Prof. Dr Mokhtar Hjiri | Metal oxide gas sensors | Best Researcher Award

Prof. Dr . Mokhtar Hjiri | Metal Oxide Gas Sensors | Best Researcher Award

Associate Professor ,ย  Imam Mohammad Ibn Saud Islamic University , best researcher award

Mokhtar Hjiri is an associate professor at Imam Mohammed Ibn Saud Islamic University, Riyadh, specializing in nanomaterials synthesis for gas sensors and wastewater treatment. ๐ŸŽ“ He earned his PhD in 2016 from the University of Monastir in collaboration with the University of Messina. ๐Ÿ‡น๐Ÿ‡ณ๐Ÿ‡ฎ๐Ÿ‡น With teaching and research experience in Tunisia, Saudi Arabia, and Italy, he is skilled in spin coating, hydrothermal synthesis, and gas sensing techniques. ๐Ÿ”ฌ His work advances environmental safety and sensor technology. ๐ŸŒฟโš™๏ธ He speaks Arabic, English, French, and Italian, bridging international research communities. ๐ŸŒ

Professional Profile

GOOGLE SCHOLAR

Education and Experience

Mokhtar Hjiri completed his Masterโ€™s degree in Materials and Nanomaterials at University of Monastir in 2010 ๐ŸŽ“ and earned his PhD in 2016 jointly with University of Monastir and University of Messina. ๐Ÿ‡น๐Ÿ‡ณ๐Ÿ‡ฎ๐Ÿ‡น He worked as assistant professor at King Abdulaziz University (2016-2020) and advanced to associate professor there until 2022. Currently, he holds an associate professor role at Imam Mohammed Ibn Saud Islamic University. ๐Ÿซ His expertise spans from lecturing physics to supervising nanomaterial synthesis projects, contributing to international research collaborations. ๐ŸŒ

Professional Development

Mokhtar continuously develops expertise in nanomaterials and gas sensor technologies. ๐Ÿ”ฌ He has trained extensively in Italy, learning advanced hydrothermal and green chemistry methods. ๐Ÿ‡ฎ๐Ÿ‡น His research proficiency includes spin coating, X-ray diffraction, and gas sensing systems. ๐Ÿงช He mentors Masterโ€™s students in innovative projects on spinel ferrite and doped ZnO nanoparticles. ๐ŸŽ“ Proficient in Matlab, LaTeX, and Microsoft Office, he balances research with teaching general physics and semiconductors. ๐Ÿ’ป Multilingual skills (Arabic, English, French, Italian) enable global collaboration. ๐ŸŒ

Research Focus

Mokhtarโ€™s research centers on the synthesis of metal oxide nanomaterials for gas sensor applications and wastewater treatment. ๐Ÿงซ He specializes in hydrothermal synthesis, green chemistry, and spin coating techniques to create functional thin films and nanopowders. ๐ŸŒฑ His work targets environmental monitoring and pollution control via advanced chemoresistive sensors and heavy metal adsorption. โš—๏ธ Combining materials science with applied physics, his research contributes to safer industrial processes and sustainable technologies. ๐ŸŒฟ๐Ÿ”ง

Awards and Honors

Mokhtar Hjiri has earned recognition for his pioneering research in nanomaterials and sensor technology. ๐Ÿ… His papers published in top journals and presentations at IEEE workshops highlight his contributions. ๐Ÿ“š His commitment to innovative methods for environmental safety has gained academic respect and collaborative opportunities. ๐ŸŒ He is known for successfully supervising graduate theses and promoting cross-disciplinary knowledge exchange. ๐ŸŽ“ His growing impact in materials science and engineering reflects his leadership and dedication to advancing nanotechnology applications. ๐Ÿ”โœจ

Publication Top Notes

1. Al-doped ZnO for highly sensitive CO gas sensors

Authors: M. Hjiri, L. El Mir, S.G. Leonardi, A. Pistone, L. Mavilia, G. Neri
Journal: Sensors and Actuators B: Chemical, Volume 196, Pages 413-420, 2014
Citations: 441
Summary:
This study reports on the development of aluminum-doped zinc oxide (Al-ZnO) nanomaterials tailored for detecting carbon monoxide (CO) gas with high sensitivity. Using advanced synthesis methods, the authors optimized the doping concentration to enhance sensor performance, improving response time and selectivity. The Al doping effectively modulates the electrical properties of ZnO, leading to superior detection capabilities suitable for environmental monitoring and industrial safety applications.

2. Harnessing bacterial endophytes for promotion of plant growth and biotechnological applications: an overview

Authors: A.M. Eid, A. Fouda, M.A. Abdel-Rahman, S.S. Salem, A. Elsaied, R. Oelmรผller, et al.
Journal: Plants, Volume 10, Issue 5, Article 935, 2021
Citations: 198
Summary:
This comprehensive review highlights the role of bacterial endophytesโ€”microorganisms living within plantsโ€”in enhancing plant growth and their diverse biotechnological applications. While not authored solely by Hjiri, this work involves him as a co-author contributing expertise on the microbial interactions and applications in agriculture and environmental science. The article emphasizes sustainable agricultural practices and future potential for biofertilizers and biocontrol agents.

3. Enhanced performance of novel calcium/aluminum co-doped zinc oxide for CO2 sensors

Authors: R. Dhahri, S.G. Leonardi, M. Hjiri, L. El Mir, A. Bonavita, N. Donato, et al.
Journal: Sensors and Actuators B: Chemical, Volume 239, Pages 36-44, 2017
Citations: 120
Summary:
This research presents the synthesis and testing of zinc oxide sensors co-doped with calcium and aluminum for improved detection of carbon dioxide (CO2). The co-doping strategy enhances sensitivity and selectivity by modifying the surface properties and electrical conductivity of ZnO nanostructures. The sensors demonstrate fast response and recovery times, making them promising for environmental monitoring and industrial gas detection systems.

4. CO and NO2 Selective Monitoring by ZnO-Based Sensors

Authors: M. Hjiri, L. El Mir, S.G. Leonardi, N. Donato, G. Neri
Journal: Nanomaterials, Volume 3, Issue 3, Pages 357-369, 2013
Citations: 116
Summary:
This paper investigates zinc oxide-based sensors engineered for selective detection of carbon monoxide (CO) and nitrogen dioxide (NO2). By tailoring the material properties and sensor architecture, the authors achieve selective sensing capabilities critical for air quality control. The study also examines sensor response under varying environmental conditions, confirming the robustness and potential of ZnO nanomaterials for real-world applications.

5. Effect of indium doping on ZnO based-gas sensor for CO

Authors: M. Hjiri, R. Dhahri, K. Omri, L. El Mir, S.G. Leonardi, N. Donato, G. Neri
Journal: Materials Science in Semiconductor Processing, Volume 27, Pages 319-325, 2014
Citations: 110
Summary:
This article explores how indium doping influences the gas sensing performance of zinc oxide sensors targeting carbon monoxide. Indium incorporation enhances ZnOโ€™s electrical conductivity and surface reactivity, leading to improved sensor sensitivity and selectivity. The research includes detailed characterization of material morphology and electronic properties, contributing to optimized gas sensor design.

Conclusion

Mokhtar Hjiriโ€™s focused contributions on enhancing gas sensor technology using innovative nanomaterials and doping methods position him as a leading researcher in the field of materials science and sensor engineering. His impactful research directly supports environmental safety and sustainability, key priorities in modern science and technology. Given his high citation record, continuous scientific output, and mentorship roles, he is an excellent candidate for a Best Researcher Award, recognizing both his scientific excellence and societal relevance.

Dr. Fei Huang | electronic textiles | Best Researcher Award

Dr. Fei Huang | electronic textiles | Best Researcher Award

lecturer at Jiangsu College of Engineering and Technology , China

Fei Huang ๐Ÿ‘ฉโ€๐Ÿ”ฌ is a dynamic researcher and lecturer in textile engineering, specializing in flexible and stretchable strain sensors ๐Ÿงต๐Ÿ”‹. She earned her PhD from Donghua University under the guidance of Prof. Jiyong Hu and Xiong Yan ๐ŸŽ“. Her cutting-edge work on wearable sensor technologies has led to several high-impact journal publications and innovative patents ๐Ÿ“„๐Ÿ’ก. Currently teaching at Jiangsu College of Engineering and Technology ๐Ÿ‘ฉโ€๐Ÿซ, she blends scientific rigor with practical application. Fei is passionate about smart textiles, precision agriculture ๐ŸŒฟ, and human-motion tracking ๐Ÿ‘Ÿ. Her skills in research, technology, and collaboration make her a rising star ๐ŸŒŸ in smart material science.

Professional Profile

SCOPUS

ORCID

Education & Experienceย 

Fei Huang began her academic career at Jiangnan University ๐Ÿซ, where she earned a B.S. in Textile Science and Engineering ๐ŸŽ“ (2015โ€“2019). She pursued a PhD at Donghua University in Shanghai ๐Ÿงช, researching flexible and stretchable strain sensors under Professors Jiyong Hu and Xiong Yan (2019โ€“2025) ๐Ÿ“˜. Following her doctorate, she joined Jiangsu College of Engineering and Technology in Nantong as a lecturer ๐Ÿ‘ฉโ€๐Ÿซ in March 2025. Her academic journey reflects a strong foundation in textile science ๐Ÿงต and a commitment to advancing wearable sensor technology ๐Ÿค–. Fei has evolved into an experienced researcher and educator in smart materials.

Professional Developmentย 

Fei Huang has developed a diverse skill set combining textile engineering ๐Ÿงต, materials science ๐Ÿงฌ, and sensor technology ๐Ÿ“Š. She is proficient in software like MATLAB, SPSS, ABAQUS, CAD, and Photoshop ๐Ÿ’ป, supporting her deep technical analysis and design capabilities. Fluent in both Mandarin and English ๐ŸŒ, she collaborates effectively on global research projects. She demonstrates strength in laboratory techniques, literature review, and data interpretation ๐Ÿ”. With hobbies including running, hiking, and reading ๐Ÿƒโ€โ™€๏ธ๐Ÿ“š, Fei maintains balance in her academic life. Her commitment to continuous learning and innovation ๐Ÿ”„ positions her as a forward-thinking researcher in wearable technology.

Research Focusย 

Fei Huangโ€™s research focuses on flexible, stretchable, and wearable strain sensors ๐Ÿงต๐Ÿ”‹. Her innovations target real-time motion monitoring ๐Ÿฆต, gait analysis ๐Ÿšถโ€โ™€๏ธ, and precision agriculture ๐ŸŒพ through sensor integration into textiles. She designs yarn-based capacitive and resistive sensors with ultra-low detection limits and high responsiveness โš™๏ธ. Her work explores encapsulation, structural design, and braiding technologies to improve sensor performance and durability ๐Ÿ”„. Fei also investigates graphene-based devices for environmental sensing ๐ŸŒฟ. Her contributions lie at the intersection of smart textiles, wearable electronics, and functional materials, aiming to make textile-integrated electronics practical for health, sports, and agricultural use ๐Ÿค–๐ŸŒ.

Awards & Honors

Fei Huang has received notable awards for her academic and research achievements ๐Ÿ†. She earned the National Scholarship (2017โ€“2018) for outstanding performance ๐ŸŒŸ and was honored with First-Class (2015โ€“2016) and Third-Class (2016โ€“2017) Academic Scholarships ๐Ÿ“˜. In 2022, she received the Graduate Student Innovation Fund and Fundamental Research Funds for the Central Universities at Donghua University ๐Ÿ’กโ€”a testament to her innovative sensor work. These honors reflect her dedication to academic excellence and research impact ๐Ÿ“–. With her track record of recognition and productivity, Fei stands out as a promising contributor to the future of smart material technologies ๐Ÿงช.

Publication Top Notes

1. A Wide-linear-range and Low-hysteresis Resistive Strain Sensor Made of Double-threaded Conductive Yarn for Human Movement Detection

Journal: Journal of Materials Science & Technology
Publication Date: February 2024
DOI: 10.1016/j.jmst.2023.06.047
Authors: Fei Huang, Jiyong Hu, Xiong Yan

๐Ÿ” Summary:
This study introduces a novel resistive strain sensor composed of double-threaded conductive yarn engineered for wide linear range and minimal hysteresis. The sensor demonstrates high sensitivity and durability, making it ideal for human movement detection applications such as wearable health monitors and motion tracking suits. The work emphasizes material optimization and structural innovation to enhance repeatability and responsiveness, paving the way for smart textile integration in biomechanical systems.

2. High-linearity, Ultralow-detection-limit, and Rapid-response Strain Sensing Yarn for Data Gloves

Journal: Journal of Industrial Textiles
Publication Date: June 2022
DOI: 10.1177/15280837221084369
Authors: Fei Huang, Jiyong Hu, Xiong Yan, Fenye Meng

๐Ÿ” Summary:
This paper presents a strain sensing yarn with exceptional linearity, low detection threshold, and fast response time. Designed specifically for data gloves, this sensor enables accurate hand gesture recognition and real-time motion monitoring. The research blends material engineering and textile design to create a sensor with strong durability, making it suitable for immersive humanโ€“machine interface technologies, virtual reality, and robotic control applications.

3. Review of Fiber- or Yarn-Based Wearable Resistive Strain Sensors: Structural Design, Fabrication Technologies and Applications

Journal: Textiles
Publication Date: February 2022
DOI: 10.3390/textiles2010005
Authors: Fei Huang, Jiyong Hu, Xiong Yan

๐Ÿ” Summary:
This comprehensive review covers recent advancements in fiber- and yarn-based resistive strain sensors for wearable electronics. The authors analyze structural designs, material compositions, and fabrication techniques, along with their applications in health monitoring, sports, and robotics. The review serves as a valuable guide for researchers and engineers developing next-generation smart textiles, offering insight into performance optimization and integration strategies for flexible electronics.

Conclusion

Fei Huang’s originality, impact, and interdisciplinary contributions make her an ideal recipient for awards such as:
Best Researcher Award, AI and Smart Technology Innovation Awards, or Young Scientist Award.
Her commitment to creating intelligent wearable systems that address real-world needs places her at the forefront of next-generation sensor research.