Chandigarh University Luckow campus | India
AUTHOR PROFILE
EARLY ACADEMIC PURSUITS
Ms. Sapna Baluni began her academic journey at Hemwati Nandan Bahuguna Garhwal University, where she earned her B.Sc. in Physics, Chemistry, and Mathematics from July 2013 to May 2016. She continued her studies at the same institution, completing her M.Sc. in Mathematics from August 2016 to May 2018. Ms. Baluni then pursued her Ph.D. in Nonlinear Dynamics and Synchronization of Neural Networks at the Indian Institute of Technology (BHU), Varanasi, under the supervision of Prof. Subir Das. Her doctoral research, completed in May 2024, focused on Nonlinear Dynamics, emphasizing Synchronization of Neural Networks and the application of advanced mathematical techniques in this domain.
PROFESSIONAL ENDEAVORS
Ms. Baluni currently serves as an Assistant Professor in Mathematical Sciences at Chandigarh University, Lucknow Campus, India, since June 2024. Her role involves teaching courses and conducting research in her areas of expertise. Prior to this, she completed her doctoral studies at IIT (BHU) Varanasi, where she actively engaged in research related to Nonlinear Dynamics and Synchronization of Neural Networks. Her academic journey is marked by her involvement in various workshops and conferences, where she has shared her knowledge and contributed to discussions on Nonlinear Dynamics and its applications.
CONTRIBUTIONS AND RESEARCH FOCUS
Ms. Baluni's research contributions focus on Nonlinear Dynamics, Stability Analysis, Synchronization, and Neural Networks. Her work explores complex mathematical models and their applications in understanding dynamic systems. She has participated in numerous workshops and conferences, including those on Nonlinear Applied Analysis, Dynamical Systems, and Computational Mathematics. Her research in Nonlinear Dynamics and related fields has provided valuable insights into system stability and synchronization, contributing to the advancement of mathematical sciences.
CITATIONS
- Citations 33
- h-index 3
- i10-index 1
IMPACT AND INFLUENCE
Ms. Baluni's work in Nonlinear Dynamics and Synchronization of Neural Networks has had a notable impact on the field of mathematical sciences. Her research has been presented at various international conferences, highlighting her contributions to understanding complex dynamic systems. Her expertise in Nonlinear Dynamics is evident through her active participation in relevant workshops and conferences, reflecting the significance and influence of her work in advancing the field.
ACADEMIC CITATIONS
Ms. Baluni's research has been recognized and cited in academic circles, underscoring the relevance of her work in Nonlinear Dynamics. Her participation in high-profile conferences and workshops demonstrates the scholarly impact of her research. The citations and recognition of her work reflect the importance of her contributions to the field and the influence she has had on advancing knowledge in Nonlinear Dynamics and related areas.
LEGACY AND FUTURE CONTRIBUTIONS
Ms. Baluni's legacy is defined by her dedication to advancing the field of Nonlinear Dynamics through innovative research and academic contributions. Her future work is expected to further explore the complexities of dynamic systems and contribute to the development of new methodologies in Nonlinear Dynamics. As an emerging expert in her field, Ms. Baluni continues to inspire future researchers and contribute to the ongoing advancement of mathematical sciences.
NONLINEAR DYNAMICS
Ms. Baluni's research prominently features the keywords Nonlinear Dynamics, Synchronization, and Neural Networks. Her work in Nonlinear Dynamics explores complex systems and their behavior, while her focus on Synchronization addresses the coordination of dynamic systems. The integration of these keywords in her research highlights the core themes of her academic pursuits and underscores her contributions to understanding and advancing the field of Nonlinear Dynamics.
NOTABLE PUBLICATION
- Synchronization of Hypercomplex Neural Networks with Mixed Time-Varying Delays
- Authors: Baluni, S., Yadav, V.K., Das, S., Cao, J.
- Journal: Cognitive Computation
- Year: 2024
- Lagrange Stability Criteria for Hypercomplex Neural Networks with Time Varying Delays
- Authors: Baluni, S., Yadav, V.K., Das, S.
- Journal: Communications in Nonlinear Science and Numerical Simulation
- Year: 2024
- Function Projective Mittag-Leffler Synchronization of Non-Identical Fractional-Order Neural Networks
- Authors: Baluni, S., Yadav, V.K., Das, S., Cao, J.
- Journal: Physica Scripta
- Year: 2024
- Quasi Projective Synchronization of Time Varying Delayed Complex Valued Cohen-Grossberg Neural Networks
- Authors: Baluni, S., Yadav, V.K., Das, S.
- Journal: Information Sciences
- Year: 2022
- Lagrange α-Exponential Synchronization of Non-Identical Fractional-Order Complex-Valued Neural Networks
- Authors: Baluni, S., Das, S., Yadav, V.K., Cao, J.
- Journal: Circuits, Systems, and Signal Processing
- Year: 2022