Prof. Dr. Beatriz Defez | Sensors | Research Excellence Award

Prof. Dr. Beatriz Defez | Sensors | Research Excellence Award

Professor | Valencia Polytechnic University | Spain

Beatriz Defez García is an accomplished scholar whose work bridges engineering graphics, materials science, acoustic behavior, assistive technologies, and advanced computational modeling. Her research notably spans finite-element analysis of ceramic materials, acoustic characterization of engineered structures, fluid–solid interactions, and the development of innovative navigation systems to support individuals with visual impairments. She has made influential contributions to the fields of human–machine interaction, sensory guidance technologies, telemedicine, and computer-assisted image segmentation, particularly in dermatological applications. Her scholarship encompasses collaborative, interdisciplinary projects addressing societal and industrial needs through engineering innovation. With a strong record of productivity, she has authored 30 Scopus-indexed documents and accumulated 188 citations in Scopus, reflecting an h-index of 7, while her Google Scholar profile reports 486 citations, an h-index of 11, and an i10-index of 11, demonstrating the sustained visibility and relevance of her research. Her most widely cited studies include pioneering prototypes for real-time assistive navigation, analytical and experimental investigations of bubble and drop oscillations, and advanced techniques for usability evaluation in digital learning environments. Across her publications, Defez García integrates computational methods, experimental validation, and user-centered design principles to advance engineering solutions that improve material performance, enhance accessibility, and support health-related digital transformation. Her recent work also highlights growing contributions in telemedicine, sustainable digitalization, and biomedical image processing, reinforcing her role as a multidisciplinary researcher shaping both technological innovation and applied scientific practice.

Publication Profile

Scopus | ORCID | Google Scholar

Featured Publications

Dunai, L., Fajarnes, G. P., Praderas, V. S., Defez Garcia, B., & Lengua, I. (2010). Real-time assistance prototype—A new navigation aid for blind people. IECON Annual Conference on IEEE Industrial Electronics Society, 1–6.

Milne, A. J. B., Defez, B., Cabrerizo-Vílchez, M., & Amirfazli, A. (2014). Understanding (sessile/constrained) bubble and drop oscillations. Advances in Colloid and Interface Science, 203, 22–36.

Dunai, L., Peris-Fajarnés, G., Lluna, E., & Defez, B. (2013). Sensory navigation device for blind people. The Journal of Navigation, 66(3), 349–362.

Fraile-Garcia, E., Ferreiro-Cabello, J., Defez, B., & Peris-Fajanes, G. (2016). Acoustic behavior of hollow blocks and bricks made of concrete doped with waste-tire rubber. Materials, 9(12), 962.

Maria, M. S., Silvia, A. N., Beatriz, D. G., Andrew, D., & Guillermo, P. F. (2022). Health care in rural areas: Proposal of a new telemedicine program assisted from the reference health centers, for sustainable digitization and its contribution to carbon reduction. Heliyon, 8(7).

Mr. Shen Tingli | Mimo Radar | Best Researcher Award

Mr. Shen Tingli | Mimo Radar | Best Researcher Award

Mr. Shen Tingli | Naval University of Engineering | China

Academic Background

Shen Tingli completed his undergraduate studies in Navigation Engineering at Naval Aviation University, where he built a strong foundation in aerospace and maritime navigation technologies. He pursued advanced studies in Electronic Information at Naval University of Engineering, focusing on cognitive waveform design for MIMO radar systems. His academic work has been widely cited and is accessible through multiple platforms including Scopus, reflecting a growing recognition in radar signal processing research. His publications and conference documents demonstrate both theoretical innovation and practical applications in multi-target detection, and his h-index underscores the influence of his research contributions.

Research Focus

Shen Tingli’s research centers on cognitive waveform design for MIMO radar systems, with an emphasis on adaptive and intelligent signal optimization. He investigates techniques that improve radar detection performance, enhance multi-target resolution, and reduce interference in complex environments. His work integrates machine learning strategies with classical signal processing, advancing both theoretical frameworks and practical radar applications.

Work Experience

Shen Tingli has applied his expertise in electronic information and radar systems across academic and applied research roles. He has contributed to projects involving waveform design optimization and cognitive radar development, collaborating with interdisciplinary teams to enhance detection capabilities. His experience spans algorithm development, simulation studies, and performance evaluation in advanced radar systems, bridging the gap between theoretical research and engineering implementation.

Key Contributions

Shen Tingli is recognized for developing novel approaches to cognitive MIMO radar waveform design. He has contributed algorithms that improve adaptive detection accuracy and efficiency, particularly in multi-target scenarios. His work has facilitated the integration of gradient-based optimization with genetic algorithms, enabling more effective signal design under varying operational constraints. These contributions provide a foundation for future advancements in intelligent radar systems and defense applications.

Awards & Recognition

Shen Tingli has received commendations for his research excellence and innovation in radar signal processing. His contributions to adaptive waveform design have been acknowledged in peer-reviewed journals and by professional research communities, highlighting the impact and originality of his work.

Professional Roles & Memberships

He actively participates in scientific and engineering communities, contributing to the development of radar and electronic information research. His professional roles include collaborative research projects, peer review activities, and membership in relevant technical societies, promoting knowledge exchange and innovation within the field.

Publication Profile

Scopus | ORCID

Featured Publications

Shen, T., Lu, J., Zhang, Y., Wu, P., & Li, K. Waveform Design of a Cognitive MIMO Radar via an Improved Adaptive Gradient Descent Genetic Algorithm. Applied Sciences.

Impact Statement / Vision

Shen Tingli aims to advance the field of cognitive radar by developing intelligent waveform design methods that enhance detection and operational efficiency. His vision is to contribute to next-generation radar technologies that integrate adaptive learning, robust performance, and multi-target precision, driving innovation in both defense systems and civilian radar applications.

Pushpendra Singh| Electrical Engineering | Excellence in Research

Dr. Pushpendra Singh| Electrical Engineering | Excellence in Research

Program Director and Professor -Energy Sciences, Atria University Bengaluru, India

Dr. Pushpendra Singh is a distinguished academician and researcher in Electrical Engineering, currently serving as Program Director and Professor of Energy Sciences at Atria University, Bengaluru. With over 19 years of experience, his expertise spans AI & ML applications, Smart Grid technologies, IoT applications in Electrical systems, Game theory, Power system restructuring, and integration of Distributed Energy Resources and Electric Vehicles.

Profile

Scopus

 

🎓 Education:

Dr. Pushpendra Singh holds a Ph.D. in Electrical Engineering from MNIT Jaipur, an M.Tech. in Power Systems also from MNIT Jaipur, and completed a Post Graduate Program in Artificial Intelligence and Machine Learning from NIT Warangal.

💼 Experience:

His professional journey includes leadership roles such as Professor of Electrical Engineering at JK Lakshmipat University, Jaipur, Principal at Sunrise Group of Institutions, Udaipur, and various academic positions at Jaipur Engineering College & Research Centre, Jaipur.

🔍 Research Interests:

His research interests focus on AI & ML applications in electrical systems, Smart Grid technologies, IoT applications, Game theory in energy systems, Power system restructuring, and integration of Electric Vehicles.

🏆 Awards:

Dr. Pushpendra Singh has been recognized with awards such as IEEE PES HAC 2023 Ambassador, Excellence in Innovation by ITSR and Institution of Engineers (India), and multiple honors for his contributions to education and engineering services.

 publications 

Revolutionizing EV Charging stations through IoT

Published Year: 2024

Journal: To be presented at The International Conference (IEEE) on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC 2024)

Cited by: Accepted for presentation

Green Credit Incentivization for EV Charging: A Game-Theoretic Approach

Published Year: 2023

Journal: Presented at The 6th International Symposium on Hydrogen Energy and Energy Technologies (HEET 2023)Cited by: Best Paper Award, published in Journal of Physics: Conference Series

Electric Vehicle Adoption and Integration in Smart Cities: A Game-Theoretic Approach

Published Year: 2023Journal: Presented at The 6th International Symposium on Hydrogen Energy and Energy Technologies (HEET 2023)Cited by: Best Paper Award, published in Journal of Physics: Conference Series