Shrihari Vasudevan

Ericsson (Sweden) — Sweden

Engineering · Physical Sciences

13h-index1.0kcitations66works1.02yr avg
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Research Topics

Robotics and Sensor-Based Localization(24), Advanced Image and Video Retrieval Techniques(19), Gaussian Processes and Bayesian Inference(12), Target Tracking and Data Fusion in Sensor Networks(7), Geographic Information Systems Studies(5)

Publications66 total

Sequential Binary Classification for Intrusion Detection
2025· 2 cited
Gastrointestinal Endoscopy Classification using Fuzzy Logic and Machine Learning Algorithms
2025
Machine Learning Based Cybersecurity Framework for Healthcare Application
2025
Reproductive Endocrine Disorders: A Comprehensive Guide to the Diagnosis and Management of Infertility, Polycystic Ovary Syndrome, and Endometriosis
Cureus·2025· 8 citedOpen Access
Algorithmic trading bot using reinforcement learning
AIP conference proceedings·2025
Ascertaining trustworthiness of AI systems in telecommunications
ITU Journal on Future and Evolving Technologies·2024Open Access
BioAnalogica: SBF-Based Analogical Stories to Enhance Understanding of Complex Biological Processes
International Conference on Computers in Education·2024Open Access
Application of Machine Learning in Identifying Brain Strokes
2024
Sequential Binary Classification for Intrusion Detection
arXiv (Cornell University)·2024Open Access
Performance Analysis of Roundabouts using SIDRA: A Micro-Analytical Software
IOP Conference Series Earth and Environmental Science·2024Open Access
Ai-Native Transformation for Next-Generation Telecommunication Networks
SSRN Electronic Journal·2024· 2 citedOpen Access
Ai-Native Transformation for Next-Generation Telecommunication Networks
SSRN Electronic Journal·2024Open Access
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods
2023· 1 cited
Bayesian Regression for Interpretable Network Dimensioning
2023
Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection
2022
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods
arXiv (Cornell University)·2022Open Access
Machine learning based encrypted traffic classification using estimated application layer statistics
IET conference proceedings.·2022· 2 cited
Efficacy of Data Fusion Using Convolved Multi-Output Gaussian Processes
Journal of Data Science·2021· 5 citedOpen Access
An Empirical Study of Starting Salaries and Employment Trends of Engineering Students in India
Journal of Data Science·2021· 1 citedOpen Access
Mutual Information Based Learning Rate Decay for Stochastic Gradient Descent Training of Deep Neural Networks
Entropy·2020· 11 citedOpen Access
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Frequent Co-authors

Roland Siegwart(13), Eric Nettleton(7), Hugh Durrant‐Whyte(7), Fábio Ramos(6), Arnau Ramisa(5), Ramón López de Mántaras(5), Stefan Gächter(4), David Aldavert(4), Ricardo Toledo(4), Moninder Singh(3), Viet Nguyen(2), Adriana Tapus(2), Ahad Harati(2), Joydeep Mondal(2), Michael Peran(2), Brian Johnston(2), Rachel A. Rosenfeld(2), Arman Melkumyan(2), Steven Scheding(2), Jose F. Zubizarreta-Rodriguez(2)