Ivan Beloev | Energy Efficiency | Top Researcher Award

Prof. Ivan Beloev | Energy Efficiency | Top Researcher Award

University of Ruse "Angel Kunchev" | Bulgaria

Prof. Ivan Beloev is a distinguished academic and researcher in the field of transport technology and management, currently serving as the Head of the Center for Continuing Education and the Head of the Department of Transport at Ruse “Angel Kanchev” University, where he is also a Professor in Technology and Transport Management. His professional journey at the same institution spans over a decade, beginning as an Assistant in 2014 and progressing through roles as Assistant Professor, Associate Professor, and Professor. Prof. Beloev holds a Ph.D. in Transport, Shipping, and Aviation (2014–2015), with a dissertation focused on developing and researching modular systems for combined energy supply and emission monitoring in road transport. He also earned his Master’s and Bachelor’s degrees in Technology and Management of Transport from Ruse “Angel Kanchev” University. An active contributor to numerous national and international research and educational projects, his work includes initiatives under the Operational Program “Science and Education for Smart Growth” and national programs such as “Low-Carbon Energy for Transport and Household” and “Intelligent Livestock Breeding.” Prof. Beloev has led and participated in projects on multimodal transport technologies, driver training simulators, and digitalization in urban transport systems. His scholarly contributions include co-authoring the monograph Modelling of the Interaction of the Different Vehicles and Various Transport Modes: The Danube River, Multimodality and Intermodality (Springer, 2019), reflecting his commitment to advancing sustainable and intelligent transport systems.

Profiles: Google Scholar

Featured Publications

"Natural and Waste Materials for Desulfurization of Gaseous Fuels and Petroleum Products.  Fuels, I Iliev, A Filimonova, A Chichirov, A Vlasova, R Kamalieva, I Beloev, 2025"

"Modeling of Measuring Transducers for Relay Protection Systems of Electrical Installations, I Iliev, A Kryukov, K Suslov, N Kodolov, A Kryukov, I Beloev, Y Valeeva, 2025"

"Approach to Optimising and managing warehouse stocks in a car service. Baltic Journal of Economic Studies, I Beloev, D Grozev, 2025"

"Investigation in energy parameters of process of compacted soil transportation by flexible sectional screw conveyor, 24th International Scientific Conference, V Bulgakov, O Glazunova, O Trokhaniak, A Almeida, A Rucins, A Aboltins, 2025"

"Development of a Hybrid Expert Diagnostic System for Power Transformers Based on the Integration of Computational and Measurement Complexes, Energies, I Beloev, ME Alpatov, MS Garifullin, IF Galiev, SF Rakhmankulov, I Iliev, 2025"

Hafsa Abbade | Energy | Best Scholar Award

Ms. Hafsa Abbade | Energy | Best Scholar Award

Hafsa Abbade at ISA Laboratory, National School of Applied Sciences (ENSA), Ibn tofail university, Morocco

Hafsa Abbade is a Doctoral Researcher and State Engineer in Electrical Engineering with a specialization in Renewable Energy. Passionate about sustainable technologies and smart systems, she combines rigorous academic training with hands-on project experience in automation, intelligent energy systems, and robotics. With a strong command of programming, simulation tools, and embedded systems, she actively contributes to research in hydrogen-based electric vehicles and energy management systems.

Professional Profile:

Orcid Profile

Education Background

  • Doctorate in Electrical Engineering (Ongoing since Nov. 2024)
    Laboratoire des systèmes avancés (ISA), ENSA Kenitra
    Research Topic: Intelligent energy control and management system for hydrogen electric vehicles

  • State Engineer’s Degree in Electrical Engineering – Renewable Energies (2021–2024)
    ENSA Kenitra
    Graduation Project: Automation and supervision of a pumping station with ISPSoft/DOPSoft

  • Integrated Preparatory Classes for Engineering (2019–2021)
    ENSA Kenitra

  • Baccalaureate in Physical Sciences – French Option (2018–2019)
    Lycée MOHAMED V, Kenitra

Professional Development

  • Doctoral Research & Teaching Assistant in Electrical Engineering (Nov. 2024 – Present)
    ENSA Kenitra – ISA Lab
    Research on intelligent control systems for hydrogen vehicles.

  • Final Year Internship (Feb. – June 2024)
    POWER INTEGRATION, Casablanca
    Automated and supervised a large-scale pumping station.

  • Engineering Intern (July – Sept. 2023)
    CEGELEC VINCI Energies, Casablanca
    Designed electrical systems for CLUB MED Marrakech: power studies, cable routing, and transformer selection.

  • Technical Intern (July – Aug. 2022)
    ONCF (Moroccan National Railway Office)
    Observational training on LGV substations and energy efficiency.

Research Focus

  • Intelligent energy management systems

  • Hydrogen and fuel cell electric vehicles

  • Automation and control systems

  • Renewable energy systems (solar, wind)

  • IoT and smart robotics integration in energy

Author Metrics:

Hafsa Abbade is an emerging researcher in the field of electrical engineering with a particular focus on intelligent systems for energy management. Her academic contributions are beginning to gain visibility in indexed repositories such as Web of Science and other scholarly databases. She has authored and co-authored early-stage research outputs including technical dissertations and preprints centered on renewable energy integration and hydrogen fuel cell systems. As her doctoral research progresses, she aims to publish in high-impact journals and international conferences to strengthen her research visibility and citation profile. Her research dissemination strategy includes participation in scientific workshops, co-authored publications, and collaborative research dissemination through institutional platforms.

Awards & Honors

3rd Place, National Competition – JobItDay "AI for Humanity" (2023)

Research Skills

Hafsa’s research skills span renewable energy systems, electric machine control, automation, and IoT-based smart solutions. She is proficient in MATLAB/Simulink, PVsyst, ISPSoft, Arduino, and R programming. Her work includes AI-integrated robotics, smart irrigation, and data-driven energy analysis. She is also experienced in scientific writing, statistical modeling, and bibliometric research using tools like the Web of Science.

Publication Top Notes

Deep Learning-Based Performance Modeling of Hydrogen Fuel Cells Using Artificial Neural Networks: A Comparative Study of Optimizers
  • Authors: Hafsa Abbade, Hassan El Fadil, Abdellah Lassioui, Abdessamad Intidam, Ahmed Hamed, Yassine El Asri, Abdelouahad Fhail, Anwar Hasni

  • Journal: Processes

  • Volume: 13

  • Issue: 5

  • Article Number: 1453

  • Publication Date: May 9, 2025

  • DOI: 10.3390/pr13051453

  • Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

.Conclusion:

Ms. Hafsa Abbade is a promising and well-deserving candidate for the Best Scholar Award in Energy. Her technical versatility, impactful early research, and strong focus on hydrogen fuel cell technologies place her at the forefront of next-generation energy research. With her ongoing doctoral work, she is expected to make significant academic and practical contributions to the field of renewable energy and smart systems.