Tingwei Zhou | Energy | Best Researcher Award

Prof. Tingwei Zhou | Energy | Best Researcher Award

Prof. Tingwei Zhou, Southwest University, China

Prof. Tingwei Zhou (周廷伟), born in February 1988, is an Associate Professor at the School of Physical Science and Technology, Southwest University, China. A member of the Communist Party, he specializes in theoretical research on material design, optoelectronic device performance, and quantum entanglement, often combining artificial intelligence with physical chemistry. With over 27 SCI papers and an H-index of 18, his work has significantly advanced the understanding of superatomic perovskites. He actively contributes to teaching, high-performance computing infrastructure, and peer-review processes for renowned journals. He is passionate about scientific exploration, education, and interdisciplinary collaboration.

Publication Profile

Scopus

🎓 Education

Prof. Zhou earned his PhD in Optical Engineering from Chongqing University (2016–2019), focusing on the frontier of superatomic materials. He obtained his MSc in Theoretical Physics from Southwest University (2013–2016), where he began his exploration of computational modeling and material theory. His undergraduate degree in Physics was completed at Zunyi Normal College (2009–2013). With a solid educational foundation in both theoretical and applied physics, his academic journey reflects a deep interest in quantum mechanics, materials science, and interdisciplinary research, forming the basis of his innovative approach to perovskite material studies and quantum phenomena. 🧪📚

🧑‍🏫 Experience

Since 2023, Prof. Zhou has served as an Associate Professor at Southwest University, where he previously held a Lecturer position (2019–2023). He has taught core subjects including computational physics, electrodynamics, and linear algebra, with experience in online, offline, and hybrid modes. Zhou has guided numerous undergraduates and postgraduates in research, thesis writing, and publishing. He also built and now manages a high-performance computing lab supporting theoretical modeling. Beyond teaching, he contributes to academic administration, graduate admissions, and collaborative research across physics and engineering disciplines. His experience showcases strong innovation, mentorship, and institutional service. 💻🧑‍🎓

🔬 Research Focus

Prof. Zhou’s research focuses on the design and performance evaluation of superatomic and perovskite materials for applications in energy, optoelectronics, and catalysis. He explores properties like crystal structure, adsorption energy, charge density, and activation energy using first-principles simulations. His interests extend to quantum entanglement theory and integrating artificial intelligence into physical chemistry. He also pioneers theoretical frameworks linking category theory to quantum physics. His published work in top-tier journals highlights advances in device efficiency, defect engineering, and stability mechanisms in functional materials. His cross-disciplinary approach pushes the boundaries of theoretical materials science and quantum innovation. ⚛️🧠💡

Publication Top Notes

📘 Coherence Programming for Efficient Linearly Polarized Perovskite Light-Emitting Diodes – Xiao, M.; Yang, J.; Zhang, W.; Wang, J.; Chen, P. – ACS Nano, 2024 – 📈 Cited by: 1

🌞 Facile Surface Regulation for Highly Efficient and Thermally Stable Perovskite Solar Cells via Chlormequat Chloride – Yang, B.; Lin, P.; Zhou, T.; Cai, B.; Zhang, W. – Chinese Chemical Letters, 2024

🌿 Facile and Sustainable Interface Modulation via a Self-Assembly Phosphonate Molecule for Efficient and Stable Perovskite Photovoltaics – Yang, B.; Cai, B.; Zhou, T.; Zheng, X.; Zhang, W. – Chemical Engineering Journal, 2024 – 🔟 Cited by: 10

🔬 A Construction Method of the Wave–Particle Entanglement State of the Particle System – Zhou, T. – Modern Physics Letters B, 2024

Kumar Mallem | Energy | Best Researcher Award

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

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 GhaniEngineering 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 UllahMathematics 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 KhanIEEE Access (Cited by: 5) 🧠, 2023 📅
  • “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) 🔬, 2024 📅
  • “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) 🌐, 2024 📅
  • “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) 🏥, 2025 📅

 

 

 

Orelien BOUPDA | Energy | Best Researcher Award

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

 

 

Samia Moulebhar | Energy Award | Best Researcher Award

Ms. Samia Moulebhar | Energy Award | Best Researcher Award

Ms. Samia Moulebhar, universite mostaganem, Algeria

Ms. Samia Moulebhar is a dedicated researcher and PhD candidate in Embedded Electronic Systems at Université Mostaganem (2023). With a Master’s in Instrumentation from Université Belhadj Bouchaib Ain Temouchent, her work focuses on applying artificial intelligence to diagnostics and renewable energy solutions. Samia has presented at international conferences on the performance of organic solar cells and has contributed significantly to publications in advanced solar technology, including a paper on optimizing solar cell efficiency using multiobjective genetic algorithms. Proficient in tools like Matlab, SCAPS-1D, and Proteus, Samia also lectures in electronics and physics. 💻📈

 

Publication Profile

Orcid

Academic Background 

Ms. Samia Moulebhar is currently pursuing a PhD in embedded electronic systems (2023) and holds a Master’s in Instrumentation from Université Belhadj Bouchaib Ain Temouchent (2022). Her Bachelor’s in Electrical Engineering focused on electronics, and she has also earned a BTS in database informatics. Proficient in tools such as Matlab, SCAPS-1D, Proteus, and Arduino, she demonstrates strong technical capabilities essential for advanced research in electronics and renewable energy systems.

Research Contributions

Ms. Moulebhar has a solid record of research publications, particularly in the field of organic solar cell technology. She has presented at multiple notable conferences, such as the First National Conference on Material Sciences and Renewable Energy, where she discussed improvements in organic solar cell efficiency, and at the International Conference on Renewable Energies and Power Systems (ICREPS 2024). Her presentation on absorber layer effects in organic solar cells at the Workshop on Sustainability and Advanced Technologies is a testament to her commitment to advancing sustainable energy solutions.

Research Focus

Her published work includes an influential paper on optimizing organic solar cells using hybrid approaches, incorporating NSGA-II, SCAPS-1D simulation, and response surface methodology. This research, featured in physica status solidi (a), showcases her focus on cutting-edge optimization techniques, addressing both performance and efficiency in solar technology.

Professional Experience

With teaching experience at Université Belhadj Bouchaib and roles in instrumentation and computer services, Ms. Moulebhar combines academic research with practical application. This background enhances her capability to bridge theoretical knowledge with real-world applications, particularly in the sustainable energy sector.

Conclusion

Ms. Samia Moulebhar is a promising candidate for the Best Researcher Award due to her focused research on organic solar cell technologies, extensive conference participation, and a track record of published research. Her technical expertise and ongoing contributions to renewable energy systems demonstrate her potential as an innovative researcher in the field of electronics and sustainable technologies.

 

Publication Top Notes

Hybrid Optimization Approach Using Multiobjective Genetic Algorithm NSGA‐II, SCAPS‐1D Simulation, and Response Surface Methodology for Organic Solar Cell Analysis

 

 

Hadi Belhaj | Energy | Best Faculty Award

Hadi Belhaj | Energy | Best Faculty Award

Prof Hadi Belhaj, Khalifa University, United Arab Emirates

Based on the provided information, Prof. Hadi Belhaj appears to be a highly suitable candidate for the Research for Best Faculty Award.

Publication profile

google scholar

  1. Educational Background: Prof. Belhaj holds a Ph.D. in Petroleum Engineering from Dalhousie University, which establishes his strong academic foundation in the field.
  2. Extensive Research Experience: His involvement in numerous funded research projects, including studies on enhanced oil recovery (EOR), CO2 sequestration, and unconventional reservoir engineering, demonstrates his active contribution to advancing petroleum engineering knowledge.
  3. Leadership in Research Projects: Prof. Belhaj has served as the principal investigator on several significant projects, with budgets reaching into the millions of dollars, indicating his ability to lead large-scale research initiatives successfully.
  4. Publications and Contributions: He has authored numerous journal papers and a book on tight oil reservoirs, showcasing his expertise and contributions to academic literature.
  5. Recognition and Awards: Prof. Belhaj has received several prestigious awards, including the SPE International Distinguished Service Award and the SPE Regional Distinguished Achievement for Petroleum Engineering Faculty Award, which recognize his excellence in research and service.
  6. Professional Service and Memberships: His active participation in professional societies like the Society of Petroleum Engineers (SPE) and his role in various committees underline his commitment to the broader engineering community.
  7. Teaching and Mentorship: His roles in mentoring students, advising SPE student chapters, and organizing training programs demonstrate his dedication to education and fostering the next generation of petroleum engineers.

Given these accomplishments and his significant impact on both research and education in petroleum engineering, Prof. Hadi Belhaj is indeed a strong contender for the Research for Best Faculty Award.

Publication top notes

Application of nanotechnology by means of nanoparticles and nanodispersions in oil recovery-A comprehensive review

Ionic liquids as alternatives of surfactants in enhanced oil recovery—A state-of-the-art review

Experimental investigation, binary modelling and artificial neural network prediction of surfactant adsorption for enhanced oil recovery application

Sand-production prediction: a new set of criteria for modeling based on large-scale transient experiments and numerical investigation

Comprehensive transient modeling of sand production in horizontal wellbores

Rock properties evaluation for carbonate reservoir characterization with multi-scale digital rock images

Enhanced oil recovery by nonionic surfactants considering micellization, surface, and foaming properties

 

Minseok Ryu | Energy | Best Researcher Award

Minseok Ryu | Energy | Best Researcher Award

Assist Prof Dr Minseok Ryu, Arizona State University, United States

Dr. Minseok Ryu is an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University, Tempe, AZ. He holds a Ph.D. in Industrial and Operations Engineering from the University of Michigan and an M.S. and B.S. in Aerospace Engineering from KAIST. Dr. Ryu’s research spans advanced scientific computing, privacy-preserving federated learning, and power system resilience. He has held notable positions at Argonne and Los Alamos National Laboratories and has been recognized by the Department of Energy for his highlighted research. He is a member of prominent societies like INFORMS and IEEE. 🌟🧑‍🏫🔬

Publication profile

google scholar

Education 

Her hold a Ph.D. in Industrial and Operations Engineering from the University of Michigan, Ann Arbor, completed in May 2020 🎓. Prior to this, I earned a Master’s degree in Aerospace Engineering from KAIST in Daejeon, Korea, in February 2014 🚀. My academic journey began with a Bachelor’s degree in the same field at KAIST, which I completed in February 2012 ✈️. This extensive background has equipped me with a robust understanding of both industrial systems and aerospace technologies, paving the way for a dynamic and interdisciplinary career 🛠️🌍.

Honors & Awards

In 2024, I had the honor of being an Alliance Fellow with the Mayo Clinic and ASU Alliance for Health Care during their esteemed Faculty Summer Residency program. My research has consistently been recognized, including being highlighted by the Department of Energy’s Advanced Scientific Computing Research in both 2023 and 2022 🌟. My academic journey has been supported by several prestigious awards, such as the Rackham Graduate Student Research Grant from the University of Michigan in 2016 🎓 and multiple fellowships in 2015. Additionally, my early academic achievements include the National Science Foundation Student Award 🏆 and recognition from the Government of Korea for outstanding scholarship 🌍.

Employment 💼

He is currently an Assistant Professor at Arizona State University (since August 2023), after a tenure as a Postdoctoral Appointee at Argonne National Laboratory from 2020 to 2023.

Research focus

M. Ryu’s research spans privacy-preserving federated learning frameworks, including differential privacy and distributed control of optimal power flow in electric grids. They also contribute to distributionally robust optimization techniques for scheduling and staffing problems, particularly in healthcare and power systems. Their work emphasizes practical algorithms and frameworks (like APPFL) for enhancing privacy and efficiency in distributed systems. Additionally, they explore mitigating uncertain impacts of geomagnetic disturbances on electric grids. Overall, M. Ryu’s research integrates optimization, privacy, and robustness into practical applications across diverse domains. 📊🔒

Publication top notes

Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

A Privacy-Preserving Distributed Control of Optimal Power Flow

An extended formulation of the convex recoloring problem on a tree

Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach

Differentially private federated learning via inexact ADMM with multiple local updates

Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach

Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids

Development of an Engineering Education Framework for Aerodynamic Shape Optimization

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx

 

 

Njemuwa Nwaji | Energy Storage Award | Excellence in Research

Dr. Njemuwa Nwaji | Energy Storage Award | Excellence in Research

Dr. Njemuwa Nwaji, Institute of Fundamental Technological Research, Polish Academy of Science, Poland

Dr. Njemuwa Nwaji is a distinguished chemist with a Ph.D. in Chemistry from Rhodes University, South Africa (2016-2018, awarded April 2019) 🧪. She earned her M.Sc. in Organic Chemistry from the University of Central Lancashire, UK (2012-2013, awarded March 2014) 🏴, and her B.Tech. in Industrial Chemistry from the Federal University of Technology, Owerri, Nigeria (2002-2006, awarded October 2006) 🌍. Dr. Nwaji is proficient in various operating systems and software, including Windows and Mac OS, with expertise in vector graphics and photo editing 🖥️. She is fluent in English and Igbo, with basic knowledge of Korean 🇰🇷.

 

Publication Profile

Google Scholar

🎓 Education and Degrees Awarded

Dr. Njemuwa Nwaji holds a Ph.D. in Chemistry from Rhodes University, South Africa, completed between 2016 and 2018, and awarded in April 2019 🧪. She earned her M.Sc. in Organic Chemistry from the University of Central Lancashire, UK, from 2012 to 2013, awarded in March 2014 🏴. She also has a B.Tech. in Industrial Chemistry from the Federal University of Technology, Owerri, Nigeria, completed from 2002 to 2006, and awarded in October 2006 🌍.

🧑‍🏫 Teaching Experiences

Dr. Njemuwa Nwaji served as a Graduate Teaching Assistant at Rhodes University, South Africa, from June 2016 to May 2018. During this time, she contributed significantly to teaching various chemistry courses. For CHE 101 and CHE 102 (General Chemistry), she was part of a team teaching 150 students from diverse backgrounds. She developed practice quizzes and assignments tailored to the course content. In CHE 113, she taught and demonstrated practical experiments for undergraduate students, focusing on organic chemistry lab techniques. Additionally, for CHE 201, she was involved in team teaching a class of 85 students, where she developed and taught topics in spectroscopic methods, and created related quizzes and assignments.

Research Focus

Dr. Njemuwa Nwaji’s research primarily centers on the synthesis and characterization of advanced nanomaterials and their applications in various scientific fields 🧪. She has contributed extensively to the development of nanostructures, including biogenic zinc oxide nanoflowers, and their use in photodegradation and as tyrosinase inhibitors . Her work involves exploring the photophysical and nonlinear optical properties of phthalocyanines and their derivatives, particularly in solutions, thin films, and when conjugated to nanoparticles 🌟. Dr. Nwaji also investigates the potential of these materials for photodynamic therapy and photocatalytic wastewater treatment, highlighting her commitment to sustainable and innovative technological solutions 🌍 .

Publication Top Notes

Green synthesis of biogenic zinc oxide nanoflower as dual agent for photodegradation of an organic dye and tyrosinase inhibitor

Corrosion resistance of aluminum against acid activation: Impact of benzothiazole-substituted gallium phthalocyanine

Improved nonlinear optical behaviour of ball type indium (III) phthalocyanine linked to glutathione capped nanoparticles

Low symmetric metallophthalocyanine modified electrode via click chemistry for simultaneous detection of heavy metals

Glycosylated zinc phthalocyanine-gold nanoparticle conjugates for photodynamic therapy: Effect of nanoparticle shape

Photophysicochemical properties and photodynamic therapy activity of chloroindium (III) tetraarylporphyrins and their gold nanoparticle conjugates

Investigation of photophysicochemical properties of zinc phthalocyanines conjugated to metallic nanoparticles

Nonlinear optical dynamics of benzothiazole derivatized phthalocyanines in solution, thin films and when conjugated to nanoparticles

Synthesis, photophysical and nonlinear optical properties of a series of ball-type phthalocyanines in solution and thin films

Synthesis, photophysical and nonlinear optical properties of a series of ball-type phthalocyanines in solution and thin films