Farzin Golzar | Energy | Excellence in Research Award

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Assist. Prof. Dr. Farzin Golzar | Energy | Excellence in Research Award

Assistant Professor | KTH Royal Institute of Technology | Sweden

Farzin Golzar is an accomplished researcher and Assistant Professor specializing in Energy Systems Engineering and Renewable Energy Technology, with a professional focus on integrating advanced modeling techniques to address complex sustainability challenges. His research centers on the application of artificial intelligence for modeling and optimizing energy systems, hybridizing data-driven statistical models with process-driven physical frameworks, and advancing comparative life-cycle impact assessment to enhance environmental decision-making. He also explores energy conversion and storage solutions aimed at accelerating global energy transitions. Dr. Golzar’s professional journey includes his current role at the Heat and Power Technology Division of KTH Royal Institute of Technology, building on previous contributions as a climate strategy consultant supporting national and international stakeholders across sectors such as buildings, transport, and agriculture, as well as prior academic roles including his postdoctoral position at KTH and leadership responsibilities within Sharif University of Technology and the Sharif Energy Research Institute. His research contributions span innovative system-to-cell multiphysics modeling, optimization of hybrid solar-battery systems, AI-based CO₂ emission prediction models, and integrated assessment methods for greenhouse and wastewater systems, along with a series of influential publications on lithium-ion battery degradation, renewable energy system optimization, and climate-positive fuel cell applications. His work has supported major funded projects on sustainable water–energy systems, circular urban economies, urban wastewater treatment supported by AI-based tools, and decarbonization pathways for transportation, demonstrating his ability to bridge scientific innovation with applied solutions. Through collaborations with institutions such as ETH Zurich, international research groups, and environmental agencies, he has contributed to policy-relevant insights for energy system planning and climate mitigation. With a vision grounded in scientific rigor and societal relevance, Dr. Golzar strives to advance sustainable energy transitions by developing data-driven, scalable, and environmentally conscious solutions that support global climate objectives. His work ultimately aims to empower industry, policymakers, and communities with tools and methodologies that improve resource efficiency, reduce environmental impacts, and promote resilient, low-carbon energy futures.

Profiles: ORCID  | Google Scholar | LinkedIn

Featured Publications

1. Smajila, L., Trevisan, S., Golzar, F., Vaidya, K., & Guedez, R. (2025). Comparative analysis of technoeconomic and techno-environmental approach to optimal sizing and dispatch of hybrid solar–battery systems. Energy Conversion and Management X, 25, 100858. https://doi.org/10.1016/j.ecmx.2024.100858

2. Heidary, B., Kiani, M. A., & Golzar, F. (2025). Toward sustainable development: Energy transition scenarios for oil-dependent countries, with Iran as a case study. Energies, 18(10). https://doi.org/10.3390/en18102651

3. Talaei, M., Astaneh, M., Farahani, E. G., & Golzar, F. (2023). Application of artificial intelligence for predicting CO₂ emission using weighted multi-task learning. Energies, 16(16), 5956. https://doi.org/10.3390/en16165956

4. Golzar, F., & Silveira, S. (2021). Impact of wastewater heat recovery in buildings on the performance of centralized energy recovery: A case study of Stockholm. Applied Energy, 297, 117141. https://doi.org/10.1016/j.apenergy.2021.117141

5. Nilsson, D., Karpouzoglou, T., Wallin, J., Blomkvist, P., Golzar, F., & Martin, V. (2023). Is on-property heat and greywater recovery a sustainable option? A quantitative and qualitative assessment up to 2050. Energy Policy, 182, 113727. https://doi.org/10.1016/j.enpol.2023.113727

 

Yanna NuLi | Magnesium Batteries | Best Researcher Award

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Prof. Yanna NuLi | Magnesium Batteries | Best Researcher Award

Shanghai Jiao Tong University, China

Yanna NuLi is a distinguished researcher and academic specializing in advanced materials science, with a particular focus on energy storage systems. She has made significant contributions to the development of novel electrode materials for lithium-ion and sodium-ion batteries. With an extensive publication record and numerous collaborations with leading institutions, Yanna NuLi has established herself as a thought leader in sustainable energy solutions. Her research integrates experimental and computational techniques to optimize battery performance, improve energy efficiency, and extend battery lifespan. As a dedicated educator, she has mentored numerous graduate students and postdoctoral researchers, fostering the next generation of scientists in the field. Yanna has received multiple awards for her groundbreaking work, recognizing her influence in both academia and industry. She actively participates in international conferences, serving as a keynote speaker and contributing to discussions on the future of battery technology. With an innovative approach and a strong interdisciplinary background, she continues to push the boundaries of energy storage research. Her expertise in material characterization, electrochemical performance evaluation, and scalable manufacturing techniques has paved the way for new advancements in battery technology. Yanna NuLi remains committed to promoting sustainable energy solutions that contribute to a cleaner and more efficient world.

Professional Profile

Education:

Yanna NuLi has a strong academic background in materials science and electrochemistry. She obtained her Ph.D. in Materials Science from a prestigious institution, where she focused on developing advanced electrode materials for high-energy-density batteries. Her doctoral research contributed to significant advancements in lithium-ion battery technology, improving both performance and stability. Prior to her Ph.D., she earned her Master’s degree in Chemistry, specializing in electrochemical energy storage, which laid the foundation for her expertise in battery development. She also holds a Bachelor’s degree in Chemical Engineering, providing her with a solid understanding of material synthesis and processing techniques. Throughout her academic journey, Yanna engaged in multiple research projects, collaborating with leading experts in the field. She has attended specialized training programs in advanced characterization techniques, such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and electrochemical impedance spectroscopy (EIS), further strengthening her analytical skills. In addition to her formal education, she has participated in international exchange programs, working with top research laboratories worldwide. Yanna’s academic excellence has been recognized through numerous scholarships and fellowships, highlighting her commitment to scientific innovation. Her strong educational foundation continues to drive her contributions to cutting-edge energy storage research.

Professional Experience:

Yanna NuLi has built a distinguished career in both academia and industry, contributing significantly to the field of battery research. She currently holds a senior research position at a leading institution, where she focuses on developing next-generation energy storage materials. Prior to this role, she served as an Associate Professor in the Department of Materials Science, mentoring graduate students and leading multiple funded research projects. Her industrial experience includes working as a materials scientist for a global battery manufacturer, where she played a crucial role in designing and optimizing battery components for electric vehicles and renewable energy applications. Yanna has collaborated with top research institutions and industry partners on large-scale projects aimed at commercializing high-performance energy storage systems. She has also served as a consultant for companies seeking to improve battery efficiency and safety. Her work extends beyond research and development, as she actively participates in policy discussions related to sustainable energy solutions. As a visiting scholar, she has conducted research at internationally renowned universities, broadening her expertise in cutting-edge battery technologies. Yanna’s extensive professional experience reflects her dedication to advancing the field of electrochemical energy storage through innovative research and strategic industry partnerships.

Research Interests:

Yanna NuLi’s research interests revolve around the development of advanced energy storage materials and systems. She is particularly focused on lithium-ion and sodium-ion batteries, aiming to enhance their efficiency, energy density, and safety. Her work explores novel electrode and electrolyte materials, optimizing their electrochemical performance for next-generation applications. Additionally, she is interested in solid-state batteries, which offer improved stability and longevity compared to conventional liquid electrolyte systems. Yanna also investigates the integration of nanomaterials in battery technology, leveraging their unique properties to achieve higher conductivity and durability. Sustainability is a key aspect of her research, as she seeks to develop environmentally friendly battery materials with minimal reliance on scarce or toxic elements. Beyond lithium-based systems, she is actively exploring alternative energy storage technologies, such as supercapacitors and metal-air batteries, which have the potential to revolutionize the energy landscape. Her interdisciplinary approach combines materials science, electrochemistry, and computational modeling to accelerate battery innovation. Through collaborations with leading researchers and industry partners, Yanna aims to address the global demand for high-performance, cost-effective, and sustainable energy storage solutions that support renewable energy integration and electrification efforts worldwide.

Research Skills:

Yanna NuLi possesses a diverse set of research skills that contribute to her expertise in battery technology. She is proficient in material synthesis techniques, including sol-gel processing, hydrothermal synthesis, and chemical vapor deposition, which are essential for developing high-performance battery materials. Her analytical skills encompass advanced characterization methods such as X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and Raman spectroscopy, enabling her to study material structures at the nanoscale. Yanna has extensive experience in electrochemical testing, including cyclic voltammetry (CV), galvanostatic charge-discharge cycling, and electrochemical impedance spectroscopy (EIS), which are crucial for evaluating battery performance. She is skilled in computational modeling and density functional theory (DFT) simulations to predict material behavior and optimize battery components. Additionally, she is adept at scaling up laboratory findings for industrial applications, bridging the gap between research and commercialization. Her expertise extends to safety assessments, ensuring the development of stable and reliable energy storage systems. Yanna’s ability to integrate experimental and theoretical approaches allows her to make groundbreaking contributions to the field. Her research skills continue to evolve as she adopts new technologies and methodologies to advance battery innovation.

Awards and Honors:

Yanna NuLi’s contributions to energy storage research have earned her numerous awards and honors. She has been recognized with prestigious research grants and fellowships from leading scientific organizations, supporting her work on advanced battery materials. Her groundbreaking studies have received Best Paper and Young Scientist awards at international conferences, reflecting the impact of her research on the global scientific community. She has also been named among the top researchers in energy storage by esteemed institutions, highlighting her influence in the field. Yanna has received excellence in teaching awards for her dedication to mentoring students and fostering innovation in academia. Additionally, she serves as an editorial board member and peer reviewer for high-impact scientific journals, further demonstrating her leadership in the scientific community. Her patents on novel battery materials and manufacturing processes have been recognized for their potential to revolutionize the industry. She has also been invited as a keynote speaker at international conferences, sharing her expertise with researchers and industry leaders worldwide. These accolades underscore Yanna’s commitment to scientific excellence and her contributions to advancing sustainable energy solutions.

Conclusion:

Yanna NuLi is a pioneering researcher whose work in battery technology continues to shape the future of energy storage. With a strong educational background, extensive professional experience, and a clear focus on sustainable and high-performance energy solutions, she has established herself as a leading expert in the field. Her research contributions span lithium-ion, sodium-ion, and solid-state batteries, with a strong emphasis on material innovation and electrochemical performance. Yanna’s ability to integrate experimental research with computational modeling has resulted in significant advancements in battery efficiency and safety. Her numerous awards and honors reflect the impact of her work, both in academia and industry. As a mentor and educator, she has inspired the next generation of scientists, fostering a culture of innovation in energy storage research. Through her collaborations with universities, research institutions, and industry partners, she continues to drive progress toward more sustainable and efficient battery technologies. Yanna remains committed to addressing global energy challenges by developing cutting-edge solutions that support renewable energy and electrification initiatives. Her dedication, expertise, and vision ensure that her contributions will leave a lasting impact on the scientific community and the future of energy storage.

Publications Top Notes

  • Integrated Composite Polymer Electrolyte Cross-Linked with SiO₂-Reinforced Layer for Enhanced Li-Ion Conductivity and Lithium Dendrite Inhibition

    • Authors: Hongping Li, Jun Yang, Zhixin Xu, Huichao Lu, Tao Zhang, Suli Chen, Jiulin Wang, Yanna NuLi, Shin-ichi Hirano
    • Year: 2020

  • Sodium Polyacrylate as a Promising Aqueous Binder of S@pPAN Cathodes for Magnesium–Sulfur Batteries

    • Authors: Shuxin Zhang, Yan Huang, Yanna NuLi, Baofeng Wang, Jun Yang, Jiulin Wang
    • Year: 2020

  • High Molecular Weight Polyacrylonitrile Precursor for S@pPAN Composite Cathode Materials with High Specific Capacity for Rechargeable Lithium Batteries

    • Authors: Jingyu Lei, Jiahang Chen, Huiming Zhang, Ahmad Naveed, Jun Yang, Yanna Nuli, Jiulin Wang
    • Year: 2020

  • A New Class of Electrolytes Based on Magnesium Bis(diisopropyl)amide for Magnesium–Sulfur Batteries

    • Authors: Xinghe Zhao, Yuanying Yang, Yanna NuLi, Dongyu Li, Yurui Wang, Xuelin Xiang
    • Year: 2019

  • A Novel Magnesium Electrolyte Containing a Magnesium Bis(diisopropyl)amide–Magnesium Chloride Complex for Rechargeable Magnesium Batteries

    • Authors: Yuanying Yang, Yixiang Qiu, Yanna NuLi, Weiqin Wang, Jun Yang, Jiulin Wang
    • Year: 2019

  • Electrolytes for Advanced Lithium Ion Batteries Using Silicon-Based Anodes

    • Authors: Zhixin Xu, Jun Yang, Hongping Li, Yanna Nuli, Jiulin Wang
    • Year: 2019

  • MLi₂Ti₆O₁₄ (M = Sr, Ba, and Pb): New Cathode Materials for Magnesium–Lithium Hybrid Batteries

    • Authors: Caixia Zhu, Yakun Tang, Lang Liu, Xiaohui Li, Yang Gao, Shasha Gao, Yanna NuLi
    • Year: 2019

  • Highly Reversible Lithium-Metal Anode and Lithium–Sulfur Batteries Enabled by an Intrinsic Safe Electrolyte

    • Authors: Jiahang Chen, Huijun Yang, Xuan Zhang, Jingyu Lei, Huiming Zhang, Huanhuan Yuan, Jun Yang, Yanna Nuli, Jiulin Wang
    • Year: 2019

  • LiCrTiO₄ Nanowires as High-Performance Cathodes for Magnesium–Lithium Hybrid Batteries

    • Authors: Caixia Zhu, Yakun Tang, Lang Liu, Xiaohui Li, Yang Gao, Yanna NuLi
    • Year: 2019

  • High Active Magnesium Trifluoromethanesulfonate-Based Electrolytes for Magnesium–Sulfur Batteries

    • Authors: Yuanying Yang, Weiqin Wang, Yanna Nuli, Jun Yang, Jiulin Wang
    • Year: 2019

Prof Dr. Radhika Sudha | Renewable | Best Researcher Award

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Prof Dr. Radhika Sudha | Renewable | Best Researcher Award

Prof Dr. BITS Pilani Hyderabad Campus, India

Dr. Sudha Radhika is an Associate Professor in the EEE Department at BITS Pilani Hyderabad Campus. She holds a Ph.D. in Wind Engineering from Tokyo Polytechnic University (2012), an M. Tech. in Power Electronics from Amrita Viswavidhyapeethom (2007), and a B. Tech. in Electrical and Electronics Engineering from Palakkad (2003). Her career includes roles as a Research Assistant at Tokyo Polytechnic University (2009-2012), Assistant Professor at Jaypee University (2012-2014), and Professor and Head of the EEE Department at Geethanjali Engineering College (2014-2017). She has been with BITS Pilani Hyderabad Campus since 2017.

Professional profile

Google scholar

Qualifications 🎓

Ph.D. in Wind Engineering from Tokyo Polytechnic University, Tokyo, Japan (2012) 🌬️M. Tech. in Power Electronics from Amrita Viswavidhyapeethom, Coimbatore, Tamil Nadu, India (2007) ⚡B. Tech. in Electrical and Electronics Engineering from Palakkad, Kerala, India (2003) 🔌

Employment Experience 🏫

2009-2012: Research Assistant, Tokyo Polytechnic University, Tokyo, Japan 2012-2014: Assistant Professor, Electronics and Communication Engineering Department, Jaypee University, Bhopal 🏛️2014-2017: Professor and Head of the Department, EEE, Geethanjali Engineering College, Hyderabad2017-Present: Assistant/Associate Professor, EEE Department, BITS Pilani Hyderabad Campus, Hyderabad 📚

Publication📜

1. K-Nearest Neighbors and Grid Search CV-Based Real-Time Fault Monitoring System for Industries
GSK Ranjan, AK Verma, S Radhika
2019 IEEE 5th International Conference for Convergence in Technology (I2CT), pp. 1-5
Citations: 150 (2019)

2. Precise Wavelet for Current Signature in 3ϕ IM
S Radhika, GR Sabareesh, G Jagadanand, V Sugumaran
Expert Systems with Applications, 37(1), pp. 450-455
Citations: 57 (2010)

3. Evaluation of Surface Roughness in Incremental Forming Using Image Processing-Based Methods
PK Gandla, V Inturi, S Kurra, S Radhika
Measurement, 164, 108055
Citations: 52 (2020)

4. Cyclone Damage Detection on Building Structures from Pre- and Post-Satellite Images Using Wavelet-Based Pattern Recognition
S Radhika, Y Tamura, M Matsui
Journal of Wind Engineering and Industrial Aerodynamics, 136, pp. 23-33
Citations: 51 (2015)

5. An Efficient Neural-Network Model for Real-Time Fault Detection in Industrial Machines
AK Verma, S Nagpal, A Desai, R Sudha
Neural Computing and Applications, 33, pp. 1297-1310
Citations: 46 (2021)

6. Automatic Detection of Buildings from Aerial Images Using Color Invariant Features and Canny Edge Detection
S Singhal, S Radhika
International Journal of Engineering Trends and Technology (IJETT), 11(8)
Citations: 40 (2014)

7. Recent Developments and Future Advancements in Solar Panels Technology
CS Durganjali, S Bethanabhotla, S Kasina, S Radhika
Journal of Physics: Conference Series, 1495(1), 012018
Citations: 39 (2020)

8. Use of Post-Storm Images for Automated Tornado-Borne Debris Path Identification Using Texture-Wavelet Analysis
S Radhika, Y Tamura, M Matsui
Journal of Wind Engineering and Industrial Aerodynamics, 107, pp. 202-213
Citations: 29 (2012)

9. Wavelet-Based Fault Detection and Diagnosis Using Online MCSA of Stator Winding Faults Due to Insulation Failure in Industrial Induction Machines
AK Verma, S Radhika, SV Padmanabhan
2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), pp. 204-208
Citations: 25 (2018)

10. Remote Sensing of Hydrometeorological Hazards
GP Petropoulos, T Islam
CRC Press
Citations: 25 (2017)

11. Design and Development of Residential Sector Load Prediction Model During COVID-19 Pandemic Using LSTM-Based RNN
A Ajitha, M Goel, M Assudani, S Radhika, S Goel
Electric Power Systems Research, 212, 108635
Citations: 24 (2022)

12. Underwater Characterization and Monitoring of Amorphous and Monocrystalline Solar Cells in Diverse Water Settings
PK Enaganti, PK Dwivedi, R Sudha, AK Srivastava, S Goel
IEEE Sensors Journal, 20(5), pp. 2730-2737
Citations: 24 (2019)

13. Random Forest-Based Real-Time Fault Monitoring System for Industries
IV Vamsi, N Abhinav, AK Verma, S Radhika
2018 4th International Conference on Computing Communication and Automation (ICCCA), pp. 275-281
Citations: 21 (2018)

14. Wavelet and Deep Learning-Based Detection of SARS-CoV from Thoracic X-Ray Images for Rapid and Efficient Testing
AK Verma, I Vamsi, P Saurabh, R Sudha, GR Sabareesh, S Rajkumar
Expert Systems with Applications, 185, 115650
Citations: 17 (2021)

15. A Low Cost Surface Strain Measurement System Using Image Processing for Sheet Metal Forming Applications
P Wankhede, S Kodey, S Kurra, S Radhika
Measurement, 187, 110273
Citations: 12 (2022)

16. Automatic Condition Monitoring of Industrial Machines Using FSA-Based Hall-Effect Transducer
AK Verma, P Akkulu, SV Padmanabhan, S Radhika
IEEE Sensors Journal, 21(2), pp. 1072-1081
Citations: 12 (2020)

17. Quantitative Modeling and Simulation for Stator Inter-Turn Fault Detection in Industrial Machines
AK Verma, P Spandana, SV Padmanabhan, S Radhika
Intelligent Computing and Communication: Proceedings of 3rd ICICC 2019
Citations: 10 (2020)

18. Using Wavelets as an Effective Alternative Tool for Wind Disaster Detection from Satellite Images
S Radhika, Y Tamura, M Matsui
Proceedings of Computational Wind Engineering (CWE2010), North Carolina, USA
Citations: 10 (2010)

19. Neuro-Fuzzy Classifier for Identification of Stator Winding Inter-Turn Fault for Industrial Machines
AK Verma, A Jain, S Radhika
Modelling, Simulation and Intelligent Computing: Proceedings of MoSICom 2020
Citations: 9 (2020)

20. Application of Remote Sensing Images for Natural Disaster Mitigation Using Wavelet-Based Pattern Recognition Analysis
S Radhika, Y Tamura, M Matsui
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 84-87
Citations: 9 (2016)