Ihsan Ullah | Neural Network | Best Researcher Award

Mr. Ihsan Ullah | Neural Network | Best Researcher Award

Mr. Ihsan Ullah, Abdul Wali khan university Marden Kp Pakistan, Pakistan

Ihsan Ullah is a dedicated researcher in fuzzy systems and artificial intelligence, pursuing an M.Phil in Mathematics at Abdul Wali Khan University, Mardan, Pakistan. With a solid foundation from his BS in Mathematics (CGPA 3.48/4), his research interests include fuzzy decision-making, neural networks, IoT, and multi-criteria decision-making. Ihsan has authored impactful papers in high-impact journals, including IEEE Access and Artificial Intelligence Review. Skilled in MATLAB and Mathematica, he also reviews for prestigious journals like Expert Systems with Applications. Fluent in English, Urdu, and Pashto, Ihsan is passionate about advancing AI for complex decision-making challenges. ๐Ÿ“š๐Ÿ’ปโœˆ๏ธ

 

Publication Profile

Orcid

Google Scholar

Educational Background

Ihsan Ullah is pursuing an M.Phil in Mathematics at Abdul Wali Khan University, Mardan, Pakistan (2023โ€“present), maintaining an impressive CGPA of 3.69/4 (coursework only; thesis ongoing) ๐Ÿ“Š. He holds a BS in Mathematics from the same institution (2019โ€“2023), graduating with a CGPA of 3.48/4. His undergraduate project focused on “Double Hierarchy Hesitant Linguistic Term Set and Their Application to Decision-Making Problems” ๐Ÿค–โœจ. Ihsan is affiliated with the Department of Mathematics at Abdul Wali Khan University ๐Ÿ“ and actively engages in academic platforms like ORCID, Google Scholar, and ResearchGate ๐ŸŒ

Research Interests

Ihsan Ullah’s research is centered around innovative approaches to decision-making and optimization using advanced computational techniques. His interests include fuzzy decision-making systems ๐Ÿค–, artificial neural networks ๐ŸŒ, and fuzzy neural networks, with applications in multi-criteria decision-making and network selection. He explores fuzzy credibility neural networks and optimization techniques to enhance problem-solving. Ihsan also focuses on fuzzy graph theory ๐Ÿ•ธ๏ธ, graph neural networks, and three-way decision-making processes. His work extends to linguistic neural networks ๐Ÿ—ฃ๏ธ, the Internet of Things (IoT) ๐ŸŒ, and fuzzy control systems โš™๏ธ, aiming to create intelligent systems for real-world applications.

 

Publication Top Notes

  • “A new approach to neural network via double hierarchy linguistic information: Application in robot selection”Y Zhang, S Abdullah, I Ullah, F GhaniEngineering Applications of Artificial Intelligence 129, 107581 (Cited by: 30) ๐Ÿ“Š, 2024 ๐Ÿ“…
  • “A new approach to artificial intelligent based three-way decision making and analyzing S-Box image encryption using TOPSIS method”S Abdullah, AO Almagrabi, I UllahMathematics 11(6), 1559 (Cited by: 12) ๐Ÿ“š, 2023 ๐Ÿ“…
  • “Analyzing the deep learning techniques based on three way decision under double hierarchy linguistic information and application”S Abdullah, I Ullah, F KhanIEEE Access (Cited by: 5) ๐Ÿง , 2023 ๐Ÿ“…
  • “Using a fuzzy credibility neural network to select nanomaterials for nanosensors”SS Abosuliman, S Abdullah, I UllahEngineering Applications of Artificial Intelligence 136, 108958 (Cited by: 3) ๐Ÿ”ฌ, 2024 ๐Ÿ“…
  • “Heterogeneous wireless network selection using feed forward double hierarchy linguistic neural network”S Abdullah, I Ullah, F GhaniArtificial Intelligence Review 57(8), 191 (Cited by: 2) ๐ŸŒ, 2024 ๐Ÿ“…
  • “An integrated fuzzy neural network model for surgical approach selection using double hierarchy linguistic information”M Nawaz, S Abdullah, I UllahComputers in Biology and Medicine 186, 109606 (Cited by: 0) ๐Ÿฅ, 2025 ๐Ÿ“…

 

 

 

Orelien BOUPDA | Energy | Best Researcher Award

Dr. Orelien BOUPDA | Energy | Best Researcher Award

Dr. Orelien BOUPDA, Universitรฉ Douala/ENSPD, Cameroon

Born on April 9, 1993, in Douala, Cameroon, Dr. Orelien BOUPDA is a skilled Thermal and Energy Engineer. He holds a Master 2 in Mechanical Energy Research from ENSPD Douala (2021) and a Master 2 in Thermal Energy from ENSAI Ngaoudรฉrรฉ (2016). His expertise spans electromechanics, industrial electricity, refrigeration, air conditioning, and solar energy systems. Dr. BOUPDA is proficient in technical schematics, industrial automation, and photovoltaic installations. Fluent in French and intermediate in English, he thrives in cross-disciplinary environments. An avid traveler and reader ๐Ÿ“šโœˆ๏ธ, he combines technical prowess with a passion for cultural exploration. ๐ŸŒŸ

 

Publication Profile

Orcid

 

Educational Journey

Dr. Orelien BOUPDA has a remarkable academic background in thermal and energy engineering. He earned a Master 2 in Mechanical Energy Research from ENSPD Douala (2020-2021) and a Master 2 in Thermal Energy Engineering from ENSAI Ngaoudรฉrรฉ (2015-2016). He also holds a professional license in Maintenance and Industrial Production (2013-2014) with a focus on Energy and Climate Engineering. Additionally, he completed a BTS in Refrigeration and Air Conditioning at IUG (2012-2013) and obtained his Baccalaureate F5 in Refrigeration and Air Conditioning from Lycรฉe Technique de Nylon Douala (2010-2011). ๐ŸŒ๐Ÿ”งโšก

 

Technical Expertise

Dr. Orelien BOUPDA demonstrates extensive expertise in various technical domains. His skills include industrial automation and electrotechnics, specializing in wiring, coupling, and maintaining electric circuits and motors. He excels in industrial and building electricity, handling design, dimensioning, wiring, and maintenance. Proficient in refrigeration and air conditioning โ„๏ธ, he designs, installs, and maintains cold storage systems and other cooling equipment. His electromechanical skills cover the installation and upkeep of generators. Dr. BOUPDA also specializes in solar energy ๐ŸŒž, particularly in photovoltaic systems, and has advanced proficiency in technical schematics and computer tools. His knowledge reflects versatility and innovation. ๐Ÿš€

 

Research Focus

Dr. Orelien BOUPDA’s research primarily focuses on sustainable energy systems, refrigeration technologies, and thermodynamic analysis. His notable work, Development and exergo-energetic analysis of an energy-efficient solar-assisted transcritical CO2 refrigeration system with two-phase ejector ๐ŸŒ๐Ÿ”ฌ, explores innovative solutions for improving energy efficiency in refrigeration systems using solar energy and advanced thermodynamic processes. This study highlights his expertise in energy conversion, CO2 refrigeration, and eco-friendly technologies aimed at reducing environmental impact. Dr. BOUPDAโ€™s research aligns with global priorities in renewable energy integration and sustainable engineering, making significant contributions to green energy initiatives. โ™ป๏ธ๐Ÿš€

 

Publication Top Notes

Development and exergo-energetic analysis of an energy-efficient solar-assisted transcritical CO2 refrigeration system with two-phase ejector