Dakuo Wang
Associate Professor
Interdisciplinary With CAMD
Boston
Dakuo Wang
Associate Professor
Interdisciplinary With CAMD
Boston
Associate Professor
Interdisciplinary With CAMD
Boston
Associate Professor
Interdisciplinary With CAMD
Boston
Associate Professor
Interdisciplinary With CAMD
Boston
Associate Professor
Interdisciplinary With CAMD
Boston
Dakuo Wang is an associate professor at the Khoury College of Computer Sciences at Northeastern University. He earned his bachelor’s in computer science from Beijing University of Technology, his two master’s degrees in electrical engineering and computer and information sciences from UC Irvine, and his PhD in informatics from UC Irvine.
Wang has been the chair of multiple ACM Conferences and Committees and has published in multiple journals and received several awards: “The Goal-oriented Autonomous Dialogue System”, RPI-IBM AI Research Collaboration (PI with Tomek Strzalkowski $125,000) 2022 IBM Corporate Technical Awards on “AutoAI”, IBM. 175/350,000 2021 Outstanding Technical Achievement Award “Leadership in Automating the AI Lifecycle”, IBM Research. 16/260 2020 Outstanding Technical Achievement Award “Author Workbench”, IBM Research. 16/260 2020 “Human-in-the-loop Automated Machine Learning”, MIT-IBM Watson AI Lab (PI with David Karger $150,000) 2019 ACM Conference on Human Factors in Computing Systems (CHI), Early Career Consortium ($2,000) 2017 ACM Conference on Human Factors in Computing Systems (CHI), Doctoral Consortium ($2,000) 2016 ACM Conference on Computer-Supported Cooperative Work (CSCW), Doctoral Consortium ($2,000) 2016 Conference, Doctoral Consortium ($1,500) 2016 Center for Organizational Research Grant ($1,000) 2014 — 2015.
Prior to joining Northeastern, he was a visiting scholar at Stanford University and worked in the MIT-IBM Watson AI Lab.
Wang is an ACM Distinguished Speaker and is invited to give 10 talks around the world annually. He also holds more than 60 patents.
Dakuo Wang is an associate professor at the Khoury College of Computer Sciences at Northeastern University. He earned his bachelor’s in computer science from Beijing University of Technology, his two master’s degrees in electrical engineering and computer and information sciences from UC Irvine, and his PhD in informatics from UC Irvine.
Wang has been the chair of multiple ACM Conferences and Committees and has published in multiple journals and received several awards: “The Goal-oriented Autonomous Dialogue System”, RPI-IBM AI Research Collaboration (PI with Tomek Strzalkowski $125,000) 2022 IBM Corporate Technical Awards on “AutoAI”, IBM. 175/350,000 2021 Outstanding Technical Achievement Award “Leadership in Automating the AI Lifecycle”, IBM Research. 16/260 2020 Outstanding Technical Achievement Award “Author Workbench”, IBM Research. 16/260 2020 “Human-in-the-loop Automated Machine Learning”, MIT-IBM Watson AI Lab (PI with David Karger $150,000) 2019 ACM Conference on Human Factors in Computing Systems (CHI), Early Career Consortium ($2,000) 2017 ACM Conference on Human Factors in Computing Systems (CHI), Doctoral Consortium ($2,000) 2016 ACM Conference on Computer-Supported Cooperative Work (CSCW), Doctoral Consortium ($2,000) 2016 Conference, Doctoral Consortium ($1,500) 2016 Center for Organizational Research Grant ($1,000) 2014 — 2015.
Prior to joining Northeastern, he was a visiting scholar at Stanford University and worked in the MIT-IBM Watson AI Lab.
Wang is an ACM Distinguished Speaker and is invited to give 10 talks around the world annually. He also holds more than 60 patents.