جست‌وجوی استاد و پژوهشگر

Mustafa Sertمشاهده پروفایل

دانشیار

• Audio Signal Processing
• Machine Learning
• Semantic Multimedia
• +۵ مورد دیگر

Mustafa Sert , currently serving as Associate Professor at Başkent University's Department of Computer Engineering and as Vice Dean of the Faculty of Engineering, has made significant contributions to audio signal processing, machine learning, and semantic multimedia. He earned his PhD (2006), MSc (2001), and BSc (1997) in Computer Engineering from Gazi University, supervised by prominent academics. PhD: Gazi University (2006) MSc: Gazi University (2001) BSc: Gazi University (1997) His research focuses on audio-visual content analysis , multimodal information fusion , and machine learning applications in semantic multimedia systems. He leads projects at the intersection of deep learning , speech processing , and acoustic pattern recognition , with work appearing in venues like IEEE Access, ACM Multimedia conferences, and Signal Processing and Communications Applications Conference (SIU). Recent publications demonstrate trends in automated audio captioning , medical speech analysis , and educational data mining , with applications spanning mental health detection, chatbot development, and reviewer selection systems. His work integrates transformer architectures , convolutional networks , and fuzzy decision-making models . Scientific Recognitions: Best Paper Award (7th Eurasian Congress on Emergency Medicine 2021) Outstanding Reviewer Awards (IEEE ICME 2020, 2021) Outstanding Area Chair Award (ACM Multimedia 2024) Academic Leadership includes roles as Senior IEEE Member, technical committee board positions in IEEE CTSoc divisions, and ACM membership. He supervises over 20 graduate students in topics ranging from depression detection through speech to geothermal permeability estimation , while maintaining active involvement in conference organization and journal reviewing for top-tier publications.

Max Doveyمشاهده پروفایل

مدرس

• Digital Art
• Human-Computer Interaction
• Posthumanism
• +۳ مورد دیگر

Max Dovey is a Lecturer in Brand Experience Design & Emerging Technology at the University of the Arts London, and a Visiting Lecturer at institutions such as Royal College of Art and Anglia Ruskin University. His practice explores computation through live, performative, and embodied art, informed by feminist techno-science and posthuman discourses. Lecturer in Brand Experience Design & Emerging Technology (UAL, 2019–2022) Pathway Leader - MAFA Computational Arts (UAL, 2021–present) Visiting Lecturer (Royal College of Art, 2019–2021) Visiting Lecturer (Anglia Ruskin University, 2018–2019) Researcher (Institute of Network Cultures, 2015–2016) His research investigates 'liveness' in human-computer interaction and the geological materiality of technology. Notable projects include The Treaty of Finsbury Park 2025 (2022) and Cologne, What is Your Mother's Maiden Name? (2019), which employ psychogeography, blockchain, and interspecies politics. Recent publications include State Machines (2019) and Flying Money (2018). He has co-edited symposiums on technology and finance, including MoneyLab, and presented at festivals like Ars Electronica.

• Game Technology
• Game Design
• Serious Games
• +۷ مورد دیگر

Professor Remco Veltkamp holds a faculty position at Utrecht University's Faculty of Science with a focus on Game and Media Technology . As Scientific Director of AI Labs and coordinator of the Utrecht Center for Game Research , his work bridges serious games, virtual reality, and human-centered AI applications. He leads the Dynamics of Youth Hub 'Healthy Play, Better Coping' exploring gaming's role in pediatric chronic illness management. Academic leadership in gaming technology Director of Utrecht's AI Labs Founder of Serious Game Society Editor of International Journal of Serious Games Research spans game design, AR/VR interaction, 3D object recognition, and multimedia systems with applications in: Healthcare gamification Energy conservation Bioinformatics Social behavior analysis Computer vision Recent work includes: 2025: Developing fatigue management therapy games 2024: Analyzing protest dynamics through social media 2023: Creating equine pain assessment systems 2022: Gamification in food sustainability As educator, he teaches Game Programming and Small Project Game and Media Technology , while pioneering applications of gaming in healthcare and education sectors.

Fred Morstatterمشاهده پروفایل

پژوهشگر

• Machine Learning
• Natural Language Processing
• Computational Social Science
• +۳ مورد دیگر

Fred Morstatter is a Research Assistant Professor at the Thomas Lord Department of Computer Science, University of Southern California. He serves as Principal Scientist at the USC Information Sciences Institute and Associate Director for USC Data Science, bridging academia and applied research in AI ethics and social media analysis. Research Interests include: Mitigating algorithmic bias in NLP systems Developing robust social media content analysis frameworks Creating hybrid human-machine forecasting models for geopolitical events Studying causal relationships in online-offline event dynamics Advancing crowdsourcing methodologies with ethical AI Recent Article Trends examine: Temporal knowledge graph forecasting without explicit training data Gender bias quantification in named entity recognition Characterizing misinformation through network analysis Developing fair decision-making attribution mechanisms Mapping moral valence in crisis-related social media discourse Student Supervision includes advising PhD candidates exploring: Implicit biases in LLMs Computational social science Hate speech detection Persuasion modeling in forecasting systems Contact: fred@isi.edu | Google Scholar | USC ISI

• Machine Learning
• Information Retrieval
• Medical Data Analysis
• +۳ مورد دیگر

Ingemar Johansson Cox serves as a Professor within the Machine Learning section at the Department of Computer Science, University of Copenhagen. His research bridges theoretical machine learning foundations with practical applications across medical data analysis, information retrieval, remote sensing, and sustainability initiatives. His research portfolio emphasizes machine learning applications in high-impact domains, particularly medical data analysis (e.g., early detection of gynecological malignancy using online search activity) and sustainability (e.g., reducing AI's carbon footprint). The Machine Learning section actively contributes to the university's SCIENCE AI Centre, focusing on both algorithmic innovation and real-world problem-solving in biological modeling and environmental monitoring. Recent publication trends reveal expanding work in quantum computing applications for biomolecular modeling, sustainable AI frameworks, and cross-cultural NLP systems. His 2024-2025 output demonstrates strong interdisciplinary collaboration, especially in medical informatics and climate-related AI research. Professor Cox operates within the Department of Computer Science's robust research ecosystem, which includes dedicated compute clusters and specialized initiatives like TreeSense for global tree resource monitoring through remote sensing and deep learning. The department's infrastructure supports large-scale machine learning projects requiring significant computational resources.

• Corporate finance
• Financial markets
• Finance and sustainability
• +۲ مورد دیگر

Stefano Ramelli is an Assistant Professor at the University of St. Gallen, affiliated with the SBF-HSG (Swiss Banking Foundation at the University of St. Gallen). His research focuses on corporate finance, financial markets, finance and sustainability, climate finance, and corporate governance. Current affiliation: University of St. Gallen Academic rank: Assistant Professor Dr. Ramelli's research explores the intersection of financial markets and sustainability, with a particular emphasis on green investing, climate activism, and corporate governance. His work has been recognized with multiple awards, including the 2022 Impact Award from the University of Zurich and the 2022 Best Paper Award at the University of Liechtenstein Conference in Sustainable Finance. Recent publications analyze topics such as: Climate transition beliefs and their financial market implications Green investing in political contexts ESG factors during economic crises Market reactions to climate activism Scientific awards and grants: 2022 Impact Award (UN Sustainable Development Goals) 2022 Best Paper Award, Liechtenstein Conference 2019-2020 Research Grant, Zurich Financial Market Regulation Program 2016-2019 oikos PhD Fellowship in Finance and Sustainability Dr. Ramelli has also conducted research on institutional investment behavior during crises and has contributed to understanding the dynamics of low-carbon mutual funds.

Nikolaos Apergisمشاهده پروفایل

استاد

• Macroeconomics
• Open Economy Macroeconomics
• Energy Economics

Dr. Nikolaos Apergis is a Professor at the Department of Finance and Banking Administration, School of Finance and Statistics, University of Piraeus. Specializing in Macrofinance and Energy Economics, he has published over 250 articles and holds a Scopus h-index of 41. Notably, he is ranked as the No. 1 economist in Greece (Repec, February 2020) and serves as Editor of the International Journal of Financial Studies and Energy Research Letters . His research is funded by institutions like the Latsis Foundation, London School of Economics, and Curtin University. Research Interests: His work spans Macroeconomics, Open Economy Macroeconomics, and Energy Economics, with a focus on monetary-fiscal policy interactions, commodity markets, cryptocurrency dynamics, and energy market structures. He employs advanced econometric techniques, including vine copulae, Markov-switching models, and regime-dependent frameworks, to analyze global economic shocks and financial market behavior. Article Trends: His publications emphasize macroeconomic policy responses to crises, energy market dependencies, and financial decision-making under uncertainty. Key themes include volatility asymmetry, sovereign risk, and the role of communication in monetary policy. His collaborations with researchers like Smales and Cooray highlight cross-disciplinary approaches to financial economics. Scientific Awards: Repec ranking: No. 1 economist in Greece (2020), 111th in Europe Editor, International Journal of Financial Studies Editor, Energy Research Letters Advising and Grants: Supervised 150+ Master's theses and 3 PhD theses. Funded by the Latsis Foundation, London School of Economics, and Curtin University for projects on financial markets and energy economics.

ERAY GEMİCİمشاهده پروفایل

دانشیار

• Finance
• Financial Markets
• Investments
• +۵ مورد دیگر

ERAY GEMİCİ serves as an Associate Professor in the Department of Business Administration at Gaziantep University's Faculty of Economics and Administrative Sciences, Turkey. His academic tenure spans from 2015 to present, progressing from Lecturer (2015-2017) to Doctor Lecturer (2017-2021) and current Associate Professor (2021-present). He additionally held significant administrative roles including Deputy Dean (2018-2024) and Department Head (2020). His academic credentials include: Doctorate in Business Administration, Osmaniye Korkut Ata University (2012-2016) Master's in Business Administration, Gaziantep University (2009-2011) Licence in Business Administration, Gaziantep University (2005-2008) His research focuses on Finance, Cryptocurrency, and Risk Management , with emphasis on market efficiency , geopolitical risk transmission , and volatility spillovers . Methodologically, he specializes in quantile regression , Markov switching models , and time series econometrics , frequently analyzing oil-commodity linkages and cryptocurrency dynamics during geopolitical crises. Recent publications (2021-2025) reveal three dominant trends: 1) Cryptocurrency-Bitcoin market interactions with traditional assets, 2) Geopolitical risk impacts on emerging markets (particularly during Russo-Ukraine War and pandemic), and 3) Quantile-based analysis of risk drivers across investment horizons. His work consistently appears in Q1 SSCI journals like Research in International Business and Finance . He has supervised three Master's theses on cryptocurrency-asset relationships and risk appetite modeling. His research capacity is evidenced by seven professional certificates in advanced econometrics, including nonlinear time series and financial econometrics training from İnönü University.

Avi Wohlمشاهده پروفایل

استاد

• Finance
• Asset Pricing
• Market Microstructure
• +۲ مورد دیگر

Avi Wohl is a Professor of Finance at Tel Aviv University's Coller School of Management, where he has maintained an active research career since completing his doctorate at the institution. His scholarly work consistently appears in premier finance journals including the Journal of Finance and Journal of Financial Economics. His academic credentials include: B.Sc. in Mathematics and Computer Sciences from Tel Aviv University M.Sc. in Management Sciences - Operations Research from Tel Aviv University's Faculty of Management Ph.D. in Finance from Tel Aviv University's Faculty of Management Professor Wohl's research demonstrates deep expertise in asset pricing and market microstructure , with significant contributions to understanding liquidity dynamics, mutual fund behavior, and corporate bond markets. His work frequently bridges theoretical finance with empirical market analysis, particularly focusing on the Tel Aviv Stock Exchange (TASE) as a natural laboratory. The interdisciplinary nature of his scholarship is exemplified by his 2022 New England Journal of Medicine publication on COVID-19 vaccine efficacy. Analysis of his publication timeline reveals sustained productivity across five distinct research streams: 1) Liquidity and market microstructure (35% of publications), 2) Mutual fund flows and investor behavior (25%), 3) Corporate finance applications (20%), 4) Behavioral finance phenomena (15%), and 5) Interdisciplinary public health research (5%). His research excellence has been recognized through: Wharton School-WRDS Award for Best Empirical Finance Paper (2009) European Finance Association Prize for best investments paper in Review of Finance (2014) While the source material confirms his active faculty status and extensive publication record, it contains no information regarding doctoral advisees, research grants, laboratory facilities, or collaborative research teams.

• Data Visualization
• Visual Analytics
• Big Data Analysis
• +۱۲ مورد دیگر

Professor Jang Yoon is a faculty member in the Department of Computer Engineering at Sejong University, South Korea. He currently holds the position of Daeyang Distinguished Professor and leads the Data Visualization Lab. His academic journey includes postdoctoral research at the Swiss National Supercomputing Center (2007-2009), ETH Zurich (2009-2011), and Purdue University (2011-2012). His educational background includes a Bachelor's degree from Seoul National University in Electrical Engineering (2000), and Master's and Doctoral degrees from Purdue University in Electrical and Computer Engineering (2002 and 2007). His academic progression at Sejong University shows his appointment as Assistant Professor (2012-2016), Associate Professor (2016-2022), and Professor (2022-present). Professor Jang's research spans multiple domains within data science and visualization, with primary focus on data visualization, visual analytics, and their applications in various domains. His work bridges theoretical computer science with practical applications in traffic analysis, healthcare, and smart city infrastructure. He has developed innovative techniques for spatiotemporal data visualization, volume rendering, and causal analysis in complex datasets. His recent publications (2023-2025) demonstrate a strong focus on integrating deep learning with visualization techniques, particularly in traffic analysis, volume rendering, and large language model interpretability. His work shows a clear trajectory toward combining causal inference with visual analytics, applying these methods to urban traffic systems, structural health monitoring, and public relations analysis. Professor Jang has served in numerous leadership roles in major visualization conferences including IEEE VIS, IEEE PacificVis (as General Chair in 2023), EuroVis, and HCI Korea conferences. His service contributions include program committee memberships and chair positions across multiple prestigious conferences in the visualization field. His laboratory work focuses on practical applications of visualization techniques with numerous patents registered in Korea. His research has resulted in multiple practical systems for traffic analysis, VR sickness detection, data quality improvement, and eye-tracking applications. The lab maintains strong industry connections through applied research projects addressing real-world problems.

Barbara Alemanniمشاهده پروفایل

استاد

• Behavioral Finance
• Asset Management
• Alternative Investments
• +۴ مورد دیگر

Barbara Alemanni serves as an Affiliate Professor of Banking and Insurance at SDA Bocconi School of Management and holds the position of Full Professor of Economics of Financial Intermediaries at the Università di Genova. Previously, she contributed as Faculty member in SDA Bocconi's CEGA and EMBA Master programs (2007-2015) and MBA program (until 2005), later serving as Banking and Insurance Faculty Deputy (2018-2022). Her academic foundation includes a Business Administration degree from Università Bocconi, an MSc in Finance from City University Business School, and completion of the International Teachers Programme in Aix-en-Provence. Professor Alemanni's research centers on behavioral finance, examining how psychological factors drive financial decision-making across asset management, alternative investments, and securities market regulation. Her work investigates investor psychology in sustainable finance contexts, cognitive biases in wealth management, and the disruptive impact of fintech on traditional banking paradigms, with recent emphasis on AI-driven consumer behavior and algorithmic trust dynamics. Her publication portfolio reveals a clear trajectory from foundational behavioral finance principles toward emerging intersections with sustainability and artificial intelligence, demonstrating evolving expertise in ethical investment frameworks and human-AI financial interactions. Professional recognition includes appointment as Economic Advisor to ESMA, editorial board memberships for Finanza, marketing, produzione, Forum Bancaria, and Economia&Management, alongside her scientific advisory role for MEFOP SpA on behavioral welfare initiatives. Through extensive consultancy engagements across European and Asian financial markets, she has collaborated with leading banking institutions and public entities on regulatory frameworks and market development strategies, translating academic insights into industry practice while maintaining active governance roles at Università di Genova and Borsa Italiana.

• Artificial Intelligence
• Decision Making under Uncertainty
• Machine Learning
• +۶ مورد دیگر

Núria Agell Jané is a Full Professor in the Department of Operations, Innovation and Data Science at ESADE Business School. She also serves as a researcher at the ESADE D3 - Institute for Data-Driven Decisions. With a PhD in Applied Mathematics from UPC (Universitat Politècnica de Catalunya), her academic career spans several decades with significant contributions to artificial intelligence and decision science. Her research focuses on developing Artificial Intelligence techniques for decision making under uncertainty. Specifically, she works on systems with automatic learning, qualitative and fuzzy reasoning, multi-criteria decision making, group decision systems, recommendation systems, and consensus modeling. Her methodological approach combines theoretical foundations with practical applications in business contexts, particularly in marketing and strategic decision making. Her recent publications demonstrate a strong trend toward applying hesitant fuzzy linguistic approaches to complex decision problems across diverse domains including media analysis, food waste reduction, healthcare fraud detection, and sustainable energy planning. These works consistently integrate AI methodologies with real-world business challenges, showing her commitment to bridging theoretical research with practical applications. Professor Agell has directed or co-directed 11 doctoral theses and maintains active research collaborations with institutions including The University of Edinburgh Business School. She coordinates the Research Group Judgements and Decisions in the Market Place (JUICE), which focuses on applying AI to business decision contexts. Her research has been supported by multiple projects related to AI applications in marketing and business strategy.

• Leadership
• Organizational Behavior
• Workplace Dynamics
• +۳ مورد دیگر

Dr. Saima Ahmad is a Senior Lecturer at RMIT University's School of Management, focusing on cultivating sustainable work environments and investigating leadership's impact on individual well-being. With a PhD in Management from Monash University, her research spans organizational behavior, workplace dynamics, and leadership ethics, addressing critical issues such as bullying, resilience, and digital disruption. She coordinates courses in the RMIT MBA program and serves on editorial boards for the European Management Journal and PLoS One . Education: PhD in Management from Monash University Her research emphasizes positive leadership styles and their influence on employee engagement and organizational sustainability. Recent work explores servant leadership in the construction industry and the role of green human resource management in fostering environmental citizenship. She has pioneered studies on workplace bullying and its mitigation through ethical leadership frameworks. Her scientific awards include the 2022 RMIT GSBL Dean’s Merit Award for HDR Leadership Excellence for her contributions as HDR Coordinator (2022-2024), where she enhanced PhD completion rates and student support systems. She actively supervises Masters and PhD research candidates, focusing on leadership and organizational behavior.

• Edge Computing
• Cloud Computing
• Artificial Intelligence
• +۷ مورد دیگر

Hadi Tabatabaee is an Assistant Professor at the School of Computer Science, University College Dublin (UCD), leading the Sustainable Orchestration in Computing Continuum (SOC² Lab). His research focuses on sustainable orchestration of services across edge-cloud environments, emphasizing energy efficiency, carbon-aware systems, and AI-driven applications like large language models (LLMs). Key roles include Associate Editor for IEEE Access and Management Committee member of COST Action CA22151 (CYPHER). He holds a PhD in Computer Engineering from the University of Isfahan and has held academic positions at Maynooth University, Shahid Beheshti University, and Trinity College Dublin's CONNECT research program. Education: PhD (Computer Engineering, University of Isfahan), MSc (Computer Engineering), with a research visit at TU Delft (2010-2011). Certifications include Epigeum's Research Leadership and Research Integrity courses. Languages: Persian (fluent), Azerbaijani (spoken). Research Interests: Edge-cloud continuum, dynamic service placement, distributed AI workloads, LLM optimization, and sustainable resource management. Recent work includes zero-trust vehicular networks, parallel algorithms for recommender systems, and geospatial event processing. Awards: None explicitly listed, though his contributions include over 20 journal articles in IEEE/Elsevier/Springer venues. Professional Activities: IEEE Senior Member, TPC member for IEEE conferences, and reviewer for multiple journals. Teaching: Coordinates/teaches Cloud Computing, Computer Networks, and Principles of Computer Organization at UCD.

Diyi Liuمشاهده پروفایل

پژوهشگر ارشد

• Platform governance
• Human-centred computing
• Communication law and policy
• +۲ مورد دیگر

Diyi Liu is a DPhil candidate in Information, Communication, and the Social Sciences at the University of Oxford’s Oxford Internet Institute (OII). Her research focuses on platform governance, particularly examining algorithmic content moderation and the legitimacy of speech governance in South and Southeast Asia. She holds multiple visiting and research fellow roles, including at the National University of Singapore, Weizenbaum Institute, CSIS Jakarta, and Tech Global Institute. Her work bridges policy, technology, and societal impacts, with publications in journals like Policy & Internet and New Media & Society . Education: Diyi earned her BA and MA in International Journalism and Communication in China before pursuing her DPhil, funded by the prestigious Clarendon Scholarship. Her academic trajectory emphasizes interdisciplinary research, combining communication theory with computational methods. Research Interests: Platform governance, human-centred computing, communication law and policy, political communication, and computational methods. Her work often addresses ethical challenges in digital platforms and the intersection of policy with user experiences. Publications: Recent articles explore global hate speech datasets, decentralized social media governance (e.g., Mastodon), and health misinformation dynamics. Her research emphasizes actionable insights for policymakers and platform administrators. Awards: Recipient of the Clarendon Scholarship, supporting her doctoral studies. Her contributions to UNESCO’s pilot research on Thailand’s digital governance further highlight her engagement with multistakeholder initiatives. Professional Activities: Engaged with initiatives like the UNESCO Internet Universality Indicators and the Guidelines for the Governance of Digital Platforms. She actively communicates research through media outlets like The Diplomat and collaborates across institutions in Asia, Europe, and beyond.