جست‌وجوی استاد و پژوهشگر

Kate M. Lesciottoمشاهده پروفایل

استادیار

• Forensic Anthropology
• Sex Estimation
• Biomechanics
• +۶ مورد دیگر

Kate M. Lesciotto, JD, PhD, D-ABFA is an Assistant Professor at the Center for Anatomical Sciences , affiliated with the College of Biomedical and Translational Sciences at UNT Health in Fort Worth, TX. Her work bridges forensic anthropology, biomechanics, and legal systems, focusing on skeletal analysis, trauma interpretation, and the Daubert standard's impact on forensic science. Education PhD in Anthropology, Pennsylvania State University (2020) MS in Forensic and Biological Anthropology, Mercyhurst University (2015) Juris Doctor (JD), Washington University in St. Louis (2009) BS in Biological Science and Zoology, Colorado State University (2004) Her research centers on forensic anthropology , with three primary areas: (1) sex estimation from skeletal remains using metric/morphological data and statistical models; (2) biomechanics of skeletal trauma via experimental bending models and medical imaging; and (3) the intersection of forensic anthropology and legal systems , particularly Daubert standard admissibility criteria. Recent projects include NSF/National Institute of Justice-funded software development for sex estimation and collaborations on cranial bone development studies. Dr. Lesciotto's publications reflect expertise in forensic identification , methodological validation , and science communication . She has contributed to software tools, biomechanical protocols, and educational outreach initiatives like March Mammal Madness. Her 2021-2025 work demonstrates consistent focus on improving forensic accuracy, legal standards, and developmental imaging techniques. Scientific Awards ABFA Board-Certified Forensic Anthropologist (2023) As a practicing forensic anthropologist, she consults for Texas counties and trains law enforcement. At UNT Health, she directs Graduate Structural Anatomy (PHAN 5301) and teaches gross anatomy to medical, physical therapy, and physician assistant students. Her work integrates biomedical research , legal analysis , and pedagogical innovation , reflecting interdisciplinary expertise in forensic science.

Azzeddine Azzamمشاهده پروفایل

استاد

• Empirical Industrial Organization
• Agricultural Policy Analysis
• Beef Supply Chain Economics
• +۳ مورد دیگر

Azzeddine Azzam serves as the Roy Frederick Professor of Agricultural Economics in the Department of Agricultural Economics at the University of Nebraska-Lincoln, where he conducts research at the intersection of industrial organization and agricultural policy. His career spans academic appointments at Harvard University, Swedish University of Agricultural Sciences, and University Mohammed VI Polytechnique, along with advisory roles at Dubai Chamber of Commerce and Industry and chairmanship of the University of Dubai's Economics Department. His educational foundation includes a Ph.D. in Agricultural Economics from the University of Nebraska-Lincoln (1985). Azzam's research centers on empirical industrial organization with emphasis on US beef supply chain dynamics, including oligopsony power, captive supplies, price transmission asymmetry, and pandemic-induced disruptions. His agricultural policy analysis examines biofuel impacts on grain-livestock markets, crop insurance effects on farm structure, and state-level initiatives like Nebraska's Livestock Friendly Country Program. International collaborations extend his work to Morocco, Sweden, and UAE, addressing food security and market structure issues across diverse agricultural contexts. Analysis of his 15 most recent publications (2021-2025) reveals three dominant research trajectories: pandemic resilience in meat processing (6 articles), market power dynamics in agricultural supply chains (5 articles), and policy impacts of biofuels/crop insurance (4 articles). These works consistently apply industrial organization frameworks to contemporary food system challenges, with increasing focus on crisis response and structural vulnerabilities since 2020. His recognition includes: University of Nebraska 2008 Excellence in Graduate Education Award for Outstanding Contributions to Graduate Education Lifetime Research Fellow of the Economic Research Forum Member of Phi Beta Delta, the Honor Society of International Scholars Azzam's academic leadership encompasses founding the Center of Agricultural and Food Industrial Organization (CAFIO), establishing the Journal of Agricultural and Food Industrial Organization (JAFIO), and creating RURALS: Review of Undergraduate Research in Agricultural and Life Sciences. He has mentored graduate students recognized by university awards and served as associate editor for leading journals including American Journal of Agricultural Economics and Agribusiness: An International Journal. Through CAFIO, he directs research on agri-food industrial organization, while JAFIO and RURALS platforms foster scholarly discourse and undergraduate research development in agricultural economics globally.

• Polar Science
• Arctic Marine Ecology
• Fisheries Management
• +۳ مورد دیگر

Ole Arve Misund serves as a Professor at the Norwegian Fisheries College within UiT The Arctic University of Norway, Tromsø. His research spans polar science, Arctic marine ecology, fisheries management, and international relations in polar regions, with particular focus on Norway-Russia scientific cooperation dynamics following geopolitical shifts in 2022. His research interests center on climate change impacts on Arctic marine ecosystems, acoustic monitoring of marine organisms, and the geopolitical dimensions of polar research. Recent work examines boreal species migration into the Central Arctic Ocean, machine learning applications for backscatter analysis, and management frameworks for the Central Arctic Ocean. Analysis of his recent publications reveals strong interdisciplinary trends, integrating marine ecology with political science through studies of Russian-Norwegian scientific collaboration under sanctions, illegal fishing enforcement, and policy-relevant polar research. His work consistently bridges academic research with practical fisheries management and geopolitical considerations. Misund actively engages in science communication through Norwegian media outlets like Nordlys and Fiskeribladet, addressing topics from climate policy contradictions to Antarctic hydrological changes. His expeditionary work includes North Pole 2022 aboard the "Kronprins Haakon" research vessel. Professional activities demonstrate significant leadership in polar research infrastructure development and international scientific collaboration, particularly through the Norwegian Polar Institute where he contributes to strategic planning and policy advice. His work emphasizes evidence-based approaches to Arctic governance amid evolving geopolitical landscapes.

Danesh Taftiمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Fluid Mechanics
• Heat Transfer
• +۷ مورد دیگر

Danesh Tafti is the William S. Cross Professor and Associate Department Head for Graduate Studies in the Department of Mechanical Engineering at Virginia Tech. He holds a PhD from Pennsylvania State University (1989) and has held roles at institutions including the University of Illinois at Urbana-Champaign and West Virginia Institute of Technology. His research focuses on computational fluid dynamics (CFD) and heat transfer, with applications in gas turbines, biomedical systems, and renewable energy. Key research areas include turbulence modeling, fluid-structure interaction, and biofluid mechanics, leveraging high-performance computing. His work spans aerodynamics of flapping flight, cardiovascular flows, and particle-laden flows. Tafti leads the High Performance Computational Fluid-Thermal Science and Engineering Lab, developing tools like GenIDLEST software for complex fluid-thermal systems analysis. Education: PhD (Penn State, 1989), MS (Texas Tech, 1983), BE (Bombay University, 1980) Awards: ASME Fellow (2014), Virginia Tech Dean’s Research Award (2012) Labs: High Performance Computational Fluid-Thermal Science and Engineering Lab Publications emphasize CFD advancements, machine learning integration, and multiphase flow modeling. Tafti’s work bridges computational methods with real-world applications in energy systems, aerospace, and biomedicine.

• Social Archaeology
• Settlement Archaeology
• Landscape Archaeology
• +۴ مورد دیگر

Prof. Dr. Johannes Müller holds the Chair for Prehistoric Archaeology and directs the Institute of Pre- and Protohistory at Christian-Albrechts-Universität zu Kiel since 2004. His academic journey includes studies at Freiburg and Edinburgh, a habilitation at FU Berlin, and leadership roles in Bamberg. His research focuses on social archaeology, settlement patterns, and human-environment interactions in European prehistory, particularly the Neolithic and Bronze Age. Müller leads major projects like the DFG Collaborative Research Center 'Scales of Transformation' and the 'Human Development in Landscapes' Graduate School. His fieldwork spans Germany, Poland, Bosnia-Herzegovina, and Ukraine, with excavations at sites like Okoliste and Bruszczewo. He coordinates international initiatives like the Priority Program 'Early Monumentality and Social Differentiation.' Müller is a leading figure in computational archaeology, advancing predictive mapping and geophysical survey techniques. His work bridges archaeology with environmental and demographic sciences, emphasizing interdisciplinary collaboration. Education: PhD and habilitation in Prehistoric Archaeology (Freiburg and Berlin) DAI travel grant and academic roles at Freiburg, Cologne, and Bamberg Research Interests: Müller’s research integrates social archaeology with landscape and environmental studies to explore societal complexity and inequality. Key themes include: Neolithic monumental architecture (e.g., megalithic tombs, fortified settlements) Trypillia mega-sites and their socio-environmental dynamics Climate change impacts on prehistoric societies Computational methods for predictive mapping Collaborations: German Archaeological Institute (DAI) International teams in Poland, Bosnia-Herzegovina, and Ukraine Partnerships with institutions like Poznan University and the State Museum of Sarajevo Labs/Teams: He oversees the Institute’s fieldwork and laboratory facilities, including geophysical surveys and environmental analysis. His team employs cutting-edge techniques like geomagnetic imaging and isotopic dating to reconstruct ancient landscapes.

• Partial Differential Equations
• Fluid Mechanics
• Mathematical Analysis
• +۳ مورد دیگر

Dr. Thomas Eiter is a Young Investigator in the Collaborative Research Centre CRC 1114 at Freie Universität Berlin and a member of the Partial Differential Equations research group at the Weierstrass Institute of Applied Analysis and Stochastics (WIAS). He holds a PhD from Technical University of Darmstadt (2020), focusing on existence and spatial decay of periodic Navier-Stokes flows in exterior domains. His research emphasizes mathematical analysis of PDEs motivated by fluid mechanics, including existence of solutions, time-periodicity, unbounded domains, and asymptotic behavior. Teaching highlights include courses such as 'Introduction to Mathematical Modeling with PDEs' at Freie Universität Berlin and 'Harmonic Analysis' at University of Kassel. He has organized workshops like the 2025 'Mathematical Analysis of Fluid Flows by Variational Methods' at WIAS. Current projects include the SPP 2410 initiative on energy-variational solutions for hyperbolic conservation laws. His work bridges theoretical PDE analysis with applications in continuum mechanics, with contributions to viscous flow dynamics, Navier-Stokes equations, and material models. He actively participates in academic leadership through seminar organization and conference minisymposia on fluid mechanics and nonlinear analysis.

Niyousha Hosseinichimehمشاهده پروفایل

دانشیار

• Health Systems Engineering
• Public Health Policy
• System Dynamics Modeling
• +۴ مورد دیگر

Niyousha Hosseinichimeh is an Associate Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech's College of Engineering. Her research focuses on improving health and healthcare systems through system dynamics modeling and simulation. She holds a Ph.D. in Public Policy from SUNY Albany (2012) and a B.S. in Mechanical Engineering from Sharif University of Technology (2001). Her work addresses complex issues like adolescent drinking/driving behaviors, major depressive disorder, and infant mortality. Methodologically, she advances calibration techniques for dynamic models and group model-building approaches. Her research has been funded by NIH, NSF, and the Ohio Department of Health. Notable contributions include modeling the hypothalamus-pituitary-adrenal axis and developing tools for rapid parameter estimation in system dynamics. She advises students such as Alba Rojas-Cordova (winner of multiple awards) and Arash Baghaei Lakeh. Her grants include projects on depression dynamics and emergency department utilization. Her work intersects systems engineering, public health, and computational methods, emphasizing practical policy and clinical applications.

Alexander Kirpichمشاهده پروفایل

استادیار

• Biostatistics
• Infectious Disease Epidemiology
• Molecular Epidemiology
• +۳ مورد دیگر

Dr. Alexander Kirpich is an Assistant Professor in the Department of Population Health Sciences at Georgia State University's School of Public Health. With a Ph.D. in Biostatistics from the University of Florida (2015) and prior postdoctoral experience in infectious disease modeling, he specializes in biostatistical analysis and epidemiological forecasting. Since joining Georgia State in 2019, his work integrates viral genomics, public health surveillance, and computational modeling to address emerging disease threats. Ph.D. in Biostatistics, University of Florida (2015) Master of Statistics, University of Florida (2011) Specialist Degree in Mathematics, Belarusian State University (2006) His research focuses on infectious disease modeling , including COVID-19 , HIV , mpox , and cholera , employing techniques like epidemic forecasting , genomic analysis , and statistical modeling . He also develops computational tools (e.g., StatModPredict) for public health applications and contributes to interdisciplinary projects on food security, smoking cessation, and pediatric health outcomes. Dr. Kirpich's recent work demonstrates trends in Integrating internet search data with traditional epidemiological models Applying machine learning to genomic datasets Developing agent-based stochastic models for disease transmission Quantifying excess mortality in politically constrained settings Contact: akirpich@gsu.edu | Office: Urban Life Building, Suite 407, Atlanta, GA

Bunmi Olatunjiمشاهده پروفایل

استاد

• Anxiety Disorders
• Cognitive Behavioral Therapy (CBT)
• Experimental Psychopathology
• +۴ مورد دیگر

Bunmi O. Olatunji is a Professor in the Department of Psychology and Psychiatry at Vanderbilt University, where he also serves as Director of Clinical Training. He holds editorial roles at prominent journals including the Journal of Consulting and Clinical Psychology , and his research focuses on anxiety disorders, disgust-driven behaviors, and experimental psychopathology. His work has been funded by the NIH and APA divisions, yielding over 160 publications and book chapters. Dr. Olatunji directs the Emotion and Anxiety Research Laboratory, examining how basic emotions like disgust influence anxiety-related disorders. Key interests include cognitive behavioral therapy optimization, PTSD neurobiology, and the intersection of sleep/circadian rhythms with mental health. His research bridges clinical practice and scientific inquiry, emphasizing translational outcomes. Editorial Roles: Associate Editor of Journal of Consulting & Clinical Psychology, Editorial Board of Behavior Therapy, etc. Funding: NIH grants, Anxiety Disorders Association of America Publications: Co-author of 10-Minute CBT and co-editor of Disgust and Its Disorders Awarded the APA Shakow Early Career Award and Theodore Blau Award for contributions to clinical psychology, his work highlights mechanisms underlying exposure therapies and the role of disgust in OCD/PTSD. His lab employs advanced neuroimaging (e.g., ENIGMA-PGC PTSD consortium) and ecological momentary assessment to study real-time symptom dynamics. Grants and mentorship efforts emphasize training next-generation clinical scientists, with a focus on bridging basic science and clinical practice. His work addresses pandemic mental health challenges, chronic insomnia, and the ethics of brief therapy.

• Hydrogeology
• Environmental Geosciences
• Subsurface Hydrology
• +۶ مورد دیگر

Olaf A. Cirpka is a Full Professor of Hydrogeology at the University of Tübingen, Germany, within the Faculty of Science's Department of Geosciences. He holds a Diploma in Geoecology (University of Karlsruhe, 1992) and a Doctor of Engineering in Civil Engineering (University of Stuttgart, 1997). His career includes postdoctoral research at Stanford University (1998–2000), adjunct roles there until 2009, and leadership roles such as Head of the Emmy-Noether Junior Research Group (2000–2004) and Subsurface Hydrology Workgroup at Eawag (2004–2008). He is a Fellow of the American Geophysical Union (2015) and served as Spokesperson for the Research Training Group 1829 (2012–2021). Research Interests: His work focuses on subsurface hydrology, reactive transport modeling, biogeochemical processes in aquifers, and climate impacts on groundwater systems. He integrates numerical modeling, field experiments, and geophysical methods to address challenges in contaminant fate, hyporheic zone dynamics, and sustainable groundwater management. Articles Trends: Recent publications emphasize innovative methods for quantifying subsurface processes (e.g., VTraFlux, electrical conductivity tracers), climate-driven groundwater changes, and microbial-driven biogeochemical reactions. His work bridges experimental hydrology with computational tools to advance understanding of complex environmental systems. Awards & Grants: AGU Fellowship (2015) highlights his scientific contributions. He has led numerous research initiatives, including the Advect As project on arsenic dynamics and the Research Training Group on integrated hydrosystem modeling. Grants and collaborations span interdisciplinary environmental research. Labs & Teams: Directs the Hydrogeology group at Tübingen and collaborates with international institutions like Stanford, ETH Zürich, and Eawag. His research integrates field campaigns, lab experiments, and numerical simulations to address real-world hydrogeological challenges.

Vaibhav Srivastavaمشاهده پروفایل

دانشیار

• Cyber Physical Human Systems
• Networked Multi-Agent Systems
• Mathematical Neuroscience
• +۳ مورد دیگر

Vaibhav Srivastava is an Associate Professor in the Electrical and Computer Engineering Department at Michigan State University (MSU), with affiliations in Mechanical Engineering and the Cognitive Science Program. He holds a Ph.D. and M.A. from the University of California, Santa Barbara, and a BTech from the Indian Institute of Technology Bombay. His research focuses on Cyber-Physical Human Systems, including networked multi-agent systems, mathematical neuroscience, and autonomous robotics. He has held leadership roles in conferences like the American Control Conference and serves as an Associate Editor for the ASME Journal of Dynamical Systems and IEEE Open Journal of Control Systems. Education: Ph.D. in Mechanical Engineering, University of California, Santa Barbara (2012) M.A. in Statistics, University of California, Santa Barbara (2012) M.S. in Mechanical Engineering, University of California, Santa Barbara (2011) BTech in Mechanical Engineering, Indian Institute of Technology Bombay (2007) Research Interests: Prof. Srivastava’s work bridges human decision-making with engineering systems, emphasizing mixed human-robot teams, networked systems, and mathematical models of neural processes. His projects address challenges in autonomous vehicles, surveillance strategies, and collaborative robotics, supported by grants from NSF, ONR, and the Army Research Office. Recent Trends in Articles: His publications explore adaptive control strategies for UAVs, trust-aware autonomy, and multi-fidelity models for human-robot collaboration. Key themes include robust trajectory estimation, impedance tuning, and epidemic modeling in networked environments. Awards: Best Student Paper Award (coauthor), European Control Conference 2014 Grants & Advising: He has secured funding for projects on data-driven control and human-in-the-loop systems. His advising includes contributions to robotics and control theory, with a focus on interdisciplinary approaches combining cognitive science and engineering. Labs/Teams: Engaged in collaborative efforts across MSU’s College of Engineering, focusing on soft robotics, decision-making algorithms, and autonomy in dynamic environments.

Steven Haiderمشاهده پروفایل

استاد

• Labor Economics
• Public Policy Analysis
• Health Economics
• +۴ مورد دیگر

Steven Haider is a Professor in the Department of Economics at Michigan State University (MSU). His research focuses on labor economics, public policy, health economics, and socioeconomic disparities. He has conducted extensive studies on labor supply elasticities, welfare reform, infant mortality gaps, and the impact of public policies on marginalized populations. Haider's work often integrates empirical econometric methodologies with policy analysis, particularly in evaluating the effectiveness of social programs. His research on breastfeeding support programs, racial disparities in health outcomes, and retirement wealth dynamics demonstrates a commitment to addressing real-world socioeconomic challenges. He has collaborated on projects related to food security, elderly labor supply, and the economic implications of welfare reform. His publications span over 20 years, with notable contributions to understanding wage elasticity, instrumental variable techniques, and the interplay between socioeconomic status and health outcomes. Haider’s interdisciplinary approach bridges economics, demography, and public health to inform evidence-based policy decisions.

• Generative Programming
• Model-Based Development
• Software System Families
• +۷ مورد دیگر

Krzysztof Czarnecki is a Professor at the University of Waterloo's Department of Electrical and Computer Engineering, with a cross-appointment to the School of Computer Science. He serves as leader of the Waterloo Intelligent Systems Engineering Lab and holds the title of University Research Chair. His research focuses on generative software development, model-driven engineering, and autonomous systems, particularly in automotive cybersecurity and perception safety. Education: Doctorate in Computer Science, Technical University of Ilmenau (1999) Master of Science in Computer Science, Technical University of Ilmenau (1995) Bachelor of Science in Computer Science, California State University (1994) Research Interests: Dr. Czarnecki's work spans generative programming, software product lines, and safety-critical AI for autonomous vehicles. Recent projects address robust perception systems, uncertainty quantification in neural networks, and strategic driving behavior modeling. He co-authored Generative Programming (Addison-Wesley, 2000), a foundational text in the field. Publications Trends: Recent work emphasizes multimodal AI integration (e.g., LEO-MINI), 3D object detection improvements (OV-SCAN), and safety assurance frameworks for autonomous systems. His research bridges theoretical software engineering with applied robotics challenges. Awards: Premier’s Research Excellence Award (2004) British Computing Society’s Upper Canada Award (2008) University Research Chair, University of Waterloo (2023) Teaching & Leadership: Teaches courses like ECE 495 (Autonomous Vehicles) and ECE 651 (Software Engineering Foundations). Oversees WatCAR initiatives and collaborates on industry projects through the NSERC Bank of Nova Scotia Industrial Research Chair (previous). Labs & Teams: Directs the Waterloo Intelligent Systems Engineering Lab, focusing on AI-driven solutions for autonomous systems and safety-critical software. Active in cross-disciplinary collaborations with automotive and robotics partners.

Jimin Yuمشاهده پروفایل

استاد

• Paleoclimatology
• Oceanography
• Geochemistry
• +۳ مورد دیگر

Jimin Yu is a Professor at the Research School of Earth Sciences (RSES) at the Australian National University (ANU). He holds tenured positions, including ARC Future Fellow (2015–2019), and has expertise in paleoclimatology, oceanography, and geochemistry. His research focuses on the global carbon cycle, ocean circulation changes, and the development of geochemical proxies to understand past climate systems. Education: Ph.D. in Paleoclimatology (2006), University of Cambridge M.Sc. in Mineralogy and Petrology (2002), Nanjing University B.Sc. in Geology (1999), Nanjing University Research Interests: Jimin Yu's work explores interactions between the atmosphere, oceans, and land biosphere through trace element and isotopic analyses. Key areas include: Carbonate system dynamics in deep-sea environments Development of proxies for seawater pH and carbonate ion saturation Reconstruction of past ocean circulation patterns using multi-proxy approaches Recent Research Trends: His publications highlight studies on Southern Ocean CO₂ release, Pacific deep-water circulation, and the role of meltwater in North Atlantic climate variability. These projects often integrate field data with numerical models to address unresolved mechanisms in Earth's climate system. Awards & Grants: ARC Discovery Project (DP140101393), 2014–2017 ARC Future Fellowship (FT140100993), 2015–2019 Teaching & Supervision: Course convener for Palaeoclimatology and Climate Change (EMSC3027/6027) . Supervises Ph.D. students in carbon cycle dynamics and paleoceanography, with current funding opportunities for motivated candidates. Labs & Facilities: Utilizes cutting-edge instrumentation like Neptune MC-ICP-MS and prepFAST MC systems for trace element analysis, supporting high-precision geochemical studies.

• Autonomous Industrial Systems
• Model Predictive Control
• Optimization
• +۷ مورد دیگر

Mehmet Mercangoz is an Associate Professor in Autonomous Industrial Systems at the Department of Chemical Engineering, Faculty of Engineering, Imperial College London. His research focuses on developing intelligent systems for industrial processes and energy systems, emphasizing safety, reliability, and sustainability through process modeling, model predictive control, optimization, and machine learning. His recent publications highlight applications of large language models , reinforcement learning , and hybrid mechanistic-machine learning models to address challenges in industrial automation, fault handling, energy storage, and gas compression systems. Key themes include decarbonization, electrification of process industries, and adversarially robust control frameworks. Current affiliations include Imperial College London and ABB, with prior roles at ABB Corporate Research Switzerland and ABB Future Labs. His work bridges chemical engineering , control theory , and artificial intelligence , targeting zero-emission industrial operations.