Nannan Zhang | Artificial Intelligence | Research Excellence Award

Published on by Computer Scientists Awards

Mrs. Nannan Zhang | Artificial Intelligence | Research Excellence Award

Senior Engineer | Research Institute of Petroleum Exploration & Development | China

Mrs. Nannan Zhang is a senior engineer and researcher specializing in petroleum remote sensing and environmental monitoring using advanced geospatial technologies. Her research focuses on applying high-resolution satellite imagery, deep learning, and data fusion techniques to support oil and gas infrastructure detection, environmental impact assessment, and ecological protection. She has led multiple applied research initiatives that bridge scientific innovation with industrial needs, contributing significantly to the practical deployment of remote sensing in energy and environmental fields. Her scholarly work is published in internationally recognized journals and conferences, complemented by patented technologies and a research monograph. She is also actively engaged in advancing professional collaboration within the remote sensing research community.

Citation Metrics (Scopus)

350

300

200

100

10

0

Citations
304

Documents
12

h-index
5

                    🟦 Citations    🟥 i10-index    🟩 h-index


View Scopus Profile

Featured Publications

Srinidhi Arulselvan | Applied Mathematics | Research Excellence Award

Published on by Computer Scientists Awards

Ms. Srinidhi Arulselvan | Applied Mathematics | Research Excellence Award

Alagappa University | India

Mr. Srinidhi Arulselvan is a researcher in applied mathematics with a strong focus on control systems, dynamical systems, and vehicle suspension dynamics. Her work centers on stability analysis, vibration control, descriptor systems, and fault-tolerant control strategies for complex mechanical and cyber-physical systems. She has contributed to high-quality research on active and semi-active vehicle suspensions, sampled-data control, disturbance rejection, and secure control under network-induced constraints. Her studies integrate rigorous mathematical modeling with practical engineering applications, addressing challenges in reliability, safety, and performance of modern transportation systems. Her research demonstrates strong interdisciplinary relevance across control theory, automation, and applied mathematical physics.

Citation Metrics (Google Scholar)

20

15

10

5

0

Citations
16

i10index
2

h-index
3

       🟦 Citations    🟥 i10-index    🟩 h-index


View Scopus Profile
 View ORCID Profile
 View Google Scholar Profile

Featured Publications

Cornelia-Aurora Győrödi | Artificial Intelligence | Research Excellence Award

Published on by Computer Scientists Awards

Prof. Dr. Cornelia-Aurora Győrödi | Artificial Intelligence | Research Excellence Award

Professor | University of Oradea | Romania

Prof. Dr. Győrödi Cornelia Aurora is an accomplished researcher in computer science and information technology, specializing in databases, big data management, cloud computing, data mining, web mining, expert systems, and artificial intelligence applications for decision support. Her work focuses on optimizing SQL and NoSQL systems, enhancing cloud database security, and leveraging AI and machine learning for large-scale data analysis. She has contributed extensively to international research projects, authored numerous peer-reviewed publications, and serves as a reviewer and editor for leading journals and conferences. Her expertise positions her as a prominent candidate for recognition in computing, IT innovation, and data-driven research excellence.

Citation Metrics (Scopus)

400

300

200

100

50

10

0

Citations
349

Documents
41

h-index
9

       🟦 Citations   🟥 Documents   🟩 h-index


View Scopus Profile
 View ORCID Profile
 View Google Scholar Profile

Featured Publications

Pinar Kocabey Ciftci | Decision Support System | Research Excellence Award

Published on by Computer Scientists Awards

Assist. Prof. Dr. Pinar Kocabey Ciftci | Decision Support System | Research Excellence Award

Gaziantep University | Turkey

Assist. Prof. Dr. Pınar Kocabey Çiftçi is an academic researcher specializing in decision support systems, sustainability assessment, and data-driven policy analysis for socio-technical systems. Her research integrates simulation modeling, fuzzy cognitive maps, and advanced decision-making frameworks to address corporate carbon footprint management, green supply chains, and sustainable development strategies. She has contributed impactful studies published in internationally recognized journals spanning sustainability science, climate policy, business process management, and computational intelligence. Her work bridges theory and practice by translating complex analytical models into actionable tools for industrial sustainability, green transformation, and evidence-based management. Her research profile reflects strong interdisciplinary impact across engineering, sustainability, and applied systems science.

Citation Metrics (Google Scholar)

40

30

20

10

0

Citations
32

Documents
11

h-index
4


View Google Scholar Profile

Featured Publications

Dr. Yue Meng | Signal Processing | Research Excellence Award

Published on by Computer Scientists Awards

Dr. Yue Meng | Signal Processing | Research Excellence Award

Nanjing University of Information Science and Technology | China

Dr. Yue Meng is a wireless communication researcher specializing in massive MIMO technology, frequency synchronization, and RF impairment compensation. Their work focuses on developing advanced algorithms for OFDM systems to enhance signal integrity and energy efficiency, particularly under practical impairments such as I/Q imbalance and carrier frequency offsets. Meng has contributed to multiple high-impact publications in IEEE journals and conferences, demonstrating expertise in blind estimation techniques and cognitive radio-inspired nonorthogonal multiple access systems. Their research integrates theoretical analysis with practical implementation, advancing reliable and efficient wireless communication technologies. Meng’s contributions position them strongly for recognition in early-career research and wireless communication innovation.

Citation Metrics (Scopus)

100

75

50

25

5

0

Citations
97

Documents
5

h-index
4


View Scopus Profile

Featured Publications


Analyzing the Effectiveness of Carbon Pricing Instruments in Reducing Carbon Emissions in Major Asian Economies
Sustainability, 2024

A Canonical Correlation Analysis on the Relation of ESG and Business Environment in South China
Sustainable Futures, 2025

Adaptive Fourier Decomposition Analysis of Different Pandemic Stages in South Korean Cities: Policies and Trends
Journal of Thoracic Disease, 2025

Cost-Effectiveness of Risk Model–Based Lung Cancer Screening in Smokers and Nonsmokers in China
BMC Medicine, 2025

Predicting COVID-19 Vaccination Timing Using the Theory of Planned Behavior and Diffusion of Innovations
Journal of Thoracic Disease, 2025

Sara Exojo Trujillo | Data Science | Research Excellence Award

Published on by Computer Scientists Awards

Mrs. Sara Exojo Trujillo | Data Science | Research Excellence Award

University of Valencia | Spain

Mrs. Sara Exojo Trujillo is a chemistry researcher specializing in analytical chemistry, polymer science, and environmental risk assessment, with a strong focus on microplastics and emerging contaminants in water and food-related systems. Her research addresses adsorption behavior of pollutants on polymeric materials, advanced analytical method development, and the toxicological impacts of microplastics in biological and ecological models. She combines chromatographic, spectroscopic, thermal, and microscopic techniques with data analysis and kinetic modeling to understand contaminant transport and exposure risks. Her work contributes to sustainable materials research, food safety, and environmental protection through interdisciplinary, application-driven scientific investigation.

Citation Metrics (Scopus)

25

20

15
10
5
0

Citations
22

Documents
3

h-index
2


View Scopus Author Profile

Yunlong Liu | Intelligent Control | Research Excellence Award

Published on by Computer Scientists Awards

Mr. Yunlong Liu | Intelligent Control | Research Excellence Award

Associate Professor | Qufu Normal University | China

Mr. Yunlong Liu is a researcher and academic specializing in advanced control theory and intelligent systems with strong contributions to engineering and applied computing. His scholarly work focuses on variable structure control, intelligent control strategies, singular and sampled systems, motor technology, and robotics. He has authored a substantial body of peer-reviewed research published in internationally recognized journals and conferences, alongside innovations protected through patented technologies. His research emphasizes theoretical modeling, system stability, and practical applications in automation and intelligent machines. Through interdisciplinary collaboration and academic leadership, his work contributes to the advancement of modern control systems and intelligent engineering solutions.

Citation Metrics (Scopus)

900

700

500

50

10

0

Citations
842

Documents
58

h-index
13


View Scopus Profile

Featured Publications

John Paulo Serwelas | Corrosion Engineering | Research Excellence Award

Published on by Computer Scientists Awards

Mr. John Paulo Serwelas | Corrosion Engineering | Research Excellence Award

Mapua University | Philippines

Mr. John Paulo Serwelas is an emerging engineering researcher specializing in corrosion science and materials durability, with a strong focus on reinforced concrete behavior under corrosive conditions. His research integrates experimental investigation with analytical modeling to improve the prediction of bonding performance in deteriorated structural systems. His work contributes to advancing non destructive evaluation approaches and supports more reliable, sustainable infrastructure design within corrosion engineering and materials degradation research domains.

Profile

View ORCID Profile

Featured Publications

Dr. Jintao Ju | Electrical Machinery | Research Excellence Award

Published on by Computer Scientists Awards

Dr. Jintao Ju | Electrical Machinery | Research Excellence Award

Head of the Department of Electrical Engineering | Changzhou Institute of Technology | China

Dr. Jintao Ju is a researcher specializing in the design and control of magnetic bearing systems, with a strong focus on advanced control strategies for high-performance electromechanical applications. His research addresses system nonlinearities, disturbance rejection, and stability enhancement through adaptive and sliding mode control approaches. His work contributes to improving dynamic response, reducing control chattering, and enhancing reliability in magnetic bearing technologies, supporting innovation in modern power electronics and intelligent electromechanical systems.

Citation Metrics (Scopus)

100

50

25

10

0

Citations
101

Documents
20

h-index
6

Citations
Documents
h-index


View Scopus Profile

Featured Publications

Decoupling Control of Neural Network Inverse System Based on Improved Online Learning Levenberg–Marquardt for 3-DOF Hybrid Magnetic Bearing
– Electrical Engineering, 2026

Speed Sensorless Control of Permanent Magnet-Assisted Bearingless Synchronous Reluctance Motor Based on Enhanced Linear Extended State Observer
– Electrical Engineering, 2025

Mr. Andi Chen | Deep Learning | Excellence in Research Award

Published on by Computer Scientists Awards

Mr. Andi Chen | Deep Learning | Excellence in Research Award

Nanjing University | China

Mr. Andi Chen is an interdisciplinary researcher specializing in quantum-inspired neural networks, tensorized deep learning, and artificial intelligence for pattern recognition and multimodal generation. His research integrates quantum computing concepts with modern neural architectures, including convolutional, residual, and diffusion-based models. He has contributed to high-impact journals and conferences in neural computation and applied physics, while actively engaging in innovation projects on large language models, reinforcement learning fine-tuning, and AI-driven scientific applications across mathematics, engineering, and economics.

Citation Metrics (Google Scholar)

20

15

10

5

0

Citations
9

Documents
6

h-index
2

Citations
Documents
h-index


View Google Scholar Profile

 Featured Publications