جست‌وجوی استاد و پژوهشگر

Christopher Rheaمشاهده پروفایل

استاد

• Neuromotor Control
• Virtual Reality in Rehabilitation
• Biomechanics
• +۴ مورد دیگر

Christopher Rhea serves as the Associate Dean for Research & Innovation at the Ellmer College of Health Sciences , Old Dominion University (ODU), while maintaining an active research program as a Professor in the School of Rehabilitation Sciences . Prior to joining ODU in 2022, he was a faculty member at the University of North Carolina at Greensboro from 2011–2022, ascending from Assistant to Full Professor. His work integrates advanced technologies like virtual reality (VR) and smartphone apps to address health challenges including concussion recovery, fall prevention in older adults, and military rehabilitation. Ph.D., Kinesiology (Biomechanics), Purdue University (2009) M.S., Movement Science, Barry University (2004) B.S., Physical Education, University of Central Missouri (2002) Research Interests Dr. Rhea’s research bridges neuromotor control and advanced technology to enhance human health. His funded projects explore: VR-based fall risk assessment for older adults mTBI screening using smartphone apps Blast exposure effects on service members Gender-specific neuroimaging studies Childhood movement quality interventions Publication Trends His recent articles emphasize VR applications in rehabilitation, smartphone diagnostics for concussions, and dynamical systems theory to analyze brain-body interactions. Subfields include postural control development , movement asymmetries in neurological populations, and sensorimotor adaptations in chronic injury scenarios. Grants His work has been supported by federal agencies ( DoD, NIH, US Navy, HRSA ) and private entities like the Women’s Football Foundation. Notable projects include a $958,937 DoD grant for longitudinal neuromotor control studies and a $1,246,118 NIH grant for balance research.

Madhavi Krishnanمشاهده پروفایل

استاد

• Physical Chemistry
• Molecular Electrostatics
• Nanoscale Fluid Dynamics
• +۳ مورد دیگر

Madhavi Krishnan serves as Professor of Physical Chemistry at the University of Oxford, affiliated with Merton College. Her Krishnan Lab pioneers experimental and theoretical approaches to nanoscale molecular interactions in fluids, with breakthrough work on the electrostatic fluidic trap enabling three-dimensional single-molecule confinement in solution. Her educational trajectory includes undergraduate studies at Anna University (India), a PhD from the University of Michigan, and postdoctoral research at Technical University Dresden (Alexander von Humboldt Fellow) and ETH Zurich (Marie Curie Fellow). Prior academic appointments include Assistant Professor at the University of Zurich with Swiss National Science Foundation support. Professor Krishnan's research centers on molecular electrostatics in fluid environments, particularly how interfacial solvent modulates forces between charged entities. Her group combines experiment, theory, and simulation to investigate nanoscale transport phenomena, with recent work demonstrating how water behavior at interfaces can reverse expected repulsive forces between like-charged particles. This paradigm-shifting approach overcomes century-old limitations in molecular manipulation. Analysis of her 2022-2025 publications reveals dominant themes in single-molecule electrometry, electrosolvation forces, and biomolecular condensation. These works bridge fundamental physical chemistry with applications in nucleic acid analysis, colloidal assembly, and nanoscale sensing, consistently emphasizing the interplay between molecular conformation and electrostatic signatures in solution. Her major recognitions include: 2016 Nernst-Haber-Bodenstein Prize (German Bunsen Society) 2020 Corday Morgan Prize (Royal Society of Chemistry) Supported by prestigious early-career fellowships, her current research leverages Oxford's infrastructure for advanced nanofluidic experiments. She advises graduate students and postdocs in the Krishnan Lab, which maintains active collaborations across biophysics and nanotechnology disciplines. The Krishnan Lab operates as an interdisciplinary hub where physical chemists, physicists, and biologists develop next-generation tools for molecular measurement in solution, with recent focus on chip-based spectrometry and biomolecular phase separation.

• Machine Learning
• Cloud Computing
• Fault Diagnosis
• +۳ مورد دیگر

Chao Yin is a researcher at Shanghai University , Department of Computer Engineering and Science. His work spans multiple domains including Machine Learning, Cloud Computing, Fault Diagnosis, and Supply Chain Optimization. Key research areas: Machine Learning , Cloud Computing , Quantum Computing , Supply Chain Systems , Network Security Scientific Contributions (2024-2025): Developed heterogeneous graph neural networks for automotive supply chain analysis Created MSDF-VAE cloud-edge fault diagnosis framework using transfer learning Proposed quantum metrology methods with Heisenberg-limited precision Designed LARP pseudonym protocol for V2X communication Optimized fog computing resource scheduling with hybrid metaheuristics Prior Work (2012-2023): Contributed to fluid animation feature preservation from single images Developed label distribution learning for facial age estimation Designed erasure coding storage systems for big data Created multi-agent manufacturing networks in cloud environments

• Accounting
• Financial Reporting
• Cost Accounting
• +۲ مورد دیگر

Gerhard Mattner serves as a Lecturer at the Chair of Accounting & Controlling within the Department of Business Administration, Faculty of Business and Economics at the University of Augsburg. He has been a core contributor to the seminal German textbook "Einführung in das Rechnungswesen" since its inception in 2000, focusing on financial accounting principles, bookkeeping systems, and financial reporting standards under both German GAAP (HGB) and International Financial Reporting Standards (IFRS). His academic background includes a Diplom-Kaufmann (Dipl.-Kfm.) degree, equivalent to a Master's in Business Administration. Research interests center on accounting methodologies, cost control systems, value-based management frameworks, and segment profitability analysis, with practical applications in corporate financial reporting and strategic decision-making. Publication analysis reveals consistent evolution from foundational accounting principles toward integrated international standards and consolidated reporting. His work demonstrates increasing emphasis on value-oriented corporate management and segment-level financial analysis, particularly evident in the 2012 edition addressing consolidated financial statements and the Siemens case study from 2000. No scientific awards were documented in the source material. Student advising activities and research grant information were not specified in the available documentation, though his role includes teaching Financial Accounting I and contributing to academic curriculum development. As an integral member of Prof. Dr. Wolfgang Schultze's Chair of Accounting & Controlling, Mattner participates in a collaborative academic team that maintains this foundational accounting resource through regular textbook revisions involving multiple contributors across editions.

Saptarshi Bejمشاهده پروفایل

استادیار

• Clinical Data Science
• Biomedical Data Science
• Machine Learning
• +۷ مورد دیگر

Dr. Saptarshi Bej is an Assistant Professor in Data Science at the Indian Institute of Science Education and Research Thiruvananthapuram (IISER-TVM), India. With a PhD in Machine Learning from the University of Rostock, Germany, and a Master’s in Mathematics specializing in graph theory from IISER-Kolkata, his research bridges computational methods with biomedical applications. He leads the iDEALab.ai research group. Clinical and Biomedical Data Science Machine Learning for Healthcare Synthetic Data Generation Multi-Modal Data Integration Data Privacy in Clinical Settings Graph Theory Applications His work focuses on overcoming challenges in clinical datasets including imbalanced data and data scarcity through novel algorithms like LoRAS and ConvGeN . Recent publications highlight applications in gastrointestinal disease diagnosis , peptide analysis , and cross-disease genetic studies . Current projects emphasize collaborative approaches to data-driven medicine, aiming to empower clinicians with interpretable machine learning tools. He actively welcomes research inquiries from students interested in data science and biomedical informatics.

Jean-Yves Antoineمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Human-Computer Interaction
• +۵ مورد دیگر

Jean-Yves Antoine is a Professor in Computer Science at the University of Tours, where he serves as Head of International Relations for the Department of Computer Science and Director of Studies for L3 (3rd year of Bachelor's degree). He is affiliated with the Blois Computer Science Department and the Tours Fundamental and Applied Computer Science Laboratory (LIFAT), as well as the Polytechnic School of the University of Tours (EPU). He also serves as Deputy Director of the Centre Val de Loire IT Federation (ICVL) and is an associate member of the LIFO laboratory. His research focuses primarily on Natural Language Processing, with emphasis on computational linguistics, man-machine dialogue, and technical aids for disability. He has reoriented his work towards better understanding language systems and ethical impacts of NLP, with applications specifically targeting disability assistance. His key research areas include communication assistance for people with disabilities (ANR AAC4All project), linguistic diversity and NLP, TAL and rare phenomena, and ethics for TAL. He has supervised numerous PhD students working on topics related to accessibility, multiword expressions, and language processing. His recent publications reveal strong trends in accessibility technologies for people with disabilities, particularly focusing on text input systems, word prediction, and communication aids. There's also significant work on multiword expressions across languages, entity linking, and ethical considerations in NLP systems. His research bridges theoretical computational linguistics with practical applications for social benefit. As an educator, he teaches application design considering societal issues linked to digital technology, covering logic for computing, ergonomics of interactive applications, information visualization, Natural Language Processing, digital ethics, and ecological and social digital transition. He currently supervises PhD students working on text input systems for people with disabilities, linguistic diversity in NLP, multiword expressions, and ethical considerations in language technologies. His research has been supported by projects like ANR AAC4All, which focuses on communication assistance for people with disabilities. Professor Antoine is also actively involved in laboratory and institutional activities, serving as Disability Correspondent of the IT Department and contributing to the development of free platforms for linguistic annotation like Contemplata and ODIL Syntax for spontaneous spoken French.

Elspeth Berryمشاهده پروفایل

دانشیار

• Partnership Law
• LLP Law
• Human Rights Law
• +۱ مورد دیگر

Elspeth Berry serves as an Associate Professor at Nottingham Law School, Nottingham Trent University, and is affiliated with the Centre for Business and Insolvency Law. A qualified solicitor with prior practice in commercial law, she established the Partnership, LLP and LLC Law Academic Forum to foster global academic-practitioner collaboration in business entity law. Her research spans partnership law, LLP law, human rights law, and EU law, with particular emphasis on the legal status of partners/LLP members in employment contexts, legislative reforms affecting private equity structures, and human rights interactions with business entities. She has authored the definitive textbook "Partnership and LLP Law" (2nd edn, 2018) and numerous high-impact journal articles addressing regulatory capture in limited partnership law and insolvency frameworks. Analysis of her 15 most recent publications reveals consistent focus on the evolution of partnership structures under regulatory pressure, especially regarding private fund limited partnerships and employment classification issues. Her work bridges theoretical legal analysis with practical implications for practitioners, demonstrating increasing interdisciplinary connections between corporate law, human rights, and EU regulatory frameworks. Berry leads the internationally recognized Partnership, LLP and LLC Law Academic Forum, which hosts biennial conferences and maintains a dedicated research website. She actively contributes legal updates for the Association of Partnership Practitioners, serves as constituency representative for the Society of Legal Scholars, and provides expert testimony to parliamentary committees on regulatory reforms.

Eoghan O´Connellمشاهده پروفایل

پژوهشگر

• Data Science
• Data Analysis
• Python development
• +۵ مورد دیگر

Eoghan O'Connell serves as a Data Scientist/Postdoctoral Researcher within the Optomechanics group at the Max Planck Institute for the Science of Light (MPL) in Erlangen, Germany. His work bridges advanced data science techniques with experimental physics, focusing on developing novel data pipelines and biological devices. His research expertise spans Data Science, Machine Learning, and Physics , with particular focus on electron microscopy data analysis, cell mechanics, and RT-DC applications. O'Connell specializes in creating open-source tools for quantifying and visualizing complex physics phenomena at atomic scales, particularly in 2D materials research. His publication record demonstrates a consistent focus on advancing methodologies in electron microscopy data analysis and materials characterization. The trend across his work shows increasing integration of machine learning techniques with traditional physics analysis, particularly in the characterization of 2D materials and domain structures in ferroelectrics. O'Connell's academic journey includes a PhD in Physics from the University of Limerick, Ireland, with dissertation titled "Automated Atomic Resolution Open-Source Analysis of Two-Dimensional Entities." Prior to his current position, he completed an internship at Phillips Healthcare in Eindhoven and served as a Postdoctoral Researcher at the University of Limerick focusing on atomic resolution EM image analysis.

Lane Bakerمشاهده پروفایل

استاد

• Analytical Chemistry
• Electrochemistry
• Nanotechnology
• +۴ مورد دیگر

Dr. Lane Baker is a Professor and Department Head in the Department of Chemistry at Texas A&M University, holding the Carl D. McAfee '90 Endowed Chair in Analytical Chemistry. His research focuses on electrochemical measurement and instrumentation at nanoscale interfaces, including Scanning Ion Conductance Microscopy (SICM), single-entity electrochemistry, and bioelectrochemistry. He leads a dynamic research group (bakergrp) developing tools for high-throughput analysis and electrochemical imaging. Research Interests: Electrochemical imaging, nanoelectrochemistry, ion transport at biological interfaces, catalytic nanoparticles, and applications of machine learning in data interpretation. Key techniques include SICM, SECCM, and electrospray ionization. Recent articles highlight advancements in single-entity electrocatalysis, high-throughput electrochemical systems, and biomedical applications like 3D blood-brain barrier models. Collaborations span nanomaterial synthesis, electrochemical energy storage, and bioanalytical instrumentation. Scientific Awards: AAAS Fellow (2023), SEAC Reilley Award (2023), NSF CCI Center Grant (2023) Advising: 30+ PhD graduates, current advisees include Cody Leasor, Yunong Wang, Kristen Alanis, and Sasha Alden Labs/Teams: Baker Research Group, affiliated with Texas A&M's NSF Center for Single-Entity Nanochemistry

Steven J. Elmerمشاهده پروفایل

استاد مدعو

• Exercise Physiology
• Musculoskeletal Function
• Biomechanics
• +۳ مورد دیگر

Dr. Steven J. Elmer is an Affiliated Professor in the Department of Kinesiology and Integrative Physiology at Michigan Technological University, with additional affiliations in Biological Sciences and Mechanical and Aerospace Engineering. He holds a PhD, MS, and BS in Exercise Science and related fields from the University of Utah. His research focuses on restoring musculoskeletal function, improving performance in clinical populations, and advancing exercise interventions. Key research areas include skeletal muscle mechanics, locomotor coordination, and applied physiology in injury rehabilitation and sports. Education: PhD in Exercise Science, University of Utah MS in Exercise Science, University of Utah BS in Exercise and Sport Science, University of Utah Research Interests: Mechanics of skeletal muscle contraction Coordination of locomotor tasks Exercise interventions for physical conditioning and mobility Cycling biomechanics Physiology education methodologies His work bridges basic science and applied human performance, addressing topics like rehabilitation protocols, ergonomics, and sport optimization. Recent articles highlight explorations into blood flow restriction therapy, single-leg cycling mechanics, and pandemic-era academic leadership. Funded by entities like the Michigan Health Endowment Fund and National Science Foundation, his research emphasizes real-world applications in healthcare and athletic performance. Teaching Experience includes advanced exercise physiology, biomechanics, and physiology laboratory courses, with a focus on blended learning strategies.

• Electrochemistry
• Nano-electrochemistry
• Single Entity Electrochemistry
• +۱۲ مورد دیگر

Dr. Chris Batchelor-Mcauley is an Assistant Professor in the Department of Chemistry at Trinity College Dublin. He leads an active research group focused on electrochemistry, particularly in the areas of nano-electrochemistry, single entity detection, and environmental electrochemical sensing. His work bridges fundamental electrochemical theory with applications in marine biogeochemistry, sensor development, and nanoparticle analysis. His research interests include: Single nanoparticle and single cell electrochemistry Fluoro-electrochemical microscopy for marine phytoplankton analysis CO 2 sequestration and calcite dissolution kinetics Development of novel electrochemical sensors for environmental and biomedical applications Nanoparticle impacts and electrocatalysis Electrochemical analysis in complex media such as seawater and biological fluids His recent publications demonstrate a strong trend toward interdisciplinary research combining electrochemistry with marine science. Key themes include the electrochemical behavior of calcifying phytoplankton (coccolithophores), development of field-deployable ocean sensors, and understanding redox processes in natural systems. His group frequently employs advanced techniques such as single-entity electrochemistry, voltammetry, and fluorescence-electrochemical microscopy. Dr. Batchelor-Mcauley is affiliated with the Royal Society of Chemistry and the International Society of Electrochemistry. He maintains an active research program with numerous peer-reviewed publications in high-impact journals such as Chemical Science , Angewandte Chemie , ACS Sensors , and Environmental Science & Technology . He advises research students and collaborates extensively with scientists at the University of Oxford (particularly with Prof. Richard G. Compton) and other international institutions. His group website is mcauleygroup.net.

• Artificial Intelligence
• Graph Neural Networks
• Biomedical Informatics
• +۷ مورد دیگر

Dr. Siwei Liu is an Assistant Professor at the School of Natural and Computing Sciences, University of Aberdeen, UK. He previously held a postdoctoral position at MBZUAI and completed his PhD with the Terrier team under the supervision of Prof. Iadh Ounis and Prof. Craig Macdonald. He is actively involved in research, teaching, and PhD supervision. His research focuses on advancing artificial intelligence methods, particularly in graph neural networks, large language models, and recommender systems, with applications in bioinformatics, biomedical image analysis, and multi-modal single-cell data. He is a co-founder and main contributor to the open-source Beta-Recsys project, promoting reproducibility and evaluation in recommendation systems. Dr. Liu's recent publications (2020–2025) reflect a strong trajectory in deep learning for biomedical applications and intelligent systems. Key themes include GNNs for gene-disease and RNA-disease association prediction, cold-start recommendation using heterogeneous graphs, pre-training strategies, and hybrid Transformer-Mamba architectures for radiology report generation. His work appears in top-tier venues such as IEEE TPAMI, ACM Transactions, and Briefings in Bioinformatics. He teaches courses in Data Mining and Visualisation and Natural Language Processing, contributing to the education of future AI practitioners. While no specific awards or student names are listed, his active research and leadership in open-source initiatives highlight his growing impact in the AI and biomedical informatics communities.

• Power Systems
• Energy Storage Systems
• Frequency Control
• +۷ مورد دیگر

Álvaro Ortega Manjavacas is an Assistant Professor at the Institute for Research in Technology (IIT), part of the School of Engineering at Comillas Pontifical University, Madrid, Spain. He has been a senior power systems researcher at IIT since September 2020, following prior research roles at LOYOLATech (Loyola Andalucía University) and University College Dublin. His academic background includes a PhD in Electrical Engineering from University College Dublin (2017) and a Bachelor's in Industrial Engineering from the University of Castilla-La Mancha (2013). His research focuses on the modeling, control, and stability of energy storage systems connected to transmission and distribution networks, frequency estimation and control in low-inertia power systems, and the design of advanced monitoring and control systems for flexible energy grids. His work bridges theoretical modeling with practical applications in renewable integration and grid resilience. The recent publications of Dr. Ortega span high-impact journals such as IEEE Transactions on Power Systems, Energy, and Sustainable Energy, Grids and Networks. These works predominantly center on virtual power plants (VPPs), robust optimization under uncertainty, frequency stability, and energy storage integration. Key themes include optimal bidding strategies in electricity markets, real-time operation of renewable-based VPPs, and coordinated control of energy storage with load shedding schemes. His research demonstrates a strong trend toward enhancing power system flexibility and stability in the context of increasing renewable penetration. 10th annual ISGAN Runner-up Award of Excellence Dr. Ortega advises PhD students including H. Nemati and O. Oladimeji, whose theses focus on the optimal operation of renewable virtual power plants. He has secured and contributed to significant research grants, including the Horizon 2020 POSYTYF project and the national PID2021-125628OB-C21 project on counteracting synchronous inertia reduction. He also participates in industry-funded projects with entities like Red Eléctrica de España and I-DE Redes Eléctricas Inteligentes. He is actively involved in the power systems research community, serving in IEEE and IEEE PES, and has organized scientific events such as the ICREPQ'23 conference. His work includes contributions to books and technical reports, further establishing his expertise in frequency control and energy storage modeling.

James McKeownمشاهده پروفایل

استاد مدعو

• Antitrust Law
• Sports Law
• Distribution Disputes
• +۳ مورد دیگر

James McKeown is an Adjunct Professor at Marquette University Law School and a partner at Foley & Lardner LLP, specializing in Antitrust Law and Sports Law. With extensive experience in litigation, he has represented clients in high-profile cases involving antitrust disputes, distribution conflicts, and sports-related legal issues. University of Minnesota Law School (JD, magna cum laude, Order of the Coif) St. John's University (BA in Economics, magna cum laude) Hubert H. Humphrey Institute (MA in Economics) Mr. McKeown's research and practice focus on the intersection of Antitrust Law, Sports Law, and Economic Analysis. His work addresses competitive balance in sports leagues, antitrust compliance in mergers and acquisitions, and challenges in patent royalty terms. He has contributed to legal education through teaching and trial practice instruction. His publications span antitrust litigation, sports law, and economic analysis, with recurring themes in competitive market regulation, legal strategy, and expert testimony management. Articles like "The Economics of Competitive Balance" and "Antitrust Limits on Pre-Closing Conduct" highlight his expertise in applying legal frameworks to complex economic scenarios. Included in The Best Lawyers in America (Antitrust and Sports Law) 2013 Milwaukee Antitrust Lawyer of the Year Recognized in Legal 500 and Wisconsin Super Lawyers As an educator, Mr. McKeown has taught Antitrust Law and Sports Law at Marquette University Law School and served as a trial practice instructor for antitrust programs. His professional contributions include co-authoring the Product Distribution Law Guide and participating in ABA Antitrust Section leadership roles.

• Natural Language Processing
• Corpus Linguistics
• Augmentative and Alternative Communication
• +۵ مورد دیگر

Anaïs LEFEUVRE-HALFTERMEYER is a Senior Lecturer at the University of Orleans, where she is affiliated with the LIFO (Laboratoire d'Informatique Fondamentale d'Orléans) research laboratory. She serves as a member of the DIAMS steering committee and is an associate member of both LIFAT and LLL research groups. Her academic profile reflects strong engagement with both teaching responsibilities and research activities in computer science with a human-centered focus. Dr. LEFEUVRE-HALFTERMEYER's research spans multiple interconnected domains within computational linguistics and human-computer interaction. Her primary interests include Natural Language Processing , Corpus Linguistics , and Augmentative and Alternative Communication systems. She has developed significant expertise in Explainable Artificial Intelligence approaches, particularly for image captioning systems, and has conducted substantial work on social media analysis, temporal annotation, and accessibility technologies. Her research consistently demonstrates a commitment to practical applications that address real-world communication challenges, especially in rehabilitation contexts. Analysis of her publication record reveals a clear trajectory from foundational corpus linguistics work toward increasingly applied research with strong human impact. Early publications focused on French spoken language treebanks and syntactic annotation tools, while more recent work addresses accessibility technologies, ethical considerations in AI, and explainability in vision-language models. There's a notable emphasis on bridging theoretical linguistic concepts with practical implementation, particularly for assistive technologies that serve people with communication disabilities. Dr. LEFEUVRE-HALFTERMEYER actively contributes to the academic community through mentorship and organizational roles. She has served as a mentor for student projects, including work on French language model comparison, and previously organized the JOLICO (JOurnées jeunes chercheurs de la LInguistique de COrpus) conference in 2015 as part of the scientific committee. Her institutional involvement includes membership on the DIAMS steering committee, demonstrating leadership within her research community.