Huifang Niu | Engineering and Technology | Best Researcher Award

Dr. Huifang Niu | Engineering and Technology | Best Researcher Award

lecturer | North University | China

Huifang Niu, born in September 1986, is a Lecturer at North University of China with a strong academic background in automation and intelligent systems. She earned her Bachelor’s degree in Automation and her M.S. in Pattern Recognition and Intelligent Systems from Mongolian University, Hohhot, China, in 2010 and 2013 respectively. In 2023, she completed her Ph.D. in Complex System Modeling and Simulation at North University of China. Her current research focuses on the Remaining Useful Life (RUL) prediction of complex systems, an important area in predictive maintenance and reliability engineering. As an active researcher and educator in electrical engineering, she has published three SCI-indexed journal articles and continues to contribute to the advancement of intelligent system modeling and predictive analytics. Her interdisciplinary expertise bridges automation, simulation, and intelligent diagnostics, positioning her as a promising figure in applied engineering research.

Professional Profile 

Scopus Profile

Education 

Huifang Niu has pursued a progressive academic path in engineering and intelligent systems. She earned her Bachelor’s degree in Automation from Mongolian University, Hohhot, China in July 2010, laying the foundation for her expertise in control systems and automation technologies. She continued at the same institution to obtain her Master’s degree in Pattern Recognition and Intelligent Systems in July 2013, where she delved deeper into machine learning and intelligent algorithms. Most recently, she completed her Ph.D. in Complex System Modeling and Simulation from North University of China, Taiyuan, in June 2023, with a research focus on predictive modeling and the remaining useful life (RUL) of complex systems. Her academic journey reflects a strong.

Professional Experience 

Huifang Niu is currently serving as a Lecturer at North University of China, where she is actively involved in both teaching and research within the field of electrical engineering. Her professional work centers on the prediction of the Remaining Useful Life (RUL) of complex systems, a vital area in the domains of system reliability and intelligent maintenance. With a strong academic foundation and research focus, she contributes to the academic development of undergraduate and postgraduate students while also engaging in scholarly research. Her role bridges theory and application, combining complex system modeling with real-world engineering challenges. Through her work, she continues to expand her expertise in automation, intelligent diagnostics, and predictive system analysis.

Research Interests

Huifang Niu’s research interests lie at the intersection of complex system modeling, intelligent diagnostics, and predictive maintenance. She is particularly focused on the Remaining Useful Life (RUL) prediction of complex systems, which plays a crucial role in improving system reliability, optimizing maintenance strategies, and reducing operational risks in industrial settings. Her work leverages techniques from pattern recognition, machine learning, and simulation modeling to develop accurate and efficient predictive models. Driven by real-world engineering challenges, her research aims to enhance the performance, safety, and longevity of automated and intelligent systems, contributing meaningfully to the fields of electrical engineering, system reliability, and intelligent systems design.

Awards and Honors

As an emerging scholar in the field of intelligent systems and predictive maintenance, Huifang Niu has begun to establish her academic footprint through SCI-indexed publications and her contributions to complex system modeling. While she has not yet been widely recognized with major national or international awards, her recent completion of a Ph.D. in 2023 and her ongoing research work position her as a strong candidate for future honors. Her dedication to high-quality research, teaching excellence, and contributions to the engineering community suggest that further academic and professional recognition is likely as she continues to advance her scholarly career.

Publications Top Noted

Title: Remaining Useful Life Prediction for Multi-Component Systems with Stochastic Correlation Based on Auxiliary Particle Filter

Year: 2025

Conclusion

Hiufang Niu shows promising early-career researcher qualities, especially with a recent Ph.D. and specialized work in predictive modeling for complex systems. Her academic progression, SCI-indexed publications, and focused research direction provide a strong foundation. However, for a highly competitive “Best Researcher Award,” the scope and impact of contributions could be further enhanced.

Maksym Koghut | Computer Science and Artificial Intelligence | United Kingdom

Dr. Maksym Koghut | Computer Science and Artificial Intelligence | United Kingdom

Lecturer at Manchester Metropolitan University, United Kingdom

Dr. Maksym Koghut is an accomplished academic and researcher at Manchester Metropolitan University Business School, UK, with a robust interdisciplinary background spanning management, engineering, and financial sciences. He holds a PhD in Management from the University of Kent and has taught at several leading UK institutions, delivering modules in digital transformation, blockchain, strategy, and innovation. His research focuses on the strategic implications of digital technologies, inter-organisational trust, and AI in business contexts, with publications in high-quality journals and presentations at prominent international conferences. In addition to his academic credentials, Dr. Koghut brings substantial industry experience through leadership roles in multiple startups across the UK and Ukraine. He is a Fellow of the Higher Education Academy and has been recognized with several academic and teaching awards, reflecting his excellence in both research and pedagogy.

Professional Profile 

🎓 Education of Dr. Maksym Koghut

Dr. Maksym Koghut has pursued a dynamic and interdisciplinary educational journey across the UK and Ukraine. He earned his PhD in Management from the University of Kent (2018–2021), where he developed a strong foundation in strategic management and digital transformation. Prior to that, he completed a BA (Hons) in Business Information Management at the University of Huddersfield (2014–2017), and a BA (Hons) in Financial Management from the Inter-Regional Academy of Personnel Management, Ukraine (2010–2012), highlighting his grounding in both information systems and finance. His academic path began with a BEng (Hons) in Mechanical Engineering from Cherkassy Engineering and Technological Institute, Ukraine (1995–2000), demonstrating a solid technical and analytical base. This unique combination of disciplines enhances his expertise in digital business, innovation, and organizational strategy.

💼 Professional Experience of Dr. Maksym Koghut

Dr. Maksym Koghut brings a wealth of professional experience that bridges academia and industry. He is currently a Lecturer at Manchester Metropolitan University Business School, where he leads and teaches postgraduate and degree apprenticeship modules focused on blockchain, digital transformation, and Industry 4.0. His previous academic roles include lecturing positions at Coventry University London, the University of Kent, and the University of Huddersfield, where he developed and led modules in strategic management, digital information systems, innovation, and entrepreneurship. Beyond academia, Dr. Koghut has a strong entrepreneurial background, having founded and directed several businesses in the UK and Ukraine, including Script Software Ltd (a robotics software company), MotorHood Platform Ltd, and other ventures in automotive services, photography, and industrial equipment. This dual experience in research and real-world business operations uniquely positions him as a thought leader in digital enterprise and innovation.

🔬 Research Interests of Dr. Maksym Koghut

Dr. Maksym Koghut’s research interests lie at the intersection of digital transformation and strategic management in modern business environments. He focuses on the strategic implications of emerging technologies such as blockchain, artificial intelligence, and augmented/extended reality (XR), especially in the context of inter-organisational relationships and digital enterprises. His work explores how social capital, trust, and innovation evolve in digitally networked ecosystems, offering insights into how organisations adapt and thrive amid rapid technological change. Dr. Koghut also investigates consumer behavior in digital settings, including mobile payment discontinuance and AI-generated advertising. His research is both conceptually grounded and practically relevant, contributing to academic scholarship and informing industry practices in the digital age.

🏆 Awards and Honors of Dr. Maksym Koghut

Dr. Maksym Koghut has been recognized multiple times for his outstanding contributions to both research and teaching. He received the “Above & Beyond Award” twice from Kent Business School in 2022 for excellence in teaching at both undergraduate and postgraduate levels. His academic journey has been supported by prestigious scholarships, including the Vice Chancellor’s Research Scholarship from the University of Kent in 2018 and the Vice Chancellor’s Scholarship for PhD Studies from Huddersfield Business School in 2017. Additionally, he was awarded the Strategic Planning Society Prize for being the Best Student in Strategy at Huddersfield Business School in 2017. These honors highlight Dr. Koghut’s consistent excellence, dedication, and impact in the academic and professional communities.

🏁 Conclusion

Dr. Maksym Koghut is a compelling and highly suitable candidate for the Best Researcher Award. He brings together a rich combination of academic excellence, cutting-edge research, teaching innovation, and industry engagement. His interdisciplinary expertise and consistent scholarly output in contemporary digital business themes position him as a thought leader in the digital transformation domain.

📚 Publications Top Noted

  1. Title: A Blockchain-based Inter-organisational Relationships: Social and Innovation Implications
    Authors: Maksym Koghut, Omar Al-Tabbaa, Soo Hee Lee, Martin Meyer
    Year: 2021
    Citation: Academy of Management Proceedings, 2021-08
  2. Title: A Blockchain-based Inter-organisational Relationships: Social and Innovation Implications
    Authors: Maksym Koghut, Omar Al-Tabbaa, Soo Hee Lee, Martin Meyer
    Year: 2021
    Citation: Academy of Management Proceedings, 2021-08
  3. Title: The Effects of Autonomous Contracting on Inter-organisational Relationships: A Process Model of Trust, Social Capital and Value Co-creation
    Authors: Maksym Koghut, Omar Al-Tabbaa, Soo Hee Lee, Martin Meyer
    Year: 2020
    Citation: British Academy of Management Annual Conference, 2020-09-04
  4. Title: The Blockchain-Trust Nexus: A New Era for Inter-organizational Trust Meaning and Formation
    Authors: Maksym Koghut, Omar Al-Tabbaa, Martin Meyer
    Year: 2019
    Citation: Academy of Management Proceedings, 2019-08
  5. Title: Modelling Decentralised Collaboration Between Engineering Teams: A Blockchain-based Solution
    Authors: Maksym Koghut, John Makokha
    Year: 2018
    Citation: VI International Scientific and Technical Conference, 2018-09-01

Aneetha Sukhari | Tech Innovations | Best Researcher Award

Dr. Aneetha Sukhari | Tech Innovations | Best Researcher Award

Senior lecturer, at University of South Africa, South Africa.

Dr. Aneetha Sukhari is a distinguished academic, researcher, and Chartered Accountant with over two decades of experience in the accounting and auditing sector. Currently serving as a Senior Lecturer at the University of South Africa, she leads undergraduate modules in auditing, emphasizing 4IR, Africanisation, and integrated reporting. Her academic journey is underpinned by a commitment to quality education, student success, and transformation in higher education. Dr. Sukhari’s PhD research bridges artificial intelligence with accounting, while her previous roles at PricewaterhouseCoopers and the Auditor General’s office reflect her robust foundation in both public and private sector auditing. She has published in international journals, supervised master’s research, and actively participates in strategic academic committees, including those on AI curriculum integration. Her current work explores the intersection of digitalization, sustainability, and AI in financial reporting—making her a key thought leader in redefining the future of accounting sciences.

Professional Profile

Scopus

ORCID

Google Scholar

🎓 Education

Dr. Sukhari earned her PhD in Accounting and 4IR from the University of Johannesburg (2024), where her thesis explored the value relevance of business model and 4IR disclosures in integrated reports. She holds a Master’s in Accounting Sciences (2016) from the University of Pretoria, focusing on integrated reporting’s influence on business model disclosures. She passed both Part 1 and Part 2 of the South African Institute of Chartered Accountants’ qualifying exams (2009 & 2010), and completed her Bachelor of Accounting Sciences (Honours) at the University of South Africa in 2005. Her foundational degree, a BCom in Accounting, was awarded by the University of KwaZulu-Natal in 2002. Dr. Sukhari has also attended an extensive range of professional training programs in AI, ethics, governance, and strategic thinking, ensuring her qualifications are continually aligned with evolving industry standards and global trends.

💼 Experience

Dr. Sukhari has been a Senior Lecturer at the University of South Africa since 2014, where she manages large-scale undergraduate auditing programs, supports thousands of students annually, and leads module development that integrates cutting-edge topics like artificial intelligence and decolonisation. Prior to academia, she served as a Technical Specialist at the Auditor General of South Africa (2009–2014), developing audit methodologies and advising audit teams on regulatory and accounting matters. Her career began at PricewaterhouseCoopers (2005–2009) as a Trainee Accountant, where she handled high-profile audits for public and private institutions. Dr. Sukhari’s career reflects a balance between academic leadership, applied technical expertise, and ongoing contributions to curriculum development and professional training. She is also active in numerous professional and university committees, including those focused on AI integration, disability inclusion, and Africanised education.

🔬 Research Interest

Dr. Aneetha Sukhari’s research passion lies at the dynamic intersection of accounting, digital transformation, and corporate transparency. 🧠💡 Her current focus revolves around the value relevance of 4IR and digitalization disclosures in integrated reports. She explores how emerging technologies—like artificial intelligence, automation, and digitization—can reshape corporate reporting to better serve investors, stakeholders, and regulators. Her doctoral and postdoctoral research emphasizes business model disclosure quality, pushing for enhanced accountability and transparency in financial communication. 📊 Other interests include curriculum transformation, the Africanisation of accounting standards, ethical auditing practices, and smart auditing in the public sector. Through her publications, conference presentations, and committee memberships, Dr. Sukhari actively contributes to both the theoretical and practical advancement of the accounting field in the context of the Fifth Industrial Revolution. Her goal is to make accounting education and research more inclusive, futuristic, and socially responsive. 🌍📘

Awards and Honors

Dr. Sukhari has been the recipient of the College of Accounting Sciences Research Award twice—first for completing her Master’s degree in 2019, and again in 2020 for her first academic journal publication. Additionally, she has secured competitive research grants through the Academic Qualification Improvement Program (AQIP), receiving R1.2 million (2016–2017) and R2.7 million (2020–2022), which supported her advanced research in AI and integrated reporting. She is a peer reviewer for reputable journals, serves on editorial boards, and is a recognized speaker at international conferences. Her leadership and committee roles—particularly in AI curriculum transformation and feminist theory in academia—underscore her reputation as an influential voice in transforming accounting education and research. These accolades, combined with her extensive mentorship of postgraduate students, highlight her standing as an exemplary and impactful researcher in her field.

Research Focus

Dr. Aneetha Sukhari’s research lies at the intersection of accounting, artificial intelligence, sustainability, and curriculum transformation. Her scholarly work investigates the value relevance of business model and digitalization disclosures in integrated reports, particularly using natural language processing (NLP) techniques. Her PhD work reflects a pioneering effort in aligning accounting practices with Fourth Industrial Revolution (4IR) advancements. She is actively involved in projects exploring AI’s role in public sector governance, feminist and Africanist approaches to curriculum design, and how emerging technologies can support the United Nations Sustainable Development Goals in Africa. Her supervision of master’s theses further aligns with her interests in corporate responsibility, CSR disclosures, and financial governance in both private and public institutions. Through her research, Dr. Sukhari is advancing the frontiers of accounting science and shaping its relevance in an AI-driven, globally conscious future.

📚 Top Noted Publications

Dr. Sukhari’s publications focus on the intersection of integrated reporting, business model disclosures, and digitalization within the evolving corporate reporting landscape. Her works include:

📘 1. Sukhari, A., Coetsee, D. & Ade-Ibijola, A. (2023)

Title: The value relevance of digitalization disclosure in integrated reports: A South African perspective
Journal: The International Journal of Digital Accounting Research, Volume 23, pp. 69–96
DOI: [Check publisher’s site]
Cited by: 7 articles

Abstract Summary:
This paper investigates how digitalization-related disclosures in integrated reports affect the value relevance of information provided to investors in South Africa. Using a sample of integrated reports from South African firms, the study evaluates the extent, quality, and investor response to digitalization disclosures.

Key Contributions:

  • Highlights the growing importance of digital transformation in corporate reporting.

  • Demonstrates that meaningful disclosure of digitalization strategies and initiatives correlates positively with firm valuation metrics.

  • Offers insights for regulators and practitioners on improving reporting standards for digital innovation.

📘 2. Sukhari, A. & Villiers, C. (2018)

Title: The influence of integrated reporting on business model and strategy disclosures
Journal: Australian Accounting Review, Volume 29, Issue 4, pp. 708–725
DOI: https://doi.org/10.1111/auar.12241
Cited by: 45 articles

Abstract Summary:
This study explores how the adoption of integrated reporting has influenced the disclosure of business models and strategies by companies. It provides evidence from publicly listed companies that adopted the International Integrated Reporting Framework (IIRF).

Key Contributions:

  • Shows that integrated reporting leads to improved transparency in business model and strategic disclosures.

  • Discusses how IR encourages a more holistic and forward-looking approach to corporate communication.

  • Identifies challenges and variations in implementation across firms and sectors.

Conclusion

Dr. Aneetha Sukhari is eminently suitable for the Best Researcher Award. She demonstrates a rare blend of academic rigor, professional experience, innovative research in 4IR and digital auditing, leadership in curriculum transformation, and an impactful presence in both higher education and public sector governance.

 

Jari Kaivo-oja | Tech Innovations | Excellence in Research Award

Jari Kaivo-oja | Tech Innovations | Excellence in Research Award

Prof. Dr Jari Kaivo-oja, University of Turku, Finland

Prof. Dr. Jari Kaivo-oja is a globally recognized expert in foresight, innovation, and sustainable development. Currently serving as Research Director at the Finland Futures Research Centre (University of Turku) and Professor at Kazimieras Simonavičius University, Lithuania, he is widely respected for his multidisciplinary research impact. With more than two decades of academic leadership, Dr. Kaivo-oja has advanced the understanding of futures studies, digital transformation, and strategic sustainability. His work bridges theory and practice, offering critical insights for public policy, industry innovation, and academic strategy. He has been involved in European Commission initiatives and has significantly influenced regional innovation systems. Known for integrating socio-economic foresight with actionable frameworks, his thought leadership guides both academic and practical change. Dr. Kaivo-oja’s scholarship is evidenced by numerous high-impact publications, awards, and global collaborations. His visionary approach makes him a fitting and distinguished nominee for the Excellence in Research Award.

Publication Profile

Google Scholar

Orcid

Scopus

Education

Dr. Kaivo-oja’s academic foundation is built on a strong interdisciplinary background. He earned his Doctorate in Administrative Sciences from the University of Tampere, focusing on policy foresight and regional development. He also holds a Licentiate of Administrative Sciences, and a Master’s degree in Regional Science and International Economics, integrating economic theory with public administration and innovation management. Additionally, he completed specialized postgraduate studies in Development Studies, expanding his competence in global socio-economic challenges and policy dynamics. His academic training equips him to analyze complex systems involving governance, technology, and sustainability. His educational journey reflects a persistent pursuit of excellence and relevance, aligning academic theory with real-world impact. These diverse academic credentials form the backbone of his comprehensive and integrative research approach, enabling him to effectively lead interdisciplinary projects and provide strategic foresight to governments, academia, and industry alike.

Experience

With over 25 years of research and academic leadership, Prof. Kaivo-oja has contributed extensively to European and international science and policy communities. As Research Director at the Finland Futures Research Centre, he leads projects on foresight, green transition, and socio-economic transformation. He also serves as a Research Professor at Kazimieras Simonavičius University, Lithuania, and Adjunct Professor at the University of Vaasa, specializing in technology foresight and digitalization. Dr. Kaivo-oja has been a policy advisor and research partner for high-level institutions including the European Commission, Nordic Innovation Centre, OECD, and Finnish Innovation Fund (Sitra). He has successfully led numerous foresight studies, policy planning efforts, and scenario-based strategies. His collaborations span academia, public administration, and industry, promoting systems thinking and knowledge transfer. His ability to connect theoretical insights with practical implementation has made him a sought-after expert in strategic foresight and innovation systems.

Awards and Honors

Prof. Dr. Kaivo-oja has received numerous recognitions that underscore his outstanding research and scholarly impact. He was honored with the Promising Young Economist Scholarship early in his career, reflecting his innovative contributions to regional science. His scholarly publications have earned prestigious accolades such as the ISPIM Best Paper Award and the Emerald Literati Network Award for Excellence, recognizing exceptional academic publishing. In 2023, he received the AIRA (Academy of International Research Awards) honor for outstanding contributions in foresight and innovation. Additionally, he has been celebrated multiple times by the University of Turku with the Active Publisher Award, acknowledging consistent high-quality research output. These accolades reflect his sustained academic excellence, thought leadership, and international reputation. Each award represents a milestone in a career marked by interdisciplinary breakthroughs and practical applications of research, reinforcing his candidacy for the Excellence in Research Award.

Research Focus

Prof. Kaivo-oja’s research agenda bridges foresight studies, innovation management, and sustainable development. His work advances the understanding of long-term socio-economic transformation by integrating digitalization, ecological economics, and strategic planning. A central focus lies in developing tools and models for anticipatory governance, policy foresight, and resilient innovation systems. He applies these methodologies across areas such as climate change adaptation, regional competitiveness, and entrepreneurial ecosystems. With a systems-theoretical approach, his studies generate practical foresight for governments, cities, and corporations navigating uncertain futures. He is also a pioneer in combining weak signal analysis, Delphi methods, and scenario planning to guide strategic decisions in volatile environments. His integrative foresight methodologies support transitions to more sustainable, inclusive, and digitally driven societies. Prof. Kaivo-oja’s contributions continue to shape both academic discourse and real-world policies, positioning him at the forefront of transformative research with global relevance.

Publication Top Notes

Wild cards, weak signals and organisational improvisation

Human factors and ergonomics in manufacturing in the industry 4.0 context–A scoping review

Technological turbulence and greening of team creativity, product innovation, and human resource management: Implications for sustainability

Evaluating synergies and trade-offs among Sustainable Development Goals (SDGs): Explorative analyses of development paths in South Asia and Sub-Saharan Africa

The VUCA approach as a solution concept to corporate foresight challenges and global technological disruption

Linking analyses and environmental Kuznets curves for aggregated material flows in the EU

Relationships of the dimensions of sustainability as measured by the sustainable society index framework

 

Shuai Cao | Computer Science and Artificial Intelligence | Best Researcher Award

Shuai Cao | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Shuai Cao, School of Automation, Wuhan University of Technology, China

Dr. Shuai Cao is a dynamic researcher in the field of Computational Intelligence, currently pursuing graduate studies at Kunming University of Science and Technology and engaging in joint research at the Guangdong Academy of Sciences. With a focus on enhancing meta-heuristic algorithms, Dr. Cao has contributed significantly to engineering optimization, especially in AGV path planning and offset printing machine design. He is the mind behind the innovative Piranha Foraging Optimization Algorithm (PFOA) and co-author of several impactful SCI/EI publications. His expertise in algorithm improvement, machine learning, and pattern recognition is reflected through funded projects and hands-on roles in top research institutions like the South China Intelligent Robot Innovation Institute. With a remarkable blend of theoretical insight and practical application, Dr. Cao is a promising candidate for the Best Researcher Award, embodying academic rigor and real-world impact.

Publication Profile 

Orcid

Education

Dr. Shuai Cao’s academic journey began at Baotou Rare Earth High-tech No. 1 High School (2014–2017), where he laid a strong foundation in the sciences. He pursued his undergraduate degree in Mechanical and Electronic Engineering at Chongqing University of Humanities, Science and Technology (2017–2021), gaining critical insights into systems design and robotics. Since 2021, he has been a postgraduate student in Electronic Information at Kunming University of Science and Technology, further sharpening his expertise in computational theory and algorithmic systems. Complementing his studies, Dr. Cao has been engaged in a joint training program at the Intelligent Manufacturing Institute of the Guangdong Academy of Sciences since 2022. His coursework includes meta-heuristic algorithms, machine learning, digital signal processing, and pattern recognition, all of which feed directly into his research in Computational Intelligence and engineering optimization. His interdisciplinary background empowers him to tackle complex problems with innovative solutions.

Experience

Dr. Shuai Cao has held impactful roles in prestigious research institutions. From May 2022 to July 2023, he worked at the Intelligent Manufacturing Institute of the Guangdong Academy of Sciences, where he conducted advanced research on AGV handling robots. This included applying improved intelligent algorithms for path planning and optimization scheduling—work closely aligned with his master’s thesis. Since July 2023, he has been with the South China Intelligent Robot Innovation Institute, applying swarm intelligence methods to optimize the structure of high-speed multi-color offset printing machines. Dr. Cao’s work integrates theoretical research with industrial application, setting a benchmark for practical relevance. His involvement in key science and innovation projects also reflects his growing leadership in the field. From optimization algorithms to real-world robotic systems, Dr. Cao’s hands-on approach is shaping the future of intelligent manufacturing.

Awards and Honors

Dr. Shuai Cao has earned distinguished recognition in both academic and research circles for his innovative contributions to engineering optimization. As a lead researcher on multiple government-funded projects—including “Research and Application of Intelligent Scheduling of Mobile Collaborative Robot Clusters for Intelligent Manufacturing” (Project Code: 2130218003022) and the “Foshan Science and Technology Innovation Team Project” (Project Code: FS0AA-KJ919-4402-0060)—he has demonstrated expertise in bridging theory with practical industrial solutions. His pioneering research has been published in high-impact SCI and EI journals and conferences, such as IEEE ACCESS and the International Conference on Robotics and Automation Engineering (ICRAE). A highlight of his work is the development of the Piranha Foraging Optimization Algorithm (PFOA), which has garnered considerable attention in the optimization community for its novelty and effectiveness. Dr. Cao’s sustained dedication to cutting-edge innovation, along with his leadership in collaborative, cross-disciplinary projects, makes him a compelling nominee for the Best Researcher Award.

Research Focus

Dr. Shuai Cao’s research is centered on Computational Intelligence, specifically the improvement and engineering application of swarm intelligence algorithms. His work addresses key challenges in traditional optimization methods, such as premature convergence, low population diversity, and slow optimization speeds. He has successfully designed algorithms that overcome these limitations, notably the Piranha Foraging Optimization Algorithm (PFOA). His research extends to practical applications like automated guided vehicle (AGV) path planning, scheduling in smart factories, and mechanical structure optimization for high-speed printing systems. Through interdisciplinary methods, he combines machine learning, pattern recognition, and digital signal processing to bring theoretical advancements into real-world manufacturing challenges. With a clear aim of enhancing intelligent manufacturing systems, his research contributes to both academic knowledge and industrial innovation. His growing body of work reflects originality, technical rigor, and a strong alignment with modern engineering demands.

Publication Top Notes

 

Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

Eduardo Garcia Magraner | Engineering and Technology | Best Researcher Award

Dr Eduardo Garcia, Magraner Ford Motor Company, Spain

🔧 Dr. Eduardo García Magraner is a distinguished expert in industrial automation, manufacturing, and occupational safety. With a Ph.D. in Computer Engineering & Industrial Production (Cum Laude, CEU Cardenal Herrera, 2016) 🎓, he has led key roles at Ford Spain 🚗, from Electromechanical Maintenance to Manufacturing Manager. A Lean Six Sigma Black Belt ⚙️, he has earned multiple innovation and safety awards 🏆, including the Henry Ford Technical Award. A sought-after speaker 🎤 and researcher 📖, his contributions span Industry 4.0, predictive maintenance, and AI-driven efficiency. Passionate about smart factories 🏭, he bridges academia and industry for sustainable progress. 🌍

Publication Profile

Orcid

Academic and Professional Background 

Dr. Eduardo Garcia Magraner 🎓⚙️ is an expert in industrial engineering, automation, and occupational safety. His academic journey began with vocational training in electrical and telecommunications, followed by a Ph.D. in Computer Engineering and Industrial Production (2016) 🏅. Certified in Lean Six Sigma (Black Belt) and occupational risk prevention, he has mastered integrated management systems 🏭✅. With expertise in robotics 🤖, energy efficiency 🌱, and human resources 🤝, he has undertaken extensive additional training in automation and safety. His research explores machine deterioration and throughput optimization 📊. A leader in engineering and innovation, he continuously enhances industry standards 🚀.

Experience

Dr. Eduardo Garcia Magraner has built an impressive career at Ford S.L, starting as a First-Class Electromechanical Maintenance Operator (1990-2001) ⚙️. He advanced to Equipment Engineer (2001-2006) and later became a Maintenance Supervisor (2006) 🔩. His expertise led him to roles such as Senior Equipment Engineer in Maintenance & Automation (2007-2012) and Production Supervisor (2012) 🏭. He progressed to Manufacturing Manager for Body & Stamping (2014) and Champion of M.O.S. (2016) 🔧. As SPOC for Cyber Security (2019) and now Manufacturing Manager for Assembly & Battery Plants (2023), he continues shaping Ford’s production excellence ⚡🚗.

Awards and Recognitions 

Dr. Eduardo Garcia Magraner has been recognized for his outstanding contributions to safety, productivity, and innovation at Ford Spain 🚗🏆. His accolades include multiple Maximum Awards for enhancing press line efficiency (1997, 1999, 2002) and the prestigious Henry Ford Technical Award (2019) for IIoT-based predictive maintenance 🔧📊. He received honors for workplace safety (1995, 2010, 2012) and academic mentorship at the Polytechnic University of Valencia (2014) 🎓👏. His work in AI and cybersecurity earned global recognition (2019, 2020) 🤖🔐. A leader in industrial innovation, he continues to push the boundaries of engineering excellence 🚀⚙️.

Academic Impact 

Dr. Eduardo Garcia is a distinguished researcher in automation and smart manufacturing 🤖🏭. Beyond his groundbreaking research, he has delivered keynote presentations at global conferences, sharing insights on smart factories and AI-driven manufacturing 🔍🎤. His expertise has influenced industry advancements, making him a sought-after speaker in the field. In recognition of his contributions, he was honored with the prestigious CEU Ángel Herrera Prize in 2023 🏆🎓, further solidifying his reputation as a leading researcher. Through his work, Dr. Garcia continues to shape the future of industrial automation, bridging innovation and practical applications for smarter, more efficient production systems ⚙️🌍.

Presentation

Dr. Eduardo García is a distinguished expert in industrial robotics and Industry 4.0 🤖🏭, actively contributing to global conferences and forums. He has delivered impactful presentations at events like EVERii2020, PENTEO2020, and INNOVATION TALKS 2020, addressing smart manufacturing and supply chains 🚀📦. A sought-after speaker, he has shared insights at Advanced Factories, the Global Robot Expo, and the International Conference on Big Data, AI, and IoT 🌍📊. As a Master Professor at PEAKS BUSINESS SCHOOL, he fosters innovation in Industry 4.0. In 2023, he received the prestigious CEU Ángel Herrera Prize for outstanding research excellence 🏆📖.

Research Focus

Dr. Eduardo García Magraner’s research focuses on Industrial Internet of Things (IIoT) 🏭📡, smart manufacturing 🤖, and predictive maintenance 🔧⚙️ within Industry 4.0. His work includes real-time condition monitoring 🕒, virtual sensors 📊, and AI-driven automation 🤖🔍 to enhance efficiency in industrial environments. Key contributions involve sub-bottleneck detection 🚀, autonomous mobile warehouses 🚗🏭, and manufacturing process optimization 📈 using big data and simulation tools 📡💡. His research advances smart factory management 🏭💻, ensuring reliability, reducing downtime, and boosting productivity. His innovations drive next-gen industrial automation 🚀🏗️ for intelligent and self-optimizing manufacturing ecosystems.

Publication Top Notes

Shichang Chen | Tech Innovations | Best Researcher Award

Shichang Chen | Tech Innovations | Best Researcher Award

Dr Shichang Chen, Zhejiang Sci-Tech University, China

Dr. Shichang Chen 🎓🔬 is a distinguished researcher in polymer materials and engineering. He earned his Ph.D. from Zhejiang Sci-Tech University (2017) and completed postdoctoral research at Zhejiang University (2019-2022). Currently, he is a faculty member at Zhejiang Sci-Tech University. His innovations have led to large-scale reactor applications, with 40 invention patents (22 authorized) and transactions exceeding 100 million yuan 💡💰. He has led multiple national and provincial projects and published 40+ papers in top journals 📄📚. Recognized with prestigious awards, including Zhejiang Province’s High-level Talent Support Program (2024), Dr. Chen advances polymer science and engineering globally 🌍.

Publication Profile

Scopus

Education and Experience

Dr. Shichang Chen 🎓 is a dedicated researcher in polymer materials. He earned his Bachelor’s degree in Polymer Materials and Engineering from Yangtze University (2007-2011) 🏛️. He then pursued his Ph.D. in Textile Science and Engineering at Zhejiang Sci-Tech University (2011-2017) 🧵🔬. Following this, he completed a postdoctoral fellowship in Materials Science and Engineering at Zhejiang University (2019-2022) 🏅. Since 2017, he has been contributing to the Department of Polymer Materials at Zhejiang Sci-Tech University 📚🧪. His expertise spans polymer materials, textiles, and advanced material sciences, driving innovation in the field 🚀.

Research Funding & Projects

Dr. Shichang Chen 🎓🔬 has successfully secured and led multiple prestigious research projects, showcasing his expertise in scientific innovation. His achievements include securing 2 National Funds 🇨🇳, 2 Zhejiang Provincial Funds 🏅, and 10 Enterprise Projects 💼. He has actively contributed to key national research initiatives, including the 973 Program 🔍, National Key R&D Programs 🧪, and three strategic consulting research projects at the Chinese Academy of Engineering 🏛️. Dr. Chen’s dedication to advancing research and technological development continues to make a significant impact in his field. 🚀📚

Research Achievements 

Dr. Shichang Chen has made remarkable contributions to reactor applications for 10,000-ton and 1,000-ton production lines ⚙️🏭. He has declared 40 invention patents, with 22 authorized, and patent transactions exceeding 100 million yuan 💡💰. As a lead researcher, he has hosted 2 national funds, 2 Zhejiang Provincial funds, and 10 enterprise projects, while also playing a key role in national 973 and strategic consulting research projects 📊🔬. With a strong academic presence, he has published a book and 40 papers in top-tier journals like Macromolecules, focusing on polymers and chemical engineering 📖🧪.

Honor Award 

Dr. Shichang Chen 🎓 is a distinguished researcher recognized for his contributions to textile science. In April 2024, he was selected for the Zhejiang Province High-level Talent Support Program as a young top talent 🌟. The previous month, he joined the Zhejiang Academician Pair Young Talents Program 🏅. His excellence was also acknowledged in October 2021 when he was awarded the China Association for Science and Technology Youth Lifting Talent Project 🚀. Additionally, he serves as a Young Editorial Member for the EI Journal of Textile Research (December 2021) and Modern Textile Technology (January 2023) 📖🔬.

Research Focus

Dr. Shichang Chen’s research focuses on polymer engineering, mooring rope mechanics, and chemical process simulations 🔬⚙️. His work includes dynamic stiffness analysis of damaged polyester mooring ropes 🛳️, the mechanical behavior of aramid and polyester fibers under loading history ⚡, and falling film polymerization processes 🏭. He also explores numerical simulation of variable viscosity fluids 💻🔄 and waste PET depolymerization for recycling ♻️🧪. His studies contribute to marine engineering, textile chemistry, and sustainable polymer recycling, advancing both industrial applications and environmental sustainability 🌍🔄. His expertise spans mechanics, materials science, and chemical engineering 🏗️⚗️.

Publication Top Notes

Dynamic stiffness of full-scale damaged polyester mooring ropes

Effects of bedding-in loading history on mechanical behaviors of aramid HMPE and polyester mooring ropes

Process Simulation of falling film liquid-state polymerization of polyester

Numerical Simulation Strategy and Applications for Falling Film Flow with Variable Viscosity Fluids

Depolymerization of waste poly(ethylene terephthalate) into bis(2-hydroxyethyl) terephthalate: Catalytic glycolysis mechanism and kinetics

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Mona AbouEleaz, Mansoura University, Egypt

Assoc. Prof. Dr. Mona AbouEleaz 🌍⚙️ is a distinguished academic in Production Engineering at Mansoura University, Egypt. With a Ph.D. in Production Engineering 🎓, her expertise spans Smart Manufacturing, Industry 4.0, Lean Six Sigma, and Quality Improvement approaches 📊. She has held roles as a postdoctoral researcher in Canada 🇨🇦 and visiting lecturer in the UK 🇬🇧. As the Executive Director of the University Center for Career Development, she fosters student growth 🚀. Dr. AbouEleaz has published extensively 📚, supervised over 35 projects 🛠️, and actively contributes to academic accreditation and international collaborations 🌐. She enjoys reading, drawing, sports, and traveling ✈️🎨.

Publication Profile

Google Scholar

Education

Assoc. Prof. Dr. Mona AbouEleaz holds a Ph.D. in Production Engineering from Mansoura University, Egypt (2010–2015), with a thesis titled “Lean Six Sigma Practices into an Organizational Quality Management System” 🎯📊. She earned her M.Sc. in Industrial Engineering from Alexandria University (2005–2008), focusing on “Hierarchic Framework for Quality Improvement Approaches” ⚙️📈. Dr. AbouEleaz also holds a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors and ranking first in her class 🏅🎓. Her academic journey reflects a strong commitment to quality improvement, engineering excellence, and continuous innovation 🔍💡.

Experience

Assoc. Prof. Dr. Mona AbouEleaz is a distinguished academic with extensive experience in mechanical design and production engineering. She’s a lecturer at Mansoura University, Egypt 🇪🇬, and has served as a visiting lecturer at the University of Central Lancashire, UK 🇬🇧, and a postdoctoral researcher at the University of Calgary, Canada 🇨🇦. Dr. AbouEleaz excels in leadership roles, serving as Executive Director of the University Career Center and coordinating ERASMUS programs 🌍. Her contributions to strategic planning, quality assurance ✅, and international collaboration 🤝 have significantly advanced Mansoura University’s academic landscape.

Research Focus

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on advanced manufacturing processes, particularly in Wire Electrical Discharge Machining (WEDM) and material performance analysis. Her work explores surface roughness, material removal rates, and optimization of machining parameters for alloys like AISI304 and AISI316. She also delves into roundness measurement techniques, finite element analysis, and the impact of ERP systems on production efficiency. Additionally, her studies address supply chain performance and process improvement strategies in manufacturing. ⚙️🔩📊✨🔍

Research Interest

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on Smart Manufacturing and Industry 4.0 🚀🏭. She specializes in enhancing the performance of production and service systems through Quality Improvement approaches, including Lean Six Sigma 📊, optimization methods ⚙️, and Response Surface Methodology. Her expertise extends to Uncertainty Analysis, MCDM (Multi-Criteria Decision Making), and Decision Making Under Uncertainty 🤔. Dr. Mona also works on Measurement Uncertainty, Mechanical Testing 🧪, and utilizes tools like Minitab and ANSYS for statistical and engineering analysis. Her research aims to boost efficiency, precision, and decision-making in advanced manufacturing environments 🌟.

Publication Top Notes

Experimental investigation of surface roughness and material removal rate in wire EDM of stainless steel 304

Methods of roundness measurement: An experimental Comparative study

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

The Impact of Enterprise Resource Planning (ERP) Implementation on Performance of Firms: A Case to Support Production Process Improvement.

A critical review of supply chain performance evaluation

A study of drilling parameter optimization of functionally graded material steel–aluminum alloy using 3D finite element analysis

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

Types Using Texture Features and Neural Networks: A Robust Approach

Investigating the Impact of Cutting Parameters on Roundness and Circular Runout Using Signal-to-noise Ratio Analysis

 

Kaimin Wei | Computer Science and Artificial Intelligence | Best Researcher Award

Kaimin Wei | Computer Science and Artificial Intelligence | Best Researcher Award

Prof Kaimin Wei, Jinan University, China

Kaimin Wei is a full professor at the College of Information Science and Technology, Jinan University, China 🇨🇳. He earned his Ph.D. in Computer Science from Beihang University (2015), Master’s in Computer Application Technology from Zhengzhou University (2010), and Bachelor’s in Computer Science from Yuncheng University (2007) 🎓. A distinguished Young Pearl River Scholar 🌟, his research focuses on mobile computing, edge intelligence, and AI security 📱🤖🔒. Prof. Wei has published extensively in top journals and conferences, contributing to advancements in algorithm optimization and security techniques 📊📚.

Publication Profile

Orcid

Academic Background 

Prof. Kaimin Wei 🌟 holds a Ph.D. in Computer Science from Beihang University (2015) 🎓, a Master’s degree from Zhengzhou University (2010) 📚, and a Bachelor’s from Yuncheng University (2007) 🎯. His academic journey showcases dedication and excellence in the field of computer science 💻. Recognized for his outstanding achievements, he was honored as a Young Pearl River Scholar 🌊, reflecting his leadership potential and scholarly impact. Prof. Wei’s contributions to academia continue to inspire, highlighting his commitment to research, innovation, and education 🚀

Research Interests 

Prof. Kaimin Wei is a distinguished expert in Mobile Computing 📱, specializing in Edge Intelligence 🌐 and Artificial Intelligence Security 🔐. His research focuses on enhancing the efficiency and security of mobile technologies, leveraging cutting-edge edge intelligence to optimize data processing and real-time decision-making. Prof. Wei’s work in AI security ensures robust protection against emerging cyber threats, contributing to the development of safer, smarter digital ecosystems. His innovative approach bridges the gap between mobile computing and advanced AI applications, driving technological progress and shaping the future of secure, intelligent systems. 🚀🤖

Research Focus

Prof. Kaimin Wei’s research focuses on privacy-preserving technologies, federated learning, mobile crowdsensing, and cybersecurity 🔐📡. His work explores UAV crowdsensing with energy efficiency, gradient inversion attacks in federated learning without prior knowledge, and group task recommendations using neural collaborative approaches 🤖✨. He also investigates secure device pairing through acceleration-based methods with visual tracking and develops robust defense mechanisms against adversarial attacks using feature purification networks 🛡️📊. Prof. Wei’s interdisciplinary research blends Internet of Things (IoT), machine learning, and security protocols to enhance data privacy and system resilience 🌍🔍.

Publication Top Notes