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

Chong-Qing Wan | Data Quality Enhancement | Best Researcher Award

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Prof. Chong-Qing Wan | Data Quality Enhancement | Best Researcher Award

Capital Normal University | China

Prof. Chong-Qing Wan is a distinguished professor in the Department of Chemistry at Capital Normal University, Beijing, recognized for his extensive contributions to functional coordination chemistry and framework materials, with a research record comprising 83 scientific documents, an h-index of 24, and 1,987 citations from 1,717 documents. He earned a BA in chemistry from Xinyang Normal University, an MS from Nankai University with research on coordination complexes, and later completed his PhD under Prof. Thomas C. W. Mak at The Chinese University of Hong Kong. His work spans the synthesis, characterization, and application of metal–organic frameworks (MOFs), covalent–organic frameworks (COFs), ionic-liquid-based hybrids, and energy-related materials. He has published impactful studies in Nature Communications, Angewandte Chemie, and Chemistry of Materials, contributing to advances in MOF/COF meltability, glass formation, proton-conductive crystalline ionic liquids, and atomically precise nanoclusters. His research interests include functional coordination complexes, energy-storage materials, photocatalysis, and phase-transition mechanisms in porous frameworks. Throughout his academic career, he has been recognized for high-impact publications and sustained contributions to materials chemistry. Continuing to advance the field through innovative synthesis strategies and collaborative research, he remains a leading figure in framework-based materials and functional molecular systems.

Profiles : Scopus | Orcid

Featured Publications

Xue, W. L., Li, G. Q., Chen, H., Han, Y. C., Feng, L., Gu, X. L., Hu, S. Y., Deng, Y. H., Tan, L., Dove, M. T., Li, W., Zhang, J., Dong, H., Chen, Z., Deng, W. H., Xu, G., & Wan, C.-Q. (2024). Melt-quenched glass formation of a family of metal–carboxylate frameworks. Nature Communications, 15, 2040.*

Gu, X. L., Zhao, L., Sun, J., Cui, X. K., Li, G. Q., Hu, S. Y., Deng, Y. H., Li, Z., Li, K., Wang, H., & Wan, C.-Q. (2024). Synthesis and properties of zwitterionic covalent organic framework (COF): The meltability strategy and processability. Chemistry of Materials, 36, 2674–2684.*

Xue, W.-L., Deng, W.-H., Chen, H., Liu, R.-H., Taylor, J. M., Li, Y.-K., Wang, L., Deng, Y.-H., Li, W.-H., Wen, Y.-Y., Wang, G.-E., Wan, C.-Q., & Xu, G. (2021). MOF-directed synthesis of crystalline ionic liquids with enhanced proton conduction. Angewandte Chemie International Edition, 60, 1290–1297.

Qin, Z., Sharma, S., Wan, C.-Q., Malola, S., Xu, W.-W., Häkkinen, H., & Li, G. (2021). A homoleptic alkynyl-ligated [Au₁₃Ag₁₆L₂₄]³⁻ cluster as a catalytically active eight-electron system. Angewandte Chemie International Edition, 60, 970–975.*

Qin, Z., Zhang, J., Wan, C.-Q., Liu, S., Abroshan, H., Jin, R., & Li, G. (2020). Atomically precise nanoclusters with reversible isomeric transformation for rotary nanomotors. Nature Communications, 11, 6019.*

Helmi Ayari | Data processing | Research Excellence Award

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Mr. Helmi Ayari | Data processing | Research Excellence Award

Université Ibn khaldoun | Tunisia

Helmi Ayari is a doctoral researcher in Artificial Intelligence at the École Polytechnique de Tunisie, focusing on machine learning, deep learning, and intelligent imaging systems, with a research track record that includes 3 published documents, an h-index of 1, and citations from 33 documents. He holds a Master of Research in Intelligent Systems for Imaging and Computer Vision and a fundamental Bachelor’s degree in Computer Science. His work includes contributions to medical image analysis, explainable AI, and optimization techniques, with notable publications such as a comparative study of classical versus deep learning-based computer-aided diagnosis systems published in Knowledge and Information Systems (Q2), and a study integrating genetic algorithms with ensemble learning for enhanced credit scoring presented at the International Conference on Business Information Systems (Class B). Professionally, he has served as a Maître Assistant and teaching assistant, delivering courses in machine learning, deep learning, Python, R, computer architecture, and automata theory, while supervising Master’s research, coordinating academic programs, and contributing to hackathons and university events. His research interests span AI-driven decision systems, interpretable machine learning, evolutionary optimization, and applied deep learning. Recognized for both academic and pedagogical engagement, he continues advancing impactful AI research and education.

Profile : Scopus

Featured Publications

Computer-Aided Diagnosis Systems: A Comparative Study of Classical Machine Learning Versus Deep Learning-Based Approaches. Knowledge and Information Systems, published May 23, 2023. https://doi.org/10.1007/s10115-023-01894-7

Integrating Genetic Algorithms and Ensemble Learning for Improved and Transparent Credit Scoring. International Conference on Business Information Systems, June 25, 2025. (Class B)

Deepa | Energy and Utilities Analytics  | Best Researcher Award

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Ms. Deepa | Energy and Utilities Analytics  | Best Researcher Award

USMS University School of Management Studies | India

Ms. Deepa is a dedicated researcher and emerging academician in financial economics, currently pursuing her Ph.D. at the University School of Management Studies, Guru Gobind Singh Indraprastha University, where her doctoral work investigates the factors influencing access to clean energy across developing nations. With an h-index of 3, 4 published documents, and 16 citations across 15 referencing documents, she has established a growing scholarly footprint, contributing to high-impact journals such as Renewable Energy, Corporate Social Responsibility and Environmental Management, and Environment, Development and Sustainability. Her research spans sustainable finance, corporate finance, green growth, energy poverty, ESG, and development economics, supported by certifications including UGC NET/JRF (twice). She has presented her work at leading institutions including IIT Bombay, IIT Bhubaneswar—where she received a Best Paper Award—IIM Kashipur, and the Central University of Himachal Pradesh. As an adjunct faculty member, she has taught courses in Financial Accounting and Entrepreneurial Mindset, integrating analytical rigor with practical insights. With expertise in EViews, Stata, R, and bibliometric tools, she continues to advance impactful, policy-relevant research. She aspires to contribute meaningfully to academia by promoting inclusive, sustainable development through evidence-based teaching and scholarship.

Profiles : Scopus | Orcid 

Featured Publications

Deepa, Ahuja, S., Soti, N., Kumar, A., Phore, J., & Gupta, S. (2026). How can green finance and economic policies unlock new pathways to clean energy access in Sub-Saharan African nations? Renewable Energy. https://doi.org/10.1016/j.renene.2025.124703

Soti, N., Kumar, A., Gupta, S., Ahuja, S., & Deepa. (2025). Towards a sustainable future: The interplay of trade globalization and regulatory quality on environmental outcomes in India. Sustainable Futures. https://doi.org/10.1016/j.sftr.2025.100578

Kumar, A., Soti, N., Gupta, S., & Deepa. (2024). Addressing energy poverty in BRICS economies: Insights from panel data analysis and policy implications for sustainable development goals. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-024-05652-9

Phore, J., Deepa, Soti, N., Kumar, A., & Saini, A. K. (2024). Exploring the dynamics of ICT and globalization on human development in India: Asymmetric analysis and policy implications. International Journal of Information Technology. https://doi.org/10.1007/s41870-024-02056-w

Jianwei Cheng | Engineering  | Best Scholar Award

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Prof. Jianwei Cheng | Engineering  | Best Scholar Award

China University of Mining and Technology | China

Dr. Jianwei Cheng is a distinguished professor in the College of Safety Engineering at the China University of Mining and Technology (CUMT), specializing in mine ventilation, gas explosion control, dust mitigation, and mine accident rescue strategies. He earned his B.S. and M.S. degrees in Safety and Mining Engineering from CUMT and completed his Ph.D. at West Virginia University, USA, further enhancing his expertise in mining safety. Dr. Cheng also holds an Associate Degree in Computer Science and Engineering. Since joining CUMT in 2012, he has led multiple research projects funded by government and industry, contributing significantly to mine ventilation design, explosion prevention, and safety strategies. Recognized internationally, he has served as a reviewer for over 100 journals, participated in the North American Mine Ventilation Symposium, and was awarded the Australia Endeavour Research Fellowship in 2015. His achievements include numerous national, provincial, and industry awards in science, technology, and teaching, reflecting his excellence in research and education. Dr. Cheng has published extensively, with 110 documents cited 1,729 times, achieving an h-index of 23. His work continues to advance the safety and efficiency of mining operations while promoting innovation in occupational health and mine rescue technologies.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Ran, D., Cheng, J., Sheng, S., Ma, Z., Fu, Q., Hou, W., & Chen, R. (2024). “A two-phase particle flow method based on SCLB for enhancing CBM recovery: Experimental testing and engineering applications” in Powder Technology. DOI: 10.1016/J.POWTEC.2024.119754

Cheng, J., Sheng, S., Xu, Y., Luo, Y., & Islam, M.M. (2024). “Deformation prediction of overlying strata in multi-seam mining based on the influence function method-key stratum hybrid model” in Geomechanics and Geophysics for Geo-energy and Geo-Resources. DOI: 10.1007/S40948-024-00875-6

Cheng, J., Ma, Z., Fu, Q., Ran, D., Borowski, M., & Xi, Z. (2024). “Eco-friendly three-phase-gel foam with novel particle-gel crosslinking enhancing stabilization and fire extinguishing” in Powder Technology. DOI: 10.1016/J.POWTEC.2024.120134

Ihsan, A., Cheng, J., Widodo, N.P., Wang, E., Waly, F.Z., Syachran, S.R., Fadillah, T., & Khamidah, H.N. (2024). “Hybrid method for analyzing air thermal conditions in underground mines” in Expert Systems with Applications. DOI: 10.1016/J.ESWA.2023.123026

Cheng, J., Hou, W., Zheng, X., Fediuk, R., Qin, Y., Chen, Z., Luo, Y., & Islam, M.M. (2024). “Modified space suspension bentonite-based powder for suppression dust explosion in moist conditions: Experimental testing and validations” in Fuel. DOI: 10.1016/J.FUEL.2024.132190

Naveed Yasin | Entrepreneurship  | Innovative Research Award

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Prof. Dr. Naveed Yasin | Entrepreneurship  | Innovative Research Award

Abu Dhabi School of Management | United Arab Emirates

Dr. Naveed Yasin is a Full Professor of Entrepreneurship and Management whose career spans academic leadership, research, innovation, and global entrepreneurship ecosystem development. He holds a Ph.D. in Cross-National Comparative Entrepreneurship from an AACSB-accredited university and advanced qualifications in higher education, leadership, and AI-enabled entrepreneurship education. With experience as Vice President of Academic Affairs, Executive Dean, Consulting Vice President, and Director of an academic business incubator, he has led institutional transformation, accreditation initiatives, and the creation of entrepreneurial learning ecosystems across the UAE, UK, Europe, and Asia. His research focuses on immigrant entrepreneurship, entrepreneurship education, AI applications in enterprise learning, and entrepreneurial ecosystems, supported by 422 citations across 288 documents, 51 publications, and an h-index of 13. He has published in ABDC A*, ABS 3*, and Scopus Q1 journals and contributed chapters to major publishers such as Palgrave Macmillan and Routledge. His achievements include the UAE & EIE Teaching Excellence Award, a Vice Chancellor’s Award for Outstanding Research Thesis, and multiple international recognitions for innovation in education. As an educator, consultant, mentor, and ecosystem builder, Dr. Yasin continues to champion entrepreneurial leadership, global partnerships, and the advancement of universities as catalysts for economic and societal impact.

Profile : Scopus

Featured Publications

Green strategic intent, artificial intelligence capability and behavioral dynamics of achieving circular economy goals in the public sector (2025). Technological Forecasting and Social Change.

‘Imitate or Incubate?’ Evaluating the Current State of University-Based Business Incubators in the United Arab Emirates (2025). Fiib Business Review.

The Role of Artificial Intelligence in the Development of Learning and Social Innovation Education for Entrepreneurs in Poverty: A Sustainable Entrepreneurial Approach (2025). [Book Chapter]

“Try to keep them dumb and under the thumb”: exploring the “darker side” of psychological contracts in “overly embedded” immigrant enterprises (2025). Employee Relations.

Natural capital productivity as a decoupler of energy and emissions in Sub-Saharan Africa (2025). Energy Economics.

 

Adrian Rodriguez | Educational Data Analysis | Research Excellence Award

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Dr. Adrian Rodriguez | Educational Data Analysis | Research Excellence Award

California State University, Fullerton | United States

Dr. Adrian Rodriguez is an Associate Professor of Human Services whose work centers on college student well-being, equity in higher education, and culturally responsive training. He holds a Ph.D. in Counseling Psychology and has extensive experience teaching courses on counseling, substance use, conflict resolution, and case management across multiple institutions. His research examines perceived stress and graduate school aspirations, best practices for inclusive undergraduate research labs, graduate student mental health, and the impact of childhood trauma and attachment on students’ relationships and academic functioning. Dr. Rodriguez has published in journals such as Innovative Higher Education, Hispanic Journal of Behavioral Sciences, and the Journal of College Student Retention, and has presented widely at APA, APS, NOHS, and other national conferences. He has developed workshops for faculty on supporting graduate students’ mental health and creating inclusive research environments, while mentoring numerous undergraduate researchers, honors students, and McNair Scholars. His service includes curriculum development, accreditation work, and contributions to college and university committees focused on student success, equity, and community engagement. Recognized as an AAHHE Faculty Fellow and recipient of professional development and intramural research awards, he remains committed to advancing human services education through scholarship, mentorship, and culturally responsive practice.

Profile : Orcid

Featured Publications

Rodriguez, A.A., Norris, S., Arain, S., Ratanasiripong, P., & Garcia, J.A. (2025). “Graduate school intent: Stress resilience, early exposure to graduate environments, and self-efficacy.” Innovative Higher Education. https://doi.org/10.1007/s10755-025-09857-2

Rodriguez, A.A., & Mallinckrodt, B. (2021). “Native American-identified students’ transition to college: A theoretical model of coping challenges and resources.” Journal of College Student Retention: Research, Theory & Practice. https://doi.org/10.1177/1521025118799747

Aditta Chowdhury | IoT (Internet of Things) Analytics | Research Excellence Award

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Mr. Aditta Chowdhury | IoT (Internet of Things) Analytics | Research Excellence Award

Chittagong University of Engineering and Technology | Bangladesh

Aditta Chowdhury is an electrical and electronic engineering researcher and academic whose work focuses on advancing biomedical signal processing, embedded systems, and sustainable energy technologies. He holds both a Bachelor of Science and a Master of Science in Electrical and Electronic Engineering from the Chittagong University of Engineering and Technology, graduating with top academic distinction. His professional journey includes teaching and research roles in reputed engineering institutions, where he has contributed to curriculum development, laboratory instruction, and collaborative research. His research experience spans FPGA-based biomedical signal processing, photoplethysmogram-driven cardiovascular and metabolic disease detection, multimodal physiological signal analysis, plasmonic biosensing, microgrid feasibility assessment, and low-power VLSI system design. He has published extensively in high-impact journals and international conferences, demonstrating expertise in hardware–software co-design, machine learning applications in healthcare, and emerging sensor technologies. His work has resulted in several innovative solutions, including cardiovascular disease classifiers, hypertension detection systems, EOG-based eye-movement processors, and microgrid sustainability assessments. He has received multiple academic scholarships and awards recognizing his exceptional academic performance and research accomplishments. Driven by a commitment to impactful scientific contribution, he aims to continue developing intelligent, efficient, and accessible engineering solutions through interdisciplinary research and innovation.

Profile : Google Scholar

Featured Publications

Chowdhury, A., Das, D., Eldaly, A.B.M., Cheung, R.C.C., & Chowdhury, M.H. (2024). “Photoplethysmogram-based heart rate and blood pressure estimation with hypertension classification.” IPEM–Translation, 100024.

Joy, J.D., Rahman, M.S., Rahad, R., Chowdhury, A., & Chowdhury, M.H. (2024). “A novel and effective oxidation-resistant approach in plasmonic MIM biosensors for real-time detection of urea and glucose in urine for monitoring diabetic and kidney disease.” Optics Communications, 573, 131012.

Chowdhury, A., Das, D., Hasan, K., Cheung, R.C.C., & Chowdhury, M.H. (2023). “An FPGA implementation of multiclass disease detection from PPG.”
IEEE Sensors Letters, 7(11), 1–4.

Islam, M.A., Chowdhury, A., Jahan, I., & Farrok, O. (2024). “Mitigation of environmental impacts and challenges during hydrogen production.”
Bioresource Technology, 131666.

Chowdhury, A., Das, D., Cheung, R.C.C., & Chowdhury, M.H. (2023). “Hardware/software co-design of an ECG–PPG preprocessor: A qualitative and quantitative analysis.”
Proceedings of the 2023 International Conference on Electrical, Computer and Communication Engineering, 9.

Shawn (Xiaoguang) Chen | Public Policy | Research Excellence Award

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Dr. Shawn (Xiaoguang) Chen | Public Policy | Research Excellence Award

University of Western Australia | Australia

Dr. Shawn (Xiaoguang) Chen is an applied economist whose research spans public finance, taxation, misallocation, and development economics. With an h-index of 4, 9 scholarly documents, and 256 citations across 251 citing documents, he has contributed influential work to both international and top-tier Chinese journals. He holds dual PhDs from the London School of Economics and Peking University, supported by competitive scholarships including the LSE Postgraduate Research Scholarship. Dr. Chen is a Senior Lecturer at the University of Western Australia and has held visiting positions at Harvard Kennedy School, the University of Hong Kong, and the University of Toronto. His research particularly focuses on tax enforcement, VAT systems, government incentives, misallocation, and firm productivity in developing economies, especially China and Sri Lanka. He has secured major research grants from the Australian Academy of Social Sciences, China’s National Science Foundation, and multiple institutional programs. Recognized for scholarly excellence, he has received awards such as the Best Paper Award at the Public Finance Forum of China, the Gregory Chow Award, and early-career distinctions from the Western Australia Chinese Scientists Association. Dr. Chen continues to advance empirical public finance with policy-relevant insights rooted in rigorous causal identification.

Profile : Scopus

Featured Publications

Geng, H., Chen, S.X., & Wu, Y. (2025). “The displacement effects of US–China political tensions on China’s international and domestic research collaboration: Evidence from the ‘China Initiative’.” Scientometrics, 40(2), 289–337. https://doi.org/10.1007/s11192-025-05465-1

Chen, S.X. (2024). “Vulnerability to tax enforcement and spillover effect of corruption: Cross-industry evidence from China.” Journal of Law, Economics, and Organization. https://doi.org/10.1093/jleo/ewac019

Dewage Thilini Sumudu Kumari, R., Tang, S.H.K., & Chen, S.X. (2023). “Un-incorporation and conditional misallocation: Firm-level evidence from Sri Lanka.” B.E. Journal of Macroeconomics. https://doi.org/10.1515/bejm-2022-0107

Dewage Thilini Sumudu Kumari, R., Tang, S.H.K., Chen, S.X., & Li, B. (2023). “Can land misallocation be a greater barrier to development than capital? Evidence from manufacturing firms in Sri Lanka.” Economic Modelling. https://doi.org/10.1016/j.econmod.2023.106368

Mudiyanselage, H.K., & Chen, S.X. (2021). “What impairs the ‘money machine’ of VAT in developing countries?” International Tax and Public Finance. https://doi.org/10.1007/s10797-021-09705-x

Amel Latifi | Quantitative Research | Research Excellence Award

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Prof. Amel Latifi | Quantitative Research | Research Excellence Award

Aix-Marseille Université-CNRS | France

Amel Latifi is a Professor of Microbiology at Aix-Marseille University, where he leads the research team focused on Differentiation, Evolution, and Adaptation in Cyanobacteria and directs the Master programs in Microbiology. He earned his PhD in Cellular Biology with a specialization in Microbiology in 1996, investigating mechanisms regulating virulence factor production in Pseudomonas aeruginosa. Following postdoctoral research in Lausanne and academic appointments in Grenoble and Marseille, he established a research program centered on gene regulation, cell differentiation, and stress-response mechanisms in cyanobacteria, with additional contributions to bacterial genetics, oxidative-stress responses, and biohydrogen production. Over his career, he has coordinated multiple funded research projects, including FunDate, Otolhyd, and Cyanhy, advancing understanding of prokaryotic signaling and metabolism. His extensive publication record reflects long-standing collaborations in microbial genomics, environmental microbiology, and synthetic biology. Latifi has served in elected roles within national academic committees and university governance, contributing to scientific training and educational policy. His work has supported advancements in sustainable biotechnology, microbial physiology, and cyanobacterial metabolism. Overall, his career integrates fundamental microbial science with applied research aimed at environmental and energy-related challenges.

Profiles : Orcid | Scopus

Featured Publications

Independence of a Marine Unicellular Diazotroph to the Presence of NO₃⁻, Microorganisms, 2021 — S. Rabouille, B. Randall, A. Talec, P. Raimbault, T. Blasco, A. Latifi, A. Oschlies

Stress Signaling in Cyanobacteria: A Mechanistic Overview, Life, 2020 — R. Rachedi, M. Foglino, A. Latifi