Assoc. Prof. Dr. Mariana Kasynets | Energy reduction Awards | Best Researcher Award

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Assoc. Prof. Dr. Mariana Kasynets | Energy reduction Awards | Best Researcher Award

Assoc. Prof. Dr. Mariana Kasynets, Lviv Polytechnic National University, Ukraine

Mariana Kasynets is an Associate Professor in the Department of Heat and Gas Supply and Ventilation at Lviv Polytechnic National University in Ukraine. Born on September 24, 1987, in Lviv, she holds a Ph.D. and has over 12 years of experience in academia. A graduate of Lviv Polytechnic Institute in 2009, Dr. Kasynets has made notable contributions to her field, authoring a total of 70 scientific works, including 24 articles indexed in the Scopus database, with a Hirsch Index of H=8. Her research efforts focus on advancing knowledge in heat and gas supply systems.

Professional Profile:

Orcid

Suitability for the Research for Best Researcher Awards: Mariana Kasynets

Summary of Suitability

Mariana Kasynets is an exemplary candidate for the Research for Best Researcher Awards. Her extensive publication record, innovative research focus on ventilation and energy efficiency, and commitment to education and mentorship distinguish her as a leader in her field. Recognizing her with this award would not only honor her contributions but also encourage further advancements in sustainable building technologies, ultimately benefiting society by promoting healthier and more efficient living environments.

🎓Education:

In 2009, Mariana Kasynets graduated from Lviv Polytechnic Institute, earning a degree in higher education. She later pursued her Ph.D., specializing in areas related to heat and gas supply.

🏢Work Experience:

Mariana Kasynets has over 12 years of work experience and currently serves as an Associate Professor in the Department of Heat and Gas Supply and Ventilation at Lviv Polytechnic National University in Ukraine.

🏅Awards and Recognition:

Mariana Kasynets has authored a total of 70 scientific works, including 24 articles indexed in the Scopus database, demonstrating her significant contributions to her field. Her research impact is further reflected in her Hirsch Index of H=8.

Publication Top Notes:

  • Increasing the Efficiency of the Residential Buildings Premises Natural Ventilation
  • The Influence of the Interaction of Opposing Non-coaxial Round Jets on the Leakage Velocity Uniformity of the Resulting Air Flow
  • Enhancing of Efficiency of Solar Panels Combined with Buildings Coating
  • Mathematical Modeling of an Air Flow Leakage with the Jets Interaction at the Variable Mode

 

 

 

Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

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Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

Dr. Rituraj Patwal, Women Institute of Technology, India

Dr. Rituraj Singh Patwal, born on December 13, 1990, in Haldwani, Uttarakhand, India, is a specialist in Power System Optimization and Renewable Energy Systems. He holds a Ph.D. in Power System Optimization from Thapar Institute of Engineering and Technology, Patiala, where his thesis focused on “Optimal Generation Scheduling of Pumped Storage Hydrothermal Systems with Solar and Wind Energy Sources.” He also completed his M.Tech. in Power Systems from Thapar University and earned his B.Tech. in Electrical Engineering from Dehradun Institute of Technology. Dr. Patwal’s research interests include sustainable energy systems, optimization algorithms, generation scheduling, and renewable energy sources. He has over 9 months of experience as an Assistant Professor at GRD-IMT Dehradun, and has held similar roles at institutions like Meerut Institute of Technology and Thapar Institute of Engineering and Technology. His teaching portfolio includes subjects such as Basic Electrical Engineering, Network Analysis and Synthesis, and Industrial Internet of Things.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Rituraj Singh Patwal is highly suitable for the “Best Researcher Award” in his field based on his robust academic and research credentials. His work in Power System Optimization and Renewable Energy Systems highlights his expertise in areas critical to the energy sector, such as sustainable energy systems, optimization algorithms, generation scheduling, and the integration of renewable energy sources like solar and wind.

Education:

  1. Ph.D. in Power System Optimization
    • Institution: Thapar University
    • Year: 2021
    • Thesis Title: “Optimal Generation Scheduling of Pumped Storage Hydrothermal System with Solar and Wind Energy Sources”
    • Percentage (Course Work): 83%
  2. M.Tech. in Power System
    • Institution: Thapar University
    • Year: 2016
    • Percentage: 76%
  3. B.Tech. in Electrical Engineering
    • Institution: Dehradun Institute of Technology
    • Year: 2012
    • Percentage: 72%
  4. Intermediate (Science)
    • Board: CBSE
    • Year: 2008
    • Percentage: 83%
  5. High School (Science)
    • Board: CBSE
    • Year: 2006
    • Percentage: 86.2%

Work Experience:

  1. Assistant Professor
    • Institution: GRD-IMT, Dehradun
    • Duration: August 2024 – Present (9 months)
  2. Assistant Professor
    • Institution: Meerut Institute of Technology
    • Duration: November 2022 – July 2023 (8 months)
  3. Assistant Professor
    • Institution: Meerut Institute of Engineering and Technology
    • Duration: March 2021 – October 2022 (1 year 8 months)
  4. Lecturer (NT)
    • Institution: Thapar Institute of Engineering and Technology, Patiala
    • Duration: January 2018 – December 2020 (3 years)
  5. Shift Engineer
    • Company: Birla Tyres
    • Duration: July 2012 – April 2013 (10 months)

Publication top Notes:

 

Optimal generation scheduling of pumped storage hydro-thermal system with wind energy sources

Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach

Crisscross PSO algorithm for multi-objective generation scheduling of pumped storage hydrothermal system incorporating solar units

Optimal Economic Emission Scheduling of Integrated Energy Systems Using Heuristic Optimization Technique

A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units

Heuristic optimization technique for hydrothermal scheduling considering pumped storage unit