Alice Cervellieri | Engineering | Best Researcher Award

Posted on 12/12/202416/12/2024 by Book of Award

Dr. Alice Cervellieri | Engineering | Best Researcher Award

Politecnico di Torino | Italy

Author Profile

Early Academic Pursuits 🎓

Dr. Alice Cervellieri began her academic journey with a Bachelor’s degree in Civil and Environmental Engineering from the University of Engineering, Bologna, in 2005, achieving a perfect score of 110/110 laude. Her pursuit of excellence continued with a Master’s degree in Civil Engineering from the same institution in 2011. Notably, she expanded her intellectual horizons by earning a Bachelor’s degree in Linguistic Mediation Sciences from the School of Advanced Linguistic Mediation in 2019, graduating with an outstanding average of 29. Her educational endeavors were further enriched by certifications and specialized training. She participated in the ERASMUS Virtual Exchange program in 2020, focusing on dialogue facilitation, and completed the “Certificatore Energetico” course by Assform in 2016, gaining qualifications as an energy certifier. Dr. Cervellieri also acquired advanced knowledge in digital transformation technologies through a prestigious course at the Massachusetts Institute of Technology (MIT) in 2021.

Professional Endeavors 🌍

Dr. Cervellieri has played significant roles in academia and professional training. She served as a visiting professor at the Catholic University of Manizales, Colombia, in November 2020. Her teaching contributions also include assignments for the Emilia Romagna Region’s “Energy Certifier” course and tutoring roles for EUSAIR Week. Since 2021, she has been a mentor for Harvard University’s Mentorship Project, showcasing her dedication to fostering the next generation of scholars. Her formal qualifications to practice civil engineering were solidified by passing the state examination at the Polytechnic University of Marche in 2016. These accomplishments underscore her dual commitment to practical engineering applications and academic mentorship.

Contributions and Research Focus 🔄

Dr. Cervellieri’s research lies at the intersection of energy analysis and comfort optimization in residential and rural buildings. Her studies delve into established metrics such as PMV (Predicted Mean Vote) and PPD (Percentage of People Dissatisfied), as well as the development of novel indices like OTE and OEE. These indices, drawn from the manufacturing sector, have been innovatively adapted to enhance energy efficiency and occupant comfort. Her international collaborations have facilitated the development of groundbreaking algorithms, as evidenced by her impressive publication record. Dr. Cervellieri’s contributions include six publications in international scientific journals, ten conference proceedings, six books, two posters, and a national journal article.

Accolades and Recognition 🏆

Dr. Cervellieri’s academic achievements have been consistently recognized. Her selection as a mentor for prestigious projects like the Harvard Mentorship Program underscores her global standing as an educator and researcher.

Impact and Influence 💡

Dr. Cervellieri has significantly influenced the field of sustainable engineering through her participation in international projects. She contributed to the EU H2020 Project "ENCORE," which focused on energy-aware BIM Cloud Platforms for efficient building renovation. Additionally, her work in the EFRE-FESR Project "Brotweg" explored innovative mechanized solutions for high-altitude cereal production in alpine environments. These projects reflect her commitment to sustainable development and technological advancement. Her participation in the Erasmus+ Virtual Exchange project (2018-2020) exemplifies her dedication to fostering intercultural learning and virtual collaboration, providing young minds with transformative educational experiences.

Legacy and Future Contributions 🌱

Dr. Alice Cervellieri’s legacy is one of interdisciplinary excellence and global collaboration. Her contributions to energy-efficient building systems and educational mentorship are poised to leave a lasting impact on the fields of civil engineering and sustainable development. With her commitment to innovation and fostering cross-cultural dialogue, she is well-positioned to continue influencing academia and industry for years to come. As she advances her career, Dr. Cervellieri’s work will undoubtedly inspire future engineers and researchers to embrace sustainability and technological innovation as integral components of their practice.

Publications

📄 A Feed-Forward Back-Propagation Neural Network Approach for Integration of Electric Vehicles into Vehicle-to-Grid (V2G) to Predict State of Charge for Lithium-Ion Batteries
Authors: Alice Cervellieri
Journal: Energies
Year: 2024

📄 On the Synthesis of Holonic Management Trees
Authors: Pirani, M., Bonci, A., Cervellieri, A., Longhi, S.
Journal: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2021

📄 Innovative Approach in Cyber-Physical System for Smart Building Efficiency Monitoring
Authors: Bonci, A., Cervellieri, A., Longhi, S., Pirani, M.
Journal: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2021

📄 The Double Propeller Ducted-Fan, an UAV for Safe Infrastructure Inspection and Human-Interaction
Authors: Bonci, A., Cervellieri, A., Longhi, S., Nabissi, G., Antonio Scala, G.
Journal: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2020

📚 Brotweg—A Path of Bread in an Alpine Environment: New Mechanical Solutions for Grain Processing in Steep Mountain Slopes
Authors: Mayr, S., Brozzi, R., Cervellieri, A., Sacco, P., Mazzetto, F.
Journal: Lecture Notes in Civil Engineering
Year: 2020

Elaheh Yaghoubi | Energy | Best Researcher Award

Posted on 11/07/202411/07/2024 by Book of Award

Dr. Elaheh Yaghoubi | Energy | Best Researcher Award

Karabuk University | Turkey

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Early Academic Pursuits

Dr. Elaheh Yaghoubi's academic journey began with an Associate's degree in Electrical Engineering from University College of Rouzbahan, Iran, where she graduated with a GPA of 3.5. She then pursued a Bachelor's degree in Electrical Engineering at Aryan Institute of Science and Technology University, Iran, achieving a perfect GPA of 4. Following this, she completed her Master's degree in Electrical Engineering at Islamic Azad University in Qaemshahr, Mazandaran, Iran, again with a perfect GPA of 4. Her Master's thesis focused on developing a routing algorithm for a proposed topology for a grid on a large-scale chip to detect errors. Dr. Yaghoubi is currently a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University in Turkey, where she is working on her thesis titled "Optimal power control of grid-connected distributed generation in a hierarchical framework based on Model Predictive Control."

Professional Endeavors

Dr. Yaghoubi has a diverse professional background that complements her academic achievements. From 2015 to 2018, she served as a Senior Manager at Kati Kabl Tabarestan Factory in Mazandaran, Iran, where she was responsible for quality assurance, inspecting products to ensure high quality, and troubleshooting technical issues. She then worked as a Senior Manager at Rico Electronics Company in Mazandaran, Iran, overseeing product quality assurance and implementing design modifications. From 2019 to 2021, she worked as a Website Designer at WebCore Company in Mazandaran, designing front-end interfaces with HTML, CSS, and JavaScript, and back-end systems with PHP and Laravel. Currently, Dr. Yaghoubi is a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) group, focusing on investigation, teaching, and designing.

Contributions and Research Focus

Dr. Yaghoubi's research interests are broad and interdisciplinary, encompassing power system analysis, power system stability, power management, microgrids, smart grids, renewable energies, model predictive controllers (MPC), artificial neural networks, machine learning, deep learning, plasmonic applications, and nano-electronic devices. Her current research work involves optimal power control of grid-connected distributed generation using model predictive control, a topic that is crucial for the advancement of smart grids and renewable energy systems. She has also contributed to the understanding and development of routing algorithms for large-scale chips and has experience in quality control and product management in industrial settings.

Accolades and Recognition

Throughout her academic and professional career, Dr. Yaghoubi has been recognized for her excellence and contributions. She successfully passed her Ph.D. qualification exam with a perfect grade of 4 out of 4. Her consistent academic performance, marked by perfect GPAs during her Bachelor's and Master's studies, reflects her dedication and expertise in her field.

Impact and Influence

Dr. Yaghoubi's work has had a significant impact on both academic and industrial fields. Her research on smart grids, optimization techniques, and model predictive control contributes to the development of more efficient and reliable power systems. Her practical experience in quality control and product management ensures that her research is grounded in real-world applications and industrial standards.

Legacy and Future Contributions

Dr. Yaghoubi's legacy lies in her interdisciplinary approach to electronic and electrical engineering, integrating theoretical research with practical applications. Her work in power systems, renewable energy, and advanced control techniques positions her as a key contributor to the future of smart grid technology and sustainable energy solutions. As she continues her research and professional activities, Dr. Yaghoubi is likely to make further significant contributions to the field, driving innovation and excellence in electronic and electrical engineering.

Notable Publications

A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering 2024

Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller 2023 (1)

Saida Bedoui | Engineering | Best Researcher Award

Posted on 29/06/202429/06/2024 by Book of Award

Dr. Saida Bedoui | Engineering | Best Researcher Award

Gabes University | Tunisia

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Early Academic Pursuits

Dr. Saida Bedoui’s academic journey is marked by an exceptional pursuit of knowledge and excellence in electrical engineering and related fields. She began her educational journey at Lycée République in Gabès, Tunisia, where she earned her Bachelor of Mathematics in June 2003. Following this, she attended the Higher Institute of Applied Sciences and Technology of Gabes, where she completed her preparatory classes for the National Engineering School with a focus on Physics and Mathematics in July 2005, securing admission to the engineering school. Her higher education was pursued at the National Engineering School of Gabes, where she obtained her degree in Electric-Automatic Engineering in July 2008, graduating with a “Very Good” rating. She further specialized by obtaining a Master's in Automatic and Intelligent Techniques in June 2009, also with a “Very Good” rating. Dr. Bedoui then achieved her PhD in Electrical Engineering in March 2013 with the highest honors, and later completed her Habilitation Thesis in Electrical Engineering at Gabes University in February 2023.

Professional Endeavors

Dr. Bedoui’s professional career spans several prestigious roles in academia. She started as a contractual lecturer at the National Engineering School of Gabes from 2008 to 2012. She then served as a lecturer at the Higher Institute of Applied Sciences and Technology of Gafsa from 2012 to 2013. Since September 2013, she has been an Assistant Professor at the Higher Institute of Industrial Systems of Gabes, where she has been involved in teaching a variety of subjects, including Automatic, Electronics, and Industrial Computing, at all levels of higher education.

Contributions and Research Focus

Dr. Bedoui’s research interests primarily focus on the identification and control of time-delay systems. Her PhD thesis contributed significantly to this field by proposing methods to identify time-delay systems, addressing the simultaneous identification of time delay and dynamic parameters of both mono-variable and multi-variable time-delay systems. Her work includes the development of new approaches for generating libraries of local models for nonlinear time-delay systems. Her contributions extend to supervising numerous graduate projects and theses. She has guided students in projects ranging from the design and implementation of road junction prototypes to the modernization of control systems for industrial applications.

Accolades and Recognition

Dr. Bedoui has been recognized for her work with various scholarships and research stays at esteemed institutions. Notably, she received a CSC scholarship for a research stay at Jiangnan University, PR China, in 2023. She has also undertaken research stays at the Laboratory of Engineering Systems in Caen, France, and the Research Center for Automatic Control of Nancy, France.

Impact and Influence

Dr. Bedoui has played a pivotal role in several significant projects and associations. She served as the project manager for the initiative "Strengthening the Capacity of the 4C Center in Training and Support for Students and Young Graduates of ISSI-Gabes" from January 2020 to February 2022. Additionally, she has been the Director of the Career Center and Skills Certification and has been actively involved with the Tunisian Association of Automatic and Digitizing in various capacities since 2010.

Legacy and Future Contributions

Dr. Bedoui’s legacy is characterized by her dedication to advancing the field of electrical engineering through both education and research. Her extensive teaching experience, coupled with her innovative research, has made significant contributions to the academic community. Her work continues to influence the development of automatic and intelligent systems.

Notable Publications

Iterative parameter identification for Hammerstein systems with ARMA noises by using the filtering identification idea 2024

On the combined estimation of the parameters and the states of fractional-order systems 2023 (2)

Diagnosis and fault tolerant control against actuator fault for a class of hybrid Dynamic systems 2023 (3)

Convergence Analysis of Forgetting Factor Least Squares Algorithm for ARMAX Time-Delay Models 2022 (1)

Parameter and State Estimation of Nonlinear Fractional-Order Model Using Luenberger Observer 2022 (6)

Fan Wang | Engineering | Best Researcher Award

Posted on 03/04/202404/04/2024 by Book of Award

Dr. Fan Wang | Engineering | Best Researcher Award

Nanjing University of Information Science and Technology | China

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Early Academic Pursuits

Dr. Fan Wang's academic journey commenced with a Bachelor of Science in Mathematics from Hefei Normal University, China. This foundational education laid the groundwork for her subsequent pursuit of higher studies. She then pursued a Master's degree at the School of Mathematics, Southeast University, Nanjing, China, followed by a Doctor of Science degree, further specializing in Mathematics.

Professional Endeavors

Dr. Wang's professional endeavors reflect a global engagement with various esteemed academic institutions. She has held research positions at prominent universities such as the University of Macau, the University of Hong Kong, and Southeast University in China. Additionally, she has enriched her academic experience through international collaborations, serving as a Visiting PhD Student at Brunel University London, UK, and an Alexander von Humboldt Research Fellow at the University of Duisburg-Essen, Germany.

Contributions and Research Focus

Dr. Wang's research primarily focuses on advanced topics in control theory, with a specialization in two-dimensional systems and sensor networks. Her contributions encompass robust control and filtering techniques, distributed filtering over wireless sensor networks, and state estimation for networked systems with incomplete information. Through her publications in esteemed journals and conferences, she has significantly advanced the understanding and application of these techniques in real-world scenarios.

Accolades and Recognition

Dr. Wang's dedication and contributions to the field have been recognized through various awards and honors. Notably, she received the prestigious Alexander von Humboldt Research Fellowship of Germany in 2020 and has been acknowledged as an Excellent Reviewer of Neurocomputing in 2023. Her outstanding contributions to research have consistently earned her recognition from peers and institutions alike.

Impact and Influence

Dr. Wang's research has made a significant impact on the field of control theory and related disciplines. Her work on recursive filtering, robust state estimation, and protocol-based control has contributed to advancing the state-of-the-art in handling complex systems with limited information and communication constraints. Her findings have practical implications across diverse domains, including engineering, automation, and information technology.

Legacy and Future Contributions

Dr. Wang's legacy lies in her pioneering research and dedication to advancing the frontiers of control theory. Her work serves as a foundation for future researchers in the field, offering insights and methodologies that can address emerging challenges in complex system analysis and control. Her commitment to excellence and interdisciplinary collaboration ensures that her contributions will continue to shape the landscape of control theory and its applications in the years to come.

Notable publications

Finite-Horizon H∞ State Estimation for Complex Networks With Uncertain Couplings and Packet Losses: Handling Amplify-and-Forward Relays 2023

Distributed Fusion Filtering for Nonlinear Time-Varying Systems Over Amplify-and-Forward Relay Networks: An H∞ Quantized Framework 2023 (1)

Robust set-membership filtering for two-dimensional systems with sensor saturation under the Round-Robin protocol 2022 (33)

Gajendra Singh Chawda | Engineering | Best Extension Activity Award

Posted on 15/02/202415/02/2024 by Book of Award

Dr. Gajendra Singh Chawda | Engineering | Best Extension Activity Award

University of Michigan-Dearborn | United States

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Early Academic Pursuits

Gajendra Singh Chawda pursued his educational journey with a Bachelor of Technology in E & E Engineering from RGPV Bhopal, followed by a Master of Technology in Power System from NIT Kurukshetra. He completed his Ph.D. in Electrical Engineering from IIT Jodhpur, specializing in Renewable Energy Penetration and Adaptive Controls.

Professional Endeavors

As a Research Associate, Gajendra led projects in the development of novel high-frequency distribution systems and Electric Vehicle (EV) charging and discharging control using machine learning-based algorithms. He also contributed significantly to the construction of DC Microgrid experimental prototypes.

Contributions and Research Focus

Gajendra's research interests encompass a wide array of topics, including power systems, power electronics applications in distribution systems, renewable energy penetration, and grid-forming inverters. He has extensively studied adaptive control algorithms, big data analysis, and the application of AI/ML in power systems.

Accolades and Recognition

Gajendra received prestigious awards such as the Vishweshwaraya Scholarship Award for his Ph.D. and travel grants from IEEE-PES and CSIR-India for international conferences. He has delivered expert lectures in various academic programs and actively participated in technical events and professional organizations.

Impact and Influence

His groundbreaking projects and innovative solutions in renewable energy systems and microgrid technology have had a significant impact on advancing sustainable energy solutions. His contributions to research and development have been published in reputable journals, including IEEE Transactions and Elsevier.

Legacy and Future Contributions

Gajendra's commitment to pushing the boundaries of research and developing sustainable energy solutions is evident in his ongoing projects and collaborations. He continues to share his knowledge through academic mentoring, expert lectures, and participation in conferences, contributing to the broader academic community's advancement in electrical engineering and renewable energy.

Notable Publication

Power Quality Improvement in Rural Grid Using Adaptive Control Algorithm to Enhance Wind Energy Penetration Levels 2023 (9)

Performance Improvement of Weak Grid-Connected Wind Energy System Using FLSRF-Controlled DSTATCOM 2023 (10)

Fuzzy logic based Vehicle to Grid Controller for Voltage Regulation in Distribution Network with Solar-PV Penetration 2023

Enhancement of Wind Energy Penetration Levels in Rural Grid Using ADALINE-LMS Controlled Distribution Static Compensator 2022 (29)

Mr. Zonghai Chen | Engineering | Best Researcher Award

Posted on 05/02/202405/02/2024 by Book of 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

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