Tanfer Alan

M.Sc. Tanfer Alan

  • Haid-und-Neu-Str. 7
    Bldg. 07.21
    76131 Karlsruhe

Short Bio

Tanfer Alan joined the Chair of Embedded Systems in December 2015 as a research assistant. He received his B.Sc. degree from Hacettepe University, Turkey, in 2011 and M.Sc. degree from TU Darmstadt, Germany, in 2014. Before joining CES, he has made internships at Texas Instruments Germany and Intel Labs in the U.S. Currently, he is pursuing his PhD under the supervision of Prof. Dr. Jörg Henkel.


Tanfer Alan, Jörg Henkel
Probability-Driven Evaluation of Lower-Part Approximation Adders
in IEEE Transactions on Circuits and Systems II: Express Briefs, DOI, PDF, early access 2021.
Open Source Contribution
Tanfer Alan, Andreas Gerstlauer, Jörg Henkel
Cross-Layer Approximate Hardware Synthesis for Runtime Configurable Accuracy
in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, DOI, PDF, Apr 2021.
Tanfer Alan, Jörg Henkel
SlackHammer: Logic Synthesis for Graceful Errors Under Frequency Scaling
in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD, Vol 37, Issue 11), ESWEEK Special Issue, DOI, PDF, Nov 2018.
Additional material: Poster (pdf), Presentation (pptx)
Tanfer Alan, Andreas Gerstlauer, Jörg Henkel
Runtime Accuracy-Configurable Approximate Hardware Synthesis Using Logic Gating and Relaxation (IP)
in IEEE/ACM 23rd Design, Automation and Test in Europe Conference (DATE'20), Grenoble, France, DOI, PDF, Mar 9-13 2020.
Tanfer Alan, Jorge Castro-Godínez and Jörg Henkel
Multiple Approximate Instances in Neural Processing Units for Energy-Efficient Circuit Synthesis (WiP)
in 2021 International Conference on Compilers, Architectures and Synthesis For Embedded Systems (CASES), accepted to appear 2021.

Previous publications

Teahyung Lee, Myung Hwangbo, Tanfer Alan, Omesh Tickoo, Ravishankar Iyer
Method and system of low-complexity histogram of gradients generation for image processing
Patent link
Teahyung Lee, Myung Hwangbo, Tanfer Alan, Omesh Tickoo, Ravishankar Iyer
Low-Complexity HOG for Efficient Video Saliency
in IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, 27-30 Sept. 2015.



Laboratory: Software Entwicklung (PSE)
since 2016
Seminar: Approximate Computing
since 2016


Student Theses