Dr Vaishak Belle

Honors

  • Presidential address, British Science Festival (Exeter), 2023.
  • Second place (with Team), Argument Mining Task, 2022
  • Machine learning journal best student paper award, International Conference on Inductive Logic Programming, 2019
  • Best paper, The Fourth International Workshop on Declarative Learning Based Programming at IJCAI, 2019
  • Royal Society University Research Fellowship, 2019
  • Member of Royal Society of Edinburgh Young Academy of Scotland, 2018
  • Faculty Fellow, Alan Turing Institute, 2017
  • Early Career Spotlight, 26th International Joint Conference on Artificial Intelligence, 2017
  • Chancellor’s fellowship, 2016
  • Microsoft Best paper award, 31st Conference on Uncertainty in Artificial Intelligence, 2015
  • Machine learning journal best student paper award, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015
  • FWO postdoctoral fellowship, 2015
  • Silver medal, Kurt Goedel Society, 2014
  • Finalist, Kurt Goedel Fellowship, 2014
  • Young scientist attendee, Heidelberg Laureate Forum, 2014
  • Second place (with Team), RoboCup@Home league, International RoboCup Competition, 2008
  • First place (with Team), RoboCup@Home league, RoboCup German Open Competition, 2008
  • Bonn-Aachen International Center scholarship, 2010
  • DFG Graduate school (GK 643) scholarship, 2008
  • EUMI Scholarship, 2005
  • Melton Foundation fellowship, 2002

Consultancy

I am consulting and collaborating with a number of industry and educational partners, including the NatWest Group, on explainable AI


Funding

  • Enabling a responsible AI ecosystem, AHRC, with Shannon Vallor and Ewa Luger, 2022
  • The New Real – Trust and acceptance in networked, online experiences to enable and support post-COVID19 recovery, AHRC, with Drew Hemment, 2021
  • Governance node, UKRI Trustworthy Autonomous Systems Programme, with Ram, 2020
  • Efficient Inference and Learning in Probabilistic Logical Models, Royal Society University Research Fellowship, 2019
  • Explainable AI for credit risk, EPSRC IAA (with Raffaella Calabrese), 2019
  • Probabilistic property-based testing, Industry supported studentship (with James Cheney), 2018
  • Towards Explainable and Robust Statistical AI: A Symbolic Approach, EPSRC First Grant, 2018

Service

  • An archive of scientific events that I organized and/or participated in can be found here
  • Co-Chair of KR-ML special track, KR 2021
  • Co-Organizer of Dagstuhl seminar on trustworthy AI, Dagstuhl 2021
  • Co-Chair of Doctoral Consortium, KR 2020
  • Co-Chair of Young researchers symposium, CODS-COMAD 2020
  • Chair for IJCAI-17 Sister Conference Best Paper Track
  • Senior/ Program Committee Member/ Reviewer (not updated regularly): AAAI 2020 (SPC), IJCAI 2020 (SPC), ICLR 2020, UAI 2019, NeurIPS 2019, ICML 2019, AAMAS 2019 (SPC), AAAI 2019 (SPC), ICLR 2019, ECML PKDD 2018, NIPS 2018, AAAI 2018, ICLR 2018, AAMAS 2018 (SPC), JAIR, IJCAI 2018, AAMAS 2017, ECML PKDD 2017, TPLP, IJCAI 2017, AIJ, NIPS 2017, ECML PKDD 2016, ECAI 2016, IJCAI 2016, AAMAS 2016, AAAI 2016, KR 2016, ECML 2015, IJCAI 2015, AAMAS 2015, AAAI 2015, Commonsense 2015, Cognitive Robotics 2014, ECAI 2014, AIJ, IJCAI 2013, Commonsense 2013, IJCAI 2011, Nonmonotonic Reasoning 2010, ACM SIGACT