Burhan Abdullah | Renewable Energy | Best Researcher Award

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Dr. Burhan Abdullah | Renewable Energy | Best Researcher Award

Dr. Burhan Abdullah | Sharda University | India

Dr. Burhan Abdullah is a dedicated researcher specializing in Electrical and Renewable Energy Engineering, with expertise in artificial intelligence–driven optimization for photovoltaic (PV) systems, microgrids, and power quality enhancement. His research focuses on intelligent inverter control and maximum power point tracking (MPPT) techniques to maximize solar PV performance and improve grid integration efficiency. Dr. Burhan Abdullah interdisciplinary work bridges AI, machine learning, and sustainable energy systems to address challenges in renewable energy transition and climate change mitigation. He has contributed significantly to data-driven forecasting, hybrid optimization algorithms, and smart grid stability analysis. His publications in high-impact Q1 SCI-indexed journals such as Energies and Frontiers in Energy Research highlight his advancements in hybrid AI algorithms, incremental conductance control, and energy forecasting models. Beyond research, he actively engages in mentoring, scholarly writing, and peer reviewing for reputed journals including Springer Nature and Contemporary Mathematics. 40 citations indexed in Scopus across 6 documents and an h-index of 4, Dr. Burhan Abdullah’s contributions underscore his growing influence in intelligent renewable energy systems and sustainable power technologies.

Profile: Scopus | Google Scholar | ORCID 

Featured Publication

Abdullah, B. U. D. (2025). Comparative analysis using multiple regression models for forecasting PV power generation. Energies, Q1, SCI.

Abdullah, B. U. D. (2025). Hybrid artificial ecosystem optimizer and incremental conductance MPPT controlled PV system. Energies, Q1, SCI.

Abdullah, B. U. D. (2024). IoT-based solar monitor system. IEEE Explorer.

Abdullah, B. U. D. (2023). Application of AI in MPPT for solar power systems: Review. ICAIM 2023.

Abdullah, B. U. D. (2023). Performance and reliability of microgrid with PV units. In Taylor & Francis (Book Chapter).

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.