Page 1 15 CURRICULUM VITAE MAREK TRAWICKI, PH.D. Campus …

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CURRICULUM VITAE

MAREK TRAWICKI, PH.D.


Adjunct Assistant Professor

Marquette University

Electrical and Computer Engineering

Haggerty Hall, 222

Campus Home

1515 W. Wisconsin Avenue 2411 North 80th Street

Milwaukee, WI 53233 Wauwatosa, WI 53213

414-288-5118 414-258-5587

[email protected] [email protected]

Sites Links

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

Rate My Professors http://www.ratemyprofessors.com/ShowRatings.jsp?tid=2187967

Google Scholar https://scholar.google.com/citations?hl=en&user=rewHHFwAAAAJ

EDUCATION

Marquette University Milwaukee, WI 08/04 – 05/09

Doctor of Philosophy, Electrical Engineering Department of Electrical and Computer Engineering

Concentration: Speech and Signal Processing Dissertation: Distributed Multichannel Processing for Signal Enhancement

Advisor: Michael Johnson Committee: Fabien Josse, Richard Povinelli, James Richie, and Edwin Yaz

University of Wisconsin-Milwaukee Milwaukee, WI 08/02 – 05/05

Master of Science, Mathematics Department of Mathematical Sciences

Concentration: Numerical Analysis Thesis: The Computational Solution to the Radiosity Equation

Advisor: Tzu-Chu Lin Committee: David Schultz and Dexuan Xie


Master of Science, Electrical Engineering Department of Electrical and Computer Engineering

Concentration: Control Systems Thesis: None


Bachelor of Science, Electrical Engineering Department of Electrical and Computer Engineering

Majors: Electrical and Computer Engineering & Mathematics Honors: Cum Laude

SKILLS

Course Management Blackboard D2L

Laboratory Equipment Analog Discovery Cadet Board DMM Function Generator

Logic/Spectrum Analyzer Oscilloscope Power Source

Languages German Polish

Operating Systems DOS Unix/Linux Windows

Programming Languages C/C++ Fortran HTML Java/Javascript

Python

Software HTK LabVIEW Maple Mathematica

mailto:[email protected]

mailto:[email protected]

https://www.linkedin.com/in/marektrawicki/

http://www.ratemyprofessors.com/ShowRatings.jsp?tid=2187967

https://scholar.google.com/citations?hl=en&user=rewHHFwAAAAJ

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CURRICULUM VITAE


Matlab Microsoft Office Minitab Multisim

NLTK PSpice R

ACADEMIC EXPERIENCE

Administration


Assistant Tutorial Program Coordinator Office of Student Educational Services

Facilitated the operation of the tutoring program, promoted tutoring services across the university, evaluated the performance of tutors, provided

tutors with answers to questions about tutoring and the tutoring program, and observed study skills and time management counseling sessions as

students pursue academic and personal success with academic support services of tutorial program, academic skills, and disability services


Tutor Mentor Office of Student Educational Services

Provided discussion forum, tutoring strategies, moral support, and feedback to fellow tutors in Chemistry and Mathematics on a biweekly basis in

person and over e-mail as students pursue academic and personal success with academic support services of tutorial program, academic skills, and

disability services

Teaching

Milwaukee School of Engineering Milwaukee, WI 09/17 – 05/20

Instructor Department of Electrical Engineering and Computer Science

Designed and delivered lectures and labs; developed homework assignments, labs, and exams; and provided weekly office hours to answer

questions for undergraduate students in 122 credits of Linear Circuits, Signals and Systems, Digital Signal Processing, and Control Systems courses

Milwaukee School of Engineering Milwaukee, WI 09/15 – 08/17

Adjunct Assistant Professor Department of Electrical Engineering and Computer Science

Designed and delivered lectures and labs; developed homework assignments, labs, and exams; and provided weekly office hours to answer

questions for undergraduate students in 81 credits of Pre-Calculus and Linear Circuits, Signals and Systems, Digital Signal Processing, Control

Systems, and Operational Amplifier Design courses


Adjunct Assistant Professor Department of Electrical and Computer Engineering

Designed and delivered lectures; developed homework assignments, projects, and exams; and provided weekly office hours to answer questions

for undergraduate and graduate students in 73 credits of Electric Circuits, Digital Electronics, Linear Systems Analysis, Digital Signal Processing,

Communication Systems, and Senior Design courses


Senior Instructor Educational Opportunity Program, Student Support Services


for incoming Marquette University freshmen in College Mathematics, Calculus, and Statistics courses through the federally-funded TRIO program

that serves as outreach and Student Support Services program designed to identify and provide services for individuals from disadvantaged

backgrounds (low-income individuals, first-generation college students, or individuals with disabilities)


Senior Instructor Educational Opportunity Program, Upper Bound Math & Science


for local area high school seniors in Pre-Calculus course through the federally-funded TRIO program that serves as outreach and Upper Bound

Math & Science program designed to identify and provide services for individuals from disadvantaged backgrounds (low-income individuals, first-

generation college students, or individuals with disabilities)


Instructor Department of Electrical and Computer Engineering


for undergraduate and graduate students in 3 credits of Digital Signal Processing course


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CURRICULUM VITAE


Teaching Apprentice Department of Electrical and Computer Engineering

Observed day-to-day management and instruction and worked collaboratively with the instructor to develop curriculum materials to support

pedagogy for undergraduate and graduate students in 3 credits of Digital Signal Processing course


Teaching Assistant Department of Electrical and Computer Engineering

Graded projects, homework assignments, and lab reports and provided weekly office hours to answer questions for undergraduate and graduate

students in 10 credits of Digital Signal Processing, Computer Hardware, and Electronic Circuits Lab I courses


Teaching Assistant Department of Mathematical Sciences

Designed and delivered lectures; developed homework assignments, quizzes, and exams; and provided weekly office hours to answer questions

for undergraduate students in 28 credits of Intermediate Algebra, Contemporary Explorations in Mathematics, Mathematical Explorations for

Elementary Teachers I, and Survey in Calculus and Analytic Geometry courses

Tutoring


Tutor Office of Student Educational Services

Performed group tutoring and mentoring for undergraduate students in Chemistry, Finite Mathematics, Elements of Calculus, Calculus, and

Differential Equations courses as students pursue academic and personal success with academic support services of tutorial program, academic

skills, and disability services

Trawicki Tutoring Services Milwaukee, WI 08/05 – 08/09

Private Tutor Education

Established tutee clientele base through referrals and networking, scheduled tutoring sessions in the library with e-mail correspondence, and

performed one-on-one and group tutoring and mentoring for undergraduate students in Chemistry and Calculus courses


Academic Support Staff Athletic Department

Performed one-on-one tutoring and mentoring for NCAA Division I undergraduate student-athletes in Finite Mathematics, Elements of Calculus,

Calculus, and Linear Algebra courses


Tutor Tutoring and Academic Resource Center

Performed one-on-one tutoring and mentoring for undergraduate students in Pre-Calculus, Calculus, and Differential Equations courses as students

improve their academic performance and college success with services of tutoring, supplemental instruction, study groups, and academic resources

Marquette University Milwaukee, WI 08/99 – 05/00, 08/01 – 05/02

Tutor Educational Opportunity Program

Performed one-on-one tutoring and mentoring for undergraduate students in Chemistry, Physics, Calculus, and Differential Equations courses

through the federally-funded TRIO program that serves as outreach and student services program designed to identify and provide services for

individuals from disadvantaged backgrounds (low-income individuals, first-generation college students, or individuals with disabilities)

INDUSTRIAL EXPERIENCE

Johnson Controls Inc. Milwaukee, WI 03/15 – 08/15

Principal Engineer, Intern Application Technology and Advanced Development, Building Efficiency

Developed and implemented advanced model-based controls and dynamic optimization technologies by working independently as well as with a

diverse team to develop advanced technology solutions, including modeling, estimation, advanced linear/non-linear controls, and real-time

optimization; validated performance of developed solutions through simulations and applications on target products to mature technology;

documented technology and results through patent applications, technical reports, and publications; stayed current with advances in control system

technologies to seek out new ideas and applications; and worked in a team environment with colleagues and collaborators inside the company and

academic institutions

Mystic Aquarium Mystic, CT 08/04 – 05/05

Research Scientist Department of Electrical and Computer Engineering

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CURRICULUM VITAE


Developed and implemented speech recognizer for pattern analysis and classification applied to 2-omnidirectional hydrophones corpus consisting

of Bottlenose Dolphins (Tursiops Truncatus) vocalizations collected in the Bahamas for improving recognition accuracy in terms of call-type

classification and speaker identification of the noisy signals

GasHour Milwaukee, WI 08/00 – 05/01

Project Manager, Senior Design Department of Electrical and Computer Engineering

Lead senior design team consisting of programmers and marketers to customize, code, and maintain the graphical user interface (GUI) of the new

hourly software model and contributed to the overhaul of the technical user manual and marketing brochure to allow gas utilities to make hourly

predictions of natural gas consumption and transfer the savings to their customers

RESEARCH EXPERIENCE

University of Wisconsin-Madison Madison, WI 08/12 – 01/13

Project Assistant Department of Curriculum and Instruction

Reviewed literature and designed data collection instruments for better understanding the role examples play in the development, exploration, and

justification of mathematical conjectures on the federally-funded project The Role and Use of Examples in Learning to Prove (National Science

Foundation, Grant 1220623) with the overarching goal being to help students appreciate the need to prove and to learn to prove


Post-Doctoral Researcher Department of Electrical and Computer Engineering

Developed and implemented novel algorithms for performing single channel speech enhancement by devising new cost functions using traditional

statistical models and incorporating improved and more accurate statistical models using more advanced cost functions


Research Fellow Department of Electrical and Computer Engineering

Developed and implemented novel algorithms for performing multichannel speech enhancement by generalizing speech enhancement algorithms

from single channel microphones and microphone arrays under the assumption of a diffuse noise field through the federally-funded GAANN

(Graduate Assistance in Areas of National Need) program in Smart Sensor Systems (U.S. Department of Education, GAANN Grant P200A010104)

to prepare students to pursue career in teaching, research, and service at university level in electrical engineering with focus on signal processing

and pattern recognition

Adam Mickiewicz University Poznan, Poland 08/04 – 08/08

Researcher Department of Behavioral Ecology

Developed and implemented multichannel signal fusion strategies and enhancement algorithms applied to 8-channel, widely-spaced microphone

corpus consisting of Ortolan Bunting (Emberiza Hortulana) vocalizations collected in Norway for improving recognition accuracy in terms of

song-type classification and speaker identification and Signal-to-Noise Ratio (SNR) and Segmental Signal-to-Noise Ratio (SSNR) of the noisy

signals


Research Assistant Department of Electrical and Computer Engineering

Developed and implemented framework for pattern analysis and classification of animal vocalizations through integration of models and theories

from human speech processing through the cross-disciplinary and federally-funded Dr. Dolittle Project (National Science Foundation, Grant IIS-

0326395) with the goals of improving and understanding of animal behavior, creating better habitats and species survival programs, and designing

new technologies for remote monitoring and study in natural habits

COURSES TAKEN

Computer Engineering

COEN 030 Introduction to Computer Hardware and Software 3 Credits MU UGRD Fall 1999

COEN 171 Computer Hardware 3 Credits MU UGRD Spring 2000

Computer Science

COSC 154 Data Structures for Engineers 3 Credits MU UGRD Spring 2000

COMPSCI 458 Computer Architecture 3 Credits UWM GRAD Summer 2001

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CURRICULUM VITAE


Control Systems

EECE 150 Control Systems 3 Credits MU UGRD Fall 2000

EECE 153 Digital Control Systems 3 Credits MU UGRD Spring 2001

EECE 220 Modern Control Theory 3 Credits MU GRAD Fall 2001

EECE 225 Optimal Control 3 Credits MU GRAD Spring 2002

EECE 227 Non-Linear and Adaptive Control 3 Credits MU GRAD Spring 2005

EECE 229 Stochastic Systems, Estimation, and Control 3 Credits MU GRAD Spring 2005

Electrical Engineering

EECE 011 Electric Circuits 1 4 Credits MU UGRD Fall 1998

EECE 010 Electronic Devices 3 Credits MU UGRD Spring 1999

EECE 012 Electric Circuits 2 3 Credits MU UGRD Spring 1999

EECE 141 Electrical Instrumentation Laboratory 2 Credits MU UGRD Summer 1999

EECE 112 Digital Electronics 4 Credits MU UGRD Fall 1999

EECE 113 Linear Systems Analysis 4 Credits MU UGRD Fall 1999

EECE 121 Electromagnetic Fields 1 4 Credits MU UGRD Fall 1999

EECE 111 Analog Electronics 4 Credits MU UGRD Spring 2000

EECE 143 Digital Electronics Laboratory 2 Credits MU UGRD Spring 2000

EECE 142 Analog Electronics Laboratory 2 Credits MU UGRD Fall 2000

EECE 146 Principles of Design 3 Credits MU UGRD Fall 2000

EECE 147 Senior Design Project 3 Credits MU UGRD Spring 2001

EECE 206 Probability and Random Processes in Engineering 3 Credits MU GRAD Spring 2000

EECE 205 Advanced Engineering Mathematics 3 Credits MU GRAD Fall 2000

EECE 211 Algorithm Analysis and Applications 3 Credits MU GRAD Summer 2001

EECE 152 Introduction to Communication Systems 3 Credits MU GRAD Fall 2001

EECE 215 Neural Networks and Neural Computing 3 Credits MU GRAD Spring 2002

EECE 212 Pattern Recognition 3 Credits MU GRAD Fall 2004

EECE 176 Sensor Devices 3 Credits MU GRAD Summer 2005

EECE 263 Infrared and Photonics Sensors: Theory and Applications 3 Credits MU GRAD Fall 2005

EECE 264 Microelectromechanical Systems and Sensors 3 Credits MU GRAD Fall 2006

Mathematics

MATH 080 Calculus 1 4 Credits MU UGRD Fall 1997

MATH 081 Calculus 2 4 Credits MU UGRD Spring 1998

MATH 082 Calculus 3 4 Credits MU UGRD Fall 1998

MATH 083 Differential Equations 4 Credits MU UGRD Spring 1999

MATH 090 Discrete Mathematics 3 Credits MU UGRD Spring 1999

MATH 164 Statistical Methods 3 Credits MU UGRD Summer 1999

MATH 121 Linear Algebra and Matrix Theory 3 Credits MU UGRD Fall 1999

MATH 124 Abstract Algebra 1 3 Credits MU UGRD Fall 2000

MATH 135 Foundations of Geometry 3 Credits MU UGRD Fall 2000

MATH 101 History of Mathematical Ideas 3 Credits MU UGRD Spring 2001

MATH 140 Theory of Differential Equations 3 Credits MU UGRD Spring 2001

MATH 182 Complex Variables 3 Credits MU UGRD Spring 2001

MATH 142 Boundary Value Problems 3 Credits MU GRAD Spring 2002

MATH 521 Advanced Calculus I 3 Credits UWM GRAD Fall 2002

MATH 535 Linear Algebra 3 Credits UWM GRAD Fall 2002

MATH 522 Advanced Calculus II 3 Credits UWM GRAD Spring 2003

MATH 581 Introduction to the Theory of Chaotic Dynamical Systems 3 Credits UWM GRAD Spring 2003

MATH 321 Vector Analysis 3 Credits UWM GRAD Summer 2003

MATH 313 Linear Programming and Optimization 3 Credits UWM GRAD Fall 2003

MATH 405 Mathematical Models and Applications 3 Credits UWM GRAD Fall 2003

MATH 416 Computational Linear Algebra 3 Credits UWM GRAD Spring 2004

MATH 703 Methods of Applied Mathematics I 3 Credits UW GRAD Fall 2013

MATH 714 Methods of Computational Mathematics I 3 Credits UW GRAD Fall 2013

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CURRICULUM VITAE


MATH 609 Mathematical Methods for Systems Biology 3 Credits UW GRAD Spring 2014

MATH 632 Introduction to Stochastic Processes 3 Credits UW GRAD Fall 2014

MATH 801 Non-Linear Dynamics and Applications 3 Credits UW GRAD Spring 2015

Numerical Analysis

MATH 413 Introduction to Numerical Analysis 3 Credits UWM UGRD Summer 2000

MATH 414 Numerical Analysis 3 Credits UWM GRAD Spring 2003

MATH 715 Numerical Analysis 3 Credits UWM GRAD Fall 2003

MATH 815 Numerical Solutions to Differential Equations 3 Credits UWM GRAD Spring 2004

Signal Processing

EECE 157 Digital Signal Processing 3 Credits MU GRAD Fall 2001

EECE 226 Digital Image Processing 3 Credits MU GRAD Fall 2004

EECE 229 Chaotic Systems and Signal Processing 3 Credits MU GRAD Fall 2004

EECE 223 Digital Processing of Speech Signals 3 Credits MU GRAD Spring 2005

MSCS 282 Text Mining and Natural Language Processing 3 Credits MU GRAD Fall 2005

EECE 221 Chaos and Non-Linear Signal Processing 3 Credits MU GRAD Spring 2006

EECE 222 Optimal and Adaptive Digital Signal Processing 3 Credits MU GRAD Spring 2006

COURSES TAUGHT

Milwaukee School of Engineering

Fall 2019 EE 2060 Linear Circuits – Steady-State II 3 Lecture Hours 2 Lab Hours 4 Credits 2 Sections

EE 3032 Signals and Systems 4 Lecture Hours 0 Lab Hours 4 Credits 1 Section

BE 4815 Biomedical Feedback Control Systems 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section

Winter 2019-2020 EE 2060 Linear Circuits – Steady-State II 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section

EE 2715 Linear Circuits II – Transients 2 Lecture Hours 2 Lab Hours 3 Credits 1 Section

EE 3221 Digital Signal Processing 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section


Spring 2020 EE 3221 Digital Signal Processing 3 Lecture Hours 2 Lab Hours 4 Credits 2 Sections


Fall 2018 EE 2050 Linear Circuits – Steady-State I 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section

EE 3032 Signals and Systems 4 Lecture Hours 0 Lab Hours 4 Credits 2 Sections

Winter 2018-2019 EE 3032 Signals and Systems 4 Lecture Hours 0 Lab Hours 4 Credits 1 Section

EE 3221 Digital Signal Processing 3 Lecture Hours 2 Lab Hours 4 Credits 2 Sections

Spring 2019 EE 2050 Linear Circuits – Steady-State I 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section

EE 2070 Linear Circuits – Transients 3 Lecture Hours 0 Lab Hours 3 Credits 1 Section



EE 2705 Linear Circuits I – DC 2 Lecture Hours 2 Lab Hours 3 Credits 1 Section

Winter 2017-2018 EE 2060 Linear Circuits – Steady-State II 3 Lecture Hours 2 Lab Hours 4 Credits 2 Sections



Spring 2018 EE 2070 Linear Circuits – Transients 3 Lecture Hours 0 Lab Hours 3 Credits 1 Section

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CURRICULUM VITAE



BE 4820 Biomedical Feedback Control Systems II 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section

Summer 2018 EE 3221 Digital Signal Processing 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section

EE 3720 Control Systems 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section

Fall 2016 EE 2705 Linear Circuits I – DC 2 Lecture Hours 2 Lab Hours 3 Credits 1 Section


EE 3101 Operational Amplifier Design 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section

MA 120 Pre-Calculus 4 Lecture Hours 0 Lab Hours 4 Credits 1 Section

Winter 2016-2017 EE 3220 Digital Signal Processing 3 Lecture Hours 2 Lab Hours 4 Credits 2 Sections


Spring 2017 EE 2050 Linear Circuits – Steady-State I 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section

EE 3101 Operational Amplifier Design 3 Lecture Hours 2 Lab Hours 4 Credits 2 Sections

Summer 2017 EE 3101 Operational Amplifier Design 3 Lecture Hours 2 Lab Hours 4 Credits 1 Section


MA 120 Pre-Calculus 4 Lecture Hours 0 Lab Hours 4 Credits 1 Section

Winter 2015-2016 EE 3220 Digital Signal Processing 3 Lecture Hours 2 Lab Hours 4 Credits 2 Sections


Spring 2016 EE 2503 Linear Circuit Analysis 3 Lecture Hours 0 Lab Hours 3 Credits 2 Sections

EE 3101 Operational Amplifier Design 3 Lecture Hours 2 Lab Hours 4 Credits 2 Sections


Fall 2014 EECE 4510 Digital Signal Processing 3 Lecture Hours 3 Credits 1 Section

ELEN 3020 Linear Systems Analysis 3 Lecture Hours 3 Credits 1 Section

ELEN 4920 Principles of Design 3 Lecture Hours 3 Credits 2 Sections

Spring 2015 ELEN 2020 Electric Circuits 2 3 Lecture Hours 3 Credits 1 Section

ELEN 4560 Introduction to Communication Systems 3 Lecture Hours 3 Credits 1 Section

ELEN 4998 Senior Design Project 3 Lecture Hours 3 Credits 2 Sections

Fall 2013 EECE 2010 Electric Circuits 1 3 Lecture Hours 3 Credits 1 Section



Spring 2014 ELEN 2020 Electric Circuits 2 3 Lecture Hours 3 Credits 1 Section

ELEN 4560 Introduction to Communication Systems 3 Lecture Hours 3 Credits 1 Section


Fall 2012 EECE 2030 Digital Electronics 4 Lecture Hours 4 Credits 1 Section



Spring 2013 EECE 4510 Digital Signal Processing 3 Lecture Hours 3 Credits 1 Section

ELEN 2020 Electric Circuits 2 3 Lecture Hours 3 Credits 1 Section


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CURRICULUM VITAE


Summer 2012 eOpus SSS Calculus 5 Lecture Hours 0 Credits 1 Section

eOpus SSS College Math 5 Lecture Hours 0 Credits 1 Section

eOpus SSS Statistics 5 Lecture Hours 0 Credits 1 Section

eOpus UBMS Senior Math 5 Lecture Hours 0 Credits 1 Section

Fall 2007 EECE 157 Digital Signal Processing 3 Lecture Hours 3 Credits 1 Section

University of Wisconsin-Milwaukee

Fall 2003 MATH 106 Contemporary Applications of Mathematics 3 Lecture Hours 3 Credits 2 Sections

Spring 2004 MATH 105 Intermediate Algebra 3 Lecture Hours 3 Credits 2 Sections

Fall 2002 MATH 105 Intermediate Algebra 3 Lecture Hours 3 Credits 2 Sections

Spring 2003 MATH 175 Mathematical Explorations for Elementary Teachers I 3 Lecture Hours 3 Credits 2 Sections

Summer 2003 MATH 211 Survey in Calculus and Analytic Geometry 4 Lecture Hours 4 Credits 1 Section

COURSES TUTORED


Fall 2008 CHEM 001 General Chemistry 1 4 Lecture Hours 4 Credits 6 Groups

MATH 071 Elements of Calculus 1 3 Lecture Hours 3 Credits 1 Group

MATH 073 Calculus for Biological Sciences 3 Lecture Hours 3 Credits 1 Group

MATH 080 Calculus 1 4 Lecture Hours 4 Credits 5 Groups

MATH 082 Calculus 3 4 Lecture Hours 4 Credits 1 Group

MATH 083 Differential Equations 4 Lecture Hours 4 Credits 1 Group

Spring 2009 CHEM 002 General Chemistry 2 4 Lecture Hours 4 Credits 9 Groups

MATH 071 Elements of Calculus 1 3 Lecture Hours 3 Credits 3 Groups

MATH 073 Calculus for Biological Sciences 3 Lecture Hours 3 Credits 1 Group



MATH 083 Differential Equations 4 Lecture Hours 4 Credits 4 Groups

MATH 087 Differential Equations for Biomedical Engineers 3 Lecture Hours 3 Credits 1 Group


MATH 070 Finite Mathematics 3 Lecture Hours 3 Credits 5 Groups




MATH 071 Elements of Calculus 1 3 Lecture Hours 3 Credits 2 Groups




Summer 2008 MATH 071 Elements of Calculus 1 3 Lecture Hours 3 Credits 1 Group

MATH 082 Calculus 3 4 Lecture Hours 4 Credits 1 Group

MATH 083 Differential Equations 4 Lecture Hours 4 Credits 1 Group


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CURRICULUM VITAE







MATH 070 Finite Mathematics 3 Lecture Hours 3 Credits 1 Student

MATH 071 Elements of Calculus 1 3 Lecture Hours 3 Credits 1 Group

MATH 072 Elements of Calculus 2 3 Lecture Hours 3 Credits 1 Student

MATH 080 Calculus 1 4 Lecture Hours 4 Credits 1 Student

MATH 081 Calculus 2 4 Lecture Hours 4 Credits 1 Student


MATH 121 Linear Algebra and Matrix Theory 3 Lecture Hours 3 Credits 1 Student








Fall 2001 CHEM 001 General Chemistry 1 4 Lecture Hours 4 Credits 2 Students

MATH 080 Calculus 1 4 Lecture Hours 4 Credits 2 Students


PHYS 003 General Physics with Calculus 1 4 Lecture Hours 4 Credits 2 Students

Spring 2002 CHEM 002 General Chemistry 2 4 Lecture Hours 4 Credits 2 Students


MATH 083 Differential Equations 4 Lecture Hours 4 Credits 2 Students


Fall 1999 CHEM 001 General Chemistry 1 4 Lecture Hours 4 Credits 2 Students




Spring 2000 CHEM 002 General Chemistry 2 4 Lecture Hours 4 Credits 2 Students


MATH 083 Differential Equations 4 Lecture Hours 4 Credits 2 Students


University of Wisconsin-Milwaukee

Fall 2003 MATH 211 Survey in Calculus and Analytic Geometry 4 Lecture Hours 4 Credits 2 Students

MATH 225 Calculus with Pre-Calculus I 4 Lecture Hours 4 Credits 2 Students

MATH 231 Calculus with Analytic Geometry I 4 Lecture Hours 4 Credits 2 Students

MATH 233 Calculus with Analytic Geometry III 4 Lecture Hours 4 Credits 2 Students

Spring 2004 MATH 211 Survey in Calculus and Analytic Geometry 4 Lecture Hours 4 Credits 2 Students

MATH 226 Calculus with Pre-Calculus II 4 Lecture Hours 4 Credits 2 Students

MATH 232 Calculus with Analytic Geometry II 4 Lecture Hours 4 Credits 2 Students

MATH 234 Linear Algebra and Differential Equations 4 Lecture Hours 4 Credits 2 Students

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CURRICULUM VITAE


Fall 2002 MATH 211 Survey in Calculus and Analytic Geometry 4 Lecture Hours 4 Credits 2 Students

MATH 225 Calculus with Pre-Calculus I 4 Lecture Hours 4 Credits 2 Students

MATH 231 Calculus with Analytic Geometry I 4 Lecture Hours 4 Credits 2 Students

MATH 233 Calculus with Analytic Geometry III 4 Lecture Hours 4 Credits 2 Students

Spring 2003 MATH 211 Survey in Calculus and Analytic Geometry 4 Lecture Hours 4 Credits 2 Students

MATH 226 Calculus with Pre-Calculus II 4 Lecture Hours 4 Credits 2 Students

MATH 232 Calculus with Analytic Geometry II 4 Lecture Hours 4 Credits 2 Students

MATH 234 Linear Algebra and Differential Equations 4 Lecture Hours 4 Credits 2 Students

MATH 211 Survey in Calculus and Analytic Geometry 4 Lecture Hours 4 Credits 2 Students

RESEARCH INTERESTS

Applied Mathematics Artificial Intelligence Artificial Neural Networks Bioacoustics

Biomathematics Computational Mathematics Control Systems Data Mining

Deep Learning Higher Education Image Processing Machine Learning

Mathematical Models Natural Language Processing Numerical Analysis Optimization

Pattern Recognition Speech Enhancement Speech Recognition Statistical Signal Processing

UNDERGRADUATE ADVISING

Senior Design

Kellen Carey, Patrick Cecka, Raoul Chinang, Darryl Ramgoolam, Ayuni Rashid, Adam Stroud, and Joseph Vonderhaar (Team Members) with

Marek Trawicki, Chandana Tamma, and Andrew Williams (Advisors). MU-L8 (em●u●late) Humanoid Robot (RoboCup Teen-Size Autonomous

Soccer Humanoid Robots). Marquette University, January 2015 – May 2015.

Justin Hoffmann, Glenn Lawrence, Jack Marotta, Christopher Mojek, and Daniel Polfer (Team Members) with Marek Trawicki and Michael

Belger and Justin Smith (Advisors). Direct Supply TELS and Google Glass System (Mobile, Web-Based Senior Living Building Management

System). Marquette University and Direct Supply, January 2015 – May 2015.

Nick Manfreda, Ryan Naugle, Arthur Semjonov, and Ryan Vogt (Team Members) with Marek Trawicki (Advisor). LIMO App (App for

Requesting LIMO Campus Transportation). Marquette University, August 2014 – May 2015.

Chris Foyer, Brian LaBelle, Steven Nguyen, Nicolas Ossa Velandia, and Anthony Vang (Team Members) with Marek Trawicki and Doralie

Lapre, Andrew Lindgren, and Andrew Mansfield (Advisors). Smartphone-Based Embedded Control Interface for Values (App for Controlling

Water Treatment Value Operation). Marquette University and Pentair, August 2014 – May 2015.

Conor Gagliardi, Olufemi Okanlomo, Kyle Leary, Nate Rivera, and Jake Unterberger (Team Members) with Marek Trawicki and Doralie Lapre,

Andrew Lindgren, and John Stewart (Advisors). Tiny Low GPM Filtration Flow Meter (Small, Low-Cost, Slow Flow Meter for POU Drinking

Water Systems). Marquette University and Pentair, August 2014 – May 2015.

Jacob Anderson, Jake Cohen, Andrew Hill, Christopher Pivonka, and Timothy Smith (Team Members) with Marek Trawicki and Michael

Anthony, Justin Lemminger, and Joshua Matson (Advisors). Laundry Connect and WashMarq (Dormitory Washer/Dryer Availability System).

Marquette University and Rockwell Automation, August 2013 – May 2014.

James Gramz, Brian Leetzow, Patrick Millar, Rebecca Kohl, Justin Lemminger, and Ashley Milner (Team Members) with Marek Trawicki and

Michael Anthony and Joshua Matson (Advisors). Laundry Connect and WashMarq (Dormitory Washer/Dryer Availability System). Marquette

University and Rockwell Automation, August 2012 – May 2013.

Vincenzo Alberico, Brendan Burns, Chris Hudy, and Hassan Qreshi (Team Members) with Marek Trawicki (Advisor). Emergency Vehicle

Warning System (In-Vehicle Alert System of Emergency Vehicles). Marquette University, August 2013 – May 2014.

Kirk Fisch, Jacob Heino, Mike Kmiecik, Matt Toellner, and Juan Torres (Team Members) with Marek Trawicki and Gennadi Sizov (Advisors).

Dynamometer for Electric Motor-Drive System Design (Dyne for Loading and Testing of Electric Motors and Drive Systems). Marquette

University and Rockwell Automation, August 2012 – December 2013.

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CURRICULUM VITAE


Lucas Belcher, Brian Chipouras, Phillip Schmanski, Taylor Saalsaa, and Sam VanBeckum (Team Members) with Marek Trawicki and Brian

Wroblewski (Advisors). GolfPipeline (Social Networking Website for Members of the Golfing Community). Marquette University and

Golfpipeline.com, August 2012 – May 2013.

PUBLICATIONS

Abstracts

Marek B. Trawicki and Michael T. Johnson. “Distributed Multichannel Speech Enhancement Based on Perceptually-Motivated Bayesian

Estimators for the Spectral Amplitude.” Milwaukee Chapter of Sigma Xi Advances in the Sciences Poster Symposium, Milwaukee, WI, April 2,

2009.

Marek B. Trawicki and Michael T. Johnson. “Distributed Multichannel Feature Enhancement.” Marquette University’s Forward Thinking

Poster Session, Milwaukee, WI, December 2, 2008.

Marek B. Trawicki, Yao Ren, Michael T. Johnson, and Tomasz S. Osiejuk. “Distributed Multi-Microphone Speech Enhancement of Ortolan

Bunting (Emberiza Hortulana) Vocalizations.” 2nd International Conference on Acoustic Communication by Animals, Corvallis, OR, August 13,

2008.

Marek B. Trawicki and Michael T. Johnson. “Multi-Channel Speech Enhancement with Minimum Mean-Square Error Log Spectral Amplitude

and Phase Estimation.” Milwaukee Chapter of Sigma Xi Advances in the Sciences Poster Symposium, Milwaukee, WI, April 3, 2008.

Marek B. Trawicki, Michael T. Johnson, and Tomasz S. Osiejuk. “Distributed Multi-Microphone (DMM) Classification.” Acoustical Society

of America, Salt Lake City, UT, June 4, 2007.

Marek B. Trawicki. “Multi-Channel Feature Enhancement for Robust Speaker Identification.” Milwaukee Chapter of Sigma Xi Advances in

the Sciences Poster Symposium, Milwaukee, WI, April 25, 2007.

Dissertations

Marek B. Trawicki. “Distributed Multichannel Processing for Signal Enhancement.” Ph.D. Dissertation, Department of Electrical and Computer

Engineering, Marquette University, Milwaukee, WI, May 17, 2009.

Industrial Reports

Marek B. Trawicki. “PJM Low-Level Controller Algorithm.” Application Technology and Advanced Development, Building Efficiency,

Johnson Controls Inc., Milwaukee, WI, pages 1-16, July 22, 2015.

Peer Reviews

Marek B. Trawicki. “Multispecies Discrimination of Frogs (Order Anura) using Hidden Markov Models (HMMs).” Pattern Analysis and

Applications, Submitted February 2021.

Marek B. Trawicki. “Multispecies Discrimination of New World Warblers (Family Parulidae) using Hidden Markov Models (HMMs).”

Intelligent Systems with Applications, Submitted February 2021.

Marek B. Trawicki. “Multispecies Discrimination of Birds (Class Aves) using Hidden Markov Models (HMMs).” Pattern Recognition Letters,

Submitted February 2021.

Marek B. Trawicki. “Multispecies Discrimination of Seals (Pinnipeds) using Hidden Markov Models (HMMs).” Bioacoustics, Submitted

February 2021.

Marek B. Trawicki. “Automatic Age Recognition, Call-Type Classification, and Speaker Identification of Zebra Finches (Taeniopygia Guttata)

using Hidden Markov Models (HMMs).” The Journal of the Acoustical Society of America, Submitted February 2021.

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CURRICULUM VITAE


Marek B. Trawicki. “Deterministic MSEIRS Epidemic Model for Modeling Vital Dynamics, Vaccinations, and Passive and Temporary

Immunity.” Computational and Applied Mathematics, Submitted February 2021.

Marek B. Trawicki. “Automatic Gender Recognition and Speaker Identification of Rhesus Macaques (Macaca Mulatta) using Hidden Markov

Models (HMMs).” The Journal of the Acoustical Society of America, Submitted January 2021.

Marek B. Trawicki. “Multispecies Discrimination of Dolphins (Cetaceans) using Hidden Markov Models (HMMs).” Ecological Modelling,

Submitted December 2020.

Refereed Conferences

Marek B. Trawicki and Michael T. Johnson. “Improvements of the Beta-Order Minimum Mean-Square Error (MMSE) Spectral Amplitude

Estimator using Chi Priors.” 13th Annual Conference of the International Speech Communication Association (Interspeech), Portland, OR,

September 9-13, 2012.

Marek B. Trawicki, Michael T. Johnson, An Ji, and Tomasz S. Osiejuk. “Multichannel Speech Recognition using Distributed Microphone

Signal Fusion Strategies.” 3rd International Conference on Audio, Language, and Image Processing (ICALIP), Shanghai, China, July 16-18, 2012.

Marek B. Trawicki and Michael T. Johnson. “Optimal Distributed Microphone Phase Estimation.” IEEE International Conference on Acoustics,

Speech, and Signal Processing (ICASSP), Taipei, Taiwan, R.O.C., April 19-24, 2009.

Craig A. Struble, Richard J. Povinelli, Michael T. Johnson, Dina Berchansky, Jidong Tao, and Marek B. Trawicki. “Combined Conditional

Random Fields and n-Gram Language Models for Gene Mention Recognition.” 2nd BioCreative Challenge Evaluation Workshop, Madrid, Spain,

April 23-25, 2007.

Patrick J. Clemins, Marek B. Trawicki, Kuntoro Adi, Jidong Tao, and Michael T. Johnson. “Generalized Perceptual Features for Vocalization

Analysis Across Multiple Species.” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France,

May 15-19, 2006.

Marek B. Trawicki, Michael T. Johnson, and Tomasz S. Osiejuk. “Automatic Song-Type Classification and Speaker Identification of Norwegian

Ortolan Bunting (Emberiza Hortulana) Vocalizations.” IEEE International Workshop on Machine Learning for Signal Processing (MLSP),

Mystic, CT, September 28-30, 2005.

Refereed Journals

Marek B. Trawicki. “Multispecies Discrimination of Whales (Cetaceans) using Hidden Markov Models (HMMs).” Ecological Informatics,

DOI: 10.1016/j.ecoinf.2021.101223, March 2021.

Marek B. Trawicki. “Deterministic SEIRS Epidemic Model for Modeling Vital Dynamics, Vaccinations, and Temporary Immunity.”

Mathematics, DOI: 10.3390/math5010007, January 2017.

Marek B. Trawicki and Michael T. Johnson. “Multichannel MMSE Wiener Filter using Complex Real and Imaginary Spectral Coefficients for

Distributed Microphone Speech Enhancement.” International Journal of Theoretical and Applied Mathematics, volume 2, issue 2, pages 115-

120, December 2016.

Marek B. Trawicki and Michael T. Johnson. “Beta-Order Minimum Mean-Square Error Multichannel Spectral Amplitude Estimation for Speech

Enhancement.” International Journal of Adaptive Control and Signal Processing, DOI: 10.1002/acs.2533, January 2015.

Marek B. Trawicki and Michael T. Johnson. “Speech Enhancement using Bayesian Estimators of the Perceptually-Motivated Short-Time

Spectral Amplitude (STSA) with Chi Speech Priors.” Speech Communication, volume 57, pages 101-113, February 2014.


Estimators of the Spectral Amplitude.” IET Signal Processing, volume 7, issue 4, pages 337-344, June 2013.

Marek B. Trawicki and Michael T. Johnson. “Distributed Multichannel Speech Enhancement with Minimum Mean-Square Error Short-Time

Spectral Amplitude, Log-Spectral Amplitude, and Spectral Phase Estimation.” Signal Processing, volume 92, issue 2, pages 345-356, February

2012.

Page 13 of 15

CURRICULUM VITAE


Theses

Marek B. Trawicki. “The Computational Solution to the Radiosity Equation.” M.S. Thesis, Department of Mathematical Sciences, University

of Wisconsin-Milwaukee, Milwaukee, WI, pages 1-96, May 13, 2005.

POSTERS

Conferences

Marek B. Trawicki and Michael T. Johnson. “Improvements of the Beta-Order Minimum Mean-Square Error (MMSE) Spectral Amplitude

Estimator using Chi Priors.” 13th Annual Conference of the International Speech Communication Association (Interspeech), Portland, OR,

September 11, 2012.

Marek B. Trawicki, Michael T. Johnson, An Ji, and Tomasz S. Osiejuk. “Multichannel Speech Recognition using Distributed Microphone

Signal Fusion Strategies.” 3rd International Conference on Audio, Language, and Image Processing (ICALIP), Shanghai, China, July 18, 2012.

Marek B. Trawicki and Michael T. Johnson. “Optimal Distributed Microphone Phase Estimation.” IEEE International Conference on Acoustics,

Speech, and Signal Processing (ICASSP), Taipei, Taiwan, R.O.C., April 21, 2009.

Symposiums


Estimators for the Spectral Amplitude.” Milwaukee Chapter of Sigma Xi Advances in the Sciences Poster Symposium, Milwaukee, WI, April 2,

2009.

Marek B. Trawicki and Michael T. Johnson. “Distributed Multichannel Feature Enhancement.” Marquette University’s Forward Thinking

Poster Session, Milwaukee, WI, December 2, 2008.

Marek B. Trawicki and Michael T. Johnson. “Multi-Channel Speech Enhancement.” Milwaukee Chapter of Sigma Xi Advances in the Sciences

Poster Symposium, Milwaukee, WI, April 3, 2008.

Marek B. Trawicki. “Multi-Channel Feature Enhancement for Robust Speaker Identification.” Milwaukee Chapter of Sigma Xi Advances in

the Sciences Poster Symposium, Milwaukee, WI, April 25, 2007.

PRESENTATIONS

Marek B. Trawicki. “Distributed Multichannel Processing for Speech Enhancement.” Doctoral Defense, Department of Electrical and Computer

Engineering, Marquette University, Milwaukee, WI, March 19, 2009.

Marek B. Trawicki, Yao Ren, Michael T. Johnson, and Tomasz S. Osiejuk. “Distributed Multi-Channel Speech Enhancement of Ortolan

Bunting (Emberiza Hortulana) Vocalizations.” 2nd International Conference on Acoustic Communication by Animals, Corvallis, OR, August 13,

2008.

Marek B. Trawicki. “Feature Compensation for Robust Speech Recognition.” Speech Group Seminar, Department of Electrical and Computer

Engineering, Marquette University, Milwaukee, WI, July 9, 2008.

Marek B. Trawicki. “Multi-Channel Speech Processing.” GAANN Seminar, Department of Electrical and Computer Engineering, Marquette

University, Milwaukee, WI, April 14, 2008.

Marek B. Trawicki. “Multi-Channel Speech Enhancement (MCSE).” Speech Group Seminar, Department of Electrical and Computer

Engineering, Marquette University, Milwaukee, WI, January 22, 2008.

Marek B. Trawicki. “Speech Enhancement.” Microwave Seminar, Department of Electrical and Computer Engineering, Marquette University,

Milwaukee, WI, November 16, 2007.

Page 14 of 15

CURRICULUM VITAE


Marek B. Trawicki. “Multi-Channel Speech Enhancement with Minimum Mean-Square Error Log-Spectral Amplitude Estimator.” Speech

Group Seminar, Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, October 2, 2007.

Marek B. Trawicki. “Distributed Multi-Channel Minimum Mean Square Error Speech Estimation and Feature Compensation for Speaker

Identification.” Oral Doctoral Qualifying Exam, Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI,

August 30, 2007.

Marek B. Trawicki. “Signal Enhancement and Speaker Identification through Distributed Multi-Microphones (DMMs).” Speech Group

Seminar, Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, July 13, 2006.

Marek B. Trawicki. “Animal Identification and Tracking through Intelligent Microphone Arrays.” GAANN Seminar, Department of Electrical

and Computer Engineering, Marquette University, Milwaukee, WI, April 24, 2006.

Marek B. Trawicki. “Automatic Song-Type Classification and Speaker Identification of Norwegian Ortolan Bunting (Emberiza Hortulana)

Vocalizations.” IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Mystic, CT, September 29, 2005.

Marek B. Trawicki. “The Computational Solution to the Radiosity Equation.” Master’s Project Defense, Department of Mathematical Sciences,

University of Wisconsin-Milwaukee, Milwaukee, WI, May 13, 2005.

Kuntoro Adi and Marek B. Trawicki. “HMM-Based Automatic Song-Type Classification & Individual Identification of Norwegian Ortolan

Bunting (Emberiza Hortulana) Vocalizations.” Dr. Dolittle Project Colloquium, Animals Programs Administration and Department of Electrical

and Computer Engineering, Disney’s Animal Kingdom (DAK) and Marquette University, Orlando, FL, November 5, 2004.

AFFILIATIONS

Member, Order of the Engineer (Graduate and Professional Engineer Association), 2012

Member (Full), Sigma Xi (Scientific Research Society), 2010

Member, Tau Beta Pi (Engineering Honor Society), 2008

Member, Engineering Knights of St. Patrick (Engineering Service Honor Society), 2001

Member, Phi Mu Epsilon (Mathematics Honor Society), 2000

Member, Eta Kappa Nu (Electrical Engineering Honor Society), 2000

HONORS & AWARDS

Tutoring Mentor Award, Marquette University, Office of Student Educational Services, 2009

GAANN (Graduates Assistance in Areas of National Need) Fellowship, Marquette University, 2005-2009

Thomas K. Ishii Graduate Fellowship, Marquette University, College of Engineering, 2005

NSF (National Science Foundation) Research Assistantship, Marquette University, 2005

Certification of Appreciation, University of Wisconsin-Milwaukee, Tutoring and Academic Resource Center, 2004

Graduate Alumni Support Award, University of Wisconsin-Milwaukee, Graduate School, 2002

Scholastic Honors, Marquette University, College of Engineering, 2002

Dean’s List, Marquette University, College of Engineering, 1997-2001

LICENSES & CERTIFICATIONS

Academic

Preparing Future Faculty (PFF), Documentation of Teaching Program (DTP), Marquette University, May 2009

Education

Python, Certificate, Kaggle, September 2020

Intro to Machine Learning, Certificate, Kaggle, September 2020

Intermediate Machine Learning, Certificate, Kaggle, September 2020

Data Visualization, Certificate, Kaggle, September 2020

Pandas, Certificate, Kaggle, September 2020

Page 15 of 15

CURRICULUM VITAE


Intro to Deep Learning, Certificate, Kaggle, November 2020

Deep Learning, Certificate, Kaggle, September 2020

Intro to SQL, Certificate, Kaggle, September 2020

Advanced SQL, Certificate, Kaggle, September 2020

Data Cleaning, Certificate, Kaggle, September 2020

Geospatial Analysis, Certificate, Kaggle, September 2020

Machine Learning Explainability, Certificate, Kaggle, September 2020

Microchallenges, Certificate, Kaggle, September 2020

Feature Engineering, Certificate, Kaggle, April 2021

Natural Language Processing, Certificate, Kaggle, September 2020

Intro to Game AI and Reinforcement Learning, Certificate, Kaggle, September 2020

Computer Vision, Certificate, Kaggle, October 2020

Intro to AI Ethics, Certificate, Kaggle, April 2021

SERVICE

College Workshop Program Assistant, College of Engineering, Marquette University, 2006

Open House Demonstration, College of Engineering, Marquette University, 2005

Open House Project, College of Engineering, Marquette University, 2000

Discovery Days Program Assistant, College of Engineering, Marquette University, 1999

Eta Kappa Nu Vice-President and Tutor, College of Engineering, Marquette University, 1999-2000

Community Judge, Badger State Science & Engineering Fair, Marquette University, 2009

Reviewer Applied Acoustics, 2017-Present

Mathematics, 2017-Present

Advances in Difference Equations, 2017-Present

Journal of Intelligent Systems, 2017-Present

IEEE Access, 2017-Present

IEEE Signal Processing Letters, 2016-Present

The Journal of the Acoustical Society of America, 2016-Present

Oxford University Press, 2015-Present

IEEE Transactions on Signal Processing, 2015-Present

IET Signal Processing, 2015-Present

Speech Communication, 2014-Present

CRC Press, 2012-Present

IEEE Transactions on Audio, Speech, and Language Processing, 2009-Present

Documents

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