Research


Real-Time Decoding and Control of Psychiatric Disorders (July 2014-present)

Neuroscience Statistics Research Lab, Massachusetts Institute of Technology, Cambridge, MA

Characterizing psychiatric disorders and cognitive state estimation from continuous and binary measures in different brain regions

● Designing a pulse controller for controlling several psychiatric disorders with the ultimate goal of designing brain-machine interface architectures for decoding neuropsychiatric state 
   of the brain and restoring the natural state using pulsatile control

 

A Point Process Investigation of Mirror Neurons (June 2014-present)

Neuroscience Statistics Research Lab, Massachusetts Institute of Technology, Cambridge, MA

Decoding kinematics from mirror neurons during observation of goal-directed action

● Investigating connectivity of mirror neurons

● Investigating changes in the spiking activity of mirror neurons as a function of various factors

 

Real-Time Control of Cortisol Deficiency (June 2014-present)

Neuroscience Statistics Research Lab and Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA

Developing pulse control algorithms for real-time control of cortisol deficiency    

The ultimate goal is to implement the controller in real-time in rodents                   

 

System Identification of Pulsatile Cortisol Secretion (September 2008 to May 2014)

Laboratory for Information and Decision Systems and Neuroscience Statistics Research Lab, Massachusetts Institute of Technology, Cambridge, MA

Modeled cortisol secretion using a control feedback model

● Developed an algorithm for deconvolution of pulsatile cortisol serum levels using compressed sensing

● Quantified pituitary-adrenal dynamics and developed an algorithm for deconvolution of concurrent cortisol and adrenocorticotropic hormone data using compressed sensing

● Proposed a physiologically plausible optimization formulation for cortisol secretion

 

Parameter Estimation and Synchronization of a Novel Spiking Neuron Model (September 2008 to May 2011)

Laboratory for Information and Decision Systems, and Neuroscience Statistics Research Lab, Massachusetts Institute of Technology, Cambridge, MA

● Proposed an extension to the FitzHugh-Nagumo (FHN) model to generate spiking activities that previously could only be obtained by much more complex models

             ● Devised an algorithm for estimating the spiking threshold in the classical & time-varying FHN models

             ● Studied synchronization of coupled FHN neurons

 

Entrainment of Weakly Coupled Oscillators by External Drive (May 2007 to December 2007)

Institute for Research in Electronics and Applied Physics, University of Maryland, College Park, MD

            ● Participated inTraining and Research Experiences in Nonlinear Dynamics,” a Research Experience for Undergraduates program funded by NSF

Modeled effects of external drive in Suprachiasmatic Nucleus using MATLAB

Found boundary conditions for the Kuramoto Model including an external drive

 

Spectrum Optimization of Handheld Resonance Analyzer (Summer 2006)

Department of Materials Science, Drexel University, Philadelphia, PA.

● Participated in Drexel Research Experience in Advanced Materials, a Research Experience for Undergraduates program funded by NSF

● Designed and performed experiments, analyzed data, and wrote technical reports to obtain a new method for early detection of health issues such as breast cancer  
   using a handheld Resonance Analyzer

 


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