- Neural dynamics and brain function
- stochastic dynamics and bifurcation
- Gene Regulatory Network Analysis
- Indoor and Outdoor Localization Technologies
- Neuroscience and Neuropharmacology Research
- Bluetooth and Wireless Communication Technologies
- Context-Aware Activity Recognition Systems
- Nonlinear Dynamics and Pattern Formation
- Genetic Neurodegenerative Diseases
- ECG Monitoring and Analysis
Emory University
2023-2025
New Jersey Institute of Technology
2022-2024
ABSTRACT Bluetooth low energy (BLE)‐based indoor localization has been extensively researched due to its cost‐effectiveness, power consumption, and ubiquity. Despite these advantages, the variability of received signal strength indicator (RSSI) measurements, influenced by physical obstacles, human presence, electronic interference, poses a significant challenge accurate localization. In this work, we present an optimised method enhance accuracy utilising multiple BLE beacons in radio...
Spatial navigation patterns in indoor space usage can reveal important cues about the cognitive health of participants. In this work, we present a low-cost, scalable, open-source edge computing system using Bluetooth low energy (BLE) beacons for tracking movements large, 1700 m2 facility used to carry out therapeutic activities participants with mild impairment (MCI). The is instrumented 39 systems, along an on-premise fog server. BLE beacon, which signals are received and analyzed by...
Abstract Alzheimer’s disease (AD) is believed to occur when abnormal amounts of the proteins amyloid beta and tau aggregate in brain, resulting a progressive loss neuronal function. Hippocampal neurons transgenic mice with amyloidopathy or tauopathy exhibit altered intrinsic excitability properties. We used deep hybrid modeling (DeepHM), recently developed parameter inference technique that combines learning biophysical modeling, map experimental data recorded from hippocampal CA1 AD...
Resonance and synchronized rhythm are significant phenomena observed in dynamical systems nature, particularly biological contexts. These can either enhance or disrupt system functioning. Numerous examples illustrate the necessity for organs within human body to maintain their rhythmic patterns proper operation. For instance, brain, desynchronized electrical activities contribute neurodegenerative conditions like Huntington’s disease. In this paper, we utilize well-established Hodgkin–Huxley...
Several distinct entrainment patterns can occur in the FitzHugh-Nagumo (FHN) model under external periodic forcing. Investigating FHN different types of forcing reveals existence multiple disconnected 1:1 segments for constant, low enough values input amplitude when unforced system is vicinity a Hopf bifurcation. This structure termed polyglot to distinguish it from single region (monoglot) typically observed Arnold tongue diagrams. The emergence then explained using phase-plane analysis and...
Abstract Resonance and synchronized rhythm are important phenomena can be either constructive or destructive in dynamical systems the nature, specifically biology. There many examples showing that human’s body organs must maintain their order to function properly. For instance, brain, desynchronized electrical activities lead neurodegenerative disorders such as Huntington’s disease. In this paper, we adopt a well known conductance based neuronal model Hodgkin-Huxley describing propagation of...
Abstract Alzheimer’s disease (AD) is believed to occur when abnormal amounts of the proteins amyloid beta and tau aggregate in brain, resulting a progressive loss neuronal function. Hippocampal neurons transgenic mice with amyloidopathy or tauopathy exhibit altered intrinsic excitability properties. We introduce novel parameter inference technique, deep hybrid modeling (DeepHM), that combines learning biophysical map experimental data recorded from hippocampal CA1 AD age-matched wildtype...