Srinivasa Kanduru
PhD (Tech)
spakan@utu.fi +358 29 450 4910 +358 40 686 5391 Joukahaisenkatu 3-5 Turku |
Areas of expertise
Heterogeneous Multi-core and Many-core Systems
On-chip Run-time Resource Management
Power/Performance/Thermal Modeling and Analysis
Heterogeneous Multi-core and Many-core Systems
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 computing
Machine learning for on-chip resource management
Past: Adaptive resource efficient computing, run-time approximation, dynamic power/performance management.
Publications 
2 of 4
- Tango: Low Latency Multi-DNN Inference on Heterogeneous Edge Platforms (2024)
- Proceedings : IEEE International Conference on Computer Design
(A4 Refereed article in a conference publication ) - Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications (2024)
- International Conference on Hardware/Software Codesign and System Synthesis
(Other publication) - DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)
- IEEE Embedded Systems Letters
(A1 Refereed original research article in a scientific journal) - 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.
(A3 Refereed book chapter or chapter in a compilation book) - AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(A4 Refereed article in a conference publication ) - Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core platforms (2022)
- IEEE Transactions on Computers
(A1 Refereed original research article in a scientific journal) - 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
(A1 Refereed original research article in a scientific journal) - Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks (2022)
- International symposium on quality electronic design proceedings
(A4 Refereed article in a conference publication ) - Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks (2022)
- ACM Transactions in Embedded Computing Systems
(A1 Refereed original research article in a scientific journal) - 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
(A4 Refereed article in a conference publication )
UTU Research Portal