Meng Wang

About

Meng Wang has been with the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI) since Dec. 2012. Her research areas involve machine learning and artificial intelligence, high-dimensional data analytics, power system monitoring, signal processing, and optimization methods. She is a recipient of the Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) Award in 2019 and the Army Research Office (ARO) YIP Award in 2017. At Rensselaer, she received the School of Engineering Research Excellence Award.  She is an Associate Editor of IEEE Transactions on Smart Grid and a Guest Editor of IEEE Journal of Selected Topics in Signal Processing (JSTSP)- Special Issue on Signal and Information Processing for Critical Infrastructures.

Education & Training

Duke University, Durham, NC. Electrical and Computer Engineering, Postdoctoral Researcher, 2012.

Cornell University, Ithaca, NY.   Electrical and Computer Engineering, Ph.D., 2012.

Tsinghua University, Beijing, China. Electrical Engineering, M.Sc. (Hons), 2007.

Tsinghua University, Beijing, China. Electrical Engineering, B.Sc. (Hons), 2005

Research

Meng Wang's research interests include theory and applications of machine learning and artificial intelligence. Please see here for her research group and her Google Scholar page for the publication list.

Primary Research Focus
Machine learning, deep learning, optimization, and data science
Other Focus Areas

Smart grids

Teaching

ECSE 2110 Electrical Energy Systems

ECSE 2410 Signals and Systems

ECSE 4530 Digital Signal Processing

ECSE 4130 EPE Lab

ECSE 6964 Compressed Sensing and Its Applications

Recognition

Awards & Honors
  1. James M. Tien ’66 Early Career Award and Grant for Faculty, Rensselaer Polytechnic Institute, May 2022.
  2. Young Investigator Program (YIP) Award, Air Force Office of Scientific Research (AFOSR), October 2019.
  3. IEEE Transactions on Smart Grid Best Reviewer Award for 2018, January 2019.
  4. Faculty Research Excellence Award (Junior Faculty), School of Engineering, Rensselaer Polytechnic Institute, April 2018.
  5. Young Investigator Program (YIP) Award, Army Research Office, September 2017.
  6. Visiting Faculty Research Program Award, Air Force Research Laboratory, Summer 2015.
  7. Paper selected as the runner-up of the Best Paper in Electric Energy Systems Track of Hawaii International Conference on System Sciences 2015, January 2015.
  8. Paper selected as one of the Best Papers in IEEE Power & Energy Society General Meeting 2014, July 2014.

Publications

The following is a selection of recent publications in Scopus. Meng Wang has 74 indexed publications in the subjects of Computer Science, Engineering, Energy.

Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin Yu Chen
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
, 2024
.
Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin Yu Chen
Proceedings of Machine Learning Research
, 235
, 2024
, pp.28734-28783
.
Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin Yu Chen
Proceedings of Machine Learning Research
, 235
, 2024
, pp.28784-28829
.
Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin Yu Chen, Tianyi Chen, Meng Wang
Proceedings of Machine Learning Research
, 235
, 2024
, pp.58897-58934
.
Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin Yu Chen, Christopher Carothers
Proceedings of Machine Learning Research
, 235
, 2024
, pp.8815-8847
.
Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin Yu Chen
IEEE Journal on Selected Topics in Signal Processing
, 18
, 2024
, pp.216-231
.
Ming Yi, Meng Wang, Tianqi Hong, Dongbo Zhao
IEEE Transactions on Power Systems
, 39
, 2024
, pp.2198-2208
.
Yating Zhou, Meng Wang
IEEE Transactions on Power Systems
, 2024
.
Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin Yu Chen
Proceedings of Machine Learning Research
, 202
, 2023
, pp.6074-6114
.
Orlem L.D. Santos, Daniel Dotta, Meng Wang, Joe H. Chow, Ildemar C. Decker
International Journal of Electrical Power and Energy Systems
, 136
, 2022
.

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