Skip to main content
  • Home
  • About
  • Faculty Experts
  • For The Media
  • ’Cuse Conversations Podcast
  • Topics
    • Alumni
    • Events
    • Faculty
    • Students
    • All Topics
  • Contact
  • Submit
STEM
  • All News
  • Arts & Culture
  • Business & Economy
  • Campus & Community
  • Health & Society
  • Media, Law & Policy
  • STEM
  • Veterans
  • University Statements
  • Syracuse University Impact
  • |
  • The Peel
  • Athletics
Sections
  • All News
  • Arts & Culture
  • Business & Economy
  • Campus & Community
  • Health & Society
  • Media, Law & Policy
  • STEM
  • Veterans
  • University Statements
  • Syracuse University Impact
  • |
  • The Peel
  • Athletics
  • Home
  • About
  • Faculty Experts
  • For The Media
  • ’Cuse Conversations Podcast
  • Topics
    • Alumni
    • Events
    • Faculty
    • Students
    • All Topics
  • Contact
  • Submit
STEM

Electrical Engineering, Computer Science Researchers Win Artificial Intelligence Award

Thursday, April 29, 2021, By Alex Dunbar
Share
Research and Creative

A research collaboration between electrical engineering and computer science researchers and colleagues at Upstate Medical University on detecting Alzheimer’s disease won a notable award at an artificial intelligence conference. Professors Asif Salekin and Senem Velipasalar, EECS graduate students Fatih Altay and Guillermo Ramon Sánchez, along with doctors Yanli James and Stephen V. Faraone from Upstate Medical University won the IAAI-21 Deployed Application Award at the 33rd Annual Conference on Innovative Applications of Artificial Intelligence.

The team’s research centers on early detection of Alzheimer’s disease. The most common symptoms of Alzheimer’s disease include problems with communicating and abstract thinking, as well as disorientation. Early detection of the disease can help improve cognitive functioning with medication and training. The research paper from the Syracuse University/ Upstate Medical University team proposes two machine learning approaches for detecting Alzheimer’s disease from MRI images to help early detection efforts at a preclinical stage before symptoms have appeared.

In their paper the team described the impact their research could have. “Recent reports on Alzheimer’s disease (AD) suggest that change in the brain may be evident 20 years before dementia symptoms, typically when the disease gets diagnosed. But substantial neuronal loss happens during that latent period of the disease. The early-stage intervention of AD can significantly impact the neuronal degeneration process and treatment of symptoms that would expand the patients’ life expectancy and quality of life. Hence, accurate detection or indication of preclinical AD is a major interest in the medical community. Our research is the first to develop an effective machine learning approach that can identify the latent patterns due to preclinical AD from MRI brain scans, which can significantly improve AD patients’ intervention and treatment.”

  • Author

Alex Dunbar

  • Recent
  • NSF I-Corps Semiconductor and Microelectronics Free Virtual Course Being Offered
    Wednesday, July 16, 2025, By Cristina Hatem
  • Jianshun ‘Jensen’ Zhang Named Interim Department Chair of Mechanical and Aerospace Engineering
    Wednesday, July 16, 2025, By Emma Ertinger
  • Star Scholar: Julia Fancher Earns Second Astronaut Scholarship for Stellar Research
    Wednesday, July 16, 2025, By Kelly Homan Rodoski
  • Traugott Professor of Mechanical and Aerospace Engineering Bing Dong to Present at Prestigious AI Conference
    Wednesday, July 16, 2025, By Emma Ertinger
  • Lender Center Researcher Studies Veterans’ Post-Service Lives, Global Conflict Dynamics
    Tuesday, July 15, 2025, By Diane Stirling

More In STEM

NSF I-Corps Semiconductor and Microelectronics Free Virtual Course Being Offered

University researchers with groundbreaking ideas in semiconductors, microelectronics or advanced materials are invited to apply for an entrepreneurship-focused hybrid course offered through the National Science Foundation (NSF) Innovation Corps (I-Corps) program. The free virtual course runs from Sept. 15 through…

Jianshun ‘Jensen’ Zhang Named Interim Department Chair of Mechanical and Aerospace Engineering

The College of Engineering and Computer Science (ECS) is excited to announce that Professor Jianshun “Jensen” Zhang has been appointed interim department chair of mechanical and aerospace engineering (MAE), as of July 1, 2025. Zhang serves as executive director of…

Star Scholar: Julia Fancher Earns Second Astronaut Scholarship for Stellar Research

Julia Fancher, a rising senior majoring in physics and mathematics in the College of Arts and Sciences (A&S), a logic minor in A&S and a member of the Renée Crown University Honors Program, has been renewed as an Astronaut Scholar for…

Traugott Professor of Mechanical and Aerospace Engineering Bing Dong to Present at Prestigious AI Conference

Professor Bing Dong was recently selected to lead a workshop on artificial intelligence (AI) at NeurIPS, the Conference and Workshop on Neural Information Processing Systems. Founded in 1987, NeurIPS is one of the most prestigious annual conferences dedicated to machine learning and AI research. Dong’s workshop…

6 A&S Physicists Awarded Breakthrough Prize

Our universe is dominated by matter and contains hardly any antimatter, a notion which still perplexes top scientists researching at CERN’s Large Hadron Collider. The Big Bang created equal amounts of matter and antimatter, but now nearly everything—solid, liquid, gas or plasma—is…

Subscribe to SU Today

If you need help with your subscription, contact sunews@syr.edu.

Connect With Us

  • X
  • Facebook
  • Instagram
  • Youtube
  • LinkedIn
Social Media Directory

For the Media

Find an Expert Follow @SyracuseUNews
  • Facebook
  • Instagram
  • Youtube
  • LinkedIn
  • @SyracuseU
  • @SyracuseUNews
  • Social Media Directory
  • Accessibility
  • Privacy
  • Campus Status
  • Syracuse.edu
© 2025 Syracuse University News. All Rights Reserved.