Engineering Medical

Nitant V. Karkhanis 716-***-**** ********@*****.***

**** *********** *** ******* *** York 14221 linkedin.com/in/nitantkarkhanis

SUMMARY

Master’s graduate in Biomedical Engineering with 2 years of experience in Research and Development conducting benchtop testing of 3D printed cardiovascular phantoms. Interfaced sensors with LabVIEW which were used for flow studies and medical device testing. Familiar with PCB schematics, circuit design, troubleshooting techniques, Six Sigma, DMAIC. Always interested in learning and working to overcome my weaknesses.

EDUCATION

University at Buffalo, The State University of New York June 2018

Master of Science, Biomedical Engineering

CGPA: 3.93/4.0

University of Mumbai, India May 2015

Bachelor of Engineering, Biomedical Engineering

Percentage: 67%

EXPERIENCE

Canon Stroke and Vascular Research Center, University at Buffalo Jan 2017- Present

Research Assistant

Interfacing Sensors (Pressure, Flow, Force and Torque) with LabVIEW for developing test systems.

Conducting experiments and analyzing the data using LabVIEW and Excel.

Conducting Flow simulation studies on 3D printed Patient-specific Vascular Phantoms using Pressure and Flow Sensors to understand the effects of diseases on the mechanical parameters of flow.

PROJECTS

Department of Biomedical Engineering, University at Buffalo Jan 2017- Apr 2018

Lumped Parameter model (LM0) of an Idealized Vessel Phantom

Hemodynamics is a way to explain the physics involved with flow of blood in a vessel.

Physical parameters (diameter, elasticity, etc.) of a vessel can be model as an RC electrical circuit

Pressure and flow sensors were connected to 3D printed vessel model and the phase difference, reactance and resistance were measured using LabVIEW.

Department of Biomedical Engineering, University at Buffalo Dec 2017- Jan 2018

Development of System to record the Force and Torque in a 3D printed neurovascular phantom

Developed a code for using a 6 axis Force and Torque sensor to display real-time Force and torque measurements as a doctor guides various endovascular devices through a 3D printed phantom.

This can be used to assess various vascular devices based on the way they behave in the vasculature.

Department of Biomedical Engineering, University at Buffalo Apr 2017- May 2017

System to calculate the Young's Modulus of the 3D printing Material

Designed a system with a stepper motor and force sensor to measure Young’s Modulus of various 3D printing materials.

Leveraged serial communication for controlling the motor using LabVIEW to exert force and detect force using sensors to calculate Young’s Modulus.

Department of Biomedical Engineering, University at Buffalo Jan 2017- Mar 2017

Development of Smart Patient Specific Vascular Phantoms and Method for 3D Pressure Mapping using Embedded Sensors in 3D Printed Models

Modelling and simulation of blood flow in patient specific phantoms enhances understanding of vascular diseases.

Developed a LabVIEW program to measure the pressure in the 3D printed Patient Specific Vascular Phantoms.

Code acquires the voltage from 4 pressure sensors which is converted to corresponding pressure values and generates a 3D color map of pressure onto the patient geometry.

Department of Biomedical Engineering, University at Mumbai June 2014 - May 2015

Transmission of Incubator Parameters

Designed circuits to interface sensors (Temperature and Respiration) to NI DAQ system and also a control circuit for controlling the temperature.

Using LabVIEW, signals from sensors were acquired, processed and displayed. It was also able to control the temperature and send an ‘Alert’ message to a phone using a GSM module when the parameters exceed a given limit.

Publications and Presentation

Master’s Thesis: Karkhanis, N. V. (2018). Development of Smart Patient-Specific 3D Printed Vascular Phantoms for Assessment of Flow Dynamics and Treatment Simulations Using Embedded Sensors (Doctoral dissertation, State University of New York at Buffalo).

Tabaczynski, J. R., Stoll, T., Shepard, L., Siddiqui, M. I., Karkhanis, N. V., Sommer, K., ... & Ionita, C. N. (2018, March). Use of patient specific 3D printed (3DP) neurovascular phantoms for mechanical assessment of devices used in image guided minimally invasive procedures. In Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications (Vol. 10579, p. 105790K). International Society for Optics and Photonics.

Mokin, M., Waqas, M., Nagesh, S. V. S., Karkhanis, N. V., Levy, E. I., Ionita, C. N., & Siddiqui, A. H. (2018). Assessment of distal access catheter performance during neuroendovascular procedures: measuring force in three-dimensional patient specific phantoms. Journal of neurointerventional surgery, neurintsurg-2018.

Sommer, K. N., Shepard, L., Karkhanis, N. V., Iyer, V., Angel, E., Wilson, M. F., ... & Ionita, C. N. (2018, March). 3D printed cardiovascular patient specific phantoms used for clinical validation of a CT-derived FFR diagnostic software. In Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 10578, p. 105780J). International Society for Optics and Photonics.

Presented research on 'Smart Patient-Specific Vascular Phantoms and 3D Pressure Mapping' (2017, November) at Upstate New York Association of Physicist in Medicine, Inc. (A Chapter of AAPM)

SKILLS:

Hardware: Wheatstone Bridge circuit, DAQ hardware, Measurement and Instrumentation, Interfacing Sensors, Filter Design, Amplifiers and electronic circuits, Instrumentation Amplifier, NI ELVIS II+, troubleshooting of the schematics and PCB boards, electronic circuits using lab testing equipment (multimeter, oscilloscope (CRO)), Benchtop testing, Flow studies.

Software: LabVIEW, Eagle (PCB layout software), Debugging software, Fusion 360, Python MATLAB, MS Office

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