Assoc. Prof. Dr. Yao-Chuan Tsai | Sensor | Best Researcher Award

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Assoc. Prof. Dr. Yao-Chuan Tsai | Sensor | Best Researcher Award

Assoc. Prof. Dr. Yao-Chuan Tsai | National Chung Hsing University | Taiwan

Assoc. Prof. Dr. Yao-Chuan Tsai is a distinguished scholar and innovative researcher whose work integrates mechanical engineering, microfabrication, and smart agricultural technologies. His academic journey and professional experiences have spanned Taiwan and Japan, and his expertise covers micro-electro-mechanical systems (MEMS), micromanufacturing, automation, and artificial intelligence applications in agriculture. Currently serving as the Department Chair of Bio-Industrial Mechatronic Engineering at National Chung Hsing University, he has been instrumental in advancing interdisciplinary approaches to smart farming and bio-industrial automation. Assoc. Prof. Dr. Yao-Chuan Tsai has also directed major research centers, guided industry collaborations, and received international recognition for his inventive contributions in agricultural engineering, demonstrating a career that bridges cutting-edge technology with real-world sustainability solutions.

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Summary of Suitability 

Assoc. Prof. Dr. Yao-Chuan Tsai is a distinguished researcher and academic leader in bio-industrial mechatronic engineering, micro-electromechanical systems (MEMS), micromanufacturing, automation, artificial intelligence applications, and smart agriculture. With advanced degrees in Mechanical Engineering from National Taiwan University and a strong international research background in Japan, he has established himself as a pioneer at the intersection of engineering innovation and agricultural technology.

Education

Assoc. Prof. Dr. Yao-Chuan Tsai earned his Bachelor of Science degree in Mechanical Engineering from National Chiao-Tung University, where he built the foundational knowledge of mechanics, materials, and automation. He continued his graduate studies at National Taiwan University, completing both his Master of Science and Doctor of Philosophy degrees in Mechanical Engineering. His doctoral research involved MEMS and micromanufacturing, laying the groundwork for future exploration of automation and artificial intelligence applications in agriculture. His strong academic training across Taiwan’s leading universities prepared him with a balance of technical rigor, innovative thinking, and interdisciplinary vision that underpins his current contributions.

Experience

Assoc. Prof. Dr. Yao-Chuan Tsai professional career reflects a balance between academic leadership and international research collaborations. He began as a researcher at the Micro System Integration Center (μSIC) and later at the Advanced Institute for Materials Research (WPI-AIMR) at Tohoku University in Japan, where he contributed to micromanufacturing and MEMS integration projects. He also gained industry experience as a researcher with MEMS-CORE Corporation in Japan, applying micro-automation technologies in practical contexts. Returning to Taiwan, he joined the Department of Bio-Industrial Mechatronic Engineering at National Chung Hsing University as Assistant Professor and steadily advanced to Associate Professor and Department Chair. He also served as Director of the Agricultural Automation Center, where he established collaborative projects linking artificial intelligence, robotics, and farming technology. His leadership roles underscore his ability to bridge academia, research, and industry with measurable impact.

Research Interests

Assoc. Prof. Dr. Yao-Chuan Tsai research interests encompass micro-electro-mechanical systems, micromanufacturing, automation technologies, and their integration into agricultural applications. He is particularly dedicated to advancing smart agriculture, focusing on precision farming systems that incorporate MEMS sensors, machine learning algorithms, and AI-driven automation to optimize productivity while maintaining sustainability. His work also explores automation in livestock farming, including animal monitoring, weight detection, and behavior recognition, as well as AI-based bird detection and repelling systems. By combining MEMS design with AI modeling, his research provides innovative solutions to challenges in agriculture, demonstrating how cutting-edge technology can transform traditional industries.

Awards

Assoc. Prof. Dr. Yao-Chuan Tsai has received multiple awards and honors that highlight his excellence in both teaching and research. He has twice been honored with the National Chung Hsing University Industry-Academic Outstanding Teacher Award, recognizing his contributions to technology transfer and academic-industry collaboration. He was also the recipient of the School Outstanding Instructor Award, demonstrating his commitment to education and mentorship. His patents on agricultural automation systems, including an automatic animal weight measurement method and a bird detection and repelling system, won Silver Medals at the Taiwan Innovation and Technology Expo Invention Competitions. Furthermore, he earned an Outstanding Award in AI and Agriculture, Forestry, Fisheries, and Animal Husbandry at a major AI competition, underscoring the interdisciplinary impact of his work. These accolades reflect not only his technical contributions but also his role in shaping the future of agricultural innovation.

Publication Top Notes

  • On‐chip micro‐pseudocapacitors for ultrahigh energy and power delivery
    Year: 2015
    Citation: 80

  • Identifying images of dead chickens with a chicken removal system integrated with a deep learning algorithm
    Year: 2021
    Citation: 79

  • Non-contact magnetic cantilever-type piezoelectric energy harvester for rotational mechanism
    Year: 2018
    Citation: 61

  • Design and fabrication of a phononic-crystal-based Love wave resonator in GHz range
    Year: 2014
    Citation: 47

  • Laser-induced graphene stretchable strain sensor with vertical and parallel patterns
    Year: 2022
    Citation: 45

  • Low-concentration ammonia gas sensors manufactured using the CMOS–MEMS technique
    Year: 2020
    Citation: 43

  • Metallic glass as a mechanical material for microscanners
    Year: 2015
    Citation: 38

  • Evidence of a Love wave bandgap in a quartz substrate coated with a phononic thin layer
    Year: 2014
    Citation: 31

Conclusion

Assoc. Prof. Dr. Yao-Chuan Tsai has established himself as a leading researcher at the intersection of mechanical engineering, MEMS, and agricultural automation. His educational background, extensive research experiences across Taiwan and Japan, and leadership roles in academia underscore his multidisciplinary expertise. His research interests in micromanufacturing, automation, smart agriculture, and AI applications have led to impactful innovations, including patented technologies and award-winning inventions. With a proven record of publications, invited talks, and recognitions, Assoc. Prof. Dr. Yao-Chuan Tsai contributions extend beyond academic theory into practical solutions that enhance agricultural productivity and sustainability. His achievements make him a highly deserving candidate for recognition in award nominations, reflecting not only his academic excellence but also his broader impact on industry and society through technological innovation.

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.

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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.

 

Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

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Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

Assoc. Prof. Dr. Dinh Khoi Phan, Can Tho University, Vietnam

Dr. Dinh Khoi Phan is an Associate Professor and Dean of the Faculty of Finance and Banking at Can Tho University, Viet Nam, where he has been actively contributing to academia since 2003. He holds a Ph.D. in Finance from Lincoln University, New Zealand (2013), a Master of Management from the University of the Philippines (2003), and a B.Sc. in Finance from Can Tho University (1999). His research spans rural finance, economic development, development finance, banking, behavioral finance, and cryptocurrency. Dr. Phan has led and participated in numerous government-funded research projects focused on agricultural policy, SME support, risk management in rice crop insurance, and smart city development in the Mekong River Delta. He is also the author and co-author of several books and book chapters addressing financial systems and socio-economic development in Vietnam. Through his leadership, academic work, and practical contributions, Dr. Phan has become a prominent figure in Vietnam’s financial research and policy landscape.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Dinh Khoi Phan

Dr. Dinh Khoi Phan is an accomplished scholar and academic leader whose research spans finance, rural development, and economic transformation in the Mekong River Delta. With a Ph.D. in Finance from Lincoln University, New Zealand, and over two decades of academic and policy-driven research experience, he exemplifies the qualities sought in a Best Researcher Award recipient.

🎓 Education

  • 📘 Ph.D. in Finance – Lincoln University, Canterbury, New Zealand (April 2013)

  • 📗 Master of Management – University of the Philippines, Los Baños (June 2003)

  • 📕 B.Sc. in Finance – Can Tho University, Viet Nam (September 1999)

👨‍🏫 Work Experience

  • 🧑‍🏫 Associate Professor & Dean, Faculty of Finance and Banking, Can Tho University (2020–present)

  • 📚 Lecturer, Department of Finance and Banking, Can Tho University (2012–present)

  • 📖 Lecturer, Department of Economics, Can Tho University (2005–2012)

  • 📖 Lecturer, Agricultural Economics, Can Tho University (2003–2005)

  • 🔬 Research Assistant & 👨‍🏫 Teaching Assistant, Commerce Division, Lincoln University (2011)

🏆 Achievements & Recognitions

  • 📖 Published Author of multiple Vietnamese books on finance and economics

  • 📘 Led and contributed to 9 major research projects focused on rural development, insurance, SMEs, and smart city planning in the Mekong Delta

  • 💼 Policy Influence through development strategies funded by national and provincial governments

  • 🌱 Specialized in microfinance, economic development, and agricultural risk management in Southeast Asia

Publication Top Notes:

Dirichlet Mixed Process Integrated Bayesian Estimation for Individual Securities

Predictors of Return on Assets and Return on Equity for Banking and Insurance Companies on Vietnam Stock Exchange

Asymmetries in responses of commercial banks in a transitional economy to countercyclical monetary policy: The case of Romania

The Transmission Mechanism of Russian Central Banks Countercyclical Monetary Policy since 2011: Evidence from the Interest Rate Pass-Through

The impact of microcredit on rural households in the Mekong River Delta of Vietnam

Formal and informal rural credit in the Mekong River Delta of Vietnam: Interaction and accessibility

 

Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

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Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

Ms. Xinlu Bai, Changchun university, China

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, following an Engineering Degree from Zhengzhou University of Finance and Economics (2018-2022). Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His research includes the development of the GR-YOLO algorithm, which improves detection performance over existing methods like YOLOv8, with notable advancements in accuracy across various datasets. Xinlu’s work has been published in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. He has been recognized for his excellence in competitions, winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Xinlu Bai

Summary:

Xinlu Bai is a highly qualified candidate for the Best Researcher Award, distinguished by his innovative research and significant contributions to the field of computer science, particularly in pedestrian detection technology. Bai’s work demonstrates a clear commitment to advancing technology through rigorous research and practical applications.

🎓Education:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, which he has been enrolled in since 2023. He previously completed his Engineering Degree at Zhengzhou University of Finance and Economics, where he studied from 2018 to 2022. Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His development of the GR-YOLO algorithm, which enhances detection performance compared to YOLOv8, has been recognized through publications in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. His excellence has been acknowledged in various competitions, including winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

🏆Awards:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, having previously completed his Engineering Degree at Zhengzhou University of Finance and Economics. His contributions to computer vision, particularly through the development of the GR-YOLO algorithm, have been published in Sensors and guided by Professors Deyou Chen and Nianfeng Li. Xinlu’s excellence in the field has been recognized with several prestigious awards: he won the First Prize in the Jilin Province Virtual Reality Competition, the Second Prize in the China Virtual Reality Competition (Data Visualization Track), and the Third Prize in the Jilin Province Ruikang Robot Competition.

Publication Top Notes:

Title: Dense Pedestrian Detection Based on GR-YOLO

 

 

 

Dr. Srinivas Balivada | Hidden Sensors Award | Best Researcher Award

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Dr. Srinivas Balivada | Hidden Sensors Award | Best Researcher Award

Dr. Srinivas Balivada, University of Chicago Trust, India

Dr. Srinivasa Balivada is a consultant with the University of Chicago Trust in Delhi, India, and a guest scientist at the University of Chicago. He holds a Ph.D. in Chemistry from Andhra University, where his research focused on trace elements in diabetes mellitus and hypertension. Dr. Balivada’s expertise lies in developing innovative cyber-physical systems for real-time monitoring of soil and water quality, leveraging AI to promote sustainable environmental management.

Professional Profile:

Summary of Suitability for Best Researcher Award: Srinivasa Balivada, Ph.D.

Research Contributions: Srinivasa Balivada has made significant advancements in the field of cyber-physical systems and environmental monitoring. His research has been pivotal in developing innovative technologies for real-time soil and water quality monitoring, leveraging machine learning and advanced sensor networks. Some notable contributions include:

Education

  • Ph.D. in Chemistry, October 2018
    Andhra University, India
  • M.Sc. in Bio-Inorganic Chemistry, May 2007
    Andhra University, India
  • B.Sc. in Chemistry, Botany, and Zoology, May 2005
    Andhra University, India

Work Experience

  • Guest Scientist & Consultant, May 2024 – Present
    University of Chicago & University of Chicago Trust, Delhi, India
    Focus: Designing a web-based platform integrating water quality data with contextual information to identify pollution sources and enhance monitoring.
  • Staff Scientist & Resident Associate, May 2023 – May 2024
    University of Chicago & Material Science Division, Argonne National Laboratory
    Focus: Developed a novel machine learning algorithm for spatially mapping soil moisture using topographic parameters.
  • Postdoctoral Scholar & Resident Associate, May 2019 – May 2023
    University of Chicago & Material Science Division, Argonne National Laboratory
    Advisor: Prof. Supratik Guha; Co-advisor: Dr. Roser Matamala
    Focus: Developed low-power, wireless underground sensor networks for soil property collection; created a deep learning algorithm for soil moisture estimation.
  • Senior Research Lead, May 2017 – April 2019
    University of Chicago Centre, Delhi, India
    Focus: Developed a cyber-physical sensing system for high-resolution surface water quality mapping; created a soft measurement technique for water quality assessment.
  • Research Scholar, 2010 – 2017
    School of Chemistry, Andhra University, India
    Advisor: Prof. M S Prasada Rao
    Focus: Developed a method for simultaneous trace element determination in blood samples; investigated trace element associations with diabetes and hypertension.
  • Research Fellow, 2010 – 2017
    Centre for Studies on Bay of Bengal, Andhra University, India
    Focus: Developed algorithms for quantifying chlorophyll, chromophoric organic matter, and suspended solids in coastal waters; monitored algal blooms using satellite remote sensing.
  • Teaching Assistant, 2011 – 2017
    Department of Inorganic and Analytical Chemistry, Andhra University, India
    Taught and graded laboratory sessions for Bio-Inorganic Chemistry and Environmental Chemistry.
  • Chemist in Quality Control Department, 2007 – 2009
    Auctus Pharma Ltd., India
    Responsibilities: Conducted routine and non-routine analyses of raw materials and finished products, compiled data, and calibrated analytical instruments including HPLC, GC, IR, and UV-Vis spectrometers.

Publication top Notes:

 

Distribution of trace metals in surface seawater and zooplankton of the Bay of Bengal, off Rushikulya estuary, East Coast of India

CITED:76

A Wireless Underground Sensor Network Field Pilot for Agriculture and Ecology: Soil Moisture Mapping Using Signal Attenuation

CITED:14

Contrasting bio-optical characteristics of coastal water prior to and in the aftermath of a tropical super cyclone

CITED:8

Particle backscattering variability in the coastal waters of Bay of Bengal: a case study along off Kakinada and Yanam regions

CITED:8

Retrieval and validation of chlorophyll-a concentrations in the coastal waters Off Yanam and Kakinada (Godavari) basin along East coast of India

CITED:7

 

Dr. Hebat-Allah S. Tohamy | Chemical sensors | Best Researcher Award

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Dr. Hebat-Allah S. Tohamy | Chemical sensors | Best Researcher Award 

Dr. Hebat-Allah S. Tohamy, National Research Centre, Egypt

Dr. Hebat-Allah Sarhan Abd-Allah Tohamy, born on November 17, 1989, in Egypt, is an accomplished chemist with a strong academic and professional background. She earned her B.Sc. in Chemistry and Biochemistry with honors in 2011 and her M.Sc. in Organic Chemistry in 2017 from Helwan University. She completed her Ph.D. in Organic Chemistry in 2020 at the same institution, focusing on the preparation, characterization, and applications of carbon allotropes derived from agricultural wastes. Since 2012, Dr. Tohamy has been affiliated with the National Research Center’s Cellulose and Paper Department, where she has gained extensive experience in cellulose chemistry, nanomaterials, sustainability, and drug delivery systems. She has conducted scientific missions in Prague and has been involved in numerous research projects and international collaborations. Her work has earned her recognition, including the best M.Sc. thesis award at the National Research Centre in 2017. Dr. Tohamy is also a member of professional organizations such as the Egyptian Society of Polymer Science and Technology and the Organization for Women in Science for the Developing World (OWSD).

Professional Profile:

ORCID 

 

SCOPUS

 

Education:

  • Ph.D. in Organic Chemistry
    Faculty of Science, Helwan University, 2020
    Thesis Title: Preparation, characterization, and applications of carbon allotropes derived from agricultural wastes
  • M.Sc. in Organic Chemistry
    Faculty of Science, Helwan University, 2017
    Thesis Title: Preparation, characterization, and applications of cellulose-based amphiphilic materials
  • B.Sc. in Chemistry and Biochemistry
    Faculty of Science, Helwan University, 2011
    Graduated with Very Good with honors (among the top ten students)

Work Experience:

  • Teaching Assistant with Ph.D.
    Chair of Erosion and Torrent Control, Department of Ecological Engineering for Soil and Water Resources Protection, University of Belgrade – Faculty of Forestry, June 2022 – Present
    Responsible for teaching and research activities related to erosion control and soil and water conservation.
  • Teaching Assistant
    Chair of Erosion and Torrent Control, Department of Ecological Engineering for Soil and Water Resources Protection, University of Belgrade – Faculty of Forestry, April 2016 – June 2022
    Assisted in teaching and research, focusing on erosion control and ecological engineering.
  • Volunteer and Demonstrator
    University of Belgrade – Faculty of Forestry, November 2015 – April 2016
    Gained practical experience in teaching and laboratory work, contributing to various projects in ecological engineering.
  • Researcher
    National Research Center (NRC), Cellulose and Paper Department, since 2012
    Conducted extensive research in cellulose chemistry, recycling agricultural wastes, sustainability, kinetics, thermal analysis, hydrogels, nanomaterials, and amphiphilic polymers. Specialized in carbon-based materials, graphene oxide, carbon nanotubes, carbon quantum dots, drug delivery, water treatment, adsorption, and sensors.

Publication top Notes:

Biodegradable carboxymethyl cellulose based material for sustainable/active food packaging application

Fluorescence ‘Turn-on’ Probe for Chromium Reduction, Adsorption and Detection Based on Cellulosic Nitrogen-Doped Carbon Quantum Dots Hydrogels

Antibacterial activity and dielectric properties of the PVA/cellulose nanocrystal composite using the synergistic effect of rGO@CuNPs

Potential application of hydroxypropyl methylcellulose/shellac embedded with graphene oxide/TiO2-Nps as natural packaging film

Applications of propolis-based materials in wound healing

Oil dispersing and adsorption by carboxymethyl cellulose–oxalate nanofibrils/nanocrystals and their kinetics

 

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.