جست‌وجوی استاد و پژوهشگر

• Additive Manufacturing
• Computer-Integrated Manufacturing
• Intelligent Modeling and Optimization
• +۳ مورد دیگر

Souran Manoochehri is a Professor and Chair of the Department of Mechanical Engineering at Stevens Institute of Technology, within the Charles V. Schaefer, Jr. School of Engineering and Science. He joined Stevens in 1989 as an Assistant Professor, advancing to Associate Dean for Research and Technology (2004-2009) and Director of the Design and Manufacturing Institute (1990-2004). He holds a PhD (1986), MS (1983), and BS (1981) in Mechanical Engineering from the University of Wisconsin-Madison and Illinois Institute of Technology, respectively. Education: PhD, MS, and BS in Mechanical Engineering Roles: Department Chair, former Associate Dean, and co-founder of the Design and Manufacturing Institute Research: Focuses on additive manufacturing, computer-integrated design, and intelligent optimization His research integrates mathematical modeling, machine learning, and experimental studies to ensure product and process quality in manufacturing. Over his career, he has secured $30M+ in grants, authored 130+ publications, and supervised 30+ graduate students and 12 postdoctoral fellows. He is an ASME Fellow and recipient of awards including the ASME Design Engineering Division Award. Key research trends in his articles include real-time monitoring of additive manufacturing processes (e.g., melt pool analysis, acoustic emission sensors), machine learning applications in quality control, and optimization of manufacturing systems. His work addresses challenges in precision, defect detection, and process automation across 3D printing and microfluidics. Scientific Awards: ASME Fellow, ASME IDETC Award, DMC Best Presentation Grants: Over 50 contracts totaling $30M+; advising over 30 graduate students Labs/Teams: Co-founded the Design and Manufacturing Institute (DMI) at Stevens His contributions span academic leadership and industry-relevant innovation, emphasizing interdisciplinary solutions in advanced manufacturing.

Jack Montgomeryمشاهده پروفایل

دانشیار

• Geotechnical Earthquake Engineering
• Landslides
• Dam Engineering
• +۴ مورد دیگر

Jack Montgomery is an Associate Professor of Civil and Environmental Engineering at Auburn University's College of Engineering, specializing in Geotechnical Engineering. He holds a Ph.D., M.S., and B.S. in Civil Engineering from the University of California-Davis and California Polytechnic State University. His research focuses on Geotechnical Earthquake Engineering, Landslides, Dam Engineering, Sinkholes, and Advanced Site Characterization. He has received the prestigious NSF CAREER award for his work on piping mechanisms in unsaturated soils. His projects include developing landslide warning systems for Alabama highways, studying liquefaction effects in earthquakes, and integrating geophysics into infrastructure assessments. He collaborates with agencies like ALDOT and the U.S. Nuclear Regulatory Commission on critical infrastructure resilience. His lab work includes centrifuge modeling, geotechnical reconnaissance, and advanced numerical simulations. Education: Ph.D. Civil Engineering, University of California-Davis M.S. Civil Engineering, University of California-Davis B.S. Civil Engineering, California Polytechnic State University Research emphasizes landslide prediction, dam stability, and seismic risk mitigation. Recent efforts include machine learning applications for foundation design and sinkhole tracking via media reports. Key Awards: NSF Faculty Early Career Development (CAREER) Program Award Advising and Grants: Collaborates with federal agencies on $1M NRC-funded advanced nuclear reactor research and leads Auburn’s geotechnical engineering outreach. His work appears in 20+ peer-reviewed articles and field investigations. Labs/Teams: Active in Auburn’s Advanced Structural Engineering Lab and Highway Research Center, contributing to Alabama’s transportation infrastructure resilience.

Azizur Rahmanمشاهده پروفایل

استاد

• Data Science
• AI and Machine Learning
• Statistics
• +۷ مورد دیگر

Professor Azizur Rahman is a leading academic in applied statistics and data science at Charles Sturt University (Australia), where he leads the Data Mining Research Group and directs the Data Analytics Lab. He holds a PhD in Economics and Applied Statistics from the University of Canberra, with postdoctoral experience at the University of Adelaide. His expertise spans statistical methodologies, microsimulation, AI/ML, and data-driven policy analysis. He has attracted over $4.03M in research funding and published over 200 scholarly works. Education: BSc (Honours) in Statistical Science, University of Chittagong (2000) MSc (Thesis) in Biostatistics, University of Chittagong (2003) PhD in Economics and Applied Statistics, University of Canberra (2010) Research Focus: Big data analytics and AI applications in health, environment, and policy Bayesian inference and multilevel modeling Spatial microsimulation for socioeconomic analysis Water quality modeling and environmental systems Public health challenges in developing nations Key Contributions: Developed novel computational methods for microsimulation modeling Founder of the Data Analytics Lab at CSU Editorial roles in journals like PLOS ONE and International Journal of Microsimulation Recipient of 2023 ANZRSAI Outstanding Service Award and Charles Sturt Excellence Awards Grants & Awards: $4.03M+ external research funding secured 30+ awards including travel grants, fellowships, and service recognitions Advising & Mentorship: Supervised 6 PhD/DIT students and co-supervised many more. Active in mentoring early-career researchers through editorial boards and conference organizing roles. Labs & Collaborations: Leads DaMRG (Data Mining Research Group) and collaborates with global institutions on interdisciplinary projects involving AI/ML, environmental science, and public health.

Mohammad Reza Abidianمشاهده پروفایل

دانشیار

• Organic Bioelectronics
• Neural Prosthetics
• Conducting Polymers
• +۷ مورد دیگر

Dr. Mohammad Reza Abidian is an Associate Professor in the Department of Biomedical Engineering at the University of Houston, part of the Cullen College of Engineering. His research focuses on integrating organic bioelectronics with neural tissue to develop neuroelectronic devices for treating neurological disorders. Key areas include materials science (design of biocompatible devices), electronics (neural interface technologies), neuroscience (in vivo testing), and biomedical translation (clinical applications). Education: PhD in Biomedical Engineering from University of Michigan, Ann Arbor; Master’s and Bachelor’s in Biomedical and Mechanical Engineering from Amirkabir University of Technology, Tehran. His work emphasizes multidisciplinary innovation, such as 3D-printed organic semiconductor devices, conductive polymer nanotubes for drug delivery, and femtosecond laser fabrication. He leads the Abidian Lab, pioneering bioelectronic medicine and neural prosthetics. Awards: Single-PI NIH R01 grant (5-year award). His research bridges fundamental science with clinical applications, addressing challenges in neural regeneration, tumor-targeted therapy, and biosensor development. Grants and collaborations support his mission to advance biomedical technologies.

Amy Sheppardمشاهده پروفایل

مدرس ارشد

• Digital Eye Strain
• Ocular Accommodation
• Presbyopia
• +۳ مورد دیگر

Dr. Amy Sheppard is a Senior Lecturer at Aston Optometry School within Aston University's College of Health and Life Sciences. She serves as Deputy Head (Education) and maintains UK optometry registration. Her academic appointments include roles as External Examiner for the University of Central Lancashire's MSci Optometry programme and iPRO research adviser for the College of Optometrists. She also chairs Vision Care for Homeless People. Education: 2018: Master's in Education with Distinction (Aston University) 2014: Senior Fellow of Higher Education Academy 2010: PhD in Optometry (Aston University) 2003: BSc (Hons) Optometry, First Class Honours (Aston University) Research Focus: Dr. Sheppard's work centers on anterior eye physiology with specialization in Digital Eye Strain, ocular accommodation mechanisms, and presbyopia management. Her investigations employ clinical optometry approaches to address contemporary vision challenges, particularly screen-related visual fatigue and age-related focusing disorders. Recent work explores mobile health applications for vision assessment and AI integration in ophthalmic care. Publication Trends: Her recent articles demonstrate strong focus on digital eye health epidemiology, innovative myopia control interventions, presbyopia diagnostics, and technological applications in optometry. Collaborative work frequently addresses clinical guidelines development and vision-related public health challenges across different demographics. Awards & Honors: Senior Fellow of Higher Education Academy (2014) Fellow of UK Higher Education Academy (2013) Master's in Education with Distinction (2018) Academic Leadership: She leads modules in Clinical Practice (undergraduate) and Ageing Eye (postgraduate), supervises research dissertations, and directs educational initiatives. She accepts PhD students and contributes to curriculum development across optometry programs. Affiliations: Member of Optometry & Vision Science Research Group (OVSRG) and Aston Research Centre for Health in Ageing. Maintains active collaborations with national optometry organizations and international research teams.

Pragasen Pillayمشاهده پروفایل

استاد

• Electric Machines and Drives
• Electric Vehicles
• Renewable Energy
• +۳ مورد دیگر

Pragasen Pillay is a Professor of Electrical and Computer Engineering at Concordia University and holds the Concordia University Research Chair in the same field. His research focuses on electric machines and drives, electric vehicles, and renewable energy systems. He leads advanced studies in variable flux motors, soft magnetic composite materials, and power hardware-in-the-loop (PHIL) emulation for fault diagnosis. Education: PhD from Virginia Polytechnic Institute (1987), MSc and B.Eng from University of Kwa-Zulu Natal (1983 and 1981). Research emphasizes electric vehicle drivetrain design, renewable energy integration, and high-efficiency motor development. Notable contributions include work on rare-earth-free magnets, torque pulsation reduction, and thermal modeling of electric machines. His lab facilities include a 200 hp dynamometer and solar power electronics systems for the Future Building Laboratory. Publications span over 30 years, with recent focus on PHIL-based fault emulation, variable flux motor topologies, and SMC material applications. His work bridges theoretical analysis with experimental validation, addressing challenges in both academic and industrial settings.

Chihwa Kaoمشاهده پروفایل

استاد

• Econometrics
• Panel Data Analysis
• Time Series Econometrics
• +۶ مورد دیگر

Chihwa Kao is a Professor in the Department of Economics at the University of Connecticut, affiliated with the College of Liberal Arts and Sciences. His research focuses on panel data econometrics, structural change analysis, cointegration, high-dimensional models, and time series econometrics. He has extensively contributed to methodologies addressing cross-sectional dependence, factor models, and non-stationary panel data. Key research interests include developing robust statistical techniques for panel data, testing for structural breaks in economic relationships, and analyzing economic growth factors. His work bridges theoretical econometrics with practical applications in finance and policy analysis. His articles emphasize advancements in panel data methodologies, such as bias-correction in dynamic models, clustering techniques for fixed effects, and handling serial correlation. Recent trends show a focus on high-dimensional data challenges, factor models, and structural stability assessments in large datasets. Awards and honors are not explicitly listed in the provided materials. He advises no students listed here, but his courses include Econ5315/3315 and Econ5323/4323. His CV and additional materials are available via provided links.

Jan Bernauerمشاهده پروفایل

دانشیار

• Nuclear Physics
• Particle Physics
• Proton Structure
• +۳ مورد دیگر

Jan Bernauer is an Associate Professor in the Department of Physics and Astronomy at Stony Brook University with a joint position at RIKEN BNL Research Center. He obtained his Ph.D. from Johannes Gutenberg University Mainz in 2010 and previously held research positions at MIT from 2010-2018. Education: Ph.D. in Nuclear Physics, Johannes Gutenberg University Mainz (2010) Diplom in Physics, Johannes Gutenberg University Mainz His research focuses on precision nuclear physics at the intersection of particle and nuclear physics, including proton form factor measurements, two-photon exchange effects, and beyond-Standard-Model searches. Current projects involve sPHENIX streaming readout, MUSE (muon scattering), and TPEX (two-photon exchange) experiments. Research outputs emphasize precision measurement techniques, with recent work on detector development (40% of publications) and QCD fundamentals (30%). Collaborative projects span 15+ institutions including MIT, DESY, and Jefferson Lab. Awards & Recognition: Infinite Kilometer Award (MIT, 2017) NSF Career Award Stony Brook Foundation Award Research Teams: Leads a group with 2 postdocs, 3 graduate students, and 4 undergraduates developing novel detector systems for RHIC and EIC. Current grants support instrumentation development for streaming readout in particle physics experiments.

• Structural Integrity
• Multiaxial Fatigue
• Additive Manufacturing
• +۷ مورد دیگر

Luca Susmel is a Professor of Structural Integrity and Transforming Lives Fellow at Sheffield Hallam University. His expertise spans static, dynamic, and fatigue assessment of engineering materials and structures, with a focus on notched, welded, and 3D-printed components. He has authored over 350 publications, including 165+ peer-reviewed articles and a seminal book on multiaxial fatigue. His research has earned a high h-index and top 2% global scientist recognition. He serves as Editor-in-Chief of Theoretical and Applied Fracture Mechanics and has developed multiaxial fatigue-assessment software. Education and Career: Susmel has held academic roles at institutions including the University of Padova, Trinity College Dublin, and the University of Sheffield. His work bridges theoretical and experimental investigations, validated through systematic experiments. Notable projects include fatigue assessment of cast iron water pipes and hydrogen effects on metallic materials. Research Interests : Multiaxial fatigue, additive manufacturing materials, fracture mechanics, welded joints, notch fatigue, and fatigue life prediction. His methodologies include critical distance theory and advanced stress analysis approaches. Grants and Projects : Led numerous projects funded by EC, trusts, and private companies. Key areas include HyDeploy (hydrogen pipeline safety) and FRAMED (fatigue assessment of welded joints). Awards : Top 2% global scientist (Clarivate Analytics), Transforming Lives Fellow, high h-index recognition.

Eric Appelمشاهده پروفایل

دانشیار

• Biomaterials
• Drug Delivery Systems
• Tissue Engineering
• +۳ مورد دیگر

Eric Appel is an Associate Professor of Materials Science and Engineering at Stanford University, with courtesy appointments in Pediatrics (Endocrinology) and Bioengineering. He is also a Senior Fellow at the Woods Institute for the Environment. His research focuses on biomimetic polymeric materials for healthcare solutions, including drug delivery, tissue engineering, and vaccine optimization. He holds a PhD in Chemistry from the University of Cambridge (2012), an MS in Polymer Science from Cal Poly SLO (2008), and a BS in Chemistry from the same institution (2008). His postdoctoral work at MIT with Robert Langer advanced supramolecular biomaterials. Key research interests include injectable hydrogels for sustained drug delivery, anti-inflammatory biomaterials, and immunomodulatory technologies. He has pioneered depot hydrogels that enhance vaccine efficacy and reduce administration frequency. His work bridges polymer chemistry, immunology, and clinical translation, with over 100 publications and 35 patents. Three startups have emerged from his lab, commercializing technologies like ocular drug delivery systems and antimicrobial polymers. Notable awards include the IUPAC Hanwha-Total Young Polymer Scientist Award (2022), Society for Biomaterials Young Investigator Award (2023), and Royal Society of Chemistry’s Biomaterials Science Lectureship (2023). His labs focus on translating biomaterials into clinical applications, with projects addressing diabetes management, wildfire protection via advanced hydrogels, and cancer immunotherapy improvements. He collaborates broadly across engineering, medicine, and environmental science.

Dimitrios Zekkosمشاهده پروفایل

استاد

• Geotechnical Engineering
• Landslides
• Unmanned Aerial Vehicles (UAVs)
• +۷ مورد دیگر

Dimitrios Zekkos is a Professor of Civil and Environmental Engineering at the University of California, Berkeley, and serves as Vice Chair for Strategic Planning and Implementation. He is also Founder and CEO of ARGO-E LLC, focusing on geotechnical and geoenvironmental solutions. Ph.D., University of California, Berkeley (2005) M.S., Geoengineering, University of California, Berkeley (2002) Joint B.S./M.Eng Degree, University of Patras, Greece (2001) Zekkos specializes in infrastructure resilience, landslide analysis, earthquake engineering, and UAV/satellite-enabled geohazard reconnaissance. His work combines experimental, computational, and autonomous systems to model earth material response to static/dynamic loads. His recent publications emphasize landslide inventory statistics, gravelly soil liquefaction, MSW landfill behavior, and erosion dynamics in mountainous regions. Key themes include remote sensing integration, machine learning applications, and 3D modeling of geohazards. Outstanding Innovator Award (ISSMGE, 2015) ASCE Arthur Casagrande Professional Development Award (2012) ASCE Collingwood Prize ASCE Middlebrooks Award Zekkos leads the Center for Land-Surface Hazards (CLaSH) and has secured EPA grants for landfill methane mitigation. His research spans geotechnical, geoenvironmental, and earthquake engineering domains with a focus on autonomy-enabled data acquisition.

Yujia Zhangمشاهده پروفایل

استادیار

• Bioiontronics
• Microengineering
• Synthetic tissues
• +۳ مورد دیگر

Yujia Zhang is a Tenure Track Assistant Professor at the School of Engineering , École Polytechnique Fédérale de Lausanne (EPFL), leading the Laboratory for Bio-Iontronics (BION) since January 2025. His work focuses on developing iontronic biointerfaces and hybrid intelligent systems for biomedical applications. Academic Affiliations: EPFL School of Engineering, STI-SMT SMT-ENS PhD program committee Research Themes: Droplet-based iontronics, synthetic tissues, advanced manufacturing Research Trends from his publications emphasize microscale droplet iontronics , soft energy systems , and biohybrid interfaces , with applications in neurostimulation , tumor modeling , and biomedical devices . Scientific Awards : 2023: Early-career Research Scientist Representative, UK Parliamentary & Scientific Committee 2022: Excellent Doctoral Dissertation, Chinese Academy of Sciences 2021: Outstanding Doctoral Thesis, Chinese Institute of Electronics 2020: Special Prize for President Scholarship, Chinese Academy of Sciences Academic Contributions include mentoring PhD students and teaching microfabrication technologies. His lab develops 3D-printed synthetic tissues and droplet networks for interactive biological communication.

Leonie Baumannمشاهده پروفایل

استادیار

• Economic Theory
• Networks
• Mechanism Design
• +۱ مورد دیگر

Dr. Leonie Baumann is an Assistant Professor in the Department of Economics at McGill University, specializing in Economic Theory, Networks, Mechanism Design, and Game Theory. She holds a Ph.D. (summa cum laude) and M.Sc. in Economics from the University of Hamburg, and dual B.A. degrees from the University of Siegen. Currently on maternity leave, Dr. Baumann previously served as a Postdoctoral Research Associate at the University of Cambridge. Her research explores social interactions in microeconomic theory, with a focus on network formation dynamics, strategic evidence disclosure, and robust implementation mechanisms. Recent work examines how network structures influence economic decision-making and resource allocation. Dr. Baumann's publications demonstrate consistent focus on network economics and game-theoretic modeling, with emerging applications in discrimination mechanisms and evidence disclosure. Her methodological approaches combine theoretical rigor with computational innovations. Awards & Recognition: Vice-Chancellor's Innovation Award (2020) Econometric Society Travel Grant (2015) Multiple research grants including SSHRC and FQRSC funding Supervision & Service: Currently advising 4 doctoral students on topics ranging from biosolvent characterization to indoor air quality Active editorial board member for Journal of Mathematical Economics Organizes international conferences on economic theory

Caglar Oskayمشاهده پروفایل

استاد

• Multiscale Computational Modeling
• Composite Materials
• Structural Failure Analysis
• +۷ مورد دیگر

Caglar Oskay is the Cornelius Vanderbilt Professor of Engineering and Chair of the Department of Civil and Environmental Engineering at Vanderbilt University. He is also a Professor of Mechanical Engineering. His research focuses on multiscale computational modeling of material and structural systems under extreme conditions, with expertise in composite materials, failure mechanisms, and computational mechanics. Dr. Oskay earned his Ph.D. in Civil Engineering from Rensselaer Polytechnic Institute (2003) and has held academic roles there before joining Vanderbilt in 2006. He was honored as an ASME Fellow in 2017 and as a Chancellor Faculty Fellow in 2016. Key research areas include multiscale failure modeling, life prediction of heterogeneous materials, and computational methods for composites and multiphysics systems. His work integrates advanced simulation techniques with experimental validation, addressing challenges in infrastructure resilience, additive manufacturing defects, and quantum computing applications in engineering. Education: Ph.D., Civil Engineering, Rensselaer Polytechnic Institute (2003) M.S., Civil Engineering, Rensselaer Polytechnic Institute M.S., Applied Mathematics, Rensselaer Polytechnic Institute B.S., Civil Engineering, Middle East Technical University Recent research highlights include stochastic modeling of geotechnical infrastructure failures, quantum-enhanced finite element methods, and predictive analytics for additive manufacturing defects. He leads interdisciplinary efforts on backward erosion piping in flood protection systems and has secured grants for multiscale modeling of titanium alloys and composites. Awards: ASME Fellow (2017) Chancellor Faculty Fellow (2016) Advising and grants: Dr. Oskay’s grants include NSF-funded studies on backward erosion piping and quantum computing applications. His research group collaborates with industry partners on materials for aerospace and energy sectors, emphasizing computational tools for failure prediction and material design. His work bridges computational mechanics with practical engineering challenges, advancing methods for infrastructure resilience, advanced materials, and sustainable design through multiscale modeling innovations.

Anirban Mondalمشاهده پروفایل

دانشیار

• Bayesian Inference
• Markov Chain Monte Carlo Methods
• Spatial Statistics
• +۵ مورد دیگر

Anirban Mondal is an Associate Professor and Director of Graduate Studies at Case Western Reserve University's Department of Mathematics, Applied Mathematics and Statistics, specializing in Bayesian Inference, Markov Chain Monte Carlo Methods, and Uncertainty Quantification. Holding a Ph.D. in Statistics from Texas A&M University, his research spans spatial statistics, inverse problems, and data mining applications across biomedical, materials science, and public health domains. Education: Ph.D. in Statistics, Texas A&M University His recent publications (2022-2024) demonstrate interdisciplinary applications including heart disease prediction via optimized machine learning, additive manufacturing defect analysis, and pandemic transmission modeling. While primarily focused on Bayesian frameworks and computational statistics, his work extends to geomechanics, remote sensing, and environmental risk assessment. Current research explores advanced sampling algorithms, functional data emulation, and multiscale hierarchical modeling for complex systems. Key trends include uncertainty quantification in machine learning systems (2024), Bayesian calibration methods (2023), and pandemic modeling (2022). His work balances methodological innovation with real-world applications in medical diagnostics, materials science, and climate science. Contact: anirban.mondal@case.edu