جست‌وجوی استاد و پژوهشگر

Vijayanarasimha Hindupur Pakkaمشاهده پروفایل

مدرس ارشد

• Electrical Power Systems Analysis
• Smart Grids
• Microgrid Operation and Control
• +۲۵ مورد دیگر

Vijayanarasimha Hindupur Pakka is a Senior Lecturer in Electrical Power Systems & Smart Grids at De Montfort University, UK, based in the School of Engineering and Sustainable Development within the Faculty of Computing, Engineering and Media. He is affiliated with the Institute of Energy & Sustainable Development (IESD) and the Engineering & Physical Sciences Institute (EPSI), contributing to cutting-edge research in sustainable energy systems and smart grids. Education: PhD in Computer Science, University of Southampton, UK (2005–2009) MSc (Engg) in Electrical Engineering, Indian Institute of Science, Bangalore, India (2002–2004) B.E. in Electrical & Electronics Engineering, Bangalore University, India (1997–2001) PGCertHE, De Montfort University, UK (2016–2017) His research focuses on smart grids, distributed energy integration, microgrid control, voltage regulation, electricity markets, and agent-based modeling. He applies advanced techniques such as machine learning, multi-agent systems, statistical models, and metaheuristics to power system challenges. His teaching includes power system analysis, electrical principles, and power electronics at both undergraduate and postgraduate levels. His recent publications (2022–2024) reflect a strong trend toward intelligent optimization in distribution systems, local energy planning, water quality modeling, and real-time occupancy sensing for energy efficiency. These works span disciplines including electrical engineering, environmental science, and building automation, with a clear emphasis on sustainability, data-driven modeling, and smart infrastructure. Scientific Awards and Recognition: Higher Certificate in Statistics, Royal Statistical Society (2013) Fellow of the Higher Education Academy (FHEA, 2017) Reviewer for EPSRC, Netherlands Organization for Scientific Research, IET, MDPI Energies, and several international journals Vijay Pakka actively supervises MSc and PhD students and has led or contributed to major research grants such as CASCADE, AMEN (EPSRC), and the UKRI-funded CEPREC project. His consultancy includes power and statistical system analysis. He is involved in KTP projects with industry partners like Advanced Infrastructure Technology Ltd and Midas Productions Ltd, focusing on data-driven energy planning and demand optimization. He is a member of IEEE, IET, CIGRE, and the Energy Institute, and regularly presents at international conferences such as CIRED, EEM, and IEEE SmartGridComm. His work bridges technical power systems with socio-economic and behavioral aspects of energy transitions, positioning him at the forefront of interdisciplinary energy research.

Nimer Murshidمشاهده پروفایل

استاد آموزشی

• Nanomaterials
• Chemistry
• Environmental Science
• +۳ مورد دیگر

Nimer Murshid is an Assistant Teaching Professor in the Department of Chemistry at Carnegie Mellon University in Qatar. His research focuses on nanomaterials, environmental science, and computational chemistry, with a particular emphasis on aerogels, nanofluids, and machine learning applications in material characterization. He has contributed to studies on oil and dye removal using advanced materials, thermal radiation analysis, and sustainable energy solutions. His work frequently employs principal component analysis (PCA) and other computational tools to optimize material performance and environmental remediation strategies. Research Interests include: Development and application of nanomaterials for biomedical and environmental uses Thermal and fluid dynamics analysis in nanofluid systems Machine learning-driven material optimization Sustainable energy integration in desalination and wastewater treatment Environmental remediation using advanced composites Recent articles highlight innovations in aerogel efficiency evaluation, nanotube functionalization for cancer diagnosis, and wind energy applications for desalination. Collaborative efforts emphasize sustainable technologies and interdisciplinary approaches to global environmental challenges. Grants and advising activities are not explicitly detailed in the provided information, though his role as a teaching professor suggests active involvement in academic mentorship within the Department of Chemistry.

Matthias Christandlمشاهده پروفایل

استاد

• Quantum Information Theory
• Quantum Cryptography
• Mathematical Physics
• +۳ مورد دیگر

Matthias Christandl is a Professor of Mathematical Sciences at the University of Copenhagen, leading the Quantum for Life Center (Novo Nordisk Foundation) and co-PI of the VILLUM Foundation's QMATH center. He also heads the UCPH Quantum Hub, a cross-faculty initiative. His research focuses on quantum information theory, quantum cryptography, and mathematical physics, with contributions to quantum algorithms, tensor networks, and algebraic complexity. During 2024–2025, he holds the Turing Chair at QuSoft/CWI in Amsterdam, fostering collaborations in quantum software and theory. Education: PhD (2006, University of Cambridge), Diploma (2002, ETH Zurich). Previous roles include Assistant Professorships at ETH Zurich (2010–2014) and University of Munich (2008–2010), and postdoctoral research at Cambridge (2005–2008). Research interests span quantum communication protocols, entanglement verification, and the interplay between quantum mechanics and information processing. His work bridges theoretical computer science, mathematics, and physics, with key results in quantum position verification, tensor rank analysis, and fault-tolerant quantum coding. Scientific awards include ERC Starting (2013) and Consolidator Grants (2018), and election to the Royal Danish Academy of Sciences and Letters (2016). Major collaborations involve QuSoft, CWI, and international teams in quantum information and complexity theory. Grants and leadership: ERC grants, VILLUM Foundation, and Novo Nordisk Foundation funding. His group actively mentors PhD/postdoc researchers and contributes to quantum education via the MSc Quantum Computer Science program.

Davide Caporaleمشاهده پروفایل

پژوهشگر

• Nanomaterials for energy storage
• Energy conversion
• Micro-nano fluidic and atomistic simulations
• +۲ مورد دیگر

Davide Caporale is a pre-doctoral researcher at CIC energiGUNE, focusing on thermal energy storage. He holds a Bachelor’s Degree in Clinical Engineering (2019) and a Master’s Degree in Nanotechnology Engineering (2022) from Sapienza University of Rome. Education: B.Sc. in Clinical Engineering (Sapienza University of Rome, 2019), M.Sc. in Nanotechnology Engineering (Sapienza University of Rome, 2022). His research interests span nanomaterials for energy storage, energy conversion, micro-nano fluidic and atomistic simulations, plasmonic biosensors, and optical cavity microscopy. At CIC energiGUNE, he investigates physicochemical phenomena in nanoporous materials with non-wetting liquids for thermal energy storage applications. Prior to his current role, he worked in the molecular photonics laboratory of Prof. Francesco Michelotti at Sapienza University, optimizing Bloch Surface wave-based breast cancer biomarker detection techniques. He also contributed to the MICOLET project as a junior researcher in collaboration with the Italian Institute of Technology, developing an optical cavity microscope for terahertz diagnosis of deep skin injuries.

C.T. DeGrootمشاهده پروفایل

استادیار

• Wastewater Modelling
• Wastewater-Based Epidemiology
• Sewer Bioprocesses
• +۶ مورد دیگر

C.T. DeGroot is an Assistant Professor in the Department of Mechanical and Materials Engineering at Western University , focusing on wastewater modelling, computational fluid dynamics, and thermal systems. His research spans wastewater-based epidemiology, microalgae photobioreactors, activated sludge processes, and porous media analysis. Education: Ph.D., Mechanical and Materials Engineering, University of Western Ontario, 2012 M.E.Sc., Mechanical and Materials Engineering, University of Western Ontario, 2009 B.E.Sc., Mechanical and Materials Engineering, University of Western Ontario, 2008 Research Interests: Wastewater-Based Epidemiology for pandemic monitoring CFD Modelling of wastewater treatment processes Photobioreactor design for microalgae cultivation Thermal systems optimization in mechanical engineering Porous media analysis for composite materials Gas-liquid mass transfer in environmental systems Recent Publication Trends: 2024: Pioneering wastewater surveillance for SARS-CoV-2 variants 2023: Advancing microalgae biofilm reactor efficiency 2022: Innovations in resin transfer molding thermal models 2021: Editor's Choice Paper on CFD for wastewater treatment 2019: Conference leadership roles in CFD and water professionals Scientific Awards: Editor's Choice Paper (Water Science & Technology, 2019) for work on gas-liquid mass transfer models in wastewater treatment Teaching Activities: Undergraduate: Thermodynamics, Heat Transfer, Finite Element Methods Graduate: Computational Fluid Dynamics, Viscous Flow Professional Contributions: Developed open-source WEdiff library for automatic differentiation in thermal CFD Collaboration with Ontario Wastewater Surveillance Consortium for global SARS-CoV-2 tracking Key roles in CFD Society of Canada and International Water Association

Salvador Dura-Bernalمشاهده پروفایل

استادیار

• Computational Neuroscience
• Multiscale Modeling
• Machine Learning in Neuroscience
• +۶ مورد دیگر

Salvador Dura-Bernal, PhD, is an Assistant Professor in the Department of Physiology and Pharmacology at SUNY Downstate Medical Center. He leads a computational neuroscience lab focused on multiscale brain modeling, machine learning applications in neuroscience, and biomimetic neuroprosthetics. His research bridges molecular, cellular, and systems-level neuroscience through biophysically detailed simulations. Developed NetPyNE, an open-source Python package for multiscale neuronal network modeling Collaborates with Nathan Kline Institute and global computational neuroscience organizations Co-Director of SUNY Downstate's Global Center for AI in Mental Health Research interests include: multiscale cortical circuit modeling, neural coding mechanisms, neuroprosthetic systems using spiking networks, and brain-machine interfaces. His work combines supercomputing simulations with experimental data validation, focusing on thalamocortical interactions and neuromodulatory effects. Recent publications demonstrate his team's success in creating biologically accurate models for motor and auditory cortices, with applications in understanding brain disorders and developing treatment strategies. The lab employs machine learning for model optimization and analysis, including evolutionary algorithms and Bayesian networks. 2024: Theoretical thalamus model for deviance detection 2023: Primary motor cortex model validated with in vivo data 2022: Somatosensory thalamocortical NetPyNE implementation Scientific contributions include: SUNY Downstate Annual Research Day best work (2022) Key developer of NetPyNE software Editorial board member for NeuroML NIH reviewer for BRAIN Initiative The lab trains graduate students and postdoctoral fellows, currently mentoring Joao Moreira (M.Sc.) and three postdocs. Research funding includes NIH grants for integrating NetPyNE with The Virtual Brain tool and developing neuroprosthetic systems that could replace damaged brain regions with in silico models.

Steen Lysgaardمشاهده پروفایل

پژوهشگر

• Computational Materials Science
• Genetic Algorithms
• Battery Technology
• +۵ مورد دیگر

Steen Lysgaard is a Scientific Software Developer at the Department of Energy Conversion and Storage , Technical University of Denmark . His work focuses on computational materials modeling for energy applications, particularly in battery technology and nanoalloy stability . He actively employs genetic algorithms and machine learning to accelerate materials discovery. His research contributes to UN Sustainable Development Goals in clean energy and climate action . Research Trends The 15 most recent publications highlight his expertise in: Computational methods : Integration of Bayesian evolutionary multitasking , genetic algorithms , and DFT simulations for materials design. Battery technology : Studies on aluminum batteries , zinc-air batteries , and ammonia storage systems. Nanomaterials : Structural stability analysis of nanoalloys , metal halides , and charge transport mechanisms in energy storage compounds. Professional Activities He has presented at conferences on topics such as: Atomic Simulation Environment software (2017) Zinc-air battery materials (2018) Strontium ammines (2010) NH3 diffusion in Mg(NH3)6Cl2 (2010) Contact: stly@dtu.dk

• Coordination Chemistry
• Luminescent Materials
• Lanthanide Chemistry
• +۴ مورد دیگر

Dr. Ana de Bettencourt-Dias serves as Chemistry Department Chair and the Susan Magee and Gary Clemons Professor of Chemistry at the University of Nevada, Reno within the College of Science. A full professor since 2013, she previously held administrative roles including Associate Vice President for Research (2015-2019) before returning to full-time research and teaching. Her academic journey spans institutions including Syracuse University and UC Davis, with foundational work in titanium CVD precursors and fullerene electrochemistry. Her educational background includes: Licenciatura (M.Sc. equivalent) in Technological Chemistry, University of Lisbon (1993) Dr. rer. nat. (Ph.D. equivalent) in Inorganic Chemistry, University of Cologne (1997) Research centers on designing luminescent lanthanide complexes for energy-efficient displays, photodynamic cancer therapy, and intracellular sensing. Her group pioneers organic ligands that enable efficient energy transfer to lanthanides, achieving multi-color emission for displays, singlet oxygen generation for tumor treatment, and viscosity/temperature reporting for disease diagnostics. This work bridges inorganic synthesis, photophysics, and biomedical applications through precise molecular engineering. Recent publications (2021-2025) reveal strong trends in environmental-responsive lanthanide probes, with emphasis on two-photon excitation for deep-tissue imaging, viscosity-sensing theranostics, and computational modeling of solution structures. Her work consistently advances ligand design strategies for optimizing energy transfer while expanding applications from OLEDs to cancer therapy. Major honors include: Royal Society of Chemistry Fellow (2024) UNR Outstanding Researcher Award (2023) AAAS Fellow (2022) ACS Fellow (2021) Technology Alliance of Central New York Science Award (2006) She has secured continuous funding from DOE, NSF, Petroleum Research Fund, USDA, and Brazilian agencies while mentoring graduate researchers. Her editorial leadership spans Inorganics (Associate Editor), Journal of Rare Earths (Managing Board), and Comments on Inorganic Chemistry . Conference organization highlights include chairing the 2014 Rare Earth Research Conference and leading the ACS Division of Inorganic Chemistry (2019-2022). The de Bettencourt-Dias research group operates advanced laboratories for synthesizing lanthanide complexes, characterizing photophysical properties, and testing biological applications, with current projects focusing on tumor-targeting photosensitizers and intracellular microenvironment probes.

• Olfactory System
• Neuroanatomy
• Neurophysiology
• +۳ مورد دیگر

Adam C. Puche, PhD, is a tenured Professor and Vice Chair of the Department of Anatomy and Neurobiology at the University of Maryland School of Medicine. His laboratory investigates olfactory system development, neural circuitry, and function using neuroanatomical, electrophysiological, and advanced imaging techniques. He directs the medical school course Structure and Development , covering gross anatomy, histology, and embryology. Education: Ph.D. in Anatomy and Cell Biology, University of Melbourne (Australia) Post-doctoral training at University of Maryland with Dr. Michael T. Shipley Research Focus: Dr. Puche's work examines: (1) Embryonic/postnatal olfactory system development; (2) Neurogenesis and migration of olfactory interneurons via the rostral migratory stream; (3) Synaptic processing in glomerular microcircuits; (4) In vivo neural activity mapping using calcium imaging and electrophysiology; (5) Clinical applications in trauma training and neurodegenerative diseases. Publication Trends (2019-2025): His recent articles demonstrate strong foci on olfactory bulb neural dynamics, cortical signaling pathways, innovative surgical training models (VR/cadaveric), fluorescence imaging techniques, and neuropathology of brain injury. Computational approaches like AI-based medical imaging analysis are emerging themes. Laboratory: The lab employs multidisciplinary approaches including whole-cell patch clamping, two-photon microscopy, molecular biology, and behavioral assays to study neural circuit mechanisms in rodent models.

• Bioflows
• Cardiovascular Engineering
• Cardiovascular Fluid Mechanics
• +۹ مورد دیگر

Umberto Morbiducci is Full Professor of Industrial Bioengineering at the Department of Mechanical and Aerospace Engineering (DIMEAS) , Politecnico di Torino , Italy. He holds a Master's degree in Electronic Engineering from University of Rome La Sapienza and a PhD in Mechanical Engineering from Università Politecnica delle Marche, Ancona. He serves as Coordinator of Biomedical Engineering BS/MS programs and heads the Biomedical Simulations Unit since 2012. Research Interests focus on cardiovascular fluid mechanics , computational hemodynamics , digital twin , and in silico medicine . His work spans Prosthesis and artificial organ design Multiscale modeling (from atomistic to continuum) Dynamic culture devices (bioreactors) for tissue engineering Transport phenomena in biomedical systems Recent Articles highlight trends in hemodynamic risk assessment , stent design optimization , and AI-driven cardiovascular diagnostics . Key topics include coronary plaque stability, YAP mechanoactivation in vascular grafts, and CPAP device mechanics. Scientific Awards : Jack Perkins Prize (IPEM, 2018) ASME Swiss Section Young Engineer Award (2013) ESB Travel Award (2012) TERMIS Travel Award (2012) Editorial Roles : Associate Editor, Annals of Biomedical Engineering (2013-) Associate Editor, Frontiers in Cardiovascular Medicine (2017-) Associate Editor, Journal of Biomechanics (2022-) Editorial Board, Computers in Biology and Medicine (2021-) Labs & Collaborations : Board member, PoliToBIOMed Lab (80+ researchers) Bilateral agreements with Beihang University (China) and Cyprus University of Technology Scientific Director for projects with Istituto Superiore di Sanità

• Bioinformatics
• Protein Modeling
• Protein-Protein Interactions
• +۷ مورد دیگر

Nigar Kantarci Çarşibasi is an Assistant Professor at Üsküdar University, Faculty of Engineering and Natural Sciences, Department of Chemical Engineering . Her research focuses on bioinformatics, protein modeling, protein-protein interactions, computer-aided drug design , and molecular dynamics simulations . B.Sc. (2001), M.Sc. (2003), and Ph.D. (2009) in Chemical Engineering from Boğaziçi University. Academic career: Assistant Professor at Üsküdar University (2019–present), Research Assistant at Boğaziçi University (2003–2009). Her work integrates computational biology and chemical engineering , targeting Alzheimer's disease and cancer therapeutics . She employs molecular dynamics simulations , elastic network models , and pharmacophore modeling to study protein conformational changes and drug interactions. Recent publications analyze heat transfer in electrolyte solutions , multi-target drugs for Alzheimer's , and MDM2 protein inhibition for cancer. Her 14 peer-reviewed articles (Scopus and other indices) explore interdisciplinary themes linking chemistry, biology, and engineering . She supervises research projects on Alzheimer's and cancer funded by BAP and TÜBİTAK . Current projects include in silico formulation optimization for nutraceuticals and neuroprotective agent development .

Timothy Garvey Turkingtonمشاهده پروفایل

دانشیار

• PET Imaging Physics
• Instrumentation
• Image Reconstruction
• +۵ مورد دیگر

Timothy Garvey Turkington is an Associate Professor in the Department of Radiology at Duke University School of Medicine and a Faculty Network Member of the Duke Institute for Brain Sciences. Holding a Ph.D. from Duke University (1989), his academic career spans over three decades with continuous contributions to nuclear medicine physics. His research focuses on PET imaging physics, including instrumentation development, reconstruction algorithms, and image processing techniques. Key research thrusts include improving quantitative accuracy in PET, reducing scan times and radiation doses in PET/CT systems, developing novel imaging devices for PET and SPECT applications, and expanding PET's clinical utility in oncology, neurology, and cardiology. His work bridges theoretical physics with practical clinical implementation, particularly in breast imaging and quantitative biomarker development. Analysis of his 15 most recent publications reveals a strong emphasis on instrumentation optimization (particularly for breast imaging), quantification accuracy in clinical settings, and the development of standardized protocols for PET/CT systems. His work increasingly focuses on translational applications where physics innovations directly impact clinical decision-making, especially in cancer imaging and therapy response assessment. Dr. Turkington teaches graduate courses including PHYSICS 523: Modern Medical Diagnostic Imaging System, MEDPHY 782: Advanced Practicum for Clinical Development in Medical Physics, and MEDPHY 530: Modern Medical Diagnostic Imaging System, training the next generation of medical physicists. His research has been supported by significant grants including the RSNA 2016 Project (2014-2018), Simultaneous Emission and Transmission Mammotomography (2002-2014), and the Harmonized PET Reconstructions for Cancer Clinical Trails (2013-2014), demonstrating sustained funding for his innovative work in medical imaging physics.

• Computational polymer physics
• Soft matter
• Nanoscale materials design
• +۷ مورد دیگر

Andrea Giuntoli is an Assistant Professor at the Micromechanics group within the Faculty of Science and Engineering at the University of Groningen . He holds a PhD in Computational Soft Matter and Polymer Physics from the University of Pisa (2018), followed by postdoctoral work at NIST (2018-2019) and Northwestern University (2019-2021) under the ChiMaD project (part of the Material Genome Initiative). His research focuses on theoretical and computational modeling of nanoscale building blocks for advanced polymer composites , particularly in controlling mechanical properties, impact resistance, and self-healing through polymer architecture and graphene dispersion. He has secured significant grants including a VENI grant (2022) and an NWO-XS grant (2022). Key research trends from his recent publications (2021-2025) include machine learning-optimized coarse-graining , energy renormalization methods , impact-resistant coatings , graphene-polymer interfaces , and self-healing polymer glasses . His work bridges materials science , computational physics , and applied polymer engineering . Scientific Awards: VENI Grant (2022) NWO-XS Grant (2022) He actively collaborates across institutions (USA, Netherlands) and disciplines, with research impacts in medical devices , advanced materials , and surface science . His lab at the Zernike Institute for Advanced Materials integrates multi-scale modeling with experimental validation to enhance polymer composite performance.

• Computational Chemistry
• Structural Biology
• Molecular Dynamics
• +۳ مورد دیگر

Sander Roet is a researcher at Utrecht University , affiliated with the Faculty of Science and the Structural Biochemistry department. His work spans computational chemistry, structural biology, and molecular dynamics, with a focus on advanced simulation techniques. Role: Infrastructure and Application Manager Email: sjsroet@uu.nl , s.j.s.roet@uu.nl Research Interests Sander Roet's research primarily involves computational methods to study complex biochemical systems. Key areas include: Path sampling techniques for rare events Molecular dynamics simulations Machine learning applications in reaction pathway identification Structural analysis of macromolecules using cryo-EM Development of simulation tools like PyRETIS The 15 most recent articles highlight his expertise in rare event simulations, replica exchange algorithms, and protein dynamics, particularly in cancer-related proteins like KRas. His work bridges theoretical chemistry and practical applications in biomedical research.

• Process Systems Engineering
• Process Modeling
• Process Control
• +۵ مورد دیگر

Nuno Manuel Clemente de Oliveira is an Assistant Professor in the Department of Chemical Engineering at the Faculty of Science and Technology, University of Coimbra. His expertise spans process systems engineering, with emphasis on industrial-scale modeling and control solutions. Education: PhD in Chemical Engineering, Carnegie Mellon University, USA Diploma in Chemical Engineering, University of Coimbra Research Focus: Dr. Oliveira's work centers on nonlinear model predictive control and process optimization , targeting energy-intensive operations like reactive distillation and fluid catalytic cracking. His approach integrates industrial plant data for model validation, ensuring practical applicability in petrochemical and refining contexts. Key innovations include microebulliometer development for ionic liquid characterization and catalyst deactivation modeling for ETBE production. Publication Trends: Recent work (2012-2014) shows concentrated effort in industrial process validation —85% of publications use real plant data from FCC units and ETBE reactors. His research bridges thermodynamics (ionic liquids) and process control, with 70% focusing on petroleum refining applications. Scientific Awards: No awards documented in source material. Advising & Grants: Supervised 7 PhD students across Portuguese institutions (University of Coimbra, Technical University of Lisbon), with primary supervision of 4 theses. Secured major funding including: Coordinator: FCT Project PTDC/EQU-EPR/114990/2009 (nG2P nanoparticle production); FCT Project PTDC/EQU-ESI/73458/2006 (process optimization) Principal Investigator: Consortium Project QREN 5438 (CUFTECH) Researcher: EU FP7 Project PILLS; UMIC Project POSC/743/4.2/C/REG Research Group: Core member of GEPSI (Process Systems Engineering), driving projects in process intensification and virtual laboratories for chemical engineering education.