Bhumip Khasnabish

Adjunct Faculty,  Software Engineering and Information Systems

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About

Bhumip Khasnabish is a distinguished Technology Evangelist with a passion for innovation, entrepreneurship, and advanced networking technologies. His work spans cutting-edge developments in 5G/B5G networks, edge computing, software-defined networking (SDN), network functions virtualization (NFV), and the application of artificial intelligence, machine learning, and analytics to modern communication systems. His career began with pioneering research in artificial neural networks (ANNs) for high-speed packet routing, which was the focus of his 1992 doctoral dissertation.

Bhumip has held pivotal roles at companies such as BNR/Nortel, GTE/Verizon, ZTE, and FW-Boston Research Center. His contributions have resulted in numerous patents and industry-recognized advancements, particularly in SDN management, 5G network orchestration, and smart grid technology. He has also authored key publications, including IETF RFCs and other drafts, solidifying his status as a thought leader in the networking domain.

In addition to his industry achievements, Bhumip is an accomplished educator, having developed and taught advanced courses at prominent universities such as Northeastern University, Boston University, Brandeis University, Bentley University, and Rivier University. His courses cover topics ranging from SDN and network forensics to big data systems and web-based application design.

Bhumip has received multiple awards for his contributions to teaching, research, and innovation, including the Commonwealth Scholarship (1984), GTE/Verizon STAR and patent awards, and the ONF award in 2016. His enthusiasm for technology is matched by his personal interests in photography, running, and yoga, making him a well-rounded professional with a passion for lifelong learning and sharing knowledge.

Selected Publications

Publications:

Prototypes:

  • Prototyping and Productization: 5G/5GA/B5G and MEC (any-edge/core cloud) based IT/OT Monitoring Solutions for Data Insight to Intelligent Action (D2A) with/without Human Intervention.

Patents: