Vivek Dwivedi | Computer Science | Research Excellence Award

Published on by Environmental Scientists

Mr. Vivek Dwivedi | Computer Science | Research Excellence Award

Research Scholar | The University of Slovak University of Technology | Slovakia

Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges.

                            Citation Metrics ( Scopus )

60

50

40

30

20

10

0

 

Citations
25
documents
12
h-index
3

Citations

Documents

h-index

 

Abdulaziz Abahussain | Chemical Engineering | Research Excellence Award

Published on by Environmental Scientists

Assoc. Prof. Dr. Abdulaziz Abahussain | Chemical Engineering | Research Excellence Award

Associate Professor | The University of King Saud University | Saudi Arabia

Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications.

                            Citation Metrics ( Scopus )

600

500

400

300

200

100

0

 

Citations
395
documents
52
h-index
13

Citations

Documents

h-index

 

Li Mingxuan | Engineering | Research Excellence Award

Published on by Environmental Scientists

Mr. Li Mingxuan | Engineering | Research Excellence Award

Artificial Intelligence Division | The University of  Beijing Smart-Chip Microelectronics Technology Company Ltd | China

Mr. Li Mingxuan is an emerging author contributing to the advancement of artificial intelligence applications in modern power systems. His research focuses on integrating machine learning techniques with energy infrastructure to improve system efficiency, reliability, and intelligent monitoring. His published work explores innovative approaches such as enhanced image processing algorithms for transmission line inspection and intelligent fault detection methodologies. With a growing academic presence, he has authored 11 research documents, receiving 2 citations and achieving an h-index of 1. His contributions emphasize the practical implementation of AI-driven solutions in complex engineering environments, particularly in optimizing distributed energy systems and smart grid technologies. His research reflects a commitment to advancing intelligent automation and supporting the evolution of sustainable and resilient power networks through engineering innovation and interdisciplinary collaboration.

                            Citation Metrics ( Scopus )

11

10

8

6

4

2

0

 

Citations
2
documents
11
h-index
1

Citations

Documents

h-index

 

Taofiq Mohammed | Engineering | Research Excellence Award

Published on by Environmental Scientists

Mr. Taofiq Mohammed | Engineering | Research Excellence Award

Mr. Taofiq Mohammed | Engineering | Graduate Researcher at Georgia Institute of Technology | United States

Mr. Taofiq Mohammed is a dedicated Ph.D. student at the Georgia Institute of Technology (Georgia Tech), specializing in science and engineering research with a strong focus on sustainable construction materials and advanced concrete technologies. Mr. Taofiq Mohammed holds a solid educational background that has prepared him for high-impact interdisciplinary research in civil and materials engineering, with advanced doctoral training emphasizing geopolymer concrete, fiber-reinforced composites, and environmentally responsible construction solutions.

Citation Metrics (Google Scholar)

5

4

3

2

1

0

.

–

Citations
1
i10index
0

h-index
1

🟦 Citations    🟥   Documents    🟩 h-index

View Google Scholar Profile

Featured Publications:

Effect of Oil Palm Broom Fiber on the Mechanical Properties of Rice Husk Ash–Blended Concrete
– Recent Progress in Materials, 2025
Recent Advances in Fly Ash- and Slag-Based Geopolymer Cements

– Sustainability, 2025
Calcium Carbide Residue as a Supplementary Precursor in Geopolymer Binders

– Frontiers in Materials, 2025
Transportation Infrastructure Health Monitoring

– IntechOpen, 2025

 

Shaokun Yang | Engineering | Research Excellence Award

Published on by Environmental Scientists

Dr. Shaokun Yang | Engineering | Research Excellence Award

Dr. Shaokun Yang | Engineering | Lecturer at Army Engineering University of PLA | China

Dr. Shaokun Yang is an emerging researcher in the field of geotechnical and civil engineering, with a growing scholarly profile focused on advanced soil mechanics, foundation engineering, and the application of innovative materials and theoretical models to complex ground conditions. Dr. Shaokun Yang’s academic education has been grounded in engineering sciences related to geotechnical engineering and infrastructure development, providing a strong theoretical and analytical foundation for research in soil behavior, stress–strain relationships, and ground improvement technologies. Professionally, Dr. Shaokun Yang has contributed to peer-reviewed international journals through collaborative research that addresses practical and theoretical challenges in civil and marine engineering, demonstrating an ability to integrate experimental investigation with analytical interpretation. Dr. Shaokun Yang’s professional experience is reflected in published journal articles that examine the consolidation theory and application of double-layered foundations for fiber-reinforced solidified lightweight soil, as well as the dynamic properties of dredger fill under coupled effects of initial stress and principal stress rotation, indicating expertise in both static and dynamic soil behavior. The research interests of Dr. Shaokun Yang center on soil consolidation mechanisms, reinforced soil systems, lightweight soil technologies, dredger fill behavior, stress coupling effects, and the performance of foundations under complex loading conditions, with particular relevance to building foundations and marine geotechnical engineering.

Academic Profile: ORCID

Featured Publications:

 

 

Gennaro Trancone | Engineering | Research Excellence Award

Published on by Environmental Scientists

Prof. Dr. Gennaro Trancone | Engineering | Research Excellence Award

Prof. Dr. Gennaro Trancone | Engineering | Research Fellow Università degli Studi di Napoli Federico II | Italy

Prof. Dr. Gennaro Trancone is an accomplished civil and environmental engineer with a Ph.D. in Civil Systems Engineering (Dottorato di Ricerca in Ingegneria dei Sistemi Civili) from Università degli Studi di Napoli Federico II, where he also holds research fellow appointments and is actively engaged in academic and professional activities integrating civil, environmental, and sustainable engineering practice; Prof. Dr. Gennaro Trancone completed his doctoral studies at Università degli Studi di Napoli Federico II in 2024 where he specialized in advanced analytical and experimental methods for environmental monitoring, waste treatment processes and sustainable engineered systems, and he is registered with the Order of Engineers in Naples (sector Civil and Environmental) and participates in Italian engineering society committees with roles in environmental and academic commissions, evidencing his commitment to professional governance, interdisciplinary collaboration, and academic leadership in engineering practice and education. Prof. Dr. Gennaro Trancone’s professional experience encompasses research fellow duties in Ingegneria Civile, Ambientale e Edile since 2024, during which he has led and contributed to multiple research projects spanning sediment contamination, waste valorization, anaerobic processes, and infrastructure materials assessment, developing robust quantitative skills in environmental chemistry, bioprocess engineering, materials characterization, and statistical modelling for environmental systems; his work demonstrates expertise in laboratory and field research, experimental design, ecological risk assessment, and process optimization, bridging fundamental science with applied engineering solutions for environmental sustainability challenges. Prof. Dr. Gennaro Trancone’s research interests include environmental contaminant mobility and remediation, sustainable waste treatment and valorization, biofilm reactor systems for renewable energy production, micro- and nano-plastic impacts in infrastructure materials, and the development of innovative treatments for emerging contaminants, reflecting a multidisciplinary approach anchored in engineering, environmental science and sustainability. His research skills encompass sediment and contaminant analysis, reactor design and optimization, chemical treatment parameter optimization, ecological monitoring techniques, and integration of statistical tools for complex environmental datasets. Prof. Dr. Gennaro Trancone has contributed to peer-reviewed journals and edited volumes, earning citations for studies such as assessments of toxic element mobility in sediments and multidisciplinary environmental monitoring, and has been recognized by peers through review invitations and research collaborations; his awards and honors include acknowledgement within professional societies and committee memberships that attest to his academic and professional service, underscoring his influence in the field. In conclusion, Prof. Dr. Gennaro Trancone stands as a dynamic and impactful scholar whose work advances sustainable engineering solutions and fosters interdisciplinary research collaboration, contributing meaningfully to both academic knowledge and practical engineering outcomes.

Academic Profile: ORCID | Scopus

Featured Publications:

  1. Ferraro, A., Siciliano, A., Spampinato, M., Morello, R., Trancone, G., Race, M., Guida, M., Fabbricino, M., Spasiano, D., & Fratino, U. (2024). A multidisciplinary approach based on chemical characterization of foreshore sediments, ecotoxicity assessment and statistical analyses for environmental monitoring of marine-coastal areas. Marine Environmental Research. (Cited ~21) ScienceDirect

  2. Ferraro, A., Marino, E., Trancone, G., Race, M., Mali, M., Pontoni, L., Fabbricino, M., Spasiano, D., & Fratino, U. (2023). Assessment of environmental parameters effect on potentially toxic elements mobility in foreshore sediments to support marine-coastal contamination prediction. Marine Pollution Bulletin. (Cited ~25) ScienceDirect

  3. Muscetta, M., Bianco, F., Trancone, G., Race, M., Siciliano, A., D’Agostino, F., Sprovieri, M., & Clarizia, L. (2023). Washing bottom sediment for the removal of arsenic from contaminated Italian coast. Processes. MDPI

  4. Veropalumbo, R., Oreto, C., Viscione, N., Pirozzi, F., Pontoni, L., Trancone, G., Race, M., & Russo, F. (2023). Exploring the effect on the environment of encapsulated micro- and nano-plastics into asphalt mastics for road pavement. Environmental Research.

  5. Ferraro, A., de Sario, S., Attanasio, A., Di Capua, F., Gorgoglione, A., Fratino, U., Mascolo, M. C., Pirozzi, F., Trancone, G., & Spasiano, D. (2023). Phosphorus recovery as struvite and hydroxyapatite from the liquid fraction of municipal sewage sludge with limited magnesium addition. Journal of Environmental Quality.

 

Romulus Mawa | Engineering | Best Researcher Award

Published on by Environmental Scientists

Dr. Romulus Mawa | Engineering | Best Researcher Award

Dr. Romulus Mawa | Engineering | China University of Geosciences | China

Dr. Romulus Mawa Tuzingila is an emerging researcher and Ph.D. candidate specializing in geological and petroleum engineering with a focus on rock mechanics, geomechanics, shale reservoir characterization, and subsurface energy resources, currently affiliated with the China University of Geosciences in Wuhan, China, where he contributes to experimental, analytical, and computational research within the Department of Petroleum Engineering and related key laboratories; he received his foundational education in earth sciences and petroleum exploration (with preliminary degrees completed prior to his doctoral studies, details are drawn from his extensive research output and academic profiles), and over the course of his academic career he has gained significant research experience working on multidisciplinary projects involving experimental rock physics, petrophysical characterization of organic-rich shale, hydraulic fracturing mechanisms, and CO₂–rock interactions as relevant to unconventional reservoir development and carbon storage strategies, conducting laboratory experiments such as uniaxial and triaxial compression, brittleness modeling, and mineralogical analysis using tools like X-ray diffraction and nuclear magnetic resonance, which have shaped his strong methodological and analytical expertise in geomechanical testing and numerical modeling; Dr. Tuzingila’s professional experience extends to international collaborations with co-authors from China and the Democratic Republic of the Congo and includes contributions to both high-impact scholarly journals and engineering society proceedings, demonstrating his ability to bridge fundamental science with applied energy engineering challenges, and his research interests center on the mechanical behavior of organic-rich marine shales, the effects of mineralogy and anisotropy on fracture propagation, and the implications of CO₂ geological storage and enhanced hydrocarbon recovery, supported by a robust set of research skills that range from experimental design and rock physics modeling to data interpretation and scientific writing; his scholarly contributions have attracted citations in related fields, reflecting peer recognition, and his awards and honors include acknowledgment of his peer-reviewed publications and participation in international research networks, underscoring his commitment to advancing knowledge in geomechanics and energy resources; overall, Dr. Tuzingila’s work continues to impact the understanding of subsurface mechanics and reservoir engineering, positioning him as a notable researcher in earth and energy sciences.

Academic Profile: Scopus

Featured Publications:

Tuzingila, R. M., et al. (2026). Machine learning to estimate the brittleness index of organic shale: Case study of Marcellus Shale formation. Journal of Energy Engineering.

 

Goncalo Galvao | Electronics and Computer Engineering | Best Researcher Award

Published on by Environmental Scientists

Dr. Goncalo Galvao | Electronics and Computer Engineering | Best Researcher Award

International Society For Executive Learning | Portugal

Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures.

Profiles: Scopus | Orcid | Google Scholar | Researchgate

Featured Publications

Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240.

Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692.

Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65).

Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116.

Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.

Theodoros Syriopoulos | Engineering | Best Researcher Award

Published on by Environmental Scientists

Prof. Theodoros Syriopoulos | Engineering | Best Researcher Award

National and Kapodistrian University of Athens | Greece

Prof. Theodoros Syriopoulos is a distinguished academic and expert in Shipping Finance, serving at the National and Kapodistrian University of Athens, renowned as one of Greece’s most prestigious institutions. His academic leadership and scholarly excellence have positioned him as a prominent figure in the fields of maritime economics and finance. With extensive teaching and research experience, he has also contributed as a visiting professor at leading universities across Europe and Asia, reflecting his global academic engagement. Before entering academia, he held senior executive roles in banking, investment, asset management, and corporate finance, bringing valuable industry insights into his research and teaching. Prof. Theodoros Syriopoulos has an impressive publication record in internationally accredited journals, addressing a wide range of topics in shipping and finance, including corporate financial management, global capital markets, portfolio management, mergers and acquisitions, financial derivatives, and risk management. His recent research emphasizes corporate governance, ESG frameworks, and green finance, highlighting his commitment to sustainable financial practices. With 1,372 citations by 1,183 documents, 48 published works, and an h-index of 22, his academic impact reflects the global recognition of his scholarly contributions. As an active Council Member of the International Association of Maritime Economists (IAME) and a member of several international academic and professional associations, he continues to shape the discourse on maritime finance and economics globally. His academic background, combining applied economics and development studies, underpins his interdisciplinary approach to research and education, fostering innovation and analytical rigor in the study of global shipping and financial systems.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Syriopoulos, T. (2007). Dynamic linkages between emerging European and developed stock markets: Has the EMU any impact? International Review of Financial Analysis, 16(1), 41–60.

Grammenos, C. (2013). The handbook of maritime economics and business. Taylor & Francis.

Syriopoulos, T., Makram, B., & Boubaker, A. (2015). Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis. International Review of Financial Analysis, 39, 7–18.

Syriopoulos, T. C., & Sinclair, M. T. (1993). An econometric study of tourism demand: The AIDS model of US and European tourism in Mediterranean countries. Applied Economics, 25(12), 1541–1552.

Syriopoulos, T. (2004). International portfolio diversification to Central European stock markets. Applied Financial Economics, 14(17), 1253–1268.

Xilei Dai | Engineering | Young Scientist Award

Published on by Environmental Scientists

Prof. Dr. Xilei Dai | Engineering | Young Scientist Award

Professor | Chongqing University | China

Prof. Dr. Xilei Dai is a distinguished faculty member at the School of Architecture and Urban Planning, Chongqing University, with recognized expertise in the fields of smart building control, energy optimization, and sustainable building technologies. His academic profile is well established with 2,206 citations by 2,085 documents, 38 documents published, and an h-index of 17, demonstrating the strong impact and relevance of his research. He has influential publications in top-tier journals such as Applied Energy, Building Simulation, Building and Environment, and Energy and Buildings. One of his highly influential papers on green building has been widely acknowledged by peers, earning significant citations and recognition as an ESI highly cited work. His editorial contributions include serving as an associate editor for the Journal of Renewable and Sustainable Energy, further underlining his commitment to advancing knowledge in renewable energy and sustainability. Prof. Dr. Xilei Dai research focuses on building decarbonization strategies by integrating IoT-based technologies, artificial intelligence control systems, distributed energy resources, and battery storage, offering impactful solutions that reduce both energy consumption and carbon emissions. He has successfully led innovative projects such as the development of NetZero Building Energy Management Systems through AI-driven HVAC system control, reflecting his dedication to creating practical solutions with far-reaching implications for sustainable urban development. His research not only addresses pressing environmental challenges but also bridges the gap between optimization theory and real-world applications in energy system economics. With an expanding body of highly cited work, editorial leadership, and a strong focus on innovative building energy systems, Prof. Dr. Xilei Dai continues to contribute significantly to the global effort of achieving smart, efficient, and environmentally responsible building environments.

Profile: Scopus | Orcid | Google Scholar | Staff Page |

Featured Publications

Cao, X., Dai, X., & Liu, J. (2016). Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade. Energy and Buildings, 128, 198–213.

Dai, X., Liu, J., & Zhang, X. (2020). A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings. Energy and Buildings, 223, 110159.

Liu, J., Dai, X., Li, X., Jia, S., Pei, J., Sun, Y., Lai, D., Shen, X., Sun, H., Yin, H., … (2018). Indoor air quality and occupants’ ventilation habits in China: Seasonal measurement and long-term monitoring. Building and Environment, 142, 119–129.

Dai, X., Huang, L., Qian, Y., Xia, S., Chong, W., Liu, J., Ieva, A. D., Hou, X., & Ou, C. (2020). Deep learning for automated cerebral aneurysm detection on computed tomography images. International Journal of Computer Assisted Radiology and Surgery, 15, 715–723.

Dai, X., Liu, J., Li, X., & Zhao, L. (2018). Long-term monitoring of indoor CO2 and PM2.5 in Chinese homes: Concentrations and their relationships with outdoor environments. Building and Environment, 144, 238–247.