جست‌وجوی استاد و پژوهشگر

• Genomics
• Epigenetics
• Regulatory Networks
• +۵ مورد دیگر

Pengyu Ni is a Research Fellow at Yale School of Medicine, specializing in genomics and computational biology. His research focuses on understanding cis-regulatory elements, gene annotation, and regulatory networks across species and tissues. He contributes to large-scale projects like GENCODE and explores applications of machine learning in protein phase transition prediction and functional genomics. His work bridges experimental and computational approaches to uncover fundamental mechanisms in gene regulation and neurodevelopmental disorders. Recent studies include single-cell transcriptomic analysis of human brains, comparative genomic studies of regulatory elements in humans and mice, and improving methodologies for functional genomics assays. Ni’s research also addresses challenges in motif discovery, epigenetic state modeling, and validation of regulatory sequences. His findings advance our understanding of genomic regulation in health and disease contexts such as schizophrenia and autism spectrum disorders. No formal academic awards or grants are explicitly listed in the provided information. Collaborations involve multi-cohort transcriptomic dissections and interdisciplinary teams leveraging AI-driven approaches. While specific lab affiliations aren’t detailed, his work aligns with genomic and computational biology initiatives at Yale School of Medicine.

Shahid Rasulمشاهده پروفایل

پژوهشگر

• Energy Conversion
• CO2 Electrochemical Reduction
• Supercapacitors
• +۳ مورد دیگر

Dr. Shahid Rasul is a researcher at Northumbria University, specializing in energy materials and sustainable technologies. His work focuses on developing efficient energy conversion and storage devices through photo-electrochemical processes, with a particular emphasis on CO 2 electrochemical reduction and advanced battery technologies. He holds a PhD in Engineering (2012) and is a Fellow of the Higher Education Academy (FHEA). Research Interests: Energy Conversion, CO 2 Utilization, Supercapacitors, Lithium/Sodium-Ion Batteries, Sustainable Fuels. Supervision: Currently mentoring two PhD students researching water electrolysis systems and energy storage applications. His research spans material design, electrocatalysis, and renewable energy systems, with contributions to high-performance battery electrodes, CO 2 reduction catalysts, and eco-friendly composites. Recent publications highlight advancements in tri-metallic electrocatalysts, sodium-ion cathodes, and biodegradable hydrogels.

Byongug Jeongمشاهده پروفایل

مدرس ارشد

• Marine Engineering
• Environmental Sustainability
• Safety Systems
• +۳ مورد دیگر

Dr. Byongug Jeong is a Senior Lecturer in Marine Engineering at the University of Strathclyde, focusing on technical, environmental, and safety aspects of marine systems. He has extensive industry experience as a marine surveyor at the Korean Register and as a marine engineer on LNG carriers, container ships, and bulk carriers. His research emphasizes sustainable marine fuels, lifecycle assessment, and safety systems, contributing to UN Sustainable Development Goals on environmental protection. Education includes a PhD in Marine Engineering (2018) from an unspecified institution. He leads the Europe-Korea Marine and Ocean Engineers Association (EKMOA) and collaborates globally on projects like FLEETfor55, addressing energy efficiency in waterborne transport. His work spans regulatory analysis, propulsion systems, and bunkering safety. Key research areas include ammonia and hydrogen fuels, lifecycle GHG emissions, and risk assessment for alternative fuels. He has published over 60 articles, with recent focus on ammonia bunkering safety, LNG regulations, and hybrid propulsion systems. Awards include the IMarEST Denny Medal (2022) and The Denny Medal (2018). Grants and projects include leadership in Knowledge Exchange initiatives and Horizon Europe-funded research. He supervises 7 academic works and actively participates in conferences, such as the Europe-Korea Conference on Science and Technology. Equipment includes specialized tools for marine system simulations. Labs and teams involve collaborations with institutions like Korea Maritime and Ocean University and KRISO, focusing on autonomous shipping and sustainable technologies. His work bridges academia and industry, addressing global maritime challenges in decarbonization and safety.

• Immunology
• Cancer Biology
• Regulatory T-Cell Biology
• +۴ مورد دیگر

Dr. Cheryl Brown is a Grant-Funded Researcher (B) at the University of Adelaide's School of Biomedicine, within the Faculty of Health and Medical Sciences. She holds appointments at the Women's and Children's Hospital and the Robinson Research Institute. Her primary research focuses on regulatory T-cell biology, cancer mechanisms, and translational regulation, with a particular interest in epigenetic and genomic approaches to understanding immune function and disease. Education PhD in Biomedicine, University of Adelaide (1992–1996) MSc in General and Medical Microbiology, University College London (1990–1991) Research Interests Dr. Brown's work spans immunology, cancer biology, and molecular mechanisms. Key areas include T-cell plasticity in autoimmune diseases, FOXP3 regulation in regulatory T cells, epigenetic control of gene expression, and the impact of microbiota on health. Her lab employs cutting-edge techniques such as chromatin conformation capture, single-cell profiling, and microRNA analysis to dissect these processes. Publications Her recent work highlights contributions to understanding regulatory T cell dynamics in type 1 diabetes, breast cancer progression mediated by microRNAs, and gut microbiota analysis methodologies. These studies underscore translational insights into immune disorders and cancer biology. Awards & Grants No specific awards are listed, but her grant-funded position indicates sustained research support. She is eligible to supervise Master's and PhD students, focusing on mentorship in immunology and molecular biology. Labs & Collaborations Her affiliations with the Women's and Children's Hospital and Robinson Research Institute enable multidisciplinary collaborations in clinical and basic science research. Previous postdoctoral work at the Fred Hutchinson Cancer Research Center (USA) and University of Washington further enriched her expertise in translational cancer research and apoptosis pathways.

• Machine Learning
• Computer Vision
• Multimodal Learning
• +۷ مورد دیگر

Yunhui Guo is an Assistant Professor in the Department of Computer Science at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. His research focuses on advanced machine learning techniques including multimodal learning, continual learning, audio-visual recognition, and domain adaptation. He explores challenges in model robustness, cross-modal interactions, and efficient training strategies for deep neural networks. Key research areas include: Developing robust multimodal models for video entailment and dynamic 3D human reconstruction Improving audio-visual segmentation and sound separation through novel adaptation frameworks Advancing continual learning methods to handle domain shifts and out-of-distribution data Creating submodular optimization strategies for active learning in 3D object detection His recent work emphasizes real-world applications like medical image analysis (skin cancer sub-typing), robotics (LiDAR segmentation), and secure AI systems (model watermarking). The research also addresses foundational AI topics such as model uncertainty quantification and adaptive predictive systems. Publications focus on cutting-edge areas like multimodal LLM adaptation, hierarchical out-of-distribution detection, and bimodal online adaptation techniques. Current projects explore the intersection of multimodal perception and lifelong learning systems.

• Petroleum Geochemistry
• Organic Geochemistry
• Hydrocarbon Exploration
• +۳ مورد دیگر

Nikos Pasadakis is a Professor at the School of Mineral Resources Engineering, Technical University of Crete. His office is located in the MICHOP Building (Office M1.207), and he can be contacted via email at npasadakis@tuc.gr or phone at +30 2821037669. His academic profile indicates active engagement in petroleum geochemistry and hydrocarbon research. Professor Pasadakis's research focuses on: Geochemical characterization of hydrocarbon systems Source rock evaluation and kerogen kinetics Sedimentary basin analysis Reservoir characterization Petroleum exploration methodologies His work frequently integrates analytical chemistry with geological modeling to assess hydrocarbon potential across Mediterranean and Southeast Asian basins. His recent publications (2021-2025) demonstrate a strong focus on: Advanced analytical techniques for petroleum characterization Integrated basin modeling approaches Source rock potential in diverse geological settings Innovative methods for reservoir assessment Publications frequently examine Greek sedimentary basins while incorporating comparative studies from Australia, Brunei, and Mediterranean regions.

Elsa L Gunterمشاهده پروفایل

استاد پژوهشی

• Formal Methods
• Programming Languages
• Software Engineering
• +۷ مورد دیگر

Elsa L Gunter is a Research Professor and Senior Lecturer at the University of Illinois at Urbana-Champaign's Department of Computer Science. Her academic background includes a Ph.D. in Mathematics from the University of Wisconsin, Madison. She leads research in formal methods, programming languages, and human-computer systems. Research Interests: Her work spans formal verification, programming language semantics, automated theorem proving, and security. She develops tools for compiler optimization verification, human-automation system safety, and concurrent program analysis. Key projects include the VeriF-OPT framework for parallel program transformations and Tutela for human-computer system protection analysis. Publications Focus: Her recent research emphasizes compiler verification, concurrency models, and human-system interaction. Work includes symbolic analysis for CSP, dependently-typed session systems, and robustness verification for safety-critical interfaces. Awards: Most Influential 10 Year Paper award at Requirements Engineering (RE 2010) EASST Best Software Science Paper at ETAPS 2001 Best Paper award at Fourth International Conference on Requirements Engineering (2000) Funding and Labs: Secured NSF grants for projects on parallel program verification ($450K) and human task analysis ($500K). Leads the Formal Methods and Verification Lab, collaborating with NASA on NextGen aviation systems. Student Advising: Mentored 7 PhD graduates and 12+ Master's students. Current PhD candidates work on secure distributed programming (Dennis Griffith) and formal methods for concurrent systems (Liyi Li, Susannah Johnson).

Fabrice Parmentierمشاهده پروفایل

استاد

• Cognitive Psychology
• Attention
• Memory
• +۹ مورد دیگر

Dr. Fabrice Parmentier is a Full Professor in the Department of Psychology at the University of the Balearic Islands (UIB), Spain. He is based in the Basic Psychology area and is an active member of the Neuropsychology and Cognition (Neurocog) research group and the Bilingualism and Spanish Language Acquisition (BASLA) group. His work is affiliated with the University's Research Institute for Health Sciences (iUNICS) and the Instituto de Investigación Sanitaria de Palma (IdISPa). His research focuses on the cognitive mechanisms underlying attention, memory, and executive functions. He investigates how these processes are affected by unexpected auditory stimuli, emotional states, physical activity, mindfulness, and neurological conditions. His methodological approach integrates controlled laboratory experiments with neuropsychological assessments across the lifespan. The recent publications highlight a strong trend in auditory distraction, particularly how unexpected sounds disrupt eye movements, inhibit motor responses, and influence cognitive control. These studies fall within experimental cognitive psychology and cognitive neuroscience, with implications for understanding attentional disorders, human factors, and real-world performance in complex environments. Herramientas para el diagnóstico temprano de la demencia y cómo afectan los estilos de vida y el bilingüismo en los primeros síntomas (IdISPa, 2015–2018) La actividad física como factor protector del envejecimiento cognitivo (Spanish Ministry of Science and Innovation, 2011–2014) Toward a more integrative understanding of distraction by unexpected sounds (Spanish Ministry of Economy and Competitiveness, 2015–2018) A study of the relationship between mindfulness, distraction and brain stimulation (Bial Foundation, 2015–2017) An empirical study of behavioral distraction by auditory novelty (Spanish Ministry of Science and Innovation, 2010–2013) Warning! Investigating what auditory alarms affect attention and performance in complex settings (Swedish Council for Working Life and Social Research, 2012–2016) Dr. Parmentier supervises master's theses and research training in the Master's Degree in Human Cognition and Evolution and the Master's Degree in Cognition and Society. He teaches undergraduate courses such as Perception and Attention and mentors undergraduate involvement in research. He is actively involved in securing external funding and fostering interdisciplinary collaboration. He is a core member of the Neurocog research group, which emphasizes experimental approaches to cognition and welcomes PhD candidates and postdoctoral researchers. The lab promotes a collaborative and enthusiastic environment for cognitive research and encourages student participation in ongoing projects.

• Human-Machine Interaction
• Human-Robot Interaction
• Multimodal Interaction
• +۷ مورد دیگر

Nabil Ouerhani is a Professor in Computer Science at Haute Ecole Arc // HES-SO, leading the 'Interaction Technologies' research group focused on Human-Machine Interaction (HMI), Human-Robot Interaction (HRI), and Industry 4.0 applications. His work integrates IoT, cyber-physical systems, and multi-agent systems to develop innovative industrial solutions. Education: BSc HES-SO in Computer Science - Haute Ecole Arc - Ingénierie Key Research Areas: Collaborative robotics and AI-driven automation Thermal error prediction in machine tools IoT-enabled energy efficiency solutions Virtual/Augmented Reality for industrial safety Recent Projects: BonsAPPs (EU H2020): AI-as-a-Service platform for Deep Edge applications Decolleteur 4.0 (Innosuisse): AI-based Swiss-Type lathe programming system TherMoMac : Hybrid thermal error prediction for machine tools Grants & Funding: BonsAPPs: CHF 5,750,000 (EU H2020) Decolleteur 4.0: CHF 1,217,809 (Innosuisse) ECOMAC25: CHF 439,062 (Innosuisse) Research Collaborations: Industry partners: Tornos SA, NVISO SA, ST Microelectronics Academic partners: University of Bologna, ETH Zurich, SUPSI

Mounir Driss Mensiمشاهده پروفایل

مدرس

• Materials Science
• Catalysis
• Energy Storage
• +۶ مورد دیگر

Mounir Driss Mensi is a Lecturer at EPFL's School of Basic Sciences (SB), affiliated with the Interdisciplinary Center for Electron Microscopy (ISIC) and its X-Ray Diffraction and Surface Analysis Platform (ISIC-XRDSAP). He holds a Scientific Collaborator role within the same unit and maintains academic ties with institutions like the American University of Beirut. His work bridges advanced materials characterization with energy and environmental applications. Research Interests Dr. Mensi specializes in catalysis for CO₂ conversion, energy storage systems (lithium batteries and perovskite solar cells), and nanomaterials engineering. He focuses on: Surface chemistry of catalysts (e.g., Ru nanoparticles for CO₂ methanation) Scalable graphene membrane fabrication for carbon capture Perovskite solar cell optimization via defect passivation Lithium metal anode stability through novel deposition methods Key Contributions Recent breakthroughs include: Enhanced CO₂-to-olefins selectivity via Ga-In oxide catalysts 60cm² tandem solar cells achieving 28.9% efficiency Room-temperature graphene pore engineering for industrial carbon capture Affiliations & Roles Current roles: - EPFL Scientific Collaborator (ISIC-XRDSAP) - Lecturer in Advanced Solid State Characterization (EDCH-ENS) - Co-PI on projects related to surface analysis and renewable energy

• Legal History
• Polish-Lithuanian Commonwealth Studies
• Judicial Systems of Eastern Europe
• +۳ مورد دیگر

Oskar Kanecki is a researcher at the Faculty of Law and Administration (IPiA) of the Pomeranian University in Słupsk, specializing in the legal and judicial history of the Polish-Lithuanian Commonwealth, particularly focusing on the Grand Duchy of Lithuania. His work examines early modern legal systems, statutory frameworks, and governance structures. He holds a PhD and has been recognized with prestigious awards including the Juliusz Bardach Prize for his doctoral thesis on Grand Duchy of Lithuania history. His research interests include the evolution of judicial institutions, the implementation of legal statutes, and the interplay between nobility, governance, and legal practices. He has extensively studied the Third Statute of Lithuania, the role of regional councils, and the impact of political events like the 1655 war with Russia on judicial systems. Dr. Kanecki has presented at international conferences in Poland, Georgia, Russia, and Lithuania, and conducted research stays at institutions such as the Russian State Library in Saint Petersburg and Ivane Javakhishvili State University in Tbilisi. He participates in projects like the 'Golden Pages of Russian Notariat' and contributes to academic journals like Review of Institute of the Grand Duchy of Lithuania and Journal of Polish-Georgian Law . Key awards include the Rector's Award (3rd degree) in 2019 and 2022, and the Bardach Prize (2020). His work bridges legal history with contemporary understandings of statehood and institutional continuity in Eastern Europe.

Declan O'Reganمشاهده پروفایل

استاد

• Artificial Intelligence in Healthcare
• Cardiovascular Disease Mechanisms
• Medical Imaging
• +۴ مورد دیگر

Declan O'Regan is the British Heart Foundation Chair of Cardiovascular AI and Professor of Imaging Sciences at Imperial College London's Faculty of Medicine. He leads the Computational Cardiac Imaging Group at the MRC Laboratory of Medical Sciences and serves as Director of Imaging Research at Imperial College Healthcare NHS Trust. His research integrates machine learning with cardiovascular imaging, genetics, and environmental data to uncover disease mechanisms and improve predictive medicine. Key affiliations include the BHF Centre of Research Excellence, EPSRC Centre for Maths of Precision Healthcare, and multiple imaging networks. Education: BSc (University of London), MBBS (University of London), PhD (Imperial College London), and postgraduate training in Radiology (FRCR) and Medicine (FRCP). Professional roles extend to editorial boards of journals like the European Heart Journal–Cardiovascular Imaging and leadership in societies such as the British Society of Cardiac MRI. Research focuses on AI-driven diagnostics, cardiovascular aging, and genetic risk factors. Notable work includes developing algorithms for predicting survival from cardiac motion and collaborating with industry on drug discovery. Funders include the MRC, BHF, NIH, and pharmaceutical/biotech companies. Lab activities emphasize translational research, patient collaboration, and open science. His group’s innovations span cardiac motion capture, genotype-phenotype modeling, and AI-enhanced ECG analysis for early disease detection. Current initiatives explore the impacts of environmental factors (e.g., aircraft noise) on cardiovascular health and post-COVID-19 cardiac sequelae.

Helge K. Dahleمشاهده پروفایل

استاد

• Mathematical Modeling
• Numerical Methods
• Flow in Porous Media
• +۵ مورد دیگر

Helge K. Dahle is a Professor in the Department of Mathematics at the University of Bergen, Norway. His academic career spans over three decades, with a consistent research focus on mathematical and numerical modeling of flow and transport phenomena. He maintains an active research profile with publications extending to 2024, demonstrating his ongoing contribution to the field. Professor Dahle's research primarily centers on mathematical modeling of flow and transport in porous media, with particular expertise in up-scaling techniques from pore-scale to continuum and field scales. His work has evolved to include significant contributions to CO2 storage modeling, where he develops efficient numerical methods to predict CO2 plume distribution and migration under various storage scenarios. His research interests encompass Lagrangian-type methods for advection-dominated transport, pore-scale modeling, and creating physically simple yet accurate models that capture essential processes in multiphase flow systems. Analysis of his recent publications reveals a strong and sustained focus on CO2 geological storage, with particular attention to vertical equilibrium modeling, upscaling techniques, and the impact of geological heterogeneity on storage performance. His work demonstrates a progression from fundamental mathematical methods to practical applications in environmental science and energy technology, with increasing emphasis on the challenges of carbon capture and storage as a climate change mitigation strategy. Professor Dahle maintains an extensive collaborative network, frequently publishing with researchers from the University of Bergen's physics and petroleum engineering departments, as well as with international institutions including Princeton University. His work bridges pure mathematics with practical environmental applications, particularly in the critical area of carbon sequestration technology.

Herwig Baierمشاهده پروفایل

استاد

• Neuroscience
• Neurobiology
• Zebrafish research
• +۷ مورد دیگر

Prof. Dr. Herwig Baier is the Director of the Genes – Circuits – Behavior department at the Max Planck Institute for Biological Intelligence. He is a regular member of the Munich Cluster for Systems Neurobiology (MCN) and the Graduate School in Systemic Neuroscience (GSN). His research focuses on understanding how neuronal circuits integrate sensory inputs and internal states to generate behavior, using zebrafish and cichlids as model organisms. Education : Biology studies at University of Konstanz, PhD (1995) at Max Planck Institute for Developmental Biology, postdoc at University of California, San Diego (1995-1998). Academic Roles : Professor at University of California, San Francisco (1998-2012), then Director at Max Planck Institute (since 2011). His research interests span neuroscience, connectomics, optogenetics, molecular genetics, and behavioral biology , with a focus on mapping brain connectivity, developing technologies for circuit interrogation, and linking genes to neural circuits to behavior. His recent publications highlight work in transcriptomic neuron classification, physiological history recording via chemical labeling, retinal evolution, and visuomotor transformations. Students include Johannes Kappel and graduated researchers like Thomas Helmbrecht and Ksenia Yashina. He employs advanced imaging, molecular, and computational approaches to study sensory perception and motor behavior in aquatic models. Contact: Email: herwig.baier@bi.mpg.de Department: Genes – Circuits – Behavior

Lisa Fenkمشاهده پروفایل

پژوهشگر

• Behavioral Neuroscience
• Cognitive Neuroscience
• Cellular Neuroscience
• +۴ مورد دیگر

Lisa Fenk is a Lise Meitner Research Group Leader at the Max Planck Institute for Biological Intelligence in Martinsried, Germany. Her work bridges Behavioral & Cognitive Neuroscience and Cellular & Systems Neuroscience , using Drosophila and zebrafish to study sensory processing. Education: PhD in Neurobiology (2007–2011), University of Vienna; Diploma in Biology (2005–2007), Physics & French (1999–2005). Prior Positions: Postdoc at Rockefeller University (2015–2021), IMP Vienna (2012–2015). Her research explores how brains differentiate self-generated sensory input from external stimuli, focusing on retinal movements and efference copy mechanisms. She employs electrophysiology , calcium imaging , and behavioral genetics to decode neural circuits. Key trends in her 15 most recent articles (2007–2025) include: Visual processing in Drosophila and spiders Role of retinal muscles in sensory augmentation Asymmetric neural coding for object-background distinction Transcriptomic and optogenetic analysis of neural circuits Evolutionary neuroethology across species