Haifeng Wang

Photo of Haifeng Wang
Assistant Professor, Electro-Mechanical Engineering Technology
Arbuckle Technology, 010
0002 ADMINISTRATION BLDG
NEW KENSINGTON, PA 15068

Dr. Haifeng Wang has received degrees of Doctor of Philosophy in Electrical Engineering (2014), Masters of Science in Control (2006) and Bachelors of Science in Electrical Engineering (2002). Currently, he is an IEEE member and IEEE Pittsburgh Section Executive and Administrative Committee Secretary. His expertise includes control system, power electronics, embedded system, image processing and machine learning.

Control science; Power electronics; Robotics; Machine learning;

Factory 4.0 Toolkit for Smart Manufacturing Training - July 26, 2021
Collaborator: Joseph Cuiffi

Bridging Learner Affect and Optimal Course Design through Dynamic Programming - November 1, 2020
Collaborators: Laura Cruz, Secondary Author; Makayla Shank, Student Author

A Multichannel Sequential Display LED Driver with Optimal Transient Performances and Efficiency via Synchronous Integral Control, IET Power Electronics - June 30, 2020
Collaborator: Tingshu Hu, Co-Author

AIOPS Prediction for Hard Drive Failures Based on Stacking Ensemble Model - January 28, 2020
Collaborator: haili zhang, Co-Author

Utilizing Imbalanced Data and Classification Cost Matrix to Predict Movie Preferences, International Journal of Artificial Intelligence and Applications - November 30, 2018

Movie Genre Preference Prediction Using Machine Learning for Customer-Based Information - February 27, 2018

Effects of rest time on equivalent circuit model for a li-ion battery - 2016
Collaborators: Mohammad Tahan, Author; Tingshu Hu, Author

Observer-based method for reduction of dc-link voltage ripple in two-stage boost inverters - 2014
Collaborators: Fidegnon Fassinou, Author; Lalitha Devarakonda, Author; Tingshu Hu, Author

Parameter identification of circuit models for lead-acid batteries under non-zero initial conditions - 2014
Collaborators: Lalitha Devarakonda, Author; Tingshu Hu, Author

Control design for robust tracking and smooth transition in power systems with battery/supercapacitor hybrid energy storage devices, Journal of Power Sources - 2014

Ph D, University of Massachusetts Lowell

MS, Shandong University

BS, Shandong University