Eriona Canga | Nature-based Solutions | Research Excellence Award

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Dr. Eriona Canga | Nature-based Solutions | Research Excellence Award

Researcher | Alchemia-Nova Research and Innovation | Austria

Dr. Eriona Canga is an environmental researcher whose work centers on innovative, science-driven approaches to water management, nutrient removal, and sustainable eco-technologies. With extensive international research experience, she has developed strong expertise in hydro-geochemistry, constructed wetlands, and nature-based solutions for circular and climate-resilient urban systems. Her research focuses especially on wastewater treatment using multifunctional constructed wetlands and the optimization of phosphorus and nitrogen removal through advanced filter materials. She has contributed to major European and international research initiatives addressing sustainable agriculture, water circularity, biorefinery concepts, biochemical processes, and resource recovery in cities. Eriona’s scientific work demonstrates a deep understanding of hydro-physical behavior, solute transport, hydraulic conductivity, and nutrient retention in granular media and drainage filters. She has authored a body of peer-reviewed work that has achieved 199 citations across 186 documents, with 11 publications contributing to an h-index of 7. Her contributions extend to laboratory experimentation, field-scale assessments, and modeling approaches such as advection–dispersion, stream tube models, and transfer-function methods. She has presented her findings at international conferences focused on wetland systems, water pollution control, hydrology, and environmental technology, helping advance sustainable water treatment strategies. Dr. Eriona Canga is also active in multidisciplinary collaborations involving green chemistry, groundwater protection, and climate-related impacts on Mediterranean and European water systems. With strong capabilities in scientific coordination, laboratory management, project development, and academic supervision, she continues to advance research integrating ecological engineering, circular resource management, and innovative environmental technologies to support sustainable and resilient water infrastructures.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Raziyeh Teimouri | Urban Environmental Planning | Best Research Article Award

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Dr. Raziyeh Teimouri | Urban Environmental Planning | Best Research Article Award

Researcher | University of South Australia | Australia

Dr. Raziyeh Teimouri is a distinguished academic and urban planner whose research and teaching expertise bridge the fields of urban and regional planning, healthy cities, and socio-environmental sustainability. Her scholarly work focuses on advancing sustainable urban development through green space planning, spatial analysis, and ecological design strategies that promote both social well-being and environmental resilience. She has made notable contributions to the understanding of urban heat island mitigation, land-use dynamics, and equitable access to green and public spaces by integrating GIS, AI, and data-driven methods into urban research. With 235 citations across 221 documents, 23 publications, and an h-index of 9, her research has been widely published in high-impact international journals, addressing critical urban challenges in both developed and developing contexts. Beyond academia, she has applied her expertise across interdisciplinary and governmental projects, contributing to strategic planning, policy assessment, and climate-responsive urban design. Her professional memberships in organizations such as the Planning Institute of Australia and the Royal Geographical Society of South Australia reflect her active engagement in advancing professional and academic discourses in planning. As a lecturer, researcher, and mentor, she fosters innovation and collaboration in shaping sustainable, inclusive, and healthy urban environments, making her a key contributor to the future of resilient city planning and social-ecological sustainability.

Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn

Featured Publications

Yigitcanlar, T., Kamruzzaman, M., Teimouri, R., Degirmenci, K., & Alanjagh, F. A. (2020). Association between park visits and mental health in a developing country context: The case of Tabriz, Iran. Landscape and Urban Planning, 199, 103805.

Reshadat, S., Zangeneh, A., Saeidi, S., Teimouri, R., & Yigitcanlar, T. (2019). Measures of spatial accessibility to health centers: Investigating urban and rural disparities in Kermanshah, Iran. Journal of Public Health, 27(4), 519-529.

Teimouri, R., & Yigitcanlar, T. (2018). An approach towards effective ecological planning: Quantitative analysis of urban green space characteristics. Global Journal of Environmental Science and Management, 4(2), 195-206.

Khademi, N., Zanganeh, A., Saeidi, S., Teimouri, R., Khezeli, M., Jamshidi, B., & others. (2021). Quality of life of HIV-infected individuals: Insights from a study of patients in Kermanshah, Iran. BMC Infectious Diseases, 21(1), 203.

Khademi, N., Zangeneh, A., Ziapour, A., Saeidi, S., Teimouri, R., Yenneti, K., & others. (2022). Exploring the epidemiology of suicide attempts: Risk modeling in Kermanshah—Iran. Frontiers in Public Health, 10, 924907.

 

Roghayeh Jahdi | Natural hazards | Best Researcher Award

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Dr. Roghayeh Jahdi | Natural hazards | Best Researcher Award

Associate Professor | University of Mohaghegh Ardabi | Iran

Associate Professor Roghayeh Jahdi is a distinguished expert in forest science and wildfire management based at the University of Mohaghegh Ardabili in Ardabil, Iran. Since 2018, she has served as Associate Professor and also acts as a Wildfire Management Consultant for Iran’s Natural Resources and Watershed Management Organization. With post‑doctoral experience at Italy’s National Research Council (CNR-IBE) and active roles in wildfire risk committees and GFMC liaison, she brings global insight to wildfire ecology and risk mitigation.

Professional Profile

Google Scholar

Education

Dr. Jahdi earned her Ph.D. in Forestry and Forest Economics from the University of Tehran (2011–2015) with a dissertation on fire behavior simulation in Golestan National Park. Prior to that, she completed an M.S. in Forestry & Forest Economics (2006–2008), studying urban green space change, and a B.Sc. in Natural Resources Engineering – Forestry (2002–2006) at Gorgan University. She also completed a Ph.D. internship at the University of Sassari (Italy) focused on environmental resource modeling.

Experience

Since 2018, Dr. Jahdi has held the position of Associate Professor at the University of Mohaghegh Ardabili and provides wildfire management consultancy to Iran’s Ministry of Agriculture. She has coordinated over 20 research projects, contributed to national wildfire strategy, and trained environmental professionals through the Department of Environment and GFMC initiatives. Her multifaceted roles blend research, policy development, and capacity building.

Research Interests

Dr. Jahdi focuses on wildfire ecology and risk, fire spread modeling, environmental remote sensing, and landscape change modeling. She develops fuel models, simulates fire behavior using algorithms like FARSITE and MTT, and assesses forest health dynamics driven by climate and vegetation change. Her work spans multiple ecosystems and contributes to risk-informed land management practices.

Awards

She has received several accolades including Best Researcher in Agriculture and Natural Resources at her university in January 2024, as well as Best Oral Paper Presentation awards in November 2023 at both national and international conferences in Iran and New Delhi. Her early academic excellence is also marked by Ph.D. and poster awards during her doctoral studies and internship in Italy.

Top Noted Publications

Conclusion

Dr. Roghayeh Jahdi is highly suitable for the Best Researcher Award. Her scientific excellence, international collaboration, and policy-level impact in the field of wildfire ecology and environmental modeling distinguish her as a leading expert in forest sciences and climate resilience. With a career defined by rigorous research, educational leadership, and national policy influence, she is a deserving and competitive candidate for this prestigious recognition.

Danish Khan | Engineering | Best Researcher Award

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Dr. Danish Khan | Engineering | Best Researcher Award

Research Assistant | Zhejiang University | China

Danish Khan is a dedicated researcher and engineer specializing in power systems, optimization, and machine learning applications for renewable energy. With a Ph.D. from Zhejiang University and a master’s from Shanghai Jiao Tong University, his work enhances the performance of grid-connected inverters and battery energy storage systems. Currently serving as a Postdoctoral Fellow at Hong Kong Industrial Artificial Intelligence & Robotics Centre (FLAIR), he advances smart energy systems through control design and AI integration.

Professional Profile

Scopus

Education

Danish Khan is an accomplished researcher in Electrical Engineering, specializing in power electronics and grid integration. He earned his Ph.D. from Zhejiang University (2020–2024), where his research focused on enhancing the stability of LCL-filtered grid-connected inverters a critical aspect of renewable energy systems. Prior to this, he completed his Master’s degree at Shanghai Jiao Tong University (2017–2020), conducting in-depth studies on resonance peak mitigation to improve power quality and system reliability. His academic foundation was laid at COMSATS University, Islamabad, where he earned his Bachelor’s degree in Electrical Engineering (2012–2016). Throughout his academic career, Danish has demonstrated a deep commitment to solving complex problems in energy systems through advanced modeling, control strategies, and system optimization. His work contributes significantly to the advancement of efficient and stable smart grid technologies. With strong analytical skills and a robust technical background, he stands out as a promising expert in sustainable and intelligent energy solutions.

Experience

Danish Khan brings robust hands-on research experience in AI-driven energy systems and embedded control. Currently, he is a Postdoctoral Research Fellow at FLAIR, Hong Kong, where he is actively engaged in the development of robotic-energy integration systems, merging advanced artificial intelligence techniques with power electronics. His work aims to create smarter, adaptive energy systems that align with the future of automation and sustainable technologies. Prior to this, he served as a Research Assistant at Shanghai Jiao Tong University, where he was involved in both academic and technical roles, managing lecture events and spearheading the development of novel inverter control strategies. His contributions during this time significantly advanced control techniques for power electronic converters, enhancing their performance in dynamic grid environments. Danish’s multidisciplinary expertise allows him to bridge AI, robotics, and energy systems positioning him as a valuable contributor in both academic and applied research environments focused on smart grid evolution and intelligent energy solutions.

Research Interests

Danish Khan’s research focuses on adaptive control, optimization, and machine learning within the realm of power electronics. He develops advanced control strategies for grid-connected inverters, solar photovoltaic (PV) systems, and battery energy storage solutions, aiming to enhance system efficiency and stability. His work also extends to glare analysis for infrastructure planning, addressing safety and performance concerns in renewable energy deployment. By integrating AI techniques like reinforcement learning, he strives to build intelligent, self-adaptive systems capable of responding to dynamic environmental and operational conditions. His research supports the development of resilient and efficient green technologies for sustainable energy futures.

Awards

Danish has been recognized with several prestigious awards, including the Chinese Government Scholarship for his Ph.D., the National Endowment Scholarship for Talent during his master’s, and the HEC Pakistan Scholarship for his undergraduate studies. He received a Bronze Medal from COMSATS and an Excellent Oral Presentation Award at an international conference in Shanghai (2019).

Top Noted Publications

Title: Enhanced Stability of Grid-Connected Inverter Using Adaptive Filtering Damping
Year: 2025
Cited by: 12

Title: A Reinforcement Learning-Based Control System for Higher Resonance Frequency Conditions
Year: 2024
Cited by: 17

Title: Half-Quadratic Criterion-Based Adaptive Control for Robust LCL-Filtered Inverter
Year: 2024
Cited by: 10

Title: Optimal LCL-Filter Design Using Metaheuristic Algorithms
Year: 2023
Cited by: 29

Title: Loss Reduction in Isolated Series Resonant Converter
Year: 2022
Cited by: 35

Title: Capacitor Current Resonance Suppression Using ASPR Plant Concept
Year: 2022
Cited by: 28

Conclusion

Danish Khan is a promising and technically advanced researcher whose work addresses some of the most pressing challenges in modern electrical power systems and renewable energy integration. With a solid research portfolio, strong publication record, hands-on experience, and international education, he stands out as a suitable candidate for the Best Researcher Award especially in emerging areas such as AI-powered energy systems and adaptive inverter control.

Adisu Makeyaw | Power System Protection | Best Researcher Award

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Mr. Adisu Makeyaw | Power System Protection | Best Researcher Award

Student, Bejing Jiaotong University, China.

Adisu Makeyaw is a passionate student researcher at Beijing Jiaotong University, specializing in power systems and energy storage technologies. With a strong academic background and a commitment to practical innovation, his research focuses on regenerative braking, traction substations, and transformer protection. He aims to bridge the gap between theoretical insights and industrial applications, contributing to sustainable urban electrification. ⚡🚆🔬

Professional Profile

Orcid

🎓 Education

Adisu holds an undergraduate degree focused on power systems and control strategies, culminating in his thesis titled “Research on Energy Storage System Scheme of Electrified Railway Traction Substation.” 📚🔋 Currently pursuing advanced research at Beijing Jiaotong University, he continues to build expertise in the energy sector and railway electrification. 🏫🎓

💼 Experience

He has hands-on experience with simulation modeling, transformer performance analysis, and stray current mitigation. His active collaboration with the State Grid Shanghai Electric Power Research Institute has allowed him to contribute meaningfully to transformer DC bias management in urban power networks. 🔧📊

🔬 Research Interests

Adisu’s research interests include regenerative braking energy recovery, energy storage for traction substations, DC bias in transformers, urban rail transit systems, and grid resilience. His interdisciplinary approach combines simulation, field testing, and engineering design. ⚙️📉🌍

🏅 Awards

Adisu is a nominee for the Best Researcher Award, recognizing his impactful contributions to power grid safety and sustainability through innovative transformer protection techniques and energy recovery strategies in urban transport systems. 🏆🔌🌐

📚 Top Noted Publications

Makeyaw, A.; Yang, X.; Sun, X.; Liu, K.; Wu, T.; Chen, L. (2025). Utility Transformer DC Bias Caused by Metro Stray Current—A Review. Energies, 18(14), 3678. 🔗 Read here

Conclusion

Adisu Makeyaw is a highly promising candidate for the Best Researcher Award, especially within the emerging researcher or student category. His commitment to addressing critical energy issues through both academic research and industry collaboration is evident and impactful. While his career is just beginning, the clarity of his research focus and early contributions to transformer protection and energy storage solutions suggest strong potential for long-term influence in the energy and transportation sectors. He is a deserving nominee whose future work is likely to further shape sustainable urban infrastructure and power resilience. 🌍🔋🔧

Muhammet Karabulut | Structural Engineering | Best Researcher Award

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Dr Muhammet Karabulut | Structural Engineering | Best Researcher Award

Post Doctoral Researcher, Zonguldak Bülent Ecevit University, Turkey 🏗️

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 🎓

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 🔬

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 🏆

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 📚

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. 🏆