Olga Szmit received her MSc. degree from Chemical Technology, Gdańsk University of Technology. In 2014 she also graduated from University of Business and Administration, Ecoenergetic: Administration of renewable energy sources.
She gained project administration experience during realization of many projects: firstly in private enterprise, now in Gdańsk University of Technology.
Jesus Garcia was born in Acapulco, Mexico. In 2017 obtained his Master’s degree in Computer Science from the Instituto Nacional de Astrofisica Optica y Electronica, Mexico. In 2022 obtained his Doctoral degree in Computer Science from the same institution. Both studies, developed at the Biosignal Processing and Medical Computing Laboratory, focused on the analysis and classification of EEG signals related to imagined speech in BCIs, i.e., the detection of the imagination of specific words in brain signals. He is currently in a Postdoctoral research related to memory encoding in electroencephalographic signals at the Brain and Mind Electrophysiology Laboratory at Gdańsk University of Technology, Poland. His scientific fields of study include computer science, biosignal processing, machine learning, and neuroscience. He has a great interest in understanding the human brain employing computational methods. His non-scientific interests include guitar playing, tennis, and swimming.
was born in 2000. In 2022, he completed his Master’s of Science in Biological Sciences and Bachelor’s of Engineering in Chemical Engineering in an integrated dual degree program from Birla Institute Of Technology And Science, Pilani, India. During his final year, he worked as a research intern under Dr Giri P Krishnan at Bazhenov lab, University of California San Diego school of medicine to pursue his Master’s Thesis on “Using Markov models and machine learning to characterise replay based on spiking activity during sleep.”
and under Dr Anand Subramoney at the Institut für Neuroinformatik (INI), Ruhr-Universität Bochum to pursue his Bachelor’s thesis on “Using Long short-term memory Spiking Neural Networks to interpret and characterize the oscillatory activity and synchrony of a network of neurons.”. His previous works include research projects and internships in the field of Deep Learning, Computer vision and Neuroscience. He is currently conducting theoretical research on understanding the role of High frequency oscillations in memory using mathematical models and artificial intelligence. The goal of his research is to understand and discover the mechanisms for information processing and dynamics of memory formation in the brain.
Nastaran was born in Iran in 1996. In 2021, she graduated from Khajeh Nasir al-Din Toosi University of Technology (KNTU) with a Master of Science in Biomedical Engineering. With a desire to utilize her experience in professional scientific research, and an interest in signal processing, machine learning, and deep learning, she obtained the skills necessary to practice these topics during her master’s program and has more than four years of experience in the aforementioned fields.
In her master’s thesis, she explored the application of artificial intelligence in brain signal processing in order to detect Attention-Deficit Hyperactivity Disorder (ADHD) in its early stages by using magnetoencephalography (MEG). Over the years, she has developed research projects and taught courses in the fields of machine learning, biological signal processing, brain-computer interfaces, and neuroscience. Currently, she is a Ph.D. candidate in IT at the Gdansk University of Technology, conducting research related to memory encoding in electroencephalographic signals. Her research involves memory encoding in electroencephalographic signals. She is passionate about learning about the mechanisms of the human mind, and she views it as a key to unlocking many doors that have remained closed for so long. Asidefrom her interest in science, she enjoys playing the violin, painting, and exercising.
Shiraz, Iran, was her birthplace. She graduated from the University of Qazvin with a Master of Science in Artificial Intelligence. Her master thesis was focused on EEG signal processing for the purpose of Cue-based Brain Computer interface consisted of different Motor Imagery tasks. In 2019, she obtained a prestigious young brain researcher award from IBRO (International Brain Research Organization) and the full grant to attend SKKU university’s Neuroimaging Research Lab (COCOAN) in Suwon-Korea under the supervision of Dr. Choong-Wan Woo.
Afterwards, she also attended Neurorehabilitation lab to get some experience in neuromodulation techniques including Repetitive Transcranial Magnetic Stimulation (rTMS) and the physiologic measurements. From 2022 she has been enrolled to a doctoral program in biomedical engineering at the Gdańsk University of Technology, as part of the BME lab. Aside from science, she is passionate about spirituality, animal care, nostalgic music, fashion design and painting.
Tomasz obtained a master’s degree in electronics and telecommunications, specializing in sound and image engineering. Earlier he graduated as a computer science engineer, specializing in geoinformatics. Currently, during doctoral studies at the Gdańsk University of Technology. There he works on the intelligent processing of dysfunctional speech in the Brain and Mind Electrophysiology Laboratory. In 2018-2019 he worked in the cryptographic solutions department of Polish Security Printing Works. In 2020-2021, he worked as a data engineer at Babblelabs (acquired by CISCO), where he developed a system for intelligent background noise removal in recordings. Since the end of 2021, he has been associated with the PICTEC Foundation, where he carries out scientific, research and development tasks. He is responsible for implementing deep learning algorithms and providing high-quality programming solutions.