Rajpreet Kaur Gulati

E-mail: rajpreetgulati@gmail.com | Phone: +1-2154900407 | Bay Area, California USA 

SUMMARY

Highly motivated and innovative Ph.D. graduate in Computer Science with a strong specialization in wireless sensors, RF systems, microdevice communication, and wearable technology. Seeking a challenging hardware, wireless, and postdoctoral position, also looking for APM and PM positions where I can leverage my extensive research experience in Magnetic Induction (MI) communication, ultrasonic sensing, circuit modeling, and prototype development. Proven ability to lead research projects, collaborate across disciplines, and contribute to the advancement of cutting-edge sensor technologies. Eager to apply expertise in experimental design, data analysis, and system integration to develop novel microdevices, wifi devices and sensor solutions. 

EDUCATION

Ph.D., COMPUTER SCIENCE | September 2016 – July 2022 Temple University, Philadelphia, PA, USA Dissertation: Magnetic Induction Communication in Challenging Environments Specialization: Wireless Sensors, RF Systems, Wearable Devices, Computer Networking

MASTER'S IN ELECTRICAL ENGINEERING | 2013 University of New South Wales, Australia

DOCTORAL DISSERTATION SYNOPSIS

Title: Magnetic Induction Communication in Challenging Environments

Investigated Magnetic Induction (MI) sensors for intra-body communication, performing comparative analysis with Ultrasound (US) based communication.

Designed and utilized a custom embedded testbed featuring USRP and microcontrollers with magnetic coils for experimental validation of intra-body propagation.

Demonstrated that Ultrasonic Coupling Sensors (USC) outperform Magnetic Resonance Coupling (MRC) at 8 MHz in terms of power generation.

Conducted a comprehensive study comparing MI and US sensors against other intra-body communication modalities (e.g., galvanic, capacitive), revealing USC's lower power error (3-4%) compared to MRC (4-5%).

Analyzed the impact of sensor orientation, finding minimal (1-2% error) effect on power received for both USC and MRC systems.

RESEARCH EXPERIENCE

Research Assistant / PhD Researcher | August 2016 – July 2022 Computer Science Department, Temple University, Philadelphia, PA, USA

Conducted interdisciplinary research focusing on wireless sensors, RF communication, and the integration of wearable devices in challenging environments (core of PhD research).

Contributed significantly to prototype development, circuit modeling techniques for wearable communication systems, and experimental design for sensor validation.

Supported lab activities, research coordination, and publication efforts, particularly involving compact wearable antennas and sensor systems.

Investigated Magnetic Induction (MI) and Ultrasound (US) for intra-body communication, developing custom embedded testbeds (USRP, microcontrollers, magnetic coils).

Research Assistant | April 2013 – October 2013 SIMTECH (A*STAR), Singapore

Worked on policies for supply chain risk management, mitigation modelling, planning, and operations, involving aspects of sensor-based tracking and data analysis.

TEACHING EXPERIENCE

Course Instructor / Teaching Assistant | August 2016 – July 2022 Computer Science Department, Temple University, Philadelphia, PA, USA

Instructed and mentored 35+ undergraduate students across various computer science courses.

Guided over 10 interns in coursework and independent research projects.

Delivered lectures, developed comprehensive course materials, and evaluated assignments for courses including Programming, Data Structures, and Systems.

Fostered an engaging learning environment and provided academic support to students.

PROFESSIONAL EXPERIENCE

Chief Product Officer | March 2024 – February 2025 Ylious | San Francisco Bay Area, CA

Led technical product strategy, focusing on wireless system architecture and API design for a platform that secured significant funding.

Architected and guided the development of product prototypes, ensuring alignment with business objectives and technical feasibility for microdevice and sensor applications.

Principal Investigator | May 2023 – March 2024 NeuraFusion | San Francisco Bay Area, CA

Led the initial technical architecture and design for a pre-seed stage startup focused on AI and prompt engineering; conducted strategic brainstorming sessions with the CEO to align product vision and development roadmap.

Product Lead |coursethubofficial.com | San Francisco Bay Area, CA

Architected and managed the technical infrastructure for an AI-powered web platform, including network design and API considerations for scalability and performance, relevant for sensor data platforms.

Developed and iterated on product prototypes using fast-prototyping techniques; managed full-stack development aspects.

Translated user needs into functional requirements for the platform, including aspects relevant to user interface and data presentation (dashboard-like features for sensor analytics).

Technical Analyst (Contractor @ Google) | August 2022 – April 2023 Capgemini, Mountain View, CA, USA

Performed quality assurance for connected devices, focusing on performance, stability, and connectivity – skills directly applicable to microdevice and sensor system validation.

Tested multiple products (e.g., Sirocco, Brezza, Vento, Mistral, Gale) with an emphasis on real-world usability and network behavior.

Contributed to product launches by supporting system integration and connectivity troubleshooting.

Program Manager | 2014 – 2015 IIT Bombay, India

Managed a team of 15, overseeing program management, material procurement, marketing, and research proposal development.

KEY RESEARCH PROJECTS

Magnetic Induction for Fresh Food Monitoring: Developed sensor-based tracking solutions for food logistics utilizing MI technology.

Microwave-Based Defect Detection: Engineered techniques and algorithms using microwave signals and ADS simulations to detect and localize defects in structures like coplanar waveguides.

Ultrasonic Signal Analysis for Structural Health: Created algorithms using ultrasonic signals to detect and localize defects in structures such as bridges, employing ADS simulations.

Metamaterial Transmission Line GCPW: Introduced a pseudo-inverse method for circuit model extraction, matched circuit topology with MoM and measured data, utilized SIW to suppress unwanted GCPW modes, and validated the model with strong data agreement.

TECHNICAL SKILLS

Sensor Technologies: RF, Magnetic Induction (MI), Ultrasonic Communication, Wearable Sensors, Wireless Sensor Networks

Modeling & Design: AutoCAD, ADS, HFSS, COMSOL, Sim4life, Circuit Modeling

Programming: Python (extensive for prototyping, simulation, data analysis, APIs), Matlab, GNU Radio, C/C++

Hardware & Systems: PCB Designing, Network Analyzer, Signal Generator, Oscilloscope, USRP Boards, Embedded Systems, System Architecture

Scripting & Web: Bash/Shell, HTML, CSS, JavaScript

Data Visualization & APIs: MS-Excel, Google Analytics, Google Sheets, Dashboard Development Concepts, API Design

Documentation: MS-Word, LaTeX (Overleaf), Google Docs

Collaboration Tools: Atlassian Suite (Jira, Confluence - conceptual familiarity & adaptability), Google Workspace, Microsoft Office Suite, Git

LEADERSHIP & COLLABORATION

Program managed a team of 15 at IIT Bombay.

Led technical product strategy and prototype development in startup environments (Ylious, NeuraFusion).

Initiated and led collaborations between:

Temple University and Freelinc Technologies Inc., USA

Albert Bioelectronics Lab and Computer Networking Lab, USA

Temple University and Sim4life, Switzerland

Temple University and Embware Technologies & Components, India

RECOGNITION, AWARDS, AND FUNDING

Full Scholarship from Temple University for PhD

Full Scholarship from UCPRS/UNSW, Australia for Master's

Scholarship for internship at Raman Research Institute, Bangalore

Scholarship for internship at Tata Institute of Fundamental Research, Pune, India

PUBLICATIONS

Journal Articles

S. Islam, R.K. Gulati, M. Domic, A. Pal, K. Kant, A. Kim,
 “Performance Evaluation of Magnetic Resonance Coupling Method for Intra-body Network (IBNet),”
 IEEE Transactions on Biomedical Engineering, Vol. 69, No. 6, pp. 1901–1908, 2021.

L.I. Zhengping, R.K. Gulati,
 “Supply Chain Risk Mitigation and the Application Potential of Complex Systems Approaches,”
 Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2015.

Conference Papers

R.K. Gulati, A. Pal, K. Kant,
 “Experimental Evaluation of a Near-Field Magnetic Induction Based Communication System,”
 IEEE Wireless Communications and Networking Conference (WCNC), Marrakech, Morocco, 2019.

R.K. Gulati, S. Islam, A. Pal, K. Kant, A. Kim,
 “Characterization of Magnetic Communication through Human Body,”
 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022.

A. Pal, R.K. Gulati, K. Kant,
 “Towards Building Low Power Magnetic Communication Protocols for Challenging Environments,”
 IEEE International Conference on Computer Communications and Networks (ICCCN), Spain, 2019

R.K.G. Walia, K. Kant, A. Pal,
 “Ultrasonic vs. Magnetic Resonance Communication for Mixed Wearable and Implanted Devices,”
 IEEE International Conference on Communications (ICC), pp. 5304–5309, 2022.

H. Kia, R.K.G. Walia, K. Kant,
 “A Study of Magnetic Resonance and Ultrasound Based Through-the-Body Communications,”
 IEEE 20th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2024.

Thesis

R.K. Gulati,
 “Magnetic Induction Communication in Challenging Environments,”  Ph.D. Dissertation, Temple University, 2022.

R.K. Gulati,
 “Equivalent Circuit Modeling of Transmission Line Metamaterial Unit Cells,”
 Master’s Thesis, University of New South Wales, 2013.

MAJOR COURSES

Cryptography, Machine learning, Computer Networking, Operating System, Performance Modeling of Computer and Communications Systems, Information Retrieval, Wireless communication, Algorithm & data structure, Principles of data management.


REFERENCES

Professor, Department of Computer and Information Sciences

Temple University, Philadelphia, PA, USA

Email: kkant@temple.edu

Phone: +1 (215) 204-6265

Website: www.kkant.net


Professor and Chair, Department of Computer and Information Sciences

Temple University, Philadelphia, PA, USA

Email: yu@temple.edu

Phone: +1 (215) 204-6202

Website: cis.temple.edu/~yu