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Christoforos MavrogiannisView profile

Assistant Professor

• Human-robot interaction
• shared autonomy
• multiagent and multirobot systems
• +4 more

Christoforos Mavrogiannis is an Assistant Professor of Robotics at the University of Michigan, leading the Fluent Robotics Lab within the Department of Robotics. He holds a Ph.D. and M.S. from Cornell University and a Diploma in Mechanical Engineering from the National Technical University of Athens. His research focuses on enabling robots to seamlessly integrate into dynamic, unstructured environments through advancements in human-robot interaction, shared autonomy, multiagent systems, and navigation algorithms. Education: Ph.D. and M.S., Cornell University Diploma in Mechanical Engineering, National Technical University of Athens Research Interests: His work spans human-robot interaction , shared autonomy , and multiagent systems . He develops algorithms for navigating dynamic environments , decentralized control , and behavior prediction , with applications in robotic manipulation and collaborative transport . Recent projects include the HOUND off-road robot and pixel-art generation with mobile robots. Awards: Best paper award at the RSS Social Navigation Workshop (2024) Grants & Advising: He advises the Fluent Robotics Lab and contributes to organizing conferences like ICRA and HRI. His lab focuses on human-centered robotics and socially competent navigation . Labs & Teams: Fluent Robotics Lab at the University of Michigan, collaborating on projects like the HOUND platform and electrostatic brake systems for manipulation.

Abdallah ChehadeView profile

Associate Professor

• Deep Learning
• Prognostics
• Reliability Analysis
• +8 more

Dr. Abdallah Chehade is an Associate Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn , where he leads the Informatics, Reliability, and Data Analytics (IRDA) lab . He holds a Ph.D. in Industrial Engineering from the University of Wisconsin-Madison (2017), with minors in Computer Sciences and Statistics, alongside an M.S. in Mechanical Engineering and a B.E. in Mechanical Engineering from the American University of Beirut. Research Interests span safe and robust deep learning solutions , explainable AI , data fusion for degradation modeling , and Bayesian statistical modeling . His work integrates AI/ML with prognostics and Internet of Things (IoT) to address challenges in reliability analytics and industrial data science . Publications highlight advancements in deep autoencoders , LSTM networks , and hybrid models for warranty forecasting , with applications in battery cells , sheet metal stamping , and rail transportation . His grants from Ford, Honda, and the U.S. Army focus on smart manufacturing , AI for sensor modeling , and digital twins . Lab Members include Ph.D. students working on topics like physics-based AI , computer vision , and deep learning for prognosis . He serves on the INFORMS Quality, Statistics, and Reliability (QSR) Council and maintains affiliations with IEEE , INFORMS , and IISE .

Oliver CrönertzView profile

Professor

• Digital Transformation
• Business Analytics
• Industry 4.0 Technology Potentials
• +4 more

Prof. Dr. Oliver Crönertz serves as Dean and Professor of Business Administration and IT-Supported Business Processes at the Faculty of Digital Transformation , HTWK Leipzig. His work bridges digital transformation with business management, focusing on interdisciplinary project management, digital business models, and sustainability. Current roles: Dean, supervising professor for HTWK Robots/nao Team Research areas: Digital Transformation, Business Analytics, Industry 4.0, Stoffstrommanagement Research Trends : Recent publications emphasize digital solutions for environmental management, business process optimization, and smart urban logistics. His work connects Industry 4.0 with financial sustainability and societal impacts of digitalization. Projects : Leads Mittelstand-Digital Zentrum Leipzig-Halle, involved in EXIST-Potentiale, Future Parking, and FAssMII (Feedback-based E-Assessment in STEM).

Ralph BockView profile

Professor

• Plant Molecular Biology
• Chloroplast Biology
• Organelle Biotechnology
• +7 more

Prof. Dr. Ralph Bock serves as Director of Department 3: Organelle Biology, Biotechnology and Molecular Ecophysiology at the Max Planck Institute of Molecular Plant Physiology in Potsdam, Germany, where he also leads the Organelle Biology and Biotechnology research group. Previously, he held positions as C4 Professor for Plant Biochemistry and Biotechnology at the University of Münster (2001-2004) and Group Leader at the Institute of Biology III, University of Freiburg (1996-2001). His academic credentials include: Habilitation: University of Freiburg, 1999 Doctorate: University of Freiburg, 1996 Diploma: University of Halle, 1993 Prof. Bock's research focuses on plant molecular biology with particular emphasis on chloroplast biology, organelle biotechnology, and molecular ecophysiology. His work spans genetic engineering of plastids, photosynthesis research, plant biotechnology applications, and understanding organelle-nucleus communication. He has made significant contributions to developing chloroplast transformation systems and applying them to molecular farming, metabolic engineering, and understanding fundamental processes in plant cell biology. His research has important implications for sustainable agriculture, bioenergy, and pharmaceutical production, particularly through the development of plant-based systems for producing vaccines and therapeutic proteins. Analysis of Prof. Bock's recent publications (2023-2025) reveals a strong focus on chloroplast biology, genetic engineering, and molecular farming applications. His work spans fundamental research on organelle genetics, photosynthesis, and stress responses, as well as applied research on using plant and algal systems for biopharmaceutical production. A notable trend is the increasing use of advanced genetic engineering techniques, including CRISPR-based approaches, to manipulate organelle genomes. His research also shows growing interest in algal systems as alternative expression platforms for molecular farming, particularly red algae like Porphyridium for producing viral antigens and glycoproteins.

Satadru DeyView profile

Assistant Professor

• Battery Systems
• Transportation Systems
• Cyber-Physical Security
• +3 more

Satadru Dey serves as an Assistant Professor in the Department of Mechanical Engineering at Penn State University, where he leads research at the intersection of energy infrastructure and smart city systems. His work spans battery technology, transportation networks, and cyber-physical security, with institutional affiliations including the Integrated Energy Systems and Equitable Communities research initiatives. His primary research focuses include battery safety and security (covering fault diagnosis, thermal management, and fast charging protocols), second-life applications for batteries/supercapacitors, secure autonomous transportation systems, and socio-technical traffic modeling. He employs advanced control theory, machine learning, and physics-based modeling to address critical challenges in energy storage and urban mobility infrastructure. Analysis of his 15 most recent publications (2022-2024) reveals a consistent trajectory toward cyber-physical security in battery and transportation systems, with 60% of works addressing battery fault detection and 40% focused on transportation security. His methodologies increasingly integrate partial differential equations, reinforcement learning, and socio-technical data fusion across electrical engineering, mechanical engineering, and computer science domains. Scientific Awards: No awards or fellowships were documented in the source material. Advising and grant activities are not explicitly detailed in the provided information, though his editorial leadership for the 2024 Special Issue on Energy in Smart Infrastructures indicates academic service responsibilities. The absence of student listings suggests either early-career status or non-publication of advising relationships. Dr. Dey directs a specialized research laboratory focused on integrated energy systems within smart city frameworks, with documented projects spanning battery management, transportation security, and equitable infrastructure development. His lab maintains active collaborations across mechanical engineering, electrical systems, and urban planning disciplines as evidenced by multi-departmental publication venues.

Martin BurgerView profile

Professor

• Inverse Problems
• Applied Mathematics
• Mathematical Modelling
• +15 more

Prof. Dr. Martin Burger is a leading scientist at DESY and a Full Professor in the Department of Mathematics at Universität Hamburg, where he leads the Computational Imaging Group. His research bridges applied mathematics, imaging sciences, and machine learning, with a focus on inverse problems, mathematical modeling, and partial differential equations. He has held professorial positions at Universität Münster and FAU Erlangen-Nürnberg prior to his current dual appointment. Full Professor, Universität Hamburg (2023–present) Leading Scientist, DESY, Hamburg (2023–present) Full Professor, FAU Erlangen-Nürnberg (2018–2023) Full Professor, Universität Münster (2006–2018) His research interests include inverse problems, variational regularization, optimal transport, kinetic models, and mathematical modeling in biology and social sciences. He has made significant contributions to imaging reconstruction, sparse neural networks, and the analysis of transformer architectures. His work often integrates theoretical analysis with computational methods, influencing both pure and applied mathematics. The most recent articles reflect a strong trend toward interdisciplinary applications, combining deep learning with PDE-based modeling, analyzing social and biological systems via kinetic and mean-field models, and advancing mathematical imaging through graph-based and optimal transport methods. His publications span high-impact venues in applied mathematics and computational science. Calderon Prize, Inverse Problems International Association (IPIA) ERC Consolidator Grant (2014) Invited speaker at ECM (2021), ICM (2022), and ICIAM (2023) Editor-in-Chief, European Journal of Applied Mathematics (since 2017) Prof. Burger has supervised numerous PhD students and postdoctoral researchers, many of whom appear as co-authors in his publications. His research is supported by major grants, including funding from the German Federal Ministry of Education and Research (BMBF). He is actively involved in collaborative projects across mathematics, physics, and engineering disciplines. He leads the Computational Imaging Group at DESY, fostering a collaborative environment for developing novel mathematical tools in imaging science. The group works on both theoretical foundations and practical implementations, contributing to advancements in tomography, machine learning, and data analysis.

• Hybrid Electric Vehicles
• Sustainable Mobility
• Optimal Control
• +5 more

Federico Miretti is an Assistant Professor at the Polytechnic University of Turin, affiliated with the Department of Energy and the interdepartmental center Cars@PoliTo. His research focuses on hybrid and electric vehicles, with emphasis on energy management strategies, battery state estimation, and sustainable transport solutions. PhD in Energetics from Polytechnic University of Turin Research areas include: Optimization-based Energy Management Strategies for hybrid propulsion systems Simulation and digital twinning of hybrid systems Thermal management for electrified vehicles Techno-economic assessment of mobility solutions Recent publications highlight advancements in battery temperature anomaly detection, wireless power transfer feasibility, and control algorithms for energy efficiency. His work aligns with SDGs 7 (Clean Energy) and 9 (Innovation). Teaching roles include: Fluid Machinery (2019-2025) Energy Management in Hybrid/Electric Vehicles (2021-2025) Projects: PRoSIT (2025): Predictive thermal management demonstrator Consulting contract with MIDAC SpA (2025): Battery Digital Twin development EBOAT project (2025-2026): Technical support for Vulkan

Ezra GolbersteinView profile

Professor

• Health economics
• Health care policy
• Mental health
• +4 more

Ezra Golberstein, PhD, is a Professor in the Division of Health Policy & Management at the University of Minnesota's School of Public Health. His academic journey includes a PhD in Health Services Organization and Policy from the University of Michigan (2008) and a BA from Brandeis University (2001). His research focuses on the intersection of health services and policy research with health economics, particularly in mental health services and policy. Golberstein's research interests span health economics , health care policy , mental health , quantitative methods , health insurance , human capital , and non-medical determinants of health . His work examines how health insurance changes, provider incentives, and practice innovations affect healthcare use and outcomes for people with mental health problems. He has published extensively on mental health services utilization, insurance coverage effects, and policy interventions aimed at improving mental healthcare access and quality. His publication record shows consistent scholarly output from 2007 through 2023, with recent work focusing on healthcare delivery innovations, mental health economics, and the impact of policy changes on vulnerable populations. His research demonstrates methodological rigor using quantitative approaches to address pressing questions in health policy. Member, Delta Omega Honorary Society in Public Health Golberstein's research has significant implications for health policy development, particularly in mental healthcare financing and delivery systems. His work on geographic variations in mental health services, insurance parity effects, and innovative service delivery models provides evidence to inform policymakers and healthcare administrators. His studies on college student mental health have contributed to understanding barriers to care and developing more effective campus mental health programs.

Helen JarvieView profile

Professor

• River Biogeochemistry
• Nutrient Cycling
• Eutrophication
• +5 more

Helen Jarvie is a Professor of Water and Global Environmental Change at the University of Waterloo, Canada. She holds adjunct and visiting professor positions at the University of Arkansas (Fluvial Sciences), Plymouth University (Environmental Chemistry), and the University of Tokyo (Water Quality Science), and is a UK Centre for Ecology & Hydrology Fellow. Her research centers on river-system biogeochemistry, with intense focus on nutrient (phosphorus and nitrogen) cycling, eutrophication, and water quality across watershed-to-global scales. She investigates how climate variability, land-use change, and human activities drive water-quality impairment, and develops strategies for improved nutrient stewardship to build resilience in water resources. Her work uniquely bridges the critical tension between phosphorus-dependent food security and water-quality protection, given phosphate rock's non-renewable status. Analysis of her 2015-2019 publications reveals dominant trends in phosphorus dynamics research, spanning watershed management, global phosphorus budgets, and the water-energy-food nexus. Key themes include unintended consequences of agricultural conservation practices on soluble phosphorus loads, stoichiometric responses to hydrologic extremes, and sustainable phosphorus stewardship frameworks addressing eutrophication while ensuring resource security for future food production.

Lydia BourouibaView profile

Professor

• Fluid Dynamics
• Disease Transmission
• Biophysics
• +6 more

Professor Lydia Bourouiba is a faculty member at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Civil and Environmental Engineering and the Institute for Medical Engineering and Science (IMES). Her research focuses on the intersection of fluid dynamics and disease transmission, with a strong emphasis on biophysics, interfacial flows, turbulence, and multiphase systems. Ph.D. in Applied Mathematics from McGill University (2008) Research on fluid fragmentation, droplet/bubble dynamics, and pathogen transport Co-Founder and Associate Director of the NSF Center for Pandemic Prevention (APPEX) Her work spans fundamental and applied domains, including: Biophysics of pathogen transport in air and water Turbulent multiphase flows in respiratory events Fluid-plant interactions in agricultural disease Nonlinear dynamics in public health contexts Key article trends highlight: Biomedical fluid mechanics Climate and environment-driven disease modeling High-risk/high-reward public health innovations Interdisciplinary approaches combining physics, biology, and engineering Scientific awards include: Fellow of the American Physical Society (2021) American Institute for Medical and Biological Engineering Fellow (2022) Smith Family Foundation Odyssey Award for biomedical research Ole Madsen Mentoring Award She serves as Associate Editor for the journal FLOW and has founded conferences like the Gordon Research Conference on Fluids in Disease Transmission. Her lab (Fluids and Health Network) develops experimental and theoretical frameworks to address contamination, pandemic control, and fluid-health-environment interactions.

Mehrdad NojoumianView profile

Associate Professor

• Security
• Privacy
• Trust
• +10 more

Mehrdad Nojoumian is an Associate Professor at Florida Atlantic University's College of Engineering and Computer Science, specializing in Security, Privacy, Trust, and Human-Autonomy Interaction. His research bridges computer science with FinTech and autonomous systems, focusing on cryptographic protocols, blockchain, and IoT security. PhD, University of Waterloo (Computer Science, 2012) MSc, University of Ottawa (Computer Science, 2007) BSc, Islamic Azad University (Computer Engineering, 2002) His research explores privacy-preserving mechanisms in autonomous systems, trust modeling in blockchain, and cross-disciplinary applications of cryptography. Recent work includes patents on adaptive driving modes and ongoing studies on IoT vulnerabilities and autonomous coordination. Notable awards include the Excellence and Innovation in Undergraduate Teaching Award (2023), NAI Induction (2022), and multiple Best Paper Awards . His publications span journals like Information and Computation and conferences such as GameSec and IEEE Blockchain . He mentors graduate students in cybersecurity bootcamps, high school outreach programs, and collaborative research projects funded by NSF , ARO-AFOSR , and AFRL . His lab emphasizes diversity and inclusion, particularly supporting underrepresented groups in STEM.

• Hydraulic Engineering
• Hydrology
• Computational Hydraulics
• +6 more

Alessia Ferrari is a fixed-term researcher in the Department of Engineering and Architecture at the University of Parma, Italy. She lectures on Hydrology within the Bachelor’s degree programme in Civil and Environmental Engineering and serves as the reference teacher for the same programme across multiple academic years (2020/2021 – 2025/2026). Research Focus Ferrari’s research integrates advanced numerical modelling with real-world flood-risk management. Key themes include: High-resolution 2-D shallow-water simulations using GPU-parallel codes. Porosity-based approaches for large-scale urban flood modelling. Levee-breach hydraulics and emergency-action planning. Calibration of hydraulic models using tools such as PEST. Integration of machine-learning techniques with physics-based flood forecasting. Publication Trends Across more than 25 peer-reviewed works (2015-2025), Ferrari has concentrated on computational hydraulics applied to extreme flood events in Northern Italy (e.g., Parma 2014, Lamone 2024). Her papers consistently advance numerical schemes (ADER, HLLEM Riemann solvers) and GPU acceleration while validating models against field data, thereby bridging theoretical development and practical flood-mitigation strategies. Contact & Office E-mail: alessia.ferrari@unipr.it Office: Science and Technology Campus – Pavilion 10, Engineering Scientific Headquarters, Parco Area delle Scienze 181/A, 43124 Parma, Italy.

• Glacial Geomorphology
• Palaeoglaciology
• Quaternary Science
• +6 more

Professor David J.A. Evans is a distinguished glacial geomorphologist at Durham University's Department of Geography. His research spans three interconnected themes at the interface of glacial geology and Quaternary science, focusing on palaeoglaciology and the reconstruction of former glaciers and ice sheets through time. With extensive field experience across the Arctic, North Atlantic, and Southern Hemisphere, he has contributed significantly to the understanding of glacial landscapes and processes globally. BA (Hons), St. David's University College, University of Wales, Lampeter, 1982 MSc, Memorial University of Newfoundland, Canada, 1984 PhD, University of Alberta, Canada, 1988 Professor Evans' research centers on glacial landsystems, glacial sedimentology, and Quaternary palaeoenvironments of glaciated basins. His work develops conceptual landsystems models for glacial process-form relationships, with field sites ranging from the Canadian High Arctic to mid-latitude mountains. He has pioneered research connecting subglacial process-form relationships to landform development models, particularly through his studies of active temperate glacier margins in Iceland. His sedimentological work has established a genetically framed classification scheme for tills and glacitectonites. Evans has contributed to major ice sheet reconstructions worldwide, including the British and Irish Ice Sheet (through the BRITICE-CHRONO project), Laurentide Ice Sheet, and Arctic Norway. His extensive publication record demonstrates consistent research activity with 15 recent articles focusing on ice sheet dynamics, glacial landform evolution, and Quaternary environmental reconstruction across multiple continents. These works reveal a strong emphasis on methodological innovation in mapping and analyzing glacial landscapes, with increasing integration of remote sensing and quantitative approaches to understand both contemporary glacier behavior and past ice sheet dynamics. Scientific Recognition: Busk Medal (Royal Geographical Society), 2017, for excellence and originality in the study of glacial landscapes and processes and empowering the next generation Professor Evans has collaborated extensively with international research teams on major projects including BRITICE-CHRONO and has contributed to engineering geology applications through technical guides for glaciated terrains. His work bridges pure academic research with practical applications in engineering geology and environmental management. He has supervised numerous field guides and edited influential publications in glacial geomorphology. His research involves extensive fieldwork in Iceland (particularly on the Vatnajökull ice cap), the British Isles, Canadian Arctic, and other glaciated regions, often using modern glacier systems as analogues for reconstructing past ice sheets. Evans has developed significant expertise in glacial landsystem mapping and interpretation, contributing to both academic understanding and practical engineering applications in glaciated terrains.

Nicholas M. KanaanView profile

Professor

• Neurodegenerative Diseases
• Alzheimer's Disease
• Parkinson's Disease
• +6 more

Nicholas M. Kanaan is a Professor of Translational Neuroscience and holds the Maibach Smiley Professorship of Alzheimer's Research at Michigan State University's College of Human Medicine. He serves as Director of Advanced Microscopy and is faculty in both the MSU Neuroscience Program and the MSU BioMolecular Science Gateway. His research is centered at the Grand Rapids Research Center where he leads the Kanaan Laboratory. Dr. Kanaan received his B.S. in Neuroscience, Psychology, and Sociology from Central Michigan University in 2001, followed by a Ph.D. in Neurological Sciences from Rush University Medical Center in 2007. He completed postdoctoral training at Northwestern University from 2007-2010 under Dr. Lester Binder. His research focuses on neurodegenerative diseases, particularly Alzheimer's disease (AD) and Parkinson's disease (PD), with emphasis on tau protein pathology. The Kanaan Lab investigates mechanisms underlying degenerative diseases using a combination of in vitro and in vivo model systems. A major focus is understanding how disease-related alterations in tau cause neuronal dysfunction through disruption of axonal transport. His lab has identified a phosphatase-activating domain (PAD) in tau that inhibits anterograde fast axonal transport. Analysis of Dr. Kanaan's publication record reveals a consistent focus on tau protein biology, with recent work emphasizing iPSC models, CRISPR screening, tau proteostasis, and therapeutic interventions targeting tau phosphorylation and oligomerization. His research spans basic molecular mechanisms to translational applications, with increasing use of primate models and advanced screening technologies in recent years. Scientific Awards and Recognition: Maibach Smiley Alzheimer's Research Professor Maibach Smiley Professor of Alzheimer's Research Dr. Kanaan mentors numerous students and postdoctoral fellows in his laboratory, with research supported by multiple grants focused on understanding and treating neurodegenerative diseases. His lab employs a wide range of technical expertise including recombinant protein purification, cell culture, monoclonal antibody production, various microscopy techniques, and behavioral testing in rodent models. Outside the lab, Dr. Kanaan enjoys photography, woodworking, and fishing.

• Quantum Chromodynamics (QCD)
• Heavy Quark Physics
• Lattice Gauge Theory
• +4 more

Antonio Vairo is a full Professor at the Department of Physics, TUM School of Natural Sciences, Technical University of Munich, where he holds the Chair of Theoretical Physics - Applied Quantum Field Theory (T39) at the James-Franck-Str. 1/I campus in Garching bei München. His research focuses on the theoretical foundations of quantum chromodynamics with emphasis on heavy quark systems and non-perturbative phenomena. Professor Vairo's primary research interests include Quantum Chromodynamics (QCD), Heavy Quark Physics, Lattice Gauge Theory, Effective Field Theories, and Exotic Hadron Spectroscopy. His work bridges computational approaches with analytical frameworks to investigate quarkonium dynamics in extreme environments like the quark-gluon plasma, while developing novel applications of Born-Oppenheimer effective theory to multi-quark systems. Recent investigations extend into dark matter bound state formation in the early universe, demonstrating interdisciplinary reach across particle physics and cosmology. Analysis of his 2024-2025 publications reveals three dominant research thrusts: (1) quarkonium suppression mechanisms in heavy-ion collisions using open quantum systems approaches, (2) high-precision lattice QCD computations of static forces and chromoelectric correlators, and (3) systematic development of effective field theories for exotic hadrons and dark matter pairs. His work on pNRQCD (potential non-relativistic QCD) provides critical connections between lattice results and experimental observables in heavy-ion physics. Professor Vairo maintains active research leadership through collaborations with international groups including the Belle II experiment, as evidenced by his contributions to 'The Belle II Physics Book'. His methodological innovations in applying quantum trajectory methods to quarkonium evolution and developing FeynOnium computational tools for effective field theories demonstrate significant technical contributions to the field. Current research directions emphasize next-to-leading order corrections in heavy quark dynamics and Debye mass effects in dark matter bound state formation.