Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

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Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

Taylor's University | Malaysia

Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran is an accomplished researcher and academic specializing in Artificial Intelligence, with a strong focus on agent-based systems, intelligent autonomous systems, machine learning applications, smart energy systems, and climate change–related digital intelligence. Her scholarly impact is reflected in an h-index of 16, with 70 research documents generating 899 citations across international indexing platforms, demonstrating sustained influence in AI-driven and interdisciplinary research domains. Her work spans collective intelligence, knowledge transfer models, data mining, educational technologies, and intelligent digitalization, with publications appearing in IEEE conferences, international journals, and Springer book chapters. In addition to academic publishing, she has led significant intellectual property initiatives, including a granted patent on cooperative control systems for unmanned aerial platforms, utility innovations in autonomous multi-UAV task allocation, and copyrighted micro-credential programs. Her research excellence has been recognized through multiple prestigious awards, including international science communication accolades, industry research honors, and selection for global digital leadership programs. With over two decades of academic engagement and active research contributions, her profile reflects a strong integration of theoretical innovation, applied intelligence systems, and impactful scholarly dissemination across AI, energy, education, and digital transformation domains.

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Featured Publications

Exploring the Roles of Agents and Multi-Agent in Improving Mobile Ad Hoc Networks
– International Symposium on Agents, Multi-Agent Systems and Robotics, ISAMSR, 2021

 

Haiwei Wu | Engineering | Best Researcher Award

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Prof. Dr. Haiwei Wu | Engineering | Best Researcher Award

Jilin Agricultural University | China

Prof. Dr. Haiwei Wu is an emerging multidisciplinary researcher whose contributions span energy systems, machine learning, spectroscopy, and intelligent diagnostics. His recent research focuses on advanced computational methods applied to energy storage and electric vehicle systems, including the development of an attention-based multi-feature fusion physics-informed neural network for accurate state-of-health estimation of lithium-ion batteries and the application of queuing-theoretic models for sustainable EV charging infrastructure planning. Beyond energy research, he has contributed significantly to the use of mid-infrared spectroscopy combined with machine learning and support vector machines for the authentication and identification of biological and agricultural products, reflecting strong capabilities in analytical modeling and pattern recognition. His publications from 2022 to 2025 highlight expertise in spectral analysis, counterfeit detection, and quality assessment. In addition, he has explored applications of improved YOLOv8 for mechanical part inspection and contributed to research on task-driven cooperative inquiry learning in education. His innovative work is supported by several patents related to electric vehicle charging technologies, demonstrating a commitment to advancing practical, technology-driven solutions across sectors.

Profile : Scopus | Orcid

Featured Publications

Wu, H., Liu, J., Wang, Z., & Li, X. (2025). An attention-based multi-feature fusion physics-informed neural network for state-of-health estimation of lithium-ion batteries. Energies.

Wang, Z., Zou, J., Tu, J., Li, X., Liu, J., & Wu, H. (2025). Towards sustainable EV infrastructure: Site selection and capacity planning with charger type differentiation and queuing-theoretic modeling. World Electric Vehicle Journal.

He, T., Kaimin, W., & Wu, H. (2025). Research on the construction and implementation of a task-driven cooperative inquiry learning model for postgraduate students majoring in music education. Chinese Music Education, (05), 47–53.

Yang, C.-E., Wu, H., Yuan, Y., et al. (2025). Efficient recognition of plum blossom antler hats and red deer antler hats based on support vector machine and mid-infrared spectroscopy. Journal of Jilin Agricultural University, 1–7.

Yang, C.-E., Su, L., Feng, W.-Z., Zhou, J.-Y., Wu, H.-W., Yuan, Y.-M., & Wang, Q. (2023). Identification of Pleurotus ostreatus from different producing areas based on mid-infrared spectroscopy and machine learning. Spectroscopy and Spectral Analysis.

Yang, C.-E., Su, L., Feng, W., et al. (2023). Identification of Pleurotus ostreatus from different origins by mid-infrared spectroscopy combined with machine learning. Spectroscopy and Spectral Analysis, 43(02), 577–582.

Yang, C.-E., Wu, H.-W., Yang, Y., Su, L., Yuan, Y.-M., Liu, H., Zhang, A.-W., & Song, Z.-Y. (2022). A model for the identification of counterfeited and adulterated Sika deer antler cap powder based on mid-infrared spectroscopy and support vector machines. Spectroscopy and Spectral Analysis.

Yang, C.-E., Wu, H., Yang, Y., et al. (2022). Identification model of counterfeiting and adulteration of plum blossom antler cap powder based on mid-infrared spectroscopy and support vector machine. Spectroscopy and Spectral Analysis, 42(08), 2359–2365.

Rocío Mingorance | Chemical Engineering | Best Research Award

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Mrs. Rocío Mingorance | Chemical Engineering | Best Research Award

Ikerlan Technology Research Center | Spain

Author Profile

Orcid

Early Academic Pursuits

Mrs. Rocío Mingorance began her academic journey with a strong foundation in chemical engineering from the University of Granada, where she developed expertise in process engineering and industrial systems. Her educational path expanded with a master’s degree in industrial maintenance engineering from the University of Huelva, which enriched her technical and managerial skills in plant operations and system reliability. Continuing her pursuit of advanced research, she enrolled in a doctoral program in naval and industrial engineering at the University of Coruña in collaboration with the Ikerlan Technology Research Center, where her focus lies on the development of digital twins for process plants.

Professional Endeavors

Her professional career reflects a steady progression through diverse engineering and industrial roles. Beginning with junior engineering positions in thermosolar power plants, she gained hands-on experience in thermal balances, plant operations, and preventive maintenance. Over the years, she expanded her portfolio through roles in research, consultancy, and control room operations, working with leading companies such as Abengoa, Birchman Consulting, Grupo Cosentino, and Marquesado Solar. Currently, she serves as a thermal engineer and algorithms manager at Sunntics, where she leads the design and implementation of advanced thermal control systems to optimize concentrated solar power plants.

Contributions and Research Focus

Mrs. Mingorance’s research and technical contributions have centered on advancing renewable energy technologies, thermal engineering, and digital solutions for industrial systems. Her expertise in developing and applying thermal models for heat and mass transfer has contributed significantly to improving system performance under standard and unexpected conditions. She has also pioneered work on digital twins, offering innovative methodologies to enhance operational strategies and resilience in manufacturing and energy plants. Her publications highlight her contribution to bridging traditional engineering with modern computational tools.

Accolades and Recognition

Her research and professional achievements have been recognized through publications in reputed international journals and conferences. Notably, her work on the evolution of digital twin solutions was presented at the IEEE Smart World Congress, reflecting her standing in the global research community. In addition, her continued contributions to the field of industrial and thermal engineering have positioned her as a promising scholar and professional in advancing sustainable and technologically driven energy solutions.

Impact and Influence

Through her interdisciplinary expertise, Mrs. Mingorance has influenced both industrial practices and academic research. Her ability to integrate advanced modeling techniques with real-world plant operations has enhanced the reliability, efficiency, and safety of thermal and renewable energy systems. Her contributions extend beyond direct applications, inspiring new approaches in engineering education, collaborative industry research, and the adoption of digital innovations in traditional sectors.

Legacy and Future Contributions

Looking forward, Mrs. Mingorance’s ongoing doctoral research in digital twins for process plants is expected to leave a lasting legacy in the field of industrial and naval engineering. By combining her strong background in thermal sciences with cutting-edge computational techniques, she is poised to contribute transformative solutions that support sustainability, automation, and resilience in complex industrial systems. Her career trajectory suggests continued advancements that will influence both academia and industry in the years to come.

Publications

  • Title: A methodology leveraging digital twins to enhance the operational strategy of manufacturing plants in unexpected scenarios

  • Authors: Rocío Mingorance, Diego Crespo Pereira, Jone Uribetxebarria, Urko Leturiondo

  • Journal: Results in Engineering

  • Year: 2025

  • Title: Evolution of Digital Twin solutions in the manufacturing industry

  • Authors: Rocío Mingorance, Diego Crespo Pereira, Jone Uribetxebarria, Urko Leturiondo

  • Journal/Conference: Proceedings of the 2023 IEEE Smart World Congress (SWC)

  • Year: 2023

Conclusion

Mrs. Rocío Mingorance exemplifies the synergy between engineering practice and academic research. With a solid educational foundation, diverse professional experiences, and impactful research contributions, she stands as a leading figure in renewable energy and digital innovation. Her work continues to shape sustainable industrial practices and drive the integration of advanced technologies in energy systems, reflecting a career dedicated to both excellence and progress.

 

Zhigang Chen | Computer Science | Best Researcher Award

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Mr. Zhigang Chen | Computer Science | Best Researcher Award

Central South University | China

Author Profile

Scopus

🎓 Early Academic Pursuits

Mr. Zhigang Chen embarked on his academic path in the field of Computer Science and Technology, eventually specializing in Computer Engineering. His formative education and early career reflect a strong focus on engineering fundamentals, technical proficiency, and emerging technologies.

🏢 Professional Endeavors

Mr. Chen currently serves as a Professor at the School of Computer Science, Central South University (CSU) in Changsha, Hunan Province, China. While he does not hold an administrative role, his professional impact is rooted in his extensive academic and instructional contributions. His core subject area lies in Computer Science and Engineering, with a specialized focus on the Internet of Things (IoT) and Distributed Systems.

🔍 Contributions and Research Focus

Mr. Chen’s research has significantly advanced fields such as IoT infrastructure, networked computing, and distributed teaching platforms. His academic influence also extends into curriculum development and instructional strategy, particularly in integrating practical and forward-looking technologies into the computer science education framework. His work fosters a solid technical foundation among students while equipping them with knowledge of future-facing innovations.

🏆 Accolades and Recognition

Mr. Chen has received national-level recognition for his contributions to software engineering education and technological instruction. His efforts have been pivotal in elevating the quality of teaching and research output at CSU, and he has played a role in formulating standards for curriculum structure and teaching methodologies in computer-related disciplines. He has been nominated to serve as Deputy Director of the Teaching Steering Committee for Software Engineering, a role that acknowledges both his leadership and subject matter expertise.

🌍 Impact and Influence

By actively contributing to the growth of IoT and distributed computing studies in China, Mr. Chen has helped shape a generation of computer science professionals. His work bridges engineering theory and applied innovation, with an impact visible in both academic circles and industrial collaboration. His guidance in curriculum reform and digital education platforms has influenced regional and national approaches to computer science education.

🌟 Legacy and Future Contributions

Mr. Zhigang Chen’s career is a testament to long-term dedication to educational excellence, technical innovation, and mentorship in engineering disciplines. As a thought leader in software engineering and emerging network technologies, he is poised to continue influencing the development of smart educational systems and integrated IoT frameworks. His future contributions will likely emphasize interdisciplinary learning environments, preparing students for the rapidly evolving technological landscape, and continuing to shape national education policy in computing.

Publications

📄SQID: A Deep Learning and Network Design Synergy for Next-Generation IoT Resource Allocation Management
Authors: A.M. Ibrahim, Ali M.A.; Z. Chen, Zhigang; Y. Wang, Yijie; H.A. Eljailany, Hala A.
Journal: Computer Communications
Year: 2025

📄 UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors
Authors: Y. Xu, Yi; Z. Chen, Zhigang; M. Zhao, Ming; J. Liu, Jiaqi; N. Kato, Nei
Journal: IEEE Open Journal of the Computer Society
Year: 2025

📄Parallel Support Vector Machine Algorithm Based on Relative Entropy and Cosine Similarity
Authors: Y. Mao, Yinmin; B. Quo, Binbin; J. Yi, Jianbing; Z. Chen, Zhigang
Journal: Computer Integrated Manufacturing Systems (CIMS)
Year: 2024

📄 Advancing 6G-IoT Networks: Willow Catkin Packet Transmission Scheduling with AI and Bayesian Game-Theoretic Approach-Based Resource Allocation
Authors: A.M. Ibrahim, Ali M.A.; Z. Chen, Zhigang; H.A. Eljailany, Hala A.; K.A. Abouda, Khalid A.; W.M. Idress, Wail M.
Journal: Internet of Things (Netherlands)
Year: 2024

Aman Bin Jantan | Computer Science | Best Researcher Award

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Assoc. Prof. Dr. Aman Bin Jantan | Computer Science | Best Researcher Award

Universiti Sains Malaysia | Malaysia

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits 🎓

Assoc. Prof. Dr. Aman Bin Jantan's academic journey is rooted in a strong foundation in computer science. He earned his Bachelor’s degree (1993) and Master’s in Computer Science (AI) (1996) from Universiti Sains Malaysia (USM), where he laid the groundwork for his expertise in artificial intelligence and software engineering. His research on FrameLog Compiler Construction during his MSc reflected an early inclination toward programming languages and AI-driven system development. His PhD in Software Engineering (2002) from USM further solidified his prowess, focusing on the redefinition of expert system development languages—a groundbreaking contribution to the field.

Professional Endeavors 🏢

Dr. Aman has had an extensive career in both academia and industry. His professional journey began as a Research Officer at USM’s AI Lab in 1993, followed by roles as a Graduate Assistant and Lecturer. His passion for education saw him taking up lecturing positions at Stamford College, UiTM Shah Alam, and USM. Apart from academia, he ventured into the tech industry by establishing his own ICT business, offering software solutions, IT services, and computer training. Since 2002, he has been an integral part of USM’s School of Computer Sciences, where he now serves as an Associate Professor.

Contributions and Research Focus 🔬

Dr. Aman’s research spans across multiple domains, including:
Information Security – Intrusion Detection, Cyberwarfare, Encryption, Steganography, and Electronic Forensics.
Software Engineering – Fault Tolerance, Component-Based System Development, and Software Quality Assurance.
Artificial Intelligence – Machine Learning, Neuro-Fuzzy Systems, and Expert Systems.

His work on network security, intrusion detection, and machine learning-driven cybersecurity solutions has significantly impacted the field. His innovative Honeybee Intelligent Model for Network Zero-Day Attack Detection is a notable contribution that has been widely recognized.

Accolades and Recognition 🏆

Dr. Aman’s excellence in teaching and research has earned him multiple Excellent Service Awards (2007, 2011, 2020). His publications in high-impact journals, including those on financial crime prevention, AI-driven profiling, and cybersecurity measures, have established him as a thought leader in his domain.

Impact and Influence 🌍

As an academic and researcher, Dr. Aman has shaped the next generation of cybersecurity experts and software engineers. His workshops, mentorship, and leadership in the field of information security have influenced policy-making and corporate cybersecurity strategies. His Security and Forensic Research Group Laboratory at USM is a hub for cutting-edge research in cyber defense technologies.

Legacy and Future Contributions 🚀

Dr. Aman’s contributions to artificial intelligence, cybersecurity, and software engineering will continue to shape the landscape of digital security and computing. His commitment to advancing cybersecurity education and research ensures that future professionals will be well-equipped to tackle emerging threats in an increasingly digital world. With a strong portfolio of research, industry collaborations, and mentorship, Dr. Aman remains a driving force in the evolution of AI-driven security solutions. His future work is expected to redefine the intersection of AI and cybersecurity, making digital systems safer and more resilient.

Publications

  • 📄 Enhancing Neighborhood-Based Co-Clustering Contrastive Learning for Multi-Entity Recommendation

    • Authors: J. Liao, Juan; A.B. Jantan, Aman Bin; Z. Liu, Zhe

    • Journal: Engineering Applications of Artificial Intelligence

    • Year: 2025

  • 📄 Digital Forensic Investigation on Social Media Platforms: A Survey on Emerging Machine Learning Approaches

    • Authors: A.A. Kazaure, Abdullahi Aminu; A.B. Jantan, Aman Bin; M.N. Yusoff, Mohd Najwadi

    • Journal: Journal of Information Science Theory and Practice

    • Year: 2024

  • 📄 Digital Forensics Investigation Approaches in Mitigating Cybercrimes: A Review

    • Authors: A.A. Kazaure, Abdullahi Aminu; A.B. Jantan, Aman Bin; M.N. Yusoff, Mohd Najwadi

    • Journal: Journal of Information Science Theory and Practice

    • Year: 2023

  • 📄 A Machine Learning Classification Approach to Detect TLS-Based Malware Using Entropy-Based Flow Set Features (Open Access)

    • Authors: K. Keshkeh, Kinan; A.B. Jantan, Aman Bin; K. Alieyan, Kamal

    • Journal: Journal of Information and Communication Technology

    • Year: 2022

  • 📄 Multi-Behavior RFM Model Based on Improved SOM Neural Network Algorithm for Customer Segmentation (Open Access)

    • Authors: J. Liao, Juan; A.B. Jantan, Aman Bin; Y. Ruan, Yunfei; C. Zhou, Changmin

    • Journal: IEEE Access

    • Year: 2022

 

Industry Impact Award

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Introduction

The Industry Impact Award is a prestigious recognition that honors individuals, teams, and organizations that have made significant contributions to industrial growth, technological advancement, and economic development. This award is dedicated to celebrating research, innovations, and projects that have transformed industries, created sustainable solutions, and driven large-scale improvements in efficiency, productivity, and market competitiveness. With industries constantly evolving due to new technological breakthroughs, policy changes, and sustainability demands, the Industry Impact Award recognizes those who pioneer change and set new benchmarks for excellence in various industrial sectors.

Award Overview

The Industry Impact Award is conferred upon those whose work has had a demonstrable and lasting effect on a specific industry or across multiple industries. The award honors initiatives that have enhanced operational processes, introduced innovative technologies, influenced market dynamics, or contributed to sustainable industrial practices. It acknowledges the collaborative spirit of research institutions, corporate leaders, engineers, and policymakers who have played a crucial role in shaping modern industries. By providing this recognition, the award serves as a platform to encourage further research and implementation of groundbreaking industrial solutions that address present and future challenges.

Eligibility

This award is open to researchers, engineers, industry professionals, academic institutions, and corporate entities that have played a pivotal role in industrial development. Eligible candidates must have undertaken projects or research that have demonstrated tangible impacts in areas such as automation, digital transformation, supply chain efficiency, environmental sustainability, energy conservation, or any other significant industrial domain. The award is open to national and international applicants from all industry sectors, including manufacturing, technology, energy, healthcare, and transportation.

Evaluation Criteria

The selection process for the Industry Impact Award is based on several critical criteria. The innovation and originality of the work are thoroughly evaluated, ensuring that the nominated project introduces new methodologies, technologies, or practices that push industrial boundaries. The measurable impact of the work on industry performance, including increased efficiency, cost savings, or market transformation, is a crucial determinant. Sustainability and long-term benefits are also taken into account, ensuring that the project has a lasting influence on industrial practices. Furthermore, widespread industry adoption, collaborations, and endorsements from key stakeholders enhance the overall evaluation.

Submission Guidelines

Applicants must submit a detailed report that outlines the scope, objectives, methodology, and results of their industrial contributions. The submission should include a research summary explaining how the project or initiative has positively influenced an industry or multiple sectors. Supporting documentation, such as technical papers, patents, case studies, and endorsements from industry leaders, strengthens the submission. A professional biography of the applicant or team is required, detailing their expertise and contributions to industrial research and innovation. Video presentations, real-world implementation reports, and media coverage can also be included to reinforce the significance of the project. All applications must be submitted within the specified deadline to be considered for the award.

Recognition

Winners of the Industry Impact Award receive a prestigious trophy, a certificate of recognition, and widespread acknowledgment through digital and print media. The award brings heightened visibility within the industrial and research community, allowing recipients to showcase their contributions on a global stage. Winners may be invited to speak at industry conferences, workshops, and panel discussions where they can present their findings and influence further industrial advancements. This recognition also enhances career opportunities, attracts potential investors, and fosters new research collaborations, ensuring continued innovation in the respective field.

Community Impact

The Industry Impact Award highlights the broader societal and economic benefits of industrial advancements. By recognizing groundbreaking research and innovation, the award promotes knowledge-sharing and encourages future endeavors that prioritize sustainability, workforce development, and industry-wide progress. The award’s recipients serve as role models who inspire the next generation of researchers, entrepreneurs, and industrial leaders to take on challenges that improve both business and community well-being. Through this award, industries are encouraged to adopt best practices that enhance efficiency, reduce environmental footprints, and promote ethical and responsible growth.

Biography

Applicants must submit a comprehensive biography detailing their academic background, professional achievements, and key contributions to industrial research and development. The biography should reflect the applicant’s dedication, expertise, and long-term vision for industrial transformation. If the submission is made on behalf of a team, the roles and contributions of each member should be clearly outlined. This information helps the selection committee understand the experience and collaborative efforts behind the nominated project or research work.

Abstract

A concise and well-structured abstract summarizing the research or industrial contribution must be submitted. The abstract should clearly define the industrial problem addressed, the objectives of the project, key methodologies used, and the impact achieved. It should also emphasize how the project contributes to long-term industrial improvements and technological advancements. The abstract is a crucial element of the submission as it provides the judges with an overview of the work and its significance in the industrial landscape.

Supporting Files

Applicants are encouraged to submit relevant supporting files that validate the effectiveness and real-world impact of their work. These may include research papers, patents, industrial case studies, endorsements from key stakeholders, media coverage, and technical reports. Videos demonstrating the implementation of the project, testimonials from industry partners, and third-party evaluations further strengthen the submission. High-quality supporting materials enhance the credibility of the nomination and provide concrete evidence of the project's success and impact on industrial progress.

 

 

 

Best Industrial Research Award

Published on by Book of Award

Introduction

The Best Industrial Research Award is a prestigious honor designed to recognize outstanding research contributions that drive industrial advancements, technological improvements, and economic growth. Industrial research plays a crucial role in bridging the gap between scientific discoveries and real-world applications, enabling industries to innovate, optimize processes, and develop cutting-edge products. This award aims to celebrate researchers, engineers, and institutions that have made significant contributions to industrial research, fostering innovation and sustainable development across various sectors.

Award Overview

The Best Industrial Research Award is an annual recognition granted to individuals, research teams, or organizations that have demonstrated excellence in industrial research. This award highlights groundbreaking work that has led to transformative advancements in manufacturing, engineering, automation, materials science, and other industry-driven fields. By acknowledging the impact of applied research, the award serves as an inspiration for scientists and engineers to continue pushing the boundaries of innovation, contributing to the progress of industries and economies worldwide.

Eligibility

The award is open to researchers, industrial professionals, research institutions, and organizations engaged in industrial research. Eligible candidates must have conducted research that has been successfully implemented or has shown strong potential for industrial application. The research should address critical industrial challenges, enhance efficiency, or introduce innovative processes and technologies. The competition is open to global applicants, as industrial research is a key driver of economic and technological development across various regions and sectors.

Evaluation Criteria

The evaluation process for the Best Industrial Research Award is based on several key factors. The originality and innovation of the research are assessed to determine its novelty and contribution to industrial advancements. Practical applicability is another crucial criterion, ensuring that the research can be implemented to solve real-world industrial problems. The overall impact on industry efficiency, sustainability, and productivity is taken into account, along with scalability and long-term benefits. Additionally, the research’s recognition in the form of patents, industry adoption, or scientific publications is considered during the evaluation.

Submission Guidelines

Applicants must submit a detailed research dossier that outlines the purpose, methodology, results, and industrial impact of their work. A research summary highlighting key findings and industrial applications should be included. Supporting documents such as patents, published papers, technical reports, and case studies demonstrating the research’s implementation are required. A professional biography detailing the applicant’s background, expertise, and contributions to industrial research is mandatory. Video demonstrations, testimonials from industry partners, and third-party evaluations can further strengthen the application. All submissions must be completed before the specified deadline to be considered for evaluation.

Recognition

Winners of the Best Industrial Research Award receive a prestigious certificate, an award trophy, and extensive recognition through press releases, research journals, and digital media. The award provides an excellent opportunity for recipients to showcase their work to industry leaders, policymakers, and potential investors. Winners may be invited to present their research at international conferences, industrial forums, and specialized research events. The recognition associated with this award enhances the credibility of the researcher or institution, opening doors to new collaborations, funding opportunities, and future research endeavors.

Community Impact

Industrial research has a profound impact on economies, industries, and societies. The Best Industrial Research Award highlights innovations that enhance productivity, promote sustainability, and improve industrial operations. By acknowledging and promoting excellence in industrial research, the award encourages more researchers and organizations to pursue impactful studies that benefit both industry and society. The award fosters collaboration between academic institutions and industrial sectors, promoting the transfer of knowledge and the development of technologies that address global challenges.

Biography

Applicants are required to submit a comprehensive biography detailing their academic and professional journey, key research accomplishments, and contributions to industrial research. The biography should highlight major milestones, challenges overcome, and the vision behind their research efforts. For team submissions, information about each member’s role and expertise should be provided. The biography serves as a vital component of the application, giving insight into the applicant’s dedication, expertise, and long-term goals in industrial research.

Abstract

A well-structured abstract summarizing the research and its industrial significance is required. The abstract should concisely explain the problem addressed, research objectives, methodology, and key findings. The industrial relevance and potential impact of the research should also be emphasized. A strong abstract allows the selection committee to quickly assess the value of the research and its contribution to industrial progress. Applicants should ensure that their abstract effectively communicates the significance and potential of their work in a clear and engaging manner.

Supporting Files

To enhance their application, applicants must provide relevant supporting documents that validate the impact of their research. These may include patents, industry reports, research publications, implementation case studies, and certifications. Testimonials from industry professionals, company endorsements, and video demonstrations of the research in action can further strengthen the submission. High-quality supporting materials provide concrete evidence of the research’s success and its significance in advancing industrial processes, technologies, and innovations.

 

 

 

Best Innovator Award

Published on by Book of Award

Introduction

The Best Innovator Award is a distinguished recognition designed to honor individuals who have demonstrated exceptional creativity, ingenuity, and impact through groundbreaking innovations. Innovation drives progress across various fields, and this award acknowledges those who have significantly contributed to technological advancements, scientific breakthroughs, or transformative ideas. By recognizing outstanding innovators, the award aims to foster a culture of creativity, problem-solving, and forward-thinking approaches that shape the future of industries and societies.

Award Overview

The Best Innovator Award is conferred annually to individuals or teams who have developed groundbreaking innovations that demonstrate originality, feasibility, and societal impact. The award spans multiple disciplines, including science, engineering, medicine, information technology, business, and social entrepreneurship. It serves as a platform to showcase pioneering work, highlighting the importance of innovation in driving progress and addressing global challenges. The award not only honors past achievements but also encourages continued exploration and development of new ideas that have the potential to create a lasting impact on the world.

Eligibility

The Best Innovator Award is open to individuals, research teams, startups, and organizations that have introduced an innovation with a demonstrable impact. Nominees must provide substantial evidence of their innovation’s success, application, and influence within their field. Both early-career and experienced professionals are eligible, as long as their work showcases significant ingenuity and advancement. Innovations must be original, ethically developed, and capable of being implemented for real-world benefits. The award is open to international applicants, recognizing the global nature of innovation and its widespread impact.

Evaluation Criteria

The selection of the Best Innovator Award is based on a thorough evaluation of the innovation’s originality, significance, and effectiveness. The key criteria include the novelty of the idea, technological or conceptual advancements, practical applications, and societal contributions. Judges assess the problem-solving aspect of the innovation, measuring its effectiveness in addressing critical challenges within its respective field. Market readiness, scalability, and sustainability are also considered, ensuring that the innovation holds long-term potential for industry and community development. The impact of the innovation on improving lives, industries, or research is weighed heavily in the final decision.

Submission Guidelines

Applicants must submit a comprehensive nomination package detailing their innovation, its development process, and its impact. The submission should include a detailed description of the innovation, supporting technical documents, and relevant images or videos demonstrating its functionality. A personal or team biography, outlining the background of the innovator(s) and their journey in developing the innovation, is required. Applicants must provide verifiable data and case studies showcasing the innovation’s effectiveness. Supporting documents such as patents, research publications, testimonials, and industry recognition strengthen the application. The deadline for submissions is strictly enforced, and incomplete applications will not be considered.

Recognition

Winners of the Best Innovator Award receive a prestigious certificate, a trophy commemorating their achievement, and public recognition through press releases, academic journals, and social media. The award provides international exposure, allowing winners to connect with investors, research institutions, and industry leaders. Recipients may be invited to present their innovations at conferences, global summits, and innovation expos. This recognition fosters networking opportunities and potential collaborations that can further develop and scale the innovation. The award also enhances the credibility and career prospects of the winners, opening doors to new funding, research grants, and professional opportunities.

Community Impact

Innovation plays a crucial role in shaping the future of societies and industries, and the Best Innovator Award seeks to highlight innovations that have made a tangible difference. By recognizing groundbreaking work, the award inspires the next generation of thinkers, entrepreneurs, and researchers to push the boundaries of knowledge and technology. The community benefits from exposure to revolutionary ideas that can drive economic growth, improve quality of life, and solve pressing global issues. The award encourages a culture of creativity and collaboration, fostering an environment where innovative solutions thrive and generate meaningful change.

Biography

Applicants must submit a well-documented biography that outlines their academic and professional background, key achievements, and journey in innovation. This section should highlight major milestones, challenges overcome, and the motivation behind their work. The biography should reflect the innovator’s dedication to research, experimentation, and problem-solving. For team applications, details of each member’s role and contributions should be included. The biography provides judges with insights into the passion, perseverance, and expertise of the nominee, helping to contextualize their innovation and its impact.

Abstract

A clear and concise abstract summarizing the nominated innovation is required. This should include the problem statement, objectives, methodology, and key findings. The abstract should also highlight why the innovation is unique and how it contributes to advancements in its field. A well-structured abstract enhances the application by providing a snapshot of the innovation’s significance, enabling the selection committee to assess its merit quickly. Applicants should ensure the abstract is engaging, informative, and reflective of the broader implications of their work.

Supporting Files

To strengthen their submission, applicants should provide relevant supporting materials that verify their innovation’s success and impact. These may include patents, research papers, prototype demonstrations, media coverage, testimonials from industry experts, and letters of endorsement from academic institutions or professional bodies. Videos showcasing the innovation in action, graphical representations, and data-driven analyses further enhance the application. High-quality supporting documents help establish the credibility of the innovation and provide compelling evidence of its effectiveness and significance.

 

 

 

Emmanuel Ajah | Business, Management and Accounting | Editorial Board Member

Published on by Book of Award

Dr. Emmanuel Ajah | Business, Management and Accounting | Editorial Board Member

Nigeria Communication Satellite Limited | Nigeria

Author Profile

Scopus

🎓 Early Academic Pursuits

Dr. Emmanuel Ajah's academic journey is marked by a strong foundation in engineering and information technology. His passion for digital business development led him to earn a Doctor of Philosophy (PhD) in Information Systems from the American University of Nigeria. His thesis, titled "Investigating Digital Platform Boundary Resource Mechanisms Fostering the Process of Digital Entrepreneurship Development in Nigeria: A Critical Realist Perspective," explored the underlying mechanisms driving digital start-ups in Nigeria. His academic excellence earned him The Outstanding Doctoral Student Award in recognition of his research contributions.

His educational background spans multiple disciplines, including a Master of Science (MSc.) in Information Technology, an Executive MBA, and a Postgraduate Diploma in Electrical Engineering. His early studies in Electronics and Telecommunication Engineering laid the groundwork for his future expertise in digital entrepreneurship and business technology.

🌟 Professional Endeavors

Dr. Ajah's professional career has been diverse and impactful. He currently serves as a Technical Pre-Sales Engineer at Nigeria Communication Satellite Limited, where he collaborates with sales teams to promote technological products and solutions. His role involves developing proposals, conducting presentations, and assisting clients in integrating digital technologies into their operations.

Additionally, Dr. Ajah has contributed to national security and defense through his role as a Resource Fellow at the Nigeria Airforce and Defence Space Administration. His expertise in Communication Satellite Applications and Operations has been instrumental in training military personnel on space technology applications.

📚 Contributions and Research Focus

Dr. Ajah’s research is at the intersection of digital entrepreneurship, emerging technologies, and business model innovation. His work examines the role of AI, Blockchain, Cloud Computing, and Big Data Analytics in transforming digital business landscapes. His notable research contributions include studies on:

  • The influence of digital platform boundary resources on third-party application developers.
  • Factors driving digital start-up survival in emerging markets.
  • The evolving role of digital technology affordances in reshaping entrepreneurship.

His scholarly work has been published in prestigious journals such as Digital Business, The African Journal of Information Systems, and the Journal of Electronic Business & Digital Economics. His upcoming publication in The Electronic Journal of Information Systems in Developing Countries (EJISDC) further solidifies his position as a thought leader in digital business research.

🏆 Accolades and Recognition

Dr. Ajah’s research excellence has earned him several prestigious recognitions. His paper, "Mechanisms Fostering Tech Start-up Emergence in the Nigerian Digital Ecosystem," was ranked among the Top 25% Best Papers at the Americas Conference on Information Systems (AMCIS 2021). His contributions to digital entrepreneurship development have been widely acknowledged by leading academic and industry forums.

🎬 Impact and Influence

Beyond academia, Dr. Ajah has made significant contributions to the practical development of Nigeria’s digital economy. His research findings have informed policy discussions on digital business innovation, and his training sessions for the Nigeria Airforce and Defense Space Administration have enhanced national capabilities in satellite communications. Through his mentorship and teaching, he has inspired the next generation of digital entrepreneurs and information systems professionals.

🌍 Legacy and Future Contributions

Looking ahead, Dr. Ajah envisions further exploring the strategic role of digital technology in business model innovation. He aims to investigate blockchain-based business models and their applications across various industries. His long-term goal is to bridge the gap between academic research and industry practice, ensuring that digital entrepreneurs in emerging economies have the knowledge and tools needed for success. Through continued research, teaching, and consultancy, Dr. Ajah is set to leave a lasting impact on the global digital entrepreneurship ecosystem.

 

Publications

📄  Explicating transcendental factors for viable digital business: Towards an explanatory model for digital start-up emergence
Author: Ajah, E.O.
Journal: Digital Business
Year: 2025

📄  Investigating the factors fostering early-stage digital start-up survival during gestation in Nigeria market
Author: Ajah, E.O.
Journal: Digital Business
Year: 2023

 

Ahmed Attia | Business, Management and Accounting | Best Researcher Award

Published on by Book of Award

Prof. Dr. Ahmed Attia | Business, Management and Accounting | Best Researcher Award

Abu Dhabi University | United Arab Emirates

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits 🎓

Prof. Dr. Ahmed Attia’s academic journey began with a strong foundation in Business Management-Operations Management, earning both his master’s and Ph.D. from Alexandria University, Egypt. His keen interest in supply chain efficiency and operational excellence laid the groundwork for his future contributions in academia and industry.

Professional Endeavors 🏢

With over 20 years of experience across Egypt, Saudi Arabia, and the UAE, Dr. Attia has played a pivotal role in teaching, administration, and research. His expertise spans Operations Management, Supply Chain Management, and Logistics. His tenure at institutions like Effat University, the University of Business and Technology (UBT), and Abu Dhabi University showcases his leadership in both academic and institutional development.

Contributions and Research Focus 🔬

As a researcher, Dr. Attia focuses on solving real-world supply chain and operations challenges. His groundbreaking research on Organizational Learning, Knowledge Management Capability, and Supply Chain Management Practices in the Saudi food industry was published in the prestigious Journal of Knowledge Management (Q1-ranked). He has also explored resource allocation, recycling strategies, and service quality improvements, earning accolades in top-tier conferences.

Accolades and Recognition 🏆

Dr. Attia’s contributions to research have been widely recognized. His papers have won Best Track Paper Awards at the 2018 IEOM Paris Conference and 2019 IEOM Pilsen Conference. His commitment to academic excellence has also been reflected in his leadership roles in quality assurance, accreditation processes, and institutional development.

Impact and Influence 🌍

Beyond research, Dr. Attia has significantly impacted the education sector by introducing case-based learning, project-based learning, and interactive e-learning techniques. His bilingual teaching experience has helped bridge educational gaps and enhance student engagement. As a consultant for Quality and Development Deanships, he has played a key role in accreditation processes and institutional rankings.

Legacy and Future Contributions 🔮

Dr. Attia’s legacy is deeply rooted in his commitment to academic excellence, research innovation, and institutional development. His ongoing work in supply chain optimization, sustainability, and digital transformation in logistics continues to shape the future of the field. With his expertise, he is set to leave an enduring impact on both academia and industry, fostering the next generation of supply chain leaders.

 

Publications

📄  The Effect of Commitment to Sustainable Supply Chain Management and Reverse Logistics on Performance in Context of UAE Food Industry
Author: Attia, A.
Journal: Sustainable Futures
Year: 2025

📄  Effect of Sustainable Supply Chain Management and Customer Relationship Management on Organizational Performance in the Context of the Egyptian Textile Industry
Author: Attia, A.
Journal: Sustainability (Switzerland)
Year: 2023

📄 The Impact of Value-Added Tax on Small and Medium Enterprises
Authors: Hameed, A., Khalaf, H.A., Alzaimoor, H., Hamdan, A., Attia, A.
Journal: Lecture Notes in Networks and Systems
Year: 2023

📄 The Effect of Information System on the Reverse Logistics Performance
Author: Attia, A.
Journal: Academy of Strategic Management Journal
Year: 2021

📄  Testing the Effect of Knowledge Management Capabilities on Service Quality
Authors: Attia, A.M., Zibar, A.M.
Journal: Proceedings of the International Conference on Industrial Engineering and Operations Management
Year: 2019