Dr. Uma Jothi | Team Building and Team Management | Excellence in Research

Published on by Leadership and Management

Dr. Uma Jothi | Team Building and Team Management | Excellence in Research

Amrita University, India

Dr. J. Uma is an accomplished academic and researcher in the fields of information technology, cloud computing, artificial intelligence, and cybersecurity. She holds a B.Tech in Information Technology, an M.E. in Computer Science and Engineering with distinction, and has submitted her Ph.D. thesis in Information and Communication Engineering at Anna University. With more than twelve years of academic experience, she has served as Assistant Professor in leading engineering institutions, contributing significantly to teaching, curriculum development, and research mentorship. Her research focuses on cloud resource allocation, deep reinforcement learning, intelligent optimization algorithms, blockchain technologies, IoT-based systems, and data security. She has published impactful journal articles in reputed outlets like Transactions on Emerging Telecommunications Technologies and Springer’s Lecture Notes in Networks and Systems, along with several book chapters and conference papers. Her work includes innovations in heuristic optimization, adversarial defenses in deep learning, and smart healthcare IoMT solutions. She is also a published patent holder in IoT-based agriculture monitoring systems and employee training platforms. Dr. Uma has organized major AICTE- and RGNIYD-funded programs, contributing to national-level capacity building in data science, IoT, and smart city technologies. Her career reflects a strong commitment to advancing research, innovation, and academic excellence.

Profiles:  ORCID

Featured Publications

Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

Published on by Leadership and Management

Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

Jawaharlal Nehru University | India

Profiles: Google Scholar | Scopus

Featured Publications

Raheja, J. L., Chaudhary, A., & Singal, K. (2011). Tracking of fingertips and centers of palm using KINECT. 2011 IEEE 3rd International Conference on Computational Intelligence, Modelling and Simulation (CIMSIM), 248–252.

Pandy, H., Chaudhary, A., & Mehrotra, D. (2014). A comparative review of approaches to prevent premature convergence in GA. Applied Soft Computing, 24, 1047–1077.

Chaudhary, A., Raheja, J. L., Das, K., & Raheja, S. (2011). Intelligent approaches to interact with machines using hand gesture recognition in natural way: A survey. International Journal of Computer Science and Engineering Survey (IJCSES), 2(1), 122–133.

Raheja, J. L., Kumar, S., & Chaudhary, A. (2013). Fabric defect detection based on GLCM and Gabor filter: A comparison. Optik, 124(23), 6469–6474.

Raheja, J. L., Mishra, A., & Chaudhary, A. (2016). Indian Sign Language recognition using SVM. Pattern Recognition and Image Analysis, 26(2), 434–441.

Mr. Muhammad Aoun | Cross-Cultural Leadership | Best Researcher Award

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Mr. Muhammad Aoun | Cross-Cultural Leadership | Best Researcher Award

Mir chakar Khan rind university of technology Dera Ghazi khan | Pakistan

Muhammad Aoun is a technology enthusiast and emerging professional with expertise in web development, database management, and cybersecurity. He has developed a solid foundation in PHP, HTML, MySQL, and Post, applying these skills in both academic and practical projects. His interests extend to machine learning, cybersecurity, and data analytics, demonstrated by his completion of multiple advanced certifications from globally recognized institutions, including Google Analytics Academy, IBM, Duke University, University of London, and CISCO. He has gained hands-on experience in advanced Google Analytics, Google Tag Manager, machine learning with Python, and foundational cybersecurity practices, including Security Operations Center (SOC) operations. Additionally, he actively participated in cybersecurity training workshops, further strengthening his technical and analytical capabilities. Aoun’s work reflects a commitment to leveraging technology for problem-solving and optimizing digital and data-driven processes. Through his ongoing pursuit of knowledge and skills in machine learning, cybersecurity, and data analysis, he is positioned to contribute effectively to technological innovation, secure systems design, and digital transformation initiatives. Recognized for his dedication and achievement in multiple domains of technology, Aoun continues to build a versatile skill set, combining web development, analytics, and cybersecurity to address contemporary challenges in IT and digital solutions.

Profile:  Google Scholar 

Featured Publications

Ahmed, U., Iqbal, K., Aoun, M., & Khan, G. (2023). Natural language processing for clinical decision support systems: A review of recent advances in healthcare. Journal of Intelligent Connectivity and Emerging Technologies, 8(2), 1–17.

Dahal, S. B., & Aoun, M. (2023). Exploring the role of machine translation in improving health information access for linguistically diverse populations. Journal of Intelligent Information Systems, 8(2), 4–6.

Idress, W. M., Abouda, K. A., Javed, R., Aoun, M., Ghadi, Y. Y., Shahzad, T., … (2025). Hybrid segmentation and 3D imaging: Comprehensive framework for breast cancer patient segmentation and classification based on digital breast tomosynthesis. Biomedical Signal Processing and Control, 100, 106992.

Aoun, M., & Sandhu, A. K. (2019). Understanding the impact of AI-driven automation on the workflow of radiologists in emergency care settings. Journal of Intelligent Connectivity and Emerging Technologies, 4(6), 1–15.

Ibrahim, F., & Aoun, M. (2022). Improving query efficiency in heterogeneous big data environments through advanced query processing techniques. Journal of Contemporary Healthcare Analytics, 6(6), 40–64.

Umar, H. G. A., Yasmeen, I., Aoun, M., Mazhar, T., Khan, M. A., & Jaghdam, I. H. (2025). Energy-efficient deep learning-based intrusion detection system for edge computing: A novel DNN-KDQ model. Journal of Cloud Computing, 14(1), 32.

Mr. Luis Martin Pomares | Resource Assessment| Best Researcher Award

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Mr. Luis Martin Pomares | Resource Assessment| Best Researcher Award

Dubai Electricity and Water Authority (DEWA) | United Arab Emirates

Luis Martín-Pomares is a leading expert in solar energy with extensive experience in solar resource assessment, remote sensing, and solar forecasting. He has held positions as Principal Scientist at the Dubai Electricity and Water Authority (DEWA) and as a Scientist at the Qatar Foundation’s QEERI, contributing to the development of regional solar atlases and advanced predictive models for photovoltaic and concentrated solar power plants. As President and Senior Project Developer at Investigaciones y Recursos Solares Avanzados S.L. (IrSOLaV), he led multi-disciplinary teams in the design and implementation of multi-MW solar projects worldwide, integrating satellite-derived irradiance data, statistical downscaling models, and deep learning for solar forecasting. His research encompasses solar irradiance estimation from geostationary and polar satellites, nowcasting systems, energy audits, and GIS-based solar resource mapping. Luis actively participates in international collaborations including the International Energy Agency (IEA) Solar Heating and Cooling tasks, COST Action 1002, and the FP7 DNIcast project. He is also a reviewer for journals such as Solar Energy, Journal of Solar Energy Engineering, and Atmospheric Measurement Techniques. His work has advanced predictive solar modeling and operational strategies for renewable energy integration, establishing him as a key contributor to the global solar energy community.

Profile: Google Scholar 

Featured Publications

Martín, L., Zarzalejo, L. F., Polo, J., Navarro, A., Marchante, R., & Cony, M. (2010). Prediction of global solar irradiance based on time series analysis: Application to solar thermal power plants energy production planning. Solar Energy, 84(10), 1772–1781.

Perez, R., Lorenz, E., Pelland, S., Beauharnois, M., Van Knowe, G., et al. (2013). Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe. Solar Energy, 94, 305–326.

Polo, J., Wilbert, S., Ruiz-Arias, J. A., Meyer, R., Gueymard, C., Suri, M., … (2016). Preliminary survey on site-adaptation techniques for satellite-derived and reanalysis solar radiation datasets. Solar Energy, 132, 25–37.

Espinar, B., Ramírez, L., Drews, A., Beyer, H. G., Zarzalejo, L. F., Polo, J., & Martín, L. (2009). Analysis of different comparison parameters applied to solar radiation data from satellite and German radiometric stations. Solar Energy, 83(1), 118–125.

Lorenz, E., Remund, J., Müller, S. C., Traunmüller, W., Steinmaurer, G., Pozo, D., … (2009). Benchmarking of different approaches to forecast solar irradiance. Proceedings of the 24th European Photovoltaic Solar Energy Conference, 21–25.

Jahangiri, M., Shamsabadi, A. A., Mostafaeipour, A., Rezaei, M., Yousefi, Y., … (2020). Using fuzzy MCDM technique to find the best location in Qatar for exploiting wind and solar energy to generate hydrogen and electricity. International Journal of Hydrogen Energy, 45(27), 13862–13875.

Dr. Morgan Swink | Operations Management | Best Researcher Award

Published on by Leadership and Management

Dr. Morgan Swink | Operations Management | Best Researcher Award

Neeley School of Business-Texas Christian University, United States

Author Profile

Scopus 

🎓 Early Academic Pursuits

Morgan Lee Swink’s academic journey is a testament to a lifelong dedication to learning and the pursuit of excellence. His academic foundation began at Southern Methodist University, where he earned a Bachelor of Science in Mechanical Engineering in 1983. This technical background gave him a solid grounding in systems thinking and problem-solving—skills that would later be pivotal in his operations and supply chain career.

Driven by a desire to merge engineering expertise with managerial acumen, Swink pursued an MBA from the University of Dallas, completing it in December 1986. This degree allowed him to bridge the gap between technical systems and strategic business decisions. His passion for deeper academic engagement led him to Indiana University’s Graduate School of Business, where he earned a Ph.D. in 1992, specializing in Operations Management with a minor in Business Strategy. His doctoral studies provided not only the analytical tools but also the strategic perspective that became the foundation of his scholarly and professional pursuits.

💼 Professional Endeavors

Morgan Lee Swink has built a remarkable academic and leadership career, culminating in his current position as the Eunice and James L. West Chair of Supply Chain Management at Texas Christian University (TCU). He also serves as the Executive Director of the Center for Supply Chain Innovation at the Neeley School of Business, where he actively leads initiatives that bridge academic research with real-world industry challenges.

Throughout his career, Swink has taken on roles that demonstrate his commitment to advancing the discipline of supply chain management. Beyond TCU, he has taught, mentored, and collaborated with students and scholars across the nation, consistently elevating the standard of teaching and research in operations and supply chain strategy. His leadership at the Center for Supply Chain Innovation showcases his belief in collaborative and applied research that delivers tangible business value.

📚 Contributions and Research Focus

Swink’s research portfolio is vast and impactful. His work primarily centers on innovation in the supply chain, particularly the integration of product and process technology development with operational processes. He delves into design and co-development strategies, offering insights into how companies can better manage and execute innovation projects in dynamic environments.

His interest in supply chain integration spans buyer-supplier relationships, the role of social networks, and the intricacies of internal cross-functional collaboration. These themes reflect his deep understanding of both the structural and interpersonal dynamics that drive supply chain effectiveness.

Furthermore, Swink is a thought leader in the domain of supply chain technologies, exploring how digital transformation and the adoption of advanced technologies—such as analytics, enterprise systems, and emerging process innovations—can reshape traditional supply chain models. His research in operations strategy is equally significant, offering valuable perspectives on the alignment of competitive priorities with capabilities and the challenges of strategic implementation in complex organizational settings.

🏅 Accolades and Recognition

Over the years, Morgan Swink has received numerous accolades that affirm his influence and excellence in the field. He is widely published in top-tier academic journals, and his work is frequently cited by scholars and practitioners alike. These honors are not just personal milestones; they reflect the broader value of his research to the academic community and industry.

In addition to formal awards, Swink is a respected voice in supply chain forums and conferences, often invited to speak or participate as an expert panelist. His positions of leadership within TCU, especially his stewardship of the Center for Supply Chain Innovation, are further recognition of the trust and admiration he commands within academic and corporate circles.

🌎 Impact and Influence

Morgan Swink’s impact transcends traditional academic boundaries. His work has shaped how organizations approach innovation, supplier collaboration, and digital integration in supply chains. By focusing on real-world applicability, Swink ensures that his research not only advances theory but also provides actionable insights for businesses navigating complex, competitive environments.

He is a mentor to many—guiding doctoral students, junior faculty, and professionals in cultivating a rigorous yet practical approach to research and problem-solving. His influence is also evident in curriculum development, where he continuously integrates cutting-edge topics into teaching, preparing students to meet future challenges head-on.

🌟 Legacy and Future Contributions

Looking ahead, Morgan Swink’s legacy is poised to grow through his ongoing commitment to blending research excellence with industry relevance. His leadership at the Center for Supply Chain Innovation will continue to foster partnerships that yield innovative solutions to modern supply chain challenges. As a scholar, he is likely to push further into the realms of AI-driven decision-making, sustainability in operations, and resilient supply networks—areas that are critical in an increasingly volatile global landscape.

Moreover, his legacy will live on in the many students and researchers he has inspired—individuals who are now contributing to the field with the same rigor and curiosity he has long modeled. In shaping minds, influencing practice, and advancing knowledge, Morgan Lee Swink stands as a beacon of innovation and thought leadership in supply chain management.

The role of direct equity ownership in supply chains

Authors: I.G. Haw, In–Mu G., M.L. Swink, W. Zhang
Journal: Journal of Operations Management
Year: 2023

 Firms’ responses to the COVID-19 pandemic

Authors: M. Klöckner, C.G. Schmidt, S.M. Wagner, M.L. Swink
Journal: Journal of Business Research
Year: 2023

Delaying supplier payments to increase buyer profits

Authors: J.J. Kovach, M.L. Swink, M. Rodríguez
Journal: Journal of Supply Chain Management
Year: 2023