Gutama Kusse Getele | Supply Chain Management | Best Researcher Award

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Assist. Prof. Dr. Gutama Kusse Getele | Supply Chain Management | Best Researcher Award

Assistant Professor | Yibin University | China

Assist. Prof. Dr. Gutama Kusse Getele is an accomplished academic and researcher with a Ph.D. in Management Science and Engineering from the University of Science and Technology Beijing (2020), an M.Sc. in Computer Science and Technology from the University of Electronic Science and Technology of China (2014), and a B.Sc. in Computer Science from Infolink College (2010). Currently serving as an Assistant Professor at Yibin University, China, Dr. Getele possesses over a decade of diverse teaching and research experience in management, information technology, and innovation systems. His interdisciplinary expertise bridges supply chain management, corporate social responsibility, and sustainable innovation in small and medium enterprises (SMEs), integrating management science with digital transformation and social impact perspectives. Dr. Getele’s research focuses on service supply chain risk management, business process reengineering, and the role of technology in enhancing organizational performance, leading to publications in prestigious SSCI and IEEE-indexed journals such as IEEE Transactions on Engineering Management, Corporate Social Responsibility and Environmental Management, and International Journal of Emerging Markets. He has participated in international collaborative research projects and academic conferences, contributing to global management and sustainability discourse. His research skills include quantitative and qualitative data analysis, cryptography, project management, and strategic modeling. Dr. Getele has received several certificates of academic excellence and reviewer recognition, including awards from the Asian Journal of Education and Social Studies and Tsinghua University’s innovation training program. In addition to his academic pursuits, he is actively engaged in mentoring students, promoting cross-cultural understanding, and fostering academic collaborations between Africa and Asia. With a growing international research profile, Dr. Getele continues to contribute significantly to advancing management science and sustainable development. Citations: 91 | Documents: 16 | h-index: 7.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

  1. Zhou, T., & Getele, G. K. (2025, March). Determinants of competitive advantage through achieving pharmaceutical supply chain management capabilities in the Ethiopian healthcare sector. SCM: An International Journal.

  2. Xiangfeng, X., Getele, G. K., & Zhou, T. (2025, March). Determinants of inter-organizational cooperation in SMEs innovation. Technology Analysis & Strategic Management.

  3. Bolortuya, P., Weida, H., Arrive, J., & Getele, G. K. (2025, January). The impact of corporate social responsibility on educational management: Evidence from learner tendencies. Journal of Educational Management Studies.

  4. Getele, G. K., & Ruoliu, X. (2023, February). Service supply chain risk management in the public healthcare sector. International Journal of Emerging Markets.

  5. Kholaif, M. M. N. H. K., Ming, X., & Getele, G. K. (2022, August). Post COVID-19’s opportunities for customer-centric green supply chain management and customers’ resilience: The moderate effect of corporate social responsibility. International Journal of Emerging Markets.

Maryam Khokhar | Supply Chain Management | Best Researcher Award

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Dr. Maryam Khokhar | Supply Chain Management | Best Researcher Award

Postdoctoral Researcher | Tongji University | Pakistan

Dr. Maryam Khokhar is a dedicated scholar and postdoctoral researcher at the School of Economics and Management, Tongji University, Shanghai, China, with over eleven years of academic and corporate experience. She earned her Ph.D. in Management Science and Engineering with a specialization in Supply Chain Management from Yanshan University, China, in 2023, following an MBA in Finance (2017) and a BBA (Hons.) in Business Studies (2014) from the University of Sindh, Pakistan. Professionally, she has served as Senior Assistant Professor at Bahria University Karachi, and as visiting faculty at Sir Syed University of Engineering and Technology and Federal Urdu University of Arts, Science & Technology, contributing extensively to teaching, curriculum development, and program leadership. Her research interests include supply chain management, supply chain resilience, sustainability, corporate social responsibility, AI-driven business innovation, and greenwashing. Skilled in advanced research methodologies, multi-criteria decision-making models, and data analytics, she has published widely in internationally reputed journals indexed in Scopus, ABS, and ABDC, and has presented at global conferences and research workshops. Dr. Khokhar has secured competitive research funding from national and international agencies, successfully supervised Ph.D., postgraduate, and undergraduate research projects, and held leadership roles including Head of Department and Advisory Board member for Harvard Business Review (2024). She has also edited books, contributed chapters for reputable publishers, and served as guest editor for special issues of impact factor journals. Recognized for her commitment to advancing knowledge, she has received multiple research grants, contributed to community development initiatives, and engaged in academic leadership that bridges theory and practice. With a growing international presence, she aims to expand her contributions through Q1 journal publications, global collaborations, and editorial leadership. To date, she has 337 citations, 25 indexed documents, and an h-index of 10, reflecting her growing scholarly impact and potential for global leadership in supply chain and sustainability research.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn

Featured Publications

  1. Khokhar, M., Hou, Y., Rafique, M. A., & Iqbal, W. (2020). Evaluating the social sustainability criteria of supply chain management in manufacturing industries: A role of BWM in MCDM. Problemy Ekorozwoju, 15(2), 185–194. Citations: 110

  2. Khokhar, M., Iqbal, W., Hou, Y., Abbas, M., & Fatima, A. (2020). Assessing supply chain performance from the perspective of Pakistan’s manufacturing industry through social sustainability. Processes, 8(9), 1064. Citations: 109

  3. Khokhar, M., Zia, S., Islam, T., Sharma, A., Iqbal, W., & Irshad, M. (2022). Going green supply chain management during COVID-19: Assessing the best supplier selection criteria using a triple bottom line (TBL) approach. Problemy Ekorozwoju, 17(1), 36–51. Citations: 94

  4. Hailiang, Z., Khokhar, M., Islam, T., & Sharma, A. (2023). A model for green-resilient supplier selection: Fuzzy best–worst multi-criteria decision-making method and its applications. Environmental Science and Pollution Research, 30(18), 54035–54058. Citations: 70

  5. Hou, Y., Khokhar, M., Khan, M., Islam, T., & Haider, I. (2021). Put safety first: Exploring the role of health and safety practices in improving the performance of SMEs. Sage Open, 11(3), 21582440211032173. Citations: 69

Mohsin Hasan | Management science and engineering | Best Researcher Award

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Mr . Mohsin Hasan | Management science and engineering | Best Researcher Award

Student at Nanjing University of Aeronautics and Astronautics , China

Mohsin Hasan is a dedicated and impactful researcher currently pursuing a PhD in Management Science and Engineering at Nanjing University of Aeronautics and Astronautics, China. His research focuses on epileptic seizure prediction using advanced machine learning techniques, including LSTM, SHAP, and deep neural networks, addressing a critical healthcare challenge. With publications in top-tier SCIE-indexed journals such as Engineering Applications of Artificial Intelligence and Annals of Operations Research, he demonstrates strong academic rigor and innovation. Mohsin possesses expertise in Python programming, big data analysis, and research writing, supported by a multi-disciplinary academic background in sociology. He has also actively contributed to community health initiatives in Pakistan, reflecting a blend of technical and social impact. While improved English proficiency and expanded international collaboration could enhance his profile, his current achievements make him a strong candidate for the Best Researcher Award, showcasing both research excellence and real-world relevance.

Professional Profile

Education🎓

Mohsin Hasan has a diverse and interdisciplinary educational background that bridges social sciences and engineering. He is currently pursuing a PhD in Management Science and Engineering at Nanjing University of Aeronautics and Astronautics in China, with a research focus on epileptic seizure prediction using machine learning and deep learning techniques. Prior to his doctoral studies, he completed an M.S. in Rural Sociology from the University of Agriculture Faisalabad and a Master’s degree in Sociology from the University of Sargodha, Pakistan. His academic journey began with a Bachelor of Arts from Government College University Faisalabad, followed by intermediate studies at Government Islamia College Chiniot and matriculation at Government High School Chak No. 152 JB Chiniot. Throughout his education, Mohsin has developed strong skills in Python programming, big data analysis, and research writing, positioning him to apply advanced technological solutions to both social and engineering problems, particularly in healthcare and community development.

Professional Experience📝

Mohsin Hasan has a well-rounded professional background that spans academic research and community development. Currently, he is engaged in cutting-edge research as a PhD scholar, working on epileptic seizure prediction using machine learning, with multiple SCIE-indexed publications to his name. His earlier professional experience includes various social outreach and coordination roles across Pakistan. As a Social Outreach Worker with UNODC, he led awareness campaigns and community mobilization for drug addiction treatment. He also served as Supervisor for the Sehat Sahulat Insaaf Card project with RCDP, managing field staff and overseeing healthcare card distribution. As a Dosti Coordinator with Muslim Hands International, he trained teachers and encouraged school enrollment and student participation in extracurricular activities. Additionally, he worked as an Assistant Constituency Coordinator for the FAFEN Election Project, monitoring electoral processes and data collection. His experience demonstrates a strong blend of technical expertise, leadership, and community-oriented service.

Research Interest🔎

Mohsin Hasan’s research interests lie at the intersection of artificial intelligence, healthcare, and data science, with a strong focus on real-world applications that enhance human well-being. His primary area of interest is the prediction and classification of epileptic seizures using advanced machine learning and deep learning techniques, including Long Short-Term Memory (LSTM), Kolmogorov Arnold Network Theorem, SHAP-driven feature analysis, and attention-based neural networks. He is particularly passionate about leveraging electroencephalography (EEG) data to develop interpretable and accurate models for early seizure detection. His research also extends to reliability engineering, operational research, and the integration of AI in medical diagnostics. With a background in sociology and rural development, Mohsin brings a unique, human-centered approach to technological innovation, aiming to bridge the gap between data-driven solutions and community health challenges. His interdisciplinary perspective fuels his commitment to creating scalable, impactful tools for healthcare and beyond, particularly in under-resourced and developing contexts.

Award and Honor🏆

Mohsin Hasan has earned recognition for his dedication to academic excellence and impactful research, positioning him as a strong candidate for prestigious honors. His most notable achievement is his contribution to high-impact, SCIE-indexed journals such as Engineering Applications of Artificial Intelligence and Annals of Operations Research, where his research on epileptic seizure prediction has gained international attention. In addition to academic publications, Mohsin has been involved in global policy discussions and training sessions, including regional dialogues hosted by the Asian Institute of Technology and certification courses by the World Health Organization on emerging health threats and COVID-19 response. His ability to translate complex data science techniques into meaningful healthcare solutions reflects both innovation and social commitment. These accomplishments highlight his exceptional talent, work ethic, and relevance in critical global issues. Such recognition not only underscores his scholarly contributions but also establishes him as a deserving candidate for awards celebrating research excellence and societal impact.

Research Skill🔬

Mohsin Hasan possesses a comprehensive set of research skills that enable him to conduct advanced, data-driven investigations with real-world impact. He is highly proficient in Python programming and well-versed in tools such as Jupyter Notebook, PyCharm, and Google Colab, which he utilizes for building and testing machine learning models. His core expertise lies in deep learning, particularly in applying algorithms like Long Short-Term Memory (LSTM), 1D-ResNet, and attention mechanisms for medical data analysis, especially EEG-based epileptic seizure prediction. Mohsin is skilled in big data analytics, neural network development, and SHAP-based model interpretation, which enhances the transparency and usability of AI models. Additionally, he is experienced in academic research writing, LaTeX formatting, and data visualization using software like Edraw Max and Visio. His ability to integrate technical depth with scientific communication, along with a strong foundation in statistical methods and real-time problem-solving, marks him as a capable and innovative researcher.

Conclusion💡

✅ Yes, Mohsin Hasan is a strong and deserving candidate for the Best Researcher Award.

His profile demonstrates a rare and valuable combination of technical AI research, medical applications, and community-level engagement. His high-quality publications, technical skills, and international academic involvement position him as a rising researcher with significant impact potential.

Publications Top Noted✍

  • Title: Long Short-Term Memory and Kolmogorov Arnold Network Theorem for Epileptic Seizure Prediction

  • Authors: Mohsin Hasan, Xufeng Zhao, Wenjuan Wu, Jiafei Dai, Xudong Gu, Asia Noreen

  • Year: 2025

  • Journal: Engineering Applications of Artificial Intelligence

  • Volume and Issue: Volume 154

  • Pages: Article 110757

  • Publisher: Elsevier

  • Indexing: SCIE

  • Citation Format (APA Style):
    Hasan, M., Zhao, X., Wu, W., Dai, J., Gu, X., & Noreen, A. (2025). Long Short-Term Memory and Kolmogorov Arnold Network Theorem for epileptic seizure prediction. Engineering Applications of Artificial Intelligence, 154, 110757. https://doi.org/10.1016/j.engappai.2025.110757 (DOI placeholder if needed)