Dr. Jie Lv | Real-time Monitoring | Best Researcher Award

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Dr. Jie Lv | Real-time Monitoring | Best Researcher Award

Dr. Jie Lv, Kunming University of Science and Technology, China

Dr. Jie Lv is the Director of the Teaching and Research Office at Kunming University of Science and Technology, where she also serves as a Graduate Supervisor. She earned her Master’s degree in Land Resource Management and Ph.D. in Earth Exploration and Information Technology from the same institution. With a distinguished academic and research profile, Dr. Lv has led over 20 research projects—both completed and ongoing—and authored 35 peer-reviewed publications, including Tier 1 SCI and EI-indexed journals. Her work focuses on remote sensing applications for environmental monitoring, disaster assessment, and deep learning integration. A patent holder, accomplished author of three academic books, and key contributor to a nationally funded exploration project, Dr. Lv is also an active member of several professional bodies. Her dedication to interdisciplinary research and teaching excellence has significantly advanced geospatial science and remote sensing education in China.

Professional Profile:

ORCID

🏆 Summary of Suitability for Best Researcher Award

Nominee: Dr. Jie Lv
Designation: Director of Teaching and Research Office
Institution: Kunming University of Science and Technology

Dr. Jie Lv is a distinguished academic and researcher whose exceptional contributions to remote sensing, environmental monitoring, and deep learning applications position her as an ideal candidate for the Best Researcher Award. With a robust academic foundation and over a decade of experience, she has demonstrated consistent excellence in both theoretical and applied research.

🎓 Education

  • Ph.D. in Earth Exploration and Information Technology
    Kunming University of Science and Technology – 2014

  • Master’s Degree in Land Resource Management
    Kunming University of Science and Technology – 2011

💼 Work Experience

  • Director of Teaching and Research Office
    Kunming University of Science and Technology
    (Graduate Supervisor for master’s students)
    📌 Focused on remote sensing, disaster monitoring, and deep learning applications in environmental studies.

🌟 Key Achievements

  • 🧪 Research Projects: 10 completed + 11 ongoing

  • 📊 Publications: 35 peer-reviewed journal articles (19 as first/corresponding author)

    • 🥇 3 Tier 1 (SCI-indexed)

    • 🥈 7 Tier 1 (EI-indexed)

    • 🥉 5 in Tier 2 and Tier 3

  • 📚 Books Published:

    • Comprehensive Analysis and Study of Remote Sensing Survey for the Karst Mountainous Environment in Southeastern Yunnan (ISBN: 9787541682094)

    • Principles and Applications of Remote Sensing (ISBN: 978752213822)

    • Applied Research on Regional Eco-environmental Monitoring and Assessment Using Remote Sensing (ISBN: 9787568141963)

  • ⚙️ Patents: 3 granted invention patents, 6 utility model patents, 3 pending patents

  • 🛰️ Collaborative Research:
    National Science and Technology Major Project on Deep Earth Exploration (Total funding: RMB 7.05 million)

🏅 Awards & Honors

  • 🧠 CNKI Scholar – Recognized Editorial Contributor

  • 👩‍🏫 Expert Panel Member – Yunnan Land Evaluation & Registration Association

  • 🧾 Peer Reviewer – Ministry of Education Thesis Inspection System

  • 🌐 Professional Memberships:

    • Geographical Society of China (GSC)

    • China Remote Sensing Application Association (CRSAA)

    • China Association of Higher Education (CAHE)

Publication Top Notes:

Bridge Crack Segmentation Algorithm Based on Improved U-Net

Enhanced Landslide Visualization and Trace Identification Using LiDAR-Derived DEM

Prof. Dr. Elsadig Musa Ahmed | Sensing Technology | Best Researcher Award

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Prof. Dr. Elsadig Musa Ahmed | Sensing Technology | Best Researcher Award 

Prof. Dr. Elsadig Musa Ahmed, Multimedia University, Malaysia

Dr. Elsadig Musa Ahmed Mohammed is a distinguished Professor of Economics and Technology Management at Multimedia University (MMU), Malaysia, recognized among the 2024 World’s Top 2% Scientists by Stanford University. With over two decades of academic experience, he has published extensively in the world’s top 1% and 10% journals, authored the book Green Productivity: Applications in Malaysia’s Manufacturing, and contributed more than 150 peer-reviewed articles indexed in Scopus and Web of Science. Dr. Ahmed’s expertise spans development economics, green productivity, digital and knowledge-based economies, bioeconomy, microfinance, and the interface of economic growth with environment and technology. He has successfully supervised over 30 postgraduate theses, received multiple international research grants—including from the Malaysian Government and the Islamic Development Bank—and served as a reviewer and editorial board member for high-impact journals. His accolades include the 2024 Econometric Best Researcher Award, 2023 Sustainability Pioneers Award (WASD), and Outstanding Reviewer in the Emerald Literati Awards (2021). Dr. Ahmed is also an active contributor to global academic networks and policy think tanks, notably as a member of the Council for Sudanese Experts and Scientists Abroad.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for the Best Researcher Award – Dr. Elsadig Musa Ahmed

Dr. Elsadig Musa Ahmed is highly suitable for the Research for Best Researcher Award based on a distinguished academic and professional track record that spans over two decades. His recognition as a member of the 2024 World’s Top 2% Scientists (Stanford List) and his publications in the Top 1% and Top 10% globally ranked journals demonstrate not only academic excellence but also a sustained global research impact.

🎓 Education

  • Ph.D. in Development Economics – Universiti Putra Malaysia, 2005
    Thesis: Impact of Air and Water Pollutant Emissions on Malaysia’s Manufacturing Sector Productivity Growth

  • M.Sc. in Development Economics – Universiti Putra Malaysia, 1998
    Thesis: Productivity and Performance of Malaysian Food Manufacturing Industry

  • B.Sc. in Agricultural Economics – Al-Azhar University, Cairo, Egypt, 1992

  • High School Certificate – Sudan

👨‍🏫 Work Experience (20+ years)

  • Professor, Multimedia University, Malaysia (2015–Present)
    Teaching postgraduate and undergraduate economics & business subjects. Supervising PhD, DBA, MPhil, MBA students.

  • Associate Professor, MMU (2010–2015)

  • Senior Lecturer, MMU (2008–2010)

  • Lecturer, MMU (2004–2008)

  • Research Assistant, Universiti Putra Malaysia (1998)

  • Storekeeper, Kenana Sugar Company, Sudan (1985–1988)

🏆 Achievements

  • Published in Top 1% and 10% international journals

  • Featured in 2024 Stanford University’s World’s Top 2% Scientists List

  • Authored 150+ international journal papers (Scopus, WoS)

  • Supervised 1 Postdoc, 14 PhDs, 4 DBAs, 3 Masters, 8 MBAs

  • Book author: Green Productivity: Applications in Malaysia’s Manufacturing (2012)

  • Reviewer/editor for top journals: Economic Modelling, Applied Economics, Emerald Publishing, etc.

  • Leader of national & international research initiatives, grant recipient, and consultant for global development and sustainability projects

🏅 Awards & Honors

  • 🥇 2024 Best Researcher Award – Young Scientist Awards

  • 🌱 2023 Sustainability Pioneers Award – World Association for Sustainable Development (WASD)

  • 🌍 Outstanding Presentation & Panelist – 2024

  • 📘 Outstanding Reviewer – Emerald Literati Awards, UK (2021)

  • 📄 Best Paper Award – XXth CEDIMS Conference, Laval University, Canada (2010)

  • 🎖️ Excellent Research Awards & Long Service Award – Multimedia University, Malaysia

Publication Top Notes:

A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring

The Assessment of Sustainable Development Goals Through the Impact of Exploring Digital Technology Innovation and Climate Change Integration, Conflicts and Natural Disasters

Digitalization and Climate Change Spillover Effects on Saudi Digital Economy Sustainable Economic Growth

Palestinian small and medium enterprises digital technology adoption intention

Enhancing environmental quality and economic growth through potential effects of energy efficiency and renewable energy in Asian economies

Testing technological Kuznets curve implications on achieving sustainable development goal 10 in seven Asian countries

Globalization and financial development contributions toward economic growth in Sudan

Dr. Li Qin | Monitoring Award | Best Researcher Award

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Dr. Li Qin | Monitoring Award | Best Researcher Award 

Dr. Li Qin, Zhejiang Ocean University, China

Dr. Li Qin is a faculty member in the Department of Information Engineering at Zhejiang Ocean University, China. He earned his Ph.D. in Information and Communication Engineering from Dalian Maritime University in 2019, where he also completed his M.S. and B.S. degrees. He was a visiting Ph.D. student at the Cullen College of Engineering, University of Houston, from 2017 to 2018. Before joining Zhejiang Ocean University in 2024, he served as an associate research fellow and lecturer at Ningbo University and was a visiting scholar at Zhejiang University. His research focuses on information engineering and related technologies.

Professional Profile:

ORCID

Suitability of Li Qin, Ph.D., for the Best Researcher Award

Dr. Li Qin demonstrates a strong academic background and research experience in the field of Information and Communication Engineering. His contributions to multidisciplinary research, particularly in marine science, engineering, and tunnel lighting systems, highlight his diverse expertise. Below is an evaluation based on key award criteria:

📚 Education

🎓 Ph.D. in Information and Communication Engineering (Mar. 2015 – Jan. 2019)
🔹 Dalian Maritime University, China

🎓 Visiting Ph.D. Researcher (Sept. 2017 – Sept. 2018)
🔹 Cullen College of Engineering, University of Houston, TX, USA

🎓 M.S. in Electronic Science and Technology (Sept. 2013 – Mar. 2015)
🔹 Dalian Maritime University, China

🎓 B.S. in Electronic Information Science and Technology (Sept. 2009 – July 2013)
🔹 Dalian Maritime University, China

🏢 Professional Experience

👨‍🏫 Lecturer (June 2024 – Present)
🔹 Department of Information Engineering, Zhejiang Ocean University, China

🧑‍🔬 Associate Research Fellow (Dec. 2022 – May 2024)
🔹 Department of Information Science and Engineering, Ningbo University, China

🎓 Visiting Scholar (Sept. 2022 – Sept. 2023)
🔹 Ocean College, Zhejiang University, China

👨‍🏫 Lecturer (Jan. 2019 – Dec. 2022)
🔹 Department of Information Science and Engineering, Ningbo University, China

🏆 Achievements, Awards & Honors

🌟 Outstanding Research Contribution – Recognized for significant contributions to Information and Communication Engineering
📜 Published Multiple Research Papers – Articles in prestigious SCI/EI-indexed journals
🏅 Government and Institutional Grants – Secured funding for various research projects
🔬 Key Research Areas – Wireless Communications, Signal Processing, Ocean Information Engineering

Publication Top Notes:

Actual Truck Arrival Prediction at a Container Terminal with the Truck Appointment System Based on the Long Short-Term Memory and Transformer Model

Proposal for a Calculation Model of Perceived Luminance in Road Tunnel Interior Environment: A Case Study of a Tunnel in China

Comparative Study of Energy Savings for Various Control Strategies in the Tunnel Lighting System

Use of Pupil Area and Fixation Maps to Evaluate Visual Behavior of Drivers inside Tunnels at Different Luminance Levels—A Pilot Study

Dynamic luminance tuning method for tunnel lighting based on data mining of real-time traffic flow

Dr. Sergei Badulin | Monitoring Setup Award | Best Paper Award

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Dr. Sergei Badulin | Monitoring Setup Award | Best Paper Award 

Dr. Sergei Badulin, P.P.Shirshov Institute of Oceanology, Russia

Sergei I. Badulin, born on May 7, 1959, in Murmansk, USSR, is a prominent Russian scientist specializing in the theoretical and experimental study of oceanic wave dynamics. He earned his M.Sc. in Aerophysics and Space Research from the Moscow Institute of Physics and Technology in 1982 and later completed his Ph.D. in Physics and Mathematics in 1985. Dr. Badulin’s doctoral research focused on the transformation of internal waves in the hydrological fields of the ocean. In 2009, he earned his D.Sc. with a thesis on the dynamics of surface and internal gravity waves, aiming at sea wave monitoring and forecasting.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Paper Award

Sergei I. Badulin appears highly suitable for the Best Paper Award, based on his extensive academic background, research contributions, and high-impact publications in the field of ocean wave dynamics and remote sensing. His long-standing career at prestigious institutes, such as the P.P. Shirshov Institute of Oceanology and Skolkovo Institute of Science and Technology, further emphasizes his influence in the scientific community.

Education:

  • 1976–1982: Moscow Institute of Physics and Technology (MIPT), Moscow, USSR
    • Degree: MSc in Aerophysics and Space Research, with honors (specialization: aero- and thermodynamics).
  • 1983–1985: Moscow Institute of Physics and Technology, Moscow, USSR
    • Degree: PhD in Physics and Mathematics.
    • PhD Thesis: Transformation of internal waves in inhomogeneities of hydrological fields of the ocean.
  • 2009: D.Sc. Thesis
    • Thesis: Dynamics of surface and internal gravity waves for the problem of monitoring and forecasting sea waves.
  • 1983–1985: Supplementary studies in French at the State Linguistic Extramural Courses.

Work Experience:

  • 2019–Present: Senior Research Scientist, Center for Advanced Studies, Skolkovo Institute of Science and Technology, Moscow, Russia.
  • 2013–Present: Head of the Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 2009–2014: Leading Researcher, P.N. Lebedev Physical Institute, Russian Academy of Sciences.
  • 2012–2013: Leading Researcher, Russian State Hydrometeorological University, St. Petersburg, Russia.
  • 2010–2018: Leading Researcher, Novosibirsk State University, Novosibirsk, Russia.
  • 2000–2012: Leading Researcher, Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 1989–2000: Researcher and Senior Researcher, Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 1985–1989: Junior Researcher and Researcher, Atlantic Branch of P.P. Shirshov Institute of Oceanology, USSR, Kaliningrad, USSR.

International Experience:

  • 1998 (Sep–Nov): Visiting Scientist, Ship Research Institute, Ministry of Transport of Japan.
  • 1996 (Apr–Nov): Visiting Scientist, Laboratoire IOA, CNRS, Marseille, France.
  • 1993 (Jun–Feb): Postdoctoral Fellow, Centre International des Etudiants et Stagiaires, Laboratoire de Luminy, Marseille, France.

Publication top Notes:

CITED: 153
CITED: 139
CITED: 136
CITED: 68
CITED: 61
CITED: 61

Prof. Yankun Peng | Smart Monitoring Award | Best Researcher Award

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Prof. Yankun Peng | Smart Monitoring Award | Best Researcher Award 

Prof. Yankun Peng, China Agricultural University, China

Dr. Peng is a distinguished researcher and professor in the field of Agricultural Engineering with a focus on intelligent detection systems and automated devices for evaluating agricultural product quality and safety. He holds a Ph.D. in Biological and Agricultural Engineering from Tokyo University of Agriculture and Technology, Japan, and has extensive academic and professional experience in both China and the United States. Since 2007, Dr. Peng has served as a Professor and PhD supervisor at the College of Engineering, China Agricultural University (CAU), where he also holds key leadership roles including Director of the National R&D Center for Agro-Processing Technology and Equipment and the National Technical Center for Nondestructive Evaluation, Identification, Instrument, and Equipment of Famous Agro-foods.

Professional Profile:

 

Summary of Suitability for Best Researcher Award 

Dr. Peng has authored 293 peer-reviewed journal articles and 257 conference proceedings, showcasing his prolific research output.He holds 107 patents (including a US patent), with 22 patents industrialized, reflecting his significant contributions to applied science and technology. Additionally, he has developed 18 series of equipment for agro-food quality inspection and grading. Dr. Peng has established 14 standards and authored 4 books and 17 book chapters, demonstrating his leadership in setting benchmarks and contributing to scientific literature.

Education

  • Ph.D. in Biological and Agricultural Engineering
    Tokyo University of Agriculture and Technology, Tokyo, Japan
    Apr. 1993 – Mar. 1996
    Major: Agricultural Engineering, Specialty in Biological Production Science
    Dissertation Title: Active Noise Control on Agricultural/Biological Production Machinery

    • Developed and designed a new type of Active Noise Control (ANC) system/equipment.
    • Proposed a Recurrent Least Squares (RLS) algorithm for noise reduction.
    • Conducted computer simulations of noise reduction effects using C/C++ programming language.
    • Constructed an Adaptive Digital Filter (ADF) system with digital signal processors (DSP) and C/C++ programming.
    • Evaluated the control system on actual machinery and simplified the control algorithm using matrix theory.
  • M.S. in Engineering in Agricultural Electrification & Automation
    Graduate School of Northeast Agricultural University, Harbin, China
    Sep. 1985 – Dec. 1988
    Major: Agricultural Electrification & Automation
    Thesis Title: A Microcomputer Control System for Livestock Granulated Feed Processing

    • Developed a PID feedback control system using a microcomputer.
    • Proposed a new control method for the rotation speed of a servomechanism.
    • Designed a controller using a microcomputer and assembly programming language.
    • Invented a grain flow sensor and applied the control system to livestock feed production.
    • Proposed a method for judging the stability of linear time-invariant systems.

Professional Experience

  • Professor and Ph.D. Supervisor
    Department of Agricultural Engineering, College of Engineering, China Agricultural University (CAU)
    Beijing, China
    Mar. 2007 – Present

    • Research in nondestructive measurement and instrumentation for agricultural product quality and safety.
    • Development of hyperspectral/multispectral and Raman spectral imaging methods for meat microbial contamination detection.
    • Development of rapid real-time inspection/detection systems and NIR optical instruments for agricultural product contaminants.
    • Teaching courses on nondestructive measurement technology and hyperspectral imaging techniques for agro-food quality attributes.
    • Supervised over 60 graduate students in agricultural engineering research.
  • Director, National R&D Center for Agro-Processing Technology and Equipment
    Ministry of Agriculture and Rural Affairs, China
    Nov. 2009 – Present

    • Oversight of national research and development projects related to agro-processing technology and equipment.
  • Director, National Technical Center for Nondestructive Evaluation, Identification, Instrument and Equipment of Famous, Special, Excellent and New Agro-foods
    Ministry of Agriculture and Rural Affairs, China
    Dec. 2019 – Present

    • Leadership in the development and evaluation of nondestructive techniques and equipment for agro-food quality assessment.

Publication top Notes:

Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control

Tailored Au@Ag NPs for rapid ractopamine detection in pork: Optimizing size for enhanced SERS signals

Optimization of Online Soluble Solids Content Detection Models for Apple Whole Fruit with Different Mode Spectra Combined with Spectral Correction and Model Fusion

SERS characterization and concentration prediction of Salmonella in pork

Rapid Quantitative detection of Ractopamine using Raman scattering features combining with Deep Learning

Non-destructive detection of TVC in pork by machine learning techniques based on spectral information