Ramanuja Kalkunte
Researcher — Optical Networks, Traffic Engineering, and ML for Network Operations
- Ph.D. Candidate, UC Davis
- Optical Networks
- Traffic Engineering
- ML for Networking
I develop user-centric solutions for network operators, applying machine learning where it delivers clear operational benefits. Recent work includes traffic management in multi-band optical networks, strategic migration to multi-band systems, and soft-failure localization.
Education
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University of California, Davis — Ph.D. (Candidate), Computer Science
Thesis: Resource Provisioning and Traffic Management in Multi‑Band Optical Networks.
M.S., Computer Science (GPA 4.0/4.0).
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San Jose State University — M.S., Electrical Engineering
Project: Resource Allocation using Hose Model in Optical Networks (GPA 3.6/4.0).
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Visvesvaraya Technological University — B.E., Electronics & Communication
Project: Traffic Collision Avoidance System (GPA 3.3/4.0).
Experience
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Research Assistant — San Jose State University
Developed deterministic algorithms for virtual network mapping in Elastic Optical Networks (EONs) to improve resource utilization.
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Associate Software Engineer — Tech Mahindra
Monitored processes using Tivoli; improved monitoring efficiency by proactively observing dependent processes.
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Student Intern — Hindustan Aeronautics Limited
Analyzed TCAS techniques and verified precision, power, and directionality functions used in aircraft collision avoidance.
Research
Machine Learning (ML)
- Effective network upgrades in multi‑band EONs using LSTM and related tools to reduce CapEx.
- Resource re‑provisioning in multi‑band optical networks with ML models to estimate signal quality for path provisioning based on current network state.
Traffic Engineering in EONs
- Strategies to enhance network throughput by exploiting diverse traffic characteristics.
- Re‑provisioning strategies to reduce blocking probability and delay upgrades.
Publications
- Federated Privacy‑Preserving Strategy for Generalizing Soft‑Failure Localization in Multi‑Carrier Optical Networks
- Seamless Upgrade from C+L to C+L+S Bands in Optical Networks with Interim Lightpath Re‑Allocation
- Increasing Information‑Carrying Capacity by Exploiting Diverse Traffic Characteristics in Multi‑Band Optical Networks
- GSNR‑aware Resource Re‑Provisioning for C to C+L‑Bands Upgrade in Optical Backbone Networks
- An Effective Strategy for Link Upgrade from C to C+L Band in Elastic Optical Backbone Networks
- Static Virtual Network Mapping with Advance Reservation in Elastic Optical Networks