Renaissa Ghosh
Charlotte, NC 980-***-**** *************@*****.*** https://www.linkedin.com/in/renaissaghosh/ OBJECTIVE
To seek a summer internship in the areas of Materials Science Engineering EDUCATION
NORTH CAROLINA STATE UNIVERSITY, Raleigh, NC
• Master of Engineering in Materials Science and Engineering, May 2024 GPA: 3.875/4.00
• Enrolled in Graduate Certification Program in Materials Science and Engineering
• Courses: Modern Concepts in Materials Science, Elements of Crystallography and Diffraction, Introduction to Electron- Based Materials Characterization Techniques
• Labs: Fundamentals of Transmission Electron Microscopy, Microstructure and Materials Properties During Processing DUKE UNIVERSITY, Durham, NC GPA: 3.458/4.00
• Master of Engineering in Electrical and Computer Engineering, December 2021
• Courses: Semiconductor Devices, Nanotechnology, Photonics, Nonlinear Optics, Microelectronic Processing, Quantum Mechanics, Electromagnetic Theory, Consulting Practicum Program PURDUE UNIVERSITY, West Lafayette, IN GPA: 3.17/4.00
• Bachelor of Science in Electrical and Computer Engineering, May 2020
• Semester Honors
• Courses: Multivariable Calculus, Linear Algebra, Differential Equations, Electromagnetic Fields, Electromechanical Motion Devices, Signals and Systems, Engineering Projects in Community Service (EPICS), Programming Applications for Engineers, Advanced C Programming
• Labs: Basic Lab Procedures, Linear Circuit Analysis, Electrical Engineering Fundamentals Lab RELEVANT SKILLS
Programming Languages: HTML, Python (Intermediate), C (Beginner) Softwares: ThermoCalc, ImageJ, Monte-Carlo, CrystalDiffract, CrystalMaker, Casino v2.51, Autodesk AutoCAD, MATLAB, SolidWorks, SharePoint, Blender, Energy 3D, Microsoft Office/Google Suites: Microsoft Office, Google Drive, Tinkercad
Lab Equipment: Circuits, Breadboard, Resistors, Capacitors, Inductors, LEDs, Oscilloscope, Ammeter, Digital Multimeter, and Voltmeter, Optical Microscope, Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM)
Lab Skills: Data Collection, 3-D Printing, Data Analysis Certifications: Coursera - Nanotechnology: A Maker’s Course, Python (intermediate level) at Purdue University (Fall 2019), NIIT – C, C++, & DST programming – Advanced (Summer 2018) WORK EXPERIENCE
Graduate Teaching Assistant, NORTH CAROLINA STATE UNIVERSITY Aug 2023 – Present Mechanical Behavior of Structural Materials
• Assist supervisor with course material and instruction for a class of 120 undergraduate students.
• Schedule, organize, and assign weekly office hours to assist students with any concerns regarding assignments. Grade exams and review grades with students
Graduate Teaching Assistant, RUTGERS UNIVERSITY-NEW BRUNSWICK Aug – Dec 2022
• Graded homework, labs, and quizzes for Electronic Devices and reviewed grades with students Project Partner, ORBITAL SIDEKICK, INC. Sep – Dec 2021
• Developed a market-entry strategy for deploying this newly available technology into the mining sector.
• Conducted secondary and primary research to explore how satellite-based hyperspectral imaging can impact mining to inform a market-entry strategy.
Graduate Teaching Assistant, DUKE UNIVERSITY Aug – Dec 2021
• Taught, and graded homework and quizzes for Multivariable Calculus and reviewed grades with students. Project Intern, ADVANCED CONSTRUCTION ROBOTICS, INC. June – July 2021
• Used prototypes of industrial robot arms to build houses and components of homes to achieve a smaller framing nail gun that has an offset firing position.
• Designed a new piston assembly and modified the barrel through SolidWorks
• Designed a new air reservoir that will allow for easy attachment to the end effector through SolidWorks Project Partner, INTUALITYAI Feb – May 2021
• Explored AI applicability areas in the global automobile industry and assessed the needs, including ADAS (Advanced Driver-Assistance Systems) (includes adaptive cruise control, driving and user conduct monitoring, remotely connected car platform), tire pressure monitoring system, prediction for servicing the automobile, engine oil change, and washer fluid detection.
• Mitigated the ambiguity in human decision-making by supporting it with a computational complexity theory through AI – in the area of speculation and using the general prediction engine that helps investors, lottery, health patients and providers, organization planners, and the public who want to trade stocks, invest their money, monitor their health, sports gamble, monitor health, plan for predicted group behavior by anticipating irrational decision making, and produce actionable alerts to mitigate risk.
Undergraduate Teaching Assistant, PURDUE UNIVERSITY Jan – May 2020
• Assist supervisor with course material and instruction for a class of 100 undergraduate students.
• Schedule, organize, and assign weekly office hours to assist students with any concerns regarding assignments.
• Grade homework assignments and review grades with students. Data Engineering Intern, KERING INC. May – Jun 2017
• Involved in manual data collection from all IT application systems.
• Predicted the downtime behavior of these applications and raised the urgency for maintenance by the model output.
• Designed an automated process for data collection for IT applications.
• Created a dashboard for all applications, which will indicate the performance of all the application systems, predict the behavior, and recommend the service level required for these applications.
• Developed a predictive model to assess software application breakdown as a quantifiable result. PROJECTS
Designed LTI (Linear Time-Invariant) Systems, Simulation Through Impulse Response
• Recorded the impulse response and used it to simulate a real system in a computer using MATLAB programming language AM-DSB vs. AM-SSB (Amplitude modulation involving double- and single-side bands)
• Used a frequency band of 0-8 kHz to squeeze in 3 different signals using AM-DSB and 6 different signals using AM-SSB, each signal had to be pre-filtered to have a bandwidth of 1 kHz to design the carrier frequencies of this system using MATLAB programming language
Numerical Integration by MONTE CARLO Sampling
• Studied some basic ideas of Monte Carlo to rely on repeated random sampling to obtain numerical results Audio compression by using linear prediction code
• Learned the basic ideas of linear prediction coding to compress a speech signal without sacrificing too much audio quality Image Classification by Maximum-A-Posterior Decision
• Used a simplified version of a common image classification problem by classifying foreground and background regions in an image
Bridge-Building Challenge (I2R (Innovation to Reality) Team)
• Engineering Project in Community Service (EPICS) at Purdue University
• Recruited kids into the engineering field
• Learned the lesson that competition often discouraged younger girls from pursuing engineering
• Hosted a competition around who could build the sturdiest bridge
• Implemented achievement levels and encouraged goal setting rather than having one team win the bridge-building activity
• Stored design documents and presentations on SharePoint, but our team was more comfortable using Google Drive to share and work on files
Fowler House (EII (Environmental Improvement Initiative) Team)
• Engineering Project in Community Service (EPICS) at Purdue University
• Performed an energy audit on the Fowler House Mansion and utilized it to learn about the design process and the foreign modeling software
• Used an energy audit needed to be performed for us to have enough information to provide solutions for Fowler House’s energy usage
• Tried to keep the state of the mansion as close as possible to its original state
• Started modeling the Fowler House Mansion in AutoCAD to utilize the results of an energy audit effectively Hydroponics (WRM (Water Resource Management) Team) in Spring 2020
• Engineering Project in Community Service (EPICS) at Purdue University
• Educated children on the reason for hydroponic systems provide produce while reducing the amount of water needed to grow the produce needed, allowing for higher yields with less inputs of resources and capital Synthesis Methods for Graphene (published through TechRxiv: https://www.techrxiv.org/articles/preprint/Synthesis_Methods_for_Graphene/19540417)
• Summarized the synopsis of three popular methods for graphene synthesis.
• Sketched the use of oxidizing and reducing agents through SolidWorks to obtain graphene oxide from graphene flakes under low-temperature conditions from which graphene is synthesized as the final product. Synthesis Methods for Carbon Nanotubes (CNTs) (published through TechRxiv: https://www.techrxiv.org/articles/preprint/Carbon_Nanotubes_Methods_Achievements_Challenges_and_Future_Direct ions/19502455)
• Summarized the synopsis of three prevalent methods of CNT synthesis.
• Developed and optimized new approaches to their synthesis.
• Reviewed the history, the types, the structure, and the distinct, well-developed synthesis methods for preparing CNTs, including arc discharge, laser ablation, and chemical vapor deposition (CVD). Nanolasers
• Summarized the different types of nano lasers.
• Observed many challenges, owing to their nano sizes, mainly the size of the device and the energy efficiency, the integration of the system, the bandgap, or the wavelength diversity of nanolasers. Supercontinuum (SC) Light Sources
• Tested the possible use of SC light sources for absorption spectroscopy calibration.
• Integrated light at a single frequency is beneficial in many applications of biomedical imaging.
• Established possibilities in biomedical imaging, communications, displays, and material sciences by the SC light source that combines laser properties with a wide bandwidth of an incandescent lamp and short pulse duration. Solution for Retail Business while Coping with COVID-19 Scenario
• Highlighted the enhancement of the profitability of retail stores by using the analytic model.
• Developed a mathematical model to help retail business' decision-making while planning for a dual strategy of providing adequate safety to customers and maintaining sales. Fabrication for Accessibility: 3D Printing Woes and Wonders
• Learned how to 3D model through the Tinkercad software and print using a 3D printer
• Made things work together to make a viable product o Resized the objects
o Moved the objects to the right place
o Checked in all the directions that they are the right objects o Saved the objects in the ‘.stl’ file
o Uploaded the right objects into the public Dropbox
• Measured and took into account all dimensions
• Modeled a phone gripper that could make it easier for people to grip their cell phones with ease o Good application for people with physical disabilities and grip and strength issues o A place to store credit/identification cards
Extraction of Non-crystallographic Point Groups from Crystallographic Points through XRD Analysis (Fall 2023 Class Presentation)
• Explained how crystallographic point groups extracted from standard X-ray techniques can be used to identify non- crystallographic symmetries and how these non-crystallographic symmetries can be grouped to form non-crystallographic point groups
• Enabled the use of identifying non-crystallographic point groups in crystallized versions of materials and objects that are not crystalline
• Used XRD to examine crystallographic point groups
• Identified non-crystallographic point groups that correspond to crystallographic point groups detected in crystalline or crystalized materials using mathematical tools such as Group Theory
• Identified more information about a structure and aid in solving structures that are not clearly defined. This provided more information about molecule and atomic structure as well as charge transport Copper Microstructure as a Result of Forging, Annealing, and Working
• Summarized the synopsis of forging, annealing, and working processes that significantly impact the microstructure of copper alloys
• Investigated the relationship between microstructure and hardness as a result of processing techniques such as cold forging, hot forging, cold rolling, and annealing that are observed through optical microscopy Microstructure of 17-4 Stainless Steel Manufactured Using Laser Powder Bed Fusion
• Investigated the microstructure of 17-4 PH stainless steel fabricated through the laser powder bed fusion (LPBF) process, a prominent additive manufacturing technique used to learn about the relationship between microstructure and geometry
• Designed the North Carolina map through SolidWorks that was made using LPBF with 17-4 PH using the reported optimal parameters such as laser power, speed, and hatch
• Observed the grain structure and defect formation inherent to the LPBF process and material combination
• Conducted the microstructural analyses using an optical microscope to evaluate grain size, melt pool size, and defect types at different regions with varying magnification levels
• Observed the melt pool size that did not change much as a result of geometry Characterization of Metal Powders and Effects of Preparation Methods on Powder Metallurgy Processes
• Investigated the characterization of various metal powders utilized in additive manufacturing processes, specifically focusing on 17-4 PH and Ti-6Al-4V alloys
• Performed Hall-flow tests for assessing powder flowability, Scanning Electron Microscopy (SEM) for morphological analysis, and particle size distribution analysis using a Microtrac S5300 with a wet UT method
• Analyzed the effects of various sintering and compaction methods on the densification and mechanical properties of the materials
• Observed the optimization of additive manufacturing processes for improved material performance Mechanical Properties of Wrought and Additively Manufactured 17-4 PH
• Explored the change of mechanical properties by considering different material manufacturing methods
• Analyzed 17-4 PH stainless steel samples with two wrought samples and two samples that were additively manufactured
(AM) through LPBF
• Observed that wrought samples had slightly higher values for Young’s modulus, yield strength, and failure elongation, but AM samples had higher ultimate tensile stresses
• Used electron backscatter diffraction (EBSD) that confirmed AM samples with some anisotropy while wrought samples were isotropic
RESEARCH EXPERIENCE
Research Assistant, Recycling of Electronic Waste – North Carolina State University, Raleigh, NC Jan 2024 - Present
• Categorize each electronic component of the laptop based on the precious metals used in its construction.
• To begin, first familiarize myself with the various electronic components found in a laptop, such as CPUs and hard drives.
• For instance, start with printed circuit boards such as computer motherboards, then research the precious metals
(gold, copper, iron, lead, tin, nickel, antimony, platinum, and palladium) utilized in its production. Repeat this process for other components such as the hard drive.
• Conduct experiments using characterization tools to identify and extract these metals from the broken laptop. Research Assistant, Biomedical Sensors in Healthcare Applications – Rutgers University, Piscataway, NJ Jan - May 2023
• Clarified the understanding of biology processes and technology for medical diagnosis and treatment using the MATLAB software simulation.
• Summarized the five different biomedical sensing technologies for various applications such as medical image analysis and diagnostics, portable and clinical diagnostics, and laboratory analytical applications. Research Assistant, Earth Remote Sensing – Purdue University, West Lafayette, IN Aug 2019 - May 2020
• Derived integral and differential equations and mathematical models on digital filters and frequency cross- correlations based on the data we received from the ORBCOMM (low Earth orbit communication) satellites.
• Reviewed the signal reading and spectrum code and described how this works with the help of equations or flow charts.
• Solved the bandpass filter function in MATLAB according to the channel bandwidth and channel frequency data for each channel from the report to identify the ORBCOMM channels.
• Stated the mathematical model for the filter and derived equations that describe filters and how to use this approach for the ORBCOMM problem.
AFFILIATIONS
Potentiostat Team Member of SciBridge, North Carolina State University Fall 2023 – present
• Goals: Make an introduction video explaining electrochemistry fundamentals and how the potentiostat works, test the potentiostat and its capabilities and make an experiment kit demonstrating how the potentiostat works.
• Installed and soldered the potentiostat in the ECE Makerspace
• Current Stage: Test the function of the potentiostat Member of NC State Chapter of the Electrochemical Society Spring 2024 - present Member of MuAlpha Theta Math Honor Society Fall 2014 – Spring 2016 Member of Institute of Electrical and Electronics Engineering, Purdue Chapter Fall 2016 – Spring 2020 CONFERENCES
• Fall Undergraduate Research Expo & Spring Undergraduate Research Conference for Vertically Integrated Projects: Earth Remote Sensing (Fall 2019 – Spring 2020)
• American Exploration & Mining Association (AEMA) Conference for Orbital Sidekick: Satellite-Based Hyperspectral Imagery (HSI) – The Midas Touch for Mining? (Fall 2021)
• Carolina Science Symposium (CSS) Student Poster Conference for Synthesis Methods for Graphene (November 17, 2023)