جست‌وجوی استاد و پژوهشگر

Ayse Tekesمشاهده پروفایل

دانشیار

• Soft Robotics
• Flexible Machines
• Engineering Education
• +۳ مورد دیگر

Ayse Tekes is an Associate Professor in the Department of Mechanical Engineering at Kennesaw State University (KSU). She holds a PhD in Mechanical Engineering from Istanbul Technical University and has conducted postdoctoral research at Georgia Tech. Her research focuses on soft robotics and flexible machines, as well as innovative engineering education through AI-powered virtual labs and 3D-printed laboratory equipment. She actively contributes to open-source educational resources, including virtual labs for vibrations, mechanisms, and control systems, which are freely accessible via GitHub and MATLAB File Exchange. Dr. Tekes has received significant recognition, including the NSF Award (2024-2027), KSU Outstanding Teaching Award (2025), and SPCEET Distinguished Teaching Award (2025). She leads the Vibrations and Control Lab and the Dynamics and Control Group at KSU, emphasizing hands-on learning and student mentorship. Over 150 students have been mentored since 2016, with many achieving notable awards, including Connor Talley (Outstanding Undergraduate Research Award, 2024) and Kevin Tran (featured as an Owl for research contributions). Her grants include NSF, NIH, and MathWorks funding, totaling over $1.5 million. Key projects involve developing compliant mechanisms for prosthetics, biomimetic robots, and educational tools. Dr. Tekes’ work bridges robotics innovation with transformative education, fostering student success through immersive, technology-driven learning environments.

Bernd-Peter Parisمشاهده پروفایل

دانشیار

• Communication Systems
• Wireless Networks
• Information Theory
• +۳ مورد دیگر

Bernd-Peter Paris is an Associate Professor in the Department of Electrical and Computer Engineering at George Mason University, where he has served since 1987. He leads the MS in Telecommunications program and holds affiliations with the IEEE and Eta Kappa Nu. Dr. Paris specializes in communication systems, wireless networks, and information theory, with a focus on signal processing and adaptive techniques. He earned his PhD in Electrical Engineering from Rice University (1990) and a Diplom-Ingenieur from Ruhr-University Bochum (1986). His research explores mobile wireless networks, synthetic diversity, and interference mitigation, supported by awards like the NSF Research Initiation Award (1993-1996) and a Fulbright Scholarship (1986). Education: PhD, Electrical & Computer Engineering, Rice University (1990) Diplom-Ingenieur, Electrical Engineering, Ruhr-University Bochum (1986) Research Interests: Communication systems, wireless networks, information theory, adaptive signal processing, and interference mitigation. His work emphasizes practical applications in telecommunications, such as synthetic diversity techniques and efficient receiver design. Awards: Fulbright Scholarship (1986) NSF Research Initiation Award (1993-1996) Teaching & Advising: Courses like ECE 630 (Statistical Communication Theory) reflect his expertise. He collaborates on grants focusing on spectrum sharing, adaptive interference rejection, and collaborative systems. His publications span signal processing algorithms, receiver design, and network optimization. Labs/Teams: Involved in interdisciplinary projects on wireless communication systems and IP geolocation, leveraging MATLAB and factor graph techniques for large-scale analysis.

Ashlee N. Ford Versyptمشاهده پروفایل

دانشیار

• Computational Science and Engineering
• Applied Mathematics
• Mathematical Biology
• +۱۷ مورد دیگر

Dr. Ashlee N. Ford Versypt is an Associate Professor in the Department of Chemical and Biological Engineering at the University at Buffalo (UB), State University of New York. Affiliated with the School of Engineering and Applied Sciences, she also serves as faculty member in the Department of Biomedical Engineering, Department of Engineering Education, and Institute for Artificial Intelligence and Data Science at UB. PhD in Chemical Engineering (2012, University of Illinois at Urbana-Champaign) MS in Chemical Engineering (2009, UIUC) BS in Chemical Engineering (2005, University of Oklahoma) Her research focuses on multiscale mathematical modeling of biological systems, particularly examining tissue remodeling and damage mechanisms in conditions like diabetic kidney disease, cancer metastasis, and lung fibrosis. She develops computational models to simulate drug delivery systems, pharmacokinetics, and cellular interactions in physiological microenvironments. Recent publications demonstrate expertise in pharmacokinetic modeling, extracellular matrix dynamics, and computational education tools. Key themes include diabetic kidney disease mechanisms , drug delivery optimization , agent-based tumor modeling , and computational pedagogy for STEM education. 2023 - William H. Corcoran Award (ASEE ChE Division) 2022 - David Himmelblau Award (AIChE CAST Division) 2021 - NSF CAREER Award 2020 - ASEE Chemical Engineering Division Chair 2019 - AIChE 35 Under 35 2013 - Frederick A. Howes Scholar (DOE CSGF) As director of UB's Systems Biomedicine and Pharmaceutics Laboratory, she receives funding from the National Science Foundation and National Institutes of Health to develop virtual organ models. Her educational initiatives include creating interactive coding templates for MATLAB/Python integration in engineering curricula and leading outreach programs for K-12 students and senior adults.

Hemant Purohitمشاهده پروفایل

استادیار

• Model-Based Engineering
• Digital Communication
• Mobile Communication
• +۳ مورد دیگر

Dr. Hemant Purohit is an Assistant Professor and Program Chair (Electrical and Computer Engineering) at the Florida Institute of Technology , affiliated with the College of Engineering and Science and the Department of Electrical Engineering and Computer Science . His expertise spans Model-Based Engineering, Mobile Communication, Digital Communication, and Microprocessors . He holds IEEE Senior Membership and active roles in IEEE Circuits and Systems Society, IEEE Communications Society, IEEE Systems Council, and IEEE Council on RFID. Dr. Purohit has over 19 years of teaching experience with students from diverse nationalities. He received the 2024 Faculty Excellence Award for Teaching at Florida Tech and the Best Teacher Award (three times) at JIET Jodhpur. His research focuses on optimizing communication networks, including Data Interleaving Techniques for resilient systems, RFID system optimization, and pandemic impact analysis on mobile networks. Notable contributions include work on Model-Based Systems Engineering (MBSE) for contingency planning in cellular networks, autonomous systems assurance , and genetic adaptation in fowl under climatic stress . His publications address challenges in wireless communication, network security, and environmental resilience. Grants and collaborations are not explicitly detailed in the text, but his active IEEE memberships suggest involvement in industry-academia partnerships. No lab or team affiliations are specified in the provided data.

Mohsen Sarrafمشاهده پروفایل

مدرس ارشد

• Wireless Communications
• Signal Processing
• Network Security
• +۲ مورد دیگر

Mohsen Sarraf is a Senior Lecturer and Visiting Assistant Professor in Electrical Engineering at the Tagliatela College of Engineering, University of New Haven. He holds a Ph.D. in Electrical Engineering from the University of Southern California, specializing in Computer Networks and Communications, along with M.S. and B.S. degrees from the same institution. His research focuses on wireless communications, signal processing, network security, multimedia systems, and embedded technologies. With extensive industry experience at Bell Labs and Telcordia, Sarraf possesses deep expertise in real-time system design, RF planning, and hardware implementation. Sarraf holds 22 US patents and 3 European patents covering innovations in OFDM transmission, error correction, watermarking, and wireless systems. His publications demonstrate consistent focus on optimizing network performance in wireless sensor networks, with recent work emphasizing collision detection algorithms, power efficiency, and IoT applications. He co-authored 'W-CDMA, cdma2000 and 3G Mobile Networks' (McGraw Hill, 2002), which was translated into Chinese. Professional skills include MATLAB simulation, C/C++ programming, RF planning, and project management.

Chris Cramerمشاهده پروفایل

استاد پژوهشی

• Seismology
• Tectonics
• Probabilistic Seismic Hazard and Risk Analysis
• +۳ مورد دیگر

Chris Cramer is a Research Professor at the Center for Earthquake Research and Information (CERI) at the University of Memphis. He holds a B.S. from the University of Puget Sound (1969) and M.S. and Ph.D. degrees from Stanford University (1973, 1976). His career spans 30 years with the California Division of Mines and Geology (now California Geological Survey) and the U.S. Geological Survey before joining CERI. Dr. Cramer’s research focuses on probabilistic seismic hazard analysis, strong ground motion effects, fault geometry visualization, and innovative educational tools using 3D printing and virtual reality (VR). He pioneered the creation of scaled 3D-printed models of California’s fault system to address public misconceptions and developed VR platforms to explore fault dynamics and rupture propagation. Recent projects include a New Zealand fault system model and immersive VR experiences for earthquake education. His articles emphasize the integration of advanced visualization technologies, such as VR and 3D printing, with geophysical research and educational outreach. Key themes include fault dip angle visualization, rupture front propagation analysis, and the application of these tools to subduction zones, geothermal areas, and historical earthquakes like the 2010 El Mayor-Cucapah event. Dr. Cramer has no listed scientific awards but has advised Vis Lab interns (e.g., Michael Methvin, Dianne Pham) who presented projects at AGU and SCEC meetings. His work extends to creating educational tools for K-12 audiences, such as the 2020 collaboration with Manila Junior-High robotics students. Labs/Teams: He leads the CERI Visualization Lab (founded 2019), focusing on geophysical VR/3D printing applications. The lab collaborates with institutions like UC Riverside and leverages facilities like the Creat’R Lab for printing. Ongoing projects aim to expand 3D printing to global fault systems and develop a 3-credit VR course for university education.

Tyler Ransomمشاهده پروفایل

دانشیار

• Labor Economics
• Economics of Education
• Urban Economics
• +۳ مورد دیگر

Tyler Ransom is an Associate Professor of Economics at the University of Oklahoma, affiliated with the Dodge Family College of Arts & Sciences. He is also a Research Fellow at the Institute for the Study of Labor (IZA) and a Fellow at the Global Labor Organization (GLO). He holds a PhD in Economics from Duke University (2015), specializing in dynamic models of human capital accumulation. Education: PhD in Economics, Duke University (2015) His research focuses on labor economics, education economics, urban economics, and machine learning applications. Recent work examines college admissions, educational inequality, and human capital development. He teaches econometrics, data science, and economics of education at OU, directing the Economics BA/MA Program. His articles span topics like college attrition, admissions policies, migration economics, and wage returns to education. Technical expertise includes proficiency in multiple programming languages (Matlab, Stata, R, Julia, Python) and advanced Japanese proficiency with knowledge of Korean and German. Awards: 2022 Irene Rothbaum Outstanding Assistant Professor Award (OU Dodge College) Roles: Associate Editor of Annals of Economics and Statistics and Economics of Education Review His research has influenced policy discussions, appearing in outlets like The New York Times and The Economist .

Keith Lidkeمشاهده پروفایل

استاد

• Atomic, Molecular, and Optical Physics
• Biophysics
• Fluorescence Imaging
• +۴ مورد دیگر

Keith Lidke is a Professor in the Department of Physics and Astronomy at the University of New Mexico (UNM). His research focuses on advancing fluorescence microscopy techniques to study cellular dynamics at molecular scales. Key areas include Atomic, Molecular, and Optical Physics and Biophysics , with a primary emphasis on Fluorescence Imaging , Single Particle Tracking , and Superresolution techniques for analyzing protein-protein interactions in living cells. Education: Dr. Lidke earned his PhD from the University of Minnesota in 2002. His lab develops technologies such as fluorescence superresolution , single-particle tracking , and high-speed hyperspectral microscopy to address biophysical questions about cellular structures and dynamics. Research highlights include creating MicroscopeControl.jl (Julia-based microscopy hardware control) and SMITE (Single Molecule Imaging Toolbox Extraordinaire in MATLAB). These tools enable precise imaging and analysis of molecular interactions in complex biological systems.

Paul S. Blaerمشاهده پروفایل

مدرس ارشد

• Robotics
• Motion Planning
• 3D Site Modeling
• +۲ مورد دیگر

Paul S. Blaer is a Senior Lecturer in Discipline at Columbia University's Computer Science Department, with adjunct roles in the Robotics Laboratory. He directs computing research facilities and teaches courses in data structures, robotics, and computer programming. His research develops autonomous systems for 3D site modeling and robotic navigation. Key projects include view planning algorithms for large-scale environments (e.g., Governors Island), hybrid topological localization using vision and WiFi, and educational tools for Java/MATLAB programming. His AVENUE robot platform enabled automated urban mapping. Teaching awards include the Columbia Engineering Alumni Distinguished Teaching Award (2018) and multiple Outstanding Teaching Assistant awards. Grants support robotics curriculum development and NSF-funded research in geometric computation.

Catherine Babeckiمشاهده پروفایل

پژوهشگر ارشد

• Combinatorics
• Discrete Geometry
• Optimization
• +۳ مورد دیگر

Catherine Babecki is an Olga Taussky and John Todd - Von Kármán Postdoctoral Scholar Teaching Fellow at the California Institute of Technology (Caltech), jointly affiliated with the Mathematics and Computing and Mathematical Sciences (CMS) departments. She is mentored by Venkat Chandrasekaran, Leonard Schulman (CMS), and David Conlon (Mathematics). Her PhD from the University of Washington (2023) was advised by Rekha Thomas. Her research focuses on combinatorics, discrete geometry, optimization, graph theory, spectral graph theory, and theoretical computer science. She develops MATLAB tools for computing graphical designs, hosted on her GitHub repository. Teaching includes courses like Math 2 (Differential Equations), Math 6b (Discrete Mathematics), and ACM 11 (Computer Science Fundamentals). Her software contributions include code for graphical design computations and a gallery of examples.

Yang Wangمشاهده پروفایل

استاد

• Structural Health Monitoring
• Wireless and Mobile Sensors
• Structural System Identification
• +۵ مورد دیگر

Dr. Yang Wang is a Professor in the School of Civil and Environmental Engineering at the Georgia Institute of Technology. His research focuses on structural health monitoring, wireless sensors, structural system identification, and decentralized control. He leads the Laboratory for Smart Structural Systems, developing technologies to enhance civil infrastructure resilience. Notable awards include the NSF CAREER Award (2012), AFOSR Young Investigator Award (2013), and the Achenbach Medal (2017). His work integrates wireless sensing and control systems for real-time infrastructure monitoring, validated through collaborations with institutions like National Taiwan University and KAIST. Key contributions include decentralized H∞ control frameworks and the Martlet wireless sensing system. Research spans structural dynamics, earthquake engineering, and smart cities. Over 50 peer-reviewed articles detail advancements in model updating, sensor networks, and robotic inspection. Awards include: NSF CAREER Award (2012) AFOSR Young Investigator Award (2013) Achenbach Medal (2017) His lab’s innovations include wireless sensor networks for bridges, ultrasonic thickness measurement robots, and open-source tools like the SMU MATLAB package for model updating. Active in editorial roles, he serves as Associate Editor for Structural Health Monitoring – an International Journal .

Scott Roweمشاهده پروفایل

استادیار

• Engineering Education
• Solar Thermal Technology
• Controls Engineering
• +۷ مورد دیگر

Scott Rowe is an Assistant Professor at the School of Engineering + Technology, part of the College of Engineering and Technology at Western Carolina University (WCU). He joined WCU in 2021, bringing expertise in concentrated solar power and controls engineering from the University of Colorado Boulder. His research focuses on developing accessible and cost-effective laboratory technologies for education, with a background in pilot plant construction, factory acceptance, and facility commissioning. He has also contributed to business ventures leveraging his technical skills in molecular biology, automation, process engineering, programming, optimization, separations, reaction kinetics, and model predictive control. Education: PhD, Chemical Engineering, University of Colorado at Boulder MS, Chemical Engineering, University of Colorado at Boulder BS, Chemical Engineering, University of Texas at Austin MS, Materials Science, University of California Berkeley Research Interests: Dr. Rowe’s work spans solar thermal systems, controls engineering, and educational technology. He explores innovative methods to integrate renewable energy with conventional utilities, optimize industrial processes through catalysis and mechanical milling, and enhance engineering education via automated grading frameworks. His research emphasizes practical applications, such as improving magnesium production via carbothermal reduction and developing tools for undergraduate PLC instruction. Publications Trends: His articles highlight advancements in solar-thermal processing, material recovery systems, and control strategies for transient thermal management. Recent work includes automated MATLAB grading frameworks and novel approaches to magnesium production. Awards & Grants: No awards or grants explicitly mentioned. Advising & Labs: No advising or lab affiliations listed in provided texts.

David Nicholsمشاهده پروفایل

استاد

• Visual Psychophysics
• Computational Modeling
• Cognitive Neuroscience
• +۳ مورد دیگر

David Nichols is a Professor in the Department of Psychology at Roanoke College, where he specializes in neuroscience, sensation and perception, and computational modeling. He holds a Ph.D. in Experimental Psychology from Florida Atlantic University (2006), complemented by M.A. and B.A. degrees from the same institution. His research employs psychophysical and neuroimaging methods to investigate visual perception, brain maturation, and EEG applications in education. Research Focus Dr. Nichols' work spans visual psychophysics (e.g., motion perception, interocular suppression), computational modeling of neural processes, and cognitive neuroscience applications in EEG and fMRI. His recent studies examine brain maturation patterns, Alzheimer's disease biomarkers, and methodological innovations in undergraduate neuroscience education. Publications frequently involve undergraduate collaborators, reflecting his commitment to the teacher-scholar model. Publication Trends His 15 most recent articles (2013-2025) demonstrate interdisciplinary work bridging neuroscience, psychology, and education. Dominant themes include neuroimaging validation studies (fMRI/EEG), perceptual mechanisms (motion, face, and accent processing), and pedagogical research on undergraduate neuroscience training. Methodological rigor and real-world applicability characterize his scholarly output. Academic Contributions Dr. Nichols develops curriculum resources for computational neuroscience and EEG methodologies, emphasizing hands-on MATLAB training. He mentors undergraduate researchers across projects ranging from brain wave analysis to dementia studies, though specific student names are not listed in available sources. No scientific awards or lab affiliations are documented in the provided materials.

Cleve Molerمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Science
• Linear Algebra
• +۳ مورد دیگر

Cleve Moler is the cofounder, chairman, and chief mathematician of MathWorks. He held academic positions as a professor of mathematics and computer science for approximately 20 years at the University of Michigan, Stanford University, and the University of New Mexico. In 1989, he joined MathWorks full-time, where he continues to focus on software development and numerical computing. Education: Bachelor’s Degree in Mathematics, Caltech (1961) PhD in Mathematics, Stanford University (1965) Moler’s research interests revolve around numerical analysis, computational science, and mathematical software. His work on matrix computation and algorithm design laid the foundation for MATLAB, a transformative tool in technical computing. His 2020 paper on the history of MATLAB highlights his contributions to programming languages and educational software. Scientific Awards: 2023 ICIAM Industry Prize 2017 Computer History Museum Fellow Award 2014 IEEE John von Neumann Medal 2012 IEEE Computer Society Computer Pioneer Award Sidney Fernbach Award Moler has mentored 16 PhD students, 11 of whom pursued academic careers. He is a member of the National Academy of Engineering and a former president of SIAM. His work includes co-authoring the LINPACK and EISPACK libraries and developing foundational textbooks such as Numerical Computing with MATLAB and Experiments with MATLAB .

Marinho Bertanhaمشاهده پروفایل

دانشیار

• Econometrics
• Causal Inference
• Applied Microeconomics
• +۵ مورد دیگر

Marinho Bertanha is a tenured Associate Professor of Economics at the University of Notre Dame, serving as concurrent faculty in Statistics and a faculty fellow at the Kellogg Institute. His academic work bridges econometrics and applied microeconomics with significant contributions to causal inference methodologies. His educational background includes a Ph.D. in Economics from Stanford University (2015), an M.A. from Fundação Getúlio Vargas in Rio de Janeiro (2009), and a B.A. from Universidade de São Paulo (2006). Prior to his current position, he completed postdoctoral work at the University of Louvain and served as a visiting professor at the University of Chicago. Bertanha's research focuses on causal inference , resampling methods , and policy evaluation , with particular expertise in regression discontinuity designs, bunching estimation, and permutation testing. His methodological innovations address critical challenges in econometric identification and statistical inference, especially in contexts with strategic reporting and imperfect compliance. His publication record shows consistent high-impact output in top journals including the Journal of the American Statistical Association , Journal of Econometrics , and Review of Economics and Statistics . Recent work demonstrates increasing focus on practical implementation through software development (Stata and MATLAB packages) that has become standard in empirical economics research. Through his concurrent appointment in Statistics and faculty fellowship at the Kellogg Institute, Bertanha contributes to interdisciplinary research initiatives focusing on economic policy evaluation and statistical methodology development. His current work-in-progress examines causal effects in matching mechanisms, returns to education with strategic reporting, and tax elasticity estimation across multiple countries.