Amreen Hussain | Optical Sensors | Research Excellence Award

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.

Sungjoon Yoon | Optical Sensors | Research Excellence Award

Prof. Dr. Sungjoon Yoon | Optical Sensors | Research Excellence Award

Kyonggi University | South Korea

Professor Sung-Joon Yoon is a tenured Professor of Marketing and Business Administration at Kyonggi University, South Korea, with an extensive academic career spanning industry, policy research, and higher education. He holds a PhD in Marketing from Wayne State University (USA), an MBA from Purdue University, and a BA in English Language and Literature from Korea University. His research expertise covers digital marketing, consumer behavior, technology readiness, AI-based services, sustainability, tourism marketing, and platform economics. Professor Yoon has published over 30 peer-reviewed articles in leading international journals such as Sustainability, Asia Pacific Journal of Marketing and Logistics, Journal of Retailing and Consumer Services, and Technology in Society, accumulating significant international citations. He actively collaborates with scholars across Asia, Europe, and North America and serves on multiple editorial boards. His research has strong societal impact by informing sustainable consumption, digital innovation, and data-driven marketing policy and practice.

Citation Metrics (Scopus)

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h-index
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Prof. Guanghao Huang | Optical sensors Awards | Best Researcher Award

Prof. Guanghao Huang | Optical sensors Awards | Best Researcher Award

Prof. Guanghao Huang, Qingdao University, China

Dr. Guanghao Huang is an Assistant Professor at the Institute for Future, Qingdao University, where he has served since April 2020. He holds a Ph.D. in Electronics Engineering from Pusan National University, South Korea, and previously earned an M.S. in Cogno-Mechatronics Engineering from the same institution. He also holds a B.Eng. in Electronics Engineering from Jilin Institute of Chemical Technology. Dr. Huang’s research focuses on integrated optical sensors, artificial intelligence, brain-computer interfaces (BCI), and functional near-infrared spectroscopy (fNIRS). He has been recognized with multiple best paper awards and a national scholarship from the Chinese Embassy in South Korea. His work has led to several patents in optical waveguide technologies and polarization devices.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Guanghao Huang

Dr. Guanghao Huang exemplifies research excellence in the fields of integrated optical sensors, brain-computer interfaces (BCI), artificial intelligence, and functional near-infrared spectroscopy (fNIRS). With a robust academic trajectory from Pusan National University and professional experience spanning both academia and industry, Dr. Huang is currently serving as an Assistant Professor at the Institute For Future, Qingdao University.

🎓 Education

  • 🧑‍🎓 Ph.D. in Electronics Engineering, Pusan National University, South Korea (2015.03 – 2020.02)

  • 📘 M.S. in Cogno-Mechatronics Engineering, Pusan National University, South Korea (2012.03 – 2014.08)

  • 💻 B.Eng. in Electronics Engineering, Jilin Institute of Chemical Technology, China (2006.09 – 2010.06)

💼 Work Experience

  • 🧑‍🏫 Assistant Professor, Institute for Future, Qingdao University, China (2020.04 – Present)

  • 🔬 Research Associate, Department of Electronics Engineering, Pusan National University (2014.08 – 2015.03)

  • 🛠️ Engineer, Beijing Rijin Automotive Systems Co., Ltd (2010.03 – 2012.01)

🏆 Patents & Achievements

  • 🔧 Apodized Gratings for Polymeric Waveguide Tunable Wavelength Filters (Patent No. 10-1759727, 2017)

  • 🔧 Integrated Optic Polarization Splitter via Total Internal Reflection (Patent No. 10-2018368, 2017)

  • 🔧 Broadband Integrated Optic Polarization Splitters (Patent No. 10-1923956, 2018)

🥇 Awards & Honors

  • 🇨🇳 2018: National Excellent Self-funded Scholarship (Excellence Award), Chinese Embassy in South Korea

  • 🏅 2017: Best Paper Award, 24th Optoelectronics & Optical Communications Conference

  • 🏅 2016: Best Paper Award, 23rd Optoelectronics & Optical Communications Conference

  • 🏅 2015: Best Paper Award, 24th Photonics Conference

  • 🏅 2013: Best Paper Award, 20th Optoelectronics & Optical Communications Conference

Publication Top Notes:

Development and Characterization of an Asymmetric MZI Temperature Sensor Using Polymer Waveguides for Extended Temperature Measurement Scopes

Physiological Noise Filtering in Functional Near-Infrared Spectroscopy Signals Using Wavelet Transform and Long-Short Term Memory Networks