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
Education 🎓📚
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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 🧑🏫💼
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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)
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Co-Supervisor, PhD Candidates – Khalifa University (Jan 2025–Present)
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Lab Coordinator, Intelligent Media Lab, Sejong University (2022–2023)
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Research Assistant, Sejong University (2019–2022)
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Research Assistant, Islamia College Peshawar (2016–2019)
Research Interest 🔬📈
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Deep Learning for Surveillance & Re-Identification
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AI for Smart Manufacturing and Carbon Fiber Defect Detection
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Energy Consumption Forecasting and XAI
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Active Learning, Data Augmentation
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Computer Vision for Smart Cities
Awards & Recognition
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Best Researcher Award – Sejong University (2023)
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Best Paper Award – Korea Next Generation Computing Conference (2023)
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Best Poster Award – 6th Int’l Conf. on Next Generation Computing (2023)
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Fully Funded PhD Scholarships (2016, 2019)
Author Metrics
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Total Citations (Top Publications): 285+
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Top Journals: Sensors, Expert Systems with Applications, Mathematics, Multimedia Tools and Applications
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Roles: Lead author on deep learning, smart energy, and Re-ID systems
Publications Top Note 📝
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“Towards efficient building designing: Heating and cooling load prediction via multi-output model”
Sensors, 2020 – Cited by 63 -
“Deep multi-scale pyramidal features network for supervised video summarization”
Expert Systems with Applications, 2024 – Cited by 60 -
“Sequential learning-based energy consumption prediction for residential/commercial sectors”
Mathematics, 2021 – Cited by 58 -
“AB-net: Deep learning framework for renewable energy forecasting”
Mathematics, 2021 – Cited by 54 -
“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.