جست‌وجوی استاد و پژوهشگر

Mark A Iwenمشاهده پروفایل

دانشیار

• Computational Harmonic Analysis
• Mathematical Data Science
• Signal Processing
• +۴ مورد دیگر

Mark A Iwen is an Associate Professor at Michigan State University, holding dual appointments in the Department of Mathematics and the Department of Computational Mathematics, Science and Engineering (CMSE) . His research focuses on computational harmonic analysis, mathematical data science, signal processing, and algorithms for analyzing high-dimensional datasets. He has contributed to advancements in sparse Fourier transforms, compressive sensing, and sublinear-time algorithms for large-scale data. Key research themes include: Efficient algorithms for high-dimensional PDEs and spectral methods Phase retrieval and inverse problems in imaging Optimization of tensor decompositions and dimensionality reduction techniques Development of sparse approximation methods with theoretical guarantees His recent work emphasizes applications in: Sublinear-time algorithms for function approximation Terminal embeddings for manifold data Fast JL embeddings with bi-Lipschitz properties Tensor completion and low-rank approximations Notable contributions include: Development of Sparse Harmonic Transforms for functions of many variables Advancements in distributed SVD algorithms for large networks Empirical and theoretical analysis of phase retrieval techniques Efficient sparse FFT implementations (e.g., DMSFT, GFFT) Iwen collaborates on open-source code projects, including sparse FFT libraries and phase retrieval tools. His work bridges mathematical theory with practical applications in engineering and computational science.

• Artificial Intelligence
• Advanced Analytics
• Operations Research
• +۵ مورد دیگر

Dr. Su Nguyen is a Senior Lecturer in AI and Analytics at RMIT University's Department of Accounting, Information Systems & Supply Chain, located at the City Campus in Australia. His research focuses on integrating artificial intelligence, analytics, and operations research to address challenges in sustainability, safety, and critical domains like healthcare and logistics. Key areas include transparent AI systems, simulation models for dynamic environments, and optimization algorithms for energy and transportation. His work emphasizes making AI systems accountable to mitigate risks such as discrimination and ensures fairness in autonomous decision-making. Collaborations span Australia, New Zealand, and the Asia Pacific region, promoting AI applications in industry. Supervised projects include topics like personalized care plans, workforce rostering optimization, and AI-driven solutions for supply chains and cyber-risk evaluation. Dr. Nguyen's research bridges theoretical advancements with practical industry engagement, aiming to enhance decision-making through advanced analytics and business optimization frameworks.

• Cloud Computing
• Networked Systems
• Cybersecurity
• +۷ مورد دیگر

Dr. Qiang Fu is a Senior Lecturer at RMIT University's School of Computing Technologies, specializing in Cloud, Networked Systems, and Security. He holds a PhD from The University of Queensland and is actively involved in industry collaborations. His research focuses on Internet and Cloud-based systems, including Content Delivery Networks (CDNs), data centre design, Cyber-Physical Systems (CPS)/IoT, virtualization, and SDN/NFV. Recent work emphasizes network telemetry, fault detection, and IoT workflow optimization. He has published extensively in top-tier journals and conferences like IEEE Transactions and IFIP NOMS. Dr. Fu supervises PhD/Master students in areas such as network security, cloud computing, and IoT. His projects are often industry-funded and address real-world challenges like network scalability and blockchain integration. He is open to supervising students in these domains through RMIT's scholarship programs.

Beatrice D'Ippolitoمشاهده پروفایل

استاد

• Strategic Management
• Innovation Management
• Inter-firm Collaborations
• +۴ مورد دیگر

Professor Beatrice D'Ippolito holds the Chair in Strategic Management and Innovation at the University of York's York Management School, within the School for Business and Society. Her research bridges micro-level firm dynamics and meso-level industry evolution, focusing on knowledge creation, inter-firm collaborations, and digital transformation. She has conducted qualitative and archival studies across sectors including design-intensive industries, energy technologies, and research infrastructures in Europe. Education: PhD in Economics and Management of Innovation, University of Manchester (ESRC Fellowship) MRes, University of Manchester (ESRC Fellowship) MSc, Università Cattolica del Sacro Cuore, Italy BBA, University of Lancaster, UK Research Interests: Firm and industry-level knowledge systematisation Design as a strategic and innovative process Impact of digital technologies on creative industries Inter-firm collaboration and innovation ecosystems Her work explores how organizations leverage digital tools and design-driven approaches to innovate, with recent trends addressing climate adaptation strategies and the 'dark side' of business model innovation. She contributes to editorial boards of Research Policy and Journal of Management Studies . Grants and Projects: Principal Investigator for ESRC-funded project on skill mismatch at the BBC (2024-2026) Co-investigator for study on digital platforms in film distribution (2016-2017) Professor D'Ippolito advises PhD candidates in design and innovation management, emphasizing digital technologies' organizational impacts. She leads the 'Risk, Innovation, and the Economy' research theme and engages in global collaborations, including at the French GIANT campus and Tenerrdis cluster.

Djamila Ouelhadjمشاهده پروفایل

استاد

• Operational Research
• Mathematical Optimisation
• Meta-heuristics and Hyper-heuristics
• +۶ مورد دیگر

Professor Djamila Ouelhadj of the University of Portsmouth is a leading academic in Operational Research, affiliated with the School of Mathematics and Physics and Centre for Operational Research and Logistics . She serves as Course Leader for MSc Logistics and Supply Chain Management and contributes to EU-funded projects like SEABILLA and LEANWIND . Her work spans mathematical optimization, meta-heuristics, and decision support systems applied to logistics, transportation, healthcare, and renewable energy. Research Themes : Operational Research, Logistics Analytics, AI for Decision Making, Sustainable Transportation Her recent publications focus on Mobility-as-a-Service (MaaS) systems, drone scheduling for wind farm inspection, and multi-criteria frameworks for inclusive transport. Articles highlight integration of machine learning , stochastic modeling , and robotics in solving real-world optimization problems. She employs multi-objective methods , simheuristics , and clustering techniques to address challenges in renewable energy, urban mobility, and security. Scientific Contributions include: Co-investigator on EU grants for maritime security and wind farm optimization Principal investigator for HEIF-funded Operational Research Centre Chair of scheduling streams at OR53-OR55 conferences Her advising extends to 15 theses, covering topics from nurse rostering to carbon footprint reduction. Collaborative grants include TSB and EU Horizon 2020 projects. She actively contributes to European Journal of Operational Research and leads the Logistics and Operational Research Group (LORG) in developing intelligent decision support systems for complex scheduling problems.

• Management Accounting
• Accounting Information Systems
• Digitization and Visualization
• +۳ مورد دیگر

Prof. Dennis Fehrenbacher is an Associate Professor of Management Accounting at the University of St. Gallen (HSG), Switzerland, where he also serves as Director. He previously held roles at Monash University, Australia, and Siemens Ltd., Dublin. His expertise spans Management Accounting, Accounting Information Systems, and Enterprise Risk Management. He has been recognized for his teaching excellence, including the Innovation in Teaching and Learning Award and Dean’s Commendation. His research focuses on digitization, sustainability accounting, and behavioral aspects of managerial decisions. Education: PhD: University of Stuttgart, Germany MSc: European School of Business, Germany BSc: Dublin City University, Ireland Research Interests: His work explores how technology transforms accounting practices, including AI in budgeting, risk management frameworks, and performance evaluation systems. Recent trends in his publications highlight applications of generative AI, digital visualization tools, and ethical considerations in automated decision-making. Awards & Recognition: Innovation in Teaching (Monash University) Editor-in-Chief Commendation (Journal Decision Support Systems) Best Paper Award (AFAANZ Management Accounting Stream) Professional Activities: As an active researcher, he has presented keynote lectures at institutions like WU Wien and University of Melbourne. He serves on ISO risk management committees and editorial boards of journals like Decision Support Systems and Behavioral Research in Accounting . Labs & Collaborations: Involved in interdisciplinary projects on enterprise risk management and digital transformation initiatives at HSG. His work frequently intersects with industry partners through consulting roles and standardization efforts.

Ludmila Kunchevaمشاهده پروفایل

استاد

• Pattern Recognition
• Machine Learning
• Classifier Ensembles
• +۴ مورد دیگر

Ludmila Kuncheva is a Professor in Computer Science at Bangor University's School of Computer Science and Electronic Engineering. Her core research focuses on pattern recognition and machine learning, with specialized expertise in classifier ensembles, feature selection methodologies, and video analysis techniques. She leads significant research projects including the Leverhulme Trust-sponsored 'Prototype Selection from Streaming, Drifting and Partly Labelled Data'. Research Focus: Her primary research domains include machine learning frameworks for constrained clustering, video summarization methods, and animal re-identification systems. Recent work explores semi-supervised classification with applications in wildlife monitoring and sports analytics, demonstrating cross-disciplinary impact. Publication Trends: Her recent publications show strong emphasis on computer vision applications for ecological studies, particularly animal tracking through advanced video analysis. There's consistent focus on improving classification algorithms for imbalanced data and developing theoretical frameworks for prototype-based learning systems. Research Projects: Prototype Selection from Streaming, Drifting and Partly Labelled Data (Leverhulme Trust) Feature selection for COPD diagnostic systems KTP collaboration with Semantise Ltd. on industrial applications Teaching: Mathematics for Computing Algorithm Design with MATLAB Pattern Recognition and Neural Networks Final Year Project supervision

Hoda ElMaraghyمشاهده پروفایل

استاد

• Manufacturing Systems
• Industry 4.0
• Lean Manufacturing
• +۷ مورد دیگر

Dr. Hoda ElMaraghy is a distinguished Professor of Industrial and Manufacturing Systems Engineering at the University of Windsor , Faculty of Engineering. She is internationally recognized for her groundbreaking contributions to manufacturing systems, particularly in the areas of Industry 4.0, smart manufacturing, and reconfigurable systems. Her research emphasizes adapting manufacturing processes to handle high product variety while maintaining efficiency and sustainability. Dr. ElMaraghy has held significant roles, including former Dean of the Faculty of Engineering, and leads the Intelligent Manufacturing Systems Centre . Her work integrates digital twins, reinforcement learning, and biomimetic approaches to solve complex manufacturing challenges. Key projects include optimizing assembly line rebalancing, thermal expansion control in plastics, and sustainable greenhouse manufacturing ecosystems. Awards & Honours: 2022: Invested in the Order of Canada 2021: Honorary Doctorate from Aalborg University 2021: Honorary Doctorate from Chalmers University 2018: Fellow of the Royal Society of Canada 2016: Fellow of the Canadian Academy of Engineering Her research also focuses on SME innovation through IIoT-driven learning factories and human capital transformation for smart manufacturing adoption. She has published extensively on digital twin applications, product platform design, and lean production systems.

Birte Glimmمشاهده پروفایل

استاد

• Knowledge Representation
• Automatic Reasoning
• Semantic Web Technologies
• +۳ مورد دیگر

Prof. Birte Glimm is a full Professor and Chair of the Institute of Artificial Intelligence at the University of Ulm. She holds leadership roles in academic governance, including as Dean of Studies for Cognitive Systems and Computer Science programs. Her research focuses on knowledge representation, automated reasoning, and semantic web technologies, with applications in autonomous systems and intelligent assistants. She has led projects like the 'Companion-Technology for Home Improvement' and contributed to standards such as SPARQL 1.1 Entailment Regimes. Education: PhD (2008) from the University of Manchester under Prof. Ian Horrocks, BSc from Hamburg University of Applied Sciences (2004), and prior industry experience in communication design. Research Interests: Development of efficient reasoning algorithms for Description Logics, ontology-based data management, and explainable AI. Her work emphasizes scalability, dynamic knowledge processing (e.g., for autonomous vehicles), and natural language explanations of automated reasoning. She co-leads the DFG-funded KEMAI research training group and previously led the BMBF project 2LIKE. Awards: Google Faculty Award (2017), Mileva Einstein-Marić-Preis (2016), and multiple best paper awards. She has served on numerous conference committees and editorial boards, including the OWL 2 Conformance Specification. Teaching: Courses on Knowledge-Based AI, Semantic Web Foundations, and programming for cognitive systems. She coordinates curricula for Computer Science and AI programs at Ulm. Labs/Teams: Institute of Artificial Intelligence; contributions to Collaborative Research Centers SFB/TRR 62 and EU projects in AI for industry.

Gerard Ritsema van Eckمشاهده پروفایل

استادیار

• Privacy in Public Spaces
• Data Protection Law
• European Union Data Law
• +۳ مورد دیگر

Gerard Ritsema van Eck is an Assistant Professor in IT Law at the University of Groningen's Faculty of Law, specializing in privacy and data protection in public spaces, European data law, and surveillance studies. He holds a PhD in Law (2021) and currently serves as a post-doctoral researcher in the SMiLES Living Lab project. His roles include membership in the University Council, Research Ethics Review Committee (CETOR), and leadership of the Surveillance Studies in Groningen Network for All (SSiGNall). His research focuses on the legal and societal implications of surveillance technologies, including body cameras, crowdsourced data collection, and biometric recognition. Notable projects include contributions to the FRA's biometric policing research and the CITYCoP and RESPECT EU-funded projects. He actively advises on privacy policies and frequently engages with media on issues like facial recognition misuse and public camera ethics. Ritsema van Eck publishes extensively on data protection law, with recent works analyzing court rulings on live-stream surveillance and corporate compliance with post-Schrems GDPR obligations. He advises on Data Protection Impact Assessments and advocates for stronger group privacy rights in public spaces. Teaching roles include supervising law students' theses and mentoring junior researchers through the Surveillance Scholars Network.

Alvaro Nosedal Sanchezمشاهده پروفایل

دانشیار

• Nonparametric Regression
• Gaussian Markov Random Fields
• Linear Models
• +۲ مورد دیگر

Alvaro Nosedal Sanchez is an Associate Professor in the Teaching Stream and Associate Chair (STATS) at the Department of Mathematical and Computational Sciences , University of Toronto Mississauga. His research integrates statistical theory with real-world applications in climate science, transportation, and disaster management. Research Interests Nonparametric Regression Gaussian Markov Random Fields Linear Models Bayesian Statistics Application of Statistical Methods Publication Trends His work spans 2012–2019 , focusing on statistical methodologies for transportation systems, climate modeling, and disaster response. Key themes include spatial statistics, algorithm development, and probabilistic modeling. Recent publications emphasize logistic regression in utility coordination and Gaussian Markov Random Fields in climate analysis. Teaching STA 215: Introduction to Applied Statistics STA 218: Statistics for Management and Economics STA 256/258/260: Core statistics and probability courses STA 302: Regression Analysis STA 313: Topics in Statistics STA 437: Applied Multivariate Statistics STA 457: Applied Time Series Analysis

Irina D. Mantaمشاهده پروفایل

استاد

• Intellectual Property Law
• Torts
• Privacy Law
• +۱۳ مورد دیگر

Irina D. Manta is Professor of Law and Founding Director of the Center for Intellectual Property Law at the Maurice A. Deane School of Law, Hofstra University. She has previously served on the faculties of Case Western Reserve University, University of Chicago, Fordham, Cardozo, Brooklyn, George Washington, and Arkansas law schools, and was a Bigelow Fellow at Chicago. She clerked for Judge Morris S. Arnold on the Eighth Circuit and earned her J.D. and B.A. from Yale University. Her research focuses on intellectual property, torts, privacy, internet law, national security, immigration, and the intersection of law with psychology and economics . She explores how legal doctrines interact with human behavior and institutional design, particularly in digital and transnational contexts. Her recent scholarship, published in top journals like NYU Law Review , Texas Law Review , and Vanderbilt Law Review , centers on citizenship, denaturalization, online deception, trademark law, and the criminalization of IP violations . Her articles reveal a consistent interest in the boundaries of legal protection, individual rights, and systemic fairness in evolving technological and political landscapes. She has received the Lawrence A. Stessin Prize for Outstanding Scholarly Publications and has been a Visiting Scholar at Waseda University. She contributes to public discourse through op-eds in The Washington Post , Scientific American , and SCOTUSBlog, and co-hosts the podcast Strangers on the Internet . Manta has taught courses in Torts, Property, Intellectual Property, Trademarks, Copyright, International IP, and Law & Social Science . She co-authored a textbook on criminal aspects of IP and advises on policy issues involving privacy, free speech, and digital rights. She has delivered over 100 talks worldwide and engages in interdisciplinary research linking law with empirical social science. She is actively involved in academic and public discourse through her role at Hofstra’s Center for Intellectual Property Law and her collaborations with scholars such as Cassandra Burke Robertson, David S. Olson, and Gregory Dolin.

• Network Programmability
• Network Virtualization
• Routing
• +۷ مورد دیگر

Géraldine Texier is a Professor at the Network Systems, Cybersecurity and Digital Law (SRCD) department of IMT Atlantique, a member of the Adopnet research team at IRISA, and affiliated with the Advanced Connectivity lab of the b com Institute. Her research focuses on network programmability, virtualization, Quality of Service (QoS), inter-domain routing, and IoT. She contributes to academic activities through teaching networking courses and co-developing three MOOCs. Her research spans advanced topics in Software Defined Networking (SDN) Network Function Virtualization (NFV) QoS in inter-domain contexts IoT routing protocols Genetic algorithms for network optimization Fuzzy reputation systems for 5G infrastructure with a particular emphasis on scalable solutions and trust mechanisms. The 15 most recent publications highlight her work in network tomography, federated learning, and 5G slicing. Key trends include AI-driven network service placement reputation systems for RAN sharing genetic algorithms for monitoring optimization inter-domain path computation QoS in virtualized environments collaborative security frameworks In her advisory role, she has directed multiple PhD students including Masoud Taghavian (NFV in 5G Edge) Cedric Morin (SDN-NFV QoS algorithms) Rabah Guedrez (Segment Routing) Pascal Thubert (Deterministic Networks) and maintains active involvement in EU projects and industry collaborations.

Ali Goharمشاهده پروفایل

پژوهشگر

• Communication Networks
• 5G and 6G
• Mathematical Modeling for Communication Networks
• +۳ مورد دیگر

Ali Gohar is a Researcher at the Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger. He holds a PhD in Computer Science from the same university (2019-2024) and has supervised multiple master's theses. Education: PhD - Computer Science, University of Stavanger (2019-2024) MS - Computer Science, Kookmin University (2017-2019) BS - Telecommunication, COMSATS University Islamabad (2011-2014) Certifications: AI in Education, Constructive Alignment and Digital Course Design, Intercultural Competence, NyTi Teaching Certificate, CCNA Research Interests: Ali Gohar's work centers on Deep Reinforcement Learning, 5G/6G communication networks, mathematical modeling, and resource allocation optimization. His research develops autonomous algorithms for network systems in smart cities and space-air-ground integrated networks. Publications: He has contributed to 15 recent publications spanning peer-reviewed journals and conference proceedings, focusing on network slice brokers, virtual network embedding, scalable video coding, and remote driver selection. These works intersect with AI, telecommunications, and urban infrastructure. Supervision: He has mentored students on projects including security-aware resource allocation, federated learning, and vertical industry optimization in smart cities.

• Environmental Geology
• Geotechnology
• Geoenvironmental Studies
• +۴ مورد دیگر

Professor Eleni Kokkinou holds a position at the Hellenic Mediterranean University (HMU) as a Professor of Environmental Geology and Geotechnology, with an affiliation to the Institute of Computer Science at FORTH. She earned her Geology degree from Aristotle University of Thessaloniki, followed by a postgraduate diploma and PhD in Applied Geophysics from the Technical University of Crete. Her research focuses on environmental geology, geotechnical studies, geodata modeling, and coastal vulnerability. She has pioneered work in remote sensing for agricultural management, oil spill modeling in the Eastern Mediterranean, and precision agriculture using UAV technology. She has supervised over 73 diploma dissertations, 5 ongoing theses, and examined multiple international M.Sc. theses in Egypt and Cyprus. Teaching includes courses on GIS, geotectonics, and geoscience software at HMU and TEI Crete. She actively contributes to committees like the Research Management Board of HMU and is a licensed UAV pilot with expertise in geophysical prospection. Her work integrates geomatics, environmental monitoring, and civil protection strategies for coastal and marine systems. Key collaborations include Cairo University and the Technical University of Crete. She has developed decision-support systems for irrigation optimization and participated in major projects like the Nereids oil spill risk assessment initiative.