Mustafa Asım Kazancıgil is an Assistant Professor at Yeditepe University's Faculty of Computer and Information Sciences, Department of Information Security Technology. He has also served in the Department of Information Systems and Technologies at Yeditepe University since 2014. His academic journey includes a PhD in Informatics-Computer Science from Universita degli Studi di Milano (2013) and a Master's in Interactive Digital Television from the same institution (2006). PhD: Universita degli Studi di Milano (2013) Master's: Universita Degli Studi di Milano (2006) Bachelor's: Yeditepe University, Faculty of Communication, Department of Radio, Television and Cinema (2004) His research focuses on web design , information systems security , big data analytics , and emergency services technology . His publications include works on disaster resilience and interactive digital television applications. He has taught courses on Web Design, Information Systems Security, and Advanced Web Programming at both undergraduate and graduate levels. Administrative roles include Head of Department (2021) and multiple Erasmus Coordinator positions (2016-2019). He supervises theses in digital marketing and CRM trends, as well as CRM/SCM applications in management information systems. His teaching portfolio spans 2013-2025 across Yeditepe University's academic calendar.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۷۲۱-۷۳۵ از ۴۵٬۵۲۴ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Prof. Dr. Michael Schloter serves as Director of the Research Unit for Comparative Microbiome Analysis at Helmholtz Munich since 2011 and holds a Professorship in Microbiology at the Technical University of Munich since 2010. He concurrently acts as Principal Investigator at both the German Center for Lung Diseases (DZL) and the Central for Food and Nutrition (ZIEL) at TU Munich, driving interdisciplinary research at the intersection of environmental and human health through the "Planetary Health" framework. His educational foundation was built through diploma studies at Ludwig Maximilian University Munich and doctoral research at the University of Bayreuth, followed by formative work in Brazil and the United States where he pioneered bioinocula development for stress-resilient agriculture. At Helmholtz Munich (formerly GSF), he evolved from group leader in soil microbial ecology (2001) to Research Unit Director, expanding his focus from agricultural systems to human microbiome-health connections. Dr. Schloter's research program centers on microbiome-host crosstalk across ecological scales, investigating how environmental microbiota interact with human and plant microbiomes to influence health outcomes. His work integrates ecological theory with microbiome analysis to decode host-microbe co-evolution patterns, with applications spanning sustainable agriculture, allergy prevention, and infection control. Key thematic pillars include holobiont theory, probiotic development, and microbiome-mediated disease prevention through environmental quality improvement. Analysis of his 2025 publications reveals a strategic research portfolio bridging fundamental and applied microbiome science. Agricultural studies dominate (maize, potato, apple systems), examining microbial inoculants and soil management, while human health investigations explore preterm birth complications and Antarctic mammal microbiomes. Computational approaches for antimicrobial resistance assessment and ecosystem-scale projects like JenaTron demonstrate methodological breadth, all converging on translating microbiome functionality into real-world sustainability solutions. Major recognitions include: Election to the Bavarian Academy of Science (2021) Consistent placement among the top 1% of highly cited global researchers (2019-2021) Heinrich Baur Research Award (2011) for agricultural microbiology contributions As Research Unit Director, Schloter leads large-scale collaborative initiatives including the DZL and ZIEL consortia, securing major funding for microbiome standardization projects and international research networks. His leadership extends to developing analytical frameworks for cross-ecosystem microbiome comparisons and establishing protocols for translating microbial ecology principles into clinical and agricultural applications. The Comparative Microbiome Analysis unit operates as a nexus for multi-host microbiome research, employing comparative genomics, field-scale agricultural trials, and clinical cohort studies to investigate microbiome dynamics across environmental, plant, and human systems. Current infrastructure includes advanced sequencing facilities and experimental platforms for plant-microbe and host-microbe interaction studies under controlled and natural conditions.
- Genetic Toxicology
- Ecotoxicology
- Marine Pollution
- +۱۲ مورد دیگر
Professor Awadhesh N. Jha is a Professor in Genetic Toxicology and Ecotoxicology at the School of Biological and Marine Sciences , University of Plymouth, UK. He has been a leading figure in environmental toxicology since joining the university in 1996, rising to full professorship in 2010. He leads the Environmental and Applied Biology Research Group and the Genetic Toxicology and Ecotoxicology Research Group, and served as REF UoA6 Coordinator (2014–2022). His educational background includes a PhD in Radiation Cytogenetics from Banaras Hindu University, India (1989), followed by post-doctoral work at Leiden University, Netherlands, and a role at ICI/Zeneca’s marine toxicology lab before transitioning to academia. Professor Jha’s research focuses on the genotoxic and ecotoxic impacts of environmental stressors such as radionuclides, engineered nanoparticles, PAHs, and emerging contaminants on aquatic organisms. He employs multidisciplinary and innovative methodologies, including in vitro models like fish cell spheroids (‘Virtual Fish’ project), to assess DNA damage, develop biomarkers, and reduce reliance on live animal testing. His work integrates molecular biology, chemistry, and environmental science to evaluate risks to marine ecosystems and human health. The recent research articles reflect a strong trend in marine pollution, radiation biology, and environmental risk assessment , with increasing emphasis on emerging issues like tritium release from nuclear facilities, AI-assisted landfill risk modeling, and sunscreen toxicity. His studies often involve international collaborations and real-world policy implications. Scientific Awards and Recognitions: Jim Parry Award, UKEMS (2021) Fellow of the Royal Society of Biology (FRSB, 2015) VC’s World Class Researcher Award Finalist (2010, 2012) Plymouth Pioneers Recognition UK Nominated Expert, UN WOA III (2023) Supervision and Grants: Professor Jha has supervised 26 PhD students to completion and mentored over 10 post-doctoral researchers. He has led major funded projects including TRANSAT (€5M, Horizon 2020), SPHERTOX , and TITANS , funded by EU, NERC, BBSRC, IAEA, and industry partners like AstraZeneca and Unilever. His work directly informs environmental policy and nuclear safety regulations. Laboratories and Teams: He leads the Genetic Toxicology and Ecotoxicology Research Group and is central to the Environmental and Applied Biology Research Group at Plymouth. His team collaborates internationally with institutions in France, Italy, Spain, Brazil, and India, and contributes to the South West Nuclear Hub. The lab specializes in advanced analytical methods, comet assays, and 3D cell culture models.
Matteo Magnani is a Professor in the Division of Computing Science at the Department of Information Technology, Uppsala University. He leads the Uppsala University Information Laboratory and is a founding member of the Uppsala University Computational Social Science Lab. His research spans network science, artificial intelligence, data science, and computational social science, with a focus on social data mining and multilayer networks. PhD in Computer Science, University of Bologna, 2006 Graduated with honours in Information Sciences, University of Bologna, 2002 Studies in Computer Science at University of Marne la Vallée and Imperial College London Matteo Magnani's research interests include social network analysis, multilayer and probabilistic networks, community detection, visual analytics, and the application of AI to digital media and climate communication. His work bridges computer science and social sciences, particularly in analyzing online discourse and digital intermediaries. He has contributed significantly to the understanding of network structures, uncertainty in networks, and the ethical dimensions of algorithmic analysis. His recent publications highlight trends in fairness in community detection, visual saliency in network layouts, emotional reactions to climate visuals online, and deep learning applications in social media. Topics frequently involve YouTube, Twitter, and online public debates, using advanced network and machine learning methods. Rotary Prize for best student of the Science Faculty Best Paper Award Funniest Presentation Award Best Poster Award Pedagogical Prize from UTN Distinguished University Teacher (Sweden) Docent title (Sweden) Magnani has supervised numerous students and collaborated widely, particularly with Luca Rossi, Alexandra Segerberg, and Davide Vega. He has secured funding from major sources including VR, H2020, STINT, and MIUR. He leads active research labs focused on information systems and computational social science, fostering interdisciplinary collaboration and innovation in network-based research.
Stephan J. Goetz is a Professor in the Department of Agricultural Economics, Sociology and Education at the College of Agricultural Sciences, Pennsylvania State University. He is based at 207C Armsby Building, University Park, PA 16802, and can be reached at sjg16@psu.edu. His research spans agricultural economics, regional development, and rural policy, with a strong emphasis on human and social capital, innovation, and community well-being. His research interests focus on the role of markets and human capital in economic growth and poverty reduction. Key areas include regional food systems, self-employment, social network analysis, targeted regional development, agritourism, direct farm sales, and the digital divide. His work often integrates data science, spatial analysis, and policy evaluation to understand rural economic dynamics. The recent publications highlight a consistent trend in analyzing rural innovation, food system resilience, and socioeconomic impacts of technology and crises. His work combines empirical methods with optimization models, often using county-level U.S. data. Themes include food hub logistics, cloud computing in rural economies, pandemic-related food insecurity, and gender impacts in farming. While no specific awards are listed, his extensive publication record in high-impact journals reflects scholarly recognition. He has collaborated with researchers across disciplines, suggesting active grant-funded projects and likely student mentorship, though formal advisees are not named. He is involved in research on equitable communities and the built environment, and affiliated with initiatives related to health and environmental sustainability. His work with extension services indicates engagement with public outreach and community development programs.
- Information Law
- Privacy Law
- Constitutional Law
- +۴ مورد دیگر
Stuart Hargreaves is an Associate Professor at the Faculty of Law , The Chinese University of Hong Kong . His research focuses on information and privacy law and constitutional law and legal theory , reflecting his prior legal practice and academic background. Education: SJD, University of Toronto (2013) BCL, Oxford University (2008) JD, Osgoode Hall Law School (2006) BA in Politics & Sociology, McGill University (2000) His work examines the intersection of artificial intelligence and legal education , with projects like “Teaching Avatars” using AI for educational content creation. He also investigates surveillance technologies , privacy law , and constitutional rights in the context of Hong Kong’s political and legal environment. Scientific Awards and Grants: CUHK Teaching Excellence Award (2017) CUHK Direct Grant for Research University Grants Committee Teaching Development Grant Research Grants Council General Research Fund Joseph-Armand Bombardier Canada Graduate Scholarship Google Policy Fellowship He has contributed to AI in legal pedagogy through multiple conference presentations (e.g., “Teaching Avatars” at the 2024 CUHK Teaching & Learning Innovation Expo) and serves on the Board of Advisors for Teach for Hong Kong . His external roles include journal reviewing and LAWASIA membership.
- Econometrics
- Macroeconomics
- Financial Economics
- +۷ مورد دیگر
Nezir KÖSE is a Professor and currently serves as the Dean of the Faculty of Economics and Administrative Sciences at Beykent University. He has previously held academic positions at Istanbul Gelişim University and Gazi University, where he advanced from Research Assistant to full Professor. His academic career spans over three decades, with continuous contributions in teaching, research, and administrative leadership. Beykent University – Faculty of Economics and Administrative Sciences (2020–Present) Istanbul Gelişim University – Faculty of Economics, Administrative and Social Sciences (2017–2020) Gazi University – Faculty of Economics and Administrative Sciences (1990–2017) Education: Doctorate, Institute of Social Sciences, Gazi University (1992–1998) Degree, Faculty of Economics and Administrative Sciences, Gazi University (1990–1992) Licence, Faculty of Science, Gazi University (1985–1989) His primary research interests include Econometrics , Macroeconomics , Financial Economics , Time Series Analysis , and Energy and Environmental Economics . He has made significant contributions to the analysis of inflation, exchange rate volatility, foreign direct investment, oil price impacts, and financial stability, with a regional focus on Turkey and emerging markets. His recent publications (2023–2025) reflect a dynamic research agenda involving cryptocurrency markets , climate change economics , machine learning applications , and nonlinear macroeconomic modeling . His work frequently employs advanced econometric techniques such as panel data analysis, VAR/SVAR models, GARCH models, and time-varying parameter estimation. Scientific Awards: No awards mentioned in the provided text. Nezir KÖSE has supervised numerous graduate students, including PhD candidates who have completed theses on topics such as foreign direct investment, financial stability, oil price effects, and inflation uncertainty. He has also contributed to academic grants and collaborative research projects, particularly in energy and financial economics. He teaches core courses including Econometrics I & II , Time Series Analysis , and Nonparametric Statistics , demonstrating a strong commitment to pedagogy. He has authored several textbooks in econometrics and statistics, enhancing educational resources in Turkish academia. There is no indication of lab or team leadership, but his collaborative publications suggest active participation in research groups.
Peer Christian Kunstmannمشاهده پروفایل
استاد مدعو
Peer Christian Kunstmann is an Adjunct Professor at the Institute of Analysis, Karlsruhe Institute of Technology (KIT). He teaches advanced mathematics courses for physics, electrical engineering, and mathematics students, including Analysis 4 (2025) and Höhere Mathematik II (2025). His research focuses on functional analysis, partial differential equations, and harmonic analysis. Key topics: Spectral theory, Navier-Stokes equations, and nonlinear Schrödinger equations Co-organized conferences: Parabolic Evolution Equations (2019), Evolution Equations (2010) Recent work explores maximal regularity for parabolic equations, modulation spaces in NLS analysis, and seismic imaging via Radon transforms. Publications span 2015-2023, with collaborations on topics like Banach algebras and inverse problems.
Professor Ingrid Undeland leads the Marine research group at the Division of Food and Nutrition Science, Department of Life Sciences at Chalmers University of Technology. She is a distinguished researcher with expertise spanning marine food science, lipid chemistry, and blue biorefining, having established herself as a leading figure in sustainable seafood research and marine biotechnology. Her educational background includes food science studies from Linnaeus University and a PhD in bioscience from Chalmers University of Technology and SIK (now RISE). Between 1999-2002, she was a post-doctoral fellow at University of Massachusetts Marine Station, which significantly shaped her research trajectory in marine food science. Professor Undeland's research focuses on pioneering next-generation seafood through innovative value chains from seaweed, small pelagic fish, fish side streams, mussels, and microalgae. Her specialized expertise lies in marine lipids and proteins, particularly their stabilization, isolation from complex sources, and nutritional properties including digestibility. She has extensive experience with antioxidant strategies using plant-derived side streams or extracts and fundamental studies of fish hemoglobins as pro-oxidants. Her work also encompasses innovative technologies for biomass fractionation and nutrient recycling to build blue biorefineries, along with in vitro digestion models and general seafood analytics. Beyond marine research, she explores filamentous fungi as sustainable alternative food protein sources. The trends in her recent publications reveal a strong emphasis on valorizing marine resources through advanced processing techniques. Her work increasingly focuses on sustainable extraction methods for seaweed proteins, particularly Ulva fenestrata, and developing antioxidant strategies using berry side streams to stabilize fish proteins. There's a growing interest in understanding the nutritional properties and digestibility of alternative marine proteins, along with environmental assessments of processing technologies. Her research consistently bridges fundamental science with practical applications for creating sustainable seafood value chains. Swedish representative in Nordic Lipidforum, WEFTA, and EuCheMS Editorial board member of Journal of the Aquatic Food Product Technology Member of the National Committee for Nutrition and Food Science at the Royal Swedish Academy of Sciences Co-founder of the startup company AquaFood H-index of 47 according to Google Scholar Professor Undeland has an extensive record of academic mentorship, having supervised or currently supervising 23 PhD students, 14 postdoctoral researchers, and examining over 25 MSc students. Her research is supported by numerous grants, including the WaSeaBi Project which focuses on valorizing seafood side-streams through holistic value chain design. She collaborates with various industry partners and academic institutions across Europe. Her laboratory includes technicians Dr. Karin Larsson and Dr. Rikard Fristedt, and she leads a dynamic research team working on multiple projects related to marine biorefining and sustainable seafood development. Her research group operates within well-equipped facilities at Chalmers University, with specialized laboratories for marine food analysis, protein extraction, lipid oxidation studies, and in vitro digestion modeling. The team also maintains cultivation systems for seaweed and filamentous fungi, enabling integrated research from raw material production to final product development.
- Computational Privacy
- AI Safety
- Machine Learning
- +۳ مورد دیگر
Yves-Alexandre de Montjoye is an Associate Professor of Applied Mathematics and Computer Science at Imperial College London, where he leads the Computational Privacy Group. He holds a joint affiliation between the Department of Computing and the Data Science Institute. His roles include serving as a Special Adviser on AI and Data Protection to the EC Justice Commissioner Didier Reynders, a Parliament-appointed Commissioner for the Belgian Data Protection Agency, and a Special Adviser to EC Competition Commissioner Margrethe Vestager, co-authoring the 'Competition Policy for the Digital Era' report. He earned his PhD from MIT in 2015 under Alex 'Sandy' Pentland. His master's degrees include an M.Sc. in Applied Mathematics from UCLouvain, an M.Sc. (Centralien) from École Centrale Paris, and an M.Sc. in Mathematical Engineering from KU Leuven. He also holds a B.Sc. in Engineering from UCLouvain. His research interests focus on computational privacy, anonymization techniques, AI safety, and machine learning attacks. He develops methods to 'red team' AI systems and create privacy-preserving mechanisms. His work addresses vulnerabilities such as membership inference, attribute inference, and re-identification risks in datasets, with applications to location tracking, synthetic data, and LLMs. His articles analyze adversarial attacks against privacy systems, emphasizing robustness and practical guarantees. He advocates for privacy-by-design approaches in big data analytics and has explored ethical AI, competition policy in digital markets, and humanitarian uses of mobile data. While no scientific awards are explicitly listed, his contributions have been widely covered in media. He is currently recruiting motivated PhD students for his group at Imperial College. His advising and grants narrative includes work on privacy-preserving technologies and policy implications of AI, with collaborations across academia and public institutions. He is affiliated with the Computational Privacy Group and contributes to platforms like OPAL for privacy analytics. His office is in the ACE Extension building (ACEX 259), accessible via Exhibition Road.
Themistoklis Sapsis is a Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT), where he also holds an affiliation with the MIT Institute for Data, Systems, and Society. He earned his Ph.D. in Mechanical Engineering from MIT in 2011 and previously served as an Assistant Research Scientist at NYU’s Courant Institute of Mathematical Sciences. His research focuses on developing analytical, computational, and data-driven methods to predict and quantify extreme events in high-dimensional nonlinear systems, such as turbulent fluid flows and mechanical systems. Key areas include probabilistic modeling of climate extremes, machine learning for climate simulation corrections, and uncertainty quantification in complex dynamical systems. Recent work emphasizes applications in ocean engineering (e.g., vortex-induced vibrations, wave energy systems) and environmental science (e.g., spatially resolved climate extremes, bias correction in Earth system models). His methodologies combine stochastic emulators, Bayesian experimental design, and neural networks to address challenges in data sparsity and model fidelity. Notable contributions include frameworks for correcting coarse-scale climate simulations using machine learning, real-time ocean temperature reconstruction from satellite data, and data-driven modeling of hydrodynamic interactions in marine risers. His research bridges theoretical developments with practical applications in energy systems, structural monitoring, and autonomous systems. Prof. Sapsis collaborates with interdisciplinary teams and has contributed to initiatives such as FIRSTLING-DIGIMAR (a marine riser digital twin) and multi-fidelity frameworks for autonomous seakeeping. His work is supported by grants focused on advancing machine learning in scientific modeling and extreme event prediction.
Yaoqing Yangمشاهده پروفایل
استادیار
Yaoqing Yang is an Assistant Professor at the Department of Computer Science, Dartmouth College. He earned his PhD in Electrical and Computer Engineering (ECE) from Carnegie Mellon University (CMU) and completed postdoctoral research at UC Berkeley's RISE Lab. His work focuses on robustness in machine learning systems, spectral analysis of neural networks, and algorithm design for structured data like graphs and point clouds. PhD in ECE, Carnegie Mellon University Postdoc, RISE Lab, UC Berkeley BS in Electrical Engineering, Tsinghua University Research interests include diagnosing and mitigating model failures through heavy-tailed spectral analysis, decision boundary studies, and loss landscape visualization. He develops methods such as AlphaPruning and SharpBalance to enhance large language models and ensemble learning. Recent work spans 2025 publications on spectral evolution of neural networks, agentic AI for science, and LLM safety. Key collaborations include Michael W. Mahoney and other researchers. Burke Research Initiation Award, Dartmouth (2024) DOE grant for scientific foundation models (2024) DARPA grant for AI robustness (2024) He serves as Area Chair at NeurIPS 2025 and ICLR 2026, and has presented at Google Research, Lawrence Berkeley National Laboratory, and leading universities worldwide. His lab at Dartmouth engages in theoretical and applied research, with connections to UC Berkeley's RISE Lab and collaborations across institutions like CMU and Tsinghua University.
- database theory
- verification
- computational logic
- +۳ مورد دیگر
Victor Vianu is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego, within the Jacobs School of Engineering. His work focuses on the intersection of database theory and verification techniques, particularly in the context of data-driven business processes and workflows. Research Interests Professor Vianu's primary research interests span database theory, verification of database-driven systems, and computational logic. His current work focuses on automatic verification of interactive data-driven web services and business processes, exploring how to provide customized workflow views for different stakeholders in organizational settings. His research addresses significant technical challenges at the intersection of data management and process modeling, requiring novel approaches that go beyond traditional relational algebra to handle both data and process aspects simultaneously. His work on data-driven business processes investigates how to specify, analyze, and synthesize views of workflows that expose only information relevant to specific user roles. This research has important applications in e-commerce, digital government, healthcare, and scientific infrastructure, where different stakeholders require varying levels of workflow abstraction and detail. Research Contributions and Trends Professor Vianu's recent publications demonstrate a consistent focus on the integration of data management and workflow processes. His work has evolved from foundational database theory to increasingly practical applications in business process management. A key trend in his research is the development of formal frameworks for workflow views that maintain consistency while providing appropriate abstractions for different user roles. His publications reveal a progression from theoretical foundations to more applied aspects of workflow verification and integration, often in collaboration with researchers from INRIA and other institutions. Advising and Research Support Professor Vianu leads the UCSD Database Laboratory, which conducts research on database systems and theory. He currently advises graduate student Marysia Tran and has likely mentored numerous other students throughout his career. His research is supported by the National Science Foundation under grant "Views of Data-Driven Business Processes: Foundations and Applications" (NSF Project III 1815247). This project brings together techniques from logic, automata theory, complexity theory, algorithms, and automatic verification to address challenges in workflow management. Research Environment Professor Vianu is an active member of the UCSD Database Laboratory, which maintains a regular research seminar series. He has collaborated extensively with researchers including Alin Deutsch (UC San Diego), Serge Abiteboul (INRIA and ENS-Paris), Pierre Bourhis (Univ. of Lille and CNRS), and Adrien Koutsos (ENS Cachan). His foundational work includes co-authoring the influential textbook "Foundations of Databases" with S. Abiteboul and R. Hull, which remains a standard reference in database theory.
Benjamin Alarie is a Professor and the Osler Chair in Business Law at the University of Toronto Faculty of Law. He is a leading scholar at the intersection of artificial intelligence, law, and taxation, and the co-founder and CEO of Blue J, an AI-powered tax research platform used by over 3,000 organizations across North America and the UK. Education: LL.M. – Yale Law School (2003) J.D. – University of Toronto (2002), with honours M.A. – University of Toronto (2002) B.A. – Wilfrid Laurier University (1999), with high distinction Research Interests: Alarie’s research spans tax law , legal theory , judicial behaviour , and the applications of machine learning in law . He introduced the concept of the “legal singularity”—the idea that legal systems may evolve toward greater clarity and predictability through AI and computational methods. His work explores how AI can enhance legal reasoning, regulatory design, and tax compliance. He is particularly focused on the ethical and practical implications of generative AI in legal and tax practice, including liability, transparency, and the future role of human practitioners in AI-augmented systems. Scientific Awards: PROSE Award (2024) for The Legal Singularity Donner Prize shortlist (2024) for The Legal Singularity vLex Fastcase 50 Honoree (2023) Top 50 Changemaker, The Globe and Mail (2022) Alan Mewett QC Prize for Excellence (2009) Advising & Grants: Alarie is a frequent advisor to courts, government agencies, and global professional networks. His work at Blue J involves strategic partnerships with CPA.com, CPA Canada, the National Association of Tax Professionals, Big 4 accounting firms, and Tax Notes. He also serves as a faculty affiliate at the Vector Institute for AI and the Schwartz Reisman Institute for Technology and Society. Labs & Teams: As CEO of Blue J, Alarie leads a multidisciplinary team of legal scholars, engineers, and data scientists. The platform is used by tax authorities and accounting firms to deliver precise, defensible, and efficient tax research and decision-making tools.
Anas Iftikharمشاهده پروفایل
استادیار
Dr. Anas Iftikhar is an International Lecturer (Assistant Professor) in Logistics and Supply Chain Management at Lancaster University's Management School, United Kingdom. He is affiliated with the Centre for Productivity and Efficiency and contributes to the Supply Chain Management department with research focusing on contemporary supply chain challenges. Dr. Iftikhar completed his Ph.D. in Economics, Management, and Quantitative Methods from the University of Salento, Italy in May 2021. During his doctoral studies, he held visiting researcher positions at Ghent University (Belgium) and Cardiff Business School at Cardiff University (UK), gaining valuable international research experience. Prior to his academic career, he accumulated industry experience in inventory planning and operations management. Dr. Iftikhar's research primarily investigates how supply chain capabilities enhance resilience in disruptive and complex environments. His work explores the intersection of supply chain complexity, digital technologies, and resilience strategies. He employs methodological approaches including systematic literature reviews, meta-analysis, and structural equation modeling. His research has significant implications for organizations navigating geopolitical uncertainties, digital transformation, and supply chain disruptions. His publication portfolio demonstrates a clear evolution from foundational work on network trust and ripple effects to more sophisticated examinations of digital transformation's role in supply chain resilience. Recent publications increasingly focus on the synergistic effects of multiple capabilities (network capability, innovation ambidexterity) in addressing complex challenges like geopolitical turmoil. The research trajectory shows a progression from single-factor analyses to more complex, integrated models that better reflect real-world supply chain dynamics. Dr. Iftikhar actively participates in the academic community through presentations at major conferences including the European Operations Management Association (EUROMA) annual conference, IFAC Conference on Manufacturing Modelling, Management & Control, and Industrial Engineering Operations Management (IEOM) society events. He has also delivered invited talks such as 'Contemporary Issues in Logistics Management' at Bukhara State University. As an educator, Dr. Iftikhar is willing to supervise PhD students in supply chain resilience, disruption management, supply chain complexity, and innovative technologies in supply chain management. His industry experience enriches his teaching approach, bridging theoretical concepts with practical applications. His research outputs have been published in leading Operations and Supply Chain Management journals including International Journal of Production Research, Production Planning and Control, Annals of Operations Research, and Journal of Business Research.