Ali Raza Shaikh | Mechanical Engineering | Research Excellence Award

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Mr. Ali Raza Shaikh | Mechanical Engineering | Research Excellence Award

Technical University of Darmstadt | Germany

Ali Raza Shaikh is a dedicated mechanical engineer and researcher specializing in fluid mechanics, heat transfer, ice adhesion, aerodynamics, and surface-interface science. He holds a B.Eng. in Mechanical Engineering, an M.Eng. in Power Engineering and Engineering Thermophysics, and is currently pursuing a Dr.-Ing. in Mechanical Engineering. With extensive research and practical experience, he has developed experimental setups, conducted thermal-fluid and droplet impact studies, and contributed to advancements in superhydrophobic and anti-icing surfaces. He has served as a research assistant in the MSCA-ITN SURFICE project, conducted industrial research internships, and held graduate research positions, collaborating on international projects and presenting findings at leading conferences. His technical expertise spans experimental design, surface characterization, high-speed imaging, and numerical simulations, complemented by proficiency in MATLAB, Python, LabView, CAD, and LaTeX. His research interests focus on ice adhesion dynamics, surface wetting, thermal-fluid interactions, and functional surface design. Ali has actively participated in workshops and training schools worldwide, contributing to knowledge exchange and innovation in engineering applications. His dedication to advancing research and practical solutions in fluid mechanics and surface science underscores his commitment to scientific excellence and technological development.

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Featured Publications


Transient testing of tensile ice adhesion

– Cold Regions Science and Technology, 2025

Ice adhesion dynamics in the tensile mode

– Smart Surface Design for Efficient Ice Protection and Control, 2025

The physics of icing

– Smart Surface Design for Efficient Ice Protection and Control, 2025

Understanding the physics of ice adhesion on complex substrates

– International Conference on Icing of Aircraft, Engines, and Structure, 2023

Fangdi Ye | Offshore Wind Power | Research Excellence Award

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Mr. Fangdi Ye | Offshore Wind Power | Research Excellence Award

Zhejjiang Provincial Energy Group Company Ltd | China

Mr. Fundi is an accomplished energy-sector professional associated with Zhejiang Provincial Energy Group Company Ltd., where he contributes to the advancement of China’s offshore wind power initiatives. He holds an academic background in engineering and renewable energy management, building a solid foundation for his work in large-scale clean-energy development. Throughout his career, he has gained extensive experience in project planning, offshore infrastructure deployment, and strategic energy transition programs, working on initiatives that support regional sustainability goals and national carbon-neutral ambitions. His professional interests include offshore turbine technology, grid integration, marine environmental impact assessment, and the long-term scalability of renewable energy systems. Mr. Fundi has participated in collaborative research efforts with academic and industry partners, focusing on innovation in offshore wind operations and maintenance. He has been recognized within the sector for his contributions to technology modernization and efficiency improvements in coastal wind projects. His ongoing work reflects a commitment to accelerating the deployment of clean, reliable energy resources while promoting responsible environmental stewardship. Overall, Mr. Fundi’s career illustrates a forward-looking vision centered on renewable-energy innovation and the strategic development of China’s offshore wind power capabilities.

Profiles : Scopus | Orcid

Featured Publications

Xiao, T., Lian, J., Ye, F., Xiong, D., & Hao, X. (2024). Experimental and numerical study on motion characteristics of a bucket foundation during immersion process. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2024.117782

Ye, F., Lian, J., Xiao, T., Xiong, D., Wang, H., Guo, Y., & Shao, N. (2024). Behavior Analysis of a Bucket Foundation with an Offshore Wind Turbine during the In-Water Sinking Process. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse12030494

Ye, F., Lian, J., Xiong, D., Wang, H., Guo, Y., Wang, P., & Xiao, T. (2023). Effects of damping plate on the motion response of transport ships under waves. Applied Ocean Research. https://doi.org/10.1016/j.apor.2023.103507

Lian, J., Ye, F., Wang, P., Guo, Y., Wang, H., Xiao, T., & Xiong, D. (2023). Integrated transportation of offshore wind turbine and bucket foundation based on a U and K shaped assembled platform. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2023.114096

Ye, F.-D., Lian, J.-J., Guo, Y.-H., Wang, H.-J., Xiao, T.-R., Xiong, D.-Z., & Yu, T.-S. (2023). Stability Study on the Bucket Foundation with Multi-Compartment During the Floating-up Process Considering Air Compressibility. China Ocean Engineering. https://doi.org/10.1007/s13344-023-0081-8

Ann-marie Moiwo | Government and Public Policy Analysis | Best Research Article Award

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Ms. Ann-marie Moiwo | Government and Public Policy Analysis | Best Research Article Award

Njala University | Sierra Leone

Ann-Marie Moiwo is a dynamic professional with interdisciplinary training in international relations, public administration, and the social sciences. She holds a Master’s degree in International Relations from Renmin University and a Master of Public Administration from Njala University, supported by a strong academic foundation in History and Sociology from Fourah Bay College. Her professional experience spans administrative management, organizational coordination, research operations, and executive support across institutions in the public, private, and development sectors. She has contributed to nationwide research initiatives, supported high-level decision-making processes, and provided strategic and logistical support within academic and corporate environments. Her research interests include governance, public policy, international development, gender studies, and sociopolitical systems in West Africa. Passionate about evidence-based policy and institutional strengthening, she aims to advance impactful research and contribute to solutions addressing national and global development challenges. Ann-Marie has been recognized for her diligence, discipline, and strong work ethic, consistently demonstrating the capacity to thrive in fast-paced, multicultural, and high-responsibility environments. She remains committed to continuous learning, professional growth, and service within institutions that value integrity, innovation, and social transformation.

Profile : Orcid

Featured Publications

Genealogy as Analytical Framework of Cultural Evolution of Tribes, Communities, and Societies Ann-Marie Moiwo, Massaquoi, D., Moiwo, T. W., Sam, M., & Moiwo, J. P. (2025). Genealogy as analytical framework of cultural evolution of tribes, communities, and societies. Genealogy, 9(4).

Comparative Analysis of Neglected Attenuation and Negotiated Intervention Pathways to Conflict Resolution for Lasting Peace Juana, J., Moiwo, J. P., Challay, S., Bebeley, S. J., Mbavai, J. J., Yeganegi, K., & Sanguiné, L. (2025). Comparative analysis of neglected attenuation and negotiated intervention pathways to conflict resolution for lasting peace. Journal of Global Peace and Conflict, 12(3).

Hydro-economic Model Framework for Achieving Groundwater, Food, and Economy Trade-offs by Optimizing Crop Patterns Ma, Q., Yang, Y., Sheng, Z., Han, S., Yang, Y., & Moiwo, J. P. (2022). Hydro-economic model framework for achieving groundwater, food, and economy trade-offs by optimizing crop patterns. Water Research, 119, 119199.

Rainwater Harvesting for Supplemental Irrigation Under Tropical Inland Valley Swamp Conditions Blango, M. M., Cooke, R. A. C., Moiwo, J. P., Sawyerr, P. A., & Kangoma, E. (2020). Rainwater harvesting for supplemental irrigation under tropical inland valley swamp conditions. Irrigation and Drainage, 69(5).

Effect of Biochar Application Depth on Crop Productivity Under Tropical Rainfed Conditions Moiwo, J. P., Wahab, A., Kangoma, E., Blango, M. M., Ngegba, M. P., & Suluku, R. (2019). Effect of biochar application depth on crop productivity under tropical rainfed conditions. Applied Sciences, 9(13), 2602.

Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

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Assoc. Prof. Dr. Modafar Ati | Machine Learning and AI Applications | Best Researcher Award

Abu Dhabi University | United Arab Emirates

Assoc. Prof. Dr. Modafar Ati is an accomplished academic and researcher in Computer Science and Information Technology with extensive experience in teaching, curriculum development, and leadership. He holds a BSc in Electrical & Communication Engineering and a PhD in Electrical & Computing Engineering from Newcastle upon Tyne, UK. Dr. Ati has over three decades of experience in both academia and industry, serving in senior roles including Associate Professor at Abu Dhabi University, Acting Dean at Sohar University, and Assistant Dean at multiple institutions in Oman. His professional expertise spans software development, systems integration, networking, ICT, project management, Service-Oriented Architecture (SOA), Artificial Intelligence, Big Data, Cybersecurity, and eHealth smart systems. He has published numerous research articles focusing on AI-driven Chronic Disease Management and smart healthcare systems and has led research groups in eGovernment and ICT. Dr. Ati has received multiple grants and awards, including the Chancellor Innovation Award, and serves on editorial boards and as a senior reviewer for international journals and conferences. His teaching portfolio covers programming, network security, project management, human-computer interaction, and mobile application development. Dr. Ati’s contributions to education, research, and innovation reflect a strong commitment to advancing technology-driven solutions in healthcare, smart cities, and digital systems.

Profile : Google Scholar

Featured Publications

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Efficient chronic disease diagnosis prediction and recommendation system” in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 209–214.

Mohamed, O., Kewalramani, M., Ati, M., & Al Hawat, W. (2021). “Application of ANN for prediction of chloride penetration resistance and concrete compressive strength” in Materialia, 17, 101123.

Mohamed, O. A., Ati, M., & Najm, O. F. (2017). “Predicting compressive strength of sustainable self-consolidating concrete using random forest” in Key Engineering Materials, 744, 141–145.

Hussein, A. S., Omar, W. M., Li, X., & Ati, M. (2012). “Accurate and reliable recommender system for chronic disease diagnosis” in Global Health, 3(2), 113–118.

Ati, M., Kabir, K., Abdullahi, H., & Ahmed, M. (2018). “Augmented reality enhanced computer aided learning for young children” in 2018 IEEE Symposium on Computer Applications & Industrial Electronics.

Talita Ferreira | Data Regulation | Best Researcher Award

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Ms. Talita Ferreira | Data Regulation | Best Researcher Award

University of Salamanca | Spain

Talita Ferreira is an experienced pharmacist and regulatory affairs specialist with over 20 years of expertise in the pharmaceutical industry, leading strategic projects across Latin America, the USA, and Africa. She holds a Master’s degree in Entrepreneurship from the University of São Paulo and is pursuing a PhD in Business Economy at Universidad de Salamanca, with a research focus on healthcare management, organizational strategies, decision-making processes, and knowledge management. Talita has served as CEO and founder of multiple companies, including Avanti Farmacêutica, Pharma Avanti, and Legis Consulting, providing regulatory, quality, and strategic support to pharmaceutical organizations. She has collaborated with global institutions such as the World Health Organization and the International Pharmaceutical Federation, supporting vaccine manufacturing expansion, regulatory compliance, and biowaiver alignment initiatives. Her professional experience spans regulatory submissions, due diligence, GMP inspections, and regulatory intelligence, contributing to product launches, portfolio expansion, and process improvements. Talita combines her industry expertise with academic experience as an assistant professor and facilitator of business simulation games in undergraduate and postgraduate programs. Known for her effective communication, leadership, and problem-solving skills, she is committed to fostering innovation, compliance, and sustainable growth within the pharmaceutical and healthcare sectors.

Profiles: Orcid | Google Scholar

Featured Publications

da Silva Ferreira, T., Pauletti, G. M., Fernandes, E. A. F., Campos, A. F., Aceituno, A., … (2024). “Knowledge-based: facilitating access to medicines in Latin America.”

de Oliveira, L. G., de Souza Marcelino, V., & da Silva Rangel, F. C. (2018). “Perception of chemicals graduates about the adoção of teaching methodologies in a virtual learning.

Ferreira, T. S. (2019). “Technical alignment of collaborators through the management of knowledge.” University of São Paulo.

Ferreira, T. S., Pauletti, G. M., & Vázquez-Suárez, L. (2025). “How the Stakeholders’ Perception Contributes to the Pharmaceutical Strategies: A Regional Case Study in Latin America.

Ferreira, T. S., Pauletti, G. M., Fernandes, E. A., Campos, A. F., Aceituno, A., … (2023). “Knowledge-Based: Strategic Access to Medicines in Latin America.

Aravindh Sekar | Blockchain | Best Researcher Award

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Dr. Aravindh Sekar | Blockchain | Best Researcher Award

Penske Logistics | United States

Dr. Aravindh Sekar holds a Ph.D. in Information Systems (Analytics/Decision Support) from Dakota State University (2024), an M.S. in Information Science & Technology from Missouri University of Science & Technology (2011), and a B.Tech in Computer Science & Engineering from the National Institute of Technology, Rourkela (2006). He is currently Staff Software Architect, Supply Chain Solutions at Penske Logistics (since January 2018), where he leads the architecture and integration of technical solutions across supply-chain platforms, defines enterprise standards, and champions data-driven, API-led design and governance for future-state capabilities. Earlier, he served as Project Leader at Leggett & Platt (June 2010–January 2018), managing logistics and operational systems, implementing Oracle Transportation Management workflows, and customizing agent workflows and business monitors. His research interests span digital transformation, enterprise architecture, emerging technologies (blockchain, AI, IoT) in supply chain management, IT governance and leadership, cybersecurity in digital platforms, and bridging theory with practice in agile supply-chain ecosystems. His recent awards include the Graduate Research Initiative (GRI) award for his exploratory project on “Factors Influencing Blockchain Implementation in Supply Chain Management.” His published work addresses blockchain adoption, project management adaptations for blockchain, and inventory-control complexity through reinforcement learning. Dr. Sekar’s scholarly output includes 4 documents, 1 citation, and an h-index of 1, reflecting his growing academic impact.

Profile: Scopus 

Featured Publications

Sekar, A., Tech, D., Brooks, P., & Noteboom, C. (2024) “Factors Influencing Blockchain Implementation in Supply Chain Management: An Exploratory Pilot Study”, Issues in Information Systems.

Sekar, Aravindh, Tech, Deb, & Noteboom, Cherie Bakker (2024) “Exploring the Impact of Blockchain Integration on Inventory Accuracy and Supply Chain Efficiency – A Literature Review”, AMCIS 2024 Proceedings.

Sekar, Aravindh, & Tech, Deb (2024) “Exploratory Study on the Impact of Blockchain Adoption on Inventory Accuracy and Supply Chain Efficiency”, AMCIS 2024 Proceedings.

Sekar, Aravindh, & Zeng, David (2022) “Reinforcement Learning Algorithms and Complexity of Inventory Control: A Review”, MWAIS 2022 Proceedings.

Sekar, Aravindh (2023) “Determining the Effectiveness of RL in Tackling Inventory Control Complexities”, International Journal of Management and Applied Science (IJMAS).

Govindu, D., Tippani, R., Porika, M., & Sura, S. P. (2023) “Methodology of Assessing Microplastics and Nanoplastics in the Environment: Recent Advances in the Practical Approaches”, in Micro and Nanoplastics in Soil: Threats to Plant-Based Food.

Shruti Shukla | Social Impact Young Researcher Award| 

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Ms. Shruti Shukla | Social Impact |  Young Researcher Award 

Technical University of Munich | Germany

Ms. Shruti Shukla is a dedicated researcher in global health with a strong focus on gender equity, adolescent maternal and child health, and the socio-economic determinants of well-being in low- and middle-income countries. She is currently pursuing her Ph.D. in Global Health at the Technical University of Munich, Germany, where her research examines the impact of gender transformative interventions on adolescent maternal and child health outcomes. She holds an MSc in Global Health from Maastricht University, a Postgraduate Diploma in Liberal Arts from Ashoka University, and an MSc in Biotechnology from Savitribai Phule Pune University. Her extensive professional experience includes research associate roles at TUM and Ludwig Maximilian University of Munich, contributing to projects on economic violence, intimate partner violence, and the impact of COVID-19 on gender inequities. She has also worked as a project coordinator for community-based health programs in India focusing on pneumonia and anaemia prevention. Her research interests encompass public health policy, gender-based violence prevention, and global health systems. She has delivered lectures on global and maternal health and contributed to several international collaborations. Ms. Shukla continues to pursue evidence-based approaches that promote equity, resilience, and empowerment in global health contexts.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Shukla, S., Shenderovich, Y., Jacobs, C., & Steinert, J. I. (2025). Pedalling progress? Assessing the long-term impact of a bicycle intervention on adolescent maternal and child health in Zambia. Social Science & Medicine.

Shukla, S., Kharade, A., Böhret, I., Jumaniyazova, M., Meyer, S. R., Abejirinde, I.-O. O., Shenderovich, Y., & Steinert, J. (2025). How do gender transformative interventions reduce adolescent pregnancy in low- and middle-income countries: A realist synthesis. Journal of Global Health.

Shukla, S., Mosha, N. R., Meyer, S. R., Harvey, S., Lees, S., Mshana, G., & Stöckl, H. (2025). Women’s informal group participation and intimate partner violence in Mwanza, Tanzania: A longitudinal study. Social Science & Medicine.

Steinert, J. I., Shukla, S., & Satish, R. V. (2024). Navigating distress: Exploring factors affecting adolescent girls’ wellbeing during and after a violence-focused survey in Maharashtra, India. Child Abuse & Neglect.

Shukla, S., Abejirinde, I.-O. O., Meyer, S. R., Shenderovich, Y., & Steinert, J. I. (2024). Mechanisms behind gender transformative approaches targeting adolescent pregnancy in low- and middle-income countries: A realist synthesis protocol. Systematic Reviews.

Shukla, S., Castro Torres, A. F., Satish, R. V., Shenderovich, Y., Abejirinde, I.-O. O., & Steinert, J. I. (2023). Factors associated with adolescent pregnancy in Maharashtra, India: A mixed-methods study. Sexual and Reproductive Health Matters.

Meyer, S. R., Hardt, S., Brambilla, R., Shukla, S., & Stöckl, H. (2023). Sociological theories to explain intimate partner violence: A systematic review and narrative synthesis. Trauma, Violence, & Abuse. Advance online publication.

Chulhwan Bang | Machine Learning and AI Applications | Best Researcher Award

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Dr. Chulhwan Bang | Machine Learning and AI Applications | Best Researcher Award

Georgia Southern University | United States

Dr. Chulhwan C. Bang is an Assistant Professor of Business Analytics and Information Systems at Georgia Southern University. He earned his Ph.D. in Business Management, specializing in Management Science and Systems with a minor in Communication, from the University at Buffalo, SUNY. With over a decade of academic and professional experience, Dr. Bang has taught a wide range of courses in business programming, information systems, and data analytics, integrating tools such as Python, SAP, Power BI, and Tableau. His research interests include big data analytics, cryptocurrency forecasting, social media analysis, deep learning, and sports analytics. He has published in top-tier journals such as Information Systems Frontiers and International Journal of Information Management and actively collaborates with students on applied data-driven projects. Prior to academia, he worked in the IT industry as a system architect and software developer, contributing to large-scale ERP and BI projects in Korea and the U.S. Dr. Bang has received multiple honors, including the Outstanding Research Award and finalist recognition for accelerator research grants. His work bridges theory and practice, fostering innovation in analytics education and advancing interdisciplinary research in business intelligence and emerging technologies.

Profile : Orcid

Featured Publications

Lee, Y. S., & Bang, C. C. (2022). Framework for the Classification of Imbalanced Structured Data Using Under-sampling and Convolutional Neural Network. Information Systems Frontiers.

Bang, C. C., Lee, J., & Rao, H. R. (2021). The Egyptian protest movement in the twittersphere: An investigation of dual sentiment pathways of communication. International Journal of Information Management.

Bang, C. C. (2020). Predicting Loyalty of Korean Mobile Applications: A Dual-Factor Approach. International Journal of Information and Communication Technology for Digital Convergence (IJICTDC).

Yu, J., Bang, C. C., & Oh, D.-Y. (2020). The Effect of Noncognitive Factors on Information Disclosure on Social Network Websites: Role of Habit and Affect. Southern Business & Economic Journal.

Kwon, K. H., Bang, C. C., Egnoto, M., & Rao, H. R. (2016). Social media rumors as improvised public opinion: semantic network analyses of Twitter discourses during Korean saber rattling 2013. Asian Journal of Communication.

yanhong wu | Optimization Techniques | Best Researcher Award

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Prof. yanhong wu | Optimization Techniques | Best Researcher Award

UCSI University | China

Prof. Yanhong Wu holds a PhD in Business Administration from UCSI University (Malaysia) and previously earned a Master’s and Bachelor’s in Accounting at Chinese institutions. Since 2009 she has served as Professor at the School of Accounting, Zhanjiang University of Science and Technology, following early-career experience as an accounting supervisor in industry. Her research addresses supply chain management, circular economy, blockchain-enabled accounting systems and accounting education innovation. She has published around 27 peer-reviewed articles including eight SSCI/SCI pieces, 18 EI(CA) indexed papers and six in the Beijing University Core list. She has also secured a national utility-model patent, a software copyright, and authored the monograph Cost Accounting for Enterprises Based on Blockchain Technology. She has led more than ten research and curriculum-reform projects at provincial, municipal and institutional levels including themes such as “dual-teacher” faculty development and AI-enhanced classroom innovation. Her current h-index is approximately 3  and she has accumulated in the region of ~93 citations across her publications. Looking ahead, she continues to advance research at the interface of accounting, sustainability and digital technologies, and is dedicated to cultivating applied-accounting talent for the next generation of enterprises.

Profiles : Scopus | Orcid

Featured Publications

Wu, Y. (2025). Financial and environmental impact in closed-loop circular supply chain. Supply Chain Forum: An International Journal.

Wu, Y. (2025). Blockchain-enabled sustainable supply chain management: a study on the impact of collaboration optimization. Management Decision.

Zheng, X. (2024, December 27). Integration of Big Data and Technological Innovation to Promote the Digital Transformation of Marine Ranches. In Proceedings of the International Conference on Computer Science and Intelligent Systems (CSIS 2024).

Wu, Y., & Wang, R. (2024). Sustainability-based enterprise supply chain optimization and response under circular economy approach: agile, adaptive and coordinated. Management Decision.

Zhou, Z., Wu, Y., & Xie, Q. (2024). Social responsibility, information technology, and high-quality development of mining enterprise using structural equation modeling (SEM). Resources Policy.

Basmah Alzamil | Social Impact | Best Researcher Award

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Dr. Basmah Alzamil | Social Impact | Best Researcher Award

Imam Mohammad ibn Saud Islamic University | Saudi Arabia

Dr. Basmah Alzamil is an Assistant Professor at Imam Mohammed Ibn Saud Islamic University, specializing in organizational behavior, strategic management, and entrepreneurship. She earned her Ph.D. in Business Administration from King Saud University in 2023 with distinction, following an MBA from Saginaw Valley State University and a BBA from King Saud University, graduating with second honors. Her academic career includes extensive teaching experience in research methods, strategic management, performance management, administrative leadership, entrepreneurship, project management, and crisis management. She has also supervised cooperative training programs, organized practical training initiatives, and contributed to curriculum development. Dr. Alzamil’s research focuses on digital leadership, creative deviance, organizational socialization, workplace behavior, and the effects of digital transformation on employee performance and innovation. Her recent publications explore topics such as the mediating role of paradox mindset, the impact of digital leadership on toxic workplaces, and the influence of social support on workplace deviance. She has presented her work at international conferences and participated in professional development courses in research creativity, communication, and leadership. Dr. Alzamil’s scholarship bridges theory and practice, emphasizing evidence-based strategies for organizational development, innovation, and sustainable workplace practices, contributing to both academic research and practical applications in management.

Profile : Orcid

Featured Publications

Alzamil, B. S. (2025). “Employees’ Creative Deviance in Response to Digitalization and Knowledge: The Mediating Role of Employees’ Paradox Mindset.” Journal of Innovation & Knowledge.

Alzamil, B., & Alyafi, R. S. (2024). “Perceived Social Support and Workplace Deviant Behaviors: The Mediating Role of Self-Esteem in Employees in Saudi Arabia.” Journal Article.

Alzamil, B. S., & Alyafi, R. S. (2022). “Organizational Socialization Applicability, Measurements, and Theories: A Systematic Review and Guideline for Future Research.” International Journal of Business Management and Economic Review.