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
ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets (2024)
IEEE International Conference on Body Sensor Networks, International Conference on Wearable and Implantable Body Sensor Networks
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
EA2: Energy Efficient Adaptive Active Learning for Smart Wearables (2024)
International Symposium on Low Power Electronics and Desig
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
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)
Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications (2024)
International Conference on Hardware/Software Codesign and System Synthesis, International Conference on Hardware/Software Codesign and System Synthesis
(O2 Muu julkaisu )
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)
Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023)
(Vertaisarvioitu artikkeli kokoomateoksessa (A3))DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)
IEEE Embedded Systems Letters
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Digital Health-Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence (2022)
JMIR Formative Research
(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))