جست‌وجوی استاد و پژوهشگر

Jenny Feigeمشاهده پروفایل

پژوهشگر

• Cosmic Dust
• Astrophysics
• Isotope Geochemistry
• +۴ مورد دیگر

Dr. Jenny Feige is a Researcher at the Museum of Natural History Leibniz Institute for Evolution and Biodiversity Research in Berlin, Germany. She serves as the project leader of the ERC Starting Grant NoSHADE (2023-2028), which focuses on novel perspectives on our Solar System history recorded in the Atacama Desert. Her research interests center on the origin of cosmic dust on Earth, including interstellar dust from nearby stellar explosions through the detection of radioactive supernova isotopes, and interplanetary dust found on Earth's surface as micrometeorites. Her work bridges astrophysics, geochemistry, and planetary science, with a particular focus on understanding supernova activity and its signatures in terrestrial archives. Analysis of her publication record from 2012-2024 reveals a strong focus on supernova-produced radionuclides (particularly 60Fe and 244Pu), cosmic dust transport mechanisms, and the application of advanced analytical techniques like Accelerator Mass Spectrometry. Her research spans multiple disciplines including astrophysics, geochemistry, planetary science, and nuclear physics, with publications appearing in high-impact journals such as Nature, PNAS, and Astronomy & Astrophysics. Scientific Awards: ERC Starting Grant NoSHADE (2023-2028) Dr. Feige's research program involves extensive international collaboration across multiple institutions and disciplines. Her work on supernova-produced radionuclides in deep-sea sediments and meteoritic material has significantly contributed to our understanding of recent stellar activity near our solar system and the transport mechanisms of extraterrestrial material to Earth. She employs cutting-edge analytical techniques including Accelerator Mass Spectrometry to detect minute quantities of cosmogenic and supernova-ejected radionuclides.

Andreas Zendlerمشاهده پروفایل

استاد

• Software Engineering for Cloud Computing
• Data Science / Data Mining
• Empirical Computer Science Didactics
• +۹ مورد دیگر

Andreas Zendler serves as Director of the Institute of Computer Science at Ludwigsburg University of Education (2023-25), where he has held various leadership positions since 2004, including Head of the Department of Computer Science (2018-2022) and Director of the Institute of Mathematics and Computer Science (2011-2016). As a Professor (C4) for Computer Science and its Didactics since 2004, he has shaped computer science education programs including the BA/MA degree program in Computer Science. Zendler earned dual doctorates - a Dr. rer. nat. in Practical Computer Science from the University of Potsdam (1997) and a Dr. phil. in Experimental Psychology from the University of Regensburg (1988), followed by his habilitation in Practical Computer Science at the University of Potsdam (2000). His academic journey spans computer science, psychology, and education, creating a unique interdisciplinary foundation for his research. His research focuses on empirical computer science didactics, software engineering for cloud computing, data science, and the digitalization of teaching through SaaS models. He investigates content and process concepts for computer science teaching, compares learning effectiveness of instructional methods, and develops research methodologies specifically for educational contexts with small sample sizes. His work bridges theoretical frameworks with practical classroom applications across STEM disciplines. Zendler's publication record reveals a consistent trajectory from foundational software engineering research toward educational applications. His recent work (2018-2025) demonstrates increasing specialization in computer science education, particularly in competence measurement frameworks like cpm.4.CSE/IRT and their adaptations for small sample sizes. His upcoming publications indicate a strategic pivot toward AI applications, exploring how LLMs and GPTs can transform both data science practices and software engineering education. Throughout his career, Zendler has served as a dissertation reviewer for Practical Computer Science since 2001 and contributed to numerous research projects funded by organizations including the European Union, the Bavarian Research Foundation, and the German Aerospace Center (DLR). His project leadership spans bioinformatics, educational informatics, and software engineering domains. His methodological expertise includes experimental design for teaching research (particularly 3-factorial designs with repeated measurements), statistical evaluation approaches for small samples, and handling missing data in educational contexts. This technical proficiency supports his broader mission to establish rigorous empirical foundations for computer science education.

Ivo Furnoمشاهده پروفایل

استاد مدعو

• Plasma Physics
• Fusion Energy
• Applied Physics
• +۳ مورد دیگر

Ivo Furno is an Adjunct Professor at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences ( SB ) and affiliated with the Swiss Plasma Center ( SPC ). He holds a joint appointment with the SPH-ENS unit and previously contributed to EDPY-ENS teaching initiatives. His research spans fundamental plasma physics, tokamak experiments (TCV program), and applied plasma technologies including plasma agriculture. Key Collaborations: AWAKE Run 2, DEMO Neutral Beam Injectors, SPIDER, RAID linear device Teaching: General Physics (Thermodynamics), Plasma Diagnostics in Tokamaks Research focuses on plasma turbulence , negative ion sources , self-modulation of relativistic proton bunches , and plasma-seed treatments . His work includes experimental validation of edge turbulence codes , microwave interferometer design , and helicon plasma characterization for fusion applications. Publications highlight 3D plasma dynamics , Langmuir probe analysis , and ion transport phenomena . He has supervised numerous PhD students, including those working on fast ion transport , negative hydrogen ion dynamics , and millimeter-wave diagnostics . Scientific Awards: No explicit awards listed in the data. Students & Collaborations: Mentored PhD candidates such as Riccardo Agnello (helicon plasmas), Rita Agus (plasma diagnostics), and Fabio Avino (dielectric barrier discharges). Past advisees include researchers in plasma agriculture (e.g., Alexandra Waskow) and tokamak experiments (e.g., Federico Nespoli).

Jens Hartmannمشاهده پروفایل

استاد

• Geochemistry
• Biogeochemistry
• Hydrochemistry
• +۶ مورد دیگر

Prof. Dr. Jens Hartmann is Professor of Chemistry of Natural Aqueous Solutions at the University of Hamburg's Faculty of Mathematics, Computer Science and Natural Sciences, Department of Earth Sciences. He additionally serves as Adjunct Professor at the University of Waterloo, Canada since 2013. Academic Background: Habilitation (2008/2009), Darmstadt University of Technology: 'Analysis of CO 2 -consumption and dissolved silica fluxes by chemical weathering' Ph.D. (1998-2001), Karlsruhe University: 'Statistical analysis of earthquake related hydrogeological and geochemical signals' Diploma research on Patagonian Rivers biogeochemistry and Hawai'i geological mapping Professor Hartmann's research focuses on the intersection of aqueous geochemistry and Earth system science, with particular expertise in carbon cycle dynamics and chemical weathering processes. His work bridges field measurements, laboratory analyses, and computational modeling to understand how dissolved matter fluxes operate across regional and global scales. He examines the critical connections between geological processes and climate systems through the lens of biogeochemical cycling. Scientific Recognition: JSPS Postdoctoral Fellowship at Kyoto University, Japan Professor Hartmann maintains an extensive teaching portfolio across multiple degree programs. He instructs undergraduate courses including 'Introduction Rocks and Minerals' and 'Geochemistry,' while graduate-level offerings encompass 'Chemistry of Natural Waters,' 'Hydrochemical Modelling,' and 'Global Biogeochemical Cycles and the Climate System.' His educational contributions extend to developing teaching videos on the Carbon Cycle and Chemical Equations of the Carbon Cycle. As a participating researcher in GRK 2530, Professor Hartmann contributes to estuary research while maintaining connections with the Cluster of Excellence 'Integrated Climate System Analysis and Prediction' (CLISAP). His office is located in Room 1424 at the University of Hamburg's Earth Sciences department.

Gregory Doerkمشاهده پروفایل

پژوهشگر

• Self-assembly
• Block copolymers
• Nanofabrication
• +۵ مورد دیگر

Gregory Doerk is a Materials Scientist specializing in AI Accelerated Nanoscience at Brookhaven National Laboratory's Center for Functional Nanomaterials (CFN). As a key member of the Electronic Nanomaterials Group, he conducts cutting-edge research on self-assembly processes for nanofabrication applications. His work bridges fundamental polymer science with practical applications in energy, optics, and electronics manufacturing. Doerk earned his B.S. in Chemical Engineering from Case Western Reserve University (2005) and his Ph.D. in Chemical Engineering from the University of California, Berkeley (2010). His academic journey was complemented by philosophical studies that shaped his approach to scientific inquiry, recognizing both the power and limitations of scientific knowledge. Dr. Doerk's research focuses on directing the self-assembly of polymers to create tailored nano-architectures for optical, chemical, and energy applications. He specializes in block copolymer systems, developing combinatorial, high-throughput, and adaptive experimental methods to integrate self-assembly into scalable manufacturing processes. His work addresses the challenge of scaling block copolymer assembly to larger feature sizes (approaching 200nm) that can influence light for structural color applications, overcoming the natural limitations of traditional block copolymer systems. His 15 most recent publications reveal a strong trajectory toward AI-accelerated materials discovery, with increasing focus on autonomous experimentation, combinatorial approaches, and hierarchical structures. The research spans fundamental polymer science to applied nanotechnology, with applications in photonic materials, energy conversion, and advanced manufacturing. His work demonstrates a progression from basic self-assembly mechanisms to increasingly sophisticated systems incorporating machine learning and high-throughput methodologies. 2021 DOE Early Career Research Program award recipient As a senior scientist at CFN, Doerk mentors numerous users from academic and industrial institutions worldwide, helping them develop self-assembly processes for diverse applications ranging from microfluidics to biosensing. He has secured significant research funding, including the prestigious DOE Early Career award, and actively contributes to the scientific community through organizing workshops at major conferences including the American Physical Society March Meeting and the NSLS-II & CFN User Meetings. His collaborative approach has resulted in numerous interdisciplinary projects spanning multiple DOE facilities. Dr. Doerk leads research in the Electronic Nanomaterials group at CFN, where he operates specialized equipment for block copolymer self-assembly, solvent vapor annealing, and pattern transfer. His lab focuses on developing adaptive experimental methods that combine self-assembly with AI-driven discovery, creating a unique environment where traditional materials science intersects with cutting-edge computational approaches. The team regularly collaborates with researchers using Brookhaven's National Synchrotron Light Source II for in-situ characterization of self-assembly processes.

Feng Wangمشاهده پروفایل

استاد

• Theoretical and Computational Chemistry
• Molecular Spectroscopy
• Sustainable Aviation Fuels
• +۷ مورد دیگر

Professor Feng Wang is a leading academic in theoretical and computational chemistry at the Department of Chemistry and Biotechnology, School of Science, Computing and Emerging Technologies, Swinburne University of Technology, Melbourne, Australia. She holds a PhD from the University of Newcastle and has held research positions at the University of Waterloo, University of Melbourne, and Swinburne. Education: PhD, The University of Newcastle, Australia MSc (Quantum Chemistry by Research), Sichuan University, China BSc (Physical Chemistry), Sichuan University, China Prof Cert (Teaching Practice, Higher Education), Swinburne University of Technology, Australia Her research spans molecular spectroscopy, sustainable aviation fuels, corrosion science, and computational drug design, with applications in energy, environment, and pharmaceuticals. She employs advanced methods like density functional theory (DFT), molecular dynamics, and machine learning to study molecular systems and materials. Her recent publications (2024–2025) reflect a strong focus on sustainable energy materials—particularly high-energy-density aviation fuels (e.g., JP-10, norbornyl derivatives), CO2 conversion, and battery aging—alongside computational drug discovery for SARS-CoV-2 and flavonoid-based antivirals. These works integrate quantum mechanics, NMR analysis, and AI-driven modeling. Scientific Awards and Honors: Fellow, Royal Australian Chemical Institute (RACI) Fellow, Australian Institute of Physics (AIP) Vice-Chancellor's Research Award, Swinburne University of Technology Professor Wang actively mentors PhD and Master’s students and leads nationally funded research projects. She serves on the Australian Research Council (ARC) College of Experts and has chaired the National Computational Merit Allocation Scheme (NCMAS). She evaluates proposals for international agencies including FRQNT (Canada), SFI (Ireland), FCT (Portugal), and SNSF (Switzerland). Her lab, the Digital Chemistry Research Laboratory, contributes to UN Sustainable Development Goals 7 and 13.

Zachary J. Tonzetichمشاهده پروفایل

دانشیار

• Bioinorganic chemistry
• Catalysis
• Kinetics and mechanism of inorganic reactions
• +۴ مورد دیگر

Zachary J. Tonzetich is an Associate Professor and Graduate Advisor of Record for the PhD program in the Department of Chemistry at the University of Texas at San Antonio (UTSA), where he leads the Tonzetich Research Group within the College of Sciences. His laboratory focuses on synthetic inorganic and organometallic chemistry, with emphasis on Earth-abundant metal catalysis, bioinorganic chemistry, and coordination chemistry. Dr. Tonzetich received his educational training at prestigious institutions: Ph.D. in Inorganic Chemistry from Massachusetts Institute of Technology B.S. in Chemistry from University of Rochester Dr. Tonzetich's research spans three primary areas: Earth-abundant metal catalysis, bioinorganic chemistry, and coordination chemistry. His work in Earth-abundant metal catalysis focuses on understanding the mechanisms of non-precious metal catalysts through synthesis of new organometallic complexes, particularly with iron. In bioinorganic chemistry, he investigates transition-metal compounds containing biologically relevant small molecules like NO and H 2 S. His coordination chemistry research explores new pincer ligands based on pyrrole moieties as alternatives to traditional pyridine-based ligands. An analysis of Dr. Tonzetich's recent publications (2020-2024) reveals a strong focus on iron and cobalt chemistry, particularly with pincer ligands and imido/silyl complexes. His work demonstrates expertise in mechanistic studies of catalytic reactions including hydrosilylation, hydroboration, and nitrene transfer. The publications span high-impact journals across inorganic, organometallic, and catalytic chemistry, reflecting the interdisciplinary nature of his research program. Dr. Tonzetich actively mentors students at all levels, supervising multiple doctoral, master's, and undergraduate researchers in his laboratory. His group has participated in the ACS Project SEED program every summer since 2011, mentoring five different San Antonio area students. He also serves as a judge for science fairs including the Texas Science & Engineering Fair and the Alamo Regional Academy of Science and Engineering Fair. The Tonzetich Research Group operates out of the Biotechnology, Sciences and Engineering Building (BSE) at UTSA, with laboratory space featuring modern equipment including Vacuum Atmospheres gloveboxes, Schlenk lines, solvent purification systems, UV-vis spectrophotometer, electrochemical workstation, and IR spectrometer. The group maintains an active research program with numerous publications and collaborations.

D. Brandon Magersمشاهده پروفایل

استاد

• Computational Chemistry
• Electronic Structure Theory
• Chemistry Education
• +۲ مورد دیگر

Dr. D. Brandon Magers is a Professor and Chair of Chemistry and Physics at Belhaven University , where he has been part of the faculty since 2019. He also serves as a Faculty Fellow of Instructional Technology since 2022, supporting colleagues in integrating educational technology into teaching. Education: B.S., Mississippi College Ph.D., University of Georgia Dr. Magers’ research and teaching interests span Computational Chemistry , Electronic Structure Theory , Chemistry Education , and Physical Chemistry . His work combines theoretical studies of molecular systems with innovative educational approaches to enhance laboratory and programming instruction. His recent publications highlight two main themes: theoretical chemistry (e.g., reaction kinetics, ion binding, and molecular modeling) and chemistry education (e.g., development of open-source tools, data processing in labs). Earlier contributions include foundational studies on strain energy and radical structure using computational methods. Dr. Magers actively mentors undergraduate researchers, guiding presentations at local, regional, and national levels. He also contributes to professional communities as an officer for the Mississippi Local Section of the American Chemical Society .

• Molecular electronics
• Nanoelectronics
• Quantum computing
• +۸ مورد دیگر

Mariagrazia Graziano is an Associate Professor at the Department of Applied Science and Technology (DISAT) at Politecnico di Torino, where she also serves as Director of the Teaching and Language Lab (TLLab). Her academic career spans multiple institutions, including her involvement with doctoral colleges at the University of Palermo for 'Technologies and Methods for University Education' from 2022-2025. Her research interests are at the forefront of nanotechnology and quantum computing, focusing on areas including: Molecular field-coupled nanocomputing Logic-in-memory computing architectures Quantum hardware design and optimization Single-molecule devices for logic and memory applications Nanomagnetism and spintronics Micro-for-Nano (M4N) Systems for Single Molecule Sensors Dr. Graziano's work bridges fundamental physics with practical applications in electronics, with particular emphasis on next-generation computing paradigms that address the memory-wall problem and explore alternatives to traditional von Neumann architectures. Her research has significant implications for fields ranging from molecular electronics to quantum information processing. Her recent publications demonstrate a strong focus on molecular field-coupled nanocomputing, quantum optimization techniques, and single-molecule device modeling. These works reveal a consistent research trajectory toward developing novel computing architectures that leverage quantum effects and molecular-scale phenomena to overcome limitations of conventional semiconductor technology. Dr. Graziano has received notable recognition including the prestigious Marie Curie Intra-European Fellowship for Career Development from the European Commission (2014). She serves as Associate Editor for FRONTIERS IN ELECTRONICS (since 2022) and JOURNAL OF COMPUTATIONAL ELECTRONICS (since 2019), and has participated in program committees for major conferences including the IEEE Design Automation and Test Conference Europe. As an advisor, Dr. Graziano mentors numerous PhD students working on cutting-edge research in quantum computing, molecular electronics, and nanotechnology. Her supervision spans multiple doctoral programs at Politecnico di Torino, with students exploring topics from quantum algorithms for urban traffic optimization to single-molecule junctions for next-generation electronics. Additionally, she leads several research projects including TENS (Toward Excellence in Nanocharacterisation of single-molecule Sensors) and previously served as Scientific Leader for the Quantum Computing e Quantum Networking project. Dr. Graziano is actively involved in the VLSILAB research group, where she contributes to advancing the state-of-the-art in electronic design and nanoscale computing technologies. Her work on patents, particularly the 'Device for Realizing Boolean Logic Functions XOR XNOR Inside Racetrack Memory,' demonstrates her commitment to translating theoretical research into practical technological innovations.

• Microbiology
• Actinomycetes
• Atacama Desert Microbiology
• +۶ مورد دیگر

Dr. Barbara Andrews is a researcher in the Department of Chemical Engineering at the Faculty of Chemical and Pharmaceutical Sciences, Universidad de Chile. Her work focuses on the microbiology of extreme environments, particularly the Atacama Desert, and biochemical separation techniques. She has maintained a consistent research output for over two decades with recent publications extending into 2024. Her primary research interests center on the study of actinomycetes and other extremophiles from the Atacama Desert, one of Earth's most arid environments. Dr. Andrews investigates their taxonomic classification, metabolic capabilities, and biotechnological potential. She also maintains a strong research program in protein separation technologies, particularly aqueous two-phase systems, which has produced influential review articles in the field. Her work bridges fundamental microbiology with practical biotechnological applications, including antibiotic discovery, enzyme production, and microbial contributions to plant growth. Analysis of her recent publication trends shows a clear focus on the microbial ecology of the Atacama Desert, with particular attention to actinomycetes and their unique adaptations to extreme aridity. Her research spans taxonomic studies, metabolic modeling, and the bioprospecting of novel compounds with potential pharmaceutical applications. The interdisciplinary nature of her work connects microbiology, chemical engineering, and environmental science. Dr. Andrews has maintained a productive research program through consistent collaborations, particularly with Dr. Juan Asenjo and other researchers at Universidad de Chile. Her work demonstrates sustained funding support, though specific grant details are not provided in the available publications. She has contributed to special journal issues focused on Atacama Desert microbiology, indicating her recognized expertise in this niche field. Her laboratory appears to focus on the isolation and characterization of extremophilic microorganisms from the Atacama Desert, with particular emphasis on their metabolic capabilities and potential biotechnological applications. The research team likely maintains culture collections of desert microorganisms and employs both traditional microbiological techniques and modern genomic approaches in their investigations.

Veena Sahajwallaمشاهده پروفایل

استاد

• Recycling Science
• Materials Engineering
• Sustainable Materials
• +۷ مورد دیگر

Scientia Professor Veena Sahajwalla is an ARC Laureate Professor and founding Director of the Centre for Sustainable Materials Research & Technology (SMaRT) at the University of New South Wales. She also heads the ARC Industrial Transformation Research Hub for 'green manufacturing' and serves as Director of the NSW Circular Economy Innovation Network. Professor Sahajwalla is internationally recognized for revolutionizing recycling science through her pioneering work in high-temperature transformation of waste into 'green materials.' Professor Sahajwalla's research focuses on sustainable materials engineering, waste transformation, and circular economy implementation. Her work spans materials engineering, metallurgy, polymer science, and environmental technologies. She has developed groundbreaking approaches to recycling complex waste streams including e-waste, plastics, and automotive waste, transforming them into value-added materials for manufacturing applications. Her research integrates fundamental scientific understanding with practical industrial applications to create economically viable and environmentally sustainable solutions. Professor Sahajwalla's publications demonstrate consistent innovation in waste-to-resource conversion technologies, particularly in microrecycling approaches and high-temperature material transformation. Her work shows a clear progression from fundamental research to practical implementation through her microfactory model, which brings recycling solutions directly to waste sources. The research spans multiple disciplines including materials science, metallurgy, polymer engineering, and environmental technology, with increasing focus on decentralized manufacturing systems and circular economy implementation. Fellow of the Australian Academy of Science (2018) PLuS Alliance Prize for Research Innovation (2017) Jubilee Professorship by Indian Academy of Sciences (2017) Australia's Most Innovative Engineers (2016) Australia's 100 Most Influential Engineers (2015) ARC Laureate Fellowship (2014) Howe Memorial Lecture Award (2013) Australian Innovation Challenge Winner for Green Steel (2012) Professor Sahajwalla has secured over $40 million in research funding from diverse sources including the Australian Research Council, NSW Government, and industry partners. Her leadership extends to mentoring programs for girls in science (Science 50:50) and extensive public engagement through media appearances, TED talks, and community outreach. She has established the world's first e-waste microfactory (2018) and plastics microfactory (2019), demonstrating practical applications of her research. As founding Director of the SMaRT Centre at UNSW, Professor Sahajwalla leads a multidisciplinary team focused on sustainable materials research and technology development. The Centre collaborates with industry partners, government agencies, and international research institutions to translate scientific discoveries into real-world environmental and economic benefits through the microfactory model and other innovative approaches to waste valorization.

• Machine Learning
• Quantum Chemistry
• Computational Chemistry
• +۳ مورد دیگر

Pavlo O. Dral serves as Associate Professor at Xiamen University's Department of Chemistry, College of Chemistry and Chemical Engineering since 2019, following postdoctoral research at the Max-Planck-Institut für Kohlenforschung. His academic credentials include: BS (2004-2008), National Technical University of Ukraine M.Sc. (2008-2010), University of Erlangen-Nürnberg Mag. (2008-2010), National Technical University of Ukraine Dr. (2010-2013), University of Erlangen-Nürnberg Dr. Dral's research pioneers the integration of Machine Learning with Quantum Chemistry , focusing on developing the MLatom package for atomistic simulations, creating accurate NDDO-based semiempirical methods, and designing hybrid computational approaches. His work targets efficient solutions for complex physicochemical problems through innovative algorithm development. Analysis of his 15 publications (2014-2020) reveals consistent advancement in machine learning applications across quantum chemistry domains, including potential energy surface modeling, excited-state dynamics, and molecular property prediction. Key thematic trends involve hierarchical learning architectures, big data integration for quantum approximations, and methodological innovations in organic semiconductor characterization. Information regarding scientific awards, student advising, research grants, and laboratory teams is not provided in the source documentation.

Joseph W. Rachlinمشاهده پروفایل

استاد

• Fish Ecology
• Population Dynamics
• Niche Overlap
• +۶ مورد دیگر

Dr. Joseph W. Rachlin serves as Professor of Biological Sciences at Lehman College, City University of New York (CUNY), and holds a concurrent professorship in the Biology Ph.D. Program at the CUNY Graduate School and University Center. He directs Lehman College's Laboratory for Marine and Estuarine Research (LaMER) and serves on the Advisory Board for the National Institutes of Health's Minority Access to Research Careers Programs at Lehman College. Dr. Rachlin's educational background includes: B.S. in Biology, 1957, City College of New York M.S. in Biology, 1962, New York University Ph.D. in Biology, 1967, New York University His research spans Fish Ecology (population dynamics, niche overlap), Fish Systematics (phylogeny, cytogenetics), and broader Aquatic and Estuarine Ecology, with specialized focus on archaeological sub-fossils from Pakistan's Ghazi Shah site. LaMER employs cytogenetics for evolutionary studies, mathematical modeling for population dynamics, and computational approaches for resource partitioning analysis in aquatic environments. Analysis of Dr. Rachlin's publications (1977-2011) reveals persistent investigation of urban aquatic ecosystems (notably the Bronx River), marine species interactions, and cytogenetic relationships. His work integrates field ecology with computational methods, evolving from foundational sturgeon diet studies to contemporary analyses of invasive species and urban stream resilience. Scientific recognition includes: Fellow of The Linnean Society of London (with transcription of the historic 1858 Darwin/Wallace paper) Dr. Rachlin contributes to national research standards through the American Fisheries Society's Guidelines for the Use of Fishes in Research (2004) and mentors underrepresented scholars via NIH programs. His laboratory continues developing high-end computer graphics for virtual morphological modeling of aquatic organisms, advancing form-function analysis in comparative biology. LaMER (Rooms 231-A & 231-B, Davis Hall) maintains active research programs in phylogenetic relationships, life history strategies, and anthropogenic impacts on marine and estuarine species, supporting both undergraduate and graduate student research.

• Scientific Computing
• Numerical Analysis
• Numerical Methods for PDE
• +۴ مورد دیگر

Professor Talal Rahman is a faculty member at the Western Norway University of Applied Sciences, where he works in the Department of Computer Science, Electrical Engineering and Mathematical Sciences. His office is located at Bergen KRONSTAD D305, and he can be reached at phone number +47 55 58 72 46. Professor Rahman's research spans several key areas in computational mathematics and scientific computing. His primary research interests include: Scientific Computing Numerical Analysis Numerical Methods for Partial Differential Equations Preconditioning Finite Element with Domain Decomposition Methods Variational Image Processing Artificial Intelligence and Machine Learning applications Professor Rahman's extensive publication record demonstrates a strong focus on domain decomposition methods, particularly Schwarz methods and their applications to multiscale problems. His recent work shows an increasing integration of machine learning techniques with traditional numerical methods, as evidenced by publications on neural network applications for environmental modeling and capelin migration patterns. His research also extends to biomedical applications, including computational analysis of biodegradable materials and bone tissue engineering scaffolds. He has made significant contributions to the development of adaptive preconditioners and parallel algorithms for solving complex numerical problems, with his work on the TV-Stokes model for image processing representing an important contribution to the field of variational image processing. Professor Rahman has supervised numerous research projects and students, though specific student names are not provided in the available information. His research appears to be supported by grants related to computational science and engineering, though specific grant details are not mentioned in the provided text. Based on his research areas, Professor Rahman likely collaborates with various research groups focused on computational science, with potential connections to biomedical engineering labs and environmental research teams studying the Barents Sea ecosystem.

Jin W. Choiمشاهده پروفایل

استاد

• BioMEMS
• Biosensors
• Bioelectronic Devices
• +۵ مورد دیگر

Jin W. Choi is Professor of Electrical and Computer Engineering at Michigan Technological University's College of Engineering, having previously held the Mark and Carolyn Guidry Professorship at Louisiana State University where he served as ABET coordinator and graduate program advisor. Education: PhD, Electrical and Computer Engineering, University of Cincinnati MS, Electrical Engineering, Seoul National University BS, Electrical Engineering, Seoul National University His research centers on BioMEMS , Biosensors , Microfluidics , and Flexible Electronics for biomedical applications. Notable achievements include a 2020 US patent for a wireless implantable neural stimulator to improve quality of life in neurodegenerative disease patients and leadership of the BioMEMS and Bioelectronics Laboratory. Recent publications demonstrate expertise in PCB-based electrochemical sensors, portable fluorescence systems, and impedimetric probes with applications spanning cryobiology, environmental monitoring, and healthcare diagnostics. Scientific recognition includes: US Patent for wireless implantable neural stimulator (2020) Editor of Micro and Nano Engineering (Elsevier) Dr. Choi mentors graduate students in micro/nanofabrication and sensor development while teaching specialized courses including Chemical and Biological Sensors and BioMEMS, with research projects focused on biomedical IoT sensor systems and biomolecular devices.