LabCompass

Sangamesh Kodge

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2017
Advanced Memory and Neural ComputingPrivacy-Preserving Technologies in DataAdvanced Neural Network ApplicationsAnomaly Detection Techniques and ApplicationsStochastic Gradient Optimization Techniques

Publications

17

Citations

187

Est. group size

~2

Recurring co-author estimate

Active years

9

Publishing since 2017

Research summary
AI-generated

Sangamesh Kodge works in engineering with interests spanning neural network hardware and computing, privacy-preserving data methods, anomaly detection, and optimization techniques for machine learning. Earlier publications also touch on low-power image sensing and wearable device electronics. This research generally sits at the intersection of hardware design and machine learning systems.

Neural network hardware and memory systemsPrivacy-preserving data techniquesAnomaly detectionOptimization for machine learningLow-power sensing and wearable electronics

Publication output has been irregular over the last decade, with a gap in 2018-2019, a peak in 2020, and a gradual decline to about one to two papers per year since 2023.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.4/year recently
2017: 2 publications1718192020: 5 publications5202021: 3 publications212022: 3 publications222023: 2 publications232024: 1 publication242025: 1 publication2526
Recent publications
Publishes in
  • arXiv (Cornell University)×8
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems×2
  • IEEE Transactions on Circuits and Systems I Regular Papers×1
  • Neural Networks×1
  • IEEE Access×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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