Projects
Outreach and Media
For a complete list of publications, please visit the following media:
Recent News
- – Demo presentation of our conversational AI assistant!Excited to share the success of our demo to DARPA’sContinue reading “– Demo presentation of our conversational AI assistant!”
- – Presentations at SPIE 2023We have multiple presentations at SPIE 2023, and six papersContinue reading “– Presentations at SPIE 2023”
- – A paper is accepted in Nature, digital medicine. Congratulations to the team!Our paper has been accepted for publication in Nature, digitalContinue reading “– A paper is accepted in Nature, digital medicine. Congratulations to the team!”
- – Congratulations on being nominated for the 2022 Donald M. and Janet C. Barnard Fellowship!
- – One paper is accepted in ICASSP 2022, track of Machine Learning. Thanks to our team!Our paper is accepted in ICASSP 2022, track of MachineContinue reading “– One paper is accepted in ICASSP 2022, track of Machine Learning. Thanks to our team!”
- – Two papers accepted in Defense and Commercial Sensing, 2022! Congrats!
- – Four papers are accepted to SPIE. Congratulations to our team!
- – Our participation in NSF Research program on AR/VRCongratulations for being admitted to the NSF Research Traineeship (NRT)Continue reading “– Our participation in NSF Research program on AR/VR”
- – Codes for our Nature paperCode for nonlinear large-scale Nonlinear Granger causality is now online.Continue reading “– Codes for our Nature paper”
- – A new paper on causal learning is accepted for publication in EUSIPCO 2021Our paper titled “Leveraging Pre-Images to Discover Nonlinear Relationships inContinue reading “– A new paper on causal learning is accepted for publication in EUSIPCO 2021”
- – New paper accepted to Scientific Reports, NatureA paper titled “Large-scale nonlinear Granger causality for inferring directedContinue reading “– New paper accepted to Scientific Reports, Nature”
- – New paper on COVID-19 analysis using AI is accepted to Processings of SPIE! Congrats!A paper related to COVID-19 effects on the US health-careContinue reading “– New paper on COVID-19 analysis using AI is accepted to Processings of SPIE! Congrats!”
- – New papers are accepted to be published in SPIE 2021.Thanks to our team, Prof. Dr. Wismuller, Dr. Abidin (Nvidia),Continue reading “– New papers are accepted to be published in SPIE 2021.”
- – VLSI Ising machines for NP-complete optimizations – ISCAS 2020We have uploaded the video of our ISCAS 2020 publication,Continue reading “– VLSI Ising machines for NP-complete optimizations – ISCAS 2020”
- – Ithaca’s waterfallsSocial distancing is essential during the pandemic. So let’s practiceContinue reading “– Ithaca’s waterfalls”
About Me
Hello! I am a third-year Ph.D. student in the Electrical and Computer Engineering Department at the University of Rochester, working under the direction of my advisor, Dr. Axel Wismuller. My current research interest includes computer vision, graphical models, causal learning, and big data. Computer vision is a broad area in which I am working on image and video understanding using causal methods. I usually apply our methods to medical data obtained through MR and EEG. Furthermore, I show that our methods can be applied to climatology data and finance. Previously, I earned an MS in Electrical Engineering from the University of Rochester in 2021.
More About Me
Mohammad Ali Vosoughi 
Mohammad Ali Vosoughi 
Mohammad Ali Vosoughi 
Mohammad Ali Vosoughi
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This website is related to M. Ali Vosoughi (محمد علی وثوقی)
Ali Vosoughi 