Assist. Prof. Dr. Rafael Lemos Paes | Remote Sensing | Research Excellence Award – 6908

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Assist. Prof. Dr. Rafael Lemos Paes | Remote Sensing | Research Excellence Award

Assist. Prof. Dr. Rafael Lemos Paes | Remote Sensing | Brazilian Air Force Academy | Brazil

Assist. Prof. Dr. Rafael Lemos Paes is a Remote Sensing Scientist specializing in Synthetic Aperture Radar and artificial intelligence applications for maritime and aerospace domains, with a career that integrates advanced academic research, operational defense expertise, and strategic technological advisory roles. Rafael Lemos Paes holds a PhD and a Master’s degree in Remote Sensing from the National Institute for Space Research in Brazil and a Bachelor’s degree in Aeronautical Sciences from the Brazilian Air Force Academy, reflecting a strong interdisciplinary foundation spanning Earth observation, computational intelligence, and aeronautical operations. During his doctoral training, Rafael Lemos Paes served as a visiting researcher at the Università degli Studi di Napoli “Parthenope” in Italy, where he conducted internationally supervised research that strengthened his expertise in spaceborne and airborne radar systems. Professionally, Rafael Lemos Paes currently serves at the Brazilian Air Force General Staff, where he provides high-level advisory support in C4ISR, advanced technologies, research and development, strategic innovation initiatives, and long-term defense and aerospace programs, bridging scientific research with national security and aerospace decision-making. His research interests are centered on Synthetic Aperture Radar data analysis, compact polarimetric SAR in hybrid modes, deep learning and automatic pattern recognition, maritime surveillance, and the extraction of actionable intelligence from large-scale remote sensing datasets. Rafael Lemos Paes has made notable contributions to maritime target detection over ocean surfaces, including ship detection, oil spill monitoring, and small vessel identification in complex environments such as Amazonian river systems, as well as aircraft accident analysis and shipwreck debris detection using SAR imagery. His research skills include SAR signal processing, polarimetric analysis, Big Data analytics, machine learning and deep learning model development, computational intelligence techniques, geospatial data integration, and the operational exploitation of airborne and spaceborne sensor data for defense and civil applications.

Citation Metrics (Google Scholar)

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Citations
296

h-index
8

i10-index
8

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View Google Scholar Profile

Featured Publications


Ship Detection Using TerraSAR-X Images in the Campos Basin (Brazil)


– IEEE Geoscience and Remote Sensing Letters, 2010 · 80 citations


Oil Rig Recognition Using Convolutional Neural Networks on Sentinel-1 SAR Images


– IEEE Geoscience and Remote Sensing Letters, 2019 · 36 citations


On the Capability of Hybrid-Polarity Features to Observe Metallic Targets at Sea


– IEEE Journal of Oceanic Engineering, 2015 · 24 citations

Mrs. Dinara Talgarbaeva | Remote Sensing | Top Researcher Award

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Mrs. Dinara Talgarbaeva | Remote Sensing | Top Researcher Award

Mrs. Dinara Talgarbaeva | Remote Sensing | Institute of Ionosphere | Kazakhstan

Mrs. Dinara Talgarbayeva is an accomplished Senior Researcher at the Institute of Ionosphere, Almaty, Kazakhstan, whose expertise lies in satellite-based geodynamic monitoring, InSAR technology, Sarscape data analysis, and GIS analytics. She holds both a Bachelor’s and a Master’s degree in Geology from Satbayev University, Kazakhstan, where she developed her foundational understanding of geological processes and earth observation systems. Over the course of her career, Mrs. Talgarbayeva has built a solid professional portfolio focused on applying remote sensing techniques to study geological deformations, land subsidence, and mineral exploration. Her research integrates Sentinel-1 SAR data, digital elevation models, and lineament analysis to provide accurate insights into seismic hazards and geodynamic changes in Kazakhstan and other Central Asian regions. As a dedicated scientist, she actively collaborates with multidisciplinary teams and international researchers, contributing to innovative solutions in geodesy, environmental monitoring, and mineral mapping. Her research interests are centered around earth observation, geodynamic zoning, natural hazard detection, and data-driven modeling for sustainable resource management. Mrs. Talgarbayeva possesses advanced research skills in SAR interferometry, GIS processing, multispectral analysis, and automation of geological data interpretation using satellite imagery, enabling her to produce reliable and scalable models for terrain deformation and subsidence assessment. She has demonstrated consistent excellence through her participation in numerous high-impact studies and has published multiple research papers in prestigious peer-reviewed journals such as Minerals, Geomatics, Engineered Science, and Reliability Theory and Applications, all indexed in Scopus and IEEE. These publications reflect her growing academic influence and her ability to translate complex scientific data into actionable insights.

Professional Profile: ORCID | Scopus

Selected Publications 

  1. Talgarbayeva, D., Satbergenova, A., Vilayev, A., Urazaliyev, A., & Yelisseyeva, A. (2025). InSAR-based assessment of land subsidence induced by coal mining in Karaganda, Kazakhstan. Geomatics, 5(4). [Cited by 12]

  2. Talgarbayeva, D., Serikbayeva, E., Orynbassarova, E., & Sydyk, N. (2025). Application of multispectral data in detecting porphyry copper deposits: The case of Aidarly Deposit, Eastern Kazakhstan. Minerals, 15(9). [Cited by 9]

  3. Talgarbayeva, D., Vilayev, A., Serikbayeva, E., & Ahmadi, H. (2025). Integrated prospectivity mapping for copper mineralization in the Koldar Massif, Kazakhstan. Minerals, 15(8). [Cited by 11]

  4. Talgarbayeva, D., Kairanbayeva, A., Nurakynov, S., & Mitkov, A. (2024). Predictive system for road condition monitoring based on open climate and remote sensing data – A case study with mountain roads. Engineered Science, 8(2). [Cited by 7]

  5. Talgarbayeva, D., Fremd, A., & Gaipova, A. (2023). Possibilities of lineament analysis of DEM SRTM during geodynamic zoning of seismic hazardous territories (on the example of the North-Tien-Shan region). Reliability Theory and Applications, 5(75), 96–110. [Cited by 5]

Dr. Adlin Dancheva | Remote Sensing | Best Researcher Award

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Dr. Adlin Dancheva | Remote Sensing | Best Researcher Award

Dr. Adlin Dancheva | Remote Sensing | Space Research and Technology Institute-BAS | Bulgaria

Dr. Adlin Dancheva is a distinguished GIS and Remote Sensing specialist with extensive expertise in geospatial analysis, cartography, drone-based imaging, and environmental monitoring. She is currently pursuing her Ph.D. at the Bulgarian Academy of Sciences, Space Research and Technology Institute (SRTI), focusing on aerospace information and remote sensing for environmental and infrastructure applications. She holds a Master’s degree in GIS and Cartography from Sofia University St. Kliment Ohridski and a Bachelor’s degree in Geography from Veliko Tarnovo University St. Cyril and St. Methodius. Dr. Adlin Dancheva has developed a strong professional portfolio through her work as a GIS Analyst at Megatron EAD (Bulgaria) / Terrascan Labs (Israel), where she processes and analyzes aerial mapping projects, interprets drone and satellite data, and generates soil sampling and topographical maps. She has also served as a GIS and Cartography Expert at the Road Infrastructure Agency – National Toll Administration and Agritask, Israel, applying advanced spatial data analysis, digital map design, shapefile creation, and data visualization to support environmental and infrastructure projects. Her contributions have garnered attention internationally, reflected in 13 publications, 31 citations, and an h-index of 3, demonstrating a strong and growing influence in battery research.

Professional Profile: Scopus

Selected Publications 

  1. Dancheva, A., & colleagues. (2025). Citric acid as electrolyte additive in aqueous magnesium-air battery used in Antarctic climate. Electrochimica Acta. (8 citations)

Mr. Faruk Hossain | Remote Sensing | Best Researcher Award

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Mr. Faruk Hossain | Remote Sensing | Best Researcher Award 

Mr. Faruk Hossain | Geological Survey of Bangladesh | Bangladesh

Faruk Hossain is a highly accomplished geoscientist and Assistant Director (Geology) at the Geological Survey of Bangladesh, specializing in fluvial and tectonic geomorphology, active fault identification, and 3D subsurface geological modeling. With a deep commitment to advancing geoscience research, he integrates field investigations, laboratory analysis, and advanced geospatial technologies to address pressing geological and environmental challenges. His expertise extends to geohazard assessment, seismic risk analysis, and the application of remote sensing and GIS in sustainable development and climate resilience. Faruk’s work contributes significantly to disaster risk reduction, sustainable urban planning, and resource management, positioning him as a leading expert in geohazard mitigation and environmental sustainability.

Professional Profile

ORCID

Summary of Suitability

Faruk Hossain is a dedicated and skilled geoscientist whose expertise spans fluvial and tectonic geomorphology, active fault identification, geohazard assessment, and 3D subsurface modeling. His research contributes directly to addressing critical issues such as seismic hazards, landslides, riverbank erosion, and climate adaptation, making his work highly relevant to sustainable development and disaster resilience.

Education

He holds an M.Sc. in Engineering Geology from Universiti Kebangsaan Malaysia, where his research focused on landslide density analysis using GIS in the Cameron Highlands, building a strong foundation in geohazard investigation, engineering geology, and geotechnical engineering. He also earned an M.Sc. in Petroleum Geology and Geophysics from the University of Dhaka, gaining expertise in petroleum system evaluation, reservoir geology, and exploration geophysics. His academic journey began with a B.Sc. (Hons) in Geology from the University of Dhaka, covering a broad range of earth sciences disciplines including geomorphology, hydrogeology, sedimentology, and engineering geology. This multidisciplinary education has equipped him with the theoretical knowledge and practical skills necessary to address complex geological and environmental challenges.

Experience

Faruk has extensive professional experience in geological mapping, fluvial system analysis, morphometric studies, and basin hydrological assessments. His technical capabilities encompass remote sensing data analysis, geomorphological mapping, structural trend interpretation, and landslide susceptibility modeling using advanced methodologies such as the Analytical Hierarchy Process and Weighted Overlay Method. He is proficient in hydrological modeling, change detection analysis of river systems, and the creation of thematic maps for hazard assessment and resource planning. His work often involves integrating field data with spatial analysis tools to produce 3D subsurface lithological models, enabling more accurate hazard predictions and geological interpretations. Beyond field and analytical work, he has contributed to the development of engineering geological project databases, improving data accessibility and management for large-scale projects.

Research Interests

His research interests center on fluvial and tectonic geomorphology, active tectonics, and the interplay between geological processes and environmental hazards. He is deeply engaged in studying mountain hazards such as landslides, debris flows, and glacial lake outburst floods, as well as riverbank erosion and floodplain dynamics. Faruk is also interested in the application of remote sensing indices for environmental monitoring, climate risk assessment, and sustainable resource use. His focus on 3D subsurface modeling supports both academic research and applied solutions for infrastructure development, hazard mitigation, and land-use planning in geologically sensitive areas.

Awards

Faruk has been recognized for his contributions to geoscience research, hazard mapping, and sustainable development practices. His awards reflect his innovative approaches to geological problem-solving, his leadership in applying geospatial technologies for hazard assessment, and his dedication to promoting climate adaptation strategies. These honors highlight his ability to translate scientific expertise into practical applications that benefit both communities and policy-making bodies.

Publication Top Notes

Fluvio-geomorphic change of the Padma-Meghna river course using the NDWI and MNDWI techniques

Digital Elevation Modeling Of Saint Martin Island, Bangladesh: A Method Based On Open Source Google Earth Data

The Sikkim flood of October: drivers, causes and impacts of a multi-hazard cascade

Conclusion

Faruk Hossain exemplifies the integration of scientific rigor, technological innovation, and practical application in the field of geoscience. His multidisciplinary expertise, from hazard assessment to 3D geological modeling, addresses critical environmental and societal needs, particularly in regions prone to natural disasters and climate-related risks. By combining field-based observations with advanced remote sensing and GIS methodologies, he delivers data-driven solutions for sustainable land use, disaster preparedness, and resource management. His track record of publications, professional achievements, and recognized contributions make him an outstanding candidate for awards honoring excellence in geoscience and environmental sustainability.

 

Mr. Mohammad Marjani | Remote sensing | Best Researcher Award

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Mr. Mohammad Marjani | Remote sensing | Best Researcher Award 

Mr. Mohammad Marjani, Memorial University of Newfoundland, Canada

Mohammad Marjani is a dedicated researcher and educator currently pursuing a Doctor of Philosophy in Electrical and Computer Engineering at Memorial University of Newfoundland, specializing in advanced remote sensing and deep learning algorithms for environmental monitoring under the supervision of Dr. Masoud Mahdianpari. He holds a Master of Science in Geospatial Information System (GIS) from K.N.Toosi University of Technology, where he graduated with a stellar GPA of 4.0/4.0, focusing on wildfire spread modeling using deep learning techniques. His academic journey began with a Bachelor of Science in Geodesy and Geomatic Engineering from the same university, where he researched 3D change detection methods in point clouds.Marjani’s research interests span deep learning, machine learning, spatio-temporal modeling, and remote sensing, with particular emphasis on natural hazards like wildfires and methane monitoring. He has accumulated valuable teaching experience as a Teaching Assistant at both the Iran National Geographical Organization and K.N.Toosi University, imparting knowledge in image processing, MATLAB, and Python programming.In addition to his academic endeavors, Marjani is a co-founder of GeoHoosh, an educational group dedicated to promoting artificial intelligence in geomatic and geospatial engineering. His commitment to advancing the field through both research and education underscores his role as a rising expert in geospatial technologies and environmental monitoring.

 

Professional Profile

🎓 EDUCATION

Doctor of Philosophy, Electrical and Computer Engineering
📅 Sep 2023 – Present
📍 Memorial University of Newfoundland, St. John’s, NL, Canada
🌐 Advanced remote sensing and deep learning algorithms for environment monitoring
👨‍🏫 Supervisor: Dr. Masoud Mahdianpari

Master of Science, Geospatial Information System (GIS)
📅 Sep 2020 – Nov 2022
📍 K.N.Toosi University of Technology, Tehran, Iran (KNTU)
📊 GPA: 18.58/20 (4.0/4.0)
🔥 The wildfire spread modeling using deep learning techniques
👨‍🏫 Supervisor: Dr. M.S. Mesgari

Bachelor of Science, Geodesy and Geomatic Engineering
📅 Sep 2016 – Sep 2020
📍 K.N.Toosi University of Technology, Tehran, Iran (KNTU)
📊 GPA: 16.22/20 (3.34/4.0)
📐 Thesis Title: Evaluation of 3D change detection methods in point clouds
👨‍🏫 Supervisor: Dr. H. Ebadi

🔬 RESEARCH INTERESTS

  • Deep Learning 🧠
  • Machine Learning 🤖
  • Spatio-temporal Modeling 🌍
  • Wildfire 🔥
  • Remote Sensing 🛰️
  • Natural Hazards 🌪️
  • Wetland Monitoring 🌿
  • Methane Monitoring 🌱

💼 EXPERIENCE

Teaching Assistantships, Faculty of Iran National Geographical Organization
🖥️ Image Processing
📅 Sep 2019 – Jan 2020

  • Taught MATLAB programming language 💻
  • Prepared lectures 📝
  • Graded course assessments 🧾
  • Defined assignments 📚

Teaching Assistantships, K.N.Toosi University of Technology
🖥️ Computational Intelligence
📅 Sep 2022 – Jan 2023

  • Taught Python programming language 🐍
  • Prepared lectures 📝
  • Graded course assessments 🧾
  • Defined assignments 📚

Co-Founder of GeoHoosh
🌐 Educational Group
📅 Sep 2023 – Present

  • One of the four founders of GeoIntelligence Education Group, named GeoHoosh in Persian 🇮🇷
  • Aims to educate Artificial Intelligence in the Geomatic/Geospatial engineering sub-fields 🧭

Publications Notes:📄

Application of Explainable Artificial Intelligence in Predicting Wildfire Spread: An ASPP-Enabled CNN Approach

CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction

 

 

 

 

 

 

 

 

Dr. Adolph Nyamugama | Remote Sensing | Best Researcher Award

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Dr. Adolph Nyamugama | Remote Sensing | Best Researcher Award 

Dr. Adolph Nyamugama, Agricultural Research Council, South Africa

Dr. Adolph Nyamugama is an accomplished environmental geographer with a strong academic background, holding a PhD in Environmental Geography with a focus on the application of remote sensing in environmental monitoring. He completed his MSc in Geographical Information Systems & Cartography and his BSc Honors in Geography at Enrique Jose Varona University in Havana, Cuba. Dr. [Your Name] is fluent in English, Spanish, Shona, and Mandarin, and enjoys traveling and watching soccer in his spare time.Currently serving as a Senior Researcher at the Agricultural Research Council in Pretoria since January 2015, Dr. Adolph Nyamugama has excelled in strategic planning, operations management, research, and business development. He has successfully led the crop estimation project, generating R10 million annually, and introduced innovative spatial technology for crop disease monitoring. His expertise extends to stakeholder management, where he has fostered strong relationships with clients, peer organizations, and international partners.

Professional Profile

📚 Education

PhD in Environmental Geography
📅 Feb 2009 – Apr 2013
🎓 Focus: Application of Remote Sensing in Environmental Monitoring

MSc in Geographical Information Systems & Cartography
📅 Sep 2001 – Jul 2005

BSc Honors in Geography
📅 Sep 1993 – Jul 1998
🎓 Enrique Jose Varona University, Havana, Cuba

💼 Employment

Senior Researcher
📅 Jan 2015 – Present
📍 Agricultural Research Council, Pretoria

  • Strategic Planning: Developed team strategies aligning with organizational goals, participated in strategy development, monitored delivery, and provided strategic advice on revenue generation.
  • Operations Management: Directed crop estimation using drones and GIS, including project planning, KPI development, human/financial resource management, and milestone monitoring.
  • Research: Led multidisciplinary research projects, managed data collection/analysis, published reports/articles, and maintained spatial datasets.
  • Business Development: Created business strategies for revenue generation and long-term sustainability, drove marketing initiatives, and promoted services/products.

Senior GIS Consultant
📅 Jan 2011 – Dec 2013
📍 Kanimambo Cosmos Engineering Company, Cape Town City Council

  • Managed all GIS functions and monitored project work by technicians.
  • Provided GIS support for database-related issues and ensured mapping standards adherence.
  • Controlled mapping standards, reported on GIS aspects, and ensured timely completion of documents.
  • Managed, developed, and maintained spatial databases.

🏆 Achievements

  1. Crop Estimation Project: Successfully implemented a national project, generating at least R10 million annually.
  2. Spatial Technology for Crop Disease Detection: Introduced NRF-funded project for detecting and monitoring crop diseases.
  3. GIS Tools for Data Analysis: Implemented GIS tools for data analysis in various organizations.
  4. Intern Funding and Department Capacitation: Secured funding for interns to support departmental strategic objectives.
  5. SENTI2 Agri-System SA Demonstration Project: Led ARC-Catholic University collaboration on an Uncloud-ESA funded project.
  6. United Nations Convention to Combat Desertification: Appointed as an Independent Expert and Country Representative.

Publications Notes:📄

Integrating Sigmoid Calibration Function into Entropy Thresholding Segmentation for Enhanced Recognition of Potholes Imaged Using a UAV Multispectral Sensor

Radiometric Compensation for Occluded Crops Imaged Using High-Spatial-Resolution Unmanned Aerial Vehicle System

Irrigation Scheduling for Small-Scale Crops Based on Crop Water Content Patterns Derived from UAV Multispectral Imagery

Prospects of Improving Agricultural and Water Productivity through Unmanned Aerial Vehicles

 

 

 

 

 

 

 

 

Azharuddin Khan | Electromagnetic Sensors | Best Researcher Award

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Mr. Azharuddin Khan | Electromagnetic Sensors | Best Researcher Award

Research Scholar at Electromagnetic Sensors IIT BHU Varanasi, India

Azharuddin Khan seeks a challenging role in an esteemed organization where he can apply his research expertise to develop and implement innovative solutions. He is eager to work with experienced professionals, utilize his strong analytical skills, and expand his knowledge base. His ultimate goal is to make substantial contributions to knowledge and innovation, establish himself as a recognized expert, and drive the growth and success of the organization.

Professional Profile

Education:

Mr. Azharuddin Khan has a strong educational background in Microwave Engineering, culminating in a Ph.D. from IIT BHU Varanasi, which he completed from January 2019 to December 2023, achieving a remarkable 9.2 CPI. Prior to his doctoral studies, he earned an M. Tech in Microwave Electronics from the University of Delhi South Campus, New Delhi, from 2016 to 2018, where he secured 71.4%. Mr. Khan’s academic journey began with a B. Tech in Electronics and Communication from Uttar Pradesh Technical University, Lucknow (UPTU), which he completed from 2010 to 2014, graduating with 70.46%. His secondary education at Mahatma Gandhi Inter College, Gorakhpur, under the UP Board, resulted in a respectable 65.4% in the XII(PCM) stream in 2009.

Skills:

Mr. Azharuddin Khan possesses a diverse skill set that complements his academic achievements. Proficient in various tools such as HFSS, CST, QUCS, MATLAB, VISIO, ORIGIN, and SPICE, he demonstrates a keen aptitude for utilizing software essential in his field. His expertise extends to measurement skills, particularly in Antenna Parameters measurement using VNA and spectrum analyzer, SAR analysis using DASY-4 setup, and Calibration, showcasing his practical knowledge in microwave engineering. Mr. Khan has hands-on experience in conducting laboratory experiments at both undergraduate and postgraduate levels, enriching his understanding of theoretical concepts with practical applications. His expertise in subjects like Microwave, Antenna, Electromagnetic Field Theory, and Microwave Device Measurements reflects his comprehensive grasp of core concepts in his field.

Achievements:

Mr. Azharuddin Khan’s journey is marked by several notable achievements, underscoring his academic excellence and active involvement in extracurricular activities. He demonstrated his proficiency by qualifying in the GATE exams in both 2016 and 2017, showcasing his commitment to continuous learning and growth. Mr. Khan’s participation in the “Bharat Ko Pechano” interstate quiz competition in 2011-2012 highlighted his broader interests and engagement beyond academics. His leadership qualities and commitment to service were evident during his tenure as the Executive member of the “Social Service Club” at the University of Delhi South Campus, where he actively contributed to community development initiatives. Mr. Khan’s involvement with IEEE MTT-S, first as the Joint Secretary at IIT BHU in 2019-2020 and later as the Vice-Chair at IIT BHU in 2022-2023, demonstrates his passion for his field and his dedication to fostering a collaborative and innovative environment. His academic achievements were further recognized through prestigious student travel grants from IEEE MTT-S for the IMaRC 2019 conference and the MAPCON 2022 conference, acknowledging his contributions to the field of microwave engineering. Additionally, he received student travel grants for attending the WAMS 2023 conference in Gandhinagar, Gujarat, reflecting his commitment to staying abreast of the latest developments in his field and networking with peers and experts.

Teaching:

During his Ph.D., Mr. Azharuddin Khan actively contributed as a teaching assistant, providing valuable support to students in various capacities. He supervised the Microwave laboratory sessions for B.Tech 5th and 7th-semester students, ensuring their understanding and proficiency in the subject matter. Additionally, he facilitated the Device laboratory sessions for B.Tech 3rd-semester students, guiding them through practical experiments and fostering their skills. Mr. Khan also conducted tutorial classes for B.Tech 3rd-semester students, helping them grasp complex concepts and excel in their studies. His dedication to mentorship extended to guiding M.Tech students in their thesis work, providing valuable insights and support. Moreover, he supervised several B.Tech students in their project work, totaling eight, where he played a pivotal role in shaping their academic projects and nurturing their technical abilities.

Academic Projects:

During his academic journey, Mr. Azharuddin Khan undertook several significant projects, showcasing his practical skills and innovative thinking. For his M.Tech major project, he worked on designing a Low-Noise Amplifier from January 2018 to May 2018 at the Inter-University Accelerator Centre, an Autonomous Research Centre of the University Grant Commission, New Delhi. This project likely involved advanced techniques in microwave engineering and amplifier design, highlighting his expertise in the field. In his M.Tech minor project, conducted from July 2017 to December 2017, Mr. Khan focused on the design and simulation of a meander line inverted antenna. This project would have involved the use of simulation software and practical antenna design principles, demonstrating his proficiency in antenna engineering. During his B.Tech, Mr. Khan worked on a major project titled “Advance Vehicle Security with Theft Control & Accident Notification” from January 2014 to May 2014. This project likely involved the integration of electronics and communication systems for vehicle security and safety, showcasing his multidisciplinary approach to engineering problem-solving.

Publications:

Slot-Loaded Pentagon Microstrip Patch Antenna for Hyperthermia Application at 434 MHz

Authors: Khan, A., Dubey, S.K., Singh, A.K.

Citations: 1

Year: 2023

An elliptical-shaped rectangular slot antenna at 2.48 GHz for hyperthermia application

Authors: Khan, A., Dubey, S.K., Singh, A.K.

Citations: 0

Year: 2023

A CPW Fed Circular Patch Antenna Loaded With Metamaterial For Gain Enhancement

Authors: Shrivastava, M.K., Singh, R., Kumar, P., Khan, A.

Citations: 0

Year: 2023

Series fed Circular patch Antenna 3×1 array for C Band Applications

Authors: Mishra, A., Khan, A., Dubey, S.K.

Citations: 0

Year: 2023

Square patch with symmetrical L-slots resonating at 915 MHz for Hyperthermia application

Authors: Khan, A., Mishra, A., Dubey, S.K., Singh, A.K.

Citations: 0

Year: 2023

Design of Compact Circular Shaped Slot Antenna for Wireless Sensor Networks

Authors: Mishra, A., Khan, A., Dubey, S.K.

Citations: 0

Year: 2023

Analysis of Cross-Slot Antenna at ISM band for Hyperthermia application

Authors: Khan, A., Singh, A.K., Singh, A.K.

Citations: 0

Year: 2023

Design of a Dual ISM Band Antenna at 2.5 GHz and 5.35 GHz for hyperthermia application

Authors: Khan, A., Mishra, A., Dubey, S.K., Singh, A.K.

Citations: 0

Year: 2023

SAR Analysis of Hexagonal-Shaped Slot-Loaded Patch Antenna for Hyperthermia Application at 434 MHz

Authors: Khan, A., Singh, A.K.

Citations: 4

Year: 2023

Pentagon-shaped Microstrip Patch Antenna in ISM band for Hyperthermia Application

Authors: Khan, A., Singh, A.K.

Citations: 1

Year: 2022