Jixiang Dai | Clean Energy | Excellence in Innovation

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Mr. Jixiang Dai | Clean Energy | Excellence in Innovation

Mr. Jixiang Dai, Wuhan University of Technology, China

Mr. Jixiang Dai is an accomplished researcher at the Wuhan University of Technology, specializing in hydrogen-sensitive materials and optical fiber sensing technology. With a Ph.D. in hydrogen-sensitive films and over a decade of research experience, he has developed advanced WO₃- and Pd-based nanocomposite films for fiber optic hydrogen, temperature, and humidity sensors. Mr. Dai possesses extensive expertise in magnetron sputtering, e-beam deposition, FBG writing, ellipsometry, and advanced material characterization methods. He has led multiple nationally funded projects, including those under China’s National Key R&D Program, focusing on intrinsically safe hydrogen sensing systems. His outstanding work has earned him prestigious honors, such as the Second Prize of the China Instrument and Control Society for Technical Invention and the Hubei Province Natural Science Award. Mr. Dai has authored over 15 high-impact journal papers in Nanomaterials, Optics Letters, and Sensors and Actuators B, significantly advancing fiber optic sensor technology for safety and energy applications.

Publication Profile

Scopus

Expertise

Mr. Jixiang Dai is a highly skilled researcher with deep expertise in the synthesis of hydrogen-sensitive materials, particularly WO₃-based and Pd-based nanocomposite films. His work focuses on developing advanced fiber optic sensors capable of detecting hydrogen, temperature, and humidity with high sensitivity and precision. He has significant experience in designing complete sensing systems tailored for safety-critical environments. Mr. Dai is proficient in operating sophisticated deposition systems such as magnetron sputtering and e-beam assisted techniques, and is adept at fabricating fiber Bragg gratings (FBGs) using the phase mask method. He is also skilled in measuring optical constants using ellipsometry and simulating optical properties with RSoft and TFC software. Additionally, he is well-versed in a wide range of material characterization tools, including XRD, SEM, EDAX, TEM, XPS, and AFM. His multidisciplinary skill set enables him to bridge material science and optical engineering for innovative sensor development.

Work and Education Background

Mr. Jixiang Dai has a strong academic and professional background in optical fiber sensing and materials science. Since July 2013, he has been serving as an associate researcher at the National Engineering Laboratory for Fiber Optic Sensing Technology, where he initially worked as an assistant researcher until December 2017. His research focuses on advanced optical fiber sensing technologies. He earned his Ph.D. from 2010 to 2013, concentrating on hydrogen-sensitive films under the mentorship of Professor Minghong Yang, a recipient of the National Distinguished Young Scholars of China. Prior to that, from 2008 to 2011, he completed his master’s degree focusing on fiber Bragg grating hydrogen sensors based on WO₃-Pd composite films, guided by Professor Dengsheng Jiang, an academician of the Chinese Academy of Engineering. Mr. Dai began his academic journey with a bachelor’s degree from 2004 to 2008, studying dielectric thin films under Professor Jing Zhou, laying the foundation for his research career.

Awards and Recognitions

Mr. Jixiang Dai has received notable awards in recognition of his significant contributions to the field of optical fiber sensing and materials science. He was honored with the Second Prize for Technical Invention by the China Instrument and Control Society, where he ranked second for his pioneering work in the development of advanced hydrogen sensing systems using nano-composite films. This award highlights his role in creating impactful technological innovations that enhance safety and performance in sensor applications. Additionally, Mr. Dai received the Second Prize in Natural Science from Hubei Province, also ranking second, in acknowledgment of his high-level scientific research in materials engineering and sensor development. These prestigious awards not only reflect the originality and value of his research but also demonstrate the national and regional recognition of his innovative achievements in advancing sensor technologies and their real-world applications in energy, safety, and environmental monitoring systems

Research Focus

Mr. Jixiang Dai’s Research Focus centers on optical fiber hydrogen sensing technologies with an emphasis on advanced nanomaterials like WO₃-based, Pd/Ta alloys, and graphene quantum dots. His work targets the design, enhancement, and integration of fiber Bragg grating (FBG)-based sensors, leveraging π-phase-shifted structures, optical heating, and ZIF-8 frameworks for heightened sensitivity. His innovations address hydrogen leakage detection, quasi-distributed sensor networks, and environmental sensing applications. The research spans sensor fabrication, performance optimization, and material characterization. 🚀 His impactful contributions are well-cited in journals like Optics Letters, IEEE, and International Journal of Hydrogen Energy.

Publication Top Notes

📄 Improved performance of a fiber-optic hydrogen sensor based on a controllable optical heating technology – Optics Letters, 2024 | 🔁 Cited by: 4 📅
📄 Pd–Ta alloy films hydrogen sensors based on partially coated π-phase-shifted FBG – Optical Materials, 2024 | 🔁 Cited by: 2 📅
📄 Quasi-distributed optical fiber hydrogen leakage detecting system based on bus chain topology structure – Optics Express, 2024 | 🔁 Cited by: 1 📅
📄 Improved performance of fiber-optic hydrogen sensor of porous Pt/WO₃ based on ZIF-8 – Int. J. of Hydrogen Energy, 2024 | 🔁 Cited by: 16 📅
📄 Performance of fiber hydrogen sensor with Pd/Ta composite films – Conference Paper, Year Not Specified | 🔁 Cited by: 0 📅
📄 Performance of fiber-optic hydrogen sensor based on locally coated π-shifted FBG – IEEE Sensors Journal, 2022 | 🔁 Cited by: 11 📅
📄 Ultra-high sensitive fiber optic hydrogen sensor in air – Journal of Lightwave Technology, 2022 | 🔁 Cited by: 12 📅
📄 TBAOH intercalated WO₃ for high-performance optical fiber hydrogen sensor – Int. J. of Hydrogen Energy, 2022 | 🔁 Cited by: 11 📅
📄 Advanced fiber-optic humidity sensor using graphene quantum dots doped polyimide – IEEE Photonics Tech. Lett., 2022 | 🔁 Cited by: 18 📅
📄 Novel optical fiber sensing with tantalum-based hydrogen sensing film – Acta Photonica Sinica, 2022

 

Joseph Agbogla | Renewable Energy | Best Researcher Award

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Mr. Joseph Agbogla | Renewable Energy | Best Researcher Award

Dr. Hossein Pahlavan, Kumasi Technical University, Ghana

Mr. Joseph Agbogla is a dedicated Mechanical Engineer and academic professional with over two decades of experience spanning engineering, production management, and higher education. With a strong background in industrial operations at Guinness Ghana Breweries and academic instruction at Kumasi Technical University, he blends practical expertise with teaching excellence. Joseph is currently pursuing a PhD in Mechanical Engineering at KNUST, Kumasi, where he also previously earned his MSc and BSc degrees. Renowned for his leadership, innovation, and technical training, he continues to contribute significantly to industrial development and academic growth in Ghana and West Africa. 🌍📘

Publication Profile

Orcid

🎓 Education

Joseph Agbogla holds a BSc (Hons) in Mechanical Engineering from KNUST, Kumasi, where he also completed his MSc in Mechanical Engineering. He is currently pursuing a PhD in the same field at KNUST, further advancing his research and expertise. Additionally, he holds a Diploma in Beer Packaging from the Institute of Brewing and Distilling, UK, and successfully completed the APICS CPIM-Part 1 certification, focusing on supply chain management. His foundational education includes GCE Advanced and Ordinary Level certificates from top Ghanaian institutions. Joseph’s diverse academic background reflects his commitment to excellence in both engineering and industrial management. 🎓🔧

💼 Experience

Joseph Agbogla began his career as a Management Trainee at Guinness Ghana Breweries, rising through key roles including Shift Manager, Continuous Improvement Manager, Packaging Engineer, and Technical Training Manager. His tenure saw major contributions like reducing training gaps, enhancing production efficiency, and cutting spare part imports. As Lecturer at Kumasi Technical University since 2021, he teaches core engineering courses and mentors future professionals. With over 20 years of combined industrial and academic experience, Joseph has led strategic initiatives in packaging, lean manufacturing, and employee capability development across Ghana, Nigeria, and Cameroon. His leadership consistently drives performance and operational excellence. ⚙️📈

🏅 Awards and Honors

Joseph Agbogla’s professional journey is marked by significant achievements. At Guinness Ghana Breweries, he was instrumental in saving over $520,000 through technical upgrades and process improvements. His initiative in installing the first PET bottling line in Ghana and reducing production rework by 15% earned internal accolades. He also led the SAP Superuser training across sites, achieving 100% functional use within 6 months. His academic excellence is reflected in scholarships and distinctions throughout his studies. Joseph’s dedication to continuous improvement, safety leadership, and team performance has been consistently recognized both in industry and academia. 🏆💡

🔬 Research Focus

Joseph Agbogla’s current research as a PhD candidate in Mechanical Engineering at KNUST focuses on industrial automation, preventive maintenance, and process optimization in manufacturing systems. His interests intersect with lean manufacturing, root cause analysis, plant maintenance strategies, and energy efficiency within production lines. He explores advanced engineering methods to improve operational efficiency and reduce downtime. Drawing from rich industry experience, his research integrates real-world challenges with engineering solutions. Joseph’s goal is to enhance industrial reliability and workforce capability through sustainable and innovative engineering practices applicable across Ghana and beyond. 🧪🔧📊

Publication Top Notes

📘 “Techno-environmental assessment of the fuel properties of a variety of briquettes for biomass boiler applications” – CHARLES SEKYERE, R. Opoku, Benjamin Asaaga, Bismark Baah, P.Y. Andoh, G.Y. Obeng, Joseph Agbogla | Cleaner Energy Systems | 🗓️ 2025 | DOI: 10.1016/j.cles.2025.100185

🔋 “Soiling Estimation Methods in Solar Photovoltaic Systems: Review, Challenges and Future Directions” – J. Agbogla, C.K.K. Sekyere, F.K. Forson, R. Opoku, B. Baah | Results in Engineering | 🗓️ 2025 | DOI: 10.1016/j.rineng.2025.104810

Bassma Guermah | Data Science | Excellence in Research

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Mrs. Bassma Guermah | Data Science | Excellence in Research

Professor researcher, Université Internationale de Rabat, Morocco

Bassma Guermah is an Assistant Professor at the International University of Rabat, specializing in computer science. She earned her PhD in Computer Science from the National Institute of Posts and Telecommunications (INPT) in 2018. With extensive teaching experience at multiple institutions, she has contributed to research in fields such as deep learning, spatio-temporal forecasting, and air pollution monitoring. Bassma has published in high-impact journals, including IEEE Access. She’s actively involved in projects like OptEV and i-RESPIRE, and serves as the Deputy General Secretary of AMAN Association. Her dedication to education is evident in her roles as coordinator and club referent at UIR. 📚🌍🌱

Publication Profile

Orcid

Education

Mrs. Bassma Guermah holds a PhD in Computer Science from the National Institute of Posts and Telecommunications (INPT), awarded in 2018. She also earned an Engineering degree in Computer Science from the National Institute of Statistics and Applied Economics (INSEA) in 2014. Her academic background reflects a strong foundation in both theoretical and practical aspects of computer science, laying the groundwork for her successful academic and professional career. With a focus on innovation and research, Bassma continues to contribute to the fields of technology and data science. 🔍💻

Academic Experience

Mrs. Bassma Guermah has a rich academic experience spanning various prestigious institutions. Since 2019, she has served as an Assistant Professor at the International University of Rabat, contributing to the academic growth of students. Prior to this, she was a Temporary Teacher at both the National Institute of Statistics and Applied Economics (INSEA) from 2016 to 2019 and the International University of Rabat from 2015 to 2019. Additionally, she taught at the National Institute of Posts and Telecommunications (INPT) from 2014 to 2015. Her dedication to education and research continues to inspire her students. 📚👩‍🏫

Non-Academic Experience

Mrs. Bassma Guermah has gained valuable non-academic experience during her career. She worked as a Postdoctoral Researcher at the International University of Rabat, where she developed a Web Geographic Information System to visualize air pollution in Morocco, particularly in Rabat-Sale and Temara. Her tenure lasted from March 2019 to January 2021. Additionally, she worked as a Freelancer Consultant at DigiUP from 2016 to 2019, where she was involved in creating IT solutions, from the modeling phase to the implementation of systems. 💻🌱

Honors and Awards

In recognition of her exceptional academic achievements, Mrs. Bassma Guermah was honored with the prestigious “Best End-of-Study Project Award” by the Popular Bank in 2015. This award highlighted her outstanding work and dedication during her studies, marking a significant milestone in her academic journey. The recognition not only affirmed her expertise but also underscored her potential to contribute meaningfully to the field of computer science. This award continues to inspire her pursuit of excellence in both academic and professional endeavors. 🎉💡

Research Focus

Mrs. Bassma Guermah’s research primarily focuses on computer science, machine learning, GNSS (Global Navigation Satellite Systems), and context-aware systems. She has contributed to urban air pollution monitoring systems, vehicle localization in challenging environments, and chronic kidney disease prediction using context ontology and support vector machines (SVM). Her work also explores signal classification and multipath error estimation for GNSS positioning in urban areas. Additionally, she investigates the integration of machine learning with context-aware systems for improved data analysis and decision-making in various applications. 🌐📊🔍

Publication Top Notes

  • How can reasoning improve ontology-based context-aware system? (2020) | Cited by: 20+ 📚
  • Moreair: A low-cost urban air pollution monitoring system (2020) | Cited by: 15+ 🌍
  • A Robust GNSS LOS/Multipath Signal Classifier based on the Fusion of Information and Machine Learning for Intelligent Transportation Systems (2018) | Cited by: 10+ 🚗
  • GNSS Positioning Enhancement Based on NLOS Multipath Biases Estimation Using Gaussian Mixture Noise (2018) | Cited by: 8+ 📡
  • Improving vehicle localization in hard environments using GNSS-GSM hybridization and Gaussian mixture noise (2018) | Cited by: 7+ 🚙
  • Support vector machines for improving vehicle localization in urban canyons (2018) | Cited by: 12+ 🏙️
  • Using context ontology and linear SVM for chronic kidney disease prediction (2018) | Cited by: 5+ 🧠
  • A comparative performance analysis of position estimation algorithms for GNSS localization in urban areas (2017) | Cited by: 9+ 🌐
  • A map-matching based approach to compute and modelize NLOS and multipath errors for GNSS positioning in hard areas (2017) | Cited by: 6+ 📊
  • Fuzzy logic approach for GNSS signal classification using RHCP And LHCP antennas (2017) | Cited by: 4+ 📍

Mohammad Ashaduzzaman khan | Energy storage | Best Researcher Award

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Mr. Mohammad Ashaduzzaman khan | Energy storage | Best Researcher Award

Research specialist, V-Trion textile research GmBH, Austria

Mr. Mohammad Ashaduzzamankhan is a Materials Scientist at V-Trion Textile Research GmbH, Austria, specializing in nanomaterials for batteries, supercapacitors, and biosensors. With a Ph.D. in solid-state lithium-ion batteries (Technical University of Freiberg), he has a Master’s in Advanced Materials from the Technical University of Darmstadt and University of Bordeaux. His work includes developing flexible supercapacitors, modifying nanomaterials, and fabricating textile-based electrodes. His research has been presented at the Smart Materials 2022 conference. Skilled in IR, XRD, and SEM, he is fluent in English and proficient in German and French. 🔋⚡🧪🧑‍🔬

Publication Profile

Google Scholar

Work Experience

Since May 2021, Mr. Mohammad Ashaduzzamankhan has been working as a Research Specialist (Materials Engineer) at V-Trion Textile Research GmbH in Austria. He focuses on the development and fabrication of solid-state batteries, including the synthesis of cathode and anode materials, preparing slurries, and fabricating textile-based electrodes. Additionally, he works on flexible supercapacitors, modifying nanomaterials like reduced graphene oxide and manganese dioxide. His role also includes designing flexible biosensors, preparing sensitive nanomaterials, and utilizing advanced characterization techniques such as IR, XRD, SEM, and XPS. 🔋⚡🧪

Education

Mr. Mohammad Ashaduzzamankhan is currently pursuing a Ph.D. in Solid State Lithium-Ion Batteries at the Technical University of Freiberg (Germany), starting in September 2024. He completed his M.Sc. in Advanced Materials Innovative Recycling (AMIR) from the Technical University of Darmstadt (Germany) and University of Bordeaux (France) in 2020, with a thesis on graphene-PMMA composites for gas sensors. Earlier, he earned an M.Sc. in Physical Chemistry and a B.Sc. in Chemistry from the University of Rajshahi (Bangladesh). 🎓🔋🧪

Research Focus

Mr. Mohammad Ashaduzzamankhan’s research primarily revolves around smart textiles, energy storage systems, and biosensors. His work explores nanocomposites for wearable electronics, including smart-textile sensors for human health monitoring, energy harvesting, and vital sign detection. He focuses on developing piezoelectric and triboelectric textiles for self-powered devices and supercapacitors for wearable energy storage. Additionally, his research includes advanced nanomaterials for sensors and high-rate supercapacitors. His contributions are pivotal in flexible electronics and healthcare technology applications. 🧵🔋📱💡

Publication Top Notes

  • “Modified graphene-based nanocomposite material for smart textile biosensor to detect lactate from human sweat” – Cited by 46, 2021 📘🔬
  • “Smart-textile strain sensor for human joint monitoring” – Cited by 34, 2022 🦵👗
  • “A review on advanced nanocomposites materials based smart textile biosensor for healthcare monitoring from human sweat” – Cited by 29, 2023 🩺🧵
  • “A piezoelectric smart textile for energy harvesting and wearable self-powered sensors” – Cited by 27, 2022 ⚡🧤
  • “Wearable socks with single electrode triboelectric textile sensors for monitoring footsteps” – Cited by 21, 2021 👣🧦
  • “Smart-textile supercapacitor for wearable energy storage system” – Cited by 18, 2023 🔋🧵
  • “Roll to roll triboelectric fiber manufacturing for smart-textile self-powered sensor and harvester” – Cited by 17, 2023 🔄⚙️
  • “Autonomous Triboelectric Smart Textile Sensor for Vital Sign Monitoring” – Cited by 6, 2024 💓📊
  • “Industrially Scalable Piezoresistive Smart-Textile Sensor for Flexible Electronics Application” – Cited by 5, 2023 🧑‍🔬💡
  • “Textile geometry associated with advanced nanomaterials for high rate supercapacitors” – Cited by 5, 2023 💠🔋