Dr.-Ing. Payam Teimourzadeh Baboli

Senior Scientist

Contact

Dr.-Ing. Payam Teimourzadeh Baboli
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C3 1.005
Phone: +49 40 42878 3013
Logo

CV

Work experience

Since Jan. 2024

Senior Scientist and Lecturer, Hamburg University of Technology (TUHH), Germany

Aug. 2019 – Dec.2023

Post-Doc, Senior Researcher and Project Manager, OFFIS – Institute for Information Technology, Oldenburg, Germany

Feb. 2015 – Jul. 2019

Assistant Professor in Electrical Engineering, University of Mazandaran (UMZ), Babolsar, Iran

Mar. 2007 – Jan. 2015

 

 

Iranian Power System Engineering Research Center (IPSERC), Tehran, Iran

  • Senior Researcher and Project Manager (Apr. 2014 – Jan. 2015, Full-time)
  • Researcher and Lab. Engineer (Mar. 2007 – Apr. 2014, Part-time)

 

Research Projects

KoLa
Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

KoLa

Optimized Load Management and Flexibility Coordination for Electrified Urban Public Transport

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2026

DISEGO
Critical Components for Distributed and Secure Grid Operation

DISEGO

Critical Components for Distributed and Secure Grid Operation

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2025

EffiziEntEE
Efficient integration of high shares of renewable energies in technically and economically integrated energy systems

EffiziEntEE

Efficient integration of high shares of renewable energies in technically and economically integrated energy systems

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2025

iNeP
Integrated network planning for the electricity, gas and heat sectors

iNeP

Integrated network planning for the electricity, gas and heat sectors

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2026

VeN²uS
Networked grid protection systems - Adaptive and interconnected

VeN²uS

Networked grid protection systems - Adaptive and interconnected

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024

DisrupSys
Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply

DisrupSys

Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024

Publications

TUHH Open Research (TORE)

2023

2022

2021

2020

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Digital Signal Processing and Digital Filters (Digitale Signalverarbeitung und digitale Filter) (M.Sc.)
Subtitle:
This course is part of the module: Digital Signal Processing and Digital Filters
Semester:
WiSe 23/24
Course type:
Lecture
Course number:
lv446_w23
Lecturer:
Gerhard Bauch, M. Sc Semir Cömertpay, PD Dr.-Ing. habil. Rainer Grünheid
Description:
  • Transforms of discrete-time signals:

    • Discrete-time Fourier Transform (DTFT)

    • Discrete Fourier-Transform (DFT), Fast Fourier Transform (FFT)

    • Z-Transform

  • Correspondence of continuous-time and discrete-time signals, sampling, sampling theorem

  • Fast convolution, Overlap-Add-Method, Overlap-Save-Method

  • Fundamental structures and basic types of digital filters

  • Characterization of digital filters using pole-zero plots, important properties of digital filters

  • Quantization effects

  • Design of linear-phase filters

  • Fundamentals of stochastic signal processing and adaptive filters

    • MMSE criterion

    • Wiener Filter

    • LMS- and RLS-algorithm

  • Traditional and parametric methods of spectrum estimation

Performance accreditation:
620 - Digital Signal Processing and Digital Filters<ul><li>620 - Digital Signal Processing and Digital Filters: Klausur schriftlich</li></ul>
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Institut für Nachrichtentechnik (E-8)
Registered participants in Stud.IP: 86
Postings: 3
Documents: 12