جست‌وجوی استاد و پژوهشگر

Niccolò Terrandoمشاهده پروفایل

استاد

• Neuroinflammation
• Postoperative cognitive dysfunction
• Delirium
• +۹ مورد دیگر

Niccolò Terrando is a Professor of Anesthesiology at Duke University School of Medicine with secondary appointments in Cell Biology and Integrative Immunobiology. He serves as a Faculty Network Member of the Duke Institute for Brain Sciences, where his research bridges neuroimmunology, perioperative medicine, and cognitive neuroscience. Dr. Terrando's research focuses on neuroinflammation mechanisms underlying postoperative cognitive dysfunction and delirium, particularly exploring blood-brain barrier integrity, neurovascular unit function, and specialized pro-resolving mediators. His work investigates how surgical trauma triggers inflammatory cascades that can lead to cognitive decline, especially in vulnerable populations like the elderly and those with pre-existing neurodegenerative conditions. He has pioneered research on vagus nerve stimulation, omega-3 fatty acids, and other interventions to mitigate surgery-induced neuroinflammation. His extensive publication record shows a clear progression from basic mechanisms of neuroinflammation to translational applications. Recent work emphasizes cellular senescence, blood-brain barrier modeling, and the intersection of postoperative cognitive decline with Alzheimer's disease pathology. His research increasingly incorporates advanced techniques like blood-brain barrier-on-chip models and quantum dot biomimetics for neurovirology studies. His scientific recognition includes: New Investigator Award from the International Society to Advance Alzheimer's Research and Treatment (2019) Active Member (by election) of the Association of University Anesthesiologists (2018) Junior Faculty Award from the Association of University Anesthesiologists (2014) New Investigator Award from the International Society for the Study of Fatty Acids and Lipids (2014) Dr. Terrando currently leads multiple NIH-funded projects totaling over $20 million, including studies on hypertension and aging impacts on postoperative delirium (2025-2030), IL-6 trans-signaling in cognitive decline (2024-2029), and cerebrospinal fluid complement activation in delirium (2024-2029). His laboratory employs sophisticated mouse models of surgery-induced cognitive dysfunction and collaborates extensively with Duke's neuroscience and geriatrics programs. His research team utilizes advanced methodologies including blood-brain barrier modeling, neurovascular unit analysis, and biomarker discovery in human subjects undergoing surgery. Current projects investigate pericyte function in delirium superimposed on dementia, bioelectronic regulation of CNS lymphatic drainage, and immunoprofiling of postoperative delirium during aging and neurodegeneration.

• Physics Education
• Quantum Mechanics Education
• Science Teacher Training
• +۴ مورد دیگر

Dr. ir. K. (Kim) Krijtenburg-Lewerissa is an Assistant Professor of Physics Education at the Freudenthal Institute, Faculty of Science, Utrecht University. Her work focuses on how students understand scientific concepts, particularly in modern physics, using models and mathematics to explain natural phenomena. Her primary research interests include: Physics didactics, especially quantum mechanics education at secondary school level Special relativity education using simulation-based learning environments Teacher education for second-career science teachers Curriculum development and educational research in physics Dr. Krijtenburg-Lewerissa's recent publications reveal a strong focus on quantum education research and special relativity education. Her work consistently examines how students develop conceptual understanding through simulations and inquiry-based learning, with particular attention to the role of prior knowledge and model thinking in physics learning. She has been instrumental in coordinating several significant educational initiatives: QTEdu-QCI project (Delphi study on quantum education research) béta4all (national program supporting lateral entry into science teaching) Junior Physics Olympiad (as co-organizer) National science curriculum renewal committee As an educator, she teaches in the Graduate School of Teaching and the Master's program Science Education and Communication, focusing on physics didactics, nature of science, model thinking, and critical thinking skills. She also writes a column on physics education for NTvN and serves as a subject expert for SLO in the Subject Innovation Committee for Science Subjects.

• Computer Software
• Computation Theory and Mathematics
• Cognitive Sciences
• +۳ مورد دیگر

Dr. Herbert Wiklicky is an Associate Professor in the Department of Computing at Imperial College London's Faculty of Engineering. His research spans multiple interdisciplinary domains including computer software, computational mathematics, cognitive sciences, and artificial intelligence. Primary affiliation: Department of Computing, Faculty of Engineering Secondary affiliations: Secure Software Systems, Quantum Engineering, Science and Technology His work focuses on theoretical and applied aspects of computation, with emphasis on software systems, mathematical modeling, and AI technologies.

Lisa Lopezمشاهده پروفایل

استاد

• Educational Psychology
• Early Childhood Education
• Bilingualism
• +۳ مورد دیگر

Dr. Lisa Lopez is a Professor of Educational Psychology at the University of South Florida , College of Education. Her research focuses on the educational and environmental opportunities for Latino Dual Language Learner (DLL) children in the U.S., with three active research strands: (1) developmental trajectories of school readiness, (2) ecological perspectives (home/classroom factors), and (3) curriculum/assessment development for DLL children. She collaborates with local Head Start programs and mentors doctoral students in her Bilingual School Readiness Lab . Ph.D., Applied Developmental Psychology, University of Miami NSF-funded Postdoctoral Fellowship, Harvard Graduate School of Education Her research applies ecological frameworks to examine sociocultural influences on DLL children's academic and social-emotional development, with a focus on applied solutions for educators and at-risk populations. Recent work explores longitudinal bilingual development, language dominance, and science achievement trends. Dr. Lopez has received grants including the Researcher Starter Grant (2005) and Minority Postdoctoral Research Fellowship (2001). She actively serves on doctoral dissertation committees and trains educators on working with DLLs.

Massimo Piattelli-Palmariniمشاهده پروفایل

استاد

• Linguistic theory
• Lexical semantics
• Theory of concepts
• +۷ مورد دیگر

Massimo Piattelli-Palmarini is a Professor at the University of Arizona with joint appointments in Linguistics, Cognitive Science, and Psychology. His career spans interdisciplinary research bridging language theory, cognition, and decision-making. Linguistics Cognitive Science Psychology His research focuses on the biological foundations of language, cognitive biases in decision-making, theoretical linguistics, and quantum field theory's implications for syntax. He co-organized seminars with prominent collaborators like Noam Chomsky and Thomas Bever, emphasizing biolinguistics and language evolution. Recent publications address challenges in neural network modeling, FOXP2 genetics, and interdisciplinary connections between physics and linguistic minimalism. His work critiques Darwinian evolutionary frameworks and explores the cognitive constraints on language acquisition. Taught courses include Judgment and Decision Making (PSY 333), Biolinguistics (LING/PHIL 211), and seminars on cognition, language, and neuroscience. He has been on sabbaticals at MIT, Harvard, and the University of Maryland.

• Biomedical Engineering
• Bioelectronics
• Artificial Intelligence
• +۳ مورد دیگر

Rüştü Murat Demirer serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at Işık University's Faculty of Engineering and Natural Sciences. His academic career spans decades with active teaching responsibilities including Biomedical Engineering courses such as Clinical Care Informatics, Biosignal Processing, and Medical Imaging since at least 2012 across multiple institutions including Işık University and Bahçeşehir University. His educational foundation includes: PhD in Biomedical Engineering from Boğaziçi University (1983-2002) MS in Energy from Istanbul Technical University (1980-1982) BS in Electronics and Communications Engineering from Kocaeli University (1976-1980) Dr. Demirer's research integrates Biomedical Engineering with cutting-edge computational neuroscience, focusing on Bioelectronics, Artificial Intelligence applications, and Neuroscience. He pioneers methodologies for analyzing brain dynamics through EEG/ECoG signal processing, entropy-based biomarker development, and machine learning algorithms for neurological and psychiatric conditions. His work bridges theoretical neuroscience with clinical applications in epilepsy, bipolar disorder, and brain-computer interfaces. Analysis of his publication trends reveals strong interdisciplinary convergence between neuroscience, biomedical engineering, and artificial intelligence. Key methodological themes include Hilbert transform applications, nonlinear dynamics in brain signals, entropy quantification for psychiatric diagnostics, and hybrid machine learning approaches for medical signal classification. This research trajectory demonstrates consistent innovation in translating complex brain signal analysis into clinically relevant diagnostic tools. Dr. Demirer has actively mentored 11 graduate students (10 Master's and 1 PhD) between 2013-2025. His advisees' research spans diverse applications including: Machine learning for cybersecurity threat detection Cryptocurrency market analysis using predictive modeling EEG/eye-tracking fusion for cognitive decision studies Medical diagnostics through convolutional neural networks Natural language processing for offensive language detection He maintains professional engagement as a member of the Chamber of Electrical Engineers (Elektrik Mühendisleri Odası) while teaching specialized courses across biomedical engineering, cybersecurity, and data science domains.

Girijesh Prasadمشاهده پروفایل

استاد

• Intelligent Systems
• Brain-Computer Interfaces (BCI)
• Neuro-rehabilitation
• +۳ مورد دیگر

Prof. Girijesh Prasad is a leading academic in Intelligent Systems at Ulster University , UK, where he directs the Northern Ireland Functional Brain Mapping (NIFBM) facility at the Intelligent Systems Research Centre (ISRC). He leads the Cognitive Neuroscience and Neurotechnology research team and has supervised 22 PhD students. B.Tech in Electrical Engineering (1987), M.Tech in Computer Science (1992), PhD in Electrical Engineering (1997) Chartered Engineer, Fellow of IET & Higher Education Academy, Senior IEEE Member His research spans brain-computer interfaces , neuro-rehabilitation , machine learning , and computational modeling , with recent work focusing on quantum classifiers for EEG data, MEG-based MCI detection, and semiconductor production optimization. His 2025 publications highlight advances in quantum-enhanced ML and neuroimaging analysis . 2017 Senior Distinguished Research Fellow at Ulster University 2015 IEEE Best Poster Award recipient 2011 IJCNN Best Paper Award winner Prof. Prasad has secured over £10M in grants from agencies like UKRI, Royal Society, and Invest Northern Ireland, with active projects in smart manufacturing , stroke rehabilitation , and blockchain-based e-healthcare (2024-2026). His lab develops cutting-edge systems integrating robotic exoskeletons and neurofeedback protocols for clinical applications.

• Magnetic Resonance Imaging
• Medical Physics
• Neuroscience
• +۳ مورد دیگر

Edward G Walsh is an Associate Professor of Brain Science (Research) at Brown University, affiliated with the Carney Institute for Brain Science. His work focuses on advanced MRI techniques and interdisciplinary applications in neuroscience, biomedical engineering, and quantum computing. Role: PI on Brown subcontract for Non-invasive Assessment of Ligament Healing , Co-I in traumatic brain injury neurorestoration Collaborations: Applied mathematicians, physics department on quantum computing, orthopedics and diagnostic imaging colleagues Research Overview : Developing SS-PARSE MRI techniques for real-time parametric imaging (blood flow, BOLD contrast, temperature) Nanoparticle contrast agents for MRI and thermal therapy acceleration Investigating quantum computing possibilities in the brain via NMR spectroscopy Biomechanical studies on ligament healing and stent compatibility Scientific Trends : Recent publications emphasize neurochemical processing , ACL healing biomarkers , quantum information carriers , and thermal ablation imaging . Honors : 2014 DEANS Award for neonatal brain ischemia research Industry grants from Johnson&Johnson for MRI device compatibility Teaching : Instructs in Brown University's graduate Medical Physics program, covering imaging physics and clinical practicum.

• Architectural Design
• Informatics in Architecture
• Computational Chemistry
• +۳ مورد دیگر

Assistant Professor Can Uzun is affiliated with both Istanbul Technical University and Altınbaş University , where he works in the Department of Architecture under the College of Architecture. His academic career spans teaching, research, and administrative roles, including serving as Department Head at Altınbaş University from 2022–2025. Education PhD in Informatics in Architectural Design, Istanbul Technical University (2015) MA in Architectural Design (2012) Licence in Architecture, Istanbul Technical University (2008) Can Uzun’s research bridges architectural design and informatics/IT applications in architecture . He explores how digital tools, virtual environments, and technologies like BIM, IoT, and AI influence design behavior, collaboration, and urban planning. His projects include studies on cognition in virtual design environments, digital twins, and the impact of memory on architectural design. His scientific work spans computational chemistry, focusing on reaction mechanisms, catalysis, and molecular modeling. Key topics include asymmetric synthesis, DFT calculations, CuAAC reactions, and enzyme hydroxylation mechanisms. He has contributed to understanding solvent effects, co-catalysts, and structural properties of coordination polymers. Scientific Awards 2nd Prize, Beylikdüzü Municipality (2015) 3rd Honorable Mention, Izmir Development Agency (2013) Category 4 Incentive Award, Architectural Education Association (MimED) (2012) Uzun has supervised numerous graduate theses at Altınbaş University, covering topics like fractal dimension in hospitals, digital twin prototyping, text-to-image tools in architecture, and urban planning strategies for earthquake risk regions. His students’ work reflects interdisciplinary intersections of architecture, informatics, and computational methods.

Venkata Sriram Siddhardh Nadendlaمشاهده پروفایل

استادیار

• Cyber-physical-human systems
• Human-system interaction
• Statistical inference
• +۵ مورد دیگر

Dr. Venkata Sriram Siddhardh Nadendla serves as an Assistant Professor in the Department of Computer Science within the College of Engineering at Missouri University of Science and Technology. His research bridges theoretical foundations in information theory with practical applications in cyber-physical-human systems across critical infrastructure domains. His educational background includes: PhD in Electrical Engineering and Computer Science from Syracuse University MS from Louisiana State University BE from SCSVMV University, India Dr. Nadendla's research spans cyber-physical-human systems with particular emphasis on human-system interaction , statistical inference , and multi-agent decision making . His work integrates machine learning, game theory, and behavioral decision theory to address challenges in transportation systems, mining safety, and cybersecurity. Recent publications show growing focus on fairness in AI systems and neuromorphic computing applications. Analysis of his 15 most recent publications reveals concentration in transportation systems (20%), cybersecurity (25%), human-AI interaction (30%), and healthcare applications (10%), with remaining work spanning mining safety and theoretical decision frameworks. His research demonstrates consistent progression from theoretical foundations toward practical implementations in critical infrastructure. Dr. Nadendla is actively affiliated with the Center for Intelligent Infrastructure at Missouri S&T, where he contributes to developing smart infrastructure solutions. His work uniquely combines quantum cognition models with traditional game theory approaches to model human decision-making in complex systems.

• Deep Learning
• Internet of Things (IoT) Security
• Software Defined Networking (SDN)
• +۴ مورد دیگر

Adnan Akhunzada is a prolific researcher with extensive contributions to computer science, particularly in artificial intelligence, cybersecurity, and internet of things. His work spans deep learning architectures, software defined networks, and security frameworks for emerging technologies. Research Interests include: Deep learning for micro-expression and image analysis Quantum control systems with reinforcement learning AI-based phishing and malware detection Federated learning for drone services Cryptographic protocols for UAV communications Publication Trends show expertise in: Hybrid neural network architectures Cybersecurity for industrial IoT Privacy-preserving crowdsourcing Sign language recognition datasets 5G-assisted cognitive communication

• Machine Learning
• Artificial Intelligence
• Data Analytics
• +۹ مورد دیگر

Dr. Mukesh Prasad is an Associate Professor at the School of Computer Science , University of Technology Sydney (UTS). With expertise in Machine Learning , Artificial Intelligence , and Computer Vision , his research addresses applications in healthcare, biomedical science, and smart infrastructure. He holds a Ph.D. in Computer Science from National Chiao Tung University, Taiwan, and an M.S. in Computer and Systems Sciences from Jawaharlal Nehru University, India. Key research areas: Machine Learning, AI, Brain-Computer Interfaces, IoT, and Evolutionary Computation Industry experience: Principal Engineer at TSMC (2016-2017), Postdoctoral Researcher at National Chiao Tung University Dr. Prasad has secured competitive grants for AI applications in disaster response, conversational agents, and medical diagnostics. His work has been published in high-impact venues like IEEE , ACM Transactions , and Springer Nature , with over 200 peer-reviewed papers. He serves on editorial boards for journals including Frontiers in Neurorobotics and ACM Computing Surveys . Scientific Awards: Vice Chancellor Teaching and Learning Citation Award (2019) Alumni Fellowship for Ph.D. (2014) Golden Bamboo NCTU Fellowship (2010) Professional Members: IEEE (2011), ACM (2019)

• Physics
• Chemistry
• Machine Learning
• +۵ مورد دیگر

Giuseppe De Luca is a Research Fellow at the Department of Physics and Chemistry - Emilio Segrè, University of Palermo. His work spans interdisciplinary domains including theoretical physics, biophysics, machine learning, and social dynamics. Research Themes : Model averaging techniques, liquid-liquid phase separation, quantum complexity, holography, and social exclusion effects in education. Methodologies : Bayesian inference, multiscale analysis, and machine learning optimization. Recent publications focus on weighted-average least squares estimation, structural degradation in biomaterials, and virtual reality applications in psychological research. He contributes to the SHARE project with statistical expertise in survey weighting and imputation strategies.

Jim Nelsonمشاهده پروفایل

دانشیار

• Conceptual Modeling
• Cognitive Science
• Artificial Intelligence
• +۵ مورد دیگر

Jim Nelson is an Associate Professor and Analytics Program Coordinator at the College of Business, Southern Illinois University Carbondale (SIU), where he also directs The Pontikes Center for Advanced Analytics and Artificial Intelligence. Joining SIU in 2005 after over a decade in industry and fifteen years of academic experience, he holds a Ph.D. in Information Systems from the University of Colorado, Boulder. Nelson's educational background includes: Bachelor of Science in Computer Science from California Polytechnic State University Master's Degree in Information Systems from University of Colorado, Boulder Ph.D. in Information Systems from University of Colorado, Boulder His research specializes in conceptual modeling and cognitive science, focusing on behavioral aspects of modeling through real-world field studies. He pioneered "hunch mining" for cognitive analytics and explores object-oriented/fuzzy data models, text mining, and telecommunications. His work bridges cognitive theory with practical software engineering challenges. Nelson's publications (2005-2012) reveal a consistent focus on conceptual modeling quality, agile development documentation, and IT workforce dynamics. His studies examine human-model interactions across domains including credit unions and telecommunications policy, demonstrating how cognitive principles enhance modeling effectiveness and organizational IT strategy. Nelson's academic honors include: Dean's Summer Research Fellowship for 'Preconscious Quantum Shift Learning' (2004) Nomination for SIU College of Business Undergraduate Teacher of the Year (2005-2006) Fisher College of Business Undergraduate Teaching Award (2003) Finalist for Columbus Technology Council's TopCAT Award (2003) Nomination for Fisher College of Business Pace Setters Award (2003) His research funding comprises: Boeing Commercial Aircraft: $525,000 (2001) for "Studies of IT Effectiveness and E-Business Performance" Pontikes Center: $2,300 (2007) for "Objective Quantification of IT Job Definitions Through Latent Semantic Categorization" University of Utah: $6,000 (2000) for "The Business Value of Information Technology" As Pontikes Center Director, Nelson coordinates analytics curriculum across all business programs and liaises with the Center's Board of Advisors—comprising Midwest corporate analytics executives—to drive industry-academic collaboration in AI and advanced analytics education.

Boyan Jekovمشاهده پروفایل

استادیار

• Cybersecurity
• Artificial Intelligence
• Internet of Things
• +۴ مورد دیگر

Boyan Jekov is an Assistant Professor at the University of Library Studies and Information Technologies in Sofia, Bulgaria, where he is affiliated with the Faculty of Information Science. He is a member of Elena Shoikova's Lab and has established himself as a researcher with expertise in cybersecurity, artificial intelligence, Internet of Things, and quantum computing applications. His research interests span several critical technology domains: Cybersecurity and Security Operations Centers Artificial Intelligence applications for threat detection and response Internet of Things security frameworks Quantum communication and computing applications Data science and big data analytics Technology applications in education Professor Jekov's research output demonstrates a focus on cutting-edge security challenges, with recent publications through 2025 on autonomous AI architectures for Security Operations Centers and quantum computing applications for environmental issues. His work bridges theoretical computer science with practical applications across multiple domains including security infrastructure, healthcare, and educational technology. His publications show a consistent trajectory toward increasingly complex and interdisciplinary research problems. His scholarly contributions include 35 publications with 9,239 reads and 82 citations, reflecting steady research productivity over approximately a decade of academic work. His recent publications show increasing engagement with emerging technologies and interdisciplinary applications, particularly at the intersection of AI, cybersecurity, and quantum computing. Professor Jekov's research methodology appears to emphasize practical applications of advanced computing techniques to solve real-world problems, particularly in security domains and educational technology. His work often involves collaborative research with colleagues across different departments and institutions, demonstrating a team-oriented approach to complex technological challenges.