Dr.-Ing. Payam Teimourzadeh Baboli

Senior Scientist

Contact

Dr.-Ing. Payam Teimourzadeh Baboli
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Harburger Schloßstraße 22a,
21079 Hamburg
Building HS22a, Room 2.001
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
Information Theory and Coding
Subtitle:
This course is part of the module: Information Theory and Coding
Semester:
SoSe 24
Course type:
Lecture
Course number:
lv436_s24
Lecturer:
Gerhard Bauch, Philipp Mohr, PD Dr.-Ing. habil. Rainer Grünheid
Description:
  • Introductionto information theory and coding
  • Definitionsof information: Self information, entropy
  • Binaryentropy function
  • Sourcecoding theorem
  • Entropyof continuous random variables: Differential entropy, differential entropy ofuniformly and Gaussian distributed random variables
  • Sourcecoding
    • Principlesof lossless source coding
    • Optimalsource codes
    • Prefixcodes, prefix-free codes, instantaneous codes
    • Morsecode
    • Huffmancode
    • Shannoncode
    • Boundson the average codeword length
    • Relativeentropy, Kullback-Leibler distance, Kullback-Leibler divergence
    • Crossentropy
    • Lempel-Zivalgorithm
    • Lempel-Ziv-Welch(LZW) algorithm
    • Textcompression and image compression using variants of the Lempel-Ziv algorithm
  • Channelmodels
    • AWGNchannel
    • Binary-inputAWGN channel
    • Binarysymmetric channel (BSC)
    • Relationshipbetween AWGN channel and BSC
    • Binaryerror and erasure channel (BEEC)
    • Binaryerasure channel (BEC)
    • Discretememoryless channels (DMC)
  • Definitionsof information for multiple random variables
    • Mutualinformation and channel capacity
    • Entropy,conditional entropy
    • Chainrules for entropy and mutual information
  • Channelcoding theorem
  • Channelcapacity of fundamental channels: BSC, BEC, AWGN channel, binary-input AWGNchannel etc.
  • Power-limitedvs. bandlimited transmission
  • Capacityof parallel AWGN channels
    • Waterfilling
    • Examples:Multiple input multiple output (MIMO) channels, complex equivalent basebandchannels, orthogonal frequency division multiplex (OFDM)
  • Source-channelcoding theorem, separation theorem
  • Multiuserinformation theory
    • Multipleaccess channel (MAC)
    • Broadcastchannel
    • Principlesof multiple access, time division multiple access (TDMA), frequency divisionmultiple access (FDMA), non-orthogonal multiple access (NOMA), hybrid multipleaccess
    • Achievablerate regions of TDMA and FDMA with power constraint, energy constraint, powerspectral density constraint, respectively
    • Achievablerate region of the two-user and K-user multiple access channels
    • Achievablerate region of the two-user and K user broadcast channels
    • Multiuserdiversity
  • Channelcoding
    • Principlesand types of channel coding
    • Coderate, data rate, Hamming distance, minimum Hamming distance, Hamming weight,minimum Hamming weight
    • Errordetecting and error correcting codes
    • Simpleblock codes: Repetition codes, single parity check codes, Hamming code, etc.
    • Syndromedecoding
    • Representationsof binary data
    • Non-binarysymbol alphabets and non-binary codes
    • Codeand encoder, systematic and non-systematic encoders
    • Propertiesof Hamming distance and Hamming weight
    • Decodingspheres
    • Perfectcodes
    • Linearcodes
    • Decodingprinciples
      • Syndromedecoding
      • Maximuma posteriori probability (MAP) decoding and maximum likelihood (ML) decoding
      • Harddecision and soft decision decoding
      • Log-likelihoodratios (LLRs), boxplus operation
      • MAPand ML decoding using log-likelihood ratios
      • Soft-insoft-out decoders
    • Errorrate performance comparison of codes in terms of SNR per info bit vs. SNR percode bit
    • Linearblock codes
      • Generatormatrix and parity check matrix, properties of generator matrix and parity checkmatrix
      • Dualcodes
    • Lowdensity parity check (LDPC) codes
      • Sparseparity check matrix
      • Tannergraphs, cycles and girth
      • Degreedistributions
      • Coderate and degree distribution
      • Regularand irregular LDPC codes
      • Messagepassing decoding
        • Messagepassing decoding in binary erasure channels (BEC)
        • Systematicencoding using erasure message passing decoding
        • Messagepassing decoding in binary symmetric channels (BSC)
          • Extrinsicinformation
          • Bit-flippingdecoding
          • Effectsof short cycles in the Tanner graph
          • Alternativebit-flipping decoding
          • Softdecision message passing decoding: Sum product decoding
        • Biterror rate performance of LDPC codes
      • Repeataccumulate codes and variants of repeat accumulate codes
      • Messagepassing decoding and turbo decoding of repeat accumulate codes
    • Convolutionalcodes
      • Encodingusing shift registers
      • Trellisrepresentation
      • Harddecision and soft decision Viterbi decoding
      • Biterror rate performance of convolutional codes
      • Asymptoticcoding gain
      • Viterbidecoding complexity
      • Freedistance and optimum convolutional codes
      • Generatorpolynomial description and octal description
      • Catastrophicconvolutional codes
      • Non-systematicand recursive systematic convolutional (RSC) encoders
      • Ratecompatible punctured convolutional (RCPC) codes
      • Hybridautomatic repeat request (HARQ) with incremental redundancy
      • Unequalerror protection with punctured convolutional codes
      • Errorpatterns of convolutional codes
    • Concatenatedcodes
      • Serialconcatenated codes
      • Parallelconcatenated codes, Turbo codes
      • Iterativedecoding, turbo decoding
      • Biterror rate performance of turbo codes
      • Interleaverdesign for turbo codes
    • Codedmodulation
      • Principleof coded modulation
      • Achievablerates with PSK/QAM modulation
      • Trelliscoded modulation (TCM)
      • Setpartitioning
      • Ungerböckcodes
      • Multilevelcoding
      • Bit-interleavedcoded modulation


Performance accreditation:
605 - Information Theory and Coding<ul><li>605 - Information Theory and Coding: Klausur schriftlich</li></ul>
ECTS credit points:
4
Stud.IP informationen about this course:
Home institute: Institut für Nachrichtentechnik (E-8)
Registered participants in Stud.IP: 140
Postings: 7
Documents: 34