Sakthivel Ramalingam | Computer Science | Editorial Board Member

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Assist. Prof. Dr. Sakthivel Ramalingam | Computer Science | Editorial Board Member

Vellore Institute of Technology Chennai | India

Assist. Prof. Dr. Sakthivel Ramalingamthe researcher’s work spans advanced control theory, nonlinear systems, and complex dynamical networks with a strong emphasis on cyber-physical security, resilient control design, and intelligent fuzzy systems. Their contributions focus on developing robust, finite-time, and event-triggered control and filtering strategies for Takagi–Sugeno fuzzy models, Markovian jump systems, networked control systems, and multi-agent networks subjected to uncertainties, delays, cyber attacks, actuator faults, and communication constraints. Their research advances include designing synchronization mechanisms for fractional-order systems, creating hybrid-triggered and observer-based state estimation methods, and proposing fault-tolerant and non-fragile control algorithms for large-scale intelligent systems. With more than thirty-eight SCIE-indexed publications in high-impact journals such as IEEE Transactions on Fuzzy Systems, Neural Networks, Communications in Nonlinear Science and Numerical Simulation, Applied Mathematics and Computation, Nonlinear Dynamics, and the Journal of the Franklin Institute, their work significantly contributes to resilient autonomous systems, intelligent vehicles, stochastic complex networks, and distributed optimization. Their research extends to sampled-data control, interval type-2 fuzzy systems, polynomial fuzzy models, semi-Markovian jump systems, and fractional-order complex networks. They also engage in experimental validation, synchronization analysis, and stability theory, aiming to enhance the reliability, safety, and robustness of modern intelligent systems in uncertain and adversarial environments.

Featured Publications

Sakthivel, R., Sakthivel, R., Kaviarasan, B., & Alzahrani, F. (2018). Leader-following exponential consensus of input saturated stochastic multi-agent systems with Markov jump parameters. Neurocomputing, 287, 84–92.

Sakthivel, R., Sakthivel, R., Kaviarasan, B., Lee, H., & Lim, Y. (2019). Finite-time leaderless consensus of uncertain multi-agent systems against time-varying actuator faults. Neurocomputing, 325, 159–171.

Sakthivel, R., Sakthivel, R., Nithya, V., Selvaraj, P., & Kwon, O. M. (2018). Fuzzy sliding mode control design of Markovian jump systems with time-varying delay. Journal of the Franklin Institute, 1–15.

Sakthivel, R., Kwon, O. M., Park, M. J., Choi, S. G., & Sakthivel, R. (2021). Robust asynchronous filtering for discrete-time T–S fuzzy complex dynamical networks against deception attacks. IEEE Transactions on Fuzzy Systems, 30(8), 3257–3269.

Su Cao| Big Data | Best Researcher Award

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Mr. Su Cao| Big Data | Best Researcher Award

China University of Mining and Technology |  China

Mr. Su Cao is a dedicated researcher in the field of Surveying and Mapping Science and Technology, currently pursuing his doctoral studies at the China University of Mining and Technology, Beijing. He earned his undergraduate degree in Surveying and Mapping Engineering from Jilin University and completed his master’s degree at Lanzhou Jiaotong University. With a strong academic foundation, his research focuses on multimodal data fusion, urban green space analysis, and sustainable urban planning. He has developed innovative methods for identifying and extracting the social functions of urban green spaces, constructing temporal change models with multi-level spatial gradients, and creating SDG-guided simulation approaches to predict future changes in green space distribution. His findings provide critical insights into Shanghai’s evolving green space patterns, highlighting the dominance of residential, commercial, and industrial green areas, while projecting long-term growth in conservation and community parks. Su Cao’s scholarly contributions include several high-quality publications as first author in leading journals such as Ecological Indicators, International Journal of Digital Earth, and ISPRS International Journal of Geo-Information. His research on the spatiotemporal evolution of social functions in multi-scale urban green spaces offers a valuable case study of Shanghai’s urban transformation. To date, his work has received 23 citations across 23 documents, reflecting strong academic recognition, and he has achieved an h-index of 2. At the age of 30, he demonstrates a combination of technical expertise, innovation, and future-oriented vision, contributing significantly to the advancement of geoinformatics, urban ecology, and sustainable city planning. With his growing achievements and impactful research, Su Cao is well-positioned to emerge as a leading scholar in his field, driving progress in the understanding and management of urban green infrastructure.

Featured Publications

Author(s). (2024). Multi-type and fine-grained urban green space function mapping based on BERT model and multi-source data fusion. International Journal of Digital Earth. Advance online publication.

Bilel Ammouri | Big Data | Best Researcher Award

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Assoc Prof Dr . Bilel Ammouri | Big Data | Best Researcher Award

👨‍🏫Profile Summary

Bilel Ammouri is a seasoned Data Scientist, Data Analyst, and Actuary, holding a Ph.D. in Economic Quantitative Methods from the University of Tunis. With a background in Statistics and Information Analysis, he has excelled in academia as an Assistant Professor at the University of Carthage. Bilel’s extensive professional journey includes roles as a Senior Data Scientist at Axefinance and a Mission Leader Quantitative Analyst at Ernst & Young. His expertise spans Machine Learning, Quantitative Analysis, and Data Mining, with proficiency in Python, R, and SAS. Bilel is recognized for developing robust statistical models and credit risk analytics. Passionate about continuous learning, he actively contributes to the field through diverse projects and ongoing research.

🌐 Professional Profiles

 

🎓 Educational Journey

Embarking on a journey of continuous learning, I pursued a Ph.D. in Economic Quantitative Methods at the University of Tunis from 2014 to 2019. My commitment to knowledge didn’t stop there; I obtained a degree in Engineering with a focus on Statistics and Information Analysis from the University of Carthage in 2012 and a Master’s in Industrial Economics from the University of Tunis between 2003 and 2008.

💼 Professional Expedition

Assistant Professor at the University of Carthage (Since December 2022) In my current role, I serve as an Assistant Professor in Quantitative Methods. Leading the quality committee, my responsibilities extend to modules covering diverse topics like Biometrics, Deep Learning, Algorithms and Programming, E-commerce, and Business Plan.

Mission Leader Quantitative Analyst at Ernst & Young (October 2022 – March 2023) At Ernst & Young, I assumed the role of Mission Leader Quantitative Analyst in Actuarial services. My mission involved comparing scenarios with external consensus, auditing normative principles related to valuation and accounting of ECL, and developing a default probability model for the factoring sector under IFRS9.

Senior Data Scientist at Axefinance (May 2019 – September 2022) My tenure at Axefinance as a Senior Data Scientist was marked by the development of statistical and machine learning models, including credit risk models, fraud detection systems, and various data mining initiatives. I played a key role in assessing model stability, performance, and conducting regular reviews. Additionally, I contributed to the development of a financial document recognition model and a framework for scorecard calculation.

Statistical Expert at ARAB MAGHREB UNION, Rabat, Morocco (April 2016 – November 2016) During my time at ARAB MAGHREB UNION, I served as a statistical expert, contributing to the design of a macroeconomic indicators database for Arab Maghreb countries. I was responsible for preparing periodic reports based on these indicators.

🚀 Technical Proficiencies

My technical arsenal includes over 5 years of hands-on experience in Machine Learning, Quantitative Analysis, Data Mining, and extensive use of tools like Python, R, MATLAB, SAS, Power BI, Tableau, and SQL.

🌟 Personal Touch

A creative and diligent individual, I possess a strong ability to adapt to various work environments and cultures. Known for my optimism, I excel in team collaboration and effective people management.

🔍 Continuous Development and Specialized Training

To stay at the forefront of technological advancements, I consistently invest in my skill set. Recent endeavors include training in Artificial Intelligence and Deep Learning for Medical Applications and a Masterclass in Machine Learning for Credit Risk Analytics conducted in Python & SAS.

🌐 Global Exposure

My educational and professional pursuits have not only been confined to Tunisia but have expanded globally, including experiences in Frankfurt, Germany, and diverse projects impacting economic performance in Tunisia.

 

📚Top Noted Publication

  • “The Dynamics of Ecological Convergence to an Economic Model of Degrowth through Coherence Wavelet Analysis” (2023) – Published in Sustainable Futures. DOI: 10.1016/j.sftr.2023.1001271

 

  • “Does time-frequency scale analysis predict inflation? Evidence from Tunisia” (2021) – Published in the International Journal of Computational Economics and Econometrics. DOI: 10.1504/IJCEE.2021.114551

 

  • “The growth-CO2 emissions relationship and its effect on sustainable development: Evidence from coherence wavelet analysis” (2019) – Published in the Journal of Energy and Development.

 

  • “Forecasting inflation in Tunisia during instability: Using dynamic factors model a two-step based procedure based on kalman filter” (2019) – Published in the International Journal of Computational Economics and Econometrics. DOI: 10.1504/IJCEE.2019.097794

 

  • “Causality links among renewable energy consumption, CO2 emissions, and economic growth in Africa: evidence from a panel ARDL-PMG approach” (2017) – Published in Environmental Science and Pollution Research. DOI: 10.1007/s11356-017-8850-7

 

  • “The Dynamic Effects of Time, Health, and Well-Being on Pollution: A Post-Johannesburg Earth Summit Assessment” (2017) – Published in the Journal of Energy and Development.

 

  • “Dynamic effects of mergers and acquisitions on the performance of commercial European banks” (2016) – Published in the Journal of Knowledge Economy. DOI: 10.1007/s13132-016-0389-1