Hello! I'm Bhargava Teja
I'm a Professional Research Engineer specialized in RF Biosensors, RF Wireless Communications, RFIC Design, SiGe, GaAs and GaN. I have an overall 6 years of research experience in combined Electrical Engineering Fields. I am currently working as SR. RF Microwave Engineer in Qorvo, Greensboro.
Bhargava Teja Nukala
SR. RF Design Engineer, Qorvo,Inc.
Phone:
806-470-0275
Email:
Address:
206 N Swing Rd,
Greensboro,27409
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Date of Birth:
June 28th,1992
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EXPERIENCE
Apr 2019-Present
Sr. RF Microwave Engineer
QORVO​
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Advancing Qorvo’s simulation capabilities through projects which enhance designer’s capabilities to run sophisticated circuit simulations.
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Characterizing devices and circuits (Power Amplifiers, Low Noise Amplifiers and Switches), analyzing and summarizing data, and comparing to or improving simulations. This will involve interacting with design teams, modeling engineers, and device development engineers to understand and support three major areas.
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Comparing measured and modeled results to better understand the capabilities of compact models to predict circuit behavior.
Jan 2017-Mar 2019
RF Benchmark Design Engineer
GLOBALFOUNDRIES
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Responsible for designing, testing and characterization of RF circuits in 350nm Silicon Germanium (SiGe) technologies for WiFi (5.8GHz high band) and Cellular (1GHz-2GHz) applications. Design, implement and tape-out relevant benchmark designs on internal test chips and MPWs.
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Design RF Circuits such as Power Amplifier (PA), Low Noise Amplifier (LNA) and Switches in 350nm SiGe, 180nm SOI, 45nm SOI technology process and data analysis required to provide technology development feedback.
Aug 2013-Dec 2016
Research Assistant
TEXAS TECH UNIVERSITY, RF-SOC LAB
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Designed and developed a custom Wireless Gait Analysis Sensor (WGAS) for fall detection study using TI’s MSP430 microcontroller and TI's eZ430-RF2500 development tool and also designed PCB boards and 3-D gait sensor box.
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Designed 2-coil and 4-coil strongly-coupled magnetic resonance (SCMR) systems for wireless power transfer in implantable devices at 5.8 GHz using ANSOFT HFSS.
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Performed EM Analysis of SCMR to determine needed power level & probe range for a 5.8 GHz RFID system with on-chip dielet design in IBM 7RFSOI to Improve Probe-ID power transfer and communications using ANSOFT HFSS, Maxwell and Simplorer.
EDUCATION
2013-2016
Master's in Electrical Engineering
TEXAS TECH UNIVERSITY
Thesis: “A Wearable Wireless Gait Analysis Sensor for Fall Prevention and Detection with a Study of Wireless Power Transfer into Tiny Coils"
2009-2013
Bachelor's in Electronics and Electrical Engineering
NAATIONAL INSTITUTE OF TECHNOLOGY, SILCHAR
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2007-2009
Intermediate
NARAYANA JUNIOR COLLEGE
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SKILLS
Cadence Spectre and Virtuoso
ADS
ANSOFT HFSS, ANSYS Simplorer, ANSYS Maxwell
AWR Microwave Office
MATLAB
LABVIEW, ORCAD
EXPERTISE
PUBLICATIONS
Invited book chapter:
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“THE DESIGN OF ROBUST REAL-TIME WEARABLE FALL DETECTION SYSTEMS AIMING FOR FALL PREVENTION”, D.Y.C. Lie, B.T. Nukala et al., “Activities of Daily Living (ADL): Cultural Differences, Impacts of Disease and Long-Term Health Effects”, Chapter 3, Edited by Scott T. Lively, Nova Science Publishers, Inc., NY, 3rd Quarter, pp.51-76, 2015
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Journal paper:
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1. "An Efficient and Robust Fall Detection System using Wireless Gait Analysis Sensor with Artificial Neural Network (ANN) and Support Vector Machine (SVM) Algorithms” B.T. Nukala et al., Open Journal of Applied Biosensor, 2014, 3, pp. 29-39
2."Gait Classification of Normal vs. Patients by Wireless Gait Sensor and Support Vector Machine (SVM) Classifier” T. Nakano, B.T. Nukala et al., International Journal of Software Innovation (IJSI), Vol 5 (1), (2016) DOI: 10.4018/IJSI.2017010102
3. Invited Paper: “Real-Time Classification of Patients with Balance Disorders vs. Normal Subjects Using a Low-Cost Small Wireless Wearable Gait Sensor with High Accuracy” B. T. Nukala et al., Biosensors (Basel). 2016;6(4):58. Published 2016 Nov 29.
DOI: 10.3390/bios6040058
4. “Wireless Power Transfer (WPT) using Strongly Coupled Magnetic Resonance (SCMR) At 5.8 GHz for Biosensors Applications: A Feasibility Study by Electromagnetic (EM) Simulations” Lie D, B. T. Nukala et al., (2017) Int J Biosen Bioelectron 2(2): 00019.
DOI: 10.15406/ijbsbe.2017.02.00019
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Archived Peer- Reviewed Journal Articles:
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1. “Impact of Emitter Width Scaling on Performance and Ruggedness of SiGe HBTs for PA application” Saurabh Sirohi, B.T. Nukala et al., Accepted to BCICTS, 2018
2. “Efficient Near-Field Inductive Wireless Power Transfer for Miniature Implanted Devices Using Strongly Coupled Magnetic Resonance at 5.8 GHz” B.T. Nukala et al., Proc. Texas Symposium on Wireless & Microwave Circuits & Systems, Waco, TX, 2016
3. Invited paper: “Recent Progress on High-Efficiency CMOS and SiGe RF Power Amplifier Design", Donald Y.C. Lie, Jerry Tsay, Travis Hall, Teja Nukala et al., Proc. IEEE Topics in RF/microwave Power Amplifiers(PAWR), Austin, Jan. 24-27, (2016)
4. Best Paper Award Winner: "Excellent Wireless Power Transfer Unto Tiny Coil Using 4-Coil Strongly Coupled Magnetic Resonance (SCMR) for Implantable Devices and Biosensors", B.T. Nukala et al., Proc. 18th ICRTET-2015, Dec. 26, pp. 26-29, Taiwan 2015
5."Posture Tracking Study with Custom Wireless 3-D Gait Analysis Sensor (WGAS) and Commercial Posture Sensor", Paul E. Lie, D.Y.C. Lie, B.T. Nukala et al., Proc. Int'l Conf. on BIOENG'15, 2015 World Congress in Comp. Science, Comp. Engineering, and Applied Comp, pp. 75-76, Las Vegas, USA, July 27-29 (2015)
6."Posture Tracking and Comparison Using a Commercial Posture Sensor Against Our Own Custom Wireless Fall Detection Sensor", D.Y.C. Lie, Paul E. Lie, B.T. Nukala et al., Proc. 2nd Int'l Conf. on Eng. and Natural Science (ICENS), pp. 14-26, Waseda University, Tokyo, Japan, July 22-24 (2015)
7."A Phased Array Non-Contact Vital Sign Sensor with Automatic Beam Steering", T. Hall, B. Nukala, et al., Proc. IEEE International Microwave Symposium (IMS2015), pp. 1-4, Phoenix, Arizona, May 17-22 (2015)
8.“A Real-Time Fall Detection System Using a Wearable Wireless Gait Analysis Sensor and a Support Vector Machine (SVM) Classifier”, N. Shibuya, B.T. Nukala et al., Proc. IEEE 8th Int’l Conf. on Mobile Computing and Ubiquitous Networking, pp 66-67, Jan. 20-22, 2015, Hakodate City, Hokkaido, Japan
9.“Comparing Nape vs. T4 Placement for a Mobile Wireless Gait Analysis Sensor Using the Dynamic Gait Index Test”, B.T. Nukala et al., Proc. IEEE 8th Int’l Conf. on Mobile Computing and Ubiquitous Networking, pp. 68-69, Jan. 20-22, 2015, Hakodate City, Hokkaido, Japan
10. “A Wireless Gait Analysis Sensor for Real-Time Robust Fall Detection Using an Artificial Neural Network”, B.T. Nukala et al., Proc. IEEE Point-of-Care Technologies Conf. pp. 219-222, Oct. 8-10, Seattle, WA, 2014
11. “Evaluating Optimal Placement of Real-Time Wireless Gait Analysis Sensor with Dynamic Gait Index (DGI)”, B.T. Nukala et al., Actas of the IEEE CISTI'2014 (9th Iberian Conf. on Information Systems and Techno.), Vol. II, pp. 160-161, Barcelona, Spain, June 18-21, (2014)