Department of Electrical Engineering & Computer Science

Fingerprint Dive into the research topics where Department of Electrical Engineering & Computer Science is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Sensors Engineering & Materials Science
Fusion reactions Engineering & Materials Science
Antennas Engineering & Materials Science
Wireless sensor networks Engineering & Materials Science
Method of moments Engineering & Materials Science
Integral equations Engineering & Materials Science
Communication Engineering & Materials Science
Sensor networks Engineering & Materials Science

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Profiles

No photo of Tomislav Bujanovic

Tomislav Bujanovic

Person: Research

20052018
No photo of Biao Chen

Biao Chen

Person: Academic

19972020
No photo of Chien Yi Roger Chen

Chien Yi Roger Chen

Person: Academic

19852016

Projects 1987 2023

III: Small: Collaborative Research: Resilience Analysis for Core Decomposition in Real-World Networks

Soundarajan, S.

National Science Foundation

10/1/19 → 9/30/22

Project: Research project

Planning IUCRC Syracuse University: Center for High-Assurance Secure Systems and IoT (CHASSI)

Chin, S. K., Du, W., Oh, J. C., Phoha, V. & Tang, Y.

National Science Foundation

10/1/19 → 9/30/20

Project: Research project

Efficient and Fair Decentralized Allocation with Learned Reward/Cost for Multi-agent UAV Route Planning and Resource Management

Qiu, Q.

Air Force Office of Scientific Research

9/1/19 → 8/31/20

Project: Research project

Research Output 1972 2019

3D Capsule Networks for Object Classification from 3D Model Data

Ahmad, A., Kakillioglu, B. & Velipasalar, S., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 2225-2229 5 p. 8645256. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Neural networks

A Copula-Based Uncertainty Modeling of Wind Power Generation for Probabilistic Power Flow Study

Philippe, W. P. J., Eftekharnejad, S. & Ghosh, P. K., Aug 2019, Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019. Institute of Electrical and Electronics Engineers Inc., p. 218-222 5 p. 8859746. (Proceedings of 2019 the 7th International Conference on Smart Energy Grid Engineering, SEGE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wind power
Power generation
Testbeds
Uncertainty
Monte Carlo simulation

Actor-critic deep reinforcement learning for dynamic multichannel access

Zhong, C., Lu, Z., Gursoy, M. C. & Velipasalar, S., Feb 20 2019, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 599-603 5 p. 8646405. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Reinforcement learning
Uncertainty

Press/Media

Ming Gu Ucla

Jian Tang

12/3/19

1 item of Media coverage

Press/Media: Expert Comment

ECS FACULTY AWARDED $1.4 MILLION FROM ENERGY DEPARTMENT TO ADVANCE BUILDING ENERGY MODELING

Edward A Bogucz & Senem Velipasalar

11/14/19

1 item of Media coverage

Press/Media: Expert Comment

PROFESSOR JIAN TANG NAMED A 2019 DISTINGUISHED MEMBER BY THE ASSOCIATION FOR COMPUTING MACHINERY

Jian Tang

11/7/19

1 item of Media coverage

Press/Media: Expert Comment