Dr. Valentina Janev | Renewable Energy | Best Researcher Award

Dr. Valentina Janev | Renewable Energy | Best Researcher Award 

Dr. Valentina Janev, The Mihajlo Pupin Institute, Serbia

Dr. Valentina Janev is a Senior Researcher at the Mihajlo Pupin Institute, University of Belgrade, Serbia. She holds a doctorate from the Faculty of Electrical Engineering, University of Belgrade, and completed her undergraduate studies at the Faculty of Electrical Engineering and Computer Science, University of Ljubljana, Slovenia. With a career spanning over two decades, Dr. Janev has led and contributed to numerous scientific projects, both national and European, funded by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia and the European Commission. Her research focuses on artificial intelligence, decision support systems, semantic technologies, and the management of complex infrastructures across sectors such as energy, transport, e-government, and healthcare. Dr. Janev has authored over 140 research papers and edited five books in her fields of expertise. She has coordinated international projects such as LAMBDA and SINERGY and contributed to AI-based services and decision-making systems in projects like PLATOON, OMEGA-X, and NEON. Since 2017, Dr. Janev has been serving as an expert and evaluator for the European Commission and has been an IEEE Senior Member since 2022. She has delivered several invited lectures at prestigious international conferences, including keynote addresses at ISIC 2023 and IHIC 2023.

Professional Profile:

ORCID

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award 

Dr. Valentina Janev is an exceptional researcher whose contributions to the fields of artificial intelligence, decision support systems, and semantic technologies make her a highly deserving candidate for the Best Researcher Award. Her extensive experience in both academic research and international collaborations has established her as a leading expert in managing complex infrastructures across sectors such as energy, healthcare, transport, and e-government.

Education 🎓

  • Doctorate in Electrical Engineering
    Faculty of Electrical Engineering, University of Belgrade, Serbia

  • Bachelor’s Degree in Electrical Engineering and Computer Science
    Faculty of Electrical Engineering and Computer Science, University of Ljubljana, Slovenia

Work Experience 💼

  • Senior Researcher
    “Mihajlo Pupin” Institute, University of Belgrade, Serbia
    (Since 2003)

    • Lead scientific projects funded by the Ministry of Science, Technological Development, and Innovation of Serbia.

    • Conducted research and innovation projects funded by the European Commission.

  • Project Manager / Researcher
    European Commission-funded Projects

    • Managed and contributed to over 15 international research projects.

    • Coordinated the LAMBDA Project (2018-2021) and SINERGY Project (2021-2023).

    • Led the development of analytical services and decision support systems in projects like PLATOON, OMEGA-X, NEON, IntelliLung, and EMILI.

Achievements 🏆

  • Published over 140 papers in top international journals (IEEE, Elsevier, Springer).

  • Authored 1 book and edited 4 books in the fields of AI, decision support, and semantic technologies.

  • Led the coordination of major European research projects focused on AI, energy management, and decision support systems.

  • Evaluator & Expert for the European Commission (Since 2017).

Awards & Honors 🎖️

  • IEEE Senior Member (2022)

  • Invited as Keynote Speaker at major international conferences, including ISIC 2023, IHIC 2023, and ACSS 2022.

  • Recognition for significant contributions to AI-based services and complex infrastructure management.

Publication Top Notes:

Validating the Smart Grid Architecture Model for Sustainable Energy Community Implementation: Challenges, Solutions, and Lessons Learned

Framework for Optimizing Neural Network Hyper Parameters for Accurate Wind Production Forecasting

Platform for Efficient Building Operation and Demand Response Flexibility Provision

Technologies and Concepts for the Next-Generation Integrated Energy Services

OMEGA-X: Energy Data Space for improving efficiency of electric power systems leveraging semantic interoperability and AI

Proceedings of the International Conference on Smart and Innovative eNERGY management

Approach to Energy System Modelling for Supporting Decarbonization Scenarios in Energy Communities

 

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

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