Srinivasa
Kanduru
University Teacher, 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
Twill: Scheduling Compound AI Systems on Heterogeneous Mobile Edge Platforms (2025)
IEEE/ACM International Conference on Computer-Aided Design
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Exploiting Approximation for Run-time Resource Management of Embedded HMPs (2025)
ACM Transactions in Embedded Computing Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms (2025)
Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Invited Paper: Mindful AI for Pervasive Health and Wellbeing (PHW) (2025)
IEEE/ACM International Conference on Computer-Aided Design
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables (2025)
IEEE Design and Test
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications (2024)
International Conference on Hardware/Software Codesign and System Synthesis
(O2 Muu julkaisu )
SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness (2024)
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)
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets (2024)
International Conference on Wearable and Implantable Body Sensor Networks
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
EA2: Energy Efficient Adaptive Active Learning for Smart Wearables (2024)
Proceedings : International Symposium on Low Power Electronics and Design
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)