Ali Chelli

Ali_Chelli

Postdoctoral Research Fellow
Mobile Communications Group
Department of ICT
Faculty of Engineering and Science
University of Agder

4898 Grimstad
Jon Lilletunsvei 9
Office A2 101
Phone: +47 3723 3075
ali.chelli(at)uia.no

Ali Chelli received his engineering diploma in telecommunications in 2005 from the Higher School of Communication of Tunis, SUP’COM, Tunisia. In June 2007, he graduated from the University of Agder, with a master’s degree in information and communication technology (ICT). His master’s thesis entitled “Modelling of Mobile-To-Mobile MIMO Channels” was awarded as the best thesis in ICT in 2007. He received the Ph.D. degree in ICT from the University of Agder, Norway, in 2013. His Ph.D. dissertation was entitled “Channel Modelling and System Performance Analysis of Vehicle-to-Vehicle Communication Systems”.
He served as a postdoctoral fellow at King Abdullah University of Science and Technology (KAUST) from 2012 to 2014. His research work during this period was devoted to the performance analysis of cooperative relaying and the free space optical communications. In 2015, he was awarded the ERCIM fellowship and joined the Norwegian University of Science and technology (NTNU) as a postdoctoral fellow.
In 2016, he joined the SMART HOME project as a researcher at the institute of electrical systems at NTNU, Norway. His main focus during this period was the development of a wireless sensor network for smart home monitoring. Currently, he is working as a postdoctoral fellow in the Mobile Communication Group at the University of Agder. His current research focus is the development of fall detection systems using advanced signal processing techniques and machine learning.
He has published six journal papers and twenty conference papers in world-renowned journals and conferences. He served as a TPC member for VTC and Globecom and as a reviewer for several IEEE conferences such as Globecom, ICC, VTC, WCNC, and PIMRC. He served as a reviewer for several IEEE journals, such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, and IEEE Communications Letters.

Publications

Dissertation

  • A. Chelli:
    Channel Modelling and System Performance Analysis of Vehicle-to-Vehicle Communication Systems,
    Doctoral dissertations at the University of Agder 62, Kristiansand, Norway, ISBN 9788271177294, 2013.

Book Chapter

  • A. Chelli and M. Pätzold:
    The impact of fixed and moving scatterers on the statistics of MIMO vehicle-to-vehicle channels,
    in Radio Communications, A. Bazzi, Ed. Vienna, Austria: INTECH, Apr. 2010, ch. 3, pp. 51–63, ISBN 978-953-307-091-9.
  • A. Chelli and M. Pätzold:
    A non-stationary MIMO vehicle-to-vehicle channel model derived from the geometrical T-junction model,
    in Vehicular Technologies, M. Almeida, Ed. Vienna, Austria: InTech, Apr. 2011, ISBN 978-953-307-223-4.

Journals

  1. A. Chelli and M. Pätzold:
    A machine learning approach for fall detection based on the instantaneous Doppler frequency,
    IEEE Access, vol. 7, 2019, DOI10.1109/ACCESS.2019.2906693.
  2. A. Chelli and M. Pätzold:
    A machine learning approach for fall detection and daily living
    activity recognition,
    IEEE Access, 2019, DOI10.1109/ACCESS.2019.2906693.
  3. A. Chelli, E. Zedini, M.-S. Alouini, M. Pätzold and I. Balasingham:
    Throughput and delay analysis of HARQ with code combining over double Rayleigh fading channels,
    IEEE Veh. Technol., vol. 67, no. 5, May 2018.
  4. A. Chelli, M. Pätzold:
    A machine learning approach for fall detection and daily living activity recognition,
    in IEEE Access, submitted for publication.
  5. A. Chelli, E. Zedini, M.-S. Alouini, M. Pätzold, I. Balasingham:
    Throughput and delay analysis of HARQ with code combining over double Rayleigh fading channels,
    IEEE Trans. Vehicular Technology, 2018, DOI:10.1109/TVT.2018.2794183.
  6. A. Chelli, M. Bagaa, D. Djenouri, I. Balasingham, T. Taleb:
    One-step approach for two-tiered constrained relay node placement in wireless sensor networks.
    IEEE Wireless Communications Letters, vol. 5 (4), 2016.
  7. A. Chelli, E. Zedini, M.-S. Alouini, J. Barry, John M. Pätzold:
    Performance and delay analysis of hybrid ARQ with incremental redundancy over double Rayleigh fading channels.
    IEEE Transactions on Wireless Communications, vol. 13 (11), 2014.

Conferences

  1. M. Muaaz, A. Chelli, M. Pätzold:
    Wi-Fi-based human activity recognition using convolutional neural network,
    In Proc. 2nd Int. Conf. on Telecom. and Comp. Technol., ICTCT 2020, Hammamet, Tunisia, Mar. 2020 accepted for publication.
  2. M. Muaaz, A. Chelli, M. Pätzold:
    WiHAR: From Wi-Fi channel state information to unobstructive human activity recognition,
    In Proc. 91st Veh. Technol. Conference, VTC 2020-Spring. Antwerp, Belgium, May 2020, accepted for publication.
  3. A. Chelli and M. Pätzold:
    Fall detection based on the instantaneous Doppler frequency:
    A machine learning approach,
    in Proc. IEEE Wireless Communications and Networking, WCNC 2019. Marrakesh, Morocco, Apr. 2019.
  4. A. Chelli, M. Pätzold:
    Recognition of falls and daily living activities using machine learning,
    Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018, Bologna, Italy, Sept. 2018.
  5. M. Bagaa, A. Ksentini, T. Taleb, R. Jantti, A. Chelli, I. Balasingham:
    An efficient D2D-based strategies for machine type communications in 5G mobile systems.
    in Proc. IEEE Wireless Communications and Networking Conference, September 2016.
  6. A. Chelli, M. Pätzold:
    An improved method for estimating the frequency correlation function,
    in Proc. IEEE Wireless Communications and Networking Conference, 2012.
  7. A. Chelli, M. Pätzold:
    A non-stationary MIMO vehicle-to-vehicle channel model derived from the geometrical street model,
    in Proc. IEEE Vehicular Technology Conference, VTC-Fall, 2011.
  8. A. Chelli and M. Pätzold:
    An improved method for estimating the time ACF of a sum of complex plane waves,
    Proc. IEEE Global Communications Conference, IEEE GLOBECOM 2010, Miami, Florida, USA, Dec. 2010, DOI: 10.1109/GLOCOM.2010.5683495.
  9. A. Chelli and M. Pätzold:
    A non-stationary MIMO vehicle-to-vehicle channel model based on the geometrical T-junction model,
    Proc. International Conference on Wireless Communications and Signal Processing, WCSP 2009, Nanjing, China, Nov. 2009.
  10. A. Chelli and M. Pätzold:
    The impact of fixed and moving scatterers on the statistics of MIMO mobile-to-mobile channels,
    Proc. IEEE 69th Vehicular Technology Conference, IEEE VTC2009-Spring, Barcelona, Spain, Apr. 2009.
  11. H Zhiyi, C. Wei, Z. Wei, M. Pätzold, A. Chelli:
    Modelling of MIMO vehicle-to-vehicle fading channels in T-junctions,
    Proc. 3rd European Conference on Antennas and Propagation, EuCAP 2009, Berlin, Germany, March 2009, pp. 652–656.
  12. A. Chelli and M. Pätzold:
    A wideband multiple-cluster MIMO mobile-to-mobile channel model based on the geometrical street model,
    Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2008, Cannes, France, Sept. 2008.
  13. A. Chelli and M. Pätzold:
    A MIMO mobile-to-mobile channel model derived from a geometric street scattering model,
    Proc. 4th IEEE International Symposium on Wireless Communication Systems, ISWCS 2007, Trondheim, Norway, Oct. 2007, pp. 792–797.