JUN WON HO | Computer Engineering | Best Researcher Award

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Dr. JUN WON HO | Computer Engineering | Best Researcher Award

Research Fellow at Incheon National University, South Korea.

Dr. Jun Won-Ho 🎓 is a dedicated Research Fellow at Incheon National University, South Korea 🇰🇷. He earned his Ph.D. in Computer Engineering in February 2023 🧠, focusing on sleep pattern analysis in an unconscious, non-intrusive state 🛏️. His innovations aim to revolutionize sleep health through biosensor-based technologies 💡. With peer-reviewed publications in SCI-indexed journals 📚 and a patent on body weight estimation while lying in bed 🧾, Dr. Jun is making sleep monitoring accessible and home-based. His work bridges healthcare and engineering, offering practical solutions for sleep apnea detection 🩺 using biosensors and ambient signals 🌐.

Professional Profile:

ORCID

Suitability for Best Researcher Award – Dr. Jun Won-Ho

Dr. Jun Won-Ho is highly suitable for the Best Researcher Award due to his pioneering research at the intersection of biomedical engineering and computer science. Despite being an early-career researcher, he has demonstrated remarkable innovation and scientific productivity, especially in the field of non-intrusive sleep health monitoring. His Ph.D. and postdoctoral work have resulted in SCI-indexed journal publications, a granted patent, and the development of AI-based, contact-free technologies to address global health concerns like sleep apnea—showing both originality and real-world impact.

🎓 Education and Experience

  • 🎓 Ph.D. in Computer Engineering – Incheon National University (2023)

  • 🧪 Research Fellow – Incheon National University (Current)

  • 📄 Published in SCI-indexed journals – Including Sensors

  • 🛏️ Doctoral Research – Focused on unobtrusive sleep pattern analysis

  • 🔬 Ongoing Research – Development of self-screening technology for sleep apnea

  • 🧾 Patent Holder – System for estimating body weight while lying on a bed

🚀 Professional Development

Dr. Jun Won-Ho has significantly contributed to the field of sleep science and biomedical engineering 🧠. His journey began with a strong academic foundation in computer engineering 🎓, which he has transformed into impactful research focused on real-world health challenges 🩺. He has authored articles in SCI-indexed journals 📚 and currently works on a cutting-edge sleep apnea screening solution using biosensors and environmental data 🌙📊. His patented invention 🧾 and active engagement in non-contact health monitoring technologies reflect his innovative mindset and commitment to improving global health accessibility 🌍💡.

🧬 Research Focus Category

Dr. Jun Won-Ho’s research falls under the category of Biomedical Engineering and Sleep Science 🧠🛌. He is especially focused on unobtrusive health monitoring, developing systems that use biosensors, physiological signals, and environmental data to analyze sleep patterns and detect sleep disorders like apnea 😴🩺. His goal is to eliminate the need for intrusive clinical testing such as polysomnography 🧪 and instead offer home-based, AI-powered health solutions 🌐📲. His patented work on weight estimation during sleep complements his broader mission of advancing digital health technologies for continuous, contact-free care 🧾💡.

🏅 Awards and Honors

  • 🧾 Patent Granted – System for Estimating Body Weight While Lying on a Bed (KR 10-2556030)

  • 📄 SCI-Indexed Publications – Published 2 articles in renowned journals like Sensors

  • 📌 Ph.D. Achievement – Doctorate completed with impactful research in 2023

  • 🏆 Nominated for Best Researcher Award – For contributions to biomedical sleep technology

  • 🧠 Research Innovation Recognition – Development of non-contact sleep apnea screening system

Publication Top Notes

1. Detection of Sleep Posture via Humidity Fluctuation Analysis in a Sensor-Embedded Pillow

  • Published: April 30, 2025

  • Journal: Bioengineering

  • DOI: 10.3390/bioengineering12050480

  • Summary: This study introduces a novel method for detecting sleep posture by analyzing humidity fluctuations using sensors embedded in a pillow. The system monitors changes caused by respiration and perspiration, offering a non-invasive approach to sleep posture detection.

2. Sleep Pattern Analysis in Unconstrained and Unconscious State

  • Published: November 29, 2022

  • Journal: Sensors

  • DOI: 10.3390/s22239296

  • Citation Count: 6

  • Summary: This research analyzes sleep patterns in individuals without physical constraints or active awareness. Utilizing various sensors, the study collects physiological and environmental data to classify sleep stages, providing insights into natural sleep behaviors.MDPI

3. Multi-Sensor Data Fusion with a Reconfigurable Module and Its Application to Unmanned Storage Boxes

  • Published: July 19, 2022

  • Journal: Sensors

  • DOI: 10.3390/s22145388

  • Citation Count: 12

  • Summary: This paper presents a reconfigurable module for multi-sensor data fusion, applied to unmanned storage boxes. By integrating data from various sensors, the system enhances reliability and security in automated storage environments.

Conclusion

Dr. Jun Won-Ho exemplifies the qualities of a Best Researcher Award recipient through his innovative mindset, impactful biomedical applications, and commitment to global health technology advancement. His work is not only academically rigorous but also practically transformative, making essential health monitoring more accessible, affordable, and patient-friendly. He stands out as a rising star in biomedical engineering, well-deserving of this prestigious recognition.

Yumeng Su | Engineering | Best Researcher Award

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Mr. Yumeng Su | Engineering | Best Researcher Award

Mr. Yumeng Su at Shanghai Jian Qiao University, China.

Su Yumeng 🎓, a top-ranking computer science undergraduate at Shanghai Jian Qiao University 🇨🇳, excels in AI 🤖, robotics 🚁, and embedded systems 🧠. With hands-on experience in drone development, ROS, and deep learning 💡, he has published impactful research and led award-winning teams 🏆. His technical expertise spans Python, MATLAB, LaTeX, and advanced hardware platforms like Jetson Nano and STM32 💻. Beyond academics, he’s a dynamic leader and athlete 🏀🚴‍♂️, known for his resilience and innovation in intelligent systems and smart hardware applications 🔍. Su’s work bridges theoretical AI with real-world applications 🌐.

Publication Top Notes

ORCID

Suitability for Best Researcher Award – Su Yumeng

Su Yumeng is a highly promising and exceptionally driven early-career researcher whose blend of technical excellence, innovation, and leadership places him as a top contender for the Best Researcher Award. As an undergraduate, his hands-on contributions to AI, robotics, and embedded systems are not only commendable but groundbreaking, particularly for his academic level. He demonstrates a rare ability to translate theory into impactful real-world applications, bridging research with innovation in autonomous systems, drone technology, and intelligent hardware solutions.

🔹 Education & Experience

  • 🎓 B.Sc. in Computer Science & Technology, Shanghai Jian Qiao University (2021–Present)

  • 📍 Focus: AI, Robotics, Embedded Systems, and Smart Hardware

  • 📚 Completed key courses with top grades (AI, Python, Robotics, Microcontroller Principles, etc.)

  • 🚀 ROS training at East China Normal University (Basic & Advanced UAV/Vehicle Tracking)

  • 🛠 Internship at Superdimension Technology Space: Autonomous drone development

  • 🧪 Project collaboration with FAST-Lab at Zhejiang University on UAVs

🔹 Professional Development

Su Yumeng continually advances his professional skills through academic projects 🧪, interdisciplinary competitions 🏆, and real-world UAV applications 🚁. He has mastered the integration of AI models like YOLO with edge computing platforms such as Jetson Nano and Raspberry Pi 💻. His leadership in innovation competitions reflects his capacity to guide teams and deliver impactful solutions 🎯. Su’s deep involvement in research and drone design demonstrates his ability to convert academic concepts into cutting-edge technology 💡. With practical ROS experience and sensor fusion expertise, he remains at the forefront of smart automation and robotics 🌐.

🔹 Research Focus Category

Su Yumeng’s research focuses on Artificial Intelligence in Embedded and Autonomous Systems 🤖, especially in smart robotics and deep learning applications for environmental perception and control 🌍. His work bridges physics-informed neural networks (PINNs) with real-time sensor fusion for drones and robotics 🤝. He explores practical challenges like crack detection in infrastructure using UAVs 🛠️, baby posture recognition on embedded platforms 🍼, and SLAM-based navigation for wheeled robots 🚗. His interdisciplinary approach merges hardware innovation with AI, yielding scalable, intelligent, and responsive systems suitable for civil engineering, healthcare, and autonomous mobility fields 🚀.

🔹 Awards & Honors

  • 🥇 National Second Prize, 17th National College Student Computer Design Competition (2024)

  • 🥉 National Bronze & Shanghai Gold, China Innovation Competition (2024)

  • 🥇 Shanghai Gold Award, Career Planning Competition (2024)

  • 🏅 First Prize, Shanghai College Student Computer Application Competition (2024)

  • 🥈 Shanghai Second Prize, Ti Cup Electronic Design Contest (2023)

  • 🥉 Bronze Award, “Challenge Cup” Entrepreneurship Plan Competition

  • 🥉 Shanghai Third Prize, China Robot & AI Competition (2024)

  • 🎖 National Motivational Scholarship ×3

  • 🎓 President “Qing Yun” Scholarship

  • 🎗 School Special Scholarship

Publication Top Notes

  • “The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV”
    Cited by: 13 | Year: 2020 ​

  • “Intelligent Crack Detection and Quantification in the Concrete Bridge: A Deep Learning-Assisted Image Processing Approach”
    Cited by: 20 | Year: 2022

Conclusion

Su Yumeng’s combination of academic excellence, deep technical knowledge, hands-on innovation, and research impact clearly distinguishes him as an ideal recipient of the Best Researcher Award. His contributions as an undergraduate are extraordinary and reflect the potential of a future global leader in AI and robotics research.

Zaohong Zhou | Engineering | Best Researcher Award

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Prof. Zaohong Zhou | Engineering | Best Researcher Award

Department of Engineering Management at Jiangxi University of Finance and Economics, China.

Short Biography 🏗️🌍

Prof. Zaohong Zhou (born March 13, 1966) is a distinguished academic specializing in Sustainable Construction Project Management and Land Economy & Resource Management. He holds a Ph.D. in Management from Nanjing Forestry University and serves as a Professor at the School of Tourism and Urban Management, Jiangxi University of Finance and Economics. With extensive research contributions, he has led multiple projects funded by prestigious institutions and published widely in esteemed journals. His work focuses on green building technologies, sustainable land use, and environmental resource management.

Professional Profile:

Scopus Profile

Education & Experience 🎓👨‍🏫

📌 Ph.D. in Management – Nanjing Forestry University, China
📌 Professor – Jiangxi University of Finance and Economics (2017–Present)
📌 Visiting Scholar – University of Applied Sciences Trier (2016–2017)
📌 Faculty – School of Resources and Environmental Management, JUFE (2003–2009)
📌 Faculty – Nanchang Forestry School of Jiangxi Province (1990–2002)

Professional Development 📚🔬

Prof. Zhou has been instrumental in education and research reforms, focusing on curriculum innovation and teaching methodologies. His contributions include pioneering micro-curriculum designs for energy-saving management and engineering mathematics. He has mentored numerous postgraduate students and participated in national-level scientific research projects. As an advocate for sustainable urban development, he collaborates with policymakers to enhance green construction technologies and optimize land resource use. His international exposure has enabled him to integrate global best practices into local contexts, contributing significantly to the advancement of sustainable management theories and applications.

Research Focus 🔍🏡

Prof. Zhou’s research centers on sustainable construction management, with a focus on green building technologies, land use optimization, and environmental resource management. His work integrates risk assessment, decision-making models, and game theory to improve efficiency in urban planning and construction projects. He has developed frameworks to analyze carbon emission efficiency, resource utilization, and prefabricated construction systems. His interdisciplinary approach combines engineering, environmental science, and management to develop resilient infrastructure and eco-friendly urban policies. Through his collaborative efforts, he contributes to reducing environmental footprints while enhancing economic sustainability.

Awards & Honors 🏆🎖️

🏅 Jiangxi Provincial Education Reform Research Grant (2019)
🏅 Teaching Reform Award – Jiangxi Province (2018)
🏅 Science & Technology Project Grant – Jiangxi Education Department (2017)
🏅 Humanities & Social Sciences Research Project Grant – Jiangxi Province (2014)
🏅 National Natural Science Foundation of China Research Participant (2014)

Publication Top Notes

📄 Title: A novel risk assessment method for advanced and environmentally friendly construction technologies integrating RBM and I-OPA
✍ Authors: Yunbin Sun, Zaohong Zhou, Qiang Li, Hongjun He
📅 Year: 2025
📚 Journal: AEJ – Alexandria Engineering Journal

Jamal Raiyn | Engineering | Best Researcher Award

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Prof. Dr. Jamal Raiyn | Engineering | Best Researcher Award

Researcher at Technical University of Applied Sciences Aschaffenburg Sciences, Aschaffenburg, Germany.

Dr. Jamal Raiyn is a distinguished researcher in applied computer science, recognized for his innovative contributions to autonomous systems, cybersecurity, and urban livability. With a focus on using computational intelligence to solve real-world challenges, his work spans diverse areas such as vehicle safety, data science, and natural product bioactivity. Dr. Raiyn has an extensive publication record, including high-impact journals like Smart Cities and PLoS ONE. His research integrates interdisciplinary approaches, bridging technology with societal needs. Notably, his work on data-driven anomaly detection and computational methods for vehicle networks has garnered global recognition. Dr. Raiyn’s passion for collaborative research and impactful problem-solving continues to define his professional journey.

Professional Profile:

Education

Dr. Raiyn holds advanced degrees in computer science, specializing in applied computational techniques. His academic foundation equips him with a robust understanding of data systems, artificial intelligence, and cybersecurity. Details about the institutions he attended and specific degrees earned could further solidify his academic credentials in this profile.

Professional Experience

Dr. Raiyn has extensive experience as a researcher and academic, contributing significantly to both theoretical advancements and practical applications in his field. Over the years, he has collaborated with various organizations and universities, leading projects that focus on enhancing safety, livability, and efficiency in urban and technological systems.

Research Interests

Dr. Raiyn’s primary research interests include computational intelligence, autonomous systems, vehicular networks, and cybersecurity. His work frequently explores interdisciplinary domains, such as integrating AI into naturalistic driving studies, predicting autonomous driving behaviors, and advancing maritime cybersecurity. These interests demonstrate a commitment to addressing contemporary challenges in technology and society.

Research Skills

Dr. Raiyn’s skills encompass advanced data analysis, machine learning, cybersecurity modeling, and system optimization. His expertise in computational intelligence allows him to solve complex, multi-dimensional problems. Proficiency in handling diverse data sets and developing predictive models has been pivotal in his impactful research contributions.

Awards and Honors

Dr. Raiyn’s research excellence has earned him multiple accolades, including recognition for his papers in the “Top 10 Must-Read Data Science Research Papers in 2022.” His highly cited works in applied sciences highlight his contributions to global knowledge. Awards for impactful publications and invited talks further reflect his standing in the academic community.

Conclusion

Dr. Jamal Raiyn’s impressive career in applied computer science exemplifies excellence in research, innovation, and societal impact. His ability to tackle pressing global issues through advanced computational techniques positions him as a leader in his field. With continued dedication to high-quality research and collaboration, Dr. Raiyn is well-deserving of recognition and accolades, including the Best Researcher Award.

Publication Top Notes

  1. Improving the Perception of Objects Under Daylight Foggy Conditions in the Surrounding Environment
    • Authors: Chaar, M.M., Raiyn, J., Weidl, G.
    • Year: 2024
  2. From Sequence to Solution: Intelligent Learning Engine Optimization in Drug Discovery and Protein Analysis
    • Authors: Raiyn, J., Rayan, A., Abu-Lafi, S., Rayan, A.
    • Year: 2024
  3. Predicting Autonomous Driving Behavior through Human Factor Considerations in Safety-Critical Events
    • Authors: Raiyn, J., Weidl, G.
    • Year: 2024
    • Citations: 1
  4. Analysis of Driving Behavior in Adverse Weather Conditions
    • Authors: Raiyn, J., Chaar, M.M., Weidl, G.
    • Year: 2024
  5. Improve Bounding Box in Carla Simulator
    • Authors: Chaar, M.M., Raiyn, J., Weidl, G.
    • Year: 2024
    • Citations: 1
  6. Improving Autonomous Vehicle Reasoning with Non-Monotonic Logic: Advancing Safety and Performance in Complex Environments
    • Authors: Raiyn, J., Weidl, G.
    • Year: 2023
    • Citations: 1
  7. Naturalistic Driving Studies Data Analysis Based on a Convolutional Neural Network
    • Authors: Raiyn, J., Weidl, G.
    • Year: 2023
    • Citations: 4
  8. Detection of Road Traffic Anomalies Based on Computational Data Science
    • Authors: Raiyn, J.
    • Year: 2022
    • Citations: 4
  9. Road Traffic Anomaly Detection Based on Deep Learning Technology
    • Authors: Raiyn, J.
    • Year: 2021
    • Citations: 1
  10. Classification of Road Traffic Anomaly Based on Travel Data Analysis
    • Authors: Raiyn, J.
    • Year: 2021
    • Citations: 6

Li Wang | Engineering | Best Scholar Award

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Li Wang | Engineering | Best Scholar Award

PHD Candiate at chongqing university, China.

Li Wang is a dedicated Ph.D. candidate at Chongqing University, specializing in electrical engineering with a focus on ice prevention and mitigation for power grids. His journey began with a B.S. in electrical engineering from Qilu University of Technology, followed by an M.S. from Sichuan University. His current research is embedded within the prestigious State Key Laboratory of Power Transmission Equipment and System Security and New Technology at Chongqing University. Li has completed three research projects, with his work published in respected journals such as Applied Thermal Engineering and Polymers. His research aims to improve power system resilience by addressing ice accumulation and insulator flashover issues. With practical experience in a State Grid Zhejiang Electric Power Co. project and a citation index of 28.5, he is emerging as a promising scholar in electrical engineering and insulation technology, with plans to continue advancing research to address industry challenges.

Profile👤

Google Scholar

Education 🎓

Li Wang completed his B.S. degree in electrical engineering from Qilu University of Technology in 2016, where he developed foundational knowledge in power systems and insulation technology. Pursuing further specialization, he earned his M.S. in electrical engineering from Sichuan University in 2019, deepening his understanding of energy transmission and system reliability. His educational background is characterized by a blend of theoretical and practical learning, equipping him to handle the challenges of power grid reliability and insulation in extreme conditions. Currently, he is a Ph.D. candidate at Chongqing University, where he is engaged with the State Key Laboratory, recognized for advancing research in power transmission security. His academic journey reflects a commitment to excellence in electrical engineering and energy infrastructure, with each step laying a foundation for his research into ice prevention and system safety.

Experience💼

Li Wang’s professional and academic experience is rooted in electrical engineering, with a focus on developing solutions to protect power systems from extreme weather. As a Ph.D. candidate at Chongqing University, he has contributed to three significant research projects, each aimed at enhancing the resilience of electrical insulation in ice-prone environments. He has also gained practical experience through his involvement in an industry project with State Grid Zhejiang Electric Power Co., which provided real-world insights into the application of his research. This blend of research and industry experience has allowed Li to apply theoretical knowledge to practical problems, particularly in addressing challenges related to ice formation on power infrastructure. His work has been featured in leading journals, showcasing his ability to contribute valuable insights to the field.

Research Interests 🔬

Li Wang’s research interests lie at the intersection of electrical engineering, material science, and environmental sustainability. He is particularly focused on developing innovative solutions for ice prevention and mitigation in power systems, which are critical for ensuring system reliability in regions prone to freezing temperatures. His work involves analyzing and improving the performance of insulators and power transmission equipment under icy conditions, with the goal of minimizing system failures and enhancing the durability of electrical infrastructure. Li is also interested in advancing knowledge on how environmental factors affect insulation performance, with implications for the future of power grid maintenance and resilience. His research is driven by a commitment to both scientific discovery and practical application, aiming to support the energy sector in adapting to increasingly challenging environmental conditions.

Awards and Honors 🏆

Li Wang has achieved notable academic milestones, underscored by a citation index of 28.5, demonstrating the impact of his research in electrical engineering. Although early in his career, his publications in esteemed journals like Applied Thermal Engineering, Plant Methods, and Polymers have established him as a promising researcher in insulation technology. His work on ice prevention for energy equipment addresses critical challenges faced by the power industry, and his contributions to three research projects have been well-recognized within his academic community. Additionally, his involvement in an industry project with State Grid Zhejiang Electric Power Co. highlights his ability to translate research into real-world applications. Li’s academic achievements and professional contributions underscore his potential as an emerging leader in the field of power grid safety and resilience.

Conclusion 🔚 

Li Wang’s research in preventing and mitigating ice damage in power grids has potential for real-world impact, making him a promising candidate for the Best Scholar Award. With future growth in collaborations and publications, he has a strong foundation to contribute significantly to his field.

Publications Top Notes 📚

Title: “Mechanism of self-recovery of hydrophobicity after surface damage of lotus leaf”
Authors: L. Wang, L. Shu, Q. Hu, X. Jiang, H. Yang, H. Wang, L. Rao
Journal: Plant Methods
Year: 2024
Citation Count: 3

Title: “Ultra-efficient and thermally-controlled atmospheric structure deicing strategy based on the Peltier effect”
Authors: L. Wang, L. Shu, Y. Lv, Q. Hu, L. Ma, X. Jiang
Journal: Applied Thermal Engineering
Year: 2024
Citation Count: 1

Ali Alshamrani | Engineering | Best Researcher Award

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Ali Alshamrani | Engineering | Best Researcher Award

Assistant professor at Taifuniversity, Saudi Arabia.

Dr. Ali M. Alshamrani is an accomplished mechanical engineer with a strong background in both academia and industry. Currently serving as an Assistant Professor at Taif University, his expertise lies in fluid mechanics, oil spill behavior, and renewable energy. His extensive research has led to multiple peer-reviewed publications in reputable journals, focusing on areas such as oil slick contraction and fragmentation, and renewable energy solutions like solar distillation. With a solid foundation in teaching and research, Dr. Alshamrani continues to contribute significantly to the advancement of mechanical engineering.

📚 Profile

Scopus

🎓 Education

Dr. Alshamrani earned his Ph.D. in Mechanical Engineering from the University of South Florida (USF) in 2022, graduating with an impressive GPA of 3.9/4.0. His doctoral studies focused on fluid mechanics, material science, and oil spill behavior. He also completed his M.Eng. at USF in 2018 with a GPA of 3.86/4.0, where he conducted research on material sciences and manufacturing processes. Dr. Alshamrani’s academic journey began with a B.Sc. in Mechanical Engineering from Umm Al Qura University in 2014, where he worked on a vortex tube cooler for his graduation project.

💼 Experience

Dr. Alshamrani’s experience spans both industry and academia. He completed internships at Saudi Aramco and King Abdullah & Al Salam Co., where he gained hands-on experience in refinery operations, aircraft maintenance, and construction projects. In academia, he has held teaching positions, including as a lecturer and lab instructor at Taif University, and as a teaching and research assistant at USF. Currently, as an Assistant Professor at Taif University, he teaches courses on fluid mechanics, heat transfer, and fluid dynamics while continuing his research in mechanical engineering.

🔬 Research Interests

Dr. Alshamrani’s research interests focus on fluid mechanics, oil spill dynamics, and renewable energy systems. His work has explored the contraction and fragmentation of crude oil slicks using chemical herders, an innovative approach to oil spill mitigation. He is also involved in research on the design and performance of wind turbines and solar distillers. His interest in combining mechanical engineering principles with environmental challenges positions him at the forefront of sustainable engineering solutions.

🏆 Awards and Honors

Throughout his academic career, Dr. Alshamrani has consistently demonstrated excellence, reflected in his high GPAs during his graduate studies. His research has been recognized at international conferences, including the American Physical Society’s Division of Fluid Dynamics meetings, where his work on oil spill dynamics was featured. Additionally, his contributions to the study of renewable energy technologies have garnered attention within the academic community, further cementing his reputation as a leading researcher in his field.

🔚 Conclusion

Dr. Ali M. Alshamrani is highly qualified for a Best Researcher Award due to his academic excellence, impactful research contributions, and teaching achievements. His expertise in mechanical engineering, particularly fluid mechanics and oil spill research, combined with his real-world industry experience, makes him a strong contender. Expanding his research scope and fostering international collaboration could further strengthen his candidacy in future awards.

Publications Top Notes 📚

Application of an AI-based optimal control framework in smart buildings using borehole thermal energy storage combined with wastewater heat recovery
Alshamrani, A., Abbas, H.A., Alkhayer, A.G., El-Shafay, A.S., Kassim, M.
Journal of Energy Storage, 2024, 101, 113824
Citations: 0

Insights into water-lubricated transport of heavy and extra-heavy oils: Application of CFD, RSM, and metaheuristic optimized machine learning models
Alsehli, M., Basem, A., Jasim, D.J., Musa, V.A., Maleki, H.
Fuel, 2024, 374, 132431
Citations: 2

Enhancing pyramid solar still performance using suspended v-steps, reflectors, Peltier cooling, forced condensation, and thermal storing materials
Alshamrani, A.
Case Studies in Thermal Engineering, 2024, 61, 105109
Citations: 0

Conceptual design and optimization of integrating renewable energy sources with hydrogen energy storage capabilities
Zhao, Q., Basem, A., Shami, H.O., Ahmed, M., El-Shafay, A.S.
International Journal of Hydrogen Energy, 2024, 79, pp. 1313–1330
Citations: 1

Intelligent computing approach for the bioconvective peristaltic pumping of Powell–Eyring nanofluid: heat and mass transfer analysis
Akbar, Y., Huang, S., Alshamrani, A., Alam, M.M.
Journal of Thermal Analysis and Calorimetry, 2024, 149(15), pp. 8445–8462
Citations: 1

Dimensionless dynamics: Multipeak and envelope solitons in perturbed nonlinear Schrödinger equation with Kerr law nonlinearity
Afsar, H., Peiwei, G., Alshamrani, A., Alam, M.M., Aljohani, A.F.
Physics of Fluids, 2024, 36(6), 067126
Citations: 2

Intelligent computing for the electro-osmotically modulated peristaltic pumping of blood-based nanofluid
Akbar, Y., Çolak, A.B., Huang, S., Alshamrani, A., Alam, M.M.
Numerical Heat Transfer; Part A: Applications, 2024
Citations: 0

Neural network design for non-Newtonian Fe3O4-blood nanofluid flow modulated by electroosmosis and peristalsis
Akbar, Y., Huang, S., Alshamrani, A., Alam, M.M.
Modern Physics Letters B, 2024, 2450394
Citations: 1

Analysis of interfacial heat transfer coefficients in squeeze casting of AA6061 aluminum alloy with H13 steel die: Impact of section thickness on thermal behavior
Khawale, V.R., Alshamrani, A., Palanisamy, S., Sharma, M., Alrasheedi, N.H.
Thermal Science, 2024, 28(1), pp. 223–232
Citations: 0

Investigation of the performance of a double-glazing solar distiller with external condensation and nano-phase change material
Alshamrani, A.
Journal of Energy Storage, 2023, 73, 109075
Citations: 4