Professor Ozgur B. Akan


University position

Professor

Professor Ozgur B. Akan is pleased to consider applications from prospective PhD students.

Departments

Department of Engineering

Institutes

Internet of Everything (IoE) Group

Email

ozgur.akan@eng.cam.ac.uk

Home page

http://ioe.eng.cam.ac.uk (personal home page)

Research Themes

Systems and Computational Neuroscience

Cellular and Molecular Neuroscience

Interests

Our research interests are Internet of Everything, Internet of Bio-Nano Things, Neural Communication, Molecular Communication, Signal Processing and Information Theory. We are particularly interested in developing nanomaterial-based neuro-interfaces for next-generation ICT-inspired diagnosis and treatment for nervous system.

Research Focus

Keywords

Internet of Everything

Internet of Bio-Nano Things

Molecular Communication

Neuronal Communication

Signal Processing

Clinical conditions

Alzheimer's disease

Diabetes

Hormonal disorders

Spinal Cord Injury

Equipment

Computational modelling

Fluorescence microscopy

Information and communication theoretical tools and techniques

Collaborators

Cambridge

Andrea Ferrari

Stephan Hoffman

Clemens Kaminski

Pietro Lio

Teng Long

Ole Paulsen

Associated News Items


    Key publications

    Khan T, Akan OB (2019), “Sum Rate Analysis of Multiple-Access Neuro-Spike Communication Channel with Dynamic Spiking Threshold” Nano Communication Networks Journal (Elsevier) 19: 110-118

    Abbasi NA, Lafci D, Akan OB (2018), “Controlled Information Transfer Through An In Vivo Nervous System” Nature Scientific Reports 8:2298

    Kuscu M, Akan OB (2018), “Modeling Convection-Diffusion-Reaction Systems for Microfluidic Molecular Communications with Surface-based Receivers in Internet of Bio-Nano Things” PLOS One 13(2): 192-202

    Ramezani H, Akan OB (2018), “Impacts of Spike Shape Variations on Synaptic Communication” IEEE Transactions on Nanobioscience 17(3): 260-271

    Ramezani H, Khan T, Akan OB (2018), “Sum Rate of MISO Neuro-spike Communication Channel with Constant Spiking Threshold” IEEE Transactions on Nanobioscience 17(3): 342-351