Center for Advanced Computation and Telecommunications

Flore Stécie Norcéide

Graduate student in Electrical Engineering

Francis College of Engineering

Contact

Office:  Falmouth 203

Email: flore_norceide@student.uml.edu

LinkedIn: https://www.linkedin.com/in/fstecien/

Research 

Neuromorphic Computing, Data Analytics, Machine Learning, Computational and Physical Acoustics,  Data Analytics

Skills

  • Programming: Python, MATLAB, C, Java 
  • Laboratory: Oscilloscope, Function generator, Analog Discovery, Soldering
  • Tools: I.C Compiler 2, Design Compiler, I.C Validator, I.C Workbench, Emacs, LaTeX
  • Language: French, Creole, Spanish

Flore Stécie Norcéide is an International Student from Haiti. She is a graduate student completing her PhD student in Electrical Engineering. She first started as a Research, Academics, and Mentoring Pathways (RAMP) participant.  She is currently both a teaching and research assistant. 

Affiliated Groups

  • Acoustical Society of America
  • Institute of Electrical and Electronics Engineers, Etta Kappa Nu
  • National Society of Black Engineers 
  • Society of Women Engineers
  • Graduate Employee Organization 

Education

  • PhD (Expected ’25) Electrical Engineering, University of Massachusetts Lowell
  • BS (’21) Computer Engineering, University of Massachusetts Lowell
  • AS (’18) Computer Science, Three Rivers Community College

Honors & Awards 

  • Nikola Tesla Electrical Engineering Scholar, Columbia University (’21)
  • Richard Ferrante Research Endowment, UML (’19)
  • Etta Kappa Nu, UML (’19)
  • The Oprah Winfrey Scholarship, UML (’18)
  • Dean’s List Recognition, TRCC, UML (’16, ’17, ’18, ’19) 

Work, Research, Academic Experience 

  • Graduate Research Assistant: CACT, UMass Lowell (Fall ’22 – Current) – Advised by Prof. Chandra and Prof. Thompson in different research problems related to Neuromorphic engineering, acoustics, data analytics, and machine learning.
  • Graduate Teaching Assistant:   Electronics I (’23), RAMP (’19). 
  • Grader: for EECE.3170 Microprocessors I (Fall ’20)
  • Digital Implementation Intern: Synopsys (January – August 2020) Block owner assisted the completion of a Double Data Rate LPDDR5X project. Coded and tested abutment test cases for DDRPHY IPs. Testing was done weekly on two different projects. Analyzed DRC and LVS reports from I.C Validator and fixed DRCs using TSMC technology in ICC2. Tested out and ran the QA flow used for release of data to customer. Created a series of scripted checks to determine proper routing connections using TCL and Perl
  • Hivestorm: Participated in a 4-person team collegiate-focused cyber defense competition. Competition included working on securing provided Windows and Linux based virtual machines – removing malware and other infections, correcting misconfigurations, mitigating vulnerabilities, and disabling vulnerable services.
  • Tribe Academy Externship: 10-week STEM and Business program where I met with industry leaders from Nike, Fidelity Investments, Audible, CyberArk, Quora, and MGM to expand skills in Design Thinking, Marketing, Product Innovation, Cybersecurity, and Cloud Areas. Completed a Business Case Study Challenge building a Tableau Visualization Dashboard.

Publications 

  • E. AokiP. GandhiF. NorceideK. Chandra, and C. Thompson, “Model based spectral feature analysis in reverberant acoustic fields,” to appear, Proc. of Meetings on Acoustics, Chicago, IL, May 2023.
  • C. Thompson, J. Vanegas, R. Perkins, F. Norceide, I. Alvarez, and K. Chandra (2019). Acoustic streaming in a channel of moderate streaming Reynolds number. The Journal of the Acoustical Society of America
  • C. Thompson, K. Chandra, and F. Norceide (2019). The effect of acoustically driven fluid motion on boundary-induced pattern formation. The Journal of the Acoustical Society of America.