جست‌وجوی استاد و پژوهشگر

Jeffrey Heysمشاهده پروفایل

استاد

• Fluid-structure interactions
• Biofilm modeling
• Computational fluid dynamics
• +۵ مورد دیگر

Jeffrey Heys is a Professor and Department Head in the Department of Chemical and Biological Engineering at Montana State University. He holds a B.S. from Montana State University and M.S. and Ph.D. in Chemical Engineering from the University of Colorado Boulder, with a postdoctoral fellowship in Applied Mathematics at the latter institution. His research focuses on applying conservation laws (mass, momentum, energy) to biological systems, particularly fluid-structure interactions in biofilms and sensory systems. Key areas include nanoparticle synthesis modeling, microbial consortia dynamics, and high-order finite element methods. He leads the Computational Biofluids Group, developing tools like the Parafos DG-INS solver and nanoSynth for radiation detection. Research Highlights : Developed computational frameworks for biofilm deformation analysis and particle transport in airways Pioneered weighted least-squares finite element methods for cardiovascular flow analysis Explored applications of machine learning in educational curriculum design Advisees include Lori Ray (current), Tim Johnson (current), and former students such as Brad Merchant and Clint Wininger. His work has spanned collaborative projects with institutions like the University of Colorado and Los Alamos National Laboratory.

Mohamed Rashrashمشاهده پروفایل

دانشیار

• Pharmacy Education
• Health Informatics
• Medication Safety
• +۵ مورد دیگر

Mohamed Rashrash, PhD, is an Associate Professor in the Department of Pharmaceutical and Administrative Sciences at the University of Charleston’s School of Pharmacy. He holds a BPharm, MPharm, and PhD in pharmacy-related disciplines. His primary affiliations include the School of Pharmacy and collaborative roles with departments in Jordan, UAE, and Malaysia. Dr. Rashrash’s research focuses on pharmacy education innovation, curriculum transformation, medication safety practices, and international student integration in healthcare programs. His work spans academic leadership models for curricular change, comparative analyses of pharmacy programs, and studies on diversity in healthcare education. He has investigated medication safety through clinical case studies and explored public health topics such as herbal medicine use, pharmacist-administered services, and vaccination accessibility. His research also addresses global education challenges, including pandemic impacts on international students and cross-cultural learning dynamics. Key themes in his 15 most recent articles (2017–2025) include curriculum evaluation, student performance metrics, healthcare workforce trends, and policy implications for pharmacy education. He has systematically analyzed medication safety protocols, ontological representations of causality in health informatics, and the role of pharmacists in vaccination services. Dr. Rashrash has collaborated with institutions worldwide, including the University of Sharjah (UAE), Jordanian health organizations, and Malaysian pharmacy policy groups. His work emphasizes evidence-based approaches to program development and inclusive educational practices.

Jonathan Sewell Finkelمشاهده پروفایل

دانشیار

• Microbiology
• Molecular Biology
• Genetics
• +۳ مورد دیگر

Jonathan Sewell Finkel is an Associate Professor of Biology at the University of Detroit Mercy's College of Engineering & Science. He joined the department in fall 2016 and teaches courses in genetics, molecular biology, microbiology, and bioinformatics, including the HHMI-designed SEA-PHAGES and SEA-GENES curricula. Education : Ph.D. in Cellular and Molecular Biology from University of Wisconsin-Madison; B.A. in Chemistry and Norwegian from Saint Olaf College Dr. Finkel's research focuses on Candida albicans pathogenesis, particularly its biofilm formation on implanted medical devices and associated bloodstream infections. His work intersects microbiology, molecular biology, and biomedical applications. Scientific Awards : NIH Kirschstein National Research Service Award NIH Kirschstein National Research Service Award F32 National Science Foundation First IV Teaching Fellowship National Priority Research Program Grant (Qatar National Research Fund) He previously held faculty positions at Carnegie Mellon University Qatar and has contributed to curriculum development through HHMI programs.

Mara Livezeyمشاهده پروفایل

استادیار

• Cancer Biology
• Drug Development
• Chemistry Education
• +۴ مورد دیگر

Mara Livezey is an Assistant Professor of Biochemistry at the University of Detroit Mercy , affiliated with the Department of Chemistry and Biochemistry within the College of Engineering & Science . She joined Detroit Mercy in 2018 as an instructor and transitioned to her current role in 2019. Her work emphasizes equitable teaching practices, social justice integration, and cancer biology research. Dr. Livezey holds a Ph.D. in Biochemistry from the University of Illinois Urbana-Champaign and a B.A. in Chemistry from Kalamazoo College . She teaches courses in biochemistry, organic chemistry, and drug mechanisms for non-majors. Her research focuses on small molecule anticancer drugs and the anticipatory unfolded protein response (aUPR), with a lab dedicated to inclusive science practices. Her research interests blend cancer biology , drug development , and equitable STEM education . Recent work explores TRPM4's role in immunogenic cell death and the interplay between aUPR activation and autophagy. She also investigates integrating diversity, equity, and inclusion (DEI) into biochemistry curricula to enhance student outcomes. Dr. Livezey’s publications span molecular mechanisms of cancer therapy, DEI pedagogy, and green chemistry. She co-founded the Livezey Lab , fostering an inclusive environment prioritizing marginalized groups. Though no awards are listed, her work aligns with Detroit Mercy’s mission of community engagement and social justice. Her advising and grants focus on undergraduate research experiences, with a particular emphasis on equitable grading strategies. The Livezey Lab collaborates with the American Medallic Sculpture Association to merge science and art in community service projects.

Stephanie Strandمشاهده پروفایل

دانشیار

• Molecular Biology
• Genetics
• Environmental Microbiology
• +۴ مورد دیگر

Stephanie Strand is an Associate Professor of Biology at The College of Wooster, specializing in Molecular Biology and Genetics. She holds a B.S. from the University of Nevada, Reno (1995) and a Ph.D. from Washington University in St. Louis (2004). Her research focuses on microbial biodegradation of pharmaceuticals, molecular mechanisms of HSV-1 viruses, and interdisciplinary educational initiatives in computational biology. She is affiliated with the Biology Department and maintains an active research program involving undergraduate students. Contact: sstrand@wooster.edu, Office: Williams 292. Research Interests: Dr. Strand’s work bridges environmental microbiology and virology. She investigates bacterial degradation of antidepressants (e.g., venlafaxine, sertraline) and explores HSV-1 viral protein functions in pathogenesis. Her educational efforts emphasize hands-on learning in genetics and computational biology. She also promotes science outreach to engage high-school students in biomedical research. Publications Trends: Her articles reflect a dual focus on environmental bioremediation and viral molecular biology. Recent work (2010s) emphasizes pharmaceutical biodegradation, while earlier studies (2000s) centered on HSV-1’s virion host shutoff protein. She also publishes on innovative undergraduate curriculum development and science communication strategies. Awards/Grants: No specific honors or grants are listed in the provided text. Advising & Labs: Details about student advising or affiliated labs/teams are not explicitly mentioned in the source material.

Xiaohui Zhongمشاهده پروفایل

استاد

• Probability and Statistics
• Actuarial Science
• Applied Mathematics
• +۳ مورد دیگر

Xiaohui Zhong is a Professor of Mathematics & Computer Science at the University of Detroit Mercy (UDM), affiliated with the College of Engineering & Science. She teaches a wide range of mathematics courses, including actuarial science, statistics, calculus, and engineering mathematics. She is the developer of the actuarial science minor program and advises students in this area. Her research focuses on applying statistics and probability in engineering and science, with a emphasis on transportation systems and interdisciplinary education. Dr. Zhong has led or co-led multiple NSF grants, including a $598K NSF-funded initiative to advance women in STEM and a $194K project to transform STEM policies at UDM. Education: Ph.D., Mathematics, Wayne State University, 1991 M.S., Mathematics, Wayne State University, 1987 M.S., Mathematics, South China University of Technology, 1985 B.S., Mathematics, South China University of Technology, 1982 Research Interests: Dr. Zhong’s work bridges theoretical mathematics with practical applications. She develops statistical models for transportation infrastructure (e.g., light rail system cost analysis) and explores innovative teaching methods like project-based learning in biostatistics. Her grants include collaborations with the Department of Transportation and the Mineta National Transit Research Consortium. Grants & Projects: NSF Grant #1409118: Transforming STEM Policies ($194,500) NSF Grant #1107034: Advancing Women in STEM ($598,611) DOT Grant: Southeast Michigan Transit Public Opinion Study ($233,783) Internal grants for app development and service-learning initiatives (e.g., $1,500 for Light Rail Cost Design APP) Labs/Teams: Collaborates with interdisciplinary teams on projects such as computational physics minors and collaborative filtering algorithms. Key collaborators include Utpal Dutta (transportation modeling) and Kevin Daimi (computational statistics).

Jacob Kageyمشاهده پروفایل

استاد

• Genetics
• Molecular Biology
• Cell Growth and Division
• +۶ مورد دیگر

Jacob Kagey is a Professor of Biology and Chair at the University of Detroit Mercy's College of Engineering & Science . His academic journey includes a B.A. in Genetics from Ohio Wesleyan University and a Ph.D. in Genetics and Molecular Biology from Emory University, followed by a NIH FIRST postdoctoral fellowship. Education: B.A. in Genetics, Ohio Wesleyan University Ph.D. in Genetics and Molecular Biology, Emory University Dr. Kagey's research spans two domains: Drosophila-based genetic studies to understand cancer-related cell growth regulation and Classroom-based Undergraduate Research Experiences (CUREs) . His lab investigates mutations in genes like Patched , EGFR , and Capping Protein α , while his CUREs courses engage students in bioinformatics projects through the SEA-PHAGES and Genomics Education Partnership programs. His recent publications focus on bacteriophage genomics, gene structure education, and epigenetic reprogramming in cancer. Dr. Kagey's scientific achievements include the NIH FIRST postdoctoral fellowship. His work bridges cutting-edge research with innovative pedagogy, fostering student engagement in genomics and molecular biology. Scientific Awards: NIH Fellowships In Research and Science Teaching (FIRST) postdoctoral fellow He teaches courses such as Genetics , Bioinformatics , and Genetics Laboratory , integrating research into the classroom. His lab collaborates with national programs like SEA-PHAGES and GEP to advance genomics education and discovery.

Robi Polikarمشاهده پروفایل

استاد

• Machine Learning
• Pattern Recognition
• Computational Intelligence
• +۵ مورد دیگر

Robi Polikar is Professor and Department Head of Electrical & Computer Engineering at Rowan University's Henry M. Rowan College of Engineering. He holds a PhD in Electrical Engineering and Biomedical Engineering from Iowa State University. His research develops fundamental computational intelligence approaches for machine learning challenges in nonstationary environments, adversarial settings, and biomedical applications. Polikar's impactful research areas include adversarial machine learning defenses, incremental learning algorithms for streaming data, ensemble-based systems for imbalanced datasets, and applications to metagenomic classification. He directs the Signal Processing and Pattern Recognition Laboratory (SPPRL) where his group studies concept drift, missing data problems, and high-content screening. His publication record demonstrates sustained innovation in adaptive learning systems, with recent advances in adversarial robustness for continual learners, incremental bioinformatics algorithms, and noise-resistant classification. His research has applications in healthcare diagnostics, transportation analytics, and security systems. Honors include the IEEE Computational Intelligence Magazine Best Paper Award, NSF CAREER Award, and Rowan University Research Achievement Award. He has graduated 16 PhD students who now hold positions in academia and industry.

Jodi Schwarzمشاهده پروفایل

دانشیار

• Coral Symbiosis
• Reproductive Genomics
• Inclusive Science Pedagogy
• +۲ مورد دیگر

Jodi Schwarz is an Associate Professor of Biology at Vassar College, affiliated with Biochemistry and Environmental Studies programs. She directs the Symbiosis, Reproduction, and Inclusive Science Lab, focusing on coral symbiosis mechanisms, reproductive genomics, and evidence-based STEM pedagogy. As Founding Director of Vassar's HHMI-funded Grand Challenges initiative, she promotes inclusive academic communities. Her research bridges molecular ecology and educational innovation, examining: Coral-algal symbiosis under environmental stress Genomic adaptations in cnidarians Pedagogical frameworks for inclusive science education Publications (2014-2023) demonstrate cross-disciplinary trends: 38% focus on coral genomics and symbiosis mechanisms, 31% on educational methodologies, and 25% on environmental toxicology. Recent works increasingly address climate change impacts and transdisciplinary education models. Leadership roles include directing Vassar's URSI Summer Research, Environmental Research Institute, and Biochemistry Program. She has conducted research at DIS Study Abroad and utilizes genomic, cellular, and bioinformatic approaches in her lab.

Clark R Coffmanمشاهده پروفایل

دانشیار

• Cell Migration
• Programmed Cell Death
• Cancer Metastasis
• +۳ مورد دیگر

Clark R. Coffman is an Associate Professor in the Department of Genetics, Development, and Cell Biology at Iowa State University. He holds a B.S. in Zoology from Iowa State (1986) and a Ph.D. in Biology from the University of California, San Diego (1993). His postdoctoral research at Boulder (1993–1997) focused on developmental biology under Robert E. Boswell. Education: B.S., Zoology, Iowa State University, 1986 Ph.D., Biology, University of California, San Diego, 1993 Research focuses on regulatory networks governing cell migration and programmed cell death in Drosophila germ cells, with applications to metastatic cancer and embryonic development. His lab uses genetic, molecular, and cellular biology tools to study signaling pathways in germ cell migration and survival mechanisms. Key areas include understanding how cells navigate tissues, regulate apoptosis, and resist death signals during metastasis. Publications span developmental biology, cell signaling, and educational pedagogy, reflecting his dual expertise in research and teaching innovation. Notable themes include germ cell migration mechanisms, GPCR function, and educational strategies to improve student learning outcomes in large biology courses. No scientific awards are explicitly listed in the provided information. Advising and grant details are not specified, though his research indicates active participation in collaborative projects. His laboratory is a key contributor to studies of fundamental biological processes in developmental and cancer biology contexts.

Julie A Dickersonمشاهده پروفایل

استاد

• Metabolomics
• Image Processing
• Machine Learning
• +۴ مورد دیگر

Julie A. Dickerson is a Professor in the Department of Electrical and Computer Engineering (ECpE) at Iowa State University (ISU). She holds a B.S. from UC San Diego and M.S./Ph.D. from USC. Her research focuses on Metabolomics, Image Processing, Machine Learning, systems biology, and bioinformatics education. She leads ISU's Bioinformatics and Computational Biology program and currently serves as a Program Officer at NSF's Biology Directorate. Dr. Dickerson has over 100 peer-reviewed publications and supervises grants from NSF, USDA, and ARDA. Education: B.S. Electrical Engineering (UCSD), M.S./Ph.D. Electrical Engineering (USC). Professional Experience: Radar systems design at Hughes Aircraft/Martin Marietta, VR Applications Center fellow, and Baker Center for Bioinformatics member. Research Interests: Integrates engineering principles with biological systems, emphasizing data visualization, metabolic engineering, and computational tools for bioinformatics. Active in educational innovations such as lab exercises for Signals & Systems and Pattern Recognition courses. Grants & Awards: Funded projects include predictive plant phenomics training and fatty acid tolerance in microbes. She collaborates across disciplines, including with plant scientists and data scientists. Labs/Teams: Virtual Reality Applications Center, Baker Center for Bioinformatics, Plant Sciences Institute, and Human-Computer Interaction Program.

Ángela Troncoso Garcíaمشاهده پروفایل

استادیار

• Data Science
• Explainable Artificial Intelligence
• Time-Series Forecasting
• +۴ مورد دیگر

Ángela Troncoso García is an Assistant Professor in the Computer Science Division of the School of Engineering at Universidad Pablo de Olavide (UPO), Seville, Spain, and concurrently a PhD candidate in Computer Science within the Data Science and Big Data Lab at UPO. Her profile spans biomedical engineering, data science and explainable AI, with applied work in agriculture, environment and healthcare. Education: B.Sc. in Biomedical Engineering, University of Seville, 2020 M.Sc. in Biomedical Engineering and Digital Health, University of Seville, 2021 PhD in Computer Science (ongoing), Universidad Pablo de Olavide Research Interests: Dr. Troncoso García focuses on explainable artificial intelligence for time-series forecasting, biomedical signal analysis, bioinformatics, and IoT-based health monitoring. She develops interpretable machine-learning models that fuse deep learning with association-rule mining and evolutionary optimization, targeting real-world problems such as pest prediction in olive groves, ozone-level forecasting, sleep-apnea detection and evapotranspiration estimation. Publication Trends: Since 2021 she has authored 15+ peer-reviewed contributions. Her recent work (2023-2025) emphasises explainability in specialised domains—agriculture, energy, environment, genomics and sleep medicine—demonstrating a clear trajectory toward transparent, trustworthy AI systems that support expert decision making. Awards & Recognition: No specific scientific awards or fellowships are listed in the available material. Advising & Grants: No supervised students or personal grant references are provided in the source text. Labs & Teams: She carries out her research within the Data Science and Big Data Lab at Universidad Pablo de Olavide, collaborating on interdisciplinary projects such as Big Time, Aware Data, EasyM2M and IA²GIP.

Andrew Binkowskiمشاهده پروفایل

پژوهشگر

• Computer-Aided Drug Discovery
• Infectious Disease Research
• Mobile Application Development
• +۳ مورد دیگر

Andrew Binkowski is a Researcher at the University of Chicago, affiliated with the Computation Institute and Argonne National Laboratory. He holds a PhD in Bioengineering and an MBA from the University of Illinois at Chicago, along with a B.S. in Mechanical Engineering from the University of Illinois at Urbana-Champaign. His research focuses on computer-aided drug discovery for infectious diseases, leveraging supercomputing resources, while also teaching Mobile Application Development in iOS technologies through the University of Chicago's Masters Program in Computer Science. His teaching philosophy emphasizes independent learning and foundational programming concepts applicable across platforms. He has developed over 20 iOS applications featured in the App Store and contributed to educational software standards advocacy in Washington D.C. Research interests span protein structure analysis, computational biology, and educational technology. His work bridges academia and industry through collaborations in drug discovery, high-performance computing, and STEM education. Professional memberships include the American Crystallographic Association and Biophysical Society. Recent research has explored therapeutic targeting of cancer metastasis, computational thinking education frameworks, and structural biology of pathogenic proteins. No notable awards are explicitly mentioned, though his contributions to computational drug discovery and educational software are highlighted.

Borja Sotomayorمشاهده پروفایل

استاد

• Computer Science Education
• Distributed Systems
• Resource Allocation
• +۳ مورد دیگر

Borja Sotomayor is a Senior Instructional Professor in the Department of Computer Science at the University of Chicago. He specializes in teaching introductory computer science, software development, and computer networks. His research focuses on resource allocation in distributed systems using virtualization and, more recently, on computer science education. He has published widely in these areas and contributed to projects like the chidb database system and the Haizea resource management framework. He is actively involved in campus activities, including advising student organizations and designing educational tools. Sotomayor holds a PhD from the University of Chicago (2010) and has authored books on the Globus Toolkit. He is also known for designing t-shirts and promoting STEM education through initiatives like the CRA Education Committee.

• Research Data Management
• FAIR Data
• Open Data
• +۷ مورد دیگر

Prof. Frank Oliver Glöckner is a leading academic in Earth System Data Science, holding dual roles as Professor at the University of Bremen and Head of PANGAEA & Data at the Alfred Wegener Institute (AWI). His work focuses on advancing Research Data Management (RDM), FAIR Data principles, and infrastructure development, particularly in biodiversity and environmental science. He pioneers initiatives like the National Research Data Infrastructure (NFDI4BioDiversity) and leads PANGAEA, a global data publisher for geosciences and environmental research. Key research areas include bioinformatics, microbial genomics, and interdisciplinary data integration. He has published extensively on topics such as data commons, microbial sequence analysis, and FAIR-compliant workflows. His contributions bridge academia, policy, and industry, emphasizing open science and global collaboration. He has led major projects like the MOSAiC Arctic Expedition’s data management framework and the MOD-CO schema for meta-omics data. His work ensures data transparency in climate and biodiversity studies, with a focus on empowering researchers through standardized tools and training programs.