جست‌وجوی استاد و پژوهشگر

Dieter Schrammمشاهده پروفایل

استاد

• Mechatronics
• Vehicle Technology
• Robotics
• +۵ مورد دیگر

Prof. Dr. Dieter Schramm is a Full Professor and Head of the Chair of Mechatronics at the University of Duisburg-Essen, part of the Faculty of Engineering. He leads the department focused on mechatronics applications in mobility and robotics, with research emphasizing vehicle technology (electro-mobility, driver assistance systems) and robotics (cable-driven systems). His academic career includes roles at Robert Bosch GmbH and Tyco Electronics before joining academia in 2004. He is also Director of the Center of Automotive Research (CAR) and holds leadership positions in industry and advisory boards. Education: Earned his PhD in Engineering from the University of Stuttgart (1986) after graduating in Mathematics (1981). His research spans over three decades, with contributions to mechatronics, including driver assistance systems, simulation, and automated transportation. He has been awarded an honorary doctorate from the University of Miskolc (2015). Research interests include vehicle dynamics, electro-mobility, robotics, and traffic flow analysis. His team develops technologies for autonomous vehicles, energy-efficient systems, and simulation tools. Notable projects include the Center of Automotive Research (CAR), involvement in fleet projects (ColognEmobil), and collaborations on cable-driven robots for construction. Scientific awards include the honorary doctorate from the University of Miskolc, highlighting his contributions to engineering and mobility. His work integrates interdisciplinary approaches across mechanical, electronic, and IT domains, addressing challenges in automotive, robotics, and sustainable transportation.

Andrew T. Duchowskiمشاهده پروفایل

استاد

• Visual Perception
• Human-Computer Interaction (HCI)
• Eye Tracking
• +۶ مورد دیگر

Andrew T. Duchowski is a Professor and Chair of the Visual Computing Division at Clemson University's School of Computing (part of the College of Engineering and Science). He holds a Ph.D. in Computer Science from Texas A&M University (1997) and a B.Sc. in Computer Science from Simon Fraser University (1990). His academic roles include service as Focus Area Chair at SIGGRAPH 2019 and Co-organizer of multiple workshops such as MobileHCI 2018 and ETRA 2018. His research focuses on eye tracking, visual perception, human-computer interaction, and computer graphics. Key areas include gaze analytics, virtual environments, and applications in healthcare, education, and cultural heritage. He has pioneered methodologies like the 'Gaze Analytics Pipeline' and authored Eye Tracking Methodology: Theory & Practice (Springer, 3rd ed., 2017). R&D interests span cognitive load measurement via pupil dynamics, ambient/focal attention modeling, and gaze-based interaction design. His work bridges computer science with fields like spatial cognition and neuroergonomics. Recent projects include studies on attention in VR, neurocognitive biomarkers, and sustainable cultural landscape management. Awarded multiple honors including the NSF CAREER Award (2000-2003) and Clemson's Faculty Excellence Award (2001), Duchowski has authored over 150 peer-reviewed papers. He led educational initiatives such as the 'Groovy Graphics Assignments' for SIGGRAPH and co-organized global conferences like ETRA and EuroGraphics. His service includes editorial roles in journals like Transactions on Applied Perception and reviewing for NIH, NSF, and international universities.

Kaveh Arjomandiمشاهده پروفایل

استاد

• Structural Health Monitoring
• Bridge Engineering
• Digital Twinning
• +۲ مورد دیگر

Kaveh Arjomandi is Professor and Director of Graduate Studies in Civil Engineering at the University of New Brunswick, specializing in structural engineering and infrastructure monitoring. His research develops advanced methods for structural health assessment, including bridge weigh-in-motion technologies and digital twin applications. Dr. Arjomandi teaches courses in structural analysis, bridge engineering, and operational modal analysis. His work integrates experimental testing with computational models to improve infrastructure resilience and safety assessment protocols.

• Nonlinear optimization
• Stochastic approximation
• Algorithm design for big data analytics
• +۳ مورد دیگر

Yuyuan Ouyang is an Associate Professor in the Department of Mathematical and Statistical Sciences at Clemson University. He holds a Ph.D. in Mathematics from the University of Florida (2013). His research focuses on nonlinear optimization, stochastic approximation, and algorithm design for big data analytics. His work bridges theoretical foundations with practical applications in machine learning, network flow programming, and convex optimization. Dr. Ouyang teaches advanced courses including Machine Learning I/II, Network Flow Programming, and Nonlinear Programming. His recent publications emphasize gradient sliding methods, decentralized optimization, and saddle-point problem analysis. He has contributed to SIAM Journal on Optimization, Mathematical Programming, and Operations Research Letters. His research trends show a strong emphasis on algorithmic innovation for large-scale systems, with notable work on complexity bounds, convex reformulations, and statistical estimation techniques. He has collaborated widely on topics ranging from variational inequalities to MRI image reconstruction.

Kyle Mitchellمشاهده پروفایل

استاد

• Power Computer Modeling and Design
• Aircraft Flight Monitoring
• Civil Infrastructure Monitoring
• +۳ مورد دیگر

Kyle Mitchell, Ph.D. is a Professor and Associate Department Chair in the Department of Electrical and Computer Engineering at Saint Louis University's School of Science and Engineering. He holds a Ph.D., M.S., and B.S. in Computer/ Electrical Engineering from the University of Missouri-Rolla. Ph.D. in Computer Engineering, University of Missouri - Rolla M.S. in Electrical Engineering, University of Missouri-Rolla B.S. in Electrical Engineering, University of Missouri-Rolla His research focuses on power computer modeling, aircraft flight monitoring systems, and civil infrastructure diagnostics. His work integrates advanced technologies like neural networks and wireless sensor systems for structural health monitoring. Publications span aerospace education methodologies, composite material diagnostics, and wireless data acquisition innovations. Mitchell leads the Center for Sensors & Sensor Systems (CSSS) lab, emphasizing applied engineering solutions for real-world challenges.

Levente Kovácsمشاهده پروفایل

استاد

• Control Systems Engineering
• Medical Informatics
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Levente Kovács is a Professor at Obuda University, recognized for contributions in control systems, medical informatics, and robotics. He has been honored as an Honorary Doctor by Bratislava’s STU and ranks among the most cited researchers at Obuda University. His work spans interdisciplinary fields including cybersecurity, biomedical engineering, and artificial intelligence. Research Interests: Prof. Kovács focuses on control systems engineering, medical image analysis (e.g., brain tumor segmentation), and the application of machine learning in healthcare. He also explores robotics, cybersecurity for medical devices, and economic aspects of financial literacy. Awards & Recognition: 2024: Honorary Doctorate from Slovak University of Technology (STU) 2021: Most Cited Researcher at Obuda University Key Contributions: He organizes conferences like the Symposium on Fuzzy-based Engineering Systems and participates in IEEE/IFAC events. His research addresses challenges in diabetes management, tumor modeling, and autonomous systems. He advocates for cybersecurity in smart devices and financial literacy education.

Shantia Yarahmadianمشاهده پروفایل

دانشیار

• Mathematical Biology
• Partial Differential Equations
• Alzheimer's Disease Modeling
• +۲ مورد دیگر

Shantia Yarahmadian is an Associate Professor of Mathematics at Mississippi State University. He holds a Ph.D. in Applied Mathematics from Indiana University and conducts interdisciplinary research combining mathematics with biology and engineering. His primary research focuses on: Mathematical modeling of Alzheimer's disease progression Cancer treatment optimization for radiotherapy Stochastic processes in biological systems Wavelet-based signal processing methods Recent work includes computational models for amyloid-beta aggregation in Alzheimer's disease, optimization frameworks for radiation therapy, and novel wavelet algorithms for signal reconstruction. His laboratory develops mathematical tools to address complex biological problems and engineering challenges. Yarahmadian maintains active collaborations across engineering, computer science, and physics departments. His research portfolio includes stochastic modeling of neurodegenerative processes, quantum-resistant cryptography, and computational methods for partial differential equations.

• Image Processing
• Wavelet Transform
• SAR Imaging
• +۲ مورد دیگر

Dr. Haixia Bi is a Post-Doctoral Research Fellow in Electronics, Computing and Mathematics at the University of Derby. Her research develops advanced computational methods for image processing, big data analytics, and educational technology. Bi specializes in polarimetric SAR image segmentation using 3D wavelet transforms and Markov models. Additional work examines Docker-based e-learning systems and geospatial data frameworks. Her publications address renewable energy modeling and visualization challenges in earth observation data.

Kasso Okoudjouمشاهده پروفایل

استاد

• Time-frequency analysis
• Pure harmonic analysis
• Applied harmonic analysis
• +۷ مورد دیگر

Kasso Okoudjou is a Professor and Chair of the Department of Mathematics at Tufts University. His academic career spans both pure and applied mathematics with a focus on harmonic analysis and its applications. Education: PhD, Mathematics, Georgia Institute of Technology, 2003 MS, Electrical Engineering, Georgia Institute of Technology, 2003 Maîtrise es Sciences Mathematiques, National University of Benin, 1996 Professor Okoudjou's research interests lie in pure, applied and computational harmonic analysis, especially wavelet analysis, frame theory, and time-frequency analysis of pseudo-differential equations. He is also deeply interested in spectral analysis on fractals and graphs and their applications to data sciences. More recently, he has developed growing interests in mathematics education, particularly in active learning methods for lower-level math courses and broadening participation of underrepresented minorities in undergraduate research in mathematical sciences. His recent publications demonstrate a strong focus on frame theory on graphs, spectral decimation techniques, quantum walks, and time-frequency analysis. The research trends show an increasing integration of fractal analysis with graph theory and quantum information science, while maintaining strong foundations in classical harmonic analysis. Scientific Recognition: Principal Investigator for National Science Foundation grants DMS-2205771 and DMS-2309652 Co-organizer of the 2020 Gene Golub SIAM Summer School (held in 2021 at AIMS South Africa) Author of the book "Modulation Spaces: With Applications to Pseudodifferential Operators and Nonlinear Schrodinger Equations" (2020) Professor Okoudjou has advised numerous PhD students including Martin Buck, Shuang Guan, Matthew Hirn, Clare Wickman, Matt Begué, Chae Clark, Ganiou Atindéou, and Shujie Kang. He has also mentored postdocs such as Jens Christensen, Xuemei Chen, Divyang Bhimani, Gamal Mograby, and Christopher Dock. His teaching portfolio includes advanced courses like Real Analysis, Functional Analysis, and Point Set Topology. He leads two main research groups: one focused on frame theory in finite-dimensional Euclidean spaces, and another developing calculus on fractals such as the Sierpinski triangle.

Deguang Hanمشاهده پروفایل

استاد

• Functional Analysis
• Operator Algebras
• Frame Theory
• +۷ مورد دیگر

Dr. Deguang Han is a Professor in the Department of Mathematics at the University of Central Florida (UCF), part of the College of Sciences. His research focuses on Functional Analysis, Operator Algebras, Frame Theory, and Applied Harmonic Analysis, with applications to quantum information and signal/image processing. He holds editorial roles at journals such as the Banach Journal of Mathematical Analysis and Operators and Matrices . His work bridges pure and applied mathematics, addressing theoretical questions in operator theory while developing practical tools for signal reconstruction and quantum channel analysis. Notable contributions include advancements in phase retrieval, operator-valued frames, and harmonic analysis on fractals. Recent research trends emphasize quantum channel applications, phase retrieval uniqueness, and dilation theory for operator-valued measures. His publications reflect a commitment to both foundational theory and real-world signal processing challenges. Dr. Han collaborates internationally and is actively involved in the academic community through editorial work and conference participation.

Hanif Chaudhryمشاهده پروفایل

استاد

• Water Resource Engineering
• Hydraulic Modeling
• Fluid Transients
• +۵ مورد دیگر

Hanif Chaudhry is a distinguished academic and administrator at the Molinaroli College of Engineering and Computing , University of South Carolina , serving as the Director of the Engineering Management Program and Associate Dean for International Programs in the Department of Civil and Environmental Engineering . With a career spanning over five decades, his expertise lies in water resource engineering , focusing on hydraulic modeling, flood dynamics, and infrastructure safety. Education : PhD in Hydraulic Engineering (1970) and M.A.Sc (1968) from the University of British Columbia; B.Sc. in Civil Engineering (1965) from the University of Engineering and Technology, Lahore. Dr. Chaudhry’s research emphasizes numerical and experimental investigations of fluid transients in pipelines, flood flows in rivers, levee breaches, dam failures, and scour around bridge piers. His work bridges theoretical modeling with practical solutions for hydraulic infrastructure resilience . Recent publications highlight interdisciplinary applications of hydraulic transients in pipeline systems, dam-break flow simulations , and seepage analysis in earthen structures. His methodology integrates finite-difference techniques , wavelet-Galerkin solutions , and turbulence modeling across diverse fluid dynamics problems. As an academic leader, Dr. Chaudhry has mentored students such as Ali Asghari Tabrizi (B.S., 2016) and contributed extensively to hydraulic engineering education through textbooks, case studies, and computational tools.

Theo Bergerمشاهده پروفایل

استاد

• Financial Econometrics
• Forecasting
• Wavelet Analysis

Prof. Dr. Theo Berger is Professor of Statistics and Data Analytics at Harz University and Privatdozent at University of Bremen. Ranked among Germany's Top 100 Economics researchers under 40 (Handelsblatt/Wirtschaftswoche 2019), his work centers on financial econometrics, forecasting, and wavelet analysis. He has published in Journal of Risk, Quantitative Finance, and Energy Economics, with research funded by NIH and EU agencies. His studies analyze volatility spillovers in supply chains, covariance regimes in portfolio management, and commodity risk assessment. Teaching includes econometrics and data science courses at Bremen and international institutions. Conference engagements span operations research, financial econometrics, and risk management forums globally.

• Electronics
• Integrated Circuit Design
• Analog Circuits
• +۵ مورد دیگر

Marcello De Matteis serves as Associate Professor in the Department of Physics at the University of Milano-Bicocca, Italy, specializing in Application-Specific Integrated Circuit (ASIC) design for medical physics, high-energy experiments, and sensor systems. With over 35 ASICs developed since 2005—including principal design of 20+ chips across 0.5μm CMOS to 16nm FinFET technologies—he bridges electronics engineering with clinical applications in proton therapy and neuroscience. His educational background features a double degree from the Top Industrial Managers for Europe (TIME) program: Industrial Engineering, Polytechnic University of Madrid (2003) Electronic Engineering, Polytechnic University of Milan (2004) Research focuses on radiation-hardened analog circuits for particle detectors (ATLAS Muon Drift Tubes), proton therapy instrumentation (Proton Sound Detector project), and neuromorphic biosensors using neuron-electronic junctions. His work emphasizes low-power, high-precision front-ends for ionoacoustic imaging, with recent publications targeting FLASH radiotherapy monitoring and quantum computing interfaces. Analysis of his 15 most recent publications reveals dominant trends in medical physics instrumentation (70% of works), particularly ionoacoustic dosimetry for proton beam therapy, alongside growing contributions to neuromorphic engineering (20%) and radiation-hardened design (10%). All leverage advanced CMOS/FinFET nodes (28nm–12nm) to address noise, power, and radiation tolerance challenges in clinical and space applications. Key career recognition includes: Italian National Scientific Qualification for Full Professor (Electronics, 2020) Technical Program Committee roles for IEEE ESSCIRC, PRIME, and ICICDT conferences Associate Editor for Journal of Circuits, Systems and Computers (World Scientific) As Principal Investigator for INFN-funded projects since 2018, he coordinates multi-institutional teams across Italy and Germany on proton therapy instrumentation. His grant portfolio includes: Proton Sound Detector (INFN): 4-unit collaboration (Milano-Bicocca, CNAO, LMU Munich, INFN Catania) for real-time Bragg peak localization ScalTech28/FinFet16 (INFN): Rad-hard ASIC design in 28nm/16nm for high-luminosity LHC upgrades SAFIR GEM (2022): Submarine acoustic monitoring infrastructure funded by University of Milano-Bicocca Current leadership spans two research streams: CMOS 28nm biosensors for neuron-electronic interfaces and proton sound detectors for hadron therapy. Previously, he directed MEMS sensor development at University of Salento (2008–2012) and served as technical lead for ATLAS Muon Drift Tube ASICs. His industry collaborations include Infineon, IMEC, and STMicroelectronics, with recent work integrating PVDF ultrasound arrays for melanoma diagnosis and FinFET neurons for neuromorphic computing.

B. Cooper Bonieceمشاهده پروفایل

استادیار

• Mathematical Statistics
• Applied Probability
• Time Series
• +۴ مورد دیگر

B. Cooper Boniece serves as an Assistant Professor in the Department of Mathematics at Drexel University, commencing his appointment in Fall 2023 after holding postdoctoral positions at Washington University in St. Louis and the University of Utah. His educational background includes a PhD in Mathematics from Tulane University (2019). Dr. Boniece's research program centers on Mathematical Statistics and Applied Probability, with specialized focus on Time Series Analysis, High-Frequency Data modeling, and Change-Point Detection methodologies. His work integrates Wavelet Methods and advanced analysis of Fractional/Self-Similar Stochastic Processes to develop statistical inference frameworks for high-dimensional temporal data. Current research emphasizes estimation techniques, hypothesis testing protocols, and computational approaches for complex time series structures.

Kamran Pedramمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Ultrasonic Testing
• Non-Destructive Evaluation
• +۲ مورد دیگر

Dr. Kamran Pedram is a Senior Lecturer in Electrical and Electronic Engineering (Physical Layer and Telecommunications Security) at the University of Greenwich's School of Engineering. With expertise in signal processing and non-destructive testing, he develops advanced techniques for ultrasonic inspection and telecommunications security. His qualifications include a BSc in Electrical Engineering, MSc in Data Communication Systems, PhD in Time-Frequency Analysis, and PGCert in Higher Education. He is a Chartered Engineer and holds memberships with IEEE and IET. Research focuses on signal processing applications including guided wave testing enhancement, industrial inspection algorithms, and telecommunications security. Recent publications demonstrate evolution toward intelligent transportation systems and deep learning applications. Dr. Pedram has contributed to multiple Innovate UK and EU research projects, authoring over 50 publications and technical reports.