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ISAIL Advisory Council

Manu Awasthi

Manu Awasthi

Associate Professor
Ashoka University

Distinguished Expert

Prof. Awasthi earned his PhD in Computer Science from the University of Utah and a Bachelor of Technology in Computer Science and Engineering from IIT(BHU) Varanasi.

Before joining Ashoka, Prof. Awasthi was with the Department of Computer Science and Engineering at IIT Gandhinagar. Prior to that, he spent two years with Micron’s  Architecture Definition Group (ADG) in Boise, ID and three years with Samsung’s Memory Solution Lab in San Jose, CA, where he was involved in R&D, evaluation and prototyping of next generation memory and storage systems. He has served on program committees of many conferences, was awarded the Early Career Research Award (ECRA) by Science and Education Research Board (SERB), a Research Fellowship by IIT Gandhinagar and a Teaching Fellowship by the University of Utah. He is the co-author of two best paper award winning publications.

Prof. Awasthi is primarily interested in problems involving design of computer systems and associated trade-off analysis at multiple levels of the computing stack including architecture, system software, programming languages and large scale computing deployments. In the recent past, his work has revolved around multiple aspects of system design – from workload characterization, to design and optimization of memory and storage hierarchies, to proposing, evaluating and optimizing novel system-level architectures and non-traditional computing paradigms for a wide variety of computing devices and workloads.

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The Indian Society of Artificial Intelligence and Law (ISAIL.IN) is an artificial intelligence industry forum, founded by Abhivardhan in 2018. Our mission as an independent, not-for-profit industry forum for the analytics & AI industry in India is to promote responsible development of artificial intelligence and its standardisation in India.

Enforcing AI standards in the Indian and Indo-Pacific markets is hard. And yet, ISAIL.IN intends to document data and inputs associated with the market tendencies around three facets of artificial intelligence: its adoption, research around it, and its real-life policy implications across as many sectors as possible.


This is why, the AiStandard.io Alliance, administered by ISAIL.IN, intends to establish an allies of AI entities in India, Asia and the Global South, to develop market-friendly AI standards, with sector-specific, and sector-neutral contexts.

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