جست‌وجوی استاد و پژوهشگر

Daily RODRIGUEZ PADRONمشاهده پروفایل

پژوهشگر ارشد

• Catalysis
• Nanomaterials
• Green Chemistry
• +۳ مورد دیگر

Daily Rodríguez-Padrón is a Research Fellow at Ca' Foscari University of Venice, affiliated with the Department of Molecular Sciences and Nanosystems and the Research Institute for Green and Blue Growth. She holds a BSc from the University of Havana (2013) and a PhD from the University of Córdoba, Spain (2020). Her research focuses on sustainable catalytic processes, nanomaterials, and biomass valorization. Key areas include the development of bio-based catalysts, green chemistry methodologies, and applications of chitin and other natural resources in catalysis. She has contributed to over 70 peer-reviewed articles, emphasizing eco-friendly synthesis and energy-related materials. Her work spans collaborations with institutions like KelAda Pharmachem Ltd (Ireland) and participation in EU-funded projects such as GreenX4Drug (Marie Skłodowska-Curie RISE). Rodríguez-Padrón’s research integrates mechanochemistry, continuous-flow systems, and waste-derived materials to advance sustainable industrial processes.

Bhama Ramkhelawonمشاهده پروفایل

دانشیار

• Vascular Biology
• Cardiovascular Disease
• Inflammation
• +۷ مورد دیگر

Bhama Ramkhelawon, PhD, is the Florence and Joseph Ritorto Associate Professor of Surgical Research in the Department of Surgery and Associate Professor in the Department of Cell Biology at NYU Grossman School of Medicine. She is also the Director of Vascular Surgery Scientific Research, leading a dynamic research program focused on vascular biology and disease mechanisms. Her research centers on understanding the molecular and cellular mechanisms underlying vascular aneurysms, peripheral vascular disease, and the interplay between metabolism, inflammation, and aging in the cardiovascular system. Utilizing advanced techniques such as single-cell transcriptomics, mouse models, and clinical data analysis, her lab investigates how immune cells, platelets, and metabolic pathways contribute to vascular pathologies. Recent publications highlight a strong trend in vascular mechanobiology, aging-related transcriptomic changes, adenosine signaling, and inflammatory responses in vascular tissues. Her work bridges basic science with clinical applications, particularly in post-surgical complications like endoleaks and aneurysm repair outcomes. Bhama Ramkhelawon has made significant contributions to the field with over 80 publications in high-impact journals such as Circulation Research , JCI Insight , and Cell Systems . Her research is supported by active clinical trials focusing on vascular aneurysms and peripheral vascular disease, indicating ongoing funding and translational research efforts. She mentors students and researchers as part of her role as a principal investigator and director. Her lab is involved in multi-disciplinary collaborations, integrating cell biology, immunology, and vascular surgery to advance understanding of cardiovascular diseases.

• Artificial Intelligence
• Biomedical Informatics
• Machine Learning
• +۵ مورد دیگر

Mehmet Eren Ahsen is an Assistant Professor at the University of Illinois at Urbana-Champaign, holding dual appointments in Business Administration and Biomedical and Translational Sciences . He is also the Deloitte Scholar in Accountancy and an affiliate at the Carl R. Woese Institute for Genomic Biology. His research bridges artificial intelligence, healthcare analytics, and biomedical informatics, focusing on applications in medical decision-making, disease diagnosis, and drug development. Key research interests include: AI-driven healthcare workflows, particularly in mammography screening and radiology Machine learning for biomarker discovery and genomic analysis Economics of AI adoption in clinical settings Unsupervised ensemble learning for biomedical problems His work has been recognized by the CHITA Young Researcher Award (2024) . Notable collaborations involve interdisciplinary teams addressing challenges in cancer genomics, supply chain resilience, and pandemic response. Recent studies highlight: Economic impact of AI-human task sharing in mammography Optimizing screening mammography recall strategies Analysis of social media's role in pandemic information dissemination Development of ensemble models for disease prediction Dr. Ahsen's research also explores: Extracellular vesicle RNA signatures for early cancer detection Correlated drug action models for combination therapies Algorithmic fairness in healthcare AI systems His lab integrates computational methods with clinical and genomic data to advance precision medicine and healthcare efficiency.

Stefan Hoderleinمشاهده پروفایل

استاد

• Econometrics
• Big Data
• Panel Data Analysis
• +۳ مورد دیگر

Stefan Hoderlein is a Professor in the Department of Economics at Emory University. His expertise lies in econometrics, with a focus on nonparametric methods, panel data analysis, and structural models. He holds a PhD from Bonn University and the London School of Economics (2002), and a Diplom Volkswirt from Bonn University (1997). His research interests include advanced econometric techniques such as instrumental variable estimation, demand analysis, and random coefficient models. He has contributed to methodologies addressing unobserved heterogeneity, endogeneity, and identification challenges in economic data. His work often explores applications in consumer behavior, market structure, and policy evaluation. Recent research trends in his publications emphasize nonparametric identification strategies, panel data methodologies, and the integration of big data into econometric frameworks. His technical contributions include Stata modules for statistical testing and frameworks for analyzing aggregate demand and welfare effects. While no specific awards are listed, his extensive publication record reflects sustained scholarly impact in econometric theory and applied economics. Advising details and grant information are not explicitly provided in the sources, though his work often involves collaborative research teams. His office is located in the R. Rollins Building (R428), and he maintains an active academic website.

Ding Junمشاهده پروفایل

استاد

• Additive Manufacturing
• Nanomaterials
• Energy Applications
• +۳ مورد دیگر

Professor Ding Jun is a faculty member in the Department of Materials Science and Engineering at the National University of Singapore's College of Engineering. His research spans additive manufacturing and nanomaterials with applications in energy, environment, and healthcare. Contact details include office location E2-03-17 and phone 65164317. His primary research interests include: Additive Manufacturing for multi-material and multi-functional devices Nanomaterials fabrication for energy harvesting/storage, water purification, and sensor development 3D printing of metals, ceramics, and graphene-based structures Analysis of his 10 most recent publications reveals strong focus on practical applications of 3D printing across energy storage (Li-O 2 batteries, water splitting), environmental remediation (air filters, water purification), and advanced manufacturing techniques (robocasting, metallization). Key technological themes include hierarchical porous structures, multi-material integration, and performance optimization at high current densities. No scientific awards were mentioned in the source material. Professor Ding teaches core materials engineering courses including MLE3203 Engineering Materials, MLE3111 Materials Properties & Processing Laboratory, MLE4212 Advanced Structural Materials, and MLE5301 Advanced Metallic and Ceramic Materials in Additive Manufacturing. No information on research grants or student supervision was provided. His work demonstrates strong integration between novel 3D printing methodologies and real-world environmental/energy applications, with particular emphasis on creating functional architectures for electrochemical systems and pollution control.

Andreas Maierمشاهده پروفایل

پژوهشگر

• Drug Repurposing
• Network Medicine
• Bioinformatics
• +۳ مورد دیگر

Andreas Maier is a Researcher at the University of Hamburg's Faculty of Mathematics, Informatics and Natural Sciences, affiliated with the Computational Systems Biology department. He began his PhD in May 2021 with Cosy.Bio (Center for Systems Biology) at UHH, focusing on drug repurposing projects such as REPO-TRIAL. Previously, he completed a Bioinformatics master's thesis at TUM (Technical University of Munich), developing a web application for analyzing molecular disease networks. His research interests emphasize network medicine, drug repurposing, and computational tools for biomedical discovery. He has contributed to platforms like NeDRex-Web, Drugst.One, and BioCypher, which democratize access to systems medicine workflows. His work bridges heterogeneous data integration, federated learning for rare diseases, and quantum computing applications in genetics. Maier's publications highlight innovations in knowledge graph-based drug discovery, privacy-preserving federated learning, and single-cell network analysis. He actively develops open-source bioinformatics tools to address challenges in disease module identification and patient stratification. His projects align with the REPO4EU consortium and other collaborative initiatives in translational bioinformatics.

• Entrepreneurship
• Family Businesses
• Innovation
• +۳ مورد دیگر

Clay Dibrell is a Professor of Management and Chair of Entrepreneurial Excellence at the University of Mississippi’s School of Business Administration. He also serves as Co-Director of the Center for Innovation and Entrepreneurship and is a U.S. Fulbright Scholar. His expertise spans entrepreneurship, family businesses, innovation, strategic management, and international business. Education includes a B.S. from Lambuth College (1990), an M.B.A. from the University of Memphis (1992), and a Ph.D. in Business Administration from the University of Memphis (2000). He teaches courses such as Family Business Management, Strategic Planning, and Entrepreneurship at undergraduate, MBA, doctoral, and EMBA levels globally, including in the U.S., Europe, and Australia. Research focuses on family firm innovativeness, governance, and socioemotional wealth. His work explores strategic change, exit strategies, and the interplay between family commitment and innovation. He has published in leading journals like Entrepreneurship Theory & Practice and Family Business Review. Awarded the U.S. Fulbright Scholarship, he contributes to editorial boards and special issue curation. His advisory work includes innovation strategies for high-tech and natural resource industries. He emphasizes integrating family dynamics with business strategy, balancing institutional environments and firm performance.

Fernando Camelliمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics (CFD)
• Urban Environmental Modeling
• Contamination Dispersion Modeling
• +۳ مورد دیگر

Fernando Camelli is an Associate Professor in the Physics & Astronomy Department at George Mason University, holding dual roles as Instructional Faculty and Faculty. His research focuses on computational fluid dynamics (CFD), urban environmental modeling, and high-performance computing. He specializes in simulating complex fluid flows in urban environments, subway systems, and industrial applications, with particular emphasis on turbulence modeling, fluid-structure interaction, and GPU-accelerated algorithms. Key research areas include: CFD for urban airflow and contamination dispersion Meshless and immersed boundary methods Integration of geographic information systems (GIS) with CFD Large-scale simulations using parallel computing His work addresses practical challenges such as subway ventilation optimization, emergency contaminant dispersion prediction, and urban infrastructure design. Recent studies emphasize scalability improvements for fluid-structure interaction simulations and GPU-based code modernization.

Robert Sean McCannمشاهده پروفایل

استادیار

• Malaria Vector Ecology
• Medical Entomology
• Vector Control Strategies
• +۵ مورد دیگر

Dr. Robert Sean McCann is an Assistant Professor in the Department of Medicine at the University of Maryland School of Medicine (UMSOM), with a secondary appointment in Microbiology and Immunology. He is affiliated with the Center for Vaccine Development and Global Health (CVDGH), leading the Malaria Research Program. His research focuses on malaria vector ecology, transmission dynamics, and intervention strategies. Education & Training: B.S. in Biology, University of North Dakota (2002–2006) Ph.D. in Entomology & EEBB (Ecology, Evolutionary Biology & Behavior), Michigan State University (2009–2013) Postdoctoral Researcher, Wageningen University & Research (2014–2019) Postdoctoral Fellow, UMSOM (2019–2020) Research Interests: Dr. McCann investigates spatial and temporal patterns of malaria vectors (Anopheles mosquitoes) and parasite transmission using field, lab, and computational tools. Key areas include: Vector habitat use and environmental drivers Genomic analysis of Anopheles populations Evaluation of vector control interventions (e.g., larval source management, house improvements) Human-to-mosquito transmission determinants Integration of geostatistical methods for high-resolution monitoring Advising & Grants: He leads the IRSDA/K01 Fogarty International Center award studying vector diversity impacts on intervention efficacy. His work emphasizes interdisciplinary collaboration to translate research into scalable malaria control strategies. Labs/Teams: Active in the Malaria Research Program at CVDGH, collaborating with global teams in Africa (e.g., Malawi, Kenya) on field-based studies.

Rahmi Ozisikمشاهده پروفایل

دانشیار

• Materials Science
• Polymer Nanocomposites
• Computational Modeling
• +۵ مورد دیگر

Rahmi Ozisik is an Associate Professor in the Department of Materials Science and Engineering at Rensselaer Polytechnic Institute (RPI), where he has been since 2008. His academic journey includes roles as an Assistant Professor (2002–2007) and various visiting appointments at institutions like the University of Akron, ETH Zurich, and Los Alamos National Laboratory. He is affiliated with the Center for Materials, Devices, and Integrated Systems (CMDIS) at RPI. His research focuses on polymer nanocomposites, computational modeling, thermal stiffening phenomena, and supercritical fluid processing. Key areas include understanding interfacial dynamics, nanoparticle dispersion, and material characterization techniques. Ozisik’s work bridges polymer science, nanotechnology, and computational methods to advance material design and industrial applications. His contributions span over 74 indexed publications in Materials Science, Chemistry, and related fields. Notable research includes studies on wear-resistant polymer composites, magnetic nanocomposites, and protein structural modeling. He collaborates internationally and has pioneered methods for enhancing nanocomposite performance through controlled processing and functionalization strategies.

Biresh Kumar Joardarمشاهده پروفایل

استادیار

• Deep Learning Accelerators
• In-Memory Computing
• Hardware Security
• +۲ مورد دیگر

Biresh Kumar Joardar is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Houston's Cullen College of Engineering. He holds a BE from Jadavpur University (2016) and PhD from Washington State University (2020), with postdoctoral training at Duke University as a Computing Innovation Fellow. His research integrates machine learning with hardware design to develop efficient deep learning accelerators, ReRAM-based architectures, and heterogeneous manycore systems. Current projects focus on enhancing reliability, security, and performance of AI hardware through in-memory computing and 3D integration techniques. Research themes include hardware security (e.g., Rowhammer mitigation), fault-tolerant neural network training, and hardware-software co-design for bioinformatics. Recent articles explore energy-efficient architectures for graph neural networks and cross-layer optimization for AI workloads. Awards: Best Paper Award, International Symposium on Networks-on-Chip (NOCS 2019) Joardar leads the Heterogeneous and In-Memory Computing Lab, seeking PhD students with backgrounds in VLSI, computer architecture, or machine learning. His work has been supported by NSF and industry partnerships.

Bashir M. Al-Hashimiمشاهده پروفایل

استاد

• Energy-efficient mobile computing systems
• Low-power test and test-data compression of digital integrated circuits
• Energy-harvesting computing
• +۱ مورد دیگر

Professor Sir Bashir M. Al-Hashimi is currently Vice President (Research & Innovation) at King’s College London and holds the ARM Professorship in Computer Engineering there. He is also a Visiting Professor in Electronics and Computer Science at the University of Southampton. Prior to academia, he worked in the electronics design industry for eight years before joining the University of Southampton in 1999, where he became a personal Chair holder in 2004. His research focuses on energy-efficient computing systems, low-power testing, and energy-harvesting technologies, with a strong emphasis on smart city applications and wearable computing. He has led numerous interdisciplinary projects funded by the EPSRC and industry, including the PRiME Programme Grant and the EPSRC-funded Spatial Computational Learning consortium. He has supervised 45 PhD students and authored/co-authored nearly 400 technical papers, earning eight best paper awards and contributing to five books. His honors include a CBE (2018), knighthood (2025), Fellowship of the Royal Society (2023), and roles on the Research Excellence Framework panels. He founded the Arm-ECS industry-academia center in 2008, promoting energy-efficient computing research.

• Hydrology
• Hydrogeology
• Climate Change Impact
• +۳ مورد دیگر

Nathan Young is an Assistant Professor in the Department of Sustainable Resources Management at SUNY College of Environmental Science and Forestry (ESF). His research focuses on physical hydrology and environmental science, with a particular emphasis on understanding how heat, water, and solutes move through the environment in response to climate change and landscape alterations such as permafrost thaw, sea-level rise, and environmental hazards like wildfires and landslides. He integrates fieldwork, numerical modeling, and quantitative analysis to improve predictive models for sustainable water management. Education includes a Ph.D. in Geology and Environmental Science (2019, Iowa State University), an M.S. in Earth and Environmental Science (2014, Wright State University), and a B.A. in Geology and Sociology/Anthropology (2012, Earlham College). Research interests span hydrogeology, climate change impacts, permafrost dynamics, and groundwater flow modeling. His work often involves advanced tools like MATLAB, R, Python, and numerical models such as MODFLOW and HydroGeoSphere. He emphasizes fieldwork in student mentorship, valuing hands-on experience and quantitative skills. Teaching includes courses like Watershed Hydrology (FOR 340) and Watershed Ecology and Management (FOR 442). Current advisee Ford Ford is pursuing an MS in Environmental Science. Awarded funded graduate assistantships and undergraduate research positions are available to qualified candidates with academic excellence, research experience, and enthusiasm for hydrological studies. His lab focuses on cryohydrogeological systems, particularly in Arctic regions like Nunavik, Québec, and investigates the interplay between thermal regimes, permafrost degradation, and subsurface hydrology.

Roland N. Horneمشاهده پروفایل

استاد

• Geothermal reservoir engineering
• Energy production optimization
• Well test interpretation
• +۸ مورد دیگر

Roland N. Horne is the Thomas Davies Barrow Professor of Earth Sciences at Stanford University and Senior Fellow at the Precourt Institute for Energy. He holds positions in the Department of Energy Science & Engineering and is an Affiliate at the Stanford Woods Institute for the Environment. With degrees from the University of Auckland (BE, PhD, DSc), Horne has established himself as a leading expert in geothermal reservoir engineering and energy production optimization. His research focuses on inverse problems in reservoir modeling, including tracer analysis of fractures, computer-aided well test analysis, production schedule optimization, and automated history matching. Horne has made significant contributions to understanding geothermal reservoir engineering and multiphase flow of boiling fluids through porous materials and fractures. The analysis of his recent publications (2023-2025) reveals a strong emphasis on enhanced geothermal systems (EGS), with particular focus on flexible operations, economic modeling, and advanced characterization techniques. His work increasingly incorporates machine learning approaches for reservoir analysis and has expanded into microbial tracing methods for interwell connectivity assessment. There's also significant attention to US geothermal resource potential and integration into the broader energy transition. Honorary Member of the Society of Petroleum Engineers Member of the US National Academy of Engineering Multiple SPE Distinguished Lecturer appointments (1998, 2009, 2020) John Franklin Carl Award recipient Five Best Paper awards from Geothermal Resources Council Patricius Medal from German Geothermal Society Core Values Award from Women in Geothermal (2023) Horne has supervised 60 PhD and 135 MS students throughout his career. His current teaching includes undergraduate and graduate courses in Fundamentals of Energy Processes, Geothermal Reservoir Engineering, Mass and Energy Transport in Porous Media, and Well Test Analysis. He previously served as President of the International Geothermal Association (2010-2013) and Technical Program Chair for multiple World Geothermal Congress events. Horne maintains active research collaborations worldwide, including with the University of Tokyo (where he was a Fellow of the School of Engineering in 2016) and China University of Petroleum. His current research group focuses on advancing EGS technologies and developing more accurate reservoir characterization methods for geothermal applications.

Jingxian Wangمشاهده پروفایل

استادیار

• Artificial Intelligence
• Wireless Systems
• Satellite Networks
• +۹ مورد دیگر

Jingxian Wang is an NUS Presidential Young Professor and Assistant Professor in the Department of Computer Science at the National University of Singapore's Faculty of Computing. His research builds next-generation wireless systems and satellite networks, with primary focus on integrating AI with wirelessly networked devices from WiFi to satellites. He earned his PhD from Carnegie Mellon University and previously served as a research scientist at Microsoft Research in Redmond, where he led the Smart Surface for 6G and Space initiative. His educational journey includes: PhD, Carnegie Mellon University Wang's research spans Wireless Systems , Satellite Networks , Artificial Intelligence , and Internet of Things , emphasizing AI-augmented wireless systems. His interdisciplinary work bridges robotics , materials science , and AI to develop sustainable sensing methods, robust communication networks, and multimodal AI techniques. Key projects include Multimodal AI for IoT (funded by Microsoft's Accelerate Foundation Models Program) and Satellite IoT Networks. His publication trends reveal accelerating integration of AI into wireless systems, with recent focus on satellite networking, soft robotics actuation, and generative models for IoT. The research consistently targets real-world deployment challenges in battery-free systems and space networks. His scientific contributions have earned prestigious recognition: ACM SIGMOBILE Doctoral Dissertation Award 2023 Communications of the ACM Research Highlights (2021, 2022) ACM SIGMOBILE Research Highlights 2021 Best Paper Awards at IPSN 2021 and UbiComp 2020 Microsoft Research Fellowship 2020 Emerging Rockstar in IEEE Pervasive Computing 2024 Wang actively mentors doctoral students and postdoctoral researchers through his AIoT Group. His grant portfolio includes Microsoft's Accelerate Foundation Models Research Program funding for multimodal AI projects, with ongoing work targeting satellite IoT infrastructure and wireless-powered soft robotics. Future directions emphasize foundation models for space networks and battery-free IoT systems. He leads the AIoT Group, fostering cross-disciplinary collaboration between computer scientists, roboticists, and materials engineers to pioneer wireless sensing and actuation technologies.