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Ravindra ShindeView profile

Researcher

• Computational Materials Science
• Quantum Chemistry
• Exascale Scientific Computing
• +5 more

Ravindra Shinde is a Research Scientist at the University of Twente , Netherlands, affiliated with the Computational Chemical Physics group under the Faculty of Science and Technology . He is also the founder of The Science Dev , a tech and research blog. Education : Ph.D. in Physics (2014) and M.Sc. in Physics (2009) from IIT Bombay, India. His research spans Exascale Scientific Computing , Quantum Chemistry , Time-Dependent DFT , and Topological Materials . He specializes in method development for quantum mechanical simulations and code modernization for high-performance computing . Recent publications focus on Exascale Computing challenges , Quantum Monte Carlo accuracy, and machine learning integration in force field modeling. Notable awards include SERB Postdoctoral Fellowship and multiple Best Presentation Awards . Scientific Awards : Best Poster Award, UC Riverside (2019) Best Presentation Awards, SERB 2018 & IISc 2018 National Postdoctoral Fellowship, India (2016-2018) All India GATE Physics Rank 73 (2009)

Charles IchokuView profile

Professor

• Earth Observation
• Climatology
• Wildfires and Emissions
• +5 more

Charles Ichoku is a Professor and Director of GESTAR II at the University of Maryland, Baltimore County (UMBC) in the Department of Geography & Environmental Systems. His work focuses on Earth Observation, Climatology, Wildfire Emissions, Atmospheric Composition, and Water Cycle Dynamics in Africa and globally. Ph.D. in Remote Sensing and Environmental Science, Sorbonne Universités – Pierre et Marie Curie, Paris, France (1993) His research spans wildfire monitoring, smoke aerosol emissions, African climate impacts on hydrology, and satellite-based aerosol characterization. Recent trends in his publications highlight fire radiative power, PM2.5 health effects, and intercomparison of emission datasets. He collaborates with NASA, universities, and international teams on projects like FireX-AQ and global aerosol modeling. His lab, GESTAR II, integrates satellite data with ground observations for environmental validation.

Sebastian KnauerView profile

Researcher

• Magnonics
• Quantum Physics
• Materials Science
• +4 more

Sebastian Knauer is a researcher at the Faculty of Physics, University of Vienna, specializing in Nanomagnetism and Magnonics. His work bridges quantum technologies and materials science, focusing on magnonic devices, spin-wave spectroscopy, and magnetic heterostructures. Education: B.Sc., M.Sc., Ph.D. His research explores quantum magnonics, low-temperature magnetism, and inverse-design methodologies. Recent publications emphasize Yttrium-Iron Garnet (YIG) films, paramagnon propagation, and quantum Hamiltonian learning. Key trends in his publications include applications of magnonic computing, hybrid quantum systems, and nanostructured materials. Collaborations span projects like On-chip quantum MagNonIcs and Nanometer-thick YIG layers , with international partnerships in quantum technologies. Scientific awards include: Marie Skłodowska-Curie Individual Fellowship (2021) NFFA-Europe Research Infrastructure grant (2022) Top-10 MSCA Fellowship (2021) He contributes to experimental quantum model learning and advancing spin-wave-based computing architectures.

Michelle HampsonView profile

Professor

• Functional Neuroimaging
• Real-Time fMRI
• Neurofeedback
• +4 more

Michelle Hampson is a Professor of Radiology & Biomedical Imaging at Yale School of Medicine. She holds secondary appointments as an Associate Professor in the Child Study Center and Psychiatry departments, and directs real-time fMRI research at Yale's Bioimaging Sciences Division. Undergraduate: Computing Science, University of Alberta (1993) PhD: Cognitive & Neural Systems, Boston University (1999) Her research focuses on real-time fMRI neurofeedback for clinical populations, particularly targeting disorders like tic disorders, OCD, PTSD, borderline personality disorder, and autism. Key technical interests include resting-state functional connectivity analysis and neuroimaging data harmonization across scanners. Recent publications highlight clinical trials for Tourette Syndrome neurofeedback (2023), OCD treatment (2023), and Parkinson's disease interventions (2022), alongside foundational work on ethical frameworks for neurofeedback (2021) and technical tools like HALO for MR scanner alignment (2022). Her studies frequently appear in Translational Psychiatry , NeuroImage , and Biological Psychiatry . Collaborators include Dustin Scheinost (Yale MR Core), Denis Sukhodolsky (Child Study Center), John Krystal (Psychiatry), and Michael Bloch (Yale Pediatrics). She leads the Hampson Lab, which develops novel brain imaging paradigms combining resting-state analysis with neurofeedback interventions.

Daniel Alonso RamírezView profile

Professor

• Quantum Thermodynamics
• Quantum Entanglement
• Quantum Discord
• +5 more

Daniel Alonso Ramírez is a Full Professor in the Department of Physics at the Faculty of Physics, University of La Laguna (ULL), Spain. He is affiliated with the University Institute of Advanced Studies (IUDEA) and The Institute of Mathematics and Applications, conducting research within the Quantum Physics Group focused on fundamental quantum phenomena. His educational background includes: Undergraduate in Physics from Universidad de La Laguna PhD in Sciences from Universite Libre de Bruxelles Postdoctoral research at Universita degli Studi di Milano (Como) Professor Ramírez's research spans Quantum Thermodynamics (energy transport in quantum thermal machines and trapped ions), Quantum Correlations (Entanglement and Discord in continuous variable systems), Decoherence in hybrid systems, Non-Markovian Quantum Open Systems, and Quantum Chaos (light scattering by black holes). His work bridges theoretical quantum physics with practical applications in quantum information and thermodynamics. Recent publications (2014-2023) demonstrate sustained focus on quantum thermodynamics and non-Markovian dynamics, with significant contributions to understanding thermal machines at quantum scales and energy transport anomalies. The research employs advanced theoretical frameworks in quantum open systems and statistical mechanics. No scientific awards were documented in the provided materials. He has supervised six PhD students including Inés de Vega, Irene Puerto, and Luis Correa. His research group comprises current members Antonia Ruiz, Jose Pascual, Santiago Brouard, Rafael Sala, Fernando Delgado Acosta, and Luis A. Correa. The Quantum Physics Group maintains collaborations with institutions in Belgium, Italy, Spain, USA, and Germany.

• Environmental Soil Chemistry
• Heavy Metal Contamination
• PFAS Pollution
• +7 more

Dr. Jajati Mandal serves as a University Fellow (Environmental Pollution) at the University of Salford's School of Science, Engineering & Environment. His work focuses on addressing pressing environmental challenges related to soil and water contamination, with particular emphasis on agricultural systems. He is affiliated with the Environmental Research Centre and contributes to the University's mission of tackling global sustainability challenges through the UN Sustainable Development Goals, particularly those related to food security, health, and sustainable cities. Dr. Mandal's research interests center on environmental soil chemistry, specifically investigating the behavior and impacts of environmental contaminants including metal(loid)s, PFAS (Per- and Polyfluorinated Alkyl Substances), and tire-rubber chemicals within agricultural ecosystems. His analytical expertise encompasses speciation techniques for metals and metalloids in environmental samples (water, soil, plants), while his methodological approach combines laboratory experiments, field studies, and predictive modeling using machine learning algorithms coded in R. He has developed specialized R packages such as 'Inquilab' and 'AdsorpR' for modeling adsorption kinetics. His extensive publication record spanning 2015-2025 demonstrates consistent focus on environmental contamination issues, with recent work (2024-2025) increasingly addressing PFAS contamination, advanced remediation techniques using biochar and nanomaterials, and sophisticated machine learning applications for predicting contamination thresholds. His research shows strong interdisciplinary connections between environmental chemistry, agricultural science, data science, and public health, with practical applications for improving food safety and water quality. Dr. Mandal actively engages in knowledge dissemination through short courses (such as the 2024 course on 'Arsenic and Potentially Toxic Metals in Food and Agroecosystems' which attracted 43 participants) and collaborative initiatives like the Coastal Ecosystem Hub workshop scheduled for June 2025. His work bridges academic research with practical policy implementation, collaborating with organizations like the Mersey Gateway Environmental Trust to translate scientific findings into environmental management strategies.

Greg van AndersView profile

Associate Professor

• Condensed Matter Physics
• Soft Condensed Matter
• Inverse Materials Design
• +5 more

Greg van Anders is an Associate Professor in the Department of Physics, Engineering Physics & Astronomy at Queen's University. His research focuses on the intersection of condensed matter physics, soft condensed matter, and systems physics, with a particular emphasis on inverse materials design, self-assembly, and statistical mechanics. He leads the Greg van Anders Group, which explores emergent phenomena in complex systems, including colloidal crystals, hierarchical materials, and distributed system design. Education: BSc in Applied Math from the University of Western Ontario (2003), PhD in Physics from the University of British Columbia (2008). Before joining Queen's, he held positions at the University of Michigan, including postdoctoral and research faculty roles in Chemical Engineering and Physics. Research interests include entropy-driven organization, robust design principles for engineered systems, and the application of statistical mechanics to industrial design challenges. His group develops novel methods for predicting and controlling material properties through computational and theoretical approaches, such as digital alchemy and inverse design. Recent work highlights include studies on colloidal pre-assembly, neural network training optimization, and the role of shape in material phase transitions. Students and collaborators in the group work on projects ranging from computational morphogenesis to nanocrystal assembly, with funding support from NSERC, Mitacs, and the Vanier Canada Graduate Scholarship program. The group actively promotes diversity and inclusivity in scientific training, welcoming members from varied academic and cultural backgrounds. Key research themes include understanding how entropy promotes local order, designing materials with targeted mechanical properties, and analyzing system robustness through materials-inspired metrics. Recent publications emphasize applications in photonic crystals, self-assembly of anisotropic particles, and the interplay between geometry and thermodynamics in complex systems.

• Nanopore DNA Sequencing
• Computational Materials Science
• 2D Materials Engineering
• +5 more

Maria Fyta serves as a Professor of Biotechnology at RWTH Aachen University's Faculty of Biology, leading research in the Department of Biotechnology from her lab in the Biology Building (Worringerweg 3, Aachen). Her work bridges computational physics, nanotechnology, and molecular biology to develop next-generation biosensing platforms. Her research focuses on nanopore-based DNA/protein sequencing , utilizing 2D materials (graphene, MoS 2 , h-BN) and nanodiamond functionalization for single-molecule detection. Key projects include ionic liquid catalysis systems , computational alloy design , and molecular dynamics simulations of biomolecular translocation. Recent work emphasizes machine learning integration for signal analysis and materials discovery. Analysis of her 15 most recent publications reveals dominant trends in Nanopore engineering for biomolecular sensing Computational materials design of 2D systems and alloys Machine learning applications in nanofluidics While no specific scientific awards are documented in the provided materials, her extensive publication record demonstrates significant contributions to nanotechnology and biophysics. Professor Fyta's group develops advanced simulation frameworks for biomolecular translocation and collaborates on experimental validation of nanoscale devices. Current efforts focus on enhancing read-out capabilities in functionalized nanopores and designing bio-mimetic sequencing platforms.

Ying ChenView profile

Assistant Professor

• Atmospheric Science
• Climate Change
• Air Quality
• +3 more

Dr. Ying Chen is an Assistant Professor in Atmospheric Science at the University of Birmingham's School of Geography, Earth and Environmental Sciences. An expert in climate change and air quality, Dr. Chen focuses on aerosol-cloud-climate interactions, sustainable energy, and climate extremes. Holding a PhD from Leipzig University (2017) and MSc/BSc from Peking and Nanjing Universities, Dr. Chen teaches in Birmingham's MSc Air Pollution Management and Control program. Research interests include: Aerosol-cloud-climate interactions Air quality analysis Machine learning applications in climate science Climate tipping points and carbon budgets Recent publications (2023-2025) demonstrate expertise in pollution transport modeling, monsoon system interactions, and renewable energy climate impacts. Dr. Chen holds editorial roles at Frontiers in Environmental Science and Atmosphere, and has contributed to patents in wind/solar power forecasting methods. Scientific involvement includes: Member of AGU, EGU, and Royal Society of Chemistry Reviewer for prestigious journals (Nature, Geophysical Research Letters) Conference chair at International Aerosol Conference 2022

Matteo RinaldiView profile

Professor

• Micro/Nanoelectromechanical Systems (M/NEMS)
• Piezoelectric and Ferroelectric Materials
• Nanoscale Sensors
• +5 more

Matteo Rinaldi is a Professor in the Department of Electrical and Computer Engineering at Northeastern University's College of Engineering and serves as Director of the Institute for NanoSystems Innovation. His work focuses on advanced micro/nanoelectromechanical systems (M/NEMS) for sensing and communication applications. Ph.D. in Electrical and Systems Engineering, University of Pennsylvania (2010) M.Sc. and B.S. in Electronic Engineering, University of Rome Tor Vergata (2007, 2004) Research Interests: Rinaldi's research spans fundamental and applied aspects of piezoelectric nanomaterials, with emphasis on Aluminum Nitride (AlN) and Scandium Aluminum Nitride (ScAlN) based NEMS Plasmonically enhanced infrared and chemical sensors Low-power reconfigurable radio communication systems Integration of MEMS/NEMS with electronics Nanomaterials for harsh environments Publications & Research Trends: Rinaldi's recent work explores high-frequency resonators, infrared detection systems, and zero-power sensing technologies. Key trends include plasmonics for energy-efficient devices, ScAlN integration for improved performance, and machine learning applications in nanoscale device design. Scientific Recognition: 2025 IEEE IFCS Walter G. Cady Award 2024 Northeastern Global Network Accelerator Award Optica Fellow IEEE Sensors Council Early Career Award DARPA Young Faculty Award NSF CAREER Award Advising & Funding: Rinaldi advises graduate researchers like Antea Risso. His lab secures major grants from DARPA, NSF, DOE, and the Bill & Melinda Gates Foundation, focusing on next-generation sensing technologies and 6G communication systems. Research Infrastructure: Leads the Northeastern Sensors & Nano Systems Laboratory (NS&NS Lab) and co-directs the bicoastal Institute for NanoSystems Innovation with Boston and Oakland campuses, advancing nanoscale semiconductor technologies.

• Quantum Physics
• Atomic Physics
• Condensed Matter Physics
• +4 more

Prof. Florian Schreck is a faculty member at the University of Amsterdam's Faculty of Science, specializing in quantum physics and atomic systems. His research focuses on ultracold quantum gases, laser cooling techniques, and the creation of novel quantum states such as Bose-Einstein condensates and degenerate Fermi gases. He leads experimental efforts in manipulating and imaging atomic systems, with applications in quantum technologies and precision measurement. Key research areas include Feshbach resonances, ultracold molecules, and the development of advanced trapping and cooling methods. Collaborative projects like iSense aim to deploy cold-atom-based sensors for gravitational studies. His work bridges fundamental physics with technological innovations, contributing to fields such as quantum computing and space-based experiments. Prof. Schreck's laboratory at Science Park 904 (Room C4.257) supports cutting-edge experiments, and his email F.Schreck@uva.nl is available for academic inquiries.

Lauren DevineView profile

Professor

• Corpus Linguistics
• Family Justice Studies
• Child Protection
• +3 more

Professor Lauren Devine is a Professor of Language and Law at Aston University's Aston Law School. She holds multiple qualifications including a PhD in Law from the University of Birmingham and a MA in Corpus Linguistics from Lancaster University. Her research focuses on intersections between language, law, and child protection, with particular emphasis on corpus linguistics methods applied to legal discourse analysis. Education: LL.B.(Hons) from University of the West of England LL.M from University of Bristol M.A. (Research Methods) from University of Birmingham M.A. (Corpus Linguistics) from Lancaster University Ph.D. (Law) from University of Birmingham Her research interests span child protection strategies, safeguarding mechanisms, and legal discourse analysis using corpus linguistics. She has led over £3.5m in research projects including analyses of risk assessment algorithms in child welfare cases and corpus-based evaluations of legal documentation in family courts. Notable projects include the Care Cases Crisis series funded by the Nuffield Foundation, and Mind your Language exploring expert reports in family law. Professor Devine has supervised doctoral research on topics like corpus analysis of family justice systems and statutory interpretation of threatening communications. She is a media commentator featured on BBC and Channel 4 News, and advises on legal and policy matters through her role as a Barrister of Inner Temple. Current PhD supervision focuses on corpus linguistics applied to child protection law and safeguarding. Key Awards: Fellow of the Higher Education Academy Grants: £350k Nuffield Foundation grant for Care Cases Crisis (Part 1) £250k ESRC grant for Risk of Risk algorithm study She leads the Centre for Language and Law's seed projects developing specialized corpora for vulnerability analysis, and maintains affiliations with Lancaster University as a Visiting Professor.

Linga Reddy CenkeramaddiView profile

Professor

• Cyber-Physical Systems
• Autonomous Systems
• Robotics and Automation
• +7 more

Linga Reddy Cenkeramaddi is a **Professor** in the Department of Information and Communication Technology at the University of Agder (UiA), Norway. He holds a PhD in Electrical Engineering from NTNU (Trondheim, Norway) and Master’s degrees from IIT Delhi and IIT Chennai. His research focuses on Cyber-Physical Systems (CPS), Autonomous Systems, Robotics, AI/ML, Wireless Sensor Networks, and 5G/6G-enabled technologies. He leads projects such as LUCAT (UAV communication tracking) and INCAPS (Indo-Norwegian collaboration in CPS). **Education**: PhD (NTNU), MSc in Physics (IIT Chennai), MSc in Integrated Electronics (IIT Delhi). **Research Interests**: Energy-efficient wireless communication, autonomous vehicles, edge intelligence, mmWave sensing, and smart cities. **Teaching**: Courses include embedded systems, mmWave sensing, and wireless prototyping. **Key Contributions**: Developed low-power embedded systems, contributed to UAV communication protocols, and pioneered AI-driven healthcare solutions. **Grants**: Co-PI in the INMOST offshore mechatronics project. **Labs/Teams**: Autonomous and Cyber-Physical Systems (ACPS), Electronics and IoT (E&IOT), Intelligent Mechatronics (iTron). His work bridges academia and industry, impacting healthcare, smart agriculture, and environmental monitoring. Future research includes multi-modal sensing, multi-agent systems, and 6G communication integration with AI.

• Wildfire air quality and health impact
• Atmospheric Composition
• Emission
• +3 more

Dr. Yunyao Li is an Assistant Professor in the Department of Earth and Environmental Sciences at The University of Texas at Arlington. Her research focuses on wildfire air quality impacts, atmospheric composition modeling, and ensemble forecasting systems for environmental hazards. She collaborates with NOAA, NASA, and other agencies to advance predictive capabilities for air quality decision-making. Research Interests: Wildfire air quality and health impact Real-time forecasting systems Data assimilation techniques Extreme weather-climate interactions Her recent work analyzes multi-model ensemble approaches to improve wildfire smoke predictions, with applications in public health risk mitigation. Publications demonstrate innovations in plume-rise parameterizations, satellite data integration, and subseasonal forecasting. Awards: National Center for Women & IT Educator Award (2025) GeoCAFE Scholar (2024) AGU GeoHealth Elevator Pitch Winner (2023) Dr. Li mentors graduate students in atmospheric science projects ranging from fire plume modeling to machine learning applications. She serves on AGU committees and contributes to WMO wildfire advisory initiatives.

• Marine Science
• Coastal Ecosystems
• Automated Monitoring
• +7 more

Professor Rod Connolly is a marine scientist and academic at Griffith University, holding the position of Professor in Marine Science within the School of Environment and Science (Department of Environment and Marine). He leads the Coastal and Marine Research Centre and the Global Wetlands Project at Griffith University. His work focuses on automated monitoring of marine ecosystems, including reefs, seagrass, saltmarsh, and mangroves, using tools like chemical tracers and deep learning algorithms to assess ecosystem health and blue carbon sequestration. He chairs scientific panels managing water quality and habitat conservation globally. Connolly teaches undergraduate and postgraduate courses in estuarine ecology and has supervised over 30 doctoral students. His research addresses urbanization, climate change, and ecosystem resilience, with a strong emphasis on applied solutions for sustainable coastal management. Education: PhD in Marine Science from the University of Adelaide. Research Interests: Automated marine ecosystem monitoring Deep learning analysis of marine imagery Ecology of coral reefs, seagrass, and mangroves Climate change impacts on marine systems Ecosystem resilience and spatial conservation planning Key Contributions: Developed AI-driven methods for fish surveys and coastal monitoring. Advanced understanding of blue carbon dynamics in coastal wetlands. Guided restoration strategies for shellfish reefs and mangroves. Grants & Collaborations: Led over 140 funded projects, including collaborations with government agencies (e.g., NSW Department of Primary Industries), NGOs (e.g., The Goodman Foundation), and international partners (e.g., Water and Environmental Association of the River Kymi). Major grants include $954,836 from the Australian Research Council for wetland assessment studies. Labs & Teams: Directs the Coastal and Marine Research Centre and contributes to the Australian Rivers Institute, fostering interdisciplinary coastal research.