Daxiong Ji | Data Analysis | Research Excellence Award

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Dr. Daxiong Ji | Data Analysis | Research Excellence Award

Zhejiang University | China

Dr. Daxiong Ji is an Associate Professor at the Institute of Marine Electronics and Intelligent Systems, Ocean College, Zhejiang University, and a Senior Member of IEEE. He earned his Ph.D. in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences and a B.S. in Automation from Wuhan Polytechnic University. Dr. Ji has held visiting scholar positions at the University of Melbourne, University of Plymouth, and University of Victoria, collaborating internationally on advanced marine robotics research. His expertise spans automatic control, artificial intelligence applications, autonomous marine robotics, electrical engineering, and intelligent systems. He has supervised numerous undergraduate, master’s, and doctoral students, leading courses on Marine Robot Design, Marine Intelligent Systems, and Professional Practices. Dr. Ji has received multiple honors, including the First Prize of Zhejiang Provincial Teaching Achievement Award, recognition as an Excellent Moral Education Mentor, and awards for scientific and technological achievements from the Chinese Academy of Sciences. He has led and participated in numerous national and international research projects, focusing on autonomous navigation, fault diagnosis, and data-driven control of underwater vehicles. Dr. Ji is also an accomplished inventor with multiple patents in underwater robotics and autonomous systems. His research has been widely published in top journals, reflecting significant contributions to marine intelligent systems.

Profiles : Orcid | Google Scholar

Featured Publications

Ji, D.; Ogbonnaya, S.G.; Hussain, S.; Hussain, A.F.; Ye, Z.; Tang, Y.; Li, S. Three-Dimensional Dynamic Positioning Using a Novel Lyapunov-Based Model Predictive Control for Small Autonomous Surface/Underwater Vehicles. Electronics, 2025, 14(3), 489.

Xu, L.; Ji, D. Online Fault Diagnosis Using Bioinspired Spike Neural Network. IEEE Transactions on Industrial Informatics, 2024.

Zhou, J.; Ye, Z.; Zhao, J.; Ji, D.; Peng, Z.; Lu, G.; Tadda, M.A.; Shitu, A.; Zhu, S. Multi-detector and Motion Prediction-Based High-Speed Non-Intrusive Fingerling Counting Method. Biosystems Engineering, 2024, 218, 1–15.

Ji, D.; Wang, R. Path Following of QAUV Using Attitude-Velocity Coupling Model. Ocean Engineering, 2024, 293, 116885.

Ji, D.; Cheng, H.; Zhou, S.; Li, S. Dynamic Model-Based Integrated Navigation for a Small and Low-Cost Autonomous Surface/Underwater Vehicle. Ocean Engineering, 2023, 273, 114091.

Ashutosh K Giri | Engineering | Best Researcher Award

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Dr. Ashutosh K Giri | Engineering | Best Researcher Award

Government Engineering College Bharuch | India

Dr. Ashutosh K. Giri is an Assistant Professor in the Department of Electrical Engineering at Government Engineering College, Bharuch, Gujarat, India, with over 20 years of teaching and research experience. He earned his Ph.D. from Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, focusing on control algorithms for power quality issues in wind-based distributed power generation systems. He also holds an M.E. in Electrical Engineering from L.D. College of Engineering, Gujarat University, and a B.Tech in Electrical Engineering from G.B. Pant University of Agriculture and Technology, Pantnagar. Dr. Giri’s research interests include renewable energy power converters, microgrid topology, operation and control, power quality enhancement, electric vehicle technologies, and adaptive control algorithms. He has published extensively in leading journals including IEEE, IET, Springer, Wiley, Elsevier, and Taylor & Francis, authored and edited multiple international books, and contributed to state- and national-level funded research projects. His work has been cited 478 times across 234 documents, with an h-index of 14, reflecting his significant impact in the field. Recognized among the top 2% of scientists globally, Dr. Giri continues to advance research and innovation in distributed generation systems and renewable energy, mentoring students and contributing to the scientific community through high-quality research and academic leadership.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Joshi, D., Deb, D., & Giri, A. K. (2025). “Metaheuristic adaptive input output feedback linearization control for BLDC motor drive” in IEEE Transactions on Consumer Electronics.

Kanojia, S. S., Suthar, B. N., & Giri, A. K. (2025). “Hybrid optimization approach for optimal location of electric vehicle charging station (EVCS) in distribution network considering voltage stability” in Smart Grids and Sustainable Energy.

Kundu, S., Giri, A. K., & Kadiyan, S. (2025). “An adaptive mixed-step size normalized least means fourth control approach for stand-alone power generation system considering dynamic conditions” in IEEE Journal of Emerging and Selected Topics in Power Electronics.

Bhatt, K. A., Bhalja, B. R., & Giri, A. K. (2024). “Controlled single-phase auto-reclosing technique for shunt reactor compensated lines in electrical energy systems transmission lines” in International Journal of Ambient Energy.

Parmar, D. B., & Giri, A. K. (2024). “Integration of field-oriented and steady-state linear Kalman filter control in PMSG-based grid-connected system for improving voltage control and power balance operation” in Electrical Engineering.

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.

Naima Rahiel | Public Health Analytics | Women Researcher Award

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Mrs. Naima Rahiel | Public Health Analytics | Women Researcher Award

QARTZ, Université Paris 8 | France

Naima Rahiel is a doctoral researcher in Industrial Engineering and Productics at the University of Paris 8, specializing in the modeling and optimization of complex systems, with a particular focus on hospital logistics and supply chain resilience. She holds a Master’s and a Bachelor’s degree in Industrial Engineering from the University of Oran 2, Algeria, where she built strong foundations in probabilistic analysis, production systems, and decision-making under uncertainty. Her professional experience includes academic teaching at IUT de Montreuil and practical research in industrial and healthcare environments, such as Tosyali Algeria and the Canastel Pediatric Hospital in Oran. Her research explores the resilience of healthcare supply chains through analytical and simulation-based approaches, leading to several international conference presentations and peer-reviewed publications, including contributions to Springer’s book series and the journal Environmental Systems and Decision. Passionate about innovation, data analysis, and system reliability, she aims to bridge theoretical modeling with real-world decision support tools for sustainable and adaptive supply chain management. Her academic achievements and active participation in scientific events demonstrate her commitment to advancing research on healthcare logistics and resilience engineering, contributing valuable insights to the industrial and operational research community.

Profile : Google Scholar

Featured Publication

Rahiel, N., El Mhamedi, A., & Hachemi, K. (2024). Healthcare Supply Chain: Resilience Qualitative Evaluation. In Hospital Supply Chain: Challenges and Opportunities for Improving Healthcare.

Rahiel, N., El Mhamedi, A., Hachemi, K., Aouffen, N., & Rahiel, I. (2025). Resilience of the hospital supply chain: a case study-based approach on safety stock. Environment Systems and Decisions, 45 (4), 56.

Rahiel, N., Addouche, S.A., El Mhamedi, A., & Hachemi, K. (2025). Function-Based Modeling for Reactive Optimization of Healthcare Resource Reallocation. In Proceedings of the 16th International Conference on Logistics and Supply Chain Management (LOGISTIQUA 2025).

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.

Amon Exavery | Statistical Analysis | Transcontinental Excellence in Research Data Analysis Award

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Dr. Amon Exavery | Statistical Analysis | Transcontinental Excellence in Research Data Analysis Award

University of Dodoma | Tanzania

Dr. Amon Exavery is a distinguished statistician and public health researcher with over 15 years of experience in research, evaluation, and learning. He holds a Ph.D. in Statistics from the University of Dodoma, a Master’s degree in Epidemiology from the University of the Witwatersrand, and a Bachelor’s degree in Statistics from the University of Dar es Salaam. Dr. Exavery has led numerous large-scale health and social service research projects, including impactful programs on Orphans and Vulnerable Children (OVC), HIV/AIDS, malaria, WASH, nutrition, reproductive, maternal, and child health, adolescent sexual and reproductive health, and sustainable livelihoods. As a Senior Research and Learning Advisor at Pact Tanzania, he has spearheaded multiple secondary data analyses, impact evaluations, and evidence-based program improvements. Previously, he served as a Statistician and Research Scientist at Ifakara Health Institute and Monitoring & Evaluation Officer at Jhpiego, where he applied advanced statistical modeling, multilevel analysis, and predictive analytics to inform policy and practice. A prolific author, Dr. Exavery has published over 40 peer-reviewed articles, presented at international conferences, and contributed to global public health knowledge. Recognized for his strategic leadership, mentorship, and innovative research approaches, he continues to drive evidence-based interventions and strengthen research capacity across Tanzania and the wider region.

Profile : Orcid

Featured Publications

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2026). “Enhancing Longitudinal Impact Evaluation of Non-Experimental Interventions: A Comparative Analysis of Generalized Estimating Equations and Multilevel Models Based on Empirical Evaluation of Temporal Change in Food Security Following an Economic Empowerment Intervention.” Evaluation and Program Planning.

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2025). “Determinants of Participation in WORTH Yetu Economic Empowerment Intervention among Caregivers of Orphaned and Vulnerable Children in Tanzania: A Longitudinal Multivariable Logistic Regression Analysis.” Social Sciences & Humanities Open.

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2024). “Longitudinal Evaluation of the Influence of WORTH Yetu on Household Economic Status Based on the Count of Non-Asset Resources for Orphaned and Vulnerable Children’s Well-Being in Tanzania.” Child Indicators Research.

Exavery, A., Katbi, M., Kirigiti, P. J., Balan, R. T., & Charles, J. (2024). “Multivariate Mixed-Effects Ordinal Logistic Regression Models with Difference-in-Differences Estimator of the Impact of WORTH Yetu on Household Hunger and Socioeconomic Status among OVC Caregivers in Tanzania.” PLOS ONE.

Exavery, A., Alam, K., Charles, J., Barankena, A., Bajaria, S., Minja, E., Mulikuza, J., Mbwambo, T., Ally, A., Mseya, R., et al. (2022). “Impact of Household Economic Strengthening Intervention on Food Security among Caregivers of Orphans and Vulnerable Children in Tanzania.” PLOS ONE.

Arun Gupta |  Fluid Mechanics | Best Researcher Award

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Dr. Arun Gupta |  Fluid Mechanics | Best Researcher Award

University Institute of Engineering And Technology | India

Dr. Arun Kumar Gupta is an accomplished academician and researcher in the field of Chemical Engineering with over twenty-three years of teaching and research experience. He is currently serving as an Associate Professor at the University Institute of Engineering and Technology, Chhatrapati Shahu Ji Maharaj University, Kanpur. Dr. Gupta holds a B.Tech in Chemical Engineering from UIET, CSJMU, an M.Tech, and a Ph.D. in Chemical Engineering from IIT Kanpur. His research interests encompass process modeling and simulation, sustainable chemical processes, environmental engineering, smart farming systems, and the application of IoT and machine learning in chemical engineering. With 27 publications, 14 edited chapters, 3 books, and 1 completed project under the CV Raman Scheme, he has made significant scholarly contributions. He has organized and participated in numerous workshops, conferences, and faculty development programs and has been recognized with several honors, including the “Excellence in Academics Award” at the INDO–THAI International Excellence Awards 2024 and a Gold Medal in the NPTEL ASPEN course. Dr. Gupta’s innovative work has also led to two patents in smart irrigation and sustainable reactor design. Dedicated to advancing engineering education and research, he continues to inspire students and contribute to technological innovation.

Profiles : Orcid | Google Scholar

Featured Publications

Chandra, A.K., Khan, W., Gupta, A.K., Patel, P.B., & Niranjan, R.S. (2025). “E‐Waste: A Leading Hazardous Waste.” In Global Waste Management (pp. 29–61).

Lal, A., Gupta, A.K., Kumar, A., & Indu, N.K.Y. (2010). “Manufacture and study of physico-chemical properties of Karanja bio-diesel.” In Proceedings on Renewable Energy and Sustainable Biofuels (Vol. 4).

Gupta, G.D., & Arun Kumar, G. (2022). “Enhancement in activity and reusability of dry Amberlyst-15 catalyst by thermal treatment for production of biodiesel from Karanja oil.” In Asian Journal of Chemistry, 35(1), 62–68.

Gupta, A.K., & Deo, G. (2018). “A single-step process to convert Karanja oil to fatty acid methyl esters using Amberlyst-15 as a catalyst.” In Chemical and Biochemical Engineering Quarterly, 32(1), 1–10.

Chiu, K., Gupta, A., Afxentiou, T., Ashraf, A., Kanani, R., Rajaguru, K., Bhatt, N., et al. (2025). “Impact of multiprofessional radiotherapy peer review on multidisciplinary team meeting staging in head and neck cancer.” In Clinical Oncology, 38, Article 103696.

Gupta, A.K. (2023). “Various methods for enhancement in heterogeneous catalyzed biodiesel production reaction rate.” In Journal of the Indian Chemical Society, 100(100970), 4.

Alexander Stolin | Engineering | Best Researcher Award

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Mr. Alexander Stolin | Engineering | Best Researcher Award

Merzhanov Institute of Structural Macrokinetics and Materials Science Russian Academy of Sciences (ISMAN) | Russia

Stolin Alexander Moiseevich is a distinguished materials scientist with a PhD and Doctor of Sciences degree, known for his pioneering contributions in the fields of self-propagating high-temperature synthesis (SHS), rheology, powder metallurgy, and solid-phase technologies. A graduate of Rostov State University, he began his scientific career at the Institute of Chemical Physics before joining ISMAN, where he has led the Laboratory of Plastic Deformation of Inorganic Materials since 1988. With over 500 scientific publications, 50 patents and copyright certificates, and an h-index of 21, his work has significantly advanced the understanding of viscous flow in reacting systems and high-temperature materials processing. He has mentored 21 PhD students and 2 doctoral candidates and is actively involved in multiple editorial boards and scientific committees. He is a key figure in academic-industry collaborations, notably with United Company Rusal. His accolades include the title of Honored Inventor of the USSR, the G.V. Vinogradov Prize, the Gold Medal at the Moscow Salon of Innovations, and the Honored Scientist of the Moscow Region title. His research continues to shape advanced material development and education in Russia and internationally, with a strong commitment to mentoring and scientific leadership. His citation count exceeds 1000, supported by verified documents and indexed publications.

Profile : Scopus

Featured Publications

Stolin, A.M., [Co-authors]. (2025). Structure and properties of the surfacing layer obtained with a powder SHS electrode based on TiC–NiCr. Metallurgist.

Stolin, A.M., [Co-authors]. (2024). Cold Uniaxial Pressing of PTFE-Based Composite Materials with Functional TiC and TiB₂ Additives. Russian Metallurgy (Metally).

Stolin, A.M., [Co-authors]. (2024). Critical Phenomena of Rheodynamic Origin in the Process of One-Sided Cold Pressing of Powder Materials. Theoretical Foundations of Chemical Engineering.

Stolin, A.M., [Co-authors]. (2024). Distinctive Features of the Grain Size Reduction Process in a TiC–NiCr Material Produced by SHS Extrusion. Inorganic Materials.

Stolin, A.M., [Co-authors]. (2023). Structure, and Mechanical and Tribological Properties of Ti–Cr–C–Ni–Fe Composite Coatings. Physical Mesomechanics.

Viken Kortian | Big Data Analytics | Best Researcher Award

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Assoc. Prof. Dr. Viken Kortian | Big Data Analytics | Best Researcher Award

Macquarie University | Australia

Assoc. Prof. Dr. Viken Kortian is an accomplished academic and researcher specializing in operations management, innovation, and entrepreneurship, with extensive expertise in business process management, strategy, and big data analytics. He holds a PhD in Management from Macquarie Graduate School of Management, where his doctoral research focused on organizational agility and firm performance in Australian SMEs. His academic foundation also includes a Master of Arts, an MBA, and a Bachelor of Chemical Engineering with honors. Dr. Kortian has built a distinguished career in higher education, currently serving as Associate Professor at Macquarie University’s School of Engineering, where he played a pivotal role in designing and leading the Master of Engineering Management program, one of the university’s largest postgraduate offerings. He has also contributed to Kaplan Business School, Macquarie Graduate School of Management, and the Australian Graduate School of Management through innovative course development in data analytics, quality management, and business excellence. His research interests span business excellence, operations management, artificial intelligence, and machine learning, with several conference presentations, publications, and a US patent to his credit. Recognized with multiple Vice Chancellor’s Awards for Teaching Excellence and other honors, Dr. Kortian is a dedicated educator, researcher, and thought leader shaping engineering management education in Australia.

Profile : Orcid 

Featured Publication

“Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study”

 

Sayed Abdul Majid Gilani | Machine Learning and AI Applications | Best Researcher Award

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Dr. Sayed Abdul Majid Gilani | Machine Learning and AI Applications | Best Researcher Award

Birmingham City University | United Kingdom

Dr. Sayed Abdul Majid Gilani is a Senior Lecturer and Associate Professor in Business Management at Birmingham City University, United Kingdom, with extensive academic and professional experience spanning the UK, UAE, and beyond. With more than nine years of teaching, research, and leadership roles in higher education, he has established himself as a scholar-practitioner dedicated to advancing entrepreneurship, leadership, strategy, and innovation studies. His contributions extend across academic leadership, programme development, international collaborations, and impactful research in sustainable business practices, digital transformation, and entrepreneurship ecosystems.

Professional Profiles

Scopus
Orcid

Education

Dr. Gilani holds a Ph.D. in Rural Entrepreneurship and Technology from Glasgow Caledonian University, where his doctoral research focused on the drivers and barriers of broadband adoption among food and drink micro-businesses in remote-rural Scotland. He is currently pursuing a Doctorate in Education (EdD) at the University of Glasgow, enhancing his expertise in educational innovation and leadership. His academic journey also includes an MSc in Corporate Strategy and Finance from Edinburgh Napier University, where he graduated with distinction and earned a best dissertation award, and a BSc (Hons) in Mathematics from Heriot Watt University. Additionally, he has completed a Postgraduate Certificate in Research (PGCR), a Postgraduate Certificate in Higher Education (PGCHE), and holds a Teaching English as a Foreign Language (TEFL) certification, reflecting his strong foundation in pedagogy and research methodologies.

Experience

Over his career, Dr. Gilani has held prominent teaching and leadership positions at leading institutions including Birmingham City University, Canadian University Dubai, De Montfort University Dubai, Westford University College, Aston Business School, Heriot-Watt University, Glasgow Caledonian University, and the University of Glasgow. He has successfully led undergraduate, postgraduate, and doctoral programmes, including serving as Programme Leader for the BA Business Management course, DBA supervisor, and PhD coordinator. His leadership experience also extends beyond academia, where he has managed international partnerships, directed faculty teams, and mentored junior academics toward achieving professional fellowships and research success. His professional roles have also included founding and managing enterprises, which provides him with a practical perspective that enriches his teaching and research in entrepreneurship and innovation.

Research Interests

Dr. Gilani’s research lies at the intersection of entrepreneurship, innovation, rural development, and digital transformation. He is particularly interested in the role of technology adoption—especially broadband and machine learning—in supporting rural businesses and micro-enterprises. His studies explore sustainable leadership, the impact of digitalisation on small business ecosystems, gender in management, and strategic innovation in both developed and developing economies. He has authored more than 60 publications, including 19 Scopus-indexed papers, book chapters, and case studies. His work has been published in high-ranking journals such as Sustainability, Journal of Innovation and Entrepreneurship, Discover Sustainability, and Industry and Higher Education. In addition, his editorial and peer-review contributions to leading journals further strengthen his standing as an engaged scholar in business and management studies.

Awards and Recognition

Dr. Gilani’s scholarly contributions have earned him recognition at international conferences, where he has received best paper awards, delivered keynote addresses, and contributed to global discussions on innovation, entrepreneurship, and sustainability. He has been formally recognised as a Senior Fellow of the Higher Education Academy (SFHEA), a Chartered Manager of the Chartered Management Institute (CMI), and a Certified Management and Business Educator (CMBE). These achievements highlight his commitment to academic excellence, leadership in education, and impactful research. His innovative work has also led to collaborations with industry partners, fostering university-industry linkages and providing students opportunities to transform their ideas into practice.

Publications

Kenji, I., Gilani, S.A., Tantry, A., Khan, F., Mulla, T., Askri, S., Handhi, S., & Armosh, F. (2025). An investigation into the effects of Dundee’s cultural and economic revitalization on independent food enterprises. In [Book Title] (pp. xx–xx).

Gilani, S.A.M., Gernal, L., Sergio, R., Tantry, A., Duncan, P., & Smith, A. (2025). Exploring broadband adoption amongst rural businesses: A review of the literature.  (pp. xx–xx).

Gilani, S.A.M., Hashim, M.A.M., Copacio, A., Sergio, R., Tlemsani, I., & Tantry, A. (2025). The impact of COVID-19 on the diffusion of machine learning amongst rural farms: A study of Algeria, Egypt, Morocco, Tunisia and the United Arab Emirates. Sustainable Futures, 7, 101291.

Gilani, S.A.M., Tantry, A., Kenji, I., Li, X., & Gilani, A. (2025). A journey into BJJ 24/7’s success in the United Kingdom. In [Book Title] (pp. xx–xx). IGI Global.

Gilani, S.A.M., Tantry, A., Tiemo, H.T., Gilani, A., & Dos Santos, L.J.M. (2025). Grappling with societal norms in Pakistan. In [Book Title] (pp. xx–xx). IGI Global.

Joshi, A., Askri, S., Tantry, A., Gilani, S.A.M., Armosh, F., Peel, R., Tiemo, T.H., & Iqbal, N. (2025). Advancing the digital economy. In [Book Title] (pp. xx–xx). IGI Global.

Conclusion

Dr. Sayed Abdul Majid Gilani embodies the qualities of a dynamic academic leader, researcher, and educator with a global outlook. His career reflects a unique blend of scholarly depth, pedagogical excellence, and practical business experience, which together contribute to shaping the next generation of business leaders and entrepreneurs. His work continues to bridge academia and industry, while his contributions to research and teaching reinforce his role as a key voice in the fields of entrepreneurship, innovation, and sustainable business management.