MLDAS 2026
Machine Learning and Data Analytics Symposium

8-9 February, 2026

Carnegie Mellon University, Doha, Qatar

MLDAS is dedicated to fostering connections between researchers, practitioners, students, and industry experts in the fields of machine learning and data science. MLDAS aims to bridge the gap between academic insights and the practical needs of industry, featuring invited talks by prominent researchers, a panel discussion, and poster sessions by students and junior researchers.

The focus of the 2026 MLDAS edition is on SAFE AND SUSTAINABLE AI. As AI systems grow in scale and influence, ensuring their safe operation while minimizing environmental and energy impact has become a global priority. The symposium will bring together leading researchers, industry leaders, and policymakers to discuss next-generation models, architectures, frameworks, and policies that enable AI systems to remain both safe and environmentally responsible while supporting large-scale societal applications.

Topics include, but are not limited to:

  • Safe and robust AI systems
  • Efficient and sustainable AI systems
  • Green data centers and energy-aware AI infrastructures
  • Sustainable approaches for alignment and fine-tuning large-scale AI models
  • Lifecycle carbon footprint measurement of AI systems
  • Edge AI and distributed efficient computation
  • Policies and governance frameworks for Safe & Green AI
  • Quantum computing and sustainable AI

Organizers

MLDAS has been jointly organized by Boeing and QCRI since 2014.

Chairs:

Mohamed Hefeeda - Acting Research Director, QCRI
Sanjay Chawla - Chief Scientist, QCRI
Dragos Margineantu - AI Chief Technologist, Boeing

Registration and Local Arrangements Chair:

Keivin Isufaj - Software Engineer, QCRI

Speakers

Confirmed Speakers for MLDAS 2026

Eric Feron

Eric Feron

Eric Feron is an Electrical and Computer Engineering Program professor and the Principal Investigator of the Aerospace and Transportation Systems (ATS) Research Group at KAUST.

Moustafa Amin Youssef

Moustafa Amin Youssef

Moustafa Youssef is a professor at The American University in Cairo and founder and director of the Wireless Research Center of Excellence, Egypt.

Baochun Li

Baochun Li

Baouchun Li is a professor at the Department of Electrical and Computer Engineering at the University of Toronto.

Elisa Bertino

Elisa Bertino

Professor Elisa Bertino is a Professor of Computer Science at Purdue since January 2004 and research director at CERIAS.

David Mohaisen

David Mohaisen

David Mohaisen is a Professor of Computer Science at the University of Central Florida, and serves as Director of the SEAL (Security, Emerging Technologies, AI, and Learning) research group.

Hai Phan

Hai Phan

Hai Phan is an Associate Professor at NJIT, a co-founding member and Associate Chair of the Department of Data Science, and a senior member of the NSF Center of Big Learning.

Mykel Kochenderfer

Mykel Kochenderfer

Mykel Kochenderfer is Associate Professor of Aeronautics and Astronautics, Associate Professor of Computer Science at Stanford University, and senior fellow at HAI.

Divyakant Agrawal

Divyakant Agrawal

Divyakant Agrawal is a Distinguished Professor, the Chair of Computer Science, and the Director of Engineering Computing Infrastructure at the University of California at Santa Barbara.

Liam Kruse

Liam Kruse

Liam is an artificial intelligence scientist at the Boeing Company.

Speakers from Prior Editions

Event Schedule

Here is our event schedule

Event schedule will be populated here

Check back soon for our detailed event schedule!

Sponsors

Call for Participation

Join us at MLDAS 2026

MLDAS organizers invite prominent international speakers. Students and junior researchers can participate by submitting their posters here. Additional details will be announced soon for local students, international participants, and funding opportunities.

Submit Here

Event Venue

Event venue location info and gallery

Carnegie Mellon University, Doha, Qatar

Contact Us

Address

Carnegie Mellon University, Doha, Qatar

Phone Number

+974 44540629

Email

mldas@qcri.org