Dr.Fei Qin is currently working as a professor in the department of Electronic and Communication, University of Chinese Academy of Science. He received his PhD degree from University College London, 2012, the BEng in Information Engineering from Huazhong University of Sci and Tech, 2004 and MEng in Electronic Engineering from Beijing Institute of Tech,2006. Prior to that, he served as Product Manager at Crossbow Technology, Beijing Rep. Office from 2006 to 2008.

His current research interest is the joint optimization method of wireless network and information systems. 

2008-2012 University College London Ph.D

2004-2006 Beijing Inst. of Tech. M.Phill

2000-2004 Huazhong Univ. of Sci. & Tech. B.Sc

   

2012-now  University of Chinese Academy of Sciences  Lecturer, Associate Professor, Professor

2006-2008 Crossbow Tech. Beijing Rep Office    Product Manager 

Spring term 
  System Simulation 

  Signal and Systems

Autumn term

  Embedded Systems

   

[1]  Y. Xiao, D. Zhang, Y. Wang, X. Dai, Z. Huang, W. Zhang, Y. Yang, A. Anjum, F. Qin, " NAIR: An Efficient Distributed Deep Learning Architecture for Resource Constrained IoT System", in IEEE Internet of Things Journal, 2024

[2]  S. Wang, S. Gao, W. Yang, T. H. Loh, Y. Yang, F. Qin, " Area Restoration of Channel Impulse Response with Time Decomposition based Super-Resolution Method", in IEEE Transactions on Wireless Communications (TWC), 2024

[3]    Q. Zhang, T. H. Loh, W. Zhang, Y. Yang, F. Qin, " A New Evaluation Framework for the Performance of Spatial Correlation in MIMO OTA Testing", in IEEE Transactions on Wireless Communications (TWC), 2023

[4]   Sun, X., Yin, D., Qin, F. et al. " Revealing influencing factors on global waste distribution via deep-learning based dumpsite detection from satellite imagery". Nature Communications Vol.14, Issue 1, 2023

[5]    F. Qin, Y. Xiao, X. Sun, X. Dai, W. Zhang, F. Shen, "Inverse-GMM: A Latency Distribution Shaping Method for Industrial Cooperative Deep Learning Systems", in IEEE Journal on Selected Areas in Communications (JSAC), vol. 41, no. 3, pp. 776-788, 2023

[6]    Z. Zhang, X. Dai, G. Shan, G. Li, X. Li, X. Liu, F. Qin, " A Low Cost UV-IR Dual Wavelength Optical Sensor with Chirp Modulation for In-Situ Chemical Oxygen Demand Measurements", in Sensors and Actuators B: Chemical, vol.371,2023

[7]    S. Wang, S. Gao, F. Qin and W. Yang, "A Decomposition-Based Analysis of Wireless Multipath Channel with Full-Wave Simulation," in IEEE Antennas and Wireless Propagation Letters, Vol. 21, No. 8, pp. 1615-1619, Aug. 2022

[8]    F. Liu, X. Dai, M. Jin, W. Zhang, Y. Yang, F. Qin, "TACAN: the Shaping of Delay Distribution under Multi-path Fading Channel for Industrial IoT Systems", in IEEE Internet of Things Journal,Vol.9, Issue 17, 2022

[9]    Q. Zhang, T. H. Loh, W. Zhang, Y. Yang, F. Qin, "A Low-cost and Efficient Single Probe based MIMO OTA Measurement Method", in IEEE Transactions on Instrumentation and Measurement, Vol.71, 2022,

[10]    G. Lu, W. Zhang, Y. Yang, X. Dai, F. Qin, "Non-data Aided Rician Parameters Estimation with Redundant GMM for Adaptive Modulation in Industrial Fading Channel", in IEEE Transactions on Industrial Informatics (TII), Vol.16 Issue 4, 2022

[11] J. Wei, F. Qin, G. Li, X. Li, X. Liu, X. Dai, "Chirp modulation enabled turbidity measurement for large scale monitoring of fresh water", in Measurement, Vol.184, 2021

[12] Y. Li, F. Qin, X. Wang, X. Lu, Z. Chu, “Feed-forward Timing Estimation for Burst Signals in Non-cooperative Communication", in IET Communications, Vol.14 Issue 17, 2871-2877,2020

[13] Q. Zhang, G. Lu, W. Zhang, F. Shen, J. Jiao, F. Qin, “Non-Data Aided Rician Parameters Estimation in Temporal Fading Channel With 3 DoFs Gaussian Mixture Model", in IEEE Access, 2019

[14] Y. Yang, Y. Li, W., Zhang, F. Qin, P. Zhu, C. Wang, “Generative Adversarial Network-based Wireless Channel Modelling: Challenges and Opportunities", in IEEE Communications Magazine, Vol. 57, Issue 3, 2019

[15] F. Qin, Q. Zhang, W. Zhang, Y. Yang, J. Ding, X, Dai, “Link Quality Estimation in Industrial Temporal Fading Channel with Augmented Kalman Filter”, in IEEE Transactions on Industrial Informatics (TII), Vol. 15, Issue 4, 2019

[16] P. Wei, F. Qin, F. Wan, Y. Zhu, J. Jiao and Q. Ye, "Correlated Topic Vector for Scene Classification", in IEEE Transactions on Image Processing (TIP), vol. 26, no. 7, pp. 3221-3234, 2017

[17] M. Shi , F. Qin, Q. Ye , Z. Han , J. Jiao , "A Scalable Convolutional Neural Network for Task-Specified Scenarios via Knowledge Distillation", in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)，New Orleans，2017

[18] T. H. Loh, K. Liu, F. Qin, H. Liu, "Adaptive routing in wireless sensor network using smart antennas", in IET Wireless Sensor Systems, Vol. 4, Issue 4, 2014

[19] F. Qin, J. E. Mitchell, "AS-MAC: Utilising the Adaptive Spreading Code Length for the MAC protocol design of WSNs", in ACM Transaction on Sensor Networks (TOSN), Vol.10, Issue 1, 2013

[20] F. Qin, X. Dai, and J. E. Mitchell, "Effective-SNR Estimation for Wireless Sensor Network Using Kalman Filter", in Ad Hoc Networks, Vol.11, Issue 3, 2013

[21] H. Liu, S. Gao, T. H. Loh, F. Qin, Low-Cost Intelligent Antenna with Low Profile and Broad Bandwidth", in IET Microwaves, Antennas & Propagation, Vol.7, Issue 5, 2013

[22] C.K Chau, F. Qin, S. Samir, M. H. Wahab, Y. Yang, "Harnessing Battery Recovery Effect in Sensor Networks", in IEEE Journal on Selected Areas in Communications (JSAC), Vol. 28, No. 7, 2010