Gregory Abowd

Gregory Dominic Abowd (born September 12, 1964) is a computer scientist best known for his work in ubiquitous computing, software engineering, and technologies for autism. He currently serves as the Dean of the College of Engineering and Professor of Electrical and Computer Engineering at Northeastern University. Previously he was the J.Z. Liang Professor in the School of Interactive Computing at the Georgia Institute of Technology, where he joined the faculty in 1994. Provided by Wikipedia
Showing 1 - 5 results of 5 for search 'Gregory D. Abowd', query time: 0.03s Refine Results
  1. 1
    Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables

    Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables by Hyeokhyen Kwon, Gregory D. Abowd, Thomas Plötz

    Published 2021-12-01
    Get full text
    Article
  2. 2
    Empirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses

    Empirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses by Vedant Das Swain, Jiajia Xie, Jiajia Xie, Maanit Madan, Sonia Sargolzaei, James Cai, Munmun De Choudhury, Gregory D. Abowd, Gregory D. Abowd, Lauren N. Steimle, B. Aditya Prakash

    Published 2023-05-01
    Get full text
    Article
  3. 3
    Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype

    Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype by Dong Whi Yoo, Sindhu Kiranmai Ernala, Bahador Saket, Domino Weir, Elizabeth Arenare, Asra F Ali, Anna R Van Meter, Michael L Birnbaum, Gregory D Abowd, Munmun De Choudhury

    Published 2021-11-01
    Get full text
    Article
  4. 4
    Leveraging WiFi network logs to infer student collocation and its relationship with academic performance

    Leveraging WiFi network logs to infer student collocation and its relationship with academic performance by Vedant Das Swain, Hyeokhyen Kwon, Sonia Sargolzaei, Bahador Saket, Mehrab Bin Morshed, Kathy Tran, Devashru Patel, Yexin Tian, Joshua Philipose, Yulai Cui, Thomas Plötz, Munmun De Choudhury, Gregory D. Abowd

    Published 2023-07-01
    Get full text
    Article
  5. 5
    Flexible computational photodetectors for self-powered activity sensing

    Flexible computational photodetectors for self-powered activity sensing by Dingtian Zhang, Canek Fuentes-Hernandez, Raaghesh Vijayan, Yang Zhang, Yunzhi Li, Jung Wook Park, Yiyang Wang, Yuhui Zhao, Nivedita Arora, Ali Mirzazadeh, Youngwook Do, Tingyu Cheng, Saiganesh Swaminathan, Thad Starner, Trisha L. Andrew, Gregory D. Abowd

    Published 2022-01-01
    Get full text
    Article

Search Tools: