CS

Cong Shen

Assistant Professor
Unit: School of Engineering and Applied Science
Department: Department of Electrical and Computer Engineering
Office location and address
351 McCormick Rd
Charlottesville, Virginia 22903
CCSS: Collaborative Research: Towards a Resource Rationing Framework for Wireless Federated Learning
Source: U.S. National Science Foundation (NSF)
September 01, 2020 – August 31, 2023
Collaborative Research: SWIFT: SMALL: Learning-Efficient Spectrum Access for No-Sensing Devices in Shared Spectrum
Source: U.S. National Science Foundation (NSF)
September 15, 2020 – August 31, 2023
ECM hydrogel for enhanced biointegration of acellular dermal matrix
Source: PLASTIC SURGERY FOUNDATION, THE
July 01, 2021 – June 30, 2023
Collaborative Research: MLWiNS: Dino-RL: A Domain Knowledge Enriched Reinforcement Learning Framework for Wireless Network Optimization - NSF
Source: U.S. National Science Foundation (NSF)
June 01, 2020 – May 31, 2023
Collaborative Research: MLWiNS: Dino-RL: A Domain Knowledge Enriched Reinforcement Learning Framework for Wireless Network Optimization - Intel
Source: Intel Corporation
July 01, 2020 – June 30, 2022
Secure and privacy-preserving 5G network for connected vehicles
Source: Old Dominion University
January 01, 2021 – December 31, 2021
Efficient Deep Learning Architecture in Mobile Edge Computing
Source: Kneron, Inc.
April 01, 2020 – August 31, 2021
APMA 3100: Probability
Credits: 3
A calculus-based introduction to probability theory and its applications in engineering and applied science. Includes counting techniques, conditional probability, independence, discrete and continuous random variables, probability distribution functions, expected value and variance, joint distributions, covariance, correlation, the Central Limit theorem, the Poisson process, an introduction to statistical inference. Students must have completed APMA 2120 or APMA 2512 Topic #1 Honors Engineering Math II and CS 1110 or CS 1111 or CS 1112
ECE 4501: Special Topics in Electrical and Computer Engineering
Credits: 1–4
A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.
ECE 4784: Wireless Communications
Credits: 3
This is a survey course in the theory and technology of modern wireless communication systems, exemplified in cellular telephony, paging, microwave distribution systems, wireless networks, and even garage door openers. Wireless technology is inherently interdisciplinary, and the course seeks to serve the interests of a variety of students. Prerequisite: ECE 3750 and 4710.
ECE 6501: Topics in Electrical and Computer Engineering
Credits: 3
A first-level graduate course covering a topic not normally covered in the graduate course offerings. The topic will usually reflect new developments in the electrical and computer engineering field. Offering is based on student and faculty interests. Prerequisite: Instructor permission.
ECE 6505: Electrical and Computer Engineering Seminar
Credits: 1
This one-hour weekly seminar course features presentations given by ECE faculty members, to introduce various research areas, topics, and advances in Electrical and Computer Engineering.  It is a one-credit course required for all first-year ECE graduate students. 
ECE 6784: Wireless Communications
Credits: 3
This is a survey course in the theory and technology of modern wireless communication systems, exemplified in cellular telephony, paging, microwave distribution systems, wireless networks, and even garage door openers. Wireless technology is inherently interdisciplinary, and the course seeks to serve the interests of a variety of students. Prerequisites: ECE 3750/3760, and ECE 4710.
ECE 6995: Supervised Project Research
Credits: 3–6
Formal record of student commitment to project research under the guidance of a faculty advisor. A project report is required at the completion of each semester. May be repeated as necessary.
ECE 8897: Graduate Teaching Instruction
Credits: 1–12
For master's students.
ECE 9999: Dissertation
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.