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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
4996
World Ranking
6023
National Ranking
173

Overview

Ulf Schlichtmann is affiliated with the Technical University of Munich in Germany. Their research focuses primarily on engineering and computer science, with extensive contributions to electrical and electronic engineering, biomedical engineering, artificial intelligence, hardware and architecture, and computer networks and communications.

The main topics of Schlichtmann's work include advanced memory and neural computing, electrowetting and microfluidic technologies, ferroelectric and negative capacitance devices, microfluidic and capillary electrophoresis applications, innovative microfluidic and catalytic techniques, photonic and optical devices, and optical network technologies.

Schlichtmann's recent publications cover a range of specialized subjects in their fields. Notable papers include:

  • DeeperThings: Fully Distributed CNN Inference on Resource-Constrained Edge Devices (2021), International Journal of Parallel Programming
  • Computer-aided Design Techniques for Flow-based Microfluidic Lab-on-a-chip Systems (2021), ACM Computing Surveys
  • Ferroelectric Ternary Content Addressable Memories for Energy-Efficient Associative Search (2022), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Machine Learning in Advanced IC Design: A Methodological Survey (2022), IEEE Design and Test
  • DCSA: Distributed Channel-Storage Architecture for Flow-Based Microfluidic Biochips (2020), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

The venues where Schlichtmann most frequently publishes include:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • arXiv (Cornell University)
  • 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
  • IEEE Design and Test
  • ACM Transactions on Design Automation of Electronic Systems

Frequent collaborators in Schlichtmann's research efforts are Grace Li Zhang, Bing Li, Xunzhao Yin, Cheng Zhuo, and Tsun-Ming Tseng, indicating consistent partnerships fostering research outputs.

Best Publications

  • The Bistable Ring PUF: A new architecture for strong Physical Unclonable Functions

    Qingqing Chen;Gyorgy Csaba;Paolo Lugli;Ulf Schlichtmann

  • Kraftwerk2—A Fast Force-Directed Quadratic Placement Approach Using an Accurate Net Model

    P. Spindler;U. Schlichtmann;F.M. Johannes

  • Abacus: fast legalization of standard cell circuits with minimal movement

    Peter Spindler;Ulf Schlichtmann;Frank M. Johannes

  • The Sizing Rules Method for CMOS and Bipolar Analog Integrated Circuit Synthesis

    T. Massier;H. Graeb;U. Schlichtmann

  • Aging analysis of circuit timing considering NBTI and HCI

    Dominik Lorenz;Georg Georgakos;Ulf Schlichtmann

  • Design and architectures for dependable embedded systems

    Jörg Henkel;Lars Bauer;Joachim Becker;Oliver Bringmann

  • Safety Evaluation of Automotive Electronics Using Virtual Prototypes: State of the Art and Research Challenges

    J.-H. Oetjens;N. Bannow;M. Becker;O. Bringmann

  • Towards electrical, integrated implementations of SIMPL systems

    Ulrich Rührmair;Qingqing Chen;Martin Stutzmann;Paolo Lugli

  • Comprehensive Generation of Hierarchical Placement Rules for Analog Integrated Circuits

    M Eick;M Strasser;Kun Lu;U Schlichtmann

  • Aging analysis at gate and macro cell level

    Dominik Lorenz;Martin Barke;Ulf Schlichtmann

  • Fast power estimation of large circuits

    P.H. Schneider;U. Schlichtmann;B. Wurth

  • Aging-aware Lifetime Enhancement for Memristor-based Neuromorphic Computing

    Shuhang Zhang;Grace Li Zhang;Bing Li;Hai Helen Li

  • Predicting future product performance: modeling and evaluation of standard cells in FinFET technologies

    Veit B. Kleeberger;Helmut Graeb;Ulf Schlichtmann

  • Statistical training for neuromorphic computing using memristor-based crossbars considering process variations and noise

    Ying Zhu;Grace Li Zhang;Tianchen Wang;Bing Li

  • DeeperThings: Fully Distributed CNN Inference on Resource-Constrained Edge Devices

    Rafael Stahl;Alexander Hoffman;Daniel Mueller-Gritschneder;Andreas Gerstlauer

  • Columba 2.0: A Co-Layout Synthesis Tool for Continuous-Flow Microfluidic Biochips

    Tsun-Ming Tseng;Mengchu Li;Daniel Nestor Freitas;Travis McAuley

  • Columba: co-layout synthesis for continuous-flow microfluidic biochips

    Tsun-Ming Tseng;Mengchu Li;Bing Li;Tsung-Yi Ho

  • TimingCamouflage: Improving circuit security against counterfeiting by unconventional timing

    Grace Li Zhang;Bing Li;Bei Yu;David Z. Pan

  • Storage and Caching: Synthesis of Flow-Based Microfluidic Biochips

    Tsun-Ming Tseng;Bing Li;Ulf Schlichtmann;Tsung-Yi Ho

  • DFM/DFY design for manufacturability and yield - influence of process variations in digital, analog and mixed-signal circuit design

    M. Bühler;J. Koehl;J. Bickford;J. Hibbeler

  • Reliability challenges for electric vehicles: from devices to architecture and systems software

    Georg Georgakos;Ulf Schlichtmann;Reinhard Schneider;Samarjit Chakraborty

  • Testing microfluidic Fully Programmable Valve Arrays (FPVAs)

    Chunfeng Liu;Bing Li;Bhargab B. Bhattacharya;Krishnendu Chakrabarty

  • 0.9-V CMOS cascode amplifier with body-driven gain boosting

    Pietro Monsurrò;Salvatore Pennisi;Giuseppe Scotti;Alessandro Trifiletti

  • Towards Electrical, Integrated Implementations of SIMPL Systems.

    Ulrich Rührmair;Qingqing Chen;Paolo Lugli;Ulf Schlichtmann

Frequent Co-Authors

Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University
Paolo Lugli
Paolo Lugli Free University of Bozen-Bolzano
Norbert Wehn
Norbert Wehn Technical University of Kaiserslautern
Martin Stutzmann
Martin Stutzmann Technical University of Munich
Jorg Henkel
Jorg Henkel Karlsruhe Institute of Technology
Hai Li
Hai Li Duke University
Sani R. Nassif
Sani R. Nassif Radyalis LLC
Mehdi B. Tahoori
Mehdi B. Tahoori Karlsruhe Institute of Technology
Paul Pop
Paul Pop Technical University of Denmark
Asen Asenov
Asen Asenov University of Glasgow

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