جست‌وجوی استاد و پژوهشگر

Roberto Menichettiمشاهده پروفایل

پژوهشگر

• Theoretical Physics
• Computational Physics
• Statistical Mechanics
• +۷ مورد دیگر

Roberto Menichetti is a theoretical physicist at the University of Trento , affiliated with the Department of Physics and the VARIAMOLS research group . His work integrates computational physics, statistical mechanics, and machine learning to model biomolecules and soft matter systems. Prior roles include postdoctoral research at the Max Planck Institute for Polymer Research (2016-2018) and academic training at the University of Rome 'La Sapienza'. PhD in Physics (La Sapienza, 2016) BSc/MSc in Physics (La Sapienza, 2012) His research spans: Coarse-Graining Methods for polymers, colloids, and biomolecules High-throughput Molecular Dynamics Simulations in drug-membrane permeability studies Integration of Machine Learning with physical models for multi-scale analysis Applications in Biophysics (e.g., chromatin condensates, protein dynamics) Article trends highlight his focus on computational frameworks like EXCOGITO and theoretical investigations of non-equilibrium systems and allosteric regulation . He actively develops tools for systematic model reduction and conformational sampling in biomolecular systems. Contact: roberto.menichetti@unitn.it

• Computational Mechanics
• Biomechanics
• Mechanical and Material Engineering
• +۳ مورد دیگر

Professor YuanTong Gu is the Pro Vice-Chancellor (Research Career Advancement) and Head of the School of Mechanical, Medical and Process Engineering at Queensland University of Technology (QUT). He holds an ARC Future Fellowship and leads the Laboratory for Advanced Modelling and Simulation in Engineering and Science. His research focuses on computational mechanics, biomechanics, and nanotechnology, with over $40M in secured research funding since 2000. He has supervised over 15 PhD students and collaborates with global institutions including Tsinghua University and the University of California. His awards include the International Computational Methods Award (2017) and ICACM Computational Mechanics Award (2017). Prof. Gu's work spans interdisciplinary projects in joint biomechanics, advanced materials, and AI-driven engineering solutions. Education: PhD (National University of Singapore), Graduate Certificate in Education (QUT). Research Groups: Leads a team of 3 academics, 2 ARC Future Fellows, and 15+ PhD students. Key projects include diamond nanothread composites, AI in biomedical devices, and fracture detection frameworks. His group collaborates with industry leaders and global universities to advance computational methods and materials science. Editorial Roles: Associate Editor of Engineering Analysis with Boundary Elements and Applied Mathematical Modelling , among others. Conference leadership includes chair roles in international computational mechanics conferences since 2012.

• Health Informatics
• Data Science
• Artificial Intelligence in Healthcare
• +۷ مورد دیگر

Audrey Naledi Masizana is a Senior Lecturer in the Department of Computer Science at the University of Botswana, where she has served as Head of Department. She is currently an International Scholar with the Center for Global Health, engaged in data science training and research in healthcare. Her work is closely aligned with global health initiatives, particularly through collaborations with CHOP, the Botswana-UPenn Partnership, and the Ministry of Health in Botswana. Her research interests lie at the intersection of computer science and global health, with a strong focus on Health Informatics , Data Science , and Digital Health Solutions . She has pioneered projects in mobile health (mHealth) , healthcare data interoperability , IoT-based monitoring , and AI-driven decision support systems for HIV/AIDS care. Her leadership in the Microsoft Digital Inclusion projects and the establishment of the e-Health Research Unit in 2012 underscores her commitment to leveraging technology for public health impact. The analysis of her recent publications reveals a consistent trajectory in applying computational methods—such as clustering, simulation, and natural language processing—to real-world health challenges, especially in resource-limited settings. Her work emphasizes data usability , accessibility , and interoperability across healthcare systems in Botswana. She has not been awarded any scientific awards mentioned in the text. Audrey Naledi Masizana has led and co-led multiple research projects, including as Principal Investigator on a CHOP-collaborated study evaluating healthcare data flow in Botswana. She has not received any grants explicitly mentioned, but her project leadership indicates secured funding. She mentors students and researchers through her role in the e-Health Research Unit and her academic position, though specific advisees are not listed. She is actively involved in the e-Health Research Unit at the University of Botswana, which fosters collaboration with NGOs and government agencies. Her team works on themes including data warehousing, mining, IoT, and interoperability, aiming to improve clinical decision-making and healthcare delivery through digital innovation.

Muhammad Shahid Javaidمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Stem cell research
• Precision Medicine
• +۷ مورد دیگر

Dr. Muhammad Shahid Javaid is a postdoctoral research fellow in the Department of Neuroscience at the School of Translational Medicine, Monash University. He completed his PhD from Monash University and has presented his research on national and international platforms. His research focuses on: Development of precision medicines using human stem cell-based in vitro epilepsy models Biological reprogramming of patients' blood cells into stem cells Converting stem cells into brain cells, neurons, and 3D brain organoids Creating personalized 'disease-in-a-dish' models for patients with medically intractable epilepsy Bioinformatics-based computer-aided medicine design His recent publications demonstrate expertise in integrating in vitro human iPSCs-derived neuron and in vivo animal approaches for anti-seizure compound screening, developing human in vitro models of epilepsy using stem cells, conducting molecular docking studies for redox balance regulation in epilepsy, analyzing sex differences in adverse drug reactions from antiseizure medications, and performing in silico analysis of stem cell differentiation mechanisms. His awards include: Gold Medal (2016) Monash Graduate Scholarship (MGS) (2018) Monash International Tuition Scholarship (MITS) (2018) Dr. Javaid has been actively involved in research projects related to patient-specific disease models for Homer1 gene mutations, pre-clinical evaluation of adenosine A1 receptor modulators for drug-resistant epilepsy, intracerebral delivery of Neuropeptide Y for epilepsy treatment, and drug screening using patient-specific iPSCs-derived neurons. He also served as an Authorised Officer and Public Health Officer at the Department of Health (Victoria) from February 2021 to June 2022, demonstrating his commitment to public health applications of his research.

• Electrocatalysis
• CO2 Reduction
• Energy Conversion Devices
• +۳ مورد دیگر

Kazuyuki Iwase serves as Associate Professor at Tohoku University's Institute of Multidisciplinary Research for Advanced Materials since April 2025, following progressive appointments as Senior Assistant Professor (2023-2025) and Assistant Professor (2019-2023). His academic journey includes postdoctoral research at Paul Scherrer Institute (Switzerland) and multiple JSPS Research Fellowships. He maintains active collaborations with prominent researchers including Prof. Itaru Honma and Prof. Takaaki Tomai. Dr. Iwase's research focuses on electrocatalysis for sustainable energy conversion, specializing in carbon dioxide reduction reaction (CO2RR) and oxygen evolution reaction (OER) systems. His work spans nanomaterials engineering, electrocatalyst design, and device integration for renewable energy applications. Key methodologies include supercritical hydrothermal processing, mechanical alloying, and machine learning optimization of electrochemical systems. His publication record demonstrates consistent high-impact output with 36 accepted articles through 2025, featuring 11 as corresponding author and 15 as first/equal-first author. Recent work explores manganese nanospinels for OER, Ag-Sn intermetallics for CO2RR, and machine learning approaches for reaction optimization, showing strong interdisciplinary connections between materials science, electrochemistry, and sustainable engineering. The 5th Symposium for The Core Research Clusters for Materials Science and Spintronics Poster Award (2021) Student Presentation Award, Chemical Society of Japan (2016) International Exchange Support Award, Electrochemical Society of Japan (2016) SIEMME Best Oral Presentation Award (2014) Dr. Iwase has secured significant research funding as Principal Investigator, including a JST PRESTO grant (¥40,000,000) for CO2 conversion research and multiple JSPS Grants-in-Aid totaling over ¥59,000,000. His academic service includes peer review for prestigious journals including Angewandte Chemie and Nature Sustainability. He maintains active international engagement through invited lectures in Japan, India, and Switzerland, focusing on nanomaterials for electrocatalysis.

Catherine Jutzelerمشاهده پروفایل

استادیار

• Spinal Cord Injury
• Pain Management
• Machine Learning in Medicine
• +۳ مورد دیگر

Prof. Dr. Catherine Jutzeler is an Assistant Professor at the Department of Health Sciences and Technology (D-HEST) at ETH Zurich. Her research focuses on spinal cord injury, pain management, and the application of machine learning in medical diagnostics and rehabilitation. She specializes in developing advanced computational methods for analyzing spinal MRI scans, predicting clinical outcomes, and optimizing therapeutic interventions. Her work bridges biomedical engineering and clinical neuroscience, with a strong emphasis on translational research. Key areas include neuroimaging analysis, serological biomarker discovery, and the development of predictive models for neurological recovery. Recent studies have explored the impact of pharmacological treatments, racial disparities in biomarker responses, and biomechanical thresholds in cervical myelopathy. Prof. Jutzeler collaborates extensively on interdisciplinary projects, integrating clinical data with machine learning frameworks. She is particularly known for pioneering diffusion-based models for lumbar spine segmentation and advancing data standards in spinal cord injury research. Her contributions aim to improve diagnostic accuracy and personalize patient care in neurotrauma and chronic pain management.

• Epidemiology
• Biostatistics
• Infectious Diseases
• +۴ مورد دیگر

Forrest W. Crawford is an Associate Professor Adjunct in Biostatistics at the Yale School of Public Health (YSPH). He holds affiliations with the Computational Biology and Bioinformatics Program, the Center for Biomedical Data Science, and the Public Health Modeling initiative. His research focuses on mathematical and statistical methods for discrete structures and stochastic processes, with applications in epidemiology, public health, biomedicine, and evolutionary science. Dr. Crawford earned his PhD and MS in Biostatistics from the University of California, Los Angeles (2012 and 2009). His work bridges statistical theory and applied public health challenges, emphasizing network analysis, infectious disease modeling, and computational methods. He leads the Crawford Lab, which develops tools for understanding complex systems like opioid epidemics, HIV transmission dynamics, and pandemic response strategies. Key research interests include: - Network-based epidemiological modeling - Causal inference under contagion - Public health data science - Statistical methods for hidden populations - Stochastic processes in biological systems Recent work includes studies on fentanyl-related mortality trends in Connecticut, SARS-CoV-2 transmission dynamics, and vaccine efficacy analyses. His interdisciplinary collaborations span public health, computer science, and mathematics. Dr. Crawford has advised numerous research initiatives and contributed to pandemic response efforts through real-time modeling. His lab's projects include software development for public health surveillance (e.g., the covidestim tool) and methodological advancements in respondent-driven sampling for hidden populations. Professional affiliations include the American Statistical Association, Society for Mathematical Biology, and editorial roles in statistical and epidemiological journals.

Ryan Shenviمشاهده پروفایل

استاد

• Chemical Synthesis
• Natural Products Chemistry
• Medicinal Chemistry
• +۳ مورد دیگر

Ryan Shenvi is a Professor of Chemistry at The Scripps Research Institute (TSRI) in La Jolla. His research focuses on developing innovative synthetic methodologies to access complex natural products with potential biomedical applications. He earned his PhD in Chemistry from TSRI (2008) and a B.S. in Chemistry from Pennsylvania State University (2003). His lab pioneered the metal-hydride atom transfer (MHAT) paradigm, enabling efficient synthesis of branched hydrocarbons and natural products like salvinorin A. Major research areas include opioid receptor ligands, neurotrophic agents, and anti-malarial compounds. Notable achievements include the first gram-scale synthesis of jiadifenolide and stabilization of salvinorin A for therapeutic development. Dr. Shenvi has secured over 20 prestigious awards, including the E.J. Corey Award (2021) and Tetrahedron Young Investigator Award (2019). His work bridges organic synthesis, medicinal chemistry, and neuroscience, with collaborations spanning academic and industrial partners like Eli Lilly and Novartis. His lab emphasizes sustainability, using industrial waste in drug development and advancing computer-aided synthesis planning (CASP). Key projects include exploring κ-opioid receptor agonists for non-addictive pain management, annotating the pharmacology of asmarine alkaloids, and synthesizing neurotrophic terpenes with anti-psychotic activity. His group’s MHAT-based cross-coupling reactions have been commercialized and widely adopted in academia and industry.

James Morizioمشاهده پروفایل

استاد مدعو

• Analog CMOS Microelectronics
• Neural Interfaces
• Acoustofluidics
• +۴ مورد دیگر

James Morizio serves as an Adjunct Professor in the Department of Electrical and Computer Engineering at Duke University, leveraging 35+ years of expertise in analog CMOS microelectronics for biomedical applications. His research bridges electrical engineering with neuroscience through disruptive sensor interface technologies for neural recording/stimulation and ultrasonic microfluidics. His educational background includes a Ph.D. in Electrical Engineering from Duke University (1995) M.S. in Electrical Engineering from University of Colorado, Boulder (1984) B.S. in Electrical Engineering from Virginia Polytechnic Institute and State University (1982) Morizio's research focuses on developing high-performance neural interfaces and acoustofluidic systems. Key areas include wireless neural instrumentation for closed-loop electrophysiology, CMOS-based ultrasonic transducers for microfluidic manipulation, and low-power VLSI design for implantable devices. His work emphasizes translating microelectronics innovations into biomedical solutions for neuroscience and diagnostics. His publication portfolio demonstrates consistent contributions to neural engineering and microfluidics, with recent trends showing increased focus on acoustofluidic diagnostics (e.g., AIMDx chip) and osseointegrated neural interfaces for prosthetic control. The research spans fundamental circuit design to translational applications in cancer metabolism and neuroprosthetics. Scientific recognition includes 15-year service award from Triangle BioSystems International/Harvard Bioscience Inc. (2016) Current research is supported by major grants including Neuro-CROWN (ultra-flexible electrode arrays), digital acoustofluidic systems for biomedical automation, and osseointegrated neural interfaces for prosthetic control. His teaching portfolio spans advanced VLSI design and special topics courses, though specific advising roles are not documented. Collaborative work involves interdisciplinary teams in neuroscience and biomedical engineering, particularly through partnerships with Triangle BioSystems International and translational projects using ovine models for neural interface validation.

• Medicinal Chemistry
• Organic Synthesis
• Neuropharmacology
• +۳ مورد دیگر

Deana B. Andrić is a Full Professor in the Department of Organic Chemistry at the University of Belgrade's Faculty of Chemistry, having progressed from Assistant Professor (1999-2010) to Associate Professor (2010-2024) before attaining her current position in 2024. She holds administrative roles including former Vice-Dean for Finance (2007-2010), current Chair of the Student Disciplinary Committee (since 2021), and Deputy Chair of the Ethics Committee (since 2023). Her educational background includes: Basic studies in Chemical Sciences, Faculty of Natural Sciences and Mathematics, University of Belgrade (1981-1987) Master's degree in Chemical Sciences, Faculty of Chemistry, University of Belgrade (1987-1991) Doctorate in Chemical Sciences, Faculty of Chemistry, University of Belgrade (1992-1996) Professor Andrić's research centers on Medicinal Chemistry with emphasis on synthesizing and evaluating dopaminergic/serotonergic ligands and computational modeling of ligand-receptor interactions. Her work bridges organic synthesis, neuropharmacology, and drug design, focusing on arylpiperazine derivatives for neurological disorders. She actively teaches courses including Applied Organic Chemistry, Drug Design and Development, and Chemistry for Biology/Environmental Science programs. Analysis of her 15 most recent publications (2014-2024) reveals consistent innovation in neuropharmacological agent development, evolving from receptor binding studies toward multi-target ligands for neurodegenerative diseases. Her research integrates computational modeling with experimental validation, expanding into PET imaging agents, cholinesterase inhibitors, and pharmacokinetic optimization while maintaining core focus on dopamine/serotonin receptor interactions. She has participated in Ministry of Science-funded projects including the 2011 study of structure-activity relationships in biologically active substances. As a long-standing member of the Serbian Chemical Society (since 1989) in both Medicinal and Organic Chemistry sections, she contributes to Serbia's scientific community through research, teaching, and academic leadership.

Trevor Cickovskiمشاهده پروفایل

استادیار

• Bioinformatics
• Microbiome Analysis
• GPU Computing
• +۶ مورد دیگر

Trevor Cickovski is an Assistant Professor at Florida International University's Knight Foundation School of Computing and Information Sciences, with a focus on bioinformatics and computational biology. Holding Graduate Faculty status, he specializes in microbiome analysis, GPU computing, network analysis, and Unix systems. His academic journey began with a Ph.D. in Computer Science and Engineering from the University of Notre Dame (2008). Current roles: Associate Director, Assistant Teaching Professor Research affiliations: Bioinformatics Research Group (BioRG), ACM, IEEE Dr. Cickovski's research spans microbiome analysis, software engineering, and GPU-accelerated computing. His work explores the microbiome's role in neuropsychiatric disorders (ADHD), genetic conditions (A1AD), respiratory diseases (COPD), and environmental phenomena (red tides) through multi-omics integration. His publications in Journal of Medical Microbiology , Bioinformatics , and IEEE/ACM TCBB reflect strengths in plugin-based software frameworks (PluMA), network analysis, and computational pipeline optimization. Awards include multiple teaching excellence honors and industry funding from NVIDIA. 2020 Graduate Faculty Status 2019 FIU CAT Fellow 2019 FIU Faculty Teaching Award 2017 Teaching Excellence Award 2014 Promotion to Associate Professor As lead developer of PluMA, he enables cross-language plugin development for bioinformatics workflows. Funded by NIJ and NSF, his projects apply machine learning to epigenetics and computational approaches to vaccine discovery.

• Computer-aided drug design (CADD)
• Molecular dynamics simulations
• Structural biology
• +۳ مورد دیگر

Associate Professor Jacob D. Durrant leads the Durrant Lab at the University of Pittsburgh’s Department of Biological Sciences, affiliated with the Dietrich School of Arts and Sciences. His research focuses on computational biology, particularly computer-aided drug design (CADD), molecular dynamics simulations, and structural biology. The lab develops novel algorithms and software tools like AutoGrow, NNScore, and MolModa, emphasizing open-source platforms for drug discovery. Key projects include identifying small-molecule ligands for cancer, neurological, and infectious disease targets, as well as advancing molecular visualization through Blender and virtual reality (ProteinVR). Education includes a PhD in Chemistry, though specific details are not provided. Current graduate students include May Ahmed (machine learning in drug discovery), Nacef Guessaymi (amyloid fibril dynamics), and Joshua Mercado (LARP1 structural biology). Undergraduates and postdocs contribute to projects ranging from virtual screening to GPU-accelerated simulations. Research emphasizes ligand identification via ensemble docking, molecular visualization techniques, and the application of AI/machine learning to drug design. Recent work includes studies on SARS-CoV-2 treatments (RECOVERY trial), TEM-1 β-lactamase inhibition, and allosteric drug targets for hexokinase 2. Lab tools like FPocketWeb and PCAViz enable collaborative, browser-based molecular analysis. Advisees and collaborations extend across computational biology programs at Pitt and CMU. The lab prioritizes translational research, bridging in silico simulations with experimental validation for clinical applications. Future directions include AI-driven ligand optimization, VR-enhanced molecular exploration, and open-source software development for global research accessibility.

• Pharmacology
• Molecular Biology
• Antiviral Agents
• +۵ مورد دیگر

Karen Anderson, PhD, is a Professor of Pharmacology and Molecular Biophysics and Biochemistry at Yale School of Medicine. She serves as Co-Leader of the Developmental Therapeutics Program at Yale Cancer Center and Co-Director of the Therapeutics/Chemotherapy Program. Her research focuses on mechanistic enzymology and structure-based drug design to develop therapies for cancer, infectious diseases (e.g., HIV/AIDS), and antimicrobial targets. She has trained over 50 students across undergraduate, graduate, and postdoctoral levels. Educational Background: PhD from Ohio State University (1982), Senior Research Specialist at Monsanto Co. (1989). Research Interests: HIV reverse transcriptase mechanisms, antiviral agents, drug resistance, enzyme inhibitors for cancer and infectious diseases, and translational drug development. Key targets include KDO8P synthase (antibacterial), TS-DHFR (antiparasitic), and tyrosine kinase inhibitors (cancer). Awards & Honors: Dean's Young Faculty Award (1991), Yale Cancer Breast Cancer Initiative Award (1996), Gordon Research Conference leadership (2000-2001), and multiple Monsanto Research Achievement Awards (1985-1989). Grants & Collaborations: Leads interdisciplinary teams at Yale Cancer Center and collaborates with researchers like William Jorgensen on drug design. Her lab's work includes developing synergistic therapies for bladder cancer and alternatives to Paxlovid for SARS-CoV-2. Labs & Teams: Anderson Lab at Yale, part of the Structural Biology and Virology Laboratories programs. Active in initiatives like the Yale-UPR HIV Research Collaboration.

Thomas J.R. Hughesمشاهده پروفایل

استاد

• Isogeometric Analysis
• Computational Mechanics
• Finite Element Analysis
• +۷ مورد دیگر

Thomas J.R. Hughes is the Peter O’Donnell Jr. Chair in Computational and Applied Mathematics and a Professor of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. He is affiliated with the Oden Institute for Computational Engineering and Sciences (Oden Institute), where he leads the Computational Mechanics Group. His research focuses on computational mechanics, isogeometric analysis, and biomedical modeling. Education: B.E. and M.E. in Mechanical Engineering from Pratt Institute; M.S. in Mathematics and Ph.D. in Engineering Science from the University of California, Berkeley. Research Interests include Isogeometric Analysis (integrating CAD and FEA), stabilized numerical methods for fluid flows, patient-specific biomedical simulations, and phase-field modeling. His work spans applications in cardiovascular systems, tumor growth, and geophysical flows. Hughes has authored over 150 journal articles, with recent contributions on isogeometric analysis, fluid-structure interaction, and computational geosciences. Notable awards include the von Neumann Medal (USACM), Gauss-Newton Medal (IACM), and Worcester Reed Warner Medal (ASME). He is a member of the National Academy of Engineering. His group advises students and postdocs in computational methods and collaborates with centers like the Oden Institute’s Computational Visualization Center. Current projects include isogeometric analysis, nanoparticle drug delivery, and ice sheet modeling.

Claire Priceمشاهده پروفایل

مدرس ارشد

• Cytochrome P450 Enzymes
• Antifungal Resistance
• Alkanes and Fatty Acid Metabolism
• +۵ مورد دیگر

Claire Price is a Senior Lecturer in Biomedical Sciences at Swansea University, associated with the School of Medicine within the Joint Faculty of Medicine, Health and Life Science. She holds a BSc in Psychology from Cardiff University and a Doctorate from Swansea University School of Medicine, focusing on Candida CYP52-mediated metabolism of alkanes and fatty acids. Her research expertise includes cytochrome P450 enzymes, antifungal resistance mechanisms, and GC-MS analytical techniques. Her work spans over two decades, with recent publications (2025) emphasizing computational tools for biochemical education (enzyme kinetics simulators, 3D-printed labware generators) and clinical diagnostics training. She also investigates environmental toxicology effects of cannabinoids and novel antifungal strategies. Teaching responsibilities include modules like Microbiology Fundamentals (PM-004), Clinical Chemistry Interpretation, and Public Engagement in Science (PM-256). Dr Price is actively involved in STEM outreach, co-founding Merthyr Tudful's inaugural Science Festival and developing inclusive educational tools such as tactile X-ray models. Her lab focuses on microbial enzyme systems with implications for biotechnology and healthcare innovations.