O. Tansel Baydas

I'm a first-year Electrical Engineering PhD student at University of Cambridge advised by Ozgur Baris Akan.

My research interests lie in the intersection of Communications, Information Theory, and Machine Learning for decentralized and biological systems.

I have BS degrees in Electrical & Electronics Engineering and Mathematics from Bogazici University, Istanbul, TR. I was an Applied Mathematics exchange student at University of Toronto for my junior year. I am a proud alumni of Ankara Science High School, TR.

In my undergraduate years, I worked with Dr. Oktay Cetinkaya (University of Oxford), Prof. Ali Emre Pusane (Bogazici University), and Prof. Ozgur Baris Akan.

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Publications

A novel MC model featuring a spherical transmitter and receiver with partial absorption. This model provides a more realistic representation than existing receiver architectures, such as passive or fully absorbing configurations. An optimization-based technique using particle swarm optimization (PSO) is applied to accurately estimate the cumulative number of molecules received.

For the Internet of Bio-Nano Things (IoBNT) applications demanding high transmission rates, this work proposes a molecular MIMO channel model with spherical transmitters and partially-absorbing ligand receptor-based receivers underpinned by four unique parameters. For the non-analytical nature of the MIMO channel, we use a supervised learning algorithm to estimate the number of molecules in the reception space. The estimation is used for ligand-receptor binding statistics, in which the intersymbol inference (ISI) and molecular interference are considered.

An improved molecular communication model consisting of a partially absorbing receiver with four unique parameters, whose values are determined using Particle Swarm Optimization (PSO). We evaluate the Root Mean Square Error (RMSE) performance of our model in the estimated received molecules, which shows a five times improvement in the cumulative number of received molecules compared to that of previous models. We also consider two new Concentration Shift Keying (CSK) modulation schemes, in addition to typical ones, and analyze the trend of Bit Error Rate (BER) and detection.

Blog Posts