Zhaozhen Jiang | Computer Science | Best Research Article Award

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Dr. Zhaozhen Jiang | Computer Science | Best Research Article Award

Assistant Researcher | Naval Submarine Academy | China

Dr. Zhaozhen Jiang is a distinguished researcher at the Navy Submarine Academy in Qingdao, China, specializing in intelligent systems, maritime navigation, and dynamic target search. His research focuses on the development of advanced path-planning algorithms and neural network–based optimization techniques for complex maritime environments. He has published extensively and collaborated widely with researchers across multiple disciplines, reflecting a strong commitment to interdisciplinary innovation. His recent work on GBNN-based maritime dynamic target search demonstrates a focus on enhancing operational decision-making and situational awareness in challenging naval contexts. Through his research, he aims to advance autonomous maritime systems and contribute to safer, more efficient naval operations, while fostering technological progress with meaningful societal impact.

Citation Metrics (Scopus)

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View Scopus Profile

Featured Publications

Ibrahim Alusine Kebe | Business, Management and Accounting | Best Researcher Award

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Mr. Ibrahim Alusine Kebe | Business, Management and Accounting | Best Researcher Award

Phd Candidate at Beijing Jiaotong University, Sierra Leone

Ibrahim Alusine Kebe is a dedicated researcher and academic specializing in human resource management, leadership, and organizational behavior. Currently pursuing a PhD in Business Administration at Beijing Jiaotong University, he holds an MBA and a first-class BSc in Business Administration from the University of Sierra Leone. His research focuses on leadership’s impact on employee performance and organizational sustainability, with publications in reputable journals such as Sustainability and International Journal of Research and Innovation in Social Science. As a lecturer at the Institute of Public Administration and Management (IPAM), he mentors students and contributes to curriculum development. Beyond academia, he is actively involved in youth mentorship, serving as a mentor at Mentor X Africa and a board member of the Patriotic Advocacy Network. Recognized for his leadership, he has received numerous accolades, including a nomination for the African Genius Award. Passionate about public speaking and youth empowerment, he continues to shape future leaders.

Professional Profile 

Education

Ibrahim Alusine Kebe has a strong academic background in business administration and higher education quality assurance. He is currently pursuing a PhD in Business Administration at Beijing Jiaotong University (2022–2025), focusing on leadership, human resource management, and organizational performance. In 2022, he earned a Postgraduate Diploma in Quality Assurance in Higher Education Institutions from the University of Makeni, Sierra Leone, demonstrating his commitment to academic excellence and institutional development. He previously obtained a Master of Business Administration (MBA) from the Institute of Public Administration and Management (IPAM), University of Sierra Leone, in 2020, where he specialized in strategic management, international relations, and performance management. His academic journey began with a first-class Bachelor of Science (Hons) degree in Business Administration from IPAM in 2017, where he developed expertise in human resource management, project management, and comparative business strategies. His diverse educational background equips him with a strong foundation for research and leadership.

Professional Experience

Ibrahim Alusine Kebe has extensive professional experience in academia and research, specializing in human resource management, leadership, and organizational behavior. Since 2018, he has been a Lecturer at the Institute of Public Administration and Management (IPAM), University of Sierra Leone, where he teaches courses in leadership, public speaking, and management techniques while mentoring students in academic research. Additionally, he has been an Assistant Lecturer at IMATT College since 2016, conducting part-time lectures and facilitating workshops for students and faculty. His previous role as a Work-Study Assistant at IPAM (2016–2018) involved supporting the Business Administration Department with administrative tasks and academic research. Beyond academia, he has contributed to youth advocacy and mentorship, serving as a board member of The Patriotic Advocacy Network and mentoring young professionals through Mentor X Africa. His leadership and research skills, coupled with a strong academic presence, position him as a dedicated educator and mentor.

Research Interest

Ibrahim Alusine Kebe’s research interests primarily focus on human resource management, leadership, organizational behavior, and business sustainability. He is particularly passionate about exploring the impact of leadership styles on employee performance, cultural adaptability in leadership, and change management in developing economies. His research also delves into the relationship between human resource development and organizational performance, with a strong emphasis on the banking sector in Sierra Leone. Through his academic work, he seeks to bridge the gap between theoretical models and real-world business challenges, providing insights that can drive strategic decision-making and sustainable business growth. His recent studies, published in reputable journals, examine culturally attuned leadership and its influence on employee behavior during organizational changes. With a strong foundation in both qualitative and quantitative research methodologies, he continues to contribute to the evolving discourse on leadership, workforce management, and business transformation in emerging markets.

Award and Honor

Ibrahim Alusine Kebe has received several prestigious awards and honors in recognition of his contributions to academia, leadership, and youth mentorship. In 2022, he was a top 20 nominee for the African Genius Award, acknowledging his impactful work in education and leadership. He was also honored as the Emerging Visionary of the Year by Concord Times in 2019 and was listed among the 50 Influential Young Sierra Leoneans for 2019/20. His exceptional public speaking and mentorship efforts have earned him national and international recognition, allowing him to deliver keynote speeches at over 60 professional conferences and youth development events. As a verified mentor with Mentor X Africa, he has guided countless young professionals. Additionally, his leadership in youth advocacy through the Patriotic Advocacy Network has solidified his reputation as a dedicated change-maker. His commitment to education, research, and community development continues to earn him widespread recognition.

Research Skill

Ibrahim Alusine Kebe possesses strong research skills, specializing in both qualitative and quantitative methodologies. He is proficient in statistical analysis tools such as SPSS and SMARTPLS, enabling him to conduct in-depth data analysis and derive meaningful insights from complex datasets. His expertise extends to research design, data collection, hypothesis testing, and report writing, allowing him to produce high-quality academic publications. His research focuses on human resource management, leadership, and organizational behavior, with a particular interest in the impact of leadership styles on employee performance and business sustainability. He has published in reputable international journals, demonstrating his ability to contribute valuable knowledge to his field. Additionally, his experience as a lecturer has strengthened his ability to mentor students in research, guiding them through the academic writing process. His analytical thinking, attention to detail, and ability to synthesize information make him a highly skilled researcher with significant academic contributions.

Conclusion

Ibrahim Alusine Kebe is a highly promising candidate for the Best Researcher Award due to his strong research background, academic contributions, leadership in mentorship, and societal impact. While he already demonstrates excellence in research and leadership, focusing on publishing in more high-impact journals, expanding global collaborations, and broadening research topics could further strengthen his candidature. Overall, he is a deserving nominee with significant potential for future contributions to academia and society.

Publications Top Noted

  • An Investigation into the Relationship between Human Resource Development on Organizational Performance: A Case Study of United Bank for Africa-Sierra Leone (UBA-SL)

    • Authors: SA Nuni, IA Kebe
    • Year: 2020
    • Citations: 2
    • Journal: International Journal of Research and Innovation in Social Science (Volume 7, Issue 8)

  • Business Sustainability through Change Management: Case Study – Rokel Commercial Bank (RCB)

    • Authors: SA Nuni, IA Kebe
    • Year: 2021
    • Citations: 1
    • Journal: International Journal of Research and Innovation in Social Science (Volume 5, Pages 338-344)

  • Charting Success: The Influence of Leadership Styles on Driving Sustainable Employee Performance in the Sierra Leonean Banking Sector

    • Authors: IA Kebe, C Kahl, Y Liu
    • Year: 2024
    • Journal: Sustainability (Volume 16, Issue 21, Article 9600)

Danica Babic | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Danica Babic | Engineering | Best Researcher Award

University of Belgrade, Faculty of Transport and Traffic Engineering, Serbia

Prof. Dr. Danica Babić is an esteemed expert in air transport and traffic engineering, with extensive academic, research, and consultancy experience. She specializes in airline planning, transportation networks, and air passenger demand forecasting. With over 50 published papers in leading scientific journals and conference proceedings, she has made significant contributions to the field. Dr. Babić has been actively involved in international research projects, including FP7 and Horizon 2020, and has participated in numerous conferences and workshops worldwide. Her expertise extends to consulting in airport planning, network recovery, and aviation operations. She is also a program committee member of TRANSCODE and has delivered lectures on AI in aviation at global forums.

Professional Profile

Education

Dr. Babić earned her Ph.D. in Engineering (Air Transportation) from the University of Belgrade – Faculty of Transport and Traffic Engineering (UB-FTTE) in 2015, with a dissertation focused on network structure and airline scheduling optimization. Prior to that, she completed her Master’s degree in 2009 and a Bachelor’s degree in 2005, both in Air Transport Engineering from UB-FTTE. She has also participated in specialized training programs and workshops, including courses on air transport economics, risk analysis, and multimodal transport organized by leading institutions like EUROCONTROL and SESAR JU.

Professional Experience

Dr. Babić has been a faculty member at the University of Belgrade – Faculty of Transport and Traffic Engineering since 2005, holding positions ranging from Teaching Assistant to her current role as an Associate Professor. She has contributed to major research initiatives, including the European Commission-funded FP7 TRANSTOOLS 3 project and the Horizon 2020 SYN+AIR project. In addition to academia, she has served as a consultant on projects related to airline schedule optimization, airport design, and aviation demand modeling. Notably, she was involved in the sustainability study for Airport Konstantin Veliki in Niš and the technical documentation for the Pljevlja Airport and Heliport project.

Research Interests

Dr. Danica Babić’s research primarily focuses on air transport planning and optimization, with a particular emphasis on airline scheduling, airport operations, and aviation demand forecasting. She explores the complexities of airline network structures, flight scheduling efficiency, and multimodal transportation integration. Her work contributes to enhancing operational resilience in the aviation industry, optimizing passenger and cargo transport flows, and improving decision-making in air transport systems. Additionally, she is deeply involved in data-driven analysis and AI applications in aviation, leveraging machine learning and advanced statistical modeling to predict air travel demand, assess airline performance, and optimize network recovery strategies. Her research extends to the role of artificial intelligence in air traffic management, disruption management, and capacity planning. Dr. Babić is also engaged in sustainability and environmental impact assessment within aviation, working on projects related to emissions reduction, green airport initiatives, and the integration of alternative fuels to support eco-friendly air transport development.

Awards and Honors

Dr. Danica Babić has received numerous academic and professional recognitions for her contributions to the field of air transport and traffic engineering. She has been honored by the University of Belgrade for her excellence in research and teaching, recognizing her significant role in advancing aviation studies. Her doctoral thesis on “Network Structure and Airline Scheduling Optimization” was highly regarded and contributed to innovations in airline operations. She has also been recognized by international organizations for her contributions to aviation research, including her involvement in prestigious EU-funded projects like FP7 Transtools 3 and Horizon 2020 SYN+AIR. As a program committee member of the International Conference on Science and Development of Transport (TRANSCODE), she has played a key role in shaping aviation research discussions.

Conclusion

Prof. Dr. Danica Babić is a highly qualified and accomplished researcher in air transport and traffic engineering. Her extensive research publications, EU project contributions, consultancy experience, and academic leadership make her a strong candidate for the Best Researcher Award. Strengthening her global collaborations, leading independent research initiatives, and acquiring additional international recognitions would further enhance her qualifications.

Overall, she is a highly deserving nominee with impactful research in transportation and aviation. 🚀

Publications Top Noted

  1. Market share modeling in airline industry: An emerging market economies application
    • Authors: D. Babić, J. Kuljanin, M. Kalić
    • Year: 2014
    • Citations: 27
  2. Modeling the selection of airline network structure in a competitive environment
    • Authors: D. Babić, M. Kalić
    • Year: 2018
    • Citations: 22
  3. Integrated door-to-door transport services for air passengers: From intermodality to multimodality
    • Authors: D. Babić, M. Kalić, M. Janić, S. Dožić, K. Kukić
    • Year: 2022
    • Citations: 20
  4. Airport Access Mode Choice: Analysis of Passengers’ Behavior in European Countries
    • Authors: A. Colovic, S.G. Pilone, K. Kukić, M. Kalić, S. Dožić, D. Babić, M. Ottomanelli
    • Year: 2022
    • Citations: 13
  5. The airline schedule optimization model: Validation and sensitivity analysis
    • Authors: O. Babić, M. Kalić, D. Babić, S. Dožić
    • Year: 2011
    • Citations: 11
  6. An AHP approach to airport choice by freight forwarder
    • Authors: S. Dožić, D. Babić, M. Kalić, S. Živojinović
    • Year: 2023
    • Citations: 9
  7. Airline route network expansion: Modelling the benefits of slot purchases
    • Authors: D. Babić, M. Kalić
    • Year: 2012
    • Citations: 9
  8. Recent trends in assessment of proposed consolidations in EU airline industry – From discretion to arbitrariness
    • Authors: D. Pavlović, D. Babić
    • Year: 2018
    • Citations: 8
  9. IMPACT OF COVID-19 ON THE AVIATION INDUSTRY: An overview of global and some local effects
    • Authors: M. Kalić, D. Babić, S. Dožić, J. Kuljanin, N. Mijović
    • Year: 2022
    • Citations: 6
  10. Predicting air travel demand using soft computing: Belgrade airport case study
  • Authors: M. Kalić, S. Dožić, D. Babić
  • Year: 2012
  • Citations: 6
  1. Efikasnost aviokompanija u Evropskoj uniji: Primena AHP i DEA metoda
  • Authors: S. Dožić, D. Babić
  • Year: 2015
  • Citations: 4
  1. Modelling the estimation of the airline profit in case of purchasing new slots for increasing flight frequency
  • Authors: D. Babić, M. Kalić
  • Year: 2011
  • Citations: 4
  1. Introduction to the air transport system
  • Authors: M. Kalić, S. Dožić, D. Babić
  • Year: 2022
  • Citations: 3

Adem Pinar | Decision Sciences | Academic and Industrial Synergy Award

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Assist Prof Dr. Adem Pinar | Decision Sciences | Academic and Industrial Synergy Award

Faculty member at the School of Business at Shenandoah University, Winchester, VA, United States

Adem Pinar is a distinguished academic and logistics expert currently serving at the School of Business, Shenandoah University, Virginia. With a diverse background that includes military logistics and academia, he brings over 20 years of experience to his roles. Adem’s journey began in Turkey, where he excelled in logistics and supply chain management. He has since transitioned to teaching and research, focusing on performance evaluation and decision-making methodologies within supply chain contexts. His multidisciplinary approach combines theoretical knowledge with practical insights gained from extensive experience in military logistics and NATO operations. Adem is committed to fostering innovation in logistics education, bridging the gap between academic theories and real-world applications, making him a valuable asset to both the academic community and the industry.

Professional Profile

Education

Adem Pinar holds an impressive academic background, beginning with a Bachelor’s in Systems Engineering from the Turkish War Academy. He furthered his studies, obtaining a Master’s in International Relations from Trakya University and a Master’s in Information Systems from the Middle East Technical University, ranked highly in Turkey. His academic journey culminated in a Ph.D. in Supply and Logistics Management from Gazi University, where his dissertation focused on evaluating supplier performance using advanced fuzzy set methodologies. Adem’s diverse educational credentials provide a robust foundation for his current research and teaching, equipping him with both technical expertise and a comprehensive understanding of international security and strategic planning. This solid educational background has enabled him to effectively blend academic rigor with practical insights in his current roles.

Professional Experience

Adem Pinar’s professional experience spans both military and academic environments, showcasing his expertise in logistics and supply chain management. He served as a Senior Logistics Officer for the Turkish Armed Forces, where he played a pivotal role in strategic logistics planning for cross-border operations. His experience with NATO further enhanced his logistics expertise, culminating in his role as a member of the NATO Logistics Committee Executive Group. In academia, Adem has held positions at multiple institutions, including Siena College and the University of Turkish Aeronautical Association, teaching various undergraduate and graduate courses in logistics and operations management. Currently, he is an Assistant Professor at Shenandoah University, where he continues to engage students while conducting impactful research. This combination of military and academic experience allows Adem to provide a unique perspective on supply chain challenges, making him a sought-after expert in his field.

Research Interests

Adem Pinar’s research interests lie primarily in supply chain management, logistics, and decision-making methodologies. He specializes in the application of fuzzy set theory to complex decision-making problems, particularly in the context of supplier selection and performance evaluation. His work employs advanced techniques such as q-rung orthopair fuzzy sets to address uncertainty and enhance decision-making processes. Additionally, Adem explores topics related to cybersecurity in supply chains, aiming to optimize operational resilience and mitigate risks in logistics systems. His commitment to applied research is evident through his numerous publications in peer-reviewed journals, where he addresses both theoretical frameworks and practical applications. By integrating academic research with industry needs, Adem aims to develop innovative solutions that enhance supply chain efficiency and sustainability.

Awards and Honors

Throughout his career, Adem Pinar has received numerous awards and honors in recognition of his exemplary service and contributions to the field of logistics. His military tenure earned him over 40 honors from NATO and the Turkish Armed Forces, including the prestigious medal for Logistic and Administrative Service from the Deputy General Chief of Staff. In academia, Adem has been acknowledged for his impactful research, evidenced by his extensive publication record and citations. His work has significantly influenced decision-making processes in logistics and supply chain management, showcasing his commitment to advancing the field. Adem’s dedication to education and mentorship has also been recognized through various awards, highlighting his role in shaping future professionals in logistics. These accolades reflect his expertise and commitment to excellence, further solidifying his reputation as a leading figure in logistics and supply chain research.

Conclusion

Adem Pinar exhibits a strong profile that aligns well with the criteria for the Research for Academic and Industrial Synergy Award. His robust academic qualifications, extensive research output, and practical experience in logistics provide a solid foundation for impactful contributions to both academia and industry. By enhancing interdisciplinary collaboration and increasing the practical application of his research, Adem could further strengthen his candidacy for this award. Overall, he demonstrates significant potential for fostering valuable academic-industrial partnerships.

Publication top noted

  • 📝 Article
    Author(s): Kasimoglu, F., Bayeg, S., Pinar, A., Utku, D.H.
    Year: 2024
    Title: A trapezoidal intuitionistic fuzzy optimization approach for crashing a budget constrained project
    Citations: 1
  • 📝 Article (in Press)
    Author(s): Pinar, A.
    Year: 2023
    Title: An integrated sentiment analysis and q-rung orthopair fuzzy MCDM model for supplier selection in E-commerce: a comprehensive approach
    Citations: 1
  • 📝 Article
    Author(s): Pinar, A., Boran, F.E.
    Year: 2022
    Title: A novel distance measure on q-rung picture fuzzy sets and its application to decision making and classification problems
    Citations: 28
  • 📚 Book Chapter
    Author(s): Pinar, A., Boran, F.E.
    Year: 2022
    Title: 3PL Service Provider Selection with q-Rung Orthopair Fuzzy Based CODAS Method
    Citations: 2
  • 📚 Book Chapter
    Author(s): Pinar, A.
    Year: 2022
    Title: Supplier Evaluation with Q-Rung Orthopair Fuzzy-Based COPRAS Method
    Citations: 0
  • 📝 Article
    Author(s): Pinar, A., Erdebilli, B.D.R.B., Özdemir, Y.S.
    Year: 2021
    Title: Q-rung orthopair fuzzy topsis method for green supplier selection problem
    Citations: 62
  • 📝 Article
    Author(s): Pinar, A., Boran, F.E.
    Year: 2020
    Title: A q-rung orthopair fuzzy multi-criteria group decision making method for supplier selection based on a novel distance measure
    Citations: 92

 

Yazhou Zhang | Natural Language Processing | Best Researcher Award

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🌟Assist Prof Dr. Yazhou Zhang, Natural Language Processing, Best Researcher Award🏆

  •  Assistant Professor at Zhengzhou University of Light Industry, China

Dr. Yazhou Zhang is a distinguished researcher and educator in the field of computer science, specializing in natural language processing and sentiment analysis. With a Ph.D. from Tianjin University, he has made significant contributions to the development of large language models (LLMs) and their application in understanding human emotions across various modalities. Dr. Zhang’s expertise extends to quantum cognition, where he explores novel approaches to multi-modal sentiment analysis. Currently serving as a Lecturer at Software Engineering College, Zhengzhou University of Light Industry, he continues to drive advancements in emotion recognition and medical analysis.

Author Metrics:

Dr. Yazhou Zhang’s research has garnered significant attention, as evidenced by his Google Scholar citation count of 1234. He maintains an active presence in the academic community, regularly publishing impactful research papers and contributing to conferences and workshops.

Scopus Profile

ORCID Profile

Google Scholar Profile

Dr. Yazhou Zhang, affiliated with Zhengzhou University of Light Industry in Zhengzhou, China, has a Scopus Author Identifier with a significant citation count of 916 from 736 documents. provides further information about his research contributions and publications. Dr. Zhang has authored 49 documents, achieving an h-index of 16, reflecting the impact and influence of his work in the field.

Education:

Dr. Yazhou Zhang earned his Ph.D. in Computer Science and Technology from Tianjin University. During his doctoral studies, he focused on conversational sentiment analysis, quantum cognition, and natural language processing.

Research Focus:

Dr. Zhang’s research primarily revolves around the utilization of LLMs for sentiment analysis, emotion recognition, and multi-modal data processing. He is particularly interested in exploring the intersection of quantum theory and computational linguistics to develop innovative models for understanding human emotions across different communication channels.

Professional Journey:

After completing his Ph.D., Dr. Zhang embarked on an academic career, serving as a Lecturer at Software Engineering College, Zhengzhou University of Light Industry. He also held a postdoctoral fellowship at The Hong Kong Polytechnic University, where he furthered his research in natural language processing and emotion analysis.

Honors & Awards:

Dr. Zhang’s outstanding contributions have been recognized through various honors and awards, although specific details are not provided in the provided information.

Publications Top Noted & Contributions:

Dr. Zhang has authored numerous publications in prestigious conferences and journals, focusing on topics such as multi-modal sentiment analysis, bias mitigation in emotion recognition, and the application of LLMs in medical analysis. His research has significantly advanced the understanding of human emotions in digital communication.

Exploring EEG features in cross-subject emotion recognition

  • Authors: X Li, D Song, P Zhang, Y Zhang, Y Hou, B Hu
  • Published in Frontiers in Neuroscience in 2018, volume 12, page 162.
  • This article has received 302 citations.

EEG based emotion recognition: A tutorial and review

  • Authors: X Li, Y Zhang, P Tiwari, D Song, B Hu, M Yang, Z Zhao, N Kumar, …
  • Published in ACM Computing Surveys in 2022, volume 55, issue 4, pages 1-57.
  • This article has received 104 citations.

Covid-transformer: Interpretable COVID-19 detection using vision transformer for healthcare

  • Authors: D Shome, T Kar, SN Mohanty, P Tiwari, K Muhammad, A AlTameem, …
  • Published in the International Journal of Environmental Research and Public Health in 2021, volume 18, issue 21, page 11086.
  • This article has received 97 citations.

Learning interaction dynamics with an interactive LSTM for conversational sentiment analysis

  • Authors: Y Zhang, P Tiwari, D Song, X Mao, P Wang, X Li, HM Pandey
  • Published in Neural Networks in 2021, volume 133, pages 40-56.
  • This article has received 75 citations.

A quantum-inspired multimodal sentiment analysis framework

  • Authors: Y Zhang, D Song, P Zhang, P Wang, J Li, X Li, B Wang
  • Published in Theoretical Computer Science in volume 752, pages 21-40.
  • This article’s citation count is not provided.

Research Timeline:

Starting from his doctoral studies, Dr. Zhang’s research journey has been marked by continuous exploration and innovation in the field of natural language processing and sentiment analysis. His contributions span various aspects of multi-modal data processing, emotion recognition, and the application of advanced computational models in understanding human behavior. Through his ongoing efforts, Dr. Zhang continues to push the boundaries of research in his field, with a focus on developing practical solutions for real-world problems.