Service

• Editor:
  • Guest Associate Editor in Machine Learning and Artificial Intelligence at Frontiers, Research Topic Editor for Sustainable Deep neural Network-based Solutions: https://www.frontiersin.org/research-topics/19854/sustainable-deep-neural-network-based-solutions
  • Guest Editor for Special Issue “Efficiency of Modern Data Centers” (EMDC) in IoT, https://www.mdpi.com/journal/IoT/special_issues/EMDC2020#
• Chair:
  • Co-Chair of the Second International Workshop on the Efficiency of Modern Data Centers (EMDC), Colocated with the Web Conference (WebConf) 2022,
  • Co-Chair of the First International Workshop on the Efficiency of Modern Data Centers (EMDC), Colocated with the Web Conference (WebConf) 2021, https://sites.google.com/view/emdc
  • ICDCS’18 Vice-Chair of “Distributed Green Computing and Energy Management” track
• Technical program committee:
  • TheWebConf (WWW), Poster & Demo Track, 2022.
  • IEEE International Conference on Distributed Computing Systems (ICDCS), 2020.
  • IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2020.
  • TheWebConf (WWW), Poster Track, 2020.
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), 2019
  • IEEE International Conference on Autonomic Computing (ICAC), 2019.
  • IEEE International Conference on Distributed Computing Systems (ICDCS), 2017.
  • IEEE International Conference on Autonomic Computing (ICAC), 2017.
  • International Conference on Computer Communications and Networks (ICCCN), 2017.
  • IEEE International Conference on Distributed Computing Systems (ICDCS), 2016.
  • IEEE International Conference on Autonomic Computing (ICAC), 2016.
  • International Conference on Computer Communications and Networks (ICCCN), 2016.
  • The Forth International Workshop on Efficient Data Center System (EDCS), held in conjunction with 43rd International Symposium on Computer Architecture (ISCA), 2016.
• Past Intern Students:
  • Fuxun Yu (‘19,’20 George Mason): WACV’22, ICCAD’21, TCAD’21, KDD’21, ArchEdge’20, DATE’20, V4AS@CVPR’20
  • Dimitrios Stamoulis (‘18 CMU): JSTSP’20, ECMLPKDD’19, ODML-CDNNR’19 Best Paper Award (collocated with ICML’19)
  • Mengting Wan (’16,’17 UCSD): WWW’17, CIKM’18
  • Iyswarya Narayanan (’15 Penn State): Systor’16 Best Student Paper Award, Sigmetrics’16 Poster
  • Yang Li (’14 CMU): HPCA’16
• Phd Thesis Committee
  • Neda Nasiriani, Penn State University, Cloud Provider’s Energy-efficient Operation and Effective Pricing Design, thesis defense date: May 4th, 2018.
  • Dimitrios Stamoulis, CMU, Hardware-aware AutoML for Efficient Deep Learning Applications, thesis defense date: Jan. 23, 2020.
  • Yang Li, CMU, Deep Learning Models for Forecasting Graph-based Time-dependent Data, thesis defense date: Dec. 23, 2020.
  • Fuxun Yu, George Mason University, Towards Large-Scale and High-Performance Deep Learning Computing, thesis defense date: May 5, 2022.