Contact
Phone
+1 313 312 65-62
Email
hcastrog@purdue.edu
Website
www.heinercastro.com
Location
West Lafayette, Indiana
SKILLS
Data & AI Technologies
Machine Learning | Neural Networks | AI | Data Science & Statistics
Programming Languages
Python | C++ | MATLAB | R
Hardware & Systems Design
VHDL | Verilog | FPGA | VLSI Design
Simulation & Engineering Tools
ModelSim | LabVIEW | Cadence System Tool | SPICE Modeling
IoT & Embedded Systems
IoT | Microcontrollers | Arduino | Raspberry Pi | STM32 | PIC | Sensors
Semiconductor Technology
Semiconductor Physics | Device Fabrication | CMOS Technology | Semiconductor Materials
Research & Academia
Research | TeamWork | Creativity | Managment | LearderShip | Mentorship | Effective Communication | Training
LANGUAGES
English (Fluent)
Spanish (Native)
French (Basic)
Heiner Castro
Technology Specialist in Predictive Modeling and AI & VLSI Design
Associate professor
About me
I am a highly skilled instructor with a deep passion for artificial intelligence and machine learning. I have a background in electrical engineering and a distinguished academic record. My experience includes implementing predictive models and analyzing data through applied statistics. Currently, I am focused on developing predictive disease models by applying advanced machine learning techniques to clinical data sets.
Work Experience
T.A. for the courses (lab classes and grading) Purdue University
Data Acquisition and System Control Spring 2021 - 2025 | Fall 2021 - 2024
Embedded Digital Systems. Fall 2021, 2024.
Instrumentation and Data Acquisition Design. Fall 2020
Introduction to Industrial Controls. Spring 2020.
Associate Professor Universidad del Magdalena, Santa Marta, Colombia. 2009 – on leave.
Lectures: Digital Circuits, Digital System Design, Digital Integrated Circuit Design, Thesis advisor (9 projects).
Adjunct Professor Universidad Autónoma del Caribe, Barranquilla, Colombia.
Digital Signal Processing, first- year master course. 2015.
Adjunct Professor Universidad Autónoma del Caribe, Barranquilla, Colombia.
Digital Signal Processing, first- year master course. 2015.
Education
Ph.D. in Technology (Expecting graduation: July 2025)
Purdue University, West Lafayette, USA.
Graduate certificate applied in statistics. (December 2023)
Purdue University, West Lafayette, USA.
M.Sc. Microelectronics System Design. (December 2007 / First-class student.)
University of Southampton, Southampton, UK.
B.Eng. with honors, Electronics. (May 2001 / Distinguished Student Award)
Universidad del Norte, Barranquilla, Colombia.
PUBLICATIONS
Selective Impedimetric Interdigitated Electrode for Sensing Gaseous, Biological, and Inorganic Targets: A State-of-the-Art Review," in IEEE Sensors Journal, doi: 10.1109/JSEN.2023.3243102.
“A new polarimeter based on solid-state semiconductors”. Ingeniare, Revista chilena de ingeniería, vol. 20 No 3, 2012, pp. 304-311. Printed version ISSN 0718-3291. Online version ISSN 0718-3305.
“An example of digital simulation and design using cell library: a ring oscillator and a full adder”. Revista Institucional Alejandría issue 2 Vol. 1 July 2009 pp 39-44. ISSN 2011-3005.
“Bipolar transistors with polysilicon emitters and silicon-germanium heterojunction”. Journal RE´TAKVN Facultad de Ingenierías - Universidad del Magdalena Vol 1 No 2. 2009. ISSN: 2027-162X.
“Diseño en VHDL e implementación en FPGA de un filtro digital pasa-abajo”. Revista Institucional Alejandría issue 1 Vol. 1 July 2008 pp 27-32. ISSN 2011-3005.
CONFERENCE PAPERS
Out-of-hospital cardiac arrest prediction with ECG features and shallow machine learning models. IEEE-EMBS Conference on Healthcare Innovation and Point-of-Care Technologies -IEEE HI-POCT 2024- September 19-20, 2024. Pending publication.
Impedance-based sensing approach for detection of lead (Pb) in water. 2024 IEEE International Conference on Electro Information Technology (eIT), Eau Claire, WI, USA, 2024, pp. 639-642, doi: 10.1109/eIT60633.2024.10609907.
Rapid prototyping of chaotic generators using LabView-FPGA. Circuits and Systems (CWCAS), 2012 IEEE 4th Colombian Workshop. November 1-2, 2012, doi: 10.1109/CWCAS.2012.6404075.
A Basic Novel Hybrid RISC-CISC Microprocessor Design. Speech and proceedings: XIV Workshop Iberchip 2008. Puebla, México. ISBN-13 978-968-7938-03-5.
RESEARCH EXPERIENCE
Disease Predictive Model Based on Machine Learning Techniques Applied to Clinical Datasets. (Ongoing 2024).
Purdue University, West Lafayette, IN, USA. Doctoral Thesis.
Interdigital electrode sensor design.(2020-2023).
Purdue University, West Lafayette, IN, USA.
The Data Mine Project, Collaborated with Webee on anomaly detection of IoT sensor signals for smart maintenance. Python, Neural Network, and TensorFlow.(2022-2023).
Purdue University, West Lafayette, IN, USA.
Chaotic system implementations in FPGA. (2010-2012)
Universidad del Magdalena, Santa Marta, Colombia. R.A. for Dr. Jhon Taborda.