啤军泽

University of Houston Machine Learning and Healthcare Lab 2023 Fall Fully Funded PhD Position

Application Deadline: 2023/3/15 (early application is encouraged)
Position: one or two fully funded PhD position(s) in Machine Learning/Deep Learning

Dr. Renjie Hu's group in the Machine Learning and Healthcare Lab at the University of Houston is now hiring Ph.D. students with RAship and financial support. Dr. Hu is looking for self-motivated PhD students to work on machine learning and deep learning. Dr. Hu's group works on developing new machine learning (ML) and deep learning (DL) algorithms and advancing the research in healthcare and other fields with ML/DL. Recently he is focusing on building trust AI and explainable AI for healthcare professionals. The research interests of Dr.Hu's group include:
•        Machine Learning/Deep Learning.
•        Dimensionality reduction and Visualization.
•        Explainable AI/ML.
•        Missing/Incomplete data in healthcare.
•        Multi-modal data in healthcare.
•        Anomaly detection.
•        Neural architecture search.
•        Federated learning.
•        Nurse's fatigue, sleeping quality and medication errors.
•        Skin cancer.
•        EEG.
•        Traffic and car crash predictions.

Requirements for the position:
•        Bachelor's or Master's degree in Computer Science/Engineering, Electrical Engineering, or any equivalent degree.
•        Solid background in statistics, linear algebra or optimization.
•        Strong programming skills in Python, C, C++ or MATLAB.
•        Strong interests or past experience in machine learning.
•        GRE score.
•        TOEFL/IELTS scores.
•        Self-motivated, persistent, and mentally stable.
If you are interested, please send copies of your CV, undergraduate and graduate transcripts, publications (if any), GRE and TOEFL or IELTS scores to:
rhu7@uh.edu

Dr. Renjie Hu received his B.S. degree in Management Information Systems from Beijing University of Posts and Telecommunications (BUPT), China. He holds a M.S. degree in Operations Research from Columbia University. His Ph.D. degree is in Industrial Engineering from the University of Iowa, with a focus on Machine Learning. Dr. Hu is an active member of INFORMS, IISE, and IEEE. He has won the best paper awards at the International Conference on Extreme Learning Machines and at the INFORMS. Dr. Hu was an invited presenter at the IISE and ELM conferences. He serves as the reviewer of the IEEE Computational Intelligence Magazine, Neurocomputing Journal, Neural Computing and Applications Journal, Journal of Computational Design and Engineering and ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. He is the Review Editor of Machine Learning and Artificial Intelligence and the Program Committee Member of the International Conference on Extreme Learning Machines.

The University of Houston (UH) is a public research university in Houston, Texas. Founded in 1927, UH is a member of the University of Houston System and the third-largest university in Texas with over 47,000 students. Its campus, which is primarily in southeast Houston, spans 894 acres (3.62 km2), with the inclusion of its Sugar Land and Katy sites. The university is classified as an "R1: Doctoral Universities – Very high research activity."

Houston is the most populous city in Texas, the most populous city in the Southern United States, the fourth-most populous city in the United States, and the sixth-most populous city in North America, with a population of 2,304,580 in 2020. Located in Southeast Texas near Galveston Bay and the Gulf of Mexico, it is the seat and largest city of Harris County and the principal city of the Greater Houston metropolitan area, which is the fifth-most populous metropolitan statistical area in the United States and the second-most populous in Texas after Dallas–Fort Worth. Houston is the southeast anchor of the greater megaregion known as the Texas Triangle. Houston is the seat of the Texas Medical Center, which is the largest medical center in the world, and describes itself as containing the world's largest concentration of research and healthcare institutions.