Hasan Davulcu
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Phone: 480-965-6385
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Fax: 4809652751
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BYENG 564 TEMPE, AZ 85287-8809
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Mail code: 8809Campus: Tempe
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Dr. Hasan Davulcu is a professor in the School of Computing and Augmented Intelligence at Arizona State University. Dr. Davulcu developed patented AI and machine learning algorithms to mine information from multi-lingual text, image and video sources on social networks. His research in data mining and machine learning were published at Association for Computing Machinery (ACM) and IEEE Computer Society conferences and journals. His sociocultural modeling work in US DOD Minerva Research Initiative funded "Funding Allies for the War of Words'' project was recognized with a 2011 HSCB Focus Exceptional Scientific Achievement Award by the Office of the Assistant Secretary of Defense for Research and Engineering OASD (R&E). He is currently the PI of an NSF Partnership for Innovation (PFI:BIC) grant focusing on behavioral analytics for detecting financial fraud and PI of a DoD Minerva Research Initiative project titled "New Analytics for Measuring and Countering Social Influence and Persuasion of Extremist Groups''. Davulcu holds a B.S. degree in mathematics from the Middle East Technical University (METU), Turkey and, M.S. and Ph.D. degrees in computer science from Stony Brook University, New York. He is co-founder & CIO of ARTIS MAGI -- a startup developing and deploying highly complex and proprietary algorithms derived from social science and artificial intelligence to pinpoint pivotal target audiences and sway them in desirable directions.
- Ph.D. Computer Science, Stony Brook University, New York 2002
- M.S. Computer Science, Stony Brook University 1995
- B.S. Mathematics, Middle East Technical University, Turkey 1993
- Sociocultural Modeling and Persuasive AI
- Social Media and Web Mining
- Information Extraction and Database Systems
- Behavioral Analytics for Detecting Fraud
CIPS-AI Research
Cognitive Information Processing Systems (CIPS-AI) Lab's research focuses on developing novel data mining techniques and tools for structuring and organizing unstructured sources such as text, Web and social network data into semantic machine processable information. Such representations enable creation of conceptual maps to allow users to search and browse without information overload.
Socio-Cultural Modeling & Persuasive AI
- Aksu, D., Toroslu, I.H., Davulcu, H., 2025, Neighborhood Search with Heuristic-Based Feature Selection for Click-Through Rate Prediction, Engineering Applications of Artificial Intelligence, Vol. 146, Issue. 0952-1976, pp. 110261.
- Çetinkaya, Y.M., Lee, Y., Külah, E., Toroslu, I.H., Cowan, M.A., Davulcu, H., 2024, Towards a Programmable Humanizing AI through Scalable Stance-Directed Architecture, IEEE Internet Computing, Special Issue on Civilizing and Humanizing AI, Vol. 28, Issue. 5, pp. 20-27.
- Lee, Y., Çetinkaya, Y., Külah, E., Toroslu, I.H., Davulcu, H., 2024, Masking the Bias: From Echo Chambers to Large Scale Aspect-Based Sentiment Analysis, In Proceedings of the IEEE/ACM Conference on Advances in Social Network Analysis and Mining (ASONAM'24).
- Çetinkaya, Y.M., Külah, E., Toroslu, I.H., Davulcu, H., 2024, Targeted Marketing on Social Media: Utilizing Text Analysis to Generate Personalized Landing Pages, Social Network Analysis and Mining (SNAM), Vol. 14, Article number: 77, pp. 1-15.
- Lee, Y., Ozer, M., Corman, S., Davulcu, H., 2023, Identifying Behavioral Factors Leading to Differential Polarization Effects of Adversarial Botnets, ACM SIGAPP Appl. Comput. Rev., Vol. 23 (2), pp. 44–56.
- Alostad H, Dawiek S, Davulcu H., 2023, Q8VaxStance: Dataset Labeling System for Stance Detection towards Vaccines in Kuwaiti Dialect, Big Data and Cognitive Computing., Vol. 7 (3), pp. 151-165.
- Lee, Y., Ozer, M., Corman, S., Davulcu, H., 2023, Detecting and Measuring the Polarization Effects of Adversarial Botnets on Twitter, In Proceedings of the ACM/SIGAPP Symposium On Applied Computing (SAC'23), Association for Computing Machinery, Tallinn, Estonia.
- Mousavi, M., Davulcu, H., Ahmadi, M., Axelrod, R., Davis, R., and Atran, S., 2022, Effective Messaging on Social Media: What Makes Online Content Go Viral?, In Proceedings of the Web Conference 2022 (WWW'22), Association for Computing Machinery, New York, NY, USA.
- Çetinkaya, Y., Toroslu, I., Davulcu, H., 2022, Coherent Personalized Paragraph Generation for a Successful Landing Page, In Proceedings of the IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM'22), Istanbul, Turkey.
- Zhou, D., Zhang, S., Yildirim, M., Alcorn, S., Tong, H., Davulcu, H., He, J., 2021, High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective, ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 15(2), pp. 18:1-18:26.
- Mousavi, M., Steiner, E., Corman, S., Ruston, S., Weber, D., Davulcu, H., 2021, STIF: Semi-Supervised Taxonomy Induction using Term Embeddings and Clustering, ACM International Conference on Natural Language Processing and Information Retrieval (NLPIR'21), Hainan.
- Salehi, A., Davulcu, H., 2020, Graph Attention Auto-Encoders, IEEE International Conference on Tools with Artificial Intelligence (ICTAI'20), pp. 989-996.
- Çetinkaya, Y.M., Toroslu, I.H., Davulcu, H., 2020, Developing a Twitter Bot that can join a Discussion using State-of-the-art Architectures, Social Network Analysis and Mining, Vol. 10, Article number: 51, pp. 1-21.
- Alvari, H., Beigi, G., Sarkar, S., Ruston, S., Corman, S., Davulcu, H., Shakarian, P., 2020, A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts, International Conference on Data Intelligence and Security (ICDIS’20), pp. 26-33, Texas, USA.
- Salehi, A., Ozer, M., Davulcu, H., 2018, Sentiment-driven Community Profiling and Detection on Social Media, Proc. of the 29th on ACM Hypertext and Social Media (HT’18), pp. 229-237.
- Salehi, A., Davulcu, H., 2018, Detecting Antagonistic and Allied Communities on Social Media, IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM’18), pp. 99-106, Barcelona, Spain.
- Yildirim, M., Ozer, M., Davulcu, H., 2018, Cost-Sensitive Decision Making for Online Fraud Management, International Conference on Artificial Intelligence Applications and Innovations (AIAI’18), pp. 323-336, Rhodes, Greece.
- Alzahrani, S., Gore, C., Salehi, A., Davulcu, H., 2018, Finding Organizational Accounts Based on Structural and Behavioral Factors on Twitter, International Conference Social, Cultural, and Behavioral Modeling (SBP-BRiMS’18), pp. 164-175, Washington, DC.
- Ozer, M., Yildirim, M., Davulcu, H., 2018, Implicit Negative Link Detection on Online Political Networks via Matrix Tri-factorizations,, New Review of Hypermedia and Multimedia (NRHM), vol. 24(2), pp. 63-87.
- Zhou, D., He, J., Davulcu, H., Maciejewski, R., 2018, Motif-Preserving Dynamic Local Graph Cut, Big Data 2018, pp. 1156-1161, Seattle, WA.
- Alashri, S., Tsai, J., Koppela, A., Davulcu, H., 2018, Snowball: Extracting Causal Chains from Climate Change Text Corpora, IEEE International Conference on Data Intelligence and Security (ICDIS’18), pp. 234-241, South Padre Island, TX.
- Koç, S., Ozer, M., Toroslu, H., Davulcu, H., Jordan, J., 2018, Triadic Co-Clustering of Users, Issues and Sentiments in Political Tweets,, Expert Systems with Applications (ESWA), vol. 100, pp. 79-94.
- Zhou,D., Zhang, S., Yildirim, M., Alcorn, S., Tong, H., Davulcu, H., He, J., 2017, A Local Algorithm for Structure-Preserving Graph Cut, ACM SIGKDD Conference of Knowledge, Discovery, and Data Mining (KDD'2017), Halifax, Nova Scotia.
- Ozer, M., Yildirim, Y., Davulcu, H., 2017, Negative Link Prediction and Its Applications in Online Political Networks, ACM Conference on Hypertext and Social Media (ACM Hypertext 17), Prague, Czech Republic.
- Zhang, S., Zhou, D., Yildirim, Y., Alcorn, S., He, J., Davulcu, H., Tong, H., 2017, HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection, SIAM International Conference on Data Mining (SDM17), Texas, USA.
- Alostad, H., Davulcu, H., 2017, Directional Prediction of Stock Prices using Breaking News on Twitter, Web Intelligence Journal, Vol. 15(1), pp. 1-17.
- Yang, P., Davulcu, H., Zhu, Y., He, J., 2016, A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning, IEEE Transactions on Knowledge and Data Engineering, Vol. 28(12), pp. 3154-3168.
- Ozer, M., Kim, N., Davulcu, H., 2016, Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'16), San Francisco, CA.
- Alzahrani, S., Ceran, B., Alashri, S., Ruston, S., Corman, S., Davulcu, H., 2016, Story Forms Detection in Text through Concept-Based Co-Clustering, Proceedings of the IEEE International Conferences on Social Computing and Networking (SocialCom'16), pp. 258-265.
- Koc, S., Toroslu, I.H., Davulcu, H., 2016, Co-Clustering Signed 3-Partite Graphs, International Symposium on Foundations and Applications of Big Data Analytics (FAB'16), SF, CA.
- Lu, Y., Steptoe, M., Burke, S., Wang, H., Tsai, J., Davulcu, H., Montgomery, D., Corman, S.R., Maciejewski, R., 2016, Exploring Evolving Media Discourse Through Event Cueing, IEEE Transactions on Visualization and Computer Graphics, Vol. 22(1), pp. 220-229.
- Ozer, M., Keles, I., Toroslu, H., Karagoz, P., Davulcu, H., 2016, Predicting the Location and Time of Mobile Phone Users by Using Sequential Pattern Mining Techniques, The Computer Journal, Oxford University Press, Vol. 59(6), pp. 908-122.
- “Climate Change” Frames Detection and Categorization Based on Generalized Concepts, International Journal of Semantic Computing (IJSC), Vol. 10(2), pp. 147-166.
- Alashri, S., Alzahrani, S., Bustikova, L., Siroky, D., Davulcu, H., 2015, What Animates Political Debates? Analyzing Ideological Perspectives in Online Debates between Opposing Parties, Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-15), Stanford, CA.
- Ceran, B., Kedia, N., Corman, S.R., Davulcu, H., 2015, Story Detection Using Generalized Concepts and Relations, Proceedings of International Symposium on Foundation of Open Source Intelligence and Security Informatics (FOSINT-SI), in conj. with IEEE ASONAM 2015.
- Alostad, H., M., Davulcu, H., 2015, Directional Prediction of Stock Prices using Breaking News on Twitter, IEEE/WIC/ACM International Conference on Web Intelligence (WI'15), Singapore.
- Aktunc, R., Ozer, M., Toroslu, I.H., Davulcu, H., 2015, A Dynamic Modularity Based Community Detection Algorithm for Large-scale Networks, International Symposium on Foundations and Applications of Big Data Analytics (FAB'15), Paris, France.
- Dawei, Z., He, J., Candan, K. S., Davulcu, H., 2015, MUVIR: Multi-View Rare Category Detection, International Joint Conference on Artificial Intelligence (IJCAI'15), Argentina.
- Wang, Z., Lai, M.J., Lu, Z., Fan, W., Davulcu, H., Ye, J., 2015, Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion,SIAM Journal on Scientific Computing, Vol. 37-1.
- Alzahrani, S., Alashri, S., Koppela, A., Davulcu, H., Toroslu, I., 2015, A Network-Based Model for Predicting Hashtag Breakouts in Twitter,Proceedings of the International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP15), DC, pp. 3-12.
- Wang, Z., Lai, M.J., Lu, Z., Fan, W., Davulcu, H., Ye, J., 2014, Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion, Proceedings of the 31st International Conference on Machine Learning, (ICML 2014), Beijing, China, pp. 91-99.
- Kim, N., Tikves, S., Wang, Z., Githens-Mazer, J., Davulcu, H., 2013, MultiScale Modeling of Islamic Organizations in UK,Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13), Washington D.C., USA.[Best Paper]
- Gokalp, S., Temkit, M., Davulcu, H., Toroslu, H., 2013, Partitioning and Scaling Signed Bipartite Graphs for Polarized Political Blogosphere,Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13), Washington D.C., USA.
- Mazumder, A., Das, A., Kim, N., Gokalp, S., Sen, A., Davulcu, H., 2013, Spatio-Temporal Signal Recovery from Political Tweets in Indonesia, Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13), Washington D.C., USA.
- Omeroglu, N., Toroslu, H., Gokalp, S., Davulcu, H., 2013, K-partitioning of Signed or Weighted Bipartite Graphs, Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13), Washington D.C., USA.
- Kim, N., Gokalp, S., Davulcu, H., Woodward M., 2013, LookingGlass: A Visual Intelligence Platform for Tracking Online Social Movements, Proceedings of International Symposium on Foundation of Open Source Intelligence and Security Informatics (FOSINT-SI), in conjunction with IEEE ASONAM 2013, Niagara Falls, Canada.
Agentic AI Workflows - Logical Foundations
- Hasan Davulcu, Michael Kifer, I. V. Ramakrishnan: CTR-S: A Logic for Specifying Contracts in Semantic Web Services, WWW 2004: 144-153
- Hasan Davulcu, Guizhen Yang, Michael Kifer, I. V. Ramakrishnan: Computational Aspects of Resilient Data Extraction from Semistructured Sources, ACM PODS 2000: 136-144
- Hasan Davulcu, Juliana Freire, Michael Kifer, I. V. Ramakrishnan: A Layered Architecture for Querying Dynamic Web Content, ACM SIGMOD 1999: 491-502
- Hasan Davulcu, Michael Kifer, C. R. Ramakrishnan, I. V. Ramakrishnan: Logic Based Modeling and Analysis of Workflows, ACM PODS 1998: 25-33
- (AP1) Modeling Political Polarization, Mobilization and Conflict De-Escalation through Gravity Models, PI: H. Davulcu (34%), ASU; Funding source: DOD-ONR, Award # N00014-18- 1-2761, Period: Aug. 2018 - Jul. 2021, Recognized Amount: $385,929. (Collaborative with co-PI’s: Yang, Cohen, ASU, Total Award: $1,135,088)
Brief Description: In this proposal we aim to develop gravity models to understand online groups, their leaders and propaganda themes acting as push and pull driving polarization, mobilization for collective action and risky behaviors – such as joining extremist or anti-corruption groups, registering to participate a protest or a flash mob.
- (AP2) Detecting and Tracking Adversarial Framing in Mainstream and Social Media, co-PI: H. Davulcu (33%), ASU; Funding source: DOD-ONR, Award # N00014-18-1-2692, Period: Aug. 2018 - Jul. 2021, Recognized Amount: $541,549. (Collaborative with PI: Corman, ASU, Total Award: $1,641,060)
Brief Description: An important aspect of information operations (IO) are influence campaigns where a state actor or organizations under its control attempt to shift public opinion by framing information to support a narrative that facilitate their goals. If there is a playbook in operation, then in principle it should be possible to detect its signatures in mainstream media and to potentially provide early warning of malicious intent.
- (AP3) Tracking and Refuting Disinformation in Georgia, co-PI: H. Davulcu (50%), ASU; Funding source: DOS-GEC, Award # AWD00033256, Period: Sep. 2018 - Sep. 2019, Recognized Amount: $145,902. (Collaborative with PI: Nahzi, ASU, Total Award: $291,805)
Brief Description: To counter efforts by foreign entities to use disinformation and propaganda to influence the policies and social and political stability of the United States and United States allies and partner nations, Arizona State University’s (ASU) McCain Institute for International Leadership has partnered with ASU’s advanced digital data mining program Looking Glass.
- (AP4) Ideological Techniques and Operational Procedures: Analyzing the Tactics of Propa- ganda and Disinformation, co-PI: H. Davulcu (30%), ASU; Funding source: DOS-PA, Award # AWD00033184, Period: Sep. 2018 - Sep. 2019, Recognized Amount: $149,260. (Collaborative with PI: Ruston, ASU, Total Award: $497,536)
Brief Description: The recipient will enhance the capability U.S. allies and partners to detect and defend against foreign state-sponsored disinformation efforts through the development and/or refinement of techniques and automated tools for identification and analysis of digital disinformation and propaganda.
- (AP5) New Analytics for Measuring and Countering Social Influence and Persuasion of Extremist Groups, PI: H. Davulcu (30%), ASU; Funding source: DOD-MINERVA, Award # N00014-16-1-2015, Period: Dec. 2015 - Jun. 2019, Recognized Amount: $719,820. (Collaborative with co-PI’s: Li, Shakarian, ASU, Total Award: $2,399,401)
Brief Description: The overall aim of this project is to develop novel measurement and analytic methods for detecting Information Cascades (ICs) and automated approaches informed by social science to determine what types of information “goes viral” and under what circumstances.
- (AP6) PFI:BIC: Fraud Detection via Visual Analytics: An Infrastructure to Support Complex Financial Patterns-based Real-Time Services Delivery, PI: H. Davulcu (50%), ASU; Funding source: NSF, Award # 1430144, Period: Jun. 2014 - Jul. 2019, Recognized Amount: $400,000. (Collaborative with co-PI: Candan, ASU, Total Award: $800,000)
Brief Description: The proposed platform will enable integration and enrichment of limited private financial data with larger publicly available data sets to detect fraud and reduce losses due to fraudulent transactions. The data linkage and financial pattern discovery platform which is to be developed via visual analytics will enable ”smart” fraud detection and prevention services.
- (AP7) II-New: GEARS - An Infrastructure for Energy-Efficient Big Data Research on Het- erogenous and Dynamic Data, co-PI: H. Davulcu (9%), ASU; Funding source: NSF, Award # 1629888, Period: Sep. 2016 - Aug. 2019, Recognized Amount: $67,499. (Collaborative with PI: Zhao, ASU, co-PI: Liu, Ren, Candan ASU, Total Award: $749,999)
Brief Description: This project aims to develop the needed computational infrastructure to support GEARS (an enerGy-Efficient big-datA Research System) for studying heterogeneous and dynamic data using heterogeneous computing and storage resources.
Completed Projects
- (CP1) LookingGlass Multimedia: Radio and Programmable Antenna for Social Media Monitoring, PI: H. Davulcu (50%), ASU; Funding source: DOD - ONR, Award # N00014-15-1-2722, Period: Jun. 2015 - May. 2018, Recognized Amount: $443,539. (Collaborative with co-PI’s: Li, ASU, Total Award: $985,643)
Brief Description: LookingGlass is a social movements tracker tool which is able to detect radical hot-spots of social networks, their narratives and activities, and socio-cultural, economic, and political drivers. LookingGlass is bootstrapped by highly trained area experts with social science and subject matter expertise as well as local cultural knowledge.
- (CP2) Emerging Trends in Muslim Discourse: The Rise of Religious Intolerance Sectarianism and Shariah Consciousness, co-PI: H. Davulcu (50%), ASU; Funding source: DOD - ONR, Award # N00014-14-1-0477, Period: Jun. 2014 - May. 2017, Recognized Amount: $424,999. (Collaborative with PI: Woodward, ASU, Total Award: $849,998)
Brief Description: The objectives of this project are to: 1) document and explain the emergence of sectarianism and Shariah in extremist Muslim discourse, and the elements of oppositional discourse; and 2) advance the development of computational tools for tracking the dynamics of group formation and fragmentation in virtual communities around these issues as part of a larger effort to develop socio-cultural predictive modeling and analytics.
- (CP3) Planning Grant: I/UCRC for Assured and SCAlable Data Engineering (CASCADE), co-PI: H. Davulcu (30%), ASU; Funding source: NSF, Award # 1464579, Period: Apr. 2015 - May. 2017, Recognized Amount: $4,687. (Collaborative with PI: Candan, ASU, co-PI: Ahn, ASU, Total Award: $15,625)
Brief Description: This planning grant’s objective is to organize a meeting with industry partners and the universities to outline a research agenda for CASCADE. The industrial/academic partner- ships of CASCADE will enable new algorithms, tools, and systems that securely manage, share, access, and analyze heterogeneous sets of static or transient data to accommodate diverse security requirements, including trust, availability, confidentiality, and integrity.
- (CP4) Funding Allies for the War of Words: Mapping the Diffusion and Influence of Counter- Radical Muslim Discourse, co-PI: H. Davulcu (20%), ASU; Funding source: DOD - Minerva, Award # N00014-15-1-2924, Period: Apr. 2009 - May. 2015, Recognized Amount: $1,177,362. (Collaborative with PI: Woodward, Co-PI: Corman, ASU Total Award: $5,886,813)
Brief Description: The project is characterized by an integrative approach that brings together a broad range of disciplines and methods—Islamic and area studies; field research and discourse analysis; survey research; computer science and statistics—and triangulates methods to reveal patterns in CVE discourse at the local, regional, and global levels.
- (CP5) Through The Looking Glass To More Effective Programming, PI: H. Davulcu (75%), ASU; Funding source: USAID, Award # NAT013-1, Period: Jul. 2016 - Aug. 2016, Recognized Amount: $54,759.
Brief Description: Libya Transition Initiative (LTI) by Chemonics International, supports activities that reinforce stability and build an inclusive and peaceful democratic future in Libya. We developed a LookingGlass Libya platform to allow for evaluating the spread and impact of LTI2 social media activities.
- (CP6) Mapping the Extremist and Counter Extremist Online Narrative with a focus on deep dive on Facebook Social Media Analytics PI: H. Davulcu (100%), ASU; Funding source: UNDP-BD, Award # UNDP-BD/CPS/2016/017, Period: Nov. 2016 - Dec. 2016, Recognized Amount: $124,575.
Brief Description: A comprehensive social-media monitor for UNDP in Bangladesh to identify propaganda outlets, and social media followers, and trending narratives of extremist and counter- extremist groups.
- (CP7) DURIP: Big Data Server for Social Media Analytics: Social-Radio and Programmable Antenna Implementation, PI: H. Davulcu (50%), ASU; Funding source: DOD - ONR, Award # N00014-15-1-2722, Period: Aug. 2015 - Aug. 2016, Recognized Amount: $125,000. (Collaborative with co-PI’s: Baral, ASU, Total Award: $250,000)
Brief Description: In this DURIP project we purchased a CLOUDOOP RAX HADOOP SOLUTION (PN: PS-CDPRAX) for big data integration, processing and visualization. The custom config- ured high performance computing server came with 6 Data Nodes, 288 TB High Performance SATA III Enterprise Storage Space, 768 GB High Performance ECC Registered Memory, Total 120 x Intel Xeon E5 2600 v2 Cloud Ready Processor Cores with MapR Hadoop Distribution.
- (CP8) The Foresight Initiative, co-PI: H. Davulcu (2%), ASU; Funding source: DOD-NGA, Period: Jun. 2014 - Jul. 2015, Recognized Amount: $63,230. (Collaborative with PI: Bliss, Co-PI: Maciejewski, White, Westerhoff, Bliss, Corman, Liu, Dirks, Thies, Lobo, Cooke, Ahn, Finn, ASU, Total Award: $3,161,513)
Brief Description: Climate change and its effects on global landscapes and human welfare create exceptional complexities for policy makers. A new research partnership called the Foresight Initiative is developing tools to inform decision makers as they confront wicked problems such as the web of climate change, water security and national security.
- (CP9) CAREER: A Logic-Based Dynamic Policy Model for Adaptive Workflow Management, PI: H. Davulcu (100%), ASU; Funding source: NSF, Award # 0644459, Period: Mar. 2007 - Feb. 2012, Recognized Amount: $413,112.
Brief Description: The main thrust of his project is the development of proof theoretic reasoning and analysis algorithms to enable system integrators and end users to leverage diverse and heteroge- neous Web services through local policy specifications.
- (CP10) Identifying Terrorist Narratives and Counter-Narratives: Embedding Story Analysts in Expeditionary Units, co-PI: H. Davulcu (10%), ASU; Funding source: DOD - ONR, Period: Apr. 2011 - Mar. 2014, Recognized Amount: $290,605. (Collaborative with PI: Steven Corman, Co-PI: Bernardi, Trethewey, Cheong, Goodall, Torrens, ASU, Total Award: $2,906,050)
- (CP11) MiNC: NSDL Middleware for Network- and Context-aware Recommendations, co-PI: H. Davulcu (25%), ASU; Funding source: NSF, Award # 1043583, Period: Jan. 2011 - Dec. 2012, Recognized Amount: $149,813. (Collaborative with PI: Candan, ASU, co-PI: Sundaram, ASU, Total Award: $599,254)
- (CP12) MAISON: Middleware for Accessible Information Spaces on NSDL, co-PI: H. Davulcu (20%), ASU; Funding source: NSF, Award # 0735014, Period: Jan. 2008 - Dec. 2010, Recognized Amount: $99,984. (Collaborative with PI: Candan, ASU, co-PI: Sundaram, Hedgpeth, Li, ASU, Total Award: $499,922)
- (CP13) AOC: Archaeological Data Integration for the Study of Long-Term Human and Social Dynamics, co-PI: H. Davulcu (12%), ASU; Funding source: NSF, Award # 0624341, Period: Nov. 2006 - Oct. 2010, Recognized Amount: $89,998. (Collaborative with PI: Kintigh, ASU Co-PI: Candan, Kambhampati Spielmann, Nelson, ASU Total Award: $749,984)
- (CP14) MURI: Adaptable Situation-Aware Secure Service-Based (AS3) Systems, co-PI: H. Davulcu (20%), ASU; Funding source: DOD - ONR, Period: Jul. 2004 - Jun. 2006, Recognized Amount: $198,566. (Collaborative with PI: Yau, ASU Co-PI: Mukhopadhyay, Total Award: $992,834)
- (CP15) HSD: Enabling the Study of Long-Term Human and Social Dynamics: A Cyberinfrastructure for Archaeology, co-PI: H. Davulcu (5%), ASU; Funding source: NSF, Award # 0433959, Period: Oct. 2004 - Aug. 2006, Recognized Amount: $199,363. (Collaborative with PI: Kintigh, Co-PI: Candan, Kambhampati Spielmann, Nelson, ASU, Total Award: $3,987,278)
- (CP16) A System for Discovering Bioengineered Threats By Knowledge Base Driven Mining of Toxin Data, PI: H. Davulcu (100%), ASU; Funding source: DOD - U.S. Army), Period: Dec. 2003 - Jul. 2005, Recognized Amount: $115,639.
Courses
2025 Spring
| Course Number | Course Title |
|---|---|
| CSE 599 | Thesis |
| CSE 584 | Internship |
2024 Fall
| Course Number | Course Title |
|---|---|
| CSE 492 | Honors Directed Study |
| CSE 493 | Honors Thesis |
| CSE 599 | Thesis |
| CSE 792 | Research |
| CSE 795 | Continuing Registration |
| CSE 799 | Dissertation |
| CSE 499 | Individualized Instruction |
| CSE 790 | Reading and Conference |
2024 Summer
| Course Number | Course Title |
|---|---|
| CSE 795 | Continuing Registration |
| CSE 584 | Internship |
| CSE 599 | Thesis |
2024 Spring
| Course Number | Course Title |
|---|---|
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| CSE 792 | Research |
| CSE 795 | Continuing Registration |
| CSE 799 | Dissertation |
| CSE 590 | Reading and Conference |
| CSE 790 | Reading and Conference |
| CSE 584 | Internship |
| CSE 580 | Practicum |
| CSE 599 | Thesis |
| CSE 580 | Practicum |
| CSE 573 | Semantic Web Mining |
| CSE 799 | Dissertation |
| CSE 412 | Database Management |
2023 Fall
| Course Number | Course Title |
|---|---|
| CSE 492 | Honors Directed Study |
| CSE 493 | Honors Thesis |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| CSE 792 | Research |
| CSE 795 | Continuing Registration |
| CSE 799 | Dissertation |
| CSE 499 | Individualized Instruction |
| CSE 590 | Reading and Conference |
| CSE 580 | Practicum |
| CSE 584 | Internship |
| CSE 790 | Reading and Conference |
| CSE 580 | Practicum |
| CSE 573 | Semantic Web Mining |
2023 Summer
| Course Number | Course Title |
|---|---|
| CSE 795 | Continuing Registration |
| CSE 584 | Internship |
2023 Spring
| Course Number | Course Title |
|---|---|
| CSE 493 | Honors Thesis |
| CSE 492 | Honors Directed Study |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| CSE 792 | Research |
| CSE 795 | Continuing Registration |
| CSE 799 | Dissertation |
| CSE 590 | Reading and Conference |
| CSE 790 | Reading and Conference |
| CSE 584 | Internship |
| CSE 595 | Continuing Registration |
| CSE 499 | Individualized Instruction |
| CSE 580 | Practicum |
| CSE 599 | Thesis |
| CSE 580 | Practicum |
| CSE 573 | Semantic Web Mining |
| CSE 799 | Dissertation |
2022 Fall
| Course Number | Course Title |
|---|---|
| CSE 492 | Honors Directed Study |
| CSE 493 | Honors Thesis |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| CSE 792 | Research |
| CSE 795 | Continuing Registration |
| CSE 799 | Dissertation |
| CSE 499 | Individualized Instruction |
| CSE 590 | Reading and Conference |
| CSE 580 | Practicum |
| CSE 584 | Internship |
| CSE 790 | Reading and Conference |
| CSE 580 | Practicum |
| CSE 573 | Semantic Web Mining |
2022 Summer
| Course Number | Course Title |
|---|---|
| CSE 795 | Continuing Registration |
| CSE 584 | Internship |
2022 Spring
| Course Number | Course Title |
|---|---|
| CSE 493 | Honors Thesis |
| CSE 492 | Honors Directed Study |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| CSE 792 | Research |
| CSE 795 | Continuing Registration |
| CSE 799 | Dissertation |
| CSE 590 | Reading and Conference |
| CSE 790 | Reading and Conference |
| CSE 584 | Internship |
| CSE 595 | Continuing Registration |
| CSE 499 | Individualized Instruction |
| CSE 580 | Practicum |
| CSE 599 | Thesis |
| CSE 580 | Practicum |
| CSE 493 | Honors Thesis |
| CSE 573 | Semantic Web Mining |
| CSE 799 | Dissertation |
2021 Fall
| Course Number | Course Title |
|---|---|
| CSE 492 | Honors Directed Study |
| CSE 493 | Honors Thesis |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| CSE 792 | Research |
| CSE 795 | Continuing Registration |
| CSE 799 | Dissertation |
| CSE 499 | Individualized Instruction |
| CSE 590 | Reading and Conference |
| CSE 580 | Practicum |
| CSE 584 | Internship |
| CSE 790 | Reading and Conference |
| CSE 580 | Practicum |
| CSE 792 | Research |
| CSE 412 | Database Management |
2021 Summer
| Course Number | Course Title |
|---|---|
| CSE 795 | Continuing Registration |
2021 Spring
| Course Number | Course Title |
|---|---|
| CSE 493 | Honors Thesis |
| CSE 492 | Honors Directed Study |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| CSE 792 | Research |
| CSE 795 | Continuing Registration |
| CSE 799 | Dissertation |
| CSE 590 | Reading and Conference |
| CSE 790 | Reading and Conference |
| CSE 584 | Internship |
| CSE 595 | Continuing Registration |
| CSE 580 | Practicum |
| CSE 599 | Thesis |
| CSE 790 | Reading and Conference |
| CSE 580 | Practicum |
| CEN 580 | Practicum |
| CSE 493 | Honors Thesis |
| CSE 573 | Semantic Web Mining |
| CSE 799 | Dissertation |
2020 Fall
| Course Number | Course Title |
|---|---|
| CSE 492 | Honors Directed Study |
| CSE 493 | Honors Thesis |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| CSE 792 | Research |
| CSE 795 | Continuing Registration |
| CSE 799 | Dissertation |
| CSE 499 | Individualized Instruction |
| CSE 590 | Reading and Conference |
| CSE 580 | Practicum |
| CSE 584 | Internship |
| CSE 790 | Reading and Conference |
| CSE 580 | Practicum |
2020 Summer
| Course Number | Course Title |
|---|---|
| CSE 795 | Continuing Registration |
2020 Spring
| Course Number | Course Title |
|---|---|
| CSE 493 | Honors Thesis |
| CSE 492 | Honors Directed Study |
| CSE 595 | Continuing Registration |
| CSE 599 | Thesis |
| CSE 792 | Research |
| CSE 795 | Continuing Registration |
| CSE 799 | Dissertation |
| CSE 590 | Reading and Conference |
| CSE 790 | Reading and Conference |
| CSE 584 | Internship |
| CSE 595 | Continuing Registration |
| CSE 580 | Practicum |
| CSE 599 | Thesis |
| CSE 790 | Reading and Conference |
| CSE 580 | Practicum |
| CEN 580 | Practicum |
| CSE 493 | Honors Thesis |
| CSE 573 | Semantic Web Mining |
| CSE 799 | Dissertation |
- International Symposium on Computer andInformation Sciences (ISCIS2009), World Wide Web Track, Chair (2008 - 2008)
- SCI Capstone and Internship Program, Program Coordinator (2008 - 2008)
- SCI Graduate Admissions Committee, Member (2008 - 2008)
- SCI Scholarship/TA Committee, Member (2008 - 2008)
- SCI Capstone Course Committee, Member (2007 - 2007)
- SCI Graduate Admissions Committee, Member (2007 - 2007)
- SCI Scholarship/TA Committee, Member (2007 - 2007)
- National Science Foundation, Panel Review Member (2007 - 2007)
- IEEE Transactions on Knowledge and Data Engineering, Reviewer (Present)
Prof. Davulcu is a co-founder & CIO of ARTIS MAGI -- deploying highly complex and proprietary algorithms derived from social science and artificial intelligence to pinpoint all pivotal target audiences and sway them in desirable directions.