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.

Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award

Dr. Mojtaba Ahmadieh khanesar | Metrology | Best Researcher Award 

Dr. Mojtaba Ahmadieh khanesar | Metrology | University of Nottingham | United Kingdom

Dr. Mojtaba Ahmadieh Khanesar is a distinguished research fellow in optical metrology and machine learning at the Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham. He holds a Ph.D. in Control Engineering from K. N. Toosi University of Technology and has extensive experience in metrology, robotics, control systems, artificial intelligence, and machine learning. Throughout his career, Dr. Khanesar has contributed to internationally recognized projects funded by EPSRC, including Robodome imaging for high-performance aerostructures, HARISOM for precise industrial robot manipulation, and Chattyfactories for next-generation industrial systems, demonstrating proficiency in experimental design, data acquisition, and real-time control using advanced robotics platforms such as UR5, Baxter, Sawyer, and laser tracking systems. He has also supervised Ph.D. and undergraduate students, providing mentorship in control, robotics, and machine learning projects, and delivered lectures on Bayesian learning and reinforcement learning at the University of Nottingham. Dr. Khanesar has held research and teaching positions across Denmark, Turkey, Iran, and the United Kingdom, reflecting his global research engagement and collaborative approach. His research has been widely published, with 112 documents, 2,377 citations, and an h-index of 25, including publications in high-impact journals such as IEEE Transactions, Robotics, Mechanism and Machine Theory, and Sensors. His professional affiliations include SMIEEE, MIET, and MASME, highlighting his recognized standing in international technical communities.

Professional Profile: ORCID | Scopus

Selected Publications 

  1. Ahmadieh Khanesar, M. (2025). Inkjet printing of ZIF-67 based-polymer composite membranes. Separation and Purification Technology. 0 citations.

  2. Ahmadieh Khanesar, M. (2025). Multi-Objective Intelligent Industrial Robot Calibration Using Meta-Heuristic Optimization Approaches. Robotics. 0 citations.

  3. Ahmadieh Khanesar, M. (2025). Virtual Instrument for a Multi-illumination Dome System. Conference Paper. 0 citations.

  4. Ahmadieh Khanesar, M. (2023). Precision Denavit–Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches. Sensors, Basel, Switzerland. 25 citations.

  5. Ahmadieh Khanesar, M. (2023). A Neural Network Separation Approach for the Inclusion of Static Friction in Nonlinear Static Models of Industrial Robots. IEEE ASME Transactions on Mechatronics. 9 citations.