Scholar
Iraklis Anagnostopoulos
Google Scholar ID: 7vY_19IAAAAJ
Southern Illinois University, Carbondale
Machine Learning VLSI
Embedded Systems
Many Core systems
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Citations & Impact
All-time
Citations
822
H-index
15
i10-index
24
Publications
20
Co-authors
19
list available
Contact
Email
iraklis.anagno@siu.edu
CV
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Publications
7 items
Carbon-Aware Routing for Function Calling in Edge-Cloud LLM Systems
2026
Cited
0
Sponge Attacks on Sensing AI: Energy-Latency Vulnerabilities and Defense via Model Pruning
2025
Cited
0
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices
2025
Cited
0
Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability
2025
Cited
0
Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers
2025
Cited
0
Late Breaking Results: Leveraging Approximate Computing for Carbon-Aware DNN Accelerators
2025
Cited
0
Multi-Agent Geospatial Copilots for Remote Sensing Workflows
2025
Cited
0
Resume
Academic Achievements
June 2025: Paper 'Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers' accepted by IEEE Transactions on Computers
May 2025: Two papers accepted at ISVLSI 2025
April 2025: Presented three papers at DATE 2025, one nominated for Best Paper
January 2025: Two papers accepted at ISCAS 2025
November 2024: Two papers accepted at DATE 2025, including 'RankMap' as a Best Paper Award Candidate
July 2024: Paper 'MapFormer' accepted at ICCAD 2024
June 2024: Paper 'Carbon-Aware Design of DNN Accelerators' accepted at IEEE ISVLSI
May 2024: Two papers accepted by IEEE Transactions on Emerging Topics in Computing and IEEE Embedded Systems Letters
April 2024: Received College Rising Star Faculty Award and Outstanding Teacher of the Year Award
December 2023: Paper on hardware-aware DNN compression accepted by IEEE Transactions on Emerging Topics in Computing
September 2023: NSF-funded project 'DESC: Towards Greener AI Computing' awarded
April 2023: Paper 'Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints' won Best Paper Award at DATE 2023
February 2023: Paper 'OmniBoost' accepted at DAC 2023
Co-authors
11 total
Dimitrios Soudris
Professor, Electrical & Computer Eng., National Technical Univ. of Athens
Georgios Zervakis
Assistant Professor, Computer Engineering & Informatics, University of Patras
Jörg Henkel
Professor of Computer Science, Karlsruhe Institute of Technology
Hussam Amrouch
Professor (W3) of AI Processor Design, Technical University of Munich
Andreas Karatzas
Southern Illinois University, Carbondale
Dimitrios Stamoulis
Harbin Institute of Technology
Sotirios Xydis
Assistant Professor, School of ECE, National Technical University of Athens
Vasileios Tsoutsouras
University of Cambridge