Rocío Mingorance | Chemical Engineering | Best Research Award

Mrs. Rocío Mingorance | Chemical Engineering | Best Research Award

Ikerlan Technology Research Center | Spain

Author Profile

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Early Academic Pursuits

Mrs. Rocío Mingorance began her academic journey with a strong foundation in chemical engineering from the University of Granada, where she developed expertise in process engineering and industrial systems. Her educational path expanded with a master’s degree in industrial maintenance engineering from the University of Huelva, which enriched her technical and managerial skills in plant operations and system reliability. Continuing her pursuit of advanced research, she enrolled in a doctoral program in naval and industrial engineering at the University of Coruña in collaboration with the Ikerlan Technology Research Center, where her focus lies on the development of digital twins for process plants.

Professional Endeavors

Her professional career reflects a steady progression through diverse engineering and industrial roles. Beginning with junior engineering positions in thermosolar power plants, she gained hands-on experience in thermal balances, plant operations, and preventive maintenance. Over the years, she expanded her portfolio through roles in research, consultancy, and control room operations, working with leading companies such as Abengoa, Birchman Consulting, Grupo Cosentino, and Marquesado Solar. Currently, she serves as a thermal engineer and algorithms manager at Sunntics, where she leads the design and implementation of advanced thermal control systems to optimize concentrated solar power plants.

Contributions and Research Focus

Mrs. Mingorance’s research and technical contributions have centered on advancing renewable energy technologies, thermal engineering, and digital solutions for industrial systems. Her expertise in developing and applying thermal models for heat and mass transfer has contributed significantly to improving system performance under standard and unexpected conditions. She has also pioneered work on digital twins, offering innovative methodologies to enhance operational strategies and resilience in manufacturing and energy plants. Her publications highlight her contribution to bridging traditional engineering with modern computational tools.

Accolades and Recognition

Her research and professional achievements have been recognized through publications in reputed international journals and conferences. Notably, her work on the evolution of digital twin solutions was presented at the IEEE Smart World Congress, reflecting her standing in the global research community. In addition, her continued contributions to the field of industrial and thermal engineering have positioned her as a promising scholar and professional in advancing sustainable and technologically driven energy solutions.

Impact and Influence

Through her interdisciplinary expertise, Mrs. Mingorance has influenced both industrial practices and academic research. Her ability to integrate advanced modeling techniques with real-world plant operations has enhanced the reliability, efficiency, and safety of thermal and renewable energy systems. Her contributions extend beyond direct applications, inspiring new approaches in engineering education, collaborative industry research, and the adoption of digital innovations in traditional sectors.

Legacy and Future Contributions

Looking forward, Mrs. Mingorance’s ongoing doctoral research in digital twins for process plants is expected to leave a lasting legacy in the field of industrial and naval engineering. By combining her strong background in thermal sciences with cutting-edge computational techniques, she is poised to contribute transformative solutions that support sustainability, automation, and resilience in complex industrial systems. Her career trajectory suggests continued advancements that will influence both academia and industry in the years to come.

Publications


  • Title: A methodology leveraging digital twins to enhance the operational strategy of manufacturing plants in unexpected scenarios

  • Authors: Rocío Mingorance, Diego Crespo Pereira, Jone Uribetxebarria, Urko Leturiondo

  • Journal: Results in Engineering

  • Year: 2025


  • Title: Evolution of Digital Twin solutions in the manufacturing industry

  • Authors: Rocío Mingorance, Diego Crespo Pereira, Jone Uribetxebarria, Urko Leturiondo

  • Journal/Conference: Proceedings of the 2023 IEEE Smart World Congress (SWC)

  • Year: 2023


Conclusion

Mrs. Rocío Mingorance exemplifies the synergy between engineering practice and academic research. With a solid educational foundation, diverse professional experiences, and impactful research contributions, she stands as a leading figure in renewable energy and digital innovation. Her work continues to shape sustainable industrial practices and drive the integration of advanced technologies in energy systems, reflecting a career dedicated to both excellence and progress.

 

Mr. Zonghai Chen | Engineering | Best Researcher Award

Mr. Zonghai Chen | Engineering | Best Researcher Award

University of Science and Technology of China | China

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Early Academic Pursuits

Chen Zonghai's academic journey commenced with a Bachelor's degree in Systems Science and Management Science from USTC, spanning from 1983 to 1988. He continued his education at USTC, achieving a Master's in Control Science and Engineering from 1988 to 1991.

Professional Endeavors

Chen Zonghai's career began as a Teaching Assistant at USTC's Department of Automation from 1991 to 1993. Progressing through the academic ranks, he served as a Lecturer from 1993 to 1995, an Associate Professor from 1995 to 1998, and has held the position of Professor since 1998. His work primarily focused on modeling, simulation, optimization of petrochemical processes, and later expanded into control of complex systems, intelligent science, robotics technology, and green energy.

Contributions and Research Focus

With a profound impact in the field, Chen Zonghai's research spans diverse areas, including modeling and control of complex systems, intelligent science, robotics technology, and green energy. His research interests also encompass fuzzy logic applications, renewable energy vehicles, and decision-making processes.

Accolades and Recognition

Chen Zonghai's exemplary contributions have earned him 13 national or local state technology awards in China. He holds credit for applying for 40 national patents and has an extensive publication record with over 450 papers and 3 monographs.

Impact and Influence

Chen Zonghai's influence extends beyond academia, with significant contributions to the technological landscape. His work on power lithium battery management systems, intelligent control technology for wind-solar hybrid energy, and simulation training systems have garnered national recognition.

Legacy and Future Contributions

As a Professor and Doctoral tutor at USTC, Chen Zonghai continues to shape the future of control science and engineering. His legacy includes numerous awards, a prolific publication record, and advancements in technology. His ongoing research projects, such as intelligent information representation and adaptation techniques for renewable energy vehicles, reflect his commitment to addressing contemporary challenges in the field.

Notable Publications

End-to-end deep learning powered battery state of health estimation considering multi-neighboring incomplete charging data 2024

A LiDAR SLAM System With Geometry Feature Group-Based Stable Feature Selection and Three-Stage Loop Closure Optimization 2023 (1)

Feature&Distribution-based LiDAR SLAM with Generalized Feature Representation and Heuristic Nonlinear Optimization 2023 (2)

Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay 2023

Two-level Battery Health Diagnosis using Encoder-decoder Framework and Gaussian Mixture Ensemble Learning Based on Relaxation Voltage 2023

 

 

 

 

Arikatla Jaya Lakshmi: Pioneering Engineering Excellence | Best Researcher Award

Dr. Arikatla Jaya Lakshmi | Engineering | Best Researcher Award

Vardhaman College of Engineering | India

Author Profile

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Early Academic Pursuits

Dr. A. Jaya Lakshmi embarked on her academic journey with a strong foundation in science and technology. Graduating with a degree in Electronic Communication Engineering (ECE) from Nimra College of Engineering and Technology, she exhibited a keen interest in exploring the realms of communications and signal processing. Her academic prowess continued with a master's degree in Communications and Signal Processing from V R Siddhartha College of Engineering. Dr. Lakshmi culminated her academic journey with a Ph.D. in Wireless Communications from JNTUA, Ananthapuramu, focusing on "Improved Spectrum Sensing and Interference Management in Multi-cluster Cognitive Radio Networks."

Professional Endeavors

Dr. A. Jaya Lakshmi commenced her professional career as an Assistant Professor at Gudlavalleru Engineering College in 2006. Over the years, she has contributed significantly to academia, with her expertise spanning microprocessors, wireless communications, digital signal processing, and more. Her commitment to education led her to various academic positions, including Assistant Professor at Vardhaman College of Engineering, where she currently serves.

Contributions and Research Focus

Specializing in microprocessors, digital signal processing, and wireless communications, Dr. Lakshmi has demonstrated a commitment to advancing knowledge in her field. Her Ph.D. research focused on enhancing spectrum sensing and interference management in cognitive radio networks, showcasing her dedication to addressing real-world communication challenges.

Accolades and Recognition

Dr. A. Jaya Lakshmi has earned recognition for her outstanding contributions. Notably, she was honored with the Best Researcher Award, a testament to the impact of her research in the field of wireless communications.

Impact and Influence

With a substantial list of research publications and a focus on cutting-edge technologies such as IoT and AI-enabled THz/6G, Dr. Lakshmi has made a lasting impact on the field of communication engineering. Her work in resource allocation for cognitive third-party users and gender detection using machine learning reflects her commitment to innovative research.

Legacy and Future Contributions

Dr. A. Jaya Lakshmi's legacy lies in her commitment to education, research, and technological advancements. Her influence extends to her role in organizing workshops and courses, contributing to the development of the academic community. As she continues her journey, her future contributions are poised to shape the landscape of wireless communications and signal processing further.

Notable Publications

Dynamic Coordinative Estimation Enhancement in Cognitive Radio Network 2022 (4)

Resource Allocation in Spectrum Deployment for Cognitive Third-party Users 2021

Optimal Channel Allocation for QoS Provisioning in Cognitive Multihop Radio Adhoc Network 2018 (2)

An Efficient Hybrid Parallel Prefix Adders for Reverse Converters using QCA Technology 2016

Design and Simulation of a Low Power Viterbi Decoder using Constraint Length Nine 2013 (1)