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.

Teshome Lindi Kumissa | power systems | Best Researcher Award

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Teshome Lindi Kumissa | power systems | Best Researcher Award

Dr. Teshome Lindi Kumissa, Hawassa University Institute Of Technology Faculty of Electrical Engineering , Ethiopia.

Publication profile

Orcid

Education 🎓

  • Ph.D. Candidate: Power System Planning & Management, Addis Ababa University (Defense Remaining)
  • M.Sc.: Electrical Engineering (Power Engineering), Adama Science & Technology University (2008–2010)
  • B.Sc.: Electrical-Electronics Technology, Adama Science & Technology University (1998–2002)
  • Advanced Diploma: Electrical Engineering, Bahirdar Polytechnic Institute (1991–1994)

Experience 🧑‍🏫

  • Senior Lecturer: Electrical & Computer Engineering, Hawassa University (1995–2012)
  • Dean/Vice Dean: SERE Bonga TVET College, Ethiopia (1995–2012)

Suitability For The Award

Dr. Teshome Lindi Kumissa, a Ph.D. candidate and Senior Lecturer in the Department of Electrical and Computer Engineering at Hawassa University, has made significant contributions to the field of power systems engineering. With an impressive academic and professional background spanning over two decades, he has a proven track record in research, teaching, and leadership, making him a commendable nominee for the Best Researcher Award.

Professional Development 

Dr. Teshome Lindi Kumissa has demonstrated exceptional expertise in power systems, renewable energy, and electrical engineering innovation 💡. His professional development includes advanced training in transient stability analysis, power electronics, and renewable energy systems 🌱. He has contributed to groundbreaking research on voltage stability and dynamic security tools, leveraging SCADA systems for enhanced grid reliability. Dr. Kumissa’s dedication extends to mentoring students and designing sustainable energy solutions for communities, such as solar PV systems for rural Ethiopia ☀️. A thought leader in his field, he actively participates in research reviews and collaborates on impactful projects addressing global energy challenges. 🌍⚡

Research Focus 

Awards and Honors

  • 🎓 Ph.D. Candidacy Achievement: Recognized for significant contributions to power system stability analysis tools.
  • 📜 Publications: Multiple peer-reviewed articles in high-impact journals (e.g., Energies, Electricity).
  • 🌱 Rural Energy Solutions: Recognized for impactful solar PV design projects in Ethiopia.
  • 🛠 Engineering Innovation: Contributions to power system tools and renewable energy integration.

Publoication Top Notes

  • Transient Stability-Based Fast Power System Contingency Screening and Ranking 📰, Electricity (2024) | DOI: 10.3390/electricity5040048 | Cited by: 0
  • Adaptive Order and Step-Size Differential Transformation Method-Based Power System Transient Stability Simulation ⚡, Australian Journal of Electrical and Electronics Engineering (2024) | DOI: 10.1080/1448837x.2024.2359210 | Cited by: 0
  • Fast Power System Transient Stability Simulation 🌐, Energies (2023) | DOI: 10.3390/en16207157 | Cited by: 0

 

Assist Prof Dr. Mahmoud Samiei Moghaddam | Energy Systems Award | Network Protocols Excellence Award

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Assist Prof Dr. Mahmoud Samiei Moghaddam | Energy Systems Award | Network Protocols Excellence Award

Assist Prof Dr. Mahmoud Samiei Moghaddam, Islamic Azad University, Iran

🎓 Dr. Mahmoud Samiei Moghaddam, Ph.D. in Electrical Engineering from Khaje Nasir Toosi University of Technology, is an adept educator skilled in teaching electrical engineering courses and overseeing student projects. With expertise in designing and implementing telecommunication, CCTV, and paging systems, as well as establishing electrical laboratories, he brings a wealth of practical knowledge. In his extensive career, he has held key managerial positions at Aerospace Industries Organization and Islamic Azad University, showcasing strong leadership abilities. Dr. Moghaddam’s research pursuits, spanning space vector modulation, hybrid power systems control, voltage regulator optimization, and wireless charging for electric vehicles, have significantly contributed to the field, evident through his published papers and active involvement in conferences. 🔬

🌐 Professional Profile:

Scopus

🎓 Qualifications and Education:

Dr. Mahmoud Samiei Moghaddam holds a Ph.D. in Electrical Engineering from Khaje Nasir Toosi University of Technology. He possesses expertise in teaching electrical engineering courses, guiding student projects at various academic levels, and designing, installing, and commissioning telecommunication systems, CCTV systems, and paging systems. Additionally, he is proficient in designing and setting up electrical laboratories.

💼 Work Experience:

With a rich executive background, Dr. Moghaddam has served as the Manager of the Telecommunication Systems Group at the Aerospace Industries Organization and as the Manager of the Electrical and Electrotechnical Group at Damghan Branch of Islamic Azad University. He has also held roles as the Head of the Electrical and Computer Group and the Senior Electrical Group at the university, showcasing his leadership and managerial skills.

🔬 Research and Academic Achievements:

Dr. Moghaddam’s research contributions include numerous published papers in esteemed conferences and journals, covering topics such as space vector modulation, control of hybrid power systems, optimization of voltage regulators, and wireless charging systems for electric vehicles. He has also actively participated in conferences, presented papers, and undertaken research projects, demonstrating his commitment to advancing the field of electrical engineering.

Scopus Metrics:

  • 📝 Publications: 46 documents indexed in Scopus.
  • 📊 Citations: A total of 23 citations for his publications, reflecting the widespread impact and recognition of Dr. Moghaddam’s research within the academic community.

Publications Top Notes :

  1. Stochastic security-constrained transmission and energy storage expansion planning considering high penetration of renewable energy in integrated gas-electricity networks
    • Published in Energy Storage in 2024
  2. Bi-level Stochastic Optimization Model for Coordination of Transmission and Distribution Networks Considering Generic Resources
    • Published in the Journal of Electrical Engineering and Technology in 2024
  3. Multi-area distribution grids optimization using D-FACTS devices by M-PSO algorithm
    • Published in Energy Reports in 2023
  4. Stochastic Security-constrained Unit Commitment Considering Electric Vehicles, Energy Storage Systems, and Flexible Loads with Renewable Energy Resources
    • Published in the Journal of Modern Power Systems and Clean Energy in 2023
  5. Stochastic Dynamic Reconfiguration in Smart Distribution System Considering Demand-Side Management, Energy Storage System, Renewable and Fossil Resources and Electric Vehicle
    • Published in the Journal of Electrical Engineering and Technology in 2023