Tools & Dataset

Tools & Systems

  • SMT-Learner (GitHub · Hugging Face) — self-supervised transformer foundation model for physiological and behavioral time-series; masked-reconstruction pretraining, linear probing, and cross-cohort/cross-species transfer evaluation.
  • motorlearning.games — HIPAA-compliant, IRB-approved multimodal data platform: iPad (Swift) and Raspberry Pi clients, Python/Django backend, AWS + PostgreSQL, ETL pipelines, and clinician-facing analytics dashboards. Deployed to 200+ participants across two NIH studies and the Northwestern C-STAR project.
  • malURLBox — LLM-assisted dynamic-sandbox analyzer (97.3% accuracy) for healthcare-targeted phishing detection, distributed as a Microsoft Outlook Extension.
  • HIPAAChecker.health — static-analysis and LLM tooling for HIPAA security and privacy assessment of mHealth applications (NIH STTR Phase I+II).
  • National Clinical Data Warehouse (Bangladesh) — privacy-preserving warehouse integrating de-identified records from 220 healthcare systems, harmonized to OMOP CDM, FHIR, HL7, LOINC, SNOMED CT, and ICD-10 (Elsevier Smart Health Best Paper Award, 2022).
  • NBA-Search — open-source NBA analytics platform (Python, Flask); I contributed K-Means and KNN clustering for player-similarity analysis and statistical comparison tools for player performance and team analytics.
  • vInternship.org — virtual-internship platform providing structured, benchmarked software and research experience for students.
  • Analysis pipelines for EEG, IMU, EMG, and coherence (CMC) processing, plus visualization scripts — see github.com/RaihanSabique.

Datasets

Motor Skill Learning in Young Children Born Preterm
Contributors: Samuel Nemanich · Md. Raihan Mia · Cassandra Kemmel-Bartletti
Date created: 2023-07-17 11:48 AM · Last updated: 2025-07-22 01:11 PM
Identifier: DOI 10.17605/OSF.IO/W4R2F
Category: Project
The primary hypothesis of this proposal is that delays in motor development in preterm children are attributed to impaired motor learning. We also hypothesize that in addition to problems with unimanual coordination, bimanual coordination is affected in preterm children based on two findings. First, CC volume and integrity are reduced in preterm infants and adolescents, and are associated with poor motor development. Second, hand preference (and related lateralization of motor cortical systems) is thought to be important for optimal unimanual and bimanual movement.
Game-based Mobile-Health Quantification of Upper-Limb Motor Performance in Children with Hemiparetic Cerebral Palsy
Contributors: Cassandra Kemmel-Bartletti · Md Raihan Mia · Samuel Nemanich
Date created: 2025-04-01 09:36 AM · Last updated: 2025-06-03 02:08 PM
Identifier: DOI 10.17605/OSF.IO/74DJM