Andres Kwasinski Headshot

Andres Kwasinski

Professor

Department of Computer Engineering
Kate Gleason College of Engineering
Graduate Program Director

585-475-5139
Office Location

Andres Kwasinski

Professor

Department of Computer Engineering
Kate Gleason College of Engineering
Graduate Program Director

Education

MS, Ph.D., University of Maryland at College Park

Bio

Dr. Andres Kwasinski received in his B.S. in Electrical Engineering from the Buenos Aires Institute of Technology, Buenos Aires, Argentina, and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Maryland, College Park, Maryland. Prior to joining RIT he was with Texas Instruments Inc., the Department of Electrical and Computer Engineering at the University of Maryland, and Lucent Technologies. He is Area Co-Editor (Special Initiatives) for the IEEE Signal Processing Magazine and Chief Editor for the IEEE Signal Processing Repository (SigPort). He has been Editor for the IEEE Transactions on Wireless Communications, Editor for the IEEE Wireless Communications Letters and Guest Associate Editor for IEEE Journal of Selected Topics in Signal Processing and IEEE Access. He was the 2010 IEEE Globecom Workshops Co-Chair and the Chair for the IEEE Multimedia Technical Committee Interest Group on Distributed and Sensor Networks for Mobile Media Computing and Applications.

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585-475-5139

Personal Links

Select Scholarship

Journal Paper
Vashist, Abhishek, et al. "KF-Loc: A Kalman Filter and Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-wave Hardware." IEEE Consumer Electronics Magazine. (2021): -. Print.
Hartpence, Bruce and Andres Kwasinski. "CNN and MLP neural network ensembles for packet classification and adversary defense." Intelligent and Converged Networks 2. 1 (2021): 66-82. Print.
Do, Dinh-Thuan, et al. "Performance Analysis of Clustering Car-Following V2X System with Wireless Power Transfer and Massive Connections." IEEE Internet of Things Journal. (2021): -. Print.
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Full Patent
Kwasinski, Andres and Fatemeh Shah Mohammadi. "Radio spectrum sharing leveraging link adaptation in primary network." U.S. Patent 11032826. 8 Jun. 2021.
Book Chapter
Kwasinski, Andres, Wenbo Wang, and Fatemeh Shah Mohammadi. "Reinforcement Learning for Resource Allocation in Cognitive Radio Networks." Machine Learning for Future Wireless Communications. Ed. Fa-Long Luo. N/A, US: Wiley/IEEE Press, 2020. 27-44. Print.
Kwasinski, Andres, Wenbo Wang, and Fatemeh Shah Mohammadi. "Reinforcement Learning for Resource Allocation in Cognitive Radio Networks." Machine Learning for Future Wireless Communications. Ed. Fa-Long Luo. New York, NY: Wiley, 2019. 27-44. Print.
Published Conference Proceedings
Mamun, Sayed Ashraf, et al. "What Can Ail Thee: New and Old Security Vulnerabilities of Wireless Datacenters." Proceedings of the GLOBECOM 2020. Ed. IEEE. Virtual, Virttual: n.p., 2020. Print.
Mamun, Sayed Ashraf, et al. "Security Vulnerabilities of Server-Centric Wireless Datacenters." Proceedings of the 2020 IEEE Conference on Communications and Network Security (CNS). Ed. IEEE. Avignon - Virtual, France: IEEE, 2020. Print.
Hartpence, Bruce and Andres Kwasinski. "A Convolutional Neural Network Approach to Improving Network Visibility." Proceedings of the 29th Wireless and Optical Communications Conference (WOCC). Ed. IEEE. Newark - virtual, USA: IEEE, 2020. Print.
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Provisional Patent
Kwasinski, Andres and Fatemeh Shah Mohammadi. "Radio Spectrum Sharing Leveraging Link Adaptation in Primary Network." U.S. Provisional Patent Application 16452706. 26 Dec. 2019.
Ganguly, Amlan, et al. "Direct Server-to-Server Wireless Data Center Network and Method thereof." U.S. Provisional Patent Application 16388007. 24 Oct. 2019.
Published Review
Kwasinski, Andres. "Foundations of Signal Processing [Book Reviews]." Rev. of Foundations of Signal Processing [Book Reviews], ed. Cambridge University Press. IEEE Signal Processing Magazine 2016: 163-164. Print.
Invited Keynote/Presentation
Kwasinski, Andres. "Cross-Layer Framework in the Internet of Things for Cyber-Physical Systems." SPIE Defense+Commercial Sensing conference. SPIE. Baltimore, MD. 18 Apr. 2016. Conference Presentation.
Kwasinski, Andres. "Microgrid-based Power Infrastructure for Integrated Energy and Cellular Service Management." IEEE 5G Roadmap Workshop. IEEE. Washington DC, Washington DC. 8 Dec. 2016. Conference Presentation.
Kwasinski, Andres. "A Framework for Cross-Layer Technology Implementation based on the Cognitive and Docitive Radio Paradigms." Centre Tecnologic de Telecomunicacions de Catalunya. Centre Tecnologic de Telecomunicacions de Catalunya. Casteldelfels, Barcelona, Spain. 25 Oct. 2011. Address.
Journal Editor
Kwasinski, Andres, ed. IEEE Transactions on Wireless Communications. : n.p., 2016. Print.
Kwasinski, Andres, ed. IEEE Wireless Communications Letters. : n.p., 2016. Print.
Kwasinski, Andres, ed. IEEE Signal Processing Magazine. : n.p., 2016. Print.
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Full Length Book
Su, G.M., et al. 3D Visual Communication. 1st ed. : Wiley, 2013. Print.
Liu, K. J. R., et al. Cooperative Communications and Networking. Chinese Edition ed. Beijing, China: Cambridge University Press, 2011. Print.
External Scholarly Fellowships/National Review Committee
6/6/2011 - 7/29/2011
     Air Force Research Laboratory
     Amount: $10,400
Published Article
Seddik, K., A. Kwasinskiand K. J. R. Liu. “Asymptotic Distortion Performance of Source-Channel Diversityover Multi-hop and Relay Channels.” IEEE Transactions on Mobile Computing, (2010): 270-287. Web. *
Kwasinski, A.“Enabling User Cooperation Through Embedded Coding and Awareness of Source Content Dynamics.” IEEE International Conference on Audio, Speechand Signal Processing (ICASSP), 2010. 5562-5565. Web. *
Kwasinski, A.“Transmission of TCP Traffic Over User Cooperative Communications in Infrastructure Networks.” 2010 IEEE Wireless Communications and Networking Conference (WCNC). 2010. n.p. Web. *
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Formal Presentation
Merkel, C., D. Kudithipudi, and A. Kwasinski. “Lightweight Energy Prediction Filters for Solar-Powered Wireless Sensor Networks.” 6th International Workshop on Unique Chips and Systems (UCAS-6). Atlanta, GA. 4 December 2010. Presentation. "  *

Currently Teaching

CMPE-570
3 Credits
This course gives an overview of the technologies, architectures, and protocols used to build various types of computer and communication networks. The course emphasizes various network design problems and solution approaches. Specific issues covered include framing and coding, error detection, multiple access control, addressing, routing, flow and congestion control, scheduling, and switching.
CMPE-670
3 Credits
This course gives an overview of the technologies, architectures, and protocols used to build various types of computer and communication networks. The course emphasizes various network design problems and solution approaches. Specific issues covered include framing and coding, error detection, multiple access control, addressing, routing, flow and congestion control, scheduling, and switching.
CMPE-785
0 Credits
Comprehensive Exam
CMPE-790
1 - 9 Credits
Thesis research investigates an independent problem to demonstrate professional maturity. A formal written thesis and an oral defense are required. The student must obtain the approval of an appropriate faculty adviser to guide the thesis before registering.
CMPE-792
3 Credits
Graduate Project is a scholarly undertaking that addresses an immediate and practical problem with tangible outcomes. A formal report, presentation, or demonstration is required. The student must obtain the approval of an appropriate faculty adviser to guide the project before registering.
CMPE-795
0 Credits
The graduate seminar prepares graduate students to effectively conduct their thesis research and expose them to current research in various areas of computer engineering. Current literature topics are reviewed through interactive presentations and discussions.
ECEP-795
1 Credits
This seminar course presents topics of contemporary interest to graduate students enrolled in the program. Presentations include off campus speakers, and assistance with progressing on your research. Selected students and faculty may make presentations on current research under way in the department.
ECEP-796
1 Credits
This course introduces students to foundational methods and skill to conduct research in electrical and computer engineering. The course focuses on the core aspects of all doctoral work, consisting of deep thinking about a problem and the ability to create new knowledge through channeling technical knowledge into creative thinking. From the context of research in electrical and computer engineering, this course complements the technically-oriented courses in PhD programs by introducing students to the craft of research, developing skills in systematic and rigorous deductive reasoning, argumentation, and critical thinking and analysis, and encouraging critical creativity by learning of its elements and associated techniques. Examples and case studies are drawn from different areas of electrical and computer engineering.
ECEP-877
0 Credits
Internship is designed to enhance the educational experience of PhD students through full-time employment. Students must submit a proposal for the internship, to be approved by an employing supervisor and the department prior to enrolling. Students are required to submit an evaluation report at the conclusion of the internship.
ECEP-890
1 - 8 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor. Students must successfully pass the PhD Candidacy examination prior to enrolling in this course
ECEP-892
1 - 8 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor. Students may count a maximum of 9 credits towards degree requirements. If the student enrolls cumulatively in more than 9 credits, the additional credits above 9 will not be counted towards the degree.
ECEP-899
3 Credits
This course is used by students who plan to study a topic on an independent study basis. The student and instructor must prepare a plan of study and method of evaluation for approval by the program director prior to course registration.
ENGR-701
3 Credits
This course emphasizes collaboration in modern research environment and consists of five modules. Students will introduced to the concepts of inter-disciplinary and trans-disciplinary research conducted from both a scientific and an engineering perspective. Students will learn how to write a dissertation proposal, statement of work, timeline for their program of study and the elements of an effective literature review. Students will develop skills related to reviewing and annotating technical papers, conducting a literature search and proper citation. Students will demonstrate an understanding of (a) ethics as it relates to the responsible conduct of research, (b) ethical responsibility in the context of the engineering professions, (c) ethics as it relates to authorship and plagiarism, (d) basic criteria for ethical decision making and (e) identify professional standards and code of ethics relevant to their discipline. Students demonstrate an ability to identify and explain the potential benefits of their research discoveries to a range of stakeholders, including policy makers and the general public.
ENGR-795
1 Credits
This seminar course presents topics of contemporary interest to graduate students enrolled in the program. Presentations include off campus speakers, and assistance with progressing on your research. Selected students and faculty may make presentations on current research under way in the department. All doctoral engineering students enrolled full time are required to attend each semester they are on campus. (Graduate standing in a technical discipline)