Our Team

Professor Shubhanshu Shekhar is an Assistant Professor of Electrical and Computer Engineering whose work lies at the core of modern intelligent systems. His research spans machine learning and statistical methodology, with a focus on developing rigorous mathematical foundations that support reliable, interpretable, and high-performance learning algorithms. He investigates how statistical theory, probabilistic modeling, and computational techniques can be integrated to build models that make sound decisions under uncertainty, adapt to complex data, and generalize effectively across real-world environments. At TheSSML, Professor Shekhar plays a key role in advancing the theoretical and practical understanding of AI systems, guiding students to explore the interplay between learning theory, algorithm design, and responsible deployment of machine intelligence.