Selvakumaran Sivashanmugam | Industrial and Manufacturing Applications | Research Excellence Award

Published on 30/03/202631/03/2026 by Computer Vision Awards

Dr. Selvakumaran Sivashanmugam | Industrial and Manufacturing Applications | Research Excellence Award

Roever Engineering College | India

Dr. Selvakumaran Sivashanmugam is an accomplished academician and researcher in Electrical and Electronics Engineering with over 15 years of teaching experience. His expertise spans power electronics, smart grids, renewable energy systems, and electric vehicle technologies. He has authored multiple Scopus-indexed publications in reputed journals, reflecting a strong and growing research profile. His work emphasizes AI-driven energy optimization, advanced control strategies, and sustainable power systems. He has collaborated with multidisciplinary research teams and guided numerous undergraduate and postgraduate projects. His contributions significantly support the development of clean energy solutions and intelligent infrastructure for societal and industrial advancement.

Citation Metrics (Scopus)

150

100

Citations
100

Documents
22

h-index
4

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

Artificial intelligence-based adaptive control for vehicle-to-grid and grid-to-vehicle operations in electric vehicle charging stations.

– Renewable Energy, 257, 124769. (2026). Citefd By: 1

Optimal planning of photovoltaic, wind turbine and battery to mitigate flicker and power loss in distribution network.

– Journal of Energy Storage, 116, 116034. (2025). Cited By: 9

A hybrid approach for PV-based grid-tied intelligent controlled water pump system.

– International Journal of Adaptive Control and Signal Processing. (2024).

A hybrid RBFNN-SPOA technique for multi-source EV power system with single-switch DC-DC converter.

– IETE Journal of Research, 70(10), 7723–7734. (2024).

Improved binary quantum-based Elk Herd optimizer for optimal location and sizing of hybrid system in microgrid with electric vehicle charging station.

– Journal of Renewable and Sustainable Energy, 16(6), 064101. (2024).

Hyk Vasyl | Emerging Trends and Future Directions | Research Excellence Award

Published on 30/03/202630/03/2026 by Computer Vision Awards

Assoc. Prof. Dr. Hyk Vasyl | Emerging Trends and Future Directions | Research Excellence Award

Lviv Polytechnic National University | Ukraine

Assoc. Prof. Dr. Hyk Vasyl is a Ph.D. in Economics and Associate Professor at Lviv Polytechnic National University, specializing in accounting, sustainability reporting, and regional economic development. He has authored numerous publications indexed in major academic databases. His research advances sustainability accounting, innovation cost management, and cluster-based economic systems, often employing bibliometric and analytical methods. Actively collaborating with international scholars, he contributes to interdisciplinary research and editorial activities. His work supports evidence-based policymaking and promotes transparent, sustainable financial reporting practices, enhancing economic resilience and institutional development.

Citation Metrics (Scopus)

300

200

100

Citations
203

Documents
25

h-index
10

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Featured Publications

Sustainability accounting: A systematic literature review and bibliometric analysis.

– Quality – Access to Success, 22(185), 95–102. (2021). Cited By; 57

Decentralization of local self-government under the conditions of administrative-territorial reform in Ukraine.

– Accounting, 7(4), 781–790. (2021). Cited By: 40

Integrated reporting of mining enterprises: Bibliometric analysis.

– Studies in Business and Economics, 17(3), 90–99. (2022). Cited By: 34

Selection of accounting software for small and medium enterprises using the fuzzy TOPSIS method.

– TEM Journal, 10(3), 1348–1356. (2021). Cited By: 29

Optimization of costs for innovations of industrial enterprises Western Ukraine in ensuring sustainable environmental development.

– E3S Web of Conferences, 234, 00049. (2021). Cited By: 21

Yelda Karatepe Mumcu | Industrial and Manufacturing Applications | Best Researcher Award

Published on 28/03/202628/03/2026 by Computer Vision Awards

Assoc. Prof. Dr. Yelda Karatepe Mumcu | Industrial and Manufacturing Applications | Best Researcher Award

Marmara University | Turkey

Assoc. Prof. Dr. Yelda Karatepe Mumcu is an academic in electrical engineering specializing in artificial neural networks, energy systems, and industrial optimization. Her research spans renewable energy awareness, intelligent manufacturing systems, and power system analytics, with recent contributions focusing on micro-mobility and life cycle–based emission modeling. She has collaborated with interdisciplinary researchers on applied engineering challenges in both energy and industrial domains. Her work demonstrates strong practical relevance, particularly in advancing sustainable technologies and data-driven engineering solutions. Her studies on renewable energy awareness highlight a significant societal impact, contributing to sustainability, energy education, and environmentally responsible engineering practices.

Citation Metrics (Scopus)

120

Citations
94

Documents
8

h-index
3

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

The levels of awareness about the renewable energy sources of university students in Turkey.

– Renewable Energy, 44, 174–179. (2012). Cited By; 157

Neural network solution to low order odd current harmonics in short chorded induction motors.

– International Journal of Systems Applications, Engineering & Development, 1(2), 21–28. (2023). Cited By: 15

Estimation of screen density according to different screening methods with artificial neural network method in flexo printing system.

– Politeknik Dergisi, 21(3), 575–580. (2024). Cited By: 13

Estimation of low order odd current harmonics in short chorded induction motors using artificial neural network.

– Proceedings of the 9th WSEAS International Conference on Neural Networks (NN ’08). (2008). Cited By: 6

Solution approach using heuristic and artificial neural networks methods in assembly line balancing problems: A case study in the lighting industry.

– Heliyon, 10(5), e26950. (2024). Cited By: 5

Muhammad Waheed Azam | Industrial and Manufacturing Applications | Best Review Paper Award

Published on 28/03/202628/03/2026 by Computer Vision Awards

Dr. Muhammad Waheed Azam | Industrial and Manufacturing Applications | Best Review Paper Award

University of Bologna | Italy

Muhammad Waheed Azam is a Research Fellow in Industrial Engineering at the University of Bologna, Italy, with expertise in heat transfer, solar energy systems, HVAC, and thermal management. His research spans experimental analysis, molecular dynamics, and renewable energy integration, with a focus on advanced heat exchangers and sustainable cooling technologies. He has contributed to reputable international journals such as Inventions, Frontiers in Heat and Mass Transfer, and the International Journal of Refrigeration. He actively collaborates with researchers across Europe and Asia, advancing innovative solutions for energy-efficient industrial systems and environmentally sustainable engineering applications.

Citation Metrics (Scopus)

Citations
59

Documents
12

h-index
5

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Featured Publications

Evaluating the parameters affecting the direct and indirect evaporative cooling systems.

– Engineering Analysis with Boundary Elements, 145, 211–223. (2022). Cited By; 53

Performance investigation of solar assisted desiccant integrated Maisotsenko cycle cooler in subtropical climate conditions.

– Engineering Analysis with Boundary Elements, 44, 102864. (2023). Cited By: 26

Transient analysis of an efficient solar assisted air-conditioning system for subtropical climate with various solar thermal collectors.

– Energy Conversion and Management: X, 23, 100634. (2024). Cited By: 10

Experiments and modeling on thermal performance evaluation of standalone and M-cycle based desiccant air-conditioning systems.

– Energy Reports, 11, 1445–1454. (2024). Cited By: 10

Effect of cross nanowall surface on the onset time of explosive boiling: A molecular dynamics study.

– Energies, 17(5), 1107. (2024). Cited By: 9

Yi Qian | Benchmark Datasets and Evaluation Methods | Research Excellence Award

Published on 28/03/202628/03/2026 by Computer Vision Awards

Prof. Yi Qian | Benchmark Datasets and Evaluation Methods | Research Excellence Award

University of British Columbia | Canada

Dr. Yi Qian is an accomplished researcher in econometrics, marketing science, and applied statistics, affiliated with the University of British Columbia. With a strong portfolio of peer-reviewed publications and several hundred citations, her work focuses on endogeneity correction, causal inference, and consumer behavior analytics. She has introduced advanced methodologies, including copula-based regressors and semiparametric estimation techniques, published in leading journals such as Journal of Marketing Research, Marketing Science, and Statistics in Medicine. Collaborating with scholars like Hui Xie and Fan Yang, her research delivers impactful insights for policy design, healthcare evaluation, and data-driven decision-making.

Citation Metrics (Scopus)

600

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200

Citations
466

Documents
21

h-index
9

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Featured Publications

Do national patent laws stimulate domestic innovation in a global patenting environment? A cross-country analysis of pharmaceutical patent protection, 1978–2002.

– Review of Economics and Statistics, 89(3), 436–453. (2007). Cited By; 545

Impacts of entry by counterfeiters.

– The Quarterly Journal of Economics, 123(4), 1577–1609. (2008). Cited By: 218

Brand management and strategies against counterfeits.

– Journal of Economics & Management Strategy, 23(2), 317–343. (2014). Cited By: 168

Factors affecting the effectiveness of cause-related marketing: A meta-analysis.

– Journal of Business Ethics, 175(2), 339–360. (2022). Cited By: 120

Signaling virtuous victimhood as indicators of Dark Triad personalities.

– Journal of Personality and Social Psychology, 120(6), 1634–1661. (2021). Cited By: 119

Meshari Alsafran | Augmented Reality (AR) and Virtual Reality (VR) | Excellence in Research

Published on 28/03/202628/03/2026 by Computer Vision Awards

Dr. Meshari Alsafran | Augmented Reality (AR) and Virtual Reality (VR) | Excellence in Research

The Public Authority For Applied Education & Traning, College Of Technological Studies | Kuwait

Dr. Meshari Abdulhameed Al-Safran is a researcher in Innovation and Technology Management at Arabian Gulf University, with expertise in artificial intelligence, digital transformation, and public sector innovation. He has authored and co-authored over 5 scholarly works, including journal articles, book chapters, and conference papers, with more than 20 citations and an h-index of 2. His research addresses AI applications in cybersecurity, smart education, and governance models. He collaborates with leading academics across regional institutions and contributes to advancing digital transformation and innovation practices, supporting sustainable development and public-sector modernization in Kuwait and the broader Gulf region.

Citation Metrics (Scopus)

Citations
20

Documents
5

h-index
2

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Featured Publications

Artificial intelligence and cybersecurity within a social media context: Implications and insights for Kuwait.

– Journal of Science and Technology Policy Management. (2024). Cited By; 17

Open innovation and governance models in public sector: A systematic literature review.

– In A. Hamdan & E. S. Aldhaen (Eds.), Artificial intelligence and transforming digital marketing (pp. 437–451). (2023). Cited By: 7

Assessing gamification and corporate sustainability: The role of embracing digital transformation and open innovation in ecosystem.

– Management & Sustainability: An Arab Review, 5(2), 427–451. (2025). Cited By: 5

Incorporating artificial intelligence and blockchain to empower cybersecurity applications: Challenges and solutions.

– In Integrating artificial intelligence, security for environmental and business sustainability (Vol. 2). (2025). Cited By: 1

AI-driven smart classroom innovation and creative thinking skills: Review of implementing STEM programme.

– In International Conference on Smart Management and Innovation for Sustainable Development. (2025). Cited By: 1

Federica Marrelli | Biomedical and Healthcare Applications | Best Paper Award

Published on 27/03/202627/03/2026 by Computer Vision Awards

Dr. Federica Marrelli | Biomedical and Healthcare Applications | Best Paper Award

Università Magna Graecia di Catanzaro | Italy

Dr. Federica Marrelli is a physician researcher specializing in respiratory medicine and artificial intelligence in healthcare. She is currently a PhD candidate in Artificial Intelligence, Biomedical Engineering, and Informatics and a resident in Respiratory Diseases at the University “Magna Graecia” of Catanzaro. Her research focuses on the application of AI in asthma and COPD, with peer-reviewed publications in international journals such as the Journal of Clinical Medicine. Actively involved in clinical practice and scientific dissemination, she collaborates with multidisciplinary teams and contributes to advancing precision medicine and digital health solutions, aiming to improve diagnosis, management, and patient outcomes in chronic respiratory diseases.

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Featured Publications

Artificial intelligence in asthma and COPD: Current status and future potential.

– Journal of Clinical Medicine, 15(6), Article 2445. (2026).

Short-term effects of dupilumab in eosinophilic COPD.

– Journal of Clinical Medicine, 15(2), 775. (2026).

Usama Aslam | Benchmark Datasets and Evaluation Methods | Research Excellence Award

Published on 27/03/202627/03/2026 by Computer Vision Awards

Mr. Usama Aslam | Benchmark Datasets and Evaluation Methods | Research Excellence Award

Southeast University | China

Mr. Usama Aslam is an emerging researcher in Electrical Engineering at Southeast University, specializing in cyber-physical power systems, smart grid security, and Virtual Power Plants (VPP). He has authored and co-authored multiple publications, including peer-reviewed journal articles and several under-review works in leading outlets such as Elsevier and IEEE, with a growing citation record. His research integrates artificial intelligence, optimization, and energy systems to enhance grid resilience, battery longevity, and renewable integration. Through international collaborations, his work contributes to developing secure, efficient, and sustainable energy infrastructures, addressing critical challenges in modern power systems and supporting global energy transition goals.

Citation Metrics (Scopus)

Citations
10

Documents
6

h-index
2

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Featured Publications

Dual closed-loop vector PI control and deadbeat current control of permanent magnet synchronous motor.

– Sukkur IBA Journal of Emerging Technologies, 7(2), 40–56. (2024). Cited By; 5

Optimal scheduling of electric vehicle aggregators in residential areas: A cost minimization approach.

– Sukkur IBA Journal of Emerging Technologies, 8(1), 62–69. (2026). Cited By: 4

A holistic optimization framework for virtual power plants with physics-informed battery degradation and probabilistic stability constraints.

– Future Batteries, 9, 100146. (2026). Cited By: 1

Health-aware V2G scheduling: A multi-modal transformer optimization framework.

– Future Batteries, 10, 100170. (2026).

An adaptive MPEC-based hierarchical framework for co-optimizing virtual power plant profit and battery energy storage system health.

– Future Batteries, 100161. (2026).

Quentin Marc Anaba Fotze | Image Processing and Enhancement | Best Paper Award

Published on 27/03/202627/03/2026 by Computer Vision Awards

Dr. Quentin Marc Anaba Fotze | Image Processing and Enhancement | Best Paper Award

Institute for Geological and Mining Research | Cameroon

Dr. Quentin Marc Anaba Fotze is a geophysicist at the Université de Maroua, Cameroon, specializing in applied geophysics, remote sensing, and geospatial analysis for mineral and groundwater exploration. He has authored 9 indexed publications with 33 citations h-index: 3 and contributed to over scientific works, demonstrating strong collaboration across multidisciplinary teams. His research integrates aeromagnetic, gravity, and satellite data to map tectonic structures, mineralization zones, and groundwater potential in Central Africa. He has also contributed to national geological mapping initiatives, supporting resource management, infrastructure development, and sustainable environmental planning in data-scarce regions.

Citation Metrics (Scopus)

Citations
33

Documents
9

h-index
3

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Featured Publications

Morphological, mineralogical and geochemical characterization of Ngaoundal soils (Adamawa-Cameroon): Implications for weathering mechanisms and trajectories in tropical zones.

–Geosystems and Geoenvironment. (2026). Cited By: 1

Discrimination of potential groundwater areas using remote sensing, gravity and aeromagnetic data in Rey Bouba and environs, North Cameroon.

– Groundwater for Sustainable Development. (2025).

Ibraheem Yousif | Remote Sensing and Satellite Imagery Analysis | Excellence in Research

Published on 25/03/202625/03/2026 by Computer Vision Awards

Prof. Ibraheem Yousif | Remote Sensing and Satellite Imagery Analysis | Excellence in Research

Cairo University | Egypt

Dr. Ibraheem A. H. Yousif is a Professor of Soil Science at Cairo University, specializing in pedology, GIS, and remote sensing applications in agriculture. He has authored over 15 peer-reviewed publications, receiving more than 81 citations with an h-index of 7, reflecting a growing international research impact. His work focuses on desertification assessment, soil quality evaluation, and sustainable land management in arid regions. Dr. Yousif has collaborated with diverse international research teams and contributed to large-scale land development projects. His research supports climate resilience, food security, and evidence-based agricultural planning in environmentally vulnerable regions.

Citation Metrics (Scopus)

150

100

Citations
81

Documents
15

h-index
7

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Featured Publications

Land capability and suitability mapping in some areas of North-Western Coast, Egypt.

–Journal of Soil Sciences and Agricultural Engineering, Mansoura University, 9(3), 111–118. (2018). Cited By: 18

Soil suitability assessment using MicroLEIS model: A case study in Wadi El Heriga, North Western Coast Zone, Egypt.

– Egyptian Journal of Soil Science, 59(3), 209–221. (2019). Cited By: 17

Integration of land cover changes and land capability of Wadi El-Natrun depression using vegetation indices.

– Egyptian Journal of Soil Science, 59(4), 385–402. (2019). Cited By: 10

Contribution of different land evaluation systems to assess land capability and suitability of some coastal soils in Egypt.

– Indian Journal of Agricultural Research, 54(3), 263–276. (2020). Cited By: 14

Geostatistical approach for land suitability assessment of some desert soils.

– Egyptian Journal of Soil Science, 60(3), 195–209. (2020). Cited By: 35