جست‌وجوی استاد و پژوهشگر

Pehr Granqvistمشاهده پروفایل

استاد

• Attachment Theory
• Psychology of Religion and Spirituality
• Psychedelic Science
• +۴ مورد دیگر

Pehr Granqvist is a Professor of Psychology at Stockholm University and holder of the Eneroth Professorship. His research bridges attachment theory with diverse domains such as religion, spirituality, psychedelic science, and cultural evolution. He earned his PhD in 2002 from Uppsala University, focusing on attachment and religiosity, and has held academic roles including associate professor and research assistant before joining Stockholm University in 2009. PhD in Psychology, Uppsala University (2002) Professor of Developmental Psychology (2015) Full Professor of Psychology (2024) Granqvist’s research spans four key areas: (1) Attachment and Religion , examining how early caregiving shapes religious cognition; (2) Psychedelic Science , investigating neurohormonal and neurocognitive underpinnings of spiritual experiences; (3) Adolescent and Adult Attachment , using linguistic and relational analyses; and (4) Attachment in Mothers with Intellectual Disabilities , addressing risk factors and developmental outcomes. His work emphasizes empirical rigor, including longitudinal and experimental designs. Recent publications highlight intersections between attachment, spirituality, and cultural trends. Notably, his 2023 book Tryggare kan ingen vara? synthesizes these themes, while 2023’s Where the Spirit Meets the Bone introduces ‘religiospiritual cognition’ as a novel framework. He also explores psychedelic science’s role in understanding attachment-related spirituality. Scientific Awards include the Margaret Gorman Early Career Award (APA Division 36) and the Godin Prize (International Association for the Psychology of Religion). Funding sources encompass the Swedish Research Council, Riksbankens Jubileumsfond, and FAS. Granqvist’s teaching focuses on attachment theory, psychology’s intellectual history, and scientific philosophy. He previously directed Stockholm University’s doctoral program in psychology (2011–2015). Collaborative projects involve institutions like FUB, Stockholm County Council, and Uppsala County Council’s Knowledge Center.

• Systems Biology
• Biochemical Engineering
• Metabolic Engineering
• +۹ مورد دیگر

Jens B Nielsen is a Professor of Quantitative Systems Biology at Chalmers University of Technology , Sweden, where he leads a research group of over 60 people. He previously served as full Professor and founded the Center for Microbial Biotechnology at Danish Technical University (DTU) , and as Chief Science Officer of the Novo Nordisk Foundation Center for Biosustainability (2013-2018). Current CEO of BioInnovation Institute (Denmark) since 2019 Member of National Academy of Engineering (USA), National Academy of Science (USA), and multiple European academies His research spans systems biology , metabolic engineering , and industrial biotechnology , with over 700 publications and 50 patents. Key innovations include CRISPR-based yeast engineering , enzyme-constrained metabolic models , and microbiome-host interaction frameworks . He has founded several biotech companies and supervised 100+ PhD students. Recent publications highlight work on: Antimicrobial resistance dynamics in microbiomes CRISPRi/a for yeast tolerance mechanisms Metabolism-driven enzyme evolution over millennia Precision modeling of gut microbiota Scientific Awards : Nature Mentor Award for academic leadership ENI Award for energy innovation Novozymes Prize for biotech impact Gold Medal from Royal Swedish Academy of Engineering Sciences He has received continuous recognition as a Highly Cited Researcher (2015-2018) and serves on editorial boards of leading journals like Nature Communications and Trends in Biotechnology .

Marc Hellmuthمشاهده پروفایل

دانشیار

• Discrete Mathematics
• Combinatorics
• Graph Theory
• +۱۰ مورد دیگر

Marc Hellmuth is an Associate Professor of Computational Mathematics at the Department of Mathematics, Stockholm University, Sweden. His academic career includes previous positions as Junior Professor for Biomathematics and Computer Science at University of Greifswald, Germany (2015-2020), Lecturer at School of Computing, University of Leeds, UK (2020), and PostDoc positions at Saarland University and Max-Planck Institutes. Dr. Hellmuth earned his PhD in Computer Science from University of Leipzig, Germany (2007-2010, summa cum laude), supervised by Peter F. Stadler, and completed his Venia Legendi (habilitation) at Saarland University, Germany (2016). His research spans the interface of discrete mathematics, computer science, and life sciences with emphasis on: Discrete Mathematics including Graph Theory, Combinatorics, and Optimization Algorithm Design and Complexity Theory Mathematical and Computational Biology Phylogenomics and Evolutionary Analysis Computational Chemistry and Atom Tracking His publication record demonstrates a consistent focus on developing mathematical frameworks and efficient algorithms for biological problems, particularly in phylogenomics, orthology detection, and evolutionary analysis. His work bridges theoretical computer science with practical applications in biology and chemistry, often resulting in open-source software tools. Dr. Hellmuth has developed numerous software tools including AsymmeTree for phylogenetic simulation, tralda for tree algorithms, and specialized tools for phylogenomics, atom tracking, and graph analysis. His collaborative work extends internationally with research visits to institutions including Yale University, University of Leoben, Vienna University of Economics, University of Southern Denmark, Université de Montréal, and institutions in China.

Dan Gutfreundمشاهده پروفایل

پژوهشگر

• Machine Learning
• Natural Language Processing
• Computer Vision
• +۳ مورد دیگر

Dan Gutfreund is a Principal Research Scientist and Senior Manager at the MIT-IBM Watson AI Lab, focusing on machine learning with applications to natural language processing and computer vision. He previously held managerial and technical roles at IBM's Haifa Research Lab and was involved in IBM Project Debater. Gutfreund earned his PhD in computer science from the Hebrew University in Jerusalem in 2005. His research spans Neuro-Symbolic AI , Computational Complexity , and Foundations of Cryptography , with notable contributions to datasets like Moments in Time and ObjectNet . His recent work includes multimodal models for the metaverse, generative AI for engineering design, and simulator-assisted training for interpretable systems. Gutfreund's publications reflect expertise in AI applications for supply chain prediction, avatar personalization, and reconciling virtual disputes. He has also explored evolutionary algorithms for software engineering and constraint-based generative models in design tasks.

Laurens Bliekمشاهده پروفایل

استادیار

• Artificial Intelligence
• Optimization
• Sustainable Logistics
• +۵ مورد دیگر

Laurens Bliek is an Assistant Professor at the Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology (TU/e). He specializes in combining artificial intelligence (AI) with optimization techniques for computationally intensive problems, focusing on sustainable applications such as public transport, electric vehicles, and CO 2 reduction. Education: MSc in Applied Mathematics (2014), PhD in Systems & Control (2019) from Delft University of Technology. Prior Role: Postdoctoral researcher at the Algorithmics group, Delft University of Technology. Research Interests: His work addresses AI-driven optimization of expensive cost functions, particularly in logistics, communications, and healthcare. He develops methods to handle computationally intensive simulators and digital twins, emphasizing real-time decision-making and sustainability. Recent Publications: His research spans predictive maintenance using Fourier graph neural networks, real-time container yard allocation, and 5G network optimization. Articles appear in journals like IEEE Transactions on Neural Networks and Learning Systems and Computer Networks . Collaborations: Laurens collaborates with industry partners (LioniX, Dutch Railways) and organizations (European Supply Chain Forum, Logistics Community Brabant). He co-leads the 12-PhD program AI Planner of the Future and participates in AI sustainability working groups. Supervision: Co-promotor of PhD students Ya Song and Abdo Abouelrous, focusing on AI applications in routing and maintenance logistics.

Tillmann Vierkantمشاهده پروفایل

استاد

• Philosophy of Mind
• Free Will
• Moral Responsibility
• +۷ مورد دیگر

Professor Tillmann Vierkant is affiliated with the University of Edinburgh , working in the College of Arts, Humanities and Social Sciences within Philosophy, Psychology & Language Sciences . His inaugural lecture, 'The Four Faces of Volition,' explores the multifaceted nature of human will, emphasizing choice, control, rationality, and social scaffolding. His work bridges philosophy of mind, cognitive science, and AI ethics, addressing questions about free will, moral responsibility, and the ethical implications of autonomous systems. Research Interests : Philosophy of mind, free will, metacognition, self-control, AI ethics, and social dimensions of volition. Recent Publications : Focus on AI welfare, responsible agency, ethics of autonomous systems, and cognitive theories of volition. Scientific Awards : Not explicitly mentioned in the provided text. Advising & Grants : No specific details provided.

BÜLENT HAZNEDARمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Fuzzy Logic
• +۵ مورد دیگر

Bülent Haznedar is an Associate Professor in the Department of Computer Engineering at Gaziantep University's Faculty of Engineering, a position he has held since 2024. Previously, he served as Doctor Lecturer at Gaziantep University (2021-2024) and held academic positions at Hasan Kalyoncu University (2013-2021) and Erciyes University (2011-2013), where he progressed from Lecturer to Department Head. His educational qualifications include: Doctorate in Computer Engineering from Erciyes University (2011-2017) Master's degree in Computer Engineering from Erciyes University (2007-2010, with thesis) Licence degree in Computer Engineering from Erciyes University (2003-2007) Dr. Haznedar's research centers on Artificial Intelligence and Machine Learning applications, with significant contributions in hydrological modeling (streamflow forecasting using hybrid ANFIS algorithms), renewable energy (solar radiation optimization), medical diagnostics (thyroid nodule classification and cancer detection), and cultural heritage informatics (3D point cloud segmentation for historical buildings). His work consistently integrates fuzzy logic systems with metaheuristic optimization techniques to solve complex prediction problems. Analysis of his 29 journal articles (2016-2024) reveals a dominant focus on Adaptive Neuro-Fuzzy Inference Systems enhanced by evolutionary algorithms (PSO, GA, ABC) across hydrology and medical domains, with recent expansion into sustainable energy and heritage preservation. His publications show increasing interdisciplinary collaboration, particularly in TUBITAK-funded projects. His scientific recognition includes: TUBITAK Publication Encouragement Awards (2018, 2023) TUBITAK PhD Scholarship (2011) TUBITAK Master's Scholarship (2008) Dr. Haznedar has supervised eight master's theses on AI applications in streamflow forecasting, energy prediction, cancer classification, and heritage modeling. His research is supported by seven projects, most notably the TUBITAK 1001 project (2019-2023) developing Heritage Building Information Modeling for Turkey's cultural heritage restoration. He also contributed to TUBITAK's Digital Prosthesis Workshop initiative. While specific laboratory affiliations aren't detailed, his leadership in the TUBITAK cultural heritage project indicates active collaboration with multidisciplinary teams spanning engineering, computer science, and heritage conservation disciplines.

Linda Robinsonمشاهده پروفایل

دانشیار

• Marketing
• Management
• Psychology
• +۶ مورد دیگر

Linda Robinson is an Associate Professor in the School of Economics, Finance and Marketing at RMIT University and currently serves as Head of the Marketing Department. She has held various academic positions at RMIT since 2009, progressing from Lecturer to Senior Lecturer and now Associate Professor, while also taking on the leadership role of Head of Department since 2021. She previously served on the Australian and New Zealand Marketing Academy (ANZMAC) Executive Committee from 2018-2024, including as President from 2022-2024, and has organized major international conferences including the ANZMAC Conference in 2017 and the Global Marketing Conference in Seoul in 2023. Dr. Robinson's research spans the intersection of marketing, management, and psychology, with particular expertise in team processes and evolutionary psychology as applied to consumer and employee wellbeing. She began her career specializing in services marketing with emphasis on service team leadership and the psychology of service employees, and has since expanded her work to examine co-opetition, data sharing, design thinking in marketing education, decision-making of low-resourced consumers, and consumer obsessions. As a multi-method researcher, she is trained in both qualitative and quantitative approaches and has managed large research projects with industry partners. Her recent scholarly work shows a clear trend toward examining psychological aspects of consumer behavior, particularly focusing on wellbeing, decision-making processes, and the influence of social structures. The research spans multiple contexts including financial wellbeing, green purchasing behavior, negative customer engagement, digital media effects on families, higher education choice, and family purchase decision-making in emerging markets. This demonstrates her ability to apply marketing and psychological principles across diverse consumer contexts. Two RMIT Vice-Chancellor Awards for Excellence for leadership in learning and teaching initiatives Dr. Robinson has supervised numerous research projects at the Masters level, with a focus on consumer behavior, wellbeing, and decision-making across various contexts. Her teaching interests include marketing research, strategic marketing, and services marketing, and she previously served as Program Manager for the Master of Marketing program at RMIT University. She is known for her passion for applied, career-oriented learning that engages students and industry to improve learning outcomes.

• Ecology
• Evolutionary Biology
• Population Genetics
• +۳ مورد دیگر

Kalle Matias Leppälä is a postdoctoral researcher at the University of Helsinki's Faculty of Biological and Environmental Sciences, affiliated with the Organismal and Evolutionary Biology Research Programme. His work focuses on population genetics, statistical modeling, and evolutionary biology through computational approaches. Recent research includes Bayesian Gaussian process models for variance component estimation, generalized D-statistic methods for admixture analysis, and mathematical formulations for odds ratio calculations. His computational work intersects with ecology and genomics. He participates in the TreeBio Center of Excellence (2024–2026), funded by the Research Council of Finland, exploring tree biology and population dynamics. Current projects emphasize genetic admixture patterns in Arctic populations and statistical methodology development.

Okan Topçuمشاهده پروفایل

استاد

• Modeling and Simulation
• Distributed Simulation
• Agent-Based Simulation
• +۹ مورد دیگر

Professor Okan Topçu is a faculty member in the Department of Computer Engineering at Middle East Technical University, Northern Cyprus Campus (METU NCC), where he serves as Head of the Academic Board of Engineering and Natural Sciences. He holds a Ph.D. and M.S. from Middle East Technical University (Ankara, Turkey, 2007 and 1999 respectively). Education: Ph.D. & M.S. in Computer Engineering from METU Ankara Research Focus: Modeling and simulation, agent-based systems, distributed simulation, cybersecurity, and model-driven engineering

Matthew Torresمشاهده پروفایل

دانشیار

• Post-translational modifications (PTMs)
• G protein signaling
• Mass spectrometry-based proteomics
• +۳ مورد دیگر

Dr. Matthew Torres is an Associate Professor of Biological Sciences at the Georgia Institute of Technology and an Adjunct Faculty member. He leads the Torres Lab , where his team integrates mass spectrometry , bioinformatics , and yeast genetics to decode how post-translational modifications (PTMs) regulate G protein and MAP-Kinase signaling systems. His work spans from developing machine learning tools like SAPH-ire for PTM prediction to experimental validation of PTM roles in stress adaptation and signal transduction. Education: B.S. in Biology, Humboldt State University (1997) Ph.D. in Biochemistry, University of North Carolina at Chapel Hill (2007) Research Interests: His lab focuses on four major areas: Coordinated PTM-based regulation of dynamic signaling complexes Identification of novel signaling PTMs PTM networks in stress adaptation Technology development for regulatory PTM detection Scientific Awards: K99/R00 NIH Pathway to Independence Award (2010–2016) IBB Above and Beyond Award (2016) ASPET Early Career Award (2022) Lab and Mentorship: Dr. Torres has mentored over 20 graduate students and postdocs, many of whom have gone on to prestigious positions at institutions like Genentech, UCSF, MD Anderson, and Harvard. His lab is also involved in outreach programs including Project ENGAGES for high school students and science education for elementary and middle schools. Research Tools and Facilities: He is co-director of the Systems Mass Spectrometry Core (SYMS-C) at Georgia Tech, which supports advanced proteomics research across the university.

• Game Theory
• Political Economy
• Macroeconomics
• +۶ مورد دیگر

Salvatore Modica serves as a Full Professor of Economics (ECON-01/A) at the University of Palermo, Italy, within the Department of Economics in the School of Economics and Business Administration. His academic career spans over fifteen years with continuous teaching assignments from the 2009/2010 academic year through the upcoming 2026/2027 term. Professor Modica maintains regular office hours on Mondays, Wednesdays, and Fridays from 1:00 pm to 2:00 pm and can be contacted at salvatore.modica@unipa.it or by phone at +3909123895276. Professor Modica's research focuses on the theoretical foundations of economic behavior with particular emphasis on game theory, political economy, and institutional analysis. His work examines how social norms emerge and persist through evolutionary processes, how power dynamics shape institutional development, and how strategic interactions determine economic outcomes. He has developed sophisticated theoretical frameworks for analyzing collective action problems, leadership structures, and the political economy of conflict, often bridging mathematical rigor with institutional insights. His recent scholarly output demonstrates a clear trajectory toward increasingly sophisticated applications of game theory to political economy questions. Publications from 2021-2024 show deep engagement with how social norms interact with power structures, how institutions evolve through conflict, and how seemingly irrational behaviors emerge as stable equilibria. His work increasingly connects theoretical game-theoretic models with historical and contemporary political economic phenomena, particularly in understanding state formation and organizational behavior. Throughout his career, Professor Modica has maintained a robust teaching schedule across multiple disciplines including Informatics, Business Economics, Statistics and Data Science, and Economic and Financial Sciences. His core courses—Calculation of Probabilities, Game Theory, and Political Economy—have been consistently offered across various degree programs, demonstrating his central role in providing quantitative economic education at the University of Palermo.

Paola Arlottaمشاهده پروفایل

استاد

• Neuroscience
• Developmental Biology
• Stem Cell Biology
• +۳ مورد دیگر

Paola Arlotta is the Golub Family Professor and Chair of the Department of Stem Cell and Regenerative Biology at Harvard University. She is a principal faculty member at the Harvard Stem Cell Institute, an Institute Member at the Broad Institute, and an Associate Member of the Stanley Center for Psychiatric Research. Her career spans groundbreaking work in cortical development and regenerative neuroscience. Education: M.S. in Biochemistry from the University of Trieste, Italy Ph.D. in Molecular Biology from the University of Portsmouth, UK Postdoctoral training in Neuroscience at Harvard Medical School Dr. Arlotta’s research focuses on defining molecular pathways that govern the differentiation of neural progenitors into cortical projection neurons, with a special interest in corticospinal neurons linked to ALS and spinal cord injury. Her lab bridges developmental neuroscience with stem cell engineering to study human-specific cortical development using 3D organoid models, aiming to uncover mechanisms of neurodevelopmental diseases. Scientific Contributions: 2024: Discovery of individual susceptibility to neurotoxicity in brain chimeroids 2024: Microglia’s role in fetal brain inflammation response 2022: Autism risk genes affect asynchronous neuron class development 2019: Reproducible generation of human cortical diversity in organoids Scientific Awards: Elected to the National Academy of Medicine for pioneering brain organoid research Her lab employs advanced techniques like single-cell RNA sequencing, FIN-seq for frozen tissue analysis, and in utero electroporation. She also explores neuronal reprogramming and myelin dynamics across axons, contributing to understanding cortical circuit assembly and repair.

Andrea Rotaمشاهده پروفایل

دانشیار

• Religious Studies
• Religion and Politics
• Religion and Media
• +۵ مورد دیگر

Andrea Rota is an Associate Professor of Religious Studies at the University of Oslo's Department of Cultural Studies and Oriental Languages. Previously, he held positions as Assistant Professor at the University of Bern (2017-2023) and research roles at the University of Fribourg. His academic credentials include a Habilitation (2020) and PhD (2011) in Religious Studies from Swiss institutions, complemented by a Certificate in Higher Education from the University of Bern. Rota's research examines contemporary religiosity with emphasis on: Religion-society interactions post-WWII Media adaptation by religious groups (particularly evangelicals and Jehovah's Witnesses) COVID-19's impact on religious/secular narratives 1960s academic-religious innovation connections Theoretical frameworks including collective intentionality and emic-etic distinctions His publications demonstrate consistent focus on religion-media dynamics (30% of recent works), historical analyses of religious change (25%), and methodological innovation (20%). Most articles engage with contemporary religious movements through interdisciplinary lenses combining sociology, media studies, and philosophy. Rota serves as Co-PI for the NFP80 project How Worldviews Shape Social Responsibility examining COVID-19 narratives, and holds the position of Treasurer for the International Association for the History of Religions. He maintains research affiliations with the University of Bern and participates in the 'Religion and Politics' research group.

• Sports Management
• Sports Marketing
• Sport Consumer Behavior
• +۲ مورد دیگر

Hirotaka Matsuoka is a Professor at the Faculty of Sport Sciences, Waseda University . Holding a Ph.D. from The Ohio State University, he has been actively contributing to sports management research since 2003. His work appears in journals like International Journal of Sports Marketing and Sponsorship , Journal of Business Research , and Frontiers in Psychology . Education: Ph.D., Sport Management, The Ohio State University (2001) M.A., Osaka University of Health and Sport Sciences B.A., Kyoto University of Education Research Focus: Sports consumer behavior Event management Corporate social responsibility in sports Wearable technology adoption Psychological impacts of sports spectatorship His recent publications examine language effects in sports advertising, CSR strategies in sponsorship, and fan behavior patterns. Grants from the Japan Society for the Promotion of Science support his work on mega-event impacts and social effects of the Tokyo 2020 Olympics. He collaborates with institutions in Japan, Germany, and the USA, and has published in both Japanese and international journals. Scientific Awards: Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research DAAD-Waseda Partnership Programme Professor Matsuoka's advising has influenced numerous studies on sport marketing and spectator behavior. His research projects address community engagement through sports events, fan migration patterns, and digital technology integration in sports contexts.