![Srinivasa Kanduru profile picture](/sites/default/files/styles/profile_picture_horizontal/public/images/profile/1101575.jpg?itok=oQOHmj4P)
Srinivasa
Kanduru
Senior Researcher, Health Technology
PhD (Tech)
Areas of expertise
Heterogeneous Multi-core and Many-core Systems
On-chip Run-time Resource Management
Power/Performance/Thermal Modeling and Analysis
On-chip Run-time Resource Management
Power/Performance/Thermal Modeling and Analysis
Biography
https://users.utu.fi/spakan/
Research
System software for resource efficient edge computingMachine learning for on-chip resource managementPast: Adaptive resource efficient computing, run-time approximation, dynamic power/performance management.
Publications
SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness (2024)
Design, Automation, and Test in Europe Conference and Exhibition, Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Adaptive approximate computing in edge AI and IoT applications: A review (2024)
Journal of Systems Architecture
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)
Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2024)
Asia and South Pacific Design Automation Conference, Proceedings of the Asia and South Pacific Design Automation Conference
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)
IEEE Embedded Systems Letters
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023)
(Vertaisarvioitu artikkeli kokoomateoksessa (A3))Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks (2022)
ACM Transactions in Embedded Computing Systems
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core platforms (2022)
IEEE Transactions on Computers
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks (2022)
International Symposium on Quality Electronic Design, International symposium on quality electronic design proceedings
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)
Design, Automation and Test in Europe Conference and Exhibition, Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms (2022)
IEEE Transactions on Computers
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))