Michał Kucewicz

urodził się w 1986 roku w Gdańsku. W 2005 roku ukończył maturę międzynarodową w gdańskiej „Topolówce” (III Liceum Ogólnokształcące). Dzięki stypendium im. G. D. Fahrenheita wyjechał do Wielkiej Brytanii, aby studiować neuronaukę. Dyplom licencjacki i magisterski otrzymał z Cambridge University, a doktorancki z University of Bristol specjalizując się w elektrofizjologii pamięci i funkcji poznawczych mózgu. Jego rozprawa doktorska dotyczyła mechanizmów pamięci operacyjnej badanych na poziomie aktywności elektrycznej sieci neuronowych. Po doktoracie kontynuował swoje badania nad pamięcią w amerykańskim Mayo Clinic pracując z inwazyjnymi nagraniami u pacjentów z padaczką. W 2018 roku powrócił do Polski i założył laboratorium Elektrofizjologii Mózgu i Umysłu w katedrze Systemów Multimedialnych, na wydziale Elektroniki, Telekomunikacji i Informatyki, Politechniki Gdańskiej. Jego projekty rozwijają technologie do elektrycznej stymulacji mózgu dla poprawy pamięci u pacjentów z padaczką, chorobą Parkinsona i innymi chorobami neurodegeneracyjnymi. Celem jego badań jest poznanie mechanizmów ludzkiej pamięci i umysłu. Jego życiową pasją jest ewangelizacja.

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Jan Cimbálník

was born in 1985 in Uherske Hradiste, Czech Republic. In 2010 he simultaneously finished Master degree’s at Charles University in Prague and Czech Technical University in Prague, both aimed at biomedical engineering and biomedical informatics. He started his Ph.D. studies at Brno Technical University while working at International Clinical Research Center, St. Anne’s University Hospital in Brno. His doctoral thesis was focused on development of detection algorithms for high frequency oscillations in intracranial EEG signals both in normal and epileptic brain tissue. Within his doctoral studies he underwent a one year stay at Mayo Clinic, USA where he met with Dr. Kucewicz. Upon his return to Czech Republic he finished his doctorate degree and continued his career as a biomedical engineer in the Department of Biomedical Engineering at International Clinical Research Center. In 2019 he was awarded a 6 month grant funded by Polish National Agency for Academic Exchange focused on collaboration with Dr. Kucewicz’s Brain and Mind Electrophysiology laboratory. He focuses on analysis of normal and epileptic intracranial EEG, big data processing and storage, and utilization of machine learning in brain electrophysiology.


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Michał Lech

was born in Gdynia in 1983. In 2007 he graduated from the faculty of Electronics, Telecommunications and Informatics of Gdansk University of Technology. In June 2013, he received his Ph.D. degree. The subject of the dissertation was: „A Method and Algorithms for Controlling the Sound Mixing Processes with Hand Gestures Recognized Using Computer Vision”. The main focus of the thesis was the bias of audio perception caused by the presence/absence of visual stimuli. He has worked as a researcher and C#/C++/Java developer in many projects concerning multimodal human-computer interfaces. Three of the projects were devoted to brain stimulation. In each project, he was responsible for developing both the signal acquisition/processing methods and data classification methods. Currently, his goal is to find optimal parameters of the brain stimulation for memory enhancement. His non-scientific interests concern guitar playing, music production, and symphonic orchestration.

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Brent Michael Berry

was born in Rochester, MN. He graduated summa cum laude from the Biochemistry, Molecular Biology and Biophysics program at the University of Minnesota and graduated with minor concentrations in Classics and Management. He received his M.D. degree from the same institution and then his Ph.D. degree from Mayo Clinic in Rochester. The subject of his thesis was electrophysiologic biomarkers of seizure onset zone. During his doctoral studies, he partnered with Dr. Kucewicz in an ambitious project called ‚Restoring Active Memories’ (RAM) funded by the Defense Advanced Research Project Agency (DARPA) as part of the BRAIN initiative. The two of them led the Mayo aspect of the project and it was there that the groundwork was laid for the BME lab. Together with Dr. Kucewicz, Dr. Berry made the pivotal discovery of memory enhancement through stimulation in the lateral temporal cortex, which initiated our laboratory. He is interested in signal processing, machine learning, algorithm development, and electrophysiology, particularly as those skills translate to brain-machine interfaces and medical devices. His non-scientific interests include political economics, volunteering in the community, and soccer.

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Dr. Bahareh Elahian

has a Ph.D. in Electrical and Computer Engineering, two masters degrees in telecommunication and signal processing and a bachelor’s degree in electrical engineering. She also worked as a postdoc research assistant in Biomedical Engineering at the University of Minnesota.  During PhD, her research required extensive experience in neurology and brain functionality where she used her signal processing knowledge to process brain electro-chemical signals. Her academic training and research experience to date have provided her with an excellent background in electrical and computer biomedical engineering, including expertise in signal processing, machine learning, artificial Intelligence, and programming/coding in multiple languages. For her internship, she worked at Johns Hopkins University and Thomas Jefferson Hospital following her PhD thesis on seizure localization and detection in human brain. She worked with different sets related to brain data streaming systems. During her postdoc, while working with animal models in the study of neuro-modulation and the effect of the ultrasound on seizure initiation and propagation, she learned how to perform micro-surgery on brain and record data utilizing micro-sensors measuring electro-chemical brain potentials.


Çağdaş Topçu

was born in 1987 in Adana. He received his bachelor’s degree in electrical engineering from Yıldız Technical University and his master’s degree in electrical and electronics engineering from Akdeniz University. The subject of his dissertation was Assessing functional recovery of face and arm transplantation and trauma patients with nonlinear methods. Between 2013 and 2015 he worked as a research assistant on the project Rehabilitation of patients with arm and face transplantation and trauma patients with functional electrical stimulation. He worked with full-face transplantation, arm transplantation and arm replantation patients to support their neurorehabilitation processes in this project. He works on memory processes in neurodegenerative diseases in his PhD studies. He is keen on biomedical signal processing and neural engineering.

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Victoria Marks

was born in San Antonio, Texas, in 1995.  In 2017, she graduated from the University of Miami with a Bachelor of Science in Biomedical Engineering and minors in Chemistry and Electrical Engineering.  She is now pursuing her Ph.D. in Biomedical Sciences, concentrating in Biomedical Engineering and Physiology, at the Mayo Clinic Graduate School of Biomedical Sciences.  She has joined the Mayo Systems Electrophysiology Lab, working with Dr. Gregory A. Worrell as her thesis mentor, and with Dr. Michal T. Kucewicz and the BME lab in the First Team project of the Foundation for Polish Science.  The subject of her thesis work is the interaction between sleep, memory, and cognition.  She is also interested in the role brain stimulation has in modulating these functions.  Her scientific passions include neuro-degenerative diseases, medical device development, and signal processing advancement, and her research goal is to illuminate the utility of existing therapies in alleviating memory-related symptomology.  Her non-scientific passions include classical literature, Egyptian mythology, and scuba diving.

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Krishnakant Saboo

was born in 1993 in India. He received his Bachelors and Masters in Electrical Engineering with specialization in Communication and Signal Processing from the Indian Institute of Technology, Bombay in 2016. He is now pursuing his PhD in Electrical and Computer Engineering department at the University of Illinois, Urbana-Champaign. His research is on application of machine learning techniques for neurology, with a focus on understanding the interaction of brain electrophysiology with memory and cognition. He is working under the mentorship of Prof. Ravishankar Iyer, Dr. Gregory Worrell and Dr. Michal Kucewicz. His broad interest lies in machine learning, signal processing and neuroscience with the goal of illuminating the working of the brain for development of neurotechnologies. Besides research, he likes to spend time on developing his recently discovered passion for teaching.

Władysław Średniawa

born in Warsaw, 1991. He graduated from the Faculty of Biology and Faculty of Physics, University of Warsaw. His first research interest was neurodegeneration process and mechanisms of cellular senescence finalized with the publication entitled “Dynamic JUNQ inclusion bodies are asymmetrically inherited in mammalian cell lines through the asymmetric partitioning of vimentin”. His further research focused on the ketamine model of schizophrenia studied mostly with electrophysiological techniques and he wrote his PhD thesis on that topic. He is an advanced Python programmer and he co-created an algorithm for current source density reconstruction (kCSD, https://github.com/Neuroinflab/kCSD-python). He worked in different projects on neurophysiological data analysis and experiments (i.e. autism spectrum models). Currently he assists neurosurgical operations and analyzes the patients data from the cognition tasks, with a special focus on searching for distinct sources of the brain activity. His non-scientific interests concern tennis, padel (Poland National Team player) and sailing.


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Theodore Pranoto Thayib

was born in Rochester, Minnesota, in 1999. Early in his life, Theo gravitated towards technology and everything mechanized. Fueled by a passion to understand the intricacies of how fundamental concepts worked on both a micro and a macro scale, Theo decided early on that engineering was his ideal career. He’s currently pursuing a double major in Computer Engineering and Cello Performance at Iowa State University. He joined the BME lab during the winter of 2018 to help analyze data from memory tests. He returned during the summer of 2019 to work on creating a complex model of the brain to visualize over 15,000 electrodes implanted in the brains of patients. Through engineering, Theo hopes to improve the working person’s quality of life. Outside of his studies, he enjoys playing the piano and cello, writing and producing music, and playing table tennis.

Aleksandra Orzoł

urodziła się w 1998 roku w Olsztynie. Uczęszczała do I Liceum Ogólnokształcącego im. Adama Mickiewicza w Olsztynie, gdzie na poziomie rozszerzonym realizowała przedmioty biologia, chemia i angielski. W 2017 roku rozpoczęła studia neurobiopsychologiczne w Instytucie Psychologii na Uniwersytecie Gdańskim. Podczas studiów uczęszczała na Koło Naukowe „Experior”, gdzie rozwijała swoje zainteresowanie naukowe. Była również odpowiedzialna za warsztaty na temat uzależnień behawioralnych dla licealistów, którzy brali udział w przeprowadzonych wcześniej badaniach. Obecnie jest odpowiedzialna za analizę danych w projekcie, który realizowany jest w naszym Laboratorium. Ponadto interesuje się tańcem ludowym, psychologią kliniczną i biologią mózgu.

Mikołaj Barcikowski

urodził się w Malborku w 1997 roku. W 2016 roku podjął studia na kierunku elektronika i telekomunikacja, które ukończył z tytułem inżyniera w 2020 roku. Projekt inżynierski dotyczył stworzenia mobilnego urządzenia do oceny chodu człowieka. Następnie kontynuował naukę na tym samym kierunku, co doprowadziło do podjęcia pracy magisterskiej na temat „Zastosowanie technologii śledzenia wzroku do badania sposobu funkcjonowania pamięci”. Jego zainteresowania obejmują systemy wbudowane oraz przetwarzanie sygnałów. Wolne chwile poświęca na uprawianie wspinaczki oraz jazdę na rowerze.

Sathwik Prathapagiri

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.

Sahar Seifzadeh

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.

Jesus Salinas Garcia

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.