Faculty
Cristinel Ababei, Ph.D.
Bio
I am an Associate Professor in the Dept. of Electrical and Computer Engineering, Marquette University. I received the Ph.D. degree in electrical engineering from the University of Minnesota, Minneapolis, in 2004 and the M.Sc. (signal processing) and B.S. (microelectronics) degrees from the Technical University "Gh. Asachi" of Iasi, Romania. Prior to joining Marquette University, from 2012 to 2013, I was an assistant professor in the Dept. of Electrical Engineering, The State University of New York (SUNY) at Buffalo and from 2008 to 2012, I was an assistant professor in the Dept. of Electrical and Computer Engineering, North Dakota State University (NDSU). Previously, from 2004 to 2008, I worked for Magma Design Automation, San Jose CA, where I received the outstanding technical contribution award in 2007. During the Summer of 2001, I worked on analog circuit synthesis and layout at NeoLinear Inc., Pittsburgh PA. During 1996-1997, I was an Erasmus graduate student at the University of Patras, Greece. I serve on the technical program committee of several conferences including NOCS, SOCC, and ReConFig. I am a senior member of IEEE and a member of ACM and Eta Kappa Nu. I strive to be an advocate for gender equity.
Research Interests
I am an Electronic Design Automation (EDA, deals with the development of software tools used in the design of integrated circuits with billions of transistors, such as VLSI and FPGA circuits), embedded systems, and computing systems researcher. These areas encompass algorithms, data structures, graph theory, optimization, programming (most often C/C++), microcontrollers, digital and analog circuit design, and microelectronic fabrication. My current research interests include uncertainty in embedded systems design, IoT security, machine learning techniques applied to energy optimization in multicore processors and datacenters, underwater drones, LiDARs in transportation, and co-simulation of buildings and distribution networks.
 |
Associate Professor Marquette University, Dept. of Electrical and Computer Engineering Haggerty Hall, Room 220 1515 W. Wisconsin Ave., Milwaukee, WI 53233 Tel: 414-288-5720 E-mail: cristinel.ababei AT marquette.edu CV, Google Scholar; DBLP; ACM Digital Library; ResearchGate; SemanticScholar |
Bio
I am an Associate Professor in the Dept. of Electrical and Computer Engineering, Marquette University. I received the Ph.D. degree in electrical engineering from the University of Minnesota, Minneapolis, in 2004 and the M.Sc. (signal processing) and B.S. (microelectronics) degrees from the Technical University "Gh. Asachi" of Iasi, Romania. Prior to joining Marquette University, from 2012 to 2013, I was an assistant professor in the Dept. of Electrical Engineering, The State University of New York (SUNY) at Buffalo and from 2008 to 2012, I was an assistant professor in the Dept. of Electrical and Computer Engineering, North Dakota State University (NDSU). Previously, from 2004 to 2008, I worked for Magma Design Automation, San Jose CA, where I received the outstanding technical contribution award in 2007. During the Summer of 2001, I worked on analog circuit synthesis and layout at NeoLinear Inc., Pittsburgh PA. During 1996-1997, I was an Erasmus graduate student at the University of Patras, Greece. I serve on the technical program committee of several conferences including NOCS, SOCC, and ReConFig. I am a senior member of IEEE and a member of ACM and Eta Kappa Nu. I strive to be an advocate for gender equity.
Research Interests
I am an Electronic Design Automation (EDA, deals with the development of software tools used in the design of integrated circuits with billions of transistors, such as VLSI and FPGA circuits), embedded systems, and computing systems researcher. These areas encompass algorithms, data structures, graph theory, optimization, programming (most often C/C++), microcontrollers, digital and analog circuit design, and microelectronic fabrication. My current research interests include uncertainty in embedded systems design, IoT security, machine learning techniques applied to energy optimization in multicore processors and datacenters, underwater drones, LiDARs in transportation, and co-simulation of buildings and distribution networks.