Srinivasa Kanduru
PhD (Tech)
spakan@utu.fi +358 29 450 4910 +358 40 686 5391 Joukahaisenkatu 3-5 Turku |
Heterogeneous Multi-core and Many-core Systems
On-chip Run-time Resource Management
Power/Performance/Thermal Modeling and Analysis
https://users.utu.fi/spakan/
System software for resource efficient edge computing
Machine learning for on-chip resource management
Past: Adaptive resource efficient computing, run-time approximation, dynamic power/performance management.
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- Tango: Low Latency Multi-DNN Inference on Heterogeneous Edge Platforms (2024)
- Proceedings : IEEE International Conference on Computer Design
- Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications (2024)
- International Conference on Hardware/Software Codesign and System Synthesis
- DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)
- IEEE Embedded Systems Letters
- Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023) Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases and Emerging Challenges Kanduri Anil, Shahhosseini Sina, Naeini Emad Kasaeyan, Alikhani Hamidreza, Liljeberg Pasi, Dutt Nikil, Rahmani Amir M.
- AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
- Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core platforms (2022)
- IEEE Transactions on Computers
- 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
- Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks (2022)
- International symposium on quality electronic design proceedings
- Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks (2022)
- ACM Transactions in Embedded Computing Systems
- Approximate Feature Extraction for Low Power Epileptic Seizure Prediction in Wearable Devices (2021) 2021 IEEE Nordic Circuits and Systems Conference (NorCAS) Taufique Zain, Kanduri Anil, Bin Altaf Muhammad Awais, Liljeberg Pasi
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