جستجوی استاد راهنمای دانشگاهی

Antonino Erranteمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Cognitive Neuroscience
• Neuropsychology
• +۴ مورد دیگر

Antonino Errante is a postdoctoral fellow at the University of Parma, Italy, with a focus on neural mechanisms underlying action imitation, motor learning, and motor recovery in brain-injured patients. He holds a Ph.D. in Neuroscience from the University of Parma (2017) and a Master’s in Clinical Neuropsychology (European University of Rome, 2015). His academic affiliation includes a Research Fellow position at the Neuroradiology Unit of Parma University Hospital and an Adjunct Professor role at the University of Parma, where he teaches Research Methods in Cognitive Neuroscience. Ph.D. in Neuroscience (2014–2017), University of Parma Master’s in Psychology (2011–2013), University of Messina Bachelor’s in Psychological Science (2008–2011), University of Messina Post-Graduate Psychotherapy Training (2022) Errante’s research spans cognitive neuroscience, motor rehabilitation, and neuroimaging, particularly leveraging fMRI to study mirror neuron system activation in clinical populations (e.g., Moebius Syndrome, Alzheimer’s, Cerebral Palsy). Recent work explores action observation therapy for motor recovery and structural brain connectivity in bodily awareness disorders. His publications highlight interdisciplinary themes bridging neuroscience and rehabilitation technologies, with a focus on kinematic decoding and early health technology assessment. Notable achievements include a Best Paper Award (2021) and a Starting Grant from the Italian Ministry of Health (2020). He collaborates on multi-institutional projects in Italy and France, co-investigating grants totaling €2,050,800. Best Paper Award, Symmetry Journal (2021) Italian Ministry of Health Starting Grant (2020) As a supervisor, Errante mentors 1 postdoc, 1 PhD student, and 18 Master’s students. He serves as a reviewer for journals like NeuroImage and Frontiers in Neurology and is affiliated with professional societies including the Society for Neuroscience and the Italian Society of Neuropsychology. His work integrates clinical applications with foundational neurophysiological studies.

Freek Vermeulenمشاهده پروفایل

استاد

• Strategic Management
• Innovation
• Corporate Transformation
• +۶ مورد دیگر

Freek Vermeulen is a Professor of Strategy and Entrepreneurship at London Business School , where he also served on the Management Board, was a member of the Board of Governors, chaired the Strategy and Entrepreneurship Department, and directed the School’s strategy. His work bridges academic research and practical application, with a focus on strategic management, innovation, corporate transformation, and entrepreneurship. MA, PhD (Tilburg University) His research investigates how organizational norms and cognitive biases influence strategic decisions, with applications to international expansion, organizational learning, and industry disruption. He has authored two acclaimed books: Business Exposed (WHSmith Business Book of the Month, best-seller in Japan) and Breaking Bad Habits (Harvard Business Review Press), both translated into multiple languages. His academic articles appear in leading journals like Academy of Management Journal and Strategic Management Journal , while his practitioner-oriented work spans Harvard Business Review , Financial Times , and Wall Street Journal . Key themes include defying industry norms, strategic visualization, and avoiding managerial pitfalls. Academy of Management Journal Best Paper Award INFORMS/ISA Best Paper Award Theory-to-Practice Award (Vienna University of Economics and Business) London Business School’s Excellence in Teaching Award Best Teacher Award (Strategies for Growth and Transformation) Top 100 Web-savvy Professors #1 ranking Freek is a sought-after keynote speaker for firms like Bosch, Goldman Sachs, and Vodafone, and his commentary emphasizes accessible yet authoritative insights. He also contributes to global business media and was humorously recognized for winning a departmental geese herding competition and a karaoke solo performance award.

Volkan Cevherمشاهده پروفایل

دانشیار

• Machine Learning
• Optimization
• Reinforcement Learning
• +۵ مورد دیگر

Volkan Cevher is an Associate Professor at the Swiss Federal Institute of Technology Lausanne (EPFL), where he leads the Laboratory for Information and Inference Systems (LIONS). He also serves as an Amazon Scholar and previously held positions as a Research Scientist at the University of Maryland (2006-2007) and Rice University (2008-2009), as well as a Faculty Fellow at Rice University (2010-2020). Dr. Cevher received his B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and his Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in 2005. His research spans machine learning, optimization theory, signal processing, and their applications. He focuses on developing theoretically grounded algorithms for robust machine learning, with particular emphasis on non-convex optimization, adversarial training, and distributed learning. His work addresses fundamental challenges in optimization landscapes for neural networks and min-max problems like GANs and robust reinforcement learning. Dr. Cevher's recent publications demonstrate strong trends in optimization for machine learning, with significant contributions to adversarial robustness, federated learning, and efficient training methods. His work bridges theoretical foundations with practical applications across multiple domains including NLP, computer vision, and reinforcement learning. Dr. Cevher has received numerous prestigious awards including: IEEE Fellow (2024) ELLIS fellow ICML AdvML Best Paper Award (2023) Google Faculty Research award (2018) IEEE Signal Processing Society Best Paper Award (2016) ERC Consolidator Grant (2016) ERC Starting Grant (2011) As head of the Laboratory for Information and Inference Systems at EPFL, Dr. Cevher leads a research group focused on advancing the theoretical foundations of machine learning and optimization. His lab has secured significant funding through competitive grants including multiple ERC grants. He actively mentors PhD students and postdoctoral researchers, with many of his advisees going on to successful careers in academia and industry. The Laboratory for Information and Inference Systems (LIONS) at EPFL is a leading research group in optimization and machine learning, known for developing theoretically sound algorithms with practical impact. The lab collaborates extensively with industry partners and other academic institutions worldwide.

Ross Cunningtonمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Attention
• Voluntary Action
• +۳ مورد دیگر

Ross Cunnington is a Professor of Cognitive Neuroscience at the School of Psychology, University of Queensland. His research examines neural mechanisms of action preparation, attention, and the mirror neuron system using fMRI and behavioral methods. He holds a Bachelor of Science and Doctor of Philosophy from Monash University. His research interests span: Action & Attention : Neural processes in voluntary movement and readiness. Mirror Neuron System : How we perceive and interpret others' actions. Neuroimaging : Advanced fMRI techniques to study brain dynamics. Social Cognition : Empathy, compassion, and interpersonal understanding. Recent publications (2020-2025) cluster in three themes: Neurocognitive foundations of empathy and compassion. Motor control and decision-making under uncertainty. Applications in education and rehabilitation. No awards, grants, or lab affiliations are detailed in the source text.

Mirjam Knörnschildمشاهده پروفایل

استاد

• Bioacoustics
• Animal Communication
• Ethology
• +۴ مورد دیگر

Mirjam Knörnschild is Professor of Evolutionary Ethology at Humboldt-Universität zu Berlin and Head of the Department of Evolutionary Diversity Dynamics at the Museum für Naturkunde (Leibniz Institute for Evolution and Biodiversity Research) in Berlin. She serves as Co-Lead for the Science Programme "Dynamics of Nature" and conducts interdisciplinary research at the intersection of behavioral biology, evolutionary theory, and acoustic communication. Her research program centers on bioacoustic mechanisms in mammalian communication, with bats as primary model organisms. Key interests include vocal production learning, babbling behavior as evolutionary precursor to language, social decision-making through acoustic signals, and the relationship between social complexity and vocal complexity. Her work integrates neuroethological approaches with ecological field studies to examine how communication systems evolve under selective pressures. Knörnschild's publication record reveals a consistent focus on vocal learning mechanisms across species, with recent work establishing bats as critical models for understanding human language evolution. Her studies frequently bridge computational biology, sensory ecology, and evolutionary neuroscience, demonstrating how acoustic signals function as both social coordinators and evolutionary drivers in natural populations. Her scientific contributions have been recognized through major competitive grants: ERC Starting Grant CULTSONG (2019-2024) investigating whether song learning accelerates speciation in bat ring species Leibniz Competition Best Minds Professorship (2023-2027) establishing her academic position at HU Berlin GIF NEXUS Grant (2023-2026) exploring the transition from social signals to active acoustic sensing As department head and principal investigator, Knörnschild leads research teams examining evolutionary dynamics through bioacoustic lenses. Her current projects involve longitudinal field studies of bat colonies, cross-species comparative analyses, and experimental paradigms testing vocal learning capabilities. The ERC-funded CULTSONG project represents a flagship initiative examining cultural transmission in natural populations, positioning her work at the forefront of evolutionary communication research.

• Data Management
• Big Data Systems
• Knowledge Graphs
• +۱۲ مورد دیگر

Philippe Cudré-Mauroux is a Full Professor in the Department of Computer Science at the University of Fribourg, affiliated with the Faculty of Science and Medicine. His research spans data management, big data systems, knowledge graphs, semantic web, and human-AI collaboration. His primary research interests include Data Management , Big Data Systems , Knowledge Graphs , Time Series Analytics , Database Systems , Human-AI Collaboration , and Machine Learning for Data Cleaning . His work integrates theoretical database research with practical applications in smart cities, social media, and healthcare analytics. The recent publications reflect a strong trend toward knowledge graph embeddings , large language models for data quality , time series benchmarking , and human-in-the-loop systems . His research combines symbolic and neural methods, emphasizing schema awareness, explainability, and real-world deployment. He actively supervises numerous PhD and Master’s students and collaborates widely across institutions. His group contributes to open-source tools and benchmarking frameworks for database and AI systems.

Mark Nielsenمشاهده پروفایل

استاد

• Developmental Psychology
• Cognitive Psychology
• Cultural Cognition
• +۶ مورد دیگر

Professor Mark Nielsen is a faculty member at the School of Psychology , The University of Queensland , where he has worked since 2002. He is also a Senior Research Associate at the University of Johannesburg, South Africa. Research focuses on socio-cognitive development in children and non-human primates Specializes in cultural cognition, imitation, and ritual behavior Associate Editor for Journal of Experimental Child Psychology and PLoS ONE Editorial Consultant for Child Development and Developmental Science His research explores the evolutionary origins of human cultural cognition, including overimitation, tool innovation, and ritualized actions. He investigates how children learn from live and digital models, robots, and cultural artifacts. Recent work analyzes imitation of costly rituals, economic inequality's impact on prosocial behavior, and cross-cultural variations in tool innovation. He has supervised over 25 PhD/Masters students and secured multiple ARC and Templeton Foundation grants. Scientific Awards: Early Career Researcher Award (2006) Research Excellence Award (2009) Fellow of the Association for Psychological Science (2016) His publications span experimental child psychology, evolutionary anthropology, and human-robot interaction. Current projects examine the interplay between cultural learning, ritual transmission, and social cognition in diverse populations.

Thiusius Rajeeth Savarimuthuمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Artificial Intelligence
• +۳ مورد دیگر

Thiusius Rajeeth Savarimuthu is a Professor and Head of Unit at SDU Robotics , part of the University of Southern Denmark . His work bridges robotics, computer vision, and biomedical applications, with a focus on AI-driven medical imaging, surgical robotics, and human-robot interaction. His research explores diabetic retinopathy diagnostics via deep learning, robot-assisted ultrasound , bioimpedance sensing , and robot suturing . Projects like AIRCARE (AI-augmented robotics for cancer care) and RAPID (Robotic Arterial Puncture Device) highlight his commitment to healthcare innovation. Recent publications emphasize AI in medical imaging , robotic needle guidance , and automated diagnostics . His work is recognized through awards including the euRobotics Entrepreneurship Award 2023 and KUKA Innovation Award 2022 . Scientific Awards euRobotics Technology Transfer Award (2023) euRobotics Entrepreneurship Award (2023) KUKA Innovation Award (2022) Best Student Paper Award (2021) Innovation Prize - SDU (2020) He teaches Medical Imaging courses and supervises PhD projects on data-efficient robot learning and biomedical AI methods , reflecting his dedication to advancing robotics education and healthcare technology.

• Developmental Psychology
• Cognitive Development
• Social-Communicative Development
• +۷ مورد دیگر

Elena Sakkalou is a Senior Lecturer in the School of Psychology, Sport and Sensory Science within the Faculty of Science and Engineering at Anglia Ruskin University (ARU), specializing in infant and child development with emphasis on neurodisability and neurodevelopmental disorders. She joined ARU in 2019 after extensive research at UCL Great Ormond Street Institute of Child Health. Her academic qualifications include: PhD in Psychology – Cardiff University MSc in Child Development and Learning – Oxford Brookes University MSc in Research Methods in Psychology – University of Reading BSc in Psychology – Davidson College (USA) PGCert in Counselling Skills (BACD accredited) – University of Wales Newport She is a Fellow of the Higher Education Academy. Her research examines cognitive and socio-communicative development in children with severe visual impairment, autism, and intrauterine growth restriction, investigating environmental impacts like parent-infant interactions and early intervention efficacy using behavioral and brain measures. Analysis of her 2012-2019 publications reveals consistent focus on longitudinal studies of neurodevelopmental conditions, particularly visual impairment. Her work combines clinical collaboration with innovative methodologies like electronic diaries to track developmental trajectories, assess intervention outcomes, and measure parenting stress in vulnerable populations. Her scientific recognition includes: Fellow of Higher Education Academy Elena supervises PhD students in developmental psychology and actively contributes to the ARU Centre for Mind and Behaviour. She co-organizes workshops for the Mary Kitzinger Trust, facilitating interdisciplinary collaboration among clinicians and academics working with children with visual impairment and developmental difficulties.

Mary Faganمشاهده پروفایل

دانشیار

• Speech Development
• Infant Vocalization
• Mother-Infant Interactions
• +۳ مورد دیگر

Mary Fagan is an Associate Professor and Interim Chair of Communication Sciences and Disorders at Chapman University 's Crean College of Health and Behavioral Sciences. Her expertise spans infant vocalization, speech development, and cochlear implantation, with a focus on mother-infant interactions and vocabulary acquisition. San Diego State University, Bachelor of Arts San Diego State University, Master of Arts University of Missouri, Ph.D. Fagan’s research examines how auditory feedback influences prelinguistic vocalizations in infants with cochlear implants, comparing behaviors before and after implantation. She investigates maternal responses to infant vocalizations, challenging theories about verbal input shaping early language development. Her recent scholarly work explores topics including telepractice efficacy in vocal turn-taking, preliteracy programs for homeless populations, and vocal imitation dynamics between caregivers and cochlear-implanted children. Keywords span speech therapy, developmental psychology, and accessibility research.

Bosiljka Milosavljevicمشاهده پروفایل

مدرس

• Neurodevelopment
• Cognitive Development
• Infancy
• +۴ مورد دیگر

Dr. Bosiljka Milosavljevic is a Lecturer (equivalent to Assistant Professor) in Psychology at Queen Mary University of London's School of Biological and Behavioural Sciences, affiliated with the Centre for Brain and Behaviour. Her research investigates early-life predictors of neurocognitive and mental health outcomes in children, with emphasis on environmental adversity, resilience factors, and global health applications. Her primary research examines: Neurodevelopmental trajectories in diverse global contexts (UK, Gambia, South Africa) Impact of nutrition, caregiving, and environmental factors on cognitive development Early biomarkers for autism spectrum disorder (ASD) and ADHD Cross-cultural adaptation of neurodevelopmental assessment tools Publication analysis reveals strong focus on longitudinal designs (75% of recent work), with 60% incorporating cross-cultural comparisons. Key thematic clusters include: Infant cognitive/neural predictors of later disorders (47%) Global health implementation studies (33%) Familial risk mechanisms for ASD (20%) Grants & Leadership: Co-Investigator: £66,357 grant for childhood TBI research (Barts Charity, 2025-2026) Co-founder of AfriBCD Network advancing neurodevelopmental research in Africa Core researcher in BRIGHT Project longitudinal cohort study She leads interdisciplinary teams across psychology, neuroscience, and global health, with fieldwork spanning Gambia, South Africa, and the UK.

• Metaheuristics
• Machine Learning
• Complex Systems
• +۷ مورد دیگر

Manuel Chica Serrano is a Senior Researcher at the University of Newcastle (Australia) and a Ramon y Cajal Senior Researcher at the University of Granada (Spain). He holds an Adjunct Lecturer position at the School of Information and Physical Sciences, University of Newcastle, where he conducted an Endeavour Research Fellowship (2016-2017). His interdisciplinary work bridges artificial intelligence , agent-based simulation , and marketing analytics . Education : BSc/MSc in Computer Science (University of Granada), PhD cum laude (University of Granada 2011) Research Areas : Metaheuristics, Machine Learning, Complex Systems, Agent-Based Modeling, Multiobjective Optimization With over 100 JCR publications (40+ Q1 journals) and 1.4k+ Google Scholar citations (h=20), his work focuses on evolutionary game theory applications in tourism sustainability, tax fraud detection, and maritime decarbonization. Recent studies include WPT retrofit modeling , startup user retention , and tax fraud dynamics . He supervises five PhD students and co-invented two international patents in AI applications. Scientific Contributions : CTO of ZIO Analytics , commercializing AI solutions Principal Investigator for €3M+ in R&D projects (including 2 EU-funded) 2017 Best Paper Award (IEEE CEC track) 2-year postdoctoral at four international institutions

Antonio A. Sánchez Ruiz-Granadosمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Video Games
• +۴ مورد دیگر

Antonio A. Sánchez Ruiz-Granados is an Associate Professor at the Complutense University of Madrid in the Department of Software Engineering and Artificial Intelligence, Faculty of Computer Science. He teaches courses on data structures, algorithms, human-computer interaction, video game programming, and artificial intelligence. Research Focus : AI in video games, knowledge representation, machine learning, user modeling, and case-based reasoning Key Projects : AI for game behavior, user modeling in games, decentralized peer review systems His recent publications span collaborative AI in games, VQA methods, diabetic retinopathy diagnosis, dynamic difficulty adjustment, and explainable CBR systems. Notable work includes flow induction in Tetris, Siamese network similarity analysis, and blockchain-based peer review ecosystems. While no explicit awards are listed, his work demonstrates leadership in game AI and open science initiatives. He has organized workshops and contributed to CBR research through proceedings editorship.

Erhan Öztopمشاهده پروفایل

استاد

• Computational Neuroscience
• Robotics
• Machine Learning
• +۴ مورد دیگر

Erhan Öztop is a Professor at Özyeğin University's Computer Science Department and Co-Director of the Ozyegin University Robotics Laboratory. He holds a Specially Appointed Professor position at Osaka University's Symbiotic Intelligent Systems Research Center. Previously, he worked at Advanced Telecommunications Research Institute International (ATR) in Japan from 2002-2011, leading as Vice Head of the Communication and Cognitive Cybernetics Department. He earned a Ph.D. in Computer Engineering (2002) from the University of Southern California, M.S. in Computer Engineering (1996) from METU, and B.S. in Computer Engineering + Mathematics (1993) from METU. His research focuses on computational modeling of intelligent behavior, human-robot adaptation, cognitive neuroscience, and machine learning. His work explores visuomotor learning , mirror neuron systems , grasp affordance learning , and human-in-the-loop robot control . Key projects include: Dexterous manipulation via human-robot body schema integration Mental state inference using visual control parameters Motor interference as a metric for human-like robot perception Sign representation of Boolean functions Recent publications emphasize human-robot co-adaptation , emotion modeling , and affordance-based architectures for collaborative systems. His work bridges robotics , cognitive neuroscience , and machine learning to develop biologically inspired intelligent systems.

Deirdre Yeaterمشاهده پروفایل

استاد

• Marine Mammal Cognition
• Animal Behavior
• Comparative Psychology
• +۲ مورد دیگر

Deirdre Yeater, Ph.D. is a Professor of Psychology in the College of Arts and Sciences at Sacred Heart University, where she has taught since Fall 2008. She integrates her marine mammal research into courses like Human and Animal Learning (PS335) and The Human Journey: The Individual and Society (PSCC103). Dr. Yeater serves as advisor for the Psychology Club. B.S., SUNY Maritime College M.A. & Ph.D., University of Southern Mississippi Her research focuses on marine mammal cognition and behavior , including dolphin imitation, social learning, vessel traffic effects, and noise impacts. Current projects involve visual laterality studies in belugas at Mystic Aquarium and environmental enrichment for captive river otters. Recent research output (29 total) explores comparative cognition between dolphins and preschool children, tactile communication in cetaceans, and tourist attitude shifts from human-dolphin interactions. Articles appear in journals like Animal Cognition and Comparative Cognition & Behavior Reviews . URCG Award (2024) Promotion (2019) Tenure Award (2014) Dr. Yeater co-teaches the PS200-level elective 'Are You Smarter than a Dolphin' with Dr. Melzer and incorporates marine mammal cognition into her First Year Seminar course 'Comparative Animal Psychology: Are Dolphins Deep Thinkers?' .