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

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


 

Junwei Du | Computer Science | Best Researcher Award

Prof. Junwei Du | Computer Science | Best Researcher Award

Qingdao University of Science and Technology | China

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Prof. Junwei Du embarked on his academic journey with a strong foundation in computer science. He earned his Ph.D. in Computer Software and Theory from Tongji University in 2010. His thirst for international exposure led him to become a Visiting Scholar at Arizona State University, USA, in 2014. Further enriching his skills, Prof. Du attended the AI Training Workshop for Young Backbone hosted by the University of Queensland and the University of Technology, Sydney, Australia, in September 2018.

Professional Endeavors 💼

Prof. Junwei Du is currently Executive Vice Dean of the School of Data Science at Qingdao University of Science and Technology. His professional affiliations include being a Distinguished Member of CCF and holding memberships in prestigious committees like the China Computer Society's Software Engineering Specialised Committee and the China Automation Society's Network Information Service Committee. Additionally, he serves as a Director of the Shandong Artificial Intelligence Society, underscoring his leadership in the field.

Contributions and Research Focus 🔬

Prof. Du's research focuses on cutting-edge areas like intelligent software engineering, graph representation learning, and recommendation algorithms. He has led numerous high-impact projects, including a National Natural Science Foundation of China top-level project, two provincial funds, and a key R&D project in Shandong Province. His work has also extended to over 10 national vertical projects and nine enterprise-driven horizontal projects. Prof. Du has published more than 60 academic papers in renowned journals such as Information Sciences, Software Journal, and Expert Systems with Applications. His research has significantly contributed to software fault prediction, cross-domain recommendation systems, and privacy-preserving algorithms in IoT.

Accolades and Recognition 🏆

Prof. Junwei Du’s achievements have earned him notable accolades. As a key participant, he received the Third Prize of Shandong Provincial Scientific and Technological Progress and the Third Prize of Shandong Provincial Teaching Achievement. He has also guided his students to excel in prestigious competitions, leading them to win over 20 national awards in software design and testing.

Impact and Influence 🌍

Through his extensive contributions, Prof. Junwei Du has shaped the landscape of intelligent software systems and data science education. His leadership in research and teaching has inspired countless students to pursue innovation. Prof. Du’s work on ensemble learning, recommendation algorithms, and software fault prediction holds significant implications for industries ranging from IT to industrial IoT, enhancing technological efficiency and reliability.

Legacy and Future Contributions 🔮

Prof. Junwei Du continues to build a legacy of excellence, bridging academia and industry with transformative research and mentorship. His focus on emerging areas like graph representation learning and cross-domain recommendation systems will pave the way for smarter AI applications. By fostering collaboration and innovation, he is set to make lasting contributions to data science and software engineering, empowering the next generation of researchers and professionals.

 

Publications


📄 Improving Bug Triage with the Bug Personalized Tossing Relationship
Authors: Wei Wei, Haojie Li, Xinshuang Ren, Feng Jiang, Xu Yu, Xingyu Gao, Junwei Du
Journal: Information and Software Technology
Year: 2025


📄  A Privacy-Preserving Cross-Domain Recommendation Algorithm for Industrial IoT Devices
Authors: Yu X., Peng Q., Lv H., Du J., Gong D.
Journal: IEEE Transactions on Consumer Electronics
Year: 2024


📄 Research on Efficient Data Warehouse Construction Methods for Big Data Applications
Authors: Zhao C., Du J., Wang F., Li H.
Journal: Applied Mathematics and Nonlinear Sciences
Year: 2024


📄 A Cross-Domain Intrusion Detection Method Based on Nonlinear Augmented Explicit Features
Authors: Yu X., Lu Y., Jiang F., Du J., Gong D.
Journal: IEEE Transactions on Network and Service Management
Year: 2024


📄 A Multi-Behavior Recommendation Based on Disentangled Graph Convolutional Networks and Contrastive Learning
Authors: Yu J., Jiang F., Du J.W., Yu X.
Journal/Proceedings: Communications in Computer and Information Science
Year: 2024


 

Hongfei Yang | Engineering | Best Researcher Award

Assoc Prof Dr. Hongfei Yang | Engineering | Best Researcher Award

Shihezi University | China

Author Profile

Scopus

Orcid

🌱 Early Academic Pursuits

Dr. Hongfei Yang’s academic journey is marked by an impressive foundation in engineering and scientific disciplines. He earned his Bachelor's degree in Mechanical Design, Manufacturing, and Automation from Dalian University in 2016. Following this, he pursued his Master’s in Mechanical Design and Theory at Jilin University, complemented by a joint training program at Cambridge University. These early years laid a solid groundwork in mechanical design, equipping him with a unique blend of theoretical knowledge and practical skills.

💼 Professional Endeavors

Currently an Associate Professor in Electronic Information Engineering at Shihezi University, Dr. Yang has dedicated his career to advancing precision engineering and measurement technology. His experience includes a rigorous doctoral program in Testing and Measurement Technology at Jilin University, where he focused on developing innovative solutions in instrument technology. Dr. Yang's professional path reflects his commitment to impactful research and teaching in electronic and mechanical engineering fields.

📚 Contributions and Research Focus

Dr. Yang’s research is distinguished by its focus on magnetic sensing and machine vision, especially in applications for unstructured environments and deep-earth observations. As the first author of 11 academic papers with a cumulative impact factor of 59.4, he has made substantial contributions to journals like IEEE Transactions on Geoscience and Remote Sensing and IEEE Sensors Journal. His work addresses pressing challenges in instrument measurement, such as developing methods for identifying rail defects and creating robust magnetic sensing systems. His expertise extends to multiple patents, demonstrating practical solutions for applications ranging from long-term monitoring in extreme environments to automated mushroom collection devices.

🏆 Accolades and Recognition

Dr. Yang’s contributions have been recognized with numerous honors. Among them are the prestigious National Scholarship for Doctoral Students in China, awarded by the Ministry of Education, and Jilin University's First-Class Doctoral Excellence Scholarship. His scholarly achievements and dedication have earned him the title of "Outstanding Graduate" and the Geological Instrument Scholarship from Jilin University. These accolades reflect his exceptional research performance and his ongoing impact in his field.

🌍 Impact and Influence

Dr. Yang’s influence extends beyond academia, as he actively participates in shaping engineering knowledge as a reviewer for top journals like IEEE Transactions on Instrumentation and Measurement. His work on projects, such as the National Natural Science Foundation of China project on environmental recognition for engineering vehicles, has pushed the boundaries of how advanced data processing can improve machine vision in complex environments. His contributions to deep borehole observation technology are advancing our understanding of deep-earth environments, with applications in various scientific and industrial domains.

🏅 Legacy and Future Contributions

Dr. Yang’s career represents a blend of innovation, interdisciplinary expertise, and real-world applications. His research in precision engineering, machine vision, and magnetic sensing continues to inspire advancements in technology and scientific exploration. His legacy lies in both his published works and his commitment to teaching, mentoring, and advancing engineering research. Looking forward, Dr. Yang is set to further enrich the field of electronic information engineering, leaving an enduring impact on the next generation of scientists and engineers.

 

Publications


📝 SwinLabNet: Jujube Orchard Drivable Area Segmentation Based on Lightweight CNN-Transformer Architecture

Authors: Mingxia Liang, Longpeng Ding, Jiangchun Chen, Liming Xu, Xinjie Wang, Jingbin Li, Hongfei Yang
Journal: Agriculture
Year: 2024


📝 Neural Network-Based 3D Point Cloud Detection of Targets in Unstructured Environments

Authors: D. Wang, H. Yang, Z. Yao, Z. Chang, Y. Wang
Journal: Advances in Mechanical Engineering
Year: 2024


📝 MI-FPD: Magnetic Information of Free Precession Signal Data Measurement Method for Bell-Bloom Magnetometer

Authors: D. Bai, L. Cheng, Y. Sun, H. Yang, Y. Wang
Journal: IEEE Transactions on Geoscience and Remote Sensing
Year: 2024


📝 Efficient Measurement of Free Precession Frequency in Bell-Bloom Atomic Magnetometers

Authors: D. Bai, Y. Zhou, Y. Sun, H. Yang, Y. Wang
Journal: IEEE Transactions on Instrumentation and Measurement
Year: 2024


📝 EHA-YOLOv5: An Efficient and Highly Accurate Improved YOLOv5 Model for Workshop Bearing Rail Defect Detection Application

Authors: J. Hu, H. Yang, J. He, D. Bai, H. Chen
Journal: IEEE Access
Year: 2024


 

Anastasios Liapakis | Computer Science | Best Researcher Award

Assist Prof Dr. Anastasios Liapakis | Computer Science | Best Researcher Award

University of West Attica | Greece

Author Profile

Orcid

Google Scholar

Early Academic Pursuits 📚

Dr. Anastasios Liapakis embarked on his academic journey with a strong foundation in Agricultural Engineering at the Agricultural University of Athens, where he completed his B(Eng) with a commendable grade of 7.27/10. Driven by a passion for data and analytics, he pursued a Master of Business Administration (MBA) specializing in Data Analytics at the same institution. His dedication and academic excellence earned him a top grade of 8.59/10. Dr. Liapakis continued his pursuit of knowledge by obtaining a PhD in Informatics, focusing on Big Data Analytics in Agricultural Digital Markets. His research in this area, completed with an "Excellent" grade, laid the groundwork for his future contributions to the field.

Professional Endeavors 🚀

Dr. Liapakis has held several key academic positions that have shaped his career. He is currently an Adjunct Assistant Professor at the University of West Attica, where he teaches modules on E-governance and Databases. His experience spans various institutions, including the University of Peloponnese, where he taught Programming II, and the National & Kapodistrian University of Athens, where he delivered courses on Object-Oriented Programming, Software Systems Design, and e-Government Systems. As the Academic Head of the Informatics Department at New York College, Athens, he managed programs in Computing, Software Engineering, and Data Analytics, showcasing his leadership and expertise in the field.

Contributions and Research Focus 🔬

Dr. Liapakis' research interests lie at the intersection of Artificial Intelligence (AI), Big Data Analytics, and Cultural Heritage Information Management. He has made significant contributions to the understanding and application of AI in various domains, particularly in opinion mining and big data analytics. His work has been instrumental in developing innovative solutions for the agricultural sector, including automated monitoring and control systems against pests in the Mediterranean region. His research projects, funded by the EU, have had a profound impact on the industry, highlighting his ability to bridge the gap between academia and real-world applications.

Accolades and Recognition 🏆

Throughout his career, Dr. Liapakis has been recognized for his outstanding academic performance and research contributions. He received multiple scholarships and financial awards, including one from the Agricultural University of Athens for his exceptional performance in the MBA program and another from the Greek State Scholarships Foundation during his undergraduate studies. His research has also garnered accolades, including a Best Paper Award at the International Journal of Computational Linguistics in 2020, solidifying his reputation as a leading researcher in his field.

Impact and Influence 🌍

Dr. Liapakis' work has had a significant impact on the academic community and beyond. His research in big data analytics and AI has influenced how these technologies are applied in various sectors, particularly in agriculture and food industries. His contributions to sentiment analysis, particularly in the context of the Greek language, have provided valuable insights for both academia and industry. Additionally, his involvement in PhD supervision and as a reviewer for various research journals demonstrates his commitment to shaping the future of research in his field.

Legacy and Future Contributions 🌟

As Dr. Liapakis continues to advance his research in AI and big data, his legacy is one of innovation and dedication to the application of cutting-edge technologies in solving real-world problems. His ongoing work in cultural heritage information management and his leadership in academic programs ensure that his contributions will continue to influence future generations of researchers and practitioners. Dr. Liapakis' vision for integrating AI into various sectors, coupled with his extensive experience and accolades, positions him as a thought leader poised to make lasting contributions to both academia and industry.

 

Publications


  • 📝A Sentiment Analysis Approach for Exploring Customer Reviews of Online Food Delivery Services: A Greek Case
    Authors: Fragkos, N.; Liapakis, A.; Ntaliani, M.; Ntalianis, F.; Costopoulou, C.
    Journal: Preprints 2024, 2024041203
    Year: 2024

  • 📝Ethical Use of Artificial Intelligence and New Technologies in Education 5.0
    Authors: Liapakis, A., Smyrnaiou, Z., & Bougia, A.
    Journal: International Journal of Artificial Intelligence, Machine Learning and Data Science
    Year: 2023

  • 📝Big Data, Sentiment Analysis, and Examples during the COVID-19 Pandemic
    Authors: Diareme, K. C., Liapakis, A., & Efthymiou, I.
    Journal: HAPSc Policy Briefs Series
    Year: 2022

  • 📝An Aspect-Based Sentiment Analysis System to Analyze Customers’ Reviews from Food and Beverage Opinion and Review Webpages: The Greek Case
    Authors: Liapakis, A., Tsiligiridis, T., Yialouris, C., & Costopoulou, C., Diareme, K.C.
    Journal: Information (Accepted for publication)
    Year: 2021

  • 📝A Corpus-Driven, Aspect-Based Sentiment Analysis to Evaluate in Almost Real-Time, a Large Volume of Online Food & Beverage Reviews
    Authors: Liapakis, A., Tsiligiridis, T., Yialouris, C., & Maliappis, M.
    Journal: International Journal of Computational Linguistics (IJCL)
    Year: 2020

 

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

Dr. Esi Elliot | Business, Management and Accounting | Best Researcher Award

University of Texas at Rio Grande Valley | United States

Author Profile

Scopus

Early Academic Pursuits 📚

Dr. Esi Elliot began her academic journey with a Bachelor of Science in Banking and Finance from the University of Ghana, followed by an MBA in International Business from Schiller International University, United Kingdom. She pursued further studies with a Ph.D. in Business Administration (Marketing) from the University of Illinois at Chicago, laying a strong foundation for her future career in academia and business.

Professional Endeavors 💼

Dr. Elliot's professional career is marked by her roles as an Assistant Professor of Practice in International Business and Entrepreneurship at the University of Texas at Rio Grande Valley. She has also served as an Assistant Professor of Marketing at Midwestern State University, Suffolk University, and a Visiting Assistant Professor at George Washington University. Her professional journey includes significant contributions in teaching international business, marketing, and entrepreneurship at various esteemed institutions.

Contributions and Research Focus 🔍

Dr. Elliot's research focuses on international business, globalization, and entrepreneurship. Her work includes studies on value co-creation, digital financial services in emerging markets, and strategic financial management. Notable publications include articles in the Journal of Business Research and Sustainability, contributing valuable insights into customer experience, environmental sustainability, and digital financial inclusion.

Accolades and Recognition 🏆

Dr. Elliot has received several prestigious awards for her contributions to academia and industry. Highlights include the Global Black Women in Banking and Finance Annual Honors Award and recognition for innovative excellence in marketing education from the American Marketing Association. She has also been acknowledged for her academic excellence and contributions to teaching and research through various awards and honors.

Impact and Influence 🌍

Dr. Elliot's impact extends beyond academia into the realms of business and innovation. Her role as CEO of Anansewaa Global Market Foundation and her pro-bono consulting for the African Continental Free Trade Area demonstrate her commitment to youth development and entrepreneurial support. Her innovative approaches in marketing and product development have significantly influenced the banking industry in Ghana.

Legacy and Future Contributions 🌟

Dr. Elliot's legacy is defined by her dedication to education, research, and professional excellence. Her future contributions are likely to continue shaping the fields of international business and entrepreneurship through innovative research and impactful teaching. Her ongoing efforts to support entrepreneurial development and global business strategies will undoubtedly leave a lasting impact on the academic and professional communities.

 

Publications  📚


  • 📝 Environmental sustainability and customer experience in emerging markets
    Authors: Tsetse, E.K.K., Adams, R., Elliot, E.A., Downey, C.
    Journal: Business Strategy and the Environment
    Year: 2024

  • 📝 From racialized brands to authentic brands: Dynamic conceptual blending
    Authors: Elliot, E.A., Cavazos, C., Chow, A.M.
    Journal: Journal of Global Scholars of Marketing Science
    Year: 2024

  • 📝 Customer Value Co-Creation: Environmental Sustainability as a Tourist Experience
    Authors: Elliot, E.A., Adams, R., Tsetse, E.K.K.
    Journal: Sustainability (Switzerland)
    Year: 2023

  • 📝 Ethnic chambers of commerce and co-creation of value: a synthesis of cultural and networking competencies
    Authors: Elliot, E., Smith, R.S., Bicen, P.
    Journal: Journal of Research in Marketing and Entrepreneurship
    Year: 2023

  • 📝 Digital Financial Services and Strategic Financial Management: Financial Services Firms and Microenterprises in African Markets
    Authors: Elliot, E.A., Cavazos, C., Ngugi, B.
    Journal: Sustainability (Switzerland)
    Year: 2022

  • 📝 Mobile Financial Services at the Base of the Pyramid: A Systematic Literature Review: An Abstract
    Authors: Dadzie, C.A., Kwaramba, M., Elliot, E.
    Journal: Developments in Marketing Science: Proceedings of the Academy of Marketing Science
    Year: 2022

 

Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

Assist Prof Dr. Vidhushavarshini Sureshkumar | Engineering | Best Researcher Award

SRM Institute of Technology | India

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits 🎓

Dr. Vidhushavarshini Sureshkumar's academic journey is a testament to her dedication to excellence. She earned her Ph.D. in Information and Communication Engineering from Sona College of Technology under Anna University in 2022. Prior to this, she completed her M.E. in Computer Science and Engineering from Vinayaka Missions Kirubanandha Variyar Engineering College, achieving first-class honors. Her academic accomplishments extend to various domains, including an MBA in Human Resource Management and an M.Sc. in Psychology from IGNOU and Madras University, respectively, showcasing her interdisciplinary approach to education.

Professional Endeavors 💼

Dr. Vidhushavarshini's professional career spans several esteemed institutions. Currently, she serves as an Assistant Professor (Senior Grade) at SRM Institute of Technology. She has previously held positions at Sona College of Technology and Gnanamani College of Technology, where she contributed as both a faculty member and a research scholar. Her roles have not been limited to academia; she has also been a subject matter expert and content developer for SkillUp Technologies. Her career is marked by a strong commitment to student development, as evidenced by her work in placement training, curriculum design, and as a class counselor.

Contributions and Research Focus 🔬

Dr. Vidhushavarshini's research interests lie in Bioinformatics, Machine Learning, Deep Learning, and Data Science, among others. She has published extensively in high-impact journals, with significant contributions to the fields of thyroid disease classification, breast cancer diagnosis, and cardiovascular disease prediction using advanced computational techniques. Her work integrates cutting-edge technologies like IoT, deep learning, and XGBoost, addressing critical issues in healthcare and computer science.

Accolades and Recognition 🏅

Throughout her career, Dr. Vidhushavarshini has received numerous accolades for her academic and professional contributions. She has been recognized for securing the top rank in technical English assessments and has played a pivotal role as a resource person in faculty development programs. Her achievements in securing placements for students in multinational corporations highlight her influence as an educator and mentor.

Impact and Influence 🌍

Dr. Vidhushavarshini's impact extends beyond the classroom. Her leadership in organizing workshops on artificial intelligence, deep learning, and ethical hacking has empowered countless students and professionals. She has also contributed to national and international conferences, sharing her expertise and fostering collaborations that push the boundaries of technology and education.

Legacy and Future Contributions 🌟

Dr. Vidhushavarshini's legacy is defined by her unwavering commitment to education and research. As she continues to advance in her career, her future contributions promise to be just as impactful. With a strong foundation in interdisciplinary studies and a passion for innovation, she is poised to make significant strides in the fields of computer science and engineering, leaving an indelible mark on the academic and professional communities.

 

Publications 📚


📝Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis
Author : Jaganathan, D., Balasubramaniam, S., Sureshkumar, V., Dhanasekaran, S.
Journal & Year : Diagnostics, 2024


📝An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction
Author : Revathi, T.K., Balasubramaniam, S., Sureshkumar, V., Dhanasekaran, S.
Journal & Year : Diagnostics, 2024


📝A Comparative Study on Thyroid Nodule Classification Using Transfer Learning Methods
Author : Sureshkumar, V., Jaganathan, D., Ravi, V., Velleangiri, V., Ravi, P.
Journal & Year : Open Bioinformatics Journal, 2024


📝Smart Healthcare Monitoring System: Integrating IoT, Deep Learning, and XGBoost for Real-Time Patient Diagnosis
Author : Paulraj, K., Soms, N., David Samuel Azariya, S., Jeba Emilyn, J., Sureshkumar, V.
Journal & Year : OCIT 2023 - 21st International Conference on Information Technology, Proceedings, 2023


📝Optimization of Process Parameters on Wire Cut Electrical Discharge Machining and Surface Integrity Studies of AA6070/MgO Composites
Author : Vinoth, S., Rajasekar, C., Sathish, P., Hasane Ahammad, S., Girimurugan, R.
Journal & Year :  Journal of Physics: Conference Series, 2023


 

Moparthi Nageswara Rao | Engineering | Best Researcher Award

Dr. Moparthi Nageswara Rao | Engineering | Best Researcher Award

KL University | India

Author Profile

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Google Scholar

Early Academic Pursuits

Dr. Moparthi Nageswara Rao embarked on his academic journey with a strong foundation in computer science. He holds a B.Sc. in Computer Science from Acharya Nagarjuna University, India, followed by an M.Sc. in Computer Science from Bharatidasan University, India. Further enhancing his expertise, he pursued an M.Tech. in Computer Science & Engineering from Acharya Nagarjuna University, India. Dr. Rao culminated his formal education with a Ph.D. in Computer Science & Technology from Sri Krishnadevaraya University, India, specializing in Machine Learning, Software Engineering, and Data Mining.

Professional Endeavors

Currently serving as a Professor and Deputy Head of the Department in Computer Science and Engineering at KL University, India, Dr. Moparthi Nageswara Rao boasts over 22 years of experience in both the IT industry and academia. His professional journey includes significant roles such as Project Lead in the IT industry, where he developed innovative applications and software solutions for prominent companies including Birlasoft India (P) Ltd, IBM India Pvt. Ltd, Mphasis An HP Company, and Info Plus Technologies, USA. In academia, he has held positions at Velagapudi Ramakrishna Siddhartha Engineering College and KL University, where he has been instrumental in research, teaching, and mentoring students in various computer science disciplines.

Contributions and Research Focus

Dr. Rao's research and contributions span across several key areas in computer science, including data mining and machine learning, where he has developed models and techniques for efficient data processing and analysis; software engineering, advancing methodologies and practices in software development; and the Internet of Things (IoT), exploring the integration of IoT technologies in various applications. Additionally, he has played a pivotal role in curriculum development, designing and implementing innovative educational techniques and strategies. His research has been widely recognized, with numerous articles published in top-tier academic journals, including those indexed in SCI and Scopus.

Accolades and Recognition

Dr. Rao's excellence in research and teaching has been recognized through numerous awards and honors, including the Best Teacher Award (2018), Award of Excellence in Research (2020) by Novel Research Academy, and Outstanding Reviewer Awards from Inderscience, Springer, and Elsevier. Additionally, he received the One Team One Dream Award from IBM India, Spot Award from Mphasis, and Best Performer of the Month Award from Sony India. Dr. Rao has authored 43 publications, including 14 SCI-indexed and 20 Scopus-indexed articles, published two books, and holds three patents, one of which has been granted. His contributions to industrial projects include leading funded initiatives such as augmented reality applications for real estate and systems for diagnosing diabetic retinopathy.

Impact and Influence

Dr. Rao has made a substantial impact in both the academic and industrial sectors through his dedicated efforts in student mentoring and development, guiding numerous Ph.D., M.Tech., and B.Tech. students in their academic and research pursuits. He has fostered industry collaboration, developing practical applications and solutions, such as augmented reality applications and medical diagnostic systems. Additionally, Dr. Rao has significantly contributed to academic quality and standards by actively participating in accreditation and certification duties, ensuring the institutions he is affiliated with maintain high standards of education and research.

Legacy and Future Contributions

Dr. Rao's legacy in the field of computer science is marked by his commitment to education, research, and innovation. His future contributions are anticipated to further advance the integration of technology in education and industry. With a focus on cutting-edge technologies such as AI, ML, and IoT, he is poised to continue influencing the next generation of computer scientists and engineers.

 

Notable Publications

A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems 2024 (3)

Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data 2024 (3)

Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture 2024

An Efficient Aspect-based Sentiment Classification with Hybrid Word Embeddings and CNN Framework 2024

Dual Interactive Wasserstein Generative Adversarial Network optimized with arithmetic optimization algorithm-based job scheduling in cloud-based IoT 2023 (1)

 

Yongshin Park | Decision Sciences | Excellence in Research Award

Dr. Yongshin Park | Decision Sciences | Excellence in Research Award

St. Edward's University | United States

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Yongshin Park embarked on his academic journey at North Dakota State University, where he obtained a Bachelor of Science in Industrial and Manufacturing Engineering in 2012. He continued his studies at the same institution, earning a Master’s degree in Managerial Logistics in 2013. Driven by a passion for data and analysis, Dr. Park further pursued a Graduate Degree Certificate in Statistics, which he completed alongside his Ph.D. in Transportation and Logistics in 2018. His dissertation, titled "Three Essays on Sustainability of Transportation and Supply Chain," laid the foundation for his future contributions to academia and industry.

Professional Endeavors

Dr. Park’s professional career began as a Research Assistant at North Dakota State University's Upper Great Plains Transportation Institute, where he worked from 2012 to 2018. He then transitioned to academia as a Lecturer at North Dakota State University, teaching various courses in Transportation, Operations, and Supply Chain Management. In 2018, Dr. Park joined St. Edward’s University in Austin, TX, where he initially served as an Assistant Professor of Operations Management. His exemplary performance led to his promotion to Associate Professor of Operations Management and Business Analytics in 2023, and he currently holds the position of Program Director for the MS in Business Analytics.

Contributions and Research Focus

Dr. Park’s research is deeply rooted in transportation and supply chain sustainability, financial management, and data analytics. His expertise spans a wide range of analytical tools and software, including R, SPSS, Python, and Tableau, among others. Dr. Park has authored multiple scholarly publications, with notable works focusing on topics such as port productivity, herd behavior in decision-making, and the sustainability performance of the construction sector. His interdisciplinary approach has also led to significant contributions in fields like hydrology education and media framing of social issues.

Accolades and Recognition

Throughout his career, Dr. Park has received numerous accolades for his research and teaching excellence. He was awarded the Munday School of Business Dean’s Excellent Research Grant twice, in 2022 and 2023. His innovative research on port infrastructure earned him a substantial grant from Gyeongsang National University, South Korea, in 2023. Additionally, Dr. Park’s academic achievements have been recognized with awards such as the Encouragement Paper Award from the Asian Association of Management Science and Application and the Excellent Student Paper Award from the Korean Transportation Association in America.

Impact and Influence

Dr. Park’s impact extends beyond his publications and grants. He has played a pivotal role in developing and modernizing academic programs at St. Edward’s University, including the MS in Business Analytics and the MBA Supply Chain Management Concentration. His dedication to teaching and mentorship has fostered the academic growth of numerous undergraduate and graduate students. Dr. Park's collaborative efforts with faculty and industry professionals have enriched the curriculum and enhanced the university's reputation in the field of business analytics.

Legacy and Future Contributions

Dr. Park’s legacy is characterized by his commitment to sustainability in transportation and supply chain management, as well as his innovative approach to data analytics and education. Looking ahead, he aims to continue his research on sustainability and efficiency in logistics and supply chains, with a focus on developing new models and tools to address emerging challenges in these fields. Dr. Park’s ongoing work promises to make significant contributions to both academia and industry, ensuring his lasting influence on future generations of scholars and practitioners.

Notable Publications

A responsive closed-loop supply chain network design under demand uncertainty 2024

Predicting Nurse Turnover for Highly Imbalanced Data Using the Synthetic Minority Over-Sampling Technique and Machine Learning Algorithms 2023 (1)

The efficient and stable planning for interrupted supply chain with dual‐sourcing strategy: a robust optimization approach considering decision maker's risk attitude 2023 (13)

Multi-criteria supplier selection problem with fuzzy demand: a newsvendor model 2022 (1)

A Comparative Time-Series Investigation of China and U.S. Manufacturing Industries’ Global Supply-Chain-Linked Economic, Mid and End-Point Environmental Impacts 2021 (5)

 

 

 

 

Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Prof. Dariusz Mazurkiewicz | Engineering | Excellence in Research Award

Politechnika Lubelska | Poland

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Early Academic Pursuits

Professor Dariusz Mazurkiewicz embarked on his academic journey by earning a Master’s degree in Mechanical Engineering from the Technical University of Lublin, Poland, in 1991. He further pursued his academic endeavors by completing his doctorate in technical sciences from the same university in 1997. His commitment to scholarly pursuits continued as he successfully passed the final habilitation procedure examination in technical sciences at the Technical University of Lublin in 2011. This foundation laid the groundwork for his illustrious career in academia and research.

Professional Endeavors

Professor Mazurkiewicz’s professional journey is marked by significant achievements and contributions in the fields of engineering and academia. Notably, he was bestowed with the prestigious title of full professor in technical and engineering sciences by the President of the Republic of Poland in 2022. Throughout his career, he has been actively involved in national and international research projects, contributing to advancements in areas such as digital twin technology, systems engineering, and reliability management. He has served as a keynote speaker at various esteemed conferences, sharing his expertise and insights with the global academic community.

Contributions and Research Focus

Professor Mazurkiewicz’s research focus spans a diverse range of topics, including digital twin-based fault prediction, process optimization, and reliability engineering. His pioneering work in developing innovative measurement technologies and digital data processing algorithms has garnered recognition and acclaim from peers worldwide. He has led numerous research projects aimed at enhancing the efficiency and reliability of production systems, thereby contributing to the advancement of industrial practices and technologies.

Accolades and Recognition

Professor Mazurkiewicz’s contributions to academia and research have been recognized through a multitude of awards and distinctions. He has been listed among the world’s top scientists by Stanford University and Elsevier, underscoring the impact of his scholarly endeavors. His research presentations and publications have received accolades such as the Best Paper Award at prestigious international conferences. Additionally, he has been honored by academic institutions and organizations for his outstanding scientific achievements and organizational contributions.

Impact and Influence

Professor Mazurkiewicz’s work has had a profound impact on the fields of engineering, reliability, and systems management. His research findings and innovative methodologies have not only advanced scientific knowledge but also contributed to practical applications in industry and academia. Through his leadership and mentorship, he has inspired future generations of researchers and scholars to pursue excellence in their respective domains, thereby fostering a culture of innovation and inquiry.

Legacy and Future Contributions

Professor Mazurkiewicz’s legacy is characterized by a steadfast commitment to excellence, innovation, and collaboration in research and academia. His continued efforts to push the boundaries of knowledge and technology are poised to shape the future of engineering and reliability sciences. As he continues to lead groundbreaking research initiatives and mentor aspiring scholars, his legacy will endure as a testament to his enduring dedication to advancing the frontiers of scientific inquiry and engineering excellence.

Notable Publications

Virtual tomography as a novel method for segmenting machining process phases with the use of machine learning-supported measurement 2024

Novel Approach to Prognostics and Health Management to Combine Reliability and Process Optimisation 2023

Production Process Stability: The Advantages of Going Beyond Qualitative Analysis 2023 (2)

Systems Engineering: Availability and Reliability 2022 (13)

Method for assessing the impact of rainfall depth on the stormwater volume in a sanitary sewage network 2021 (3)

Nam-Phuong Tran | Computer Science | Best Researcher Award

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

Chung-Ang University | South Korea

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Early Academic Pursuits

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

Professional Endeavors

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

Contributions and Research Focus

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

Accolades and Recognition

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

Impact and Influence

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

Legacy and Future Contributions

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

Notable Publications

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

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

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

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

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