جست‌وجوی استاد و پژوهشگر

• Internet of Things
• Cyber Physical Systems
• Smart Infrastructures
• +۶ مورد دیگر

Professor Ali Kashif Bashir serves as Professor of Computer Networks and Cybersecurity at Manchester Metropolitan University's Department of Computing and Mathematics within the Faculty of Science and Technology. He leads the Future Networks lab and maintains 7 honorary and adjunct professor positions globally. His extensive academic service includes membership on the Council of Professors and Heads of Computing (CPHC) in the UK and serving as an expert reviewer for multiple international research councils including EPSRC (UK), Irish Research Council, and NSERC (Canada). BS from University of Management and Technology, Pakistan MS from Ajou University, South Korea PhD in Computer Science and Engineering from Korea University, South Korea Professor Bashir's research focuses on the intersection of cybersecurity, IoT, and AI, with particular emphasis on securing cyber-physical systems and developing AI algorithms to solve network security challenges. His work bridges theoretical advancements with practical implementations in smart infrastructure security. He has presented over 45 keynote speeches at international conferences and published more than 300 research articles in high-impact journals and conferences. His publication record demonstrates a strong focus on emerging security challenges in the Internet of Things ecosystem, particularly drone networks and software-defined networking environments. His recent work shows a trend toward integrating deep learning techniques with traditional security protocols to address sophisticated cyber threats in evolving network architectures. IEEE Featured Author 2021 World's Top 2% Scientists by Stanford University (2021, 2022) Shortlisted for Clarivate Highly Cited award 2023 ACM Distinguished Speaker (2019-2022) Multiple best paper and thesis awards Professor Bashir actively supervises numerous PhD students across multiple institutions worldwide and mentors KTP associates on industry-academia collaboration projects. His grant portfolio includes significant funding from Innovate UK, EPSRC, and international research councils, totaling millions of pounds for projects focused on Industry 4.0 capabilities, cybersecurity, machine learning, and predictive maintenance systems. As leader of the Future Networks lab, Professor Bashir directs research on next-generation network security solutions. His team collaborates with industry partners including Package Automation LTD and Broderick, focusing on practical implementations of theoretical security frameworks in real-world industrial settings.

Julfikar Haiderمشاهده پروفایل

مدرس ارشد

• Composite Materials
• Surface Engineering
• Tribology
• +۵ مورد دیگر

Dr. Julfikar Haider is a Senior Lecturer in Mechanical Engineering at Manchester Metropolitan University (MMU), UK. He holds a PhD in Surface Engineering from Dublin City University and is a Chartered Engineer (CEng) and Fellow of the Higher Education Academy (FHEA). His research focuses on composite materials, surface engineering, tribology, manufacturing for Industry 4.0, and AI-driven solutions in engineering. Education: BSc in Mechanical Engineering (Bangladesh University of Engineering and Technology, 1999); PhD in Surface Engineering (Dublin City University, 2005). Additional qualifications include an MA in Higher Education (MMU, 2020) and a Postgraduate Certificate in Academic Practice (2014). Research interests span advanced manufacturing techniques, material characterization, and sustainable technologies. He has secured over £1.5M in Innovate UK grants for Knowledge Transfer Partnership projects and supervised 17 research associates and students. His work has led to 170+ peer-reviewed papers and 15 book chapters. Key achievements include the IMechE Young Mechanical Engineer of the Year (2017) and a Silver Medal from the AMPT conference. He serves on editorial boards for journals like Advances in Materials Processing Technologies and Scientific Reports , and is a member of the EPSRC Peer Review College. Teaching includes modules on engineering design, materials, sustainability, and Industry 4.0 systems at both undergraduate and postgraduate levels. Current supervision involves PhD and MRes projects on dental materials and sustainable ventilation systems.

• Technology Enabled Care in Cancer
• Palliative Care Interventions in Cancer
• Neuro-Palliative Care
• +۳ مورد دیگر

Dr. Lithin Zacharias serves as a Research Associate in the Department of Pharmacy at Kingston University's School of Life Sciences, Pharmacy and Chemistry within the Faculty of Health, Science, Social Care and Education. He actively contributes to the EU Horizon 2020 INCISIVE project, developing AI-driven cancer imaging solutions and secure pan-European medical data repositories. His academic foundation includes: PhD in Psychiatric Social Work MPhil in Psychiatric Social Work Master of Social Work Bachelor of Social Work Dr. Zacharias' research integrates social work principles with cutting-edge oncology applications, focusing on Technology Enabled Care in Cancer, Neuro-Palliative interventions, and Disaster Mental Health. His current work pioneers ethical AI implementation in cancer diagnosis while addressing psychosocial dimensions of patient care through the INCISIVE consortium's multinational framework. Recent publication trends reveal strategic evolution from foundational work on palliative care instruments (2017-2020) toward AI integration in cancer pathways (2022-2023), with consistent emphasis on vulnerable populations and cross-cultural healthcare barriers. His 2023 studies analyze systemic obstacles across seven European nations while evaluating clinician perspectives on AI adoption. Supported by Horizon 2020 funding, Dr. Zacharias leads critical work packages in the INCISIVE project addressing data privacy compliance and clinical validation of AI tools. His grant portfolio enables collaboration with 25+ European institutions while developing federated learning architectures that maintain GDPR compliance across national healthcare systems. As part of the INCISIVE consortium, he operates within a multidisciplinary team of oncologists, AI specialists, and ethicists, driving innovation at the intersection of social work and medical technology. His role uniquely bridges clinical healthcare needs with responsible AI deployment through continuous engagement with cancer care providers across the EU.

Florian Meinfelderمشاهده پروفایل

مدرس

• Data Analysis with Missing Values
• Data Fusion
• Statistical Methodology
• +۵ مورد دیگر

Dr. Florian Meinfelder is a Lecturer for Special Tasks and Coordinator of the Master's Program in Survey Statistics at the University of Bamberg's Department of Statistics and Econometrics. He holds a PhD in Statistics from the Otto-Friedrich University of Bamberg (2009) and previously worked in middle management at GfK SE, leading their Data Integration Competence Center. His research focuses on data analysis with missing values, data fusion, empirical Bayes procedures, and nearest-neighbor algorithms. He has contributed to the development of the BaBooN software package for imputation methods and serves as an Associate Editor for the Journal of Official Statistics . His work bridges academic research with practical applications in official statistics and survey methodology. Education: Studied Social Sciences at FAU Erlangen-Nuremberg, conducted research at Harvard University and the University of Michigan. Professional Experience: 8 years in industry roles at GfK SE, followed by academic roles since 2010. Key Contributions: Over 20 peer-reviewed publications on statistical methodology, data integration, and survey design. Engaged in collaborative projects and methodological advancements in handling incomplete data and multinational survey systems. Research Interests: Methodological innovations in missing data imputation, data fusion techniques, Bayesian methods, and the application of statistical theory to real-world problems. His work emphasizes bridging gaps between theoretical frameworks and practical implementation in official statistics and econometrics.

• Video Game Storytelling
• Eudaimonic Entertainment Outcomes
• Paratextual Content Analysis
• +۳ مورد دیگر

Philippe Chauveau is an Assistant Professor of Humanities and Communication at the College of Arts and Sciences, Embry-Riddle Aeronautical University. His research focuses on video game storytelling, eudaimonic entertainment outcomes, and paratextual content's impact on gaming experiences. He investigates emotions evoked by digital media, including guilt from violent games, cooperative play with AI agents, and tourism intent influenced by virtual environments like Persona 5's Tokyo. Education: Master’s degree from University of Cincinnati, Doctorate from Texas Tech University. Prior sports management work with the International Olympic Committee shaped his interdisciplinary approach. Research interests include moral judgments in gaming, digital environment perception, and interactive media's psychological effects. Recent work explores how paratextual elements (trailers, cover art) affect game appreciation. Publications span 2019–2025, addressing topics from robotics ethics to retro gaming history. Notable recognition includes the 2024 Champion Award. Advising and grant details not specified in text.

Lawrence V. Snyderمشاهده پروفایل

استاد

• Supply Chain Management
• Logistics
• Engineering Decision Making
• +۷ مورد دیگر

Lawrence V. Snyder is the Harvey E. Wagner Endowed Chair Professor of Industrial and Systems Engineering at Lehigh University and serves as Deputy Provost for Faculty Affairs. He previously directed Lehigh's Institute for Data, Intelligent Systems, and Computation (I-DISC). His research focuses on supply chain management, energy systems, and optimization under uncertainty, with applications in logistics, renewable energy, and cybersecurity. Dr. Snyder earned his Ph.D., M.S., and B.S. in Industrial Engineering (Northwestern University) and Mathematics (Amherst College). He co-authored the award-winning textbook *Fundamentals of Supply Chain Theory* (Wiley, 2011/2019), serves on editorial boards for Transportation Science, IISE Transactions, and OMEGA, and is a Senior Research Fellow at Opex Analytics. He leads Lehigh's Integrated Networks for Electricity (INE) research cluster and Power from Oceans, Rivers, and Tides (PORT) lab. His research explores robust supply chain design, energy infrastructure optimization, and machine learning applications. Recent work addresses cyber-physical system vulnerabilities, smart grid integration, and reinforcement learning for inventory control. His funding comes from NSF, DOE, and industry partners. Awards include the IIE Book-of-the-Year Award (2012) and IISE Fellowship (2024). Dr. Snyder advises on grants totaling millions and has mentored numerous students through collaborative projects. His labs pioneer innovations in ocean wave energy farms and resilient electricity networks. He actively bridges academia and industry via advisory roles and conference presentations.

Chris Simmsمشاهده پروفایل

استاد

• Innovation Management
• New Product Development
• Sustainable Innovation
• +۷ مورد دیگر

Chris Simms is a Professor of Innovation Management and New Product Development at the University of Portsmouth, within the Faculty of Business & Law and the School of Strategy, Marketing and Innovation. He leads the Future of Law, Innovation and Technology Research Centre and the Agile Centre For Equitable Sustainability. His research focuses on innovation management, product development, sustainable innovation, and packaging innovation, with a particular emphasis on low/medium technology industries and the food sector. He completed his PhD (2013) on packaging management in fast-moving consumer goods. Dr. Simms is actively involved in Knowledge Transfer Partnership projects, collaborating with firms to develop new products/services. He supervises PhD students in areas like public sector innovation and packaging innovation. His teaching includes coordinating the MSc in Innovation Management and Entrepreneurship, particularly the Managing New Product Development unit. His research has been published in leading journals such as Technovation and Research Policy, covering topics like dynamic capabilities in manufacturing ecosystems, public sector innovation in Singapore, and sustainable development goals. He has also contributed to datasets on innovation challenges in key account management and packaging development. Notable projects include developing packaging frameworks with Innovate UK and studying resilience in SMEs during the pandemic. He is a sought-after media commentator on packaging and innovation topics, with media contributions on platforms like Bluesky and Wikipedia references.

• International Business
• Public Policy
• Sustainable Urbanization
• +۷ مورد دیگر

Carlos Rufin is a Professor of Strategy and International Business at Suffolk University’s Sawyer Business School, with affiliations in Public Service and Healthcare Administration. He also directs the Master of Public Administration and Master of Healthcare Administration programs. His research focuses on infrastructure networks, Public-Private Partnerships, renewable energy, and sustainable urbanization. Dr. Rufin holds a PhD in Public Policy from Harvard University, an M.A. in Economics from Columbia University, and a BA in Economics from Princeton University. Dr. Rufin has served as a consultant for the World Bank, Inter-American Development Bank, and USAID, and holds roles at the Institute for International Urban Development. He has been a visiting scholar at institutions in Brazil, China, Peru, and Spain. His academic leadership includes organizing international symposiums on cross-sector social interactions and serving on editorial boards for journals such as Journal of International Business Policy . His notable awards include the Fulbright Commission Research Award (2020-2022) and the 2012 Sawyer Business School Dean’s Teaching Award. His recent research explores democratic governance, climate adaptation, and healthcare access, with a focus on leveraging technology and institutional frameworks to address global challenges. Dr. Rufin teaches courses on global business clusters, emerging markets, and international development. His work bridges academia and practice, emphasizing interdisciplinary solutions to complex societal issues.

Patricia BAUDIERمشاهده پروفایل

استاد

• New Technology
• Consumer Behaviour
• Digital Marketing

Patricia Baudier is a Professor of Marketing at EM Normandie since 2018, following roles at Leonard de Vinci Business School and the Ecole International School of Luxury Marketing. She holds a PhD in Management Sciences from Institut Mines-Télécom Business School and Université d’Evry-Val d'Essonne (2013), focusing on Twitter claim management and client perception of Community Managers. Her research interests span new technologies, consumer behavior, and digital marketing, with a focus on telemedicine, blockchain, AI, and luxury industries. Professional experience includes 28 years in sales and marketing at Apple France and Kodak Europe/Africa/Middle East. She teaches e-marketing, marketing fundamentals, and customer relations. Her recent work explores telemedicine adoption, blockchain in healthcare and luxury sectors, and AI’s role in education and healthcare. She has presented at conferences like DTS 2024 and published widely in journals like Technological Forecasting & Social Change and Journal of Consumer Behaviour. Key research themes include technology acceptance, digital transformation, and cross-cultural consumer behavior. Collaborations with institutions like Université Caen Normandie reflect her HDR research on technological innovation impacts. Her contributions to books and white papers further highlight her expertise in disruptive technologies and ethical considerations in digital adoption.

• Applied Mathematics
• Approximation Theory
• Orthogonal Polynomials
• +۵ مورد دیگر

Darío Ramos López is a Professor of Applied Mathematics at the Department of Mathematics, Universidad de Almería (UAL). He coordinates the Double Degree in Economics and Mathematics and teaches subjects such as Mathematics II and Numerical Methods and Optimization . His research focuses on Approximation Theory, Orthogonal Polynomials, Bayesian Networks, and Machine Learning applications in biomedical optics and data streams. He leads the research group on Approximation Theory and Orthogonal Polynomials (FQM229). His work integrates mathematical modeling with real-world applications, including corneal data analysis (via the rPACI R package) and environmental conservation projects. He developed the AMIDST toolbox , a Java library for scalable probabilistic machine learning, supporting analysis of massive data streams in finance and other domains. He has authored over 30 publications since 2010, with recent contributions to nonstationary data stream inference and keratoconus detection using Bayesian methods. Tutoring sessions are held in-person or online at CITE III INFORMATICA-MATEMAT (Office 1-400), with flexible scheduling via email appointment.

Alessio Farcomeniمشاهده پروفایل

استاد

• Statistics
• Statistical Methodology
• Data Science
• +۵ مورد دیگر

Alessio Farcomeni is a Professor of Statistics at the University of Rome Tor Vergata, specializing in statistical methodology development. His work bridges academia and applied research across disciplines including economics, medicine, ecology, and engineering. He has authored/co-authored over 250 peer-reviewed papers and two books, with notable contributions in hidden Markov models, Bayesian analysis, and quantitative social science measurement. His research emphasizes interdisciplinary collaboration, reflected in studies on population health, economic policy evaluation, and surgical outcome optimization. Farcomeni’s research interests span statistical theory, with a focus on methodological innovations for complex data structures (e.g., longitudinal, spatial, and high-dimensional datasets). He has pioneered approaches in quantile regression, semi-Markov processes, and latent variable modeling. His applied work addresses real-world challenges such as estimating material deprivation scales, modeling cardiovascular disease risk factors, and analyzing pandemic dynamics (e.g., COVID-19 forecasting in Italy). His recent articles highlight advancements in statistical techniques for healthcare (e.g., AI-driven dermatology diagnostics, atrial fibrillation prediction models) and socio-economic analysis (e.g., macroprudential policy impacts, cross-country material deprivation comparisons). He is recognized for developing open-source statistical software packages, contributing to reproducible research practices. Farcomeni holds the distinction of being ranked among Italy’s top scientists by VIA-Academy. His work frequently integrates Bayesian methods, machine learning, and big data analytics to address pressing questions in public health, environmental science, and economic policy.

• Cloud Computing
• Financial Data Analysis
• Quality Control
• +۶ مورد دیگر

Cheickna Sylla is a Professor at the MT School of Management, New Jersey Institute of Technology (NJIT). His research focuses on socio-technical systems, cloud computing, quality control, and machine learning applications in finance and education. He has collaborated internationally on projects involving financial data integration, generative models for character skeletonization, and customer sentiment analysis in logistics. Key research interests include optimizing human-machine interaction in quality assurance, developing algorithms for financial data imputation, and exploring cloud computing's role in STEM education. His work often bridges technical systems with organizational and societal impacts, such as socio-technical performance modeling and supply chain risk management. Recent contributions include advancements in tensor completion algorithms and generative adversarial networks for Chinese character analysis. His research has been published in journals like Journal of Computer Science and Technology and presented at ACM conferences on AI in Finance.

• AI-Driven Research Software Engineering (AI-RSE)
• Decision Making
• Artificial Intelligence
• +۵ مورد دیگر

Siamak Farshidi is an Assistant Professor in the Department of Information Technology at Wageningen University & Research. His research focuses on AI-driven Research Software Engineering (AI-RSE), emphasizing the integration of artificial intelligence into software development to enhance reusability, sustainability, and environmental responsibility. He holds a Ph.D. in Computer Science from Utrecht University (2020) and has held postdoctoral positions at the University of Amsterdam and Utrecht University until 2024. His research themes include technical debt management, FAIR principles compliance, and the development of AI-enhanced tools for decision-making in software ecosystems. He has contributed to projects like LTER-LIFE (digital twin ecosystems) and ENVRI-HUB Next/ENVRI-FAIR (environmental research systems). His expertise spans decision models, AI, software architecture, and scientific software frameworks. Recent work explores serverless platform selection, blockchain oracles, and conversational recommender systems. His publications reflect trends in decision support systems, FAIR-compliant frameworks, and environmental software engineering. Projects like FAIRSECO and D-VRE highlight his focus on collaborative research ecosystems and decentralized solutions. No scientific awards are explicitly mentioned, but his contributions to open-source ecosystems and environmental research are notable. He teaches courses including Software Engineering (INF32306), Generative Artificial Intelligence (INF53306), and Programming in Python (INF22306). His advising and grants are tied to projects like LTER-LIFE and ENVRI initiatives. He leads efforts in developing frameworks like FAIRSECO and Trustseco to reinforce trust in software ecosystems.

Élodie Allainمشاهده پروفایل

دانشیار

• Management Control
• Managerial Accounting
• Performance Measurement
• +۴ مورد دیگر

Élodie Allain is an Associate Professor in the Department of Accounting at HEC Montréal. She holds a Ph.D. from Université de Rennes 1 and specializes in Management Control and Managerial Accounting with a focus on organizational behavior and institutional dynamics. Her research explores topics such as neoliberal reforms, performance measurement systems, and the role of visual tools in public sector reforms. She has supervised four MSc theses focusing on organizational projects and management challenges. Education: Doctorat en sciences de gestion (Université de Rennes 1), Master Recherche Système d’information et contrôle de gestion (Institut de Gestion de Rennes), Maîtrise de Sciences Techniques Comptables et Financières (Institut de Gestion de Rennes). Key Research Interests: Management accounting practices, critical accounting theory, institutional logics, business intelligence adaptation, and interdisciplinary education methodologies. Recent work examines resistance to neoliberal reforms through accounting practices and the evolution of managerial roles in digital eras. Teaching: Courses include Management Accounting in the Digital Age, Risk Management, and Research in Management Control. Her publications span journals like *Critical Perspectives on Accounting* and book chapters in *Public Sector Reform and Performance Management*. Awards: None listed. Supervision Highlights: Codirected projects on church renovation feasibility, organizational risk tools for startups, and architectural firm profitability analysis. Focuses on practical business challenges in Quebec's economic context.

Sonsoles López-Pernasمشاهده پروفایل

پژوهشگر ارشد

• Learning Analytics
• Game-Based Learning
• Education Technology
• +۷ مورد دیگر

Sonsoles López-Pernas is a Research Fellow at the University of Eastern Finland (since 2022), part of the Learning Analytics research unit. She holds a PhD in Telematics Engineering from Universidad Politécnica de Madrid (Spain). Her work focuses on learning analytics, game-based learning, and quantitative methods like process mining and network analysis. She leads the CRETIC project, funded by Finland's Research Council, which applies multimodal learning analytics to clinical education. She co-authored the open-access book Learning Analytics Methods and Tutorials: A Practical Guide Using R and developed open-source tools like Escapp (educational escape room platform) and the tna R package for transition network analysis. Her research interests span educational technology, AI in learning, and dynamic systems approaches to student engagement. She has published over 100 articles in top journals like Computers & Education and IEEE Transactions on Learning Technologies . Awards include the 2025 SoLAR Emerging Scholar Award and the 2024 IEEE TCLT Early Career Researcher Award. Key Projects: CRETIC (clinical reasoning optimization), Escapp platform, tna R package Software Contributions: Open-source tools for learning analytics and education Awards: SoLAR Emerging Scholar Award (2025), IEEE TCLT Award (2024) Her work emphasizes methodological innovation, with a focus on transitioning from static to dynamic educational analytics. She collaborates globally in research and industry projects.