Hanqing Bao | Land cover | Best Researcher Award

Mr. Hanqing Bao, Land cover, Best Researcher Award

Hanqing Bao at Ludwig-Maximilians-Universität, Germany

Summary:

Mr. Hanqing Bao is an accomplished researcher and Ph.D. candidate specializing in Physical Geography and Environmental Remote Sensing at Ludwig-Maximilians-Universität (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:

👩‍🎓Education:

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

  • Ludwig-Maximilians-Universität (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-Universität, 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: 

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: SO–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

Daniel Marcelo-Aldana | Renewable Resources | Best Researcher Award

Prof Dr. Daniel Marcelo-Aldana, Renewable Resources, Best Researcher Award

Professor at University of Piura, Peru

Summary:

Prof. Dr. Daniel Marcelo-Aldana is an accomplished engineer and academician with a diverse background in mechanical and electrical engineering. He holds a Ph.D. in Energy and Environmental Technologies for Sustainable Development from the University of La Sapienza in Rome, Italy. Additionally, he earned a Master’s degree in Project Management and a Bachelor’s degree in Mechanical Electrical Engineering from the University of Piura in Peru. Currently serving as a Principal Professor in the Faculty of Engineering at the University of Piura, Peru, Dr. Marcelo-Aldana is deeply involved in both undergraduate and graduate education, teaching courses ranging from Heat Transfer and Hydraulic Machines to Hydroelectric Power Plants and Renewable Energies. With a wealth of experience in academic leadership roles, he has previously served as Vice Dean of the Faculty of Engineering and Director of Research and Graduate Studies. Dr. Marcelo-Aldana has over 15 years of experience in conducting and overseeing research projects in basic and applied sciences, innovation, and technology transfer, with a particular focus on sustainable energy solutions. He is also actively engaged in evaluating research articles for indexed journals and projects for funding agencies.

Professional Profile:

Scopus Profile

Orcid Profile

Google Scholar Profile 

👩‍🎓Education & Qualification:

Professional experience:  

Prof. Dr. Daniel Marcelo-Aldana’s professional experience includes:

  • Currently holds the position of Principal Professor at the Faculty of Engineering at the University of Piura, Peru.
  • Teaches undergraduate and graduate courses, including Heat Transfer, Hydraulic Machines, Hydroelectric Power Plants, Renewable Energies, Introduction to Heat Transfer Mechanisms, and Industrial Plants.
  • Served as Vice Dean of the Faculty of Engineering at the University of Piura from 2017 to 2020.
  • Previously served as Director of Research and Graduate Studies at the Faculty of Engineering from 2011 to 2013.
  • Represented the University of Piura before the Regional Government of Piura on committees related to energy, innovation, and research.
  • Member of the team for the design, formulation, and implementation of the Master’s Program in Electrical Mechanical Engineering at the University of Piura in 2007.
  • Member of the team for the design, formulation, and implementation of the Doctoral Program in Engineering at the University of Piura in 2010.
  • Has over 15 years of experience in formulating, directing, and participating as a researcher in basic and applied research projects, innovation, and technology transfer at the national and international levels.
  • Participates as an evaluator and reviewer of articles for indexed journals such as ScienceDirect and evaluates projects for competitive funds such as Fincyt and Concytec.
Research Interest:

Renewable Energies: Investigation of sustainable energy sources such as solar, wind, hydroelectric, and biomass energy, with a focus on their integration into existing energy systems and their impact on the environment.

Heat Transfer Mechanisms: Study of heat transfer processes in various engineering applications, including conduction, convection, and radiation, and the development of efficient heat transfer technologies.

Hydroelectric Power Plants: Research on the design, operation, and optimization of hydroelectric power plants to maximize energy production while minimizing environmental impact.

Industrial Plants: Investigation of the design and operation of industrial plants, including manufacturing facilities, chemical plants, and refineries, with a focus on improving efficiency and reducing environmental pollution.

Sustainable Development: Exploration of technologies and strategies for promoting sustainable development, including the use of renewable energy sources, waste management, and environmental conservation measures.

Energy Policy and Planning: Analysis of energy policies and planning initiatives at the regional, national, and international levels, with a focus on promoting sustainable energy practices and reducing greenhouse gas emissions.

Innovation and Technology Transfer: Examination of mechanisms for fostering innovation and technology transfer in the engineering sector, including collaborations between academia, industry, and government agencies to promote the adoption of new technologies.

Publication Top Noted:

Title: Estimation of hydrogen production potential from renewable resources in northern Peru

  • Authors: D. Caravantes, J. Carbajal, C. Celis, D. Marcelo-Aldana
  • Journal: International Journal of Hydrogen Energy
  • Volume: 50
  • Pages: 186-198
  • Year: 2024
  • Citations: 3

Title: Effect of Swell-Drying on Mango (Mangifera indica) Drying Kinetics

  • Authors: L.A. Casaverde-Pacherrez, C. Téllez-Pérez, C. Besombes, …
  • Journal: Foods
  • Volume: 11
  • Issue: 15
  • Pages: 2220
  • Year: 2022
  • Citations: 3

Title: Evaluación tecnológica y económica de sistemas de producción de panela con tecnología a vapor

  • Author: J.J. Manrique Silupú 
  • Year: 2012
  • Citations: 3

Title: Análisis técnico y económico sobre producción, almacenamiento y transporte de biodiesel en Perú

  • Author: L.E. Vértiz Díaz
  • Year: 2012
  • Citations: 3

Title: Comparativa entre sistemas de captación solar para el diseño y análisis de un sistema de acondicionamiento para un piso de oficinas

  • Authors: A.N. Chira Rodríguez, C.A. Cárdenas Correa, F.J. Ma San Gómez, …
  • Year: 2021
  • Citations: 2