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Iraklis Anagnostopoulos

Iraklis Anagnostopoulos, Associate Professor

Office Hours: WF: 10AM-1PM

Ph.D. National Technical University of Athens, 2014

Dr. Iraklis Anagnostopoulos's research focuses on the integration of artificial intelligence, hardware/software co-design, and efficient computing architectures. His work explores innovative approaches for low-power AI and optimizing deep learning systems for heterogeneous platforms. He is particularly interested in improving the performance and adaptability of deep neural network accelerators, enhancing multi-modal large language models for edge devices, and developing novel methods for efficient AI computation.

SIU Professor Iraklis Anagnostopoulos

Engineering E-114
618-453-7034
iraklis.anagno@siu.edu
Personal Website
Lab: Embedded Systems Software

Selected Publications:

  • RankMap: Priority-Aware Multi-DNN Manager for Heterogeneous Embedded Devices. A. Karatzas, D. Stamoulis, I. Anagnostopoulos. Conference on Design, Automation and Test in Europe (DATE), 2025. Best Paper Candidate
  • Less is More: Optimizing Function Calling for LLM Execution on Edge Devices. V. Paramanayakam, A. Karatzas, I. Anagnostopoulos, D. Stamoulis. Conference on Design, Automation and Test in Europe (DATE), 2025.
  • Balancing Throughput and Fair Execution of Multi-DNN Workloads on Heterogeneous Embedded Devices. A. Karatzas, I. Anagnostopoulos. IEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2024.
  • MapFormer: Attention-based multi-DNN Manager for Throughput & Power Co-optimization on Embedded Devices. A. Karatzas, I. Anagnostopoulos. IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2024.
  • Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. K. Balaskas, A. Karatzas, C. Sad, K. Siozios, I. Anagnostopoulos, G. Zervakis, J. Henkel. IEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2023.

Awards:

  • NSF grant: DESC: Type I: Towards Greener AI Computing: Designing and Managing Sustainable Heterogeneous Edge Data Centers
  • College Rising Star Faculty Award in the College of Engineering, Computing, Technology and Mathematics, 2024.
  • Outstanding Teacher of the year in the Department of Electrical & Computer Engineering, 2024.
  • Best Paper Award for "Automated Energy-Efficient DNN Compression under FineGrain Accuracy Constraints" at Design, Automation, and Test in Europe Conference (DATE),
    2023.
  • Outstanding Teacher of the year in the Department of Electrical & Computer Engineering, 2018.