About me

2026

• Award
  08/2026   Honored to receive the Outstanding TPC Member Award at DAC 2026!

  
• Journal
  07/2026   ToolAssist: An Edge-First Function Calling Framework for Large Language Models with Adaptive Cloud Collaboration accepted at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (ESWEEK Special Issue).
• Appointment
  07/2026   Appointed as Associate Editor for IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).
• Appointment
  06/2026   Appointed as Associate Editor for IEEE Transactions on Mobile Computing (TMC).
• Appointment
  05/2025   Elected as Chair of the SIU Graduate Council.
• Promotion
  05/2026   Promoted to the rank of Professor! I would like to thank my family and colleagues for their help and support.

2025

• Journal
  08/2025   Our paper Ecomap: Sustainability-Driven Optimization of Multi-Tenant DNN Execution on Edge Servers is accepted at IEEE Transactions on Computers.
• Appointment
  08/2025   Reappointed as a Faculty Fellow in SIU's Office of the Vice Chancellor for Research, supporting the development of large, collaborative grant proposals.
• Conference
  05/2025   Two papers accepted at ISVLSI 2025: Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability and A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers.
• Conference
  04/2025   Attending DATE 2025! Reconnecting with friends and colleagues from around the world and presenting three papers, one of which was nominated for Best Paper.

  
• Conference
  01/2025   Two papers accepted at ISCAS 2025: Approximate Multiplier Mapping for Unfairness Mitigation in Energy-Efficient DNNs and Leveraging Image Difficulty for Run-Time Adaptive DNN Inference on Embedded Devices.

2024

• Award
  11/2024   Two papers accepted at DATE 2025: RankMap: Priority-Aware Multi-DNN Manager for Heterogeneous Embedded Devices, a Best Paper Award Candidate, and Less is More: Optimizing Function Calling for LLM Execution on Edge Devices.
• Conference
  07/2024   MapFormer: Attention-based multi-DNN Manager for Throughput & Power Co-optimization on Embedded Devices accepted at ICCAD 2024, a premier conference in electronic design automation and computer-aided design.
• Appointment
  07/2024   Selected to serve as a Faculty Fellow in SIU's Office of the Vice Chancellor for Research, supporting the development of large, collaborative grant proposals.
• Conference
  06/2024   Carbon-Aware Design of DNN Accelerators: Bridging Performance and Sustainability accepted at IEEE ISVLSI.
• Journal
  05/2024   Balancing Throughput and Fair Execution of Multi-DNN Workloads on Heterogeneous Embedded Devices accepted at IEEE Transactions on Emerging Topics in Computing.
• Journal
  05/2024   Pythia: An Edge First Agent for State Prediction in High-Dimensional Environments accepted at IEEE Embedded Systems Letters.
• Award
  04/2024   Honored to receive the College Rising Star Faculty Award and Outstanding Teacher of the Year Award for 2024!

2023

• Journal
  12/2023   Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization accepted at IEEE Transactions on Emerging Topics in Computing.
• Grant
  09/2023   Our proposal DESC: Type I: Towards Greener AI Computing: Designing and Managing Sustainable Heterogeneous Edge Data Centers was funded by NSF!
• Award
  04/2023   Our paper Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints received the Best Paper Award at DATE 2023.

  
• Conference
  02/2023   OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload accepted at IEEE/ACM Design Automation Conference 2023 (DAC).
Earlier news (2017–2022)
2022
• Award
  11/2022   Automated Energy-Efficient DNN Compression under Fine-Grain Accuracy Constraints accepted at DATE 2023 and selected for a Best Paper Award.
• Grant
  08/2022   Our proposal Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure selected for funding by NSF!
• Journal
  07/2022   Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration accepted at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (ESWEEK Special Issue).
• Journal
  05/2022   Targeting DNN Inference via Efficient Utilization of Heterogeneous Precision DNN Accelerators accepted at IEEE Transactions on Emerging Topics in Computing.
• Journal
  03/2022   A Pressure-Aware Policy for Contention Minimization on Multi-core Systems accepted at ACM Transactions on Architecture and Code Optimization.
• Journal
  01/2022   Thermal-Aware Design for Approximate DNN Accelerators accepted at IEEE Transactions on Computers.
• Conference
  01/2022   Fair Scheduling Through Collaborative Filtering on Multicore Systems accepted at the IEEE International Symposium on Circuits and Systems 2022 (ISCAS).
2021
• Journal
  10/2021   Energy Efficient Edge Computing Enabled by Satisfaction Games and Approximate Computing accepted at IEEE Transactions on Green Communications and Networking.
• Conference
  07/2021   Positive/Negative Approximate Multipliers for DNN Accelerators accepted at the IEEE/ACM International Conference on Computer-Aided Design (ICCAD).
• Promotion
  05/2021   I received tenure and promotion to the rank of Associate Professor! I would like to thank my family and colleagues for their help and support.
2020
• Journal
  12/2020   Efficient Deployment of Spiking Neural Networks on SpiNNaker Neuromorphic Platform accepted at IEEE Transactions on Circuits and Systems.
• Journal
  12/2020   Online Frequency-based Performance and Power Estimation for Clustered Multi-Processor Systems accepted at the Springer Computers and Electrical Engineering Journal.
• Conference
  11/2020   Two papers accepted at DATE 2021: Reliability-Aware Quantization for Anti-Aging NPUs, a collaboration with Karlsruhe Institute of Technology and the University of Stuttgart, and Efficient Resource Management of Clustered Multi-Processor Systems Through Formal Property Exploration, a collaboration with Arizona State University.
• Conference
  09/2020   Prognostics and Health Management Data Handling by Critical Tasks on Multi-Core Platforms accepted at the IEEE International Conference on Electronics Circuits and Systems (ICECS).
• Journal
  08/2020   Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators accepted at IEEE Transactions on Circuits and Systems I: Regular Papers.
• Journal
  07/2020   NPU Thermal Management accepted at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (ESWEEK 2020 Special Issue).
• Journal
  05/2020   Edge-First Resource Management for Video-based Applications: A Face Detection Use-case accepted at IEEE Embedded Systems Letters.
• Conference
  05/2020   Inference and Energy Efficient Design of Deep Neural Networks for Embedded Devices accepted at the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2020).
• Service
  05/2020   Invited to serve as a TPC member for ASP-DAC 2020.
• Journal
  03/2020   Impact of NCFET on Neural Network Accelerators accepted at IEEE Access.
• Conference
  02/2020   Control Variate Approximation for DNN Accelerators accepted at the IEEE/ACM Design Automation Conference 2021 (DAC).
• Conference
  02/2020   Frequency-based Power Efficiency Improvement of CNNs on Heterogeneous IoT Computing Systems accepted at the IEEE World Forum on the Internet of Things (WF-IoT 2020).
• Conference
  02/2020   Adaptive Approximate Computing on Hardware Accelerators Targeting Internet-of-Things accepted at the IEEE World Forum on the Internet of Things (WF-IoT 2020).
• Conference
  01/2020   Priority-Aware Scheduling Under Shared-Resource Contention on Chip Multicore Processors accepted at the IEEE International Symposium on Circuits and Systems 2021 (ISCAS).
• Conference
  01/2020   ARIAN: A Scalable Method for Adding Arbitrary Numbers on Modern Processors accepted at the IEEE International Symposium on Circuits and Systems 2020 (ISCAS).
• Conference
  01/2020   A Machine Learning Approach for Improving Power Efficiency on Clustered Multi-Processor Systems accepted at the IEEE International Symposium on Circuits and Systems 2020 (ISCAS).
2019
• Service
  11/2019   Invited to serve as a TPC member for DAC 2020.
• Journal
  11/2019   Meeting Power Constraints while Mitigating Contention on Clustered Multi-Processor Systems accepted at IEEE Embedded Systems Letters.
• Journal
  11/2019   Improving GPU Performance with a Power-Aware SM Allocation Methodology accepted at MDPI Electronics.
• Journal
  09/2019   Performance and Fairness Improvement on CMPs Considering Bandwidth and Cache Utilization accepted at IEEE Computer Architecture Letters.
• Journal
  07/2019   Kernel-based Resource Allocation for Improving GPU Throughput while Minimizing the Activity Divergence of SMs accepted at IEEE Transactions on Circuits and Systems I: Regular Papers.
• Journal
  07/2019   Performance and Aging Aware Resource Allocation for Concurrent GPU Applications under Process Variation accepted at IEEE Transactions on Nanotechnology.
• Outreach
  07/2019   Our lab developed and presented hands-on demos for students in the SMASH Illinois program.

  
• Grant
  06/2019   Our proposal Modular and Scalable Infrastructure for the SIUC Campus accepted for funding by the Illinois Environmental Protection Agency through the US Department of Energy.
• Outreach
  04/2019   Our lab presented two demos at SIU Open Day 2019. Many thanks to my students Ioannis Galanis, Shivam Kundan, and Lincoln Kinley for their help and support.

  
• Award
  04/2019   Honored to receive the Outstanding Teacher Award for 2018 from the Electrical & Computer Engineering department.
• Journal
  03/2019   Environmental-Based Speed Recommendation for Future Smart Cars accepted at Future Internet.
• Conference
  02/2019   Workload-aware Management Targeting Multi-Gateway Internet-of-Things accepted at the IEEE International Conference on Omni-layer Intelligent Systems (COINS).
2018
• Conference
  09/2018   Two papers accepted at the IEEE International Conference on Electronics Circuits and Systems: Optimizing Performance of GPU Applications with SM Activity Divergence Minimization and Drop: Distributed Run-Time and Power Constraint Mapping for Many-Core Systems.
• Outreach
  09/2018   Our demo was one of the most requested activities during SIU Open Day, as reported by the Southern Illinoisan.
• Research
  08/2018   Our lab received a 48-node SpiNNaker board for research on modern neuromorphic platforms.

  
• Conference
  07/2018   Performance-based and Aging-aware Resource Allocation for Concurrent GPU Applications accepted at the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT).
• Journal
  04/2018   A Message-Passing Microcoded Synchronization for Distributed Shared Memory Architectures accepted at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
• Journal
  01/2018   Hierarchical Distributed Run-time Resource Management Scheme for NoC-based Many-Cores accepted at ACM Transactions on Embedded Computing Systems.
• Conference
  01/2018   Two papers accepted at the IEEE International Symposium on Circuits and Systems.
2017
• Conference
  11/2017   Two papers accepted at the IEEE/ACM Conference on Design, Automation and Test in Europe (DATE 2018). Congratulations to all the hard-working students!
• Conference
  02/2017   Our paper accepted at the ACM Great Lakes Symposium on VLSI 2017 (GLSVLSI).
• Conference
  01/2017   Three papers accepted at the IEEE International Symposium on Circuits and Systems. Congratulations to all the hard-working students!