Mr. Md Abu Huraiya | Sensor Networking | Young Scientist Award

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Mr. Md Abu Huraiya | Sensor Networking | Young Scientist Award

Mr. Md Abu Huraiya, BRAC University, Bangladesh

Md Abu Huraiya is a passionate researcher in Electrical and Electronic Engineering, with expertise in photonic crystal fibers (PCF), surface plasmon resonance (SPR), microelectromechanical systems (MEMS), and surface acoustic wave (SAW) sensors. He earned his B.Sc. from Rajshahi University of Engineering & Technology (RUET) and currently serves as a Research Assistant at BRAC University. His research focuses on developing high-sensitivity optical and MEMS-based sensors, integrating Machine Learning (ML) for enhanced performance. Proficient in COMSOL Multiphysics, he has contributed to cutting-edge simulations for perovskite solar cells and biosensors. Additionally, he leads Academia Research Group, mentoring students in computational modeling and sensor development. With a strong academic foundation, hands-on expertise, and multiple research publications, Md Abu Huraiya aims to revolutionize sensor networks and photonics with advanced data analytics. His dedication to scientific innovation and education makes him a promising young researcher in the field.

🌐 Professional Profile

Google Scholar

πŸ† Suitability for Young Scientist Award 

Md Abu Huraiya is an excellent candidate for the Young Scientist Award, given his groundbreaking contributions to sensor networks, photonic crystal fibers (PCF), and MEMS-based sensors. His research in SPR-based biosensors for medical diagnostics and perovskite solar cells for renewable energy highlights his ability to tackle real-world problems with cutting-edge technology. His expertise in COMSOL Multiphysics simulations has led to significant advancements in sensor design, with a focus on enhanced sensitivity and efficiency. Additionally, his leadership as the founder of Academia Research Group demonstrates his commitment to knowledge sharing and mentorship. His interdisciplinary approach, incorporating Machine Learning (ML) into sensor technology, sets him apart as an innovative researcher. With a solid track record of academic excellence, hands-on research experience, and impactful publications, he exemplifies the qualities of a young scientist driving technological advancements for a sustainable future.

πŸŽ“ Education 

Md Abu Huraiya holds a B.Sc. in Electrical and Electronic Engineering from Rajshahi University of Engineering & Technology (RUET), Bangladesh, graduating in May 2024. During his academic journey, he developed a strong foundation in photonic sensors, MEMS, and renewable energy technologies. His coursework covered optical fiber communication, signal processing, semiconductor devices, and nanotechnology. He has actively participated in research on SPR-based biosensors, PCF designs, and perovskite solar cells, gaining hands-on experience with simulation tools like COMSOL Multiphysics and MATLAB. His ability to bridge theoretical knowledge with practical applications has enabled him to contribute to high-impact research. His continuous learning mindset is evident in his certifications in radar and satellite communication and electric machines, enhancing his expertise in electromagnetic wave propagation and sensor technologies. His strong academic background and research acumen position him as a rising star in the field of Electrical and Electronic Engineering.

πŸ‘¨β€πŸ”¬ Research & Professional Experience 

Md Abu Huraiya is a Research Assistant at BRAC University (2024 – Present), working on perovskite solar cells, PCF-based SPR sensors, MEMS-based SAW sensors, and optical switches. His role involves designing high-sensitivity biosensors, optimizing perovskite solar cell efficiency, and leveraging Machine Learning (ML) for sensor performance improvement. He is skilled in COMSOL Multiphysics for sensor simulation and analysis.

Additionally, he founded Academia Research Group (2024 – Present), where he mentors students in COMSOL-based simulations for PCF-based SPR sensors and solar cells. He also runs a YouTube channel that provides educational content on computational modeling.

His research expertise spans nanophotonics, sensor development, and MEMS. With his innovative mindset, hands-on experience, and leadership, he is making impactful contributions to the field of sensor networks and optoelectronic devices.

πŸ… Awards & Honors 

Md Abu Huraiya has received several awards and recognitions for his academic excellence and extracurricular achievements:

  1. πŸ† Thana-Level Examination Winner – Secured first prize in a highly competitive academic examination.
  2. 🏏 Cricket Championship Winner – Demonstrated teamwork and leadership as part of the winning short-pitch cricket team.
  3. πŸ“œ Radar and Satellite Communication Certificate – Certified in advanced radar and satellite communication techniques by RUET.
  4. ⚑ Electric Machines Certification – Completed a specialized course on transformers, DC machines, and AC machines, enhancing his technical knowledge.

His ability to balance academic excellence with leadership in sports and research makes him a well-rounded candidate for prestigious awards.

πŸ”¬ Research Focus 

Md Abu Huraiya’s research primarily revolves around sensor networks, photonic crystal fibers (PCF), surface plasmon resonance (SPR), microelectromechanical systems (MEMS), photonics, and machine learning applications.

  1. PCF-based SPR Sensors – Developing high-sensitivity biosensors for medical diagnostics and environmental monitoring.
  2. MEMS-based SAW Sensors – Innovating acoustic wave sensors for precise measurements in healthcare and industrial applications.
  3. Perovskite Solar Cells – Enhancing the efficiency of lead-free perovskite solar cells using COMSOL-based simulations.
  4. Machine Learning (ML) in Sensor Optimization – Integrating AI-driven data analysis to improve sensor accuracy.
  5. Optical Switches – Designing advanced optical switching mechanisms for next-generation photonics.

His interdisciplinary approach to sensor technology, photonics, and AI-driven optimizations is shaping the future of smart and efficient sensor networks.

Publication Top Notes:

  • Title: New Approach for a Highly Sensitive V-Shaped SPR Biosensor for a Wide Range of Analyte RI Detection
    • Year: 2024
    • Citations: 5
  • Title: Ultra-sensitive Refractive Index Detection with Gold-Coated PCF-Based SPR Sensor
    • Year: 2024
    • Citations: 4
  • Title: Highly Optimized and Sensitive Bowtie Shape-Based SPR Biosensor for Different Analyte Detection
    • Year: 2025
    • Citations: 2
  • Title: A Circular Shaped SPR PCF Biosensor Based on External Sensing Mechanism
    • Year: 2024
    • Citations: 2
  • Title: Highly Sensitive X-Shaped SPR Biosensor for a Wide Range of Detection
    • Year: 2024
    • Citations: 2

 

 

Assoc. Prof. Dr. aynur mamat | Remote sensing | Women Researcher Award

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Assoc. Prof. Dr. aynur mamat | Remote sensing | Women Researcher Award

Assoc. Prof. Dr. aynur mamat | Kashi Aerospace Information Research Institute | China

Aynur Mamat, Ph.D., is an Associate Researcher at the Aerospace Information Research Institute, Chinese Academy of Sciences πŸš€, and the Kashgar Institute of Aerospace Information. With over a decade of expertise in remote sensing πŸ“‘ and sustainable development in arid regions 🌡, she has led and contributed to 10+ national and provincial projects. Aynur has published 20+ academic papers πŸ“„, including 10+ first-author SCI papers, and is a proud member of the CAS Youth Innovation Promotion Association 🌟. Her innovative work has earned her multiple excellence awards πŸ† from the Chinese Academy of Sciences.

Professional Profile:

SCOPUS

Suitability for Women Researcher Award

Dr. Aynur Mamat exemplifies the qualities of an outstanding candidate for the Women Researcher Award. As an Associate Researcher at the Aerospace Information Research Institute, Chinese Academy of Sciences, and the Kashgar Institute of Aerospace Information, she has demonstrated exceptional leadership, innovation, and dedication in the field of remote sensing and sustainable development in arid regions. Her academic achievements, project leadership, and impactful research contributions showcase her as a role model for women in STEM.

Education and Experience πŸŽ“πŸ’Ό

  • πŸŽ“ Ph.D. (Details not providedβ€”please specify if needed)
  • πŸ‘©β€πŸ’Ό Associate Researcher
    Aerospace Information Research Institute, CAS
  • πŸ‘©β€πŸ’Ό Associate Researcher
    Kashgar Institute of Aerospace Information
  • πŸ›°οΈ Over 10 years of experience in remote sensing monitoring and ecological research

Professional Development 

πŸš€ Aynur Mamat has consistently advanced in her professional journey, blending scientific research with environmental applications 🌱. As an Associate Researcher at CAS, she has spearheaded projects focusing on remote sensing for ecological monitoring πŸ“‘ and sustainable development in arid regions 🌍. Her leadership in over 10 national and provincial projects reflects her strong research and project management skills πŸ“Š. As a graduate supervisor πŸ‘©β€πŸ«, she mentors future researchers, fostering scientific growth. A member of the CAS Youth Innovation Promotion Association 🌟, Aynur’s commitment to innovation has been recognized with multiple excellence awards πŸ….

Research Focus 

πŸ”¬ Aynur Mamat’s research is rooted in remote sensing monitoring πŸ“‘ and sustainable development 🌿, with a focus on arid regions 🌡. She explores the ecological evolution of lake basins, oasis ecological security 🌊, and the dynamic mechanisms of human-nature systems 🏞️. Her work integrates GIS technologies πŸ—ΊοΈ to assess environmental suitability for human settlements, emphasizing climate change impacts 🌦️ and hydrological responses in mid-high latitude wetlands. Aynur’s interdisciplinary approach bridges environmental science 🌍, geographic information systems (GIS), and climate change research 🌑️ to promote ecological sustainability.

Awards and Honors πŸ†

  • πŸ… Excellence Awards from the Chinese Academy of Sciences
  • 🌟 Member, CAS Youth Innovation Promotion Association

Publication Top Notes:

β€œCharacterization of Spatial Distribution and Source Analysis of Heavy Metals in Surface Dust of Typical Oil Cities According to PMF Modeling” by A. Yisimayili, A. Mamat and M. Amat

 

 

 

Mr. Tauqeer Nawaz | Remote Sensing | Best Researcher Award

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Mr. Tauqeer Nawaz | Remote Sensing | Best Researcher Award

Mr. Tauqeer Nawaz | Beijing Forestry University | Pakistan

Tauqeer Nawaz is a passionate researcher in forestry, GIS, and remote sensing, dedicated to ecological conservation and carbon fixation in arid regions. 🌍 He holds a B.Sc. (Hons) in Agriculture (Forestry) from Ghazi University, Pakistan (2021), and is currently pursuing a Master’s in Cartography, GIS, and Remote Sensing at Beijing Forestry University, China. πŸŽ“ His research focuses on forest ecosystem management, ecological restoration, and climate change impacts. πŸ“ŠπŸŒ± He has participated in international conferences, authored scientific publications, and contributed to national research projects. πŸ“ His expertise includes programming, GIS software, and environmental modeling. πŸ’»πŸŒ³

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Tauqeer Nawaz is a highly dedicated researcher specializing in forestry, GIS, and remote sensing, making him a strong candidate for the Best Researcher Award. His work focuses on ecological conservation, carbon fixation, and sustainable forest management, which are critical for addressing global environmental challenges. With an academic background in agriculture and forestry and ongoing postgraduate research in GIS and remote sensing, he has demonstrated a strong commitment to advancing ecological sciences.

Education & Experience πŸ“šπŸ‘¨β€πŸ«

  • πŸŽ“ Master in Cartography, GIS & Remote Sensing – Beijing Forestry University, China (2022 – Present)
  • πŸŽ“ B.Sc. (Hons) in Agriculture (Forestry) – Ghazi University, Pakistan (2017 – 2021)
  • 🌿 Researcher – Beijing Forestry University, College of Forestry, China
  • πŸ›° Expert in GIS, Remote Sensing & Ecological Restoration
  • πŸ“Š Published multiple research papers on ecological networks and carbon sequestration
  • πŸ› Active participant in international conferences on forest management and biodiversity

Professional Development πŸŒ±πŸ“‘πŸ“–

Tauqeer Nawaz actively enhances his expertise in GIS, remote sensing, and ecological restoration through advanced research and academic collaborations. πŸ”¬ His work focuses on optimizing ecological spatial networks, carbon sequestration, and biodiversity conservation in arid and semi-arid regions. 🌿 He has contributed to multiple national research projects, including the Sichuan-Tibet Railway Project and studies on forest land carbon reserves in coal mines. πŸ”οΈ His skills span programming, geospatial analysis, and environmental modeling, ensuring practical solutions for sustainable land management. πŸ›°οΈ He regularly attends international conferences and workshops, keeping pace with emerging trends in environmental science. πŸŒπŸ“Š

Research Focus πŸŒπŸŒΏπŸ“Š

Tauqeer Nawaz’s research is centered on GIS, remote sensing, and ecological sustainability, with a focus on carbon fixation, desert ecosystems, and climate change adaptation. 🌱 His studies integrate spatial analysis, land-use modeling, and ecosystem restoration techniques to address biodiversity loss and environmental degradation. πŸ“‘ His work explores forest carbon storage, desertification control, and the impact of land-use changes on ecological functions. 🌍 He employs advanced GIS tools, MCR models, and remote sensing data to develop strategies for sustainable land management. πŸ›° His contributions play a crucial role in enhancing global efforts toward climate resilience and ecological conservation. 🌳πŸ”₯

Awards & Honors πŸ†πŸŽ–οΈ

  • πŸŽ“ HEC-Ehsaas Scholarship (Pakistan) – Awarded for academic excellence at Ghazi University (2019)
  • πŸ‡¨πŸ‡³ China Scholarship Council (CSC) Award – Fully funded scholarship for Master’s studies in China (2022)
  • 🌍 United Nations Certification – Recognized for achievements in Climate Change & Environmental Law (2021)
  • πŸ›° NASA ARSET Certification – Awarded for expertise in Spatial Data for Biodiversity (2022)
  • πŸ› UN Environmental Law Certification – Training in Marine Biodiversity & Heritage Protection (2021)
  • πŸ”¬ Multiple International Conference Presentations – On GIS, remote sensing, and forest management (2023-2024)

Publication Top Notes:

🌿 Integrated Approach for Ecological Restoration and Ecological Spatial Network Optimization in Mining Areas  πŸ”— Cited by: 7
🌍 Developing Strategies for Carbon Neutrality Through Restoration of Ecological Spatial Networks in the Thal Desert, Punjab