Dr. Chandana Ravikumar | Sensor Awards | Best Researcher Award

Dr. Chandana Ravikumar | Sensor Awards | Best Researcher Award 

Dr. Chandana Ravikumar | Czech Technical University | Czech 

Dr. Chandana Ravikumar is a highly motivated postdoctoral researcher with a proven academic and industrial background in electronics engineering, energy harvesting systems, finite element modeling, and sensor-driven smart technologies. With expertise spanning energy-efficient sensor networks, smart building systems, and advanced semiconductor materials, Dr. Ravikumar integrates computational modeling and experimental research to design sustainable and impactful solutions for real-world applications. Having worked across academia, research centers, and industry, this researcher has established a strong track record of innovation, interdisciplinary collaboration, and successful grant acquisition, now advancing materials science and semiconductor technologies with a prestigious Marie Skłodowska-Curie Actions postdoctoral fellowship appointment in Europe.

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Summary of Suitability for Best Researcher Award

Dr. Chandana Ravikumar is a highly promising researcher whose work spans finite element modeling, smart energy systems, sensor networks, and semiconductor materials. She has demonstrated excellence in applying computational modeling, AI-powered algorithms, and advanced simulation techniques to solve pressing challenges in renewable energy harvesting, sensor-driven IoT applications, and fire detection systems.

Education

Dr. Chandana Ravikumar completed doctoral studies in Electronics Engineering at Kaunas University of Technology, where the primary research focus was on piezoelectric energy harvesting for powering low-consumption devices. This doctoral work resulted in the development of optimized harvester designs capable of achieving performance levels comparable to ceramic-based devices, validated through both computational modeling and prototype fabrication. A Master of Science degree in the same institution provided a strong foundation in the investigation and development of energy harvesting devices for low-power sensors, while a Bachelor of Technology in Electrical and Electronics Engineering from Visvesvaraya Technological University initiated the early journey into renewable energy and embedded smart technologies. This academic progression reflects a consistent commitment to advancing sustainable energy solutions through both theoretical and practical research.

Experience

With postdoctoral research experience at the University Centre for Energy-Efficient Buildings in Prague, Dr. Chandana Ravikumar has contributed to advanced sensor optimization through artificial intelligence, fire detection technologies, and collaborative European projects. Previous roles at Kaunas University of Technology included research on energy harvesters and machine learning models for sensor behavior prediction, combined with teaching and supervising undergraduate students in electronics materials courses. Industrial experience spans engineering positions in Lithuania, where innovative prototypes for IoT energy harvesters were designed, as well as engineering work in India, which involved developing Bluetooth-enabled smart solar streetlights. An apprenticeship at the Indian Institute of Science further enhanced expertise in MEMS-based simulations and piezoelectric sensor modeling, providing a strong link between micro-scale material behavior and large-scale device applications.

Research Interests

Dr. Chandana Ravikumar research interests lie in the intersection of computational modeling, smart energy systems, and advanced sensor technologies. Key areas include piezoelectric energy harvesting for sustainable IoT applications, optimization of energy supply for building-integrated sensor networks, AI-based algorithms for predictive fire detection, and materials characterization techniques relevant to semiconductor devices. A growing focus on thin-film piezoelectric devices and fabrication processes reflects an expanding interest in bridging energy research with semiconductor material science. The overarching goal is to contribute to the development of energy-efficient, autonomous sensor systems that align with the global shift toward sustainable and intelligent infrastructures.

Awards

Dr. Chandana Ravikumar has been honored with multiple recognitions reflecting both academic excellence and innovation. These include awards for outstanding scientific contributions from national research bodies, recognition as the most active doctoral student in the field of electronics engineering, and several innovation prizes from international hackathons and conferences. Achievements also extend to best paper awards at international conferences published in indexed journals, university talent scholarships for academic performance, and innovation awards highlighting the societal relevance of research outcomes. These awards collectively illustrate the researcher’s sustained excellence in scientific advancement, innovation, and impact-driven research.

Publication Top Notes

Development of Ultrasound Piezoelectric Transducer-Based Measurement of the Piezoelectric Coefficient and Comparison with Existing Methods

Reliability Analysis of Coating Material on Polyvinylidene Fluoride Layers Used in Piezoelectric Vibration Energy Harvesting Device

IoT Applications Powered by Piezoelectric Vibration Energy Harvesting Device

Comparison of Performance of PVDF-based Piezoelectric Energy Harvester with Commercial Piezo Sensor

Quantitative Analysis of Parameters Dependence of PVDF Films Polarization

Research of pvdf energy harvester cantilever parameters for experimental model realization

Conclusion

Dr. Chandana Ravikumar exemplifies the qualities of an innovative and impactful researcher, blending strong analytical expertise with practical device development and collaborative international research experience. With a foundation in electronics engineering and a clear focus on sustainable sensor technologies, Dr. Ravikumar has consistently advanced the state of knowledge in energy harvesting, smart systems, and materials engineering. Recognized with awards for innovation and scientific excellence, supported by impactful publications, and soon advancing through a Marie Skłodowska-Curie postdoctoral fellowship, this researcher is exceptionally well-positioned to contribute groundbreaking work at the interface of energy, materials, and intelligent systems.

 

Mr. Xueye Chen | Flexible Sensing Awards | Best Researcher Award

Mr. Xueye Chen | Flexible Sensing Awards | Best Researcher Award 

Mr. Xueye Chen, ludong university, China

Chen Guorong is a Ph.D. professor and Master’s supervisor, currently serving as the Associate Dean of the School of Computer Science and Engineering (School of Artificial Intelligence) at Chongqing University of Science and Technology. Recognized as a Chongqing Leading Talent in Technological Innovation and a Chongqing Academic and Technical Leader, he has made significant contributions to the fields of artificial intelligence and safety production informatization. He has held esteemed academic roles, including Vice Chair of the IEEE Geoscience and Remote Sensing Society (GRSS) Chongqing Chapter and General Chair of the IEEE International Conference on Industrial Cyber-Physical Systems and Intelligent Manufacturing (IICSPI) 2025. With a research portfolio encompassing over 20 provincial and ministerial-level projects, 40+ SCI-indexed publications, and 10 authorized patents, he has been honored with nine provincial/ministerial scientific awards. As a visiting scholar at the University of Ottawa, Canada, Chen has fostered international academic collaboration. His pioneering work in smart emergency response and safety production has driven industry-academia partnerships, influencing technological innovation and contributing significantly to global research and societal advancements.

Professional Profile:

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Summary of Suitability for Best Researcher Award 

Dr. Chen Guorong is a highly accomplished researcher with a strong background in Artificial Intelligence and Safety Production Informatization. His extensive leadership roles, research achievements, and contributions to technological innovation make him an outstanding candidate for the Best Researcher Award.

🎓 Education & Work Experience

  • Ph.D., Professor, and Master’s Supervisor at Chongqing University of Science and Technology.

  • Associate Dean of the School of Computer Science and Engineering (School of Artificial Intelligence).

  • Visiting Scholar at the University of Ottawa, Canada.

🏆 Awards & Honors

  • Chongqing Leading Talent in Technological Innovation.

  • Recognized as a Chongqing Academic and Technical Leader.

🔬 Research & Achievements

  • Research Interests: Artificial Intelligence & Safety Production Informatization.

  • Led 20+ provincial/ministerial-level research projects.

  • Published 40+ SCI-indexed papers.

  • Holds 10 authorized patents.

  • Recipient of 9 provincial/ministerial-level scientific awards.

  • Pioneered industry-academia collaboration in smart emergency response and safety production, contributing to global innovation.

🌍 Academic & Professional Engagements

  • Vice Chair of IEEE GRSS Chongqing Chapter.

  • Head of Technology & Informatization Group, Chongqing Emergency Management Expert Committee.

  • Vice Chairman of Chongqing Petroleum and Gas Society.

  • General Chair of IEEE IICSPI 2025.

Publication Top Notes:

Fabrication and energy collection of PDMS/dimethylsilicone oil superhydrophobic high tensile film

Porous Carbon Nanoparticle Composite Paper Fiber with Laser-Induced Graphene Surface Microstructure for Pressure Sensing

A pressure sensor made of laser-induced graphene@carbon ink in a waste sponge substrate using novel and simple fabricaing process for health monitoring

Numerical simulation and performance study of three-dimensional variable angle baffle micromixer

A novel dual-mode paper fiber sensor based on laser-induced graphene and porous salt-ion for monitoring humidity and pressure of human

Machine learning and genetic algorithm as tools for single and multi-objective shape optimization of micromixers with Cantor fractal structure

A novel micromixer based on coastal fractal for manufacturing controllable size liposome