جست‌وجوی استاد و پژوهشگر

Brian Quinnمشاهده پروفایل

استاد

• Corporate Law
• Mergers & Acquisitions
• Transactional Law
• +۷ مورد دیگر

Brian Quinn is a Professor and the David and Pamela Donohue Faculty Fellow at Boston College Law School, where he teaches Corporations, Mergers & Acquisitions, Venture Capital, and Contracts. He previously served as Associate Dean for Experiential Learning and has been recognized with teaching excellence awards, including the Professor Emil Slizewski Award and the Provost’s TWIN Award. He is actively engaged in legal scholarship, media commentary, and educational innovation. B.S.F.S., Georgetown University M.P.P., Harvard University Kennedy School of Government J.D., M.L.S., Stanford Law School Professor Quinn's research centers on corporate law, transactional design, mergers & acquisitions, and private ordering. His work emphasizes the economic and legal structures of corporate transactions and the role of legal education in preparing future lawyers. He has pioneered the use of blended learning and online modules in legal pedagogy, supported by ATAB grants. His recent publications and media commentary focus on high-stakes corporate governance issues, including executive compensation (e.g., Elon Musk's pay package), shareholder litigation, and jurisdictional competition between Delaware and Texas. His scholarship appears in leading journals such as the Journal of Corporation Law and Harvard Business Law Review Online , and he is co-author of two major casebooks in M&A and corporate law. Notable scientific awards and recognitions include: Professor Emil Slizewski Award for Faculty Excellence (2011) Provost’s TWIN Award for technology in teaching (2012) ATAB grants for online and blended learning development Quinn advises students through experiential programs like the Amicus Brief Clinic and Corporate Counsel Externship Seminar. He has received grant support for pedagogical innovation and curriculum development. His leadership extends internationally, having directed the Fulbright Economics Teaching Program in Vietnam and served on the founding board of Fulbright University Vietnam. He is affiliated with research and teaching initiatives focused on legal education reform, corporate governance, and international legal development. His work bridges academic scholarship, practical legal training, and public engagement through frequent media appearances in outlets like The New York Times , Bloomberg , and The Wall Street Journal .

Christian Gagnéمشاهده پروفایل

استاد

• Deep Learning
• Computer Vision
• Machine Learning
• +۷ مورد دیگر

Christian Gagné is a Full Professor in the Department of Electrical and Computer Engineering at Laval University and Director of the Institute for Intelligence and Data (IID). He holds a prestigious Canada CIFAR AI Chair and is an Associate Academic Member at Mila – Quebec Artificial Intelligence Institute. His research spans multiple interdisciplinary domains with significant contributions to machine learning and its applications. Dr. Gagné completed his doctorate in electrical engineering at Université Laval in 2005, followed by a postdoctoral fellowship at INRIA Saclay (France) and the University of Lausanne (Switzerland) from 2005-2006. Prior to his academic appointment, he worked as a research associate in an industrial environment between 2006 and 2008. His research interests focus on deep learning and stochastic optimization, with particular emphasis on the robustness and generalization of deep neural networks, neurosymbolic approaches to enhance interpretability, and the development of multimodal foundational models. His work has practical applications across computer vision, super-resolution microscopy, healthcare, transportation, and energy sectors. Dr. Gagné has developed important methodologies in representation learning, meta-learning, transfer learning, and optimization approaches based on probabilistic models and evolutionary algorithms. Recent publications demonstrate a strong focus on improving the robustness of machine learning models, with significant contributions to data augmentation techniques for medical imaging, adversarial attacks on visual object trackers, and test time adaptation methods. His research group has produced influential work at the intersection of theoretical machine learning and practical applications, particularly in medical imaging and computer vision domains. Canada CIFAR AI Chair As an academic advisor, Dr. Gagné has supervised numerous doctoral and master's students including Frédéric Beaupré, Catherine Bouchard, Fatemeh Nourilenjan Nokabadi, Sabyasachi Sahoo, and Adam Tupper. His research is supported through various grants, including his Canada CIFAR AI Chair position and collaborations with multiple research centers. Dr. Gagné is actively involved with several research entities including the Vision and Digital Systems Laboratory (LVSN), the Center for Research in Robotics, Vision and Machine Intelligence (CeRVIM), the Center for Research in Massive Data (CRDM), as well as strategic groups REPARTI and UNIQUE of the FRQNT, the VITAM center of the FRQS, and the International Observatory on the Societal Impacts of AI and Digital Technology (OBVIA).

• Public Law
• Administrative Law
• Public Contracts
• +۳ مورد دیگر

Vega María Arnaez Arce is an Associate Professor of Administrative Law at the School of Law, University of Deusto, where she teaches courses such as 'Administrative Intervention in Economic Activities' and 'Public Contracts' across Bilbao and San Sebastian campuses. Her academic focus lies in the intersection of Public Law, cooperative economics, and sustainable public service management. She has spearheaded research on citizen participation in public service governance and regulatory frameworks for public authorities' economic interventions. Her work emphasizes cooperative models as sustainable alternatives for public procurement and service delivery, aligning with UN Sustainable Development Goals. Recent publications in journals like Boletín de la Asociación Internacional de Derecho Cooperativo highlight trends in cooperative law, socially sustainable procurement, and regulatory innovation. She serves as Director of the SCOPUS-indexed Boletín de la Asociación Internacional de Derecho Cooperativo , contributing to editorial boards and research merit recognition. Her academic mentorship includes advising PhD candidates on public-cooperative collaboration and Basque local institutions. She actively participates in international congresses on cooperative law and social economy, with projects funded by entities like the Basque Government and Spanish Ministry of Science.

Dana Brakman Reiserمشاهده پروفایل

استاد

• Corporate Law
• Non-Profit Organizations
• Property Law
• +۳ مورد دیگر

Professor Dana Brakman Reiser is the Centennial Professor of Law at Brooklyn Law School, where she previously served as Vice Dean. Her expertise spans Corporate Law, Non-Profit Organizations, Property Law, and Social Enterprise. She teaches courses in Corporations, Nonprofit Law, Social Enterprise, Property, and Trusts and Estates. Her research focuses on the intersection of business and charity, particularly legal frameworks for social enterprises and philanthropic organizations. She holds a B.A. from the University of Pennsylvania and a J.D. from Harvard Law School. Her scholarship includes seminal works like For-Profit Philanthropy: Elite Power and the Threat of Limited Liability Companies (2023) and Social Enterprise Law: Trust, Public Benefit, and Capital Markets (2017). She is a member of the American Law Institute and has held leadership roles in the American Association of Law Schools' Nonprofit and Business Law sections. Her work addresses evolving governance challenges in philanthropy, ESG investing transparency, and hybrid organizational models. Recent articles analyze board dynamics in nonprofits, ESG index fund opacity, and disruptive philanthropy via LLCs. Her research consistently bridges legal structures with societal impact, emphasizing accountability and innovation in civil society.

Ella Gepken-Jagerمشاهده پروفایل

مدرس

• Business Law
• European Law
• Tax Law
• +۳ مورد دیگر

Mr. E.E.G. Ella Gepken-Jager is a Lecturer at the Faculty of Law, University of Groningen, specializing in Business Law, European Law, and Tax Law. She holds a PhD from the University of Groningen on the topic of 'Vertegenwoordiging bij NV en BV' (Legal Representation in NV and BV Companies), defended in 2000. Her work includes extensive commentary on Dutch Civil Law articles related to business entities, partnerships, and corporate governance. She was a partner at dfbadviesgroep from 2008 to 2019, bridging academic and practical expertise. Ella teaches courses on Business Law, Corporate Law, and European Company Law at both the bachelor’s and master’s levels. Her teaching focuses on legal research skills, corporate structures, and practical legal applications. She supervises student legal cases in the Business Law track and oversees theses in the Business Law section. Her research interests center on corporate governance, legal representation in business entities, and European company law. She contributes to the Jurisprudentie in Nederland journal, editing the Business Law section, and regularly publishes legal commentaries on Dutch and European corporate law. Notable publications include Vertegenwoordiging (2012) and updated legal commentaries on Dutch Civil Code articles. Ella is a member of the Examination Board of the Faculty of Law and actively participates in academic events such as the Magna Charta Roundtable on Corporate Governance. Her work emphasizes bridging legal theory and practice, with a focus on contemporary issues in business law and European regulatory frameworks.

Monique Reisمشاهده پروفایل

استاد

• Accounting
• Finance
• Controlling
• +۳ مورد دیگر

Monique Reis is a Professor of General Business Administration, specializing in Accounting, at Fulda University of Applied Sciences (Germany). She has headed the Master’s program in Accounting, Finance, and Controlling since 2014 and served on the board of the Faculty of Economy's Friends and Sponsors Association until 2016. Her expertise spans national and international accounting standards (HGB, IFRS, US-GAAP), corporate taxation, and tax law reforms. Doctorate in International Corporate Taxation (University of Würzburg) Teaching areas: HGB/IFRS Financial Statements, National/International Tax Law Former partner at Dr. Peemöller/Dr. Reis GbR (2000-2011) Co-founder of German Institute for Certification in Accounting e.V. (2005-2011) Her research focuses on corporate accounting harmonization, tax optimization strategies, and fiscal challenges in multinational operations. She has published extensively on IFRS conversion, VAT reforms, and business succession taxation. Reis has lectured at institutions like DATEV eG and IHK Würzburg on topics including consolidation practices, charitable organization taxation, and IFRS/US-GAAP comparisons. She also developed ZFU-certified distance learning courses in accounting and tax law.

• Structural Biology
• Molecular Biology
• Biochemistry
• +۲ مورد دیگر

Diego Bernal Bernal serves as a Postdoctoral Fellow at the Structural Biology of Disease Mechanisms Laboratory within the Biofisika Institute, a collaborative research entity between the Spanish National Research Council (CSIC) and the University of the Basque Country (EHU). The institute operates from the EHU Science Park in Leioa, Bizkaia, Spain, focusing on molecular-level disease analysis. His research centers on structural biology and disease pathogenesis, with specific emphasis on molecular interactions, protein conformational dynamics, biochemical pathways in pathology, biophysical characterization of macromolecules, and structural determinants of disease progression. This work integrates experimental and computational approaches to elucidate mechanisms underlying human disorders. As a core member of the Structural Biology of Disease Mechanisms Laboratory, he contributes to the institute's mission of advancing fundamental biomedical knowledge through high-resolution structural analysis and mechanistic studies of disease-related biomolecules.

• Business Litigation
• Wealth Disputes
• Fiduciary Law
• +۴ مورد دیگر

Shira Shapiro is an Adjunct Professor at Mitchell Hamline School of Law, specializing in business litigation and wealth dispute resolution. She represents a wide range of clients including individuals, families, fiduciaries, and corporate entities. Admitted to practice in Minnesota, Eighth Circuit, Sixth Circuit, Federal Circuit, and multiple district courts Teaches Commercial Law Survey, Contracts: Transactional Law, and International Business Transactions

• Uncertain Data Management
• MapReduce Algorithms
• Social Choice Theory
• +۵ مورد دیگر

Anish Das Sarma is a researcher affiliated with Google, USA , specializing in uncertain data management, MapReduce algorithms, and knowledge graph systems. He earned a PhD from Stanford University in 2010 under the supervision of Jennifer Widom and Alon Halevy, with a dissertation on "Managing Uncertain Data." His career spans collaborations with leading institutions, focusing on scalable data integration, social choice theory, and machine learning applications in scholarly knowledge organization. PhD in Computer Science, Stanford University (2010) Key collaborations: Stanford, Google Research, NFDI4DataScience His research interests intersect uncertain data modeling , MapReduce optimization , and large language model applications for scientific synthesis. Recent work includes FAIR data frameworks, ontology learning, and clinical entity linking. Article trends highlight his evolution from foundational database systems (2004-2015) to modern applications of LLMs in scholarly communication (2023-2024). Key areas: scalable algorithms, research data management, and ethical AI.

• Big Data
• Machine Learning
• Cybersecurity
• +۵ مورد دیگر

Dr. Danilo Giordano is an Associate Professor at the Department of Control and Computer Science (DAUIN) within Polytechnic University of Turin. He actively contributes to the SmartData@PoliTO Center, focusing on big data and data science applications. Research Interests: Big data, machine learning, cybersecurity, predictive maintenance, smart cities Scientific Awards: Best Student Paper Award ITC (2015), IETF Applied Research Prize coauthor (2017) His academic work spans machine learning for network security , big data analytics in industrial contexts , and smart city infrastructure optimization . Notably, his recent publications examine satellite network performance, darknet visibility enhancement, and language model applications in cybersecurity. As an editorial board member of COMPUTER NETWORKS (since 2024), he has also organized multiple conferences including the Data Challenge sessions at PHME conferences and served as publication chair for ACM CoNEXT workshops.

Nadeen Fathallahمشاهده پروفایل

پژوهشگر

• Web Accessibility
• Natural Language Processing
• Computer Vision
• +۳ مورد دیگر

Nadeen Fathallah is a researcher at the University of Stuttgart, affiliated with the Analytic Computing group at KI. Her work spans AI applications for accessibility, computer vision, and knowledge engineering. Research Focus: Web accessibility, ontology learning, and LLM-based solutions for Deaf/Hard of Hearing communities Projects: Key contributor to the IKILeUS project (Integrated AI in Teaching) at the University of Stuttgart Teaching: Has served as teaching assistant and assistant lecturer at German International University, German University in Cairo, and The Knowledge Hub Her research explores: Automated detection/correction of web accessibility violations (e.g., AccessGuru platform) Improving video captions using large language models Accessibility tools for tabular data (EchoTables) Ontology learning pipelines (NeOn-GPT, LLMs4Life) Recent work shows a focus on combining LLMs with domain-specific challenges across multiple fields, particularly emphasizing inclusive design principles. Contact details: Office at Universitätsstraße 32, Stuttgart, Germany (Room: 2.312b). Available via +49 711 685 88130.

Slavko Žitnikمشاهده پروفایل

دانشیار

• information retrieval
• information extraction
• natural language processing
• +۷ مورد دیگر

Slavko Žitnik is an Associate Professor and Vice-dean at the Faculty of Computer and Information Science, University of Ljubljana, where he is a member of the Laboratory for Data Technologies. His academic career spans multiple research projects and international collaborations focusing on data technologies and natural language processing. His primary research interests include information retrieval, information extraction, natural language processing, entity extraction, relationship extraction, coreference resolution, data merging, redundancy elimination, and ontologies. Dr. Žitnik's work often bridges theoretical computer science with practical applications in various domains including education, healthcare, and smart city ecosystems. Dr. Žitnik has led and participated in numerous significant research projects including P2-0359 on Ubiquitous Computing (2023-2027), PoVeJMo on Adaptive Natural Language Processing with Large Language Models (2023-2026), and the GOBLIN COST Action for building global networks of large-scale knowledge graphs. His recent work demonstrates a strong focus on adapting natural language processing techniques with large language models and creating practical applications of these technologies. His scientific contributions span multiple domains including: Natural Language Processing and Information Extraction techniques Knowledge graph construction and integration Applications in education, healthcare, and smart city ecosystems Development of practical tools and systems for data processing Dr. Žitnik has established international collaborations with institutions including Harvard University's Department of Biomedical Informatics (where he conducted a research visit from July to October 2022), the University of South Florida, and various European partners through COST Actions and other collaborative frameworks.

Samira Si-Said Cherfiمشاهده پروفایل

استاد

• Data Quality
• Conceptual Modeling
• Ontology Engineering
• +۵ مورد دیگر

Samira Si-Said Cherfi is a Professor at the Centre d'études et de recherche en informatique et communications (CEDRIC) within the Conservatoire National des Arts et Métiers (CNAM) in Paris. With a research career spanning over 25 years, she has established herself as a leading expert in data quality, conceptual modeling, and ontology engineering. Her work bridges theoretical computer science with practical applications in healthcare systems, business process management, and knowledge representation. Her research interests focus on data quality assessment , conceptual modeling methodologies , ontology engineering for complex systems , and cyber-physical security in healthcare infrastructures . She has pioneered approaches for evaluating RDF data completeness, developing quality metrics for conceptual schemas, and creating ontologies for healthcare security. Her work demonstrates how formal modeling techniques can solve real-world problems in information systems. Analysis of her recent publications reveals a strong trend toward cyber-physical security and healthcare information systems , where she applies semantic technologies to address cascading effects in critical infrastructures. Her work consistently connects theoretical foundations in conceptual modeling with practical applications in knowledge graphs and data integration. She has made significant contributions to understanding how OWL semantics can be effectively utilized in RDF-based knowledge graphs. As an active member of the academic community, she has served as guest editor for special journal issues and contributed to major international conferences including RCIS, CAiSE, and EDOC. Her leadership in the field is evident through her editorial roles and collaborative research projects. Professor Si-Said Cherfi leads research within the CEDRIC laboratory, specifically contributing to the 'Complex data, machine learning and representations' and 'Data mining and statistics' research teams. Her work often involves interdisciplinary collaboration with healthcare professionals, security experts, and industry partners to address complex challenges in information systems security and data quality.

Ovidiu Șerbanمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• Natural Language Processing
• Interactive Systems
• +۶ مورد دیگر

Ovidiu Șerban is a Research Fellow at the Data Science Institute, Imperial College London, leading the Data Observatory group. His work focuses on real-time Natural Language Processing, Data Curation, and Large Scale Visualization Systems. PhD in Computer Science (2013) - Joint from INSA de Rouen Normandy and Babeș-Bolyai University MSc in Artificial Intelligence (2009) - Babeș-Bolyai University BSc in Computer Science (2008) - Babeș-Bolyai University Research interests span Artifical Intelligence, Natural Language Processing, Interactive Systems, Affective Computing, and Deep Learning. Recent publications emphasize knowledge graph completion, temporal graph analysis, and multimodal data processing frameworks. Contributed to development of OVE (Open Visualization Environment) for scalable data rendering Created TKGQA dataset for temporal knowledge graph validation Advanced conflict-aware multilingual knowledge graph techniques Projects include SENTINEL for real-time event detection, Watchme for workplace analytics, Intuitel for e-learning enhancement, and Agentslang for distributed interactive systems. Affiliations include Imperial College London, University of Cambridge, and University of Reading.

Srikanth Madikeriمشاهده پروفایل

مدرس

• Automatic Speech Recognition
• Speaker Recognition
• Language Recognition
• +۳ مورد دیگر

Dr. Srikanth Madikeri is a Lecturer and Senior Researcher at the University of Zurich's Department of Computational Linguistics. He holds a Ph.D. in Computer Science from IIT Madras (2013) and a Bachelor of Engineering from Anna University (2008). Before joining UZH, he spent 11 years at Idiap Research Institute as a Postdoctoral Researcher and Research Associate. His research focuses on low-resource speech technologies, including Automatic Speech Recognition (ASR), Speaker Diarization, Language Recognition, and Spoken Dialog Systems. He specializes in adapting models for challenging domains like air traffic control and criminal investigations. Recent publications demonstrate strong trends in multimodal systems, domain adaptation for ASR, and efficient data selection techniques. His work frequently integrates speech processing with NLP tasks and criminal network analysis. Awards: Best Paper Award in Signal Processing Track (NCC 2011) International Create Challenge 2017 Winner He teaches Speech Technology and Machine Learning for Computational Linguistics at UZH. Professional activities include serving as Area Chair for Interspeech (2021-2022) and developing open-source toolkits like pkwrap for LF-MMI training.