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David Millar

David Millar
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  • Biography

    Before joining MERL, David was a postdoctoral researcher at UCL, working on DSPs for coherent optical fiber transmission. Since then, he has been working on next generation systems and subsystems for the physical layer. He is particularly interested in advanced modulation formats, algorithms for equalization & carrier recovery, and reduced complexity transponders.

  • Recent News & Events

    •  NEWS   MERL Scientists Presented 5 Papers Including 2 Invited Talks at Optical Fiber Communications Conference (OFC) 2020
      Date: March 8, 2020 - March 13, 2020
      MERL Contacts: Devesh Jha; Toshiaki Koike-Akino; Keisuke Kojima; David Millar; Kieran Parsons; Ye Wang
      Research Areas: Communications, Electronic and Photonic Devices, Machine Learning, Signal Processing
      Brief
      • Due to COVID-19, MERL Optical Team scientists remotely presented 5 papers including 2 invited talks at the Optical Fiber Communications Conference (OFC) 2020, that was held in San Diego from March 8-13, 2020. Topics presented include recent advances in quantum signal processing, channel coding design, nano-optic power splitter, and deep learning-based integrated photonics. In addition, Dr. Kojima gave an invited workshop talk on deep learning-based nano-photonic device optimization.

        OFC is the largest global conference and exhibition for optical communications and networking professionals. The program is comprehensive from research to marketplace, from components to systems and networks and from technical sessions to the exhibition. For over 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move the industry forward. The five-day technical conference features peer reviewed presentations and more than 180 invited speakers, the thought leaders in the industry presenting the highlights of emerging technologies. Additional technical programming throughout the week includes special symposia, special sessions, in-depth tutorials, workshops, panels and the thought-provoking rump session.
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    •  NEWS   MERL Scientists Presenting 5 Papers including 2 Invited Talks at European Conference on Optical Communication (ECOC) 2019
      Date: September 22, 2019 - September 26, 2019
      MERL Contacts: Devesh Jha; Toshiaki Koike-Akino; Keisuke Kojima; David Millar; Kieran Parsons; Ye Wang
      Research Areas: Artificial Intelligence, Communications, Electronic and Photonic Devices, Optimization, Signal Processing
      Brief
      • MERL Optical Team scientists will be presenting 5 papers including 2 invited talks at the 45th European Conference on Optical Communication (ECOC) 2019, which is being held in Dublin from September 22-26, 2019. Topics to be presented include recent advances in sophisticated constellation shaping schemes, lattice coding, and deep learning-based turbo equalization to mitigate fiber nonlinearity. Dr. Kojima is giving an invited workshop talk on deep learning-based nano-photonic device optimization. Dr. Tobias Fehenberger, a former Visiting Scientist is giving an invited talk related to our joint paper "Mapping Strategies for Short-Length Probabilistic Shaping"

        ECOC is the largest optical communications event in Europe and a key meeting place for more than 1,500 scientists and researchers from institutions and companies across the world. The conference features more than 400 oral and poster presentations from various major telecoms industries and universities. As well as being one of the largest scientific conferences globally, ECOC also features Europe’s largest optical communications exhibition.
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  • Awards

    See All Awards for MERL

  • Internships with David

    • SP1504: Coherent Imaging Systems

      MERL is seeking an intern to work on coherent optical imaging. The ideal candidate would be an experienced PhD student or post-graduate researcher working in coherent imaging. The candidate should have a detailed knowledge of optical interferometry and imaging with a focus on either optical coherence tomography, optical coherence microscopy or FMCW LIDAR. Strong programming skills in MATLAB are essential. Experience of working in an optical lab environment is a required. Duration is 3 to 6 months. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • SP1516: Machine Learning for Optical Communications

      MERL is seeking an intern to work on machine learning for coherent optical transmission systems. The ideal candidate would be an experienced PhD student or post-graduate researcher working in coherent optical communications. The candidate should have a detailed knowledge of optical communications, with some experience in machine learning, probabilistic shaping, coded modulation or ultra-wideband optical transmission systems preferred. Strong programming skills in MATLAB or Python are essential. Experience of working in an optical lab environment is a required. Duration is 3 to 6 months. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    See All Internships at MERL

  • MERL Publications

    •  Talreja, V., Koike-Akino, T., Wang, Y., Millar, D.S., Kojima, K., Parsons, K., "End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping", European Conference on Optical Communication (ECOC), November 2020.
      BibTeX TR2020-155 PDF Video
      • @inproceedings{Talreja2020nov,
      • author = {Talreja, Veeru and Koike-Akino, Toshiaki and Wang, Ye and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
      • title = {End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping},
      • booktitle = {European Conference on Optical Communication (ECOC)},
      • year = 2020,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2020-155}
      • }
    •  Atalar, O., Millar, D.S., Wang, P., Koike-Akino, T., Kojima, K., Orlik, P.V., Parsons, K., "Spectrally sparse optical coherence tomography", Optics Express, DOI: 10.1364/OE.409539, Vol. 28, No. 25, pp. 37798-37810, October 2020.
      BibTeX TR2020-156 PDF
      • @article{Atalar2020oct,
      • author = {Atalar, Okan and Millar, David S. and Wang, Pu and Koike-Akino, Toshiaki and Kojima, Keisuke and Orlik, Philip V. and Parsons, Kieran},
      • title = {Spectrally sparse optical coherence tomography},
      • journal = {Optics Express},
      • year = 2020,
      • volume = 28,
      • number = 25,
      • pages = {37798--37810},
      • month = oct,
      • doi = {10.1364/OE.409539},
      • url = {https://www.merl.com/publications/TR2020-156}
      • }
    •  Skvortcov, P., Phillips, I., Forysiak, W., Koike-Akino, T., Kojima, K., Parsons, K., Millar, D.S., "Huffman-Coded Sphere Shaping for Extended-Reach Single-Span Links", arXiv, August 2020.
      BibTeX arXiv
      • @article{Skvortcov2020aug,
      • author = {Skvortcov, Pavel and Phillips, Ian and Forysiak, Wladek and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran and Millar, David S.},
      • title = {Huffman-Coded Sphere Shaping for Extended-Reach Single-Span Links},
      • journal = {arXiv},
      • year = 2020,
      • month = aug,
      • url = {https://arxiv.org/abs/2008.02313}
      • }
    •  Skvortcov, P., Phillips, I., Forysiak, W., Koike-Akino, T., Kojima, K., Parsons, K., Millar, D.S., "Nonlinearity Tolerant LUT-based Probabilistic Shaping for Extended-Reach Single-Span Links", IEEE Photonics Technology Letters, DOI: 10.1109/LPT.2020.3006737, Vol. 32, No. 16, pp. 967-970, July 2020.
      BibTeX TR2020-107 PDF
      • @article{Skvortcov2020jul,
      • author = {Skvortcov, Pavel and Phillips, Ian and Forysiak, Wladek and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran and Millar, David S.},
      • title = {Nonlinearity Tolerant LUT-based Probabilistic Shaping for Extended-Reach Single-Span Links},
      • journal = {IEEE Photonics Technology Letters},
      • year = 2020,
      • volume = 32,
      • number = 16,
      • pages = {967--970},
      • month = jul,
      • doi = {10.1109/LPT.2020.3006737},
      • issn = {1941-0174},
      • url = {https://www.merl.com/publications/TR2020-107}
      • }
    •  Fehenberger, T., Millar, D.S., Koike-Akino, T., Kojima, K., Parsons, K., Griesser, H., "Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables", IEEE Journal of Lightwave Technology, DOI: 10.1109/JLT.2020.2987210, Vol. 38, No. 10, pp. 2825-2833, April 2020.
      BibTeX TR2020-051 PDF
      • @article{Fehenberger2020apr2,
      • author = {Fehenberger, Tobias and Millar, David S. and Koike-Akino, Toshiaki and Kojima, Keisuke and Parsons, Kieran and Griesser, Helmut},
      • title = {Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables},
      • journal = {IEEE Journal of Lightwave Technology},
      • year = 2020,
      • volume = 38,
      • number = 10,
      • pages = {2825--2833},
      • month = apr,
      • doi = {10.1109/JLT.2020.2987210},
      • issn = {1558-2213},
      • url = {https://www.merl.com/publications/TR2020-051}
      • }
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  • Videos

  • MERL Issued Patents

    • Title: "System and Method for Short Block Length Distribution Matching"
      Inventors: Millar, David; Koike-Akino, Toshiaki; Parsons, Kieran; Kojima, Keisuke
      Patent No.: 10,749,554
      Issue Date: Aug 18, 2020
    • Title: "Pilot-Aided Carrier Phase Estimation for Optical Communications"
      Inventors: Millar, David; Pajovic, Milutin; Koike-Akino, Toshiaki; Kojima, Keisuke; Parsons, Kieran
      Patent No.: 10,554,309
      Issue Date: Feb 4, 2020
    • Title: "Short Block Length Distribution Matching Algorithm"
      Inventors: Millar, David; Fehenberger, Tobias; Koike-Akino, Toshiaki; Kojima, Keisuke; Parsons, Kieran
      Patent No.: 10,541,711
      Issue Date: Jan 21, 2020
    • Title: "Distribution Matcher"
      Inventors: Millar, David; Fehenberger, Tobias; Koike-Akino, Toshiaki; Parsons, Kieran; Kojima, Keisuke
      Patent No.: 10,516,503
      Issue Date: Dec 24, 2019
    • Title: "Optical Signal Transmitter and Optical Signal Encoder Using Constant Modulus Formats, and Method for Generating Modulation Codes"
      Inventors: Kojima, Keisuke; Yoshida, Tsuyoshi; Koike-Akino, Toshiaki; Millar, David; Parsons, Kieran
      Patent No.: 10,320,486
      Issue Date: Jun 11, 2019
    • Title: "Partition Based Distribution Matcher for Probabilistic Constellation Shaping"
      Inventors: Millar, David; Fehenberger, Tobias; Koike-Akino, Toshiaki; Kojima, Keisuke; Parsons, Kieran
      Patent No.: 10,069,519
      Issue Date: Sep 4, 2018
    • Title: "Frequency Domain Equalizer for Optical Communications"
      Inventors: Millar, David; Paskov, Milan; Koike-Akino, Toshiaki; Parsons, Kieran; Kojima, Keisuke
      Patent No.: 9,917,712
      Issue Date: Mar 13, 2018
    • Title: "Methods for Compensation of Cross-Polarization Modulation (XPolM) Impairments in Coherent Optical Communications"
      Inventors: Pajovic, Milutin; Parsons, Kieran; Millar, David; Kojima, Keisuke; Koike-Akino, Toshiaki
      Patent No.: 9,906,308
      Issue Date: Feb 27, 2018
    • Title: "System and Method of Belief Propagation Decoding"
      Inventors: Koike-Akino, Toshiaki; Millar, David
      Patent No.: 9,806,743
      Issue Date: Oct 31, 2017
    • Title: "Optical Signal Transmitter and Optical Communication System Using Constant Modulus Formats, and Method for Generating Modulation Codes"
      Inventors: Kojima, Keisuke; Yoshida, Tsuyoshi; Koike-Akino, Toshiaki; Millar, David; Parsons, Kieran
      Patent No.: 9,806,739
      Issue Date: Oct 31, 2017
    • Title: "Fast Log-Likelihood Ratio (LLR) Computation for Decoding High-Order and High-Dimensional Modulation Schemes"
      Inventors: Millar, David; Koike-Akino, Toshiaki; Kojima, Keisuke; Parsons, Kieran
      Patent No.: 9,749,089
      Issue Date: Aug 29, 2017
    • Title: "Method for Generating Constant Modulus Multi-Dimensional Modulations for Coherent Optical Communications"
      Inventors: Kojima, Keisuke; Millar, David; Koike-Akino, Toshiaki; Parsons, Kieran
      Patent No.: 9,621,275
      Issue Date: Apr 11, 2017
    • Title: "Quaternary Block-Coded High-Dimensional Modulation for Coherent Optical Communications"
      Inventors: Millar, David; Koike-Akino, Toshiaki
      Patent No.: 9,584,259
      Issue Date: Feb 28, 2017
    • Title: "Adaptive Error Correction Code for Optical Super-Channels"
      Inventors: Kojima, Keisuke; Parsons, Kieran; Millar, David; Koike-Akino, Toshiaki
      Patent No.: 9,584,256
      Issue Date: Feb 28, 2017
    • Title: "Pilot-Aided Coherent Receiver for Optical Communications"
      Inventors: Millar, David; Koike-Akino, Toshiaki; Pajovic, Milutin
      Patent No.: 9,559,786
      Issue Date: Jan 31, 2017
    • Title: "System and Method for Recovering Carrier Phase in Optical Communications"
      Inventors: Koike-Akino, Toshiaki; Kojima, Keisuke; Millar, David
      Patent No.: 9,473,250
      Issue Date: Oct 18, 2016
    • Title: "Inter-Channel Interference Management for Optical Super-Channels"
      Inventors: Koike-Akino, Toshiaki; Kojima, Keisuke; Millar, David; Parsons, Kieran
      Patent No.: 9,432,124
      Issue Date: Aug 30, 2016
    • Title: "Method and System for Modulating Optical Signals as High-Dimensional Lattice Constellation Points to Increase Tolerance to Noise"
      Inventors: Koike-Akino, Toshiaki; Kniazev, Andrei; Millar, David
      Patent No.: 9,112,653
      Issue Date: Aug 18, 2015
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