2022 and 2021, underscore his impactful presence in the academic arena. His research legacy is poised to influence the realms of secure computation, large-scale data processing, and information systems.

NOTABLE PUBLICATION

Leveraging semantic context to establish access controls for secure cloud-based electronic health records.  

Umair Rasool – Urban Flooding – Best Researcher Award

Umair Rasool - Urban Flooding - Best Researcher Award

Beijing Normal University - China

AUTHOR PROFILE

ORCID

EARLY ACADEMIC PURSUITS:

Umair Rasool initiated his academic journey with a focus on Applied Geology, earning a Bachelor of Science degree from the University of Azad Jammu and Kashmir, Pakistan, in 2014. This laid the foundation for his future contributions in environmental sciences.

PROFESSIONAL ENDEAVORS:

Umair's professional journey commenced as a Junior Geologist in companies such as M/S Trend Scatters Construction Company in Pakistan (2015-2016) and SAMBO Construction Company in South Korea (2014-2015). These roles involved crucial responsibilities in soil and aggregate testing, as well as concrete testing for infrastructure projects.

CONTRIBUTIONS AND RESEARCH FOCUS:

Currently pursuing a Ph.D. in Environmental Sciences at Beijing Normal University (2020-2024*), Umair specializes in Surface Water Modeling, Urban Flood Modeling, Machine Learning, and the Lunar Phases' Influence on Rainfall. His research aligns with developing sustainable water management strategies and understanding climate change impacts on water resources.

IMPACT AND INFLUENCE:

Umair's work as a hydro-environmental scientist and spatial data analyst has a direct impact on urban flooding modeling. Utilizing machine learning models and physically based flood mapping techniques, he contributes to predicting and understanding the ramifications of heavy rainfall events in urban areas. His analyses also encompass the influence of lunar phases and meteorological parameters on extreme rainfall events.

ACADEMIC CITES:

While pursuing his M.Phil in Geological Resources and Geological Engineering at China University of Geosciences (2017-2020), Umair contributed significantly to groundwater potential mapping, land use cover mapping, and geological mapping. His academic journey is marked by a commitment to understanding and managing Earth's resources.

LEGACY AND FUTURE CONTRIBUTIONS:

Umair aspires to promote sustainable water management practices and increase awareness of environmental change impacts. His expertise in GIS, remote sensing, and machine learning positions him to empower individuals, organizations, and governments to protect water resources for a more sustainable future.

NOTABLE PUBLICATION

Influence of lunar phases and meteorological factors on rainfall in Karachi City.  

MARSHEAL FISONGA – Numerical Modelling – Best Researcher Award

MARSHEAL FISONGA - Numerical Modelling - Best Researcher Award

Institute of Geotechnical Engineering, School of Transport Engineering - China

AUTHOR PROFILE

Scopus
ORCID

EARLY ACADEMIC PURSUITS:

MARSHEAL FISONGA embarked on his academic journey with distinction, earning a Bachelor of Science degree in Mining Engineering from the High Institute of Mining and Metallurgy of Moa (University of Moa) in Cuba. Notably, he received Summa Cum Laude honors, affirming his outstanding academic achievements.

PROFESSIONAL ENDEAVORS:

Since October 2019, Marsheal Fisonga has served as a dedicated Lecturer in the Department of Mining Engineering at The University of Zambia, School of Mines. Prior to this, he held the position of Staff Development Fellow and also contributed as a Part-Time Assistant Tutor at the same institution.

CONTRIBUTIONS AND RESEARCH FOCUS:

Dr. Fisonga's research contributions are significant and cover diverse areas of geotechnical engineering. His work on mixing uniformity effects on leaching behavior, mechanical performance of crushed demolished construction waste, and earth pressure evolution within large grid wall foundations reflects his commitment to advancing the field.

IMPACT AND INFLUENCE:

Marsheal Fisonga's impact extends beyond academia, as evidenced by his involvement in projects such as the PI Sasscal 2.0 project in Zambia, focusing on the characterization of expansive soils and AI applications in geotechnical engineering. He has also played a crucial role in designing the Geotechnical Engineering Curriculum at the University of Zambia.

ACADEMIC CITES:

Dr. Fisonga has a notable publication record, with contributions to esteemed journals in geotechnical engineering. His work on burden estimation, fleet productivity optimization in surface mining, and sustainable utilization of copper tailings demonstrates the breadth and depth of his scholarly impact.

LEGACY AND FUTURE CONTRIBUTIONS:

Marsheal Fisonga's legacy is underscored by his role in developing the Geotechnical Engineering Curriculum and his commitment to automation and data acquisition in geotechnical testing. His future contributions are anticipated in ongoing projects related to the lateral displacement of large grid wall foundations and the application of AI in geotechnical engineering.

NOTABLE PUBLICATION

Mining method selection for extracting moderately deep ore body using analytical hierarchy process at mindola sub- vertical shaft.  2022 (4)

FERRY JIE – Transportation – Excellence in Research

Dr. FERRY JIE - Transportation - Excellence in Research

Edith Cowan University - Australia

AUTHOR PROFILE

Scopus
ORCID

EARLY ACADEMIC PURSUITS:

Dr. FERRY JIE, a distinguished academician, commenced his educational journey with a Bachelor's degree in Industrial Engineering in 1996, followed by a Master's in Industrial Engineering in 2000. His academic prowess culminated in a Doctor of Philosophy degree from The University of Sydney in 2008, with a thesis focusing on Supply Chain Analysis in the Australian Beef Industry.

PROFESSIONAL ENDEAVORS:

Dr. Ferry Jie's illustrious career is marked by numerous accolades and achievements, reflecting his commitment to excellence. Notable awards include the Edith Cowan University Professional Development Award (2018), the Mid Career Researcher Career Highlight (2019), and the High Commendation Award for Training, Education & Development Category (2019) by the Supply Chain and Logistics Association of Australia (SCLAA).

CONTRIBUTIONS AND RESEARCH FOCUS:

Ferry Jie's research contributions span diverse domains, with a primary focus on supply chain management and logistics. His engagement in impactful projects, such as the Pfizer Project in 2020, underscores his commitment to practical applications of his research.

IMPACT AND INFLUENCE:

Dr. Jie's influence extends globally, evident in his membership in professional societies such as the Chartered Institute Logistics and Transport, Australia (CILTA), and the Supply Chain and Logistics Association of Australia (SCLAA). His extensive engagement with stakeholders, including the Department of Transport, WA, and Meat and Livestock, Australia (MLA), showcases the broad impact of his work.

ACADEMIC CITES:

Dr. Ferry Jie's extensive publication record, comprising over 55 refereed journal articles and numerous conference papers, places him at the forefront of scholarly leadership. Notably, he has contributed significantly to Q1-ranked journals, highlighting the quality and impact of his research.

LEGACY AND FUTURE CONTRIBUTIONS:

As an Associate Editor for Frontier in Psychology and a Guest Editor for journals like Sustainability and International Journal of Agile and Systems Management, Dr. Jie continues to shape academic discourse. His leadership roles, both internal and external, underscore his commitment to advancing knowledge and fostering collaboration.

NOTABLE PUBLICATION

Investigating the relationship between monetary policy, macro-prudential policy and credit risk in Indonesia banking industry.  2023 (1)