Ken Duffy

Professor

Northeastern University

United States

Research Interests

Explore related searches

Professors in United States Professors in Immunology Immunology professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Ken Duffy is a Professor at Northeastern University in the United States. His research focuses on coding and decoding technologies, particularly in high photon information efficiency systems and distributed ledgers. He has contributed to advancements in soft-output decoding techniques and universal decoding methods, as evidenced by his recent publications.

Articles (20)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (4)

Rob De Boer

Utrecht University

NETHERLANDS

View details

Joanna Groom

Laboratory Head

Walter and Eliza Hall Institute of Medical Research

AUSTRALIA

View details

Rafael D'Oliveira

Assistant Professor

Clemson University

UNITED STATES

View details

Ferenc Scheeren

Leiden University Medical Center

NETHERLANDS

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ken Duffy

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

Coding and Decoding in High Photon Information Efficiency Systems

Almost Sure One-Endedness of a Random Graph Model of Distributed Ledgers

A Sub-0.8-pJ/bit Universal Soft-Detection Decoder Using ORBGRAND

GRAND-Assisted Demodulation

Soft-Output (SO) GRAND and Iterative Decoding to Outperform LDPC Codes

Soft-Output Guessing Codeword Decoding

Soft-Output Successive Cancellation List Decoding

Code at the Receiver, Decode at the Sender: Feedback Communication with GRAND-CE

Iterative Guessing Random Additive Noise Decoder for Universal Decoding of Product Codes

SOGRAND Assisted Guesswork Reduction

Evidentiary evaluation of single cells renders highly informative forensic comparisons across multifarious admixtures

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells

AES as Error Correction: Cryptosystems for Reliable Communication

Author Correction: Replicative history marks transcriptional and functional disparity in the CD8+ T cell memory pool

Replicative history marks transcriptional and functional disparity in the CD8+ T cell memory pool

Adaptive Immunity: Maintaining naivety of T cells Mathematical models encoding biological hypotheses reveal new insight into the dynamics of naive immune cells in mice from birth to old age

Corrigendum to “The a posteriori probability of the number of contributors when conditioned on an assumed contributor” [Forensic Sci. Int. Genet. 54 (2021) 102563] (Forensic Science International: Genetics (2021) 54, (S1872497321001009), (10.1016/j.fsigen.2021.102563))

Discrete convolution statistic for hypothesis testing

High-quality data from a forensically relevant single-cell pipeline enabled by low PBS and proteinase K concentrations

Lineage tracing reveals B cell antibody class switching is stochastic, cell-autonomous, and tuneable

Collaborators (4)

Rob De Boer

Joanna Groom

Rafael D'Oliveira

Ferenc Scheeren

Make your next move.