Samee Ullah Khan | Energy Informatics | Best Researcher Award

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Dr. Samee Ullah Khan | Energy Informatics | Best Researcher Award

Postdoctoral Fellow at Khalifa University, Abu Dahbi, UAE, Aerospace Research and Innovation Center, United Arab Emirates.

Dr. Samee Ullah Khan is a Postdoctoral Fellow and Co-Supervisor at the ARIC Center, Khalifa University, UAE. With extensive academic and research experience across South Korea, UAE, and Pakistan, he specializes in AI-driven solutions for smart surveillance, industrial automation, energy informatics, and computer vision. His interdisciplinary work spans collaborations with global research teams, contributing to high-impact publications and real-time applications in intelligent systems and deep learning.

Professional Profile 

Scopus Profile

Orcid Profile

Google Scholar Profile

Education 🎓📚

  • Ph.D. in Software Engineering
    Sejong University, Seoul, South Korea (2019–2023)
    CGPA: 4.44/4.5
    Dissertation: Discriminative Feature Analysis for Person Re-Identification Using Deep Learning

  • Master’s in Computer Science
    Islamia College Peshawar, Pakistan (2016–2019)
    CGPA: 3.33/4.0
    Dissertation: Efficient Computational Model for Automatic Detection and Classification of DNA Proteins

Professional Experience 🧑‍🏫💼

  • Postdoctoral Fellow, Khalifa University (April 2024–Present)
    AI-based industrial solutions, carbon fiber defect detection

  • Postdoctoral Fellow, Kyungpook National University, South Korea (Sep 2023–Mar 2024)

  • Co-Supervisor, PhD Candidates – Khalifa University (Jan 2025–Present)

  • Lab Coordinator, Intelligent Media Lab, Sejong University (2022–2023)

  • Research Assistant, Sejong University (2019–2022)

  • Research Assistant, Islamia College Peshawar (2016–2019)

Research Interest 🔬📈

  • Deep Learning for Surveillance & Re-Identification

  • AI for Smart Manufacturing and Carbon Fiber Defect Detection

  • Energy Consumption Forecasting and XAI

  • Active Learning, Data Augmentation

  • Computer Vision for Smart Cities

Awards & Recognition

  • Best Researcher Award – Sejong University (2023)

  • Best Paper Award – Korea Next Generation Computing Conference (2023)

  • Best Poster Award – 6th Int’l Conf. on Next Generation Computing (2023)

  • Fully Funded PhD Scholarships (2016, 2019)

Author Metrics

  • Total Citations (Top Publications): 285+

  • Top Journals: Sensors, Expert Systems with Applications, Mathematics, Multimedia Tools and Applications

  • Roles: Lead author on deep learning, smart energy, and Re-ID systems

Publications Top Note 📝

  1. “Towards efficient building designing: Heating and cooling load prediction via multi-output model”
    Sensors, 2020 – Cited by 63

  2. “Deep multi-scale pyramidal features network for supervised video summarization”
    Expert Systems with Applications, 2024 – Cited by 60

  3. “Sequential learning-based energy consumption prediction for residential/commercial sectors”
    Mathematics, 2021 – Cited by 58

  4. “AB-net: Deep learning framework for renewable energy forecasting”
    Mathematics, 2021 – Cited by 54

  5. “Deep-ReID: Autoencoder-assisted image patching for smart city surveillance”
    Multimedia Tools and Applications, 2024 – Cited by 50

Conclusion 🌟🎯

Dr. Samee Ullah Khan is highly suitable for the Best Researcher Award in Energy Informatics. His innovative, interdisciplinary, and internationally recognized contributions, particularly in energy forecasting, AI-driven defect detection, and smart city applications, establish him as a leading figure in next-generation energy systems research.

Xiaoming Zhang | Integrated Energy System | Best Researcher Award

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Dr. Xiaoming Zhang | Integrated Energy System | Best Researcher Award

Lecturer at Inner Mongolia University Of Science and Technology, China.

Dr. Xiaoming Zhang is a researcher in the field of thermal and renewable energy systems. He obtained his Ph.D. from Beijing University of Technology, specializing in Power Engineering and Engineering Thermophysics. With a multidisciplinary background and academic appointments, his work integrates experimental analysis, system modeling, and advanced optimization methods including AI-driven tools for improving energy system efficiency and sustainability. He has contributed to over 10 academic papers and co-authored 2 monographs in his field.

Professional Profile 

Scopus Profile

Education 🎓📚

  • B.Eng. in Thermal Energy and Power Engineering, Inner Mongolia University of Science and Technology, China (2004–2008)

  • M.Eng. in Power Engineering, Inner Mongolia University of Technology, China (2012–2015)

  • Ph.D. in Power Engineering and Engineering Thermophysics, Beijing University of Technology, China (2015–2020)

Professional Experience 🧑‍🏫💼

Dr. Xiaoming Zhang currently serves as a faculty member at the School of Information Engineering, Inner Mongolia University of Science and Technology, where he has been engaged in teaching and scientific research since July 2020. Over the past years, he has actively contributed to the advancement of new energy systems and thermal engineering. Dr. Zhang has successfully led multiple research projects, including one funded by the Inner Mongolia Natural Science Fund, one provincial and ministerial-level talent project, and one enterprise-collaborated horizontal project.

Research Interest 🔬📈

  • New energy development and utilization

  • Integrated energy system planning and optimization

  • Thermal energy storage using molten salt technology

  • Organic Rankine Cycle (ORC) systems

  • Application of machine learning in energy systems

  • Solar thermal power systems

Publications Top Note 📝

1. Zhang X., Ding C., Liang G., Yang P., Wang X.

Title: Research on integrated energy system planning based on the correlation between wind power and photovoltaic output
Journal: IET Renewable Power Generation
Year: 2024
Pages: 1–12
Highlights:

  • Investigates coordinated planning methods for integrated energy systems

  • Focuses on wind-PV output correlation to enhance energy system efficiency

2. Zhang X. M., Zhang C. C., Wu Y. T., Lu Y. W.

Title: Experimental research of high temperature dynamic corrosion characteristic of stainless steels in nitrate eutectic molten salt
Journal: Solar Energy
Volume: 209
Year: 2020
Pages: 618–627
Highlights:

  • Examines corrosion behavior of stainless steel in high-temperature molten salt

  • Provides experimental data for thermal energy storage design

3. Zhang X. M., Wu Y. T., Ma C. F., et al.

Title: Experimental Study on Temperature Distribution and Heat Losses of a Molten Salt Heat Storage Tank
Journal: Energies
Volume: 12(10)
Year: 2019
Article ID: 1943
Highlights:

  • Focus on thermal analysis of heat storage tanks using molten salt

  • Supports optimization of thermal storage in solar power plants

4. Zhang Xiaoming, Wu Yuting

Title: Energy and General Analysis of Trough Solar Thermal Power System
Journal: Journal of Solar Energy
Volume: 42(12)
Year: 2021
Pages: 9–16
Highlights:

  • Provides modeling and efficiency analysis of trough solar thermal systems

  • Useful for improving solar thermal plant design

5. Zhang Xiaoming, Wu Yuting, et al.

Title: Structure Design, Temperature Distribution and Stress Analysis of Large Molten Salt Tank
Journal: Journal of Beijing University of Technology
Volume: 47(9)
Year: 2021
Pages: 1064–1073
Highlights:

  • Covers mechanical stress and heat behavior in large-scale energy storage tanks

  • Combines finite element analysis with experimental validation

Conclusion 🌟🎯

Dr. Xiaoming Zhang is an outstanding candidate for the Research for Best Researcher Award, particularly in the field of Integrated Energy Systems. His research aligns with urgent global priorities—clean energy transition, system resilience, and optimization through AI. With high-quality publications, solid project leadership, and impactful research contributions, Dr. Zhang demonstrates the excellence and forward-thinking innovation the award intends to recognize.

Prof. Dr. Chih-Chiang Hua | Energy | Best Researcher Award

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Prof. Dr. Chih-Chiang Hua | Energy | Best Researcher Award

Prof. Dr. Chih-Chiang Hua | Energy – Professor at National Yunlin University of Science and Technology, Taiwan

Prof. Dr. Chih-Chiang Hua is a distinguished academician specializing in electrical engineering, currently serving as a Distinguished Professor at National Yunlin University of Science and Technology, Taiwan. With a solid foundation in power electronics, renewable energy systems, and uninterruptible power supplies, Dr. Hua has dedicated his career to advancing technological innovations in energy efficiency and system reliability. His extensive research output, coupled with active participation in professional societies like IEEE Power Electronics and Taiwan Power Electronics Association, highlights his influence in the global academic community. 🌍

Profile:

Orcid

Education:

Dr. Hua earned his Bachelor’s degree in Electrical Engineering from National Cheng Kung University, Taiwan, laying the groundwork for his future academic pursuits. He then advanced his studies at the University of Missouri, Columbia, where he obtained both his Master’s and Ph.D. degrees in Electrical Engineering. This academic journey equipped him with a comprehensive understanding of electrical systems, enabling him to delve into complex research areas related to power electronics and renewable energy technologies. 🎓

Experience:

Since 1992, Dr. Hua has been a faculty member at National Yunlin University of Science and Technology, where he has significantly contributed to both teaching and research. His role as a Distinguished Professor reflects his leadership in academia, mentoring graduate students and leading pioneering research projects. Dr. Hua’s professional experience is enriched by his active involvement in international research collaborations, conferences, and editorial roles in reputable journals, fostering a dynamic exchange of knowledge within the academic community. 🏫

Research Interests:

Dr. Hua’s research interests encompass power electronics converters, uninterruptible power supplies, and renewable energy systems. He focuses on developing efficient energy conversion technologies, improving the reliability of power systems, and advancing sustainable energy solutions. His work in designing advanced power converters and hybrid control systems has contributed to the optimization of energy management in various applications, reflecting his commitment to addressing global energy challenges. ⚡

Awards:

Dr. Hua’s contributions to the field of electrical engineering have been recognized through prestigious awards, including the Outstanding Electrical Engineering Professor Award from the Chinese Institute of Electrical Engineering, Taiwan, in 2011. Additionally, he was honored as a Fellow of the Taiwan Power Electronics Association in 2023, acknowledging his significant impact on power electronics research and education. 🏆

Selected Publications:

  1. “A Parallel Dual LLC Resonant Converter with Wide Output Voltage Range for Energy System Applications” (2025)
  2. “A Bidirectional Isolated DC-to-DC Converter with Hybrid Control of Pulse Width Modulation and Pulse Frequency Modulation” (2024)
  3. “High-Efficiency Power Converter Design for Renewable Energy Systems” (2023)
  4. “Advanced Uninterruptible Power Supply Systems for Smart Grids” (2022)
  5. “Innovations in Power Electronics for Sustainable Development” (2021)
  6. “Optimizing Energy Conversion in Hybrid Systems” (2020)
  7. “Development of Intelligent Control Systems for Power Converters” (2019)

Cited By: Dr. Hua’s publications have garnered significant academic attention, with numerous citations reflecting their impact on the field of electrical engineering. 📚

Conclusion:

Chih-Chiang Hua’s exemplary career in electrical engineering, marked by groundbreaking research, academic leadership, and dedication to advancing renewable energy technologies, positions him as an ideal candidate for the Best Researcher Award. His influential publications, recognition by esteemed professional bodies, and commitment to fostering innovation in power electronics underscore his outstanding contributions to science and technology. This nomination not only celebrates his past achievements but also acknowledges his ongoing impact in shaping the future of sustainable energy systems. 🌟