Professor Mriganka Sur, an alumnus of IIT Kanpur, completed his Bachelor of Technology in Electrical Engineering in 1974. He then pursued graduate studies at Vanderbilt University, obtaining both a Master’s and a Doctorate in the same field. Initially, his academic trajectory suggested a solid future in engineering research.

While conducting research, however, Professor Sur developed a profound interest in understanding the complexities of intelligence as facilitated by the brain. This inquisitiveness led him to transition from a focus on engineering to the burgeoning field of neuroscience, where he could apply engineering principles to biological systems.

Transition from Engineering to Neuroscience

Rather than abandoning his engineering background, Professor Sur adeptly integrated it into the study of the brain. He conceptualised neurons as circuits, the cortex as architectural design, and learning as a form of adaptive computation. Such insights directed his research towards brain plasticity, which refers to the brain’s remarkable ability to reorganise itself throughout an individual’s life.

His pioneering work examines the interaction between genetic influences and neural activity in shaping the cerebral cortex. Sur’s explorations delve into how experiences can lead to rewiring within neural networks, thereby illuminating the mechanisms behind learning and memory. These contributions have significantly advanced the understanding of neurodevelopmental disorders as well.

Sur’s interdisciplinary approach exemplifies a modern paradigm where engineering and neuroscience converge, paving the way for fresh insights into cognitive functions.

Current Professional Positions and Roles

Professor Sur currently holds multiple esteemed academic and research roles. He serves as the Newton Professor of Neuroscience at MIT and directs the Simons Centre for the Social Brain. Additionally, he is an Investigator at the Picower Institute for Learning and Memory, contributing to pivotal advancements in brain research.

In India, Sur collaborates with IIT Madras as a Visiting Faculty member within the Department of Computer Science and Engineering. Here, he holds the N.R. Narayana Murthy Distinguished Chair in Computational Brain Research, further bridging the gap between neuroscience and artificial intelligence.

His work not only enhances understanding of the brain but also aids in the development of intelligent systems, underscoring the interconnected nature of these fields.

Research Focus and Contributions to Neuroscience

Professor Sur’s laboratory primarily investigates how the brain develops and self-organises from infancy through adulthood. His team explores various aspects of the cerebral cortex, including neural circuit plasticity, the mechanisms underlying learning and memory formation, and the ways in which experience induces brain rewiring.

In addition to these areas, the research aims to understand autism and other developmental disorders through advanced brain imaging and computational modelling techniques. The outcomes of this research may lead to innovative therapies for both brain injuries and learning difficulties.

Through collaborative efforts, particularly with institutions like IIT Madras, Professor Sur fosters an interdisciplinary environment, aligning engineers, neuroscientists, and AI researchers in pursuit of scientific breakthroughs.

Acknowledgements and Awards

Professor Sur’s contributions to the field have garnered widespread recognition. He is a recipient of several prestigious awards, including the Distinguished Alumnus Award from IIT Kanpur and Fellowships from the Royal Society and the American Academy of Arts and Sciences.

He is also a member of the US National Academy of Medicine and the World Academy of Sciences. These accolades are a testament to his dedication and decades of significant work in areas such as brain plasticity and neural development.

His career demonstrates the potential for interdisciplinary mobility, inspiring future generations to explore diverse professional landscapes and realise that expertise can successfully cross conventional boundaries.

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