Find Academic Supervisors

• Intelligent Transportation Systems
• Vehicular Networks
• Internet of Things
• +3 more

Alexey Vinel serves as a Professor at Halmstad University's School of Information Technology, specializing in cutting-edge research at the intersection of transportation systems and communication technologies. His academic profile demonstrates deep engagement with intelligent mobility solutions through extensive publications and editorial contributions, including founding the open-access journal Network . Professor Vinel's research spans Intelligent Transportation Systems, Vehicular Networks, Internet of Things, Smart Cities, and Robotics with particular focus on safety-critical applications. His work addresses fundamental challenges in V2X communications, data sharing architectures, and ethical frameworks for autonomous systems. Recent investigations examine robot self-defense ethics, cooperative driving algorithms, and multi-modal crash prediction systems that integrate sensor fusion with social robotics. Analysis of his 15 most recent publications reveals a pronounced shift toward human-centered autonomous systems, where technical innovations in network protocols and data processing are increasingly coupled with ethical considerations and human factors research. His current work emphasizes real-world implementation challenges in mixed traffic environments, particularly regarding vulnerable road user protection and cross-cultural acceptance of robotic traffic management systems. The research shows strong interdisciplinary connections between computer science, transportation engineering, and social robotics. As an active academic contributor, Professor Vinel has supervised numerous graduate students through projects like the CAR Approach for Master's students in autonomous platooning. His research has attracted significant funding for projects involving V2X collective perception, emergency vehicle preemption systems, and UAV integration into intelligent transportation infrastructures. He maintains strong industry partnerships through Halmstad University's focus on Smart Cities and Communities.

Coşar GÖZÜKIRMIZIView profile

Assistant Professor

• Numerical Analysis
• Computational Mathematics
• Probabilistic Evolution Theory
• +3 more

Coşar GÖZÜKIRMIZI is an Assistant Professor in the Department of Computer Engineering at Beykent University's Faculty of Engineering and Architecture. He has been serving at Beykent University since 2016 as a Doctor Lecturer and previously worked as a Research Assistant at Istanbul Technical University's Institute of Information from 2014. His research focuses on probabilistic evolution theory, numerical methods for ordinary differential equations, and multivariate analysis. His work particularly emphasizes: Probabilistic evolution approaches to ODE systems Fluctuation expansion techniques Numerical integration methods Enhanced Multivariance Products Representation Telescope matrices and space extension techniques Dr. GÖZÜKIRMIZI's publication record shows consistent theoretical development from foundational numerical integration techniques (2008-2012) to sophisticated probabilistic evolution frameworks (2015-2025). His recent work has concentrated on probabilistic evolution theory for explicit autonomous ordinary differential equations, with particular attention to squarified telescope matrices and optimal space extension. His research demonstrates strong theoretical foundations combined with practical numerical implementations, primarily published in international computational mathematics conferences. Dr. GÖZÜKIRMIZI maintains an active research profile with publications spanning from 2008 to 2025. He frequently collaborates with Metin Demiralp (on most publications), Melike Ebru Kirkın, and Elif Tataroğlu. His work bridges theoretical mathematics with computational applications, particularly in solving complex differential equation systems through innovative probabilistic approaches.

Satyanand SinghView profile

Professor

• Number Theory
• Quantum Computing
• Probability
• +3 more

Dr. Satyanand Singh is a Professor in the Department of Mathematics at New York City College of Technology, City University of New York (CUNY), where he has established himself as a leading educator and researcher. His academic journey began with an Honors B.S. in Mathematics from City College of CUNY, followed by an M.Phil. and Ph.D. in Mathematics from the CUNY Graduate Center. His educational foundation includes: Ph.D. in Mathematics, City University of New York Graduate Center M.Phil. in Mathematics, City University of New York Graduate Center Honors B.S. in Mathematics, City College of the City University of New York Dr. Singh's research spans number theory, quantum computing, probability, and statistics, with significant contributions to combinatorial structures like Calkin-Wilf trees and linear fractional transformations. His recent work demonstrates a strong interdisciplinary focus, bridging mathematics with finance, computational education, and digital technology. He has pioneered the integration of R and Python into mathematics pedagogy, developing innovative approaches for teaching differential equations and computational thinking. Analysis of his publications reveals an evolving trajectory from pure number theory toward applied computational mathematics, with increasing emphasis on real-world applications in finance and educational technology. His work consistently connects theoretical mathematics with practical implementation, particularly in STEM education reform. Among his distinguished honors: Distinguished Teaching Award from the Mathematics Association of America (2017) Salute to Scholars Special Issue listing (2016) Chancellor's Major Institutional Grant for Education and Public Service (2015) Chancellor's honor for inaugural Calculus 1 Boot Camp (2015) National Society of Collegiate Scholars Award (2014) Stefan Bernard Baumrin travel award (2019) Integers Conference travel grant (2018) Dr. Singh has mentored numerous students who have presented at national conferences and pursued advanced degrees. His substantial grant portfolio includes serving as PI for the Perkins Grant Mathematics and Computer Science program (2010-2019), Co-PI for a National Endowment for the Humanities grant on digital technology history (2016-2018), and Senior Personnel for a Department of Education MSEIP grant focused on diversity in computer science (2015-2019). These projects reflect his commitment to educational innovation and broadening participation in STEM. As an active leader, he serves as Chair Elect of the Metro NY Mathematical Association of America Section and as Trustee and Vice Chair of the Belle Zeller Scholarship Fund. His institutional impact includes founding the Calculus 1 Boot Camp and developing computational projects that integrate R programming into undergraduate mathematics curricula across multiple course levels.

Peter Reinhard HansenView profile

Professor

• Econometrics
• Volatility Modeling
• Forecasting
• +5 more

Peter Reinhard Hansen is the Latané Distinguished Professor of Economics at the University of North Carolina, Chapel Hill. He holds a M.Sc in Mathematics and Economics from University of Copenhagen and a Ph.D. in Economics from University of California, San Diego. Previously, he held academic positions at Brown University, Stanford University, and the European University Institute in Florence, Italy. His research focuses on econometrics, volatility modeling, and forecasting. Hansen is a leading researcher on forecasting and volatility modeling with major contributions including a new parameterization of correlation matrices, the Test for Superior Predictability, the Model Confidence Set, the Realized Kernel Estimator, and the Realized GARCH framework which won the Richard Stone Prize in Applied Econometrics. His work bridges theoretical econometrics with practical financial applications, particularly in developing methods for analyzing high-frequency financial data and volatility measures. Hansen's recent publications (2022-2025) demonstrate continued innovation in financial econometrics, with significant contributions to correlation modeling, multivariate GARCH frameworks, realized measures, and option pricing. His research spans traditional financial markets and extends to emerging areas like cryptocurrency volatility. Notably, he has also applied econometric methods to epidemiological problems, as evidenced by his 2022 paper on SARS-CoV-2 variant transmission dynamics. Hansen has received significant recognition for his work, including the Richard Stone Prize in Applied Econometrics and inclusion in Thomson Reuters/Clarivate's list of the World's Most Influential Scientific Minds four times. Richard Stone Prize in Applied Econometrics Thomson Reuters/Clarivate's list of the World's Most Influential Scientific Minds (4 times) Professor Hansen maintains active research collaborations with scholars including Chen Tong, Ilya Archakov, Yiyao Luo, and Asger Lunde. His current projects focus on new parametrizations of correlation matrices, asset pricing with time-varying pricing kernels, multivariate heavy-tailed distributions, robust correlations, and admissible tests for factor structures in high-dimensional covariance matrices. While specific grant information isn't provided in the text, his extensive publication record across top econometrics and finance journals suggests substantial research funding support. Hansen's work has established him as a leading figure in financial econometrics, with his Realized GARCH framework representing a major contribution to volatility modeling that has influenced both academic research and industry practice. His methodological innovations continue to shape how researchers analyze financial time series and volatility measures.

Ken K.-C. YeungView profile

Associate Professor

• Analytical Chemistry
• Mass Spectrometry
• Neurochemistry
• +3 more

Ken K.-C. Yeung is an Associate Professor in the Department of Chemistry and Biochemistry at Western University, where he also serves as Assistant Dean (Academic) for the Faculty of Science. His research laboratory focuses on advanced mass spectrometry techniques, particularly MALDI-MS imaging, to study neurochemical distributions in brain tissues and their implications in neurodegenerative disorders and drug responses. Dr. Yeung maintains active collaborations with the Schulich School of Medicine & Dentistry and Agriculture and Agri-Foods Canada. Education: B.Sc. and Ph.D. from the University of Calgary; NSERC Postdoctoral Fellow at Stanford University and University of Alberta. Research Focus: Development of novel MALDI-MS methodologies for spatial mapping of lipids, neurotransmitters, and metabolites in neurological tissues Investigating cannabinoid-induced neurochemical changes and their relationship to cognitive dysfunction Collaborative projects on mycotoxin detection in agricultural systems and biomass conversion for sustainable materials Publication Trends: Dr. Yeung's recent work (2017-2024) demonstrates strong emphasis on neurochemical imaging advancements, cannabinoid neuropharmacology, and environmental applications of mass spectrometry. His team consistently develops innovative analytical approaches for complex biological and environmental matrices. Student Advising: Dr. Yeung mentors a large cohort of graduate and undergraduate researchers. His laboratory has trained over 50 graduate students and 40+ undergraduate thesis students since 2001, with current projects spanning analytical method development, neurochemistry, and environmental analysis. Laboratories & Facilities: The Yeung Lab operates within the Siebens-Drake Research Institute (Room G31) and manages Western University's MALDI Mass Spectrometry Facility, supporting campus-wide research in biomolecular analysis.

• Agricultural Chemistry
• Food Science
• Dietary Fiber Research
• +3 more

Dr. Maria Concepcion Martinez Madrid is a Professor in the Department of Agrochemistry and Environment at the Miguel Hernández University of Elche , where she teaches courses in Food Science and Technology. She has coordinated subjects like Chemistry I , Food Chemical Analysis , and Methodological Tools for Research in the Bachelor's and Master's programs, respectively. Research Focus: Agricultural chemistry, food science, and sustainable valorization of plant by-products Key Techniques: Hypobaric and ultrasonic processing, metabolomic profiling Applications: Functional beverages, microbial health, antioxidant development Her work emphasizes persimmon (Diospyros kaki) and olive leaf by-products to develop dietary fiber, antioxidants, and anti-virulence compounds. She explores polyphenolic interactions with gut microbiota and investigates Cannabis chemotyping for accurate classification. Her affiliations include the Institute of Research, Development and Innovation in Healthcare Biotechnology of Elche and the University Senate .

• Food Technology
• Food Science
• Food Chemistry
• +3 more

Saura Lopez Domingo is an Associate Professor in the Department of Agro-Food Technology at Miguel Hernández University of Elche, based at the Orihuela campus (Crta. de Beniel, Km. 3.2) and affiliated with the Institute of Research, Development and Innovation in Healthcare Biotechnology of Elche (IDIBE). Her office (D0.04) and contact details include email dsa@umh.es and phone +34 609675160. Her research expertise spans food technology with emphasis on fruit processing, extraction methodologies, and beverage science. Key interests include valorization of agricultural by-products (persimmon, citrus, olive), ultrasound/vacuum-assisted extraction, dietary fiber applications, and beverage formulation for wines/vinegars. She investigates bioactive compounds, enzyme interactions, and sustainable processing techniques to enhance food functionality and quality. Analysis of her 1992-2025 publications reveals consistent innovation in food engineering, particularly in membrane filtration, response surface optimization, and characterization of plant-derived compounds. Recent work focuses on persimmon-microorganism synergies and olive leaf extraction, while earlier studies established foundational methods for pectic analysis and aroma recovery. Her research bridges food chemistry with practical applications in functional foods and beverage technology. She actively contributes to IDIBE's biotechnology research ecosystem and teaches core courses including Food Analysis, Additives and Packaging, and Viticulture/Enology programs. Her teaching spans Bachelor's degrees in Agro-Food Engineering and Food Science, Master's in Viticulture and Enology, and the Doctorate in Health Biotechnology, with consistent course coordination since 2023.

• Mechanics of Deformable Solids
• Mathematical Modeling
• Economics
• +3 more

Tetyana Ihorivna Levitska is an Associate Professor in the Department of Applied Mathematics at Zaporizhzhia Polytechnic National University. With over 25 years of academic experience since 1999, she specializes in mechanics of deformable solids and mathematical modeling in economics. Her expertise spans both theoretical and applied mathematics with significant contributions to engineering applications. Her educational background includes: Bachelor's and Master's in Applied Mathematics from Zaporizhia State University (1994) Candidate of Technical Sciences (PhD equivalent) in Mechanics of Deformable Solids (2000) Professor Levitska's research focuses on the mechanics of deformable solids, particularly stress-strain analysis of shells and composite structures, and mathematical modeling in economics. Her work bridges theoretical mathematics with practical engineering applications, especially in aerospace engineering and economic systems modeling. She has developed innovative approaches to fuzzy logic applications in economic modeling and has contributed significantly to understanding complex shell structures under various loading conditions. Her recent publications demonstrate a strong trend toward interdisciplinary research, combining mechanical engineering principles with computational mathematics. The majority of her work centers on stress-strain analysis of aircraft components, composite materials, and shells of rotation, while also exploring applications of fuzzy logic in economic modeling and migration phenomena. Professor Levitska teaches Higher Mathematics, Probability Theory and Mathematical Statistics, Discrete Mathematics, and Higher and Applied Mathematics to undergraduate and graduate students. Her teaching approach integrates theoretical foundations with practical applications, preparing students for both academic and industry careers.

• Chemical Education
• Inorganic Chemistry
• Radiochemistry
• +3 more

Eric Eitrheim serves as an Associate Professor within the Chemistry Department at the University of Central Oklahoma, where he has taught undergraduate courses including General Chemistry, Environmental Chemistry, and Inorganic Chemistry since joining the faculty in August 2017. His instructional responsibilities encompass both lecture and laboratory components across foundational and specialized chemistry curricula. His academic credentials include a Ph.D. in Chemistry from The University of Iowa (2017) and a B.A. in Chemistry from Luther College (2012), establishing expertise in both theoretical and applied chemical sciences. These qualifications underpin his dual research focus on chemical education and radiochemistry. Dr. Eitrheim's research program investigates undergraduate chemistry learning experiences with particular emphasis on laboratory safety pedagogy and student success factors in general chemistry. Concurrently, his radiochemistry work addresses environmental radioactivity challenges, especially concerning Naturally Occurring Radioactive Materials (NORM) associated with unconventional energy extraction and nuclear waste streams. This interdisciplinary approach connects classroom instruction with real-world environmental and nuclear safety issues through publications spanning chemistry education journals and environmental radiochemistry outlets. Analysis of his 15 most recent publications reveals a consistent trajectory toward interdisciplinary collaboration, with increasing focus on practical applications in nuclear waste management, energy sector environmental monitoring, and chemistry curriculum innovation. The work demonstrates strong integration of educational scholarship with technical radiochemistry research, often involving multi-institutional teams addressing complex challenges in nuclear materials analysis and chemical safety. His scholarly contributions have received significant recognition: UCO CETTL 21st Century Pedagogy Institute Lifetime Teacher-Scholar (2021) UCO CETTL 21st Century Pedagogy Institute Distinguished Teacher-Scholar (2019-2021) UCO CETTL 21st Century Pedagogy Institute Teacher-Scholar (2018) VIPEr Fellowship funded by NSF IUSE grant (2018-2020) Dr. Eitrheim's research activities are supported by external funding including the VIPEr Fellowship from the National Science Foundation, which advanced innovations in chemistry education methodology. His collaborative publication record indicates active mentorship of undergraduate researchers and participation in multi-institutional projects, though specific student advising details are not documented in available materials. His radiochemistry work implies access to specialized instrumentation for nuclear materials analysis within UCO's chemistry infrastructure or through partner institutions.

Robert FrankowskiView profile

Researcher

• Environmental monitoring
• Chromatographic methods
• Analysis of bioactive compounds
• +3 more

Dr. Robert Frankowski is a researcher at the Department of General and Analytical Chemistry within the Faculty of Chemical Technology at Poznan University of Technology. He earned his PhD in chemical sciences in 2021 and has been actively contributing to environmental chemistry research, particularly in the areas of water pollution analysis and biodegradation processes. Education: B.Eng. in Chemical Technology (2015), M.Sc.Eng. in Composites and Nanomaterials (2016) Position: Assistant at the Department of General and Analytical Chemistry (2020-present) Specialization: Environmental monitoring, Chromatographic methods, Analysis of bioactive compounds Dr. Frankowski's research focuses on environmental monitoring with particular emphasis on the determination of endocrine-disrupting compounds in water systems. His work spans multiple analytical approaches including chromatographic methods for detecting bisphenols, parabens, and other contaminants in surface waters and consumer products. He has conducted significant research on biodegradation processes for removing environmental pollutants, particularly focusing on bisphenols and their substitutes. His laboratory work extends to the analysis of bioactive compounds in various beverages including tea, coffee, and herbal infusions, examining how processing methods affect their chemical composition. An analysis of Dr. Frankowski's recent publications reveals a strong trend toward environmental analytical chemistry with increasing focus on emerging contaminants. His work covers a broad spectrum from fundamental analytical method development to applied environmental monitoring and risk assessment. The research areas include water pollution analysis (particularly pharmaceuticals and personal care products), biodegradation processes, microplastic interactions with contaminants, and food safety analysis related to beverage preparation methods. Dr. Frankowski has contributed to numerous collaborative research projects, often working with colleagues from the same department and other institutions. His research has been published in reputable journals including Journal of Environmental Management, Science of the Total Environment, and Journal of Food Composition and Analysis, demonstrating the interdisciplinary nature of his work that bridges environmental science, analytical chemistry, and food safety. He is actively involved in teaching, conducting calculation exercises in General and Inorganic Chemistry as well as laboratory classes in General and Inorganic Chemistry, Analytical Chemistry, and Instrumental Analysis. His teaching responsibilities reflect his expertise in both fundamental chemical principles and advanced analytical techniques.

Amit MitraView profile

Professor

• Statistical Signal Processing
• Time Series Analysis
• Financial Econometrics
• +3 more

Amit Mitra is a Professor in the Department of Mathematics & Statistics at the Indian Institute of Technology Kanpur (IIT Kanpur), India. He has held academic positions at IIT Kanpur since 2005, progressing from Assistant Professor (2005-2007) to Associate Professor (2008-2012) and Professor (2012-present). Prior to this, he served as an Assistant Professor at IIT Bombay (2002-2005) and held research roles at the Reserve Bank of India (1996-2002). His international collaborations include visiting positions at Uppsala University (Sweden) and universities in Australia and Cyprus. His educational qualifications include: Ph.D. in Statistics from IIT Kanpur (1996) M.Sc. in Statistics from IIT Kanpur (1991) B.Sc. (Honors) in Statistics from the University of Calcutta (1988) Professor Mitra's research centers on statistical signal processing with emphasis on parameter estimation for nonlinear time series models, particularly chirp signals, and data mining of financial/economic time series. His work develops robust algorithms for signal model estimation using techniques like genetic algorithms, M-estimators, and wavelet filtering, with applications in radar, sonar, finance, and image processing. He has pioneered methods for 1D/2D chirp signal analysis and volatility modeling in econometrics. His 15 most recent publications (2018-2023) reveal a sustained focus on advanced parameter estimation for chirp and sinusoidal models, with increasing attention to computational efficiency and real-world applicability. Key trends include the development of robust M-periodogram approaches, asymptotic analysis of quantile estimators, and extensions to multidimensional signal processing—particularly for image applications through nonnegative matrix factorization. His scientific awards include: Excellence in Teaching Award (2019, IIT Kanpur) Distinguished Teacher Award (2010, IIT Kanpur) M. N. Murthy Award from the Indian Statistical Institute (2002) Postdoctoral award from Swedish Foundation for Strategic Research (2000) Research award from National Board for Higher Mathematics (1992) Professor Mitra has supervised 67 students including 3 PhD candidates (1 completed), 4 M.Tech students, and 59 Masters students across Mathematics, Economics, and Statistics programs. His applied work includes consultancy projects with Politis (Cyprus) on market data modeling, Retailzoom (Cyprus) on retail analytics, and QuantLink Solutions (USA) on data mining software development for financial applications. No specific research labs or teams are mentioned in the provided text, though his patent in image processing (US Patent 9,940,868) indicates collaborative work with engineers on real-time display systems.

Ctirad MatyskaView profile

Associate Professor

• Mantle dynamics
• Numerical modelling of mantle convection
• Free oscillations
• +7 more

Ctirad Matyska is an Associate Professor at the Department of Geophysics , Faculty of Mathematics and Physics , Charles University . His career spans over three decades at the same institution, where he has held academic and administrative roles including Head and Deputy Head of the Department of Geophysics, and budgetary responsibility for 23 years. He maintains active involvement in editorial boards (e.g., Studia geophysica et geodaetica ), scientific committees (e.g., EGU Augustus Love medal committee), and institutional advisory boards. Research Focus : Mantle dynamics, viscoelastic Earth response, seismic source modeling, and non-linear geophysical systems Technical Expertise : Numerical modeling, matrix eigenvalue methods, pseudospectral approaches Academic Leadership : 1997–present: Associate Professor; 2006–2014: Department Head; 2020–present: Extended Dean Advisory Board Publications reflect a long-term research program on: Mantle viscosity and convection dynamics Free oscillations and seismic wave propagation Thermal modeling of lithospheric processes Earth's viscoelastic response to geophysical loads Notable scientific awards include recognition by Charles University (1982) and the Czech Literature Fund (1987). He has supervised over 20 PhD and Master's theses, and participated in numerous international collaborative research projects with institutions in the US, Canada, and EU.

Aaron WeltersView profile

Associate Professor

• Mathematical Physics
• Applied Mathematics
• Electromagnetism
• +6 more

Aaron Welters is an Associate Professor in the Department of Mathematics and Systems Engineering at Florida Institute of Technology's College of Engineering and Science. His expertise lies at the intersection of mathematical physics and applied mathematics, with particular focus on electromagnetism, photonic crystals, and operator theory. Education: Ph.D. in Mathematics, University of California, Irvine (2011) Postdoctoral Researcher, Louisiana State University (2011-2012) Applied Mathematics Instructor, MIT (2012-2014) Research Interests: Dr. Welters' research encompasses several interconnected areas of mathematical physics and applied mathematics. His work on electromagnetic theory explores the fundamental properties of electromagnetic fields in complex media, including stratified and periodic structures. In the realm of photonic crystals , he investigates the mathematical foundations of light propagation in engineered materials, contributing to the understanding of slow-light phenomena and scattering mechanisms. His operator theory research delves into the spectral properties of differential-algebraic equations and matrix analysis, with applications ranging from stability theory to network problems. The intersection of linear algebra and complex analysis forms another pillar of his work, particularly in developing theoretical frameworks for understanding polynomial roots and their continuity properties. Publication Trends: Recent publications demonstrate a strong emphasis on advancing mathematical frameworks for understanding complex physical systems. The 2025 works focus on fundamental theorems in control theory and operator means, while 2023-2024 contributions address spectral theory and effective operators for discrete systems. Earlier works (2016-2021) concentrate on electromagnetic phenomena, including dissipation in stratified media and properties of photonic structures. Contact & Affiliations: Located in the Frederick C. Crawford Building, room 319, Dr. Welters maintains active research profiles on Google Scholar and ResearchGate. His institutional email is awelters@fit.edu and can be reached at (321) 674-7202.

• Pharmaceutical Analysis
• Environmental Analysis of Pharmaceuticals
• Chromatography and Mass Spectrometry
• +3 more

Monika Johansson serves as an Associate Professor in the Department of Medicinal Chemistry; Analytical Pharmaceutical Chemistry at Uppsala University, specializing in advanced analytical methodologies for pharmaceutical compounds in environmental contexts. Her research focuses on pharmaceutical environmental analysis with expertise in: Trace analysis of psychoactive pharmaceuticals in wastewater matrices Chiral separation techniques for drug metabolites LC-MS/MS and NMR method development/validation Matrix effect characterization in complex samples Qualification of analytical standards for pharmaceutical assays Detection of counterfeit drugs and illicit substances Recent publications demonstrate consistent leadership in environmental pharmaceutical analysis, particularly regarding benzodiazepines, antidepressants, and beta-blockers. Her work addresses critical challenges in recovery estimation, enantioselective quantification, and transformation product identification, establishing robust frameworks for monitoring pharmaceutical pollution in water systems through sophisticated chromatographic and spectroscopic approaches.

Kamran PaynabarView profile

Professor

• Statistical Learning Methods for Big Data Analytics
• Quality Engineering
• Manufacturing Systems
• +3 more

Kamran Paynabar is the Fouts Family Chair and Professor at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology . He specializes in Engineering-Driven Statistical Modeling , Statistical Learning Methods for Big Data Analytics , and Quality Engineering , with applications in Manufacturing Systems and Healthcare . B.S. and M.Sc. in Industrial Engineering from Iran University of Science and Technology and Azad University (2002, 2004) M.A. in Statistics and Ph.D. in Operations Engineering from the University of Michigan (2010, 2012) His research focuses on high-dimensional data analysis for system monitoring, diagnostics, and prognostics using semi-parametric and nonparametric approaches . Methodologies he develops address applications in automotive, aerospace, medical device manufacturing , and healthcare , including cardiac and orthopedic surgery analytics. Dr. Paynabar’s publications from 2016–2025 highlight trends in anomaly detection , tensor analysis , Gaussian process modeling , and active learning applied to photovoltaic systems , additive manufacturing , and smart grids . INFORMS Data Mining Best Student Paper Award Best Application Paper Award from IIE Transactions Wilson Prize for Manufacturing Systems Research POMS Best Paper Award Georgia Tech CETL/BP Teaching Excellence Award He has advised students like Xiaolei Fang (University of Florida), Hao Yan (Arizona State University), and Chitta Ranjan , with grants from the National Science Foundation (NSF) . His work emphasizes interdisciplinary collaboration , bridging industrial engineering , machine learning , and system optimization .