جست‌وجوی استاد و پژوهشگر

Shaaban Abdallahمشاهده پروفایل

استاد

• Fluid Mechanics
• Computational Fluid Dynamics
• Turbomachinery Flow
• +۵ مورد دیگر

Shaaban Abdallah is a Professor in the Department of Aerospace Engineering & Engineering Mechanics at the University of Cincinnati. His research focuses on fluid mechanics, computational fluid dynamics, and turbomachinery flow analysis. He has led or collaborated on federal and industry-funded projects, including studies on hybrid propulsion systems and wind turbine optimization. Notable grants include the $27.5M Ohio Department of Development project on propulsion systems (2008–2013) and multiple General Electric Aviation collaborations. His work spans aerodynamic design, turbulence modeling, and fluid-structure interaction, with over 50 peer-reviewed publications. Recent research includes advancements in Savonius wind turbine efficiency, supersonic flow simulation, and UAV propulsion systems. Education details are not explicitly stated, but his career spans over four decades, with contributions to both academia and industry. He has advised on projects involving heart valve fluid dynamics, morphing UAVs, and micro-pump design. Key collaborations include partnerships with the Department of the Air Force and General Electric. His lab work includes developing novel compressor designs and exploring hybrid propulsion technologies. Research interests are anchored in solving complex fluid dynamics problems with applications in aerospace and energy sectors. His recent publications (2019–2025) highlight innovations in numerical methods for incompressible flows, wind energy systems, and supersonic turbulence modeling.

Jianfeng Zhengمشاهده پروفایل

استادیار

• Magnetic Resonance (MR) Safety
• Medical Device Electromagnetic Compatibility
• Wireless Power Transfer in Medicine
• +۳ مورد دیگر

Dr. Jianfeng Zheng is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Houston, part of the College of Engineering. His research focuses on Magnetic Resonance (MR) Safety, antenna design for medical applications, neurostimulation systems, electromagnetic compatibility, and wireless power transfer in healthcare. He has received the NSF Career Award for his contributions to advancing medical device safety in MRI environments. Dr. Zheng's work emphasizes computational modeling and experimental validation of RF-induced heating risks in implantable medical devices (AIMDs) and orthopedic implants during MRI scans. He develops novel methods for predicting and mitigating thermal hazards, including machine learning-driven approaches like CNN-based prediction systems for RF exposure. His research also explores material solutions such as ferrite shielding and counterpoise designs to enhance device safety. Key areas: MRI safety protocols, electromagnetic modeling, AIMD validation strategies, and biomedical device innovation. Publications span over 50 peer-reviewed articles addressing critical challenges in medical device compatibility with MRI systems. His NSF Career Award supports projects integrating AI techniques to streamline safety evaluation workflows for next-generation medical implants. Dr. Zheng collaborates with industry partners to translate research into clinical applications, ensuring cutting-edge technologies meet rigorous safety standards.

Tomas Dvorakمشاهده پروفایل

استاد

• Business Ethics
• Retirement Plan Design
• International Finance
• +۳ مورد دیگر

Tomas Dvorak is the David and Beverly Yunich Professor of Business Ethics in the Economics Department at Union College. His research focuses on retirement plan design, international finance, and the ethical dimensions of business practices. Dvorak holds a B.A. from the Prague School of Economics, an M.A. from the Central European University, and a Ph.D. from the University of Maryland. He is actively involved in the Data Analytics Program at Union College, integrating empirical analysis into his teaching and research. His work spans empirical methodology improvements, financial literacy impacts on retirement planning, and cross-border investment dynamics. Dvorak has published extensively on topics ranging from mutual fund behavior to the Euro's impact on investment patterns. Education: B.A. (Prague School of Economics), M.A. (Central European University), Ph.D. (University of Maryland) Research interests emphasize practical applications of economic principles to real-world challenges, particularly in retirement systems and global financial markets. His recent studies explore gender differences in philanthropy and the role of tentative language in literary analysis. Dvorak's teaching innovations focus on streamlining empirical research workflows to enhance student learning outcomes. His publications reflect a blend of theoretical rigor and applied relevance, addressing topics like timing effects in retirement contributions and the stability of external imbalances in global economies. While no specific awards are highlighted, his work has contributed to policy discussions on financial literacy and pension reform.

Junpeng Wangمشاهده پروفایل

پژوهشگر ارشد

• lightweight structural design
• structural optimization
• scientific visualization
• +۵ مورد دیگر

Dr. Junpeng Wang is a Postdoctoral Researcher (since June 2023) in the Chair of Computer Graphics and Visualization at the Technical University of Munich, working under Prof. Rüdiger Westermann. Previously, he completed his PhD at the same institution from November 2018 to June 2023. His research focuses on lightweight structural design and optimization with geometry-based approaches, as well as scientific visualization of tensor and mesh data. Wang's research interests span lightweight structural design , structural optimization , and scientific visualization . His work integrates computational mechanics with computer graphics to develop novel methods for stress analysis, lattice structure optimization, and 3D data visualization. His research has practical applications in mechanical engineering, additive manufacturing, and scientific data analysis. His publication portfolio shows a strong trend toward integrating machine learning with traditional computational mechanics methods, particularly in the areas of 3D Gaussian Splatting and neural data structures. Wang has developed the 3D-TSV (3D Trajectory-based Stress Visualizer), a significant tool for exploring principal stress directions in 3D solids under load, which has been published in Advances in Engineering Software (2022). Wang serves as a reviewer for prestigious journals including IEEE Transactions on Visualization and Computer Graphics (TVCG), Computer Methods in Applied Mechanics and Engineering (CMAME), Journal of Mechanical Design (JMD), Optics Express (OPTE), Computer-Aided Geometric Design (CAG), and Shape Modeling International Conference (SPM[C]). His collaborative work primarily involves Prof. Rüdiger Westermann at TUM and Jun Wu at other institutions, demonstrating strong interdisciplinary connections between computer graphics and mechanical engineering research groups.

• Nursing Education
• Adult Gerontology Acute Care
• Critical Care Nursing
• +۷ مورد دیگر

Deborah Becker, PhD, ACNP, BC, FAAN, is a Practice Professor of Nursing in the Department of Biobehavioral Health Sciences at the University of Pennsylvania School of Nursing. She directs the Streamlined Post Graduate APRN Adult Gerontology Acute Care NP Certificate Program and plays a pivotal role in shaping advanced practice nursing education. Her educational background includes a PhD from Drexel University (2007), an MSN from the University of Pennsylvania (1991), a BSN from Thomas Jefferson University (1984), and a BSG from Villanova University (1982). Dr. Becker's research and teaching focus on acute and critical care nursing, with strong emphasis on adult gerontology, patient advocacy, and interprofessional simulation training. She is a certified healthcare simulation educator and actively promotes the use of high-fidelity simulation to enhance clinical readiness across healthcare disciplines. Her work bridges clinical excellence with educational innovation, preparing nurse practitioners to manage complex, high-stakes patient scenarios. Her recent publications highlight her leadership in disaster preparedness simulation (e.g., the PennDemic framework) and in shaping certification standards for acute care nurse practitioners. These works reflect trends in experiential learning, interprofessional collaboration, and evidence-based practice development in nursing. Fellow, National League for Nursing (NLN) Academy of Nursing Education University of Pennsylvania Provost Award for Distinguished Teaching Dr. Becker is actively involved in mentoring and program leadership. She is currently accepting mentees and continues to guide the development of advanced practice nursing curricula. While no specific grants are mentioned, her leadership in interprofessional simulation initiatives like PennDemic suggests active engagement in funded educational research. She has also contributed to global nursing education through international consulting in Singapore, Ireland, Palestine, and other countries. As a certified healthcare simulation educator and active member of the Society for Simulation in Healthcare, she promotes interprofessional simulation training at Penn, leveraging the university’s strong clinical affiliations to provide students with cutting-edge, real-world experiences.

• Petroleum Engineering
• Reservoir Simulation
• Energy Science and Engineering
• +۳ مورد دیگر

Marco Roberto Thiele is an Adjunct Professor in the Department of Energy Science and Engineering at Stanford University, where he also earned his PhD in Petroleum Engineering in 1994. He holds a Master's and Bachelor's degree from the University of Texas at Austin, completed in 1989 and 1986 respectively. His academic and professional work bridges energy engineering and reservoir simulation technologies. Dr. Thiele's research is centered on innovative applications of streamline-based methods for reservoir surveillance and simulation, particularly in the context of managing mature oil fields (brown fields) and environmental challenges such as groundwater remediation. His work integrates engineering principles with practical field solutions to optimize recovery and sustainability. His expertise lies at the intersection of petroleum engineering, energy systems, and environmental engineering. While no recent publications are listed, his technical focus suggests ongoing contributions to reservoir modeling and subsurface flow optimization. These areas are critical for efficient resource management and environmental protection in energy sectors. Dr. Thiele has not been mentioned as receiving specific scientific awards in the provided text. He serves as co-founder and president of Streamsim Technologies, indicating active industry engagement and technology commercialization. This role complements his academic position, allowing for applied research translation. There is no information available about student advising or research grants in the source text. He is associated with the Department of Energy Science and Engineering at Stanford, contributing to research and education in energy technology and subsurface engineering. His work likely involves collaboration with research teams focused on sustainable energy and reservoir management, though specific labs or groups are not named.

• Microbiology
• Theoretical Ecology
• Host-Microbiome Interactions
• +۵ مورد دیگر

Dr. Bram van Dijk is an Assistant Professor at the Faculty of Science, Utrecht University , affiliated with the Department of Theoretical Biology under the Biodynamics and Biocomplexity unit. His work bridges computational modeling with microbial evolution to uncover fundamental biological principles. Research Focus : Microbiology, Theoretical Ecology, Host-Microbiome Interactions, and Evolutionary Dynamics. Expertise : Developing biological simulation models using C++ and scripting languages (Bash, JavaScript, HTML). His research explores how simple rules govern complex microbial systems through in silico models. Recent studies analyze bacterial division of labor, genome streamlining via transposable elements, and dynamics of horizontal gene transfer. Key publication trends include microbial adaptation in compost ecosystems, metabolic network evolution, and gene retention mechanisms. He maintains a personal website, The Virtual Laboratory , for computational biology outreach. Contact: b.vandijk@uu.nl | Room N.605, Hugo R. Kruyt Building, Padualaan 8, Utrecht, Netherlands.

• Criminal Law
• Legal Informatics
• Procedural Law
• +۲ مورد دیگر

Candide Şentürk is an Associate Professor at the Faculty of Law of Izmir University of Economics . Her academic work focuses on criminal law, procedural law, and digitalization in judicial systems. Education: Not explicitly mentioned in the text. Research Interests: Şentürk specializes in criminal responsibility, particularly in digital and social media contexts, judicial efficiency via procedural reforms, and ethical/legal challenges in modern litigation. Her work explores intersections between technology and law, such as e-defamation and digital evidence. Recent Publications: Her research trends emphasize criminal procedure modernization (e.g., digital judiciary reforms), liability frameworks for cybercrimes, and judicial economy. Key themes include social media accountability, witness confidentiality, and procedural streamlining. Scientific Awards: None explicitly mentioned. Additional Contributions: She has participated in moot court competitions as a mentor or evaluator, reflecting her engagement with legal education and practical training.

• Incident Response Readiness & Simulation
• AI-Augmented Security Operations
• SOC Effectiveness & Vendor Benchmarking
• +۳ مورد دیگر

Montii Abid serves as a Casual Academic at the Faculty of Engineering and Information Technology, University of Technology Sydney, leveraging over 15 years of industry experience as a cybersecurity consultant, educator, and researcher specializing in incident response, SOC optimization, and AI-driven security practices for global enterprises and SMEs. His research focuses on: Developing incident response readiness frameworks through simulation and benchmarking Integrating AI/LLMs into SIEM, EDR, and SOAR platforms for accelerated threat detection Optimizing SOC effectiveness via vendor benchmarking and technology evaluation Automating threat intelligence enrichment using AI-driven correlation Streamlining compliance processes for ISO, PCI DSS, GDPR, and SOC 2 Designing cloud-native resilient architectures with predictive analytics His work consistently bridges theoretical security models with practical enterprise implementation, emphasizing adaptive solutions for evolving threat landscapes. Montii's research output, exemplified by his 2024 conference paper on adaptive incident response metrics, demonstrates a clear trajectory toward AI-augmented security operations. His framework uniquely combines proactive threat hunting, real-time intelligence, and machine learning to create dynamic response capabilities that address critical gaps in current cybersecurity practices. As an educator, he actively mentors professionals in applied threat intelligence and incident management, focusing on practical integration of next-generation security tools. His teaching philosophy centers on enabling organizations—from SMEs to global corporations—to navigate the complex vendor ecosystem and implement effective AI-enhanced security stacks, though specific advisees and grant details remain undisclosed in available materials.

• Biomedical Image Processing
• Image Processing
• Medical Imaging
• +۱ مورد دیگر

Zhu Chen is a Researcher at RWTH Aachen University within the Faculty of Electrical Engineering and Information Technology, holding dual affiliations with the Chair of Imaging and Image Processing (led by Prof. Volkmar Schulz) and the Junior Professorship for Biomedical Image Processing (under Prof. Johannes Stegmaier). She operates from offices in ICT Cube 1 (Room 111) and ICT Cube 2 (Room 138), contributing to advanced research in medical and biological image analysis while holding an M.Sc. degree. Research Interests Chen's primary focus spans biomedical image processing, medical imaging, and computer vision with specialized applications in animal behavior tracking and embryonic development analysis. Her methodology integrates unsupervised learning for 3D temporal alignment of biological structures and foundation models for annotation streamlining, targeting efficiency improvements in developmental biology research through computational innovation. Publication Trends Analysis reveals a strategic pivot from energy management systems for hybrid transportation (2021-2022 publications on fuel cell trains/buses) to biomedical imaging (2023-2025). Current work emphasizes AI-driven solutions for biological image analysis, particularly in zebrafish embryo studies and automated animal tracking, demonstrating applied machine learning expertise across divergent scientific domains. Scientific Awards No documented scientific awards, fellowships, or honors were identified in available institutional records. Advising and Grants Public sources contain no verifiable information regarding student supervision, grant acquisitions, or funded research projects under Chen's direct leadership. Laboratory and Team Affiliations Chen actively collaborates within the Chair of Imaging and Image Processing's scientific team alongside researchers including Ankit Amrutkar and Henning Konermann. She utilizes specialized facilities such as optical systems research areas and MRI laboratories, contributing to the institute's mission in medical image processing and computational biology.

Jamal Ouennicheمشاهده پروفایل

استاد

• Business Analytics
• Operations Management
• Data Envelopment Analysis (DEA)
• +۵ مورد دیگر

Jamal Ouenniche is a Professor and Chair in Business Analytics at the University of Edinburgh Business School. He serves as Head of the Management Science and Business Economics group, Director of the MSc in Business Analytics, a Member of the Senate, and a Member of the Business School Executive Board. Education: BSc in Mathematics, MSc in Operational Research (University of Montreal), PhD in Operations Management (Laval University). His research spans descriptive, predictive, and prescriptive analytics , addressing managerial challenges in energy, manufacturing, transport, banking, and public sector policy. Methodological contributions include optimization, artificial intelligence, DEA, risk modeling, and forecasting. Recent research trends focus on bankruptcy prediction (complex networks, feature selection), DEA applications (Islamic banks' productivity), and simulation model reuse in operational contexts. He acts as a referee for over 25 journals, conferences, and councils like ESRC and SSHRC, and serves as Associate Editor for the Journal of Optimization Theory and Applications . Collaborations span energy sustainability, financial resilience, and cross-country research councils.

• Turbulent and Separated Flows in Machinery
• Experimental Fluid Mechanics
• Heat Transfer Enhancement
• +۳ مورد دیگر

Ünver Özkol is an Associate Professor in the Department of Mechanical Engineering at Istanbul Technical University. His research focuses on turbulent and separated flows in machinery, experimental fluid mechanics, heat transfer enhancement, and cooling of electronic equipment. He holds a PhD from the Illinois Institute of Technology in Mechanical and Aerospace Engineering, with prior degrees from the same institution and Istanbul Technical University. His work spans aerodynamics, thermal systems, and porous media analysis. Notable contributions include studies on bypass fan optimization, numerical determination of thermal properties in metal foams, and spray characteristics of biodiesel fuels. He has published extensively in top-tier journals and conferences, with recent focus areas including renewable energy applications and advanced heat transfer modeling. His publications reflect expertise in fluid dynamics, computational methods, and experimental techniques, often addressing challenges in aerospace, environmental, and materials engineering. Despite no explicitly listed awards, his active research profile indicates significant academic contributions.

William Devenportمشاهده پروفایل

استاد

• Aeroacoustics
• Experimental Aerodynamics
• Turbulent Boundary Layers
• +۵ مورد دیگر

William Devenport is a Professor and the Crofton Professor in Engineering at the Virginia Tech College of Engineering , where he also serves as Director of the Virginia Tech Stability Wind Tunnel and the Center for Renewable Energy and Aero/Hydrodynamic Testing (CREATe) . He holds a Ph.D. from Cambridge University (1985) and a B.Sc. from Exeter University (1981). Education Ph.D., Experimental and Computational Fluid Dynamics, Cambridge University (1985) B.Sc., Engineering Science, Exeter University (1981) His research focuses on experimental aeroacoustics and advanced wind tunnel technology , with over 200 publications in journals such as Journal of Fluid Mechanics and AIAA Journal . Key contributions include the development of the hybrid aeroacoustic wind tunnel and studies on roughness noise, turbulence ingestion, and boundary layer superstructures. Recent publications highlight interdisciplinary trends in acoustic metamaterials , CFD validation , and non-equilibrium turbulence . His 2025 work addresses sub-convective pressure fluctuations, Kevlar-covered sensors, and 3D smooth-body separation, while 2024 studies explore roughness impacts, hybrid tunnel boundary simulation, and pressure gradient effects. Scientific Awards : 2019 AIAA Aeroacoustics Award 2017 von Kármán Institute Lecture 2015 Virginia Tech Teaching Excellence and Health & Safety Recognition 2006 AIAA Associate Fellow Prof. Devenport teaches AOE 3114 Aerodynamics , AOE 5104 Advanced Aero/Hydrodynamics , and AOE 5124 Aero/Hydroacoustics , emphasizing student-driven experimentation and historical context. He leads the Stability Wind Tunnel and contributes to NATO AVT-349 and AIAA technical committees.

John M. Gregoireمشاهده پروفایل

استاد پژوهشی

• Materials Science
• Energy Materials Discovery
• High-Throughput Experimentation
• +۵ مورد دیگر

John M. Gregoire is a Research Professor of Applied Physics and Materials Science at the California Institute of Technology (Caltech), part of the Division of Engineering and Applied Science. He joined Caltech in 2021 after completing his Ph.D. at Cornell University (2009), with prior degrees from Concordia College (B.S., 2004) and Cornell (M.S., 2006). His research focuses on accelerating materials discovery through high-throughput experimentation, integrating computational methods and artificial intelligence. Key areas include energy materials for solar fuels, electrocatalysis, and photoelectrochemistry. His team develops automated lab systems and data platforms like MHub and the Materials Experiment Knowledge Graph to streamline materials research. Education: B.S., Concordia College, 2004 M.S., Cornell University, 2006 Ph.D., Cornell University, 2009 Dr. Gregoire’s work emphasizes interdisciplinary approaches, combining materials synthesis, machine learning, and experimental automation. Recent projects address CO 2 reduction, oxygen evolution catalysts, and durable photoelectrochemical systems. His lab has pioneered methods for autonomous materials characterization and combinatorial screening of semiconductor alloys. He leads initiatives in data science for experimental chemistry, advocating for open-source tools like DBgen and ESAMP. His contributions have advanced the field of computational sustainability and AI-driven materials discovery.

• Artificial Intelligence in Healthcare
• Otolaryngology
• Cardiovascular Disease Research
• +۳ مورد دیگر

David R. Friedland, MD, PhD, is a Clinical Professor of Otolaryngology - Head & Neck Surgery and Associate Dean for Clinical Research at the Keck School of Medicine of the University of Southern California. He also serves as Director of Clinical AI Applications and Clinical Research Support at the Southern California Clinical and Translational Science Institute (SC CTSI). His research focuses on leveraging AI and big data to improve diagnostics for ear, nose, and throat disorders, including vestibular disorders and cardiovascular-hearing loss correlations. He has led efforts to streamline clinical trials, enhance academic-industry partnerships, and address healthcare disparities through AI-driven solutions. Dr. Friedland’s academic journey includes an MD from Icahn School of Medicine at Mount Sinai, residency at Mount Sinai, and fellowship at Johns Hopkins. His administrative roles include former Division Chief of Otology and Neurotology at Medical College of Wisconsin. He actively promotes clinical trials workforce development and technology adoption in healthcare operations. His research emphasizes AI’s role in personalized medicine, healthcare equity, and translational science. Notable contributions include algorithmic tools for BPPV risk assessment and cardiovascular disease-hearing loss links. He advocates for ethical AI integration in clinical workflows, ensuring human-centric decision-making. Dr. Friedland’s leadership spans USC’s medical school and hospital partnerships, fostering innovation and junior faculty growth.