Srinivasa Kanduru

Adaptive approximate computing in edge AI and IoT applications: A review (2024)

Journal of Systems Architecture

Damsgaard Hans Jakob, Grenier Antoine, Katare Dewant, Taufique Zain, Shakibhamedan Salar, Troccoli Tiago, Chatzitsompanis Georgios, Kanduri Anil, Ometov Aleksandr, Ding Aaron Yi, Taherinejad Nima, Karakonstantis Georgios, Woods Roger, Nurmi Jari

(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))

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

Taufique Zain, Miele Antonio, Liljeberg Pasi, Kanduri Anil

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023)

Kanduri Anil, Shahhosseini Sina, Naeini Emad Kasaeyan, Alikhani Hamidreza, Liljeberg Pasi, Dutt Nikil, Rahmani Amir M.

(Vertaisarvioitu artikkeli kokoomateoksessa (A3))

DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)

IEEE Embedded Systems Letters

Alikhani Hamidreza, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M., Dutt Nikil

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks (2022)

International Symposium on Quality Electronic Design, International symposium on quality electronic design proceedings

Shahhosseini Sina, Hu Tianyi, Seo Dongjoo, Kanduri Anil, Donyanavard Bryan, Rahmani Amir M., Dutt Nikil

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)

Design, Automation and Test in Europe Conference and Exhibition, Proceedings : Design, Automation, and Test in Europe Conference and Exhibition

Naeini Emad Kasaeyan, Shahhosseini Sina, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M., Dutt Nikil

(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms (2022)

IEEE Transactions on Computers

Shamsa Elham, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M.

(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

Rodrigues Sarah M, Kanduri Anil, Nyamathi Adeline, Dutt Nikil, Khargonekar Pramod, Rahmani Amir M

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks (2022)

ACM Transactions in Embedded Computing Systems

Shahhosseini Sina, Seo DongJoo, Kanduri Anil, Hu Tianyi, Lim Sung-Soo, Donyanavard Bryan, Rahmani Amir M., Dutt Nikil

(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

Shamsa Elham, Kanduri Anil, Liljeberg Pasi, Rahmani Amir M.

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Contact

Areas of expertise

Biography

Research

Publications

Sort by:

Adaptive approximate computing in edge AI and IoT applications: A review (2024)

Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms (2024)

Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications (2023)

DynaFuse: Dynamic Fusion for Resource Efficient Multi-Modal Machine Learning Inference (2023)

Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks (2022)

AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems (2022)

Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core Platforms (2022)

Digital Health-Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence (2022)

Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks (2022)

Concurrent Application Bias Scheduling for Energy Efficiency of Heterogeneous Multi-Core platforms (2022)