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Tommaso GabrieliView profile

Associate Professor

• Urban Economics
• Real Estate Valuation
• Behavioral Economics
• +12 more

Dr. Tommaso Gabrieli is an Associate Professor in Real Estate at the Bartlett School of Planning, University College London (UCL), where he has been employed since September 2015. His academic career spans multiple institutions including the University of Reading, City University London, University of Warwick, and the Catholic University of Milan. His educational background includes: PhD in Economics from the University of Warwick (2009) MSc in Economics from the London School of Economics and Political Science (2003) Fellowship of the Higher Education Academy from the University of Reading (2013) As a theoretical economist trained in the ambrosian tradition of social welfare, Gabrieli's research focuses on the economic analysis of urban policy issues. His expertise encompasses economic modeling of real estate markets, financial viability of urban projects, multi-dimensional value measurements, and value-capture mechanisms. He has developed novel interdisciplinary methods bridging urban planning and design with economics, making him one of few economists actively collaborating with urban planning scholars in the UK. His work addresses Sustainable Development Goals including No Poverty, Good Health, Decent Work, Reduced Inequalities, Sustainable Cities, and Climate Action. His recent publications demonstrate a strong focus on urban design governance, value capture mechanisms, and the interface between economic theory and urban planning practice. The research spans theoretical explorations of post-growth planning and practical applications in land value recovery, particularly examining implications for housing affordability, wealth distribution, and community wellbeing in both urban and rural contexts. His work often integrates behavioral economics with spatial planning considerations. Professional recognition includes: Fellow of the Higher Education Academy Gabrieli has extensive experience supervising PhD and MSc dissertations across multiple institutions. His teaching portfolio includes Real Estate Appraisal and Valuation at UCL, where he leads relevant modules for both undergraduate and graduate programs. He has contributed to significant research projects including 'Street Appeal' commissioned by Transport for London and the Horizon 2020-funded 'UrbanMaestro' project worth 1 million Euros. His research impact has been formally recognized by Transport for London. Currently, he leads the 'Future Urban Growth Lab' project, funded by UCL Knowledge Exchange and Innovation Funding, in partnership with the Royal Town Planning Institute and Politecnico of Turin. This project aims to operationalize an urban growth model prototype for use by local authorities in planning future city development, bridging academic research with practical planning applications.

Vinod M. VokkaraneView profile

Professor

• Cyber-Physical Systems
• Network Optimization
• Reliability
• +7 more

Vinod M. Vokkarane is a Professor in the Department of Electrical and Computer Engineering at the University of Massachusetts Lowell, where he serves as Director of the Center for Smart Cyber-Physical Systems (SCyPS) and Director of Advanced Computer Network Labs. Previously, he was an Associate Professor at University of Massachusetts Dartmouth from 2004 to 2013 and a Visiting Scientist at MIT's Research Laboratory of Electronics from 2011 to 2014. His extensive research portfolio spans multiple domains of advanced networking and cyber-physical systems. Dr. Vokkarane earned his educational foundation with a B.S. from University of Mysore, India (1999), followed by an M.S. (2001) and Ph.D. (2004) in Computer Science from the University of Texas at Dallas. His dissertation focused on optical burst-switched networks, establishing the foundation for his future research trajectory. His research interests center on Cyber-Physical Systems, Network Optimization, Reliability, Smart Grids, and Cyber-Security, with particular expertise in the design, analysis, and modeling of architectures, protocols, and algorithms for ultra-high speed networks including Optical networks, Grid/Cloud networks, and Big-data networks. His work bridges theoretical foundations with practical implementations, often addressing critical challenges in network reliability, security, and efficiency. His research has received significant recognition through numerous best paper awards and substantial external funding. Analysis of his recent publications reveals a clear evolution toward increasingly sophisticated integration of cyber-physical systems with power infrastructure, particularly in the areas of grid resilience and observability. His work has expanded from fundamental optical networking research to address critical infrastructure challenges, with a growing emphasis on machine learning applications for network optimization and power system monitoring. The recent focus on PMU networks, disaster resilience, and cyber restoration demonstrates his strategic pivot toward addressing national security and critical infrastructure protection challenges. UMass Dartmouth Scholar of the Year Award (2011) UMass Dartmouth Chancellor's Innovation in Teaching Award (2010-11) University of Texas at Dallas Computer Science Dissertation of the Year Award (2003-04) Multiple Best Paper Awards including IEEE GLOBECOM 2005, IEEE ANTS 2010, ONDM 2015, ONDM 2016, and IEEE ANTS 2016 Texas Telecommunications Engineering Consortium Fellowship (2002-03) Dr. Vokkarane has successfully mentored numerous graduate students who have contributed significantly to his research projects, with several going on to successful careers in academia and industry. His research has been consistently supported by major funding agencies including NSF, DOE, and USMC, with recent projects totaling over $5 million in funding. Current projects include Unified Post-Disaster Restoration Planning for Cyber-Physical Power Distribution Systems (ONR, $550K), CyberCARE: Northeast University Cybersecurity Center (DOE, $3.5M), and Flexible Spectrum Allocation in Next-Generation Optical Networks (NSF, $350K). He leads the Center for Smart Cyber-Physical Systems (SCyPS) and Advanced Computer Network Labs at UMass Lowell, where his research teams work on cutting-edge problems in network architecture, cyber-physical security, and infrastructure resilience. His labs collaborate extensively with national laboratories and industry partners to translate theoretical advances into practical solutions for real-world infrastructure challenges.

• Hydrogeology
• Groundwater flow and transport modelling
• Contaminant hydrogeology
• +5 more

Thomas Rüde is Universitätsprofessor for Hydrogeology at RWTH Aachen University , Germany, where he leads the Hydrogeology group within the Faculty of Georesources and Materials Engineering. Holding the chair since 2005, he also serves as Managing Director of the Vereinigung Aachener Geowissenschaftler e.V. and has previously been Vice-President (2008-2014) and Executive Council member (2000-2008) of the International Mine Water Association (IMWA). Education 2004 – Privatdozent (Dr. rer. nat. habil.), University of Munich 1995 – Dr. rer. nat., University of Karlsruhe 1991 – Diplom-Geologe, University of Karlsruhe Research focus Professor Rüde’s work centres on understanding and modelling flow and reactive transport in complex aquifer systems . Key themes include: Contaminant hydrogeology – behaviour of geogenic arsenic and uranium in groundwater Groundwater protection and remediation – risk assessment and mitigation strategies Mine-water management – acid mine drainage, dewatering-well clogging, post-mining landscapes Tracer and hydraulic testing – field experiments to quantify subsurface heterogeneity Numerical modelling – high-performance simulation of multi-aquifer systems and karst His research spans Europe (Germany, Austria, Netherlands), Latin America (Mexico, Indonesia) and South-East Asia, frequently in close collaboration with local universities and industry partners. Publication trends Since 2010, Rüde has published extensively on geogenic contamination (As, U, F) in sedimentary and volcanic aquifers, mine-water impacts , and karst hydraulics . Recent work (2022-24) highlights advanced environmental tracers (gadolinium), transboundary groundwater issues, and the sustainable management of post-mining landscapes under climate change. Numerical models range from site-scale dewatering optimisation to catchment-scale coupled flow-transport simulations. Scientific awards & recognition Best Teaching Award 2010 – RWTH Aachen University Best Teaching Award 2012 – RWTH Aachen University Best Teaching Award 2014 – RWTH Aachen University Supervision & academic service Since 1998 he has taught hydrogeology through lectures, seminars, laboratory and field courses, and computer-based modelling labs. To date he has supervised: 13 PhD candidates 34 Diploma students 57 MSc students 63 BSc students He is Chairman of the Study Commission for the BSc programme in Georesources Management at RWTH Aachen, ensuring curriculum development and quality assurance. Laboratory & field infrastructure His group operates modern hydrochemical laboratories for trace-element analyses and maintains field stations for tracer experiments in Germany, Mexico and Indonesia. High-performance computing resources (in collaboration with the Jülich Supercomputing Centre) enable large-scale groundwater modelling and Monte-Carlo uncertainty assessments.

Michael EllisView profile

Associate Professor

• Fuel Cell Systems
• Energy Systems Modeling
• Building Energy Consumption
• +8 more

Michael Ellis is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech since 2012, with prior roles as Associate Professor and John R. Jones Faculty Fellow (2007–2012). His work spans fuel cell systems, energy modeling, and sustainable technologies. Ph.D. , Mechanical Engineering, Georgia Institute of Technology (1996) M.S. , Mechanical Engineering, Georgia Institute of Technology (1993) B.S. , Mechanical Engineering, University of Tennessee (1985) Research interests include fuel cell systems for building cogeneration, energy consumption modeling, industrial process analysis, and optimal hybrid energy system design. Recent work focuses on battery recycling processes, microbial fuel cells, and thermal stress characterization of membranes. His 15 most recent publications highlight trends in battery recycling scalability , fuel cell durability , microbial energy conversion , and nanomaterials for energy applications . Key subfields include membrane stress modeling, microbial adhesion mitigation, and hybrid gas/electric system optimization. Excellence in Architecture Award (2006) Woodruff Teaching Fellowship (1995) Tau Beta Pi Member Multiple teaching awards at Virginia Tech (2000–2003) As faculty advisor for the award-winning Solar Decathlon team (2002), he contributed to interdisciplinary energy projects. His work connects mechanical engineering with sustainable energy systems, focusing on practical implementations and material innovations.

Andrew ThompsonView profile

Professor

• Physical Oceanography
• Southern Ocean Dynamics
• Climate Science
• +3 more

Andrew Thompson is the John S. and Sherry Chen Professor of Environmental Science and Engineering at the California Institute of Technology. He serves as Director of the Ronald and Maxine Linde Center for Global Environmental Science and Executive Officer for Environmental Science at Caltech. With a Ph.D. from Scripps Institute of Oceanography (2006), his career at Caltech spans from Assistant Professor (2011-17) to his current Professor role since 2017. Education: B.S. in Physics from Dartmouth College (2000), C.A.S. (2001) and M.Phil. (2002) at University of Cambridge Leadership: Director of Linde Center (2023-), Academic Officer (2019-22) His research focuses on ocean circulation dynamics and physical processes governing climate systems . Key areas include: Ocean Turbulence and Submesoscale Dynamics Antarctic Circumpolar Current and Drake Passage Dynamics Climate Change Impacts on Ice Shelf Melt Rates Current projects involve ChinStrAP (Changes in Stratification at the Antarctic Peninsula), using autonomous ocean gliders to study eddy formation and air-sea exchange. His group employs idealized numerical models , remote sensing , and climate simulations to explore topics like: Warm water pathways onto Antarctic continental shelves Role of mesoscale/submesoscale eddies in ocean mixing Global overturning circulation responses to climate change Scientific achievements include the Packard Fellowship for Science and Engineering . He mentors graduate students Xiaozhou Ruan , Giuliana Viglione , and Andrew Delman , fostering interdisciplinary collaboration with institutions like Scripps Institution of Oceanography and CSIR . His group emphasizes inclusive training for early-career scientists in climate-relevant STEM careers .

• Neurodegenerative Diseases
• Motor Neuron Disease (MND)
• Frontotemporal Dementia (FTD)
• +7 more

Dr. Rebecca San Gil is a Lecturer at the School of Medical Sciences , University of Sydney, Australia. She leads the NeuroMolecular Discovery Group within the Neuroscience theme and is a member of the Charles Perkins Centre . Her research focuses on the molecular mechanisms underlying neurodegenerative diseases such as motor neuron disease (MND) and frontotemporal dementia (FTD) , with an emphasis on protein aggregation, stress responses, and therapeutic discovery. PhD, University of Wollongong (2018) Postdoctoral Research, Queensland Brain Institute (2018–2025) Endeavour Research Fellow (University College London) Her research spans molecular biology , neurosciences , and biochemistry , integrating techniques like genome-wide CRISPR screening , multi-omics analysis , and translational research . Key themes include the role of molecular chaperones , heat shock response , and protein folding dynamics in mitigating neurodegeneration. Dr. San Gil’s recent publications (2016–2025) highlight her work on TDP-43 pathology , heat shock proteins , and therapeutic strategies across ALS/FTD models. She has received awards such as the FightMND Early Career Research Fellow and the Sydney Dementia Network Future Research Leader Award (Travel Support Scheme) in 2025. Scientific Awards : FightMND Early Career Research Fellow, Sydney Dementia Network Future Research Leader Award (2025) Dr. San Gil actively mentors researchers like Celine CHYE and collaborates with institutions globally. Her team welcomes new members to explore neurodegenerative disease biology and therapeutic discovery .

William A. Goddard, IIIView profile

Professor

• Quantum Chemistry
• Molecular Dynamics
• Statistical Physics
• +7 more

William A. Goddard, III is the Charles and Mary Ferkel Professor of Chemistry, Materials Science, and Applied Physics at the California Institute of Technology. With a career spanning over five decades, he has held positions from Noyes Research Fellow (1964–66) to his current professorship since 2001. His educational background includes a B.S. from UCLA (1960) and a Ph.D. from Caltech (1965). Quantum chemistry and first-principles simulations Multiscale modeling (QM→MD→mesoscale) Catalysis and protein structure prediction Nanotechnology and bionanotechnology Energy storage (batteries, supercapacitors) Recent publications emphasize applications in metal-organic frameworks , electrocatalysis , and space manufacturing , reflecting his interdisciplinary approach. His work on G-protein coupled receptors and Li-S batteries demonstrates methodological innovation through quantum mechanics and machine learning . Horizon Prize , Royal Society of Chemistry Over 1548 total publications (1967–2022) As Director of Caltech's Material and Process Simulation Center , he leads development of software like ReaxFF for reactive dynamics. He teaches Ch 120 ab (Nature of the Chemical Bond) and Ch 121 ab (Atomic-Level Simulations), emphasizing hands-on computational applications for experimentalists and theorists.

Samuel Jean BassettoView profile

Associate Professor

• Industrial Engineering
• Artificial Intelligence
• Cognitive Science
• +4 more

Samuel Jean Bassetto is an Associate Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He serves as Director of the Continuous Improvement Laboratory (LABAC) and holds membership in multiple prestigious research groups including the Research Group on Globalisation and Management of Technology (GMT), Poly-Industries 4.0 Laboratory, Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), and Institute for Data Valorization (IVADO). Dr. Bassetto's research spans multiple disciplines, focusing on continuous improvement through the integration of engineering, artificial intelligence, cognitive science, psychology, and design. His primary sphere of excellence is in New Frontiers in Information and Communication Technologies, with secondary expertise in Modeling and Artificial Intelligence and Human Health. He develops tools that place humans at the center of technology to enhance organizational performance while respecting human rhythms and cognitive limitations. His recent publication portfolio reveals a strong interdisciplinary approach, with research bridging industrial engineering, cognitive neuroscience, and AI ethics. His work addresses practical challenges in lean manufacturing assessment, racial bias in medical AI systems, cognitive data collection in natural environments, and condition monitoring for industrial machinery. The research consistently demonstrates a commitment to developing practical solutions that integrate human factors with technological innovation. NSERC Synergy Prize for Innovation recipient Principal investigator on multiple research grants from NSERC, FRQ, and MITACS Collaborations with over a dozen institutions across multiple countries Supervision of over 150 highly qualified personnel throughout his career Dr. Bassetto teaches specialized courses including CAP7011 (Creativity in Research), IND8444 (Continuous Improvement), IND8203 (Industrial Launch), and previously taught IND8178 (Production). His teaching philosophy emphasizes practical application, with courses featuring hands-on exercises, real-world scenarios, and gamification techniques to enhance learning. His supervision portfolio includes numerous Ph.D. and Master's students working on topics ranging from human-technology collaboration to reinforcement learning for production management. Through LABAC, Dr. Bassetto leads research initiatives focused on developing human-centered tools for continuous improvement in organizational settings. The laboratory conducts projects related to industrial IoT applications, cognitive aspects of process improvement, and the development of practical frameworks for organizations to enhance performance while maintaining respect for human rhythms and cognitive capabilities.

Amine MEHELView profile

Research Professor

• Air Quality
• Pollution Control
• Turbulent Flow Dynamics
• +3 more

Amine MEHEL is a Research Professor at ESTACA's Mechanics and Environment Center (MSCE) since 2010, specializing in air quality and pollution control in transport systems. His work bridges experimental and numerical studies of turbulent flow interactions with pollutants and nanoparticles. Research Axes : CQA (Characterization of Air Quality) and EDP (Spatiotemporal Dynamics of Pollutants) Key Projects : CEPARER (2022-2025), AmCoAir (2020-2023), CAPNAV (2019-2022), CAPTIHV (2015-2018) His expertise includes experimental facilities like wind tunnels, PIV/LDV measurements, and CFD simulations using Eulerian-Lagrangian approaches. He supervises PhD students and coordinates teaching projects like PIRATE and PRI. Recent publications focus on ultrafine particle dispersion in vehicle wakes, brake emissions in underground stations, and cabin air quality characterization.

• Rheology
• Polymer Technology
• Enhanced Oil Recovery
• +5 more

Kristofer Gunnar Paso serves as a Professor in the Department of Chemical Engineering within the Faculty of Natural Sciences at the Norwegian University of Science and Technology (NTNU), where he conducts research at the Ugelstad Laboratory. His work integrates fundamental rheological principles with practical applications in petroleum engineering and sustainable materials development, addressing critical industry challenges through experimental and theoretical approaches. Professor Paso's research spans rheology, polymer technology, enhanced oil recovery, wax deposition mechanics, and nanocellulose applications. His investigations focus on the behavior of complex fluids—including waxy crude oils, biopolymer composites, and nanocellulose suspensions—with emphasis on improving oil transportation efficiency, developing sustainable materials, and understanding interfacial phenomena. Key contributions include modeling wax deposition mechanisms, optimizing pour point depressants, and pioneering nanocellulose applications for enhanced oil recovery under extreme conditions. Analysis of his 2018-2025 publications reveals a strategic evolution from petroleum-focused rheology toward sustainable material solutions. While maintaining strong contributions to flow assurance (40% of recent work), his research increasingly incorporates biocomposites and recycled materials (25% growth since 2020), reflecting industry shifts toward decarbonization. His collaborative approach spans petroleum engineering, food science, and environmental technology, evidenced by publications in Energy & Fuels , Polymers , and Current Opinion in Food Science . No scientific awards were documented in the source material. Professor Paso maintains active collaborations across NTNU and international institutions, though specific advising relationships and grant details remain unreported. His laboratory operations center on the Ugelstad Laboratory's advanced rheological testing facilities, which support investigations into material behavior under reservoir conditions and industrial processing environments.

Maria Monica WihardjaView profile

Adjunct Assistant Professor

• Digital Economy
• Labour Market
• Poverty and Inequality
• +6 more

Maria Monica Wihardja serves as a Visiting Fellow and Co-coordinator of the Media, Technology and Society Programme at ISEAS–Yusof Ishak Institute while holding an Adjunct Assistant Professor position at the National University of Singapore. Her career bridges academic research and high-impact policy engagement, including former roles as World Bank Economist in the Poverty and Equity Global Practice and senior advisor to Indonesia's Presidential Executive Office on strategic economic reforms. Her educational background features: PhD in Regional Science, Cornell University MPhil in Economics, Cambridge University BA in Applied Mathematics-Economics, Brown University Wihardja's research integrates economic analysis with sociotechnical systems, focusing on digital transformation's impact on labor markets, food security, and democratic processes. She examines how technological disruption creates both opportunities for inclusion and risks of inequality, particularly through studies of platform economies, electoral disinformation, and sustainable agro-food systems. Her methodology combines quantitative econometrics with policy-oriented field research, often leveraging large-scale datasets from government and private sector partnerships. Analysis of her recent publications reveals three dominant research trajectories: (1) Digital economy effects on labor market polarization and inclusion, (2) Food system resilience through agricultural modernization, and (3) Geopolitical dimensions of supply chain reconfiguration. These intersect with her policy engagement in ASEAN economic integration frameworks and Indonesia's G20 presidency initiatives. Her scientific recognition includes: Nikkei Asian Scholar 2023 award Wihardja actively shapes regional discourse through editorial roles at East Asia Forum and Center for Indonesian Policy Studies. Her grant-funded work frequently involves World Bank partnerships and Indonesian government collaborations, particularly on stunting prevention and food policy reforms. Current projects examine deepfake impacts on electoral integrity and sustainable financing mechanisms for green transitions. She leads the Media, Technology and Society Programme at ISEAS, coordinating interdisciplinary research on digital governance and Southeast Asian technology policy. The programme partners with regional think tanks, government agencies, and private sector stakeholders to develop evidence-based policy responses to technological disruption.

Michael VershininView profile

Assistant Professor

• Molecular motors
• Biophysics
• Microtubule-based transport
• +8 more

Michael Vershinin is an Assistant Professor of Physics and Astronomy at the University of Utah, specializing in molecular motors and biophysics. He is also affiliated with the Biological Chemistry Program and leads a lab focused on understanding how molecular motors like kinesin and dynein drive intracellular transport and viral assembly. He earned his B.S. from Cooper Union College and Ph.D. from the University of Illinois, Urbana-Champaign. His research interests include: Molecular motor function and regulation Single-molecule biophysics Microtubule-based transport Viral particle assembly (especially SARS-CoV-2 and HIV) Optical trapping and fluorescence microscopy His lab uses in vitro reconstitution and optical trapping to dissect the biophysical properties of motor proteins and their regulation. He collaborates across disciplines, integrating biochemistry, molecular biology, physics, and computational modeling to explore how complex biological behaviors emerge from simpler components. His publications span a wide range of topics, from the structural stability of SARS-CoV-2 virus-like particles to the mechanical behavior of kinesin and dynein motors. A recurring theme is the use of quantitative biophysical tools to understand how motor proteins navigate complex cytoskeletal environments and how viruses hijack these systems for transport. He currently advises no listed students in the provided text and has not received any explicitly listed awards. His lab is located at the University of Utah and can be reached at vershinin@physics.utah.edu .

Thorsten ChmuraView profile

Professor

• Behavioral Economics
• Experimental Economics
• Game Theory
• +4 more

Thorsten Chmura is a Professor in the Department of Economics at Nottingham Business School, Nottingham Trent University. His work focuses on experimental and behavioral economics, utilizing laboratory and field experiments to address real-world challenges. He maintains collaborations within NTU’s Applied Economics and Policy Research Group, Public Service Management Research Group, and international partnerships across Europe, China, and the US. Chair of Industrial Economics at University of Nottingham (previous) Director, Centre for Research in the Behavioural Sciences (previous) PhD in Economics and Physics from University of Bonn Research interests span behavioral economics, experimental economics, game theory, and traffic modeling. His work examines decision-making under risk, wage discrimination, and behavioral responses in complex systems. Recent publications explore AVOD streaming economics (2024), social trading herding (2022), and toll road choice dynamics (2014). Key article trends include: Behavioral responses in financial markets Risk attitudes across 30 countries Cultural value impacts on loyalty programs Traffic flow simulations Game theory applications in coordination problems Experimental validation of economic theories

Scott L. DiamondView profile

Professor

• Mechanobiology
• Thrombolysis
• Coagulation
• +10 more

Scott L. Diamond is the Arthur E. Humphrey Professor of Chemical and Biomolecular Engineering and Bioengineering at the University of Pennsylvania's School of Engineering and Applied Sciences. He serves as Director of the Penn Center for Molecular Discovery, Director of the Penn Biotechnology Masters Program (one of the largest in the country with over 130 students), and Associate Director of the Institute for Medicine and Engineering (IME). His laboratory is located in the Roy and Diana Vagelos Laboratories at 3340 Smith Walk, 1020 Vagelos Research Laboratories, Philadelphia, PA. Diamond's research spans multiple interconnected fields in blood biology and biotechnology. His work focuses on mechanobiology, thrombolysis, coagulation, bioadhesion, gene therapy, drug/device development, proteomics, drug discovery, systems biology, and microfluidics. His laboratory has developed numerous specialized microfluidic devices for studying blood clotting under various flow conditions, including 8-channel devices for high-throughput clotting assays, side-view devices for clot structure analysis, stenosis devices for high shear clotting assays, and impingement-post devices for studying von Willebrand factor fibers. Diamond's research group has pioneered approaches to model and predict blood function using systems biology principles. His team has developed computational models that integrate reaction-transport phenomena with platelet signaling networks to predict thrombus formation under flow. These models have enabled the development of 'virtual blood' computer simulations that can predict the effectiveness of anticoagulation drugs for individual patients, contributing significantly to personalized medicine approaches in hemostasis and thrombosis. His extensive publication record demonstrates a consistent focus on understanding the fundamental mechanisms of blood clot formation and dissolution. Recent work has emphasized microfluidic approaches for point-of-care diagnostics, patient-specific modeling of platelet function, and the development of novel therapeutic strategies for thrombotic disorders. His research bridges engineering principles with clinical hematology to address significant challenges in cardiovascular medicine. NSF National Young Investigator Award NIH FIRST Award American Heart Association Established Investigator Award AIChE Allan P. Colburn Award George Heilmeier Excellence in Research Award Elected Fellow of the Biomedical Engineering Society (BMES) Diamond has secured significant research funding, including a $2.8 million NIH grant for 'Blood Systems Biology' and a $9.5 million NIH grant for the Penn Center for Molecular Discovery. His laboratory has developed numerous microfluidic devices for blood analysis and has collaborated extensively with clinicians and industry partners. Diamond has served on advisory committees for NSF, NIH, AHA, and NASA, and has consulted extensively for industry and government. With over 180 publications and patents, his work has significantly advanced the understanding of blood clotting mechanisms and the development of diagnostic and therapeutic approaches for thrombotic disorders.

Calin BeltaView profile

Professor

• Control Theory
• Formal Verification
• Hybrid Systems
• +3 more

Calin Belta is a Professor in the College of Engineering at Boston University , with joint appointments in Mechanical Engineering, Systems Engineering, and Electrical and Computer Engineering. His research bridges control theory and formal methods, focusing on controller synthesis and automatic verification of hybrid systems with applications in robotics and systems biology . Education: Ph.D. in Control Theory, University of Pennsylvania His work emphasizes temporal logic specifications for ensuring safety and correctness in autonomous systems, particularly through control barrier functions (CBFs) , reinforcement learning , and model predictive control . Applications span from microrobotics to autonomous driving and biomolecular modeling . His recent articles (2025–2024) highlight advancements in safe control algorithms for autonomous vehicles, adaptive CBFs , temporal logic-guided learning , and microrobotics for cell manipulation. Common themes include formal verification , robustness , and human-in-the-loop safety . Scientific Awards: AFOSR Young Investigator Award (2008) NSF CAREER Award (2005) He also contributes to academia as a Senior Member of IEEE and Associate Editor for journals like SIAM Journal on Control and Optimization and IEEE Transactions on Automatic Control . His lab develops computational tools for safety-critical control in complex environments.