| A survey on approximate edge AI for energy efficient autonomous driving services D Katare, D Perino, J Nurmi, M Warnier, M Janssen, AY Ding IEEE Communications Surveys & Tutorials, 2023 | 47 | 2023 |
| Embedded system enabled vehicle collision detection: an ANN classifier D Katare, M El-Sharkawy 2019 IEEE 9th Annual Computing and Communication Workshop and Conference …, 2019 | 46 | 2019 |
| Bias detection and generalization in AI algorithms on edge for autonomous driving D Katare, N Kourtellis, S Park, D Perino, M Janssen, AY Ding 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), 342-348, 2022 | 13* | 2022 |
| Adaptive approximate computing in edge AI and IoT applications: A review HJ Damsgaard, A Grenier, D Katare, Z Taufique, S Shakibhamedan, ... Journal of Systems Architecture, 103114, 2024 | 10 | 2024 |
| Real-time 3-d segmentation on an autonomous embedded system: using point cloud and camera D Katare, M El-Sharkawy 2019 IEEE National Aerospace and Electronics Conference (NAECON), 356-361, 2019 | 9 | 2019 |
| Autonomous embedded system enabled 3-D object detector:(With point cloud and camera) D Katare, M El-Sharkawy 2019 IEEE International Conference on Vehicular Electronics and Safety …, 2019 | 6 | 2019 |
| Collision warning system: embedded enabled (RTMaps with NXP BLBX2) D Katare, M El-Sharkawy 2018 IEEE International Symposium on Signal Processing and Information …, 2018 | 5 | 2018 |
| IOT based solution for level detection using CNN and OpenCV D Pathak, RN Sarangapani, D Katare, AS Gaikwad, M El-Sharkawy Proceedings on the International Conference on Internet Computing (ICOMP), 83-87, 2018 | 4 | 2018 |
| Energy-efficient edge approximation for connected vehicular services D Katare, AY Ding 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023 | 3 | 2023 |
| Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset D Katare, DS Noguero, S Park, N Kourtellis, M Janssen, AY Ding arXiv preprint arXiv:2401.10397, 2024 | 2 | 2024 |
| ARASEC: Adaptive Resource Allocation and Model Training for Serverless Edge Computing D Katare, E Marin, N Kourtellis, M Janssen, AY Ding IEEE Internet Computing, 2024 | | 2024 |
| Approximation Strategies for Vision Models on Edge Devices: An Accuracy-Efficiency Trade-off D Katare, S Shakibhamedan, N Amirafshar, N Taherinejad, A Jantsch, ... Authorea Preprints, 2024 | | 2024 |
| Poster: Energy-Aware Partitioning for Edge AI D Katare, M Zhou, Y Chen, M Janssen, AY Ding 2024 IEEE/ACM Symposium on Edge Computing (SEC), 526-527, 2024 | | 2024 |
| Test-time Specialization of Dynamic Neural Networks S Leroux, D Katare, AY Ding, P Simoens Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Exploration of Deep Learning Applications on an Autonomous Embedded Platform (Bluebox 2.0) D Katare Purdue University, 2019 | | 2019 |
Aaron Yi DINGSenior Assoc Professor, TU DelftVerified email at tudelft.nl