Mehmet Emre Andıran

Research interests

Signal processing

Classical and graph signal processing, including how graph structure can be used to represent and classify time series.

Machine learning

Graph neural networks, and generative models, particularly diffusion models applied to inverse problems in imaging.

Image processing and computer vision

Dynamic range expansion, RAW and linear-RGB reconstruction, and low-level vision.

Applied mathematics

Probability, statistics, and game theory, and the places they meet engineering problems.

Publications

1. Time Series Classification via Enriched Visibility Graph Feature Extraction

   E. Y. Pişkin, M. E. Andiran, E. Kulkul, A. Koç

   34th IEEE Conference on Signal Processing and Communications Applications (SIU), Istanbul, Turkey, 2026  Accepted

Education

• B.S. Electrical and Electronics Engineering

  Bilkent University, Ankara, Turkey Sep 2023 – Jun 2027 (expected)

  • GPA 3.99 / 4.00, ranked 2nd in a cohort of 269. High Honour student every semester.
  • Full merit scholarship for undergraduate studies.

• Exchange Student, Electrical and Electronics Engineering

  EPFL, Lausanne, Switzerland Feb – Jul 2026

  • Swiss-European Mobility Programme (SEMP) scholarship recipient.

Experience

• Undergraduate Researcher

  Image and Visual Representation Lab (IVRL), EPFL, Lausanne, Switzerland Feb 2026 – Present

  • Working on dynamic range expansion of images using diffusion models, supervised by Zhuoqian Yang and Liying Lu in the lab led by Prof. Sabine Süsstrunk.
  • Building on state-of-the-art RGB-guided RAW diffusion to generate linear-RGB images with enhanced dynamic range from SDR captures taken on consumer sensors.

• Undergraduate Researcher

  Koç Lab, Bilkent University, Ankara, Turkey Sep 2025 – Present

  • Research on graph signal processing and graph neural networks under the supervision of Assoc. Prof. Aykut Koç.

• Summer Intern

  National Magnetic Resonance Research Center (UMRAM), Ankara, Turkey Jun – Jul 2025

  • Wrote an MLP framework from scratch and applied it to MNIST digit classification, reaching ~98% accuracy. Forward and backward propagation, gradient descent, regularization, and hyperparameter tuning were all implemented by hand.

• Teaching Assistant & Peer Tutor

  Bilkent University, Ankara, Turkey Sep 2024 – May 2025

  • Peer Tutor for MATH 101 (Calculus I), selected by the University Administration from a pool of candidates; led solo recitation sessions.
  • Teaching Assistant for CS 115 (Introduction to Programming in Python), supporting students through laboratory assignments.

Projects

• 3-bit Analog-to-Digital Converter

  A 16 kHz sampling-rate ADC designed and built from discrete transistors, with a comparator, multiplexer, and sample-and-hold stage. An Arduino drives and monitors the system.

  • Discrete transistors
  • Arduino
  • LTspice

• Basketball Arcade Game

  An arcade cabinet on an ARM Cortex-M0 microcontroller: IR-sensor score keeping, a servo-driven moving hoop with an analog speed selector, buzzer music, and Bluetooth logging.

  • C
  • ARM Cortex-M0
  • Bluetooth

• Superheterodyne Analog Transceiver

  A 27 MHz transceiver with a 15 MHz intermediate frequency, built for an analog electronics course. By the end of the term it was good enough to hold real conversations over.

  • Analog RF
  • PCB design

• Password-Locked Safe with Intruder Alarm

  A safe implemented in VHDL on a BASYS3 FPGA, combining analog piezo sensing for intruder detection with a keypad for password entry and changes.

  • VHDL
  • BASYS3 FPGA
  • Vivado

Skills

Programming

Python, MATLAB, C, Assembly, VHDL, Arduino

Tools

PyTorch, MATLAB, LTspice, Vivado, KiCad, Proteus

Hardware

Microcontrollers, FPGAs, transistor-level design, PCBs, oscilloscopes, soldering

Languages

Turkish (native), English (C2, IELTS 8.5), German (elementary)