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

• Xiaoyu Zhang, Zhengxiong Li, Yanda Cheng, Chenhan Xu, Chuqin Huang, Emma Zhang, Ye Zhan, Wei Bo, Jun Xia, Wenyao Xu. mmSkin: An Over-gauze Wound Assessment System using Radio Frequency Technologies. IoTJ'25
• Xiaoyu Zhang, Zhengxiong Li, Yanda Cheng, Chenhan Xu, Chuqin Huang, Emma Zhang, Ye Zhan, Wei Bo, Jun Xia, Wenyao Xu. Through-dressing Wound Monitoring Based on The mmWave Sensor. HumanSys'25
• 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 [pdf]
• Wei Bo, Matthew Rubino, Wenyao Xu, “A Mispronunciation-Based Voice-Omics Representation Framework for Screening Speech and Language Impairments in Children”, ICHI 2024 [pdf]
• 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, Wenyao Xu, “From Embedded Sensing to Intelligent Analytics: Converging Cyber‐Physical Innovations for Early Disease Screening and Rehabilitation”, NSF CPS Rising Star Workshop 2025 (Nashville, TN, USA) (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

• Shuwei Hou, Wei Bo, Lingyu Guo, Alison Hendricks, Wenyao Xu. Panasci Technology Entrepreneurship Competition (Panasci TEC) Feb-Apr 2025, Finalist.
• Wenyao Xu, Wei Bo, Ye Zhan, Rui Li. 2025 NIA Start-Up Challenge, Dec 2024. (Contributor, OralScan)
• Wei Bo, Harry Lin, Aditya Challamarad, Wenyao Xu. 2025 NIA Start-Up Challenge, Dec 2024. (PI, ADRD)
• Puru Soni, Kritarth Dandapat, Alexander Gherardi, Wei Bo, Rui Li, Wenyao Xu. Russell L. Agrusa CSE Student Innovation Competition, UB, Nov 2024. (Team Member, OralScan)
• Puru Soni, Kritarth Dandapat, Alexander Gherardi, Wei Bo, Rui Li, Wenyao Xu. Aging Innovations Challenge, UB, Nov 2024. (Team Member, OralScan)
• Wei Bo, Alexander Gherardi, Kritarth Dandapat, Puru Soni, Rui Li, Wenyao Xu. Community Champions for Disability Health Challenge, Oct 2024. (PI, OralScan)
• Wei Bo, Ayush Srivastava, Anarghya Das, Puru Soni. Startup Boot Camp, UB, Sep 2024. (Team Leader, VocalLens)
• 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.

AWARD

• NSF CPS Rising Star
• UB CSE PhD Research Award, 2024
• 1st Place Award in NIA PREPARE Challenge Phase 1, winning $50,000 funding, 2024

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 ACM Transactions on Computing for Healthcare 2025
• Reviewer of IEEE BHI 2024
• Reviewer of Elsevier Smart Health 2024
• Reviewer of IEEE BSN 2023
• Reviewer of Elsevier Smart Health 2023