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Filip IlievskiView profile

Assistant Professor

• Commonsense Reasoning
• Neurosymbolic AI
• Analogy and Abstraction
• +11 more

Filip Ilievski serves as an Assistant Professor of Commonsense AI (Sr.) at Vrije Universiteit Amsterdam, where he leads the Learning and Reasoning Group. He holds additional affiliations as an Affiliated Scientist at USC Information Sciences Institute and Amsterdam Sustainability Institute, and serves as Scientific Coordinator of the Digital Sustainability Institute (DiSC). His academic journey includes a PhD from Vrije Universiteit Amsterdam (2015-2019), research positions at USC (2019-2023), and a research visit to Carnegie Mellon University (2017). Dr. Ilievski's research focuses on advancing human-centric AI with common sense for social good applications. His work spans three interconnected areas: commonsense reasoning (including situational awareness, numeracy, and modeling of other agents), analogy and abstraction (studying cognitive generalization mechanisms through narratives and lateral thinking puzzles), and AI for social good (interpreting complex online media like internet memes and developing knowledge-based solutions for sustainable policies). He employs neuro-symbolic methods including prototype-based networks, combining LLMs with deterministic engines, and reasoning with scene knowledge graphs to create robust, interpretable AI systems. His publication record shows a strong trend toward multimodal reasoning and practical applications of commonsense AI, particularly in understanding internet memes, developing sustainable AI solutions, and creating robust evaluation frameworks like the MARVEL benchmark. Recent work increasingly integrates cognitive theories with neural architectures to address limitations in current foundation models, with particular emphasis on explainability and cultural context awareness. Best Student Paper Award at K-CAP for 'Knowledge-enhanced Agents for Interactive Text Games' Best Paper and Best Presentation Award at Workshop on Multimodal Content Analysis for Social Good (MM4SG) Book 'Human-Centric AI with Common Sense' published in Springer Nature Synthesis series Dr. Ilievski actively supervises a growing team of PhD students and postdocs, with current projects focusing on visual commonsense reasoning, meme semantics, analogical abstraction, multimodal alignment, and architectures for human-centric AI. His Digital Sustainability Institute (DiSC) coordinates research on knowledge-driven AI for sustainable policies, while his Situated AI minor program develops next-generation AI education. He maintains active collaborations with institutions including USC, CMU, RPI, University of Lyon, UvA, University of Bielefeld, and industry partners like Bosch Research, NEC Labs, Merit Technologies, and Tencent.

• Tissue Engineering
• 3D Bioprinting
• Regenerative Medicine
• +6 more

Dr. Angela Panoskaltsis-Mortari serves as Professor in both the Department of Medicine and Department of Pediatrics at the University of Minnesota Medical School, with a specialized focus in the Division of Pediatric Blood and Marrow Transplantation & Cellular Therapy. She holds multiple leadership roles including Vice Chair for Research in Pediatrics, Director of the University of Minnesota 3D Bioprinting Facility, Director of the Cytokine Reference Laboratory, and Associate Director of the TL1 Program (CTSI). Her research spans the interdisciplinary field of regenerative medicine with particular emphasis on tissue-organ engineering and biofabrication. The Panoskaltsis-Mortari Laboratory employs two primary approaches: decellularized whole organ scaffolds integrated with sophisticated bioreactors, and advanced 3D bioprinting techniques including extrusion, suspension, and laser-assisted methods. Current projects target the creation of functional lung, trachea, and esophagus tissues for transplantation, as well as developing sophisticated 3D cancer models for evaluating novel drugs and cell therapies. Analysis of her most recent publications reveals a strong dual focus on immunological aspects of transplantation (particularly Graft-versus-Host Disease mechanisms and prevention strategies) alongside cutting-edge biofabrication techniques. Her work bridges fundamental immunology with practical tissue engineering applications, creating translational research pathways from bench to bedside. Dr. Panoskaltsis-Mortari leads or participates in multiple significant research projects including 'Human Organ-on-Chip Platforms for Radiation Exposure Assessment' (2023-2027), 'REVEAL - Research Evaluating Vagal Excitation and Anatomical Linkages' (2022-2025), 'In Vivo Prevention of Murine GVHD' (2022-2027), and 'Sensory Function and Chronic Pain in Cerebral Palsy' (2021-2027), demonstrating her broad research impact across multiple disciplines. Her laboratory accepts students and researchers from diverse backgrounds including biomedical engineering, physiology, stem cell biology, computer science, mechanical engineering, biomaterials science, and surgery, reflecting the highly interdisciplinary nature of her work in regenerative medicine and biofabrication.

• Developmental Psychology
• Educational Psychology
• Emotional Development
• +2 more

Daniela Raccanello è Professore associato (Associate Professor) presso il Department of Human Sciences dell'Università degli Studi di Verona. Si occupa di psicologia dello sviluppo e dell'educazione con particolare attenzione alle emozioni ed alla motivazione. Coordinatrice del centro di ricerca HEMOT (Helmet for EMOTions) Presidente del Comitato Etico del Dipartimento Membro di diverse commissioni accademiche Ricerca focalizzata su: Sviluppo della competenza emotiva Memoria e rappresentazione di eventi traumatici Emozioni di riuscita nei contesti educativi Costruzione di concetti ingenui su soggettività vulnerabili Contatto: daniela.raccanello@univr.it | Ufficio: Palazzo di Lettere, Piano Terra, Stanza T08

David Gomez VarelaView profile

Researcher

• Proteomics
• Chronic Pain
• Microbiome Interactions
• +4 more

Dr. David Gomez Varela is a Senior Scientist at the University of Vienna's Department of Pharmaceutical Sciences, affiliated with the Division of Pharmacology and Toxicology. He holds a permanent position and directs the University of Vienna-Bruker Center of Excellence for Metaproteomics. His roles include leading interdisciplinary projects in proteomics, machine learning, and personalized health solutions. Previously, he worked at UC San Diego and the Max Planck Institute for Experimental Medicine, where he developed novel proteomic techniques like Data Independent Acquisition (DIA). Education: PhD in Biochemistry from Oviedo University (Spain), postdoctoral research in ion channel electrophysiology and microscopy at the Max Planck Institute (Germany), and senior scientist roles in the US and Germany. Research focuses on chronic pain mechanisms, host-microbiome interactions, and microbiome-driven drug discovery. Key projects include CODOP/COEWS algorithms for predicting COVID-19 outcomes and the SaLux pocket PCR machine. Recent publications emphasize proteomic profiling of pain signatures, microbiome interactions, and age/sex differences in neural tissues. Currently leads a team deploying DIA-PASEF mass spectrometry, ML analysis, and mouse behavior studies to identify chronic pain targets. The Center of Excellence for Metaproteomics collaborates with Bruker to advance LC-MS and AI for microbiome studies in health ecosystems. Grants and advising: Directed international teams in pandemic response projects, validated >40,000 patient data. Active in mentoring postdocs and PhD students in proteomics and systems biology. Labs/Teams: Director of the Vienna-Bruker Center, leading the Pharmacology & Toxicology Division's proteomics initiatives. Collaborates globally on translational medicine projects.

Helen C. BoucherView profile

Professor

• Social Psychology
• Self-Concept
• Self-Esteem
• +5 more

Helen C. Boucher is a Professor of Psychology at Bates College, specializing in social psychology with a focus on self-related processes. She holds a B.A. from the University of Illinois at Chicago (1998), an M.A. (2001), and a Ph.D. (2005) from the University of California, Berkeley. Her research explores self-concept, self-esteem, self-regulation, and cultural influences on psychological processes. Key areas include responses to self-threat, the psychology of money and social class, meaning in life, and cross-cultural differences in self-perception. She has advised numerous students on topics ranging from emotional residue beliefs to supernatural agency and social class dynamics. Dr. Boucher’s work bridges theoretical and applied psychology, with publications in Self and Identity , Journal of Cross-Cultural Psychology , and Personality and Social Psychology Bulletin . Her research highlights how cultural contexts shape self-perception and adaptive strategies, such as compensation for threats to self-meaning or leveraging money priming to enhance task persistence. She teaches courses on cultural psychology, social psychology, and positive psychology at Bates. Her interdisciplinary approach integrates cross-cultural comparisons (e.g., East Asian vs. Western perspectives), dialectical self-concept models, and interventions targeting well-being. Recent projects examine how socioeconomic status influences self-consistency and the role of meaning in life as a buffer against existential threats.

Christoforos KachrisView profile

Assistant Professor

• Hardware Accelerators
• FPGAs
• Edge AI
• +5 more

Christoforos Kachris is an Assistant Professor at the Department of Electrical and Electronics Engineering, University of West Attica since 2023. Previously, he co-founded and led InAccel, a startup pioneering FPGA deployment in the cloud, securing €500k in funding and winning awards like the Venture Impact Award (2021) and DeepBlue Cup (2019). He led EU projects such as VINEYARD (€6.3M, 2016–2018), the first to deploy FPGAs in cloud data centers. His research spans reconfigurable computing, hardware accelerators, cloud computing, and optical interconnects, with over 90 publications and 2,700+ citations. Education: Ph.D. (2007, Delft University of Technology), M.Sc. (2003, Technical University of Crete), and Diploma (2001, Technical University of Crete). His Ph.D. focused on FPGA-based network processing, with internship at Xilinx Research Labs, resulting in a US patent on configurable transactional memories. Research interests include machine learning on embedded systems, FPGAs, edge AI, reconfigurable computing, and optical interconnects. He has advised numerous students, many now in tech roles at Cisco, IBM, Ericsson, and startups. Notable contributions include a highly cited survey on optical interconnects in data centers and leadership in projects like VINEYARD and CloudAccel (Principal Investigator). Awards include Venture Impact Award and recognition in international hardware competitions.

John CondeelisView profile

Professor

• Cancer Biology
• Optical Physics
• Cell Biology
• +4 more

John Condeelis, PhD, is a renowned Professor in the Department of Cell Biology and Department of Surgery at Albert Einstein College of Medicine. He holds multiple leadership roles, including Director of Basic and Translational Research in Surgery, Co-Director of the Gruss Lipper Biophotonics Center, and Scientific Director of the Analytical Imaging Facility. His research focuses on cancer biology, optical physics, and cell migration, with a particular emphasis on tumor metastasis mechanisms. Dr. Condeelis pioneered multiphoton imaging technologies and discovered the tumor microenvironment of metastasis (TMEM), a key predictor of metastatic risk. His lab integrates advanced imaging with molecular biology to study how tumor cells interact with macrophages and blood vessels during dissemination. Research Interests: Dr. Condeelis investigates the dynamic interplay between tumor cells, macrophages, and the extracellular matrix using cutting-edge imaging techniques. His work elucidates mechanisms of invasion, intravasation, and metastatic colonization, with a focus on biomarkers like TMEM and MenaCalc. Recent studies explore racial disparities in metastasis and the impact of chemotherapy on tumor microenvironment composition. Key Contributions: Dr. Condeelis has authored over 300 papers, advancing understanding of metastatic pathways and developing diagnostic tools. His lab collaborates on clinical trials targeting metastasis drivers and optimizing therapies to minimize therapy-induced metastasis. He leads a multidisciplinary team including postdoctoral researchers, technicians, and students like Madeline Friedman.

Rolf Harald BaayenView profile

Professor

• Quantitative Linguistics
• Psycholinguistics
• Corpus Linguistics
• +4 more

Rolf Harald Baayen is a Professor of Quantitative Linguistics at Eberhard Karls Universität Tübingen, Germany. He holds a B.A. in Theology (1983) and an M.A. in General Linguistics (1985) from Vrije Universiteit Amsterdam, followed by a PhD in General Linguistics (1989). His career includes roles at the Max-Planck-Institut für Psycholinguistik (1990–2003) and academic positions at Radboud University Nijmegen, the University of Alberta, and Tübingen. His research focuses on quantitative methods in linguistics, psycholinguistics, and computational models of language processing. Notable awards include two ERC Advanced Grants (WIDE and SUBLIMINAL) and the Alexander von Humboldt Research Award (2011). He leads a research group on discrimination learning in language processing and has advised students across institutions. His work bridges theoretical linguistics with empirical and statistical methodologies. Education: B.A. Theology, Vrije Universiteit Amsterdam (1983) M.A. General Linguistics, Vrije Universiteit Amsterdam (1985) PhD in General Linguistics, Vrije Universiteit Amsterdam (1989) Research Interests: Baayen’s work integrates quantitative analysis with cognitive science, focusing on morphology, lexical processing, and computational models like Naive Discriminative Learning. He explores language universals, bilingualism, and the interplay between phonetics, syntax, and semantics. His ERC-funded projects investigate Mandarin Chinese lexical processing and subliminal linguistic effects. Grants & Awards: 2023: Honorary Doctorate, University of Tartu 2022: ERC Advanced Grant SUBLIMINAL (€2.5M) 2017: ERC Advanced Grant WIDE (€2.5M) 2011: Alexander von Humboldt Research Award (€5M) 2006: KNAW Muller Chair Labs & Teams: Directs a research group at Tübingen investigating discrimination learning’s role in language processing. Previously led labs at the University of Alberta and Radboud University, focusing on comparative psycholinguistics and language dynamics.

• Animal Cognition
• Numerical Cognition
• Magnetoreception
• +2 more

Dmitry Kobylkov is a Research Fellow at the Interdepartmental Center for Mind/Brain Sciences (CIMEC) of the University of Trento, Italy. His work investigates neural and cognitive mechanisms in animal models, with emphasis on innate capacities for numerical processing, face recognition, and spatial orientation. His core research spans Animal Cognition , Numerical Cognition , Magnetoreception , and Sensory Neuroscience . He employs electrophysiological recordings and behavioral experiments to study how domestic chicks and songbirds process numerical information, detect faces, and navigate using Earth's magnetic field—addressing fundamental nature vs. nurture questions in cognitive development. Analysis of his 2022-2025 publications reveals three dominant trends: (1) discovery of number-selective neurons in avian brains, (2) validation of the radical-pair mechanism in magnetic compass orientation, and (3) demonstration of innate face-selectivity in naive chicks. His interdisciplinary approach bridges neuroscience, biophysics, and comparative psychology. Scientific Awards: No awards, fellowships, or medals were mentioned in the provided text. Advising and Grants: No information about students, research grants, or funding sources was provided. Labs and Teams: Dr. Kobylkov operates within CIMEC's collaborative framework at the University of Trento, working closely with Giorgio Vallortigara (principal collaborator), Uwe Mayer, Orsola Rosa Salva, and international teams studying avian cognition and magnetoreception mechanisms.

Ammar KamoonaView profile

Researcher

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +2 more

Dr. Ammar Kamoona is a Researcher at the School of Engineering, RMIT University, specializing in Artificial Intelligence, Machine Learning, and their applications in energy systems, manufacturing, and computer vision. His work focuses on anomaly detection, energy demand prediction, and optimization algorithms. He is open to supervising Masters and PhD students in AI for clean energy and sustainability. His research outputs span 14 peer-reviewed articles and reports between 2018–2024, including notable contributions to smart grid technologies, photovoltaic power prediction, and defect detection in manufacturing using advanced machine learning frameworks. Notable collaborations involve projects like the 'Optimisation of Behind the Meter DER Generation Assets' funded by C4NET. Dr. Kamoona’s articles demonstrate a strong trend in applying deep learning and optimization techniques to solve real-world challenges in energy systems and manufacturing safety. His work bridges theoretical advancements in AI with practical industrial applications, emphasizing sustainability and safety. He holds an ORCID identifier (0000-0002-7441-9344) and can be contacted at ammar.kamoona@rmit.edu.au for supervision or collaboration inquiries.

• Biomedical Engineering
• Complex Medical Engineering
• Networked Systems
• +14 more

Dr. Shahab Abdulla serves as an Associate Professor at the University of Southern Queensland within the College of English Language, specializing in pathway programs for international students transitioning to tertiary education. His academic role bridges mathematics, engineering, and language preparation through foundational courses including Linear Systems and Control, Mathematical Methods, and General Science. His academic qualifications include: BSc from University of Technology, Baghdad MSc from University of Technology, Baghdad PhD from University of Southern Queensland Dr. Abdulla's research spans Biomedical Engineering , Complex Medical Systems , and Networked Control , with pioneering work in Deep Learning for environmental forecasting and medical diagnostics. His AI research encompasses Neural Networks, Reinforcement Learning, and graph-based models applied to climate impact assessment and resource management, reflecting a commitment to solving interdisciplinary global challenges through computational innovation. Analysis of his 15 most recent publications reveals consistent application of decomposition techniques (wavelet, Fourier, curvelet) integrated with deep learning architectures across domains including ocean energy forecasting, medical imaging, and social network analysis. This demonstrates a methodological signature of combining signal processing with AI to extract patterns from complex temporal and spatial data. Though specific awards aren't detailed, his leadership is evidenced by chairing IEEE conferences and international committee service. He has supervised over 14 higher-degree research students while leading the Advanced Data Analytics Modelling Research Simulation Group, generating 55+ Q1 journal publications with 1000+ recent citations and 30+ global seminars. The Advanced Data Analytics Modelling Research Simulation Group under his direction develops AI-driven solutions for environmental monitoring, medical diagnostics, and engineering systems, maintaining active collaborations across the Middle East, US, Japan, Europe, China, and Canada.

• Immunology
• Rheumatology
• Autoimmune Diseases
• +3 more

Christopher M. Burns, MD is an Associate Professor of Medicine at the Geisel School of Medicine at Dartmouth College. His primary appointment is in the Department of Medicine, where he contributes to both clinical practice and research initiatives focused on immunology and rheumatology. Dr. Burns received his medical degree from Albany Medical College in 1982 and completed his undergraduate education at SUNY - Albany, where he earned a BA in 1978. Dr. Burns' research primarily focuses on immune regulation, particularly the VISTA protein's role in modulating inflammatory responses and autoimmune diseases. His work spans multiple areas including rheumatoid arthritis, systemic lupus erythematosus, vasculitis, and other autoimmune conditions. He investigates how immune checkpoint molecules like VISTA regulate innate and adaptive immune responses, with implications for developing novel therapeutic approaches for inflammatory diseases. His research bridges basic immunological mechanisms with clinical applications in rheumatology. Analysis of Dr. Burns' recent publications reveals a strong focus on VISTA protein biology and its therapeutic potential across various autoimmune conditions. His research demonstrates how VISTA modulates neutrophil activity, macrophage function, and T cell responses in inflammatory contexts. More recently, his work has expanded to include clinical trial representation in autoimmune disease research and novel treatment approaches for refractory inflammatory conditions. The consistent theme across his publications is understanding immune checkpoints as targets for therapeutic intervention in inflammatory diseases. Dr. Burns has made significant contributions to the understanding of corticosteroid history and gout therapeutics, as evidenced by his review articles in these areas. His scholarly work bridges historical medical perspectives with contemporary immunological research. Dr. Burns has mentored numerous students and researchers in immunology and rheumatology, contributing to the development of the next generation of physician-scientists in these fields. His collaborative research approach is evident in his extensive publication record featuring work with multiple research teams across different institutions. His research program has been supported by various funding sources that have enabled his investigations into immune regulation and autoimmune disease mechanisms. Dr. Burns maintains active laboratory research while continuing clinical work in rheumatology, demonstrating the physician-scientist model that characterizes many faculty at the Geisel School of Medicine. His laboratory work focuses on translating basic immunological findings into potential clinical applications for patients with autoimmune disorders.

• Structural Dynamics
• Random Vibrations
• Transport Infrastructure
• +5 more

Dr. Abdollah Malekjafarian is an Assistant Professor and Ad Astra Fellow in the School of Civil Engineering at University College Dublin (UCD). He leads the Structural Dynamics and Assessment Laboratory (SDA-Lab) and serves as Principal Investigator for the Di-Rail project (funded by Science Foundation Ireland) and Coordinator of the WindLEDeRR project (funded by Sustainable Energy Authority of Ireland). His research focuses on Structural Dynamics, Random Vibrations, Transport Infrastructure, and Offshore Wind Turbines. He holds a PhD in Civil Engineering from UCD (2016) and has held roles including Postdoctoral Research Fellow and SFI Research Fellow. Awards include the KB Broberg Medal (2020) and Royal Irish Academy Charlemont Award (2018). He is an editorial board member of the Journal of Shock and Vibration and Journal of Vibroengineering. Research interests emphasize indirect monitoring of infrastructure (e.g., bridges, railways) using mobile sensors and vibration-based techniques. His work integrates machine learning and data-driven methods for structural health monitoring. Grants include projects on offshore wind turbine dynamics, railway inspection, and smart infrastructure systems. Teaching includes modules like Creativity in Design, Mechanics of Solids, and Structural Research Projects. Professional activities include organizing conferences and reviewing for journals such as Engineering Structures and Journal of Sound and Vibration. Key achievements include developing frameworks for drive-by bridge monitoring, scour detection in offshore wind foundations, and vibration control systems. His lab, SDA-Lab, focuses on advancing dynamic assessment methodologies for civil infrastructure resilience. Current projects address floating modular energy islands and lifetime management of wind energy systems.

Simon FooView profile

Professor

• Photovoltaics
• Multi-junction III-V compound Solar Cells
• Organic/Polymer Solar Cells
• +5 more

Simon Foo is a tenured Professor of Electrical and Computer Engineering at the FAMU-FSU College of Engineering, part of Florida A&M University and Florida State University. He has held roles including Department Chair (2010–2018) and has been a professor since 2005. His research focuses on photovoltaics and machine learning, with over 150 publications and 50+ graduated students. He leads 20+ funded projects from agencies like NASA, DOE, NSF, and industries like Boeing and Airbus. Education: Ph.D. (1988), M.S. (1985), and B.S. (1983) in Electrical Engineering from the University of South Carolina. Research Interests: Photovoltaics (multi-junction solar cells, quantum dots, perovskites) and machine learning applications in energy systems, control, and healthcare. His lab develops AI-driven solutions for renewable energy optimization and battery management systems. Key Awards: Teaching Incentive Award (1995) Teacher of the Year (2001 & 2010) Engineering Research Awards (2004 & 2008) Two Best Paper Awards (2001 & 2004) Advising & Grants: Mentored over 50 graduate students in photovoltaics and AI. Secured grants from NASA, DOE, NSA, NSF, and industry partners. Current projects include battery state-of-charge estimation and AI for aircraft fire detection systems. Labs & Collaborations: Collaborates with Airbus on aircraft safety systems and maintains an active research group focused on renewable energy and AI integration. His lab is currently full and not accepting students until 2027.

Shahrukh AtharView profile

Assistant Professor

• Image and Video Processing
• Perceptual Image Quality Assessment
• Digital Signal Processing
• +3 more

Dr. Shahrukh Athar is an Assistant Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on perceptual image quality assessment (IQA), degraded-reference and multiply-distorted image analysis, and digital signal/video processing. He also emphasizes educational development, particularly active learning strategies and pedagogical training for colleagues and graduate students. He teaches courses such as COMPENG 2DX3 (Microprocessor Systems Project), COMPENG 2SH4 (Principles of Programming), ELECENG 2CI4 (Introduction to Electrical Engineering), and ELECENG 3CL4 (Introduction to Control Systems). His work bridges machine learning applications in IQA with practical educational methodologies. Dr. Athar's research includes developing robust no-reference IQA algorithms using deep learning and constructing large-scale datasets. He has published extensively on topics like image debanding, blind quality assessment, and FPGA-based signal processing implementations. His LinkedIn and other professional profiles highlight interdisciplinary contributions in both technical and educational domains.