PeopleofSuperintelligence

Researcher

Puneet Sharma

Puneet Sharma is a computer scientist whose research spans networking and AI infrastructure. He earned a B.Tech. in computer science and engineering at IIT Delhi in 1993, completed a Ph.D. in computer science at USC in 1998, and joined HP Labs as a research scientist. He coauthored RFC 2362 for PIM-SM multicast routing; by 2012, ACM recognized him as a Distinguished Member, and IEEE named him a Fellow in 2014 for contributions to scalable networking, software-defined networks, and energy-efficient data centers. In May 2026, he presented lessons from Maestro and Wixor, projects that address Wi-Fi quality-of-experience orchestration and cellular 5G resource scheduling. As of October 2026, he is an HPE Fellow and vice president who directs the Networking and Distributed Systems Lab, leading research in AI for infrastructure, multi-cloud resource orchestration, 5G/Wi-Fi, and security.

Now at
Hewlett Packard Enterprise and Hewlett-Packard
Works
308
Citations
7,901
h-index
41
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1993

    A B.Tech at IIT Delhi

    At IIT Delhi, he earns a B.Tech. in computer science and engineering in 1993.

  2. 1998

    A USC doctorate

    He earns a Ph.D. in computer science at the University of Southern California in 1998.

  3. 1998

    Research scientist at HP Labs

    In 1998, he joins HP Labs as a senior research scientist. His work spans network measurement and monitoring, wireless networks, quality of service, and data-center networks.

  4. 1998

    The PIM-SM specification

    In 1998, he coauthors RFC 2362, the Protocol Independent Multicast–Sparse Mode specification for multicast routing.

  5. By 2012

    ACM Distinguished Member

    By 2012, he is an ACM Distinguished Member alongside SIGCOMM colleagues Elizabeth M. Belding and Sung-Ju Lee.

  6. 2014

    An IEEE Fellowship

    IEEE names him a Fellow in 2014 for contributions to the design of scalable networking, software-defined networks, and energy efficiency in data centers.

  7. May 2026

    AI for Wi-Fi and 5G

    In May 2026, he presents lessons from the Maestro and Wixor projects, which tackle Wi-Fi quality-of-experience orchestration and cellular 5G resource scheduling.

  8. As of October 2026

    HPE Fellow and lab director

    As of October 2026, he is an HPE Fellow, vice president, and director of the Networking and Distributed Systems Lab at HPE Labs. He leads research in edge-to-cloud-to-exascale infrastructure, multi-cloud resource orchestration, AI for infrastructure, 5G/Wi-Fi, and security.

Career

  1. Since 2019Hewlett Packard EnterpriseFellow and Vice President
  2. 2017–2024Amity University
  3. 2015–2024UiT The Arctic University of Norway
  4. 2012–2014Høgskolen i Sør-Trøndelag
  5. 2010–2025Siemens
  6. 1998–2025Hewlett-PackardResearch Scientist

Education

  1. 1998University of Southern CaliforniaPhD
  2. 1993IIT DelhiB.Tech.

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. ElasticTree: saving energy in data center networks2010 · 970 citations
  2. DevoFlow2011 · ACM SIGCOMM Conference (SIGCOMM) · 959 citations
  3. A machine-learning approach for computation of fractional flow reserve from coronary computed tomography2016 · Journal of Applied Physiology · 406 citationsWith Dorin Comaniciu
  4. A Power Benchmarking Framework for Network Devices2009 · Lecture notes in computer science · 388 citations
  5. Coronary CT Angiography–derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling2018 · Radiology · 244 citations

From OpenAlex, as of 21 October 2026.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Hewlett-Packard. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  2. 23% of people shaping AI who left a university for a company later returned to a universityIncludes Hewlett-Packard. We estimate that 468 of the 2,011 people shaping AI who left a university for a company (23%) later returned to a university after a median of 5 years, and 163 of 829 (20%) made the reverse round trip.
  3. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Southern California. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  4. Universities had a net outflow of 2,068 moves in AI careersIncludes University of Southern California. Our estimates of career flows and median h-index across universities and companies in AI, including the role of joint appointments and earlier academic jobs.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Puneet Sharma ithistory.org. Checked 21 October 2026.
  2. Rethinking Networking through the Lens of AI cni.iisc.ac.in. Checked 21 October 2026.
  3. Puneet Sharma: Publications shiftleft.com. Checked 21 October 2026.
  4. 2012 Annual Report | ACM SIGCOMM sigcomm.hosting2.acm.org. Checked 21 October 2026.
  5. IEEE Fellows 2010-2019 comsoc.org. Checked 21 October 2026.
  6. When Does AI Truly Help in Networking? Reflections from Maestro and Wixor wireless.rice.edu. Checked 21 October 2026.