Find Academic Supervisors

• Neurocognition
• Memory Systems
• Eye Tracking
• +4 more

Roger Johansson is an Associate Professor and Senior Lecturer in the Department of Psychology at Lund University. He is affiliated with research groups including LAMiNATE (Language Acquisition, Multilingualism, and Teaching), the LU profile areas of Natural and Artificial Cognition, and Proactive Aging. His work focuses on the neurocognitive foundations of eye movements, attention, memory systems, and mental imagery, using techniques like eye-tracking and pupillometry. Key research interests include episodic memory creation/recall, cognitive control, event segmentation, and narrative reasoning. Recent publications emphasize applications of eye-tracking technology, cross-modal perception in audio descriptions, and cognitive processes in diverse populations. He has contributed to projects funded by Riksbankens Jubileumsfond and the Swedish Research Council, investigating topics like cognitive aging and knowledge acquisition in digital contexts. His collaborative network spans international institutions, with active involvement in conference organization and academic mentorship. Johansson's research often bridges experimental psychology with neuroscientific methods, exploring how eye movement patterns reflect memory accessibility and cognitive engagement. He has developed novel methodologies for studying real-world memory formation and employs AI-driven approaches to analyze event perception in media consumption.

David NicholsView profile

Professor

• Visual Psychophysics
• Computational Modeling
• Cognitive Neuroscience
• +3 more

David Nichols is a Professor in the Department of Psychology at Roanoke College, where he specializes in neuroscience, sensation and perception, and computational modeling. He holds a Ph.D. in Experimental Psychology from Florida Atlantic University (2006), complemented by M.A. and B.A. degrees from the same institution. His research employs psychophysical and neuroimaging methods to investigate visual perception, brain maturation, and EEG applications in education. Research Focus Dr. Nichols' work spans visual psychophysics (e.g., motion perception, interocular suppression), computational modeling of neural processes, and cognitive neuroscience applications in EEG and fMRI. His recent studies examine brain maturation patterns, Alzheimer's disease biomarkers, and methodological innovations in undergraduate neuroscience education. Publications frequently involve undergraduate collaborators, reflecting his commitment to the teacher-scholar model. Publication Trends His 15 most recent articles (2013-2025) demonstrate interdisciplinary work bridging neuroscience, psychology, and education. Dominant themes include neuroimaging validation studies (fMRI/EEG), perceptual mechanisms (motion, face, and accent processing), and pedagogical research on undergraduate neuroscience training. Methodological rigor and real-world applicability characterize his scholarly output. Academic Contributions Dr. Nichols develops curriculum resources for computational neuroscience and EEG methodologies, emphasizing hands-on MATLAB training. He mentors undergraduate researchers across projects ranging from brain wave analysis to dementia studies, though specific student names are not listed in available sources. No scientific awards or lab affiliations are documented in the provided materials.

Sonia HaiducView profile

Associate Professor

• Software Engineering
• Program Comprehension
• Source Code Search
• +4 more

Sonia Haiduc is an Associate Professor in the Department of Computer Science at Florida State University (FSU). Her research focuses on software engineering, particularly software maintenance, evolution, program comprehension, and source code search. She holds a Ph.D. (2013) and M.Sc. (2009) from Wayne State University, and a B.Sc. (2006) from Babeș-Bolyai University in Romania. **Education:** Ph.D. in Computer Science, Wayne State University, 2013 M.Sc. in Computer Science, Wayne State University, 2009 B.Sc. in Computer Science, Babeș-Bolyai University, 2006 **Research Interests:** Software Engineering Methodologies Source Code Analysis Empirical Software Engineering Video Tutorials for Software Learning Developer Communications Human Factors in Software Development Her service contributions include organizing key conferences like IEEE International Conference on Program Comprehension (ICPC) and chairing roles in workshops such as Mining Unstructured Data (MUD). She has been recognized with awards including the Google Anita Borg Scholarship and multiple ACM SIGSOFT travel awards. **Grants & Labs:** Director of the SERENE Group at FSU National Science Foundation Award CCF-1526929 (2015–2018): Focuses on text retrieval in software engineering Teaching spans courses like Software Engineering II and Graduate Software Engineering, with extensive TA experience in foundational computer science courses.

Stefan BrucknerView profile

Professor

• Biomedical Visualization
• Volume Rendering
• Visual Data Exploration
• +1 more

Stefan Bruckner is Professor of Visualization at the University of Bergen, specializing in biomedical visualization, volume rendering, and visual data exploration. His work develops novel techniques for analyzing complex scientific datasets across meteorology, medicine, and materials science. Dr. Bruckner's research group develops interactive visual analytics tools for weather forecasting, medical diagnostics, and ensemble data analysis. His methodological innovations include GPU-accelerated rendering, visual parameter exploration, and uncertainty visualization. He received the 2011 Eurographics Young Researcher Award for contributions to illustrative visualization. Professional service includes program committee roles for IEEE VIS, Eurographics, and ECRTS conferences. His pedagogical contributions span visualization, computer graphics, and programming languages at institutions including École normale supérieure and École polytechnique.

Mihai SurdeanuView profile

Associate Professor

• Natural Language Processing
• Machine Learning
• Deep Learning
• +2 more

Mihai Surdeanu is an Associate Professor in the Department of Computer Science at the University of Arizona. His academic work focuses on advancing natural language processing and machine learning techniques, with a particular emphasis on large language models, information extraction, and model efficiency. He can be reached at msurdeanu@arizona.edu. Research Interests: Natural Language Processing Machine Learning Deep Learning Information Extraction Artificial Intelligence Scientific Trends: His recent work explores critical challenges in large language models, including data contamination detection, adversarial perturbation defense, quantization methods, and reasoning robustness. Publications highlight techniques like prompt chaining, layerwise optimization, and speculative generation to improve model performance and interpretability.

Payal MohapatraView profile

Researcher

• Machine Learning
• Healthcare Technology
• Audio Signal Processing
• +3 more

Payal Mohapatra is a fourth-year PhD candidate in Computer Engineering at Northwestern University's McCormick School of Engineering, part of the IDEAS Lab under the advisement of Dr. Qi Zhu. Her research focuses on human-centric applications of machine learning in healthcare, audio, and time-series data, emphasizing inclusivity and robust algorithm design. Prior to her PhD, she worked as an IC design engineer at Analog Devices Inc. and earned a Masters by Research from IIT Madras. Her research spans challenges like data quality in wearable sensors and trade-offs between personalization and generalization in algorithms. Notable projects include fatigue prediction in manufacturing workers and multimodal disfluency detection. She has interned at Meta Reality Labs and Mitsubishi Electric Research Labs (MERL). Key Contributions: Developed a multimodal framework for disfluency detection, achieving 10% performance improvement over unimodal methods (Interspeech 2024). Pioneered teeth-click-based hands-free control for smart glasses, enabling non-verbal interactions (MERL 2024). Designed a wearable network for workplace safety, published in PNAS Nexus and featured in tech media (2024). Awards & Recognition: EECS Rising Star 2024 (MIT Workshop Invitation) Best Paper Award at IEEE WINTECHCON 2018 Anveshan Design Fellowship 2016 (Analog Devices) Collaborations & Mentorship: Advised 12+ students across MS/undergraduate programs Organized inter-laboratory Cyber-Physical Systems study groups Collaborated with Boeing, Meta, MERL, and MxD on industry-focused research

Simon FarrellView profile

Professor

• Cognition
• Short-term memory
• Working memory
• +3 more

Simon Farrell is a Professor in the School of Psychological Science at the University of Western Australia (UWA), where he also served as Head of School from 2020 to 2022. He holds a BSc (Hons) and PhD in Psychology from UWA, and completed postdoctoral research at Northwestern University with Roger Ratcliff. His research integrates experimental psychology and computational modeling to study memory, judgment, and decision-making. Key contributions include the Serial-Order-in-a-Box (SOB) model of serial order memory and investigations into decision-making dynamics under uncertainty, particularly involving agent interactions. He teaches Cognitive Neuroscience and contributes to advanced statistics and computational modeling courses. Research interests focus on serial order memory mechanisms, temporal context in episodic memory, and goal-directed decision-making. Current projects explore how humans encode/retrieve critical information, navigate competitive decision contexts, and integrate memory with reinforcement learning. His work also addresses social utility preferences, inequality aversion, and the role of working memory in goal pursuit. Notable publications include studies on automation reliability learning (2024), episodic memory sampling (2023), and cultural responsiveness in psychology education (2025). Awards include the 2024 UWA Excellence in Teaching Award and the 2009 Paul Bertelson Award for cognitive psychology contributions. Active grants involve transport modeling, decision architectures in tactical systems, and automation reliability research. His lab collaborates internationally on projects like climate change belief segmentation and body image perception. Teaching and research emphasize bridging cognitive science with real-world applications through interdisciplinary approaches.

Nairán Ramírez-EsparzaView profile

Associate Professor

• Cultural Psychology
• Bilingualism
• Language Development
• +3 more

Nairán Ramírez-Esparza is an Associate Professor in the Department of Psychological Sciences Education at the University of Connecticut. She directs the Language and Behavior Cultural Lab (LAB-C-Lab), where her research examines how culture and language shape personality, behavior, and health through methodologies including digital recording, text analysis, and neurophysiological measures. Education: Ph.D. from University of Texas at Austin (2007). Research Focus: Her interdisciplinary work bridges cultural psychology, bilingualism, and social cognition. Key interests include cultural influences on auditory perception, bilingual identity formation, and the relationship between conversational quality and well-being. Recent investigations analyze accent diversity, multicultural experiences, and neural mechanisms of language processing. Publication Trends: Her articles predominantly explore bilingual cognition, cross-cultural communication, and social behavior. Methodological innovation is a hallmark, with studies employing recurrence quantification analysis, large-scale linguistic corpora, and neurocognitive measurements. Recent works increasingly focus on socio-acoustic environments and anti-racism frameworks. Laboratory Leadership: The LAB-C-Lab investigates cultural schemas, language acquisition, and behavioral patterns across diverse populations, emphasizing real-world applications of psychological science.

• Cognitive Psychology
• Eyewitness Memory
• Social Psychology
• +5 more

Mark Rivardo, Ph.D., is a Professor of Psychological Science at Saint Vincent College. He holds a Ph.D. from Bowling Green State University, alongside M.A. and B.S. degrees from Bowling Green State University and Saint Vincent College, respectively. His research focuses on cognitive psychology, eyewitness memory, stereotype threat, and social psychology phenomena such as mental health stigma and anxiety reduction. He teaches advanced courses like Capstone Research Thesis and Cognitive Psychology. Dr. Rivardo's work spans over two decades, with publications in high-impact journals like the North American Journal of Psychology . His research explores topics ranging from collaborative recall effects on misinformation to the impact of therapy animals on student anxiety. He has examined societal issues such as internet addiction's mental health correlations and the interplay between dress/speech style and witness credibility. His collaborative projects highlight interdisciplinary approaches, including studies on law enforcement language training and the cognitive mechanisms underlying inattentional blindness. Despite prolific output, no specific awards are listed, though his work consistently addresses practical applications in forensic, clinical, and educational settings.

• Visual Analytics
• Predictive Analytics
• Geographical Visualization
• +7 more

Ross Maciejewski is an Ira A. Fulton Professor of Computer Science at Arizona State University (ASU), leading the School of Computing and Augmented Intelligence. He serves as Director of the Department of Homeland Security-funded Center for Accelerating Operational Efficiency. His research focuses on visual analytics, geographical visualization, and predictive analytics, with applications in homeland security, public health, dietary analysis, and the food-energy-water nexus. He holds affiliations with the Center for Biodiversity Outcomes, Water Institute, and Global Futures Scientists program. Education: PhD (2009), M.S. (2004), and B.S. (2001) in Computer Science/Engineering from Purdue University and the University of Missouri. He advises students through courses like CSE 792 (Research) and CSE 499 (Individualized Instruction), and has led over 20 funded projects including NSF grants and industry collaborations. Research Interests: Visual analytics, predictive modeling, and interdisciplinary problem-solving. His lab, VADER, develops tools for decision support in complex systems. Key innovations include FEWSim (food-energy-water nexus simulations) and LossLens (machine learning diagnostics). Awards: NSF CAREER Award (2014), Best Paper (EuroVis 2017), ACM CHI Honorable Mentions (2018, 2022) Grants: INFEWS/T2 (2016-2021), NSF CAREER (2014-2019) Labs/Teams: Visual Analytics and Data Exploration Research (VADER) Lab

• Neuroscience
• Psychology
• Brain Function
• +4 more

Prof. Piia Astikainen is a Professor of Psychology at the University of Jyväskylä's Department of Psychology, affiliated with the School of Wellbeing. Her research investigates brain function principles related to perception, learning, aging, and depression. Current projects include studying social foreign language learning through behavioral and electrophysiological methods (funded by the Research Council of Finland until 2026). Key research areas focus on neural mechanisms of sensory processing, emotional regulation, and cognitive aging. Over 150 peer-reviewed publications span electrophysiological studies of auditory/visual perception, ERP biomarkers for depression, and animal models of sensory memory. Her work bridges clinical and cognitive neuroscience, emphasizing translational applications for mental health interventions. Research highlights include discovering age-related sensory gating deficits in somatosensory systems and identifying ERP signatures distinguishing depressed individuals from controls. Collaborations involve neuroimaging (MEG/EEG) and computational methods like tensor decomposition for ERP analysis. She leads a lab focused on understanding neural plasticity in learning and emotional processing, with training programs for graduate students in neuroscience methodologies.

Michael PageView profile

Professor

• Cognitive Psychology
• Human Memory
• Pro-Environmental Behavior
• +4 more

Professor Michael Page is a cognitive psychologist at the University of Hertfordshire's Department of Psychology, Sport and Geography. He holds a full-time appointment in the School of Life and Medical Sciences and leads the Centre for Research in Psychology and Sports. His primary research focuses on human memory mechanisms (specifically serial recall and Hebb effects) and pro-environmental behavior change initiatives like the Cube Project (cubeproject.org.uk). He has been active in over 12 research projects since 2001, including prominent collaborations on green hydrogen economy models and carbon footprint reduction strategies. Teaching emphases include cognitive psychology with special focus on memory systems. Notable projects include: Political Economy of Green Hydrogen (2025-2026) Discrimination Models for Data Analysis (2018-2026) Cube Project QB3 (2016-present) Research contributions span 47 peer-reviewed publications since 1994. Key areas of exploration include connectionist modeling of memory processes, dyslexia-related phonological deficits, and behavioral interventions for sustainability. Public engagement includes stand-up comedy performances on psychology topics and speaking engagements at major environmental events. Current initiatives involve low-carbon housing solutions through QB3 prototype development and interdisciplinary work with Belgian researchers on memory mechanisms. His work bridges theoretical cognitive science with practical applications in environmental policy and education.

Paula Cifuentes-FérezView profile

Professor

• Cognitive Linguistics
• Translation Studies
• Contrastive Linguistics (English-Spanish)
• +9 more

Paula Cifuentes-Férez is a Full Professor at the University of Murcia, Spain, affiliated with the Department of Translation and Interpreting within the Faculty of Arts and Humanities. She has been a faculty member since 2020 and currently serves as Vice-Dean of Internationalization at the Faculty of Arts. She is an active researcher and educator in translation and cognitive linguistics. PhD from the University of Murcia (2008) Supervised by Dr. Javier Valenzuela Manzanares Research stays at Max Planck Institute, Northwestern University, Institute of Cognitive Science, University of East Anglia, and Adam Mickiewicz University Her research interests focus on cognitive linguistics applied to English-Spanish contrastive studies, the cognitive processes in translation, and the role of personality and emotions in translation performance. She investigates how linguistic typology influences translation strategies, memory, and perception, particularly in motion events. Her work bridges translation theory, psycholinguistics, and cognitive science. Her recent publications explore themes such as the translation of boundary-crossing events, creativity and self-esteem in translators, time pressure effects, and the reception of dubbed content. These works reflect a strong interdisciplinary trend combining experimental methods (key-logging, screen recording, psychophysiological measures) with cognitive and linguistic theories. Member of the Translation, Didactics and Cognition research group Member of TRADICO Innova teaching innovation group Member of TREC Network and AELCO (Spanish Association of Cognitive Linguistics) Treasurer of AIETI (Iberian Association of Translation and Interpreting Studies) She has participated in six research projects and is currently involved in the EMOTRA2 project (PID2021-123650NB-100), funded by the Ministry of Economy and Competitiveness, focusing on emotions and translation. She has presented over fifty papers at international and national conferences. While student supervision is implied by her role and research activity, specific names of advisees are not listed in the provided texts.

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +7 more

Fernando Benites de Azevedo e Souza is a researcher at Zurich University of Applied Sciences (ZHAW) specializing in Natural Language Processing (NLP) and text analytics. He collaborates across disciplines including cultural management, speech recognition, and low-resource language technologies. Key research areas: NLP applications in arts management, speech-to-text systems, and German dialect identification Active in SwissNLP community and VarDial conference series Focus on practical implementations: e-assessment integrity, transliteration resources, and resource-constrained deep learning His work demonstrates technical expertise in: Comparative analysis of ASR systems (CEASR corpus) Transliteration pattern detection (TRANSLIT resource) Dialect identification challenges Combining lexical and sentiment analysis Scientific achievements include: Ranked first in ALTA 2018 patent classification competition Multiple top-three finishes at VarDial evaluations First place in GermEval 2020 low-resource speech recognition task

• Telecommunications
• Antenna Design
• Wireless Communication
• +17 more

Houda Harkat is an Assistant Professor at Universidade Lusófona, affiliated with the Associação para a Investigação e Desenvolvimento em Cognição e Computação Centrado nas Pessoas. She also holds research positions as a Researcher at Université Sidi Mohamed Ben Abdellah, Faculté des Sciences et Techniques de Fès, and as an Invited Auxiliary Researcher at UNINOVA Instituto de Desenvolvimento de Novas Tecnologias. Her academic foundation includes a PhD in Engineering Sciences, a Master’s in Telecom and Network Engineering, and a Licence in Mathematics, Informatics, and Physics, all from Moroccan institutions. PhD in Engineering Sciences, Physical Sciences, Mathematics and Computer Science – Université Sidi Mohamed Ben Abdellah (2018) Master in Telecom and Network Engineering – Université Sidi Mohamed Ben Abdellah (2013) Licence in Mathematics, Informatics, and Physics – Université Sidi Mohamed Ben Abdellah (2010) Her research spans two key domains: telecommunications and antenna systems , focusing on UWB antennas, beam steering, WiMAX/WLAN, and microstrip arrays; and artificial intelligence for environmental and human sensing , including wildfire detection using aerial imagery and deep learning (e.g., Deeplabv3+, MobileNetv2), and Wi-Fi-based gesture/sign language recognition via Channel State Information (CSI). Her work integrates simulation tools like HFSS and CST with optimization techniques such as genetic algorithms. The recent publications highlight a clear shift toward AI-driven solutions in cyber-physical systems, particularly in fire detection and segmentation using deep learning models, alongside continued contributions in wireless communication and antenna design. Her interdisciplinary work bridges signal processing, machine learning, and environmental monitoring, with growing emphasis on unmanned aerial systems and IoT-based decision support. Her scientific contributions include 11 journal articles, 4 book chapters, and numerous conference papers. She has participated in multiple research projects as a PhD and post-doctoral fellow, contributing to advancements in GPR signal processing, wireless sensing, and intelligent systems. Project participation: PhD Student Fellow in 1 project Post-doc Fellow in 1 project Organized 3 academic events Houda Harkat is actively involved in interdisciplinary research labs and teams focusing on intelligent systems, including UNINOVA’s Institute for New Technologies Development and wildfire monitoring initiatives such as the FIREFRONT project, which leverages aerial vehicles and AI for firefront forecasting and disaster management support.