Metwally Rashad | Energy | Best Researcher Award

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Dr. Metwally Rashad | Energy | Best Researcher Award

Dr. Metwally Rashad, Prince Prince Sattam Bin Abdulaziz University, Saudi Arabia

Dr. Metwally Rashad is an Assistant Professor of Computer Science at the Faculty of Computers & Artificial Intelligence, Benha University, Egypt. He earned his Ph.D. in Computer Science from the University of Pannonia, Hungary, specializing in image processing and computer vision. With over 18 years of academic experience, he has taught a wide range of courses, including artificial intelligence, medical image processing, and computer graphics. Dr. Rashad has published extensively in high-impact journals and conferences, with notable work in object recognition, video summarization, and medical image retrieval. He has supervised numerous M.Sc. and Ph.D. students and actively contributes to research in AI, deep learning, and data mining. He holds leadership roles within his faculty, including executive director of the IT unit and faculty board member. A recipient of international publishing awards, Dr. Rashad is a committed researcher with global exposure and a strong background in both teaching and applied research.

Publication Profile

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🎓 Academic Qualifications

Dr. Metwally Rashad has pursued a progressive academic path rooted in mathematics and computer science. He earned his B.Sc. in Mathematics in 2002 from the Faculty of Science at Benha University, Egypt. In 2006, he completed a two-year Diploma in Computer Science from the Institute of Statistical Studies and Research (ISSR) at Cairo University, reflecting his growing interest in computational systems. Building on this foundation, he completed a Pre-master program in Computer Science at Benha University in 2008. His M.Sc., awarded in 2013 from the same institution, focused on string representation for efficient mining and searching over string databases. Dr. Rashad advanced his academic career further by earning a Ph.D. in Computer Science from the University of Pannonia, Hungary, in 2018. His doctoral research centered on video-based object retrieval and recognition using lightweight devices, aligning with cutting-edge developments in image processing and computer vision. His qualifications demonstrate a consistent dedication to both theoretical and applied computing sciences.

👨‍🏫 Professional Positions

Dr. Metwally Rashad has built a robust academic career through progressive roles at Benha University, Egypt. He began as a Demonstrator in the Department of Mathematics (Computer Science), Faculty of Science, from 2004 to 2009. In 2010, he transitioned to the Faculty of Computers & Informatics, continuing as a Demonstrator in the Information System Department until 2011. His dedication and academic growth led to his promotion as an Assistant Lecturer in the same department, a position he held from 2012 to 2017. In 2018, Dr. Rashad was appointed Assistant Professor in the Information System Department, Faculty of Computers & Artificial Intelligence. Since April 2020, he has been serving as an Assistant Professor in the Computer Science Department of the same faculty. Throughout his tenure, Dr. Rashad has demonstrated strong commitment to research, education, and leadership, contributing significantly to the development of the academic and research landscape at Benha University.

🔬 Research Interests

Dr. Metwally Rashad’s research interests encompass a wide range of cutting-edge topics in computer science and artificial intelligence. He specializes in exact and approximate matching, with a strong focus on similarity search and similarity join techniques, which are vital for efficient data comparison and retrieval. His work also explores data cleaning and integration methods, enhancing the quality and usability of large datasets. Dr. Rashad is deeply engaged in database systems and data mining, aiming to extract meaningful patterns from complex data structures. His research extends into the fields of cryptography, image processing, and computer vision, where he applies innovative techniques for object recognition and image analysis. Additionally, he is active in machine learning and deep learning, leveraging these technologies to solve real-world problems. A significant portion of his work involves video processing and artificial intelligence applications, making his contributions highly relevant in today’s data-driven and multimedia-intensive landscape

📘 Teaching

Dr. Metwally Rashad has taught a wide array of undergraduate and postgraduate courses in computer science and artificial intelligence, reflecting his deep expertise and versatility as an academic. His teaching portfolio includes foundational programming languages such as C++, Java, and Matlab, as well as critical subjects like Data Structures, Algorithms, and File Structures. He has also delivered advanced courses in Artificial Intelligence, Machine Learning, and Expert Systems, along with specialized topics like Image Processing, Medical Image Processing, and Computer Vision. Dr. Rashad’s instruction covers essential theoretical areas, including Theory of Computation, Logic Design, Discrete Mathematics, and Structural Programming. He is also experienced in teaching Information Systems, Database Design, Compiler Construction, and Security. His course offerings further extend to emerging and interdisciplinary areas like Information Visualization, Multimedia, Computer Graphics, and Operations Research. This comprehensive teaching background underscores his commitment to fostering technical excellence and innovation among his students.

🏅 Grants and Awards

Dr. Metwally Rashad has been recognized for his impactful research through multiple prestigious awards and grants. He was honored with the International Publishing Prize and Citations from Benha University on two separate occasions—first in January 2018 and again in July 2020—in acknowledgment of his significant contributions to high-impact scientific publications. In addition to these accolades, Dr. Rashad secured a post-doctoral research grant from the Tempus Public Foundation (TPF), supporting his research stay at the Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of Pannonia, Hungary, from February to May 2020. These recognitions not only highlight his excellence in publishing and international collaboration but also reflect his sustained commitment to advancing knowledge in computer science and artificial intelligence. His achievements stand as a testament to his academic leadership and contribution to global research innovation.

🔍 Research Focus

Dr. Metwally Rashad’s research primarily centers around Artificial Intelligence (AI), Computer Vision, and Data-Driven Healthcare Systems, with a strong interdisciplinary approach linking image processing, machine learning, and information retrieval. His most cited works involve irony detection in Arabic tweets, medical image retrieval, video object recognition, and string similarity join algorithms—reflecting his deep engagement with natural language processing (NLP), deep learning, and visual data analytics. A recurring theme in his publications is the development of lightweight, efficient models for video summarization, emotion recognition, and 3D object retrieval, optimized for low-resource environments. Additionally, he contributes to healthcare technologies through AI-assisted diagnosis, content-based retrieval in medical imaging, and melanoma detection using deep neural networks. His research aligns with the growing global emphasis on AI for smart healthcare, secure cloud computing, and intelligent multimedia processing, making him highly suitable for recognition in advanced computational and AI-powered research categories

Publication Top Notes

📘 BENHA@ IDAT: Improving Irony Detection in Arabic Tweets using Ensemble Approach – Cited by 31 (2019) 🧠🗣️📊
📘 RbQE: An Efficient Method for Content-Based Medical Image Retrieval Based on Query Expansion – Cited by 17 (2023) 🖼️🧬📥
📘 PreJoin: An Efficient Trie-Based String Similarity Join Algorithm – Cited by 9 (2012) 🧵📚🔍
📘 View Centered Video-Based Object Recognition for Lightweight Devices – Cited by 8 (2016) 🎥🔎📱
📘 CCNN-SVM: Emotion Recognition with Custom CNNs and SVM – Cited by 7 (2024) 😊📈🧠
📘 Content-Based Medical Image Retrieval Based on Deep Features Expansion – Cited by 7 (2022) 🏥🧠🔎
📘 Use of IMUs for Video Object Retrieval in Lightweight Devices – Cited by 7 (2017) 🎥📡🤖
📘 Lightweight Active Object Retrieval with Weak Classifiers – Cited by 6 (2018) 📽️📊🧠
📘 Lightweight Video Object Recognition Based on Sensor Fusion – Cited by 5 (2015) 📹📡🔀
📘 Modern Techniques in Content-Based Medical Image Retrieval: A Survey – Cited by 4 (2022) 🏥📚📈
📘 Active Multiview Recognition with Hidden Markov Temporal Support – Cited by 4 (2021) 🧠📽️🔁
📘 Efficient String Edit Similarity Join Algorithm – Cited by 4 (2017) 🧵📝⚙️
📘 Fusion of Optical and Orientation Info in Markovian Framework for 3D Object Retrieval – Cited by 4 (2017) 🎥📐📊
📘 Automatic Melanoma Detection Using Deep Neural Networks – Cited by 2 (2024) 🧬🧠⚕️

Williams Ossai | Renewable Energy | Best Researcher Award

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Mr. Williams Ossai | Renewable Energy | Best Researcher Award

Mr. Williams Ossai, Summit Media, United Kingdom

Mr. Williams Ossai is a Data and Analytics Specialist at Summit Media, Hull, UK 🇬🇧. He holds a Master’s degree in Artificial Intelligence and Data Science 🤖📊 from the University of Hull, with an academic background in Physics/Electronics ⚡. His work spans energy, media, and healthcare sectors, where he applies machine learning for impactful decision-making. Williams is actively involved in research on renewable energy adoption 🌱 and dementia in cancer populations 🧠, utilizing UK Biobank data. His contributions bridge innovation and social impact, transforming complex data into actionable insights for sustainability, healthcare improvement, and global development

Publication Profile

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🎓 Academic & Professional Background

Mr. Williams Ossai is a skilled Data and Analytics Specialist with a Master’s degree in Artificial Intelligence and Data Science 🤖📊 from the University of Hull, and an academic foundation in Physics/Electronics ⚡. His career spans key sectors including energy ⚡, media 🎥, and healthcare 🏥, where he employs advanced analytics and machine learning to derive actionable insights. Beyond his professional role, he conducts applied research, notably modeling renewable energy adoption 🌱 and examining dementia prevalence in cancer populations 🧠 using UK Biobank data. His work seamlessly connects industry innovation with impactful research for measurable social progress

🚀 Research & Innovations

Mr. Williams Ossai is actively contributing to impactful applied research projects using machine learning 🤖 and data science 📊. His completed works include predictive modelling for renewable energy adoption in developing countries 🌍⚡, and an enhanced ML approach for forecasting solar energy integration ☀️. Currently, he is exploring the association between physical activity and dementia in cancer populations 🧠🏃‍♂️ using large-scale health data. These interdisciplinary studies bridge environmental sustainability and healthcare analytics. While his citation index is currently at zero, his ongoing projects hold strong potential for academic recognition and real-world application

🔍 Areas of Research

Mr. Williams Ossai’s research spans several high-impact domains at the intersection of technology and society 🌍. His core focus lies in Applied Machine Learning 🤖, where he develops intelligent systems for real-world decision-making. He is deeply engaged in Renewable Energy Analytics ⚡🌱, building predictive models that support sustainable energy transitions. His work in Health Data Science 🧬🏥 leverages big data to improve population health outcomes. Additionally, he specializes in Predictive Modelling for Social Impact 📈💡, using data-driven strategies to solve global challenges. These interdisciplinary areas reflect his commitment to innovation, sustainability, and measurable social progress.

Publication Top Notes

📘 Machine Learning-Based Predictive Modelling of Renewable Energy Adoption in Developing Countries
📘 An Improved Machine Learning Approach for Predicting Solar Energy Adoption in Developing Countries
📘 Exploring the Association Between Physical Activity and Dementia in Cancer Populations

Alejandro Zepeda | Sustainable Process | Best Researcher Award

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Prof. Dr. Alejandro Zepeda | Sustainable Process | Best Researcher Award

Prof. Dr. Alejandro Zepeda, Universidad Autonoma de Yucatan, Mexico

🔬 Prof. Dr. Alejandro Zepeda Pedreguera is a Full Researcher Professor at Universidad Autónoma de Yucatán, Mexico. With 21+ years of academic experience, his research focuses on sustainable processes, nanotechnology, and environmental biotechnology 🌱🧪. He has guided 47 students across undergraduate to postdoctoral levels and authored 48 journal articles 📚. His work emphasizes the impact of nanomaterials on water quality and microbial communities. With an h-index of 17 and 998+ citations 📈, Prof. Zepeda collaborates globally with institutions like Rice University and UNAM 🌎. He is also a member of Sigma Xi and recipient of the 2024 Best Undergraduate Thesis Award

Publication Profile

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🎓 Education Background

Prof. Dr. Alejandro Zepeda Pedreguera holds a robust academic foundation in chemical and biotechnological engineering. He earned his Bachelor’s degree in Chemical Engineering in 1997 from the Technological Institute of Orizaba 🏫. Continuing at the same institution, he completed his Master’s in Chemical Engineering in 2000, focusing on advanced process engineering and sustainability 🔬. In the same year, he obtained his Ph.D. in Biotechnology (DBT) from the Metropolitan Autonomous University of Iztapalapa, where he deepened his expertise in molecular biology and environmental bioprocesses 🧬. His academic journey laid the groundwork for his impactful interdisciplinary research career

🏅 Academic Positions & Distinctions 

Prof. Dr. Alejandro Zepeda has held prestigious academic positions throughout his career as a Full Researcher-Professor 🧑‍🏫. Since 2011, he has served at the Autonomous University of Yucatán, where he continues to lead research in sustainable bioprocesses 🌱. Prior to that, he contributed significantly at the Technological Institute of Orizaba (2009–2011) and the Polytechnic University of Pachuca (2004–2009), nurturing academic growth and innovation 🧪. His contributions have earned him membership in Mexico’s National System of Researchers (SNI) at Level II since 2014, recognizing his high-impact scientific work and dedication to national research excellence

🔬 Research Focus

Prof. Dr. Alejandro Zepeda’s research centers on the development and optimization of sustainable processes and bioprocesses that bridge environmental protection and technological advancement 🌍. His work explores the use of nanomaterials and biocatalysts to enhance water quality, reduce toxic waste, and improve industrial efficiency 🧪. Through kinetic studies, biosystems modeling, and microbial community analysis, he advances solutions for environmental sustainability while minimizing human health risks 🧫. This interdisciplinary approach integrates chemistry, biotechnology, and molecular biology, promoting green innovation and responsible science for the future of industrial and environmental systems

Publication Top Notes

📘 “Effects of ultrasonic pretreatment on the solubilization and kinetic study of biogas production…” – 108 citations (2017) 🧪♻️
📘 “A hybrid MOF–reduced graphene oxide nanomaterial for selective removal of chromate…” – 105 citations (2020) ⚛️💧
📘 “Enhancing anaerobic digestion of sewage sludge with ZVI nanoparticles…” – 89 citations (2019) ⚙️🧫
📘 “Effect of amylose/amylopectin content on corn starch nanoparticles as anthocyanin encapsulants…” – 82 citations (2020) 🌽🔬
📘 “Highly efficient adsorption of Pb(II) with mesoporous MOF-5…” – 71 citations (2016) 🧲🧪
📘 “Kinetic/metabolic study of BTX in nitrifying batch cultures…” – 61 citations (2006) 🧬⚗️
📘 “Synthesis/succinylation of starch nanoparticles via sonochemistry…” – 38 citations (2019) 🌾🌀
📘 “Epigenetic regulation of adipogenic differentiation via histone demethylation…” – 32 citations (2019) 🧬🧠
📘 “Ultrasonic pretreatment on semicontinuous anaerobic digestion…” – 32 citations (2018) 🔄🧫
📘 “Simultaneous esterification/transesterification with MOF-5 catalyst…” – 31 citations (2021) 🔧🧴
📘 “Modeling nitrogen fixation & polymer production in A. vinelandii DJ…” – 31 citations (2020) 🧪🌱

Sheeraz Iqbal | Renewable Energy | Best Researcher Award

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Dr. Sheeraz Iqbal | Renewable Energy | Best Researcher Award

Dr. Sheeraz Iqbal, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia, Saudi Arabia

Dr. Sheeraz Iqbal 🎓 is an Assistant Professor in Electrical Engineering at the University of Azad Jammu and Kashmir, Muzaffarabad 🇵🇰. He earned his Ph.D. from North China Electric Power University, specializing in smart grids and electric vehicles ⚡🚗. Currently a Postdoctoral Fellow at King Fahd University of Petroleum and Minerals, Saudi Arabia 🇸🇦, he leads research on renewable energy, microgrids, and AI-driven energy management 🌞🤖. Dr. Iqbal serves as Chief Editor of the International Journal of Electrical and Electronic Engineering 📝 and supervises innovative projects on EV charging and solar tech ☀️🔋. He has over 1200 citations and active roles in academia and industry liaison.

Publication Profile

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🎓 Education Background

Dr. Sheeraz Iqbal completed his Ph.D. in Electrical Engineering from North China Electric Power University, Beijing, China (2017–2020) 🇨🇳. Prior to that, he earned an MS in Electronic Engineering from the International Islamic University, Islamabad, Pakistan (2011–2014) 🇵🇰. His foundational degree is a Bachelor’s in Telecommunication Engineering from the Institute of Engineering and Technology, Allama Iqbal Open University, Islamabad (2006–2010) 📡. He completed his Higher Secondary School Certificate in Computer Science at Govt. Gordon College Rawalpindi (2003–2005) 💻 and attended Secondary School at High School Patola Rawalakot, AJK (2001–2003)

🔬 Research Interests

Dr. Sheeraz Iqbal’s research focuses on modern power systems ⚡ and smart grid/microgrid technologies 🏙️. He explores renewable energy system design 🌱, virtual power plants 🏭, and electric vehicles 🚗, including advanced energy forecasting and modeling 📊. His work includes innovations in Vehicle-to-Grid (V2G) technology 🔄, transactive energy 💹, and demand response mechanisms 📉. Dr. Iqbal is passionate about sustainable and clean energy solutions 🌞, especially solar-powered EV charging stations 🔋. Additionally, he integrates artificial intelligence 🤖 and machine learning 📈 to optimize energy management systems for a smarter and greener future

📘 Teaching, Research & Professional Experience

Dr. Sheeraz Iqbal is currently a Postdoctoral Fellow at the Interdisciplinary Research Center of Sustainable Energy Systems, KFUPM, Saudi Arabia 🏫. He served as Assistant Professor at the University of Azad Jammu and Kashmir 🇵🇰 (2020–2024) and as Lecturer (2014–2017) 🎓. He holds roles as Director of the Industrial Liaison Office 🔗, Technical Coordinator 🎛️, and Focal Person for ORIC 📑. He is Editor-in-Chief of IJEW 📝 and contributes to national curriculum development 📚. Earlier, he gained industry experience with PTCL Islamabad in NGN Switching ⚙️. Dr. Iqbal supervises MS/BS research and chairs key academic committees 🧠

🔍 Research Focus

Dr. Sheeraz Iqbal’s research lies at the intersection of smart grid systems ⚡, electric vehicles (EVs) 🚗🔋, renewable energy integration ☀️, and frequency regulation 📉📈. He specializes in microgrid stability, V2G technology, and AI-based control strategies 🧠💻. His work also addresses virtual power plants, demand response, and solar-based EV charging infrastructure ☀️🔌. He explores energy forecasting, cybersecurity in smart grids 🔐, and machine learning for energy systems 🤖. His research significantly contributes to sustainable energy 🌱 and grid resilience, making him a key figure in the development of clean, intelligent, and future-ready power systems

Publication Top Notes

  • 📊 Adaptive and fuzzy PI controllers for frequency regulation in microgrids with EVs – IEEE Access, 110 citations, 2020

  • ⚡ Virtual synchronous generator control for grid-connected PV – Int. J. Elec. Power & Energy Systems, 108 citations, 2021

  • 🚗 EV integration impacts on power grids: A review – IEEE Conf. on Energy Internet, 107 citations, 2018

  • 🔁 Frequency regulation with EVs & energy storage using adaptive/MPC – IEEE Access, 86 citations, 2021

  • 🔌 EV aggregation for primary frequency control in industrial microgrid – IEEE Access, 86 citations, 2020

  • 🔄 V2G for frequency control in industrial microgrid with station operator – Electronics, 68 citations, 2020

  • ☀️ Solar PV system feasibility at King Abdullah Campus (AJK) – IEEE Access, 65 citations, 2022

  • ⚙️ Modified LAPO for FACTS device allocation – IEEE Access, 47 citations, 2021

  • 📚 Review on EV-to-grid for frequency control in microgrids – IEEE CIEEC, 46 citations, 2018

  • 🧠 ANN-based adaptive droop control for EV battery management – Int. J. Energy Research, 41 citations, 2023

Kyuil Kwak | Energy | Industry Impact Award

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Mr. Kyuil Kwak | Energy | Industry Impact Award

Mr. Kyuil Kwak, Korea University, South Korea

Kyuil Kwak is a Ph.D. candidate in Energy & Environment Policy at Korea University, specializing in energy system modeling, environmental economic assessment, and behavioral science. 🌱🔋 He holds a Master’s in Atmospheric Chemistry, focusing on air quality and PM2.5 source apportionment, and a Bachelor’s in Mechanical Engineering. 🚗🌬️ Kyuil has contributed to major research projects on carbon neutrality, energy storage optimization, and air pollutant emission inventories. 📊⚙️ He has published extensively on renewable energy strategies and community acceptance of hydrogen technology. Kyuil also has experience as a researcher and teaching assistant, mentoring undergraduates and supporting environmental policy research.

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Education 🎓

Kyuil Kwak is currently a Ph.D. candidate in Energy & Environment Policy at Korea University (since 2022), specializing in energy system modeling, economic assessment, behavioral science, and innovation policy under Prof. JongRoul Woo. He earned his Master’s degree in Atmospheric Chemistry from Korea University (2018–2020), where his thesis focused on source apportionment of PM2.5 emissions at the Socheongcho Ocean Research Station, studying air quality and greenhouse gases in North-East Asia. Previously, he completed a Bachelor of Mechanical Engineering at Hongik University (2010–2017), with a project on vehicle crashworthiness using computational analysis, emphasizing impact efficiency and design optimization.

Work Experience 💼

Kyuil Kwak has extensive experience in research and mentoring roles. Since 2022, he works as a Research and Teaching Assistant at Korea University, supporting courses in calculus and energy system modeling, and mentors undergraduates in the Integrative Energy Engineering Department. Previously, he was a researcher at The Seoul Institute (2020–2022), focusing on environmental policies and air quality modeling for Seoul City Hall. He also managed ocean research projects and taught Earth Science labs at Korea University (2018–2020). Kyuil contributed to wood engineering research at the National Institute of Forest Science (2017), assisted in fuel pump development at Korea Automotive Technology Institute (2016), and served in the Korea Army in landmine reconnaissance (2013–2015).

Awards and Grants 🏆

Kyuil Kwak has received several prestigious awards and scholarships throughout his academic career. In 2023, he was honored as the Student of the Year (2022) at the Graduate School of Energy and Environment, Korea University. He earned scholarships for his roles as a Teaching and Research Assistant in 2022 and also in 2018 and 2019 from the Department of Earth and Environmental Science, Korea University. Additionally, in August 2016, Kyuil was a finalist in the 6th Student Creative Design Competition, showcasing his skills in mechanical design. These recognitions highlight his dedication and excellence in both academics and research. 🎓✨

Research Focus Areas 🔬🌍⚡

Kyuil Kwak’s research spans diverse fields including environmental science, energy policy, and atmospheric chemistry. His work focuses on energy system modeling and sustainable energy transitions, as reflected in projects like PyPSA-Korea for Korea’s electricity network planning. He investigates air quality issues, particularly PM2.5 pollution and ozone formation, through atmospheric chemistry studies and source apportionment in marine and urban environments. Additionally, Kwak contributes to policy analysis on electric vehicle adoption and hydrogen refueling infrastructure. Earlier research also includes geotechnical engineering related to scour rate predictions. Overall, his interdisciplinary expertise bridges energy, environment, and policy for sustainable development.

Publication Top Notes

  • Erosion function apparatus for scour rate predictions – JL Briaud, FCK Ting, HC Chen, Y Cao, SW Han, KW Kwak | 661 citations | 2001 ⚙️🌊

  • Multiflood and multilayer method for scour rate prediction at bridge piers – JL Briaud, HC Chen, KW Kwak, SW Han, FCK Ting | 120 citations | 2001 🌉📊

  • Effects of policy instruments on electric scooter adoption in Jakarta, Indonesia – S Choi, K Kwak, S Yang, S Lim, JR Woo | 22 citations | 2022 🛴📈

  • The SRICOS-EFA Method, Summary Report – JL Briaud, HC Chen, KA Chang, SJ Oh, S Chen, J Wang, Y Li, K Kwak | 14 citations | 2011 📑🔧

  • The role of HONO in O3 formation during KORUS-AQ Campaign – J Gil, J Kim, M Lee, G Lee, D Lee, J Jung, J An, J Hong, S Cho, J Lee, … | 12 citations | 2019 🌫️🔬

  • Analyzing community acceptance of hydrogen refueling stations in South Korea – K Kwak, JR Woo, J Ahn | 1 citation | 2024 ⛽💡

  • PyPSA-Korea: Open-source energy system model for Korea’s sustainable energy transition – K Kwak, W Son, YH Yang, JR Woo | 0 citations | 2025 ⚡🌍

  • Unlocking Peak Shaving: How EV driver heterogeneity shapes V2G potential – S Yun, JR Woo, K Kwak | 0 citations | 2025 🔋🚗

  • PyPSA-KR: Energy system modelling of Korean electricity network – K Kwak | 0 citations | 2024 ⚡🖥️

 

Nedaa Al-Tawalbeh | Renewable energy | Best Researcher Award

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Dr. Nedaa Al-Tawalbeh | Renewable energy | Best Researcher Award

Dr. Nedaa Al-Tawalbeh, Al al-Bayt University, Jordan

Dr. Nedaa Al-Tawalbeh is an Assistant Professor in the Department of Renewable Energy Engineering at Al al-Bayt University, Jordan. 🇯🇴 She holds a Ph.D. in Renewable Energy Engineering from Universiti Putra Malaysia, with expertise in solar energy, photovoltaics, hybrid PV/T systems, and smart grids. ⚡ She has authored multiple high-impact publications and contributes to cutting-edge research in MPPT algorithms and energy optimization. 🧠 Fluent in Arabic and English, she also excels in tools like MATLAB, Simulink, and DSP programming. ✨

Publication Profile

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🎓 Academic Qualifications

Dr. Nedaa Al-Tawalbeh holds a Ph.D. in Renewable Energy Engineering–Solar Energy (2019–2022) from Universiti Putra Malaysia, where she specialized in photovoltaic systems and developed her thesis on advanced maximum power point tracking techniques using modified, hybrid, and trapezoidal rule approaches ⚡🔋. She earned her Master’s degree in Electrical Engineering (2014–2016) from Princess Sumaya University for Technology (PSUT), Amman, Jordan, and completed her Bachelor’s degree in Electronics Engineering (2006–2011) from Yarmouk University, Hijjawi Faculty for Engineering 🔌📘. Her academic journey reflects strong expertise in solar and sustainable energy technologies

💼 Employment History

Dr. Nedaa Al-Tawalbeh is currently serving as an Assistant Professor at Al al-Bayt University in the Department of Renewable and Sustainable Energy (2022–present) 🏫🔋. From 2019 to 2022, she worked as a researcher at the Advanced Lightning, Power and Energy Research (ALPER) Centre, Universiti Putra Malaysia, contributing to cutting-edge renewable energy projects ⚡🔬. Earlier, she served as a Teaching Assistant in the Electrical Engineering Department at Princess Sumaya University (2014–2016), supporting academic development in engineering education 📘👩‍🏫. She is fluent in both Arabic (native) and English 🌐🗣️, enabling effective communication in diverse academic and research environments.

🛠️ Technical Skills

Dr. Nedaa Al-Tawalbeh possesses a robust set of technical skills in electronics, programming, and renewable energy systems ⚙️💡. She is an expert in Texas Instrument (TMS320F28335) and Arduino DSPs 🔧📟. Her software expertise includes Code Composer Studio, MATLAB, Simulink, and renewable energy tools 🖥️📊. She is proficient in Cadence, Synopsis, and HSPICE tools for circuit design and analysis, along with PCB design and simulation software such as Proteus and Fritzing 🔬🔌. Additionally, she is skilled in LaTeX, BibTeX, Microsoft Office, Mathematica, Maple, and C++ programming 💾🧠, making her a versatile engineer in both hardware and software domains.

🔬 Research Focus

Dr. Nedaa Al-Tawalbeh’s research primarily centers on renewable energy systems, particularly solar photovoltaic (PV) technologies ☀️🔋. Her expertise includes maximum power point tracking (MPPT) algorithms, hybrid PV-thermoelectric systems, and adaptive control techniques for energy optimization ⚡📈. She also explores smart grid reliability, electricity theft detection using AI, and processor-in-loop testing for energy systems 🧠💡. With significant contributions to power electronics, energy conversion, and intelligent controllers, Dr. Al-Tawalbeh bridges hardware implementation with AI-driven solutions for sustainable energy applications 🌍🔌. Her interdisciplinary work spans engineering, sustainability, and smart energy systems

Conclusion

Dr. Nedaa Al-Tawalbeh is a highly qualified and impactful researcher in the field of renewable and sustainable energy, particularly in solar and photovoltaic systems. Her academic background, robust publication record, technical skills, and international collaborations make her a strong and deserving nominee for the Research for Best Researcher Award. Her work not only advances scientific understanding but also contributes toward global efforts in clean and efficient energy utilization.

Publication Top Notes

📄 Maximizing energy harvesting in grid‐connected hybrid PV and TEG systems – Environmental Progress & Sustainable Energy 📅 2025 🔗 [DOI:10.1002/ep.14621] 📑 Cited by: pending

📄 Novel initialization strategy for global MPPT optimization – Results in Engineering 📅 2024 🔗 [DOI:10.1016/j.rineng.2024.102067] 📑 Cited by: Scopus-indexed

📄 Intelligent Runge Kutta control for thermoelectric power – Energy Conversion and Management: X 📅 2024 🔗 [DOI:10.1016/j.ecmx.2024.100612] 📑 Cited by: pending

📄 Federated learning model for electricity theft detection – Energy Reports 📅 2023 🔗 [DOI:10.1016/j.egyr.2023.09.100] 📑 Cited by: Scopus-indexed

📄 Trapezoidal rule-based MPPT algorithm – Energy Conversion and Management 📅 2022 🔗 [DOI:10.1016/j.enconman.2022.115738] 📑 Cited by: Scopus-indexed

📄 Trapezoidal MPPT under complex shading – PECon 2020 Conference 📅 2020 🔗 [DOI:10.1109/PECon48942.2020.9314467] 📑 Cited by: Scopus-indexed

📄 Hybrid approach for PV power extraction – Sustainability 📅 2020 🔗 [DOI:10.3390/su12145786] 📑 Cited by: 90+

📄 Enhanced adaptive P&O technique for MPPT – Applied Sciences 📅 2020 🔗 [DOI:10.3390/app10113912] 📑 Cited by: 60+

📄 Small-signal gain in CMOS analog amplifier – ICM Conference 📅 2016 🔗 [DOI:10.1109/ICM.2015.7437993] 📑 Cited by: 5+

Abolfazl Hadavi | Electrical power | Best Researcher Award

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Dr. Abolfazl Hadavi | Electrical power | Best Researcher Award

Dr. Abolfazl Hadavi at Faculty of Electrical and Computer Engineering, Tabriz University, Iran

Abolfazl Hadavi is a highly experienced software engineer and electronics specialist from Tabriz, Iran, with over 20 years of professional expertise in programming, system design, and hardware-software integration. 💻🔧 He has built numerous custom software solutions across industries such as healthcare and energy. Leveraging a solid foundation in electrical and computer engineering, he bridges technical knowledge with practical innovation. His passion lies in developing advanced embedded systems and intelligent applications, combining his programming skills and electronics background to create efficient, user-focused technologies. 🌐🔌

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Orcid

Academic Background

Abolfazl holds a Bachelor’s degree in Electrical and Computer Engineering (2007), followed by a Master’s in Mechatronics (2018), both from the University of Iran, Tabriz. 📘🛠 He is currently pursuing a Ph.D. in Electrical and Computer Engineering at the same institution since 2020. 📚 His academic path reflects a multidisciplinary approach, blending electrical systems, automation, and software design. Through his studies, he has focused on integrating theoretical knowledge with hands-on engineering to address real-world technical challenges. 🔍🎓

Professional Background

With two decades of experience, Abolfazl has served as a system designer and programmer at Manir Company (2002–2016), and as a software expert for the East Azerbaijan Electricity Distribution Company since 2016. ⚡🖥 He has led and contributed to key projects, including medical registration systems, energy loss calculators, and invoice and report generation software. His work supports efficiency improvements in critical infrastructure sectors. His deep industry engagement, combined with technical excellence, has established him as a trusted innovator in applied informatics and system development. 🏗️🖱️

Awards and Honors

While specific awards are not listed in the provided profile, Abolfazl’s contributions to vital systems in the electricity and healthcare sectors demonstrate a track record of practical innovation. 🌟 His role in developing high-impact tools for public utility optimization suggests strong recognition within his organizations. 🏅 His long-term professional service and expertise have likely earned him internal commendations and project leadership roles, reflecting both technical acumen and reliability in mission-critical software and hardware solutions. 🤝📈 

Research Focus

Abolfazl’s research interests center on the integration of embedded systems with intelligent software, particularly in energy distribution, automation, and mechatronic applications. 🔍🤖 His work bridges hardware design and software architecture, aiming to improve efficiency and interoperability in systems. As a Ph.D. student, he is likely involved in research around smart grids, real-time monitoring, or embedded control systems, contributing to technological advancement in infrastructure and electronics. 🔄⚙️ His vision emphasizes practical outcomes that address pressing challenges in engineering and applied computing. 💡📊

Publication Top Notes

📘 Critical inertia thresholds for frequency stability in renewable Energy-Integrated power systems

📅 Year: 2025 | ✍️ Authors: Abolfazl Hadavi, Mehrdad Tarafdar Hagh, Saeid Ghassem Zadeh

Conclusion

Abolfazl Hadavi is a highly skilled software and systems engineer with over 20 years of experience in programming, system development, and applied electronics. With a strong foundation in VB.NET, C#, Oracle, Angular, and embedded systems, he has led and contributed to impactful projects in energy, telecommunications, and healthcare sectors. His cross-disciplinary background in electrical engineering, mechatronics, and software development enables him to create integrated hardware-software solutions with real-world relevance. Currently pursuing a Ph.D. in Electrical and Computer Engineering, his academic progression highlights a deepening engagement with research, positioning him as a valuable contributor to applied technological innovation.

 

Jiapei Wei | Energy Economy | Best Researcher Award

Published on by Global Academic Awards

Dr. Jiapei Wei | Energy Economy | Best Researcher Award

Dr. Jiapei Wei, School of Business Administration, China

Dr. Wei Jiapei is an Associate Researcher and Deputy Director of the Business Department at Guangxi University of Finance and Economics. She holds a Ph.D. from Huazhong Agricultural University and has served as a visiting scholar at Wuhan University and Curtin University in Australia. Specializing in sustainable development, Dr. Wei has published over 20 papers, including SCI, SSCI, and CSSCI-indexed journals, and authored three academic books. With extensive involvement in national and provincial research projects, she actively explores China’s economic sustainability and policy. She is recognized for her analytical skills and contributions to green economic transitions and agricultural waste utilization. 🌱📘

Publication Profile

Scopus

🎓 Education

Dr. Wei Jiapei obtained her Ph.D. from Huazhong Agricultural University, where she specialized in sustainable development and agricultural economics. Her academic training included theoretical grounding in economics, environmental policy, and resource management. She further expanded her international perspective through academic exchanges and visiting scholar roles at Wuhan University and Curtin University in Australia. These experiences enriched her interdisciplinary expertise and strengthened her research foundation in ecological economics, resource utilization, and green transformation. Her academic formation has laid a solid base for her significant contributions to environmental policy research and rural energy transition in the context of China’s development goals. 📚🌏

💼 Experience

Dr. Wei Jiapei is currently serving as an Associate Researcher and Deputy Director in the Department of Business at Guangxi University of Finance and Economics. She has extensive teaching and research experience and has led or participated in over 15 projects funded by national and provincial institutions. Her past appointments include roles as a visiting scholar at Wuhan University and Curtin University, enhancing her global research perspective. She has authored numerous academic papers and three books and has contributed to policymaking and implementation strategies for green transformation in resource-based enterprises and agricultural sectors. Her expertise lies in bridging theory and practice. 📊🌍

🏅 Awards and Honors

Dr. Wei Jiapei has been selected for the prestigious Guangxi “Thousand Talents Program” and recognized as a Young and Middle-aged Academic Leader at Guangxi University of Finance and Economics. These honors reflect her excellence in research, leadership in academic innovation, and commitment to regional development. Her research outputs have been acknowledged for their quality and relevance, earning her excellence ratings in several concluded projects. Dr. Wei’s work in sustainability, especially in agricultural waste utilization and corporate green transformation, continues to influence regional policy discourse and academic practice. Her career is marked by scholarly recognition and institutional impact. 🏆📖

🔬 Research Focus

Dr. Wei Jiapei’s research focuses on sustainable development, green economic transformation, agricultural waste utilization, and environmental policy. She has explored the dynamics of technological innovation, policy uncertainty, and green investment under China’s dual carbon goals. Her recent studies address the energy reuse of agricultural by-products, socio-economic costs of ecological transitions, and mechanisms driving green transformation in resource-based enterprises. Through interdisciplinary approaches combining economics, sustainability science, and strategic policy studies, she contributes to theoretical advancement and practical solutions for regional ecological modernization and carbon neutrality. Her work also includes bibliometric analyses and AI applications in renewable energy systems. 🌿🔍

Publication Top Notes

Artificial intelligence applications in hydrogen system: Advancing renewable energy utilization for global hydrogen economy and sustainability goals

Maria Carmen Asensio | Energy | Women Researcher Award

Published on by Global Academic Awards

Prof. Maria Carmen Asensio | Energy | Women Researcher Award

Prof. Maria Carmen Asensio, Materials Science Institute of Madrid – CSIC, Spain

Prof. Maria Carmen Asensio is a leading solid-state physicist and Permanent Research Staff at the Institute of Material Science of Madrid (ICMM-CSIC), Spain. She is the co-founder of the Research Associated Unit MATINÉE and a global expert in synchrotron radiation techniques. Her innovations include the development of the nanoARPES technique for chemical and electronic imaging. With over 265 publications and more than 11,500 citations, she is recognized internationally for her contributions to condensed matter physics. Her collaborative work spans multiple prestigious institutions across Europe, and she plays key roles in scientific leadership, editorial boards, and European research evaluation panels. 🌍📚

Publication Profile

Orcid

Google Scholar

🎓 Education

Prof. Asensio began her academic journey in Argentina, where she earned her foundational degrees in physics. She further advanced her academic career in Europe, undertaking postdoctoral research at the University of Warwick (UK) and the Fritz Haber Institute of the Max Planck Society (Germany). Her interdisciplinary training across premier European laboratories solidified her expertise in spectroscopic methods and materials science. This diverse academic foundation equipped her with the skills to pioneer advanced techniques in synchrotron-based photoemission and solid-state physics, culminating in significant contributions to the electronic structure of novel materials. 🎓🇦🇷🇬🇧🇩🇪

💼 Experience

Prof. Asensio has held prestigious roles including Senior Lecturer at the Autonomous University of Madrid, and postdoctoral fellow at Warwick and the Fritz Haber Institute. Since 1992, she has been a senior member of the GREENER group at ICMM-CSIC, Spain. She has directed major European research projects, chaired the IUVSTA Surface Science Division since 2016, and served as Scientific Director of IUVSTA from 2004 to 2007. As an evaluator for the European Research Council (ERC) and editorial board member of several journals, she has contributed significantly to research governance and scientific development across Europe. 🧪🌐

🏆 Awards and Honors

Prof. Asensio has received six SEXENIOS (Exceptional Productivity Supplements) from the Spanish Government in recognition of sustained research excellence. She was elected Scientific Director of IUVSTA and currently chairs its Surface Science Division. She has supervised numerous award-winning PhD theses and postdoctoral researchers supported by prestigious programs like Marie Curie and CNRS. Her impactful publication on silicene alone has over 3600 citations. Her continuous recognition by institutions like the ERC and international journals underscores her global scientific influence and the pioneering quality of her work in photoemission and advanced materials. 🥇🔖

🧪 Research Focus

Prof. Asensio’s research centers on the electronic and structural characterization of advanced materials using synchrotron radiation techniques such as ARPES, SR-PES, and XAS. Her groundbreaking work in developing nanoARPES allows for nanoscale chemical and electronic imaging. She investigates Fermi surface topology, low-dimensional materials, and electronic instabilities at surfaces and interfaces. Her studies have advanced understanding of graphene, silicene, and other 2D systems, making her a global leader in condensed matter physics and spectroscopic innovation. Her work bridges fundamental physics with instrumentation development for next-generation materials. 🔬📡📊

Publication Top Notes

📖 Silicene: compelling experimental evidence for graphenelike two-dimensional silicon 🔢 4280 📅 2012
📖 Band Alignment and Minigaps in Monolayer MoS₂-Graphene van der Waals Heterostructures 🔢 366 📅 2016
📖 Towards high quality CVD graphene growth and transfer 🔢 339 📅 2015
📖 Quasicrystalline 30° twisted bilayer graphene as an incommensurate superlattice 🔢 245 📅 2018
📖 Evidence of Dirac fermions in multilayer silicene 🔢 233 📅 2013
📖 Black arsenic: a layered semiconductor with extreme in‐plane anisotropy 🔢 232 📅 2018
📖 Topology of the Pseudogap and Shadow Bands in cuprates at optimum doping 🔢 231 📅 1997
📖 Dynamical fluctuations as the origin of a surface phase transition in Sn/Ge(111) 🔢 221 📅 1999
📖 Direct Observation of Interlayer Hybridization in Graphene/MoS₂ heterostructures 🔢 204 📅 2015
📖 Charge Density Wave State Suppresses Ferromagnetic Ordering in VSe₂ Monolayers 🔢 189 📅 2019
📖 Self-aligned silicon quantum wires on Ag(110) 🔢 180 📅 2005
📖 Polycrystalline graphene with single crystalline electronic structure 🔢 176 📅 2014
📖 Observation of a 2D liquid of Fröhlich polarons at SrTiO₃ surface 🔢 172 📅 2015
📖 Chitosan-coated MIL-100(Fe) nanoparticles as bio-compatible nanocarriers 🔢 162 📅 2017

Mitra Tavakoli | Environmental Award | Best Researcher Award

Published on by Global Academic Awards

Assoc. Prof. Dr. Mitra Tavakoli | Environmental Award | Best Researcher Award

Assoc. Prof. Dr. Mitra Tavakoli, Yazd University, Iran

Assoc. Prof. Dr. Mitra Tavakoli is a renowned expert in Polymer Engineering at Yazd University, Iran. With over two decades of academic and administrative experience, she has significantly contributed to teaching, research, and leadership within the institution. She has held key roles such as Director of Educational Affairs and Deputy in the Yazd Standard Office. Her research explores cutting-edge areas including nanocomposites, tissue engineering, and sustainable food packaging. A passionate educator, she teaches advanced polymer science courses. Dr. Tavakoli is highly regarded for her innovative work in polymer processing and material design, advancing scientific knowledge and industrial application. 👩‍🏫🔬📘

Publication Profile

Orcid

Google Scholar

🎓 Education

Dr. Mitra Tavakoli pursued all her academic degrees in Polymer Engineering from Amirkabir University of Technology, Tehran. She earned her BSc in 1988, focusing on foundational aspects of polymer science. Driven by a passion for advanced materials, she completed her MSc in 1999, delving into the mechanical and thermal behavior of polymers. She went on to complete her PhD in 2010, specializing in polymer nanocomposites and engineering applications. Her comprehensive education in polymer chemistry, processing, and structure-property relationships forms the cornerstone of her academic and research career, enabling her to contribute effectively to both academia and industry. 📘🎓🧪

💼 Experience

Dr. Tavakoli has served at Yazd University in various academic and administrative capacities. From 2002 to 2005, she managed the university’s publishing unit, contributing to academic dissemination. As Director of Educational Affairs (2012–2014), she implemented impactful reforms in academic programs. Between 2015 and 2020, she played a pivotal role as Deputy in the Yazd Standard Office, aligning education with industrial standards. Alongside her executive roles, she has been an active faculty member, teaching specialized courses in polymer science and mentoring students. Her well-rounded experience reflects her commitment to both scientific excellence and institutional development. 🏫📚⚙️

🏅 Awards & Honors

Dr. Tavakoli has earned recognition for her outstanding contributions to polymer science and academic leadership. She has received honors for her innovative research in polymer nanocomposites and hydrogels, with several of her studies cited in top-tier journals. Her leadership roles at Yazd University earned her commendations for advancing academic quality and promoting standards in engineering education. She has also been acknowledged at national conferences for her work on sustainable materials in packaging and biomedical applications. Her career is marked by continuous dedication, making her a respected figure in Iran’s scientific and engineering community. 🏆🎖️📜

🔬 Research Focus

Dr. Tavakoli’s research spans several advanced domains of polymer science. She specializes in polymer nanocomposites and the irradiation of polymers to enhance performance. Her work on rubber blends, hydrogels, and aerogels contributes to innovations in biomedical materials and tissue engineering. She also explores polymer processing techniques and designs advanced reinforced plastics with improved mechanical properties. A key area of her interest is sustainable food packaging materials, aligning material science with environmental goals. Her research addresses both fundamental and applied aspects, bridging the gap between academia and industry needs in polymer applications. 🧫🧵🧪🌱

Publication Top Notes

📄 NR/SBR/organoclay nanocomposites: Effects of molecular interactions… 📊 37 📅 2012
📄 Effectiveness of maleic anhydride grafted EPDM rubber (EPDM-g-MAH)… 📊 35 📅 2011
📄 Surface modification of polymers to enhance biocompatibility 📊 27 📅 2005
📄 SBR/ENR50 nanocomposites with nanoclay and carbon black for tires 📊 23 📅 2016
📄 Mechanical and thermal properties of functionalized graphene oxide/epoxy 📊 22 📅 2017
📄 SBR/ENR/carbon filler nanocomposites: microstructure and cure 📊 12 📅 2019
📄 Dynamic-Mechanical Properties of SBR/ENR Dual Filler Nanocomposites… 📊 12 📅 2019
📄 NBR/PVC nanocomposite cured by sulfur and electron beam with nanoclay 📊 8 📅 2020
📄 Optimization of tensile strength in acrylic high-bulked yarn via Taguchi 📊 8 📅 2015
📄 Compatibilizer effect in SBR organoclay nanocomposites 📊 8 📅 2010
📄 Electron beam irradiation of reclaimed tire rubber/PEVA blends 📊 6 📅 2023
📄 DBD plasma treatment on polypropylene film (air & nitrogen) 📊 6 📅 2021
📄 Polyethylene glycol in durable press finished cotton fabric 📊 5 📅 2006
📄 Improved organo-halide perovskite via plasma-modified P3HT 📊 4 📅 2020
📄 Surface modification of polymers through plasma 📊 3 📅 2019