Sundeep Oberoi

Bio

Dr. Sundeep Oberoi have 36 years of industry, research and entrepreneual experience in diverse areas of Information and Communication Technology. His experience covers a wide spectrum of experience in Delivery Management of large and critical programmes, technology development, product development, business development, system integration and management of research laboratories. He have a Ph.D. in Computer Science from I.I.T Bombay, an M.Tech in Computer Science from I.I.T. Delhi and a B.Tech in Chemical Engineering from I.I.T. Kanpur.

He was responsible for the establishment of the I.I.T. Bombay – Tata Infotech Research Laboratory in 1997 and was its first head.

He retired from the Tata Group in November 2020 and prior to retirement served as the Global Head for the Cybersecurity Business Unit of Tata Consultancy Services and was recognized as #4 in the top 25 Cybersecurity Executives of 2020 – “The IT Services Report”.

He was responsible for security execution in several large Government of India projects like the AWAN project of Indian Army, Passport Seva Project, MCA-21, security of EVMs and many other important projects.

Research Areas

My research interests broadly fall into
• Digital Societies
• Technology and Society
And I am also interested in how sometimes technologies might create or mitigate
Structural Inequalities

There have been rapid advances in the field of Information Technology over the past few decades. The dramatic drop in price of computing power and the ubiquitous availability of communications has completely transformed how information technology is applied and deployed.

These advances are resulting in a phenomenon that may be termed “softwarization of everything”. While this is not a new phenomenon, it has significantly accelerated and percolated into almost every domain.

Simultaneously there is a significantly higher participation of the private sector in areas that used to be the preserve of Governments or Government owned corporations. The telecommunications sector is a good example of that.

These trends pose significant challenges to the policy maker. Firstly the rapid evolution of technology and the ability for it to be deployed instantly creates a situation where technology can be and is deployed before there is sufficient experience with its effects. Secondly software models are just very rough abstractions of systems and create possibilities that do not exist in the real world. Thirdly the fact that there is so much participation by the private sector in critical infrastructure makes it important that they are represented at the policy formulation table.

The first problem is how do we ensure that a technology does not have unintended negative consequences and if such consequences arise how are they to be dealt with. The second problem is how do we ensure that systems are trustworthy and meet the expectations of their stakeholders.

My current research interests broadly are:
• Policy aspects of technology deployment at scale
• Policy aspects of Data Governance and Management
• Standards as a vehicle for policy implementation
• Trustworthiness of systems and systems-of-systems
• Cybersecurity

Academic Background

Ph.D. in Computer Science, I.I.T Bombay

M.Tech in Computer Science from I.I.T. Delhi

B.Tech in Chemical Engineering from I.I.T. Kanpur

Courses Taught

PS-632: Contemporary issues in Data Policy and Governance

  • The importance of data in almost every activity in today’s world is well recognized. We are generating and using vast quantities of data. This has raised several technical, economic and policy questions which impact the lives and livelihoods of every single person. These issues need formal academic study to evolve informed strategies to reap the benefits of data and avoid the harms.
  • This course, in particular, will help students in the policy domain to develop a good appreciation of the actual details of newer technologies and the practical challenges, deployment experiences and trade-offs involved in their deployment and use. This detailed appreciation will be linked to the policy choices and the implications of those choices. Students will also learn how to use these technologies as aids in evidence based policy formulation.
  • The course will equip the student to:
    – Understand traditional data management
    – Appreciate the impact of technical trends in the collection, storage, handling and use of data
    – Understand the use of Machine Learning and AI in evidence based policy making
    – Appreciate the regulatory and legal trends
    – Appreciate the key technical challenges to compliance while maximizing the benefit
    – Appreciate the key policy issues and trade-offs that are possible