Anju Asokan | Satellite Imaging | Best Researcher Award

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Dr. Anju Asokan | Satellite Imaging | Best Researcher Award

Doctorate at Sri Eshwar College of Engineering, India

Summary:

Dr. Anju Asokan is a dedicated educator and researcher with a Ph.D. in Image Processing from Karunya Institute of Technology and Sciences. With a strong background in VLSI Design and Electronics and Communication Engineering, she has excelled both academically and professionally. Dr. Asokan has received numerous awards for her research contributions and excellence in teaching. Her experience spans academia and industry, where she has held various positions, including Assistant Professor and Senior Engineer. She is actively involved in mentoring students and contributing to the scientific community through her research in image processing, artificial intelligence, and digital signal processing. Dr. Asokan is committed to continuous learning and adding value to the organizations she serves.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

  • Ph.D. in Image Processing
    Karunya Institute of Technology and Sciences, Coimbatore, 2021
    CGPA: 8.77
  • M.Tech in VLSI Design
    Amrita School of Engineering, Coimbatore, 2016
    CGPA: 9.73 (4th Rank)
  • B.Tech in Electronics and Communication Engineering (ECE)
    Toc H Institute of Science and Technology (CUSAT), 2014
    Percentage: 83.7% (Topper ECE)

šŸ¢ Professional Experience:

Dr. Anju Asokan has a diverse background in both academia and industry. Currently serving as an Assistant Professor at Sri Eshwar College of Engineering since June 2022, she excels in teaching and mentoring students in various engineering courses. Prior to this, she was an Assistant Professor at Sri Krishna College of Technology from December 2020 to June 2022, where she guided students in both practical and theoretical aspects of engineering. Her industry experience includes working as a Senior Engineer at Tata Elxsi, Trivandrum, from November 2016 to November 2017, where she gained valuable experience in testing and practical applications of engineering principles. Additionally, Dr. Asokan contributed significantly to the academic and scientific community as a Research Scholar at Karunya Institute of Technology and Sciences from December 2017 to December 2020, focusing on innovative research in image processing.

Achievements:

  • Best Young Researcher Award 2021 by IJMTST for research contributions.
  • Outstanding Research Paper Award by Novel Research Academy for the paper “Adaptive Cuckoo Search based optimal bilateral filtering for denoising of satellite images” published in ISA Transactions.
  • Program Committee Member and Reviewer for the International Conference on Cyber Technologies and Emerging Sciences.
  • Mentor for teams in the Yuva Innovators Challenge 2021.
  • Reviewer for IET Image Processing Journal and the Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
  • Best outgoing student award from Amrita School of Engineering, Coimbatore.
  • Academic excellence award for all semesters of M.Tech exams conducted by Amrita Vishwa Vidyapeetham.

Research Interests:

  • Image Processing
  • VLSI Design
  • Digital Signal Processing
  • Artificial Intelligence
  • Fuzzy Logic

Author Metrics:

  • Citations (Google Scholar): 446
  • H-Index (Google Scholar): 11

Top Noted Publication:

“A self-adaptable Manta ray optimized Gabor filter for satellite image enhancement”

  • Authors: Asokan, A.
  • Journal: Earth Science Informatics
  • Year: 2023
  • Volume: 16
  • Issue: 2
  • Pages: 1503ā€“1517
  • Citations: 5

“Designing Artificial Intelligence (AI) Based Secured Framework to Improvise the Data Security of Confidential Academic Records”

  • Authors: Agarwal, M., Saraswat, M., Bahadur, P., Asokan, A., Bapat, V.
  • Journal: International Journal of Intelligent Systems and Applications in Engineering
  • Year: 2023
  • Volume: 11
  • Issue: 5s
  • Pages: 38ā€“42
  • Citations: 2

“Content-Based Image Recovery System with the Aid of Median Binary Design Pattern”

  • Authors: Mehbodniya, A., Webber, J., Geetha Devi, A., Asokan, A., Bhanu, K.S.
  • Journal: Traitement du Signal
  • Year: 2023
  • Volume: 40
  • Issue: 2
  • Pages: 667ā€“674
  • Citations: 2

“Simulation Environment for the I9 Vanet Platform”

  • Authors: Avhankar, M.S., Pawar, J., Singh, G., Kaliappan, S., Purohit, K.C.
  • Conference: 2nd IEEE International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI 2023)
  • Year: 2023

“Novel Method for Recognizing Sign Language using Regularized Extreme Learning Machine”

  • Authors: Moorthi, K., Asokan, A., Sri Sathya, K.B., Kalpana, V., Rastogi, R.
  • Conference: 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC 2023)
  • Year: 2023
  • Pages: 434ā€“440

 

Hanqing Bao | Land cover | Best Researcher Award

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Mr. Hanqing Bao, Land cover, Best Researcher Award

Hanqing Bao at Ludwig-Maximilians-UniversitƤt, Germany

Summary:

Mr. Hanqing Bao is an accomplished researcher and Ph.D. candidate specializing in Physical Geography and Environmental Remote Sensing at Ludwig-Maximilians-UniversitƤt (Munich). With extensive experience in remote sensing and deep learning, his work focuses on the intelligent processing and analysis of remote sensing images to enhance urban planning and environmental monitoring.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

Ph.D. Candidate in Physical Geography and Environmental Remote Sensing

  • Ludwig-Maximilians-UniversitƤt (Munich) (2020 – Present)
  • Research Team: Physical Geography and Environmental Remote Sensing
  • Supervisor: Prof. Dr. Lukas Lehnert

Master’s Degree in Surveying Science and Technology (Remote Sensing)

  • China University of Geosciences (Beijing) (2017 – 2020)
  • Research Team: Intelligent Remote Sensing Image Processing and Analysis
  • Supervisor: Dr. Dongping Ming

Bachelor’s Degree in Surveying and Mapping Engineering

  • Lanzhou Jiaotong University (2013 – 2017)

Professional Experience:

As a Ph.D. candidate at Ludwig-Maximilians-UniversitƤt, Mr. Bao has been integral to research initiatives focusing on the application of deep learning in remote sensing. His research encompasses the development of advanced techniques for land use change detection, high-resolution image processing, and the exploration of urban spatial structures. His work leverages the capabilities of convolutional neural networks (CNN) and graph convolutional networks (GCN) to improve the accuracy and efficiency of remote sensing data analysis.

Research Interest:

Mr. Bao’s research interests lie at the intersection of remote sensing, deep learning, and urban planning. Key areas of focus include:

  • Land Use Change Detection: Utilizing Siamese Networks to detect changes in land use over time, aiding in sustainable urban development.
  • High-Resolution Image Processing: Applying deep learning techniques to process and analyze very high-resolution remote sensing images.
  • Scale Effect Mitigation: Developing methods to reduce the impact of scale effect on remote sensing image information extraction through stratification and spatial statistics.
  • Intelligent Image Understanding: Segmentation, classification, and semantic recognition of remote sensing images to extract meaningful information about natural and built environments.

Mr. Bao’s contributions to the field of remote sensing are aimed at enhancing our understanding of urban environments and supporting effective environmental management practices.

Publications Top Noted:Ā 

Title: DFCNN-based semantic recognition of urban functional zones by integrating remote sensing data and POI data

  • Authors: Hanqing Bao, Dongping Ming, Yuan Guo, et al.
  • Journal: Remote Sensing
  • Year: 2020
  • Volume: 12
  • Issue: 7

Title: SOā€“CNN based urban functional zone fine division with VHR remote sensing image

  • Authors: Wenchao Zhou, Dongping Ming, Xudong Lv, et al.
  • Journal: Remote Sensing of Environment
  • Year: 2020
  • Volume: 236

Title: Farmland extraction from high spatial resolution remote sensing images based on stratified scale pre-estimation

  • Authors: Ling Xu, Dongping Ming, Wenchao Zhou, et al.
  • Journal: Remote Sensing
  • Year: 2019
  • Volume: 11
  • Issue: 2

Title: A new method for region-based majority voting CNNs for very high resolution image classification

  • Authors: Xudong Lv, Dongping Ming, Tian Lu, et al.
  • Journal: Remote Sensing
  • Year: 2018
  • Volume: 10
  • Issue: 12

Title: Stratified Object-Oriented Image Classification Based on Remote Sensing Image Scene Division

  • Authors: Wenchao Zhou, Dongping Ming, Ling Xu, et al.
  • Journal: Journal of Spectroscopy
  • Year: 2018
  • Volume: 2018

Hasmukh Varchand | Remote Sensing | Best Researcher Award

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Mr. Hasmukh Varchand, Remote Sensing, Best Researcher Award

Doctorate at The Charutar Vidya Mandal University, India

Summary:

Mr. Hasmukh Varchand is a dedicated PhD student at N. V. Patel College of Pure and Applied Sciences, CVM University, specializing in Physics. His research focuses on hyperspectral signal analysis using the radiative transfer approach for airborne and satellite observations. Currently, he is developing algorithms for the detection and estimation of carbon dioxide and methane emissions using remote sensing data. With three years of experience in groundbreaking research, Mr. Varchand has presented his findings at national and international conferences and published in reputable journals. He holds a Master’s degree in Physics from Sardar Patel University and a Bachelor’s degree from Krantiguru Shyamji Krishna Verma Kachchh University. Beyond academia, he actively participates in professional societies like the Indian Society of Remote Sensing and the IEEE Geoscience and Remote Sensing Society.

Professional Profile:

Scopus Profile

Orcid Profile

Google Scholar Profile

šŸ‘©ā€šŸŽ“Education & Qualification:

Mr. Hasmukh Varchand’s educational background is as follows:

Ph.D. in Physics:

  • N. V. Patel College of Pure and Applied Sciences, CVM University (Currently pursuing)

M.Sc. in Physics:

  • Sardar Patel University, 2019

B.Sc. in Physics:

  • Krantiguru Shyamji Krishna Verma Kachchh University, 2017

Professional experience: Ā 

Mr. Hasmukh Varchand brings a wealth of experience in the field of remote sensing and environmental research. With a focus on hyperspectral signals and radiative transfer modeling, he has been actively involved in developing algorithms for detecting and estimating carbon dioxide and methane emissions using airborne and spaceborne satellite data. His collaboration with scientists from the Space Application Centre (SAC) – ISRO has further enhanced his expertise in sensor systems for greenhouse gas detection applications. Hasmukh has presented his groundbreaking research findings at various national and international conferences and has contributed significantly to reputable journals of Elsevier and IEEE. His proactive engagement in professional societies like the Indian Society of Remote Sensing (ISRS) and the IEEE Geoscience and Remote Sensing Society (IEEE-GRS) underscores his commitment to advancing knowledge and fostering connections within the academic community.

Research Interest:

Hyperspectral signal analysis: Studying hyperspectral signals using the radiative transfer approach for airborne and satellite observations.

Theoretical modeling: Developing theoretical models for radiative transfer to better understand and interpret remote sensing data.

Greenhouse gas detection: Investigating algorithms and sensor systems for the detection and estimation of carbon dioxide and methane emissions.

Remote sensing applications: Exploring the application of remote sensing techniques in environmental monitoring and climate change studies.

Collaborative research: Engaging in collaborative research initiatives with experts from the Space Application Centre (SAC) – ISRO and other institutions to advance knowledge in remote sensing and environmental science.

Publication Top Noted:

CO2 concentration retrieval and emission rate estimation over Indian thermal power plants using radiative transfer approach and AVIRIS-NG data

  • Authors: HK Varchand, MR Pandya, JA Dave, PN Parmar, HJ Trivedi, DB Shah, …
  • Journal: Remote Sensing Applications: Society and Environment
  • Volume: 33
  • Year: 2024

Comparative analysis of two parameter-dependent split window algorithms for the land surface temperature retrieval using MODIS TIR observations

  • Authors: JA Dave, MR Pandya, DB Shah, HK VARCHAND, PN Parmar, HJ Trivedi, …
  • Journal: Journal of Agrometeorology
  • Volume: 25
  • Year: 2023

Point Source Carbon Dioxide Emission Monitoring Using Radiative Transfer Simulations and AVIRIS-NG Data

  • Authors: HK Varchand, MR Pandya, JA Dave, PN Parmar, HJ Trivedi
  • Conference: 2022 URSI Regional Conference on Radio Science (USRI-RCRS)
  • Year: 2022

Atmospheric Column Water Vapor Retrieval using Atmospheric Precorrected Differential Absorption Technique from AVIRIS-NG Data

  • Authors: JA Dave, MR Pandya, HK Varchand, PN Parmar, HJ Trivedi, VN Pathak
  • Conference: 2022 URSI Regional Conference on Radio Science (USRI-RCRS)
  • Year: 2022

Heat Wave Study using Satellite LST and Air Temperature Data over Gujarat Region

  • Authors: PN Parmar, MR Pandya, JA Dave, HK Varchand, HJ Trivedi
  • Conference: 2022 URSI Regional Conference on Radio Science (USRI-RCRS)
  • Year: 2022