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Dr. Rasa Karbauskaitė is a Researcher at the Cognitive Computing Group within Vilnius University's Institute of Data Science and Digital Technologies . She holds a Doctor of Computer Science degree (2010) and specializes in multidimensional data visualization, dimensionality reduction, and intrinsic dimension estimation. Her work combines geometric and statistical methods to analyze high-dimensional datasets. PhD: Computer Science (2010), focusing on local structure preservation in multidimensional data visualization Advanced Training: B2.1 English language course (2016) Research interests include: Fractal dimension analysis for speech emotion classification Manifold learning and topological preservation Optimization of maximum likelihood estimators for dimensionality reduction Geodesic distance applications in data structure analysis Nonlinear data projection algorithms Scientific contributions show a focus on Developing visualization quality assessment frameworks Advancing dimensionality reduction techniques Fractal-based feature selection for emotion recognition Comparative analysis of intrinsic dimension estimation methods Parameter optimization in manifold learning algorithms Awards : Lithuanian Academy of Sciences Young Scientists' Research Prize (2011) Professional Roles : Managing Editor of the Informatica journal Participant in international conferences like Data Analysis Methods for Program Systems (2011-2015) Contributor to IEEE proceedings and specialized workshops

• Computer Science
• Multidimensional Data Visualization
• Visualization Quality Assessment
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Dr. Gerda Ana Melnik-Leroy serves as Senior Researcher at Vilnius University's Institute of Data Science and Digital Technologies, specializing in the Cognitive Computing Group. Her interdisciplinary work bridges cognitive science, linguistics, and data analytics with significant contributions to understanding human factors in decision-making and language processing. Her academic credentials include: Doctorate in Cognitive Sciences (2019) PhD studies at École Normale Supérieure's Laboratory of Cognitive Science and Psycholinguistics, Paris (2016-2019) Master of Cognitive Science (cognitive psychology major) from École Normale Supérieure, Paris (2014-2016) Melnik-Leroy's research examines cognitive biases in data visualization, second language phonetic acquisition, and synthetic speech perception mechanisms. She investigates how exponential growth misinterpretation affects decision-making and explores perceptual differences between congenitally blind and sighted individuals in speech processing contexts. Her methodological approach combines behavioral experiments with computational modeling to address real-world cognitive challenges. Analysis of her 15 most recent publications (2019-2025) reveals two dominant research trajectories: (1) Cognitive bias mitigation in data visualization, particularly regarding exponential growth misinterpretation and graph design optimization, and (2) Cross-modal speech processing, including L2 phonetic training efficacy and synthetic speech evaluation across diverse user populations. These streams demonstrate consistent integration of cognitive theory with practical data science applications. Within the Cognitive Computing Group, Melnik-Leroy contributes to interdisciplinary collaborations that advance human-centered computing. Her experimental work informs both theoretical models of cognition and applied solutions for educational technology and accessible human-computer interfaces, maintaining active research output through university-affiliated projects at Akademijos St. 4, Vilnius.

• Cognitive Science
• Psycholinguistics
• Speech Processing
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Gediminas Navickas is a Lecturer at Vilnius University's Institute of Data Science and Digital Technologies (DMSTI) within the Faculty of Mathematics and Informatics, specializing in the Image and Signal Analysis Group. His work bridges academic research with practical applications in Lithuanian language technologies. His primary research focuses on automatic Lithuanian speech recognition, speech signal processing, speech synthesis methods and algorithms, and speech synthesis quality assessment. Navickas has made significant contributions to developing speech technologies specifically for the Lithuanian language, addressing the challenges of resource scarcity compared to more widely spoken languages. His work demonstrates strong interdisciplinary connections between computer science, linguistics, and cognitive science. Navickas's publication record reveals a consistent trajectory of innovation in speech technology, with recent work emphasizing cognitive approaches to evaluating synthetic speech, particularly examining differences in perception between blind and sighted users. His research has evolved from foundational work on neural network architectures for speech synthesis to comprehensive studies on speech corpus development and accessibility applications. He has been instrumental in major EU-funded projects including the LIEPA series (2013-present), which have developed comprehensive speech recognition and synthesis systems for Lithuanian. These projects have produced practical applications ranging from educational robots to voice-controlled mobile services and assistive technologies for the visually impaired. Member of Lithuanian Computer Society (LIKS) Council Member of IEEE organization Active participant in COST actions including UniDive and Multi3Generation Navickas regularly engages with the public through media appearances on LRT radio and television, where he explains complex speech technology concepts to general audiences. His science communication efforts demonstrate a commitment to making technical research accessible and relevant to Lithuanian society.

• Speech Recognition
• Speech Synthesis
• Signal Processing
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Professor Romaldas Rubikas is a distinguished academic and clinician at the Lithuanian University of Health Sciences, where he serves as a Professor in the Department of Heart, Thoracic and Vascular Surgery within the Faculty of Medicine. He is also affiliated with the Heart, Thoracic and Vascular Surgery Clinic and LSMU Hospital Kauno Clinics. With a Doctor of Science degree obtained in 1989, Professor Rubikas has established himself as a leading expert in thoracic surgery in Lithuania. Professor Rubikas's research interests focus on several critical areas of thoracic surgery: Thoracic surgery techniques and innovations Lung cancer diagnosis and multidisciplinary treatment approaches Management of chest trauma, particularly penetrating injuries involving cardiac structures Surgical treatment of airway conditions including laryngotracheal stenosis Optimization of bronchial stump closure techniques to prevent postoperative complications His publication record demonstrates consistent scholarly activity with numerous research articles, conference presentations, and significant contributions to medical literature. Professor Rubikas has authored the first Lithuanian-language textbook on thoracic surgery and has been instrumental in developing multiple editions of national treatment guidelines for lung cancer since 2007. His work bridges clinical practice, academic research, and medical education. Professor Rubikas has made notable contributions to advancing thoracic surgical care in Lithuania through: Standardizing lung cancer diagnosis and treatment protocols Developing practical surgical techniques for complex thoracic procedures Training generations of medical students and surgical residents Establishing evidence-based practice guidelines adopted nationally His research on penetrating chest trauma management has demonstrated that prompt coordinated and multidisciplinary approaches can lead to good survival rates even from severe intrathoracic organ injuries. His experimental work on bronchial stump closure techniques has provided valuable insights for reducing post-pneumonectomy complications.

• Thoracic Surgery
• Lung Cancer
• Chest Trauma
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