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 Medellin, Colombia. He holds a bachelor degree in psychology and a Master’s in Psychology and Cognitive Neuroscience. He received his PhD in Neuroscience and Cellular Biology from Federal University from Para, in Brazil with a scholarship from the Organization of American States(OAS).
In 2019, he was awarded with the YITP grant in South Korea, and in 2020 he earned the IBRO Exchange Fellowship in Moscow, Russia (However travel was cancelled due to covid pandemic restrictions)
Currently, Luis is a postdoctoral researcher at the Brain and Mind Laboratory of Prof. Dr. Michal Kucewicz at Gdansk University of Technology, in Poland, where he is studying single unit recordings from concept cells in memory.
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.
Marina was born in 2001. In recognition of her academic achievements, she was awarded a scholarship by NAWA (National Agency for Academic Exchange). NAWA grants scholarships to international students based on annually announced programs, and the selection process involves rigorous tests and evaluations. In 2019, Marina was admitted to the Gdansk University of Technology, where she embarked on a journey towards academic excellence. Her hard work culminated in the successful completion of her undergraduate studies in 2023, with the submission of an insightful engineering thesis focused on the development of an intelligent mirror for individuals with visual impairments. Currently, she is pursuing further academic endeavors by studying Artificial Intelligence at the Gdansk University of Technology. She is actively engaged in cutting-edge research, particularly in the domain of depression detection through speech analysis. Marina is a valued member of Lion.AI, showcasing her commitment to advancing the field of AI. Additionally, she is an active participant in the PyData Trójmasto community. Aside from science, she has a deep interest in folk dancing and Polish language
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.