Amreen Hussain | Optical Sensors | Research Excellence Award

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Research Excellence Award

Amreen Hussain
Affiliation Institute for Plasma Research, India
Country India
Scopus ID 55814328400
Documents 24
Citations 566
h-index 11
Subject Area Optical Sensors
Event Global Sensor Awards

Amreen Hussain
Institute for Plasma Research, India

Amreen Hussain is a plasma physicist and materials scientist serving as Scientific Officer–E and Assistant Professor (HBNI) at the Institute for Plasma Research (IPR), Gandhinagar, India. Her research focuses on plasma-assisted synthesis of hybrid nanocomposites, perovskite optoelectronic devices, and plasma electrolysis systems for green hydrogen production.

Abstract

This article presents the academic and research profile of Dr. Amreen Ara Hussain, highlighting her contributions to plasma processing, hybrid nanocomposite thin films, perovskite optoelectronic devices, and plasma electrolysis for sustainable hydrogen production. With over 600 citations and significant funded research projects, her work integrates materials science, applied plasma physics, and renewable energy technologies.

Keywords

Plasma Processing; Perovskite Solar Cells; Hybrid Nanocomposites; Optoelectronic Devices; Plasma Electrolysis; Green Hydrogen; Thin Film Deposition; Energy Conversion Materials.

Introduction

Dr. Hussain earned her Ph.D. in Physics from Gauhati University in collaboration with IASST, Assam, in 2017. She has held postdoctoral and faculty positions at IIT Indore, IPR, and UNIST (South Korea). Her academic trajectory demonstrates consistent excellence in plasma-assisted material synthesis and optoelectronic device engineering.

Research Profile

  • 20+ peer-reviewed journal publications
  • 02 patents (1 granted, 1 filed)
  • 04 book chapters (Springer & Elsevier)
  • Multiple nationally funded research projects exceeding INR 1 Crore
  • Reviewer for leading journals including ACS, Wiley, Elsevier, and RSC

Research Contributions

Her research spans plasma-enhanced chemical vapor deposition (PECVD), magnetron sputtering, plasma polymerization, and nanocomposite synthesis. She has pioneered lead-free perovskite photodetectors enabling self-powered broadband response and developed plasma electrolyzers for hydrogen production.

Publications

Dr. Hussain has published in high-impact journals including ACS Applied Materials & Interfaces, Nanoscale, Applied Physics Letters, Journal of Materials Chemistry C, Scientific Reports, and Journal of Materials Science. Her cumulative impact factor exceeds 84 with an average IF of 4.23.

Research Impact

Her contributions to sustainable energy materials and plasma technologies have resulted in 633 citations and an h-index of 11. Her work has been highlighted by Royal Society of Chemistry collections, DST Vigyan Prasar, and multiple scientific media platforms.

Award Suitability

Dr. Hussain is a recipient of the Parvez Guzdar Young Scientist Award (2023) and multiple Best Presenter awards. Her leadership in INSPIRE Faculty projects and plasma-based green hydrogen technologies demonstrates strong eligibility for research excellence awards in energy and advanced materials domains.

Conclusion

Dr. Amreen Ara Hussain’s interdisciplinary expertise in plasma surface engineering and optoelectronic materials positions her among leading researchers advancing sustainable energy solutions through innovative material science and plasma technologies.

References

  1. Hussain, A.A. et al. Publications in ACS Applied Materials & Interfaces, Nanoscale, Applied Physics Letters and related journals (2012–2026).
  2. DST INSPIRE Faculty Award Project Records, Government of India.
  3. Institute for Plasma Research (IPR) Research Reports and Newsletter Highlights.

Prof. Dr. Daniela Dragoman | Plasmonic Sensor Awards | Best Researcher Award

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Prof. Dr. Daniela Dragoman | Plasmonic Sensor Awards | Best Researcher Award

Prof. Dr. Daniela Dragoman, University of Bucharest, Romania

Dr. Daniela Dragoman is a distinguished Romanian physicist and University Professor at the University of Bucharest, where she has been a faculty member since 1990 and a Doctoral Supervisor since 2004. With a Ph.D. in Physics from the University of Limerick, Ireland, and a Dipl. Physics Eng. degree from the University of Bucharest, her expertise spans guided wave optics, nanostructures, quantum computing, and optoelectronic devices. Dr. Dragoman has served as Director of the Doctoral School of Physics since 2011 and has held prestigious research positions in France and Germany, including as an Alexander von Humboldt Fellow and Directeur de Recherche at LAAS-CNRS. Her teaching portfolio covers both undergraduate and postgraduate levels, including courses in nonlinear optics, solar energy materials, and integrated optoelectronics. An accomplished researcher and mentor, she is recognized for her leadership in academic and international research environments.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award – Prof. Daniela Dragoman

Prof. Daniela Dragoman stands out as a highly accomplished and deserving candidate for the Best Researcher Award due to her long-standing academic excellence, leadership in doctoral education, and influential research in the fields of optoelectronics, nanostructures, and quantum physics.

👩‍🏫 Work Experience

  • University Professor (Feb 2001–Present) – University of Bucharest, Romania

    • 🎓 Director, Doctoral School of Physics (since 2011)

    • 👩‍🔬 Doctoral Supervisor (since 2004)

    • 📚 MSc Courses: Quantum Computing, Nanostructures, Nonlinear Optics, Solar Energy Materials, etc.

    • 🧑‍🏫 BSc Courses: Solid State Physics (English)

  • Lecturer / Assistant Lecturer (Oct 1990–Jan 2001) – University of Bucharest

    • 📘 Courses: Advanced Optoelectronic Devices, Solid State Optoelectronics

  • Physics Engineer (Oct 1989–Sept 1990) – IRNE, Piteşti

    • 🔬 Research in pyroelectric devices

  • Visiting Professor & Researcher

    • 🇫🇷 CNRS, Saint-Etienne (1997, 2000) – Research in optics

    • 🇩🇪 Alex. von Humboldt Fellow, Univ. Mannheim (1998–1999, 2001–2002) – Optoelectronics

    • 🇫🇷 Directeur de Recherche, LAAS-CNRS, Toulouse (2008–2010) – Nanostructures

🎓 Education

  • Ph.D. in Physics (1993) – University of Limerick, Ireland 🇮🇪

    • 📡 Specialization: Guided wave optics, modeling of fiber couplers

  • Dipl. Physics Engineer (MSc Equivalent) (1989) – University of Bucharest, Romania 🇷🇴

    • 🌌 Focus: Semiconductors, optics, general physics

🏆 Achievements & Honors

  • 🎖 Alex. von Humboldt Fellowship – Prestigious research grant (Germany)

  • 🌍 International recognition in optoelectronics, nanostructures, and quantum physics

  • 🗣 Taught and collaborated in multinational research environments (France, Germany, Ireland)

  • 🧑‍🔬 Directed numerous Ph.D. students and research teams

  • 📘 Contributed significantly to advanced education and curriculum development in quantum and nano sciences

Publication Top Notes:

Field-effect transistors based on nickel oxide doped with nitrogen semiconductor ferroelectrics for ultralow voltage switch (1 μV), low subthreshold swing and memory

Electric-Field-Induced Metal-Insulator Transition for Low-Power and Ultrafast Nanoelectronics

Graphene Monolayer Nanomesh Structures and Their Applications in Electromagnetic Energy Harvesting for Solving the Matching Conundrum of Rectennas

Room-temperature current modulation by an Y junction in graphene/hexagonal boron nitride

Quantum Graphene Asymmetric Devices for Harvesting Electromagnetic Energy

Demonstration of Microwave Harvesting Through Pyroelectricity in Cryogenic Conditions: A Quantum-to-Experimental Approach

Subthreshold slope below 60 mV/decade in graphene transistors induced by channel geometry at the wafer-scale

On the Transmission Line Analogy for Modeling Plasmonic Nanowire Circuits

Prof. Zhichun Fan | Reflector | Best Sensor Packaging Technology Award

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Prof. Zhichun Fan | Reflector | Best Sensor Packaging Technology Award 

Prof. Zhichun Fan, Jimei University, China

Dr. Zhichun Fan is an Associate Professor and Master’s Supervisor at the College of Ocean Information Engineering, Jimei University, Xiamen, Fujian, China. Recognized as a Category C High-Level Talent in Fujian Province and Xiamen City, he earned his Ph.D. in Nuclear Science and Technology from Tsinghua University and conducted joint doctoral research in Electrical and Computer Engineering at the University of Pittsburgh, supported by the China Scholarship Council. He holds a B.Eng. in Thermal Energy and Power Engineering from China Agricultural University, where he was honored as an Excellent Graduate. Dr. Fan’s research focuses on fiber-optic sensing and imaging technologies, with expertise in fiber Bragg grating (FBG) sensors, distributed acoustic sensing (DAS), and multimode fiber imaging. He has led and participated in numerous national and provincial research projects and has published extensively in high-impact SCI journals and EI-indexed conferences. He holds a PCT international patent and has received awards such as the Best Paper Award at the International Conference on Nuclear Engineering. Dr. Fan welcomes interdisciplinary collaboration and actively mentors students interested in optics, electronic information engineering, and mechanical engineering. Outside academia, he enjoys gaming and fitness, fostering a well-rounded and supportive environment for his students.

Professional Profile:

SCOPUS
ORCID

Summary of Suitability

Dr. Zhichun Fan is a highly qualified candidate for the Best Sensor Packaging Technology Award due to his pioneering contributions to fiber-optic sensor integration, hermetic packaging, and structural health monitoring in harsh and high-risk environments. His interdisciplinary expertise spans optics, nuclear systems, signal processing, and materials engineering, making his work both academically rigorous and practically impactful.

🎓 Education

  • Ph.D. in Nuclear Science and Technology
    Tsinghua University, China (2016.09 – 2021.06)

  • Joint Ph.D. in Electrical and Computer Engineering
    University of Pittsburgh, USA (2019.11 – 2020.10, CSC-funded) 🌏

  • B.Eng. in Thermal Energy and Power Engineering
    China Agricultural University (2012.09 – 2016.06)
    🏅 Honored as an Excellent Graduate of Beijing & CAU

💼 Work Experience

  • Associate Professor / Master’s Supervisor
    College of Ocean Information Engineering, Jimei University (2021.08 – Present)
    🏫 Room 410, Keli Building, Jimei University, Xiamen

🧠 Research Areas

  • Fiber Bragg Grating (FBG) Sensors 📈

  • Distributed Acoustic Sensing (DAS) 🔊

  • Multimode Fiber Imaging 🔬

  • Optical Signal & Information Processing 💡

🧪 Notable Projects (as PI)

  • Fiber Endoscopic Tumor Imaging Tech – Fujian Key Lab (2025–2027) 🧬

  • Crack Monitoring in Metallic Glass Seals – Fujian NSF Youth Project (2022–2025)

  • Non-uniform Strain Failure Analysis – Xiamen NSF (2022–2025)

  • Strain Monitoring in Nuclear Glass Seals – Fujian Education Dept. (2021–2024) ⚙️

📚 Achievements & Publications

  • 📰 9+ SCI Papers as First or Corresponding Author, incl.:

    • Cover Article: “Residual Stress in Electrical Penetration Assembly”

    • “Ultra-Broadband Absorber via MgF₂-Fe Optimization”

    • “Real-Time Monitoring of Glass-to-Metal Seals”

  • 🏆 Best Paper Award – 26th International Conference on Nuclear Engineering (EI Conference)

  • ✍️ Multiple Co-authored Publications in SCI/EI Journals

🧾 Granted Patents

  • PCT International Patent
    Electrical Penetration Assembly and its Manufacturing Method 🔧🔍

🏅 Awards & Honors

  • 🎖️ Category C High-Level Talent – Fujian Province / Xiamen City

  • 🎓 Excellent Graduate – Beijing & China Agricultural University

Publication Top Notes:

Online Condition Monitoring of Gantry Cranes Based on Integrated Optical Fiber Sensing System

Strain rebound and inhomogeneity in glass-to-metal seals: Radial vs axial strain evolution

Fingerprint detection in the mid-infrared region based on guided-mode resonance and phonon-polariton coupling of analyte

On-line monitoring of sealing glass in electrical penetration assembly based on femto-laser inscribed fiber Bragg grating sensors

Analysis of Residual Stress in Electrical Penetration Assembly Based on a Fiber Bragg Grating Sensor

Prof. Amir Ali | Optical Transducers | Best Researcher Award

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Prof. Amir Ali | Optical Transducers | Best Researcher Award 

Prof. Amir Ali, German University in Cairo – GUC, Egypt

Dr. Amir R. Ali is an Associate Professor and Director of the ARAtronics Group at the German University in Cairo (GUC), where he leads the Applied-Science & Robotics Laboratory for Applied Mechatronics. He holds a Ph.D. in Mechanical and Mechatronics Engineering from Southern Methodist University, USA, specializing in dielectric micro-resonator-based optomechanical systems for sensing applications. His expertise spans mechatronic systems, robotics, and smart control technologies. Dr. Ali has received numerous awards, including the National Instruments Award (NIDays), the Notable Alumni Award from SMU, and recognition from the Egyptian Engineers Syndicate. His research contributions and dedication to academia have earned him national and international acclaim.

Professional Profile:

GOOGLE SCHOLAR

Suitability for the Best Researcher Award

Dr. Amir R. Ali is a highly qualified and accomplished researcher in the field of Mechatronics, with a strong academic background, extensive research contributions, and multiple prestigious awards. His expertise in dielectric micro-resonator-based optomechanical systems, flexible robotics, and sensing applications aligns well with cutting-edge advancements in engineering.

📚 Education:

🎓 Ph.D. (2011 – 2015) – Dielectric Micro-Resonator-Based OptoMechanical Systems for Sensing Applications, GPA: 3.962
📍 Southern Methodist University, USA

🎓 M.Sc. (2008 – 2010) – Mechatronics Systems and Control [Flexible Robot Manipulators], GPA: 4.00
📍 German University in Cairo, Egypt

🎓 B.Sc. (2002 – 2007) – Mechatronics Systems and Control [Smart Systems], GPA: 3.88
📍 October 6 University, Egypt

💼 Work Experience:

👨‍🏫 Associate Professor – Mechatronics Engineering Department, German University in Cairo (GUC)
🧑‍🔬 Director & Principal Investigator – ARAtronics Group (Applied-Science & Robotics Laboratory for Applied Mechatronics)

🏆 Honors & Awards:

📜 Appreciation Award – Journal of Optical Engineering for volunteer reviewing (2019)
🏅 National Instruments Award (NIDays) – Academic & Research Track (2017, Beirut, Lebanon)
🎖️ Notable Alumni Award – Southern Methodist University (Fall 2017)
🏅 National Instruments Award (NIDays) – Academic & Research Track (2016, Cairo, Egypt)
🥇 Dedication Award – Egyptian Engineers Syndicate for Ph.D. research & publications (2015)
🚀 Entrepreneurship Award – US-INDIA Chamber of Commerce, Spirit of Innovation (2014, Dallas-Fort Worth)
🎓 Egyptian Government Award for Excellence in Undergraduate Studies – Five years in a row (2002-2007)

Publication Top Notes:

Effect of angular velocity on sensors based on morphology dependent resonances

CITED:56

Photonic electric field sensor based on polymeric microspheres

CITED:44

High-resolution electric field sensor based on whispering gallery modes of a beam-coupled dielectric resonator

CITED:32

Nonlinear modeling and control of flexible-link manipulators subjected to parametric excitation

CITED:24

Micro-optical vibrometer/accelerometer using dielectric microspheres

CITED:23

Assoc Prof Dr. Xiangmin Hu | Optical Sensing Award | Best Researcher Award

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Assoc Prof Dr. Xiangmin Hu | Optical Sensing Award | Best Researcher Award

Assoc Prof Dr. Xiangmin Hu, Dalian University of Technology, China

Dr. Xiangmin Hu is an Associate Professor at Dalian University of Technology, China, with a strong background in intelligent sensing, optoelectronic devices, and hyperspectral imaging (HSI). He earned his B.S. degree in Applied Physics and M.S. degree in Physics from Beijing Institute of Technology, followed by a Ph.D. in Mechanical Engineering from Tsinghua University. His research focuses on combining artificial intelligence with optical research, particularly in HSI technology and systems. Dr. Hu has made significant contributions to the field, including enhancing detection capabilities of nanoscale defects using image processing algorithms, developing innovative spectrometer technology, and applying machine learning to improve quantum dot light-emitting diodes (QLEDs). He has published 18 research papers with over 2,000 citations and an H-index of 8. His work has earned him six national patents (four authorized) and several prestigious awards, including the Youth Fund of the National Natural Science Foundation of China and the Postdoctoral Science Foundation of China. Prior to his academic career, he worked as an AI algorithm engineer at BYD Company.

Professional Profile:

 

Summary of Suitability for Best Researcher Award:

Dr. Xiangmin Hu is a highly accomplished researcher specializing in intelligent sensing/detection, optoelectronic devices, and hyperspectral imaging (HSI). His multidisciplinary research spans artificial intelligence (AI), materials science, and optoelectronic sensing, making him a strong contender for the Best Researcher Award. Below are key factors supporting his eligibility:

Education:

  • 2009.09 – 2013.06: B.S. degree in Applied Physics, Beijing Institute of Technology.
  • 2013.09 – 2016.03: M.S. degree in Physics, Beijing Institute of Technology.
  • 2018.09 – 2022.06: Ph.D. degree in Mechanical Engineering, Tsinghua University.

Work Experience:

  • 2016.11 – 2018.01: AI Algorithm Engineer, BYD Company.
  • 2022.07 – 2024.09: Post-doctoral Researcher, Beijing Institute of Technology.
  • 2024.09 – Present: Associate Professor, Dalian University of Technology.

Publication top Notes:

Miniature spectrometer based on graded bandgap perovskite filter

Machine Learning Correlating Photovoltaics and Electroluminescence of Quantum Dot Light-Emitting Diodes

Ligand Exchange-Induced Shape Transformation of CsPbBr3 Nanocrystals Boosts the Efficiency of Perovskite Light-Emitting Diodes

The warming-up effects of quantum-dot light emitting diodes: A reversible stability issue related to shell traps

Machine Learning Assisted Stability Analysis of Blue Quantum Dot Light-Emitting Diodes