Resume

• 2017

  Purdue University Northwest

  Greater Chicago Area

  PI on DoD/NSA funded project (8/2018-8/2019):\n•\tA machine learning course for cyber security professionals.\n\nCo-PI on NIH funded project (7/2014-7/2018):\n•\tRelationship discovery in Twitter data for healthcare surveillance.\n\nLecturer for several computing related courses. Topics: data science

  cyber security

  software.

  Associate Professor

  Purdue University Northwest

• 2011

  Purdue University Northwest (Calumet)

  Greater Chicago Area

  I can provide machine learning and deep learning consulting services. In particular

  I can help you with the following:\n\n1) short 1-2 week machine learning training \n2) machine learning/deep learning based project design and implementation\n3) deep learning training \n4) selection and use of machine learning tools: tensorflow

  python

  sklearn

  pandas

  AWS

  GPU based solutions\n\nYou can contact me at: rcalix1@gmail.com

  Machine Learning Consultant

  Consulting

  Greater Chicago Area

  Co-PI on NIH funded project (7/2014-7/2018):\n•\tDesign and development of a twitter based corpus of personal experience tweets for healthcare surveillance\n•\tFeature engineering and algorithm development of machine learning based filtering application to identify personal experience tweets. Most scraped tweets are very noisy. This algorithm helps to reduce the number of tweets that need to be annotated (Python).\n•\tDesign

  analysis

   and development of word embedding approach using Mikolov's skip-gram model to identify relationships between medicines and effects in twitter data (Python and TensorFlow)\n\nPI on industry funded (by Northrop Grumman) project (7/2014-7/2015):\n•\tDesign and development of a parallel KNN based application for network intrusion detection. This approach helped to compare various parallel architectures for use in machine learning classification. The parallel architectures analyzed included GPUs

  CPUs

  and cognitive processors (Python

  C/C++

  CUDA).\n\nLecturer for several computing related courses. Topics: data science

  cyber security

  software.

  Assistant Professor

  Purdue University Northwest (Calumet)

• 2007

  Louisiana State University

  Consulting

  Baton Rouge

  Louisiana Area

  •\tSemantic analysis of text data for affect detection (Python)\n•\tFeature engineering and test-driven development of NLP and machine learning components for emotion classification and emotion magnitude prediction in text data (Naive Bayes

  KNN

  SVM

  SVR) - (Python)\n•\tLecturer for several engineering and computing courses.

  Graduate Research and Teaching Assistant

  Louisiana State University

  English

  Doctor of Philosophy - PhD

  Machine Learning

  Natural Language Processing

  Data Science

  Engineering Science

  Louisiana State University

• 2004

  Master's degree

  Business Administration and Management

  General

  Louisiana State University

• 1997

  Bachelor's degree

  Industrial and Systems Engineering

  Universidad Tecnologica Centroamericana

• word2vec

  Programming

  Artificial Intelligence

  Statistics

  Java

  Mathematical Modeling

  Computer Science

  Simulations

  Data Mining

  C++

  Deep Learning

  Algorithms

  Pattern Recognition

  Python

  Human Computer Interaction

  Matlab

  Scientific Computing

  Natural Language Processing

  Word embeddings

  Machine Learning

  Emotion recognition in text for 3-D facial expression rendering

  SA Mallepudi

  B Chen

  GM Knapp

  Emotion recognition in text for 3-D facial expression rendering

  Getting Started with Deep Learning: Programming and Methodologies using Python

  Keyuan Jiang

  Identifying Tweets of Personal Health Experience with Word Embedding and LSTM

  Text Message Corpus: Applying Natural Language Processing to Mobile Device Forensics

  MH Moghaddam

  Network Intrusion Detection Using a Hardware-Based Restricted Coulomb Energy Algorithm on a Cognitive Processor

  L Javadpour

  GM Knapp

  Detection of affective states from text and speech for real-time human–computer interaction

  Feature Ranking and Support Vector Machines Classification Analysis of the NSL-KDD Intrusion Detection Corpus

  Identifying personal health experience tweets with deep neural networks

  K. Jiang

  M. Gupta

  Construction of a Personal Experience Tweet Corpus for Health Surveillance

  Analysis of Parallel Architectures for Network Intrusion Detection

  Publications at DBLP

  Affect corpus 2.0: an extension of a corpus for actor level emotion magnitude detection

  GM Knapp

  Affect corpus 2.0: an extension of a corpus for actor level emotion magnitude detection

  Keyuan Jiang

  Deep Gramulator: Improving Precision in the Classification of Personal Health-Experience Tweets with Deep Learning

  GM Knapp

  Actor level emotion magnitude prediction in text and speech

  On the Anatomy of the Dynamic Behavior of Polymorphic Viruses

  Analysis of a Payload-based Network Intrusion Detection System Using Pattern Recognition Processors

  On the feasibility of an embedded machine learning processor for intrusion detection

  MA Khazaeli

  L Javadpour

  GM Knapp

  Dimensionality reduction and classification analysis on the audio section of the semaine database

  Keyuan Jiang

  Detecting Personal Experience Tweets for Health Surveillance Using Word Embeddings and Convolutional Recurrent Neural Networks

  Automatic Detection of Nominal Entities in Speech for Enriched Content Search

  L Javadpour

  M Khazaeli

  GM Knapp

  Automatic Detection of Nominal Entities in Speech for Enriched Content Search

  Ricardo A.

  Calix