Senior research associate

PD Dr.-Ing. Hamza Alkhatib
Senior Research Staff
Address
Nienburger Straße 1-4
30167 Hannover
Building
Room
PD Dr.-Ing. Hamza Alkhatib
Senior Research Staff
Address
Nienburger Straße 1-4
30167 Hannover
Building
Room

Research and teaching focus

  • Bayesian modelling and Monte Carlo methods
  • Uncertainty modelling of geodetic evaluation methods
  • Computational and simulation-based geodetic data analysis
  • Filtering methods in the state space

Key projects so far

  • Bayesian adaptive robust adjustment of multivariate geodetic measurement processes with data gaps and nonstationary coloured noise; DFG project in cooperation with Prof. Dr.-Ing. Boris Kargoll (Anhalt University of Applied Sciences) and Prof. Dr.-Ing. Jens-André Paffenholz (Clausthal University of Technology)
  • Research Training Group (GRK 2159) i.c.sens: Integrity and Collaboration in Dynamic Sensor Networks
  • Measurement system analysis and model-based sensor fusion for hydrographic water change zone monitoring using unmanned carrier systems (WaMUT); funded by the Bundesanstalt (federal agency) für Gewässerkunde (BfG)
  • 3D HydroMapper; funding programme for Innovative Hafentechnologien (innovative port technologies) (IHATEC) supported by the Federal Ministry of Transport and Digital Infrastructure (BMVI)
  • Property valuation in locations with low purchase prices using a robust Bayesian hedonic model; DFG project in cooperation with Prof. Dr Alexandra Weitkamp (TU Dresden)

Dissertation

  • Alkhatib, H. (2007) On Monte Carlo methods with applications to the current satellite gravity missions, Dissertation. Universität Bonn, Bonn. Institut für Geodäsie und Geoinformation.

Habilitation

  • Alkhatib, H. (2020) Advanced methods and algorithms for computer-aided geodetic data analysis, Habilitation. Scientific papers of the Department of Geodesy and Geoinformatics at Leibniz Universität Hannover ISSN 0174-1454, No. 367, Hannover 2020.
  • Professional career

    Since September 2007

    Head of working group Expert-based data analysis and quality processes Engineering geodesy and geodetic evaluation methods

    30.10.2020

    Habilitation: Advanced methods and algorithms for computer-aided geodetic data analysis

    Main supervisor: Prof. Dr.-Ing. Ingo Neumann, co-supervisors: Prof. Dr.-Ing. habil.Hansjörg Kutterer (Karlsruhe Institute of Technology); Prof. Dr.-Ing. Nico Sneeuw (University of Stuttgart); Prof. Dr.-Ing. Michael Beer (Leibniz University Hannover)

    January 2002 to August 2007:

    Research assistant at the Institute for Geodesy and Geoinformation, University of Bonn, Department of Theoretical Geodesy

    01.06.2007

    Dissertation: On Monte Carlo Methods with Applications to the Current Satellite Gravity Missions, Supervisor: Prof. Dr. techn. Wolf-Dieter Schuh, Co-supervisor: Prof. Dr.-Ing. Jürgen Kusche

    April 2000 - September 2005

    Studied surveying at the Karlsruhe Institute of Technology (KIT)

    September 1988 - September 1992

    Studied Civil Engineering at the Faculty of Civil Engineering, University of Damascus

  • Memberships and positions
    • Member of the International Organisation for Standardisation (ISO): Group ISO/TC 172/SC 06/WG 04 "Field procedures and ancillary devices" and Group ISO/TC 172/SC 06/WG 05
    • Member of the German Institute for Standardisation (DIN, NA 005-03-01 AA "Geodetic instruments and sensors")
    • Member of the IAG Study Group IC-SG2 and IC SG3 of the Intercommission Committee in Theory (ICCT)
    • Peer reviewer for various international geodetic and non-geodetic journals (Journal of Geodesy, Journal of applied Geodesy, sesnsors, Remote Sensing, Mathematics, ...)
  • Prizes and awards
    • Award from the DAAD for outstanding achievements of foreign students (2000)
    • Award from the Syrian Ministry of Academic Education for outstanding student achievements (1998)

Courses

  • Ausgleichsrechnung und Statistik (B. Sc. Geodesy and Geoinformatics)
  • Schätz- und Prädikationsverfahren in der Ingenieurgeodäsie (B. Sc. Geodesy and Geoinformatics)
  • Introduction into Geodetic Data Analysis and Adjustment Computations (M. Sc. Geodesy and Geoinformatics)
  • Recursive State Estimation for Dynamic Systems (M. Sc. Geodesy and Geoinformatics, M. Sc. Mechatronics and Robotics)
  • Machine Learning Models in Geodesy (M. Sc. Geodesy and Geoinformatics)
  • Machine Learning Models in Engineering Geodesy (M. Sc. Mechatronics and Robotics)