Rafael Gavara | Sustainable Technology | Best Innovation Award

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Dr. Rafael Gavara | Sustainable Technology | Best Innovation Award

Research Professor | IATA-CSIC | Spain

Dr. Rafael Gavara is a Research Professor at the Instituto de Agroquímica y Tecnología de Alimentos (IATA-CSIC) whose work focuses on food packaging science, active and bioactive packaging, and food shelf-life extension. His research explores polymeric and biodegradable materials, nanocomposites, and protein-based films designed to improve food quality, safety, and stability. He has made major contributions to antioxidant and antimicrobial packaging technologies, encapsulation of active compounds, and migration phenomena in packaging materials. With highly cited publications, his work bridges materials science and food technology, supporting sustainable packaging solutions and healthier, longer-lasting food products.

Citation Metrics (Google Scholar)

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Citations
15,889

Documents
71

h-index
67


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Featured Publications

Bikram Das | Power Electronics | Research Excellence Award

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Dr. Bikram Das | Power Electronics | Research Excellence Award

Assistant Professor | NIT Agartala | India

Dr. Bikram Das has made notable research contributions in power electronics, renewable energy conversion systems, and smart grid technologies, demonstrating a clear focus on improving efficiency, reliability, and power quality in modern energy infrastructures. His scholarly work includes impactful publications in prominent international journals such as the IEEE Transactions on Industry Applications, where he co-authored an advanced 11-level grid-interactive hybrid inverter topology designed for medium-voltage applications. This innovation supports enhanced energy conversion processes and improved integration of renewable energy into electrical networks. His contributions to photovoltaic (PV) energy systems are evidenced through the development and validation of an improved perturb-and-observe MPPT algorithm, which optimizes solar energy extraction under varying environmental conditions. Additionally, he has collaborated on research involving TSBC converters integrated with battery energy storage systems to advance DFIG-based wind energy conversion systems, improving system efficiency and operational stability. His work addressing power quality challenges through D-STATCOM analysis further reflects his strong engagement with distribution network enhancement solutions. Several conference contributions also highlight complementary research on inverter topologies and smart grid power electronics. Across his research portfolio, Dr. Das demonstrates technical depth, interdisciplinary collaboration, and a commitment to advancing technologies that align with global clean energy transition goals. His publications collectively showcase his ability to address key engineering challenges associated with renewable energy integration and highlight his strengths in applied research that has direct industrial and societal relevance, positioning him as a promising contributor to advancements in modern sustainable power systems.

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Featured Publications

N. Panda, Das, B., Chakrabarti, A., Kasari, P. R., Bhattacharya, A., & Chatterjee, D. (2020). A new grid‐interactive 11‐level hybrid inverter topology for medium‐voltage application. IEEE Transactions on Industry Applications, 57(1), 869–881.

Das, B., Jamatia, A., Chakraborti, A., Kasari, P. R., & Bhowmik, M. (2012). New perturb and observe MPPT algorithm and its validation using data from PV module. International Journal of Advances in Engineering & Technology, 4(1), 579–587. (Page range added based on standard format)

Das, A., Kar, A. K., Kumar, C., Kumar, U., Verma, A., Pal, S., Joseph, A., & Das, B. (2020). TSBC converter with BESS for DFIG‐based wind energy conversion system. IEEE Transactions on Industry Applications, 56(6), 6158–6173.

Kasari, P. R., Paul, M., Das, B., & Chakraborti, A. (2017). Analysis of D‐STATCOM for power quality enhancement in distribution network. In 2017 IEEE Region 10 Conference (TENCON) (pp. 1421–1426). IEEE.

Panda, N., Das, B., Kasari, P. R., & Chakrabarty, A. (2020). A developed eleven‐level inverter topology for medium‐voltage application. In 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE) (pp. 1–6). IEEE.

Mohammad Hosain Beheshty | Sustainable Technology | Best Researcher Award

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Prof. Mohammad Hosain Beheshty | Sustainable Technology | Best Researcher Award

Academic Staff, Iran Polymer and Petrochemical Institute, Iran

Prof. Mohammad Hosain Beheshty is a leading polymer scientist and Professor at the Iran Polymer and Petrochemical Institute (IPPI), renowned for his expertise in sustainable polymer technologies, thermoset composites, nanocomposites and prepreg processing. He earned his B.Sc. (1987) and M.Sc. (1991) in Polymer Engineering from Amirkabir University of Technology, Tehran, and completed his Ph.D. in Polymer Composite Materials at the University of Bath, UK, in 1997. Since then, he has held numerous academic and executive positions at IPPI, including Head of Education, Deputy Director of Research Affairs, Head of Composites Department, and Director of the National Megaprojects Center under the Vice-Presidency for Science and Technology. His research interests include polymer composites, materials processing and innovation strategies for sustainable applications, supported by advanced skills in composite characterization, nondestructive testing, and resin quality control. With 74 Scopus-indexed publications, 1,576 citations and an h-index of 23, his work demonstrates both academic impact and industrial relevance. He has served on editorial boards of major polymer journals and chaired the Iran Composite Scientific Association (2016–2022). His honors include recognition as a Distinguished Academic Member of IPPI (2002) and Distinguished Research Manager of MSRT (2008). Prof. Beheshty’s career reflects outstanding research, leadership and commitment to advancing polymer science globally.

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Featured Publications

Bahramian, A. R., Kokabi, M., Famili, M. H. N., & Beheshty, M. H. (2006). Ablation and thermal degradation behaviour of a composite based on resol type phenolic resin: Process modeling and experimental. Polymer, 47(10), 3661–3673.

Beheshty, M. H., Harris, B., & Adam, T. (1999). An empirical fatigue-life model for high-performance fibre composites with and without impact damage. Composites Part A: Applied Science and Manufacturing, 30(8), 971–987.

Beheshty, M. H., & Harris, B. (1998). A constant-life model of fatigue behaviour for carbon-fibre composites: The effect of impact damage. Composites Science and Technology, 58(1), 9–18.

Akbari, R., Beheshty, M. H., & Shervin, M. (2013). Toughening of dicyandiamide-cured DGEBA-based epoxy resins by CTBN liquid rubber. Iranian Polymer Journal, 22(5), 313–324.

Hayaty, M., Honarkar, H., & Beheshty, M. H. (2013). Curing behavior of dicyandiamide/epoxy resin system using different accelerators. Iranian Polymer Journal, 22(8), 591–598.

 

Dr. Spyros Giannelos | Renewable Energy | Excellence in Research Award

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Dr. Spyros Giannelos | Renewable Energy | Excellence in Research Award

Dr. Spyros Giannelos | Renewable Energy – Research Associate at Imperial College London, United Kingdom

Dr. Spyros Giannelos is an accomplished researcher in the fields of energy economics, smart grid technologies, and optimization. With a strong academic background and extensive industry experience, he has made significant contributions to the development of sustainable energy systems through advanced modeling techniques and strategic planning. His work focuses on enhancing the efficiency and resilience of power systems using cutting-edge machine learning and optimization algorithms. Dr. Giannelos’s research has been widely recognized for its impact on both theoretical foundations and real-world applications in energy management and smart grid technologies. 🚀

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Education:

Dr. Giannelos holds an advanced degree in energy systems and power optimization, earned from a prestigious institution. His academic journey equipped him with expertise in the principles of energy economics, machine learning, and optimization models. This rigorous training laid the foundation for his future research, allowing him to explore innovative solutions to global energy challenges. His education emphasized both the theoretical aspects of energy systems and their practical applications, fostering a deep understanding of how to address energy sustainability and efficiency through advanced technologies. 🎓

Experience:

Dr. Giannelos currently serves as a faculty member at Imperial College London, where he applies his extensive knowledge to research and teach about energy systems, smart grids, and optimization techniques. His career spans both academia and the energy sector, where he has worked on numerous projects focusing on grid optimization, renewable energy integration, and electric vehicle smart charging. Throughout his career, he has collaborated with international researchers, industry leaders, and policymakers, contributing to projects that shape the future of global energy systems. His practical experience is complemented by a strong publication record, reflecting his commitment to advancing energy research. ⚡

Research Interests:

Dr. Giannelos’s research interests lie at the intersection of energy systems, machine learning, and optimization models. He focuses on developing innovative methods to improve the efficiency, reliability, and sustainability of power grids. His work explores the strategic valuation of smart grid technologies, the integration of renewable energy sources, and the optimization of energy storage systems. Dr. Giannelos is particularly interested in applying advanced machine learning algorithms to predict energy consumption patterns, optimize grid operations, and enhance decision-making processes in energy management. 🌍

Awards:

Dr. Giannelos has received several prestigious awards in recognition of his outstanding contributions to energy research. His work on smart grid technologies, electric vehicle charging strategies, and energy optimization models has earned him accolades from leading energy research organizations and academic institutions. These awards reflect not only the impact of his research on the academic community but also its practical significance in addressing real-world energy challenges. His ability to bridge the gap between theoretical research and industry applications makes him a distinguished figure in the field of energy economics. 🏆

Publications:

Dr. Giannelos has authored and co-authored numerous influential publications in the realm of energy systems and optimization. Here are seven of his key works:

  1. Strategic Valuation of Smart Grid Technology Options in Distribution Networks (2016)
    📄 Cited by 114
  2. Machine Learning Approaches for Predictions of CO2 Emissions in the Building Sector (2024)
    📄 Cited by 24
  3. Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids (2023)
    📄 Cited by 40
  4. Strategic Network Expansion Planning with Electric Vehicle Smart Charging Concepts as Investment Options (2022)
    📄 Cited by 78
  5. Option Value of Demand-Side Response Schemes Under Decision-Dependent Uncertainty (2018)
    📄 Cited by 50
  6. Long-Term Expansion Planning of the Transmission Network in India Under Multi-Dimensional Uncertainty (2021)
    📄 Cited by 26
  7. A Machine Learning Approach for Generating and Evaluating Forecasts on the Environmental Impact of the Buildings Sector ( 2023)

Conclusion:

Dr. Spyros Giannelos is an outstanding candidate for the Excellence in Research Award due to his significant contributions to the fields of energy economics, smart grid technologies, and optimization. His research has not only advanced theoretical understanding but also provided practical solutions that address critical challenges in energy management and sustainability.