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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- Exploiting Approximation for Run-time Resource Management of Embedded HMPs (2025)
- ACM Transactions in Embedded Computing Systems
- HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms (2025)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
- ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on Wearables (2025)
- IEEE Design and Test
- Adaptive approximate computing in edge AI and IoT applications: A review (2024)
- Journal of Systems Architecture
- Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2024)
- Proceedings of the Asia and South Pacific Design Automation Conference
- EA2: Energy Efficient Adaptive Active Learning for Smart Wearables (2024) ISLPED '24: Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design Alikhani, Hamidreza; Wang, Ziyu; Kanduri, Anil; Liljeberg, Pasi; Rahmani, Amir M.; Dutt, Nikil
- ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets (2024)
- International Conference on Wearable and Implantable Body Sensor Networks
- SEAL: Sensing Efficient Active Learning on Wearables through Context-awareness (2024)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
- 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
- Energy-Performance Co-Management of Mixed-Sensitivity Workloads on Heterogeneous Multi-core Systems (2021)
- Proceedings of the Asia and South Pacific Design Automation Conference
- Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness (2021) 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS) Shahhosseini Sina, Kanduri Anil, Mehrabadi Milad Asgari, Naeini Emad Kasaeyan, Seo DongJoo, Lim Sung-Soo, Rahmani Amir M., Dutt Nikil
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