Tag: International Engineering Excellence Award

Ahmed Issa Alnahhal | Engineering | Research Excellence Award

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Mr. Ahmed Issa Alnahhal | Engineering | Research Excellence Award

Budapest University of Technology and Economics | Hungary

Mr. Ahmed Issa Alnahhal is an Electrical Engineer and emerging scholar specializing in advanced photovoltaic technologies, hybrid renewable energy systems, and semiconductor device fabrication. With more than ten years of combined academic, research, and engineering experience, he has developed strong interdisciplinary expertise spanning cleanroom fabrication processes, semiconductor device physics, thin-film characterization, and photovoltaic system modelling. He is currently pursuing his PhD in Electrical Engineering at Budapest University of Technology and Economics, Hungary, where his research focuses on advanced Hybrid Photovoltaic–Thermoelectric Generator (PV-TEG) systems and Perovskite/Si tandem solar cells. His work includes simulation, optimization, loss analysis, and experimental fabrication of next-generation energy harvesting systems. Ahmed has authored multiple peer-reviewed journal articles and conference papers in top-tier platforms, including IEEE Transactions on Components, Packaging and Manufacturing Technology, Advanced Theory and Simulation, and Energy Conversion and Management X. His key contributions include extending the single-diode solar cell model using spectral sensitivity, analyzing spectrum-splitting photovoltaic–thermoelectric architectures, and developing mathematical models for hybrid and tandem photovoltaic systems. His publications have been presented at prestigious international conferences such as CANDO-EPE, THERMINIC, and IWTPV, reflecting international relevance and scientific rigor. His academic engagement includes teaching courses in semiconductor device physics, advanced solar cell technologies, and microelectronics. Professionally, he brings extensive experience in PCB design, electronics testing, laboratory coordination, and system-level integration. Ahmed has participated in specialized technical programs hosted by Infineon Technologies, Czech Technical University, and Warsaw University of Technology, strengthening his global research footprint and industrial alignment. Driven by sustainability and energy security challenges, his research aims to improve the efficiency and accessibility of solar energy systems, contributing to long-term environmental and industrial impact. Through collaboration, innovation, and practical engineering problem-solving, Ahmed continues advancing the frontier of high-efficiency solar energy conversion technologies.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Alnahhal, A. I., Halal, A., & Plesz, B. (2022). Thermal-electrical model of concentrated photovoltaic-thermoelectric generator combined system for energy generation. Proceedings of the International Workshop on Thermal Investigations of Integrated Circuits and Systems.

Alnahhal, A. I., Halal, A., & Plesz, B. (2022). Temperature-dependent performance of concentrated monocrystalline silicon solar cell. Proceedings of the International Scientific Conference on Electric Power Engineering.

Halal, A., Alnahhal, A. I., & Plesz, B. (2022). Performance analysis of perovskite solar cell by considering temperature effect on physical parameters of the absorber layer. Proceedings of the International Workshop on Thermal Investigations of Integrated Circuits and Systems.

Halal, A., Alnahhal, A. I., & Plesz, B. (2022). Numerical simulation and design optimization of highly efficient lead-free perovskite/c-Si tandem solar cell. Proceedings of the International Scientific Conference on Electric Power Engineering.

Halal, A., Alnahhal, A. I., & Plesz, B. (2022). Numerical simulation-based physical parameter analysis of perovskite/c-Si tandem photovoltaic cells. Proceedings of the International Scientific Conference on Electric Power Engineering.

Jian Qiao | Engineering | Best Researcher Award

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Assoc. Prof. Dr Jian Qiao | Engineering | Best Researcher Award

North China Electric Power University | China

Assoc. Prof. Dr. Jian Qiao is a distinguished academic in the field of electrical engineering with a focus on power system relay protection and advanced energy storage systems. He currently serves as an Associate Professor at North China Electric Power University, where he contributes to research, teaching, and professional leadership. His academic journey reflects a strong foundation in electrical and electronic engineering, reinforced by rigorous training and mentorship under leading scholars in the field. With more than fifty research publications indexed in SCI and EI journals and multiple contributions to IEEE Transactions, he has established a solid reputation as a productive and impactful researcher. Beyond publications, he has secured over twenty authorized Chinese invention patents, demonstrating a strong orientation toward innovation and applied science. His work bridges academic research and practical engineering applications, especially in mechanical energy storage technologies such as pumped storage and compressed air energy storage. He has also been actively engaged in professional services as an editor, reviewer, and committee member in several international organizations, which highlights his role as a contributor to the global research community. His combination of academic excellence, leadership, and industry engagement positions him as a rising leader in power system research.

Professional Profile

Scopus | ORCID

Education

Dr. Jian Qiao pursued his academic training in one of China’s top institutions of electrical and electronic engineering, where he built a strong foundation in advanced power systems and energy conversion technologies. He completed his undergraduate studies in electrical engineering with a focus on the principles of electrical machines, grid operations, and control systems. Following his undergraduate education, he continued at the same institution for doctoral research, where he specialized in power system relay protection and energy storage technologies. His doctoral research, conducted under the supervision of a renowned professor and member of the China Electrical Engineering Society, focused on fault modeling, protection mechanisms, and the optimization of energy storage systems including pumped storage and compressed air systems. The research outcomes were published in leading journals such as IEEE Transactions on Power Delivery and IEEE Transactions on Energy Conversion, reflecting both theoretical advancement and practical application. His academic path also included participation in several national research projects, where he gained hands-on experience in handling complex systems. The combination of structured coursework, research excellence, and exposure to large-scale energy systems during his studies provided him with the technical expertise and innovative mindset that continue to shape his professional contributions.

Professional Experience

Assoc. Prof. Dr. Jian Qiao is currently part of the Department of Electric Power Engineering at North China Electric Power University, where he serves as a faculty member actively engaged in research, teaching, and student mentoring. His professional career has been shaped by a blend of academic appointments and industry collaborations, allowing him to balance theoretical insights with practical engineering applications. In academia, he has supervised graduate students, guided undergraduate thesis projects, and contributed to the development of innovative curricula in electrical engineering. His editorial involvement with journals such as Protection and Control of Modern Power Systems and Power System Protection and Control demonstrates his professional recognition and influence. Beyond academia, Dr. Qiao has collaborated with leading power system companies, including Xu Ji Electric, Beijing Sifang, and Nanjing Nanrui, where he has led multiple research and development projects. These initiatives addressed critical challenges in relay protection, governor control systems, and hybrid grid operations. His professional experience also extends to international conference leadership, where he has chaired sessions, presented research, and contributed to global scientific exchange. This combination of teaching, research, and industrial collaboration reflects his role as both an educator and an innovator in the field of power systems.

Research Interests

The research interests of Assoc. Prof. Dr. Jian Qiao are centered on the protection, control, and optimal operation of advanced power systems, with a special emphasis on energy storage technologies. His primary focus lies in power system relay protection, where he explores fault detection, fault modeling, and advanced protection strategies for complex grid operations. He is deeply engaged in the study of pumped storage and compressed air energy storage systems, investigating their role in enhancing the stability and flexibility of modern power networks. His work extends into wide-area measurement control, hybrid AC/DC grid management, and the development of intelligent protection schemes for large-scale energy systems. In addition to technical research, he is interested in the integration of renewable energy into existing grids, ensuring their safe and reliable operation through advanced protective mechanisms. Dr. Qiao also studies fault tolerance in generator and motor systems, focusing on innovative solutions such as injection-based fault detection and differential protection. His research interests align with the urgent global need for sustainable energy solutions, contributing to both academic advancements and industrial practices. His vision is to make energy systems more secure, efficient, and adaptable in the context of future smart grids.

Research Skills

Assoc. Prof. Dr. Jian Qiao has developed a comprehensive skill set that combines theoretical expertise, experimental design, and practical problem-solving in electrical engineering. His technical skills include modeling, analysis, and simulation of power system faults, as well as the design of relay protection strategies for large-scale energy systems. He has extensive experience in working with advanced simulation tools and software platforms used in electrical engineering research. His skills extend to experimental validation, where he has designed and implemented testing frameworks for energy storage systems such as pumped storage units and compressed air stations. Additionally, he possesses strong project management skills, demonstrated through his leadership of multiple national and industry-funded research projects. He is proficient in writing and reviewing scholarly articles for top-tier journals, ensuring both methodological rigor and innovation. As a reviewer and editor, he has gained insights into global research trends and standards. Beyond technical competencies, Dr. Qiao is skilled in academic mentoring, having guided students in research design, experimentation, and publication. His ability to integrate research, teaching, and industry collaboration reflects a versatile skill set. These capabilities enable him to contribute meaningfully to both fundamental science and applied engineering.

Awards and Honors

Throughout his career, Assoc. Prof. Dr. Jian Qiao has received multiple recognitions that highlight his academic excellence, professional service, and innovative contributions. He was selected for the prestigious Young Talents Support Program of the Department of Electric Power Engineering, a recognition awarded to outstanding scholars making significant progress in their fields. His doctoral research was nominated for the Incentive Plan for Doctoral Dissertations of the Chinese Society of Electrical Technology, an achievement limited to only a few candidates nationwide. As an advisor, he has been recognized for guiding excellent undergraduate thesis projects, showcasing his dedication to student development. He has been awarded several best paper prizes, including those at the China Smart Grid Symposium and the New Power System Taihu Forum, reflecting the originality and impact of his research. In addition, he has been acknowledged as an excellent assistant editor by the editorial board of Protection and Control of Modern Power Systems. These recognitions not only demonstrate his research excellence but also his contributions to professional communities, student mentoring, and editorial services. Collectively, these awards and honors illustrate his standing as a highly respected academic and an influential researcher in electrical engineering.

Publication Top Notes

  • A Hybrid Flexible Arc Suppression Method for Generator Stator Ground Faults Based on Slot Potential Analysis Unit — 2025

  • Stator grounding fault severity characterization and novel inverse-time protection method for large generators — 2025

  • Stator Short-Circuit Fault Modeling Method of Turbine Synchronous Generator Considering Winding Potential Phase Distribution — 2025

  • Differential Protection Method of Stator and Rotor Current With Different Frequencies for Variable Speed Pumped Storage Units — 2025

  • Main Protection Optimization Scheme for Generator Parallel Operation of Rotating Asynchronous Machine in Nuclear Power Plants — 2025

  • Analysis of the Depth of Positive Sequence Voltage Sags in Distribution Network Faults and Their Effects on New Energy-Type Equipment — 2024

Conclusion

Assoc. Prof. Dr. Jian Qiao exemplifies the qualities of a leading researcher, educator, and innovator in the field of electrical engineering. His extensive contributions to power system relay protection, energy storage, and hybrid grid operations have advanced both theoretical understanding and industrial practice. His strong publication record in prestigious journals, combined with more than twenty authorized patents, reflects a balance of academic excellence and practical innovation. His leadership roles in professional organizations, editorial boards, and international conferences underline his influence in the global research community. Beyond technical achievements, his dedication to mentoring students and collaborating with industry demonstrates a commitment to advancing knowledge and nurturing the next generation of engineers. The combination of awards, honors, and impactful research positions him as a highly deserving candidate for recognition as one of the leading voices in power system research. Looking forward, Dr. Qiao is poised to expand his international collaborations, contribute further to cutting-edge publications, and play a more prominent role in shaping global energy systems. His vision, expertise, and leadership potential ensure that he will continue to make significant contributions to research, education, and sustainable technological development.

Junior Lawrence MUNDÉNÉ-TIMOTHÉE | Engineering | Best Extension Activity Award

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Mr. Junior Lawrence MUNDÉNÉ-TIMOTHÉE | Engineering | Best Extension Activity Award

Teacher at Higher Normal School of Technical Education (ENSET), University of Douala, Cameroon

Dr. Mundene-Timothée Junior Lawrence is a highly accomplished researcher and academic professional with significant contributions in the fields of agro-food engineering, nutritional biochemistry, and chemical engineering. Currently pursuing a Ph.D. in Process Engineering at the University of Douala, Cameroon, he is also an instructor at the Department of Chemical Engineering within the same institution. Dr. Mundene has demonstrated a remarkable blend of academic excellence, teaching prowess, and innovative research output. His work focuses on sustainable food technologies, utilizing local resources to address food security challenges in sub-Saharan Africa. Additionally, he has published extensively in peer-reviewed journals, tackling issues such as plantain flour processing, traditional dishes, and medicinal plant applications. Recognized with multiple academic awards, he remains dedicated to advancing scientific knowledge while mentoring students and collaborating on impactful projects.

Professional Profile

Education

Dr. Mundene’s academic journey is marked by progressive excellence in engineering and biochemical sciences. He obtained a Ph.D. (ongoing since 2020) in Process Engineering with a specialization in Agro-food Engineering and Nutritional Biochemistry from the University of Douala. His prior achievements include a Master’s in Engineering Sciences (2019) and a DIPET II in Chemical Engineering (2017), both awarded with honors. Earlier qualifications include a Bachelor’s in Biochemistry (2011) and a DIPET I in Chemical Engineering (2015). Throughout his academic career, he has demonstrated consistent academic performance, earning distinctions such as “Best Thesis” and “Major of Class” in his specialization.

Professional Experience

Dr. Mundene’s professional career spans over a decade of experience in teaching, research, and applied engineering. Since 2021, he has been a lecturer at the University of Douala, delivering courses across various engineering topics, including process mechanics, food safety, and chemical reactors. He has also served as a curriculum reviewer for chemical engineering programs and supervised numerous undergraduate and graduate research projects. His industry experience includes internships at Dangote Cement and CIMENCAM, where he applied his engineering expertise in practical settings. Dr. Mundene has further contributed to Cameroon’s academic community by participating in examination oversight roles and coordinating laboratory research initiatives. His multifaceted career reflects a commitment to knowledge dissemination, technical application, and student mentorship.

Research Interest

Dr. Mundene’s research interests are rooted in the nexus of agro-food engineering, sustainability, and nutritional biochemistry. He is particularly focused on developing innovative food processing technologies that utilize local bio-resources to enhance food security and reduce post-harvest losses in sub-Saharan Africa. His work also explores traditional African dishes, seeking to improve their nutritional value while preserving cultural heritage. Additionally, he is interested in the potential of medicinal plants in addressing global health challenges, including COVID-19. Dr. Mundene’s multidisciplinary approach combines process optimization, biochemical analysis, and sustainable resource utilization, making his research highly relevant to contemporary global challenges in food and health systems.

Research Skills

Dr. Mundene is proficient in a range of advanced research tools and methodologies. His technical expertise includes the use of simulation and experimental design software such as Aspen One, CHEMCAD, Design-Expert, and Statgraphics. He is skilled in statistical data analysis using tools like SPSS and XLSTAT, which he applies to optimize engineering processes and analyze nutritional data. Additionally, Dr. Mundene has expertise in quality management systems, including Lean Six Sigma and risk assessment, which he leverages to ensure the precision and applicability of his research outcomes. His ability to integrate theoretical knowledge with practical tools underscores his capability to conduct impactful, solution-oriented research.

Awards and Honors

Dr. Mundene’s excellence in academics and research has been recognized through multiple awards. He earned the “4th Prize of Excellence” at the Summer University of Nutrition in 2022 and the “Best Thesis Award” in Chemical Engineering at the University of Douala in 2017. Earlier, he was named “Major of Class” during his DIPET I program in 2015. These accolades reflect his dedication to academic excellence, innovative research, and professional development. His recognition as a top-performing student and researcher highlights his contributions to advancing scientific knowledge in his fields of expertise.

Conclusion

Dr. Mundene-Timothée Junior Lawrence stands out as an accomplished academic and researcher whose work addresses critical challenges in food security, sustainable resource utilization, and health. His strong educational background, extensive teaching and professional experience, and impactful research contributions make him a valuable asset to the scientific community. With a focus on applied solutions and a commitment to excellence, Dr. Mundene exemplifies the qualities of a leading researcher. His achievements and potential make him a strong candidate for recognition through awards such as the Best Researcher Award.

Publications Top Notes

  1. Title: Cooking practices, consumption and sensory perception of Ntuba ekōn: a traditional dish consumed in Cameroon
    • Authors: Bouelet Ntsama, Isabelle Sandrine; Nguimbou, Richard; Ngane, Rosalie Annie; Mouangue, Ruben; Njintang, Nicolas; Bissoue, Achille; Mundéné-Timothée Junior Lawrence
    • Year: 2024-11
    • DOI: 10.36400/J.Food.Stab.7.3.2024-014
  2. Title: Plantain flour: production processes, technological characteristics, and its potential use in traditional African dishes – a review
    • Authors: Junior Lawrence Mundéné-Timothée; Achille Nouga Bissoue; Richard Marcel Nguimbou; Samuel Magloire Bissim; Isabelle Sandrine Bouelet Ntsama; Sylvain Parfait Bouopda Tamo; Leonel Fokam; Ruben Mouangue; Nicolas Njintang Yanou
    • Year: 2024-10-03
    • DOI: 10.1002/jsfa.13900
  3. Title: Pharmacognosy, Phytotherapy and Modern Medicine
  4. Title: Therapy Against COVID-19: Medicinal Plant Extracts Can Be a Solution
  5. Title: Effects on the Phagocytosis Modulation of Stems Extract and Triterpenes from Gouania longipetala (Hemsl.), A Plant of The Cameroonian Pharmacopeia
    • Authors: S.P. Bouopda Tamo; S.H. Riwom Essama; O. Ndogo Eteme; T.J.L. Mundéné; J.M. Avina Ze; E. Tchamgoue Ngalani; D.K. Setchaba; B. Nyasse; F.X. Etoa
    • Year: 2019-04-17
    • DOI: 10.30799/jnpr.073.19050101

 

Wei Zhou | Engineering | Best Researcher Award

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Dr. Wei Zhou | Engineering | Best Researcher Award

Lecturer at Nanjing University of Information Science and Technology, China

Wei Zhou is an innovative researcher and lecturer at Nanjing University of Information Science and Technology, China. He specializes in automatic sleep stage scoring, with a particular focus on applying machine learning and artificial intelligence techniques to the field of sleep analysis. Zhou’s work addresses critical challenges in the field, such as the inconsistency of device signals and the presence of noise in data, by developing novel algorithms that enhance sleep stage classification. His research is methodologically rigorous and demonstrates a strong commitment to advancing the capabilities of sleep analysis systems. Zhou is passionate about integrating cutting-edge technologies with modern research methodologies to solve complex problems in biomedical engineering. His research has been published in prestigious journals, and his innovative approaches have made a significant impact on both academic studies and potential clinical applications. Through his expertise, Zhou has contributed to the development of advanced models like MaskSleepNet and the Lightweight Segmented Attention Network, which have furthered the understanding and efficiency of sleep staging processes.

Professional Profile

Education

Wei Zhou completed his undergraduate studies in Electronic Information Engineering at Sichuan University in 2019, where he gained foundational knowledge in electrical engineering and signal processing. He then pursued a Ph.D. in Biomedical Engineering at Fudan University, which he is expected to complete in 2024. During his doctoral studies, Zhou specialized in sleep stage scoring using advanced machine learning techniques, particularly focusing on the integration of multimodal signals, such as electroencephalography (EEG) and electrooculography (EOG), to improve the accuracy of sleep analysis models. His research is rooted in both biomedical engineering and artificial intelligence, fields in which he has developed deep expertise. Zhou’s academic journey at two prestigious universities in China provided him with a strong interdisciplinary foundation, combining engineering principles with biomedical research. This educational background has enabled him to develop and refine innovative methodologies, making significant contributions to the field of sleep science.

Professional Experience

Wei Zhou is currently a lecturer at Nanjing University of Information Science and Technology, where he is involved in both teaching and research. His professional experience focuses primarily on the application of artificial intelligence and machine learning in biomedical engineering, specifically in the field of sleep analysis. Zhou’s work involves designing and developing algorithms that integrate electroencephalography (EEG) and electrooculography (EOG) signals for improved sleep staging, addressing challenges such as missing data and device inconsistencies. His role as a lecturer also includes mentoring students, conducting academic research, and publishing in top-tier journals. Prior to his current position, Zhou gained hands-on experience through various academic projects during his doctoral studies at Fudan University, where he developed novel approaches to sleep staging and contributed to projects involving both theoretical research and real-world applications. Zhou’s career reflects his commitment to advancing the field of biomedical engineering through academic excellence and innovative research. His professional trajectory highlights his growth as a researcher and educator, as well as his dedication to solving complex health-related challenges using advanced technologies.

Research Interests

Wei Zhou’s primary research interest lies in the application of machine learning and artificial intelligence techniques to sleep analysis. Specifically, he focuses on improving the accuracy and reliability of sleep stage scoring systems by integrating multimodal data, such as electroencephalography (EEG) and electrooculography (EOG). His research addresses the challenges of heterogeneous signals and data noise, which are common in sleep studies. Zhou has developed advanced algorithms like the pseudo-siamese neural network, MaskSleepNet, and the Lightweight Segmented Attention Network, all aimed at enhancing sleep stage classification and handling issues like device inconsistency and missing data. His work also explores the use of hybrid systems and optimization algorithms to improve the performance of sleep analysis models. Additionally, Zhou’s research interests extend to the broader application of machine learning in biomedical engineering, where he seeks to use advanced algorithms to address a variety of health-related challenges. He is passionate about integrating cutting-edge technologies into biomedical research to enhance both academic understanding and clinical applications, particularly in the context of sleep disorders.

Research Skills

Wei Zhou possesses a wide range of research skills, particularly in the areas of machine learning, artificial intelligence, and biomedical engineering. His expertise includes developing advanced algorithms for sleep stage classification using multimodal data, particularly EEG and EOG signals. Zhou is skilled in employing techniques such as convolutional neural networks (CNNs), attention mechanisms, and pseudo-siamese networks to create robust models that handle heterogeneous data and noise. His work also involves optimization algorithms, including biogeography-based optimization, to enhance model performance, particularly in cases with small sample sizes or limited data. Zhou is proficient in designing and implementing complex systems for biomedical signal processing, demonstrating his ability to combine engineering principles with health-related research. Additionally, he has experience with various data analysis and modeling tools, which he uses to validate his models across multiple public datasets. Zhou’s ability to innovate and adapt machine learning techniques to the challenges of biomedical research makes him a skilled and versatile researcher. His work is characterized by methodological rigor and a strong focus on improving the practical applications of his findings in clinical settings.

Awards and Honors

While specific awards and honors were not listed in the provided information, Wei Zhou’s research contributions have been widely recognized in the field of biomedical engineering and machine learning. His publications in prestigious journals such as the IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Neural Systems and Rehabilitation Engineering demonstrate the high regard in which his work is held within the academic community. Zhou’s innovative algorithms, such as MaskSleepNet and the Lightweight Segmented Attention Network, have gained attention for their potential to improve sleep stage classification and address real-world challenges in sleep analysis. His ability to produce impactful research that addresses critical issues in sleep staging, such as device inconsistency and data noise, positions him as a leading figure in his field. Zhou’s ongoing contributions to both academic research and the development of practical technologies suggest that he will continue to receive recognition for his work in the future. His research has the potential to revolutionize sleep analysis and provide valuable insights into the diagnosis and treatment of sleep disorders.

Conclusion

Wei Zhou is undoubtedly a strong candidate for the Best Researcher Award due to his innovative contributions to sleep stage scoring, the development of advanced machine learning techniques, and the significant potential impact of his work. His research has made notable strides in solving long-standing challenges in the field of sleep analysis, especially in addressing heterogeneous data and improving the accuracy of automated sleep staging. However, expanding his research’s interdisciplinary reach, ensuring the scalability of his models, and incorporating longitudinal studies could further enhance his impact and demonstrate the real-world applicability of his work. His current contributions, however, make him a leader in the field, positioning him as a highly deserving nominee for the award.

Publication Top Notes

  1. Outlier Handling Strategy of Ensembled-Based Sequential Convolutional Neural Networks for Sleep Stage Classification
  2. PSEENet: A Pseudo-Siamese Neural Network Incorporating Electroencephalography and Electrooculography Characteristics for Heterogeneous Sleep Staging
    • Authors: Wei Zhou, Ning Shen, Ligang Zhou, Minghui Liu, Yiyuan Zhang, Cong Fu, Huan Yu, Feng Shu, Wei Chen, Chen Chen
    • Year: 2024
    • Journal: IEEE Journal of Biomedical and Health Informatics
    • DOI: 10.1109/JBHI.2024.3403878
  3. A Lightweight Segmented Attention Network for Sleep Staging by Fusing Local Characteristics and Adjacent Information
    • Authors: Wei Zhou, Hangyu Zhu, Ning Shen, Hongyu Chen, Cong Fu, Huan Yu, Feng Shu, Chen Chen, Wei Chen
    • Year: 2023
    • Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
    • DOI: 10.1109/TNSRE.2022.3220372
  4. A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization
    • Authors: Wei Zhou, Xian Zhao, Xinhua Wang, Yuanfeng Zhou, Yalin Wang, Long Meng, Jiahao Fan, Ning Shen, Shuizhen Zhou, Wei Chen et al.
    • Year: 2022
    • Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering
    • DOI: 10.1109/TNSRE.2022.3186942
  5. An Energy Screening and Morphology Characterization-Based Hybrid Expert Scheme for Automatic Identification of Micro-Sleep Event K-Complex
    • Authors: Xian Zhao, Chen Chen, Wei Zhou, Yalin Wang, Jiahao Fan, Zeyu Wang, Saeed Akbarzadeh, Wei Chen
    • Year: 2021
    • Journal: Computer Methods and Programs in Biomedicine
    • DOI: 10.1016/j.cmpb.2021.105955