Mitchell Solomon
PhD Candidate In Systems Engineering
Melbourne,FL
Summary
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Deep Learning.
Overview
10
10
years of post-secondary education
7
7
years of professional experience
Work History
Machine Learning Research Assistant
Florida Institute of Technology
Melbourne , FL
2016.10 - Current
- Worked on advanced methods for machine learning to be incorporated into automating time-series analysis, specifically event detection, classification, and generative models
- Worked with deep learning toolkits TensorFlow, Keras, and PyTorch for both experimental research purpose and to better understand the implementation of deep networks.
- Studied and implemented various machine learning algorithms from basic KNN to state of the art deep networks.
- Supported department members with administrative, research and academic assistance.
- Supervised undergraduate students working on research projects.
- Prepared materials for technical reports, presentations and submission to peer-reviewed journals and government customers.
Student Mentor
Florida Institute Of Technology
Melbourne , FL
2017.05 - 2017.07
- Mentored two undergraduate students through a ten-week intensive program, starting with teaching basic fundamentals to implementation and presentation of state-of-the-art deep learning research in time-series classification.
- Managed codebase through GitHub version control software, and prepared deliverables to meet crucial deadlines.
- Produced a technical report titled “Infrasound Classification using Long-Short Term Memory Recurrent Neural Networks” (project video highlights: https://www.youtube.com/watch?v=1-D9FGxAIYI).
Biophysics Research Assistant
Florida Institute of Technology
Melbourne , FL
2012.10 - 2012.12
- Studied the effect of colloidal gold nanoparticles on lysozyme self-assembly and amyloid fiber formation.
- Properly calibrated and adjusted malfunctioning equipment to achieve precise test results.
- Created and updated record of all supplies and equipment to monitor inventory.
- Prepared powerful chemical solutions and reagents for use in analysis of samples.
Chemical Engineering Intern
Mainstream Engineering Corporation
Rockledge , FL
2014.04 - 2016.04
- Tested and modified a pyrolytic sold waste remediation system from feed milling to bio-oil production and characterization.
- Prepared and characterized PbTe nanowire arrays electrodeposited in an aluminum nanoporous template.
- Designed experimental procedure, built custom electrochemical cell, executed test plan, and analyzed data to model the electrochemical growth of ultra-high aspect ratio nanoporous anodized aluminum.
- Gave oral presentation of results at the 228th Electrochemical Society Meeting titled “Electrochemical and Thermal Contributions to Ultra-Deep AAO Growth: Aspect Ratio >10^4”.
Nanotechnology Research Assistant
Florida Institute of Technology
Melbourne , FL
2011.10 - 2012.04
- Assembled and calibrated potentiostat for electrochemical sensing of gold nanoparticles for analytical chemistry lab.
- Collaborated with professors to identify relevant questions and determine best methods of potentiostat data collection.
- Performed statistical, qualitative and quantitative analysis.
Education
Ph.D. - Systems Engineering
Florida Institute Of Technology-Melbourne
Melbourne, FL 2016.08 - Current
Master of Science - Chemical Engineering
Florida Institute Of Technology-Melbourne
Melbourne, FL 2014.08 - 2016.05
Bachelor of Science - Chemical Engineering
Florida Institute Of Technology-Melbourne
Melbourne, FL 2010.08 - 2014.05
Skills
Presentation
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Publications
- "Infrasound Threat Classification: A Statistical Comparison of Deep Learning Architectures", SPIE 2018
- "Classification of Rail Switch Data using Machine Learning Techniques", Joint Rail Conference 2018.
- "Deep wavelet scattering features for infrasonic threat identification", SPIE 2018
- "Near-field Infrasound Classification of Rocket Launch Signatures", SPIE 2018
- "Shepard Interpolation Neural Networks with K-Means: A Shallow Learning Method for Time Series Classification", International Joint Conference on Neural Networks 2018
Timeline
Student Mentor
Florida Institute Of Technology
2017.05 - 2017.07
Machine Learning Research Assistant
Florida Institute of Technology
2016.10 - Current
Ph.D. - Systems Engineering
Florida Institute Of Technology-Melbourne
2016.08 - Current
Master of Science - Chemical Engineering
Florida Institute Of Technology-Melbourne
2014.08 - 2016.05
Chemical Engineering Intern
Mainstream Engineering Corporation
2014.04 - 2016.04
Biophysics Research Assistant
Florida Institute of Technology
2012.10 - 2012.12
Nanotechnology Research Assistant
Florida Institute of Technology
2011.10 - 2012.04
Bachelor of Science - Chemical Engineering
Florida Institute Of Technology-Melbourne
2010.08 - 2014.05