Haifeng Wang, PH.D.
Opening
Dr. Wang's lab is looking for highly motivated Ph.D. students for research. Financial support will be provided for the position to pursue research in the area of operations research and machine learning. Students with engineering background are preferred.
If interested, please contact Dr. Wang with your detailed CV, a statement of research interests, GRE, and TOEFL (if any).
Recent News
- Congrats! Our research paper entitled "A Wavelet-based Multi-dimensional Temporal Recurrent Neural Network for Stencil Printing Performance Prediction" has been accepted by Robotics and Computer-Integrated Manufacturing journal.
2020- Congrats! Our research "Leveraging Immersive Virtual Reality Technology to Perform Nurse Training in the State of Mississippi" is funded by Mississippi Department of Employment Security. (Co-PI)
- Congrats! Our research paper entitled "Brain Functional Connectivity Pattern Recognition for Attention-deficit/hyperactivity Disorder Diagnosis" has been accepted and invited to the Machine Learning and Artificial Intelligence in Bioinformatics and Medical Informatics (MABM 2020) workshop at IEEE International Conference on Bioinformatics & Biomedicine (BIBM 2020).
- Good news! Our research paper "A Bayesian Optimization-Based Augmented Attention Neural Network for Efficient Rice Diseases Detection" has been invited for the presentation at the 15th INFORMS Virtual Workshop on Data Mining and Decision Analytics.
- Congrats! Our conference paper (first author Yibin Wang, PhD student) entitled "An Unsupervised Domain Adaptation Model for Cell Detection on Stimulated Ramen Scattering Images" is selected as one of the four finalists for the Data Analytics and Information System (DAIS) Division Best Paper Competition at the IISE annual conference in November at New Orleans.
- Congrats! Our conference paper (first author Christian Zamiela, Master student) was awarded 2nd place for oral presentation on 36th Southern Biomedical Engineering Conference (SBEC). The paper titled “A Comparative Study on Data Mining Techniques for Breast Cancer Survivability Prediction.”
- Congrats! Our journal paper was accepted by Neurocomputing. Title: A 1-norm regularized linear programming nonparallel hyperplane support vector machine for binary classification problems.
2019- Dr. Wang is selected as one of the six panelists for the 2019 INFORMS Academic Job Search panel. The panel aims to provide prospective job-seekers with advice to help them make an informed career choice, avoid pitfalls, and prepare for the next step in their academic job search.
- Congrats! Our journal paper related to deep learning-based 3D medical image analysis is published online in IISE Transactions on Healthcare Systems Engineering in September 2019. Title: A deep separable neural network for human tissue identification in three-dimensional optical coherence tomography images
- Congrats! Our journal paper related to real-time stencil printing process optimization is published online in IEEE Transactions on Components, Packaging and Manufacturing Technology in August 2019. Title: Real-time stencil printing process optimization using a hybrid multi-layer online sequential extreme learning machine and evolutionary search approach
- Dr. Wang joined the department of Industrial and Systems Engineering as an assistant professor at Mississippi State University in August, 2019. A great pleasure to be part of MSU-ISE family. Check us: https://www.ise.msstate.edu