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 PlatformsAMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2025)
- Proceedings : Design, Automation, and Test in Europe Conference and ExhibitionJMIR Formative Research
- Invited Paper: Mindful AI for Pervasive Health and Wellbeing (PHW)Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core platforms (2025)
- IEEE/ACM International Conference on Computer-Aided DesignJournal of Systems ArchitectureInternational symposium on quality electronic design proceedings
- ISCA: Intelligent Sense-Compute Adaptive Co-Optimization of Multimodal Machine Learning Kernels for Resilient mHealth Services on WearablesAdaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2025)
- IEEE Design and Test
- (2025)
- IEEE/ACM International Conference on Computer-Aided DesignIEEE Transactions on Computers
- Adaptive approximate computing in edge AI and IoT applications: A reviewHybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks (2024)
- (2024)
- Proceedings of the Asia and South Pacific Design Automation Conference
- EA2: Energy Efficient Adaptive Active Learning for Smart WearablesWork-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications2024
- Proceedings : International Symposium on Low Power Electronics and Design
- 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
- (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
- (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.
- 2022
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
- 2022
- Digital Health-Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence (2022)
- (2022)
- 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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