Piumantha Samaranayake | Gas Sensors | Best Researcher Award

Mr. Piumantha Samaranayake | Gas Sensors | Best Researcher Award

Demonstrator, University of Ruhuna Sri Lanka

Piumantha Dilnuwan Samaranayake is an undergraduate student in Physics at the University of Ruhuna, Sri Lanka, specializing in theoretical studies for gas sensing applications. He is working on his research project focused on the adsorption interactions of toxic gases with PdO-Graphene composites for gas sensor applications. Piumantha has a keen interest in computational modeling and electronic systems and has been involved in various teaching and voluntary activities at his university. He has contributed significantly to physics-related exhibitions and innovation events, fostering student engagement in science and technology. His goal is to further explore the potential of computational physics in solving real-world problems.

Publication Profile

Scholar

šŸŽ“ Education

B.Sc. Honors in Physics (2019-2024): University of Ruhuna, Sri Lanka; GPA of 3.27. Relevant courses: Electronics, Quantum Mechanics, Statistical Mechanics, Solid-State Physics, Computational Physics.

šŸ’¼ Experience

Teaching Assistant (Current): University of Ruhuna; Supervising General Physics Laboratory, Electronics Laboratory, and Engineering Workshop. Undergraduate Research Project: Investigating PdO-Graphene composites for gas sensing of toxic gases using Density Functional Theory. Voluntary Roles: Member of Physics Society and Ruhuna Invention and Innovation Club, organizing events like “Stella Night Astro Camp” and “Sahasak Nimavum”.

šŸ† Awards & Honors

Research Publication: “Theoretical Study of CO, NO, NO2, Cl2, and H2S Adsorption Interactions with PdOā€“Graphene Composites for Gas Sensor Applications” published in Micromachines (2025). Active participant and organizer in Physics Exhibitions and Innovation Events.

šŸ”¬ Research Focus

Piumanthaā€™s research explores the use of PdO-Graphene composites in gas sensors for detecting toxic gases like CO, NO, NO2, Cl2, and H2S. Using Density Functional Theory (DFT), he investigates the interactions between gas molecules and graphene, aiming to improve gas sensing properties. His work focuses on understanding adsorption mechanisms, binding energies, and charge transfer, contributing to the development of efficient toxic gas sensors.

Conclusion

Piumanthaā€™s innovative research, technical skills, and community involvement make him a strong contender for the Best Researcher Award. By diversifying his research collaborations and expanding his global presence, he is poised to make significant contributions to science and technology in the years ahead.

Publication Top Notes

Title: Theoretical Study of CO, NO, NO2, Cl2, and H2S Adsorption Interactions with PdOā€“Graphene Composites for Gas Sensor Applications
Authors: P. Samaranayake, A. Ahamed, V. Silva, N.M. Wickramage, M.R.R. Kooh, and others
Published in: Micromachines, Vol. 16 (1), Article 9
Year: 2024

 

 

 

 

Muhammad Amjad Iqbal | Remote Sensing |Young Scientist Award

Dr. Muhammad Amjad Iqbal | Remote Sensing |Young Scientist Award

Postdoctoral Researcher at CEOSpaceTech Research Center for Spatial Information, Romania

Dr. Muhammad Amjad Iqbal is a skilled researcher in remote sensing and signal processing, with a focus on oceanography, SAR imaging, and target detection. He holds a PhD from the National University of Science and Technology (NUST), Romania. With research experience across multiple countries, including Romania, Germany, Spain, and China, he specializes in compressive sensing and high-resolution radar imaging. Dr. Iqbal has contributed to various scientific publications and has worked on geocoded sea ice coverage, ship detection, and coastline engineering. His expertise spans across SAR, ISAR, and mm-wave imaging, alongside his development of novel radar algorithms.

Publication Profile

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Scholar

šŸŽ“Education

PhD: Electronics Telecommunication Technology, NUST POLITEHNICA of Bucharest (2023) . MS: Communication and Information Systems Engineering, Nanjing University of Science and Technology (2020) . BSc: Electrical Engineering (Telecommunication), Government College University Faisalabad (2015)

šŸ’¼Experience

Research Assistant: University of Naples, Italy (Dec 2023 ā€“ Nov 2024). Research Assistant: CEOSpaceTech Lab, NUST POLITEHNICA, Romania (Jan 2021 ā€“ Dec 2023). Software Test Engineer: CIENET Technologies, China (July 2019 ā€“ Dec 2019). Lab Engineer: Bahauddin Zakariya University, Pakistan (Feb 2017 ā€“ Sep 2017)

šŸ†Awards and Honors

Early Career Research Award: SERB (2017). Research Excellence Award: GEU, India (2015). DST Travel Grant: USA (2012). Best Paper Presentation Award: TriboIndia 2023 . Member: IAAM (5 years)

šŸ”¬Research Focus

Dr. Iqbal’s research focuses on advanced radar imaging, particularly synthetic aperture radar (SAR), inverse SAR, and compressive sensing. He specializes in high-resolution imaging techniques for target detection, ice-cover delineation, and ocean surface current estimation. His work involves using SAR and ISAR data for applications in environmental monitoring, including sea ice and coastline engineering. Dr. Iqbal aims to improve radar imaging algorithms for accurate environmental analysis and monitoring. šŸŒ

Conclusion

Dr. Muhammad Amjad Iqbal is a highly skilled researcher whose contributions to the field of remote sensing, particularly in ocean and ice-cover monitoring, have proven impactful. His innovative research in radar imaging, target detection, and signal processing, coupled with international experience and multiple high-quality publications, makes him an excellent candidate for the Young Scientist Award. With continued growth in public engagement and interdisciplinary collaborations, he is poised to make even greater contributions to the scientific community.

Publications

  1. Title: Coastline extraction from SAR data using Doppler centroid images
    Year: 2022
    Authors: MA Iqbal, A Anghel, M Datcu
    Citations: 14

 

  1. Title: Doppler centroid estimation for ocean surface current retrieval from Sentinel-1 SAR data
    Year: 2022
    Authors: MA Iqbal, A Anghel, M Datcu
    Citations: 8

 

  1. Title: On the de-ramping of SLC-IW Tops SAR data and ocean circulation parameters estimation
    Year: 2022
    Authors: MA Iqbal, A Anghel, M Datcu
    Citations: 7

 

  1. Title: Towards Complex-Valued Deep Architectures with Data Model Preservation for Sea Surface Current Estimation from SAR Data
    Year: 2023
    Authors: MA Iqbal, R Mohammadi Asiyabi, O Ghozatlou, A Anghel, M Datcu
    Citations: 4

 

  1. Title: Exploiting Inverse SAR Images and Dual-Pol Decomposition for the Estimation of Tree Scattering Properties
    Year: 2023
    Authors: MA Iqbal, A Anghel, M Datcu, A Bathelt, S Sieger
    Citations: 4

 

  1. Title: Assessment of mm-Wave High Resolution Inverse SAR Imaging both with Compact and Sparse Data
    Year: 2023
    Authors: MA Iqbal, A Anghel, M Datcu, I Ederra, JC Iriarte
    Citations: 3

 

  1. Title: 3-D localization of UAV and detection based on harmonics index and spectral entropy criteria
    Year: 2020
    Authors: MA Iqbal, Z Zhao, X ZhiYong, SU Rehman
    Citations: 2

 

  1. Title: Coarse-to-fine estimation: Compressive sensing for high-resolution inverse SAR imaging
    Year: 2024
    Authors: MA Iqbal, MH Conde, A Anghel, M Datcu
    Citations: 1

 

  1. Title: Ice Cover Delineation Over Devon Iceland Using Sentinel Polarimetric SAR and Optical Data
    Year: 2023
    Authors: MA Iqbal, A Anghel, M Datcu
    Citations: 1

 

  1. Title: Feature extraction and classification of UAVā€™s acoustic signal using 4-microphones array in a real noisy environment
    Year: 2019
    Authors: MA Iqbal, SU Rehman
    Citations: 1

 

Michael | Geological Remote Sensing | Best Researcher Award

Mr. Michael | Geological Remote Sensing | Best Researcher Award

University of Electronic Science and Technology of China,Ā  China

Michael Appiah-Twum, a geoscientist, combines Artificial Intelligence and Machine Learning with advanced remote sensing to revolutionize natural resources and environmental management. He specializes in geospatial data analysis for geological surveys, mineral exploration, petroleum exploration, and environmental monitoring. With a solid foundation in geology, geophysics, and geochemistry, Michael integrates cutting-edge AI technologies for sustainable development. Currently pursuing a Ph.D. in Information and Communication Engineering at the University of Electronic Science and Technology of China, he excels in developing innovative AI-driven solutions for geological interpretation and resource management.

Profile

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Scholar

šŸŽ“ Education

Ph.D. in Information and Communication Engineering: University of Electronic Science and Technology of China (2020-Present); GPA: 3.52/4.0. Thesis: Deep Learning-based Multisource Geological Interpretation. M.Sc. in Information and Communication Engineering: University of Electronic Science and Technology of China (2020); GPA: 3.51/4.0. Thesis: Remote Sensing and Geological Survey of Gold Deposits. B.Sc. in Earth Science: University for Development Studies, Ghana (2014). Thesis: Atlas of Laterite and Exploration Implications.

šŸ§‘ā€šŸ« Experience

Researcher: Yangtze Delta Region Institute, UESTC (2022ā€“Present) ā€“ Conducting AI/ML research for geological data analysis and mineral exploration. Course Instructor: UESTC (2023) ā€“ Designed curricula and taught Remote Sensing in Resources and Environment. Teaching Assistant: UESTC (2022ā€“2023) ā€“ Conducted tutorials, guided projects, and mentored students in Remote Sensing. VIP Member: UESTC Green Club (2018ā€“2020) ā€“ Advocated sustainable agriculture and environmental awareness. Electoral Official: Electoral Commission of Ghana (2015) ā€“ Managed polling operations during elections.

šŸ† Awards and Honors

Top Ranked Ph.D. Student: University of Electronic Science and Technology of China (2020-Present). Graduate Student Member: IEEE Geoscience and Remote Sensing Society. Top Ranked M.Sc. Student: UESTC, Chengdu (2020). Research Excellence: Developed advanced geological interpretation models using AI/ML. Leadership Recognition: UESTC Green Club VIP for promoting sustainability and environmental stewardship.

šŸ”¬ Research Focus

Geological Surveys: Using remote sensing for mineral and petroleum exploration. AI/ML Applications: Implementing deep learning for geological and environmental data interpretation. Geospatial Analysis: Advanced modeling for resource exploration and sustainable development. Hydrology and Regolith: Focused on soil mechanics and hydrogeology for environmental management. Remote Sensing Integration: Leveraging UAVs and satellite imagery for accurate geoscientific data visualization.

ConclusionĀ 

Michael Appiah-Twum is undoubtedly a strong contender for the Best Researcher Award, given his exceptional research in remote sensing, AI/ML applications, and resource management. His technical proficiency, leadership in academic settings, and dedication to sustainability make him a highly deserving candidate. With minor improvements in interdisciplinary collaboration and global outreach, his impact on the geoscience field could expand even further, contributing to more innovative and sustainable solutions in the industry.

šŸ“šPublicationsĀ 

  1. Spatial distribution and trace element geochemistry of laterites in Kunche area: Implication for gold exploration targets in NW, Ghana
    Authors: E.D. Sunkari, M. Appiah-Twum, A. Lermi
    Journal: Journal of African Earth Sciences, 158, 103519 (2019)
    Citations: 34

 

  1. Data Centric Blockchain-Based Evaluation Approach to Analyze E-Commerce Reviews Using Machine and Deep Learning Techniques
    Authors: E.M. Acheampong, S. Zhou, Y. Liao, P. Atandoh, D. Addo, E. Antwi-Boasiako, et al.
    Conference: 2023 20th International Computer Conference on Wavelet Active Media
    Citations: 1

 

  1. Enhanced Word Embedding with CNN Using Word Order Information for Sentiment Analysis
    Authors: P. Atandoh, Z. Fengli, P.A. Hakeem, E.M. Acheampong, D. Addo, et al.
    Conference: 2023 20th International Computer Conference on Wavelet Active Media
    Citations: 1

 

  1. Assessing Landsat-9 in Identifying Lithology Using a Hybrid Metric-Learning and SVM Method Against Baseline Algorithms: A Case Study of the West African Craton
    Authors: M. Appiah-Twum, H. Jia, W. Xu
    Conference: IGARSS 2023 – IEEE International Geoscience and Remote Sensing Symposium
    Citations: 1

 

  1. Using Laterite Geochemistry for Exploration of Orogenic Gold Deposits in the Wa-Lawra Belt, NW Ghana: Kunche in Perspective
    Authors: E.D. Sunkari, M. Appiah-Twum, A. Lermi
    Journal: Niğde Ɩmer Halisdemir Ɯniversitesi MĆ¼hendislik Bilimleri Dergisi, 7(3), 1137 (2018)
    Citations: 1

 

  1. DenseViT: A Hybrid CNN-Vision Transformer Model for an Improved Multisensor Lithological Classification
    Authors: M. Appiah-Twum, W. Xu, E.M. Acheampong
    Conference: IGARSS 2024 – IEEE International Geoscience and Remote Sensing Symposium (2024)

 

  1. An Attention-Based LSTM Lithological Classification Using Multisensor Datasets
    Authors: M. Appiah-Twum, W. Xu
    Conference: IGARSS 2024 – IEEE International Geoscience and Remote Sensing Symposium (2024)

 

  1. Lithological Classification Using Densely Connected Convolution Network on Landsat-9 and Aster Datasets in a Semi-Arid Environment
    Authors: M. Appiah-Twum, X. Wenbo, C.B. Mawuli, P. Atandoh
    Conference: 2023 20th International Computer Conference on Wavelet Active Media (2023

 

Hui Zhang | Environmental Science | Best Researcher Award

Assoc. Prof. Dr. Hui Zhang | Environmental Science | Best Researcher Award

Assoc. Prof. Dr at School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, China

Assoc. Prof. Dr. Zhang is a distinguished researcher at the School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, China. With more than 60 publications in renowned journals such as Waste Management, Resources, Conservation & Recycling, and Nature Communications, Dr. Zhang focuses on environmental management in urban ecosystems, particularly using Life Cycle Assessment (LCA) and material flow analysis. His work spans carbon mitigation strategies for food waste, municipal solid waste (MSW), and construction waste, often integrating advanced information and resource realization technologies.

Profile

Scopus

šŸŽ“ Education

Dr. Zhang holds a Ph.D. in Environmental Science from a prestigious university in China. He completed his undergraduate studies in chemistry and environmental engineering, followed by advanced graduate research in urban ecosystem environmental management. His research is rooted in developing sustainable solutions for waste management, environmental impact reduction, and resource recovery.

šŸ§‘ā€šŸ« Experience

Assoc. Prof. Dr. Zhang has taught and mentored students at the Wuhan Institute of Technology, focusing on environmental engineering, waste management, and sustainable technologies. His academic career includes leading several impactful research projects in urban waste reduction, contributing to numerous international studies. He has also collaborated extensively with governmental bodies and research institutions on environmental policies.

šŸ† Awards and Honors

Dr. Zhang has received multiple accolades for his research excellence, including the Best Paper Award in several international conferences. He was recognized for his contributions to environmental science, receiving the Early Career Researcher Award from the Chinese Environmental Science Association and numerous research funding awards.

šŸ”¬ Research Focus

Dr. Zhangā€™s research focuses on urban ecosystem environmental management, with a particular emphasis on carbon mitigation solutions for food waste, MSW, and construction waste. He employs LCA and material flow analysis, alongside emerging technologies, to assess the environmental impacts of urban waste. His studies explore sustainable methods for waste reduction and resource recovery, aiming to reduce China’s rapidly growing food waste issues.

šŸ†ConclusionĀ 

Dr. Zhang is an exceptional researcher whose work in urban waste management, environmental impact assessment, and sustainable technology solutions is highly relevant to contemporary environmental challenges. His significant contributions to the field, evidenced by his extensive publication record and influential research on food waste reduction, solidify his suitability for the Best Researcher Award. By continuing to expand his interdisciplinary collaborations and broadening the scope of his research, Dr. Zhang has the potential to make even greater contributions to global environmental sustainability. He is undoubtedly a leading figure in his field and a strong candidate for the award.

šŸ“šPublicationsĀ 

  1. The effects of an online food waste reduction platform in university canteens in Wuhan, China
    • Year: 2024
    • Authors: Du, W., Xue, L., Xu, D., Chen, J., Zhang, H.

 

  1. Characterization, environmental impact, and reduction strategies for the delivery food waste generated by urban and township residents in Jiuquan, China
    • Year: 2024
    • Authors: Sun, C., Zhang, H.

 

  1. Research on the relationship between carbon performance and financial performance of electric power enterprises under the background of ā€œdual carbonā€
    • Year: 2024
    • Authors: He, J., Huang, Z., Fan, X., Zhao, Y., Zhang, C.

 

  1. The impact of environmental regulation on regional economic growth: A case study of the Yangtze River Economic Belt, China
    • Year: 2023
    • Authors: He, J., Huang, Z., Fan, X., Zhou, R., Song, M.

 

  1. Material identification and heavy metal characteristics of plastic packaging bags used in Chinese express delivery
    • Year: 2023
    • Authors: Jiang, Y., Song, G., Zhang, H.

 

  1. Characteristics of Soil Organic Carbon in Croplands and Affecting Factors in Hubei Province
    • Year: 2022
    • Authors: Miao, J., Xie, T., Han, S., Song, M., He, L.

 

  1. Quantification of the carbon emission of urban residential buildings: The case of the Greater Bay Area cities in China
    • Year: 2022
    • Authors: Geng, J., Wang, J., Huang, J., Duan, H., Zhang, W.

 

  1. Food delivery waste in Wuhan, China: Patterns, drivers, and implications
    • Year: 2022
    • Authors: Zhang, H., Xue, L., Jiang, Y., Wei, D., Liu, G.

 

  1. Emergency management of medical wastewater in hospitals specializing in infectious diseases: A case study of Huoshenshan Hospital, Wuhan, China
    • Year: 2022
    • Authors: He, J.-J., Zhao, S.-S., Zhang, H., Li, Q., Fu, W.-X.

 

  1. Low-carbon pathways for the booming express delivery sector in China
    • Year: 2021
    • Authors: Kang, P., Song, G., Xu, M., Zhong, R., Duan, H

 

Bo Zhu | Environmental Microbiology | Best Researcher Award

Dr. Bo Zhu | Environmental Microbiology | Best Researcher Award

Associate Professor at Shanghai Jiao Tong University,Ā  China

Bo Zhu is an associate professor and vice dean at the School of Agriculture and Biology, Shanghai Jiao Tong University. He completed his B.S. and Ph.D. at Zhejiang University. His research primarily focuses on bacterial pathogenesis, non-coding RNAs, and horizontal gene transfer in phytopathogens. He has worked as a postdoctoral researcher at prestigious institutions such as Zhejiang University, KU Leuven (Belgium), and the University of Tokyo (Japan). Bo Zhu is dedicated to advancing biocontrol methods for plant diseases and improving agricultural resources through cutting-edge research and teaching.

Profile

Scopus

Orcid

Education šŸŽ“

Bo Zhu earned his B.S. in 2004 and Ph.D. in 2010 from Zhejiang University. His academic journey laid the foundation for his groundbreaking research in bacterial pathogenesis, RNA editing, and plant immunity. His doctoral work provided significant contributions to understanding bacterial genetic processes, leading to multiple postdoctoral fellowships in internationally renowned institutions such as Zhejiang University, KU Leuven (Belgium), and the University of Tokyo (Japan).

Experience šŸ§‘ā€šŸ«

Bo Zhu began his academic career as a postdoctoral researcher at Zhejiang University in 2012 and further advanced his expertise at KU Leuven and the University of Tokyo. He joined Zhejiang Sci-Tech University as an assistant professor in 2017 before moving to Shanghai Jiao Tong University in 2023, where he became a tenured associate professor and vice dean of the School of Agriculture and Biology. His career reflects a consistent trajectory toward leadership in agriculture and biological sciences.

Awards and Honors šŸ†

Bo Zhu has received several prestigious awards, including the Shanghai Jiao Tong University Outstanding Class Advisor Fund, the Teaching Development Fund, and a Poster Award at the Chinese Doctoral Forum. He was also honored with the Second Prize for Excellent Graduate Student at Zhejiang University. Additionally, his work has been recognized with research funding and accolades, including the Shanghai Super Postdoctoral Fellowship and a National Scholarship for Postgraduate Students awarded to one of his trainees.

Research Focus šŸ”

Bo Zhuā€™s research primarily explores bacterial A-to-I RNA editing and its role in bacterial pathogenesis, specifically in enhancing bacterial oxidative stress tolerance and antibiotic resistance. He also investigates non-coding RNAs in plant immunity and bacterial stress responses. His team is focused on understanding horizontal gene transfer in plant pathogens, aiming to develop novel biocontrol methods for rice bacterial diseases. Additionally, Zhu is building an A-to-I RNA editing site database and studying multidrug-resistant pathogens to combat the global rise in antibiotic resistance.

Conclusion

Bo Zhu stands out as a strong contender for the Best Researcher Award due to his innovative, interdisciplinary research in microbial genomics and plant pathogenesis. His pioneering work on A-to-I RNA editing and non-coding RNAs in bacterial pathogenesis addresses critical challenges in modern agriculture and medicine. With his leadership in academia and contributions to advancing scientific knowledge, Bo Zhu is a deserving candidate for this prestigious recognition. Continued efforts to bridge the gap between research and practical applications could further enhance his already impressive impact.

Publications šŸ“š

  1. Title: Spread of antibiotic resistance genes in drinking water reservoirs: Insights from a deep metagenomic study using a curated database
    Year: 2024
    Authors: Sai Wang, Wenhan Nie, Qing Gu, ēŽ‹č°¢, Danping Yang, Hongyu Li, Peihong Wang, Weixue Liao, Jin Huang, Quan Yuan et al.

 

  1. Title: Suppression of host plant defense by bacterial small RNAs packaged in outer membrane vesicles
    Year: 2024
    Authors: Yan Wu, Sai Wang, Peihong Wang, Wenhan Nie, Iftikhar Ahmad, Panagiotis F. Sarris, Gongyou Chen, Bo Zhu

 

  1. Title: Methylomonas defluvii sp. nov., a type I methane-oxidizing bacterium from a secondary sedimentation tank of a wastewater treatment plant
    Year: 2024
    Authors: Ming-Yan Ouyang, Sai Wang, Wen-Han Nie, Pei-Hong Wang, Wei-Xue Liao, Xiao-Hui Liu, Si-Si Lin, Rong-Peng Lin, Gong-You Chen, Bo Zhu et al.

 

  1. Title: Potentiation of host defense through sRNA packaged in OMVs of Xanthomonas oryzae pv. oryzicola
    Year: 2023
    Authors: Yan Wu, Sai Wang, Peihong Wang, Wenhan Nie, Iftikhar Ahmad, Gongyou Chen, Bo Zhu

 

  1. Title: Next Generation Sequencing and Comparative Genomic Analysis Reveal Extreme Plasticity of Two Burkholderia glumae Strains HN1 and HN2
    Year: 2022
    Authors: Sai Wang, Wenhan Nie, Ayizekeranmu Yiming, Peihong Wang, Yan Wu, Jin Huang, Iftikhar Ahmad, Gongyou Chen, Longbiao Guo, Bo Zhu

 

  1. Title: Micro-synteny conservation analysis revealed the evolutionary history of bacterial biphenyl degradation pathway
    Year: 2022
    Authors: Raqeeb Ullah, Bo Zhu, Kaleem U. Kakar, Zarqa Nawaz, Muhammd Mushtaq, Taimoor Shah Durrani, Zia Ul Islam, Faheem Nawaz

 

  1. Title: Genome Resource of Ancylobacter pratisalsi E130T: A Novel Plant-Growth-Promoting Bacterium Isolated from the Rhizosphere
    Year: 2022
    Authors: Wenhan Nie, Xin Zheng, Sai Wang, Iftikhar Ahmad, Bo Zhu

 

  1. Title: Identification and Characterization of Rice Circular RNAs Responding to Xanthomonas oryzae pv. oryzae Invasion
    Year: 2022
    Authors: Peihong Wang, Sai Wang, Yan Wu, Wenhan Nie, Ayizekeranmu Yiming, Jin Huang, Iftikhar Ahmad, Bo Zhu, Gongyou Chen

 

  1. Title: Genome Resource of Pseudomonas chlororaphis L5734: A Bacterium Antagonistic to the Mulberry Gray Mold Pathogen Botrytis cinerea
    Year: 2022
    Authors: Xie Wang, Jin Huang, Jingling Liang, Tian Tang, Jianhua Zhang, Bo Zhu, Iftikhar Ahmad, Wenhan Nie, Sai Wang

Seenivasa Moorthy T | Environmental Science | Best Researcher Award

Mr. Seenivasa Moorthy T | Environmental Science | Best Researcher Award

Mr at Kalasalingam Academy of Research and Education, krishnankoil. Research Scholar. India

Mr. Seenivasa Moorthy is a dedicated research scholar with extensive expertise in microbiology and biotechnology. He earned his M.Sc. in Microbiology from Ayya Nadar Janaki Ammal College, Sivakasi, graduating with distinction in 2020. His educational journey also includes a B.Sc. in Microbiology, a Diploma in Medical Laboratory Technology (DMLT), and a Post Graduate Diploma in Information Technology (PGDIT), all from the same institution under Madurai Kamaraj University. Mr. Moorthy is currently pursuing a Ph.D. in Biotechnology (2022-2025) at Kalasalingam School of Agricultural and Horticulture (KSAH), focusing on the “Characterization of native actinomycetes with AgNO3 nanoparticles” under the guidance of Dr. R. Kannan. His career reflects a commitment to applying his knowledge for advancements in microbiology, demonstrated by multiple certifications in apiculture, biofertilizer production, medical laboratory technology, and food processing. šŸ”¬ Microbiology & Biotechnology | šŸ“š Scholar | šŸŒæ Innovation Enthusiast

Profile

Scholar

Education šŸŽ“

Mr. Seenivasa Moorthy has built a strong foundation in microbiology and related fields through comprehensive education. He completed his B.Sc. in Microbiology (2016-2019) at Ayya Nadar Janaki Ammal College, Sivakasi, with a distinction (76.55%). He then pursued an M.Sc. in Microbiology (2019-2020), graduating with distinction (80.4%). Additionally, Mr. Moorthy earned a Diploma in Medical Laboratory Technology (2020-2021) and a Post Graduate Diploma in Information Technology (2019-2020) with high academic performance. His education was complemented by stellar high school results, including a remarkable 95.40% in SSLC from Vinayakar Matric Hr. Sec. School. Currently, Mr. Moorthy is working on his Ph.D. in Biotechnology (2022-2025) at Kalasalingam Academy of Research and Education (KARE), focusing on innovative research with potential agricultural and clinical applications.

Experience šŸ§‘ā€šŸ«

Dr. MarĆ­a JosĆ© Ruiz Lealā€™s extensive career at the Universitat de ValĆØncia (UV) commenced in 1998 with teaching and research roles, evolving from Assistant to Full Professor by 2018. Her work includes academic coordination of the Masterā€™s in Food Quality and Safety program since 2023. She has directed numerous research initiatives, leading eight significant projects and collaborating in about 20 regional, national, and international studies. Her focus lies in evaluating chemical impacts through in vitro cell cultures and in vivo methods, contributing to over 200 scientific congresses and publishing 131 papers in peer-reviewed journals, 90 of which are in Q1. Her experience is complemented by supervising 12 high-quality doctoral theses.

Certifications and Training šŸ“œ

Mr. Seenivasa Moorthyā€™s professional development includes diverse certifications that expand his technical expertise. Notably, he completed an online course on Apiculture in May 2020, securing a 70% pass rate. He also obtained a Certificate in Medical Laboratory Technology (2018-2019) with an 83% score and a Certificate in Biofertilizer Production Technology (2017-2018) with 84.5%. Further showcasing his proactive learning approach, he completed a Certificate in Food Processing and Preservation (2016-2017), scoring 84.5%. These certifications underline his dedication to applying scientific knowledge to practical and multidisciplinary fields, supporting his robust academic profile and ongoing Ph.D. research.

Ā Research FocusšŸ§Ŗ

Mr. Seenivasa Moorthyā€™s Ph.D. research at Kalasalingam School of Agricultural and Horticulture (KSAH) under Dr. R. Kannan focuses on the “Characterization of native actinomycetes with AgNO3 nanoparticles.” This research delves into the exploration of actinomycetes for their potential to produce innovative, sustainable solutions in biotechnology, particularly in antimicrobial applications. Through his extensive academic background and various certifications in microbiology and food preservation, Mr. Moorthy aims to bridge the gap between laboratory findings and real-world applications in agriculture and medicine. His research interests are directed towards the application of microbial technologies for health and environmental benefits.

Conclusion šŸ†

This individual exhibits remarkable academic and research potential, coupled with a strong dedication to contributing to both scientific knowledge and community development. Their ongoing research in biotechnology, particularly in enhancing agricultural productivity and sustainable practices, shows promise for significant real-world applications. With continued professional development, particularly in international collaborations and higher-profile journal publications, they have the potential to become a leading figure in their field. Their commitment to excellence makes them a strong contender for the Best Researcher Award.

Publications šŸ“š

  • “Cost-Benefit Assessment of Solid-Based Biofertilizer Production”
    • Authors: R. Kannan, T.S. Moorthy
    • Source: Agricultural Microbiology Based Entrepreneurship: Making Money from Microbes
    • Cited by: 1
    • Year: 2022

 

  • “Role of Actinomycetes in Disease Control in Agriculture and Horticulture Crops”
    • Authors: T.S.M. R. Kannan
    • Publication Details: Volume 28, Issue 2, pages 14-18
    • Cited by: Not specified
    • Year: 2022

 

 

Emanuele CalabrĆ² | Environmental Science | Best Researcher Award

Ā Prof . Emanuele CalabrĆ² | Environmental Science | Best Researcher Award

Ā ProfĀ  at MIUR (Mimistero dell’istruzione UniversitĆ  e Ricerca),Ā  Italy

Emanuele CalabrĆ² is a Full Professor of Physics and Environmental Physics at the Technological Technical Institute of Messina “Verona-Trento” (Italy), recognized for his significant contributions to physics, particularly in applied and experimental physics. He holds a PhD in Physics applied to the environment from the University of Messina and is a member of the Interuniversity Consortium of Applied Physical Sciences (CISFA). Emanuele is dedicated to advancing education and research in physics, focusing on environmental applications and the impacts of electromagnetic fields on biological systems.

Profile

Scholar

šŸŽ“ Education

Emanuele earned a Bachelor’s degree in Physics (1990) and a Bachelor’s in Engineering (1995) from the University of Messina, followed by several post-graduate qualifications in diverse fields, including energy systems, developmental psychology, and management of educational institutions. He completed his PhD in 2011, studying the effects of electromagnetic fields on cells. His educational journey reflects a commitment to interdisciplinary learning and expertise in both physics and education.

šŸ‘Øā€šŸ« Experience

Emanuele has extensive teaching experience, starting as a teaching assistant in Topography (1995) at the University of Messina, later becoming a Full Professor of Electrotechnics at the Technical Technological Institute ā€œSarrocchiā€ (1996-1999). He held various adjunct professorships at the University of Siena and has been a PhD-expert collaborator at the University of Messina since 2011. Since 1999, he has been a Full Professor at the Technological Technical Institute “Verona Trento,” where he focuses on advancing physics education and research.

šŸ† Awards and Honors

Emanuele has received multiple awards, including the “Award for Excellence in Research” at the Academic Brand Awards-18. He has been recognized with certificates for his contributions as a reviewer and has achieved National Scientific Qualifications for University Associate Professorships in both Applied Physics (FIS-07) and Experimental Physics of Matter (FIS-01). His accolades reflect his impactful role in academia and research.

šŸ”¬ Research Focus

Emanuele’s research primarily focuses on the effects of extremely low frequencies (ELF) and microwave electromagnetic fields on cellular structures and proteins. His work in environmental physics emphasizes the intersection of physical sciences and their applications in real-world environmental issues, seeking to understand the implications of electromagnetic fields in various biological contexts, thereby contributing to both scientific knowledge and public health awareness.

Publications Top Notes:

  • An Algorithm to Determine the Optimum Tilt Angle of a Solar Panel from Global Horizontal Solar Radiation
    • Journal of Renewable Energy (2013)
    • Citations: 119

 

  • Determining Optimum Tilt Angles of Photovoltaic Panels at Typical North-Tropical Latitudes
    • Journal of Renewable and Sustainable Energy (2009)
    • Citations: 100

 

  • Effects of Low Intensity Static Magnetic Field on FTIR Spectra and ROS Production in SHā€SY5Y Neuronalā€Like Cells
    • Bioelectromagnetics (2013)
    • Citations: 79

 

  • FTIR Spectroscopy Studies on the Bioprotective Effectiveness of Trehalose on Human Hemoglobin Aqueous Solutions under 50 Hz Electromagnetic Field Exposure
    • The Journal of Physical Chemistry B (2010)
    • Citations: 62

 

  • 50 Hz Electromagnetic Field Produced Changes in FTIR Spectroscopy Associated with Mitochondrial Transmembrane Potential Reduction in Neuronalā€Like SHā€SY5Y Cells
    • Oxidative Medicine and Cellular Longevity (2013)
    • Citations: 47

 

  • Protective Effects of Agmatine in Rotenone-Induced Damage of Human SH-SY5Y Neuroblastoma Cells: Fourier Transform Infrared Spectroscopy Analysis in a Model of Parkinsonā€™s Disease
    • Amino Acids (2012)
    • Citations: 45

 

  • Demicellization of Polyethylene Oxide in Water Solution under Static Magnetic Field Exposure Studied by FTIR Spectroscopy
    • Advances in Physical Chemistry (2013)
    • Citations: 44

 

  • Studying the Electromagnetic-Induced Changes of the Secondary Structure of Bovine Serum Albumin and the Bioprotective Effectiveness of Trehalose by Fourier Transform Infrared Spectroscopy
    • The Journal of Physical Chemistry B (2011)
    • Citations: 44

 

  • The Ī±-Helix Alignment of Proteins in Water Solution toward a High-Frequency Electromagnetic Field: A FTIR Spectroscopy Study
    • Electromagnetic Biology and Medicine (2017)
    • Citations: 42

 

  • Non-Thermal Effects of Microwave Oven Heating on Ground Beef Meat Studied in the Mid-Infrared Region by Fourier Transform Infrared Spectroscopy
    • Spectroscopy Letters (2014)
    • Citations: 41

 

  • Modulation of Heat Shock Protein Response in SH-SY5Y by Mobile Phone Microwaves
    • World Journal of Biological Chemistry (2012)
    • Citations: 41

Conclusion

Emanuele CalabrĆ² possesses a robust academic background, extensive teaching experience, and a strong track record in research. His recognition through awards and qualifications, coupled with a significant focus on pressing environmental issues, positions him as a compelling candidate for the Best Researcher Award. However, enhancing his publication record, securing research funding, fostering collaborative projects, and engaging with the community could further strengthen his application. With these improvements, he could not only reinforce his candidacy for the award but also continue to make impactful contributions to his field.

 

Saa hosseinzadeh | structural health monitoring | Best Researcher Award

Mr. Saa hosseinzadeh | structural health monitoring | Best Researcher Award

Assistant Professor at golestan University, gorgan, golestan, Iran.

Dr. Seyed Ali Asghar Hosseinzadeh is an Assistant Professor of Civil Engineering at Golestan University, Iran, specializing in structural and earthquake engineering. He earned his Ph.D. in Structural Engineering from Amirkabir University of Technology, with a focus on seismic behavior of steel plate shear walls. His research areas include thin-walled structures, seismic retrofitting, and finite element modeling. With extensive teaching experience, Dr. Hosseinzadeh has supervised numerous M.Sc. and Ph.D. students and has worked on significant retrofitting projects, including the vulnerability assessment of bridges on Hemmat Highway in Tehran.

Publication profile

Scholar

šŸŽ“ Education

Ph.D. in Structural Engineering ā€“ Amirkabir University of Technology, Tehran, Iran (2007-2012) Thesis: Seismic Behavior of Steel Plate Shear Walls with Window and Door-Type Openings. M.Sc. in Earthquake Engineering ā€“ Amirkabir University of Technology, Tehran, Iran (2004-2006)
Thesis: Buckling and Post-Buckling Behavior of Cracked Shear Panels. B.Sc. in Civil Engineering ā€“ Amirkabir University of Technology, Tehran, Iran (2000-2004)

šŸ§Ŗ Research Interests

  • Thin-Walled Structures
  • Seismic Retrofitting of Structures and Bridges
  • Linear and Nonlinear Seismic Behavior of Structural Systems
  • Finite Element Modeling (FEM)
  • Soil-Structure Interaction (SSI)
  • Earthquake Energy Dissipation Systems

šŸ… Honors

  • Ranked 2nd among B.Sc. Civil Engineering Students at Amirkabir University of Technology (2003)

šŸ”§ Professional Experience

Assistant Professor ā€“ Golestan University (2014-Present). Project Manager ā€“ Retrofitting Bridges on Hemmat Highway, Tehran (2007-2010. Assistant in Retrofitting Department ā€“ Transportation Research Institute, Tehran (2010-2011)

šŸ“š Teaching Experience

Undergraduate Courses: Static, Dynamics, Structural Analysis, Solid Mechanics, Steel Structure Design, Bridge Engineering, etc. Graduate Courses: Theory of Plate and Thin-Walled Structures, Seismic Design, Soil-Structure Interaction, Seismic Risk Analysis

šŸ‘Øā€šŸŽ“ Student Supervision

M.Sc. Thesis Supervision: Topics include steel shear walls, foundation uplift, seismic behavior, and diversion dam stresses. Ph.D. Thesis Supervision: Co-supervised research on the behavior of steel shear walls with openings.

Publication

  1. Introduction of Stiffened Large Rectangular Openings in Steel Plate Shear Walls
    • Authors: S.A.A. Hosseinzadeh, M. Tehranizadeh
    • Published in: Journal of Constructional Steel Research
    • Citations: 99 (2012)

 

  1. Influence of Central Cracks on Buckling and Post-Buckling Behavior of Shear Panels
    • Authors: M.M. Alinia, S.A.A. Hosseinzadeh, H.R. Habashi
    • Published in: Thin-Walled Structures
    • Citations: 92 (2007)

 

  1. Numerical Modelling for Buckling Analysis of Cracked Shear Panels
    • Authors: M.M. Alinia, S.A.A. Hosseinzadeh, H.R. Habashi
    • Published in: Thin-Walled Structures
    • Citations: 87 (2007)

 

  1. The Wallā€“Frame Interaction Effect in Steel Plate Shear Wall Systems
    • Authors: S.A.A. Hosseinzadeh, M. Tehranizadeh
    • Published in: Journal of Constructional Steel Research
    • Citations: 51 (2014)

 

  1. Behavioral Characteristics of Code-Designed Steel Plate Shear Wall Systems
    • Authors: S.A.A. Hosseinzadeh, M. Tehranizadeh
    • Published in: Journal of Constructional Steel Research
    • Citations: 49 (2014)

 

  1. Buckling and Post-Buckling Strength of Shear Panels Degraded by Near-Border Cracks
    • Authors: M.M. Alinia, S.A.A. Hosseinzadeh, H.R. Habashi
    • Published in: Journal of Constructional Steel Research
    • Citations: 44 (2008)

 

  1. Behavior of Steel Plate Shear Walls with Stiffened Full-Height Rectangular Openings
    • Authors: M.A. Barkhordari, S.A.A. Hosseinzadeh, M. Seddighi
    • Published in: Asian Journal of Civil Engineering
    • Citations: 27 (2014)

 

  1. Behavior of FRP-Reinforced Steel Plate Shear Walls with Various Reinforcement Designs
    • Authors: M. Seddighi
    • Published in: Steel and Composite Structures
    • Citations: 11 (2019)

 

  1. A Novel Unsupervised Deep Learning Approach for Vibration-Based Damage Diagnosis Using a Multi-Head Self-Attention LSTM Autoencoder
    • Authors: S. Ghazimoghadam, S.A.A. Hosseinzadeh
    • Published in: Measurement
    • Citations: 9 (2024)

Conclusion āœØ

Dr. Seyed Ali Asghar Hosseinzadeh is a well-established researcher in the field of structural and earthquake engineering with significant practical contributions, particularly in the seismic retrofitting of critical infrastructure. His focus on thin-walled structures and energy dissipation systems aligns well with the ongoing need for seismic safety. With increased international visibility and the integration of emerging technologies, he could further strengthen his candidacy for the Best Researcher Award. His solid academic foundation and practical experience make him a strong contender for this accolade.

 

Cem Erkmen | Electrochemical Sensors | Young Scientist Award

Assist Prof Dr. Cem Erkmen | Electrochemical Sensors | Young Scientist Award

PHD at Istanbul Aydin University , Turkey

Dr. Cem Erkmen is an Assistant Professor of Analytical Chemistry at Istanbul Aydın University, specializing in separation techniques, biosensors, and drug analysis. He completed his Ph.D. in Analytical Chemistry at Ankara University in 2022 and has received multiple research scholarships from TƜBÄ°TAK and YƖK. Dr. Erkmenā€™s research focuses on HPLC, electrochemistry, and aptasensors, particularly for detecting biomarkers. With an h-index of 13 and over 500 citations, he has authored numerous peer-reviewed articles in leading journals. He also serves as the Head of the Department of Basic Pharmaceutical Sciences at Istanbul Aydın University.

Publication profile

Scholar

šŸŽ“ Education

Ph.D. in Analytical Chemistry ā€“ Ankara University (2022). M.Sc. in Analytical Chemistry ā€“ Ankara University (2017). B.S. in Chemical Engineering ā€“ Gazi University (2014). B.S. in Business Administration ā€“ Anadolu University (2018)

šŸ› Academic and Administrative Experience

Assistant Professor ā€“ Istanbul Aydın University (2024 ā€“ Present). Head of Department ā€“ Basic Pharmaceutical Sciences, Istanbul Aydın University (2024 ā€“ Present). Faculty Council Member ā€“ Istanbul Aydın University (2024 ā€“ Present)

šŸ§Ŗ Research Interests

  • Separation Techniques, HPLC, Drug Analysis
  • Spectrophotometry, Electrochemistry
  • Biosensors, Nanosensors, Aptasensors
  • Method Validation, Biomarker Determination

šŸ“Š Citation Metrics

  • h-index: 13 (Web of Science & Scopus)
  • Citations: 464 (Web of Science), 592 (Scopus)

Publication

    1. Frontiers in Electrochemical Enzyme-Based Biosensors for Food and Drug Analysis
      • Authors: S. Kurbanoglu, C. Erkmen, B. Uslu
      • Published in: TrAC Trends in Analytical Chemistry
      • Citations: 123 (2020)
      • Focuses on the advancements in enzyme-based biosensors for the analysis of food and drugs.

     

    1. Molecularly Imprinted Polymers (MIPs) Combined with Nanomaterials for Electrochemical Sensing Applications
      • Authors: S. Rahman, B. Bozal-Palabiyik, D. N. Unal, C. Erkmen, et al.
      • Published in: Trends in Environmental Analytical Chemistry
      • Citations: 70 (2022)
      • Discusses the use of MIPs and nanomaterials for detecting environmental pollutants.

     

    1. Fabrication of Poly(3,4-ethylenedioxythiophene)-Iridium Oxide Nanocomposite-Based Tyrosinase Biosensor
      • Authors: C. Erkmen, S. Kurbanoglu, B. Uslu
      • Published in: Sensors and Actuators B: Chemical
      • Citations: 47 (2020)
      • Describes a biosensor for detecting catechol and azinphos methyl.

     

    1. Modified Indium Tin Oxide Electrodes: Applications in Pharmaceutical, Biological, Environmental, and Food Analysis
      • Authors: H. Silah, C. Erkmen, E. Demir, B. Uslu
      • Published in: TrAC Trends in Analytical Chemistry
      • Citations: 45 (2021)
      • Explores the electrochemical applications of modified indium tin oxide electrodes.

     

    1. Molecularly Imprinted Electrochemical Sensors for Pharmaceutical Applications
      • Authors: B. Bozal-Palabiyik, C. Erkmen, B. Uslu
      • Published in: Current Pharmaceutical Analysis
      • Citations: 34 (2020)
      • Focuses on electrochemical sensors based on ortho-phenylenediamine polymerization.

     

    1. Tyrosinase Nanobiosensor for Detection of Hormone Drugs
      • Authors: C. Erkmen, Y. Demir, S. Kurbanoglu, B. Uslu
      • Published in: Sensors and Actuators B: Chemical
      • Citations: 25 (2021)
      • Introduces a tyrosinase-based biosensor for hormone drug detection.

     

    1. Analytical Methods for Ī²-Blockers: An Overview
      • Authors: S. Yıldırım, C. Erkmen, B. Uslu
      • Published in: Critical Reviews in Analytical Chemistry
      • Citations: 21 (2022)
      • Reviews analytical methods used for detecting Ī²-blockers over the last decade.

     

    1. Electroanalytical Methods for Determining Pesticides Using Bimetallic Nanomaterials
      • Authors: C. K. Dindar, C. Erkmen, B. Uslu
      • Published in: Trends in Environmental Analytical Chemistry
      • Citations: 19 (2021)
      • Covers the use of bimetallic nanomaterials in pesticide detection.

Yaolin Zhu | Spectroscopy | Best Researcher Award

Prof. Yaolin Zhu | Spectroscopy | Best Researcher Award

Prof at Xiā€™an Polytechnic University,Ā  China

Yaolin Zhu, is a distinguished male professor at Xi’an Polytechnic University, China. He serves as a Master’s Supervisor and is a member of the China Textile Engineering Society and the Shaanxi Provincial Automation Society. With a commitment to academic excellence, Professor Zhu has significantly contributed to the fields of communication and information systems, fostering innovation in technology.

 

Publication profile

šŸŽ“ Education

Professor Zhu earned his Doctoral Degree in Communication and Information Systems from Shanghai University. He further enhanced his expertise through postdoctoral research in Electronic Science and Technology at Xi’an University of Technology and Northwestern Polytechnical University. Additionally, he has engaged in visiting research at the University of Reutlingen in Germany, broadening his academic horizons and international collaboration.

šŸ’¼ Experience

With extensive experience in academia, Professor Zhu has held various academic positions at Xi’an Polytechnic University. His research background is supported by postdoctoral roles and visiting research opportunities, emphasizing his dedication to advancing knowledge in communication systems and electronic technology. His mentorship has nurtured numerous students in their academic journeys.

šŸ† Awards and Honors

Professor Zhu has received several prestigious awards, including the Third Prize for Shaanxi Provincial Science and Technology Advancement, a Second Prize for Shaanxi Provincial Higher Education Science and Technology Advancement, and a Third Prize for Xi’an Municipal Science and Technology Progress. He has also obtained nearly 10 authorized patents, reflecting his innovative contributions to technology.

šŸ”¬ Research Focus

Professor Zhu’s research focus centers on communication and information systems, with an emphasis on electronic science and technology. His work contributes to advancements in automation and textile engineering, driving innovation in the industry. Through his research, he aims to address contemporary challenges and enhance technological applications in various fields.

 

Publication

1. Identification of apple leaf diseases based on MA-ConvNext network and stepwise relational knowledge distillation
  • Authors: Liu, H., Li, Y., Zhang, L., Zhu, Y., Hou, L.
  • Year: 2024
  • Journal: Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 58(9)
2. A lightweight multiscale smoke segmentation algorithm based on improved DeepLabV3+
  • Authors: Chen, X., Hou, Q., Fu, Y., Zhu, Y.
  • Year: 2024
  • Journal: IET Image Processing, 18(10), pp. 2665ā€“2678
3. Near-infrared spectroscopy identification method of cashmere and wool fibers based on an optimized wavelength selection algorithm
  • Authors: Zhu, Y., Chen, L., Chen, X., Chen, J., Zhang, H.
  • Year: 2024
  • Journal: Heliyon, 10(14), e34537
4. Non-destructive identification of wool and cashmere fibers based on improved LDA using NIR spectroscopy
  • Authors: Chen, X., Lan, Q., Zhu, Y.
  • Year: 2024
  • Journal: Autex Research Journal, 24(1), 20230017
5. Application of Unsupervised Feature Selection in Cashmere and Wool Fiber Recognition
  • Authors: Zhu, Y., Wang, X., Gu, M., Hu, G., Li, W.
  • Year: 2024
  • Journal: Journal of Natural Fibers, 21(1), 2311306
6. Accurate identification of cashmere and wool fibers based on enhanced ShuffleNetV2 and transfer learning
  • Authors: Zhu, Y., Liu, R., Hu, G., Chen, X., Li, W.
  • Year: 2023
  • Journal: Journal of Big Data, 10(1), 152
7. ANIMAL FIBER RECOGNITION BASED ON FEATURE FUSION OF THE MAXIMUM INTER-CLASS VARIANCE
  • Authors: Zhu, Y., Zhao, L., Chen, X., Li, Y., Wang, J.
  • Year: 2023
  • Journal: Autex Research Journal, 23(4), pp. 560ā€“566
8. RepVGG-YOLOv7: A Modified YOLOv7 for Fire Smoke Detection
  • Authors: Chen, X., Xue, Y., Hou, Q., Fu, Y., Zhu, Y.
  • Year: 2023
  • Journal: Fire, 6(10), 383
9. A novel smoke detection algorithm based on improved mixed Gaussian and YOLOv5 for textile workshop environments
  • Authors: Chen, X., Xue, Y., Zhu, Y., Ma, R.
  • Year: 2023
  • Journal: IET Image Processing, 17(7), pp. 1991ā€“2004
10. An Improved GOMP Sparse Channel Estimation for Vehicle-to-Vehicle Communications
  • Authors: Chen, X., Zhang, X., Zhu, Y., Ma, R.
  • Year: 2023
  • Journal: International Journal of Antennas and Propagation, 2023, 5281547