Qiang Yue | Big Data Analytics | Global Data Innovation Recognition Award

Published on by Research Data Analysis

Prof. Qiang Yue | Big Data Analytics | Global Data Innovation Recognition Award

College of Water Conservancy and Civil Engineering, Shandong Agricultural University | China

Publication Profile

Scopus

PROF. QIANG YUE – A LEADER IN BIG DATA ANALYTICS AND WATER CONSERVANCY RESEARCH 🌐💧

INTRODUCTION 🌟

Prof. Qiang Yue is a prominent academic and researcher at the College of Water Conservancy and Civil Engineering, Shandong Agricultural University, China. Specializing in Big Data Analytics, Prof. Yue has contributed significantly to the field of water conservancy and civil engineering, focusing on the integration of data science and engineering for sustainable solutions. His interdisciplinary approach is helping shape the future of water management systems and infrastructure development.

EARLY ACADEMIC PURSUITS 🎓

Prof. Yue’s academic journey began with a strong foundation in civil engineering and water conservancy. After completing his undergraduate degree, he pursued advanced studies in related fields, obtaining a Master’s and PhD with a focus on big data analytics and its applications in civil engineering and water resources management. His rigorous academic training set the stage for his future contributions to both engineering and data science.

PROFESSIONAL ENDEAVORS 💼

As a faculty member at Shandong Agricultural University, Prof. Yue has played a key role in developing research programs and teaching in the fields of water conservancy and civil engineering. His work bridges the gap between traditional engineering methods and modern data analytics, incorporating advanced technologies like machine learning and AI in the optimization of water resources and infrastructure planning. Prof. Yue has also collaborated with national and international research institutions, contributing to various large-scale projects focused on water management and sustainable civil engineering practices.

CONTRIBUTIONS AND RESEARCH FOCUS ON Big Data Analytics 🔬

Prof. Yue’s research interests lie at the intersection of Big Data Analytics and civil engineering, particularly in the optimization of water conservancy systems. His work focuses on the application of machine learning algorithms, predictive analytics, and real-time data collection to improve the efficiency of water resource management, flood control, and infrastructure development. Additionally, his research aims to enhance the sustainability of civil engineering projects through data-driven decision-making, making significant strides toward smart cities and sustainable environmental practices.

IMPACT AND INFLUENCE 🌍

Prof. Yue’s research has had a profound impact on both the academic community and the industry. His innovative use of Big Data Analytics in water conservancy and civil engineering has transformed how data is used in real-time decision-making, helping optimize water resource management on a large scale. His work influences policy decisions, infrastructure development projects, and sustainability strategies, improving water conservation efforts in China and beyond. Prof. Yue has also mentored a generation of engineers and researchers, sharing his knowledge and experience to cultivate future leaders in the field.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Prof. Yue has authored numerous papers in high-impact journals, with a focus on Big Data Analytics and its applications in water management and civil engineering. His publications cover topics such as predictive modeling, real-time water quality monitoring, and optimization of water distribution systems using machine learning. His research is widely cited in the academic community, reflecting the significance of his work in the integration of Big Data with engineering practices.

HONORS & AWARDS 🏆

Prof. Yue’s exceptional contributions to Big Data Analytics and water conservancy have earned him various honors and awards, including:

  • Best Paper Award, International Conference on Water Management and Engineering (2022)
  • Outstanding Researcher Award, Shandong Agricultural University (2021)
  • Excellence in Teaching Award, College of Water Conservancy and Civil Engineering (2020)
  • Innovation in Data Science Award (2019)

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Prof. Yue’s work is paving the way for the next generation of engineers who will rely on data analytics to create sustainable and efficient infrastructure solutions. His future contributions promise to further the development of smart cities, improve water resource management, and enhance the overall resilience of urban environments to climate change. As he continues to innovate and mentor young engineers, his legacy will endure, shaping the future of civil engineering and environmental sustainability.

FINAL NOTE 📌

Prof. Qiang Yue’s career has been defined by his commitment to applying cutting-edge technology to real-world problems in water conservancy and civil engineering. His research is reshaping how engineers and policymakers approach water management and sustainability. His ability to blend Big Data Analytics with traditional engineering disciplines is a testament to his vision for the future of infrastructure and environmental protection.

 TOP NOTES PUBLICATIONS 📚

Dynamic health prediction of plain reservoirs based on deep learning algorithms
    • Authors: Z., Zhu; Zhaohui, H.; Wu, Hao; Z., Zhang, Zhicheng; R., Wang, Rui; Q., Yue, Qiang
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2025
Recognition and quantification of apparent damage to concrete structure based on computer vision
    • Authors: J., Liu, Jiageng; H., Sun, Hongyu; Q., Yue, Qiang; Y., Jia, Yanyan; S., Wang, Shaojie
    • Journal: Measurement: Journal of the International Measurement Confederation
    • Year: 2025

Shanakar Raman Dhanushkodi | Green electrolysis | Best Researcher Award

Published on by Research Data Analysis

Assoc Prof Dr. Shanakar Raman Dhanushkodi | Green electrolysis | Best Researcher Award

VIT, Vellore | India

Publication Profile

Orcid

ASSOC PROF DR. SHANKAR RAMAN DHANUSHKODI – A LEGACY IN CLEAN ENERGY RESEARCH AND EDUCATION ⚡🌍

INTRODUCTION 🌟

Assoc Prof Dr. Shankar Raman Dhanushkodi is a distinguished academic and researcher currently serving as an Associate Professor at the Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India. With more than two decades of experience, he has made significant contributions to the field of clean energy, specifically in fuel cell technology, electrolyzers, and the application of machine learning in energy systems. Dr. Dhanushkodi’s journey is marked by a blend of research excellence, academic contributions, and industry collaboration that continues to shape the future of energy solutions.

EARLY ACADEMIC PURSUITS 🎓

Dr. Dhanushkodi’s academic journey began in India, where he completed his Bachelor’s in Chemical Engineering from Alagappa College of Technology, Anna University, Tamil Nadu. He further pursued his Master’s in Process Systems Engineering at the University of Regina, Canada, and his Doctor of Philosophy in Chemical Engineering at the University of Waterloo, Canada. His academic foundation laid the groundwork for his pioneering research in electrochemical systems and fuel cell technologies.

PROFESSIONAL ENDEAVORS 💼

Dr. Dhanushkodi has held numerous prestigious positions across various academic and research institutions. His professional journey spans across countries, including India, Canada, and Germany. As an Associate Professor at VIT, he leads cutting-edge research in hydrogen technologies, focusing on fuel cells and electrolyzers. Additionally, he has served as a research consultant, postdoctoral fellow, and even founded his consulting company, Gandhi Energy Storage Systems and Solutions.

CONTRIBUTIONS AND RESEARCH FOCUS ON Green electrolysis 🔬

Dr. Dhanushkodi’s research expertise covers a wide range of areas such as electro-catalysis, membrane testing, fuel cell components, and the development of AI algorithms for chemical systems. His work in clean energy technologies is critical in advancing the efficiency and sustainability of energy systems. As a leading researcher, he has collaborated on global projects involving fuel cells and electrolyzers, while also contributing significantly to the development of diagnostic tools for electrochemical systems.

IMPACT AND INFLUENCE 🌍

Through his research and teaching, Dr. Dhanushkodi has not only contributed to the academic community but also impacted the global energy industry. His research has influenced the design and performance of fuel cells, electrolyzers, and other energy storage systems, helping to accelerate the transition to clean and sustainable energy sources. His collaborations with international institutions and industries have further reinforced his impact.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Dhanushkodi has authored over 15 publications in peer-reviewed journals, contributing to the advancement of knowledge in clean energy technologies and industrial ecology. His work is widely cited in the academic community, underlining the significance and relevance of his research. His focus on developing diagnostic tools for energy systems, particularly for PEM fuel cells and electrolyzers, continues to be a key area of innovation.

HONORS & AWARDS 🏆

Dr. Dhanushkodi’s excellence in research has been recognized through numerous awards and honors, including:

  • Raman Research Award for the paper in desalination and water treatment (2023)
  • Best Paper Award at the International Conference on Art, Education, and Business (2021)
  • Mrs. Chinnamaul Memorial Prize for the Best Technical Paper at CHEMCON (2021)
  • Outstanding Reviewer, Journal of Power Sources (2018)

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Dhanushkodi’s work is far from over. As he continues to mentor young engineers at VIT and collaborate on international research projects, his legacy will undoubtedly inspire future generations. His ongoing research in fuel cell technology, electrolyzers, and machine learning applications in chemical engineering promises to yield groundbreaking solutions to the world’s energy needs. The future of clean energy is brighter, thanks to his vision and dedication.

FINAL NOTE 📌

Dr. Shankar Raman Dhanushkodi is not just a researcher; he is a mentor and a leader in the field of clean energy. His commitment to advancing energy systems and empowering the next generation of engineers and researchers has left an indelible mark on academia and industry alike. His contributions continue to inspire a future where sustainable energy solutions play a pivotal role in addressing global energy challenges.

 TOP NOTES PUBLICATIONS 📚

Development of Deep Learning Simulation and Density Functional Theory Framework for Electrocatalyst Layers for PEM Electrolyzers
    • Authors: Jaydev Zaveri; Shankar Raman Dhanushkodi; Michael W. Fowler; Brant A. Peppley; Dawid Taler; Tomasz Sobota; Jan Taler
    • Journal: Energies
    • Year: 2025
Machine Learning Framework for the Methyl Chloride Production Process
    • Authors: School of Mechanical Engineering, Vellore Institute of Technology; R. Gollangi; K. NagamalleswaraRao; Dhanushkodi Research group, School of Chemical Engineering, Vellore Institute of Technology; S. R. Dhanushkodi; Dhanushkodi Research group, School of Chemical Engineering, Vellore Institute of Technology; N. Mahinpey; Department of Chemical and Petroleum Engineering, University of Calgary
    • Journal: Journal of Environmental Informatics Letters
    • Year: 2024
Development of Semi-Empirical and Machine Learning Models for Photoelectrochemical Cells
    • Authors: Niranjan Sunderraj; Shankar Raman Dhanushkodi; Ramesh Kumar Chidambaram; Bohdan Węglowski; Dorota Skrzyniowska; Mathias Schmid; Michael William Fowler
    • Journal: Energies
    • Year: 2024
Development of Semi Empirical and Machine Learning Models for Photo-Electrochemical Cells
    • Authors: Niranjan Sunderraj; S.R. Dhanushkodi; Ramesh Kumar Chidambaram; B. Węglowski; Dorota Skrzyniowska; Mathias Schmid; Michael William Fowler
    • Journal: Preprint
    • Year: 2024
Design and Manufacturing Challenges in PEMFC Flow Fields—A Review
    • Authors: Prithvi Raj Pedapati; Shankar Raman Dhanushkodi; Ramesh Kumar Chidambaram; Dawid Taler; Tomasz Sobota; Jan Taler
    • Journal: Energies
    • Year: 2024

 

Vinit Vijay Deshpande | Algorithm Development | Best Researcher Award

Published on by Research Data Analysis

Dr. Vinit Vijay Deshpande | Algorithm Development | Best Researcher Award

University of Applied Sciences, Darmstadt | Germany

Publication Profile

Scopus
Orcid

DR. VINIT VIJAY DESHPANDE– BIOGRAPHY 🌱📚

📍 PhD in Computational Mechanics | Researcher, Educator, Innovator

Education 🎓

PhD in Computational Mechanics (Expected Feb 2025)
University of Applied Sciences, Darmstadt, Germany

  • Thesis: “Computational strategies for characterization, reconstruction, and property estimation of ceramic foam” (magna cum laude)
  • Advisor: Prof. Dr. Romana Piat

Master of Technology in Engineering Mechanics (May 2013)
Indian Institute of Technology, Delhi, India

Invited Talks 🗣️

  1. Use of image segmentation to characterize failure modes of struts in ceramic foam under compression
    49th International Conference and Expo on Advanced Ceramics and Composites (ICACC 2025), Daytona Beach, Florida, USA
  2. Application of skeletonization algorithm to investigate failure modes of ceramic foam in uniaxial compression
    4th International Workshops on Advances in Computational Mechanics (IWACOM-IV), Kitakyushu, Japan

Conference Presentations 📅

  • Investigating microstructure failure modes of ceramic foam under uniaxial compression – 16th World Congress on Computational Mechanics (WCCM 2024)
  • Artificial microstructure reconstruction algorithm for stiffness property estimation – 48th ICACC 2024
  • Computational methodology for the relation between volume fraction and compression strength of ceramic foam – 21st International Conference on Fracture and Damage Mechanics (FDM 2023)
    (For the complete list of conferences, refer to the original document.)

Patents 📑

  • 12 Patents on combined braking systems for two-wheelers.
  • 2 Patents on innovative stand concepts for two-wheelers.

Awards & Recognitions 🏆

  • Best Paper Award, Collaborative European Research Conference (CERC) 2020
  • Lieutenant Arpan Banerjee Award for securing the highest CGPA in MTech and D.I.I.T programmes at IIT Delhi (2012-13)

Scholarships 💡

  • Doctoral Fellowship, University of Applied Sciences, Darmstadt
  • DAAD Sandwich Scholarship for master’s thesis in Germany

Teaching Experience 👨‍🏫

  • Teaching Assistant: Laboratory course for ‘Numerical Solutions to Partial Differential Equations’ since Fall 2020

Student Advising 👨‍🎓

  • Supervised 6 Master’s Thesis students in the field of computational mechanics.

Research Interests 🔬

  • Microstructure reconstruction algorithms
  • Constitutive modeling
  • Surrogate modeling using machine learning
  • Microstructure segmentation algorithms

Research Experience  ON Algorithm Development 🧑‍🔬

  • Research Associate – University of Applied Sciences, Darmstadt (Sept 2024 – Present)
    Focus: Conductive polymer composites & microstructure algorithms

  • Scientific Assistant – University of Applied Sciences, Darmstadt (Dec 2019 – Aug 2024)
    Focus: Porous ceramics, fracture modeling, and transfer learning-based neural networks

  • Research Assistant – Karlsruhe Institute of Technology (Sept 2012 – Mar 2013)
    Focus: Topology optimization of carbon-carbon composites

  • Research Assistant – IIT Delhi (June 2012 – Aug 2012)
    Focus: Elastic properties of carbon-carbon composites

Industry Experience 🏭

  • Analyst – Vehicle Dynamics Simulation, Hero MotoCorp (Aug 2013 – Dec 2019)
    Focus: Multibody simulations, vehicle dynamics, stability, ride-comfort, and braking systems
  • Trainee – Computer Aided Engineering, Tata Technologies Ltd (July 2010 – July 2011)
    Focus: Mesh modeling of four-wheelers for safety and durability analysis

Technical Skills 💻

  • Advanced simulation software
  • Computational algorithms for material modeling
  • Finite Element Analysis (FEA) and multibody dynamics simulations
  • Machine learning for data-driven modeling

Top Notes Publications 📚

Biaxial compression failure of brittle foams: A transfer learning-based strategy
    • Authors: Vinit Vijay Deshpande; Romana Piat
    • Journal: Procedia Structural Integrity
    • Year: 2024
Numerical Strategies to Study Compression Failure in Brittle Foams with 3D Realistic Microstructures
    • Authors: Vinit Vijay Deshpande; Romana Piat
    • Journal: Advanced Structured Materials
    • Year: 2024
Numerical studies of the elastic properties of ceramic foam by creation of the artificial microstructures after processing of computed tomographic images
    • Authors: Romana Piat; Vinit Vijay Deshpande
    • Journal: AIP Conference Proceedings
    • Year: 2023
Compression failure of porous ceramics: A computational study about the effect of volume fraction on damage evolution and failure
    • Authors: Vinit Vijay Deshpande; Romana Piat
    • Journal: Mechanics of Materials
    • Year: 2023
Application of statistical functions to the numerical modelling of ceramic foam: From characterisation of CT-data via generation of the virtual microstructure to estimation of effective elastic properties
    • Authors: Vinit Vijay Deshpande; Kay André Weidenmann; Romana Piat
    • Journal: Journal of the European Ceramic Society
    • Year: 2021

Giovanni Scardino | Precision Patterns | Best Researcher Award

Published on by Research Data Analysis

Dr. Giovanni Scardino | Precision Patterns | Best Researcher Award

University of Bari | Italy

Publication Profile

Scopus

Orcid

BIOGRAPHY OF DR. GIOVANNI SCARDINO 🌍

INTRODUCTION 📚

Dr. Giovanni Scardino is an esteemed researcher and educator at the University of Bari Aldo Moro, Italy, specializing in Earth sciences, geomorphology, and coastal dynamics. With an impressive academic journey and a commitment to scientific advancement, Dr. Scardino’s work has earned significant recognition in the field of geoscience. His multifaceted expertise ranges from geophysical science to remote sensing, making him a prominent figure in academia and research.

EARLY ACADEMIC PURSUITS 🎓

Dr. Scardino’s academic journey began with a Bachelor’s degree in Environmental Science from the University of Bari Aldo Moro in 2014. He then pursued a Master’s in Geological and Geophysical Science in 2016, laying the foundation for his future career in geoscience. His academic path reached its peak when he completed his PhD in Geoscience in 2020, after an enriching research experience both in Italy and abroad. He also undertook research stages at CEREGE in Aix-en-Provence, France, and the spin-off Environmental Surveys S.r.l., Italy, which broadened his understanding and expertise in environmental and geological studies.

PROFESSIONAL ENDEAVORS 🏆

Dr. Scardino has served as a researcher at the Department of Earth and Geo-environmental Science, University of Bari Aldo Moro, Italy. He has also been part of the Interdepartmental Research Center for Coastal Dynamics at the same university. His professional career has seen him take on roles as a researcher and supervisor, significantly contributing to the scientific community. Furthermore, Dr. Scardino’s expertise is evident in his role as a supervisor for several PhD and Master’s students, guiding the next generation of geoscientists.

CONTRIBUTIONS AND RESEARCH FOCUS ON  Precision Patterns🌊

Dr. Scardino’s research focuses on coastal geomorphology, climate change, and remote sensing technologies. His work investigates the dynamic interactions between land and ocean, particularly in the context of environmental change. Notable projects include his involvement in the “Medichange” project, focusing on medicane risks in climate change scenarios, and his leadership in various research initiatives related to sea-level changes and coastal dynamics. His scientific contributions help shape policies on coastal management and environmental protection.

IMPACT AND INFLUENCE 🌟

Dr. Scardino’s research has significantly influenced the field of geoscience, particularly in understanding coastal geomorphological changes. His interdisciplinary work across various scientific journals and platforms demonstrates his ability to influence both the academic and practical aspects of coastal management and environmental science. His efforts also extend to editing journals and leading collaborative scientific efforts on an international scale.

ACADEMIC CITATIONS AND PUBLICATIONS 📝

Dr. Scardino has published over 53 research papers, with 40 peer-reviewed articles in prestigious scientific journals. His work spans diverse topics including geomorphology, marine geology, and environmental science. His research has been widely cited, with a total of 626 citations and an H-index of 15, underscoring the impact of his work in advancing geoscientific knowledge.

HONORS & AWARDS 🏅

Dr. Scardino’s contributions to science have been recognized through various awards and honors, including being invited as a guest editor for special issues of prominent scientific journals. His leadership roles, such as serving as an editorial board member for “Earth Sciences” and “Discover Oceans,” further demonstrate the trust placed in his expertise.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Looking ahead, Dr. Scardino is poised to make lasting contributions to the study of coastal dynamics and climate change. His research is vital for the sustainable management of coastal areas in the face of global environmental challenges. With his vision and expertise, Dr. Scardino is set to continue his legacy as a leading figure in the scientific community, fostering new discoveries and innovations in geoscience.

FINAL NOTE ✨

Dr. Giovanni Scardino’s academic and professional journey reflects his dedication to the advancement of geoscience. His ongoing contributions to environmental science, particularly through his research and mentoring, are shaping future generations of geoscientists. As he continues to innovate and lead, Dr. Scardino’s legacy in the field of Earth and coastal sciences will remain influential.

 TOP NOTES PUBLICATIONS 📚

Coastal Boulder Emplacement by Extreme Wave Events Impacting the ABC Islands
    • Authors: G. Scardino, A. Rovere, C. Barile, E.N. Mijts, G. Scicchitano
    • Journal: Quaternary Science Reviews
    • Year: 2025
Coastal Geomorphological Changes from Past to Present
    • Authors: V. De Santis, G. Scardino
    • Journal: Water (Switzerland)
    • Year: 2025
Fingerprinting Mediterranean Hurricanes Using Pre-Event Thermal Drops in Seawater Temperature
    • Authors: G. Scardino, M.M. Miglietta, A. KuShabaha, G. Sabato, G. Scicchitano
    • Journal: Scientific Reports
    • Year: 2024
Two Main Highstands During the Last Interglacial: Insights from Palaeoshorelines and Marine Terraced Deposits Along the Ionian Coast of the Apulia Region, Southern Italy
    • Authors: V. De Santis, P. Montagna, G. Scicchitano, T.J. De Torres Pèrez-Hidalgo, M.A. Caldara
    • Journal: Earth Surface Processes and Landforms
    • Year: 2024
Crustal Uplift Rates Implied by Synchronously Investigating Late Quaternary Marine Terraces in the Milazzo Peninsula, Northeast Sicily, Italy
    • Authors: M. Meschis, D. Romano, M. Palano, S. Morici, M. Longo
    • Journal: Earth Surface Processes and Landforms
    • Year: 2024

Mona ElBannan | Green Finance | Best Researcher Award

Published on by Research Data Analysis

Assoc Prof Dr. Mona ElBannan | Green Finance | Best Researcher Award

German University in Cairo | Egypt

Publication Profile

Google Scholar

MONA A. EL-BANNAN, PH.D. – BIOGRAPHY 🌱📚

INTRODUCTION 👩‍🏫

Mona A. El-Bannan, Ph.D., is a distinguished academician and finance expert. She currently serves as the Vice Dean for Student Affairs and Associate Professor of Finance at the German University in Cairo (GUC). Her extensive career spans over two decades, integrating rigorous academic roles with professional experiences, particularly in finance and banking.

EARLY ACADEMIC PURSUITS 📚

Mona’s academic journey began with a Bachelor’s degree in Economics and Political Science from Cairo University in 1991. She then pursued her Master’s degree in Business Administration (MBA) at the Arab Academy for Sciences and Technology in 2006, graduating with an impressive GPA of 3.86. Following this, Mona earned a Ph.D. in Business Administration with a concentration in Finance from Ain Shams University in 2011. Her dissertation, titled “A Proposed Framework for Bank Governance according to Basel Requirements and the Monetary Policy of Central Bank of Egypt”, significantly contributed to the understanding of financial governance in Egypt.

PROFESSIONAL ENDEAVORS 💼

Mona’s professional career began in the banking sector, where she worked for over 8 years in prominent Egyptian and international banks. She held key roles, including Department Head in Customer Service & Time Deposit at the Egyptian American Bank and Egyptian Gulf Bank. Later, Mona transitioned to academia, teaching at renowned universities such as The German University in Cairo (GUC), American University in Cairo (AUC), and Future University in Egypt (FUE). In addition to her academic responsibilities, Mona has contributed to the development of accounting systems and conducted various business consulting projects in the pharmaceutical sector.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Green Finance🔬

Mona’s research focuses on Green Finance, Corporate Finance, Corporate Governance, Financial Economics, and Bank Management. She explores how finance can drive sustainable development, particularly through green bonds to combat climate change. Her research on corporate governance emphasizes its impact on Egyptian firms, while her studies on financial economics and corporate finance offer valuable insights into corporate decision-making processes, especially in emerging markets.

IMPACT AND INFLUENCE 🌍

Mona’s academic influence extends beyond teaching, as she supervises doctoral dissertations, MSc theses, and MBA theses at GUC and other institutions. She is instrumental in shaping the academic growth of finance students and fostering the development of future leaders in finance. Her teaching methods, coupled with her research contributions, have earned her significant respect in academic circles.

ACADEMIC CITATIONS AND PUBLICATIONS 📖

Mona’s work has been published in various academic journals and she has received multiple citations for her contributions to Green Finance and Corporate Governance. Her research continues to shape how institutions and corporations engage with sustainable finance practices.

HONORS & AWARDS 🏆

Throughout her career, Mona has earned various awards and recognitions for her exceptional teaching, research, and academic leadership. These accolades reflect her dedication to advancing the field of finance and business administration. She has been a member of prestigious organizations such as the European Financial Management Association (EFMA) and the Multinational Finance Society (MFS), which has further extended her professional network.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking ahead, Mona aims to continue shaping the future of finance education and sustainable finance. She is committed to producing groundbreaking research that will influence policy, banking practices, and corporate strategies in the pursuit of sustainable financial systems.

FINAL NOTE ✨

Dr. Mona A. El-Bannan is not only an academician but also a leading voice in finance education and sustainable financial practices. Her commitment to green finance, corporate governance, and financial education ensures her lasting impact on the academic and professional communities.

 TOP NOTES PUBLICATIONS 📚

Effectiveness of Green Bonds in Helping the Environment
    • Authors: MA ElBannan, G Löffler
    • Journal: Journal of Banking & Finance
    • Year: 2024
Catering Behavior and Dividend Sentiment in Emerging Financial Markets
    • Author: MA ElBannan
    • Journal: International Review of Economics & Finance
    • Year: 2020
ESG Ratings, COVID-19 Severity, and Stock Behavior in Emerging Markets
    • Authors: MT Said, MA ElBannan
    • Journal: Review of Accounting and Finance
    • Year: 2024
State Divestitures and Bank Performance in MENA Region
    • Authors: N Elkhayat, MA ElBannan
    • Journal: Asian Economic and Financial Review
    • Year: 2018
Corporate Governance and Accounting Performance: A Balanced Scorecard Approach
    • Authors: MA ElBannan, MA ElBannan
    • Journal: Accounting and Finance Research
    • Year: 2014
Information Content of SFAS 157 Fair Value Reporting
    • Authors: MA ElBannan, MA ElBannan
    • Journal: Journal of International Accounting, Auditing and Taxation
    • Year: 2015

Vladimir Chigrinov | Effective Visualization Techniques | Excellence in Innovation

Published on by Research Data Analysis

Prof. Vladimir Chigrinov | Effective Visualization Techniques | Excellence in Innovation

Hong Kong University of Science and Technology | Hong Kong

Publication Profile

Scopus
Orcid

BIOGRAPHY OF Prof. Vladimir Chigrinov 🌱📚

🌟 INTRODUCTION

Vladimir G. Chigrinov is a distinguished scientist and professor who has significantly contributed to the fields of Liquid Crystal Displays (LCDs) and Solid-State Physics. His groundbreaking research and leadership have made a lasting impact on the development of advanced display technologies and electro-optical systems. Chigrinov’s career spans several decades and has seen him hold prominent roles in academia and research, influencing both the academic and industrial worlds globally.

🎓 EARLY ACADEMIC PURSUITS

Chigrinov’s academic journey began with an M.S. in Applied Mathematics from the Moscow Technical University of Electronics and Mathematics in 1973. He continued his studies at the Shubnikov Institute of Crystallography, USSR Academy of Sciences, where he completed his Ph.D. in Solid State Physics in 1978. His Ph.D. thesis, “Investigation of Instabilities in Nematic Liquid Crystals,” laid the foundation for his future work in Liquid Crystal technology. His subsequent Doctoral and Professor Degrees further cemented his status as an expert in the field.

🔬 PROFESSIONAL ENDEAVORS

Throughout his career, Chigrinov has held key positions in research institutions, including the Organic Intermediates & Dyes Institute (NIOPIK) and the Shubnikov Institute of Crystallography. His leadership roles at these institutions have shaped the research landscape in Liquid Crystal Display (LCD) technology, electro-optical effects, and materials science. He later joined the Hong Kong University of Science and Technology (HKUST), where he contributed to academic research and mentoring students. His vast experience has also led him to serve as a consultant for several international research projects.

💡 CONTRIBUTIONS AND RESEARCH FOCUS ON Effective Visualization Techniques

Chigrinov’s research has focused on advancing Liquid Crystal (LC) technologies, particularly in display applications. His work has involved optimizing LC materials, improving electro-optical behaviors, and creating new display devices like low-power LCDs and ferroelectric liquid crystals (FLCs). His research has pushed the boundaries of display technologies, making them more efficient and versatile. He has also made significant strides in the fields of photo-aligning and photo-patterning, key areas for future development in display industries.

🌍 IMPACT AND INFLUENCE

Chigrinov’s influence extends far beyond the laboratory. He has actively contributed to the global scientific community by collaborating with renowned companies like Samsung, F. Hoffmann La Roche, and Merck. His expertise is sought after for various high-profile advisory and editorial roles in international conferences and journals. He has also been instrumental in shaping the future of display technologies through his advisory positions with organizations like the International Liquid Crystal Society and the Society for Information Displays (SID).

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Chigrinov’s work is widely recognized in academic circles, with numerous publications and citations to his name. His research on liquid crystal alignment and electro-optical effects has become foundational to modern display technologies. His paper, co-authored with other experts, on surface-induced parallel alignment of liquid crystals, remains one of the most cited and influential papers in the field of applied physics.

🏅 HONORS & AWARDS

Chigrinov’s exceptional contributions to the field of liquid crystals and display technology have been recognized with numerous honors. He has received the prestigious Slottow-Owaki Prize for his educational contributions and was awarded the Research Excellence Award at HKUST in 2012. He is a Senior Member of the Society for Information Display (SID) and has also been honored with Gold Medals at the Malaysia Technology Expo. His recognition extends globally, and he continues to receive awards that highlight his impact on the scientific community.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

Chigrinov’s legacy in the field of liquid crystals is undeniable. His pioneering work has laid the groundwork for future advancements in display technologies and photonics. As an educator and mentor, he has inspired a new generation of scientists and engineers who will carry forward his legacy of research excellence. His ongoing involvement in international research projects ensures that his contributions will continue to shape the future of LCD and related technologies.

💬 FINAL NOTE

Vladimir G. Chigrinov is a distinguished figure in the scientific world, known for his innovative contributions to liquid crystal technologies and display systems. His career is a testament to his dedication to advancing scientific knowledge and mentoring future generations of researchers. His work will undoubtedly continue to influence the fields of display technology and photonics for years to come.

📚 TOP NOTES PUBLICATIONS

Photoinduced Interactions in Thin Films of Azo Dyes and Planar-Aligned Nematic Liquid Crystal Crystals
    • Authors: Aleksey Kudreyko, Vladimir Chigrinov, Arina Perestoronina
    • Journal: Crystals
    • Year: 2024
    • DOI: 10.3390/cryst15010022
Photonic Devices with Multi-Domain Liquid Crystal Structures
    • Authors: Aleksey Kudreyko, Vladimir Chigrinov, Kristiaan Neyts, Denis Chausov, Arina Perestoronina
    • Journal: Crystals
    • Year: 2024
    • DOI: 10.3390/cryst14060512
Optical Biosensing of Polarized Light
Professor Sergey Alekseevich Pikin (1941 – 2024)
    • Authors: Efim I. Kats, Vladimir E. Dmitrienko, Eugene M. Terentjev, Vladimir G. Chigrinov, Mikhail A. Osipov, Maxim V. Gorkunov, Anna S. Gorkunova, Boris I. Ostrovskii, Elena S. Pikina
    • Journal: Liquid Crystals Today
    • Year: 2023
    • DOI: 10.1080/1358314X.2023.2359214
Optimisation of Stratified Anisotropic Media for Security Films

Diksha Kumar | Deep learning | Women Researcher Award

Published on by Research Data Analysis

Mrs. Diksha Kumar | Deep learning | Women Researcher Award

Ramrao Adik Institute of Technology (RAIT) | India

Publication Profile

Scopus
Orcid

BIOGRAPHY OF Mrs. Diksha Kumar 🌱📚

INTRODUCTION 🌍

Diksha Kumar is an accomplished research scholar with over 10 years of experience in higher education, currently pursuing her PhD in Computer Engineering at Ramrao Adik Institute of Technology (RAIT), India. Specializing in machine learning, deep learning, and generative AI, she has made significant strides in both research and innovation. She has secured funding for her research through a grant from Mumbai University, India, and holds a patent for an innovative aquatic animal-friendly ocean cleaning system. Through her research endeavors, Diksha has consistently pushed the boundaries of technology to contribute to a cleaner, smarter world. 🌍🔬

EARLY ACADEMIC PURSUITS 🎓

Diksha Kumar’s academic journey began with her intense passion for computer science and technology. As a student, she exhibited a deep curiosity and enthusiasm for computational methods and their real-world applications. Pursuing her undergraduate and master’s degrees, Diksha excelled in every academic pursuit, solidifying her foundation in computer engineering. Her rigorous academic training at Ramrao Adik Institute of Technology (RAIT) laid the groundwork for her current doctoral research, enabling her to delve into cutting-edge areas such as deep learning and machine learning.

PROFESSIONAL ENDEAVORS 👩‍💼

her professional career, Diksha Kumar has worked across various dimensions of academia and research. As a Research Scholar at RAIT, she has engaged in multiple industry-linked research projects. Her pioneering work in image classification and processing has garnered her attention in international academic circles. She has secured prestigious research grants and has become a member of the IEEE, further bolstering her professional credibility. Her practical contributions in the fields of AI and remote sensing have not only garnered attention but are making impactful changes in technology and environmental sustainability.

CONTRIBUTIONS AND RESEARCH FOCUS  ON  Deep learning 🔬

Diksha’s research work is marked by several innovative contributions to deep learning and AI. Her work on adapting Attention U-Net for image classification and combining it with XGBoost to enhance classification accuracy stands out. Additionally, she developed a hybrid model fusing VGG19 with XGBoost for improved image analysis. Moreover, her current focus on a novel cloud removal technique combining Homomorphic Filtering and Gamma Correction holds promise for enhancing image processing techniques. These contributions demonstrate her skill in addressing complex challenges in AI and image processing.

IMPACT AND INFLUENCE 🌟

Diksha Kumar’s research has had a substantial impact on both academia and industry. Her work, which fuses theoretical AI techniques with real-world applications, is paving the way for further advancements in image classification, remote sensing, and environmental protection. The patented aquatic animal-friendly ocean cleaning system showcases her commitment to using technology for environmental conservation, setting an example for researchers seeking to combine innovation with sustainability. Her pioneering work continues to inspire others in the research community and has led to significant strides in the application of deep learning to environmental issues.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Diksha Kumar has earned recognition through her impressive academic citations, reflecting the importance and relevance of her work. With a citation index of 19 and multiple publications in SCI and Scopus-indexed journals, her contributions to image processing, machine learning, and deep learning are well-regarded. Her academic output includes four journal articles, highlighting her prolific and impactful research work. Each publication has been a step forward in the development of AI-driven solutions that address both scientific and practical problems.

HONORS & AWARDS 🏆

Diksha’s commitment to excellence has earned her several accolades and recognitions in her field. Notably, she has been awarded a research grant from Mumbai University, which enabled her to pursue her innovative projects. Additionally, her research achievements are acknowledged through her patent for the aquatic animal-friendly ocean cleaning system. As she continues to make strides in her field, Diksha is a strong contender for the Women Researcher Award, which would recognize her outstanding contributions to research and technology.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Diksha Kumar’s legacy is being shaped by her relentless pursuit of excellence in research and her dedication to the practical applications of AI and deep learning. With future projects focused on advancing image processing techniques and addressing environmental issues, Diksha is positioning herself as a leader in these fields. Her future contributions will not only advance the frontiers of AI but also have a direct and positive impact on society, ensuring that her work continues to inspire and influence the next generation of researchers.

FINAL NOTE ✨

Diksha Kumar is a dynamic researcher whose work in AI, deep learning, and image classification is leaving a lasting impact on the academic and scientific communities. Her innovative solutions and commitment to using technology for the betterment of the environment showcase her ability to combine technical expertise with real-world challenges. As she moves forward with her PhD and her current research projects, Diksha’s work promises to make an even greater impact in the years to come.

TOP NOTES PUBLICATIONS 📚

AUXG: Deep Feature Extraction and Classification of Remote Sensing Image Scene Using Attention Unet and XGBoost
  • Authors: D.G. Kumar, Diksha Gautam, S.Z. Chaudhari, Sangita Zope
  • Journal: Journal of the Indian Society of Remote Sensing
  • Year: 2024

Shaun Suitor | Environmental Economics | Cross-Border Analytics Pinnacle Award

Published on by Research Data Analysis

Dr. Shaun Suitor | Environmental Economics | Cross-Border Analytics Pinnacle Award

University of Tasmania | Australia

Publication Profile

Orcid

Dr. Shaun Suitor 🌍🎓

Environmental & Forestry Expert | Carbon & Natural Capital Specialist | Research Leader

Dr. Shaun Suitor is a dedicated professional with a wealth of national and international experience in public policy, research administration, and forest management. He has made significant contributions in carbon and climate science 🌱, forest management 🌲, and environmental economics 📊, specializing in natural capital accounting 💰 and carbon markets 🌍.

Areas of Expertise 📚

  • Carbon and Climate Science 🌍
  • Team & People Management 👥
  • Forest Management 🌳
  • Carbon & Environmental Markets 💰🌿
  • Forestry Research 🔬
  • Environmental Economics 📊
  • Natural Capital Accounting 💡
  • Auditing and Compliance 📋
  • Fieldwork & Ecological Survey 🌿🔎
  • Forest Resource Analysis 🌲📊
  • Carbon Accounting 🧮🌍
  • Languages (English & French) 🇬🇧🇫🇷

Qualifications 🎓

  • Masters of Economics (2024-25)
    University of New England, Australia
    Dissertation: “Is the forest sector the sleeping giant of Australia’s carbon market?”
  • Graduate Diploma in Economics (2023)
    University of New England, Australia
  • PhD in Forest Science (2008)
    University of Tasmania, Australia
    Thesis: “Factors affecting capsule and seed set in Eucalyptus globulus seed orchards.”
  • Graduate Diploma in Agricultural Science (Honours) (2004)
    University of Tasmania, Australia
    Thesis: “Abnormal Eucalyptus globulus seedlings.”
  • Bachelor of Applied Science (Horticulture) (2003)
    University of Tasmania, Australia

Professional Experience 🧑‍💼

  • Adjunct Senior Researcher – Carbon & Natural Capital Accounting
    University of Tasmania (2022-Present)
  • Strategy Manager – Sustainable Timber Tasmania (2020-Present)
    Key achievements: Registered four ACCU Scheme projects delivering 350,000+ Carbon Credits.
  • Principal Policy Analyst – Resources Policy, Department of State Growth, Tasmania (2019-2020)
  • Manager Monitoring, Evaluation, and Research – DELWP, Victoria (2016-2019)
  • Fire and Emergency Roles – DELWP (2008-2019)
  • Forestry Resource Assessment Officer – United Nations FAO, Rome (2012)

Reports & Publications 📖

  • 15 Publications (H-index: 6, Citations: 102)
  • Focus on carbon, forest monitoring, and environmental economics

Associations, Accreditations, and Training ON Environmental Economics🏅

  • Institute of Foresters Australia 🌳
  • Accreditations: French (DELF A2), Chainsaw Ticket, PADI Diving
  • Training: GIS Mapping, Financial Management, Prince 2 Project Management

TOP NOTES PUBLICATION 📚

Options for Forest Sector Participation in International Carbon Markets: Unlocking the Carbon Market Potential of Australia’s Forest Sector
  • Authors: Shaun Suitor, David Hadley, Fabiano Ximenes
  • Journal: Land
  • Year: 2025

Linyan Zhang | Hydrology and water resources | Best Researcher Award

Published on by Research Data Analysis

Ms. Linyan Zhang | Hydrology and water resources | Best Researcher Award

Hohai University | China

Publication Profile

Scopus

MS. LINYAN ZHANG – A DEDICATED RESEARCHER IN THE FIELD OF HYDROLOGY AND WATER RESOURCE MANAGEMENT 🌍💧

INTRODUCTION 🌍

Linyan Zhang is a passionate and dedicated Ph.D. student at Goethe University in Frankfurt, Germany, specializing in Hydrology and Water Resource Management. Currently pursuing research at the University of Hohai, China, she focuses on dynamic drought identification and flood forecasting, making significant contributions to the global understanding of climate-induced extreme events.

EARLY ACADEMIC PURSUITS 🎓

Linyan Zhang’s academic journey began at Xinyang Normal University, where she earned her Bachelor’s degree in Geographical Sciences, specializing in Physical Geography, Environmental Science, and GIS. This laid a solid foundation for her interest in hydrology, ultimately leading her to further study at the University of Hohai, where she completed her Master’s and is now advancing toward her Ph.D.

PROFESSIONAL ENDEAVORS 👩‍💼

As a researcher, Linyan Zhang has been involved in several prestigious research programs, including the National Key Research and Development Program of China, focusing on the evolution and prediction of global drought trends. Her early work focused on statistical methods to assess meteorological droughts over China, which paved the way for her future research into the impact of climate change on water resources.

CONTRIBUTIONS AND RESEARCH FOCUS  ON  Hydrology and water resources 🔬

Zhang’s research has spanned multiple hydrological domains, particularly focusing on the identification and prediction of droughts and floods in different regions. Her work uses sophisticated hydrological models and climate datasets to predict future water stress scenarios. Additionally, her studies on droughts’ linkages to the El Niño-Southern Oscillation (ENSO) have provided important insights into the role of atmospheric circulation patterns in shaping hydrological extremes.

IMPACT AND INFLUENCE 🌟

Linyan Zhang’s work has had a profound impact on understanding the dynamics of drought and flood events. Her research has significantly improved our ability to predict and manage extreme climate events. As a part of large international projects, she has contributed valuable data and insights that assist policymakers and practitioners in managing water resources effectively amidst the challenges posed by climate change.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Zhang has contributed to several high-impact publications, including journal articles in Journal of Hydrology and Hydrology and Earth System Sciences. Notable among these are her works on estimating non-perennial rivers in altered basins and the dynamic multi-dimensional identification of droughts in Yunnan. Her research continues to contribute to the global scientific community, fostering deeper insights into climate change’s effects on water resources.

HONORS & AWARDS 🏆

Linyan Zhang has received numerous prestigious awards throughout her academic career, including the First Prize Scholarship at Hohai University, an Excellent Reporter Award at the China Annual Conference 2019, and recognition as an excellent student cadre at Xinyang Normal University. Her exemplary achievements reflect her commitment to excellence and her significant contributions to hydrological research.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Zhang’s legacy will undoubtedly be marked by her innovative approaches to predicting and managing hydrological extremes, especially in the face of climate change. Moving forward, her research promises to provide deeper insights into water resources management and flood-drought mitigation, shaping the future of global hydrology.

FINAL NOTE ✨

Linyan Zhang’s journey from a geography student to a leading hydrology researcher is a testament to her dedication to addressing critical water resource challenges. With her comprehensive skills in hydrology, modeling, and programming, her work will continue to have a lasting impact on global water management practices.

TOP NOTES PUBLICATIONS 📚

Title: Estimation of the prevalence of non-perennial rivers and streams in anthropogenically altered river basins by Random Forest modeling: A case study for the Yellow River basin


Authors: Zhang, L., Abbasi, M., Yang, X., Ren, L., et al.
Journal: Journal of Hydrology
Year: 2024 (Accepted)

Title: Dynamic multi-dimensional identification of Yunnan droughts and its seasonal scale linkages to the El Niño-Southern Oscillation

Authors: Zhang, L., Yang, X., Ren, L., et al.
Journal: Journal of Hydrology: Regional Studies
Year: 2022

Title: Temporal-spatial characteristics of drought in the source region of the Yellow River based on CMIP5 multi-mode ensemble

Authors: Zhang Linyan, Zheng Weifei, Yang Xiaoli, Wang Yuqian, Zhang Mengru, Yu Xiaohan
Journal: (In Chinese)
Year: 2019

Title: Spatial and Temporal Characterization of Drought Events in China Using the Severity-Area-Duration Method

Authors: Yang Xiaoli, Zhang Linyan, Wang Yuqian, Vijay P. Singh, Xu Chong-Yu, Ren Liliang, Zhang Mengru, Liu Yi, Jiang Shanhu, Yuan Fei
Journal: Water
Year: 2020

Title: Analysis of flash droughts in China using machine learning

Authors: Zhang, L., Liu, Y., Ren, L., Teuling, A. J., Zhu, Y., Zhang, L. et al.
Journal: Hydrology and Earth System Sciences
Year: 2022

Xin Su | Temporal Data Patterns | Best Researcher Award

Published on by Research Data Analysis

Assoc Prof Dr. Xin Su | Temporal Data Patterns | Best Researcher Award

Wuhan University | China

Publication Profile

Google Scholar

EARLY ACADEMIC PURSUITS 📚

Dr. Xin Su’s academic journey began with his pursuit of a Ph.D. at Télécom ParisTech, where his foundational work in remote sensing and computer vision laid the groundwork for his later breakthroughs. His early research on multi-temporal image processing set the stage for his significant contributions in the field.

PROFESSIONAL ENDEAVORS 💼

Following his postdoctoral research at INRIA, Dr. Su took on the role of Associate Professor at Wuhan University. Over the years, his research has expanded into disaster management and urban development, where he has actively led projects with direct applications for societal benefit.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Temporal Data Patterns🌍

Dr. Su’s most significant contributions are in multi-temporal remote sensing change detection and classification mapping. His research has had tangible effects in managing natural disasters, such as mapping the 2022 Henan flood and the 2023 Turkey earthquake. His focus on extracting actionable information from remote sensing data has provided critical insights for emergency responses and urban development.

IMPACT AND INFLUENCE 🌏

Dr. Su’s research has influenced not only academic thought but also practical applications in various industries. His involvement in projects funded by the National Natural Science Foundation of China has provided the government with tools for urban monitoring, disaster management, and land-use planning.

ACADEMIC CITATIONS 📈

With over 1,000 citations to his work, Dr. Su has garnered recognition for his research, with more than 40 SCI papers published in top-tier journals. His research contributions have significantly advanced the fields of remote sensing and computer vision, ensuring their practical use in tackling global challenges.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Xin Su is poised to leave a lasting legacy in the fields of remote sensing and artificial intelligence. His ongoing research, particularly in urban development and disaster management, will continue to shape the future of environmental monitoring and response strategies.

KEY RESEARCH FOCUS 🔍

  • Remote sensing image processing
  • Multi-temporal remote sensing information extraction
  • Computer vision applications in disaster response and urban planning

COLLABORATIONS AND PARTNERSHIPS 🤝

Dr. Su collaborates with esteemed researchers like Prof. Florence TUPIN (Telecom ParisTech), Prof. Christine GUILLEMOT (INRIA), and others at Wuhan University, including Prof. Liangpei Zhang and Prof. Qiangqiang Yuan, to push the boundaries of remote sensing research.

PROFESSIONAL MEMBERSHIPS 🏅

  • IEEE Member
  • CSIG (China Society of Image and Graphics) Member

AWARD CATEGORY PREFERENCE 🏆

Dr. Su has applied for the Best Researcher Award, underscoring his groundbreaking contributions to remote sensing and AI-driven applications in environmental monitoring and urban planning.

TOP NOTES PUBLICATIONS 📚

Satellite video super-resolution via multiscale deformable convolution alignment and temporal grouping projection
    • Authors: Y Xiao, X Su, Q Yuan, D Liu, H Shen, L Zhang
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Year: 2021
Cloud removal with fusion of high resolution optical and SAR images using generative adversarial networks
    • Authors: J Gao, Q Yuan, J Li, H Zhang, X Su
    • Journal: Remote Sensing
    • Year: 2020
A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery
    • Authors: H Guo, B Du, L Zhang, X Su
    • Journal: ISPRS Journal of Photogrammetry and Remote Sensing
    • Year: 2022
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer
    • Authors: Y Xiao, Q Yuan, J He, Q Zhang, J Sun, X Su, J Wu, L Zhang
    • Journal: International Journal of Applied Earth Observation and Geoinformation
    • Year: 2022
Two-Step Multitemporal Nonlocal Means for Synthetic Aperture Radar Images
    • Authors: X Su, CA Deledalle, F Tupin, H Sun
    • Journal: Geoscience and Remote Sensing, IEEE Transactions on
    • Year: 2014
DymSLAM: 4D Dynamic Scene Reconstruction Based on Geometrical Motion Segmentation
    • Authors: C Wang, B Luo, Y Zhang, Q Zhao, L Yin, W Wang, X Su, Y Wang, C Li
    • Journal: IEEE Robotics and Automation Letters
    • Year: 2020