Meng Wang

I am currently an Associate Professor with the Department of Electrical, Computer and Systems Engineering at Rensselaer Polytechnic Institute (RPI), where I joined in December 2012. I obtained my Ph.D. in the School of Electrical and Computer Engineering at Cornell University in August 2012. I received the B.E. degree (with honors) and the M.S. degree (with honors) in Electrical Engineering from Tsinghua University, China, in 2005 and 2007 respectively. Prior to joining RPI, I was a postdoc research scholar at Duke University from August 2012 to December 2012. My research areas include machine learning and data analytics, energy systems, signal processing, and optimization. I am a recipient of the Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) Award and the Army Research Office (ARO) Young Investigator Program (YIP) Award. At Rensselaer, I received School of Engineering Research Excellence Award. Please see my CV if you want to know more about me.

Openings

Postdoc position: I am looking to host a postdoc with background in machine learning, signal processing, and optimization. The expected starting time is January 2021 but negotiable. Please contact me along with your CV if you are interested.  

Prospective graduate students: I am looking for highly motivated PhD students with a strong mathematical background to join my research group for Spring/Fall 2021. If interested, please apply and mention my name in your application.  

Recent News

October 2020: Wenting and Ming's equally contributed paper "Real-time Energy Disaggregation at Substations with Behind-the-Meter Solar Generation" is accepted to IEEE Transactions on Power Systems. A great start for Ming.  

June 2020: Ren's paper "Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases" is accepted to European Conference on Computer Vision 2020.  

June 2020: Shuai Zhang's paper "Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case" is accepted to International Conference on Machine Learning (ICML) 2020.  

May 2020: I am appointed as an Associate Editor of IEEE Transactions on Smart Grid.  

April 2020: Ren Wang's paper "Achieve Data Privacy and Clustering Accuracy Simultaneously Through Quantized Data Recovery" is accepted to EURASIP Journal on Advances in Signal Processing.  

Feb 2020: Paper "Synchrophasor Missing Data Recovery via Data-Driven Filtering. Accepted to IEEE Transactions on Smart Grids" accepted to IEEE Transactions on Smart Grid.  

December 2019: Wenting successfully defended her thesis and will join Los Alamos National Lab as a Postdoc Associate. Congratulations, Dr. Li!  

October 2019: I received the 2020 Air Force Office for Scientific Research (AFOSR) Young Investigator Program (YIP) award.  

September 2019: Shuai received Rensselaer's Founders Award of Excellence. Congratulations to Shuai!  

September 2019: Ren received Rensselaer's Founders Award of Excellence. Congratulations to Ren!  

August 2019: Yingshuai's paper "Modeless Streaming Synchrophasor Data Recovery in Nonlinear Systems" is accepted to IEEE Transactions on Power Systems. Congrats to Yingshuai!  

August 2019: Hongkang Li and Orlem Lima Dos Santos joined our group. Welcome!  

July 2019: Paper with Yang Cao, Andrew Thompson and Yao Xie is accepted to EURASIP Journal on Advances in Signal Processing.  

May 2019: Wenting's paper "Real-time Line Outage Localization and PMU Placement in Power Systems through Convolutional Neural Networks" is accepted to IEEE Transactions on Power Systems. Congrats to Wenting!  

April 2019: Our paper "Identifying Overlapping Successive Events Using a Shallow Convolutional Neural Network" is accepted to IEEE Transactions on Power Systems. Congrats to Wenting!  

April 2019: Ren Wang is selected as one of IBM/RPI AI Horizons Scholars. Congrats to Ren!  

February 2019: Our paper "Correction of Corrupted Columns in Robust Matrix Completion by Exploiting the Hankel Structure" is accepted to IEEE Transactions on Signal Processing. Congrats to Shuai!  

December 2018: Ren's paper is published on IEEE JSTSP-Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. One figure is selected to print on the cover page of the issue.  

November 2018: Yingshuai successfully defended his Ph.D. thesis. He will join Petuum, Inc as a senior software engineer. Congrats, Dr. Hao!  

September 2018: Wenting Li won Rensselaer's Founders Award of Excellence. Congratulations to Wenting!  

August 2018: Our paper "Data Recovery and Subspace Clustering from Quantized and Corrupted Measurements" is accepted to IEEE Journal of Selected Topics in Signal Processing, Special Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. Congrats to Ren!

June 2018: Our paper "Model-less Data Quality Improvement of Streaming Synchrophasor Measurements by Exploiting the Low-Rank Hankel Structure" is accepted to IEEE Transactions on Power Systems. Congrats to Yingshuai!

April 2018: I received Rensselaer School of Engineering Research Excellence Award.

March 2018: Our paper "Correction of Simultaneous Bad Measurements by Exploiting the Low-rank Hankel Structure" is accepted to IEEE International Symposium on Information Theory (ISIT) 2018. Congrats to Shuai!