Dr. Chandana Ravikumar | Sensor Awards | Best Researcher Award

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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.

Professional Profile

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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

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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

Dr. Pi Jie | Chemical Sensors Awards | Best Researcher Award

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Dr. Pi Jie | Chemical Sensors Awards | Best Researcher Award 

Dr. Pi Jie, Jiangsu Academy of Agricultural Sciences, China

Pijie obtained a Master’s degree from Nanjing University of Science and Technology in 2016. Currently, Pijie serves as an Assistant Researcher at the Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences. Pijie’s research interests encompass the application of innovative agricultural material structures, chemical and gas sensors, sensor applications, and advancements in digital agriculture.

Professional Profile:

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Research for Best Researcher Award: Suitability Summary for Pijie

Pijie, an assistant researcher at the Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, is highly suitable for the Best Researcher Award due to his notable academic background and impactful contributions to agricultural research. He obtained his master’s degree from Nanjing University of Science and Technology in 2016, demonstrating a solid foundation in agricultural sciences.

Education 🎓

  • Master’s Degree
    Nanjing University of Science and Technology, China
    Graduated: 2016

Work Experience 💼

  • Assistant Researcher
    Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences
    Current Position: Present

Research Interests 🔍

  • Application of agricultural new material structures
  • Chemical and gas sensors
  • Applications of sensors
  • Digital agriculture

Achievements 🏆

  • Contributed to several research projects focusing on innovative agricultural materials and sensor technology.
  • Published research articles in reputable journals related to agricultural technology and sensor applications.

Awards and Honors 🥇

  • Recognized for outstanding research contributions in the field of digital agriculture and sensor technology.

Publication Top Notes:

A Review on Soil Nitrogen Sensing Technologies: Challenges, Progress and Perspectives

An Octopus-Inspired Bionic Flexible Gripper for Apple Grasping

Assoc. Prof. Dr karim choubani | Sensing Units Awards | Best Researcher Award

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Assoc. Prof. Dr karim choubani | Sensing Units Awards | Best Researcher Award 

Assoc. Prof. Dr karim choubani, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia

Dr. Karim Choubani is an Assistant Professor in Mechanical Engineering with extensive experience in teaching, research, and professional training. He earned his Doctorate from the University of Tunis Manar, Tunisia, and the Institute of Fluid Mechanics of Toulouse, France, in 2009. Dr. Choubani also holds a Master’s degree in Industrial Thermal Systems from the University Institute of Industrial Thermal Systems in Marseille, France, and a Mechanical Engineering degree from the Engineering School of Tunisia, with additional studies in Italy.

Professional Profile:

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Summary of Suitability for Best Researcher Award: Karim Choubani

Research Experience and Expertise: Karim Choubani holds a Doctorate from the Engineering School of Tunisia, with extensive experience in fluid mechanics, heat transfer, desalination, and renewable energy applications, including solar pond technology and membrane desalination. His research integrates experimental, theoretical, and numerical approaches, with a notable focus on practical applications in energy and environmental sustainability. This background highlights his expertise in addressing complex engineering challenges, making him a strong candidate for research-focused awards.

Education

  • Doctorate in Engineering
    • Institutions: Engineering School of Tunisia, University of Tunis Manar, Tunisia; Institute of Fluid Mechanic of Toulouse (IMFT), Toulouse, France
    • Year of Completion: 2009
  • Master’s Degree in Engineering
    • Institutions: Engineering School of Tunisia, University of Tunis Manar, Tunisia; University Institute of the Industrial Thermal Systems (IUSTI), Marseille, France
    • Year of Completion: 2002
  • Mechanical Engineering Degree
    • Institutions: Engineering School of Tunisia, University of Tunis Manar, Tunisia; University of Mechanic-Energetic of Ancona and Sapienza University of Rome, Italy
    • Year of Completion: 2001

Professional Experience

  • Assistant Professor
    • Institution: Al Imam Mohammad Ibn Saud Islamic University, Department of Mechanical Engineering, Kingdom of Saudi Arabia
    • Dates: September 5, 2022 – Present
    • Responsibilities:
      • Teaching Dynamics and Vibration courses
      • Supervising undergraduate students
  • Assistant Professor
    • Institution: High Institute of Applied Sciences and Technology of Mahdia (ISSAT), Tunisia
    • Dates: September 15, 2019 – June 30, 2022
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Vibration, Automatic Control, Thermodynamics, and Fluid Mechanics
      • Supervising undergraduate students
  • Professional Trainer
    • Institution: Department of Mechanical Technology (Refrigeration and Cooling), Riyadh College of Technology, Riyadh, Saudi Arabia
    • Dates: August 20, 2013 – August 20, 2019
  • Assistant Professor
    • Institution: High Institute of Applied Sciences and Technology of Mahdia (ISSAT), Tunisia
    • Dates: September 15, 2010 – June 30, 2013
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Thermodynamics, Fluid Mechanics, Vibration, and Automatic Control
      • Supervising undergraduate students
  • Assistant Professor
    • Institution: High Institute of Industrial Systems of Gabes, Tunisia
    • Dates: September 15, 2009 – June 30, 2010
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Thermal Sciences, and Fluid Mechanics
      • Research on Desalination, Solar Pond, and Convective Heat and Mass Transfer
  • Assistant Professor
    • Institution: High Institute of Industrial Systems of Gabes, Tunisia
    • Dates: September 15, 2006 – June 30, 2009
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Fluid Mechanics, Thermodynamics, Heat Transfer, and Refrigeration Systems
      • Developed course materials and laboratory experiments
      • Participated in establishing a new Professional Master’s degree
  • Technological Trainer
    • Institution: High Institute of Technological Studies of Radès (ISET), Tunisia
    • Dates: February 15, 2003 – June 30, 2006
    • Responsibilities:
      • Teaching courses in Statics and Dynamics, Fluid Mechanics, Thermodynamics, and Heat Transfer
      • Conducted laboratory experiments

Research Experience

  • Researcher
    • Institution: Energetic-Mechanic Unit, National Engineering School of Tunisia (URME_ENIT); Research Unit in Mechanical Modeling, Energy & Materials (M2&EM), National School of Engineers of Gabes, Tunisia
    • Dates: February 1, 2001 – February 1, 2017
    • Responsibilities:
      • Conducted research in heat and mass transfer, solar ponds, desalination, and fluid stratified systems
      • Supervised graduate students and organized research projects

Publication top Notes:

Experimental investigation of the effect of angled fins on the energy and exergy efficiencies of solar stills: A comparison between double slope and pyramid solar stills under Tunisia weather conditions

Effect of an Adiabatic Obstacle on the Symmetry of the Temperature, Flow, and Electric Charge Fields during Electrohydrodynamic Natural Convection

Porous silicon layer decorated with PbS nanoparticles by SILAR method for enhanced photocatalytic degradation of amido black dye

Experimental Investigation of a Phase-Change Material’s Stabilizing Role in a Pilot of Smart Salt-Gradient Solar Ponds

Numerical simulations for thermally developed double diffusion flow of nanoparticles due to elongated cylinder with multiple slip effects: Applications to energy storage system

Thermal analysis of AA7075-AA7072/methanol via Williamson hybrid nanofluid model past thin needle: Effects of Lorentz force and irregular heat rise/fall

Dr. QingYang Ding | Smart Sensors Awards | Best Researcher Award

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Dr. QingYang Ding | Smart Sensors Awards | Best Researcher Award 

Dr. QingYang Ding, Beijing Union University, China

Ding Qingyang is a lecturer and Master’s Advisor with a distinguished career as a senior machine learning engineer. He earned his Ph.D. from the Central University of Finance and Economics in Beijing, China. An active member of the China Computer Association, the Higher Education Association, and the Blockchain Committee of the China Mobile Communication Association, Ding’s research interests span the smart Internet of Things, blockchain technology and its applications, as well as data mining and analysis. He has successfully led a general science and technology project funded by the Beijing Municipal Education Commission and contributed to several provincial and ministerial projects, including national key research and development initiatives and funding from the National Social Science Fund, Beijing Social Science Fund, and Beijing Natural Science Fund. With over 20 academic publications, one monograph, and applications for three national invention patents and two software copyrights, Ding Qingyang has made significant contributions to his fields of expertise.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. Qingyang Ding is a lecturer and Master’s advisor with a strong academic background and professional experience in machine learning, blockchain, and the Internet of Things (IoT). He earned his Ph.D. from the Central University of Finance and Economics, Beijing, and is actively involved in various professional organizations such as the China Computer Federation and Blockchain Committee of China Mobile Communication Association.

Education:

  • Ph.D. in [specific discipline not mentioned] from the Central University of Finance and Economics, Beijing, China.

Work Experience:

  • Lecturer and Master’s Advisor with a focus on technology and engineering.
  • Senior Machine Learning Engineer with extensive industry and academic experience in AI and data technologies.
  • Professional Member of:
    • China Computer Association
    • Higher Education Association
    • Blockchain Committee of China Mobile Communication Association

Publication top Notes:

A Resource Allocation Algorithm for Cloud-Network Collaborative Satellite Networks with Differentiated QoS Requirements

Impact of Perceived Value and Community Attachment on Smart Renovation Participation Willingness for Sustainable Development of Old Urban Communities in China

Blockchain Empowered Reliable Federated Learning by Worker Selection: A Trustworthy Reputation Evaluation Method

OBBC: A Blockchain-Based Data Sharing Scheme for Open Banking

Permissioned Blockchain-Based Double-Layer Framework for Product Traceability System

Sensors for high energy physics applications

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Introduction of Sensors for high energy physics applications

Sensors for high energy physics applications are at the forefront of scientific discovery, enabling the detection and measurement of subatomic particles and phenomena in particle accelerators and detectors.

Particle Detectors:

Investigating the development of particle Detectors including silicon strip detectors calorimeters and time-of-flight detectors used to identify and track particles produced in high-energy collisions.

Radiation-Hard Sensors:

Focusing on sensors and materials that can withstand the intense radiation Environments found in particle Physics experiments ensuring long-term reliability and accuracy.

Fast Timing Detectors:

Addressing the need for sensors with high temporal Resolution for time-of-flight Measurements particle identification, and the study of short-lived particles.

Gas and Liquid Detectors:

Analyzing gas and liquid detectors. such as drift chambers and time projection Chambers, used for precise particle tracking and momentum measurement.

Trigger and Data Acquisition Systems:

Investigating sensor technologies integrated into Trigger and data Acquisition systems to efficiently select and record relevant collision events in real-time from the vast data generated in high-energy physics experiments.