Career Profile
I’m an applied AI researcher whos work spans natural language processing, human computer interaction, serious games, and under-resourced language technologies. My recent projects focus on AI-ready data, fall-risk prediction, AI-HCI communication, LLM integration, AI in Healthcare and educational applications of NLP. I’ve produced numerous peer-reviewed publications, datasets, software tools, and interdisciplinary collaborations across government, academia, and industry.
Selected publications
AI/NLP
- Synthetic Gait Video Dataset Generation for Privacy-Preserving Gait Disorder Analysis —
- Using an Electronic Resume Analyzer Portal (e-RAP) to Improve College Graduates Employability —
- Creating Hybrid Dependency Parsers for Syntax-Based MT —
- Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation —
- Systematic Evaluation of Convergence Criteria in Iterative Training for NLP —
HCI
- Improving Communication in the Metaverse Using 3D Space for LLM and Autocomplete Integration —
- Tangible VR Spaces for Exploring Algorithm Complexity —
- Measuring Users Attitudinal and Behavioral Responses to Persuasive Communication Techniques in Human Robot Interaction —
- A Reduced QWERTY Keyboard for Mobile Text Entry —
Experiences
Teaching and curriculum development across undergraduate, masters, and doctoral programs. Courses taught include Machine Learning, NLP, HCI, mobile apps, software engineering, data structures, scripting, software architecture, and advanced web development.
Taught software engineering, mobile apps, web development, and senior capstone. Helped lead ABET accreditation.
Researched dependency parsing, ensemble learning, and semi-supervised methods for under-resourced languages within a European research training program.
Consulting in machine learning, NLP, and applied data science for nonprofit, academic, and governmental contexts.
- Designed analytics pipelines and prototypes
- Delivered end-to-end codebases and research-driven solutions
Designed and maintained enterprise applications using ASP, Visual Basic, and Java J2EE frameworks.
- Converted mainframe SAS statistical systems into J2EE architectures
- Led cross-department requirements analysis and prototype planning
- Ensured consistency and standardization of software requirements
Worked on mobile systems testing and customer support documentation.
- Developed compatibility matrices and technical troubleshooting guides
- Collaborated with clients to recreate and diagnose system issues
Created collaborative annotation systems (WebBANC, BioDEAL, PackPlay) and conducted research in semantic constraints, minority language corpora, and MT systems.
Projects
Selected applied AI, NLP, and data-centric projects spanning health, education, human-computer interaction, and corpus creation.
AI Health Equity & Aging Lab Tools
- End-to-end ML pipelines and datasets for fall risk, gait analysis, and cognitive screening in aging and health equity contexts.
ResumeHop
- NLP-driven resume and job-posting alignment system that extracts requirements, compares candidate profiles, and surfaces actionable feedback.
FactRep
- Machine learning resource and pipeline for tracking and analyzing COVID-19 misinformation across news and social media.
Collaborative Annotation Platforms (WebBANC, BioDEAL, PackPlay)
- Human-in-the-loop and game-based frameworks for creating high-quality annotated corpora at scale for NLP and biomedical applications.
Political & Social Media Corpora (100 Day Corpus, Votter)
- Specialized corpora for studying political agendas and social polling language, enabling downstream sentiment, topic, and stance analysis.
Awards & Honors
Selected awards, competitive grants, fellowships, and recognitions earned across applied AI research, academic leadership, and interdisciplinary innovation.
NIH AIM-AHEAD Cognitive Screening Grant (Co-Investigator)
- AI-driven speech-based cognitive assessment for bilingual Spanish–English speakers.
NIH AIM-AHEAD Falls Prevention Grant (Principal Investigator)
- Machine learning models for fall-risk prediction and aging-in-place technology.
NIH AIM-AHEAD AI Health Equity Lab Grant (Principal Investigator)
- Created an AI lab focused on aging, health equity, and community-centered datasets.
CCI Cyber-Disaster Resilience Grant
- Developed frameworks for assessing cyber impacts during natural disasters.
Innovation Award – College of Business, Innovation, Leadership & Technology
- Recognized for leading innovative, high-impact computing research initiatives.
Outstanding Teacher of the Year – Marymount University
- Awarded for excellence in teaching, mentorship, and curriculum innovation.
Rose Bente Lee SBA Endowment Award
- Funded the creation of the Data Fusion Center and shared research datasets.
University Research Grant – Westfield State University
- Supported corpus creation work and linguistic annotation standards.
Marie Curie Early Stage Researcher Fellowship
- EU-funded research training in dependency parsing and ensemble ML methods.
Fulbright Fellowship – Iceland
- Funded research on Icelandic language technologies.
Outstanding Graduate Teaching Assistant Award – NCSU
- Recognition for excellence in higher education instruction.
IEEE CSIDC World Finalist (3rd place globally)
- Highest-ranked U.S. finalist for the prestigious international engineering competition.
Upsilon Pi Epsilon Honor Society
- Inducted for academic excellence in computing and information disciplines.
Publications
Peer reviewed papers, conference proceedings, datasets, and book chapters across natural language processing, machine learning, HCI, computational social science, and AI health research.
Innovation in Aging, Volume 9 (Supplement 2), 2025
IEEE International Conference on Data Mining Workshop
International Conference on Computer Human Interaction Research and Applications (CHIRA)
Empirical Economics Letters, 24(9), 11-20 (2025)
IEEE Frontiers in Education (FIE)
IEEE Frontiers in Education (FIE)
IEEE Frontiers in Education (FIE)
Journal of Chemical Education
Journal of Computing Sciences in Colleges
Journal of Computing Sciences in Colleges
IEEE Frontiers in Education
ACM/IEEE Human-Robot Interaction
Journal of Computing Sciences in Colleges
Journal of Computing Sciences in Colleges
Journal of Applied Business Research, 36(3) (2020)
SEDSI
Information Systems Education Journal (ISEDJ)
EDSIG Conference
Journal of Computing Sciences in Colleges, Volume 34, Issue 3
In: Theory and Applications of Natural Language Processing — Hybrid Approaches to Machine Translation (Springer), 2016; pp. 161-190
ACL Joint Workshop on Statistical Parsing and Semantic Processing
Proceedings of the Sixth Workshop on Statistical Machine Translation (WMT), 2011 — Edinburgh, Scotland
Proceedings of the ACL 2011 Student Session — Portland, OR, USA (2011)
EACL Workshop on Innovative Hybrid Approaches
Proceedings of the Second Workshop on Hybrid Approaches to Translation (HyTra), 2013 — Sofia, Bulgaria
LREC Workshop on Collaborative Resource Development
WDS Proceedings of Contributed Papers
Linguistic Annotation Workshop (LAW IV)
Nordic Conference on Computational Linguistics (NODALIDA)
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference (FLAIRS 2009)
BMC Medical Informatics and Decision Making
ACM CHI Conference on Human Factors in Computing Systems
Practical Graph Mining with R (Chapter 4), Chapman & Hall/CRC (2013); editors: Samatova, Hendrix, Jenkins, Padmanabhan, Chakraborty
Practical Graph Mining with R (Chapter 5), Chapman & Hall/CRC (2013); editors: Samatova, Hendrix, Jenkins, Padmanabhan, Chakraborty
34th Annual Frontiers in Education (FIE), Savannah, GA, 2004; pp. F4G-1-5 Vol. 2