Kumar Mallem | Energy | Best Researcher Award

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Dr. Kumar Mallem | Energy | Best Researcher Award

Dr. Kumar Mallem, Hong Kong University of Science and Technology, Hong Kong

Dr. Kumar Mallem is a researcher in electronic and computer engineering, specializing in quantum rod light-emitting diodes (QRLEDs) and advanced optoelectronic materials. He is pursuing a Ph.D. at the Hong Kong University of Science and Technology (HKUST), focusing on next-generation display and lighting applications. His research spans quantum dot and quantum rod LEDs, perovskite solar cells, and silicon-based photovoltaics. Dr. Mallem has extensive experience in device fabrication and characterization, with multiple high-impact publications and patents. Recognized with prestigious awards, including the Distinguished Paper Award at SID Display Week 2025, he continues to advance energy-efficient lighting technologies.

Publication Profile

Google Scholar

Education 🎓

Dr. Kumar Mallem is currently pursuing a Ph.D. in Electronic and Computer Engineering at HKUST (2020–2025) under Prof. Abhishek Kumar Srivastava, focusing on quantum rod light-emitting diodes for future display applications. He earned an M.Tech. in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, Kakinada (2012–2014), conducting research on HfO₂/Ge stacks for MOS devices at IIT Bombay under Prof. Saurabh Lodha. His B.Tech. in the same field was completed at AGCIT, JNTU Kakinada (2007–2011). His educational background integrates semiconductor device engineering, optoelectronics, and materials science, equipping him with expertise in advanced display and photovoltaic technologies.

Experience 🏆

Dr. Kumar Mallem has significant research experience in optoelectronics and semiconductor devices. Since 2020, he has been a Ph.D. researcher at HKUST, developing quantum rod LEDs and optimizing their efficiency. From 2015 to 2019, he worked as a research assistant at Sungkyunkwan University, South Korea, under Prof. Junsin Yi, specializing in silicon solar cells, thin-film transistors (TFTs), and MOS devices. His hands-on expertise includes device fabrication, nanomaterials assembly, and advanced characterization techniques. His work contributes to energy-efficient display technologies and next-generation solid-state lighting.

Awards & Honors 🏅

Dr. Kumar Mallem has received several prestigious recognitions, including the Distinguished Paper Award at SID Display Week 2025 for his work on highly efficient QRLEDs. He was awarded the Hong Kong PhD Fellowship Scheme (2020–2025) for academic excellence. He also won the Excellent Paper Award at the Asia-Pacific Forum on Renewable Energy in 2018. His contributions to optoelectronic devices and energy-efficient lighting technologies have earned him international recognition, reflecting his impact in advancing quantum dot and nanomaterial-based displays.

Research Focus 🔬

Dr. Kumar Mallem specializes in quantum rod and quantum dot light-emitting diodes, perovskite LEDs, silicon solar cells, and advanced optoelectronic materials. His research aims to enhance device efficiency, suppress charge leakage, and improve external quantum efficiency for high-performance display and lighting technologies. He works extensively with solution-processed nanomaterials, carrier injection engineering, and interface optimization to develop next-generation optoelectronic devices. His contributions to solid-state lighting and energy-efficient display technologies push the boundaries of modern photonic applications.

Publication Top Notes

  • Quantum‐Rod On‐Chip LEDs for Display Backlights with Efficacy of 149 lm W−1 |  Advanced Materials | 55 | 2021
  • Molybdenum oxide: A superior hole extraction layer for Si solar cells | Materials Research Bulletin | 53 | 2019
  • Influence of small size pyramid texturing on Ag-screen printed Si solar cells | Materials Science in Semiconductor Processing | 45 | 2018
  • Control of size and distribution of silicon quantum dots for solar cells | Renewable Energy | 33 | 2019
  • Ultralow roll‐off quantum dot LEDs using engineered carrier injection layer | Advanced Materials | 30 | 2023
  • Ambient annealing influence on MoOx layer for carrier-selective contact solar cells | Materials Science in Semiconductor Processing | 29 | 2019
  • MoOx work function & interface analysis for hole-selective Si heterojunction solar cells | Applied Surface Science | 24 | 2021
  • Solution-processed red, green, and blue quantum rod LEDs | ACS Applied Materials & Interfaces | 22 | 2022
  • High-efficiency crystalline silicon solar cells: A review  | 19 | 2019
  • Light scattering properties of multi-textured AZO films for Si thin film solar cells |  Applied Surface Science | 19 | 2018

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

Google Scholar

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