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 and the Army Research Office (ARO) YIP Award. 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 and artificial intelligence, smart grids
Other Focus Areas

High-dimensional data analytics, optimization, power system monitoring

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 64 indexed publications in the subjects of Computer Science, Engineering, and Energy.

Orlem L.D. Santos, Daniel Dotta, Meng Wang, Joe H. Chow, Ildemar C. Decker
International Journal of Electrical Power and Energy Systems
, 136
, 2022
.
Hongkang Li, Shuai Zhang, Meng Wang
2022 56th Annual Conference on Information Sciences and Systems, CISS 2022
, 2022
, pp.37-42
.
Ming Yi, Meng Wang
IEEE Transactions on Power Systems
, 37
, 2022
, pp.764-775
.
Ehsan Hallaji, Roozbeh Razavi-Far, Meng Wang, Mehrdad Saif, Bruce Fardanesh
IEEE Transactions on Information Forensics and Security
, 2022
.
Shuai Zhang, Meng Wang, Jinjun Xiong, Sijia Liu, Pin Yu Chen
IEEE Transactions on Neural Networks and Learning Systems
, 32
, 2021
, pp.2622-2635
.
Wenting Li, Ming Yi, Meng Wang, Yishen Wang, Di Shi, Zhiwei Wang
IEEE Transactions on Power Systems
, 36
, 2021
, pp.2023-2034
.
Shuai Zhang, Meng Wang, Sijia Liu, Pin Yu Chen, Jinjun Xiong
Advances in Neural Information Processing Systems
, 4
, 2021
, pp.2707-2720
.
Meng Wang, Joe H. Chow, Denis Osipov, Stavros Konstantinopoulos, Shuai Zhang, Evangelos Farantatos, Mahendra Patel
IEEE Open Access Journal of Power and Energy
, 8
, 2021
, pp.532-542
.
Ren Wang, Meng Wang, Jinjun Xiong
Eurasip Journal on Advances in Signal Processing
, 2020
, 2020
.
Ren Wang, Meng Wang, Jinjun Xiong
Eurasip Journal on Advances in Signal Processing
, 2020
, 2020
.

View All Scopus Publications

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