Ali Nikoutadbir | Intelligent Transportation Systems | Young Researcher Award

Mr. Ali Nikoutadbir | Intelligent Transportation Systems | Young Researcher Award

Tarbiat Modares University Faculty of Electrical and Computer Engineering | Iran

Ali Nikoutadbir is a motivated and results-driven MSc graduate in Electrical Engineering with over six years of research experience in securing cyber-physical systems (CPS), particularly focusing on multi-agent systems and intelligent transportation networks. His expertise lies in developing innovative graph-theoretic and optimization-based algorithms to tackle challenges in distributed coordination control, event-triggered control, and the resilience of industrial CPS. As a Research Assistant at the Control System Science Lab, Tarbiat Modares University, Tehran, Iran (2020–2023), he designed and implemented a novel secure event-triggered control framework for vehicular platoons to counter dual deception attacks, including false data injection and global manipulation. He also developed static and dynamic event-triggering schemes ensuring secure consensus under stringent attack constraints and introduced a topology-switching strategy based on Schur stability to enhance system resilience. His theoretical advancements were validated through extensive MATLAB/Simulink simulations. Ali’s published work, including “Secure event-triggered control for vehicle platooning against dual deception attacks,” forms the foundation of his contributions to CPS security. His research expertise encompasses securing multi-agent networks against deception attacks using graph-theoretic and optimization-based methodologies, stability analysis, and end-to-end system modeling, design, and validation.

Profiles: Google Scholar

Featured Publications

"Secure event-triggered control for vehicle platooning in the presence of modification attacks"

"Secure event-triggered control for vehicle platooning against dual deception attacks"

"Estimation of the error caused by the vibration of the radar in the SAR radar aperture using the analytical condition empirical method"

Haripriya | Complex dynamical Networks | Best Researcher Award

Haripriya | Complex dynamical Networks | Best Researcher Award

Vellore Institute of Technology | India

Author Profile

Scopus

BIOGRAPHY OF M. HARIPRIYA: A RISING SCHOLAR IN MATHEMATICAL SCIENCES

EARLY ACADEMIC PURSUITS

M. Haripriya’s journey into the world of mathematics began with strong academic foundations. She completed her SSLC in 2012 from GRG Matric. Higher Secondary School , followed by her HSC from Mani Higher Secondary School in 2014. Her passion for numbers and logical reasoning guided her to pursue a Bachelor of Science in Mathematics at Nirmala College for Women, Coimbatore, where she graduated in 2017. Demonstrating a deep interest in education, she earned a Bachelor of Education (B.Ed) in Mathematics from Avinashilingam Institute, Coimbatore, in 2019. Her academic momentum continued as she completed her Master of Science (M.Sc) in Mathematics at PSGR Krishnammal College for Women, Coimbatore.

PROFESSIONAL ENDEAVORS

Haripriya’s academic career is closely aligned with her commitment to both teaching and research. While she has not explicitly listed professional teaching roles, her academic path, particularly her B.Ed qualification, suggests a foundation in pedagogy and mathematics instruction. Her current pursuit of a Ph.D. in Mathematics at the Vellore Institute of Technology (VIT), Chennai, beginning in 2022, marks her serious foray into scholarly research and higher education leadership.

CONTRIBUTIONS AND RESEARCH FOCUS ON COMPLEX DYNAMICAL NETWORKS

Haripriya’s research delves into Complex Dynamical Networks, with a focus on Synchronization, Lyapunov Stability, and Control Theory. These topics are at the intersection of applied mathematics, systems engineering, and theoretical physics, and play a critical role in modern technology such as neural networks, power grids, and communication systems. Her notable contribution includes a scholarly article titled: “Synchronization for coupling delayed complex dynamical networks in time-square-dependent looped-functionals via a new sampled-data control approach”, which reflects the novelty and technical depth of her work.

IMPACT AND INFLUENCE

Though early in her research journey, Haripriya’s work in the field of complex networks shows promising potential. By exploring advanced synchronization methods for delayed systems, she contributes to enhancing the stability and control mechanisms in interconnected systems—relevant in both scientific and industrial domains. Her work is expected to influence future research in control systems, intelligent networks, and robust systems design.

ACADEMIC CITES

While citation metrics are not provided yet, her research area is niche and rapidly expanding. As she continues to publish in reputed journals and present at conferences, her visibility in the academic world is bound to grow. Her foundational knowledge in mathematical theory, paired with practical research tools like MATLAB and LaTeX, positions her well for impactful scholarly output.

PERSONAL TRAITS AND SKILLS

M. Haripriya stands out not only for her academic proficiency but also for her personal and professional skills. She is known for her problem-solving ability, good communication, teamwork, time management, and active participation—all crucial traits for a successful researcher. Her computer proficiency in MATLAB and LaTeX further enhances her ability to conduct simulations and prepare high-quality scientific documentation.

LEGACY AND FUTURE CONTRIBUTIONS

With her rigorous academic background and active research in cutting-edge mathematical domains, Haripriya is poised to make lasting contributions to the field of dynamical systems and control theory. Her dedication to both learning and innovation reflects her potential to become a thought leader and educator. As she continues her Ph.D., the academic community can anticipate impactful research publications, international collaborations, and valuable contributions to interdisciplinary applications in science and engineering.

SUMMARY: A MATHEMATICIAN IN THE MAKING

In summary, M. Haripriya exemplifies the qualities of a dedicated academic and researcher. Her educational journey, domain expertise, and research aspirations make her a strong candidate for accolades such as the Best Researcher Award. With a blend of theoretical knowledge, practical application, and an unwavering commitment to growth, she is undeniably on a path toward academic excellence and societal impact.

NOTABLE PUBLICATIONS

"Synchronization for coupling delayed complex dynamical networks in time-square-dependent looped-functionals via a new sampled-data control approach

  • Author: Haripriya Muralikrishnan, N. Padmaja, E. Umamaheswari, Lakshmanan Shanmugam
  • Journal: Neurocomputing
  • Year: 2025