Find Academic Supervisors

• Computer Science Education
• Programming Education
• CS1 Pedagogy
• +4 more

Georgiana Haldeman is an active computer science educator and researcher specializing in programming education, particularly for introductory courses (CS1). Her work focuses on improving code quality, program decomposition, and developing educational tools that enhance student learning experiences in computer science education. Her research interests center around CS1 pedagogy, autograding systems, and code quality assessment. She has developed frameworks for teaching program decomposition and created educational tools like RAVIC (Runtime Analysis Visualizer for Introductory Courses) to help students visualize program execution. Her work often addresses both procedural and conceptual knowledge dimensions in programming education, recognizing the importance of developing both skill sets in novice programmers. Analysis of her publication record shows a strong focus on practical educational interventions in computer science. Her work spans multiple dimensions of CS education including assessment methods, educational tool development, classroom activities for improving code quality, and gender diversity in computer science. She frequently collaborates with researchers like Monica Babes-Vroman, Andrew Tjang, and Thu D. Nguyen, suggesting established research partnerships in the CS education community. Her recent publications (2023-2025) indicate active research in program decomposition frameworks, notional machines for databases, and synthesized teaching models that balance procedural and conceptual learning. This demonstrates continued innovation in computer science pedagogy and a commitment to addressing fundamental challenges in teaching introductory programming.

Valentina GatteschiView profile

Associate Professor

• Blockchain
• Ethereum
• Human-computer interaction
• +6 more

Valentina Gatteschi is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) at the Polytechnic University of Turin, Italy. She is a member of the GRAphics and INtelligent Systems (GRAINS) research group and has been actively involved in teaching and research in the fields of blockchain technology, human-computer interaction, and distributed systems. Dr. Gatteschi received her BSc and MSc degrees in management engineering and her PhD degree in computer engineering from Politecnico di Torino in 2005, 2008, and 2013, respectively. Her research focuses on blockchain technology, smart contracts, and their applications across various domains. She has made significant contributions to understanding how blockchain can be applied in areas such as decentralized finance, sustainable mobility, energy data marketplaces, and digital identity. Her work often bridges the gap between theoretical blockchain concepts and practical implementations, with a particular emphasis on user experience and system integration. She has led several research projects including "B4A - Blockchain for All" (2023-2025), which aims to make blockchain technology more accessible to diverse user groups. Her recent publications reveal a strong trend toward practical blockchain applications, particularly in sustainability contexts (CO2 tracking, circular economy), finance (DeFi), and transportation (smart mobility solutions). She has also been exploring the intersection of blockchain with emerging technologies like large language models for smart contract generation and analysis. Dr. Gatteschi serves as a supervisor for PhD students working on blockchain-related topics, including Alberto Butera (researching Blockchain Technology for Intelligent Vehicles) and Emanuele Antonio Napoli (analyzing smart contracts). She has been involved in multiple research projects funded by both national and commercial sources, demonstrating the practical relevance of her work to industry and government sectors. She is actively involved in teaching courses related to information visualization, digital transformation technologies, and database systems at both undergraduate and graduate levels at the Polytechnic University of Turin.

Tri Vo KhacView profile

Associate Professor

• Water Resources Management
• Hydraulic Engineering
• Hydrology
• +3 more

Assoc. Prof. Dr. Tri Vo Khac is affiliated with the Southern Institute of Water Resources Research (SIWRR) under the Ministry of Agriculture and Rural Development in Vietnam. He has been actively involved in international collaborations, particularly with projects like WISDOM (Water-related Information System for the sustainable Development of the Mekong Delta) since 2000. Academic Rank: Associate Professor Department: Science and International Technology Cooperation Department (SITC) Key Roles: WISDOM Project Director in Vietnam, WP4000 Leader, WP3100 System Analysis, WP6100 Data Review His research focuses on irrigation and drainage systems , SCADA system design , hydraulic and hydrology modeling , and GIS/database development . Career highlights include leading capacity-building initiatives with DANIDA (Denmark), coordinating irrigation management projects with ACIAR (Australia), and pioneering work on acid sulfate soil management in the Mekong Delta. He holds a PhD from SIWRR (1997–2002), a Master’s from Swedish University of Agricultural Sciences (1995–1997), and a diploma from Ho Chi Minh City University of Technology (1974–1978). Contact: Email: siwrr-sitc@vnn.vn Phone: +84 8 8380989

• Data Management and Analysis
• Machine Learning
• Knowledge Representation
• +5 more

Assoc Prof John Wang is an Associate Professor at the School of Information and Communication Technology , Griffith University. His work spans Data Management and Analysis (graph, text, spatial-temporal data), Machine Learning , Knowledge Representation , and Algorithm Design . He has published extensively in top venues like ACM Transactions on Database Systems , IEEE Transactions on Knowledge and Data Engineering , and conferences including SIGMOD , VLDB , and ICDE . Appointments : Member of the Institute for Integrated and Intelligent Systems (2003–2024). Education : PhD in Computer Science (Griffith University, 2003). His research has led to real-world implementations in Graph Data Processing , including techniques for shortest distance queries and temporal reachability. He actively contributes to program committees of conferences like VLDB and ICDE , and his funded projects include "Developing Soil Knowledge..." (ACIAR, 2024–2029) and "Harnessing Social Media..." (QLD Inspector-General, 2020). Recent publications focus on Graph Indexing , Causality Detection , and Spatial-temporal Querying . Examples include optimizing road network queries (2023), 2-hop labeling for shortest paths (2021), and geospatial skyline algorithms (2020). Co-authored works appear in venues such as IEEE Transactions on Knowledge and Data Engineering and Neurocomputing . Consultancy : Delivered commercial research on pandemic-related data analytics (2020). Supervision : Mentored 15+ PhD/Master’s students, including projects on deep learning, data leakage prevention, and XML querying. Teaching : Directed programs like Graduate Certificate in Information Technology and Diploma of Information Technology .

Clark BanachView profile

Teaching Professor

• International Trade
• Public Policy
• Economic Security
• +4 more

Dr. Clark Banach is a Teaching Professor of Management and Marketing at the Richard J. Wehle School of Business, Canisius University, and serves as Program Director at Aletheia Research Institution. With 15 years of strategic management experience—including 10 years in consulting where he oversaw 150+ projects—he bridges academic research with private sector expertise in finance and policy analysis. His academic credentials include: PhD in Economics (Dr. rer. pol.) from Freie Universität Berlin MA in International Economics from Berlin School of Economics and Law MA in International Marketing Management from Berlin School of Economics and Law MBA in International Business from Canisius University BA in Business Economics (dual degree) from Canisius University Dr. Banach's research focuses on geoeconomic security , analyzing how Chinese infrastructure investments—particularly through the Belt and Road Initiative—affect global trade flows and maritime shipping networks. His work combines empirical database development with policy forecasting, emphasizing Chinese port investments' bilateral trade impacts and economic security vulnerabilities. Earlier contributions explored organizational innovation through gamification in knowledge firms and digital-era change management. His 2023-2024 publications reveal a strategic shift toward actionable policy tools, featuring comprehensive databases like Building BLOCS adopted by DG Trade and APEC. These works dissect BRI's second-decade evolution while earlier 2016 studies pioneered frameworks for digital transformation in corporate communication structures. Key honors include: MERICS Futures Fellowship (Mercator Foundation) DAAD STIBET Doctoral Awards for East European and North American Studies GSNAS Doctoral Fellowship (German Research Foundation) As Program Director at Aletheia, he leads the Building BLOCS project and oversees data labs (BLOCS, GAPS, MINDS) developing custom analytics for trade policy. His grant-funded work—utilized by international bodies like APEC—specializes in non-partisan economic security forecasting through statistical modeling and database innovation. Aletheia's labs under his direction focus on behavioral analytics for education/healthcare policy, with BLOCS data systems tracking how infrastructure investments reshape trade networks. The institution's "no cookie" philosophy reflects his commitment to unbiased, privacy-centric research methodologies.

Jan-Jo ChenView profile

Professor

• Machine Learning
• Deep Learning
• Quantum Computing
• +7 more

Jan-Jo Chen is a Professor in the Department of Mathematics & Computer Science at Chicago State University, part of the College of Arts & Sciences. His research spans computer science, data analytics, and quantum information, with a strong focus on machine learning, deep learning, and high-performance computing. His research interests include machine learning, deep learning, quantum computing, supercomputing, concurrent and parallel processing, database security, and educational technology. He has developed models for predictive analytics in wealth distribution, facial recognition, curriculum recommendation, and forest cover classification, often leveraging decision trees and neural networks. The recent publications highlight a consistent trend in applying machine learning to diverse domains such as economics, education, and environmental science. His work increasingly emphasizes quantum computing education and interdisciplinary convergence, particularly through NSF-funded initiatives. Topics like hyperparameter tuning, multivariate analysis, and state-dependent modeling reflect a deep engagement with both theoretical and applied aspects of data science. Scientific Awards: No specific awards are listed in the provided text. Dr. Chen has been actively involved in securing and managing research grants, particularly from the National Science Foundation (NSF). He has served as Co-Principal Investigator on projects like PRELS and ExpandQISE NxGenDQ, and as Senior Personnel on the NSF Engines proposal. He also led the CSER Coordinator role at Chicago State University, supporting STEM education and research. While student advisees are not named, his involvement in undergraduate research and curriculum development suggests active mentorship. He is associated with the Center for STEM Education & Research (CSER) at Chicago State University and contributes to national initiatives in quantum education (QuSTEAM, ExpandQISE) and regional innovation (NSF Engines). These collaborations indicate leadership in convergent STEM education and workforce development.

Stavros SintosView profile

Assistant Professor

• Databases
• Data Mining
• Computational Geometry
• +3 more

Stavros Sintos is an Assistant Professor in the Department of Computer Science at the University of Illinois Chicago. He previously held a postdoctoral position at the University of Chicago and earned his Ph.D. and B.S. in Computer Science from Duke University and the University of Ioannina, respectively. Education: Ph.D. in Computer Science (Duke University, 2020), B.S. in Computer Science (University of Ioannina, Greece). His research focuses on designing efficient algorithms for databases, data mining, and computational geometry. Specific interests include geometric indexes with theoretical guarantees, approximate query processing, top-k queries, summarization queries, and join queries. He explores intersections with algorithmic fairness and temporal data analysis. Recent publications highlight innovations in clustering algorithms , temporal join queries , GPU-accelerated visualization , and fairness-aware systems . Key venues include SIGMOD, VLDB, PODS, and ICML-affiliated conferences. Scientific Awards: James B. Duke Fellowship; nominee for Outstanding Ph.D. Dissertation Award (2019-2020). He mentors talented students like Ph.D. candidate Aryan Esmailpour and collaborates with teams at UIC and Duke University. His work bridges theoretical guarantees with practical implementations for real-world data challenges.

Albert CrokerView profile

Professor

• Database Management Systems
• Relational Database Theory
• Temporal Database Theory
• +3 more

Albert Croker is a Professor in the Paul H. Chook Department of Information Systems and Statistics at Baruch College's Zicklin School of Business. With a PhD in Computer Science from SUNY Stony Brook (1984), he specializes in database systems and object-oriented programming. BS in Mathematics (SUNY Stony Brook, 1972) MS in Computer Science (SUNY Stony Brook, 1978) PhD in Computer Science (SUNY Stony Brook, 1984) His research focuses on database management systems , particularly relational database theory , temporal database theory , and object-oriented programming applications. He has developed innovative approaches to constraint satisfaction problems and temporal data representation. Professor Croker's publications highlight his expertise in temporal databases and object-oriented programming . His work explores time-variant data modeling, constraint satisfaction frameworks, and concurrency control mechanisms. Scientific Awards: Zicklin School of Business Teaching Excellence Award (1997) Golden Key National Honor Society Honorary Member (1997) He serves as Course Coordinator for multiple CIS courses including 9310/9410, 3100/4100, and 3650/9365, while maintaining active roles in curriculum development and faculty recruitment.

Abdullah Uz TanselView profile

Professor

• Database Management Systems
• Temporal Databases
• Semantic Web
• +7 more

Abdullah Uz Tansel is a Professor at the Paul H. Chook Department of Information Systems and Statistics in the Zicklin School of Business , Baruch College, CUNY. He also serves as a Professor of Computer Science at The Graduate Center of CUNY. His academic journey includes degrees from Middle East Technical University (BS, MS, PhD in Computer Engineering) and an MBA from the University of Southern California. Research Focus : Temporal databases, Semantic Web, Blockchain databases, and WEB3.0. He pioneered the first book on temporal databases and holds a patent on temporal RDF extensions. Key Publications : 15+ peer-reviewed articles in IEEE Transactions on Knowledge and Database Engineering , ACM , and Information Systems , with recent works (2024) addressing temporal data management in RDF and integrity constraints. Awards & Grants : Recipient of multiple Teaching Excellence Awards , Sabbatical Leaves , and PSC-CUNY research grants for temporal data modeling. Service : Active in committees at Baruch College, CUNY, and international conferences like ICDE and WMSCI . Organized departmental conferences and supervised curriculum development. Professional Affiliations : ACM and IEEE Computer Society member, with editorial roles in journals like AETiC and Journal of Information & Management .

Nicholas HolyoakView profile

Research Fellow

• Transport Systems
• Transport Planning
• Civil Engineering
• +4 more

Nicholas Holyoak is a Research Fellow and Lecturer in Infrastructure Engineering at Flinders University's College of Science and Engineering. He specializes in transport planning, lecturing across multiple engineering courses while conducting research in transportation systems and sustainable development. His research interests focus on Transport Systems , Surveys and Analytical Techniques , and Transport Forecast Model Development . Holyoak has developed expertise in multimodal demand forecasting tools, environmental impact models, tourism-related travel research, and assessment of transport system policies and infrastructure. He possesses detailed knowledge of travel behavior surveys, including design, deployment, and data analysis across various applications. Holyoak's publications demonstrate a consistent research trajectory focused on sustainable transport planning, with recent work examining population projections for remote Indigenous communities (2021), waste generation analysis (2020), and land use-transport integration models (2019). His research contributes to UN Sustainable Development Goals, particularly those related to sustainable cities and communities. Holyoak has received 153 citations with an h-index of 6 across his 17 research outputs. His work has been recognized in Scopus and Pure databases, with significant readership on Mendeley. As an educator, Holyoak serves as topic coordinator and lecturer for multiple engineering courses including Civil Engineering Design, Professional Skills, Transport Systems Engineering, and Transport Planning and Modelling at both undergraduate and graduate levels. His technical expertise spans transportation modeling software, civil engineering design tools, GIS applications, choice modeling, and statistical data management packages, making him a versatile contributor to transportation research and education.

• Virology
• Molecular Biology
• Foot-and-Mouth Disease Virus
• +7 more

Aldo Dekker is a researcher in Virology & Molecular Biology at Wageningen University & Research, where he has led multiple national and EU-funded projects on foot-and-mouth disease virus (FMDV) and related animal diseases. His work spans vaccine development, immunogenicity studies, diagnostic assays, and outbreak preparedness. He has served as a (co-)promotor for PhD candidates and is actively involved in scientific communication and policy advice. Research Interests: Dr. Dekker's research focuses on the molecular and immunological aspects of FMDV, including antigenic variation, vaccine potency, transmission dynamics, and the development of novel diagnostic tools using single-domain antibodies and virus-like particles. His work bridges basic virology and applied veterinary science, aiming to improve animal health and prevent disease outbreaks. The most recent publications highlight a shift toward advanced in-vitro methods for vaccine testing, structural insights into FMDV antigenicity, and the use of machine learning for early disease detection. His contributions span high-impact journals such as Nature Communications , Vaccine , and Eurosurveillance , reflecting both academic rigor and public health relevance. Scientific Awards: No scientific awards explicitly mentioned in the provided text. Advising and Grants: Dr. Dekker has supervised PhD candidates such as H. Li and C. Bravo de Rueda Cabrera. He has led major research projects including 'Vesiculaire ziekten en leukose' (2008–2025), 'EU MKZ DISCONVAC', and 'MKZ-NDV vectorvaccin', demonstrating sustained funding and leadership in animal disease research. Labs and Teams: He is embedded in a collaborative network at Wageningen University & Research, working with experts in virology, immunology, and veterinary epidemiology. His team engages in both experimental research and policy-oriented reporting, such as expert assessments for disease control groups.

Frank EichingerView profile

Researcher

• Graph Mining
• Software Defect Localization
• Data Mining
• +4 more

Dr. Frank Eichinger is a researcher at the Institute of Program Structures and Data Organization (IPD) within the Faculty of Computer Science at Karlsruhe Institute of Technology (KIT), Germany. He works under the Chair of Prof. Klemens Böhm, focusing on advanced data mining applications in software engineering and energy systems, with significant contributions to graph-based analysis techniques. Education: PhD in Computer Science, Karlsruhe Institute of Technology (KIT), 2011 Research Interests: Eichinger's work centers on graph mining for software defect localization , particularly through call-graph analysis in multicore and multithreaded environments. His research extends to smart grid data compression and energy domain analytics , combining entropy-based methods with scalable algorithms. Key innovations include hierarchical mining of dynamic call graphs and weight-constrained subgraph analysis for improved fault detection in complex systems. Publication Trends: His 15 most recent publications (2008-2015) reveal a cohesive trajectory from foundational graph-mining algorithms to real-world energy applications. Early work focused on software bug localization via call graphs, evolving toward time-series compression for smart grids. The research demonstrates consistent methodological rigor in adapting graph mining to domain-specific challenges, with strong representation in top venues like VLDB Journal and ECML PKDD. Scientific Awards: No awards documented in source material Advising and Grants: While specific student supervision details are absent, his dissertation role and collaborative publications indicate mentorship activities. Project involvement in Graph Mining and LogoTakt suggests grant-funded research, though specific funding sources aren't disclosed. Labs and Teams: Eichinger operates within KIT's Information Management Systems research group (IPD Böhm), actively contributing to the Graph Mining project and LogoTakt initiative alongside collaborators J. Mülle and M. Bracht. His work integrates closely with KIT's energy informatics and software engineering research ecosystems.

• Information Systems
• Data Management
• Computer Science
• +3 more

Dr.-Ing. Guido Sautter is a researcher at the Karlsruhe Institute of Technology (KIT), affiliated with the Department of Information Management Systems under the chair of Prof. K. Böhm. His work focuses on information systems, data management, and related computational disciplines. Research areas include database systems, enterprise information architecture, and software engineering frameworks.

• Statistics
• Probability Theory
• Stochastic Modeling
• +3 more

María Del Rosario Rodríguez Griñolo is a Full Professor in the Department of Economics, Quantitative Methods and Economic History at Pablo de Olavide University in Spain. Her academic work focuses on Statistics and Operations Research within the School of Economics. Dr. Rodríguez Griñolo earned her PhD from the University of Seville in 2010 with a thesis titled "A new approach to multivariate lifetime distributions based on the excess-wealth concept: an application in tumor growth," supervised by Dr. Franco Pellerey and Dr. José María Fernández Ponce. Her research interests span multiple areas of statistical theory and applications, with particular expertise in stochastic ordering, multivariate analysis, reliability theory, and risk assessment. She has developed significant contributions to the understanding of multivariate aging concepts, excess-wealth functions, and orthant convex-type stochastic orders. Her work demonstrates both theoretical depth and practical applications across diverse fields including financial risk management, cultural heritage preservation, and biomedical research. Analysis of her recent publications reveals a strong focus on advancing theoretical statistical concepts while applying them to real-world problems. Her work shows consistent development in multivariate stochastic orders, with increasing applications in risk assessment, biomedical research, and educational methodologies. The interdisciplinary nature of her research is evident through collaborations across statistics, economics, biology, and cultural heritage fields. Dr. Rodríguez Griñolo has contributed to educational innovation in statistics teaching, particularly through developing web-based resources for secondary students and implementing new assessment methodologies for statistics courses in environmental sciences. Her academic activities include significant contributions to statistics education and public outreach, including the design of educational web resources for secondary students and the development of science communication initiatives related to cultural heritage preservation.

Paul MacDonaldView profile

Professor

• International Relations
• American Foreign Policy
• Colonialism
• +3 more

Paul MacDonald is a Professor of Political Science at Wellesley College. His research centers on international relations, with specific emphasis on American foreign policy, colonial resistance dynamics, and status competition in global politics. He co-authored Networks of Domination: The Social Foundations of Peripheral Conquest in International Politics (Oxford University Press, 2014) and contributes regularly to leading journals like American Political Science Review and International Security . Education: B.A. from University of California-Berkeley, M.A. and Ph.D. from Columbia University Previous Affiliations: Williams College (3 years), American Academy of Arts and Sciences, Belfer Center, Olin Institute, Center for International Security and Cooperation His research examines colonial military structures, counterinsurgency doctrine, and how great powers respond to economic decline. Recent work focuses on status claims in United Nations speeches and racial frameworks in counterinsurgency . He teaches courses on World Politics, Empires, and Small Wars. MacDonald combines empirical rigor with theoretical innovation, maintaining active collaborations with scholars like Joseph M. Parent and Stacie Goddard. His 2023 article in Security Studies on colonial violence and civilian targeting generated significant academic discussion. Email: pmacdon2@wellesley.edu