Ariful Hoque | Business, Management and Accounting | Best Researcher Award

Dr. Ariful Hoque | Business, Management and Accounting | Best Researcher Award

Murdoch University | Australia

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Early Academic Pursuits

Dr. Ariful Hoque earned a Bachelor of Science in Civil Engineering from Bangladesh University of Engineering and Technology (BUET), followed by a Doctor of Philosophy (PhD) in Finance from Curtin University, Australia.

Professional Endeavors

With over 20 years of academic experience, Dr. Hoque has served as a finance faculty member at various universities, including Murdoch University, University of South Australia, University of Southern Queensland, and University of Dubai. His roles ranged from Senior Lecturer to Assistant Professor.

Contributions and Research Focus

Dr. Hoque's scholarly contributions span across publications, textbooks, research books, and research book chapters, focusing on finance, economics, and management. His research interests include options markets, risk management, financial decision-making, and international finance.

Accolades and Recognition

Throughout his career, Dr. Hoque has received numerous awards and prizes for his outstanding contributions to academia, including awards for publications in top-tier journals and recognition for excellence in service.

Impact and Influence

Dr. Hoque's research publications in esteemed journals and books have contributed significantly to the fields of finance and economics. His work has been acknowledged internationally, as evidenced by awards and prizes received for his research endeavors.

Legacy and Future Contributions

Dr. Hoque's legacy lies in his substantial contributions to academia through research, teaching, and leadership roles. His continued dedication to scholarship and education is poised to shape the future of finance and economics, inspiring the next generation of researchers and academics. As he progresses, Dr. Hoque's influence is expected to extend further, impacting the academic landscape positively.

Notable Publications

Analysing implied volatility smirk to predict the US stock market crash during the global financial crisis 2023

Are Islamic stocks immune from financial crises? Evidence from contagion tests 2023 (6)

Pricing European Currency Options with High-Frequency Data 2022

How does financial literacy impact on inclusive finance? 2021 (139)

Does corporate culture matter to earnings management? Evidence from Chinese Time‐honoured Brand firms 2021 (13)

 

 

Mokh Afifuddin | Engineering | Best Student Research Project

Mr. Mokh Afifuddin | Engineering | Best Student Research Project

Pukyong National University | South Korea

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Early Academic Pursuits

Mr. Mokh Afifuddin commenced his academic journey with a Bachelor of Engineering in Industrial Engineering, specializing in Industrial Optimization Systems, at Yudharta University, Indonesia. This foundational phase led him to pursue a Master of Engineering in Industrial Engineering, with a focus on the Development of Industrial Management Systems, at Institut Teknologi Sepuluh Nopember (ITS), Indonesia, under the prestigious BPPDN scholarship by the Ministry of Education and Culture.

Professional Endeavors

Mr. Afifuddin's professional career is characterized by a diverse range of roles, including teaching at high school and university levels, lecturing, and occupying leadership positions in academia. Noteworthy roles include lecturer at Yudharta University, lecturer at the Textile Industry Community Academy, Chief of Professional Certification Body (LSP) P1 at AK-Textile and data analyzing staff at the Ministry of Industry, Indonesia.

Contributions and Research Focus

Mr. Afifuddin's research contributions span various domains of industrial engineering and management, with a focus on performance measurement systems, factory layout optimization, occupational health and safety procedures, and textile engineering. His publications and research endeavors elucidate innovative approaches to enhance production efficiency, mitigate workplace hazards, and optimize industrial processes.

Accolades and Recognition

Throughout his academic and professional journey, Mr. Afifuddin has received notable recognition and grants, including the BPPDN full scholarship for his master's degree, the "Spirit" research grant from the Ministry of Industry, Indonesia, and publications in esteemed journals such as the Journal of Industrial Engineering and Management.

Impact and Influence

Mr. Afifuddin's research and professional contributions have made a significant impact on the fields of industrial engineering, textile engineering, and occupational health and safety procedures. His work addresses critical challenges faced by industries, offering practical solutions to enhance productivity, safety standards, and operational efficiency.

Legacy and Future Contributions

Mr. Afifuddin's legacy lies in his dedication to advancing industrial engineering practices and shaping the future of textile engineering. His research initiatives and leadership roles within professional associations pave the way for the next generation of industrial engineers, ensuring sustainable development and continuous improvement in industrial processes and workplace safety standards.

Notable Publications

Predictive modeling for technology convergence: A patent data-driven approach through technology topic networks 2024

DESIGNING TEXTILE WASTE SHREDDER MACHINE FOR CONTINOUS PRODUCT 2021

A Supervised Learning-Based Approach to Anticipating Potential Technology Convergence 2022 (4)

 

Hongwei Wang | Computer Science | Best Researcher Award

Mr. Hongwei Wang | Computer Science | Best Researcher Award

North Minzu University | China

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Early Academic Pursuits

Mr. Hongwei Wang embarked on his academic journey with a Bachelor's degree in Computer Science and Technology from Harbin Institute of Information Engineering. He excelled in courses like Software Engineering, Operating System, and Internet Programming. Later, he pursued a Master's degree in Computer Technology at North Minzu University, focusing on Pattern Recognition, Semantic Network, and Knowledge Graph.

Professional Endeavors

Hongwei Wang's professional endeavors are centered around medical image processing and object detection. His research has led to the development of innovative models such as M3YOLOv5 for mandibular fracture detection and CCGL-YOLOV5 for lung tumor detection, published in reputable journals like Computers in Biology and Medicine.

Contributions and Research Focus

Wang's primary research focus lies in medical image processing, particularly in the realm of object detection. His work addresses critical issues in healthcare by enhancing the accuracy and efficiency of diagnostic processes through advanced technological solutions.

Accolades and Recognition

Wang's academic achievements have been recognized through various scholarships, including postgraduate school first and second-class scholarships. He has also received accolades such as the "Learning Star" award during his undergraduate studies and has actively participated in prestigious competitions like the National Postgraduate Mathematical Modeling Competition.

Impact and Influence

Through his research and academic excellence, Wang has made a significant impact on the field of medical image processing. His contributions have the potential to revolutionize diagnostic procedures, leading to improved patient outcomes and enhanced healthcare delivery.

Legacy and Future Contributions

Mr. Hongwei Wang's legacy lies in his dedication to advancing medical image processing technology for the betterment of healthcare. His future contributions are expected to further push the boundaries of object detection algorithms, paving the way for more accurate and efficient diagnostic tools. With a strong foundation in computer science and a passion for innovation, Wang is poised to continue making substantial contributions to the field.

Notable Publications

M3YOLOv5: Feature enhanced YOLOv5 model for mandibular fracture detection 2024

CCGL-YOLOV5:A cross-modal cross-scale global-local attention YOLOV5 lung tumor detection model 2023 (3)

 

 

Nam-Phuong Tran | Computer Science | Best Researcher Award

Mr. Nam-Phuong Tran | Computer Science | Best Researcher Award

Chung-Ang University | South Korea

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Early Academic Pursuits

Mr. Nam-Phuong Tran began his academic journey at Hanoi University of Science and Technology, Vietnam, where he pursued a Bachelor of Engineering in Computer Science, completing it from August 2015 to June 2020. His thesis, "Spatio-Temporal Dynamics of the Labor Market," showcased his early dedication to research. Subsequently, he pursued an MSc of Science in Computer Science at Chung-Ang University, Seoul, Korea, focusing on QoE Management for Video Streaming Systems over IRS-aided RSMA Networks under the guidance of Professor Sungrae Cho.

Professional Endeavors

Tran has diversified professional experience, ranging from software engineering to research roles. He worked as a Software Engineer at Viettel Digital Service and as a Graduate Research Assistant at the Ultra-Intelligent Computing/Communication Lab, Chung-Ang University. Additionally, he has served as a Software Developer, Data Scientist Intern, and Undergraduate Research Assistant, gaining exposure to various facets of computer science and engineering.

Contributions and Research Focus

Tran's research primarily revolves around improving Quality of Experience (QoE) in communication networks, focusing on topics such as wireless resource allocation, bitrate adaptation, and low-latency protocols. His expertise spans intelligent reflecting surfaces, rate-splitting multiple access, IoT, deep learning, reinforcement learning, federated learning, and multimedia over wireless networks. He has also delved into big data analytics, including data crawling, mining, visualization, and predictive analytics.

Accolades and Recognition

Tran's dedication to academia has been acknowledged through numerous awards and scholarships, including the Chung-Ang University Young Scientist Scholarship, Brain Korea 21 Graduate School Research Scholarship, Daewoong AI Big Data Scholarship, and the Shinhan Bank Scholarship. He has also received recognition for his programming skills and outstanding thesis presentation.

Impact and Influence

Tran's research contributions, particularly in the realm of improving QoE in communication systems, have the potential to influence the development of more efficient and user-centric network protocols. His work in wireless resource allocation, bitrate adaptation, and low-latency protocols could lead to significant advancements in multimedia streaming, IoT, and metaverse applications, shaping the future of communication technologies.

Legacy and Future Contributions

Tran's legacy may lie in his interdisciplinary approach to addressing challenges in communication networks and big data analytics. His research outputs and professional endeavors are poised to contribute to advancements in wireless communication, machine learning applications, and data-driven decision-making. With his demonstrated commitment to excellence and innovation, he is likely to continue making notable contributions to the field of computer science and engineering, both in academia and industry.

Notable Publications

Joint wireless resource allocation and bitrate adaptation for QoE improvement in IRS-aided RSMA-enabled IoMT streaming systems 2024

Privacy-Preserving Traffic Flow Prediction: A Split Learning Approach 2023

Delay-constrained quality maximization in RSMA-based video streaming networks 2022

A Survey on Intelligent Reflecting Surface-aided Non-Orthogonal Multiple Access Networks 2022

A Survey on Passive Beamforming using Statistical State Information in Intelligent Reflecting Surface Assisted Networks 2022

 

 

Pooja Rani | Mathematics | Best Researcher Award

Dr. Pooja Rani | Mathematics | Best Researcher Award

GMSSSS, Ratia | India

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Early Academic Pursuits

Dr. Pooja Rani's academic journey began with a strong foundation in mathematics, culminating in a Ph.D. in Mathematics with a focus on "Mathematical Modeling of an Elastic and Thermoelastic Medium Due to Various Seismic Sources". Her educational qualifications include an M.Sc. in Mathematics, a B.Ed., and qualification for the NET JRF examination. Notably, she was awarded the Roll of Honor for achieving a high position in her graduation.

Professional Endeavors

With five years of teaching experience, Dr. Pooja Rani has established herself as a dedicated educator and researcher. Her professional endeavors have led her to delve into the intricate dynamics of thermoelastic materials, focusing on various theories of thermoelasticity.

Contributions and Research Focus

Dr. Pooja Rani's research revolves around the elastic and thermoelastic properties of materials, aiming to analyze dynamic problems within this domain. Her work encompasses the study of thermoelastic behavior in diverse geometries such as cylinders, disks, spheres, circular plates, and circular tubes. Through her research, she seeks to contribute to a deeper understanding of thermoelastic phenomena and their practical implications.

Accolades and Recognition

Dr. Pooja Rani's dedication and contributions to the field of mathematics have earned her recognition, including the prestigious Roll of Honor for her outstanding performance during her graduation. Additionally, her qualification for the NET JRF examination highlights her academic prowess and potential in research.

Impact and Influence

The research conducted by Dr. Pooja Rani holds significant potential for impact in both academic and practical spheres. By delving into the complex dynamics of thermoelastic materials, her work contributes to advancements in understanding material behavior under various conditions. This understanding has implications for fields such as structural engineering, seismology, and materials science.

Legacy and Future Contributions

Dr. Pooja Rani's legacy is marked by her dedication to advancing the understanding of thermoelasticity through mathematical modeling. Her research not only sheds light on fundamental principles but also lays the groundwork for practical applications in engineering and geophysics. As she continues her academic journey, her innovative contributions are poised to shape the future of research in thermoelastic materials, leaving a lasting impact on the scientific community.

Notable Publications

Thermoelastic stress analysis of a functionally graded annular rotating disc with radially varying properties 2024

Wave analysis in porous thermoelastic plate with microtemperature 2023

One Dimensional Steady Thermal Stresses in a Rotating Thick-walled Sphere made of Functionally Graded Material 2022

Sin Yuan Lai | Chemistry | Best Researcher Award

Assist Prof Dr. Sin Yuan Lai | Chemistry | Best Researcher Award

Xiamen University | Malaysia

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Early Academic Pursuits

Dr. Sin Yuan Lai embarked on her academic journey with a Bachelor of Science in Industrial Chemistry from Universiti Teknologi Malaysia, where she attained First Class Honours. She continued her academic pursuit with a Doctorate in Chemistry (Materials Science) from the same university. Her doctoral research focused on the preparation of titanium, zinc, and nickel complexes silica-based catalysts for limonene and 1-octene oxidation reactions.

Professional Endeavors

Dr. Sin Yuan Lai has held various academic positions, including Assistant Professor at Xiamen University Malaysia and Southern University College. She has extensive experience in teaching, research, and administrative duties, contributing significantly to the academic community. She has also served as a research fellow and postdoctoral researcher at the Centre for Sustainable Nanomaterials (CSNano), Ibnu Sina Institute for Scientific and Industrial Research (ISIS-IR), Universiti Teknologi Malaysia.

Contributions and Research Focus

Her research interests primarily revolve around heterogeneous catalysis, nanomaterials, materials science, photocatalysis, green chemistry, and biofuel. Dr. Sin Yuan Lai has made notable contributions to these fields through her research projects, publications in high-impact journals, and participation in conferences and symposiums. She has also been actively involved in securing research grants and collaborating with other institutions on joint research projects.

Accolades and Recognition

Dr. Sin Yuan Lai's academic achievements have been recognized through various awards and scholarships, including the POPSIG Award, FRGS, Post-doctoral Fellowship Award, MyPhD Scholarship Award, Best Oral Presenter Award, Zamalah Scholarship Award, and Bronze Award Winner at the Industrial Art and Technology Exhibition (INATEX).

Impact and Influence

Her impact extends beyond academia, as evidenced by her involvement in establishing memorandum of understanding (MoU) with universities, securing patents, and serving as a peer reviewer for international journals. Dr. Sin Yuan Lai's contributions have contributed to the advancement of knowledge and the development of sustainable technologies.

Legacy and Future Contributions

Dr. Sin Yuan Lai's legacy lies in her dedication to teaching, research, and scholarly activities. Her future contributions are anticipated to further enrich the fields of heterogeneous catalysis, nanomaterials, and materials science, fostering innovation and sustainability in these areas.

Notable Publications

One-pot synthesis of regenerative calcium counterions from waste chicken eggshells for SO2-to-sulfur reduction 2024

Sulfur dioxide catalytic reduction for environmental sustainability and circular economy: A review 2023 (4)

SO2 Mitigation via Catalytic Oxidation using Carbonaceous Materials and Metal Oxides for Environmental Sustainability 2023

Environmental Footprint Assessment of Methylene Blue Photodegradation using Graphene-based Titanium Dioxide 2023

Surface-silanised and alkoxylated micro-mesoporous Ni/hierarchical nanozeolites for oleic acid hydrodeoxygenation 2023

 

 

 

Sushovan Khatua | Computer Science | Best Researcher Award

Mr. Sushovan Khatua | Computer Science | Best Researcher Award

Maulana Abul Kalam Azad University of Technology | India

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Early Academic Pursuits

Mr. Sushovan Khatua embarked on his academic journey with a zeal for excellence, evident from his stellar academic record. Graduating with distinction from various institutions, including  KU, and VU, he laid a robust foundation in computer science, paving the way for his future endeavors.

Professional Endeavors

With a blend of academic prowess and practical experience, Mr. Khatua delved into diverse professional undertakings. From internships at renowned organizations to roles in software testing and quality assurance at AVALGATE SOFTWARE LLP, he honed his skills across different domains.

Contributions and Research Focus

Mr. Khatua's contributions extend to both academia and industry, with a focus on cutting-edge research in areas such as Internet of Vehicular Things (IoVT), cloud computing, combinatorial optimization, and machine learning. His publications and collaborative projects demonstrate his dedication to addressing real-world challenges through innovative solutions.

Accolades and Recognition

Mr. Khatua's achievements speak volumes about his academic and research excellence. Notable accolades include qualifing GATE (Computer Science) and receiving the Best Paper Award at the 5th Regional Science and Technology Congress, Govt. of West Bengal. His scholarly contributions have been recognized in esteemed journals and conferences.

Impact and Influence

Mr. Khatua's research endeavors have made a significant impact, particularly in the realms of vehicular communications, sustainable logistics, and optimization problems. His collaborative efforts with renowned institutions and industry partners underscore his commitment to driving positive change through interdisciplinary collaboration.

Legacy and Future Contributions

As Mr. Khatua continues his pursuit of knowledge and innovation, his legacy is poised to inspire future generations of researchers and practitioners in the fields of computer science and engineering. With a focus on sustainability, resilience, and technological advancement, he aims to contribute meaningfully to society and academia, leaving an indelible mark on the landscape of research and innovation.

Notable Publications

SoVEC: Social Vehicular Edge Computing-based Optimum Route Selection 2024

Leveraging Machine Learning of Indian Railways Public Procurement Data for Managerial Insights 2023

Dew Computing-Based Sustainable Internet of Vehicular Things 2023

Ayan Paul | Agricultural and Biological Sciences | Best Researcher Award

Mr. Ayan Paul | Agricultural and Biological Sciences | Best Researcher Award

Indian Institute of Technology Kharagpur | India

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Early Academic Pursuits

Ayan Paul commenced his academic journey with a Bachelor's in Agricultural Engineering from Orissa University of Agriculture and Technology, Bhubaneswar, where he displayed exceptional prowess with a CGPA of 8.323. His early education at Air Force School Agra, securing a remarkable 95.20%, laid the foundation for his future academic endeavors.

Professional Endeavors

Throughout his academic career, Ayan delved into various practical experiences, including internships at prestigious institutions like CLAAS India Private Ltd., ICAR- Central Institute of Agricultural Engineering, and Odisha Farm Machinery Research and Development Centre. These experiences honed his skills in agricultural machinery design, operation, maintenance, and research.

Contributions and Research Focus

Ayan's M.Tech project on designing an Adjustable Chassis for a Track Type Combine Harvester stands as a testament to his dedication and expertise in the field of farm machinery and power. His B.Tech project, focusing on the field evaluation of Tractor Drawn Groundnut Digger Shaker, showcases his commitment to advancing agricultural practices through innovative solutions.

Accolades and Recognition

Ayan's academic excellence was acknowledged with notable achievements such as securing All India Rank 14 in the Graduate Aptitude Test in Engineering (GATE 2020) and securing All India Rank 64 in ICAR's All India Entrance Examination for Agriculture (AIEEA- UG 2016). These accolades underscore his outstanding capabilities and dedication to his field.

Impact and Influence

Ayan's contributions extend beyond academic achievements, as evidenced by his participation in skill development courses and entrepreneurship programs. His endeavors in remote sensing, GIS in agriculture, food packaging technology, and entrepreneurship development reflect his holistic approach to agricultural engineering and his potential to drive positive change in the field.

Legacy and Future Contributions

With a solid foundation in agricultural engineering, coupled with practical experiences and academic achievements, Ayan Paul is poised to make significant contributions to the field. His focus on innovation and research promises to bring about advancements in farm machinery design, agricultural technology, and sustainable farming practices, leaving a lasting legacy in agricultural engineering and beyond.

Notable Publications

Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification 2024

Utilizing Fine-Tuned YOLOv8 Deep Learning Model for Greenhouse Capsicum Detection and Growth Stage Determination 2023 (1)

 

Pankaj Kumar | Mathematics | Best Researcher Award

Assist Prof Dr. Pankaj Kumar | Mathematics | Best Researcher Award

National Institute Technology Hamirpur | India

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Early Academic Pursuits

Dr. Pankaj Kumar's academic journey began with a Bachelor of Science in Mathematics Honours from Ranchi University, followed by a M.Tech., in Operations Research from the National Institute of Technology, Durgapur. He pursued his Ph.D. in Optimization Methods in Finance at the prestigious Indian Institute of Technology Kharagpur, specializing in interval optimization methods for portfolio selection problems.

Professional Endeavors

Dr. Kumar has held various research and teaching positions, including Research Assistant Professor at the Department of Mathematics, SRM Institute of Science and Technology, and Visiting Faculty at the Institute of Financial Management and Research. He has also served as a Visiting Research Scholar and held Senior and Junior Research Fellowships at the Indian Institute of Technology Kharagpur.

Contributions and Research Focus

His research interests lie in operations research, optimization methods in finance, interval optimization, machine learning, and crop area planning. Dr. Kumar has contributed significantly to the field through his publications in esteemed journals and conferences, focusing on topics such as multi-objective portfolio selection, mean-value-at-risk portfolio optimization, and stochastic programming techniques.

Accolades and Recognition

Dr. Kumar has received several honors and awards, including travel grants from the Department of Science and Technology (DST) and recognition for his paper presentations. He has been awarded prestigious fellowships for his research work, including visiting, senior, and junior research fellowships at Indian universities.

Impact and Influence

His research has made a notable impact on the field of optimization and finance, providing valuable insights into portfolio selection, risk management, and decision-making processes. Dr. Kumar's work has been recognized through his appointment as an Editorial Board Member of Applied and Computational Mathematics (ACM) and teaching awards for his contributions to mathematics education.

Legacy and Future Contributions

Dr. Kumar's legacy lies in his dedication to advancing knowledge in operations research and finance through rigorous academic inquiry and innovative problem-solving approaches. His future contributions are poised to further enrich the field, addressing emerging challenges and pushing the boundaries of optimization theory and applications.

Notable Publications

Efficient solutions for vector optimization problem on an extended interval vector space and its application to portfolio optimization 2024

Parametric approach for multi-objective enhanced interval linear fractional programming problem 2023

Prediction based mean-value-at-risk portfolio optimization using machine learning regression algorithms for multi-national stock markets 2023 (20)

Solving mean-VaR portfolio selection model with interval-typed random parameter using interval analysis 2021 (3)

Multi-objective enhanced interval optimization problem 2020 (7)

 

Nathalie Tremblay | Business, Management and Accounting | Excellence in Innovation Award

Dr. Nathalie Tremblay | Business, Management and Accounting | Excellence in Innovation Award

Strasbourg University | France

Author Profile

Scopus

Early Academic Pursuits

Dr. Nathalie Tremblay pursued her academic journey with a Bachelor of Arts in Multidisciplinary Studies, followed by a Master of Business Administration (M.B.A.) from HEC Montreal. She later attained a Ph.D. in Management Sciences from the University of Strasbourg, specializing in Economics and Innovation Management.

Professional Endeavors

With over 30 years of experience, Dr. Tremblay has held various leadership roles, including President-CEO at the Quebec Breast Cancer Foundation, Director of Fundraising at the Montreal Symphony Orchestra, and President-Co-Founder & Publisher at Edition NÉVÉ Inc. She has contributed significantly to strategic management, brand positioning, organizational restructuring, and philanthropic development.

Contributions and Research Focus

Dr. Tremblay's research focuses on management and economics of innovation, particularly in medical technologies and life sciences. She specializes in strategic innovation management, socio-economic impact assessment in health ecosystems, and governance issues such as corporate social responsibility. Her work extends to advisory committees, international partnerships, and multidisciplinary collaboration.

Accolades and Recognition

Throughout her career, Dr. Tremblay has garnered recognition for her contributions to innovation management and healthcare. She has been invited as a speaker at various conferences worldwide, addressing topics like innovation, digital transformation in healthcare, and living lab approaches. Additionally, she has served on advisory boards and governance committees, including the Fonds de recherche du Québec, Santé, and Groupe MC PEAK SIROIS.

Impact and Influence

Dr. Tremblay's research and professional endeavors have made a significant impact on the innovation landscape, particularly in healthcare and medical technologies. Her work has influenced strategic decision-making, governance practices, and socio-economic policies in health ecosystems. Through her leadership roles and collaborative efforts, she has fostered innovation, sustainability, and value creation in diverse sectors.

Legacy and Future Contributions

Dr. Tremblay's legacy lies in her extensive contributions to innovation management and healthcare sustainability. Her research, advisory roles, and leadership have laid the groundwork for continued advancements in strategic innovation management, governance, and socio-economic impact assessment. As she continues to lead and collaborate on research projects, her vision is to drive positive change and create enduring value in health ecosystems globally.

Notable Publications

A multi-level perspective on innovation intermediaries: The case of the diffusion of digital technologies in healthcare 2024

Living labs and innovation commons in healthcare ecosystems: The case of the TransMedTech Institute in Montreal. 2022