Miguel Bazdresch
Associate Professor
Department of Electrical and Computer Engineering Technology
College of Engineering Technology
585-475-2105
Office Hours
Monday / Wednesday / Friday: 10 AM to 11 AM Thursday: 11 AM to 1 PM Held via Zoom (contact me for link)
Office Location
Miguel Bazdresch
Associate Professor
Department of Electrical and Computer Engineering Technology
College of Engineering Technology
Education
BE, Western Institute of Technology and Higher Studies (Mexico); ME, National Polytechnic Institute (Mexico); Ph.D., National Higher School of Telecommunications (France)
Select Scholarship
Published Conference Proceedings
Greenwood, Lisa, et al. "Problem-Based Learning: A Tale of Three Courses." Proceedings of the ASEE Zone 1 Conference. Ed. NA. Niagara Falls, NY: American Society for Engineering Education, Web.
Gonzalez, Griselda, Joaquin Cortez, and Miguel Bazdresch. "Reduced Complexity Tree-Search Detector for Hybrid Space-Time Codes." Proceedings of the IEEE Western New York Signal and Image Processing Workshop. Ed. IEEE. New York, NY: IEEE, Web.
Bazdresch, Miguel, et al. "Improved OSIC Detector for Hybrid Space-Time Codes Based on Tree Search." Proceedings of the 17th Annual Wireless Telecommunications Symposium. Ed. NA. Phoenix, AZ: n.p., 2018. Web.
Journal Paper
Bazdresch, Miguel, et al. "Low Complexity Maximum-Likelihood Detector for DSTTD Architecture Based on the QRD-M Algorithm." Telecommunication Systems 70. 1 (2018): 55--66. Print.
Bazdresch, Miguel. "An Elucidating Proof That A Matched Filter Is Optimum." International Journal of Electrical Engineering Education. (2018): NA. Web.
Invited Keynote/Presentation
Bazdresch, Miguel. "Software Defined Radio: Applications for Education and Research." 2014 New York State Engineering Technology Association Conference. Niagara County Community College. Niagara Falls, NY. 16 Oct. 2014. Conference Presentation.
Currently Teaching
CPET-121
Computational Problem Solving I
3 Credits
This is the first course in a two-course sequence in computational problem solving of engineering and scientific problems. The problems solved will stress the application of sequence, selection, repetitive, invocation operations, and arrays. The development of proper testing procedures to ensure computational accuracy will be stressed. Students, upon successful completion of this course, will be able to analyze introductory engineering and scientific problems, design, code, test, and document procedural software solutions.
TCET-601
Programming & Problem Solving in Python
3 Credits
This course provides students with the programming, scripting and problem-solving techniques required for other classes in the CNET MS curriculum and to provide the software skills that are required in today’s telecommunication industry. The class will be taught using a programming language that is commonly used in industry today such as Python. The course will cover the following material: Basic programming constructs, Programming best practices, Algorithmic complexity, Data abstraction, Sorting and searching algorithms, Problem solving techniques. Homework assignments will be based upon real-world examples from the telecommunications industry.
TCET-615
Converged Network Concepts
3 Credits
The course provides the student with a solid understanding of access, distribution and backbone network, architecture, equipment and technology related to a variety of service-provided networks and services critical to the operation of converged and IP networks. Passive Optical Networking, Hybrid Fiber Coax technology, multiplexing, modulation schemes, coding, signaling, and networking protocols used in convergence technologies for the delivery of information in a variety of packet and next-generation networks are covered in detail. Students may not take and receive credit for this course if they have already taken CPET-515.
TCET-790
Thesis
3 Credits
This course continues research work started in TCET-788 Thesis Planning after completion of that initial research and documentation. The MSTET graduate thesis is a document that describes and presents the results of scholarly research in the field of telecommunications. The results of a MSTET graduate thesis provide new knowledge, processes, software or other assets that advance the state of the art of telecommunications, even in a modest way. (Department consent required)
TCET-797
Graduate Project
3 Credits
The MSTET graduate project describes and presents the results of scholarly research in the field of telecommunications. The results of a MSTET graduate project provide new knowledge, processes, software, or other assets that advance the state of the art of telecommunications or organize or implement existing knowledge in a unique and useful way. Department permission is required.