Find Academic Supervisors

Jules B. van Lier is a Professor in the Department of Sanitary Engineering at the Faculty of Civil Engineering and Geosciences, Delft University of Technology (TU Delft). With over 316 research outputs spanning several decades, he is a leading figure in environmental engineering, particularly in wastewater treatment and resource recovery technologies. His work bridges fundamental research with practical applications aimed at creating circular economy solutions for water management systems. Professor van Lier's research interests focus on advancing sustainable water treatment technologies. His work explores membrane applications, bioreactor design, anaerobic digestion processes, and resource recovery from waste streams. He has made significant contributions to understanding sludge treatment mechanisms, nitrogen removal processes, and emerging contaminant removal techniques. His research portfolio demonstrates a strong commitment to developing innovative solutions for water reclamation and resource recovery that address pressing environmental challenges. His recent publications reveal a clear trend toward circular economy applications in water management, with emphasis on recovering valuable resources like ammonia, energy, and nutrients from wastewater streams. This work spans multiple disciplines including environmental engineering, chemical engineering, and microbiology, demonstrating his interdisciplinary approach to solving complex water challenges. Open Education Ambassador Award 2024 - Recognizing his contributions to open educational resources at TU Delft PhD Energy Event 2016 - Acknowledging his work in energy-related research in wastewater treatment Through his extensive editorial work, including serving on the editorial boards of Water Science and Technology and Water Science and Technology: Water Supply, Professor van Lier has significantly influenced the field. His 49 documented activities, including conference presentations and committee memberships, demonstrate active engagement with both academic and industry partners. His media appearances, particularly the 2024 BNR Nieuws feature on ammonia recovery from waste streams, highlight his commitment to translating research into practical solutions for real-world environmental challenges. His work with industry partners like Lenntech demonstrates the practical applications of his research in commercial settings.

• Wastewater treatment
• Resource recovery from waste streams
• Anaerobic digestion
• +6 more

Dr. Mei Nan is an Associate Professor in the Department of Communication at Tongji University's School of Art and Media. With a career spanning since 2004, she previously held positions at Chang'an University before joining Tongji in 2017. Her academic credentials include a Master's from Shaanxi Normal University, postgraduate studies at Communication University of China, and ongoing doctoral research at Xi'an Jiaotong University's School of Economics and Finance. Research Expertise Her research bridges media economics, AI-driven communication paradigms, and film studies, with specific focus areas including: Media economics and corporate governance interactions Artificial intelligence's impact on communication theory Film/audiovisual language analysis Media culture evolution Marketing models in digital ecosystems Teaching Portfolio Dr. Nan teaches both undergraduate courses ( Audiovisual Language, Chinese/Foreign Film History, Media Culture, Chinese Film Appreciation ) and graduate seminars ( Intelligent Communication Theory and Practice ). Her pedagogical approach integrates contemporary media developments with theoretical foundations. Awards and Grants Tongji University Hongda Award (2021) Tongji Cup General Education Course Paper Competition Teaching Teacher Excellent Organization Award (2021) Principal Investigator: Shanghai Philosophy and Social Science Planning Project (2018BGL025) studying media impact on corporate recovery

• Media Economics
• Artificial Intelligence in Communication
• Film and Audiovisual Studies
• +2 more

Giorgio Ottonello is a tenure-track Assistant Professor of Finance at NOVA School of Business and Economics (NOVA SBE), part of NOVA University Lisbon in Portugal. His research focuses on empirical asset pricing in fixed-income markets, with emphasis on institutional investor behavior, OTC market dynamics, and credit-liquidity risk interactions. Education: PhD in Finance, Vienna Graduate School of Finance (2019) M.Sc. in Quantitative Finance, Vienna University of Economics and Business (2014) Bachelor of Business Administration, University of Genoa (2012) Research Focus: Ottonello's work employs large-scale empirical methods to investigate institutional investor behavior in fixed-income markets, particularly examining OTC market microstructure and the interplay between credit risk and liquidity risk . His research demonstrates how regulatory changes alter credit rating informativeness and how macroeconomic shocks create reverse causality in credit markets, revealing novel transmission channels between real economy developments and financial markets. Publication Trends: His 10 most recent publications (2019-2024) appear in top finance journals including the Journal of Finance and Review of Corporate Finance Studies, showing consistent focus on fixed-income market anomalies. Key themes include inventory constraints in underwriting, benchmarking effects, and cyber risk transmission, with methodology emphasizing causal identification through natural experiments and high-frequency data analysis. Scientific Recognition: RAPS Best Paper of the Year Award (2022) for groundbreaking work on underwriter inventory constraints Academic Leadership: Ottonello supervises Master's theses at NOVA SBE in empirical asset pricing and sustainable finance, while teaching core investments courses. His exceptional teaching evaluation (5.3/6) reflects effective pedagogy in quantitative finance, building on prior experience teaching at WU Vienna where he received perfect scores (1.0/6) for finance paper writing instruction. He actively contributes to academic discourse through frequent presentations at major finance conferences including FIRS, EFA, and SGF.

• Empirical Asset Pricing
• OTC Markets
• Institutional Investors
• +2 more

Ify Mordi, PhD, serves as a Clinical Senior Lecturer and Honorary Consultant in Teaching and Research within the Division of Cardiovascular Research at the University of Dundee's School of Medicine. With an impressive research portfolio spanning over a decade, Dr. Mordi has published 139 research outputs and secured significant funding from organizations including the British Heart Foundation and Juvenile Diabetes Research Foundation. Her work contributes to UN Sustainable Development Goals related to good health and well-being through innovative cardiovascular research. Dr. Mordi's research focuses on the intersection of cardiovascular disease and diabetes, with particular expertise in heart failure (especially heart failure with preserved ejection fraction), aortic stenosis, and coronary artery disease. Her work increasingly incorporates artificial intelligence applications in cardiovascular medicine, including groundbreaking research using retinal imaging to predict cardiovascular outcomes. She leads multiple major research initiatives including the SOPHIST trial investigating Sotagliflozin in patients with heart failure symptoms and type 1 diabetes, and the UK HFpEF Registry in collaboration with the University of Manchester. Analysis of Dr. Mordi's recent publications reveals a strong trend toward integrating advanced analytics and AI with traditional cardiovascular research. Her work spans genetic epidemiology, clinical trials, population health studies, and innovative diagnostic approaches. The research demonstrates growing emphasis on precision medicine approaches for cardiovascular disease, particularly in diabetic populations, and the development of non-invasive diagnostic tools that could transform clinical practice. Dr. Mordi actively contributes to academic mentoring through PhD examinations and serves as an invited speaker at international conferences. Her research has received significant media attention, with coverage in 13 news outlets and mentions across social media platforms, highlighting the translational impact of her work. She has been involved in multiple high-impact collaborative projects including the iDiabetes Platform for enhanced phenotyping of diabetes patients and the REACH-HFpEF study examining home-based rehabilitation for heart failure patients. Through her leadership in the British Heart Foundation-funded Clinical Fellowship focused on improving prediction and prevention of heart failure in type 1 diabetes, Dr. Mordi is establishing herself as a key investigator in the field of cardio-diabetology. Her research program bridges basic science, clinical application, and health services research to address critical gaps in cardiovascular care for diabetic patients.

• Heart Failure
• Cardiovascular Disease
• Type 2 Diabetes Mellitus
• +5 more

Dr. Yuan Lu serves as Assistant Professor of Medicine (Cardiology) and of Biomedical Informatics and Data Science and of Epidemiology (Chronic Diseases) at Yale School of Medicine. She is affiliated with multiple departments including Cardiovascular Medicine (primary appointment), Biomedical Informatics & Data Science, and Chronic Disease Epidemiology. Dr. Lu is also a key member of the Yale Center for Outcomes Research and Evaluation (CORE), where she collaborates with renowned researchers including Dr. Harlan Krumholz. Dr. Lu earned her ScD and MSc degrees in Global Health and Population from Harvard School of Public Health. Her educational background in epidemiology and global health has shaped her research trajectory at the intersection of cardiovascular disease prevention, clinical informatics, and digital health. Dr. Lu's research focuses on cardiovascular diseases prevention through implementation science, with particular emphasis on hypertension management, digital health interventions, and health equity. Her work leverages electronic health records from large healthcare systems to identify patients with persistent hypertension and design decision support systems to improve care. She has successfully completed an NHLBI K12 career development award in implementation science and currently serves as Principal Investigator for an NIH R01 grant leveraging real-world data from five electronic health record databases encompassing over 100 million US adults. Dr. Lu's publication portfolio demonstrates a strong focus on cardiovascular outcomes research, health disparities, and innovative treatment approaches. Her work spans clinical trials, epidemiological studies, and implementation science projects, with particular attention to racial and ethnic disparities in cardiovascular care. She has authored over 150 peer-reviewed publications in leading journals including The Lancet, JAMA, BMJ, Circulation, and JACC, with her work cited more than 50,000 times. Dr. Lu has received numerous honors including the 2022 John H. Laragh Research Award from the American Journal of Hypertension, and is a Fellow of both the American Heart Association and the American College of Cardiology. She currently serves as an Executive Associate Editor at JACC and has been recognized by Yale's Office of Health Equity Research for her contributions to health equity research. As a mentor, Dr. Lu advises multiple postdoctoral fellows, graduate students, and medical students. She has successfully completed an NHLBI K12 career development award and currently leads an NIH R01 grant focused on generating real-world evidence for hypertension treatment. Her collaborative work extends internationally, including groundbreaking projects between Yale University and the Chinese National Center for Cardiovascular Diseases in Beijing, such as the Millions Persons Project that assembles population health resources from 5 million individuals across China. Dr. Lu is actively involved with the Yale/YNHH Center for Outcomes Research and Evaluation (CORE), contributing to its mission of improving quality, transparency, and equity in healthcare. Her work exemplifies CORE's commitment to applying human-centered design, methodological rigor, and clinical insight to address pressing healthcare challenges.

• Cardiovascular Diseases
• Chronic Disease
• Epidemiology Methods
• +7 more

Prof. Dr. Aaron Leander Haußmann serves as Professor of Business Administration, specializing in Marketing and Sales, at the Baden-Württemberg Cooperative State University (DHBW) Villingen-Schwenningen since July 2021. He concurrently holds the position of Site Representative for the business field at the Center for Advanced Studies (DHBW CAS) since February 2022, demonstrating dual leadership in academic and institutional development. Haußmann earned his Diploma in International Business Administration from Furtwangen University (2008) with a specialization in Marketing and a study period at Tongji University, Shanghai. He completed his doctoral studies externally through the University of Latvia, Riga, and the University of Salzburg Business School (2012-2016), producing the award-winning dissertation The Impact of Brand Images on the Purchasing Behavior of Business-to-Business Market Participants . His research program centers on Business-to-Business marketing dynamics, with emphasis on emotional and rational dimensions of brand perception in organizational contexts. Key investigations include how brand images influence purchasing decisions, the interplay between brand emotions and buying relevance, and strategic management of multi-brand architectures in complex B2B environments. His work bridges theoretical frameworks with practical applications in sales management and marketing automation. Analysis of his 2014-2017 publications reveals consistent focus on B2B brand psychology, demonstrating evolution from foundational studies on brand emotion measurement toward sophisticated examinations of brand portfolio strategy in digital environments. His research trajectory shows increasing complexity in addressing organizational buying behavior through integrated emotional-rational models. Haußmann has received significant recognition including the Award of Research Excellence for his doctoral work and a Best Paper Award for his pioneering research on brand emotions in B2B contexts. Prior to academia, he held progressive executive roles at MTU Friedrichshafen GmbH and Rolls-Royce, accumulating 13 years of industry experience in sales leadership, business development, and strategic management that directly informs his applied research approach. His teaching portfolio spans Marketing, Customer Behavior, Sales Controlling, International Marketing Strategy, and Marketing Case Studies.

• B2B Marketing
• Consumer Behavior
• Organizational Purchasing Behavior
• +3 more

Jing Yang is a full Professor and Director of MS CS Program in the Computer Science Department at the University of North Carolina at Charlotte (UNCC). She has been actively involved in data visualization and visual analytics research since joining UNCC in 2005 after completing her PhD at Worcester Polytechnic Institute. Dr. Yang earned her Bachelor's degrees in Engineering Mechanics and Computer Science from TsingHua University in 1997 and completed her Ph.D. in Computer Science from Worcester Polytechnic Institute in May 2005 under advisors Matthew O. Ward and Elke A. Rundensteiner. Her research focuses on developing visual analytics techniques for abstract data including multidimensional data, time-oriented data, networks, hierarchies, text documents, and trajectory data. She conducts design studies for application domains such as sports, bioinformatics, finance, network security, and health, while exploring fundamental visualization topics like interactions, insight management, clustering-based approaches, and animations. Her recent work emphasizes sports analytics, urban data, and multivariate time series visual analytics. Analysis of Dr. Yang's publication record reveals a strong focus on practical applications of visualization techniques across diverse domains. Her work consistently bridges theoretical visualization frameworks with real-world data challenges, particularly in transportation (taxi trajectories), sports (tennis match analysis), financial transactions, and bioinformatics. The publications demonstrate an evolution from foundational visualization techniques to increasingly sophisticated domain-specific applications. Dr. Yang has secured substantial research funding from NSF, EPA, DHS, and industry partners including Google and Bank of America. Her grants portfolio includes significant projects like TrajAnalytics (NSF, $200,950), Visualizing Event Dynamics (NSF EAGER, $75,317), and Visualizing High Dimensional Categorical Datasets (Google Faculty Research Award, $60,000), among others totaling over $4 million in research support. As an educator, Dr. Yang has taught numerous courses including Visual Analytics, Information Visualization, and Database Design. She directs the Charlotte Visualization Center and has mentored numerous students through research projects. Her collaborative approach is evident in her extensive co-authorship network spanning multiple institutions and disciplines. Current research directions include narrative animation for streaming text visualization and advanced techniques for exploring high-dimensional categorical datasets.

• Data Visualization
• Visual Analytics
• High Dimensional Data Analysis
• +7 more

Jason Hsu is an Adjunct Professor of Finance at the Anderson School of Management, UCLA , where he teaches Financial Policy for Managers and Quantitative Asset Management. He is also a founder, chairman, and CIO of Rayliant Global Advisors, co-founder of Research Affiliates, and non-executive chairman of Henderson Rowe in the UK. Ph.D. in Finance (2005), UCLA Anderson School of Management M.Sc., Stanford University B.Sc. summa cum laude, California Institute of Technology His research focuses on cross-sectional equity anomalies, international finance, asset return predictability, and smart beta strategies . He has pioneered innovations in quantitative asset management , including contributions to risk parity and factor investing . His work bridges theoretical finance with practical implementation in emerging markets like China . With over 40 peer-reviewed publications, his recent articles explore topics like Chinese A-Shares, ESG investing, and quality factors . His work has been recognized with multiple CFA Institute Graham & Dodd Scroll Awards and William Sharpe Awards for excellence in indexing and quantitative finance. 2016 CFA Graham and Dodd Scroll Award 2015 & 2013 William Sharpe Awards 2013 Jacobs-Levy/Fabozzi-Bernstein Outstanding Paper Award 2012 Financial Analyst Journal Reader's Choice Award Hsu’s career spans academia, asset management innovation, and editorial leadership for journals like the Journal of Investment Management . He actively contributes to global financial discourse as a columnist for Caixin Media.

• Asset Allocation
• China
• Factor Investing
• +5 more

Kalina Bontcheva is a Senior Researcher in the Natural Language Processing Group within the Department of Computer Science at the University of Sheffield. She holds an EPSRC Career Acceleration Fellowship (working part-time since October 2015) focused on personalized summarization of social media content. Her research spans multiple EU-funded projects including PHEME (computing veracity of social media), TrendMiner, DecarboNet, and uComp, with significant contributions to the GATE (General Architecture for Text Engineering) open-source NLP infrastructure since 1999. Dr. Bontcheva's research interests focus on the intersection of natural language processing and social media analysis. Her work encompasses NLP for social media, semantic search, information extraction from social platforms, crowdsourcing of NLP corpora, collaborative text annotation, semantic technologies, and text mining and analytics. She has particular expertise in developing methods for personalized, abstractive multi-document summarization across different social media platforms, addressing the challenges of noisy, jargon-filled and dynamic content. Her interdisciplinary approach combines machine learning, semantic technologies, and social dimension analysis to create systems that adapt to individual users' information seeking goals. Analysis of her recent publications reveals a strong focus on social media processing challenges, with emphasis on Twitter analysis, temporal expression recognition, and handling noisy text. Her work consistently addresses the unique characteristics of social media content and develops specialized techniques for information extraction, sentiment analysis, and user geolocation within these platforms. The GATE framework serves as the foundation for much of her tool development, demonstrating her commitment to creating reusable, open-source NLP infrastructure. Her most significant award is the EPSRC Career Acceleration Fellowship, which supports her work on personalized social media summarization. This prestigious fellowship includes a substantial budget of £560k and involves collaborations with industry partners including The Press Association, British Telecom, and Fizzback. Dr. Bontcheva has led numerous major research projects throughout her career. She was Principal Investigator on three EU-funded projects (MUSING, TAO, and ServiceFinder) between 2006-2009, coordinating the TAO consortium with seven partner institutions. She currently leads the PHEME EU project and serves as PI for TrendMiner and DecarboNet European projects, while also contributing as Co-I on the uComp project. Her project portfolio demonstrates consistent success in securing competitive research funding across multiple domains within NLP and semantic technologies. She works within the Natural Language Processing Group at the University of Sheffield, which has been central to the development of the GATE infrastructure. Her work connects with various initiatives including the GATE Cloud platform and the TextVRE project for e-humanities textual studies. She has established collaborations with organizations including the Press Association, British Telecom, Oxford Internet Institute, and Sheffield's Department of Journalism to ensure her research addresses real-world needs across different user communities.

• NLP for social media
• semantic search
• GATE infrastructure
• +8 more

Dr Stefano Pagliari is Senior Lecturer in the Department of International Politics at City St George’s, University of London, where he has taught since July 2013. Previously he was Fellow in International Political Economy in the International Relations Department at the London School of Economics and a Visiting Scholar at Columbia University’s Initiative for Policy Dialogue. Research Focus Pagliari’s scholarship sits at the intersection of international political economy and the political economy of financial regulation . His work dissects how financial industry lobbying shapes rules governing OTC derivatives, hedge funds, rating agencies and banking; how EU-US diplomacy calibrates cross-border standards; and how institutions such as the Financial Stability Board and IOSCO orchestrate global governance. Key Themes in Recent Publications Across more than 35 peer-reviewed articles and chapters since 2009, three dominant threads emerge: the mechanisms through which non-financial corporations ally with Wall Street in regulatory battles; the diffusion of financialization into firms’ policy preferences via asset ownership; the post-crisis redesign of international standards and the political contestation surrounding implementation. These studies rely on innovative text-reuse and network-analytic methods to trace lobbying coalitions and policy feedback loops. Teaching & Doctoral Supervision At City he teaches undergraduate modules on Governance and Economic Diplomacy and postgraduate courses on International Financial Institutions and Economic Diplomacy . He welcomes doctoral researchers working on the politics of international money and finance, the regulatory policymaking process, and global financial governance.

• International Political Economy
• Political Economy of Financial Regulation
• Financial Industry Lobbying and Regulatory Capture
• +7 more

Christine Van Toorn is a Senior Lecturer at the University of New South Wales (UNSW) Business School, within the School of Information Systems and Technology Management. Her research focuses on the intersection of human-computer interaction, business analytics, and environmental sustainability, with an emphasis on how digital tools enable organizational ambidexterity and continuous innovation. Affiliation: University of New South Wales Academic Rank: Senior Lecturer Research Themes: Business analytics, digital transformation, gamification, knowledge management, and sustainable information systems Van Toorn's recent work explores the role of business analytics in balancing exploration and exploitation for sustainability, and the evolving competencies of Chief Information Officers (CIOs) in the post-pandemic era. She has also investigated the integration of United Nations Sustainability Development Goals (SDGs) into information systems curricula and the application of generative AI in educational knowledge management. Her publications span journals like Information Systems Journal , Behaviour and Information Technology , and Information and Management , alongside conference proceedings at PACIS and ECIS. Van Toorn serves on the UNSW Co-operative Scholarship Sponsor Steering Committee and is an Associate Member of the Australian Society of CPAs and ISACA (Information Systems Audit and Control Association).

• Information Systems
• Business Analytics
• Environmental Sustainability
• +5 more

Associate Professor Jonathan Ziveyi is an academic at the UNSW Business School , where he serves as an Associate Head in the School of Risk and Actuarial Studies . He holds a PhD in Quantitative Finance from the University of Technology Sydney and has published extensively in journals like Insurance: Mathematics and Economics and Quantitative Finance . Education PhD in Finance, University of Technology Sydney Graduate Certificate in University Learning and Teaching, UNSW Sydney BSc (Hons) in Applied Mathematics, National University of Science and Technology, Zimbabwe His research focuses on longevity risk management , valuation of guarantees in variable annuities , and option pricing under stochastic volatility . Recent work includes pooled annuity smoothing, hybrid insurance-product designs, and mortality forecasting with stacked regression ensembles. His publications span affine mortality models , regime-switching frameworks , and machine learning applications in actuarial contexts. Key topics include guaranteed minimum withdrawal benefits, longevity bonds, and tax implications in insurance contracts. Grants & Awards Australian Research Council Grant (2021–2023, AUD386,139) Society of Actuaries Grant (2017–2020, US$248,278) Multiple UNSW Business School linkage and research grants Vice Chancellor’s Prize for First-Class Degree (2005) International Postgraduate Research Scholarship (2007) He supervises PhD students including Samuel Thirurajah , Gayani Thalagoda , and Yawei Wang . His teaching includes courses on Asset-Liability Models and Financial Economics for Insurance .

• Quantitative Finance
• Actuarial Science
• Longevity Risk Management
• +4 more

Dr. Alireza Ahmadian Fard Fini is an Associate Professor at the University of Technology Sydney within the Faculty of Design and Society. With over 23 years of experience in the construction industry, his work bridges professional practice, teaching, and research, focusing on construction automation and workforce management . His research aims to enhance construction productivity through digital technologies and personalized workforce solutions. Education: PhD, University of New South Wales, Australia MEng, University of Calgary, Canada MSc, Iran University of Science and Technology, Iran BSc, Shiraz University, Iran Dr. Fini’s research spans construction automation (off-site processes, digital integration) and workforce management (skill development, safety). His recent publications highlight deep learning applications for progress monitoring, drone technology in material handling, and sustainable practices in timber construction. Collaborative projects with industry partners emphasize data analytics and cloud-based deployment for practical outcomes. Scientific grants include the CRC-P Industrialization of Nail-Laminated Timber , Beverly Homes’ Industrialization of Dowel Laminated Timber , and Edwards Scholarship for prefabricated timber systems . His teaching portfolio includes Design Team Management , Site Establishment , and Time Management at UTS. Future work will focus on standardizing timber panel stability , expanding UAV applications , and aligning mental health research with policy frameworks.

• Construction Automation
• Workforce Management
• Digital Technologies in Construction
• +3 more

Anna Calamia is an Associate Professor in the Department of Economics-Finance at TBS Education, with institutional presence across multiple campuses including Toulouse, Paris, Barcelona, Casablanca, London, and remote learning options. She maintains an active research profile in financial economics with particular specialization in exchange-traded funds and market structure. Her research program focuses on critical aspects of modern financial markets: Exchange-Traded Fund (ETF) market dynamics and price formation Liquidity provision mechanisms in European ETF markets Market microstructure theory with empirical validation Asset pricing efficiency and information flow Risk management applications in derivatives markets Financial market regulation implications Professor Calamia's publication record spans over two decades, with her most recent work (2024) examining ETF characteristics and price informativeness alongside methodological considerations in financial research. Her body of work demonstrates consistent contribution to understanding ETF market structure, particularly through theoretical frameworks validated with empirical evidence from European markets. She actively contributes to academic discourse through her publications in finance and maintains professional connections via LinkedIn as indicated in her faculty profile.

• Finance
• Economics
• ETFs
• +4 more

Dr. Bora KURTULUŞ is an Assistant Professor at Dogus University’s Faculty of Economics and Administrative Sciences, Department of Economics, since 2001. He holds a PhD and MA in Econometrics from Istanbul University and specializes in econometrics, statistics, and time series analysis. His teaching focuses on quantitative methods, statistics, and econometrics. Education: PhD (Istanbul University, 2009), MA (Istanbul University, 2002), BA (Istanbul University, 1999) His research includes taxation impacts on growth, socio-economic factors in department satisfaction, and risk modeling in global/local markets. Administrative roles include serving as Program Chairman (2010–2014) and Deputy Director (2014–2022). He has authored/co-authored peer-reviewed journals and books like İstihdamın Kadın Yüzü (2023) and COVID-19 Pandemi Gölgesinde Uluslararası İşletmecilik (2022).

• Econometrics
• Time Series Analysis
• Statistics
• +3 more