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Sangram Redkar

Mechanical and Aerospace Engineering

Arizona State University

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About Professor Sangram Redkar

At Arizona State University, a leader in innovative research and education, the Mechanical and Aerospace Engineering department is renowned for its cutting-edge advancements and interdisciplinary collaboration. The department's commitment to excellence in teaching and research fosters an environment where students and faculty engage in pioneering projects that push the boundaries of engineering. With a focus on areas such as robotics, control systems, and nonlinear dynamics, ASU stands out as a respected institution that not only educates the next generation of engineers but also contributes significantly to the field of mechanical and aerospace engineering.

🧬Research Focus

Professor Sangram Redkar, an Associate Professor in this distinguished department, conducts impactful research that spans nonlinear dynamics, robotics, and data-driven control techniques. His work leverages Koopman theory to create interpretable models for complex systems, enhancing the understanding and control of nonlinear dynamics. By integrating advanced control strategies, including adaptive and fractional-order control, Professor Redkar's research aims to improve the performance and reliability of robotic platforms, ranging from bio-inspired robots to autonomous underwater vehicles. This innovative approach holds the potential to revolutionize applications in various sectors, including biomedical engineering and environmental monitoring, paving the way for breakthroughs in human-centered robotic technologies.

🎓Student Fit & Career

Graduate students seeking to thrive under Professor Redkar's mentorship should possess a strong foundation in control theory, robotics, and nonlinear dynamics, alongside a passion for interdisciplinary research. Ideal candidates are those who are curious, motivated, and willing to explore complex engineering challenges. Engaging in graduate research under his guidance can prepare PhD students for diverse career paths in academia, industry, and research institutions, where they can contribute to the evolving fields of robotics and control systems. Professor Redkar’s academic mentorship emphasizes professional growth, enabling students to become leaders in their respective disciplines.

Research Areas

nonlinear dynamicsroboticsdata-driven controlKoopman theoryfractional-order controlbio-inspired roboticsadaptive control

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