Alberto Marchisio

Alberto Marchisio
University Assistant Projektass. Dott.mag. BSc
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E-Mail
Phone +43 (1) 58801-18203
Fax +43 (1) 58801-18297
Address



Vienna University of Technology
Institute of Computer Engineering
Embedded Computing Systems
Treitlstrasse 3, 2nd floor, 1040 Wien, Austria

Short Biography

Mr. Alberto Marchisio received his B.Sc. degree in Electronic Engineering from Polytechnic University of Turin, Turin, Italy, in October 2015. He received his M.Sc. degree in Electronic Engineering (Electronic Systems) from Polytechnic University of Turin, Turin, Italy, in April 2018. Currently, he is Ph.D. Student at Computer Architecture and Robust Energy-Efficient Technologies (CARE-Tech.), Embedded Computing Systems, Department of Informatics, Institute of Computer Engineering, Technische Universität Wien (TU Wien), Vienna, Austria, under the supervision of Prof. Dr. Muhammad Shafique. His main research interests include VLSI architecture design, machine learning, brain-inspired computing and emerging computing technologies. He received the honorable mention at the Italian National Finals of Maths Olympic Games in 2012. He also received the Richard Newton Young Fellow Award in 2019.

Publications

Conference/Symposium Papers

  • A. Marchisio, M. A. Hanif, and M. Shafique, “CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse”, to appear at IEEE/ACM 22nd Design, Automation and Test in Europe Conference (DATE), March, 2019.
  • A. Marchisio, M. A. Hanif, M. Martina, and M. Shafique, “PruNet: Class-Blind Pruning Method for Deep Neural Networks”, The International Joint Conference on Neural Networks (IJCNN), July 2018.

Journal Papers

  • M. A. Hanif, A. Marchisio, T. Arif, R. Hafiz, S. Rehman, and M. Shafique, “X-DNNs: Systematic Cross-Layer Approximations for Energy-Efficient Deep Neural Networks”, in ASP Journal of Low Power Electronics (JOLPE), Vol. 14, N° 4, December 2018 - Special Issue on "Machine Learning and Artificial Intelligence in Low Power Electronics".

Workshop Papers

  • A. Marchisio, G. Nanfa, F. Khalid, M. A. Hanif, M. Martina, M. Shafique, “CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks”, at ICML 2019 Workshop on Uncertainty & Robustness in Deep Learning (UDL), at the 36th International Conference on Machine Learning (ICML), Long Beach, CA, USA, June 2019.
  • A. Marchisio, R. V. W. Putra, M. A. Hanif, and M. Shafique, “HW/SW Co-Design and Co-Optimizations for Deep Learning”, Workshop on INTelligent Embedded Systems Architectures and Applications (INTESA), at the Embedded Systems Week (ESWeek), October 2018.

CS Archive Publications

  • A. Marchisio, B. Bussolino, A. Colucci, M. A. Hanif, M. Martina, G. Masera, and M, Shafique, “X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations”, CoRR abs/1905.10142, May 2019.
  • A. Marchisio, M. A. Hanif, M. T. Teimoori, and M. Shafique, “CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators”, CoRR abs/1902.01151, February 2019.
  • A. Marchisio, G. Nanfa, F. Khalid, M. A. Hanif, M. Martina, and M. Shafique, “SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples?”, CoRR abs/1902.01147, February 2019.
  • A. Marchisio, G. Nanfa, F. Khalid, M. A. Hanif, M. Martina, and M. Shafique, “CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks”, CoRR abs/1901.09878, January 2019.
  • A. Marchisio, M. A. Hanif, S. Rehman, M. Martina, and M. Shafique, “A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks”, CoRR abs/1811.03980, October 2018.

Master Thesis

  • Alberto Marchisio, “Optimizing Deep Neural Networks on GPUs”. Joint supervision of Prof. Dr. Maurizio Martina, Polytechnic University of Turin, and Prof. Dr. Muhammad Shafique, Vienna University of Technology. April 2018.