Dr Jose Cano Reyes

  • Senior Lecturer (Computing Science)

telephone: +44 (0)141 330 1640
email: Jose.CanoReyes@glasgow.ac.uk
pronouns: He/him/his

Room S154, School of Computing Science, Sir Alwyn Williams Building, 18 Lilybank Gardens, Glasgow G12 8RZ

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-2243-389X

Biography

I am a Senior Lecturer (Associate Professor) in the School of Computing Science where I lead the Glasgow Intelligent Computing Laboratory (gicLAB), and I am the deputy lead of the GLAsgow Systems Section (GLASS). I am also a visiting member of ICSA in the School of Informatics at The University of Edinburgh.

Currently, I'm Principal Investigator at University of Glasgow on the EU project dAIEDGE and Co-Investigator on the UKRI "Digital Security by Design" projects AppControl and Morello-HAT. I was Principal Investigator (November 2021 - August 2023) on the EPSRC PETRAS project MAISE (Multimodal AI-based Security at the Edge).

Previously, I was a Postdoctoral Research Associate (January 2014 - August 2018) with the CArD Group at the Institute for Computing Systems Architecture in the School of Informatics at The University of Edinburgh. I worked with Michael O'Boyle and Amos Storkey on the H2020 BONSEYES project, and with Vijay Nagarajan on the EPSRC AnyScale Applications project. I joined the ARCO Research Group in the Department of Computer Architecture at Universitat Politecnica de Catalunya - BarcelonaTech in March 2012, when I was a Postdoctoral Researcher until Dec 2013. I received the M.S. and Ph.D. degrees in Computer Science from Universitat Politecnica de Valencia in Sept 2004 and Feb 2012, respectively. I was a member with the Networking Research Group (Sept 2005 - Feb 2012) and also with the Parallel Architectures Group (Dec 2009 - Feb 2012) in the Department of Computing Engineering at Universitat Politecnica de Valencia. I'm a senior member of IEEE and ACM and a member of HiPEAC.

Personal website: http://www.dcs.gla.ac.uk/~josecr/

Research interests

My research interests are in the broad areas of: Computer Architecture, Computer Systems, Compilers, Machine Learning and Security.

 

My current research is focused on:

  • Hardware/Software co-design approaches to efficiently deploy Deep Learning applications on mobile/embedded edge devices (e.g. IoT boards, phones, drones, mobile robots, satellites)
  • Acceleration of Machine Learning training
  • Design, optimisation and evaluation of Networks-on-Chip (NoCs) for emerging processors/accelerators
  • Resilience of Artificial Intelligence and Machine Learning models on IoT-scale devices
  • Digital Security by Design for Mission-Critical Systems-on-Chip

 

Publications

Selected publications

Agostini, N. B., Haris, J., Gibson, P. , Jayaweera, M., Rubin, N., Tumeo, A., Abellán, J. L., Cano Reyes, J. and Kaeli, D. (2024) AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. In: International Symposium on Code Generation and Optimization (CGO) 2024, Edinburgh, United Kingdom, 02-06 Mar 2024, pp. 143-157. ISBN 9798350395099 (doi: 10.1109/CGO57630.2024.10444801)

Haris, J., Gibson, P., Cano, J. , Bohm Agostini, N. and Kaeli, D. (2023) SECDA-TFLite: a toolkit for efficient development of FPGA-based DNN accelerators for edge inference. Journal of Parallel and Distributed Computing, 173, pp. 140-151. (doi: 10.1016/j.jpdc.2022.11.005)

Gibson, P. and Cano, J. (2022) Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation. In: 31st International Conference on Parallel Architectures and Compilation Techniques (PACT2022), Chicago, USA, 10-12 October 2022, (Accepted for Publication)

Stjerngren, A., Gibson, P. and Cano, J. (2022) Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators. In: 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Singapore, 22-24 May 2022, pp. 288-299. ISBN 9781665459549 (doi: 10.1109/ISPASS55109.2022.00042)

Dong, S., Sun, Y., Bohm Agostini, N., Karimi, E., Lowell, D., Zhou, J., Cano, J. , Abellán, J. L. and Kaeli, D. (2021) Spartan: a sparsity-adaptive framework to accelerate deep neural network training on GPUs. IEEE Transactions on Parallel and Distributed Systems, 32(10), pp. 2448-2463. (doi: 10.1109/TPDS.2021.3067825)

Lofqvist, M. and Cano, J. (2020) Accelerating Deep Learning Applications in Space. 34th Annual Small Satellite Conference, Virtual Conference, 2020.

All publications

List by: Type | Date

Jump to: 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2007 | 2006 | 2005
Number of items: 64.

2025

Louloudakis, N., Gibson, P., Cano Reyes, J. and Rajan, A. (2025) Exploring Robustness of Image Recognition Models on Hardware Accelerators. In: 2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), Naples, Italy, 31 March 2025 - 04 April 2025, pp. 368-374. ISBN 9798331534677 (doi: 10.1109/ICSTW64639.2025.10962531)

Duato, J. , Mestre, J. I. , Dolz, M. F. , Quintana-Orti, E. S. and Cano Reyes, J. (2025) Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks. 5th Workshop on Machine Learning and Systems (EuroMLSys ’25), Rotterdam, Netherlands, 30 March- 3 April 2025. pp. 39-45. ISBN 9798400715389 (doi: 10.1145/3721146.3721950)

Ferguson, A., Gibson, P. , D'Agata, L., McLeod, P., Yaman, F., Das, A., Colbert, I. and Cano Reyes, J. (2025) Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. 5th Workshop on Machine Learning and Systems (EuroMLSys ’25), Rotterdam, Netherlands, 30 March- 3 April 2025. pp. 39-45. ISBN 9798400715389 (doi: 10.1145/3721146.3721948)

Hu, W., Henderson, P. and Cano, J. (2025) ICE-Pruning: an Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks. In: International Joint Conference on Neural Networks (IJCNN 2025), Rome, Italy, 30 Jun - 05 Jul 2025, (Accepted for Publication)

Louloudakis, N., Gibson, P. , Cano Reyes, J. and Rajan, A. (2025) FetaFix: Automatic Fault Localization and Repair of Deep Learning Model Conversions. In: International Conference on Evaluation and Assessment in Software Engineering (EASE) 2025, Istanbul, Turkey, 17 - 20 June 2025, (Accepted for Publication)

Gibson, P., Cano, J. , Crowley, E., Storkey, A. and O'Boyle, M. (2025) DLAS: A conceptual model for across-stack Deep Learning Acceleration. ACM Transactions on Architecture and Code Optimization, 22(1), pp. 1-28. (doi: 10.1145/3688609)

2024

Hu, W., Henderson, P. and Cano Reyes, J. (2024) DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations. In: NeurIPS 2024 Workshop Machine Learning with new Compute Paradigms, Vancouver, Canada, 14 December 2024,

Jamwal, S., Cano, J. , Lee, G. M., Tran, N. H. and Truong, N. (2024) A survey on Ethereum pseudonymity: Techniques, challenges, and future directions. Journal of Network and Computer Applications, 232, 104019. (doi: 10.1016/j.jnca.2024.104019)

Saha, R. , Haris, J. and Cano, J. (2024) Accelerating PoT Quantization on Edge Devices. In: 31st IEEE International Conference on Electronics, Circuits and Systems, Nancy, France, 18-20 Nov 2024, (Accepted for Publication)

Sharma, V., Pau, D. and Cano, J. (2024) Efficient Tiny Machine Learning for Human Activity Recognition on Low-Power Edge Devices. In: 2024 IEEE 8th International Forum on Research and Technologies for Society and Industry (IEEE RTSI 2024), Lecco, Italy, 18-20 Sep 2024, (Accepted for Publication)

Agostini, N. B., Haris, J., Gibson, P. , Jayaweera, M., Rubin, N., Tumeo, A., Abellán, J. L., Cano Reyes, J. and Kaeli, D. (2024) AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. In: International Symposium on Code Generation and Optimization (CGO) 2024, Edinburgh, United Kingdom, 02-06 Mar 2024, pp. 143-157. ISBN 9798350395099 (doi: 10.1109/CGO57630.2024.10444801)

2023

Louloudakis, N., Gibson, P. , Cano Reyes, J. and Rajan, A. (2023) DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models. In: 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Columbia, 1-6 Oct 2023, ISBN 9798350327830 (doi: 10.1109/ICSME58846.2023.00054)

Louloudakis, N., Gibson, P., Cano, J. and Rajan, A. (2023) Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. In: 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Kirchberg, Luxembourg, 11-15 September 2023, pp. 1795-1799. ISBN 9798350329964 (doi: 10.1109/ASE56229.2023.00147)

Ayaz, F. , Zakariyya, I., Cano Reyes, J. , Keoh, S. L. , Singer, J. , Pau, D. and Kharbouche-Harrari, M. (2023) Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. In: International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Australia, 18-23 June 2023, ISBN 9781665488679 (doi: 10.1109/IJCNN54540.2023.10191429)

Cano, J. , Dikaiakos, M. D., Papadopoulos, G. A., Pericàs, M. and Sakellariou, R. (Eds.) (2023) Euro-Par 2023: Parallel Processing. 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 – September 1, 2023, Proceedings. Series: Lecture notes in computer science. Springer: Cham. ISBN 9783031396977

Hu, W., Gibson, P. and Cano, J. (2023) ICE-Pick: Iterative Cost-Efficient Pruning for DNNs. ICML 2023 Workshop on Neural Compression, Honolulu, Hawaii, USA, 28-29 July 2023.

Haris, J., Gibson, P., Cano, J. , Bohm Agostini, N. and Kaeli, D. (2023) SECDA-TFLite: a toolkit for efficient development of FPGA-based DNN accelerators for edge inference. Journal of Parallel and Distributed Computing, 173, pp. 140-151. (doi: 10.1016/j.jpdc.2022.11.005)

2022

Louloudakis, N., Gibson, P., Cano, J. and Rajan, A. (2022) Assessing Robustness of Image Recognition Models to Changes in the Computational Environment. NeurIPS ML Safety Workshop (MLSW), New Orleans, USA, 28 Nov -9 Dec 2022.

Louloudakis, N., Gibson, P., Cano, J. and Rajan, A. (2022) Exploring Effects of Computational Parameter Changes to Image Recognition Systems. arXiv, (Unpublished)

Gibson, P. and Cano, J. (2022) Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation. In: 31st International Conference on Parallel Architectures and Compilation Techniques (PACT2022), Chicago, USA, 10-12 October 2022, (Accepted for Publication)

Haris, J., Gibson, P., Cano, J. , Agostini, N. B. and Kaeli, D. (2022) Hardware/Software Co-Design of Edge DNN Accelerators with TFLite. 18th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 10-16 July 2022.

Gibson, P. and Cano, J. (2022) Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection. 4th Workshop on Accelerated Machine Learning (AccML), co-located with the HiPEAC conference, Budapest, 22 June 2022.

Stjerngren, A., Gibson, P. and Cano, J. (2022) Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators. In: 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Singapore, 22-24 May 2022, pp. 288-299. ISBN 9781665459549 (doi: 10.1109/ISPASS55109.2022.00042)

Cano, J. and Trinder, P. (Eds.) (2022) Euro-Par 2022: Parallel Processing. 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022, Proceedings. Series: Lecture notes in computing science. Springer: Cham.

2021

Haris, J., Gibson, P. , Cano, J. , Bohm Agostini, N. and Kaeli, D. (2021) SECDA: Efficient Hardware/Software Co-design of FPGA-based DNN Accelerators for Edge Inference. In: 2021 IEEE 33rd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Belo Horizonte, Brazil, 26-28 Oct 2021, pp. 33-43. ISBN 9781665443012 (doi: 10.1109/SBAC-PAD53543.2021.00015)

Dong, S., Sun, Y., Bohm Agostini, N., Karimi, E., Lowell, D., Zhou, J., Cano, J. , Abellán, J. L. and Kaeli, D. (2021) Spartan: a sparsity-adaptive framework to accelerate deep neural network training on GPUs. IEEE Transactions on Parallel and Distributed Systems, 32(10), pp. 2448-2463. (doi: 10.1109/TPDS.2021.3067825)

Lofqvist, M. and Cano, J. (2021) Optimizing Data Processing in Space for Object Detection in Satellite Imagery. 35th Annual Small Satellite Conference, 07-12 Aug 2021.

2020

Gibson, P. and Cano, J. (2020) Orpheus: a New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. In: 2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 23-26 Aug 2020, pp. 229-230. ISBN 9781728147987 (doi: 10.1109/ISPASS48437.2020.00042)

Bohm Agostini, N., Dong, S., Elmira, K., Marti, T. L., Cano, J. , Abellán, J. L. and Kaeli, D. (2020) Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. In: 2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Porto, Portugal, 9-11 Sept. 2020, pp. 10-19. ISBN 9781728199245 (doi: 10.1109/SBAC-PAD49847.2020.00013)

Lofqvist, M. and Cano, J. (2020) Accelerating Deep Learning Applications in Space. 34th Annual Small Satellite Conference, Virtual Conference, 2020.

Gibson, P. , Cano, J. , Turner, J., Crowley, E. J., O’Boyle, M. and Storkey, A. (2020) Evaluating Grouped Spatial Pack Convolutions on Edge CPUs. 16th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Online, 06-17 Jul 2020.

Gibson, P. , Cano, J. , Turner, J., Crowley, E. J., O’Boyle, M. and Storkey, A. (2020) Optimizing Grouped Convolutions on Edge Devices. In: 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP), Manchester, UK, 06-08 Jul 2020, pp. 189-196. ISBN 9781728171470 (doi: 10.1109/ASAP49362.2020.00039)

Haris, J. and Cano, J. (2020) Hardware Acceleration of Deep Neural Networks on Edge Devices with FPGAs. 16th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Online, 06-17 Jul 2020.

2019

Turner, J., Crowley, E. J., Radu, V., Cano, J. , Storkey, A. and O'Boyle, M. (2019) Staircase: Distilling with Performance Enhanced Students for Hardware. ARM Research Summit, Austin, USA, 15-18 Sep 2019.

Turner, J., Crowley, E. J., Radu, V., Cano Reyes, J. , Storkey, A. and O'Boyle, M. (2019) Distilling with performance enhanced students. arXiv, (Unpublished)

Cano, J. , Yang, Y., Bodin, B., Nagarajan, V. and O’Boyle, M. (2019) Automatic Parameter Tuning of Motion Planning Algorithms. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 01-05 Oct 2018, pp. 8103-8109. ISBN 9781538680940 (doi: 10.1109/IROS.2018.8594183)

Radu, V., Kaszyk, K., Wen, Y., Turner, J., Cano, J. , Crowley, E. J., Franke, B., Storkey, A. and O’Boyle, M. (2019) Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. In: 2019 IEEE International Symposium on Workload Characterization (IISWC), Orlando, FL, USA, 03-05 Nov 2019, pp. 24-34. ISBN 9781728140452 (doi: 10.1109/IISWC47752.2019.9042000)

Rovder, S., Cano, J. and O’Boyle, M. (2019) Optimising Convolutional Neural Networks Inference on Low-Powered GPUs. Twelfth International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2019), Valencia, Spain, 21 Jan 2019.

2018

Cano, J. , White, D. R., Bordallo, A., McCreesh, C. , Michala, A. L. , Singer, J. and Nagarajan, V. (2018) Solving the task variant allocation problem in distributed robotics. Autonomous Robots, 42(7), pp. 1477-1495. (doi: 10.1007/s10514-018-9742-5)

Cano, J. , Turner, J., Radu, V. and O'Boyle, M. (2018) Accelerating Deep Convolutional Neural Networks on Low Power Embedded Devices. ARM Research Summit, Cambridge, UK, 17-19 Sep 2018.

Loukadakis, M., Cano, J. and O’Boyle, M. (2018) Accelerating Deep Neural Networks on Low Power Heterogeneous Architectures. Eleventh International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2018), Manchester, UK, 24 Jan 2018.

Turner, J., Cano, J. , Radu, V., Crowley, E. J., O’Boyle, M. and Storkey, A. (2018) Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. In: 2018 IEEE International Symposium on Workload Characterization (IISWC), Raleigh, NC, USA, 30 Sep - 02 Oct 2018, pp. 101-110. ISBN 9781538667804 (doi: 10.1109/IISWC.2018.8573503)

2017

Cano, J. , Kumar, R., Brankovic, A., Pavlou, D., Stavrou, K., Gibert, E., Martinez, A. and Gonzalez, A. (2017) HW/SW Co-designed Processors: Challenges, Design Choices and a Simulation Infrastructure for Evaluation. ARM Research Summit, Cambridge, UK, 11-13 Sep 2017.

Kumar, R., Cano, J. , Pavlou, D., Stavrou, K., Gibert, E., Martinez, A. and González, A. (2017) HW/SW Co-designed Processors: Challenges, Design Choices and a Simulation Infrastructure for Evaluation. In: 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Santa Rosa, CA, USA, 24-25 Apr 2017, pp. 185-194. ISBN 9781538638903 (doi: 10.1109/ISPASS.2017.7975290)

2016

Cano, J. , White, D. R., Bordallo, A., McCreesh, C., Prosser, P. , Singer, J. and Nagarajan, V. (2016) Task Variant Allocation in Distributed Robotics. In: Robotics Science and Systems 2016, Ann Arbor, MI, USA, 18-22 June 2016, ISBN 9780992374723 (doi: 10.15607/RSS.2016.XII.045)

Cano, J. , Bordallo, A., Nagarajan, V., Ramamoorthy, S. and Vijayakumar, S. (2016) Automatic Configuration of ROS Applications for Near-optimal Performance. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 09-14 Oct 2016, pp. 2217-2223. ISBN 9781509037629 (doi: 10.1109/IROS.2016.7759347)

Cano, J. , Kumar, R., Brankovic, A., Pavlou, D., Stavrou, K., Gibert, E., Martínez, A. and González, A. (2016) Quantitative Characterization of the Software Layer of a HW/SW Co-Designed Processor. In: 2016 IEEE International Symposium on Workload Characterization (IISWC), Providence, RI, USA, 25-27 Sep 2016, pp. 138-147. ISBN 9781509038961 (doi: 10.1109/IISWC.2016.7581274)

2015

Cano, J. , Molinos, E., Nagarajan, V. and Vijayakumar, S. (2015) Dynamic Process Migration in Heterogeneous ROS-based Environments. In: 2015 International Conference on Advanced Robotics (ICAR), Istanbul, Turkey, 27-31 Jul 2015, ISBN 9781467375092 (doi: 10.1109/ICAR.2015.7251505)

2014

STMicroelectronics (Grenoble 2) SAS (2014) Switches and a network of switches. .

Cano, J. , Flich, J., Roca, A., Duato, J., Coppola, M. and Locatelli, R. (2014) Efficient routing in heterogeneous SoC designs with small implementation overhead. IEEE Transactions on Computers, 63(3), pp. 557-569. (doi: 10.1109/TC.2012.299)

2013

Villanueva, M. J., T. Calafate, C., Torres, A., Cano, J. , Cano, J.-C. and Manzoni, P. (2013) Seamless MANET autoconfiguration through enhanced 802.11 beaconing. Mobile Information Systems, 9(1), pp. 19-35. (doi: 10.3233/MIS-2012-0145)

2012

Cano Reyes, J. (2012) Bringing Mobile Ad Hoc Networks to the Masses: an Essay on Autoconfiguration and Service Discovery. LAP Lambert Academic Publishing. ISBN 9783848424320

Cano, J. et al. (2012) Modelling HW/SW Co-Designed Processors. 8th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 08-14 Jul 2012.

Yu, Q., Cano, J. , Flich, J. and Ampadu, P. (2012) Transient and Permanent Error Control for High-End Multiprocessor Systems-on-Chip. In: 2012 IEEE/ACM Sixth International Symposium on Networks-on-Chip, Copenhagen, Denmark, 09-11 May 2012, pp. 169-176. ISBN 9781467309738 (doi: 10.1109/NOCS.2012.27)

2011

Cano, J. , Flich, J., Duato, J., Coppola, M. and Locatelli, R. (2011) Efficient Routing Implementation in Complex Systems-on-Chip Designs. In: NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip, Pittsburgh, PA, USA, 01-04 May 2011, pp. 1-8. ISBN 9781450307208 (doi: 10.1145/1999946.1999948)

Dubois, F., Cano, J. , Marcello, C., Flich, J. and Pétrot, F. (2011) Spidergon STNoC Design Flow. In: NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip, Pittsburgh, PA, USA, 01-04 May 2011, pp. 267-268. ISBN 9781450307208 (doi: 10.1145/1999946.1999994)

Cano Reyes, J. , Flich, J., Duato, J., Coppola, M. and Locatelli, R. (2011) Mapping Irregular MPSoC Topologies onto 2D-meshes. 7th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 10-16 Jul 2011.

2010

Cano, J. , Cano, J.-C., Toh, C.-K., Calafate, C. T. and Manzoni, P. (2010) EasyMANET: an extensible and configurable platform for service provisioning in MANET environments. IEEE Communications Magazine, 48(12), pp. 159-167. (doi: 10.1109/MCOM.2010.5673087)

Cano, J. , Cano, J.-C., Calafate, C. T. and Manzoni, P. (2010) Experiences in developing ubiquitous applications. In: Designing Solutions-Based Ubiquitous and Pervasive Computing: New Issues and Trends. Information Science Reference: Hershey, PA, pp. 97-112. ISBN 9781615208432 (doi: 10.4018/978-1-61520-843-2.ch005)

2009

Cano, J.-C., Calafate, C. T., Cano, J. and Manzoni, P. (2009) Deploying pervasive technologies. In: Khosrow-Pour, Mehdi (ed.) Encyclopedia of Information Science and Technology, Second Edition. Information Science Reference: Hershey, PA, pp. 1001-1006. ISBN 9781605660264 (doi: 10.4018/978-1-60566-026-4.ch160)

2007

Cano, J. , Cano, J. C., Calafate, C. T. and Manzoni, P. (2007) Solving the User-to-Host Binding Problem in ad hoc Networks through Photo-IDs. In: PE-WASUN '07 Proceedings of the 4th ACM Workshop on Performance Evaluation of Wireless ad hoc, Sensor, and Ubiquitous Networks, Chania, Greece, 22 Oct 2007, pp. 78-81. ISBN 9781595938084 (doi: 10.1145/1298197.1298212)

2006

Cano Reyes, J. , Burgoa, E., Calafate, C. T., Cano, J.-C. and Manzoni, P. (2006) A MANET Autoconfiguration System based on Bluetooth Technology. In: 2006 3rd International Symposium on Wireless Communication Systems, Valencia, Spain, 06-08 Sep 2006, ISBN 9781424403974 (doi: 10.1109/ISWCS.2006.4362386)

Cano, J. C., Cano, J. , Manzoni, P. and Kim, D. (2006) On the Design of Pervasive Computing Applications Based on Bluetooth and a P2P Concept. In: 2006 1st International Symposium on Wireless Pervasive Computing, Phuket, Thailand, 16-18 Jan 2006, ISBN 9780780394100 (doi: 10.1109/ISWPC.2006.1613599)

2005

Cano, J. , Cano, J. C., Manzoni, P. and Ferrandez, D. (2005) On the Design of Spontaneous Networks Using a P2P Approach and Bluetooth. In: 10th IEEE Symposium on Computers and Communications (ISCC'05), Murcia, Spain, 27-30 Jun 2005, ISBN 9780769523736 (doi: 10.1109/ISCC.2005.110)

This list was generated on Thu Apr 24 23:51:46 2025 BST.
Jump to: Articles | Books | Book Sections | Edited Books | Conference or Workshop Item | Conference Proceedings | Patents
Number of items: 64.

Articles

Gibson, P., Cano, J. , Crowley, E., Storkey, A. and O'Boyle, M. (2025) DLAS: A conceptual model for across-stack Deep Learning Acceleration. ACM Transactions on Architecture and Code Optimization, 22(1), pp. 1-28. (doi: 10.1145/3688609)

Jamwal, S., Cano, J. , Lee, G. M., Tran, N. H. and Truong, N. (2024) A survey on Ethereum pseudonymity: Techniques, challenges, and future directions. Journal of Network and Computer Applications, 232, 104019. (doi: 10.1016/j.jnca.2024.104019)

Haris, J., Gibson, P., Cano, J. , Bohm Agostini, N. and Kaeli, D. (2023) SECDA-TFLite: a toolkit for efficient development of FPGA-based DNN accelerators for edge inference. Journal of Parallel and Distributed Computing, 173, pp. 140-151. (doi: 10.1016/j.jpdc.2022.11.005)

Louloudakis, N., Gibson, P., Cano, J. and Rajan, A. (2022) Exploring Effects of Computational Parameter Changes to Image Recognition Systems. arXiv, (Unpublished)

Dong, S., Sun, Y., Bohm Agostini, N., Karimi, E., Lowell, D., Zhou, J., Cano, J. , Abellán, J. L. and Kaeli, D. (2021) Spartan: a sparsity-adaptive framework to accelerate deep neural network training on GPUs. IEEE Transactions on Parallel and Distributed Systems, 32(10), pp. 2448-2463. (doi: 10.1109/TPDS.2021.3067825)

Turner, J., Crowley, E. J., Radu, V., Cano Reyes, J. , Storkey, A. and O'Boyle, M. (2019) Distilling with performance enhanced students. arXiv, (Unpublished)

Cano, J. , White, D. R., Bordallo, A., McCreesh, C. , Michala, A. L. , Singer, J. and Nagarajan, V. (2018) Solving the task variant allocation problem in distributed robotics. Autonomous Robots, 42(7), pp. 1477-1495. (doi: 10.1007/s10514-018-9742-5)

Cano, J. , Flich, J., Roca, A., Duato, J., Coppola, M. and Locatelli, R. (2014) Efficient routing in heterogeneous SoC designs with small implementation overhead. IEEE Transactions on Computers, 63(3), pp. 557-569. (doi: 10.1109/TC.2012.299)

Villanueva, M. J., T. Calafate, C., Torres, A., Cano, J. , Cano, J.-C. and Manzoni, P. (2013) Seamless MANET autoconfiguration through enhanced 802.11 beaconing. Mobile Information Systems, 9(1), pp. 19-35. (doi: 10.3233/MIS-2012-0145)

Cano, J. , Cano, J.-C., Toh, C.-K., Calafate, C. T. and Manzoni, P. (2010) EasyMANET: an extensible and configurable platform for service provisioning in MANET environments. IEEE Communications Magazine, 48(12), pp. 159-167. (doi: 10.1109/MCOM.2010.5673087)

Books

Cano Reyes, J. (2012) Bringing Mobile Ad Hoc Networks to the Masses: an Essay on Autoconfiguration and Service Discovery. LAP Lambert Academic Publishing. ISBN 9783848424320

Book Sections

Cano, J. , Cano, J.-C., Calafate, C. T. and Manzoni, P. (2010) Experiences in developing ubiquitous applications. In: Designing Solutions-Based Ubiquitous and Pervasive Computing: New Issues and Trends. Information Science Reference: Hershey, PA, pp. 97-112. ISBN 9781615208432 (doi: 10.4018/978-1-61520-843-2.ch005)

Cano, J.-C., Calafate, C. T., Cano, J. and Manzoni, P. (2009) Deploying pervasive technologies. In: Khosrow-Pour, Mehdi (ed.) Encyclopedia of Information Science and Technology, Second Edition. Information Science Reference: Hershey, PA, pp. 1001-1006. ISBN 9781605660264 (doi: 10.4018/978-1-60566-026-4.ch160)

Edited Books

Cano, J. , Dikaiakos, M. D., Papadopoulos, G. A., Pericàs, M. and Sakellariou, R. (Eds.) (2023) Euro-Par 2023: Parallel Processing. 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 – September 1, 2023, Proceedings. Series: Lecture notes in computer science. Springer: Cham. ISBN 9783031396977

Cano, J. and Trinder, P. (Eds.) (2022) Euro-Par 2022: Parallel Processing. 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22–26, 2022, Proceedings. Series: Lecture notes in computing science. Springer: Cham.

Conference or Workshop Item

Duato, J. , Mestre, J. I. , Dolz, M. F. , Quintana-Orti, E. S. and Cano Reyes, J. (2025) Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks. 5th Workshop on Machine Learning and Systems (EuroMLSys ’25), Rotterdam, Netherlands, 30 March- 3 April 2025. pp. 39-45. ISBN 9798400715389 (doi: 10.1145/3721146.3721950)

Ferguson, A., Gibson, P. , D'Agata, L., McLeod, P., Yaman, F., Das, A., Colbert, I. and Cano Reyes, J. (2025) Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs. 5th Workshop on Machine Learning and Systems (EuroMLSys ’25), Rotterdam, Netherlands, 30 March- 3 April 2025. pp. 39-45. ISBN 9798400715389 (doi: 10.1145/3721146.3721948)

Hu, W., Gibson, P. and Cano, J. (2023) ICE-Pick: Iterative Cost-Efficient Pruning for DNNs. ICML 2023 Workshop on Neural Compression, Honolulu, Hawaii, USA, 28-29 July 2023.

Louloudakis, N., Gibson, P., Cano, J. and Rajan, A. (2022) Assessing Robustness of Image Recognition Models to Changes in the Computational Environment. NeurIPS ML Safety Workshop (MLSW), New Orleans, USA, 28 Nov -9 Dec 2022.

Haris, J., Gibson, P., Cano, J. , Agostini, N. B. and Kaeli, D. (2022) Hardware/Software Co-Design of Edge DNN Accelerators with TFLite. 18th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 10-16 July 2022.

Gibson, P. and Cano, J. (2022) Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection. 4th Workshop on Accelerated Machine Learning (AccML), co-located with the HiPEAC conference, Budapest, 22 June 2022.

Lofqvist, M. and Cano, J. (2021) Optimizing Data Processing in Space for Object Detection in Satellite Imagery. 35th Annual Small Satellite Conference, 07-12 Aug 2021.

Lofqvist, M. and Cano, J. (2020) Accelerating Deep Learning Applications in Space. 34th Annual Small Satellite Conference, Virtual Conference, 2020.

Gibson, P. , Cano, J. , Turner, J., Crowley, E. J., O’Boyle, M. and Storkey, A. (2020) Evaluating Grouped Spatial Pack Convolutions on Edge CPUs. 16th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Online, 06-17 Jul 2020.

Haris, J. and Cano, J. (2020) Hardware Acceleration of Deep Neural Networks on Edge Devices with FPGAs. 16th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Online, 06-17 Jul 2020.

Turner, J., Crowley, E. J., Radu, V., Cano, J. , Storkey, A. and O'Boyle, M. (2019) Staircase: Distilling with Performance Enhanced Students for Hardware. ARM Research Summit, Austin, USA, 15-18 Sep 2019.

Rovder, S., Cano, J. and O’Boyle, M. (2019) Optimising Convolutional Neural Networks Inference on Low-Powered GPUs. Twelfth International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2019), Valencia, Spain, 21 Jan 2019.

Cano, J. , Turner, J., Radu, V. and O'Boyle, M. (2018) Accelerating Deep Convolutional Neural Networks on Low Power Embedded Devices. ARM Research Summit, Cambridge, UK, 17-19 Sep 2018.

Loukadakis, M., Cano, J. and O’Boyle, M. (2018) Accelerating Deep Neural Networks on Low Power Heterogeneous Architectures. Eleventh International Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG-2018), Manchester, UK, 24 Jan 2018.

Cano, J. , Kumar, R., Brankovic, A., Pavlou, D., Stavrou, K., Gibert, E., Martinez, A. and Gonzalez, A. (2017) HW/SW Co-designed Processors: Challenges, Design Choices and a Simulation Infrastructure for Evaluation. ARM Research Summit, Cambridge, UK, 11-13 Sep 2017.

Cano, J. et al. (2012) Modelling HW/SW Co-Designed Processors. 8th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 08-14 Jul 2012.

Cano Reyes, J. , Flich, J., Duato, J., Coppola, M. and Locatelli, R. (2011) Mapping Irregular MPSoC Topologies onto 2D-meshes. 7th International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems (ACACES), Fiuggi, Italy, 10-16 Jul 2011.

Conference Proceedings

Louloudakis, N., Gibson, P., Cano Reyes, J. and Rajan, A. (2025) Exploring Robustness of Image Recognition Models on Hardware Accelerators. In: 2025 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), Naples, Italy, 31 March 2025 - 04 April 2025, pp. 368-374. ISBN 9798331534677 (doi: 10.1109/ICSTW64639.2025.10962531)

Hu, W., Henderson, P. and Cano, J. (2025) ICE-Pruning: an Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks. In: International Joint Conference on Neural Networks (IJCNN 2025), Rome, Italy, 30 Jun - 05 Jul 2025, (Accepted for Publication)

Louloudakis, N., Gibson, P. , Cano Reyes, J. and Rajan, A. (2025) FetaFix: Automatic Fault Localization and Repair of Deep Learning Model Conversions. In: International Conference on Evaluation and Assessment in Software Engineering (EASE) 2025, Istanbul, Turkey, 17 - 20 June 2025, (Accepted for Publication)

Hu, W., Henderson, P. and Cano Reyes, J. (2024) DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations. In: NeurIPS 2024 Workshop Machine Learning with new Compute Paradigms, Vancouver, Canada, 14 December 2024,

Saha, R. , Haris, J. and Cano, J. (2024) Accelerating PoT Quantization on Edge Devices. In: 31st IEEE International Conference on Electronics, Circuits and Systems, Nancy, France, 18-20 Nov 2024, (Accepted for Publication)

Sharma, V., Pau, D. and Cano, J. (2024) Efficient Tiny Machine Learning for Human Activity Recognition on Low-Power Edge Devices. In: 2024 IEEE 8th International Forum on Research and Technologies for Society and Industry (IEEE RTSI 2024), Lecco, Italy, 18-20 Sep 2024, (Accepted for Publication)

Agostini, N. B., Haris, J., Gibson, P. , Jayaweera, M., Rubin, N., Tumeo, A., Abellán, J. L., Cano Reyes, J. and Kaeli, D. (2024) AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators. In: International Symposium on Code Generation and Optimization (CGO) 2024, Edinburgh, United Kingdom, 02-06 Mar 2024, pp. 143-157. ISBN 9798350395099 (doi: 10.1109/CGO57630.2024.10444801)

Louloudakis, N., Gibson, P. , Cano Reyes, J. and Rajan, A. (2023) DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models. In: 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Columbia, 1-6 Oct 2023, ISBN 9798350327830 (doi: 10.1109/ICSME58846.2023.00054)

Louloudakis, N., Gibson, P., Cano, J. and Rajan, A. (2023) Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition. In: 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Kirchberg, Luxembourg, 11-15 September 2023, pp. 1795-1799. ISBN 9798350329964 (doi: 10.1109/ASE56229.2023.00147)

Ayaz, F. , Zakariyya, I., Cano Reyes, J. , Keoh, S. L. , Singer, J. , Pau, D. and Kharbouche-Harrari, M. (2023) Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. In: International Joint Conference on Neural Networks (IJCNN 2023), Gold Coast, Australia, 18-23 June 2023, ISBN 9781665488679 (doi: 10.1109/IJCNN54540.2023.10191429)

Gibson, P. and Cano, J. (2022) Transfer-Tuning: Reusing Auto-Schedules for Efficient Tensor Program Code Generation. In: 31st International Conference on Parallel Architectures and Compilation Techniques (PACT2022), Chicago, USA, 10-12 October 2022, (Accepted for Publication)

Stjerngren, A., Gibson, P. and Cano, J. (2022) Bifrost: End-to-End Evaluation and optimization of Reconfigurable DNN Accelerators. In: 2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Singapore, 22-24 May 2022, pp. 288-299. ISBN 9781665459549 (doi: 10.1109/ISPASS55109.2022.00042)

Haris, J., Gibson, P. , Cano, J. , Bohm Agostini, N. and Kaeli, D. (2021) SECDA: Efficient Hardware/Software Co-design of FPGA-based DNN Accelerators for Edge Inference. In: 2021 IEEE 33rd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Belo Horizonte, Brazil, 26-28 Oct 2021, pp. 33-43. ISBN 9781665443012 (doi: 10.1109/SBAC-PAD53543.2021.00015)

Gibson, P. and Cano, J. (2020) Orpheus: a New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference. In: 2020 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 23-26 Aug 2020, pp. 229-230. ISBN 9781728147987 (doi: 10.1109/ISPASS48437.2020.00042)

Bohm Agostini, N., Dong, S., Elmira, K., Marti, T. L., Cano, J. , Abellán, J. L. and Kaeli, D. (2020) Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC. In: 2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Porto, Portugal, 9-11 Sept. 2020, pp. 10-19. ISBN 9781728199245 (doi: 10.1109/SBAC-PAD49847.2020.00013)

Gibson, P. , Cano, J. , Turner, J., Crowley, E. J., O’Boyle, M. and Storkey, A. (2020) Optimizing Grouped Convolutions on Edge Devices. In: 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP), Manchester, UK, 06-08 Jul 2020, pp. 189-196. ISBN 9781728171470 (doi: 10.1109/ASAP49362.2020.00039)

Cano, J. , Yang, Y., Bodin, B., Nagarajan, V. and O’Boyle, M. (2019) Automatic Parameter Tuning of Motion Planning Algorithms. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, 01-05 Oct 2018, pp. 8103-8109. ISBN 9781538680940 (doi: 10.1109/IROS.2018.8594183)

Radu, V., Kaszyk, K., Wen, Y., Turner, J., Cano, J. , Crowley, E. J., Franke, B., Storkey, A. and O’Boyle, M. (2019) Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs. In: 2019 IEEE International Symposium on Workload Characterization (IISWC), Orlando, FL, USA, 03-05 Nov 2019, pp. 24-34. ISBN 9781728140452 (doi: 10.1109/IISWC47752.2019.9042000)

Turner, J., Cano, J. , Radu, V., Crowley, E. J., O’Boyle, M. and Storkey, A. (2018) Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks. In: 2018 IEEE International Symposium on Workload Characterization (IISWC), Raleigh, NC, USA, 30 Sep - 02 Oct 2018, pp. 101-110. ISBN 9781538667804 (doi: 10.1109/IISWC.2018.8573503)

Kumar, R., Cano, J. , Pavlou, D., Stavrou, K., Gibert, E., Martinez, A. and González, A. (2017) HW/SW Co-designed Processors: Challenges, Design Choices and a Simulation Infrastructure for Evaluation. In: 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Santa Rosa, CA, USA, 24-25 Apr 2017, pp. 185-194. ISBN 9781538638903 (doi: 10.1109/ISPASS.2017.7975290)

Cano, J. , White, D. R., Bordallo, A., McCreesh, C., Prosser, P. , Singer, J. and Nagarajan, V. (2016) Task Variant Allocation in Distributed Robotics. In: Robotics Science and Systems 2016, Ann Arbor, MI, USA, 18-22 June 2016, ISBN 9780992374723 (doi: 10.15607/RSS.2016.XII.045)

Cano, J. , Bordallo, A., Nagarajan, V., Ramamoorthy, S. and Vijayakumar, S. (2016) Automatic Configuration of ROS Applications for Near-optimal Performance. In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 09-14 Oct 2016, pp. 2217-2223. ISBN 9781509037629 (doi: 10.1109/IROS.2016.7759347)

Cano, J. , Kumar, R., Brankovic, A., Pavlou, D., Stavrou, K., Gibert, E., Martínez, A. and González, A. (2016) Quantitative Characterization of the Software Layer of a HW/SW Co-Designed Processor. In: 2016 IEEE International Symposium on Workload Characterization (IISWC), Providence, RI, USA, 25-27 Sep 2016, pp. 138-147. ISBN 9781509038961 (doi: 10.1109/IISWC.2016.7581274)

Cano, J. , Molinos, E., Nagarajan, V. and Vijayakumar, S. (2015) Dynamic Process Migration in Heterogeneous ROS-based Environments. In: 2015 International Conference on Advanced Robotics (ICAR), Istanbul, Turkey, 27-31 Jul 2015, ISBN 9781467375092 (doi: 10.1109/ICAR.2015.7251505)

Yu, Q., Cano, J. , Flich, J. and Ampadu, P. (2012) Transient and Permanent Error Control for High-End Multiprocessor Systems-on-Chip. In: 2012 IEEE/ACM Sixth International Symposium on Networks-on-Chip, Copenhagen, Denmark, 09-11 May 2012, pp. 169-176. ISBN 9781467309738 (doi: 10.1109/NOCS.2012.27)

Cano, J. , Flich, J., Duato, J., Coppola, M. and Locatelli, R. (2011) Efficient Routing Implementation in Complex Systems-on-Chip Designs. In: NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip, Pittsburgh, PA, USA, 01-04 May 2011, pp. 1-8. ISBN 9781450307208 (doi: 10.1145/1999946.1999948)

Dubois, F., Cano, J. , Marcello, C., Flich, J. and Pétrot, F. (2011) Spidergon STNoC Design Flow. In: NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip, Pittsburgh, PA, USA, 01-04 May 2011, pp. 267-268. ISBN 9781450307208 (doi: 10.1145/1999946.1999994)

Cano, J. , Cano, J. C., Calafate, C. T. and Manzoni, P. (2007) Solving the User-to-Host Binding Problem in ad hoc Networks through Photo-IDs. In: PE-WASUN '07 Proceedings of the 4th ACM Workshop on Performance Evaluation of Wireless ad hoc, Sensor, and Ubiquitous Networks, Chania, Greece, 22 Oct 2007, pp. 78-81. ISBN 9781595938084 (doi: 10.1145/1298197.1298212)

Cano Reyes, J. , Burgoa, E., Calafate, C. T., Cano, J.-C. and Manzoni, P. (2006) A MANET Autoconfiguration System based on Bluetooth Technology. In: 2006 3rd International Symposium on Wireless Communication Systems, Valencia, Spain, 06-08 Sep 2006, ISBN 9781424403974 (doi: 10.1109/ISWCS.2006.4362386)

Cano, J. C., Cano, J. , Manzoni, P. and Kim, D. (2006) On the Design of Pervasive Computing Applications Based on Bluetooth and a P2P Concept. In: 2006 1st International Symposium on Wireless Pervasive Computing, Phuket, Thailand, 16-18 Jan 2006, ISBN 9780780394100 (doi: 10.1109/ISWPC.2006.1613599)

Cano, J. , Cano, J. C., Manzoni, P. and Ferrandez, D. (2005) On the Design of Spontaneous Networks Using a P2P Approach and Bluetooth. In: 10th IEEE Symposium on Computers and Communications (ISCC'05), Murcia, Spain, 27-30 Jun 2005, ISBN 9780769523736 (doi: 10.1109/ISCC.2005.110)

Patents

STMicroelectronics (Grenoble 2) SAS (2014) Switches and a network of switches. .

This list was generated on Thu Apr 24 23:51:46 2025 BST.

Grants

Current grants:

 

Past grants:

  • AIMDDE (AI-based Manufacturing Defect Detection at the Edge), 02/2022 - 03/2022, funded by EU’s Horizon BonsAPPs AI Talents 1st Open Call

 

 

Supervision

  • Babalola, Omodolapo Victor
    Robust Privacy-Preserving Federated Learning for securing IoT
  • Dymarkowski, Hubert
    Accelerating Computer Vision on FPGA-based Edge Devices
  • Feng, Kai
    Early detection of zero-day exploits in Industrial Control Systems.
  • Fu, Xingjian
    Vision Transformer Algorithm Accelerator Based on FPGA
  • Goh Gek Chuah, Kenneth
    On-Device Learning for IoT Smart Devices in Energy Applications
  • Haris, Jude
    Hardware-Software Co-Design of FPGA-based Neural Network Accelerators for Edge Inference
  • Hu, Wenhao
    A New Point of View of Channel Pruning for Deep Neural Networks
  • SAHA, RAPPY
    Framework to optimize DNN model inference on FPGA

Teaching

- 2023/2024, 2022/2023, 2021/2022, 2020/2021, 2019/2020:

 

- 2018/2019:

Professional activities & recognition

Editorial boards

  • 2023: ACM Transactions on Architecture and Code Optimization
  • 2020: MDPI Sustainability - Special Issue "Energy-Efficient Computing Systems for Deep Learning"

Professional & learned societies

  • 2021: Senior Member, IEEE
  • 2021: Senior Member, ACM
  • 2021: Member, HiPEAC

Dr Jose Cano Reyes on Twitter