Dr. Alexander Fell
Angestellt, Senior Research Specialist, University of Chicago
Abschluss: PhD, Indian Institute of Science
Chicago, Vereinigte Staaten
Werdegang
Berufserfahrung von Alexander Fell
Bis heute 11 Monate, seit Sep. 2023
Senior Research Specialist
University of Chicago
Bis heute 5 Jahre und 7 Monate, seit Jan. 2019
Adjunct Professor
Indraprashta Institute of Information Technology Delhi
3 Jahre, Juli 2020 - Juni 2023
Leading Researcher
Barcelona Supercomputing Center
The MareNostrum Experimental Exascale Platform (MEEP, https://meep-project.eu/) is a flexible FPGA-based emulation platform that will explore hardware/software co-designs for Exascale Supercomputers and other hardware targets, based on European-developed IP.
1 Jahr und 4 Monate, März 2019 - Juni 2020
Assistent Professor
Singapore Institute of Technology
1 Jahr und 9 Monate, Juli 2017 - März 2019
Cyber Security Research Scientist
Nanyang Technological University
In this work, I concentrate on two attacking scenarios: 1. Time Side Channel Attacks: An attacker correlates the execution time of a binary program executing on a low-noise embedded system on bare metal to extract internal implementation details of the victim program and even extract secret information such as cryptographic keys. 2. Reverse Engineer Attacks: In addition to further hide implementation details of the, the original source code is obfuscated making it unintelligible to an attacker.
5 Jahre und 6 Monate, Juli 2013 - Dez. 2018
Assistant Professor
Indraprashta Institute of Information Technology Delhi
Teaching Areas: Embedded Logic Design (BTech, 2nd year) Advanced Embedded Logic Design (MTech, 1st year, BTech elective) Introduction to Engineering Design (BTech, 1st year) Refresher Course in FPGA for BTech and MTech students Research Interests: Coarse Grain Reconfigurable Architectures (CGRAs), Network-on-Chip, Low Power Embedded Systems and Compilers
Mapping of graphs is known to be an NP-complete problem. In Coarse Grained Reconfigurable Architectures (CGRA) this problem occurs, if a Data Flow Graph (DFG) needs to be mapped onto the available physical hardware. The mapping should not only achieve a high utilization of resources, but also avoid increasing the height of the graph (=execution time) of the application.
Ausbildung von Alexander Fell
3 Jahre und 11 Monate, Jan. 2009 - Nov. 2012
Hardware Engineering, Multi-core Processor Architectures
Indian Institute of Science
Research topic: Exploration of reconfigurable data flow multi-core processors, SystemC REDEFINE simulator, Daedalus on REDEFINE, RECONNECT: A flexible Router Architecture for Network-on-Chips, Hardware simulation acceleration by using REDEFINE
2005 - 2007
FH Köln
Graduation project at the Indian Institute of Science (IISc), Bangalore, India (February 2007 to August 2007) supported by DAAD scholarship; Topic: “Network on Chip Routers in a Dual Honeycomb Network”
2001 - 2005
FH Aachen
Exchange semester at the Ferris State University, Big Rapids, Michigan, USA
Sprachen
Englisch
Fließend
Deutsch
Muttersprache