BIO
I am a Ph.D. Graduate 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 - 2025.08: Ph.D., 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
- Chhabria, Jatin, Ritik Verma, Sreyasee Das Bhattacharjee, Wei Bo, and Wenyao Xu. "AFairDNet: Actively Empowering Fair Multisensor Emotion Recognition with Chain-of-Thought on Diffused Biosignals." In IEEE-EMBS International Conference on Body Sensor Networks 2025.
- Gherardi, Alexander, Wei Bo, Ahmet Demirbas, Ye Zhan, and Wenyao Xu. "Hyperspectral reconstruction for mobile diabetic foot blood perfusion monitoring." BMC Artificial Intelligence 1, no. 1 (2025): 10.
- Xiaoyu Zhang, Chuhui Liu, Yanda Cheng, Zhengxiong Li, Chenhan Xu, Chuqin Huang, Ye Zhan, Wei Bo, Jun Xia, and Wenyao Xu. "A Comprehensive Survey of Research Trends in mmWave Technologies for Medical Applications." Sensors 25, no. 12 (2025): 3706.
- 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, Shuwei Hou, Varun Shijo, Chuihui Liu, Long Cao, Wenyao Xu, American Speech-Language-Hearing Association (ASHA) Convention, Nov 2025 (Washington D.C., USA) (Booth)
- Wei Bo, Shuwei Hou, Anarghya Das, Alexander Gherardi, Chuihui Liu, Wenyao Xu, AI in Healthcare 2.0: Opportunities, Challenges, Next Steps, Sep 2025 (Buffalo, NY, USA) (Booth)
- Wei Bo, Shuwei Hou, Wenyao Xu, “SATE: an Inclusive AI-Powered Speech Annotation and Transcription Enhancer Tool”, UB Celebration of Student Academic Excellence (Buffalo, NY, USA) (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
- Wei Bo, Shuwei Hou, Wenyao Xu. NIH Replication Prize Track 2: Replication Exemplars, Dec 2025 (Team Leader, SATE)
- Wei Bo, Aditya Challamarad, Chi Mai, Wenyao Xu. NIH Replication Prize Track 1: Replication Ideas, Dec 2025 (Team Leader, ADRD)
- Wei Bo, Anarghya Das, Wenyao Xu. FuzeHub Commercialization Competition, Aug 2025. (Team Member, mRehab)
- Wei Bo, Alexander Gherardi, Kritarth Dandapat, Puru Soni, Rui Li, Wenyao Xu. IAA AppXcelerate Application, Jan-Mar 2025 (PI, Round 1 and Round 2, OralScan)
- 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
- 1st Place Award in UB Panasci TEC 2025, winning $75,000 funding and in-kind service, 2024
- 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 IEEE International Conference on Healthcare Informatics (ICHI) 2025
- Reviewer of IEEE Internet of Things Journal (IOTJ) 2025
- Reviewer of Discover Neuroscience 2025
- Reviewer of Scientific Reports 2025
- Reviewer of ACM Transactions on Computing for Healthcare 2025
- Reviewer of IEEE International Conference on Biomedical and Health Informatics (BHI) 2024-2025
- Reviewer of Elsevier Smart Health 2023-2025
- Reviewer of IEEE-EMBS International Conference on Body Sensor Networks (BSN) 2023-2025