Irfan Ali Channa | Power System Control | Excellence in Research

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Dr. Irfan Ali Channa | Power System Control | Excellence in Research

Ph.D Scholor, Institute of Automation, Beijing University of Chemical Technology, Beijing China

Irfan Ali Channa is a highly motivated PhD scholar at the Institute of Automation, Beijing University of Chemical Technology in China. He is passionate about innovation in the field of AI, particularly in power systems. Irfan has a strong background in experimental design, literature review, and scientific writing. His career includes significant experience as a lecturer at Bahria Engineering University in Karachi, Pakistan, where he contributed to both academic and engineering solutions.

Education πŸŽ“

Irfan Ali Channa is currently pursuing his PhD at the Institute of Automation, Beijing University of Chemical Technology in Beijing, China, a program he began in 2019 and is expected to complete in 2024. His advanced studies focus on leveraging artificial intelligence to enhance power systems. Prior to this, he developed a solid foundation in engineering education and research during his tenure at Bahria Engineering University in Karachi, Pakistan.

Experience 🏫

From 2014 to 2017, Irfan Ali Channa served as a lecturer at Bahria Engineering University in Karachi, Pakistan. During this period, he was responsible for providing academic services to students, developing engineering solutions, and facilitating research innovations. His role involved extensive interaction with both students and faculty, promoting a collaborative and progressive educational environment.

Research Interests πŸ”¬

Irfan’s research interests lie primarily in the application of artificial intelligence in power systems. He is particularly focused on developing innovative methodologies for the classification and detection of power quality disturbances. His work frequently involves the use of advanced techniques such as deep learning, evolutionary algorithms, and swarm-based optimization. Irfan is also interested in renewable energy sources, as evidenced by his studies on wind potential and photovoltaic modules.

Awards πŸ†

Throughout his academic and professional career, Irfan Ali Channa has received recognition for his contributions to the field of electrical engineering. His innovative research and dedication to advancing power system technology have earned him accolades within the academic community, particularly for his work on power quality disturbances and renewable energy analysis.

Publications Top NotesΒ πŸ“š

  1. A new deep learning method for classification of power quality disturbances using DWT-MRA in utility smart grid
    • Published in: Computers and Electrical Engineering, Elsevier (2024)
    • Read More
    • Cited by: Articles focused on power quality and smart grid technology.
  2. Evolutionary and Swarm Based Optimization of Fit k-Nearest Neighbor Classifier for Classification of Power Quality Disturbances
    • Published in: Electric Power Components and Systems (2023)
    • Cited by: Articles related to optimization algorithms in electrical systems.
  3. Detection and classification of power quality disturbances using STFT and deep neural Network
    • Published in: Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence (2023)
    • Cited by: Research on deep learning applications in power quality analysis.
  4. A comparative study to analyze wind potential of different wind corridors
    • Published in: Energy Reports, Volume 9 (2023)
    • Cited by: Studies on renewable energy and wind power assessment.
  5. Temperature and irradiance based analysis of specific variation of PV module
    • Published in: Jurnal Teknologi, Volume 83(6) (2021)
    • Cited by: Research on photovoltaic module performance under varying conditions.

Ali Razban | Energy Management Award | Research and Development Excellence Award

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Ali Razban | Energy Management Award | Research and Development Excellence Award

Ali Razban, INDIANA UNIVERSITY IUPUI, United States

Dr. Ali Razban is a distinguished academic and seasoned engineer specializing in controls, robotics, and energy management. Holding a Ph.D. from Imperial College, London, and an MBA from Purdue University, he serves as the Director of the Bachelor of Science in Energy Engineering program at IUPUI. With a Professional Engineering License and certifications in Energy Management, Dr. Razban is a recognized leader in his field. He has received numerous accolades, including the Frank E. Burley Distinguished Professor Award. Driven by a passion for innovation and education, he mentors aspiring scholars while contributing significantly to industrial energy efficiency and academic excellence.

publication profile

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Education

Dr. Ali Razban earned his Ph.D. from Imperial College, University of London, specializing in Control, Robotics, and Automation. He holds dual M.S.E. degrees from the University of Michigan in Controls and Signal Processing, and Dynamic Systems and Controls. Further enhancing his expertise, he completed an M.B.A. from Krannert School of Management, Purdue University, focusing on Executive Management.

Professional Awards

His contributions have been recognized with awards such as the IUPUI Favorite Professor Award and the Industrial Assessment Center of Excellence Award.

Research focus

Dr. Ali Razban’s research primarily focuses on energy optimization and control systems in various domains. He has contributed significantly to the implementation of cloud-based Model Predictive Control (MPC) for HVAC systems in educational buildings, aiming to enhance energy efficiency and comfort. Additionally, his work extends to privacy-preserving federated learning for solar photovoltaic generation forecasting and probabilistic regression models for estimating electrical peak demand in commercial buildings. With expertise in HVAC systems, renewable energy integration, and predictive modeling, Dr. Razban’s research endeavors strive to address challenges in sustainable energy utilization, making notable contributions to the field of energy management.

Publication top notes

 

 

Bulut HΓΌner | Renewable Energy | Best Researcher Award

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Dr. Bulut HΓΌner: Renewable Energy

Dr. Bulut HΓΌner is a passionate renewable energy expert with a Ph.D. in Energy Systems Engineering from Erciyes University, Turkey. His doctoral research focused on developing cost-effective gas diffusion electrodes for oxygen evolution in Polymer Electrolyte Membrane (PEM) Electrolyzers, utilizing innovative 3D printing methods. Under the guidance of Prof. Dr. Nesrin Kayataş DEMΔ°R, he achieved a perfect GPA of 4.0. Prior to his Ph.D., he earned his M.Sc. in Energy Systems Engineering, exploring semiconductor synthesis using the sol–gel method. Driven by academic excellence, Dr. HΓΌner is currently a dedicated Lecturer at Osmaniye Korkut Ata University, contributing to the field of energy systems with enthusiasm. 🌱⚑

Professional Profiles:

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Google Scholar

Education:

🌟 Dr. Bulut HΓΌner, a distinguished scholar, completed his Ph.D. in Energy Systems Engineering at Erciyes University, Turkey, where he delved into the innovative realm of renewable energy. His groundbreaking research focused on developing cost-effective gas diffusion electrodes for PEM Electrolyzers using 3D printing technology. Under the guidance of Prof. Dr. Nesrin Kayataş DEMΔ°R, he achieved a perfect GPA of 4.0. Prior to his Ph.D., he earned an M.Sc. at Osmaniye Korkut Ata University, showcasing his expertise in semiconductor synthesis. Dr. HΓΌner is currently a passionate Lecturer, contributing to the academic landscape with his extensive knowledge in energy systems. βš™οΈπŸ”¬

Experience:

πŸŽ“ Dr. Bulut HΓΌner, a dedicated Full-Time Lecturer at Osmaniye Korkut Ata University, contributes significantly to various technical sciences. Specializing in Mechanical Engineering, his expertise spans Hydrogen Technologies, Fuel Cells, Advanced Energy Technologies, and more. His involvement in Automotive Engineering includes a focus on Energy Source and Storage, particularly Fuel Cells. In the realm of Chemical Engineering and Technology, Dr. HΓΌner explores Electrochemical Technologies. In Metallurgical and Materials Engineering, his proficiency extends to Manufacturing Metallurgy, specifically Electroplating or Electrodeposition. Passionate about Renewable Energy, he engages in Electrical and Electronics Engineering, touching upon Alternative Energy Resources and various Renewable Energy Systems. πŸŒβš™οΈ

Research Interest:

πŸ”¬ Dr. Bulut HΓΌner’s research interests revolve around the fascinating world of hydrogen, delving into Hydrogen Energy, Production Methods, and Energy Technologies. His expertise extends to Electrolysis, where he explores innovative approaches. A pioneer in Polymer Electrolyte Membrane Electrolyzers, Dr. HΓΌner contributes to advancing this technology. His focus also includes Fuel Cells, specifically Hydrogen Fuel Cells and Polymer Electrolyte Membrane Fuel Cells, aiming to harness clean energy solutions. With a passion for sustainable technology, he envisions a future where hydrogen plays a pivotal role in shaping a greener, more efficient energy landscape

Conference Papers:

πŸ” Dr. Bulut HΓΌner is a trailblazing researcher in the field of hydrogen and energy systems engineering, with a prolific record of contributions to international conferences. His focus spans Hydrogen Energy, Electrolysis, and Polymer Electrolyte Membrane Electrolyzers. Noteworthy projects include the development of 3D printed polymeric anode electrodes and investigating efficient hydrogen release from metal hydride storage for hydrogen electric vehicles. Dr. HΓΌner’s research extends to thin film coatings for enhanced performance, evaluating hydrogen evolution reactions, and exploring novel electrochemical properties. Currently engaged in multiple ongoing projects, his dedication to advancing clean energy solutions is evident in diverse areas like PEM Electrolyzers and renewable energy applications.

Publication Top Note:
  • Electrodeposition of NiCu bimetal on 3D printed electrodes for hydrogen evolution reactions in alkaline media
    • Author: B. HΓΌner, N. Demir, M.F. Kaya
    • Year: 2022
    • Citation: πŸ“šπŸ”¬
  • Investigation of hydrogen production potential from different natural water sources in Turkey
    • Authors: S. Uysal, M.F. Kaya, N. Demir, B. HΓΌner, R.U. Γ–zcan, Γ–.N. Erdem, M. YΔ±lmaz
    • Year: 2021
    • Citation: πŸ“šπŸŒŠ
  • A new catalyst of AlCu@ ZnO for hydrogen evolution reaction
    • Authors: B. HΓΌner, M. Farsak, E. Telli
    • Year: 2018
    • Citation: πŸ“šβš™οΈ
  • Ni-Pt coating on graphene-based 3D printed electrodes for hydrogen evolution reactions in alkaline media
    • Authors: B. HΓΌner, N. Demir, M.F. Kaya
    • Year: 2023
    • Citation: πŸ“šβš‘
  • Effects of tank heating on hydrogen release from metal hydride system in VoltaFCEV Fuel Cell Electric Vehicle
    • Authors: E. Γ–zdoğan, B. HΓΌner, Y.O. SΓΌzen, T. Eşiyok, Δ°.N. UzgΓΆren, M. KΔ±stΔ±, S. Uysal, …
    • Year: 2023
    • Citation: πŸ“šπŸš—
  • Development of IrO2–WO3 Composite Catalysts from Waste WC–Co Wire Drawing Die for PEM Water Electrolyzers’ Oxygen Evolution Reactions
    • Authors: I.N. UzgΓΆren, B. HΓΌner, S. YΔ±ldΔ±rΔ±m, O. Eren, E. Ozdogan, Y.O. Süzen, …
    • Year: 2022
    • Citation: πŸ“šβ™»οΈ
  • An Overview of Various Additive Manufacturing Technologies and Materials for Electrochemical Energy Conversion Applications
    • Authors: B. HΓΌner, M. KΔ±stΔ±, S. Uysal, I.N. UzgΓΆren, E. Γ–zdoğan, Y.O. Süzen, …
    • Year: 2022
    • Citation: πŸ“šπŸ”„
  • Hydrogen Evolution Reaction Performance of Ni–Co-Coated Graphene-Based 3D Printed Electrodes
    • Authors: B. HΓΌner, N. Demir, M.F. Kaya
    • Year: 2023
    • Citation: πŸ“šβš‘
  • EFFECT OF CU COATING ON THE PHYSICAL AND ELECTROCHEMICAL PROPERTIES OF CONDUCTIVE PLA FILAMENT
    • Authors: M.F. Kaya, N.K. DEMΔ°R, B. HÜNER, R.U. Γ–ZCAN
    • Year: 2019
    • Citation: πŸ“šπŸ”„