Ritesh Mukherjee

Adjunct Faculty,  Multidisciplinary Graduate Engineering Programs

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Dr Ritesh Mukherjee is an accomplished leader focusing on global communications and technology. Ritesh helms product strategy and innovation at DriveNets, focusing on pioneering core network transformations and harnessing AI’s potential in networking.

Before joining DriveNets, Ritesh held key leadership roles at several industry giants. As Senior Vice President and General Manager at Inseego, he oversaw product design, solutions engineering, technical marketing, and customer success. At Reliance Jio, Ritesh managed a global portfolio of market-leading enterprise solutions as Vice President. As Vice President of Product Management at 128 Technology (acquired by Juniper Networks), he led SD-WAN and cloud development. Before that, he was a Product Management Leader at Cisco, leading the software operating systems group. Ritesh’s leadership has been instrumental in engineering some of the largest deployments of enterprise and operator networks globally.

Complementing his professional roles, Ritesh is also a dedicated educator. He shares his Computer Networks and Security expertise as an Adjunct Faculty Member at Northeastern University and the Benjamin Franklin Cummins Institute of Technology.

Ritesh’s academic journey is equally impressive. He holds a Ph.D. in Computer Science from Concordia University, Montreal, a testament to his deep understanding and contributions to the field.

Selected Publications

  • Yaser Khamayseh, Wail Mardini, J. William Atwood and Monther Aldwairi, “Dynamic framework to mining Internet of Things for multimedia services”, Expert Systems, vol. 37, no. 5, October 2020. doi://10.1111/exsy.12404.
  • Shadi A. Aljawarneh, Vangipuram Radhakrishna and John William Atwood, ”Ultimate: Unearthing Latent Time Profiled Temporal Associations”, Foundations of Science, vol. 25, pp. 1147–1171. doi://10.1007/s10699-019-09594-8
  • Shadi Aljawarneh, Aurea Anguera, John William Atwood, Juan A. Lara and David Lizcano, “Particularities of Data Mining in Medicine: Lessons Learned from Patient Medical Time Series Data Analysis”, EURASIP Journal on Wireless Communications and Networking, vol. 2019, iss. 1, pp. 1–29, 2019. doi://10.1186/s13638-019-1582-2.
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