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Faculty News
January 27, 2022
Dr. Stephen Lee and Dr. Daniel Mosse receive Best Paper Runner Up at BuildSys 2021
Along with Dr. Yoones Rezaei, CS faculty Dr. Stephen Lee and Dr. Daniel Mosse received a Best Paper Runner Up award from BuildSys 2021 for their paper "Deep Reinforcement Learning for Energy-efficient Parking Video Analytics Platform."
December 13, 2021
Dr. Malihe Alikhani and collaborators awarded DARPA grant
Dr. Malihe Alikhani and collaborators awarded DARPA grant for their project developing AI moderators for social media.
December 13, 2021
Dr. Xiaowei Jia awarded best paper at the 2021 International Conference on Data Mining
Dr. Xiaowei Jia and collaborators were awarded the best paper award at the 2021 IEEE International Conference on Data Mining (IEEE ICDM).
December 10, 2021
December 10 Colloquium "Multi-scale Data Integration and Causal Inference for Biological and Medical Research" -- Takis Benos
Dr. Takis Benos (Department of Computational and Systems Biology, Department of Biomedical Informatics, Department of Computer Science) will deliver a CS colloquium talk at 2 p.m. on December 10th.
December 3, 2021
December 3 Colloquium "Aging Scientists and Slowed Advance" -- Lingfei Wu
Lingfei Wu is a computational social scientist interested in discovering how innovation is made in Science and Technology and effective team mechanisms that accelerate this process. He will deliver a CS Colloquium talk on Friday, December 3rd at 2 p.m.
November 19, 2021
AI Tools Help Increase Access to Justice
Pitt professors Kevin Ashley and Diane Litman are working to make legal information more accessible through an artificial intelligence framework summarizing essential language in cases. The two have received a $600,000 grant from the joint Amazon and National Science Foundation Fairness in Artificial Intelligence program to support their project, Using AI to Increase Fairness by Improving Access to Justice.
November 19, 2021
November 19 Colloquium "Causal inference using deep-learning variable selection identifies and incorporates direct and indirect causalities in complex biological systems" -- H.J. Park
Dr. Hyun Jung (H.J.) Park (Graduate School of Public Health) will deliver a CS Colloqium talk on November 19th at 2 p.m.
October 19, 2021
Dr. Adriana Kovashka to deliver SCI Dean's Department spotlight talk
As part of the new Dean's Department and Program Spotlight Series, Dr. Adriana Kovashka (Assistant Professor, CS) will deliver a talk entitled "Reasoning about Complex Media from Weak Multi-modal Supervision" on October 19th.
October 12, 2021
Dr. Adriana Kovashka’s NSF CAREER project aims to lower the cost of AI learning
Dr. Adriana Kovashka received a National Science Foundation (NSF) CAREER award in May 2021. Dr. Kovashka teaches deep learning at the undergraduate level, and several graduate courses, including computer vision, both of which involve forms of machine learning. The project for which she was awarded the CAREER grant, focuses on object detection in images.
September 24, 2021
Dr. Malihe Alikhani awarded best theme paper at ACL 2021
Dr. Malihe Alikhani (Assistant Professor, CS) was awarded the best theme paper at the Annual Meeting of the Association for Computational Linguistics (ACL 2021)
September 24, 2021
Dr. Malihe Alikhani, Chloe Ciora and Nur Iren receive best paper award at INLG 2021
In conjunction with undergraduate students Chloe Ciora and Nur Iren, Dr. Malihe Alikhani (Assistant Professor, CS) was awarded the best paper award at the 14th International Conference on Natural Language Generation.
July 1, 2021
Mingda Zhang, Dr. Adrianna Kovashka, and Dr. Rebecca Hwa, receive best paper award at ECV 2021
Pitt CS graduate student Mingda Zhang, assistant professor Adriana Kovashka, and professor Rebecca Hwa received the best paper award at the Efficient Deep Learning for Computer Vision CVPR Workshop (ECV 2021) for their work in collaboration with Drs. Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, and Li Zhang, from Google Research
June 23, 2021
New machine learning methods could improve environmental predictions
Dr. Xiaowei Jia is leading a team of researchers from the University of Minnesota, the University of Pittsburgh, and the U.S. Geological Survey in developing a new machine-learning method that will provide more accurate stream and river temperature predictions, even when little data is available.
June 22, 2021
Chrysanthis, Costa, and their collaborators receive best demo award at IEEE MDM 2021 conference
A team led by Dr. Panos K. Chrysanthis and Dr. Constantinos Costa received the Best Demo Award at the 22nd IEEE International Conference on Mobile Data Management (MDM 2021) for their work entitled "HealthDist: A Context, Location and Preference-Aware System for Safe Navigation"
June 21, 2021
Costa, Chrysanthis, and their collaborators receive best paper award at IEEE MDM 2021 conference
A team led by Dr. Constantinos Costa and Dr. Panos K. Chrysanthis received the Best Industry and Application Paper Award at the 22nd IEEE International Conference on Mobile Data Management (MDM 2021) for their paper entitled "A Context, Location and Preference-Aware System for Safe Pedestrian Mobility".