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.

 

Muhammet Karabulut | Structural Engineering | Best Researcher Award

Published on by Environmental Scientists

Dr Muhammet Karabulut | Structural Engineering | Best Researcher Award

Post Doctoral Researcher, Zonguldak BΓΌlent Ecevit University, TurkeyΒ πŸ—οΈ

Dr. Muhammet Karabulut is a dedicated Research Assistant specializing in Structural Engineering. His research focuses on earthquake-resistant structures, composite materials, and concrete dam analysis. With extensive academic and professional experience, he has contributed significantly to seismic performance evaluation and structural stability assessments. Currently, he is a Postdoctoral Researcher at Berlin Technical University, Germany (2024-2025), supported by the TÜBİTAK 2219 scholarship. His international training includes research stays in Sweden, Spain, and Germany, further enriching his expertise in civil engineering and disaster resilience. Dr. Karabulut actively engages in scientific research, publishing impactful studies in top-tier journals.

Profile

Scopus

Education πŸŽ“

Dr. Karabulut obtained his Ph.D. in Civil Engineering (2016-2022) from Bulent Ecevit University, focusing on strengthening reinforced concrete frame systems using composite panels. His research was supervised by Assoc. Prof. Tuna Ülger and Asst. Prof. Necati Mert. Prior to this, he completed his M.Sc. in Civil Engineering (2014-2016) at the same university, where he studied the effect of galleries on roller-compacted concrete dams under the supervision of Prof. Dr. Murat Emre Kartal. Additionally, he pursued a Master’s degree in Earthquake Engineering at Istanbul Technical University. His B.Sc. in Civil Engineering (2011) was earned at Karadeniz Technical University, where he researched optimal railway traverse distances.

Experience 🏒

Dr. Karabulut has extensive academic and professional experience in structural analysis and seismic engineering. He has been a Research Assistant since 2013, contributing to numerous engineering projects, earthquake assessments, and structural stability analyses. His international exposure includes Erasmus training at Lulea University of Technology, Sweden (2022), and the University of Seville, Spain (2018). His expertise extends to advanced computational modeling, structural testing, and software applications such as ANSYS, SAP2000, and Plaxis2D.

Research Interests πŸ”¬

Dr. Karabulut’s research focuses on earthquake-resistant structures, composite material applications, and dam engineering. His studies emphasize seismic performance enhancement, nonlinear structural analysis, and the integration of advanced materials in civil engineering. His recent work includes machine learning applications in structural engineering and dynamic analysis of concrete structures.

Awards & Recognitions πŸ†

Dr. Karabulut has received multiple awards for his contributions to civil engineering and earthquake research. He was granted the prestigious TÜBİTAK 2219 scholarship (2024-2025) for his postdoctoral research in Germany. His academic achievements and innovative research have been recognized through various conference presentations, journal publications, and collaborations with international researchers.

Publications πŸ“š

Nonlinear Load-Deflection Analysis of Steel Rebar-Reinforced Concrete Beams – Buildings 2025 (Cited by X articles)

Mechanical and quasi-static puncture behavior of hybrid composites – Mechanics of Advanced Materials and Structures 2024 (Cited by X articles)

Dynamic Analysis of Almagrera Tailings Dam – Sustainability 2024 (Cited by X articles)

Lateral Load Performance of Reinforced Concrete Frames with GFRP Braces – Journal of Structural Engineering & Applied Mechanics (2022) (Cited by X articles)

Seismic Analysis of Roller-Compacted Concrete Dams – Computers and Concrete 2020 (Cited by X articles)

Conclusion

Dr. Muhammet Karabulut is a strong candidate for the Best Researcher Award due to his significant contributions to structural engineering, international research exposure, and technical expertise. Strengthening industry collaborations and expanding his research leadership could further solidify his impact in the field. πŸ†

Michela Robba | Engineering | Best Researcher Award

Published on by Environmental Scientists

Prof Michela Robba | Engineering | Best Researcher Award

Associate Professor, University of Genoa, ItalyΒ πŸ“

Michela Robba is an Associate Professor at the University of Genoa, Italy. She has a distinguished academic career that spans over two decades, focusing on sustainable management of energy and environmental systems. Her research blends optimization techniques with environmental and energy applications, working towards sustainable resource use, minimizing environmental impacts, and enhancing decision-making systems. πŸŒπŸ’‘

Profile

Scopus

Education πŸŽ“

Michela Robba earned her PhD in Computer Science and Electronic Engineering in 2004 from the University of Genoa, Italy, focusing on sustainable groundwater planning and management. Prior to that, she completed her MS in Environmental Engineering in 2000 at the same institution, specializing in urban solid waste management. πŸ«πŸ“š

Experience πŸ’Ό

Robba began her academic career in 2004 as a Postdoctoral Researcher at the University of Genoa. She has held several academic roles, including Assistant Professor (2012-2018) and Associate Professor (2018-present). She also worked as a Consultant from 2009 to 2012, where she applied her expertise in biomass management and sustainability at companies like PDC S.r.l. and RINA. πŸŒ±πŸ’Ό

Research Interests πŸ”¬

Robba’s research interests lie in the optimization and control of environmental and energy systems, particularly focusing on sustainable resource use. She integrates optimization techniques, systems analysis, and GIS-based Decision Support Systems (EDSS) for the management of water resources, renewable energy, smart grids, and waste management. Her work includes modeling for water management, energy production from renewable resources, and the operational control of microgrids. 🌿⚑

Awards πŸ†

Michela Robba has received several accolades throughout her career. Notably, her MS thesis on solid waste management earned an award for publication excellence in 2000. She has also been recognized for her contributions to sustainable energy and environmental engineering. πŸŒŸπŸŽ–οΈ

Publications Top Notes πŸ“–

An unconstrained optimization approach to the stochastic traffic assignment with electric vehicles

Published in: Control Engineering Practice, 2025

Cited by: 0
Link to article

Energy Management System for Polygeneration Microgrids, Including Battery Degradation and Curtailment Costs

Published in: Sensors, 2024

Cited by: 0
Link to article

Scenario Generation Based on Ant Colony Optimization for Modelling Stochastic Variables in Power Systems

Published in: Energies, 2024

Cited by: 0
Link to article

An Optimization Model for the Optimal Control of the Oxygen Excess Ratio in a Hydrogen Fuel Cell System

Published in: IFAC-PapersOnLine, 2024

Cited by: 0
Link to article

Techno-Economic Assessment of a Large-Scale Electrolysis Plant in Hydrogen and Ancillary Service Markets

Published in: IFAC-PapersOnLine, 2024

Cited by: 0
Link to article

Optimizing a Capacitated Vehicle Routing Problem with Scheduled Arrival, Split Deliveries within Time Windows and Emission Consideration

Published in: IFAC-PapersOnLine, 2024

Cited by: 0
Link to article

Smart Grid Stochastic Optimization with Ant Colony-based Scenario Generation

Published in: IFAC-PapersOnLine, 2024

Cited by: 0
Link to article

A decentralized optimization approach to the power management of electric vehicles parking lots

Published in: Sustainable Energy, Grids and Networks, 2024

Cited by: 4
Link to article

Conclusion πŸ†

Overall, Michela Robba’s career showcases a relentless pursuit of excellence in sustainable resource use, environmental systems optimization, and energy management. Her research continues to provide valuable insights into the operational control of microgrids, waste management, and renewable energy systems, all contributing to the advancement of sustainable practices. Her recognition as a Best Researcher would be a well-deserved acknowledgment of her years of dedication and impactful contributions to both academia and industry. πŸŒ±πŸ”¬