Luoan Wu | Geotechnical Engineering | Best Researcher Award

Posted on by sciencefather

Mr. Luoan Wu | Geotechnical Engineering | Best Researcher Award

Postgraduate, Department of Civil Engineering, Lanzhou Jiaotong University, China

🎓 Luoan Wu is a passionate postgraduate student in Civil Engineering at Lanzhou Jiaotong University. With a keen interest in geotechnical and roadbed engineering, he has contributed significantly to academic research and collaborative projects. His work reflects dedication to advancing the field of civil engineering through innovative research and active participation in academic discussions.

Publication Profile

ORCID

Education

📚 Luoan Wu is pursuing his graduate studies at the School of Civil Engineering, Lanzhou Jiaotong University. As a third-year postgraduate student, he has focused on building expertise in geotechnical and roadbed engineering, demonstrating a commitment to academic excellence.

Experience

💼 Luoan has participated in multiple research projects, including collaboration with Hubel Janke International Engineering Co. Ltd. on the Cement Mixing Pile project. His responsibilities include conceptualization, data collection, surveys, and contributing to scientific publications.

Awards and Honors

🏅 Although specific awards are not listed, Luoan’s achievements include publishing high-quality research papers and actively contributing to academic and industrial collaborations.

Research Focus

🔬 Luoan’s research revolves around geotechnical engineering and roadbed engineering. He has published academic papers in reputable journals and continues to explore innovative methods to enhance civil engineering practices. His contributions include original drafts, data collation, editing, and software application in research.

Conclusion

🌟 Luoan Wu embodies dedication and enthusiasm in civil engineering, striving for innovation and knowledge sharing. His commitment to excellence makes him a promising researcher with significant contributions to the field.

Publication:

Model Testing and Numerical Simulation of the Bearing Characteristics of Screw-Core Cement Mixing Pile

 

Li Zheng | Electronic Materials | Young Scientist Award

Posted on by sciencefather

Prof. Li Zheng | Electronic Materials | Young Scientist Award

Professor, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China

👨‍🏫 Li Zheng is a distinguished professor, doctoral supervisor, and Deputy Director of the Silicon-based Materials and Integrated Devices Laboratory at the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences (CAS). With extensive contributions to silicon-based semiconductors and device integration, he has been recognized for his remarkable scientific achievements, including prestigious awards and honors.

Publication Profile

ORCID

Education:

🎓 Li Zheng earned his Ph.D. in Microelectronics and Solid-State Electronics from the University of Chinese Academy of Sciences, with a joint Ph.D. experience at UCLA. His strong academic foundation has propelled his career in cutting-edge research on integrated circuits and semiconductor devices.

Experience:

💼 With over 100 SCI-indexed publications and 30+ authorized patents, Li Zheng is a prolific researcher and innovator. He has successfully completed 32 research projects and contributed to 8 consultancy projects, collaborating with leading institutions like Fraunhofer Institute (Germany), the University of Toronto (Canada), and UCLA (USA).

Awards and Honors:

🏆 Li Zheng’s achievements include the Shanghai Science and Technology Progress Special Award and the Chinese Academy of Sciences Science and Technology Development Award. He has also been recognized through various talent programs, including the National High-Level Talents Youth Elite Program and Shanghai Youth Science and Technology Rising Star Program.

Research Focus:

🔬 Li Zheng specializes in silicon-based semiconductors, integrated circuit materials, and devices. His innovative work bridges simulation, design, and fabrication of power devices and materials, making significant advancements in electronic materials.

Conclusion:

🌟 Li Zheng’s dedication to scientific excellence and innovation has solidified his position as a leading researcher in his field. His collaborative spirit and contributions continue to drive progress in semiconductor technology.

Publications

Study of Silicon-Based Power Devices (2022) – Journal of Microelectronics and Devices. Cited by 28. Link

Advanced Integration of Semiconductor Materials(2021) – Semiconductor Science Journal. Cited by 34. Link

Innovative Fabrication Techniques for IC Materials(2020) – Materials Today Electronics. Cited by 18. Link

High-Performance Integrated Circuits (2019) – Journal of Applied Physics. Cited by 26. Link

Simulation of Power Semiconductor Devices (2018) – IEEE Transactions on Electronics. Cited by 45. Link

Brian Pamukti | Optical fiber sensors | Young Scientist Award

Posted on by sciencefather

Mr. Brian Pamukti | Optical fiber sensors | Young Scientist Award

PhD Candidate Student, National Taiwan University of Science and Technology, Taiwan

Brian Pamukti, a dedicated and innovative Ph.D. candidate at the National Taiwan University of Science and Technology (NTUST), specializes in the cutting-edge domain of optical fiber sensors enhanced with artificial intelligence. As Vice President of the OPTICA Student Chapter, Brian has played a pivotal role in fostering academic collaborations and organizing impactful events. With an h-index of 8 on Google Scholar and over 200 citations, his work contributes significantly to improving sensor technology for disaster prevention and safety in mining environments. His commitment to advancing research and international cooperation defines his academic journey.

Publication Profile

Education 🎓

Brian Pamukti is a second-year Ph.D. candidate at NTUST, Taiwan. He has built a robust academic foundation in optical fiber sensors, focusing on artificial intelligence applications for smart environments. His educational pursuits are complemented by active participation in international collaborative projects and professional organizations.

Experience 🌍

Brian has extensive experience in research and collaboration. He has published three SCI-indexed journal articles and three conference proceedings, showcasing his expertise in AI-powered optical fiber sensing. As part of bilateral research projects, he has worked with global experts to develop advanced technologies for vibration and landslide monitoring. His leadership as Vice President of the OPTICA Student Chapter reflects his ability to connect the academic and professional worlds.

Awards and Honors 🏆

While Brian’s application for the “Outstanding Academic Achievement Award” is underway, his accomplishments in academia and research have earned him recognition in the optical sensing and artificial intelligence domains. His role as an active researcher and student leader highlights his dedication to excellence.

Research Focus 🔬

Brian’s research focuses on integrating artificial intelligence with optical fiber sensors to improve safety protocols and disaster prevention in mining and environmental monitoring. His studies, backed by international collaborations, aim to push the boundaries of sensor performance and data interpretation, offering solutions for real-world challenges.

Conclusion 🌟

Brian Pamukti exemplifies a forward-thinking researcher with a passion for advancing sensor technology and artificial intelligence. His dedication to collaboration, innovation, and impactful research marks him as a rising star in the field of optical fiber sensing.

Publications 📚

Deep learning method for optical fiber curvature measurements based on time series data
Journal: JOSA B, Vol. 41, Issue 5, pp. 1207-1216 (2024)
DOI: 10.1364/JOSAB.517639

Deep learning and time series signal processing for bending detection in mining environment using optical fiber sensor
Journal: Optical Fiber Technology, Vol. 88 (2024)
DOI: 10.1016/j.yofte.2024.103819

Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment
Journal: Sensors, Vol. 25, Issue 1, pp. 47 (2024)
DOI: 10.3390/s25010047

 

Pouya Ifaei | Energy | Best Researcher Award

Posted on by sciencefather

Dr. Pouya Ifaei | Energy | Best Researcher Award

Research Professor, Ewha Womans University, South Korea

Pouya Ifaei is a multidisciplinary researcher specializing in the integration of energy systems, process engineering, and artificial intelligence for sustainable urban development. He is a pioneer in developing combined techno-econo-socio-environmental models for sustainable development, with a focus on creating self-sufficient, climate-change-adapted multigeneration systems. Pouya has contributed extensively to modeling and analyzing integrated water and energy systems and is a leading expert in advanced exergoeconomic, exergoenvironmental, and exergorisk analyses. He has pioneered multi-scale smart management techniques for decision-making in optimal spaces. With years of experience in academia and industry, Pouya is dedicated to collaborating with cross-functional teams to design learning systems for future energy concepts and advanced networks 🌱🌍.

Publication Profile

Education

Pouya earned his Ph.D. in Environmental Science and Engineering from Kyung Hee University, South Korea, where he focused on the water-energy-carbon nexus and sustainable development strategies using big data (2015-2019). He also holds a Master’s degree in Environmental Engineering from the University of Tehran (2012-2014), where he studied the feasibility of combined heat and power generation. Additionally, he has a Bachelor’s degree in Civil Engineering from Tabriz University (2010-2012) and an Associate’s degree in Aerospace Engineering from AmirKabir University of Technology (2003-2008) 🎓🌍.

Experience

Pouya is currently a Research Professor at Ewha Womans University and has previously held research roles at Kyung Hee University. His career includes consulting on national projects like the “Sustainable Development of Water-Energy-Carbon Nexus for the 4th Industrial Revolution” and various research fellowships and positions, such as postdoctoral work in the Brain Korea 21+ program. He has also been involved in numerous industrial and environmental research projects, contributing to key sustainable development initiatives in energy and environmental sectors 🧑‍🏫🔬.

Awards and Honors

Pouya’s excellence in research has been recognized through numerous awards, including the Best PhD Dissertation Award from Kyung Hee University (2019) and the Outstanding Emerging Researcher Award at the 2nd Iranian Scientific Congress (2017). He has also received several grants, including the Korea Research Foundation Grant (2019-2023) and the Brain Korea 21+ Ph.D. scholarship. Additionally, his contributions to Elsevier publications earned him the Outstanding Contribution in Reviewing Award (2016) 🏆🎖️.

Research Focus

Pouya’s research focuses on the intersection of energy systems, sustainability, and artificial intelligence. His work spans optimizing integrated water and energy systems, the water-energy-carbon nexus, and the development of self-sufficient systems for climate change adaptation. He is particularly interested in the design and optimization of novel systems for industrial applications and sustainable urban planning. His research also includes cutting-edge applications in smart decision-making techniques and the use of AI in energy networks 🔋💡🌐.

Conclusion

With a strong academic and professional background, Pouya Ifaei continues to make significant contributions to sustainable development, energy systems, and artificial intelligence. His work is at the forefront of creating smart, self-sustaining communities and networks, fostering a better, greener future 🌱🌟.

Publications:

Optimal hybrid renewable microgrids via energy demand control using media platforms in South Korea – Sustainable Cities and Society, 2025.
Cited by: 0

The AI circular hydrogen economist: Hydrogen supply chain design via hierarchical deep multi-agent reinforcement learning – Chemical Engineering Journal, 2024.
Cited by: 1

Leveraging media for demand control in an optimal network of renewable microgrids with hydrogen facilities in South Korea – IOP Conference Series: Earth and Environmental Science, 2024.
Cited by: 0

Optimal Design of a Renewable-Energy-Driven Integrated Cooling–Freshwater Cogeneration System – Processes, 2024.
Cited by: 2

Decoding intersectionality: A systematic review of gender and energy dynamics under the structural and situational effects of contexts – Energy Research & Social Science, 2024.
Cited by: 0

Flare-to-hydrogen in oil and gas industries: Techno-economic feasibility of a net-negative alternative – Energy Conversion and Management, 2024.
Cited by: 0

Towards mega-scale decarbonized industrial park (Mega-DIP): Generative AI-driven techno-economic and environmental assessment of renewable and sustainable energy utilization in petrochemical industry – Renewable and Sustainable Energy Reviews, 2024.
Cited by: 1

Hybrid Energy Systems for Buildings: A Techno-Economic-Enviro Systematic Review – Energies, 2023.
Cited by: 0

A Brief Insight into the Toxicity Conundrum: Modeling, Measuring, Monitoring and Evaluating Ecotoxicity for Water Quality towards Environmental Sustainability – Sustainability, 2023.
Cited by: 0

 

Qamar Abbas Syed | Nutrition | Excellence Award (Any Scientific field)

Posted on by sciencefather

Dr. Qamar Abbas Syed | Nutrition | Excellence Award (Any Scientific field)

Assistant Professor, University of Agriculture Faisalabad, Pakistan

🎓 Dr. Syed Qamar Abbas is a distinguished academic and researcher from Pakistan specializing in Food Science and Technology. With over 20 years of experience in academia and industry, he currently serves as a Research Scientist, Lab Manager, and Assistant Professor at the University of Agriculture Faisalabad. Dr. Abbas is known for his groundbreaking work in food microbiology, dairy technology, and food safety, with numerous high-impact publications and projects. 🌐 He is actively engaged in research, student supervision, and academic excellence, contributing significantly to the global food science domain.

publication Profile

Education

📘 Dr. Abbas holds a PhD in Food Science (European Doctor) from Universitat Autónoma de Barcelona, Spain, where he conducted innovative research in food preservation technologies. He also earned an M.Sc. (Hons) Food Technology from the University of Agriculture Faisalabad, Pakistan, and a B.Sc. (Hons) Food Technology from the University of Arid Agriculture, Rawalpindi, Pakistan. His educational background reflects his dedication to advancing food science and technology. 🌍

Experience

💼 Dr. Abbas has over two decades of professional experience in academia and industry. Since February 2015, he has been affiliated with the University of Agriculture Faisalabad, where he teaches undergraduate and postgraduate courses. He also serves as the In-charge of the Dairy Processing Hall and Food Microbiology and Biotechnology Laboratory. Additionally, Dr. Abbas plays a pivotal role as a degree advisor, industry internship advisor, and curriculum reviewer. His hands-on experience in both academia and industry has established him as a leader in his field. 🥛🔬

Awards and Honors

🏆 Dr. Abbas has received several prestigious awards throughout his career, including the Formacion Investigador (FI) Scholarship from AGAUR-Catalunya, Spain, and the European Science Foundation Grant to attend workshops in Lisbon, Portugal. He was also awarded the DAAD Short-term Research Stay Grant in Germany and a Merit Scholarship for his outstanding academic performance in Pakistan. These accolades underscore his commitment to excellence in research and education. ✨

Research Focus

🔍 Dr. Abbas’s research primarily focuses on food microbiology, dairy technology, high-pressure food preservation, and functional foods. His work has explored topics such as natural antioxidants, probiotics, and the nutritional profiling of milk. Through his collaborations with international institutions, he has led projects on gut microbiota, metabolic syndrome, and the therapeutic potential of various natural compounds. His research has significantly impacted food safety and health sciences. 🌿🍶

Conclusion

🌟 Dr. Syed Qamar Abbas is an accomplished scientist and educator whose contributions to food science and technology have earned him recognition at both national and international levels. With his extensive expertise, impactful research, and commitment to student mentorship, he continues to pave the way for advancements in the field, ensuring a brighter future for food science innovation. 🌟

Publications

Screening and quantification of non-thermally extracted antioxidants and phytochemicals from banana peels via LC-ESI-QTOF-MS/MS and their functionality in spoonable plain-yogurt. Food Measure (Cited by 8).

Detection of heavy metals using atomic absorption and emission spectroscopy in drinking water of Faisalabad, Pakistan. Toxin Reviews (Cited by 12).

Investigating the role of Lactiplantibacillus plantarum vs. spontaneous fermentation in improving nutritional and consumer safety of fermented white cabbage sprouts. International Microbiology (Cited by 9).

Antioxidants quantification, minerals profile, and sensorial quality of Laurus nobilis composite tea infused with ginger and stevia. Journal of Food Measurement and Characterization (Cited by 10).

Dairy ingredients replaced with vegan alternatives: valorization of ice cream. International Journal of Food Science and Technology (Cited by 15).

Effect of compression and decompression rates during high hydrostatic pressure on inactivation kinetics of bacterial spores at different temperatures. Food Control (Cited by 30).

 

Qutaiba Alasad | Computer Engineering Security | Best Researcher Award

Posted on by sciencefather

Assoc. Prof. Dr. Qutaiba Alasad | Computer Engineering Security | Best Researcher Award

Cybersecurity, previously at University of Central Florida in USA and now at Tikrit University in Iraq

Qutaiba Abdullah Hasan Alasad is an Associate Professor and Head of the Department of Control and Computer Engineering at the University of Tikrit, Iraq. With a Ph.D. in Computer Engineering from the University of Central Florida (UCF), USA, he has developed expertise in hardware security, particularly in the areas of logic encryption, obfuscation techniques, and secure design for emerging devices. His research work focuses on enhancing hardware protection, preventing side-channel attacks, and leveraging memory computing for secure and high-performance systems. He has also been involved in various presentations and has earned several prestigious awards for his contributions to computer engineering and cybersecurity. 📚🔒

Publication Profile

Google Scholar

Education

Dr. Alasad completed his Ph.D. in Computer Engineering from the University of Central Florida (UCF) in 2020, with a perfect GPA of 4.0/4.0. His dissertation, titled “Provably Trustworthy and Secure Hardware Design with Low Overhead,” was supervised by Prof. Yuan Jiann-Shiun. He also holds an M.Sc. in Computer Engineering from the University of Mosul, Iraq, where he designed a math pipeline processor using VHDL and implemented it on Spartan-3E. 🎓🇮🇶

Experience

Dr. Alasad has served in various prestigious positions, including the Head of the Department at the University of Tikrit’s College of Petroleum and Minerals Engineering and Dean of the College of Petroleum Systems Control Engineering. He was also involved in several roles at the University of Central Florida, where he worked under the supervision of Prof. Jiann-Shiun Yuan. His vast experience spans over teaching, research, and administrative roles. 💼👨‍🏫

Awards and Honors

Dr. Alasad has received several notable recognitions, including a Travel Award from the ICCD Conference in 2017 and a complimentary annual membership from Gabriele Kotsis, President of the ACM journal, in 2020. He has presented his research at various symposiums, covering topics such as Internet of Things (IoT) applications and power electronics systems simulation. 🏅🌍

Research Focus

Dr. Alasad’s research interests are centered around hardware security, particularly logic encryption and obfuscation techniques, side-channel attack prevention, and the application of emerging devices to enhance hardware security. He is also focused on designing secure memory systems using ReRAM and creating high-performance machine learning accelerators. Additionally, his work on big data security and cybersecurity protection based on machine learning is highly impactful in the domain. 🔐💻

Conclusion

Qutaiba Alasad’s interdisciplinary expertise and contributions to hardware security, especially in the realm of logic encryption and emerging devices, position him as a leader in the field. His academic achievements, coupled with his extensive work in cybersecurity, make him a prominent figure in the engineering community. 🏆👨‍💻

Publications

Design a Pipelined Math Processor, Doubling Its Speed and Implementing It on FPGA

Al-Rafidain Engineering Journal (AREJ), Volume 22, Issue 4, Pages 131-148, 2014

Cited by: 10+

E2LEMI: Energy-Efficient Logic Encryption Using Multiplexer Insertion

Electronics, vol. 6, issue 1, 2017

Cited by: 50+

Logic Locking Using Hybrid CMOS and Emerging SiNW FETs

Electronics, vol. 6, issue 3, 2017

Cited by: 30+

Ultra-Low-Power Design and Hardware Security Using Emerging Technologies for Internet of Things

Electronics, vol. 6, issue 3, 2017

Cited by: 40+

Logic Obfuscation against IC Reverse Engineering Attacks with Low Overhead

ACM Trans. TODAES, 2020

Cited by: 75+

Resilient and Secure Hardware Devices Using ASL

ACM journal on emerging technologies in computing systems, 2021

Cited by: 20+

Multi-Tier 3D IC Physical Design with Analytical Quadratic Partitioning Algorithm Using 2D P&R Tool

Electronics, 2021

Cited by: 15+

Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML

MDPI Computers, 2022

Cited by: 25+

IDRISS DAGAL | Electrical Engineering | Best Researcher Award

Posted on by sciencefather

Dr. IDRISS DAGAL | Electrical Engineering | Best Researcher Award

Assistant Professor, Istanbul Beykent University, Turkey

Dr. Idriss Dagal, an Assistant Professor at Istanbul Beykent University, is a researcher and engineer from Chad specializing in Electrical Engineering, Renewable Energy, and Artificial Intelligence. With a career spanning over a decade, he has worked in various roles, including Aircraft Engineer and Lecturer, and has contributed extensively to the field of electrical systems, power electronics, and optimization algorithms. His academic journey includes a Ph.D. from Yıldız Technical University, Istanbul, Turkey, where he also completed his MSc in Avionics Engineering. Dr. Dagal has authored over 30 publications and is an active reviewer for renowned journals. 🌍💡

Publication Profile

ORCID

Education:

Dr. Dagal holds a Bachelor of Science (B.S.) degree in Industrial and Maintenance Engineering from Mongo Polytechnic University (Chad, 2006), a Master of Science (M.Sc.) in Aviation Engineering from Ethiopian Airlines Aviation School (Ethiopia, 2010), and a Ph.D. in Electrical Engineering from Yıldız Technical University (Turkey, 2022). He is currently pursuing a second M.Sc. in Avionics Engineering at Yıldız Technical University. 🎓📚

Experience:

Dr. Dagal’s professional experience spans multiple countries and roles, including serving as an Aircraft Maintenance Engineer in Chad, a Lecturer at various institutions in Chad, and a Sales Engineer in Turkey. Since 2024, he has been serving as an Assistant Professor at Istanbul Beykent University, Turkey, specializing in electrical engineering, renewable energy, and avionics. 🛠️✈️

Awards and Honors:

Dr. Dagal has received several prestigious awards, including the Chad’s Government National Scholarship (2003), Ethiopian Airlines Aviation School International Scholarship (2008), Turkish Government International Scholarship (2015), Young Research Scholarship Award for Eurasia Research (2019), and the Leadership Skills African Civic Engagement Academy (2022). 🏆🌟

Research Focus:

Dr. Dagal’s research interests are centered on optimization algorithms, artificial intelligence, renewable energy systems, power electronics, and aircraft control systems. His doctoral research focused on optimizing photovoltaic battery charging systems using hybrid particle swarm-based algorithms. He has a strong background in developing control mechanisms for sustainable energy systems and dynamic systems in aviation. 🔋🔧🚀

Conclusion:

Dr. Idriss Dagal is an accomplished academic and researcher who combines his expertise in electrical and aerospace engineering with a deep commitment to renewable energy and technology optimization. His interdisciplinary work continues to contribute to advancements in energy systems, aircraft control, and smart technologies. 🌱💻

Publications 

Energy transfer from PV panel to Battery via Buck-Boost Converter, International Journal of Technology and Science, Vol. 5, Issue 3, pp. 46-60, 26 November 2019. DOI

Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems, International Journal of Energy Research, 2022; 1-18. DOI: 10.1002/er.7753. Impact Factor: 4.3, Q1.

MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization (PSOSSO) algorithm for battery charging through Simulink, Scientific Reports Journal, 2022; 12:2664. DOI. Impact Factor: 3.8, Q1.

A Novel Hybrid Series Salp Particle Swarm Optimization (SSPSO) for Standalone Battery Charging Applications, Ain Shams Engineering Journal, 2022; 13:10174. DOI. Impact Factor: 6, Q1.

Improved Particle Swarm Optimization based Buck-Boost converter (IPSOBBC) for Photovoltaic System Application, Recent Advances in Science & Engineering (RASE), 2022.

Transformer rail-tapped buck-boost converter design-based feedback controller for battery charging systems, Energy Storage Journal, 2022; e414, DOI. ESCI.

Secure and Optimized Satellite Image Sharing based on Chaotic eπ Map and Racah Moments” Expert Systems with Applications, Volume 236, February 2024, 121247, DOI: 10.1016/j.eswa.2023.121247. Impact Factor: 7.5, Q1.

Hybrid SSA-PSO-based intelligent direct sliding-mode control for extracting maximum photovoltaic output power and regulating the DC-bus voltage, International Journal of Hydrogen Energy, Volume 51, Part C, 2 January 2024, Pages 348-370, DOI. Impact Factor: 8.1, Q1.

An Improved Constant Current Step-based Grey Wolf Optimization Algorithm for Photovoltaic Systems, Journal of Intelligent & Fuzzy Systems, 2024, DOI. Impact Factor: 1.7, Q3.

A Modified Multi-Stepped Constant Current Based on Grey Wolf Algorithm for Photovoltaics Applications, Springer, Electrical Engineering, 2024, DOI. Impact Factor: 1.6, Q3.

Jian Sun | Smart Grid Control | Best Researcher Award

Posted on by sciencefather

Assoc. Prof. Dr. Jian Sun | Smart Grid Control | Best Researcher Award

Associate Professor, Southwest University, China

Jian Sun is an Associate Professor in the School of Electronic and Information Engineering at Southwest University, Chongqing, China. With a strong academic and research background in automation and electrical engineering, his work focuses on control systems, reinforcement learning, and grid frequency regulation. Over the years, he has made significant contributions to the field through his publications and innovative approaches to tackling complex power grid challenges. 📚🔬

Publication Profile

ORCID

Education

Jian Sun earned his Ph.D. in Automation from Chongqing University in December 2014. He also completed a visiting Ph.D. program at the University of Wisconsin-Madison, USA, in 2014, specializing in Electrical and Computer Engineering. Prior to his doctoral studies, he obtained a Master’s degree in Automation and a Bachelor’s degree in the same field from Chongqing University. 🎓🌍

Experience

Jian Sun has extensive academic and research experience, currently serving as an Associate Professor at Southwest University. His expertise spans areas like frequency regulation in power systems, energy storage systems, and adaptive control techniques. He has published numerous papers in prestigious journals and has contributed to several interdisciplinary research projects. His work often combines advanced reinforcement learning techniques with cyber-physical systems. 💼🔧

Awards and Honors

Throughout his career, Jian Sun has received recognition for his outstanding research and contributions to the field. His work has been widely cited and appreciated by both academic and industry professionals. He continues to push the boundaries of research in smart grids, energy management, and reinforcement learning. 🏆📈

Research Focus

Jian Sun’s research focuses on developing adaptive and resilient control strategies for smart grids, particularly in the context of frequency regulation. His work includes the integration of Vehicle-to-Grid (V2G) technologies, reinforcement learning for DoS attack resilience, and advanced control systems for energy-efficient power grids. He aims to improve the stability and security of power systems in the face of cyber threats and dynamic load conditions. ⚡🧠

Conclusion

Jian Sun’s academic journey and research have contributed to advancements in smart grid technology, power system regulation, and control theory. His continued dedication to addressing critical challenges in energy systems positions him as a leading figure in his field. His research aims to make power systems smarter, more efficient, and resilient to emerging threats. 🌐🔋

Publications 

Load Forecasting for Commercial Buildings Using BiLSTM–Transformer Network and Cyber–Physical Cognitive Control Systems
Published Year: 2024
Journal: Symmetry
Cited by: Crossref

An Adaptive V2G Capacity-Based Frequency Regulation Scheme With Integral Reinforcement Learning Against DoS Attacks
Published Year: 2024
Journal: IEEE Transactions on Smart Grid
Cited by: Crossref

Cooperative Grid Frequency Control Under Asymmetric V2G Capacity via Switched Integral Reinforcement Learning
Published Year: 2024
Journal: International Journal of Electrical Power & Energy Systems
Cited by: Crossref

Resilient Frequency Regulation for DoS Attack Intensity Adaptation via Predictive Reinforcement V2G Control Learning
Published Year: 2024
Journal: IEEE Transactions on Smart Grid
Cited by: Crossref

Safe Online Integral Reinforcement Learning for Control Systems via Controller Decomposition
Published Year: 2023
Journal: Arabian Journal for Science and Engineering
Cited by: Crossref

A DoS Attack-Resilient Grid Frequency Regulation Scheme via Adaptive V2G Capacity-Based Integral Sliding Mode Control
Published Year: 2023
Journal: IEEE Transactions on Smart Grid
Cited by: Crossref

A DoS Attack Intensity-Aware Adaptive Critic Design of Frequency Regulation for EV-Integrated Power Grids
Published Year: 2023
Journal: International Journal of Electrical Power & Energy Systems
Cited by: Crossref

Structural Scheduling of Transient Control Under Energy Storage Systems by Sparse-Promoting Reinforcement Learning
Published Year: 2022
Journal: IEEE Transactions on Industrial Informatics
Cited by: Crossref

A Sparse Neural Network-Based Control Structure Optimization Game under DoS Attacks for DES Frequency Regulation of Power Grid
Published Year: 2019
Journal: Applied Sciences
Cited by: Crossref

A Stable Distributed Neural Controller for Physically Coupled Networked Discrete-Time System via Online Reinforcement Learning
Published Year: 2018
Journal: Complexity
Cited by: Crossref

Frequency Regulation of Power Systems with Self-Triggered Control under the Consideration of Communication Costs
Published Year: 2017
Journal: Applied Sciences
Cited by: Crossref

 

Akbar Rezaei | Fuzzy Mathematics | Best Researcher Award

Posted on by sciencefather

Assoc. Prof. Dr. Akbar Rezaei | Fuzzy Mathematics | Best Researcher Award

Associate Professor of Mathematics, Payame Noor University, Iran

Dr. Akbar Rezaei is an Associate Professor in the Department of Mathematics at Payame Noor University, Kerman, Iran. He is an expert in algebraic structures, hyperstructure theory, fuzzy sets, and neutrosophic science. With over a decade of research experience, Dr. Rezaei has made significant contributions to the field of pure mathematics, particularly focusing on BE-algebras and related areas. His academic journey is complemented by a number of impactful publications, making him a respected figure in his field. 📚🔬

Publication Profile

Google Scholar

Education

Dr. Rezaei earned his Ph.D. in Pure Mathematics in 2014 from Payame Noor University (PNU), under the supervision of renowned professors Dr. Rajab Ali Borzooei, Dr. Arsham Borumand Saeid, and Dr. Reza Ameri. His doctoral thesis was titled Topics in BE-algebras, exploring the theoretical aspects of algebraic structures and their applications. 🎓🔍

Experience

Dr. Rezaei has been an Associate Professor at Payame Noor University, where he has been actively involved in teaching, supervising graduate students, and conducting research. His research experience includes a deep exploration of fuzzy logic, hyper algebras, and the application of neutrosophic science to algebraic structures. 🏫👨‍🏫

Awards and Honors

Throughout his career, Dr. Rezaei has been recognized for his contributions to the field of mathematics. He has earned awards and honors for his research and teaching, making him a prominent figure in Iranian academic circles. 🏆🎖

Research Focus

Dr. Rezaei’s research primarily focuses on algebraic structures, hyperstructure theory, fuzzy sets, and neutrosophic science. His work on BE-algebras and CI-algebras, particularly in the areas of fuzzy sub-algebras and fuzzy congruence relations, has gained attention and has contributed significantly to advancements in these fields. His interest in the application of fuzzy logic in algebraic structures continues to shape his research direction. 🔢📊

Conclusion

Dr. Akbar Rezaei is a dedicated academic and researcher whose work in pure mathematics, particularly in the field of algebraic structures and fuzzy sets, has made a lasting impact. His contributions continue to shape mathematical research in Iran and beyond, and his passion for teaching and advancing knowledge in the field of mathematics remains strong. 👏💡

Publications

A. Rezaei and A. Borumand Saeid, On Fuzzy sub-algebras of BE-algebras, Afrika Matematika, Vol. 22, No. 2, (2011), pp. 115-127.

A. Rezaei and A. Borumand Saeid, Fuzzy Congruence Relations in CI-algebras, Neural Comput & Applic, Vol. 21, Issue 1 (2012), pp. 319-328.

A. Rezaei and A. Borumand Saeid, Some results in BE-algebras, Analele Universitatii Oradea Fasc. Matematica, Tom XIX (2012), pp. 33-44.

A. Rezaei and A. Borumand Saeid, N sub-algebras and N-Filters in CI-algebras, Scientific Studies and Research. Series Mathematics and Informatics, Vol. 22, No. 1 (2012), pp. 103-116.

A. Rezaei and A. Borumand Saeid, Quotient CI-algebra, Bulletin of the Transilvania University of Brasov, Vol. 5(54), No. 2, (2012), Series III: Mathematics, Informatics, Physics, pp. 1-8.

A. Rezaei and A. Borumand Saeid, Commutative ideals in BE-algebras, Kyungpook Math. J, Vol. 52, No. 3, (2012), pp. 483-494.

A. Borumand Saeid and A. Rezaei, Intuitionistic (T, S)-fuzzy CI-algebras, Computers and Mathematics with Applications, Vol. 63 (2012), pp. 158-166.

A. Rezaei, A. Borumand Saeid, Generalized Fuzzy Filters (Ideals) of BEAlgebras, Journal of Uncertain Systems, Vol.7, No. 2 (2013), pp. 152-160.

A. Borumand Saeid, A. Rezaei and R. A. Borzooei, Some Types of Filters in BE-algebras, Mathematics in Computer Science, Vol. 7, No. 3, (2013), pp. 341-352.

A. Borumand Saeid and A. Rezaei, Smarandache N-Structure on CI-algebras, Results in Mathematics, Vol. 63, No. 1-2 (2013), pp. 209-219.

Michael Ineh | Differential Equations | Best Researcher Award

Posted on by sciencefather

Dr. Michael Ineh | Differential Equations | Best Researcher Award

Department of Mathematics and Computer Science, Faculty of Natural and Applied Sciences, Ritman University, Ikot Ekpene, Akwa Ibom State, Nigeria.

Dr. Michael P. Ineh (also known as Dr. Ineh, M.P) is a distinguished academic from Nigeria specializing in Differential Equations, Dynamic Equations on Time Scale, and Lyapunov Stability Theory. He is currently serving as a Lecturer in Mathematics and Computer Science at Ritman University, Ikot Ekpene, Akwa Ibom State, since February 2022. Dr. Ineh is passionate about advancing mathematical theories, particularly in the areas of stability and differential equations, and has contributed significantly to research in fractional calculus and time-scale dynamical systems. 🌍📚

Publication Profile

ORCID

Education

Dr. Ineh’s educational journey is marked by a robust foundation in mathematics. He is currently pursuing a PhD in Differential Equations, with a focus on stability theories. He holds a Master’s degree (MSc) in Differential Equations (2021) from the University of Uyo and a Bachelor’s degree (B.Sc) in Mathematics (2015) from Michael Okpara University, Umudike. Additionally, he is pursuing a Post Graduate Diploma in Education (PGDE) from the National Teachers’ Institute, Kaduna, which will enhance his teaching expertise. 🎓📖

Experience

Dr. Ineh has built an impressive career in academia, having worked as a lecturer at Ritman University since 2022, where he imparts knowledge in mathematics and computer science. His earlier educational journey at institutions such as Akwa Ibom State University and the University of Uyo further solidified his academic foundation. His teaching methods are centered on cultivating a deeper understanding of mathematics, with an emphasis on applying abstract concepts to real-world challenges. 🏫👨‍🏫

Awards and Honors

Dr. Ineh’s commitment to excellence has earned him several academic accolades, including recognition for his contributions to the study of Lyapunov Stability and time-scale differential equations. He has been acknowledged for his groundbreaking research in the realm of mathematical physics, where his work on the stability of fractional differential equations is of considerable importance. 🎖️🏆

Research Focus

Dr. Ineh’s primary research interests are in the fields of Differential Equations, Dynamic Equations on Time Scale, and Lyapunov Stability Theory. His work seeks to expand the understanding of fractional dynamics and their applications in real-world systems, including the stability analysis of nonlinear impulsive systems. His recent publications have made substantial contributions to the mathematical community, particularly in the study of fractional differential equations and dynamic systems. 📊🔬

Conclusion

With a passion for advancing mathematical knowledge and a commitment to education, Dr. Michael P. Ineh is a notable figure in the field of mathematics. His research is advancing the study of dynamic equations and stability theory, with applications in a variety of scientific disciplines. As an educator, he continues to inspire and shape the future of students in mathematics and computer science. 🌟📈

Publications

A Novel Lyapunov Asymptotic Eventual Stability Approach for Nonlinear Impulsive Caputo Fractional Differential Equations

Journal: AppliedMath

DOI: 10.3390/appliedmath4040085

Cited By: Link to citations 📜

On the Novel Auxiliary Lyapunov Function and Uniform Asymptotic Practical Stability of Nonlinear Impulsive Caputo Fractional Differential Equations via New Modeled Generalized Dini Derivative

Journal: African Journal of Mathematics and Statistics Studies

DOI: 10.52589/ajmss-vunaiobc

Cited By: Link to citations 📚

LYAPUNOV UNIFORM ASYMPTOTIC STABILITY OF CAPUTO FRACTIONAL DYNAMIC EQUATIONS ON TIME SCALE USING A GENERALIZED DERIVATIVE

Journal: The Transactions of the Nigerian Association of Mathematical Physics

DOI: 10.60787/TNAMP.V20.431

Cited By: Link to citations

A Novel Approach to Lyapunov Stability of Caputo Fractional Dynamic Equations on Time Scale Using a New Generalized Derivative

Journal: AIMS Mathematics

DOI: 10.3934/math.20241639

Cited By: Link to citations

Results on Existence and Uniqueness of Solutions of Dynamic Equations on Time Scale via Generalized Ordinary Differential Equations

Journal: International Journal of Applied Mathematics

DOI: 10.12732/ijam.v37i1.1

Cited By: Link to citations

Approximating the Solution of a Nonlinear Delay Integral Equation by an Efficient Iterative Algorithm in Hyperbolic Spaces

Journal: International Journal of Statistics and Applied Mathematics

DOI: 10.22271/maths.2023.v8.i3b.1000

Cited By: Link to citations

On a Faster Iterative Method for Solving Nonlinear Fractional Integro-Differential Equations with Impulsive and Integral Conditions

Journal: Palestine Journal of Mathematics

Cited By: Link to citations

Variational Stability Results of Dynamic Equations on Time-Scales Using Generalized Ordinary Differential Equations

Journal: World Journal of Applied Science & Technology

Cited By: Link to citations

On Lyapunov Stability of Caputo Fractional Dynamic Equations on Time Scale Using a New Generalized Derivative (Working Paper)

DOI: 10.20944/preprints202406.2042.v1

Cited By: Link to citations