Muhammad Shafique

Muhammad Shafique
Univ.Prof. Dr.-Ing.
E-Mail
Phone +43 (1) 58801-18252
Fax +43 (1) 5880118297
Address



Vienna University of Technology
Institute of Computer Engineering
Embedded Computing Systems
Treitlstraße 3, 1040 Wien, Österreich

 

Keynotes

  • INTELLECT 2019: “Security for Machine Learning: Do You Trust the Intelligence Features of Your Smart Cyber Physical Systems and Internet-of-Things?” at the International Conference On Latest trends in Electrical Engineering & Computing Technologies, 13-14.Nov.2019.

  • DFT 2019: “From Cross-Layer Resilience for Heterogeneous Many-Cores to Robust Machine Learning” at the 32nd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 02.-04.Oct.2019.

  • DSD 2019: “Brain-Inspired Computing for Smart Cyber Physical Systems and Internet-of-Things: Challenges and Opportunities” at the 22nd Euromicro Conference on Digital System Design, 28.-30.Aug.2019.

  • INTELLECT 2017: “Emerging Brain-Inspired Computing Trends: From Approximate Computing to Neural Processing” at the International Conference On Latest trends in Electrical Engineering & Computing Technologies, 15.-16.Nov.2017.

  • SCOPES 2016: “Cross-Layer Reliability Modeling and Optimization: Compiler and Run-Time System Interactions” at the 19th International Workshop on Software and Compilers for Embedded Systems, May, 2016.

  • MOMAC 2015: “Run-Time Resource and Reliability Management in Dark Silicon Many-Core Chips” at the International Workshop on Multi-Objective Many-Core Design, March, 2015.

Invited Talks

  • “Brain-Inspired Computing for Smart CPS and IoT” at the CPS&IoT Summer School, Budva, Montenegro, 10-14.Jun.2019. Slides

  • “Robust Machine Learning for Smart Cyber Physical Systems” at the 4th International Workshop on Design Automation for Cyber-Physical Systems at DAC, June 2019.

  • “Brain-Inspired Computing: Approximate Computing, Machine Learning Accelerators, Adversarial Attacks, and More!” at "Sapienza" University of Rome, March 2019.

  • “Enabling Extreme Energy-Efficiency through Brain-Inspired Computing: A Cross-Layer Approach towards Approximate Computing and Energy-Efficient Neural Processing” at NYU Abu Dhabi (NYUAD), November 2018.

  • “Robust Machine Learning: The Road to Intelligent Systems is under Attack!” at International Workshop on Highly Efficient Neural Processing (HENP), Embedded systems Week, October 2018.

  • “Robust Machine Learning: Security and Reliability Challenges for Intelligent Systems” at Politech. Turin and Politech. Milan, Italy, October 2018.

  • “Rebooting Computing – From Brain-Inspired Chips to Self-Aware Systems The Road to Extreme Energy Efficiency & Robustness” at the NUST and ITU universities, Dec. 2017

  • “Enabling Extreme Energy-Efficiency through Brain-Inspired Computing Trends: From Approximate to Neural Processing” at the 15th Frontiers in Information Technology (FIT) Conference, Dec. 2017

  • “Robust Heterogeneous Computing for CPS” and “Low-Power Computing and Emerging Trends” at CPS Summer School 2017, to be delivered in the week of September 25-30, 2017, Porto Conte Ricerche, Alghero (Italy)

  • “Cross-Layer Approximate Computing: From Circuits to Applications”, at University of Twente (UT), The Netherlands, to be Delivered on 02-June-2017.

  • “Approximate Computing across the Hardware and Software Stacks”, at TU Eindhoven (TU/e), The Netherlands, to be Delivered on 30-May-2017.

  • “Mitigating the Power and Reliability Challenges in Multi-/Many-Cores”, at Center for Advancing Electronics Design (cfaed), TU Dresden, Germany, 10-March-2016.

  • “Application-Driven Power Management for On-Chip Memories”, at Memory Architecture and Organization Workshop (MeAOW), ESWeek, New Delhi, India, 16-Oct-2014.

  • “Collaborative Reliability Boosting: Engaging Multiple Hardware and Software Layers for Reliability Optimization in the Nano-­Era”, at School of Computing, National University of Singapore (NUS), Singapore, 24-Jan-2014.

  • “Combating the Power Challenges for the Next-Generation Multiview Video Processing”, at School of Computer Science and Engineering, University of New South Wales (UNSW), Sydney, Australia, 19-Sep-2013.

  • “Developing Reliable On-Chip Systems: A Cross-Layer Perspective”, at School of Computer Science and Engineering, University of New South Wales (UNSW), Sydney, Australia, 10-Sep-2013.

  • “Developing Power-Efficient Embedded Multimedia Systems for 3D-Video Coding”, at School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan, 18-Jan-2013.

  • “Cross-Layer Techniques for Reliable Code Generation and Execution on Unreliable Hardware”, at School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan, 17-Jan-2013.

  • “Embedded Multiview Video Processing: Is Algorithm-Architecture Collaborative Paradigm a Solution for Extreme Energy Efficiency?” at Mohammad Ali Jinnah University (MAJU), Islamabad, Pakistan, 10-Jan-2013.

  • “Dependable Code Generation for Unreliable Hardware”, at TU Delft, The Netherlands, 20-July-2012.

  • “Energy-Efficient Techniques to Climb the Hills of 3D-Multimedia”, at Leiden Institute of Advanced Computer Science (LIACS), The Netherlands, 19-July-2012.

  • “KAHRISMA: A Mixed-Grained Reconfigurable Multicore Processor”, at UFRGS, Brazil, 24-April-2012.

  • “Reliability-Driven Code Compilation Targeting Unreliable Hardware”, at UFRGS, Brazil, 20-April-2012.

  • “Challenges and Joint Algorithm-Architecture Solutions for Emerging Multiview Video Coding”, at UFRGS, Brazil, 19-April-2012.

Tutorials

  1. J. Qadir, Ala Al-Fuqaha, M. Shafique, “Adversarial ML and Vehicular Networks: Strategies for Attack and Defense”, at IEEE 89th Vehicular Technology Conference (VTC), April.2019.

  2. M. Shafique, S. Rehman, “Designing and Architecting Advanced Embedded Systems”, at the National University of Sciences and Technology (NUST), Dec. 2014, Islamabad, Pakistan.

  3. M. Shafique, S. Garg, H. Patel, P. Gupta, “Cross-Layer Reliability Modeling and Optimization for Embedded Systems under Process Variations”, at Embedded Systems Week (ESWeek), 2013, Montreal, Canada.

  4. M. Shafique, “Low Power Techniques for Massive Data Rate Multiview Video Coding”, EMicro 2012, XIV School on Microelectronics, Brazil.

  5. M. Shafique, Dr. S. M. Ziauddin, “Digital Video Coding and the H.264 Advanced Video Coding Standard”, Streaming Networks, Islamabad, Pakistan, 2005.