World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5968
World Ranking
11606
National Ranking
574

Overview

Gerd Ascheid is affiliated with RWTH Aachen University in Germany. Their research primarily spans the fields of Engineering and Computer Science, with a strong focus on Electrical and Electronic Engineering and Artificial Intelligence. Additional subfields of interest include Control and Systems Engineering, Computer Networks and Communications, and Computer Vision and Pattern Recognition.

The scientist's main research topics cover several areas, including:

  • Reinforcement Learning in Robotics
  • Advanced Memory and Neural Computing
  • Smart Grid Security and Resilience
  • Evolutionary Algorithms and Applications
  • Advanced Neural Network Applications
  • Wireless Communication Security Techniques
  • Metaheuristic Optimization Algorithms Research

Gerd Ascheid has contributed to a variety of publication venues, frequently publishing in:

  • arXiv (Cornell University)
  • RWTH Publications (RWTH Aachen)
  • npj Digital Medicine
  • IEEE Wireless Communications
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Recent papers include:

  • "Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care" (2021, npj Digital Medicine)
  • "A Physical Layer Security Framework for Cognitive Cyber-Physical Systems" (2020, IEEE Wireless Communications)
  • "Morphological evolution for pipe inspection using Robot Operating System (ROS)" (2020, Materials and Manufacturing Processes)
  • "Evo-RL" (2021, Proceedings of the Genetic and Evolutionary Computation Conference Companion)
  • "ConvAix: An Application-Specific Instruction-Set Processor for the Efficient Acceleration of CNNs" (2020, IEEE Open Journal of Circuits and Systems)

Frequent collaborators with Gerd Ascheid include:

  • Guido Dartmann
  • Ahmed Hallawa
  • Anke Schmeink
  • Alí Emre Pusane
  • Lukas Märtin

Best Publications

  • MAPS: an integrated framework for MPSoC application parallelization

    J. Ceng;J. Castrillon;W. Sheng;H. Scharwachter

  • MAPS: Mapping Concurrent Dataflow Applications to Heterogeneous MPSoCs

    J. Castrillon;R. Leupers;G. Ascheid

  • Cycle Slips in Phase-Locked Loops: A Tutorial Survey

    G. Ascheid;H. Meyr

  • Adaptive synchronization and channel parameter estimation using an extended Kalman filter

    A. Aghamohammadi;H. Meyr;G. Ascheid

  • A new method for phase synchronization and automatic gain control of linearly modulated signals on frequency-flat fading channels

    A. Aghamohammadi;H. Meyr;G. Ascheid

  • A Modular Simulation Framework for Spatial and Temporal Task Mapping onto Multi-Processor SoC Platforms

    Torsten Kempf;Malte Doerper;R. Leupers;G. Ascheid

  • Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care.

    Arne Peine;Ahmed Hallawa;Johannes Bickenbach;Guido Dartmann

  • An all digital receiver architecture for bandwidth efficient transmission at high data rates

    G. Ascheid;M. Oerder;J. Stahl;H. Meyr

  • A SW performance estimation framework for early system-level-design using fine-grained instrumentation

    T. Kempf;K. Karuri;S. Wallentowitz;G. Ascheid

  • System level processor/communication co-exploration methodology for multiprocessor system-on-chip platforms

    A. Wieferink;M. Doerper;R. Leupers;G. Ascheid

  • Uplink power control with MMSE receiver in multi-cell MU-massive-MIMO systems

    Kaifeng Guo;Yan Guo;Gaabor Fodor;Gerd Ascheid

  • A system level processor/communication co-exploration methodology for multi-processor system-on-chip platforms

    Andreas Wieferink;Tim Kogel;Rainer Leupers;Gerd Ascheid

  • Fine-grained application source code profiling for ASIP design

    K. Karuri;M.A. Al Faruque;S. Kraemer;R. Leupers

  • Designing an ASIP for Cryptographic Pairings over Barreto-Naehrig Curves

    David Kammler;Diandian Zhang;Peter Schwabe;Hanno Scharwaechter

  • Quasi-Static and Time-Selective Channel Estimation for Block-Sparse Millimeter Wave Hybrid MIMO Systems: Sparse Bayesian Learning (SBL) Based Approaches

    Suraj Srivastava;Amrita Mishra;Anupama Rajoriya;Aditya K. Jagannatham

  • A modular simulation framework for architectural exploration of on-chip interconnection networks

    Tim Kogel;Malte Doerper;Andreas Wieferink;Rainer Leupers

  • A Scalable VLSI Architecture for Soft-Input Soft-Output Single Tree-Search Sphere Decoding

    Ernst Martin Witte;Filippo Borlenghi;Gerd Ascheid;Rainer Leupers

  • Communication-aware mapping of KPN applications onto heterogeneous MPSoCs

    Jeronimo Castrillon;Andreas Tretter;Rainer Leupers;Gerd Ascheid

  • Security-Constrained Power Allocation in MU-Massive-MIMO With Distributed Antennas

    Kaifeng Guo;Yan Guo;Gerd Ascheid

  • How the Framework of Expectation Propagation Yields an Iterative IC-LMMSE MIMO Receiver

    Martin Senst;Gerd Ascheid

  • A methodology and tool suite for C compiler generation from ADL processor models

    Manuel Hohenauer;Hanno Scharwaechter;Kingshuk Karuri;Oliver Wahlen

  • Accurate neuron resilience prediction for a flexible reliability management in neural network accelerators

    Christoph Schorn;Andre Guntoro;Gerd Ascheid

  • Phase-, frequency-locked loops, and amplitude control

    Heinrich Meyr;Gerd Ascheid

Frequent Co-Authors

Rainer Leupers
Rainer Leupers RWTH Aachen University
Heinrich Meyr
Heinrich Meyr RWTH Aachen University
Gunes Karabulut Kurt
Gunes Karabulut Kurt Polytechnique Montréal
Rudolf Mathar
Rudolf Mathar RWTH Aachen University
Cristina Silvano
Cristina Silvano Polytechnic University of Milan
Petri Mahonen
Petri Mahonen Aalto University
Petar Popovski
Petar Popovski Aalborg University
Anass Benjebbour
Anass Benjebbour NTT (Japan)
Dimitrios Soudris
Dimitrios Soudris National Technical University of Athens

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