Find Academic Supervisors

• Digital Humanities
• Historical Auxiliary Sciences
• Medieval History
• +5 more

Georg Vogeler is Professor of Digital Humanities at the Institute for Digital Humanities, Faculty of Humanities, University of Graz. He leads research in digital scholarly editing, digital diplomatics, and semantic technologies in humanities. He is also associated with the Austrian Centre for Digital Humanities of the Austrian Academy of Sciences, where he served as Scientific Director from 2018 to 2022. Professor, Center for Information Modeling, University of Graz (since 2016) Scientific Director, Austrian Centre for Digital Humanities (2018–2022) Member, Profile Area 'Dimensions of Europe', University of Graz Participant, Research Network 'Human Factor in Digital Transformation' Georg Vogeler's research centers on the intersection of digital technologies and historical scholarship. His work emphasizes digital diplomatics , digital editing , and the application of semantic web technologies to medieval sources. He specializes in late medieval financial records and the administrative practices of Emperor Frederick II. His methodological focus includes information modeling and digital infrastructure for humanities scholarship. The recent publications reflect a strong trend in rethinking traditional scholarly editing through digital methods. His work bridges historical auxiliary sciences with computational approaches, emphasizing structured data, distant reading, and machine-actionable editions. Keywords across his articles include digital humanities, medieval history, scholarly editing, and semantic modeling, with subfields such as text encoding, document analysis, and digital philology. Scientific Awards: No awards explicitly listed. Advising and Grants: Supervised Master’s thesis by Toni Büchel (University of Vienna, 2021–2022) Doctoral supervisor for Frederike Neuber (2017–2018) Principal Investigator, FWF-funded project 'The Reichstag of 1576' (2018–2022) Principal Investigator, EU-funded project 'From Digital to Distant Diplomatics' (2022–2026) Involved in international digital publishing infrastructure projects with Stanford and University of Virginia Labs, Teams, and Research Groups: Georg Vogeler is affiliated with the Center for Information Modeling at the University of Graz and has led major collaborative efforts in digital humanities. He participates in the 'Human Factor in Digital Transformation' research network and contributes to international initiatives such as the TEI Consortium, Biblissima, and COST-Action CA16204. He is a co-editor of key book series and serves on editorial boards, indicating strong integration into global digital humanities communities.

Rohit S. DeoView profile

Professor

• Statistics
• Econometrics
• Time Series Analysis
• +6 more

Rohit S. Deo is the Dean of the Undergraduate College and Professor of Statistics at the Leonard N. Stern School of Business, New York University. He also holds the title of Distinguished Service Professor of Business and has been a key academic leader at NYU Stern since 1995. He previously served as Vice Dean of the Undergraduate College (2012–2018) and Chair of the Department of Technology, Operations, and Statistics (2018–2024), as well as Director of the NYU Stern-NYU Shanghai Programs. Education: Ph.D. in Statistics, Iowa State University, 1995 M.S. in Statistics, University of Poona, 1990 B.S. in Statistics, Fergusson College, 1988 Professor Deo's research centers on statistical and econometric methodologies with applications in business and economics. His primary interests include time series analysis, stochastic volatility modeling, and econometric theory. He has made significant contributions to the development and application of models for financial and economic data. His teaching spans data analysis, machine learning, and forecasting of time series, reflecting his expertise in quantitative methods. He has served as an Associate Editor for several top-tier journals, including the Journal of the American Statistical Association , Journal of Business and Economic Statistics , and The American Statistician , underscoring his standing in the statistical community. Scientific Awards and Honors: Econometric Theory Multa Scripsit Award NYU Distinguished Teaching Award Great Professor Award, Executive MBA programme Professor of the Year Award in the full-time MBA programme Professor Deo has advised numerous students and contributed to curriculum development, particularly in quantitative disciplines. While specific grants are not listed, his sustained research output and leadership roles suggest extensive engagement with academic and institutional funding. He has also played a pivotal role in international academic initiatives through the NYU Stern-NYU Shanghai Programs. He is affiliated with the Department of Technology, Operations, and Statistics, where he continues to influence research, education, and academic policy at one of the leading business schools in the world.

Kwaku Ohene-AsareView profile

Lecturer

• Business Analytics
• Management Science
• Artificial Intelligence
• +16 more

Kwaku Ohene-Asare is a Lecturer in Business Analytics at De Montfort University, UK, within the School of Leadership, Management and Marketing. He holds a PhD in Operational Research and Management Science from the University of Warwick, an MSc in Economics and Finance (with distinction) from Loughborough University, and a BSc in Economics (first-class honors) from the University of Ghana-Legon. He also completed a certificate in Decision Science and Machine Learning at MIT, USA. He has held visiting professorships at Warwick University and Stellenbosch University and plays a senior lecturer role at the University of Ghana. His educational background includes: PhD in Operational Research and Management Science, University of Warwick, UK (2012) MA in Decision Science and Machine Learning, MIT, USA MSc in Economics and Finance, Loughborough University, UK (Distinction) BSc in Economics, University of Ghana-Legon (First Class) PGCAP (Part 1), University of Warwick, UK (2009) Certificate in Nonparametric & Bootstrap Methods, Sapienza University of Rome, Italy (2012) Kwaku's research interests span business analytics, management science, artificial intelligence, data science, machine learning, economic efficiency, productivity analysis, data envelopment analysis (DEA), stochastic frontier econometrics, and their applications in energy, finance, insurance, and credit unions. He has developed a research-based DEA course at the University of Ghana and pioneered the advanced quantitative research methods course for PhD students since 2015. His work integrates cutting-edge computational techniques and econometric modeling to address real-world economic and business challenges. The recent trend in his publications shows a strong focus on efficiency and productivity analysis across sectors—particularly in energy, banking, and insurance—using advanced non-parametric and parametric methods. He frequently applies DEA, Malmquist indices, and stochastic frontier models to assess performance in African and ECOWAS economies, with a growing emphasis on sustainability, undesirable outputs, and dynamic efficiency. His work bridges theoretical rigor with practical policy implications. His scientific awards include: Global Leadership Award (2021) DFID Shared Scholarship Scheme Award (2004) Doctoral Research Scholarship, Warwick Business School (2007) He has received multiple research grants, primarily from the University of Ghana Business School (UGBS), as Principal Investigator, including projects on data science and machine learning, energy productivity, banking efficiency, and multinational operations. He has supervised PhD students through course development and research mentorship. His consultancy work includes efficiency analysis for the National Petroleum Authority, Ghana, and market entry feasibility studies for international firms. He is affiliated with the Centre for Enterprise and Innovation (CEI), the Institute for Sustainable Economics, and the Institute of Energy and Sustainable Development (IESD) at DMU, where he contributes to interdisciplinary research on sustainable economic development. He is an active member of professional societies including the Operational Research Society (UK), INFORMS, Association of European Operational Research Societies, British Academy of Management, Productivity Analysis Research Network (USA), and the Economic Society of Ghana.

Giuseppe CavaliereView profile

Professor

• Time Series Econometrics
• Financial Econometrics
• Statistical Inference
• +3 more

Giuseppe Cavaliere is a Full Professor of Econometrics at the University of Bologna (since 2006) and a Distinguished Research Professor at Exeter Business School. He holds affiliations with the University of Copenhagen and Aarhus University. His research focuses on time series econometrics, financial econometrics, statistical inference, and empirical macroeconomics. He serves as co-editor of the Journal of Econometrics and associate editor of the Journal of Time Series Analysis. Key roles include being an Elected Fellow of the International Association for Applied Econometrics (IAAE), Fellow of the Journal of Econometrics, and Research Fellow of the Granger Centre for Time Series Econometrics. He previously served as President of the Italian Econometric Association (SIdE). His publications appear in top journals like Econometrica, Annals of Statistics, and Journal of Econometrics. Current research emphasizes bootstrap inference, cointegration, and volatility modeling in nonstationary environments. His work addresses challenges in econometric theory, financial data analysis, and macroeconomic policy evaluation. Awards and recognitions highlight his contributions to econometric methodology and its applications in finance and macroeconomics. His advisory and editorial roles reflect his influence in shaping the field's theoretical and practical advancements.

• Household Finance
• Portfolio Choice
• Financial Advisors
• +6 more

Stephen G. Dimmock is a Professor in the Department of Finance at the National University of Singapore (NUS) Business School and a fellow of the Asian Bureau of Finance and Economics Research. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and a Bachelor of Commerce from the University of Saskatchewan. Research Interests: Household Finance Portfolio Choice Financial Misconduct Behavioral Finance Endowment Fund Management Capital Gains Taxation Publications reveal expertise in financial advisor misconduct, portfolio underdiversification, H-1B visa impacts on entrepreneurship, and regulatory oversight of hedge funds. His work appears in journals like the American Economic Review, Journal of Finance, and Management Science. Scientific Awards: Best paper awards at leading international conferences Multiple teaching awards at NUS Teaching: Dr. Dimmock has taught investments, fixed income, and options courses at MBA, MSc, and undergraduate levels.

Gonzalo NápolesView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Cognitive Science
• +5 more

Gonzalo Nápoles is an Assistant Professor at Tilburg University's School of Humanities and Digital Sciences, Department of Cognitive Science and AI. He holds a Doctoral Degree in Computer Science from Rough Cognitive Networks (2014–2017). His research focuses on AI applications in cognitive modeling, pattern classification, and neural networks with interdisciplinary applications in healthcare, finance, and social sciences. Key research areas include Fuzzy Cognitive Maps, data augmentation techniques for neuroimaging, and interpretable machine learning systems. He actively contributes to UN Sustainable Development Goals related to education and innovation. Recent work explores AI ethics, financial risk assessment using dynamic networks, and sensory processing disorder analysis through neural networks. Education: Doctoral Degree in Computer Science, 2017 (Thesis: Rough Cognitive Networks) Prize-winning research includes Best Paper Awards at CIARP 2021 and IWAIPR 2023. He collaborates internationally, hosting academic visitors and serving on multiple PhD committees. Current projects involve stock prediction using graph neural networks and fMRI data augmentation methodologies. Awards: Best Paper Award - CIARP 2021 Best Paper Award - IWAIPR 2023 Nápoles advises on PhD theses in cognitive science and AI applications. His work bridges theoretical advancements with practical implementations in healthcare, finance, and urban systems.

• Asset Pricing
• Capital Markets
• Financial Innovation
• +7 more

Prof. HU Jianfeng is an Associate Professor of Finance at the Lee Kong Chian School of Business, Singapore Management University. He holds a Ph.D. in Finance from Baruch College, CUNY. His research focuses on asset pricing, capital markets, financial innovation, fintech, and quantitative finance. Notable contributions include studies on option trading's informational role, macro-news embargoes, and order flow volatility's impact on equity costs. Selected awards include the Lee Kong Chian Fellowship (2016-2017) and multiple best paper awards. He has secured research grants totaling over S$140k, including MOE Tier 1 funding for projects on order flow volatility and fiduciary duties. His work has appeared in top journals like the Journal of Financial Economics and Management Science. As a researcher and educator, HU advises students such as ZHONG Yiqiang. His research interests span strategic priorities like digital transformation and growth in Asia, reflecting Singapore's financial hub dynamics.

Bettina NissenView profile

Lecturer

• Research through Design
• Designing with Data
• Data Engagement
• +7 more

Bettina Nissen is a Lecturer in Interaction Design and Programme Director for Design Informatics at the University of Edinburgh's School of Design within Edinburgh College of Art. Her position bridges academic teaching and research with practical applications in data-driven design. She directs the Design Informatics MA program while maintaining an active research profile through the Institute for Design Informatics. Dr. Nissen's research interests focus on making complex technological concepts accessible through tangible means. Her expertise spans Research through Design , Data Physicalisation , Digital Fabrication , and Designing with Data . She explores how physical representations of data can enhance understanding and engagement with complex systems, particularly in contexts of trust, consent, and economic value. Her recent publications reveal a strong trajectory toward community-centered approaches to data governance and indigenous knowledge systems. The work shows increasing engagement with decolonial design methodologies, more-than-human interactions, and feminist economic perspectives on technology. A notable pattern emerges in her focus on tangible interfaces for abstract concepts like blockchain, trust, and value systems. Best paper award at CHI 2024 for "Cosmovision of data: An indigenous approach to technologies for self-determination" Dr. Nissen currently supervises three PhD students (Yifei Li, Carlos Guerrero Millan, and Yixun Li) and has secured funding from multiple prestigious sources including AHRC, EPSRC, ESRC, and EU programs. Her research projects include PACTMAN (EPSRC-funded work on trust in pervasive environments), After Money (ESRC-funded collaboration with Royal Bank of Scotland), Crypto-Knitting with People's Bank of Govanhill, DCODE (EU-funded network), REPHRAIN research center, and the VisHub visualization laboratory. She actively participates in interdisciplinary research communities through the Visual+Interactive Data group and the Regulation and Design (RAD) Lab, fostering collaborations between design, technology, and policy domains.

• Finance
• Financial Economics
• Cryptocurrencies
• +5 more

Rui Manuel Teixeira Santos Dias is a Postdoctoral Fellow in Finance at the State University of Feira de Santana (Brazil) , affiliated with the Department of Exact Sciences. His work bridges finance, econophysics, and sustainability, focusing on market efficiency, cryptocurrency dynamics, clean energy investments, and commodity market interdependencies. Education : PhD in Management (University of Évora, Portugal), DEA in Financial Economics (University of Extremadura, Spain) Research Themes : Cryptocurrency markets, sustainable finance, portfolio optimization, oil-currency nexus, and behavioral finance His recent articles analyze multifractal efficiency in green investing, cross-market contagion, and the role of precious metals as safe havens in clean energy portfolios. Publications span journals like Fractals , PLOS ONE , and Energy Procedia , with a strong emphasis on quantitative and econophysics approaches. No explicit scientific awards are mentioned in the provided data.

Helen ArmstrongView profile

Professor

• Inclusive Design
• Machine Learning
• Digital Rights
• +3 more

Helen Armstrong serves as Professor of Graphic & Experience Design and Director of the Graduate Program in Graphic & Experience Design at North Carolina State University's College of Design. Her academic leadership spans research, publication, and industry collaboration at the intersection of design and artificial intelligence. Her educational background includes an MA in English Literature from The University of Mississippi, an MA in Publication Design from the University of Baltimore, and an MFA in Graphic Design from The Maryland Institute College of Art. Armstrong's research focuses on digital rights, human-machine teaming, and accessible design, driven by her advocacy for inclusive interfaces as a parent of a child with disabilities. She explores how designers can establish leadership in AI development through human-centered approaches, particularly in explainable AI systems and trust calibration between humans and machines. Analysis of her recent publications reveals a dominant trend toward applying design principles to artificial intelligence challenges, with increasing emphasis on visualization techniques for uncertainty representation, ethical considerations in AI, and inclusive design methodologies. Her work consistently bridges theoretical frameworks with practical industry applications across diverse domains including intelligence analysis, financial services, and assistive technologies. Scientific recognition includes: University Faculty Scholar at NC State (2018) Armstrong actively mentors graduate and undergraduate students through studio courses and research projects while securing substantial industry funding. Her sponsored research portfolio features partnerships with SAS Analytics, IBM, REI, Advance Auto Parts, Sealed Air, Fidelity Investments, and the Laboratory for Analytic Sciences. Current projects address critical challenges in human-AI teaming, including visualizing confidence scores for speaker models, knowledge transfer in wealth management, and personalized shopping experiences. She maintains deep collaboration with the NC State Laboratory for Analytic Sciences (LAS) and contributes to the K-12 Design Lab initiative, extending her expertise in inclusive design to educational outreach programs and community engagement efforts.

Efthymia SymitsiView profile

Associate Professor

• Corporate Finance
• Labor Economics
• Entrepreneurship
• +6 more

Dr. Efthymia Symitsi serves as Associate Professor of Accounting and Finance at Leeds University Business School, University of Leeds, a position held since September 2018. Previously, she was Senior Research Associate on the TILOS Project at Norwich Business School and maintains banking sector experience from Agricultural Bank and Piraeus Bank in Greece. Her responsibilities include Deputy Director of the PhD Accounting and Finance program and Faculty Equality and Inclusion Champion. Her academic credentials comprise: PhD in Finance, University of East Anglia, UK MSc in Accounting and Finance, Athens University of Economics and Business, Greece BSc in Management Science and Technology, Athens University of Economics and Business, Greece Dr. Symitsi's research spans Corporate Finance, Labor Economics, Entrepreneurship, Risk Management, and Financial Technology. She pioneers the use of online employee data to analyze corporate behavior and financial markets, with notable work on employee sentiment indices for economic prediction and corporate social responsibility reporting frameworks. Analysis of her publications reveals consistent innovation in alternative data applications: employee reviews predict stock returns and bankruptcy risk, cultural factors influence service evaluations, and cryptocurrency interactions with traditional assets are quantified. Her work bridges academic rigor with real-world financial applications through media-engaged scholarship. Her scientific recognition includes: Azduna data project (£35k) as Q-step RA Placement Project Leader Best Seminar Leader Award (PG) Small Research Grant, LUBS (£4,048) Doctoral Scholarship from University of East Anglia American Finance Association Student Travel Grant Greek Ministry of Education and Athens University academic excellence scholarships Dr. Symitsi actively supervises PhD candidates including Wanji Wu, Argyro Angeli, Yuxuan Liu (Sandy), and Wen Yang. She leads research initiatives funded by LUBS and Urban Big Data Centre grants while teaching undergraduate Corporate Finance modules. Her external role as External Examiner for Manchester Business School's MSc Financial Management demonstrates sector-wide influence. She contributes significantly to the Centre for Advanced Studies in Finance and Centre for Employment Relations, Innovation and Change, driving interdisciplinary research at the finance-employment nexus.

Liu HongyanView profile

Professor

• Big data management and analysis
• machine learning
• data mining
• +7 more

Professor Liu Hongyan is a full-time Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management, where he has served since 1994, achieving the rank of Professor in 2011 after previously holding positions as Associate Professor (2003-2011) and Teacher. His research bridges theoretical data science with practical applications across e-commerce, healthcare, and social media platforms. Education: PhD in Management, School of Economics and Management, Tsinghua University (2001) His research focuses on big data management , machine learning , and business intelligence with specialized expertise in personalized recommendation systems , medical/financial data analysis , and computer vision applications . Recent work integrates large language models and causal inference to solve complex problems in short video platforms, live streaming, and healthcare analytics, emphasizing real-world impact through industry collaborations. Analysis of his 15 most recent publications (2023-2025) reveals a strong trajectory toward multimodal AI systems combining recommendation engines with computer vision, particularly in 3D animation for advertising and healthcare. Key trends include LLM-enhanced display advertising, emotion-aware facial animation, and medical image annotation using adversarial learning, while maintaining core contributions to behavioral data mining in social networks. Scientific recognition includes: National Archives Administration's Outstanding Scientific and Technological Achievement Award Multiple Best Paper Awards at international conferences Outstanding Doctoral Dissertation Supervisor designation from the Society for Management Science and Engineering Special Award for National Natural Science Foundation project on user behavior pattern discovery Professor Liu has secured leadership roles in major National Natural Science Foundation projects including Innovation Research Groups and international cooperation initiatives. His industry impact is demonstrated through patented recommendation systems adopted by multiple companies, particularly in personalized content delivery for live streaming and short video platforms. As an Outstanding Doctoral Dissertation Supervisor, he mentors the next generation of data science researchers. He serves as Deputy Director of Tsinghua University's Center for Artificial Intelligence and Management Research and holds key positions in national academic societies including the E-Commerce and Cyberspace Management Committee (China Management Modernization Research Association) and the Information Systems Engineering Committee (Chinese Society for Systems Engineering).

Zhu YanView profile

Professor

• Digital Transformation
• Digital Economy
• Industrial Blockchain
• +4 more

Zhu Yan serves as Professor at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. He concurrently holds leadership positions as Dean of Tsinghua's Internet Industry Research Institute, Director of the Advanced Information Technology Business Application Laboratory, and Executive Deputy Director of the Medical Management Research Center. Education: Postdoctoral Fellow (1998-2000) and Ph.D. in Nuclear Energy Technology (1994-1998) at Tsinghua University, Bachelor's in Engineering Physics (1989-1994) Professional Experience: Professor (2010-present), Associate Professor (2002-2010), Lecturer (2000-2002); Visiting Scholar at MIT Sloan, CUHK, and Lancelot Institute Professor Zhu's research spans digital transformation , industrial blockchain , and digital production relations , with emphasis on practical applications in healthcare, construction, and finance. His work bridges theoretical frameworks with industry implementation, particularly in China's digital economy evolution. Current projects focus on industrial internet integration and digital finance systems. His 15 most recent publications demonstrate strong interdisciplinary focus, connecting information systems with healthcare analytics (40%), industrial digitalization (35%), and economic policy (25%). The research shows increasing emphasis on AI-driven diagnostic systems and pandemic-responsive economic strategies since 2020. Beijing Philosophy and Social Sciences Excellent Achievement Award (2020) China Petroleum and Chemical Automation Association Science and Technology Progress Award (2010) Multiple Beijing Science and Technology Progress Awards (2001, 2005) Tsinghua University Outstanding Teaching Award (1999) As academic advisor to national initiatives, Professor Zhu leads the China Technology Economics Society's Blockchain Division and serves as Chief Academic Officer for Chengdu University of Information Technology's Blockchain Industry College. His industry partnerships include SAP Global HR Advisory role since 2000 and CCTV Financial Commentary position since 2015. Current research funding focuses on digital infrastructure development through the Industrial Digital Finance Technology Application Laboratory. He directs the Advanced Information Technology Business Application Laboratory, which develops enterprise digital transformation frameworks, and co-leads the Medical Management Research Center's AI diagnostic initiatives. Current projects include national blockchain infrastructure development and pandemic-resilient supply chain systems.

• Household Finance
• Financial Economics
• Behavioral Economics
• +2 more

Tarun Ramadorai is Professor of Financial Economics at Imperial College London, with a distinguished career spanning household finance, financial economics, behavioral economics, real estate, and international finance. He serves as Executive Editor of the Review of Financial Studies and holds prestigious fellowships including Research Fellow of the Centre for Economic Policy Research (CEPR), Senior Academic Fellow of the Asian Bureau of Finance and Economics Research (ABFER), and Nonresident Senior Fellow at the National Council of Applied Economic Research (NCAER). Education BA in Mathematics and Economics from Williams College MPhil in Economics from the University of Cambridge PhD in Business Economics from Harvard University Research Interests Professor Ramadorai's research spans household finance, financial economics, behavioral economics, real estate, and international finance. His work examines how households make financial decisions across different markets and countries, with particular focus on housing markets, investment behavior, and financial inclusion. He has established himself as a leading expert in international comparative household finance, having previously served as Principal Investigator on a transformational initiative financed by the Sloan Foundation to establish this sub-field of finance and economics. His recent research explores the intersection of technology and personal finance, housing market dynamics, and optimal tax policy. He has demonstrated how housing costs impact fertility decisions, how machine learning affects credit markets, and how privacy policies influence consumer data extraction. His work combines rigorous theoretical frameworks with innovative empirical approaches using large-scale datasets from diverse markets. Publication Trends Professor Ramadorai's recent publications reveal a strong focus on household decision-making in financial markets, with increasing attention to the digital transformation of finance. His work bridges theoretical insights with practical policy implications, particularly in emerging economies. There is a clear trend toward interdisciplinary research that combines finance, economics, and data science to address pressing questions about financial inclusion, housing affordability, and the impact of technology on traditional financial services. Scientific Awards Brattle prize for best paper in the Journal of Finance Jensen prize for the best paper in the Journal of Financial Economics Wharton School-WRDS Best Paper Award in Empirical Finance James A Lebenthal Excellence in Municipal Finance Research Prize FMA Napa Conference Best Paper Prize INQUIRE Europe third prize Viz Risk Management Best paper prize Policy Engagement and Advisory Roles Professor Ramadorai has made significant contributions to policy discussions worldwide. He served as Chairman of the Inter-Regulatory Committee on Household Finance constituted by the Reserve Bank of India, which produced the influential "Indian Household Finance" report. He has advised numerous institutions including the Economic Advisory Council to the Prime Minister of India, the European Securities and Markets Authority, and the Norwegian Sovereign Wealth Fund. Currently, he co-chairs the Fintech workstream of the India-UK Financial Partnership, helping to shape the future of financial technology across borders. Research Initiatives Professor Ramadorai previously led the Initiative on International Comparative Household Finance, funded by the Sloan Foundation, which established household finance as a distinct sub-field of research. He is in the process of setting up a new initiative at Imperial College Business School to further advance this area of study. His work has influenced both academic research and practical policy interventions in financial markets around the world.

• Mathematics Education
• Interactive Multimedia in Teaching
• Educational Technology
• +5 more

Marina Milovanović is a Professor at the University of Singidunum, Faculty of Informatics and Computing, Department of Mathematics. She holds dual doctoral degrees from the Faculty of Science, University of Kragujevac (Department of Mathematics, 2014) and Faculty of Entrepreneurial Business, Union University (2008), along with Master's and Bachelor's degrees from the Faculty of Mathematics, University of Belgrade (2000-2005 and 1995-2000 respectively). Faculty of Science, University of Kragujevac, Department of Mathematics (PhD, 2014) Faculty of Entrepreneurial Business, Union University (PhD, 2008) Faculty of Mathematics, University of Belgrade (Master's, 2000-2005) Faculty of Mathematics, University of Belgrade (Bachelor's, 1995-2000) Svetozar Marković High School, science and mathematics major (1991-1995) Professor Milovanović specializes in Mathematics Education and Educational Technology, with particular expertise in interactive multimedia applications for teaching mathematics. Her research consistently bridges theoretical mathematics with practical educational technology solutions, evolving from traditional multimedia approaches to incorporating cutting-edge AI and machine learning techniques. She has authored multiple books including 'Interactive multimedia in mathematics teaching' (2015) and collections of solved mathematics problems for entrance exams. Her recent publication record through 2025 demonstrates active engagement in interdisciplinary research, particularly at the intersection of educational technology, artificial intelligence, and practical applications in fields ranging from software engineering to medical diagnostics. Her work shows a clear trajectory from foundational educational technology research toward more sophisticated AI-enhanced learning systems. Professor Milovanović has made significant contributions to semantic web applications in education, particularly through Moodle LMS enhancements, and has explored SCADA applications in industrial contexts. Her collaborative research spans multiple countries and institutions, reflecting an international scholarly network. She has extensive experience developing computer tools for engineering education and has published on diverse topics including petroleum industry processes, environmental management, and financial mathematics. Her work demonstrates consistent application of computational approaches to solve domain-specific problems across multiple disciplines.