Ebubekir Avci

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Senior Lecturer

Massey University

New Zealand

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About

Dr. Ebubekir Avci is a Senior Lecturer at Massey University in New Zealand. His research interests encompass the development of innovative technologies for chemical sensing in biological systems, microfabrication techniques for microfluidics, and advancements in robotic control systems. Recent publications include works on ingestible smart capsules and robotic systems designed for in vivo applications, highlighting his contributions to both engineering and biomedical fields.

Recent Grants

Grant: Close

Optical Nano-Machines to Study Single-Molecules

Open Date: 2018-01-01

Close Date: 2021-01-01

Articles (15)

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Collaborators (5)

David G. Thomas

Massey University

NEW ZEALAND

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Jack L. Y. Chen

Lecturer

University of Auckland

NEW ZEALAND

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Volker Nock

Associate Professor

University of Canterbury

NEW ZEALAND

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Urs Staufer

Delft University of Technology

NETHERLANDS

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Jadranka Travas-Sejdic

Professor

University of Auckland

NEW ZEALAND

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Ebubekir Avci

Research Interests

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About

Recent Grants

Articles (15)

3D Robotic Control of Micro-Scale Optical Swarms at an Interface

Ingestible Smart Capsules for Chemical Sensing in the Gut

Novel Piezoelectric Device for Inducing Strain on Biological Tissue At High Speed

An Alternative Micro-Milling Fabrication Process for Rapid and Low-Cost Microfluidics

Smart capsules for sensing and sampling the gut: status, challenges and prospects

Interfacial colloidal assembly guided by optical tweezers and tuned via surface charge

Anchoring Mechanism for Capsule Endoscope: Mechanical Design, Fabrication and Experimental Evaluation

Development of a Robotic Capsule for in vivo Sampling of Gut Microbiota

Wind speed prediction for small sample dataset using hybrid first‐order accumulated generating operation‐based double exponential smoothing model

Statistical wind speed forecasting models for small sample datasets: Problems, Improvements, and prospects

Optical microlever assisted DNA stretching

Measurement of Peristaltic Forces Exerted by Living Intestine on Robotic Capsule

A modified GM(1,1) model to accurately predict wind speed

Inside the ensemble: unlocking the potential of one-at-a-time experiments with lab-on-a-chip automation

Inside the ensemble: Unlocking the potential of one-at-a-time experiments with lab-on-a-chip automation

Collaborators (5)

David G. Thomas

Jack L. Y. Chen

Volker Nock

Urs Staufer

Jadranka Travas-Sejdic

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