Tomi Paalosmaa | Sustainability | Best Researcher Award

Mr. Tomi Paalosmaa | Sustainability | Best Researcher Award

Mr. Tomi Paalosmaa, Vaasa University of Applied Sciences (VAMK), Finland

Mr. Tomi Paalosmaa is a Senior Specialist, Project Manager, and Doctoral Researcher in Sustainable Regional Development at the University of Vaasa. With expertise in ๐ŸŒฑ sustainability, smart cities, innovation ecosystems, andย co-creation, he leads and contributes to national and EU-funded research projects. He also lectures at VAMK on innovation management. Tomi holds an M.Sc. in Smart Energy and a B.Sc. in Energy & Environmental Engineering. His JUFO-ranked publications emphasize trust-building and ecosystem orchestration. With strong communication and leadership skills, he bridges academia, policy, and industry for real-world impact.

Publication Profile

Scopus

Google Scholar

๐Ÿ”ฌ Current Research & Academic Engagement

Mr. Tomi Paalosmaa has served as a Senior Specialist, Project Manager, Researcher, and Lecturer at Design Centre MUOVA, Vaasa University of Applied Sciences (VAMK) ๐ŸŽ“. He leads sustainability and innovation-focused projects such as the Design PSS and Enertelligence (EAKR) ๐ŸŒฑโš™๏ธ, while contributing to ecosystem development through the Port of Vaasa project โš“. As a lecturer, he teaches innovation and co-creation ๐Ÿ“˜. His event initiatives like IMPACT and VIBE emphasize inclusiveness and student well-being ๐Ÿค. Tomi is also active in academic publishing (JUFO) ๐Ÿ“ and project ideation, including AI-driven research concepts

๐ŸŽ“ Doctoral Research & Academic Contributions

Mr. Tomi Paalosmaa has been pursuing his Ph.D. at the University of Vaasa, School of Technology and Innovations ๐Ÿซ. His dissertation, titled โ€œSustainable Regional Development: The Interplay between Trust, Co-creation, and Innovation Ecosystem Orchestrationโ€, explores key areas such as ๐ŸŒฑ sustainability, ๐Ÿค stakeholder engagement, and ๐Ÿ”„ ecosystem orchestration. His JUFO-ranked publications address smart cities, smart mobility, energy optimization, and collaborative innovation ๐Ÿง ๐Ÿ“ˆ. Notable works include case studies on Vaasa Port, urban sustainability, and manufacturing SMEs. These contributions support his mission to foster inclusive, data-driven, and trust-based innovation ecosystems across regions

๐Ÿ” Research Focus

Mr. Tomi Paalosmaaโ€™s research centers on innovation ecosystems ๐ŸŒ, smart cities ๐Ÿ™๏ธ, and carbon-neutral development ๐ŸŒฑ. His work explores the intersection of trust, stakeholder co-creation, and the orchestration of public-private partnerships ๐Ÿค. Through case studies like the City-Port-Maritime Nexus and Vaasaโ€™s smart mobility projects ๐Ÿš—โšก, he investigates sustainable transitions, digitalization, and energy optimization ๐Ÿ’ก. His contributions reflect a transdisciplinary focus that blends industrial management, urban innovation, and emerging technologies ๐Ÿค– to support regional resilience and climate goals ๐ŸŒ. This places him in the category of Sustainable Innovation & Smart Regional Development

Publication Top Notes

๐Ÿ“˜ “Carbon neutrality: Trusting in the emergence of an innovation ecosystem in the smart city-port-maritime Nexus”

๐Ÿ“— “Feasibility of Innovative Smart Mobility Solutions: A Case Study for Vaasa” โ€“ T. Paalosmaa, M. Shafie-khah โ€“ Cited by: 18 ๐Ÿ“… Year: 2021

๐Ÿ“™ “Feasibility of Innovative Smart Mobility Solutions for Vaasa โ€“ A Case Study of EU Horizon 2020 IRIS Project” โ€“ T.M. Paalosmaa โ€“ Cited by: 1 ๐Ÿ“… Year: 2021

Abdelrazek Elnashar | Water Sciences | Best Researcher Award

Dr. Abdelrazek Elnashar | Water Sciences | Best Researcher Award

Researcher at University of Kassel, Germany

Abdelrazek Elnashar is a soil and water scientist specializing in remote sensing, GIS, and machine learning applications for environmental sustainability. He earned his B.Sc. from Kafr El-Sheikh University, M.Sc. from Cairo University, and Ph.D. from the University of Chinese Academy of Sciences. Currently, he is a lecturer at Cairo University and a researcher at the University of Kassel, Germany. His expertise includes cloud computing, Earth observation, and geospatial analysis for soil-crop modeling. Passionate about achieving Sustainable Development Goals (SDGs), he integrates advanced data analytics with environmental research to address global challenges in soil and water management.

Publication Profile

Orcid

Academic Background ๐ŸŽ“

Elnashar holds a B.Sc. in Soil and Water Sciences from Kafr El-Sheikh University (2008), followed by an M.Sc. in Natural Resources (Soil Resources) from Cairo University (2016). He later earned a Ph.D. in Cartography and Geographic Information Systems from the University of Chinese Academy of Sciences (2022), specializing in remote sensing of land and water resources. His education focused on Earth observation, geospatial modeling, and machine learning applications in soil and water sciences. His academic journey reflects a strong interdisciplinary approach, integrating environmental sciences, remote sensing, and computational techniques for sustainable land and water management.

Professional Experience ๐Ÿ’ผ

Elnashar has held various research and academic positions, starting as an assistant researcher at Egyptโ€™s Ministry of Water Resources (2009-2011). He then served as a demonstrator (2011-2016) and assistant lecturer (2016-2018) at Cairo University, followed by a research assistantship at the University of Chinese Academy of Sciences (2018-2022). Since 2022, he has been a lecturer at Cairo University and a researcher at the University of Kassel, Germany. His expertise spans remote sensing, machine learning, and soil-water modeling, integrating cloud computing and GIS technologies for environmental research and sustainable resource management.

Awards and Honors๐Ÿ†

Elnashar received several academic distinctions, including the “Excellent International Graduate Student” award from the University of Chinese Academy of Sciences (2022) and the “Outstanding Graduate Scholarship” from the Aerospace Information Research Institute (2021). He was also recognized as an “Excellent International Student” by UCAS in 2021. His achievements highlight his contributions to remote sensing and environmental modeling, earning recognition for innovative research and academic excellence. His work in Earth observation, machine learning, and soil-water sciences continues to receive global acknowledgment for advancing sustainable land management solutions.

Research Focus ๐Ÿ”ฌ

Elnasharโ€™s research integrates Earth observation, remote sensing, and machine learning to address environmental challenges in soil and water sciences. His work includes cloud computing applications like Google Earth Engine, statistical downscaling, and geospatial modeling for soil erosion, evapotranspiration, and crop yield prediction. He has developed machine learning-driven tools for land and water resource assessment, contributing to sustainable agriculture and climate resilience. His expertise in GIS, remote sensing, and computational modeling supports global efforts in environmental monitoring and achieving SDGs through advanced data analytics and geospatial technologies.

Publication Top Notes

Conclusion

Abdelrazek Elnashar is a distinguished researcher specializing in Soil and Water Sciences, Remote Sensing, GIS, Machine Learning, and Cloud Computing, with a strong international presence across Egypt, Germany, and China. His impactful research in evapotranspiration mapping, climate modeling, soil erosion assessment, and crop yield prediction has been published in top-tier journals like Journal of Hydrology and Scientific Reports. He has received prestigious awards, including the Excellent International Graduate Student Award (UCAS, 2022) and the Outstanding Graduate Scholarship (AIRCAS, 2021). With expertise in Google Earth Engine, Python, and AI-driven geospatial applications, his work significantly contributes to climate adaptation, water resource management, and agricultural sustainability, making him a strong candidate for the Best Researcher Award.

 

 

Shuli Liu | Environmental Science | Best Researcher Award

Shuli Liu | Environmental Science | Best Researcher Award

Assoc Prof Dr Shuli Liu, North China University of Water Resources and Electric Power, China

Assoc. Prof. Dr. Shuli Liu has an impressive academic and research background, making her a strong candidate for the Best Researcher Award.

Publication profile

Scopus

Education and Research Experience

Dr. Liu has a solid academic background, beginning with a Ph.D. in Municipal Engineering at Harbin Institute of Technology. Her experience spans from Lecturer (2016-2021) to Associate Professor (2021-present) at the North China University of Water Resources and Electric Power, specializing in environmental and municipal engineering.

Research Leadership

Dr. Liu leads multiple cutting-edge projects, including research on photosynthetic bacteria in wastewater treatment, synthesis of high-value materials, and membrane bioreactors. These projects, running from 2020 to 2026, address both environmental concerns and resource utilization.

Awards & Grants

Her National Award for Distinguished Doctorates (2015) from Harbin Institute of Technology recognizes her early academic excellence, showcasing her long-standing contribution to the field.

Skills and Expertise

Dr. Liu’s expertise includes wastewater treatment using photosynthetic bacteria, nitrogen and phosphorus removal, and recycling activated sludge. Her practical applications in environmental engineering demonstrate technical depth.

Publications

  1. Bacteria-Algae Symbiosis for Wastewater Treatment (2024)
    This review discusses performance mechanisms and resource recycling in wastewater treatment through bacteria-algae symbiosis, showcasing a sustainable, closed-loop approach.
  2. Resistance Mechanism of Humic Acids Against Silver Nanoparticles (2024)
    Dr. Liu contributed to understanding how activated sludge resists pollutants, enhancing wastewater treatment processes.
  3. Magnetic Iron-Based Waterworks Sludge for Chromium Adsorption (2024)
    Her research explores innovative methods to treat water, using modified sludge to adsorb and reduce heavy metals, like Cr(vi), from water systems.
  4. Effects of Nitrogen and Carbon Source on Protein Production by Rhodopseudomonas (2024)
    This article covers how varying nitrogen and carbon inputs can optimize biomass and protein production in wastewater treatment, contributing to resource recycling.
  5. Chain Elongation in Biomass Waste Conversion (2024)
    Dr. Liu’s review on biomass waste transformation into medium-chain fatty acids offers promising advancements in waste-to-energy technology.

Conclusion

Dr. Shuli Liu is a strong candidate for the Research for Best Researcher Award due to her innovative approach to wastewater treatment, notable academic contributions, and leadership in sustainable resource recovery. Her research in photosynthetic bacteria and environmental engineering pushes boundaries in the field of wastewater management.