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Dr. Hossein Banki-Koshki | Mental Disorder | Best Researcher Award

PhD Candidate in Biomedical Engineering, Amirkabir University of Technology (AUT), Iran.

Dr. Hossein Banki-Koshki is a distinguished researcher and recipient of the Best Researcher Award in the field of Mental Disorders. His academic journey has been a dynamic exploration of the intersection between technology and life sciences. Driven by an insatiable curiosity, he earned his Bachelor’s degree in Biomedical Engineering (Bioelectrics) from AUT in 2015, immersing himself in the electrifying realm of bioengineering. The spark ignited during his undergraduate years propelled him to further heights, leading him to pursue a Master’s in Biomedical Engineering with a specialization in Biomedical Informatics at AUT from 2016 to 2018. This postgraduate expedition was a harmonious blend of cutting-edge technology and the intricacies of biomedical data, sculpting Dr. Banki-Koshki into a versatile professional. His academic chapters form a compelling narrative of dedication to unraveling the mysteries of biomedical sciences through the innovative lens of engineering solutions. Beyond his academic prowess, Dr. Banki-Koshki’s notable achievements include the Best Researcher Award, showcasing his impactful contributions to the understanding and advancement of mental health disorders.

PROFILE  :

Scopus

Google Scholar

Research Gate

EDUCATION :

In the vibrant realm of academia, my educational journey has been a thrilling exploration of the intersection between technology and life sciences. Embarking on this intellectual odyssey, I earned my Bachelor’s degree in Biomedical Engineering (Bioelectrics) from AUT in 2015, delving deep into the electrifying realm of bioengineering. The spark ignited during my undergraduate years fueled my passion, leading me to pursue a Master’s in Biomedical Engineering with a specialization in Biomedical Informatics at AUT from 2016 to 2018. This postgraduate expedition was a dynamic blend of cutting-edge technology and the intricacies of biomedical data, shaping me into a versatile professional. The amalgamation of these academic chapters paints a vivid picture of my commitment to unraveling the mysteries of biomedical sciences through the lens of innovative engineering solutions. 🧠🔬✨

Experience :

Embarking on the pinnacle of his academic journey, he is currently immersed in the captivating realm of Bioelectrical Engineering as a diligent PhD student at Amirkabir University of Technology (AUT) in Tehran, Iran. His doctoral thesis delves into the intriguing intersection of chaos theory and neural networks, offering a unique perspective on modeling cognitive processes. The fruits of his labor have manifested in the publication of one ISI article and two domestic papers, contributing to the ever-expanding landscape of knowledge. With the imminent defense of his doctoral thesis in the next two months, the excitement and anticipation are palpable. His academic trajectory, marked by the completion of a master’s degree in Biomedical Information Engineering and a bachelor’s degree in Bioelectric Engineering, reflects his steadfast commitment to the field. Grateful for the opportunity to pursue both master’s and doctoral degrees through the talented student’s quota, he holds a TOEFL certificate, underscoring his proficiency in English. Beyond academia, his current role as a designer of intelligent tracking and tracing systems at the Iranian Ministry of Health, Food and Drug Organization, Medical Equipment Department, allows him to apply his expertise in real-world scenarios, contributing to advancements in healthcare technology. 🎓🔬🧠✨

Publications Top Notes :

Transcription factor binding sites identification on human genome using an artificial neural network

Citation : 2

Year      : 2017

Complexity emerging from simplicity: Bifurcation analysis of the weights time series in a feedforward neural

Citation : 1

Year      : 2023

networkWeight synchronization in feedforward neural networks and a novel method to detect synchrony patterns

Year      : 2023

A Novel Neuronal Model based on Chaotic Behavior of Artificial Neural Networks

Year      : 2021

Dimensionality Reduction of Binding Site Sequence Data on Human Genome Using a Deep Autoencoder Neural Network

Year      : 2018

Dr. Hossein Banki-Koshki | Mental Disorder | Best Researcher Award

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