BIO
I am a senior Ph.D. Candidate in Computer Science and Engineering at the University at Buffalo, under the supervision of Prof. Wenyao Xu, with a focus on high-impact real-world applications of innovative Internet-of-Things (IoT). My research specifically targets the fields of healthcare, smart health, embedded/mobile sensing, and related intelligent analytics/computing, aiming to bridge the gap between theoretical data analysis and practical implementation to improve efficiency, safety, and accuracy.
E-Mail: weibo at buffalo dot edu
EDUCATION
- 2021.01 - present: Ph.D. Candidate, Computer Science and Engineering, University at Buffalo.
- Supervisor: Prof. Wenyao Xu
- 2019.01 – 2020.05: Master, Information Systems Management, Washington University in St. Louis.
- 2010.09 – 2014.06: Bachelor, International Business, Shanghai University of Finance and Economics.
PUBLICATION
- Wei Bo, Suzanne S. Sullivan, Xiaoyu Zhang, Mingchen Gao, Wenyao Xu, “A Telemedicine Analytic Framework for Fully and Semi-automatic Alzheimer’s Disease Screening using Clock Drawing Test”, JBHI
- Wei Bo, Matthew Rubino, Wenyao Xu, “A Mispronunciation-Based Voice-Omics Representation Framework for Screening Speech and Language Impairments in Children”, ICHI 2024
- Huijuan Zhang, Wei Bo, Wenyao Xu, Jun Xia, "Deep-learning-enhanced Three-dimensional Photoacoustic Tomography of Human Breast", Frontiers in Optics (FiO), October 2022 [pdf]
- Suzanne Sullivan, Wei Bo, Chin-Shang Li, Wenyao Xu, Yu-Ping Chang, "Predicting Hospice Transitions in Dementia Caregiving Dyads: An Exploratory Machine Learning Approach", GSA Innovation in Age (GSA), Volume 6, Issue 6, August 2022 [pdf]
- Huijuan Zhang, Wei Bo, Anthony Di Spirito, Chuqin Huang, Nikhila Nyayapathi, Emily Zheng, Tri Vu, Yiyang Gong, Junjie Yao, Wenyao Xu, Jun Xia, "Deep-E: A Fully-Dense Neural Network for Improving the Elevation Resolution in Linear-array-based Photoacoustic Tomography", IEEE Transactions on Medical Imaging (TMI), Volume 41, Issue 5, May 2022, Pages 1279 - 1288 [pdf]
- Wei Bo, Jeanne Langan, Lora Cavuoto, Sutanuka Bhattacharjya, Heamchand Subryan, Ming-Chun Huang, Wenyao Xu, "A Progressive Prediction Model Towards Home-based Stroke Rehabilitation Programs", Elsevier Smart Health (SH), Volume 23, March 2022 [pdf]
PRESENTATION & POSTER
- Wei Bo, Matthew Rubino, Wenyao Xu, “A Mispronunciation-Based Voice-Omics Representation Framework for Screening Speech and Language Impairments in Children”, IEEE/ACM ICHI 2024 (Orlando, FL, USA) (Invited Talk)
- Wei Bo, “Summary of Speech Annotation and Transcription Enhancer (SATE)”, AI4ExceptionalEd - Year 1 Site Visit, Mar 2024 (Buffalo, NY, USA) (Invited Talk)
- Wei Bo, Matthew Rubino, Wenyao Xu, “A Mispronunciation-Based Voice-Omics Representation Framework for Screening Speech and Language Impairments in Children”, AI4ExceptionalEd - Year 1 Site Visit, Mar 2024 (Buffalo, NY, USA) (Poster)
- Wei Bo, Alexander Gherardi, Wenyao Xu, “NutraNurture: Nutritional Confidence During Pregnancy”, Panasci TEC Competition, Feb 2024 (Buffalo, NY, USA) (Pitch Talk)
- Wei Bo, Harshavardhan Baira Reddy, Meiyan Lin, Wenyao Xu, “Investigate Digital Voice Biomarkers of Alzheimer Disease and Related Dementias”, UB VPHS Aging Symposium, Dec 2023 (Buffalo, NY, USA) (Poster)
- Wei Bo, Timothy Scholtz, Wenyao Xu, “Speech to Text based Word and Phoneme Level: Transforming Speech Diagnosis: The Power of ASR Technologies”, SEAS LSAMP/REU Research Symposium, Aug 2023 (Buffalo, NY, USA) (Poster)
- Wei Bo, Dasang Dolma, Kevin Zhao, Korey Liu, Nicholas Salvemini, Wenyao Xu, “Non-Speech Sound Detection in Speech Recognition: Investigating methods to enhance the detection of non-speech sounds during automated speech recognition processes”, SEAS LSAMP/REU Research Symposium, Aug 2023 (Buffalo, NY, USA) (Poster)
- Wei Bo, Justin Amstadt, Joy Lee, Wenyao Xu, “Mispronunciation Detection And Diagnosis: Identifying deviations in speech from target pronunciation and analyzing the characteristics of these mispronunciations”, SEAS LSAMP/REU Research Symposium, Aug 2023 (Buffalo, NY, USA) (Poster)
- Wei Bo, Jeanne Langan, Lora Cavuoto, Sutanuka Bhattacharjya, Heamchand Subryan, Ming-Chun Huang, Wenyao Xu, “A Progressive Prediction Model Towards Homebased Stroke Rehabilitation Programs”, IEEE/ACM CHASE 2021 (Washington D.C., USA) (Invited Talk)
COMPETITION
- Wei Bo, Harry Lin, Johnson Schwede, Wenyao Xu. PREPARE: Pioneering Research for Early Prediction of Alzheimer's and Related Dementias EUREKA Challenge, Phase 1.
- Wei Bo, Alexander Gherardi, Sharon Cryan, Wenyao Xu. Panasci Technology Entrepreneurship Competition (Panasci TEC) 2024, round 1 and round 2.
TEACHING
- TA, CSE 574 Introduction to Machine Learning, Fall 2022
- TA, CSE 560: Data Models and Query Languages, Spring 2022
- TA, CSE 521: Operating Systems, Fall 2021
- TA, CSE 111: Introduction to Quantitative Analysis and Reasoning with Computing, Spring 2021
PROFESSIONAL ACTIVITIES
- Reviewer of IEEE BHI 2024
- Reviewer of Elsevier Smart Health 2024
- Reviewer of IEEE BSN 2023
- Reviewer of Elsevier Smart Health 2023