جست‌وجوی استاد و پژوهشگر

Yasushi Okadaمشاهده پروفایل

استاد

• Cell Biology
• Biophysics
• Optical Microscopy
• +۷ مورد دیگر

Yasushi Okada, Ph.D., is a Professor at the Department of Cell Biology, Graduate School of Medicine, The University of Tokyo, with concurrent positions at the Department of Physics, Graduate School of Science, and RIKEN Center for Biosystems Dynamics Research where he serves as Principal Investigator and Team Leader of the Laboratory for Cell Polarity Regulation. His interdisciplinary research bridges cell biology, biophysics, physics, chemistry, and information science to address fundamental questions about life processes. Dr. Okada's research focuses on developing and applying advanced imaging technologies to directly observe molecular processes within living cells. His laboratory specializes in three key technological areas: high-resolution live-cell imaging techniques, cell state visualization probes, and image analysis methods. Through these approaches, his team investigates intracellular transport mechanisms, particularly in neurons, with emphasis on axonal transport and microtubule-kinesin interactions. Analysis of his recent publications reveals a strong trend toward interdisciplinary approaches combining advanced microscopy, molecular probe development, and computational analysis. His work spans multiple biological systems including stem cells, neurons, and mitochondrial dynamics, with applications in understanding fundamental cell biology processes and neurological disorders. His research often involves developing novel imaging technologies that push the boundaries of what can be observed in living cells. Scientific Awards: Nakatani Award (February 2024) Dr. Okada has established significant research collaborations across multiple institutions and disciplines. His laboratory develops original technologies ranging from microscope optics to molecular probes, demonstrating strong technical innovation alongside biological discovery. His recent work shows increasing integration of computational methods with experimental approaches, particularly in image analysis and deep learning applications for cellular feature extraction. His research team operates at the intersection of multiple core facilities including imaging cores and data science resources, facilitating cutting-edge investigations into cellular dynamics. Current work focuses on understanding how structural differences in cellular components like microtubules contribute to polarized transport and cell fate determination.

• Atom-first Biology
• Ecology
• Environmental Biogeochemistry
• +۳ مورد دیگر

Dr. Puni Jeyasingh is a Professor in the Department of Integrative Biology at Oklahoma State University (OSU), serving since 2021. Her research focuses on atom-first biology , an approach that quantifies elemental compositions of biosystems to understand biological processes at the systems level. This framework integrates principles from bio-inorganic chemistry, geochemistry, and evolutionary biology to explore ecological and evolutionary dynamics. Education & Training: PhD in Biology (2007), University of Oklahoma MS in Zoology (Murray State University) and Ecology (Salim Ali School of Ecology, India) BS in Zoology (Madras Christian College, India) Postdoctoral Fellow, University of Minnesota System (Ecology, Evolution, and Behavior) Research Interests: Elemental stoichiometry and its role in ecological and evolutionary processes Ionome analysis to study organism-environment interactions Evolutionary responses to environmental change (e.g., eutrophication, pollution) Resurrection ecology to study microevolutionary trajectories Key Themes in Publications: Impact of elemental supplies (N, P, Fe) on algal blooms and consumer fitness Genetic basis of stoichiometric traits in Daphnia and other organisms Applications of ionomics to understand adaptation and stress tolerance Labs & Collaborations: Leads the Lab of Atom-First Biology , focusing on interdisciplinary methods to quantify elemental data across scales. Collaborates with institutions globally on projects related to biogeochemistry and eco-evolutionary dynamics.

• Optimal control
• Precision agriculture
• Process control
• +۶ مورد دیگر

Dr. C (Congcong) Sun is an Assistant Professor in the Department of Agricultural Biosystems Engineering at Wageningen University & Research. His research focuses on developing intelligent control systems for sustainable agriculture, including the application of AI techniques like neural networks and reinforcement learning. He leads projects such as the 4TU Green Sensors initiative for biodegradable soil sensors and the DurableCASE collaboration for cooperative agrobotics systems. His expertise spans optimal control, precision agriculture, and agro food robotics. Education: PhD in Automation, Robotics and Vision (UPC-CSIC, Spain); MSc in System Engineering (Tongji University, China); BSc in Computer Science (Nanjing Audit University, China). He teaches courses including MSc Research Practice, Thesis guidance, and Advanced Machine Learning (FTE40306). Research Interests: Sensing systems, data-driven modeling, reinforcement learning for climate control, and robotic logistics in agricultural settings. Key projects include autonomous greenhouse climate control using RL, smart vertical farming, and mission planning for manure-removing robots in dairy barns. Publications emphasize applications in greenhouse climate modeling, water distribution networks, and robotic path planning. His work integrates control engineering with environmental sustainability goals.

• Health Economics
• Strategic Healthcare Management
• Public Health Policy
• +۳ مورد دیگر

Oleksii Demikhov is an Associate Professor at Sumy State University, Ukraine, and holds a guest researcher position at the Chair of Biosystems Engineering at the Estonian University of Life Sciences (EULS). He specializes in public health policy, healthcare management, and strategic decision-making under epidemiological and military threats. Demikhov holds a Doctorate in Public Administration (2018), a Research Master's in Public Health Policy (2022), and a Master's in Social Sciences (2024) from Tartu University. His academic roles include editorial board memberships for journals like Health Economics and Management Review and advisory roles at Ukraine's National Agency for Quality in Higher Education. Education: Doctorate: National Academy of Public Administration under Ukraine's President (2018) Research Master's: Taras Shevchenko National University (2022) Master's in Public Health Management: Sumy State University (2021) Earlier degrees in Law, Finance, and Agrarian Economics Research Interests: Demikhov focuses on health economics, quality management in healthcare systems, and policy responses to public health crises. His work addresses strategic healthcare governance, epidemiological threat mitigation, and the integration of EU best practices into Ukrainian policies. Recent studies include analyzing post-war Ukraine's foreign investment strategies and evaluating occupational health policies in EU member states. Publications & Grants: He has authored over 50 peer-reviewed articles and book chapters, including works on crisis management in agriculture and digital transformation in occupational safety systems. His research has been presented at international conferences like the 15th International Conference on Biosystems Engineering (2025). He collaborates with institutions such as the National Agency for Quality in Higher Education and chairs editorial boards in public administration. Labs/Teams: Active in the Institute of Forestry and Engineering at EULS, contributing to interdisciplinary projects on biosystems engineering and sustainable development. His work intersects healthcare, economics, and environmental science to address complex societal challenges.

Erin Cortusمشاهده پروفایل

دانشیار

• Sustainable Livestock Production
• Air Quality
• Manure Management
• +۷ مورد دیگر

Erin Cortus is an Associate Professor and Extension Engineer in the Department of Bioproducts and Biosystems Engineering at the University of Minnesota, College of Science and Engineering. She holds a Ph.D. and B.E. from the University of Saskatchewan and is a licensed professional engineer in Minnesota and South Dakota. Her work bridges engineering and agriculture with a focus on sustainable livestock systems. Education: Ph.D., University of Saskatchewan, 2007 B.E., University of Saskatchewan, 2002 Her research centers on sustainable livestock production , particularly in measuring sustainability metrics, improving air quality, managing manure, and enhancing biosecurity. She investigates hydrogen sulfide mitigation, greenhouse gas emissions, and nutrient dynamics in livestock systems. Her work includes practical applications in manure storage, mass mortality management, and environmental monitoring in deep-pit cattle facilities. Her recent publications reflect a strong trend in environmental impact assessment of livestock systems , with focus on gas emissions (NH 3 , H 2 S, N 2 O, CH 4 ), manure characteristics, and modeling environmental outcomes. She emphasizes interdisciplinary and systems-based approaches, particularly through system dynamics and cohort-based graduate education. Scientific Awards: Dean's Award for Distinguished Team - Extension Biosecurity Education Team (2018-19) Erin Cortus mentors graduate students and leads extension education initiatives. She is involved in advising and leading research on biosecurity practices, manure management, and sustainability capacity building for dairy farms. She collaborates across departments and institutions, particularly in public engagement and cross-disciplinary teaching. She is active in professional organizations including the American Society of Agricultural and Biosystems Engineering and the Air & Waste Management Association. She leads or contributes to key projects such as ManureDB, Greenhouse Gas Sampling Methods for Minnesota Livestock Farms, and Biosecure Entry Education and Research. Her lab and team focus on applied engineering solutions for real-world agricultural challenges, integrating environmental protection with food production systems.

Dimitrios Vavylonisمشاهده پروفایل

استاد

• Cellular Biophysics
• Actin Cytoskeleton
• Cytokinesis
• +۷ مورد دیگر

Dimitrios Vavylonis is a Professor of Physics at Lehigh University's College of Arts and Sciences, specializing in cellular biophysics. He is currently a Visiting Scholar at the Center for Computational Biology at the Flatiron Institute in New York, with previous visiting positions at the University of Lausanne, AMOLF (Amsterdam), and Kyoto University. His research is supported by NIH/NIGMS grants, and he serves on the editorial boards of Biophysical Journal, Cytoskeleton, and Scientific Reports. Bachelor's degree in Physics from the University of Athens Master's and Doctorate in Physics from Columbia University Postdoctoral work at Columbia's Department of Chemical Engineering and Yale's Department of Molecular, Cellular, and Developmental Biology Vavylonis's research focuses on developing mathematical and computational models to understand the physical principles underlying cellular organization and function. His group investigates the actin cytoskeleton, cytokinesis (cell division), cell motion, cell polarization, and actin dynamics. They apply methods from statistical physics, soft matter physics, and nonlinear dynamics to biological processes such as the function of the actomyosin contractile ring during cytokinesis and cell polarization for motion, mating, and growth. Their work combines theoretical modeling with experimental collaborations to study how networks and bundles of actin filaments form subcellular structures with mechanical integrity that provide cells with shape, generate mechanical forces, and serve as tracks for motor proteins. Analysis of Vavylonis's recent publications (2021-2024) reveals a continued focus on actin cytoskeleton dynamics, particularly in fission yeast models. His work explores contractile ring assembly during cytokinesis, cell polarization mechanisms, and the physical principles governing actin network organization. Key themes include the role of Cdc42 in cell polarity, force transmission through actin networks, molecular mechanisms of actin filament branching, and the interplay between membrane dynamics and cytoskeletal organization. His group increasingly employs advanced computational methods including coarse-grained molecular dynamics and discrete mechanical modeling to investigate these complex biological systems. Libsch Early Career Research Award Vavylonis has mentored numerous PhD students, postdocs, and undergraduate researchers through programs like Research Experiences for Undergraduates (REU) and the Biosystems Dynamics Summer Institute (BDSI). His current research group includes Research Assistant Professor David Rutkowski and several PhD students. His lab has developed significant computational tools including SOAX, TSOAX, JFilament, Speckle TrackerJ, and LEAP for analyzing biopolymer networks and cellular dynamics. These software tools have become important resources for the cell biology community, enabling quantitative analysis of filamentous structures in biological images. Vavylonis's laboratory operates as an interdisciplinary research team combining physics, biology, and computational science. The group develops mathematical models while collaborating closely with experimental biologists to test theoretical predictions. Their work spans from fundamental physical principles of cytoskeletal dynamics to specific biological processes in model organisms like fission yeast. The lab maintains strong international collaborations, particularly with groups in Switzerland, Japan, and the Netherlands, reflecting the global nature of modern biophysics research.

Louise Witzlackمشاهده پروفایل

پژوهشگر

• Process Systems Engineering
• Chemical Engineering
• Catalysis
• +۳ مورد دیگر

Louise Witzlack is a Scientific Associate and PhD student at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany, working within the Chair of Process Systems Engineering under Prof. Kai Sundmacher since December 2023. Her academic background includes: Master's degree in Biosystems Engineering (2021-2023) from Otto-von-Guericke University (OVGU), Magdeburg Bachelor's degree in Biosystems Engineering (2017-2021) from OVGU, Magdeburg Her research spans Chemical Engineering and Catalysis , with specialized focus on integrated molecular and process design, homogeneous organometallic and organocatalysis, and multistep catalytic synthesis of α-amino acids and β-amino alcohols. She actively contributes to projects including catalytic process optimization, IMPD4Cat, and FOR5538. As a doctoral candidate, she is currently preparing publications with no peer-reviewed articles yet published. Her work operates within Prof. Sundmacher's research group at the institute's Sandtorstraße 1 location (MPI/N3.08).

Benjamin Keitzمشاهده پروفایل

دانشیار

• Chemical Engineering
• Biological Synthesis
• Functional Materials
• +۵ مورد دیگر

Benjamin Keitz is an Associate Professor in the Department of Chemical Engineering at the University of Texas at Austin, holding the Frank A. Liddell, Jr. Centennial Fellowship. His research focuses on integrating synthetic chemistry and biology to design functional materials for catalysis, energy, environmental remediation, and medicine. Key areas include microbial extracellular electron transfer (EET) and engineering living materials through metabolic networks. He leads the Keitz Group, advancing tools in chemical kinetics, surface chemistry, and genetic networks. Education: Postdoctoral Researcher (UC Berkeley, 2012-2015), Ph.D. Chemistry (Caltech, 2012), B.S. Chemical Engineering (UT Austin, 2007). Research interests emphasize chemical/biological synthesis of functional materials, combining microbial EET with inorganic/organic substrates. Recent work explores organic electrochemical transistors, genome editing in bacteria, and high-throughput EET characterization. His lab develops biohybrid systems where living cells interface with synthetic materials, addressing challenges in sustainable materials and biomanufacturing. Awards include the NSF CAREER Award (2020), Air Force Young Investigator Award (2020), and NIH MIRA Award (2019). His work spans over 100 publications, with contributions in Nature Chemistry , ACS Synthetic Biology , and Nature Communications . Keitz has advised multiple postdocs and graduate students, focusing on troubleshooting skills and interdisciplinary training. His research group collaborates on projects funded by NSF, NIH, and DoD, emphasizing translational applications of living materials.

Seyed Soheil Mansouriمشاهده پروفایل

دانشیار

• Process Design
• Bioprocess Engineering
• Process Systems Engineering
• +۵ مورد دیگر

Seyed Soheil Mansouri is an Associate Professor at the Department of Chemical and Biochemical Engineering, Technical University of Denmark. He holds a PhD (2016) and MSc (2013) from DTU. His expertise spans process design, bioprocess engineering, and quantum computing applications in chemical systems. He leads the KT Consortium PROSYS - Process and Systems Engineering Centre. Research focuses on sustainable biomanufacturing, data-driven modeling, and quantum computing for process optimization. Key areas include photobioreactor design, machine learning in biosystems, and hybrid quantum-classical algorithms. He has supervised 14 PhD projects and co-authored 182 publications. Awards include Best Contributed Paper (2018), Best Oral Presentation (2015), and multiple best presentation awards. Active in organizing workshops on quantum computing and biorefineries. Advises on modular manufacturing, bio-succinic acid production, and AI-driven process systems. Develops digital twin technologies for bio-manufacturing and promotes open innovation. His work aligns with UN Sustainable Development Goals, emphasizing education and sustainable industrial practices. Current projects explore quantum computing in bioprocesses and modular vaccine production units.

• Proteomics
• Lipidomics
• Cancer Biomarkers
• +۶ مورد دیگر

Anthony Whetton is a Professor of Translational Biosystems at the University of Surrey's School of Veterinary Medicine. His research focuses on proteomics, lipidomics, and biomarker discovery across multiple disease areas, including cancer, kidney disease, and chronic conditions. Key projects include leveraging AI-driven approaches to analyze dietary patterns and health outcomes, developing non-invasive diagnostic tools for endometrial cancer, and identifying proteomic signatures predictive of renal disease progression. He collaborates extensively with interdisciplinary teams to translate molecular findings into clinical applications. Research interests span translational medicine, with particular emphasis on protein and lipid networks in pathophysiology. Recent work highlights include discoveries in JAK2-mutated myeloproliferative neoplasms, mechanisms of complement system dysregulation in rheumatic heart disease, and the role of HOXA9 in acute myeloid leukemia. His lab employs cutting-edge techniques like SWATH-MS and single-cell lipidomics to uncover actionable biomarkers and therapeutic targets. Publications emphasize clinical relevance, such as studies demonstrating the association between plant-based meat alternatives and cardiovascular risks in vegetarians, and proteomic insights into kidney function decline. Awards and grants supporting his work include funding from Cancer Research UK and the National Institute for Health Research.

Jack Tuszynskiمشاهده پروفایل

مدرس

• Biophysics
• Cancer Chemotherapy
• Computational Drug Design
• +۵ مورد دیگر

Jack Tuszynski is a Full Lecturer in the Department of Physics at the University of Alberta's Faculty of Science. He also holds the prestigious Allard Chair in Experimental Oncology at the Cross Cancer Institute. His academic career includes roles as a Professor, Associate Professor, and Assistant Professor across multiple institutions, including the University of Alberta and Memorial University of Newfoundland. He has a PhD in Condensed Matter Physics from the University of Calgary and has held postdoctoral and visiting positions in Germany, Denmark, France, Belgium, Israel, and China. His research focuses on computational biophysics and oncology, particularly the design of targeted anticancer drugs using molecular dynamics simulations. Key projects include studying tubulin and microtubule behavior under electric fields, developing TTFields-based therapies, and exploring the structural and electrical properties of proteins. He has published nearly 400 peer-reviewed papers and serves on editorial boards for multiple journals, including the Journal of Biological Physics and Quantum Biosystems. Tuszynski has received significant recognition, including the Allard Chair appointment and Fellow status with the National Institute for Nanotechnology. His work is funded by grants from Canadian, U.S., and European agencies. He teaches courses like PHYS 124 (Particles and Waves), emphasizing physics applications in life sciences. His research group explores interdisciplinary topics such as p53 protein modeling, microtubule motor proteins, and personalized medicine through entropy analysis. Collaborative efforts include designing novel colchicine derivatives and investigating TTFields' intracellular mechanisms to improve chemotherapy efficacy with reduced side effects.

• Computational Chemistry
• Molecular Dynamics
• Biomolecular Simulation
• +۷ مورد دیگر

Ferran Feixas Gerones is a Ramón y Cajal Researcher at the Department of Chemistry, University of Girona, and a key member of the Institute of Computational Chemistry and Catalysis (IQCC). He is co-Principal Investigator of the CompBioLab research group and part of the Theoretical Chemistry of Biosystems (TCBioSys) group, where he leads projects on molecular recognition, biomolecular dynamics, and computational drug design. His research focuses on advancing computational methods in chemistry, particularly through enhanced sampling molecular dynamics simulations. He applies these techniques to understand enzyme catalysis, protein folding, and biomolecular recognition processes. His work bridges theoretical chemistry and practical applications in drug discovery and biocatalyst design. Ferran Feixas has led significant research projects funded by national and European programs, including a Ramón y Cajal grant, a Marie Curie Individual Fellowship, and projects under Spain’s Challenges and TED calls. These efforts aim to develop integrated simulation strategies that account for molecular dynamics to enable step-by-step reconstruction of biochemical and biomolecular recognition events. Scientific Awards and Fellowships: Ramón y Cajal Fellowship (RYC2020-029552-I) Marie Curie Individual Fellowship Beatriu de Pinós Postdoctoral Fellowship As a project leader and co-PI, Dr. Feixas mentors students and early-career researchers within CompBioLab. His group collaborates on enzyme engineering and rational drug design, supported by grants such as RTI2018-101032-J-I00 and TED2021-130173B-C42. These grants enable the development of advanced computational protocols for simulating complex biomolecular systems. Dr. Feixas is embedded in a strong research infrastructure, working within the Institute of Computational Chemistry and Catalysis (IQCC), a leading center for theoretical and computational chemistry in Spain. His team leverages high-performance computing to explore conformational dynamics and its role in catalysis and molecular recognition.

• Agriculture
• Multidisciplinary
• Electrical and Electronic Engineering
• +۵ مورد دیگر

Andrés Felipe Almeida Ñauñay is an Assistant Professor at the Department of Agroforestry Engineering within the College of Agricultural, Food and Biosystems Engineering at the Technical University of Madrid . He is actively affiliated with the Center for Studies and Research on Agricultural and Environmental Risk Management (CEIGRAM) and the Complex Systems Research Group , serving roles such as Secretary and Member in these organizations since 2023. Current positions: Assistant Professor, Complex Systems Research Group Member, CEIGRAM Secretary Specializes in interdisciplinary research merging agricultural engineering, AI, and applied mathematics His research spans agronomy , electrical engineering , and artificial intelligence , focusing on technological solutions for agricultural systems. He also contributes to educational innovation in rural engineering technologies as a member of the associated innovation group.

• Biomaterials
• Molecular Biology
• Analytical Chemistry
• +۳ مورد دیگر

Maaria Eveliina Malkamäki is a Doctoral Researcher at Aalto University within the Bioproducts and Biosystems department. Her research focuses on biomaterials, molecular biology, and protein engineering, particularly on silk-like proteins and their interactions. Biomolecular Materials Research Group Specializes in analytical methods like radioimmuno-dot-blot assays Investigates phase separation and solvation properties of recombinant silk proteins Research Trends: Recent work explores protein quantification techniques, ethanol-induced structural changes in spidroins, and condensate behavior of silk proteins in varied environments. Her publications in Journal of Materials Chemistry B and Biomacromolecules highlight interdisciplinary approaches combining biochemical and materials science.

Gabriel Draughonمشاهده پروفایل

استاد آموزشی

• Urban Sensing
• Computer Vision
• Self-efficacy
• +۳ مورد دیگر

Gabriel Draughon serves as an Assistant Teaching Professor in the Engineering Fundamentals department at Michigan Technological University, holding a PhD and MS in Civil Engineering/Intelligent Systems from the University of Michigan alongside a BS in Biosystems Engineering from the University of Kentucky. His academic profile bridges cutting-edge urban sensing research with innovative engineering education methodologies. PhD, Civil Engineering/Intelligent Systems, University of Michigan MS, Civil Engineering/Intelligent Systems, University of Michigan BS, Biosystems Engineering, University of Kentucky Draughon's research centers on computer vision applications for urban environments, with dual emphases on intelligent infrastructure monitoring and public health crisis response. His work in urban sensing spans multi-person tracking systems for public spaces, multimodal human activity mapping in social infrastructure, and autonomous methane emission monitoring at landfills. During the pandemic, he pivoted to develop computer vision frameworks for face mask compliance tracking and social distancing measurement, demonstrating remarkable adaptability of his core methodologies to emergent societal challenges. His educational research investigates self-efficacy and novel pedagogical approaches in engineering fundamentals. Analysis of his 2018-2022 publications reveals a cohesive research trajectory where computer vision and sensor technologies address increasingly complex urban challenges. Early work focused on environmental monitoring (landfill methane emissions), evolving toward sophisticated human behavior analysis in public spaces. The pandemic accelerated applications in public health surveillance, with consistent use of deep learning frameworks like DeepSORT. His research consistently bridges civil engineering infrastructure with intelligent systems, showing particular strength in adapting computer vision to real-world constraints of outdoor urban environments. Draughon maintains active engagement in student development through undergraduate mentoring (2020-2022), the Sensors in a Shoebox program (2018-2020), and Discover Engineering initiatives (2019, 2022). His teaching portfolio includes curriculum design for K-12 programs at The School at Marygrove and Jalen Rose Leadership Academy, plus graduate instruction at the University of Michigan, reflecting his commitment to engineering education across multiple levels. His collaborative research with Jerome Lynch and other colleagues forms a cohesive intelligent infrastructure research stream, though specific lab affiliations aren't detailed. Current work appears focused on scaling computer vision applications for smart city infrastructure while maintaining his educational research in engineering fundamentals pedagogy.