Diogo Santiago | Computer Science | Best Researcher Award

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Mr. Diogo Santiago | Computer Science | Best Researcher Award

Oracle | Brazil

Mr. Diogo Santiago is a highly accomplished technology professional with extensive experience spanning software engineering, big data, and artificial intelligence. Beginning his career in 2009 as a software engineer developing major e-commerce platforms in Brazil, he transitioned into data engineering and science, mastering technologies like Hadoop, Spark, Hive, and Sqoop for large-scale data processing and migration. Since 2018, he has specialized in data science and AI, contributing to diverse projects in computer vision, anomaly detection, logistics optimization, and generative AI, including GAN and diffusion model applications for virtual try-on systems. As an AI Architect at Oracle for LATAM, he designs advanced AI architectures, supports clients with resource planning, and enhances model deployment efficiency through GPU optimization and large language model serving using vLLM and SGLang. His prior roles at Lambda3, Tivit, and Qintess involved developing ML models, data pipelines, and automation systems using cloud technologies such as GCP, AWS, and OCI. With multiple postgraduate qualifications in Big Data and Machine Learning for Finance, along with a Master’s in Medical Texture Imaging, he exemplifies innovation and leadership in merging AI research with scalable enterprise solutions.

Profile : Orcid

Featured Publication

Adorno, P. L. V., Jasenovski, I. M., Santiago, D. F. D. M., & Bergamasco, L. (2023, May 29). Automatic detection of people with reduced mobility using YOLOv5 and data reduction strategy. Conference paper.

 

Vaggelis Lamprou | Computer Science | Best Researcher Award

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Mr. Vaggelis Lamprou | Computer Science | Best Researcher Award

National Technical University of Athens | Greece

Author Profile

Scopus

Orcid

Google Scholar 

Early Academic Pursuits

Mr. Vaggelis Lamprou began his academic journey with a strong foundation in mathematics, earning his Bachelor’s degree from the National and Kapodistrian University of Athens, where he developed a deep interest in calculus, probability theory, and statistics. His passion for analytical reasoning and theoretical problem-solving led him to pursue a Master’s degree in Mathematics at the University of Bonn, Germany, where he focused on probability theory and its applications, culminating in a thesis on large deviations in mean field theory. This early academic phase not only honed his mathematical rigor but also laid the groundwork for his transition into the emerging domains of artificial intelligence and machine learning.

Professional Endeavors

Building upon his academic background, Mr. Lamprou advanced into roles that blended research with real-world applications. As a Data Analyst at Harbor Lab, he utilized statistical and computational tools to optimize platform usability and collaborated in developing innovative cost estimation tools for the maritime industry. His transition into machine learning engineering at Infili Technologies SA and later at the DSS Lab, EPU-NTUA, marked a shift toward high-impact AI-driven research and development, particularly within European-funded projects focusing on federated learning, generative AI, anomaly detection, and privacy-preserving technologies.

Contributions and Research Focus

Mr. Lamprou’s research is rooted in the intersection of mathematics, computer science, and artificial intelligence, with a strong emphasis on interpretable AI, deep learning, and probabilistic modeling. His work spans applications in medical imaging, cybersecurity, and large-scale distributed learning systems. In his Master’s thesis in Artificial Intelligence, he explored the evaluation of interpretability methods for deep learning models in medical imaging, underlining his dedication to developing transparent and trustworthy AI solutions. His contributions also extend to federated learning frameworks, enhancing data security and performance in next-generation communication networks.

Publications and Scholarly Engagement

His scholarly output reflects a commitment to both theoretical innovation and practical problem-solving. Notable works include a study on interpretability in deep learning for medical images published in Computer Methods and Programs in Biomedicine, and a comprehensive survey on federated learning for cybersecurity and trustworthiness in 5G and 6G networks in the IEEE Open Journal of the Communications Society. He actively participates in academic discourse, presenting at international conferences such as the International Conference on Information Intelligence Systems and Applications, further contributing to the global exchange of ideas in AI research.

Accolades and Recognition

Mr. Lamprou’s academic excellence is evident in his high academic distinctions throughout his studies, including top GPAs in his advanced degrees. His recognition extends beyond academic grades, with his selection to contribute to high-profile European R&D initiatives—a testament to his expertise and reliability in cutting-edge technological research. His invited participation in prestigious conferences and collaborations with leading research institutions reflects the respect he commands within the AI and machine learning community.

Impact and Influence

Through his research and professional activities, Mr. Lamprou has contributed to advancing AI methodologies in fields of societal importance, such as healthcare and cybersecurity. His work in interpretable AI has the potential to bridge the gap between complex machine learning models and human understanding, fostering trust in AI-assisted decision-making. In the realm of federated learning, his contributions support data sovereignty and privacy, addressing critical challenges in the deployment of AI at scale across sensitive domains.

Legacy and Future Contributions

As a PhD candidate at the National Technical University of Athens, Mr. Lamprou is poised to further deepen his contributions to the AI research landscape. His ongoing work aims to push the boundaries of interpretable and probabilistic AI models, with a vision to create transparent, reliable, and secure machine learning systems. His trajectory suggests a lasting influence on both the academic and industrial sectors, with the potential to inspire future researchers to prioritize ethical and explainable AI solutions.

Publications

Article: Federated Learning for Enhanced Cybersecurity and Trustworthiness in 5G and 6G Networks: A Comprehensive Survey
Authors: Afroditi Blika, Stefanos Palmos, George Doukas, Vangelis Lamprou, Sotiris Pelekis, Michael Kontoulis, Christos Ntanos, Dimitris Askounis
Journal: IEEE Open Journal of the Communications Society
Year: 2025

Article: On the trustworthiness of federated learning models for 5G network intrusion detection under heterogeneous data
Authors: Vangelis Lamprou, George Doukas, Christos Ntanos, Dimitris Askounis
Journal: Computer Networks
Year: 2025

Article: Data analytics for research on complex brain disorders
Authors: Michail Kontoulis, George Doukas, Theodosios Pountridis, Loukas Ilias, George Ladikos, Vaggelis Lamrpou, Kostantinos Alexakis, Dimitris Askounis, Christos Ntanos
Journal: Open Research Europe
Year: 2024

Article: On the evaluation of deep learning interpretability methods for medical images under the scope of faithfulness
Authors: Vangelis Lamprou, Athanasios Kallipolitis, Ilias Maglogiannis
Journal: Computer Methods and Programs in Biomedicine
Year: 2024

Article: Grad-CAM vs HiResCAM: A comparative study via quantitative evaluation metrics
Author: Vaggelis Lamprou
Institution: University of Piraeus
Year: 2023

Conclusion

With his blend of theoretical insight, technical skill, and a forward-looking research vision, Mr. Lamprou stands out as a promising researcher whose work is set to have a significant impact on the development of transparent and reliable AI technologies. His career embodies the bridge between rigorous academic inquiry and impactful, real-world AI solutions.

Kishor Pakhale | Business, Management and Accounting | Best Researcher Award

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Dr. Kishor Pakhale | Business, Management and Accounting | Best Researcher Award

KVN Naik ACS COLLEGE SINNAR | India

Author Profile

Orcid

Early Academic Pursuits

Dr. Kishor Pakhale began his educational journey with a strong foundation in commerce and computer studies. He earned his B.Com from New Arts, Commerce & Science College, Ahmednagar, and advanced through multiple postgraduate degrees including an MBA in Computer Management, MCM, M.Com, and PGDBM in HR. Demonstrating a keen interest in research, he completed a six-month certificate course in Research Methodology from Deccan College, Pune, and was awarded a Ph.D. in Commerce from Nagpur University. His doctoral research focused on the use of e-learning resources by teachers and students and its influence on academic performance—a subject highly relevant to today’s digital learning environments.

Professional Endeavors

Dr. Pakhale brings over 15 years of diverse academic and administrative experience. He currently serves as the Principal and Assistant Professor at K.V.N. Naik College, Sinnar. Previously, he held pivotal roles as Principal and Assistant Professor at Ashwamedh College and as a faculty member in Computer Science at Shree Samarth College, Ahmednagar. His multidisciplinary expertise extends beyond academia, including roles in IT as a SAP B1 Developer and in the private sector with IndusInd Media & Communications Ltd. These wide-ranging experiences enrich his pedagogical and administrative capabilities.

Contributions and Research Focus

An active researcher and contributor to academia, Dr. Pakhale has published several papers in reputed journals such as GIIRJ, IRJHIS, and IJARIIT. His research encompasses ICT for rural development, statistical data analysis, and the academic application of e-learning. He has reviewed for respected international journals and attended numerous national and international workshops and conferences on research methodology. His commitment to scholarly excellence is further underscored by his participation in extensive faculty development programs and research workshops on SPSS, data processing, and digital tools.

Accolades and Recognition

Dr. Pakhale has consistently demonstrated excellence through his selection as a research paper reviewer for international journals, speaker at conferences, and participant in high-level FDPs. His national and international presence in conferences on education, ICT, and research design reflects both his credibility and commitment to ongoing academic advancement. He has also received accolades for his contributions to education and research through numerous certifications, online programs, and skill development initiatives.

Impact and Influence

Dr. Pakhale’s influence is multi-dimensional—academic, technical, and administrative. His ability to bridge traditional commerce education with modern technologies such as SAP, research analytics, and digital pedagogy has had a significant impact on institutions and students alike. His development of academic content, mentorship of young scholars, and practical training programs continue to shape future-ready professionals.

Legacy and Future Contributions

With a legacy rooted in innovation, leadership, and research, Dr. Kishor Pakhale is poised to continue making impactful contributions to the field of commerce and interdisciplinary education. His vision integrates technological advancement with academic integrity, aiming to create enriched learning ecosystems. As he leads institutions and mentors the next generation, his future contributions are expected to extend into policy advisory, institutional development, and global research collaborations.

Publications

To Study the Factors Affecting People’s Investment Behavior Regarding Investment in Cryptocurrency
Author(s): Dr. Kishor Devidas Pakhale
Journal: Academy of Strategic Management Journal
Year: 2024

An Analytical Study of Use of Organic Fertilizers in Agricultural Development
Author(s): Balasaheb Raghunath Chakor, Dr. Kishor Devidas Pakhale
Journal: Advances in Geographical Research
Year: 2023

Analysis and Monitoring of Water Quality at Confluence of Godavari and Kadva, at Different Points, in Niphad Tehsil
Author(s): Balasaheb Raghunath Chakor, Dr. Kishor Devidas Pakhale, Prashant Maruti Hadpe
Journal: (Journal name not specified; assumed part of academic repository)
Year: 2023

The Direct Marketing Method is Preferred by the People Due to the Impact of Coronavirus in the Ahmednagar
Author(s): Dr. Kishor Devidas Pakhale
Journal: EPRA International Journal of Environmental Economics, Commerce and Educational Management
Year: 2021

Bing Cai | Computer Science | Best Researcher Award

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Mr. Bing Cai | Computer Science | Best Researcher Award

Anhui Institute of Information Technology | China

Author Profile

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Early Academic Pursuits 🎓

Mr. Bing Cai embarked on his academic journey with a strong foundation in engineering. He earned his Bachelor of Engineering in Electronics and Information Engineering from Anhui University in 2014, where he developed a keen interest in computing and information systems. His thirst for advanced knowledge led him to pursue a Master of Engineering in Computer Technology at Anhui Polytechnic University, completing his degree in 2024 with a commendable GPA of 3.36. His rigorous academic training laid the groundwork for his expertise in software development and multi-view clustering techniques.

Professional Endeavors 🌟

Mr. Cai has accumulated extensive professional experience in both academia and industry. From 2014 to 2017, he worked as a Software Engineer at iFLYTEK Co., Ltd., where he contributed to the development of Android and iOS applications. His responsibilities included designing app frameworks, optimizing performance, and conducting comprehensive testing for speech synthesis systems. His tenure at iFLYTEK honed his skills in software architecture, application development, and embedded systems testing. Transitioning to academia in 2017, Mr. Cai served as a Corporate Teacher at Anhui Institute of Information Technology. Here, he played a pivotal role in teaching Web Front-End Development, guiding students in research and graduation projects, and mentoring them for competitions. His ability to bridge theoretical knowledge with practical applications made him a valuable asset in the field of computer and software engineering education.

Contributions and Research Focus 📚

Mr. Cai's research primarily focuses on multi-view clustering, tensor subspace clustering, and machine learning methodologies. His scholarly contributions include several high-impact publications in prestigious journals such as IEEE Transactions on Multimedia, Pattern Recognition, and Signal Processing. His research introduces innovative clustering techniques using tensorized and low-rank representations, significantly advancing the field of multi-view learning. Notably, his studies on high-order manifold regularization and tensorized bipartite graph clustering have provided new insights into handling large-scale and incomplete multi-view data. His work is instrumental in improving data representation and clustering efficiency in artificial intelligence applications.

Accolades and Recognition 🏆

Mr. Cai's dedication to excellence has been recognized with several prestigious awards. In 2023, he won the Bronze Prize in the Anhui Province "Internet+" College Student Innovation and Entrepreneurship Competition, highlighting his innovative approach to problem-solving. He also received the Outstanding Paper Award from the Anhui Association for Artificial Intelligence in 2022, further cementing his reputation as a leading researcher in his field. His academic excellence was also acknowledged through the National Scholarship for Postgraduate Students in 2022, a testament to his scholarly contributions.

Impact and Influence 🌍

Mr. Cai's work has had a profound impact on both academia and industry. His contributions to multi-view clustering have influenced the development of more robust and efficient data analysis techniques in AI and machine learning. His research findings are widely cited, reflecting their significance in advancing computational intelligence. Furthermore, his role as an educator has shaped the next generation of computer scientists, inspiring students to engage in research and innovation.

Legacy and Future Contributions 🚀

With a strong foundation in research and industry, Mr. Cai is poised to make even greater contributions to the field of computer technology. His ongoing work in multi-view clustering and tensor-based machine learning will likely lead to more breakthroughs in AI-driven data processing. As he continues to explore innovative clustering methodologies, his research is expected to influence a wide range of applications, from big data analytics to artificial intelligence-driven decision-making systems. His commitment to excellence ensures that he will remain at the forefront of technological advancements in the years to come.

 

Publications

  • 📄 Multi-view subspace clustering with a consensus tensorized scaled simplex representation
    Author(s): Hao He, Bing Cai, Xinyu Wang
    Journal: Information Sciences
    Year: 2025-03

  • 📄 Tensorized Scaled Simplex Representation for Multi-View Clustering
    Author(s): Bing Cai, Gui-Fu Lu, Hua Li, Weihong Song
    Journal: IEEE Transactions on Multimedia
    Year: 2024

  • 📄 Aligned multi-view clustering for unmapped data via weighted tensor nuclear norm and adaptive graph learning
    Author(s): Bing Cai, Gui-Fu Lu, Liang Yao, Jiashan Wan
    Journal: Neurocomputing
    Year: 2024

  • 📄 Complete multi-view subspace clustering via auto-weighted combination of visible and latent views
    Author(s): Bing Cai, Gui-Fu Lu, Guangyan Ji, Weihong Song
    Journal: Information Sciences
    Year: 2024

  • 📄 Auto-weighted multi-view clustering with the use of an augmented view
    Author(s): Bing Cai, Gui-Fu Lu, Jiashan Wan, Yangfan Du
    Journal: Signal Processing
    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

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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

 

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

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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

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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

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

Shihezi University | China

Author Profile

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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

Published on by Book of 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

Published on by Book of 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