• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE
CS Logo
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
CS Logo

0

IEEE Computer Society Logo
Sign up for our newsletter
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

FacebookTwitterLinkedInInstagramYoutube
  • Home
  • /Profiles
  • Home
  • /Profiles

Michela Taufer

Treasurer 2023 Executive Committee

Featured ImageFeatured ImageMichela Taufer is an ACM Distinguished Scientist and holds the Jack Dongarra Professorship in High Performance Computing in the Department of Electrical Engineering and Computer Science at the University of Tennessee Knoxville (UTK). She earned her undergraduate degrees in Computer Engineering from the University of Padova (Italy) and her doctoral degree in Computer Science from the Swiss Federal Institute of Technology or ETH (Switzerland). From 2003 to 2004 she was a La Jolla Interfaces in Science Training Program (LJIS) Postdoctoral Fellow at the University of California San Diego (UCSD) and The Scripps Research Institute (TSRI), where she worked on interdisciplinary projects in computer systems and computational chemistry. Michela has a long history of interdisciplinary work with scientists. Her research interests include software applications and their advance programmability in heterogeneous computing (i.e., multi-core platforms and GPUs); cloud computing and volunteer computing; and performance analysis, modeling and optimization of multi-scale applications. She has been serving as the principal investigator of several NSF collaborative projects. She also has significant experience in mentoring a diverse population of students on interdisciplinary research. Michela's training expertise includes efforts to spread high-performance computing participation in undergraduate education and research as well as efforts to increase the interest and participation of diverse populations in interdisciplinary studies.
LATEST NEWS
Shaping the Future of HPC through Architectural Innovation and Industry Collaboration
Shaping the Future of HPC through Architectural Innovation and Industry Collaboration
Reimagining AI Hardware: Neuromorphic Computing for Sustainable, Real-Time Intelligence
Reimagining AI Hardware: Neuromorphic Computing for Sustainable, Real-Time Intelligence
Quantum Insider Session Series: Strategic Networking in the Quantum Ecosystem for Collective Success
Quantum Insider Session Series: Strategic Networking in the Quantum Ecosystem for Collective Success
Computing’s Top 30: Sukanya S. Meher
Computing’s Top 30: Sukanya S. Meher
Securing the Software Supply Chain: Challenges, Tools, and Regulatory Forces
Securing the Software Supply Chain: Challenges, Tools, and Regulatory Forces
Read Next

Shaping the Future of HPC through Architectural Innovation and Industry Collaboration

Reimagining AI Hardware: Neuromorphic Computing for Sustainable, Real-Time Intelligence

Quantum Insider Session Series: Strategic Networking in the Quantum Ecosystem for Collective Success

Computing’s Top 30: Sukanya S. Meher

Securing the Software Supply Chain: Challenges, Tools, and Regulatory Forces

Computing’s Top 30: Tejas Padliya

Reimagining Infrastructure and Systems for Scientific Discovery and AI Collaboration

IEEE 2881: Learning Metadata Terms (LMT) Empowers Learning in the AI Age

Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter