Ming-Chun Huang

Director of SAIL & mHealth @CWRU

Associate Professor, Electrical, Computer, and Systems Engineering at Case Western Reserve University
Associate Professor, Electrical, Computer, and Systems Engineering at the Case Western Reserve University
Adjunct Associate Professor Biomedical Engineering Taipei Medical University, Taipei, Taiwan
Visiting Professor, National Taipei University of Nursing and Health Science, Taipei, Taiwan
Investigator, Department of Veterans Affairs Medical Center (VAMC) Advanced Platform Technology (APT)

RESEARCH INTERESTS

Internet-of-Things, Smart Health, Machine Learning and Informatics, Motion and Physiological Signal Sensing

Yi Cai

Yi Cai received his B.S. degree in Applied Physics from Beijing Institute of Technology, China in 2014 and he is currently a PHD Student in the EECS department at Case Western Reserve University. His research interests are in the field of mobile health, data analysis and wearable sensor network. He is also the git repository manager of Sensing and Interaction Laboratory (SAIL). He has been focusing on facial expression recognition study based on machine learning algorithm with wearable EMG sensors. And he also worked on worker activity related data analyzing combining with image segmentation and data mining. At present, he is involved in the NSF’s Intelligent Prosthetic Socket Project, focusing on the experiments simulation and hardware system design.

RESEARCH INTERESTS

mobile health, data analysis and wearable sensor network.

Huan Chen

Huan Chen received the B.S. degree in Physics from Shanghai Jiaotong University, Shanghai, China in 2015 and the M.S.degree with the Electrical Engineering and Computer Science Department at Case Western Reserve University. He is currently pursuing the Ph.D. degree at Case Western Reserve University. His current research interests include developing insole-based applications including path-tracking and distributed deep-learning system. Previously, he has involved in human activity recognition and cell image data pre-processing.

RESEARCH INTERESTS

Application Development, Deep Learning.

Xiaoye Qian

Xiaoye Qian received the B.S. degree in Automation from China University of Petroleum, Beijing, China. He is currently pursuing his Ph.D. degree in Electrical Engineering and Computer Science Department at Case Western Reserve University. His current research fields are in data mining, distributed deep learning on the micogrid and disease detection. At present, he is focusing on distributed deep learning on the melanoma detection. He takes charge of image processing and data analysis.

RESEARCH INTERESTS

Data mining, deep learning

Gabriel Maguire

RESEARCH INTERESTS

Deep Learning, Image Processing, Wearable IoT.

Zetao Zhu

Zetao Zhu received his B.S. degree in Electrical Engineering from Zhejiang Sci-Tech University, China in 016. He is now a graduate student in EECS department of Case Western Reserve University. He joined SAIL LAB in September, 2018. Currently, he is involved in projects on gait analysis research with smart insole, which is using gait parameters collected from the insole and realize indoor path tracking function. And now he is also developing pain marking app in Android and HoloLens platforms.

RESEARCH INTERESTS

Gait analysis, wearable system design, Mobile health, Internet of things (IOT), computer visualization.

Devansh Gupta

Devansh Gupta received his B.S. degree in Computer Science from Jaypee Institute of Information Technology(JIIT), India in 2017. He is currently pursuing an M.S degree in Computer Science with the Electrical Engineering and Computer Science Department at Case Western Reserve University. He has many project experiences in machine learning, deep learning, and medical data processing. His previous projects include implementing Deep Learning modules with ROS and Speech Recognition with Natural Language processing for different spoken languages.

Chun-Han Chen (Taipei Medical University)

Jui-Lin Chang (Taipei Medical University)

Zi-Yin Hong (Taipei Medical University)

Golnoush Asaeikheybari

Golnoush Asaeikheybari received her B.Sc. degree in Electrical Engineering from Shahid Beheshti University, Iran in 2016. She joined SAIL in Aug. 2017. Her research focuses on building a personal health library by taking new big-data science approaches into account to make this library a place for users to store, manage, analyze and share their health information and receiving instructions according to their health conditions. Another research that she is involved in path2quit project and focuses on smoking cessation by mobile health via using MMS system.

RESEARCH INTERESTS

Machine learning, Deep learning, Image processing, IoT, Convex optimization.

Jiajie Hu (co-advised with Prof. Xiong Yu)

Jiajie Hu received the B.S. degree in Civil Engineering from Tianjin University (TJU), Tianjin, China in 2016 and He is currently pursuing the Ph.D. degree in Computer Engineering. His current research interests include exploring connected and automated vehicle technology and applications, using machine learning and deep learning methods for vehicle data analysis, and developing connected vehicle systems for safety purposes. He has involved in road condition monitoring and risky intersection identification using connected vehicle data.

RESEARCH INTERESTS

Connected & Automated Vehicles, Machine Learning/Deep Learning, Big Data Analysis, Computer Vision, Intelligent Transportation System, 3D Printing Technology.

Diliang Chen (Resume)

Diliang Chen received his B.S. degree in Electronic Information Engineering from Nanjing University of Posts and Telecommunications (NJUPT), China in 2011 and M.S. degree in Microelectronics and Solid State Electronics from Institute of Electronics, Chinese Academy of Sciences in 2015. He is currently a Ph.D student in the EECS department at Case Western Reserve University. His research focus is on gait analysis. He developed an insole shaped wearable gait analysis system for continuous gait parameters monitoring. At present, he is focusing on applying the continuous gait parameters acquired from insoles to assist abnormal gait diagnosis, slip prevention training, and work related musculoskeletal risk factors identification..

RESEARCH INTERESTS

Gait analysis, wearable system design, Mobile health, Internet of things (IOT)..

Ridaa Ali

Ridaa Ali is a pre-medical sophomore student at Case Western Reserve University pursuing a major in biomedical engineering and minors in Electrical Engineering and Computer Science, and Chemistry. She is passionate about health care and health care research. Currently, she is working on rehabilitative devices for Parkinson’s Disease oriented at alleviating tremors and freezing of gait; these devices are intended to sense freezing and trigger cues to overcome freezing of gait. She is exploring different methods and aspects to yield effective devices.

RESEARCH INTERESTS

Biomedical, Neural, Health Care

Shuxiang Zhu

Shuxiang Zhu (Robin) received the B.S. degree in Information Science from Southeast University, China in 2017. He is currently pursuing the M.S. degree with the Electrical Engineering and Computer Science Department at Case Western Reserve University. His current research interests include mobile health system, climate data analytics and prediction with machine learning methods and deep learning method on medical image processing. Previously, he has involved in B-ALL image classification challenge, ADAPT smart phone system and machine learning on typhoon classification project.

RESEARCH INTERESTS

image processing, machine learning, and mobile health.

Huiyi Cao

Huiyi Cao received her B.S. degree in Electronic Information Engineering from Shanghai University (SHU), China in 2017. She is currently pursuing the M.S degree in Computer Science with the Electrical Engineering and Computer Science Department at Case Western Reserve University. She has many project experiences in software development and data analysis. At present, she is focusing on indoor path tracking by using gait parameters collected from the insole. She also involves in the Vib-sensing project and helps to develop the lab website pages. She is working in IT Department - Data Engineering Team at Medical Mutual of Ohio as an internship between Jun 2019 - Dec 2019.

RESEARCH INTERESTS

Mobile Health (mHealth), data analysis, machine learning

Jianian Zheng

Jianian Zheng received his B.S. degree in Management and Systems of Information from Guangdong University of Technology (GDUT), China in 2017. He is currently pursuing the M.S. degree in Computer Science with the Electrical Engineering and Computer Science Department at Case Western Reserve University. He has many project experiences in machine learning, deep learning and medical data processing. His previous research is to discover predominant factors for mortality of weekend and weekday admission to the ICU. He and his teammates became Data Challenge Winning Team in IEEE JBHI with their findings. At present, he is working on quantifying the correlation between hearing sensitivity and balance ability. He also helps to develop the lab website pages. He is working in Part-Time Software Engineer at Yelp as an internship between Jun 2019 - Dec 2019.

RESEARCH INTERESTS

Data mining, machine learning, deep learning

Haotian Jiang (Resume)

Haotian Jiang received his B.S. degree in Electrical Engineering from Northwestern Polytechnical University (NWPU), China in 2014 and he is currently a PHD student majoring in Computer Engineering. His research interests lie in the area of mobile health, wearable sensor network, data visualization and analysis, deep learning on mobile platform and human action recognition. He joined applied research intern at NVIDIA Corp. during Feb 2019 - Aug 2019 and is highly interested in the positions of applied scientist, machine learning engineer and software engineer. He is willing to develop next generation mobile health systems and plans to finish his Ph. D. research work in Sensing and Interaction Laboratory (SAIL) at Case Western Reserve University in Fall 2019. He has plenty of research experience in early-stage development of mobile health systems, including traditional augmented reality system, emotion intelligence system and distributed deep learning system in mobile network.

RESEARCH INTERESTS

mobile health, wearable sensor network, data visualization and analysis, deep learning on mobile platform, augmented reality and human action recognition.

Menghan Liu

Menghan Liu graduated as a M.S. student in the EECS department at Case Western Reserve University in 2016. She is the first M.S graduation at SAIL@CWRU. She has contributed in 5 journal papers and 1 conference paper (3 first-author publications) and received a NSF travel award in CHASE'16 conference.

James Starkman

James Starkman received his undergraduate degree in Science in Engineering at CWRU. He was the first (undergraduate) student at SAIL@CWRU and he has contributed in 3 journal papers and 1 conference paper. And he continues his M.S degree at CWRU in 2017.

Jacob Cui

Jacob Cui received B.S.E degree from Case Western Reserve University in May 2016 majoring in Electrical Engineering and minoring in Computer Engineering with summa cum laude degree honor. He published one first-author paper and contributed in another research paper at SAIL@CWRU. After graduation, he became a Master’s student at Department of Computer and Information Science at University of Pennsylvania.

Xiao Zeng

Xiao (Steven) Zeng received dual degrees in computer science and marketing at CWRU. He has contributed in two research papers at SAIL@CWRU. He graduated in 2017 and continued his Master degree at University of California, Los Angeles.

Guanzhou Qu

Guanzhou (Eddie) Qu received B.S degree in computer science at Case Western Reserve University. He has contributed in two research papers at SAIL@CWRU. After graduation, he became a Master’s student at University of Pennsylvania.

Xiaoliang Zhang

Xiaoliang Zhang received the B.S. degree in electronic science and technology from University of Electronic Science and Technology of China, Chengdu, China. He is currently pursuing the M.S. degree in Computer Engineering with the Electrical Engineering and Computer Science Department at Case Western Reserve University. He has many experiences in wearable computing, data processing, human activity recognition by using deep learning algorithm, and data analysis. He developed a software system includes application design, human activity recognition by using deep learning method algorithm, and internet message service, to help people quit smoking. His current research interests include mobile health software application design, data mining, and big data feature extraction.

RESEARCH INTERESTS

Mobile health system, Wearable computing, and Data mining.

Alaa Badokhon

Alaa Badokhon graduated as a M.S. student in the EECS department at Case Western Reserve University in May 2017. He was an active member of the Embedded Systems lab in the department while collaborating his research into existing projects at SAIL@CWRU. Specifically, he has contributed in 2 journals and 2 conference papers, and contributed on some of the active projects at SAIL, including the Portable Gait Lab and and Intwine Connect BMS projects. Currently he is an R&D engineer at the National Center for Robotics at King Abdulaziz City for Science and Technology (KACST), Saudi Arabia.

RESEARCH INTERESTS

IoT Architectures, Blockchain, AI, Robotics and ROS

Jia Chen

Jia Chen received the B.E. degree in computer engineering from Northeastern University, MA, USA in 2015. She is currently pursuing the M.S. degree with the Electrical Engineering and Computer Science Department at Case Western Reserve University. Her current research interests include developing pain marking app in Android and Hololens platforms. Previously, she has involved in gait and balance analysis projects and ultrasound image processing project.

RESEARCH INTERESTS

Image processing, computer visualization, and wireless health.

Taiyu Chen

Taiyu Chen received his B.S degree in optoelectronic & information engineering from Nanjing University of Science and Technology (NJUST), China. He is currently a M.S. Student in the Electrical Engineering and Computer Science department at Case Western Reserve University. His previous research is to set up a smoking cessation system including motion data collection, gesture recognition, machine learning, mobile app design and RESTful web server application. He is currently working on melanoma recognition using image processing and machine learning.

RESEARCH INTERESTS

mobile health, machine learning

Justin Green

Justin Green is an undergraduate at Case Western Reserve University, pursuing a double major in Computer Science with a concentration in Artificial Intelligence and Electrical Engineering with a concentration in Computer Hardware. He is interested in a wide variety of research topics, from Computational Intelligence and Machine Learning to Embedded Systems and Internet of Things. He is currently working on deep learning architecture for mobile platforms.

RESEARCH INTERESTS

Artificial Neural Networks, Deep Learning, Internet of Things, Bioinformatics

Haoyou Cheng

Haoyou Cheng is an undergraduate at Case Western Reserve University, pursuing a major in Electrical Engineering with a concentration in biomedical applications. He is interested in smart health and data science. He is working with data analysis of wearable sensors. And he continues his M.S degree at CWRU in 2019.

RESEARCH INTERESTS

Mobile Health, signal processing, data mining