Aslan Gholami | Renewable Energy | Best Researcher Award

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Dr. Aslan Gholami | Renewable Energy | Best Researcher Award

Dr. Aslan Gholami, Shahid Beheshti University, Iran

Dr. Aslan Gholami 🎓🔬 is an accomplished mechanical engineer specializing in energy conversion and renewable energy systems. He earned his Ph.D. from Shahid Beheshti University (2017–2021), focusing on dust impact on photovoltaic panels, graduating with a GPA of 19.25/20. His M.S. (Isfahan University of Technology) and B.S. (University of Tehran) degrees further emphasized solar energy and nano-coating applications. Dr. Gholami, currently an Assistant Professor at Shahid Beheshti University, teaches solar energy and renewable systems. Honored with awards like Iran’s Best Ph.D. Thesis in Energy, he ranks among the top researchers in his field. His work pioneers sustainable energy solutions. 🌍☀️

 

Publication Profile

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Education and Academic Excellence 🎓✨

Dr. Aslan Gholami has an outstanding academic background in mechanical engineering with a focus on energy conversion. He earned his Ph.D. (2017–2021) from Shahid Beheshti University, excelling with a GPA of 19.25/20, where he conducted groundbreaking research on the dust impact on photovoltaic panel performance 🌞📉. His M.S. (2014–2016) from Isfahan University of Technology explored dust accumulation and nano-coating applications, achieving a GPA of 17.93/20 🌪️🧪. He completed his B.S. (2008–2014) at the University of Tehran, focusing on solar energy systems and earning top project scores 💡. A graduate of NODET High School (2004–2008), he consistently demonstrated academic excellence (19.87/20). 🏅

 

Honors and Awards 🏆🎖️

Dr. Aslan Gholami has been recognized for his exceptional academic and research achievements throughout his career. In 2023, he was ranked 1st among all Post-Doctoral Researchers at Shahid Beheshti University 🌟. He also held the top rank among Ph.D. mechanical engineering students in 2021 and won Iran’s Best Ph.D. Thesis Award in Energy from the Iranian Society of Mechanical Engineers 🥇. His accolades include scholarships from the National Elite Foundation and a Visiting Research Full Scholarship 🌍📚. Earlier, he ranked 1st in M.S. studies at Isfahan University and excelled in the Student Physics Laboratory Olympiad in 2007. 🚀

 

Work Experience and Research Contributions 💼🔬

Dr. Aslan Gholami has made significant contributions as an Assistant Professor at Shahid Beheshti University since 2022, teaching courses such as Solar Energy, Renewable Energies, and Energy Systems Design 🌞📚. He has also conducted advanced software training, including PVsyst, PVsol, and RETScreen 💻. Dr. Gholami investigated solar panel cleaning methods 🌍🔧. His work as a Research Assistant involved international collaborations with universities in Oman, Australia, France, Iraq, and Thailand, focusing on solar energy research 🔬🌐. Notably, he contributed to establishing Solar Thermal and Photovoltaic Laboratories and enhancing solar and wind energy industries’ resilience in collaboration with the National Elite Foundation 🚀⚡.

Research Focus

Dr. Aslan Gholami specializes in solar energy and renewable energy systems, with a particular focus on the impacts of dust accumulation on photovoltaic performance 🌍⚡. His research covers experimental and theoretical studies on solar panel efficiency, self-cleaning coatings, and multi-generation energy systems. Dr. Gholami also investigates photovoltaic modeling, sustainable energy solutions, and the effects of harsh weather conditions on solar energy technologies 💻🌡️. Collaborating internationally, his work supports cleaner energy production and resilience in renewable systems. His expertise extends to software training and optimization of renewable energy technologies for sustainable futures 🌿🚀.

 

Publication Top Notes

  • 🌞 Experimental investigation of dust deposition effects on photo-voltaic output performance – Cited by 292, 2018
  • 🌬️ Experimental study of factors affecting dust accumulation and their effects on the transmission coefficient of glass for solar applications – Cited by 194, 2017
  • 🧴 Experimental study of self-cleaning property of titanium dioxide and nanospray coatings in solar applications – Cited by 104, 2017
  • 🔧 Comprehensive analysis of a multi-generation energy system by using an energy-exergy methodology for hot water, cooling, power and hydrogen production – Cited by 102, 2018
  • ☀️ Photovoltaic potential assessment and dust impacts on photovoltaic systems in Iran – Cited by 94, 2020
  • 🌍 Experimental investigation of a multi-generation energy system for a nearly zero-energy park: A solution toward sustainable future – Cited by 77, 2019
  • 🤖 Multi-criteria photovoltaic potential assessment using fuzzy logic in decision-making: A case study of Iran – Cited by 59, 2020
  • 🏭 Integrated an innovative energy system assessment by assisting solar energy for day and night time power generation: Exergetic and Exergo-economic investigation – Cited by 59, 2018
  • 🔋 Electrical, thermal and optical modeling of photovoltaic systems: Step-by-step guide and comparative review study – Cited by 56, 2022
  • ☄️ Impact of harsh weather conditions on solar photovoltaic cell temperature: Experimental analysis and thermal-optical modeling – Cited by 51, 2023
  • 🌪️ Dust impact on photovoltaic/thermal system in harsh weather conditions – Cited by 51, 2022

 

 

Ihsan Ullah | Neural Network | Best Researcher Award

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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. 📚💻✈️

 

Publication Profile

Orcid

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Educational Background

Ihsan Ullah is pursuing an M.Phil in Mathematics at Abdul Wali Khan University, Mardan, Pakistan (2023–present), maintaining an impressive CGPA of 3.69/4 (coursework only; thesis ongoing) 📊. He holds a BS in Mathematics from the same institution (2019–2023), 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” 🤖✨. Ihsan is affiliated with the Department of Mathematics at Abdul Wali Khan University 📍 and actively engages in academic platforms like ORCID, Google Scholar, and ResearchGate 🌐

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 🤖, artificial neural networks 🌐, 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 🕸️, graph neural networks, and three-way decision-making processes. His work extends to linguistic neural networks 🗣️, the Internet of Things (IoT) 🌐, and fuzzy control systems ⚙️, 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 Ghani – Engineering Applications of Artificial Intelligence 129, 107581 (Cited by: 30) 📊, 2024 📅
  • “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 Ullah – Mathematics 11(6), 1559 (Cited by: 12) 📚, 2023 📅
  • “Analyzing the deep learning techniques based on three way decision under double hierarchy linguistic information and application” – S Abdullah, I Ullah, F Khan – IEEE Access (Cited by: 5) 🧠, 2023 📅
  • “Using a fuzzy credibility neural network to select nanomaterials for nanosensors” – SS Abosuliman, S Abdullah, I Ullah – Engineering Applications of Artificial Intelligence 136, 108958 (Cited by: 3) 🔬, 2024 📅
  • “Heterogeneous wireless network selection using feed forward double hierarchy linguistic neural network” – S Abdullah, I Ullah, F Ghani – Artificial Intelligence Review 57(8), 191 (Cited by: 2) 🌐, 2024 📅
  • “An integrated fuzzy neural network model for surgical approach selection using double hierarchy linguistic information” – M Nawaz, S Abdullah, I Ullah – Computers in Biology and Medicine 186, 109606 (Cited by: 0) 🏥, 2025 📅

 

 

 

Orelien BOUPDA | Energy | Best Researcher Award

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Dr. Orelien BOUPDA | Energy | Best Researcher Award

Dr. Orelien BOUPDA, Université 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 Ngaoudéré (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 📚✈️, he combines technical prowess with a passion for cultural exploration. 🌟

 

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 Ngaoudéré (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 Lycée Technique de Nylon Douala (2010-2011). 🌍🔧⚡

 

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 ❄️, 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 🌞, particularly in photovoltaic systems, and has advanced proficiency in technical schematics and computer tools. His knowledge reflects versatility and innovation. 🚀

 

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 🌍🔬, 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. BOUPDA’s research aligns with global priorities in renewable energy integration and sustainable engineering, making significant contributions to green energy initiatives. ♻️🚀

 

Publication Top Notes

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

 

 

Jeyraj Selvaraj | Energy Award | Best Researcher Award

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Prof Dr. Jeyraj Selvaraj | Energy Award | Best Researcher Award

Prof Dr. Jeyraj Selvaraj, Universiti Malaya,Malaysia

Prof. Dr. Jeyraj Selvaraj is a distinguished academic with expertise in Power Electronics. He holds a PhD from the University of Malaya, Malaysia, specializing in the field. With a strong educational background, including an M.Sc from the University of Birmingham & University of Nottingham, U.K., and a B.Eng from Multimedia University, Malaysia, he brings a wealth of knowledge to his role. Currently serving as a Professor at the University of Malaya since December 2022, he previously held the position of Associate Professor starting from July 2015. His dedication to research and teaching is matched only by his passion for advancing the field of electronics engineering. 🎓

 

Publication Profile

Google Scholar

Education

PhD in Power Electronics, University of Malaya, Malaysia (2005 – 2009). M.Sc in Power Electronics & Drives, University of Birmingham & University of Nottingham, U.K (2003 – 2004). B.Eng in Electronics Engineering, Multimedia University (MMU), Malaysia (1998 – 2002)

Academic Employment

Professor at University of Malaya (December 2022 – Present). Associate Professor at University of Malaya (July 2015 – December 2022). Senior Lecturer at University of Malaya (September 2009 – July 2015)

Research Focus

Dr. J Selvaraj’s research primarily revolves around the intersection of renewable energy, particularly solar photovoltaic systems, and power electronics. With a keen interest in advancing grid-connected PV systems, Dr. Selvaraj’s work encompasses various aspects such as inverter design, maximum power point tracking, and control methods. His contributions span from innovative converter topologies to advanced control algorithms, all aimed at enhancing the efficiency, reliability, and integration of solar power into the grid. Through his research, he seeks to address critical challenges and pave the way for a sustainable energy future.

 

Publication Top Notes

  • “Global prospects, progress, policies, and environmental impact of solar photovoltaic power generation” 🌍 Published in 2015, cited by 845.
  • “Multilevel inverter for grid-connected PV system employing digital PI controller” 🔌 Published in 2008, cited by 800.
  • “Single-phase seven-level grid-connected inverter for photovoltaic system” ☀️ Published in 2010, cited by 572.
  • “Fuzzy-logic-controller-based SEPIC converter for maximum power point tracking” 🤖 Published in 2014, cited by 420.
  • “Multistring five-level inverter with novel PWM control scheme for PV application” 🌞 Published in 2009, cited by 411.
  • “Role of smart grid in renewable energy: An overview” 📊 Published in 2016, cited by 385.
  • “Energy policy to promote photovoltaic generation” ⚡ Published in 2013, cited by 239.
  • “Control methods and objectives for electronically coupled distributed energy resources in microgrids: A review” 🔄 Published in 2014, cited by 216.
  • “Energy policy and alternative energy in Malaysia: Issues and challenges for sustainable growth–An update” 🇲🇾 Published in 2018, cited by 214.
  • “A review of the islanding detection methods in grid-connected PV inverters” 🏝️ Published in 2013, cited by 212.
  • “Two side serpentine flow based photovoltaic-thermal-phase change materials (PVT-PCM) system: Energy, exergy and economic analysis” 🔄 Published in 2019, cited by 205.

Huseyin Bekir YILDIZ | Energy Award | Best Researcher Award

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Prof Dr. Huseyin Bekir YILDIZ | Energy Award | Best Researcher Award

Prof Dr. Huseyin Bekir YILDIZ, Bartıin University, Turkey

Prof. Dr. Huseyin Bekir YILDIZ is a versatile academic with expertise in chemistry, materials science, and engineering. He holds a Ph.D. in Chemistry from Middle East Technical University and has held numerous academic positions worldwide. Currently serving as Director of Central Research Laboratory and Professor of Mechanical Engineering at Bartin University, he’s recognized for pioneering research in nanotechnology, solar energy, and biosensors. His leadership extends to administrative roles and his accolades include prestigious awards like TEKNOFEST Gold Medal. 🎓🔬🌞 His innovative projects, including biodegradable solar cells, showcase his commitment to sustainable technology.

 

Publication Profile

Google Scholar

Educational Background 🎓:

Prof. Dr. Huseyin Bekir YILDIZ earned his Bachelor’s, Master’s, and Ph.D. degrees in Chemistry from Middle East Technical University, Ankara, Turkey. His doctoral research focused on synthesizing and characterizing conducting copolymers, exploring their electrochromic properties and enzyme immobilization under the supervision of Prof. Dr. Levent Toppare.

Awards and Recognitions 🏆:

He has garnered numerous accolades for his pioneering work, including prestigious awards like TEKNOFEST Gold Medal and recognition from various universities and organizations for his innovative research contributions.

Research Focus

Prof. Dr. Huseyin Bekir Yildiz’s research focus primarily revolves around the development and application of novel biological photovoltaic (BPV) cells and conducting polymers. His work explores the synthesis and characterization of materials for efficient solar energy conversion, including cyanobacteria-based BPV cells and polymeric composites. Additionally, he delves into electrochromic properties and bioelectrochemical devices, aiming to advance sustainable energy technologies. Through interdisciplinary approaches, Prof. Yildiz contributes significantly to the fields of nanotechnology, photoelectrochemistry, and biosensors, fostering innovations for greener energy solutions. 🌱⚡🔬

Publication Top Notes :

Design of a Novel Green Algae‐Based Biological Photovoltaic Cell with High Photocurrent and a Photoelectrochemical Biosensing Approach Utilizing the BPV for Pesticide Analysis …
Hydrogen and Photocurrent Generation By Conductive Biopolymer/Cyanobacteria Based Biological Photovoltaics Via Photosynthesis and Respiratory System

 

Abdulla Al Mamun | Regenerative Power | Best Researcher Award

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Mr. Abdulla Al Mamun | Regenerative Power | Best Researcher Award

Mr. Abdulla Al Mamun, Green University of Bangladesh, Bangladesh

Abdulla Al Mamun is a dedicated graduate in Electrical and Electronics Engineering from Green University of Bangladesh 🎓. He possesses strong interpersonal skills and a passion for applying his knowledge to real-world challenges. With a keen interest in renewable energy, he conducted research on integrating PV-based energy production into urban infrastructure. As a Vice President of the Department of EEE, he showcased leadership and organizational skills. His academic achievements include publications in esteemed journals and presentations at international conferences 🌍. Abdulla is committed to making a positive impact in his field and beyond.

 

Publication Profile:

Scopus

Education and Qualification :

Abdulla Al Mamun pursued his Bachelor of Science in Electrical and Electronics Engineering (EEE) at Green University of Bangladesh, graduating between 2019 and 2023 🎓. Prior to that, he completed his Higher Secondary School Certificate at Noakhali Science & Commerce School & College from 2016 to 2018, followed by his Secondary School Certificate at K.B Union High School from 2014 to 2016. These educational experiences provided him with a strong foundation in academics and laid the groundwork for his subsequent achievements in the field of engineering and renewable energy research 📚.

Research Experience:

Abdulla Al Mamun’s research experience showcases his dedication to advancing renewable energy solutions. His paper titled “Integrating PV-based energy production utilizing the existing infrastructure of MRT-6 at Dhaka, Bangladesh” was accepted in Heliyon ELSEVIER Journal and presented at esteemed international conferences, including the 10th International Conference on Power System and the 2023 5th International Conference on Sustainable Technologies for Industry 5.0. Additionally, his work was acknowledged at the 10th International Power System Conference and the FoNeS-AIoT 2024 2nd International Conference, highlighting his contributions to the field of sustainable energy 📝.

Research Focus:

Abdulla Al Mamun’s research focus spans various areas, including renewable energy, deep learning, IoT-based systems, and predictive modeling using artificial intelligence. His notable contributions include research on integrating PV-based energy production into urban infrastructure, as well as developing deep learning approaches for lane marking detection and heart disease prediction. Additionally, he has explored topics such as smart energy metering systems and the inhibitory potential of natural compounds in diabetic complications. These diverse interests showcase his commitment to innovation and addressing contemporary challenges in technology and healthcare 🌱🔬.

Publication Top Notes:

 

Integrating PV-based energy production utilizing the existing infrastructure of MRT-6 at Dhaka, Bangladesh

Serum creatinine phosphokinase: A potential prognostic marker in assessing clinical severity with organophosphorus poisoning

A comprehensive review on clinically proven natural products in the management of nerve pain, with mechanistic insights

A deep learning approach for lane marking detection applying encode-decode instant segmentation network

IoT-Based Smart Energy Metering System (SEMS) Considering Energy Consumption Monitoring, Load Profiling and Controlling in the Perspective of Bangladesh