Ansar Shah l Big Data | Research Excellence Award

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Assoc. Prof. Dr. Ansar Shah l Big Data | Research Excellence Award

University of Southern Punjab Multan | Pakistan

Dr. Ansar Munir Shah is an Associate Professor of Computer Science with extensive experience in teaching, research, academic leadership, and curriculum development at undergraduate and graduate levels. Dr. Ansar Munir Shah holds a PhD in Computer Science from the University of Technology Phnom Penh, Cambodia, and is an HEC-approved PhD supervisor with strong academic credentials. Dr. Ansar Munir Shah has served in prominent academic roles at EM&E College (NUST), King Khalid University, and ISP Multan, earning multiple awards for committee service and academic excellence. Dr. Ansar Munir Shah’s research interests include wireless sensor networks, IoT, cloud computing, cybersecurity, and AI-driven network and data security.

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Featured Publications

Big Data Meets Jugaad: Cultural Innovation Strategies for Sustainable Performance in Resource-Constrained Developing Economies
– Sustainability, 2025
DOI: 10.3390/su17157087
Dynamic and Integrated Security Model in Inter Cloud for Image Classification
– Foundation University Journal of Engineering and Applied Sciences, 2024
DOI: 10.33897/fujeas.v4i1.874
Efficient Energy and Delay Reduction Model for Wireless Sensor Networks
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.030802
ILSM: Incorporated Lightweight Security Model for Improving QoS in WSN
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.034951
Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks
– Computer Systems Science and Engineering, 2023
DOI: 10.32604/csse.2023.025449

Mohammad Alahmad | Machine Learning Applications | Best Researcher Award

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Dr. Mohammad Alahmad | Machine Learning Applications | Best Researcher Award

 University of Greenwich | United Kingdom

Mohammad Al AHMAD is a dedicated part-qualified ACCA professional and experienced Accounting and Financial Management lecturer with extensive higher-education teaching, research, and financial analysis expertise. He holds a PhD in Accounting and Financial Management from the University of Portsmouth, an MSc in Accounting and Finance from Bath Spa University, an MSc in Finance, and a BSc in Accounting and Financial Management. His professional experience spans senior and lecturer roles at Anglia Ruskin University, Arden University, University of Portsmouth, and others, alongside FP&A experience at Oliver Wyman. His research interests include risk disclosure, big data analytics, financial reporting quality, and governance, supported by strong quantitative, coding, and statistical research skills. His academic contributions include peer-reviewed publications, teaching certifications, and international recognition, reflecting a sustained commitment to excellence in education, research, and inclusive academic leadership.

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Top Publications

Fahad Ali*, Muhammad Ahmar, YueXiang Jiang*, Mohammad Alahmad* (Forthcoming).

A Techno-economic Assessment of Hybrid Energy Systems in Rural Pakistan


Energy (SCI, Impact Factor: 6.082, Q1 Journal)

Fahad Ali*, RongRong He, Mohammad Alahmad*, YueXiang Jiang (Accepted).

Social Acceptance of Solar Technology in Developing Countries: Lessons for Pakistan


Journal of the Asian Economic Community (Journal launch & indexing in progress)

Fahad Ali, Elie Bouri, Nader Naifar, Syed Shahzad, Mohammad Alahmad* (Accepted).

Are Gold-backed Islamic Cryptocurrencies Safe Havens for International Islamic Equity Markets?


Research in International Business and Finance

Alicia Palacios-Orueta | Spatial Data Analysis | Research Excellence Award

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Dr. Alicia Palacios-Orueta | Spatial Data Analysis | Research Excellence Award

 Universidad Politécnica de Madrid | Spain

Dr. Alicia Palacios-Orueta is a Full Professor (Catedrática de Universidad) in the Department of Agroforestry Engineering at the Technical University of Madrid (Universidad Politécnica de Madrid, UPM), with an internationally recognized career in environmental science and remote sensing. She holds a degree in Agricultural Engineering from UPM and completed her MSc and PhD in Soil Science at the University of California, Davis. Her academic trajectory spans more than two decades, including appointments as Assistant Professor, Associate Professor, and Full Professor, as well as research positions in leading international institutions in the United States, Italy, Israel, and Sweden. Her research focuses on soil science, climatology, meteorology, geology, plant ecology, remote sensing, hyperspectral analysis, and spatial–temporal time series analysis. She is especially known for pioneering work on hyperspectral indices for soil and vegetation assessment and for innovative statistical approaches to remote sensing time series with spatial dimensions. Her research has received international visibility, including coverage by Nature Geoscience and New Scientist, and she has contributed to advisory bodies such as the Seosat/Ingenio Mission Advisory Group. She has coordinated numerous national and international research projects, supervised doctoral theses, and taught extensively at undergraduate, master’s, and doctoral levels. Her scholarly impact is reflected in 44 documents, an h-index of 21, and approximately 1,743 citations. Overall, Dr. Palacios-Orueta is a leading scholar whose work has significantly advanced the understanding of land–atmosphere interactions and environmental monitoring through remote sensing.

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Featured Publications

A’eashah Alhakamy | Data Visualization | Research Excellence Award

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Assoc. Prof. Dr. A’eashah Alhakamy | Data Visualization | Research Excellence Award

University of Tabuk | Saudi Arabia

Assoc. Prof. Dr. A’eashah Alhakamy is an academic leader and researcher in computer science whose work spans computer graphics, computer vision, imaging, visualization, and extended reality, with a scholarly record comprising 27 published documents, 271 citations from 250 citing documents, and an h-index of 9. She earned her Ph.D. and M.Sc. in Computer Science from Purdue University, specializing in illumination integration in dynamic augmented-reality environments, following a B.Sc. in Computer Science from Taibah University. She serves as Associate Professor and Department Chair at the University of Tabuk, holding key leadership roles in data governance, academic affairs, research centers, and national committees. Her research focuses on augmented and extended reality, human-computer interaction, data visualization, immersive technologies, and AI-driven sensing systems, contributing to reputable venues such as IEEE Access, Applied Sciences, Sensors, and Sustainability. She has received multiple awards for outstanding scientific research, excellence in teaching, innovation, and high-impact publications from the University of Tabuk and national academic bodies. In addition, she has led funded grants, supervised numerous postgraduate and undergraduate projects, and contributed to major institutional initiatives. Through research, leadership, and continuous academic service, she remains committed to advancing immersive technologies and impactful computing research.

Profiles : Scopus | Orcid

Featured Publications

Alhakamy, A. (2025). Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3599337

Friedman, A., Tazike, M., Shelton, E. G., Patel, N. A., Alhakamy, A., & Cafaro, F. (2025). Puppeteers and Forecasters: How Children Engage. Conference paper. https://doi.org/10.1145/3694907.3765950

Alhakamy, A. (2025). Advancing SDG5: Machine Learning and Statistical Graphics for Women’s Empowerment and Gender Equity. Sustainability. https://doi.org/10.3390/su17219706

Friedman, A., Tazike, M., Shelton, E. G., Patel, N., Alhakamy, A., & Cafaro, F. (2025). “I’m a Fish!”: Exploring Children’s Engagement with Human–Data Interactions in Museums. Applied Sciences. https://doi.org/10.3390/app152111304

Alhakamy, A. (2024). Extended Reality (XR) Toward Building Immersive Solutions: The Key to Unlocking Industry 4.0. ACM Computing Surveys. https://doi.org/10.1145/3652595

Yan Peng | Diagnostic Analytics | Research Excellence Award

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Prof. Dr. Yan Peng | Diagnostic Analytics | Research Excellence Award

Fuyang Normal University | China

Prof. Dr. Yan Peng is a distinguished researcher in genetic testing and molecular genetics, currently serving as Ph.D. and Master’s supervisor, as well as Research Secretary at the School of Medicine, Fuyang Normal University. Dr. Peng earned a Ph.D. (2022) and M.S. (2018) from the University of Chinese Academy of Sciences and has been a faculty member at Fuyang Normal University since 2022. With a research portfolio focused on live-cell RNA imaging, organelle-targeted imaging, and RNA-protein interaction, Dr. Peng has made significant contributions to molecular biology, including the development of genetically encoded fluorogenic aptamers and dual-color fluorescent reporting systems. Their work has been published in high-impact journals such as Analytical Chemistry, RSC Advances, Analytica Chimica Acta, and Nucleic Acids Research, amassing 73 citations across 68 documents, and an h-index of 5. Dr. Peng has led multiple research projects funded by national and provincial programs, totaling over ¥1,000,000, reflecting recognition for both scientific innovation and teaching excellence. Their studies bridge fundamental molecular genetics and practical biomedical applications, contributing to advances in gene expression analysis and targeted imaging technologies. Dr. Peng’s ongoing work continues to expand the frontiers of RNA-based molecular tools, supporting the development of next-generation diagnostic and therapeutic strategies.

Profile : Scopus

Featured Publications

Peng, Y., Li, M.Q., Gong, F.Y., Liu, X.F., Xiong, J.R., & Wang, K.R. In situ imaging of mRNA transcripts based on split-aptamer and split protein in living cells. RSC Advances, 2024, 14, 10146–10151.

Peng, Y., Shu, L.J., Deng, X.F., Huang, X., Mo, X.M., Du, F., & Tang, Z. Live-cell imaging of endogenous RNA with a genetically encoded fluorogenic allosteric aptamer. Analytical Chemistry, 2023, 95(37), 13762–13768. (CAS Q1 TOP)

Peng, Y., Ai, X.L., Yuan, Y.Y., Dong, J., Cui, X., Du, F., Huang, X., & Tang, Z. Organelle-targeted imaging based on fluorogen-activating RNA aptamers in living cells. Analytica Chimica Acta, 2022, 1209, 339816. (CAS Q1 TOP)

Peng, Y., Huang, X., Huang, T.F., Du, F., Cui, X., & Tang, Z. Combining protein and RNA quantification to evaluate promoter activity by using dual-color fluorescent reporting systems. Bioscience Reports, 2022, 41(9), BSR20211525.

Xu, Y.#, Fu, D.Q.#, Yuan, Y.#, Peng, Y., Dong, J., Du, F., Huang, X., Liu, G.X., Chen, X.H., Wang, Q.W., & Tang, Z. A heterobifunctional molecule recruits cereblon to an RNA scaffold and activates its PROTAC function. Cell Reports Physical Science, 2023, 3(10), 101064. (CAS Q2 TOP)

Xiaochen Xie | Quantitative Research | Research Excellence Award

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Dr. Xiaochen Xie | Quantitative Research | Research Excellence Award

Renmin University of China | China

Dr. Xiaochen Xie is an Assistant Professor at the School of Finance, Renmin University of China, with concurrent research associate positions at the China Financial Policy Research Center, the Institute of Public Finance and Taxation, and the Institute of Digital Economics and Taxation. He holds a Ph.D. in Economics from Pennsylvania State University, an M.S. in Economics from the University of Wisconsin–Madison, and dual B.E. in Finance and B.S. in Statistics from Peking University. His research spans international trade, industrial organization, public economics, and urban economics, with a focus on firm entry, pricing strategies, and the economic impacts of policy interventions. Dr. Xie has published in leading journals, including the Journal of Economic Geography, and has multiple working papers under review in top-tier journals. He has received awards such as Outstanding Young Scholar at Renmin University and recognition for outstanding papers at the NCER-CCER Chinese Economy Conference. Dr. Xie has extensive teaching experience in undergraduate and graduate courses on public finance, quantitative empirical economics, and structural methods. His research integrates empirical and structural approaches to inform trade, fiscal, and industrial policies. Dr. Xie’s work contributes to understanding the intersection of market structure, policy design, and economic welfare, influencing both academic research and practical policy-making.

Profiles : Orcid | Google Scholar

Featured Publications

Chen, Y., Huang, T., & Xie, X. (2025). “Place-based policies: First-mover advantage and persistence.” Journal of Economic Geography, lbaf001.

Lu, W., & Xie, X. (2024). “Trade, markups, and consumer welfare: Evidence from the global smartphone industry.” Available at SSRN 4804811.

Xie, X. (2021). Two essays on firm entry and pricing. The Pennsylvania State University.

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.

Raquel Gaspar | Financial Data Analysis | Best Researcher Award

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Prof. Raquel Gaspar | Financial Data Analysis | Best Researcher Award

ISEG, Universidade de Lisboa | Portugal

Prof. Raquel M. Gaspar is an Associate Professor of Finance with Habilitation at ISEG – Universidade de Lisboa, where she coordinates the Scientific Area of Finance and the Master in Finance program. She earned her PhD in Finance from the Stockholm School of Economics in 2006, focusing on credit risk and forward price models under the supervision of Prof. Tomas Björk, following an MSc in Mathematics Applied to Economics and Management from ISEG. Her research interests include mathematical and computational finance, credit risk modeling, asset pricing, stochastic processes, portfolio management, and risk analysis. Prof. Gaspar has extensive teaching experience at ISEG and internationally, including Stockholm Business School and Universidad Complutense de Madrid. She has supervised multiple PhD and MSc theses in finance and actuarial science, with an emphasis on quantitative methods and applied finance. Her scientific contributions are reflected in 329 citations, an h-index of 10, and 13 i10-index publications, according to Google Scholar. She has authored several pedagogical materials and textbooks and participates actively in research projects under CEMAPRE/REM. Recognized for her pedagogical innovation and leadership, Prof. Gaspar continues to contribute to the development of financial education and quantitative finance research in Portugal and abroad.

Profiles : Scopus | Orcid

Featured Publications

Gaspar, R. M., & Silva, P. M. (2023). Investors’ perspective on portfolio insurance: Expected utility vs prospect theories. Portuguese Economic Journal.

França, R., & Gaspar, R. M. (2023). On the bias of the unbiased expectation theory. Mathematics.

Gaspar, R. M., & Khapko, M. (2023, October). In memoriam: Tomas Björk (1947–2021), on his career and beyond. Finance and Stochastics.

Almeida, J., & Gaspar, R. M. (2023, July 25). Portfolio performance of European target prices. Journal of Risk and Financial Management.

Céu, M. S., & Gaspar, R. M. (2022, December 21). Vegetative cycle and bankruptcy predictors of agricultural firms. Agricultural Economics (Zemědělská ekonomika), 0139-570X / 1805-9295.

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.