Umaa Mahesswari G | Artificial Intellugence Engineering | Best Researcher Award

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Ms. Umaa Mahesswari G | Artificial Intellugence Engineering | Best Researcher Award

Research Scholar at College of Engineering Guindy, Anna University, India

G. Umaa Mahesswari is a highly motivated research scholar from Chennai, India, with a passion for innovation and technology. With a solid foundation in Computer Science, her academic journey spans from her B.E. at R.M.K College to a Ph.D. at Anna University, specializing in Big Data Analytics. Umaa has worked on significant projects like IoT-based air pollution detection and digital inscription readers for ancient Tamil stone inscriptions. A recipient of the prestigious Anna Research Fellowship, she is dedicated to leveraging technology for social good. Her technical expertise and passion for research make her a valuable asset in the R&D domain.

Profile

Education 📘🎓

Bachelor of Engineering (B.E.) in Computer Science from R.M.K College of Engineering and Technology, Chennai (2015-2019), with a CGPA of 8.65.Master of Engineering (M.E.) in Computer Science with a Specialization in Big Data Analytics from College of Engineering, Guindy, Anna University, Chennai (2019-2021), with a CGPA of 9.07.Ph.D. in Computer Science from College of Engineering, Guindy, Anna University (2023-present).Completed the Google Data Analytics Professional Specialization Course via Coursera (2021), enhancing her skills in data-driven problem-solving.

Experience 💼📊

Research Project Assistant at Tamil Virtual Academy (2022), working on the development of an inscription reader for ancient Tamil temple inscriptions, supervised by Dr. P. Uma Maheswari.Undergraduate project on IoT-based air pollution detection and analysis, focusing on real-time data collection and environmental monitoring.Postgraduate project on predictive analytics for plastic disposal by Walmart India, contributing to sustainable business solutions.Proficient in machine learning, data visualization, and SQL, with significant contributions to the field of Big Data Analytics.

Awards and Honors 🏆🎖

Academic Topper in the third year of her B.E. program, demonstrating her dedication to academic excellence.Nominee for Best Outgoing Student Award at the end of her undergraduate studies.Prize winner in several intra-college cultural competitions, showcasing her versatility beyond academics.Anna Research Fellowship Holder from 2023 to 2025, awarded in recognition of her research potential in Big Data Analytics.Published academic papers in esteemed venues like Springer ICTIS and Computer Society of India, highlighting her contributions to the academic community.

Research Focus 🔍💡

Umaa Mahesswari’s research focuses on leveraging Big Data Analytics, Machine Learning, and Deep Learning to solve pressing societal challenges. Her projects span diverse areas such as IoT-based environmental monitoring, predictive analytics for waste management, and digital solutions for heritage preservation (Tamil inscriptions). She aims to develop data-driven solutions that improve sustainability and drive innovation. Her ongoing Ph.D. research explores pattern recognition and data visualization techniques to extract meaningful insights from large datasets, with the goal of enhancing decision-making processes in both academic and practical settings.

Conclusion

G. Umaa Mahesswari is an exceptional candidate for the Best Scholar Award due to her innovative research, academic achievements, and technical expertise. By further broadening her research scope and international collaborations, she could elevate her already impressive profile and contribute even more profoundly to the global research community.

Publication Top Notes

SmartScanPCOS: A Feature-Driven Approach to Cutting-Edge Prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence

Journal: Heliyon
Published: October 2024
DOI: 10.1016/j.heliyon.2024.e39205
Contributors: G. Umaa Mahesswari; P Uma Maheswari

Xiaona Song | Regulating Technology | Best Researcher Award

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Prof Dr. Xiaona Song | Regulating Technology | Best Researcher Award

Professor at Regulating Technology, Henan University of Science and Technology, China

Prof. Dr. Xiaona Song is a prominent researcher in control theory and dynamic systems. With a PhD from Nanjing University of Science and Technology, they have held positions at Henan University of Science and Technology in China. Their work focuses on network-based estimation, synchronization of dynamic networks, and adaptive control of nonlinear systems. Prof. Dr. Song has published extensively, holds software copyrights and patents, and serves as an associate editor and reviewer for several journals. Their contributions have had a significant impact on the field.

Professional Profiles:

Education:

Prof. Dr. Xiaona Song’s education includes a PhD from Nanjing University of Science and Technology, Nanjing, China (2006-2011), and visiting scholar positions at Utah State University, Utah, USA (2009), Southern Illinois University, Carbondale, USA (2016-2017), and Yeungnam University, Daegu, South Korea (2019).

Experience:

Prof. Dr. Xiaona Song has a rich and diverse background in academia and research, spanning over a decade. They began their career as a Lecturer at Henan University of Science and Technology in Luoyang, China, where they taught from June 2011 to October 2013. During this time, they contributed to the university’s academic and research activities, gaining valuable experience in teaching and mentoring students. In October 2013, Prof. Dr. Song was promoted to the position of Associate Professor, where they continued to excel in their research and teaching roles. Their work focused on stability analysis and control for fractional-order systems and fuzzy systems, as well as control and synchronization of fractional-order chaotic systems. Prof. Dr. Song’s dedication to their field was further demonstrated through their involvement in several research projects supported by the National Natural Science Foundation of China. In December 2019, Prof. Dr. Song was appointed as a Professor at Henan University of Science and Technology, a position they currently hold. Throughout their career, Prof. Dr. Song has been recognized for their contributions to the field, including their role as an Associate Editor for several journals and their work as a reviewer for numerous publications. Their commitment to research and education continues to make a significant impact in their field and beyond.

Awards & Honors:

Prof. Dr. Xiaona Song has been honored with several awards in recognition of their outstanding contributions to academia and research. They have received the Outstanding Young Scientist Award from Henan Province, China, acknowledging their significant achievements and potential in the field. Additionally, Prof. Dr. Song has been awarded the Excellence in Research Award from Henan University of Science and Technology, Luoyang, China, highlighting their excellence in research activities and academic endeavors. Their work has also been recognized with a Best Paper Award from the International Conference on Control Systems and Robotics, underscoring the impact of their research in the scientific community. These awards serve as a testament to Prof. Dr. Song’s dedication, innovation, and excellence in their field.

Research Interest:

Prof. Dr. Xiaona Song’s research interests encompass several areas of applied mathematics and engineering. They are particularly focused on stability analysis and control for fractional-order systems and fuzzy systems. Additionally, their research includes control and synchronization of fractional-order chaotic systems, which has applications in various fields such as secure communication and data encryption. Another area of interest for Prof. Dr. Song is image processing, where they explore techniques to enhance the quality and accuracy of images. Their work in these areas contributes to the advancement of knowledge and technologies that benefit society.

Achievements:

Prof. Dr. Xiaona Song has achieved significant milestones in their academic and research career, demonstrating a commitment to excellence and innovation. One of their notable achievements includes the development of High-Precision Panoramic Stitching Software, which enables the seamless stitching of panoramic images with high precision, enhancing the quality of panoramic views. Additionally, Prof. Dr. Song has obtained patents for several innovative products, such as adjustable size trash cans, height-adjustable multi-purpose crutches, and hangable folding lift desks, showcasing their creativity and contribution to product development. Furthermore, Prof. Dr. Song has demonstrated strong research leadership by leading multiple research projects supported by the National Natural Science Foundation of China, showcasing their ability to secure funding and lead successful research initiatives. They have also authored several books and papers on stability analysis and control for fractional-order systems and fuzzy systems, as well as control and synchronization of fractional-order chaotic systems, contributing significantly to the advancement of knowledge in these areas.

Publications:

  1. A new image encryption algorithm based on the fractional-order hyperchaotic Lorenz system
    • Z Wang, X Huang, YX Li, XN Song
    • Chinese Physics B 22 (1), 010504
    • 126 citations
    • 2013
  2. Network-based passive estimation for switched complex dynamical networks under persistent dwell-time with limited signals
    • Y Wang, X Hu, K Shi, X Song, H Shen
    • Journal of the Franklin Institute 357 (15), 10921-10936
    • 99 citations
    • 2020
  3. Extended dissipative synchronization for semi-Markov jump complex dynamic networks via memory sampled-data control scheme
    • YA Liu, J Xia, B Meng, X Song, H Shen
    • Journal of the Franklin Institute 357 (15), 10900-10920
    • 98 citations
    • 2020
  4. Event-driven NN adaptive fixed-time control for nonlinear systems with guaranteed performance
    • X Song, P Sun, S Song, V Stojanovic
    • Journal of the Franklin Institute 359 (9), 4138-4159
    • 90 citations
    • 2022
  5. Neuro-fuzzy-based adaptive dynamic surface control for fractional-order nonlinear strict-feedback systems with input constraint
    • S Song, B Zhang, X Song, Z Zhang
    • IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 3575-3586
    • 89 citations
    • 2019
  6. Adaptive command filtered neuro-fuzzy control design for fractional-order nonlinear systems with unknown control directions and input quantization
    • S Song, JH Park, B Zhang, X Song, Z Zhang
    • IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (11), 7238-7249
    • 85 citations
    • 2020
  7. Robust fault‐tolerant control of uncertain fractional‐order systems against actuator faults
    • H Shen, X Song, Z Wang
    • IET Control Theory & Applications 7 (9), 1233-1241
    • 85 citations
    • 2013
  8. Image encryption based on a delayed fractional-order chaotic logistic system
    • Z Wang, X Huang, N Li, XN Song
    • Chinese Physics B 21 (5), 050506
    • 82 citations
    • 2012
  9. Data-driven control of hydraulic servo actuator based on adaptive dynamic programming
    • V Djordjevic, V Stojanovic, H Tao, X Song, S He, W Gao
    • Discrete & Continuous Dynamical Systems-Series S 15 (7)
    • 81 citations
    • 2022
  10. Event-triggered H∞ control for networked discrete-time Markov jump systems with repeated scalar nonlinearities
    • X Song, Y Men, J Zhou, J Zhao, H Shen
    • Applied Mathematics and Computation 298, 123-132
    • 80 citations
    • 2017

 

 

 

Jiajia Chen | Automation | Young Scientist Award

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Assoc Prof Dr. Jiajia Chen | Automation | Young Scientist Award

Associate Professor at Automation, Shandong University of Technology, China

Dr. Jiajia Chen is an Associate Professor at Shandong University of Technology, specializing in key technologies and applications of energy storage, smart grid enhancement, demand-side management, and power pricing. She holds a Ph.D. and M.Eng. from South China University of Technology and a B.Eng. from Linyi University. Dr. Chen has conducted research funded by various grants, including the National Natural Science Foundation of China, focusing on topics such as bidirectional power resource aggregation, optimal control of flexible DC distribution systems, and voltage stability in renewable power systems. She has also served in academic and editorial roles, highlighting her commitment to advancing research and knowledge in her field.

Professional Profiles:

Education:

Associate Professor Dr. Jiajia Chen is currently affiliated with Shandong University of Technology (SDUT), where she has been serving since January 2016. Her research interests lie in the key technologies and applications of energy storage, flexibility, and resilience enhancement of smart grids, demand-side management and power pricing, as well as the operation and control of agricultural networks. In addition to her role at SDUT, Dr. Chen also holds part-time positions as the Deputy Secretary-General of Shandong Electrical Technology Society and the Young Editorial Board of Electric Power Construction Journal. Dr. Chen has also contributed to the academic community through her role as a Visiting Scholar at Cleveland State University, USA, from September 2018 to August 2019. During this time, she focused on the Department of Electrical Engineering. Her academic journey includes a Ph.D. from South China University of Technology (SCUT), where she majored in Power System and Its Automation from September 2011 to December 2015. Dr. Chen received the First-class Scholarship of SCUT during her Ph.D. studies. Prior to her Ph.D., she completed her Master of Engineering in Mathematics and Applied Mathematics, also at SCUT, where she was awarded the First-class Scholarship. Dr. Chen began her academic pursuits with a Bachelor of Engineering in Mathematics and Applied Mathematics from Linyi University (LNU), where she received the First-class Scholarship of LYU, graduating in July 2010.

Academic Research:

Dr. Jiajia Chen has been involved in several research projects focusing on various aspects of power systems and energy management. One of her projects, funded by the National Natural Science Foundation of China (Grant 52377110), explores a user-side multi-decentralized bidirectional power resource aggregation mechanism and cooperative control. The project aims to evaluate credible capacity and state of energy for generalized energy storage under multiple uncertainties, as well as cooperative control of multiple dispersed bidirectional power resources considering active-reactive coupling. She has also worked on the research project funded by the National Natural Science Foundation of China (Grant 51807112) focusing on multi-time scale stability and optimal control of flexible DC distribution systems. This project involves research on algorithm design for the optimal control of flexible DC distribution systems. Another project, funded by the National Natural Science Foundation of China (Grant 51707109), involves research on the topology method of enhanced voltage stability online power grid considering uncertainty and contingency set. The aim is to improve the stability of renewable power systems through the theoretical basis and design of an uncertain optimization model and algorithm.

Publications:

  1. Combining multi-step reconfiguration with many-objective reduction as iterative bi-level scheduling for stochastic distribution network
    • Authors: J.Y. Li, J.J. Chen, Y.X. Wang, W.G. Chen
    • Year: 2024
  2. Fuzzy semi-entropy based downside risk to low-carbon oriented multi-energy dispatch considering multiple dependent uncertainties
    • Authors: P.H. Jiao, J.J. Chen, X. Cai, Y.L. Zhao
    • Year: 2024
  3. Enhancing resilience of agricultural microgrid through electricity–heat–water based multi-energy hub considering irradiation intensity uncertainty
    • Authors: Y.Q. Zhang, J.J. Chen, Y.X. Wang, L. Feng
    • Year: 2024
  4. Robust scheduling of virtual power plant with power-to-hydrogen considering a flexible carbon emission mechanism
    • Authors: Z. Yang, K. Li, J. Chen
    • Year: 2024
  5. Random clustering and dynamic recognition-based operation strategy for energy storage system in industrial park
    • Authors: G.J. Yan, J.J. Chen, J.Y. Liu, W.G. Chen, B.Y. Xu
    • Year: 2023
  6. A resilience enhancement strategy for multi-microgrid in extreme scenarios based on electric vehicles
    • Authors: K. Sun, W. Chen, J. Chen, W. Yin
    • Year: 2023
  7. Credibility Theory-Based Information Gap Decision Theory to Improve Robustness of Electricity Trading under Uncertainties
    • Authors: X. Zhao, P. Wang, Q. Li, L. Feng, J. Chen
    • Year: 2023
  8. Flexibility operation for integrated energy system considering hydrogen energy under inertia characteristics and stepped carbon trading mechanism
    • Authors: P.H. Jiao, X. Cai, L.L. Wang, Y.L. Zhao, Y.F. Cao
    • Year: 2023
  9. Pricing Mechanism and Trading Strategy Optimization for Microgrid Cluster Based on CVaR Theory
    • Authors: W. Chen, Y. Zhang, J. Chen, B. Xu
    • Year: 2023
  10. Credibility theory to handle uncertain renewable energy: A fuzzy chance constrained AC optimal power flow
    • Authors: J.H. Duan, J.J. Chen, F.W. Liu, P.H. Jiao, B.Y. Xu
    • Year: 2023

Assoc Prof Dr. Tomás Mateo Sanguino | Mechatronics | Best Researcher Award

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Assoc Prof Dr. Tomás Mateo Sanguino | Mechatronics | Best Researcher Award

Profesor Titular de Universidad at Mechatronics, Universidad de Huelva, Spain

Dr. Mateo Sanguino is an Industrial Technical Engineer (specializing in Electronics), an Electronic Engineer, and holds a Master’s Degree in University Teaching, along with a PhD in Systems Engineering and Automatics from UHU. He has been actively involved in research since 1998, working as a research fellow and freelancer at the National Institute of Aerospace Technology (INTA). He also contributed to a specific project at the Higher Council for Scientific Research (CSIC) in 2003/04. Dr. Sanguino was a member of the research group “Robotic and High Energy Astrophysics” (TIC-189) as part of the Andalusian Research Plan (PAI) of the Andalusian Government. Since 2004, he has been a teacher at UHU and has served as the deputy director of the Department of Electronic Engineering, Computer Systems, and Automatics since 2014. He is currently affiliated with the research group “Control and Robotics” (TEP192). Additionally, he founded the Spin-off company “OnuRobotics” between 2009 and 2012, which received awards from the Ministry of Innovation and Science (CICE) of the Andalusian Government and the “Creara” training plan (50K Companies).

Professional Profiles:

Education:

Tomás Mateo Sanguino holds a Ph.D. from the University of Huelva, which he obtained in 2010. Prior to his doctoral studies, he completed a Master’s in University Teaching at the University of Huelva in 2008. His academic journey began with a degree in Electronics Engineering from the University of Granada in 2001.

Research Projects:

V Jornadas ScienCity 2022 – Fomento de la Cultura Científica, Tecnológica y de Innovación en Ciudades Inteligentes, Funding body: FECYT, Junta de Andalucía, Universidad de Huelva, Cátedra de Innovación Social de Aguas de Huelva, Cátedra de la Provincia. Date: 01/12/2021 – 30/06/2023. Principal investigator: T.J. Mateo Sanguino. Total amount: 14,000 €.Improving Road Safety Using Photoluminescent Signage and Fog Computing, Funding body: Junta de Andalucía – Programa de Ayudas a la I+D+i en el Ámbito del Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI 2020). Participating entities: Universidad de Huelva, Universidad de Algarve (Portugal), Instituto Politécnico de Beja (Portugal). Date: 30 months. Principal investigator: T.J. Mateo Sanguino. Total.

Patents:

Dr. Tomás Mateo Sanguino is an Industrial Technical Engineer (specializing in Electronics), an Electronic Engineer, holds a Master’s Degree in University Teaching, and earned his Ph.D. in Systems Engineering and Automatics from the University of Huelva (UHU). He has been involved in research since 1998, working as a research fellow and freelancer at the National Institute of Aerospace Technology (INTA). In 2003/04, he was hired for a specific project or service at the Higher Council for Scientific Research (CSIC). Dr. Mateo Sanguino was part of the research group “Robotic and High Energy Astrophysics” (TIC-189) under the Andalusian Research Plan (PAI) of the Andalusian Government. Since 2004, he has been a teacher at the UHU and has served as the deputy director of the Department of Electronic Engineering, Computer Systems, and Automatics since 2014. He is currently a member of the research group “Control and Robotics” (TEP192) at UHU. Additionally, he was a founder of a Spin-off called “OnuRobotics” between 2009 and 2012, which received two prizes: one from the Ministry of Innovation and Science (CICE) of the Andalusian Government and another from the “Creara” training plan for 50K Companies.

Professional Experience:

Dr. Tomás Mateo Sanguino has held various significant roles throughout his career. He is currently the Director at the Virtual Teaching Service at the University of Huelva, a position he has held since July 11, 2021. Prior to this, he served as the Deputy Director at the Department of Electronic Engineering, Computer Systems, and Automatics, starting from October 1, 2014. Dr. Mateo Sanguino has been an Instructor of the CISCO Certified Networking Association (CCNA) program since 2007, receiving honors as an Advanced Level Instructor of Excellence from the Cisco Networking Academy in 2013, and honors as an Instructor after 10 Years of Service in 2018.

Achievements:

In his academic and research career, Dr. Mateo Sanguino has also been a member of the Research Commission of the Strategic Plan 2012-2015 and served as the Vice-Rector for Research at the University of Huelva from September 30, 2011. He completed a postdoctoral stay at École Polytechnique Fédérale de Lausanne (EPFL) in Lausanne, Switzerland, starting from June 1, 2011, with a duration of 3.5 months, focusing on the research theme of an augmented reality interface for a telepresence robot. Additionally, he received the CICE award granted by the Ministry of Innovation and Science of the Andalusian Government, totaling 3000 €, and enrollment in the ‘Creara’ entrepreneur program (Business 50 K), totaling 2000 €, in 2008.

Publications:

  1. Localization and broadband follow-up of the gravitational-wave transient GW150914
    • Authors: BP Abbott, R Abbott, TD Abbott, MR Abernathy, F Acernese, K Ackley, …
    • Journal: The Astrophysical Journal Letters
    • Volume: 826
    • Issue: 1
    • Pages: L13
    • Citations: 295
    • Year: 2016
  2. The burst observer and optical transient exploring system (BOOTES)
    • Authors: AJ Castro-Tirado, J Soldán, M Bernas, P Páta, T Rezek, R Hudec, …
    • Journal: Astronomy and Astrophysics Supplement Series
    • Volume: 138
    • Issue: 3
    • Pages: 583-585
    • Citations: 110
    • Year: 1999
  3. Diseño de laboratorios virtuales y/o remotos. Un caso práctico
    • Authors: JMA Márquez, TJM Sanguino
    • Journal: Revista Iberoamericana de Automática e Informática Industrial RIAI
    • Volume: 7
    • Issue: 1
    • Pages: 64-72
    • Citations: 88
    • Year: 2010
  4. GRB 050509b: the elusive optical/nIR/mm afterglow of a short-duration GRB
    • Authors: AJ Castro-Tirado, A de Ugarte Postigo, J Gorosabel, T Fathkullin, …
    • Journal: Astronomy and Astrophysics
    • Volume: 439
    • Issue: 2
    • Pages: 15-18
    • Citations: 77
    • Year: 2005
  5. Review on v2x, i2x, and p2x communications and their applications: a comprehensive analysis over time
    • Authors: JM Lozano Dominguez, TJ Mateo Sanguino
    • Journal: Sensors
    • Volume: 19
    • Issue: 12
    • Pages: 2756
    • Citations: 76
    • Year: 2019
  6. The development of the Spanish Fireball Network using a new all-sky CCD system
    • Authors: JM Trigo-Rodríguez, AJ Castro-Tirado, J Llorca, J Fabregat, VJ Martínez, …
    • Journal: Earth, Moon, and Planets
    • Volume: 95
    • Issue: 1
    • Pages: 553-567
    • Citations: 68
    • Year: 2004
  7. 50 years of rovers for planetary exploration: A retrospective review for future directions
    • Author: TJ Mateo Sanguino
    • Journal: Robotics and Autonomous Systems
    • Volume: 94
    • Pages: 172-185
    • Citations: 65
    • Year: 2017
  8. Building the BOOTES world-wide Network of Robotic telescopes
    • Authors: AJ Castro-Tirado, M Jelínek, J Gorosabel, P Kubánek, R Cunniffe, S Guziy, …
    • Conference: Astronomical Society of India Conference Series
    • Volume: 7
    • Pages: 313-320
    • Citations: 60
    • Year: 2012
  9. RTS2 — Remote Telescope System, 2nd Version
    • Authors: P Kubánek, M Jelínek, M Nekola, M Topinka, J Štrobl, R Hudec, …
    • Journal: AIP Conference Proceedings
    • Volume: 727
    • Issue: 1
    • Pages: 753-756
    • Citations: 60
    • Year: 2004
  10. Smart Host Microcontroller for Optimal Battery Charging in a Solar-Powered Robotic Vehicle
    • Authors: TJ Mateo Sanguino, JE Gonzalez Ramos
    • Journal: IEEE-ASME Transactions on Mechatronics
    • Volume: 18
    • Issue: 3
    • Pages: 1039-1049
    • Citations: 44
    • Year: 2013

 

Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

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Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

PhD Student at Artificial Intelligence, INTI International University, Malaysia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

👨‍🎓 Xiaofeng Wang (1980) is a PhD candidate in the Faculty of Data Science and Information Technology at INTI International University, Nilai, Malaysia. Originally from Shanxi, China, he graduated from Xinzhou Normal University with a major in Computer Science and Technology. He furthered his education at Shanxi University, specializing in Computer Systems Engineering.

Other Activity:

👨‍🏫 Currently, Xiaofeng Wang is a lecturer in the Department of Computer Science at Xinzhou Normal University in Shanxi. His primary research interests revolve around the Internet of Things, cyberspace security, artificial intelligence, and deep learning. Over the past few years, he has made significant contributions to his field, with 3 SCI papers, 1 EI paper, 2 Scopus papers, 1 book, and involvement in several research projects.

Publications:

  1. Wang, X., Othman, M., Dewi, D.A., Wang, Y. (2024). WSLC: Weighted semi-local centrality to identify influential nodes in complex networks. Journal of King Saud University – Computer and Information Sciences, 36(1), 101906.
  2. Wang, X., Wang, Y., Javaheri, Z., Moghadamnejad, N., Younes, O.S. (2023). Federated deep learning for anomaly detection in the internet of things. Computers and Electrical Engineering, 108, 108651.
  3. Wang, Y., Wang, X., Ariffin, M.M., Alqhatani, A., Almutairi, L. (2023). Attack detection analysis in software-defined networks using various machine learning methods. Computers and Electrical Engineering, 108, 108655.
  4. Wang, X. (2013). The research of digital recognition technology based on bp neural network. BioTechnology: An Indian Journal, 8(2), 180–185.