جست‌وجوی استاد و پژوهشگر

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.

Inês Isidroمشاهده پروفایل

پژوهشگر

• Systems Biology
• Machine Learning
• Bioprocess Engineering
• +۴ مورد دیگر

Inês Isidro is a Researcher at the Institute for Biotechnology and Bioengineering (iBET) and Head of the Biosystems and Data Science Group , established in 2021. Her research integrates data science , machine learning , and systems biology to solve complex problems in biological systems, with specific focus on cell and gene therapy bioprocesses , precision medicine , and data-driven drug discovery . Education: BSc in Biological Engineering, Instituto Superior Técnico (2009) PhD in Bioengineering Systems, MIT-Portugal Program (2015) Her work combines mechanistic modeling and omics data integration to develop tailored strategies for bioprocess optimization, including a biotech startup ( MediaOmics ) for culture media customization. She collaborates with multiple teams and external partners at iBET.

• Regenerative medicine (incl. stem cells)
• Biomedical engineering
• Biochemistry and cell biology
• +۳ مورد دیگر

Dr. Eva Tomaskovic-Crook is a Senior Research Fellow at the Intelligent Polymer Research Institute (IPRI), Australian Institute for Innovative Materials , University of Wollongong (2021-), and a Senior Research Scientist at the Chris O'Brien Lifehouse Hospitals Biomedical Innovation Hub (2021-). She previously served as a Research Fellow (2014-2021) and Associate Theme Leader in the Synthetic Biosystems Theme of the ARC Centre of Excellence for Electromaterials Science (ACES). Her research integrates human stem cells with bio- and electro-materials for next-generation tissue engineering. PhD : Ludwig Institute of Cancer Research, University of Melbourne (2008) Postdoctoral Fellow : A*STAR's Institute of Molecular and Cell Biology (Singapore), St Vincent's Institute (Melbourne) Her interdisciplinary work focuses on: 3D bioprinting and organoidogenesis Electrical stimulation for neural and cardiac tissue development Novel platforms for stem cell maturation and drug testing Clinical translation in regenerative medicine and cancer diagnostics Recent research trends include glioblastoma modeling , collagen-based corneal engineering , and piezoelectric neural tissue constructs . She holds key roles in translational projects funded by the Australian Research Council (ARC) and National Health and Medical Research Council (NHMRC), collaborating with institutions like the University of Sydney and Chris O'Brien Lifehouse. Her work supports advancements in electroceuticals and biofabrication for clinical applications.

• Biological Materials Preparation and Processing
• Food Engineering
• Postharvest Technology
• +۱ مورد دیگر

Oladiran Oluwafemi Fasina serves as Professor and Department Head of Biosystems Engineering within Auburn University's College of Engineering, demonstrating leadership in sustainable engineering solutions for food systems and bioenergy. His strategic direction has positioned the department at the forefront of agricultural and biological engineering innovation, as evidenced by Auburn's dominance at the 2024 ASABE International Meeting. Education: Ph.D. in Agricultural and Bioresource Engineering from the University of Saskatchewan M.S. in Agricultural Engineering from Obafemi Awolowo University B.S. in Agricultural Engineering from Obafemi Awolowo University Research Focus: Dr. Fasina's expertise spans Biological Materials Preparation and Processing, Food Engineering, Postharvest Technology, and Renewable Energy. His work integrates material science with engineering principles to develop sustainable technologies for biomass conversion, food preservation, and energy production, with particular emphasis on loblolly pine residues and agricultural byproducts. Publication Trends: Analysis of his 15 most recent publications reveals two convergent research trajectories: (1) Advanced drug delivery systems utilizing 3D printing, microneedles, and biodegradable polymers for ocular and implantable applications, and (2) Engineering solutions for biomass logistics, thermochemical conversion, and precision agriculture systems. These streams demonstrate his unique ability to bridge biomedical innovation with sustainable resource management. Research Leadership: Dr. Fasina directs a $2 million Department of Energy grant for hydrogen production from blended feedstocks (waste coal, forest residues, municipal solid waste) and co-leads a $28 million USDA NIFA grant establishing the Institute for Rural Partnership. His interdisciplinary team also investigates hydrogen energy production to reduce greenhouse gas emissions and address plastic waste challenges. Laboratory Infrastructure: His research program encompasses facilities for biomass characterization, material processing, and pharmaceutical engineering, supporting collaborative work across engineering disciplines to develop practical solutions for food security, renewable energy, and healthcare delivery systems.

Martin Bierمشاهده پروفایل

استاد

• Complex systems
• Noise
• Biophysics
• +۳ مورد دیگر

Dr. Martin Bier is a Professor of Physics at East Carolina University, specializing in theoretical physics with a focus on complex systems, biophysics, and non-equilibrium thermodynamics. He earned his PhD in Physics from Clarkson University in 1990. His research explores noise-induced phenomena, stochastic processes, and their applications to biological systems, including motor proteins, epidemic modeling, and stock market dynamics. Bier also investigates the interplay between noise and order in systems such as energy transduction in biomolecules and infectious disease propagation. His work bridges physics and biology, addressing topics like Brownian ratchets, Lévy noise effects, and synchronization of oscillators. Recent studies include diffusive search mechanisms in sperm cells, the Mpemba effect, and the physics of extreme cycling ('Everesting'). Bier frequently critiques pseudoscientific claims in popular culture, publishing analyses in Skeptical Inquirer on topics like the Wim Hof Method and quantum consciousness myths. Bier teaches courses ranging from foundational physics to advanced topics such as biomedical physics and quantum mechanics. He has authored over 100 peer-reviewed articles, with contributions to journals like Physical Review E , Entropy , and BioSystems . His research emphasizes interdisciplinary approaches, combining computational modeling, data analysis, and theoretical frameworks to elucidate emergent behaviors in complex systems.

Gustavo Stolf Jeukenمشاهده پروفایل

مدرس

• Bioinformatics
• Computer Science
• Data Analysis
• +۳ مورد دیگر

Gustavo Stolf Jeuken is a Lecturer at the Faculty of Science, Vrije Universiteit Amsterdam, with affiliations in Computer Science and Bioinformatics. His research focuses on computational methods applied to biological systems and social data analysis. He teaches courses such as 'Basic Models of Biological Networks' and 'Biosystems Data Analysis.' Research interests include pathway analysis, survival modeling in cancer, and human mobility patterns using social media data. His work integrates machine learning, network analysis, and algorithmic approaches to address interdisciplinary challenges in bioinformatics and systems biology. His recent publications explore topics like mutual information in pathway analysis and network enrichment models, reflecting a trend toward computational solutions for complex biological and social datasets. No scientific awards are mentioned. He currently has no listed advisees or grants. Jeuken is part of research teams within the Faculty of Science, collaborating on projects bridging computer science and life sciences.

• Antiviral Immunity
• Ubiquitination
• Host-Pathogen Interactions
• +۴ مورد دیگر

Natalie Borg is an Adjunct Senior Research Fellow at the Department of Biochemistry and Molecular Biology within Monash Biomedicine Discovery Institute . She obtained her Ph.D. in 2003 from the University of Melbourne (Department of Microbiology and Immunology) and has been a laboratory head at Monash since 2006. Her work focuses on antiviral immunity , ubiquitination , and host-pathogen interactions . Education: Ph.D., Microbiology and Immunology, University of Melbourne (2003) Her research spans RNA helicases (e.g., DDX3X), structural biology of viral proteins, and ubiquitination in immune signaling. She has led projects on Hendra virus inhibitors and antimalarial drug targets , with recent studies on broad-spectrum antivirals and HIV replication mechanisms. Her scientific publications (48 outputs) include high-impact reviews on NLRP3 inflammasome modulation and original research on RNA helicase inhibitors (e.g., Trends in Microbiology 2023, Frontiers in Immunology 2022). She has received 15 awards , including the ARC Future Fellowship (2012) and L'Oreal Women in Science Fellowship (2018). Scientific Awards: NHMRC Peter Doherty Fellowship NHMRC Career Development Award L'Oreal for Women in Science Fellowship ARC Future Fellowship Aegean Conferences Travel Award Applied Biosystems Edman Award BDI Industry Engagement Funding Borg accepts Ph.D. students and has served as a keynote speaker at the Melbourne Protein Group Student Symposium (2017). She contributes to peer review for journals like Wellcome Trust and Health Research Council of New Zealand .

Lukas Riedelمشاهده پروفایل

پژوهشگر

• Climate Risk Modeling
• Flood Impact Assessment
• Soil Hydrology
• +۴ مورد دیگر

Lukas Riedel is a Researcher at the Department of Environmental Systems Science (D-USYS) at ETH Zurich, affiliated with the Weather and Climate Risk Group under Prof. David N. Bresch and collaborating with MeteoSwiss. His research focuses on climate risk modeling, particularly impact estimation of hydrometeorological events using the CLIMADA platform in the Weather4UN project. He specializes in fluvial flood inundation modeling, socio-economic impact assessments, and open-source software development for disaster risk reduction. Education: Dr. Riedel holds a Physics degree from Heidelberg University and a PhD in numerical modeling and data assimilation of soil water flow from the Institute of Environmental Physics. His postdoctoral work included developing elasticity models for biological cells at the 'Structures' Cluster of Excellence, collaborating with the Physics of Complex Biosystems and Scientific Computing groups. Research Interests: His work bridges environmental physics and computational science, with contributions to software frameworks like DORiE (soil water flow solver) and Utopia (modeling complex systems). He emphasizes open data utilization, such as OpenStreetMap integration for climate risk assessments, and anticipatory humanitarian action through impact-based forecasting. Key Projects: Co-developed the globally consistent river flood impact model using open data, and advanced CLIMADA’s impact function calibration module. His research addresses flood hazard mapping, tropical cyclone displacement forecasting, and uncertainty quantification in climate risk models. Awards: None explicitly mentioned. Advising & Grants: No formal advisees listed, but contributes to collaborative projects like Weather4UN, which integrates multi-stakeholder decision-making for humanitarian response. Labs/Teams: Core member of the Weather and Climate Risk Group at ETH Zurich, and previously part of the 'Structures' Cluster of Excellence and the Interdisciplinary Center for Scientific Computing (IWR).

Dumitru A. Iacobasمشاهده پروفایل

استادیار مهمان

• Neurogenomics
• Cardiogenomics
• Cancer Genomics
• +۳ مورد دیگر

Dumitru A. Iacobas is a Visiting Assistant Professor at the Dominick P. Purpura Department of Neuroscience, affiliated with Prairie View A&M University's R.G.P. College of Engineering. His research spans neurogenomics, cardiogenomics, cancer genomics, and mathematical modeling of complex biosystems, focusing on gene regulatory networks and intercellular signaling mechanisms. Core Research: Identifying gene master regulators for cancer therapy, characterizing genomic fabric topology in disease states, and modeling calcium signaling in complex tissues Methodologies: Developed computational tools for transcriptomic analysis and patented micro-pipette fabrication techniques Publication Trends: Recent work emphasizes neurological diseases, cancer biomarkers, and systems biology approaches, with a 2025 special issue on neurogenomic fabric in brain disorders His academic contributions include foundational books on biophysics and pharmacology, alongside numerous patents from the 1980s-1990s related to electrophysiological instrumentation.

Maaria Malkamäkiمشاهده پروفایل

پژوهشگر

• Protein Science
• Material Science
• Biochemistry
• +۳ مورد دیگر

Maaria Malkamäki is a Doctoral Researcher at Aalto University's School of Chemical Engineering, affiliated with the Department of Bioproducts and Biosystems and the Biomolecular Materials research group. She holds a Master's degree in Engineering and Technology from Aalto University (2021). Her research focuses on protein science, material science, and biomolecular engineering, with an emphasis on analytical methods for protein quantification, silk protein condensates, and the structural and solvation properties of biomaterials. Her work contributes to sustainable materials development and biotechnology applications. Recent publications include advancements in radioimmunoassay techniques for protein analysis and studies on solvent effects on protein structures. Malkamäki has presented her findings at international conferences and engaged in public outreach activities to promote materials science education. She collaborates with interdisciplinary teams exploring biomaterials and protein technologies.

Sun Da-Wenمشاهده پروفایل

استاد

• Quality and safety of food products
• Computer vision and hyperspectral imaging technology
• Cooling, drying and refrigeration processes and systems
• +۱ مورد دیگر

Dr. Sun Da-Wen is a Full Professor at University College Dublin (since 2006), with a career spanning over three decades in food engineering and refrigeration science. He has held academic roles from Lecturer (1995) to Full Professor, and has been affiliated with UCD since 1995. His research focuses on food safety, advanced imaging technologies (e.g., terahertz imaging), refrigeration systems, and bioprocess optimization. He leads global initiatives in agricultural and biosystems engineering, including founding the International Academy of Agricultural and Biosystems Engineering. Education & Career: 1988-1989: Lecturer at South China University of Technology 1989-1990: Postdoctoral Researcher at University of Stuttgart (Germany) 1990-1991: Research Fellow at Queen’s University Belfast 1991-1994: Research Fellow at University of Newcastle upon Tyne Research Interests: Dr. Sun’s work addresses cutting-edge challenges in food engineering, including non-destructive quality assessment (e.g., pest detection via terahertz imaging), novel drying and freezing technologies, and sustainable food preservation. He pioneers innovations like green cryoprotective agents and smart packaging materials for temperature regulation. Awards & Recognition: Highly Cited Researcher (Clarivate Analytics, 2015–2023) Member of Academia Europaea (2011) Foreign Member of Polish Academy of Sciences (2017) IAEF Lifetime Achievement Award (2015) Labs & Collaborations: His research integrates interdisciplinary approaches, leveraging advanced spectroscopy, machine learning, and nanotechnology. Key projects include developing SERS-based sensors for pesticide detection and optimizing non-thermal processing techniques for food safety and quality.

Jörg Stellingمشاهده پروفایل

استاد

• Computational Systems Biology
• Systems Biology
• Bioinformatics
• +۵ مورد دیگر

Prof. Jörg Stelling is a Full Professor in Computational Systems Biology at ETH Zürich's Department of Biosystems Science and Engineering (BSSE), based in Basel. He leads the CSB Group, focusing on interdisciplinary research spanning computational methods, systems biology, and synthetic biology. His work integrates mathematical modeling with experimental studies, particularly using budding yeast as a model organism. Education: Bachelor/Master in Biotechnology from TU Braunschweig (1989–1996) PhD in Systems Biology from University of Stuttgart and Max Planck Institute for Dynamics of Complex Technical Systems (2004) Research Interests: Analysis/synthesis of biological networks, multiscale modeling, enzyme kinetics, metabolic flux analysis, and synthetic biology applications. His group develops tools like ENKIE for kinetic parameter prediction and explores cellular network dynamics using systems theory and computer science methods. Lab/Teams: The Computational Systems Biology Group includes biologists, engineers, and mathematicians. Recent projects include modeling diabetes (Dana's PhD), cell-to-cell variability (Paul's work), and viral uncoating mechanisms. Grants/Awards: Active in securing interdisciplinary funding but no specific awards listed.

• Plant Biology
• Systems Biology
• Proteomics
• +۷ مورد دیگر

Prof. Waltraud Schulze is a Professor in the Computational Science Hub (CSH) and Deputy Dean (2nd Prodean) of the Faculty of Natural Sciences at the University of Hohenheim. She leads the Plant Systems Biology research group (Fg. Systembiologie der Pflanze) and chairs the Großgerätekommission committee. Her interdisciplinary roles also include co-leading the International Graduate School (Graduiertenkolleg) focused on maize-based agricultural systems under phosphorus limitations. Affiliations: University of Hohenheim, Faculty of Natural Sciences, Plant Systems Biology Group, Computational Science Hub (CSH) Departments: Plant Systems Biology Research Group Committees: Großgerätekommission (Chair), International Graduate School (Project Leader) Her research focuses on plant nutrient signaling, proteomics, and systems biology. Key themes include nutrient uptake mechanisms (nitrogen, phosphorus), calcium signaling pathways, and stress response adaptations. Her work integrates molecular biology, biochemistry, and computational methods to study plant-microbe interactions, root development, and agricultural sustainability. Recent articles highlight advancements in plant stress responses, proteomic profiling under drought, and the structural biology of nutrient transporters. Her studies often bridge basic research with applied agronomy, addressing global challenges like phosphorus scarcity in crop systems. Grants & Projects: Leads the International Graduate School 'Adaptation of Maize-Based Production Systems' Labs/Teams: Plant Systems Biology Group, CSH Collaborations

Borja Ibarra Urruelaمشاهده پروفایل

استادیار

• Molecular Biophysics
• Single-Molecule Biophysics
• Biological Molecular Motors
• +۵ مورد دیگر

Borja Ibarra Urruela is an Assistant Research Professor at IMDEA Nanociencia, where he leads the Molecular Motors Manipulation Lab within the Nanobiosystems research line. He joined the institute in January 2010, bringing expertise in single-molecule manipulation techniques to study complex biological systems. His research focuses on the biophysical characterization of biological molecular motors using optical tweezers and single-molecule data analysis. His work lies at the intersection of molecular biology, biophysics, and nanotechnology, aiming to understand the mechanics of multi-state biomolecular systems at the single-molecule level. Borja Ibarra obtained his PhD in Molecular Biology from Universidad Autónoma de Madrid in 2001. He pursued postdoctoral training at UC Berkeley in the lab of Prof. Carlos Bustamante, where he specialized in generating and interpreting single-molecule data on complex biological systems. He previously worked at the Centro Nacional de Biotecnología (CNB-CSIC) in Madrid before establishing his independent research line at IMDEA Nanociencia. His career trajectory reflects a strong commitment to advancing nanoscale biosystem research through precision experimental methods. Dr. Ibarra is actively involved in research leadership and laboratory development. He founded and directs the Molecular Motors Manipulation Lab, which focuses on cutting-edge investigations into molecular motor dynamics and function using nanomanipulation technologies.

Silas J. Leavesleyمشاهده پروفایل

استاد

• Biomedical Imaging
• Hyperspectral Imaging
• Spectral Analysis
• +۷ مورد دیگر

Silas J. Leavesley, Ph.D. is a Professor in both Chemical Engineering and Biomedical Engineering at the University of South Alabama's College of Engineering, Department of Chemical & Biomolecular Engineering. He leads research in advanced imaging technologies with a focus on translating laboratory innovations into clinical applications. Education: Ph.D. in Biomedical Engineering from Purdue University B.S. in Chemical Engineering from Florida University Dr. Leavesley's research focuses on developing optical imaging and illumination technologies for biomedical and clinical applications. His work spans hyperspectral imaging techniques applied to microscopy, endoscopy, and small-animal fluorescence imaging. He has designed spectral small animal fluorescence imaging systems, optical tissue phantoms for imager calibration, spectral image analysis techniques, and novel endoscopic approaches. His current research emphasizes translating hyperspectral imaging technologies into real-time clinical diagnostic devices with improved detection sensitivity and specificity at low cost. His work on 4D and 5D imaging (x, y, z, λ, t dimensions) has enabled groundbreaking visualization of cAMP signaling gradients in living cells. Analysis of his recent publications reveals a strong trend toward clinical translation of imaging technologies, particularly in cancer detection (colon cancer), pulmonary biology, and cardiovascular applications. His work consistently combines engineering principles with biological discovery, creating novel imaging platforms that reveal previously hidden cellular processes. The recurring themes across his publications include spectral imaging, FRET technology, cAMP signaling dynamics, and the development of innovative optical instrumentation. Dr. Leavesley teaches multiple courses including EG 101 Introduction to Engineering and Design, CHE 311 Equilibrium Stage Operations, CHE 342 Engineering Communications, CHE 352 Process Measurement Lab II, CHE 372 Chemical Reactor Design, and EG 620 Biomedical Instrumentation, Imaging, and Modeling. As a key member of the BioImaging and BioSystems center at the University of South Alabama, Dr. Leavesley collaborates with researchers from Chemical and Mechanical Engineering, Pharmacology, Physiology, the Center for Lung Biology, and the Mitchell Cancer Institute. The BioImaging center's mission is to develop new approaches for understanding complex biological systems through cutting-edge imaging technologies and multi-scale systems modeling, with a particular emphasis on 5D imaging (x, y, z, λ, t) that captures spatial, spectral, and temporal dimensions of biological processes.