Dr. Muhammad Asif | Optics | Young Scientist Award

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Dr. Muhammad Asif | Optics | Young Scientist Award

Postdoctoral Researcher | Shenzhen University | China

Dr. Muhammad Asif is a dedicated researcher with recognized expertise in the field of Optics, contributing actively to advancements in electromagnetic wave absorption and photonic device design. His work centers on computational modeling, simulation, and the development of next-generation Optics-based metamaterials, where a strong emphasis is placed on terahertz, infrared, and visible spectrum applications. With progressive contributions in Optics, he remains focused on enhancing absorber performance, improving device efficiency, and strengthening the scientific foundation of materials engineered for communication, sensing, and energy-harvesting technologies. The research record of Dr. Muhammad Asif reflects meaningful outcomes, including innovative ultra-wideband absorber structures that offer enhanced operational bandwidths, marking substantial relevance to modern Optics-driven industries and scientific frameworks. His publications demonstrate international visibility with multiple works featured in high-impact journals related to Optics, photonic materials, and terahertz absorbers, highlighting sustained productivity and scholarly depth. The collaborative efforts of Dr. Muhammad Asif extend globally across premier laboratories and institutions, reinforcing a dynamic research pipeline in applied Optics and computational photonics. He maintains active associations with advanced laboratories working in radio frequency integration, photonic information technologies, and Optics device engineering, where his contributions support technological growth, academic knowledge transfer, and cross-disciplinary innovation. His research outcomes underscore measurable scientific influence not only within theoretical Optics, but also in material engineering, metasurface development, and practical photonic implementation, thereby supporting the progression of sensing platforms, solar absorption systems, and terahertz technologies. This consistent engagement in Optics has positioned him among emerging scholars contributing significantly to the modern wave-interaction landscape through carefully engineered design strategies and simulation-based discoveries. Google Scholar profile of 76 Citations, 5 h-index, 2 i10-index.

Profile: Google Scholar

Featured Publications

1. Abdullah, M., Younis, M., Sohail, M. T., Wu, S., Zhang, X., Khan, K., Asif, M., & Yan, P. (2024). Recent progress of 2D materials‐based photodetectors from UV to THz waves: Principles, materials, and applications. Small, 20(47), 2402668.

2. Asif, M., Munir, R. M., & Wang, Q., Ouyang, Z. (2024). Graphene-based polarization insensitive structure of ultra-wideband terahertz wave absorber. Optical Materials, 154, 115759.

3. Asif, M., Ali, K., Munir, R. M., Anwar, S., Abdullah, M., Ouyang, Z., & Wang, Q. (2024). Ultra-wideband solar absorber via vertically structured GDPT metamaterials. Solar Energy, 282, 112957.

4. Asif, M., Wang, Q., Ouyang, Z., Lin, M., & Liang, Z. (2023). Ultra-wideband terahertz wave absorber using vertically structured IGIGIM metasurface. Crystals, 14(1), 22.

5. Abdullah, M., Younis, M., Sohail, M. T., Asif, M., Jinde, Y., Peiguang, Y., Junle, Q., ... (2025). Recent advancements in novel quantum 2D layered materials hybrid photodetectors from IR to THz: From principles to performance enhancement strategies. Chemical Engineering Journal, 504, 158917.

Prof. Dr. Yangwon Lee | Satellite Remote Sensing | Research Excellence Award

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Prof. Dr. Yangwon Lee | Satellite Remote Sensing | Research Excellence Award

Professor | Pukyong National University | South Korea

Prof. Dr. Yangwon Lee is a distinguished scholar whose work in Satellite Remote Sensing has contributed significantly to the advancement of environmental monitoring and geospatial intelligence. His research integrates Satellite Remote Sensing with artificial intelligence to address critical challenges related to hydrology, agriculture, forestry, meteorology, marine environments, and disaster assessment. Prof. Dr. Yangwon Lee has produced influential studies utilizing Satellite Remote Sensing for flood estimation, soil moisture retrieval, reservoir storage prediction, wildfire detection, marine oil spill monitoring, and atmospheric data gap filling. His extensive publication record demonstrates strong expertise in Satellite Remote Sensing applications that blend machine learning, deep learning, and transformer-based models to extract high quality insights from diverse satellite platforms. Through collaborations across multidisciplinary domains, he has advanced practical uses of Satellite Remote Sensing in real time monitoring, ecological conservation, and sustainable resource management. Prof. Dr. Yangwon Lee has consistently demonstrated leadership in developing automated systems that enhance the accuracy, efficiency, and reliability of Satellite Remote Sensing analytics. His work has strengthened scientific understanding of climate related processes and improved decision making frameworks for environmental agencies through the integration of Satellite Remote Sensing data with meteorological variables and digital elevation models. By expanding methodological innovations in Satellite Remote Sensing, he has contributed to the creation of scalable models that support national and international research communities. The societal relevance of his work is reflected in its direct application to disaster preparedness, agricultural productivity, coastal protection, and environmental restoration efforts where Satellite Remote Sensing plays a central role in timely data driven assessments. Prof. Dr. Yangwon Lee continues to influence the global scientific landscape through impactful publications, sustained research productivity, and progressive approaches to complex environmental challenges empowered by Satellite Remote Sensing. Presented with professional clarity Scopus profile of 1058 Citations, 169 Documents, 15 h index.

Profiles: ORCID | Scopus

Featured Publications

1. Machine Learning-Based Near-Real-Time Monitoring of Wildfire Spread Extent Using GK2A and VIIRS. (2025). Korean Journal of Remote Sensing.

2. Semiautomated sedimentary type classification of seamounts in the Western Pacific using deep-sea camera images. (2025). Geosciences Journal.

3. An optimized LNA utilizing MGA for high performance 24 GHz radar applications. (2025). Analog Integrated Circuits and Signal Processing.

4. Estimation of flood inundation area using Soil Moisture Active Passive fractional water data with an LSTM model. (2025). Sensors.

5. An adaptive 24 GHz PSO-based optimized VCO in next-generation wireless sensor networks. (2025). Applied Sciences.

Dr. Ehsan Adibnia | Photonics | Best Researcher Award

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Dr. Ehsan Adibnia | Photonics | Best Researcher Award

Researcher | University of Sistan and Baluchestan | Iran

Dr. Ehsan Adibnia is a distinguished researcher in electrical engineering whose work exemplifies excellence in the integration of artificial intelligence and photonics. With a citation count of 6,447, an h-index of 45, and an i10-index of 153, his contributions to nanophotonics, plasmonics, and photonics-based optical communication have gained wide recognition. His research explores deep learning applications in photonic design, optical switching, and plasmonic structures, emphasizing the transformative role of photonics in next-generation computing and biosensing technologies. Dr. Adibnia has served as an assistant editor and reviewer for several high-impact journals, contributing to the advancement of global photonics research. His professional experience combines academic rigor and industrial insight, including expertise in programming, simulation tools like Lumerical and COMSOL, and PLC automation. His educational foundation in electrical engineering and his scholarly engagement at the University of Sistan and Baluchestan have provided a platform for innovative exploration in nanophotonics, quantum photonics, and integrated photonic circuits. Recognized for his excellence in photonics-driven design optimization, he has published influential studies on inverse design methods for fiber Bragg gratings, plasmonic resonators, and photonic crystal devices. His research interests span from artificial-intelligence-enhanced photonic structures to optical biosensors and metamaterials, underlining his commitment to interdisciplinary innovation. Through awards, editorial service, and sustained academic leadership, Dr. Adibnia continues to shape the evolving landscape of photonics, positioning his work at the intersection of computation, materials science, and optical engineering, where photonics defines the future of high-speed, intelligent systems.

Profiles: ORCID | Google Scholar

Featured Publications

1. Mirbagheri, M., Adib, E., Hughes, B. R., Waldman, S. D., Banquy, X., & Hwang, D. K. (2019). Advanced cell culture platforms: A growing quest for emulating natural tissues. Materials Horizons, 6(1), 45–71.

2. Esteki, M., Poorali, B., Adib, E., & Farzanehfard, H. (2015). Interleaved buck converter with continuous input current, extremely low output current ripple, low switching losses, and improved step-down conversion ratio. IEEE Transactions on Industrial Electronics, 62(8), 4769–4776.

3. Bahrami, H., Farhangi, S., Iman-Eini, H., & Adib, E. (2017). A new interleaved coupled-inductor nonisolated soft-switching bidirectional DC–DC converter with high voltage gain ratio. IEEE Transactions on Industrial Electronics, 65(7), 5529–5538.

4. Adib, E., & Farzanehfard, H. (2008). Family of zero-current transition PWM converters. IEEE Transactions on Industrial Electronics, 55(8), 3055–3063.

5. Adib, E., & Farzanehfard, H. (2009). Zero-voltage transition current-fed full-bridge PWM converter. IEEE Transactions on Power Electronics, 24(4), 1041–1047.*