About EDGE | EDGE Research Centre

Labs

EDGE has several labs in which we explore interdisciplinary projects that address broader challenges at the intersection of edge computing, AI, IoT, and sustainability. The EDGE Center for networked systems and intelligence is using these labs to get practical insight in the technology of the EDGE centre, while considering environmental impact and security, making it a valuable hub for cutting-edge research and innovation.

Sustainability Lab - Promoting environmentally responsible practices in ICT, edge computing and IoT to minimize ecological impact and foster sustainable technological growth.
- Green Edge Computing: Researching energy-efficient edge computing architectures and algorithms to reduce carbon footprint.
- IoT for Environmental Monitoring: Using IoT sensors and data analytics for environmental monitoring, such as air quality and water quality assessments.
- Circular Economy: Exploring sustainable practices in electronics manufacturing, including recycling and reuse of components.
IoT security Lab - Ensuring the security and privacy of IoT ecosystems through research, development, and testing of robust cybersecurity solutions.
- Cybersecurity for IoT Devices: Analyzing and enhancing the security of Internet of Things (IoT) devices and protocols to protect against cyberattacks.
- Secure Communication: Developing secure communication protocols and encryption techniques for IoT networks and edge computing environments.
- IoT Threat Detection: Building intrusion detection systems and anomaly detection algorithms to identify malicious activities within IoT ecosystems.
- Security Testing: Conducting penetration testing and vulnerability assessments of IoT devices and networks.
Embedded AI Lab - Advancing edge computing by developing hardware and algorithms that enable efficient and intelligent processing on resource-constrained devices.
- AI Hardware Development: Designing and optimizing hardware accelerators for edge devices to improve AI model inference speed and efficiency.
- Embedded AI Applications: Developing AI-powered applications for embedded systems, such as smart cameras, drones, and robotics.
- Edge AI Algorithms: Researching and implementing machine learning and deep learning algorithms tailored for resource-constrained edge devices.
- Low-Power AI: Exploring energy-efficient AI techniques for edge devices to prolong battery life and reduce power consumption.

Teams

Projects

Calendar

2023, September 6th: EDGE internal kick-off
2025, April 7th: Exploring Tomorrow's Connected World

Reading Room

EDGE Publications
Publications since 2022
Towards integrating process mining with agent-based modeling and simulation: State of the art and outlook (2025). Expert systems with applications, 281. Article 127571. Bemthuis, R. H. & Lazarova-Molnar, S.
Applications of neural networks for FMCW automotive radars: Techniques for improving detection and DoA estimation (2025). [Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Lima de Oliveira, M. L.
WIFI empowerment: Towards Flexible, Adaptable and Reliable QoS in IoT Networks (2025). [Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Zia, K.
Web Crawl Refusals: Insights From Common Crawl (2025). In Passive and Active Measurement: 26th International Conference, PAM 2025, Virtual Event, March 10–12, 2025, Proceedings (pp. 197–214) (Lecture Notes in Computer Science; Vol. 15567). Springer. Ansar, M., Sperotto, A. & Holz, R.
Chronos: Compensating Hardware Related Overheads with Native Multi Timer Support for Real-Time Operating Systems (2025). [Working paper › Preprint]. ArXiv.org. Heider, K., Hakert, C., Chen, K.-H. & Chen, J.-J.
Waves of well-being: An exploration of remote health monitoring across species using FMCW radar (2025). [Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Sadeghi, E.
Towards Resilient Construction Logistics with Digital Twins (2025). In Enterprise Design, Operations, and Computing. EDOC 2024 Workshops: iRESEARCH, MIDas4CS, Doctoral Consortium, Joint CBI–EDOC Forum and Other Joint CBI-EDOC Events, Vienna, Austria, September 10–13, 2024, Revised Selected Papers (pp. 327-334). Springer. Massah, F.
Investigating Approximate Computing to design an energy-efficient deep learning architecture for anomaly detection from ECG signals (2025). [Contribution to conference › Abstract] for 10th Dutch Biomedical Engineering Conference, BME 2025. Capitani, D., Gillani, G. & John, A.
Evaluating the Impact of Racetrack Memory Misalignment Faults on BNNs Performance (2025). In Embedded Computer Systems: Architectures, Modeling, and Simulation (pp. 230-245) (Lecture Notes in Computer Science; Vol. 15226). Springer. Bereholschi, L. D., Yayla, M., Chen, J.-J., Chen, K.-H. & Khan, A. A.
Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems - Part 2 (2025). ACM Transactions on Cyber-Physical Systems, 9(1). Article 7. Chen, K.-H., Li, J., Reghenzani, F. & Chen, J.-J.
Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators (2025). [Working paper › Preprint]. ArXiv.org. Meijer, R., Detterer, P., Yousefzadeh, A., Patino-Saucedo, A., Tang, G., Vadivel, K., Xu, Y., Gomony, M.-D., Corradi, F., Linares-Barranco, B. & Sifalakis, M.
Resilient Endurance-Aware NVM-based PUF against Learning-based Attacks (2025). [Working paper › Preprint]. ArXiv.org. Nassar, H., Wei, M.-L., Yang, C.-L., Henkel, J. & Chen, K.-H.
Collaboratively Increasing the DDoSResilience of Digital Societies Through Anti-DDoS Coalitions (2025). IEEE communications magazine, 63(1), 168-174. Yazdani, R., van den Hout, T., Poortinga - van Wijnen, R., Lovink, K. & Hesselman, C. E. W.
Data preprocessing methods for selective sweep detection using convolutional neural networks (2025). Methods, 233, 19-29. Zhao, H. & Alachiotis, N.
Process Mining for Demographic Insights: A Subpopulation Analysis in Healthcare Pathways (2025). In Proceedings of the 27th International Conference on Enterprise Information Systems (pp. 267-277). SCITEPRESS. Naguine, P., Arachchige, J. J., Bemthuis, R. H. & Bukhsh, F. A.
A First Look at User-Installed Residential Proxies From a Network Operator's Perspective (2024). In 20th International Conference on Network and Service Management (CNSM). Khan, E., Chiapponi, E., Verkleij, M., Sperotto, A., van Rijswijk - Deij, R. M. & van der Ham, J.
Is a Name Enough? A First Look into Detecting Clouds Using DNS Pointer Records (2024). In 2024 20th International Conference on Network and Service Management (CNSM) (pp. 1-5). Article 10814277. IEEE Advancing Technology for Humanity. Tarahomi, S., Sommese, R., de Boer, P.-T., Linssen, J., Holz, R. & Sperotto, A.
MS4PAN: Measurement System for Path-Aware Networks (2024). In 2024 IEEE 13th International Conference on Cloud Networking, CloudNet 2024. IEEE. Boldrini, L., Battipaglia, A., Hesselman, C. & Grosso, P.
iMoT: Inertial Motion Transformer for Inertial Navigation (2024). [Working paper › Preprint]. ArXiv.org. Nguyen, S. M., Tran, L. D., Le, D. V. & Havinga, P. J. M.
Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-based Indoor Localization (2024). [Working paper › Preprint]. ArXiv.org. Nguyen, S. M., Tran, L. D., Le, D. V. & Havinga, P. J. M.
A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus (2024). Remote sensing, 16(23). Article 4611. Amin, A., Kamilaris, A. & Karatsiolis, S.
Characterizing and Mitigating Phishing Attacks at ccTLD Scale (2024). In CCS 2024 - Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security (pp. 2147-2161) (CCS 2024 - Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security). Association for Computing Machinery. Moura, G. C. M., Daniels, T., Bosteels, M., Castro, S., Müller, M., Wabeke, T., van den Hout, T., Korczynski, M. & Smaragdakis, G.
SPECTRUM: Towards Self-aware Industrial IoT Systems (2024). [Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Anbalagan, S. N.
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction (2024). IEEE Transactions on Circuits and Systems for Artificial Intelligence, 1(2), 128-140. Article 10744412. Dobrita, A., Yousefzadeh, A., Thorpe, S., Vadivel, K., Detterer, P., Tang, G., Schaik, G.-J. v., Konijnenburg, M., Gebregiorgis, A., Hamdioui, S. & Sifalakis, M.
Proactively defending against DDoS attacks: Focusing on DNS reflection and amplification (2024). [Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Yazdani, R.
Proposal of Open Source Software Security Risk Indicator Based on Vulnerability Management Interview (2024). Journal of Information Processing, 32, 1090-1104. Kuzuno, H., Yano, T., Omo, K., van der Ham, J. & Yamauchi, T.
Sanctions and infrastructural ideologies: Assessing the material shaping of EU digital sovereignty in response to the war in Ukraine (2024). Policy & internet, 16(4), 692-710. ten Oever, N., Perarnaud, C., Kristoff, J., Müller, M., Resing, M., Filasto, A. & Kanich, C.
Using body sensors for evaluating the impact of smart cycling technologies on cycling experiences: a systematic literature review and conceptual framework (2024). European transport research review, 16. Article 13. Boot, M., Ulak, M. B., Geurs, K. T. & Havinga, P. J. M.
Data-Driven Positioning of Drone Base Stations in Emergency Scenarios (2024). In 2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings (IEEE Vehicular Technology Conference). IEEE. Pijnappel, T. R., van den Berg, H., Borst, S. C. & Litjens, R.
Smart Connected Bicycles: User Acceptance and Experience, Willingness to Pay and Road Safety Implications (2024). [Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Kapousizis, G.
An Enhanced Fault Injection Framework for FPGA-Based Soft-Cores (2024). In 2024 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT). Article 10753564. IEEE. Smit, T. T., Forlin, B. E., Chen, K.-H., Souvatzoglou, I., Psarakis, M. & Ottavi, M.
Expertise hubs and the credibility challenge for open-source intelligence: insights from usage patterns of a web-controlled radio receiver and related Twitter traffic in the Ukraine war (2024). European Security (E-pub ahead of print/First online). van Harten, A., Donnelly, S., de Boer, P. T. & van Rijswijk-Deij, R.
Energy-efficient SNN Architecture using 3nm FinFET Multiport SRAM-based CIM with Online Learning (2024). In Proceedings of the 61st ACM/IEEE Design Automation Conference, DAC 2024 (pp. 1-6). Article 260 (Proceedings - Design Automation Conference). IEEE. Huijbregts, L., Liu, H. H., Detterer, P., Hamdioui, S., Yousefzadeh, A. & Bishnoi, R.
Invited: Neuromorphic Vision Modalities in the NimbleAI 3D Chip (2024). In Proceedings of the 61st ACM/IEEE Design Automation Conference, DAC 2024 (pp. 1-4). Article 358 (Proceedings - Design Automation Conference). IEEE. Iturbe, X., Linares-Barranco, B., Ieng, S. H., Erdmann, A., Peres, L., Rhodes, O., Tornero, R., Sifalakis, M., Van De Burgwal, M., Yousefzadeh, A., Kooli, M., Alidori, R. & Zaykov, P.
DarkDNS: Revisiting the Value of Rapid Zone Update (2024). In IMC 2024 - Proceedings of the 2024 ACM Internet Measurement Conference (pp. 454-461) (Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC; Vol. 2024). Association for Computing Machinery (ACM). Sommese, R., Akiwate, G., Affinito, A., Muller, M., Jonker, M. & Claffy, K. C.
Optimizing PointNet++ and DBSCAN for Object Detection in Automotive Radar Point Clouds (2024). In 2024 21st European Radar Conference, EuRAD 2024 (pp. 39-42). IEEE. Fatseas, K., Bekooij, M. J. G. & Sanberg, W. P.
The Age of DDoScovery: An Empirical Comparison of Industry and Academic DDoS Assessments (2024). In IMC 2024 - Proceedings of the 2024 ACM Internet Measurement Conference (pp. 259-279) (Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC). Association for Computing Machinery (ACM). Hiesgen, R., Nawrocki, M., Barcellos, M., Kopp, D., Hohlfeld, O., Chan, E., Dobbins, R., Doerr, C., Rossow, C., Thomas, D. R., Jonker, M., Mok, R., Luo, X., Kristoff, J., Schmidt, T. C., Wählisch, M. & Claffy, K.
The Wisdom of the Measurement Crowd: Building the Internet Yellow Pages a Knowledge Graph for the Internet (2024). In IMC 2024 - Proceedings of the 2024 ACM Internet Measurement Conference (pp. 183-198) (Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC; Vol. 2024). Association for Computing Machinery (ACM). Fontugne, R., Tashiro, M., Sommese, R., Jonker, M., Bischof, Z. S. & Aben, E.
Divertor Tokamak Test facility project: status of design and implementation (2024). Nuclear Fusion, 64(11). Article 112015. Romanelli, F., Abate, D., Acampora, E., Agguiaro, D., Agnello, R., Agostinetti, P., Agostini, M., Aimetta, A., Albanese, R., Alberti, G., Albino, M., Alessi, E., Almaviva, S., Alonzo, M., Ambrosino, R., Andreoli, P., Angelone, M., Angelucci, M., Angioni, C., … Wu, H. S.
Multidie 3-D Stacking of Memory Dominated Neuromorphic Architectures (2024). IEEE transactions on very large scale integration (VLSI) systems, 32(11), 2144-2148. Giacomini Rocha, L. M., Bilgic, R., Naeim, M., Das, S., Oprins, H., Yousefzadeh, A., Konijnenburg, M., Milojevic, D., Myers, J., Ryckaert, J. & Biswas, D.
Tracer: A Tool for Race Detection in Software Defined Network Models (2024). [Working paper › Preprint]. ArXiv.org. Caltais, G., Zangiabady, M. & Zvirbulis, E.
Ophouden met wachtwoordverplichtingen (2024). AG Connect . van der Ham, J.
Optimizing QoS in Wireless IoT Networks: A Cross-Layer based Experimental Study (2024). In IEEE CAMAD 2024 (Accepted/In press). Zia, K., Chiumento, A. & Havinga, P. J. M.
Analyzing Per-Application Energy Consumption in a Multi-Application Computing Continuum (2024). In 2024 9th International Conference on Fog and Mobile Edge Computing, FMEC 2024 (pp. 30-37). IEEE. Baneshi, S., Pathania, A., Akesson, B., Pimentel, A. & Varbanescu, A. L.
Exploring the Versal AI Engines for Signal Processing in Radio Astronomy (2024). In 2024 34th International Conference on Field-Programmable Logic and Applications, FPL 2024. IEEE. Van Wijhe, V., Sprave, V., Passaretti, D., Alachiotis, N., Grutzeck, G., Pionteck, T. & Van Der Vlugt, S.
Boxing Gesture Recognition in Real-Time using Earable IMUs (2024). In UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 673-678). Association for Computing Machinery. Sepanosian, T. & Durmaz Incel, O.
M-MOVE-IT: Multimodal Machine Observation and Video-Enhanced Integration Tool for Data Annotation (2024). In UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 911-915). Association for Computing Machinery. Kamminga, J., van der Duim, R. & ten Hove, E.
Training Smarter with OpenEarable: A Boxing Gesture Recognition Dashboard Integration (2024). In UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 921-924). Association for Computing Machinery. Sepanosian, T. & Durmaz Incel, O.
Method for detecting fluid parameters using a flow sensor configuration (2024). [Patent › Patent]. Alveringh, D., Le, D. V., Groenesteijn, J. & Lötters, J. C.
LESS-ON: Load-aware edge server shutdown for energy saving in cellular networks (2024). Computer networks, 252. Article 110675. Gómez, B., Bayhan, S., Coronado, E., Villalon, J. & Garrido, A.
Victimization in DDoS Attacks: The Role of Popularity and Industry Sector (2024). Computers & Security (E-pub ahead of print/First online). Haq, M. Y. M., Affinito, A., Botta, A., Sperotto, A., Nieuwenhuis, L. J. M., Jonker, M. & Abhishta, A.
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification (2024). In Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024 (pp. 3971-3980) (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). IEEE. Hogeweg, L. E., Gangireddy, R., Brunink, D., Kalkman, V. J., Cornelissen, L. & Kamminga, J. W.
5G security: Are we forgetting someone? (2024). [Contribution to conference › Poster] for EEMCS networking day 2024 (Unpublished). Simonetto, S.
Effect of an antidepressant on aquatic ecosystems in the presence of microplastics: A mesocosm study (2024). Environmental Pollution, 357. Article 124439. Raman, N. V., Gebreyohanes Belay, B. M., South, J., Botha, T. L., Pegg, J., Khosa, D., Mofu, L., Walsh, G., Jordaan, M. S., Koelmans, A. A., Teurlincx, S., Helmsing, N. R., de Jong, N., van Donk, E., Lürling, M., Wepener, V., Fernandes, T. V. & de Senerpont Domis, L. N.
Introduction to Special Issue on In/Near Memory and Storage Computing for Embedded Systems (2024). ACM transactions on embedded computing systems, 23(6), 1-3. Article 85. Shi, L., Hu, J., Amrouch, H., Chen, K. H., Zhao, M. & Liu, W.
Eliminating Timing Anomalies in Scheduling Periodic Segmented Self-Suspending Tasks with Release Jitter (2024). [Working paper › Preprint]. ArXiv.org. Lin, C.-C., Günzel, M., Shi, J., Seidl, T. T., Chen, K.-H. & Chen, J.-J.
Scalable CNN-based classification of selective sweeps using derived allele frequencies (2024). Bioinformatics, 40(suppl. 2), ii29-ii36. van den Belt, S., Zhao, H. & Alachiotis, N.
TaxaNet: Harnessing a Hierarchical Loss Function for Insect Classification Using Deep Learning (2024). In Workshop on Camera Traps, AI, and Ecology 2024 (pp. 46-56) (CEUR workshop proceedings; Vol. 3786). CEUR. Padubidri, C., Visserman, H., Lanitis, A. & Kamilaris, A.
Tracer: A Tool for Race Detection in Software Defined Network Models (2024). [Contribution to conference › Paper] for 26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2024. Caltais, G., Zangiabady, M. & Zvirbulis, E.
Analysis of DNS Dependencies and their Security Implications in Australia: A Comparative Study of General and Indigenous Populations (2024). [Working paper › Preprint]. ArXiv.org. Nazemi, N., Tavallaie, O., Mandalari, A. M., Haddadi, H., Holz, R. & Zomaya, A. Y.
Are You Sure You Want To Do Coordinated Vulnerability Disclosure? (2024). [Contribution to conference › Paper] for 9th International Workshop on Traffic Measurements for Cybersecurity, WTMC 2024. Chen, T.-H., Tagliaro, C., Lindorfer, M., Borgolte, K. & van der Ham, J.
Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks (2024). [Working paper › Preprint]. ArXiv.org. Koopman, R., Yousefzadeh, A., Shahsavari, M., Tang, G. & Sifalakis, M.
This Is a Local Domain: On Amassing Country-Code Top-Level Domains from Public Data (2024). Computer communication review, 54(2), 2-9. Sommese, R., Van Rijswijk-Deij, R. & Jonker, M.
Distillation vs. Sampling for Efficient Training of Learning to Rank Models (2024). In ICTIR 2024 - Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval (pp. 51-60). Association for Computing Machinery. Khandel, P., Yates, A., Varbanescu, A. L., De Rijke, M. & Pimentel, A.
Neutron Beam Evaluation of Probabilistic Data Structure-based Online Checkers (2024). In 2024 IEEE 30th International Symposium on On-line Testing and Robust System Design, IOLTS 2024. IEEE. Forlin, B., Annink, E. B., Cishugi, E., Cazzaniga, C., Rech, P., Rauwerda, G., Furano, G. & Ottavi, M.
RayPet: Unveiling Challenges and Solutions for Activity and Posture Recognition in Pets Using FMCW Mm-Wave Radar (2024). In Proceedings of 9th International Congress on Information and Communication Technology: ICICT 2024 (pp. 303-318) (Lecture Notes in Networks and Systems; Vol. 1000). Springer. Sadeghi, E., Raalte, A. v., Chiumento, A. & Havinga, P.
Towards the Online Reconfiguration of a Dependable Distributed On-Board Computer (2024). In Architecture of Computing Systems - 37th International Conference, ARCS 2024, Proceedings (pp. 127-141) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14842 LNCS). Springer. te Hofsté, G., Lund, A., Ottavi, M. & Lüdtke, D.
Comprehensive threat analysis and systematic mapping of CVEs to MITRE framework (2024). In 1st International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security. Simonetto, S. & Bosch, P.
Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification (2024). [Working paper › Preprint]. ArXiv.org. Xu, Y., Tang, G., Yousefzadeh, A., de Croon, G. C. H. E. & Sifalakis, M.
Introduction to the Special Issue on Fault-Resilient Cyber-Physical Systems – Part I (2024). ACM Transactions on Cyber-Physical Systems, 8(3). Article 29. Chen, K.-H., Li, J., Reghenzani, F. & Chen, J.-J.
An Empirical Characterization of Anycast Convergence Time (2024). In ANRW 2024 - Proceedings of the 2024 Applied Networking Research Workshop (pp. 23-30). Association for Computing Machinery. Degen, B., Jonker, M., van Rijswijk-Deij, R. & Sommese, R.
Assessing the security of Internet paths: A case study of Dutch critical infrastructures (2024). In ANRW 2024 - Proceedings of the 2024 Applied Networking Research Workshop (pp. 67-73). Association for Computing Machinery. Khadka, S. K., Bayhan, S., Holz, R. & Hesselman, C. E. W.
E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light (2024). In Mobile and Ubiquitous Systems: Computing, Networking and Services - 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14-17, 2023. Proceedings, Part I (pp. 201-220) (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 593). Springer. Ben Fredj, K., Pallamreddy, A. R., Heijenk, G., Havinga, P. & Huang, Y.
E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light (2024). In Mobile and Ubiquitous Systems: Computing, Networking and Services - 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14-17, 2023. Proceedings, Part I (pp. 201-220) (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; Vol. 593). Springer. Ben Fredj, K., Pallamreddy, A. R., Heijenk, G., Havinga, P. & Huang, Y.
Design and Experimental Investigation of Trikarenos: A Fault-Tolerant 28nm RISC-V-based SoC (2024). [Working paper › Preprint]. ArXiv.org. Rogenmoser, M., Wiese, P., Forlin, B. E., Gürkaynak, F. K., Rech, P., Menicucci, A., Ottavi, M. & Benini, L.
Rethinking Safety and Security of the Energy System for a Green Future (2024). [Contribution to conference › Abstract] for International Workshop on Safety-Security Interaction, Sensei 2024. van Rijswijk - Deij, R. M., Hoogsteen, G. & Hurink, J. L.
Sky$^ε$-Tree: Embracing the Batch Updates of B$^ε$-trees through Access Port Parallelism on Skyrmion Racetrack Memory (2024). [Working paper › Preprint]. ArXiv.org. Tsai, Y.-S., Chen, S.-H., Noorlander, M. & Chen, K.-H.
Poster: Empirical Cybersecurity Investment Decision-Making: Bridging the Gap Between Intuition and Metric-Driven Strategy (2024). [Contribution to conference › Poster] for 8th European Symposium on Security and Privacy, Euro S&P 2024. Niyonsaba, N. L., Abhishta, A., van der Ham, J. & Spierdijk, L.
Co-optimized training of models with synaptic delays for digital neuromorphic accelerators (2024). In ISCAS 2024 - IEEE International Symposium on Circuits and Systems (Proceedings - IEEE International Symposium on Circuits and Systems). IEEE. Patiño-Saucedo, A., Meijer, R., Detteter, P., Yousefzadeh, A., Garrido-Regife, L., Linares-Barranco, B. & Sifalakis, M.
ERAFL: Efficient Resource Allocation for Federated Learning Training in Smart Homes (2024). In NOMS 2024-2024 IEEE Network Operations and Management Symposium. IEEE. Rezaei, T., Bayhan, S., Continella, A. & Van Rijswijk-Deij, R.
Exploring the Benefit of Path Plausibility Algorithms in BGP (2024). In Proceedings of the 2024 Network Operations and Management Symposium (NOMS 2024). IFIP. Rodday, N. M., Dreo Rodosek, G., Pras, A. & van Rijswijk - Deij, R. M.
Revisiting Edge AI: Opportunities and Challenges (2024). IEEE internet computing, 28(4), 49-59. Meuser, T., Lovén, L., Bhuyan, M., Patil, S. G., Dusdar, S., Aral, A., Bayhan, S., Becker, C., de Lara, E., Ding, A. Y., Edinger, J., Gross, J., Mohan, N., Pimentel, A., Riviere, E., Schulzrinne, H., Simoens, P., Solmaz, G. & Welzl, M.
Eon-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction (2024). [Working paper › Preprint]. ArXiv.org. Dobrita, A., Yousefzadeh, A., Thorpe, S., Vadivel, K., Detterer, P., Tang, G., van Schaik, G.-J., Konijnenburg, M., Gebregiorgis, A., Hamdioui, S. & Sifalakis, M.
Trip: Trainable Region-of-Interest Prediction for Hardware-Efficient Neuromorphic Processing on Event-based Vision (2024). [Working paper › Preprint]. ArXiv.org. Arjmand, C., Xu, Y., Shidqi, K., Dobrita, A. F., Vadivel, K., Detterer, P., Sifalakis, M., Yousefzadeh, A. & Tang, G.
Language-Based Deployment Optimization for Random Forests (Invited Paper) (2024). In LCTES '24: 25th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems, Copenhagen, Denmark, 24 June 2024 (pp. 58-61). ACM Publishing. Malcher, J., Biebert, D., Chen, K.-H., Buschjäger, S., Hakert, C. & Chen, J.-J.
Serial BGP Hijackers: A Reproducibility Study and Assessment of Current Dynamics (2024). In TMA 2024 - Proceedings of the 8th Network Traffic Measurement and Analysis Conference. IEEE. Jaw, E., Müller, M., Hesselman, C. & Nieuwenhuis, L.
WetLinks: A Large-Scale Longitudinal Starlink Dataset with Contiguous Weather Data (2024). In TMA 2024 - Proceedings of the 8th Network Traffic Measurement and Analysis Conference (TMA 2024 - Proceedings of the 8th Network Traffic Measurement and Analysis Conference). IEEE. Laniewski, D., Lanfer, E., Meijerink, B., Van Rijswijk-Deij, R. & Aschenbruck, N.
Accelerated Spiking Convolutional Neural Networks for Scalable Population Genomics (2024). In Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, HEART 2024 (pp. 53-62). Association for Computing Machinery. Corradi, F., Shen, Z., Zhao, H. & Alachiotis, N.
TREE: Tree Regularization for Efficient Execution (2024). [Working paper › Preprint]. ArXiv.org. Schmid, L., Biebert, D., Hakert, C., Chen, K.-H., Lang, M., Pauly, M. & Chen, J.-J.
Lightweight Instrumentation for Accurate Performance Monitoring in RTOSes (2024). In 2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 - Proceedings (Proceedings -Design, Automation and Test in Europe, DATE). IEEE. Forlin, B., Chen, K. H., Alachiotis, N., Cassano, L. & Ottavi, M.
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Benchmarking feature selection algorithms for optimal classification and dataset comprehension: a biomechanical application (2022). Computer methods in biomechanics and biomedical engineering, 25(Suppl. 1), S245-S247. Parmentier, J. I. M., Serra Bragança, F. M. & van der Zwaag, B. J.
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