Work with thought leaders and academic experts in Information Systems
Companies can benefit from working with an academic researcher in Information Systems in several ways. Firstly, they can gain valuable insights and knowledge about the latest trends and advancements in the field. Researchers can help companies solve complex problems by applying their expertise and conducting in-depth analysis. Additionally, collaborating with researchers can provide companies with access to cutting-edge technology and tools. By working with an academic researcher, companies can stay ahead of the competition and make informed decisions based on data-driven research.
Researchers on NotedSource with backgrounds in Information Systems include Ping Luo, Jerry Schnepp, Ph.D., Martin Tsui, David J. Lilja, Edoardo Airoldi, Dr Leandra Jordaan, Jeffrey Townsend, Jim Samuel, Catherine Tucker, Dr. Haikun Huang, Ph.D., Denys Dutykh, Deepak Khazanchi, Suhang Wang, Hussein Al-Hussein, Vivek Singh, and Shion Guha.
Ping Luo
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
Most Relevant Research Expertise
Other Research Expertise (21)
About
Most Relevant Publications (1+)
23 total publications
Evaluation of single-cell RNAseq labelling algorithms using cancer datasets
Briefings in Bioinformatics / Dec 30, 2022
Christensen, E., Luo, P., Turinsky, A., Husić, M., Mahalanabis, A., Naidas, A., Diaz-Mejia, J. J., Brudno, M., Pugh, T., Ramani, A., & Shooshtari, P. (2022). Evaluation of single-cell RNAseq labelling algorithms using cancer datasets. Briefings in Bioinformatics, 24(1). https://doi.org/10.1093/bib/bbac561
See Full Profile
Jerry Schnepp, Ph.D.
Chair of Computer Science, Judson University
Most Relevant Research Expertise
Other Research Expertise (18)
About
Most Relevant Publications (2+)
20 total publications
An automated technique for real-time production of lifelike animations of American Sign Language
Universal Access in the Information Society / May 14, 2015
McDonald, J., Wolfe, R., Schnepp, J., Hochgesang, J., Jamrozik, D. G., Stumbo, M., Berke, L., Bialek, M., & Thomas, F. (2015). An automated technique for real-time production of lifelike animations of American Sign Language. Universal Access in the Information Society, 15(4), 551–566. https://doi.org/10.1007/s10209-015-0407-2
Special issue: recent advances in sign language translation and avatar technology
Universal Access in the Information Society / Jun 02, 2015
Wolfe, R., Efthimiou, E., Glauert, J., Hanke, T., McDonald, J., & Schnepp, J. (2015). Special issue: recent advances in sign language translation and avatar technology. Universal Access in the Information Society, 15(4), 485–486. https://doi.org/10.1007/s10209-015-0412-5
See Full Profile
Martin Tsui
University of California, San Francisco
Most Relevant Research Expertise
Other Research Expertise (15)
About
Most Relevant Publications (1+)
16 total publications
Comparative host–pathogen protein–protein interaction analysis of recent coronavirus outbreaks and important host targets identification
Briefings in Bioinformatics / Sep 11, 2020
Khan, A. A., & Khan, Z. (2020). Comparative host–pathogen protein–protein interaction analysis of recent coronavirus outbreaks and important host targets identification. Briefings in Bioinformatics, 22(2), 1206–1214. https://doi.org/10.1093/bib/bbaa207
See Full Profile
David J. Lilja
Professor Emeritus of Electrical and Computer Engineering, University of Minnesota
Most Relevant Research Expertise
Other Research Expertise (15)
About
Most Relevant Publications (4+)
99 total publications
Accelerating geoscience and engineering system simulations on graphics hardware
Computers & Geosciences / Dec 01, 2009
Walsh, S. D. C., Saar, M. O., Bailey, P., & Lilja, D. J. (2009). Accelerating geoscience and engineering system simulations on graphics hardware. Computers & Geosciences, 35(12), 2353–2364. https://doi.org/10.1016/j.cageo.2009.05.001
JaViz: A client/server Java profiling tool
IBM Systems Journal / Jan 01, 2000
Kazi, I. H., Jose, D. P., Ben-Hamida, B., Hescott, C. J., Kwok, C., Konstan, J. A., Lilja, D. J., & Yew, P.-C. (2000). JaViz: A client/server Java profiling tool. IBM Systems Journal, 39(1), 96–117. https://doi.org/10.1147/sj.391.0096
Exploring Performance Characteristics of the Optane 3D Xpoint Storage Technology
ACM Transactions on Modeling and Performance Evaluation of Computing Systems / Feb 04, 2020
Yang, J., Li, B., & Lilja, D. J. (2020). Exploring Performance Characteristics of the Optane 3D Xpoint Storage Technology. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 5(1), 1–28. https://doi.org/10.1145/3372783
High Quality Down-Sampling for Deterministic Approaches to Stochastic Computing
IEEE Transactions on Emerging Topics in Computing / Jan 01, 2021
Najafi, M. H., & Lilja, D. J. (2021). High Quality Down-Sampling for Deterministic Approaches to Stochastic Computing. IEEE Transactions on Emerging Topics in Computing, 9(1), 7–14. https://doi.org/10.1109/tetc.2017.2789243
See Full Profile
Edoardo Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Expertise
Other Research Expertise (43)
About
Most Relevant Publications (5+)
106 total publications
Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook
Information Systems Research / Dec 01, 2016
Cavusoglu, H., Phan, T. Q., Cavusoglu, H., & Airoldi, E. M. (2016). Assessing the Impact of Granular Privacy Controls on Content Sharing and Disclosure on Facebook. Information Systems Research, 27(4), 848–879. https://doi.org/10.1287/isre.2016.0672
A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks
Information Systems Research / Mar 01, 2019
Bhattacharya, P., Phan, T. Q., Bai, X., & Airoldi, E. M. (2019). A Coevolution Model of Network Structure and User Behavior: The Case of Content Generation in Online Social Networks. Information Systems Research, 30(1), 117–132. https://doi.org/10.1287/isre.2018.0790
Confidence sets for network structure
Statistical Analysis and Data Mining / Sep 09, 2011
Airoldi, E. M., Choi, D. S., & Wolfe, P. J. (2011). Confidence sets for network structure. Statistical Analysis and Data Mining, 4(5), 461–469. https://doi.org/10.1002/sam.10136
Network sampling and classification: An investigation of network model representations
Decision Support Systems / Jun 01, 2011
Airoldi, E. M., Bai, X., & Carley, K. M. (2011). Network sampling and classification: An investigation of network model representations. Decision Support Systems, 51(3), 506–518. https://doi.org/10.1016/j.dss.2011.02.014
An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains
Decision Support Systems / Apr 01, 2011
Airoldi, E. M., Bai, X., & Malin, B. A. (2011). An entropy approach to disclosure risk assessment: Lessons from real applications and simulated domains. Decision Support Systems, 51(1), 10–20. https://doi.org/10.1016/j.dss.2010.11.014
See Full Profile
Jeffrey Townsend
Professor of Biostatistics and Ecology & Evolutionary Biology
Most Relevant Research Expertise
Other Research Expertise (52)
About
Most Relevant Publications (3+)
207 total publications
Identifying modules of cooperating cancer drivers
Molecular Systems Biology / Mar 01, 2021
Klein, M. I., Cannataro, V. L., Townsend, J. P., Newman, S., Stern, D. F., & Zhao, H. (2021). Identifying modules of cooperating cancer drivers. Molecular Systems Biology, 17(3). Portico. https://doi.org/10.15252/msb.20209810
Bringing Web 2.0 to bioinformatics
Briefings in Bioinformatics / Oct 08, 2008
Zhang, Z., Cheung, K.-H., & Townsend, J. P. (2008). Bringing Web 2.0 to bioinformatics. Briefings in Bioinformatics, 10(1), 1–10. https://doi.org/10.1093/bib/bbn041
A Bayesian method for analysing spotted microarray data
Briefings in Bioinformatics / Jan 01, 2005
Meiklejohn, C. D., & Townsend, J. P. (2005). A Bayesian method for analysing spotted microarray data. Briefings in Bioinformatics, 6(4), 318–330. https://doi.org/10.1093/bib/6.4.318
See Full Profile
Jim Samuel
Associate Professor at Rutgers University
Most Relevant Research Expertise
Other Research Expertise (21)
About
Most Relevant Publications (5+)
44 total publications
Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data
Journal of Information Technology / Feb 24, 2023
Fast, V., Schnurr, D., & Wohlfarth, M. (2023). Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data. Journal of Information Technology, 026839622211143. https://doi.org/10.1177/02683962221114394
Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods
Information / May 26, 2023
Jain, P. H., Kumar, V., Samuel, J., Singh, S., Mannepalli, A., & Anderson, R. (2023). Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods. Information, 14(6), 305. https://doi.org/10.3390/info14060305
Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations
International Journal of Information Management / Aug 01, 2022
Samuel, J., Kashyap, R., Samuel, Y., & Pelaez, A. (2022). Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations. International Journal of Information Management, 65, 102505. https://doi.org/10.1016/j.ijinfomgt.2022.102505
Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation
Decision Support Systems / May 01, 2021
Garvey, M. D., Samuel, J., & Pelaez, A. (2021). Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation. Decision Support Systems, 144, 113497. https://doi.org/10.1016/j.dss.2021.113497
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
Information / Jun 11, 2020
Samuel, J., Ali, G. G. Md. N., Rahman, Md. M., Esawi, E., & Samuel, Y. (2020). COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. Information, 11(6), 314. https://doi.org/10.3390/info11060314
See Full Profile
Catherine Tucker
Advertising & Economics Professor at MIT
Most Relevant Research Expertise
Other Research Expertise (23)
About
Most Relevant Publications (1+)
94 total publications
Active Social Media Management: The Case of Health Care
Information Systems Research / Mar 01, 2013
Miller, A. R., & Tucker, C. (2013). Active Social Media Management: The Case of Health Care. Information Systems Research, 24(1), 52–70. https://doi.org/10.1287/isre.1120.0466
See Full Profile
Dr. Haikun Huang, Ph.D.
Chief Technology Officer at Great Victory Legends
Most Relevant Research Expertise
Other Research Expertise (25)
About
Most Relevant Publications (1+)
34 total publications
Physiological responses and enjoyment of Kinect-based exergames in older adults at risk for falls: A feasibility study
Technology and Health Care / Jul 23, 2019
Ogawa, E., Huang, H., Yu, L.-F., & You, T. (2019). Physiological responses and enjoyment of Kinect-based exergames in older adults at risk for falls: A feasibility study. Technology and Health Care, 27(4), 353–362. https://doi.org/10.3233/thc-191634
See Full Profile
Denys Dutykh
Professional Applied Mathematician, Modeller, and Advisor
Most Relevant Research Expertise
Other Research Expertise (50)
About
Most Relevant Publications (1+)
186 total publications
Flight Trajectories Optimization of Fixed-Wing UAV by Bank-Turn Mechanism
Drones / Mar 07, 2022
Machmudah, A., Shanmugavel, M., Parman, S., Manan, T. S. A., Dutykh, D., Beddu, S., & Rajabi, A. (2022). Flight Trajectories Optimization of Fixed-Wing UAV by Bank-Turn Mechanism. Drones, 6(3), 69. https://doi.org/10.3390/drones6030069
See Full Profile
Suhang Wang
Professor at Pennsylvania State University
Most Relevant Research Expertise
Other Research Expertise (20)
About
Most Relevant Publications (4+)
92 total publications
FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media
Big Data / Jun 01, 2020
Shu, K., Mahudeswaran, D., Wang, S., Lee, D., & Liu, H. (2020). FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media. Big Data, 8(3), 171–188. https://doi.org/10.1089/big.2020.0062
Exploring Hierarchical Structures for Recommender Systems
IEEE Transactions on Knowledge and Data Engineering / Jun 01, 2018
Wang, S., Tang, J., Wang, Y., & Liu, H. (2018). Exploring Hierarchical Structures for Recommender Systems. IEEE Transactions on Knowledge and Data Engineering, 30(6), 1022–1035. https://doi.org/10.1109/tkde.2018.2789443
Facilitating Time Critical Information Seeking in Social Media
IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2017
Ranganath, S., Wang, S., Hu, X., Tang, J., & Liu, H. (2017). Facilitating Time Critical Information Seeking in Social Media. IEEE Transactions on Knowledge and Data Engineering, 29(10), 2197–2209. https://doi.org/10.1109/tkde.2017.2701375
Self-Supervised learning for Conversational Recommendation
Information Processing & Management / Nov 01, 2022
Li, S., Xie, R., Zhu, Y., Zhuang, F., Tang, Z., Zhao, W. X., & He, Q. (2022). Self-Supervised learning for Conversational Recommendation. Information Processing & Management, 59(6), 103067. https://doi.org/10.1016/j.ipm.2022.103067
See Full Profile
Vivek Singh
Rutgers Professor, MIT alum, CS PhD, AI expert
Most Relevant Research Expertise
Other Research Expertise (24)
About
Most Relevant Publications (6+)
95 total publications
Detecting fake news stories via multimodal analysis
Journal of the Association for Information Science and Technology / May 04, 2020
Singh, V. K., Ghosh, I., & Sonagara, D. (2020). Detecting fake news stories via multimodal analysis. Journal of the Association for Information Science and Technology, 72(1), 3–17. Portico. https://doi.org/10.1002/asi.24359
If it looks like a spammer and behaves like a spammer, it must be a spammer: analysis and detection of microblogging spam accounts
International Journal of Information Security / Feb 20, 2016
Almaatouq, A., Shmueli, E., Nouh, M., Alabdulkareem, A., Singh, V. K., Alsaleh, M., Alarifi, A., Alfaris, A., & Pentland, A. ‘Sandy.’ (2016). If it looks like a spammer and behaves like a spammer, it must be a spammer: analysis and detection of microblogging spam accounts. International Journal of Information Security, 15(5), 475–491. https://doi.org/10.1007/s10207-016-0321-5
Female librarians and male computer programmers? Gender bias in occupational images on digital media platforms
Journal of the Association for Information Science and Technology / Jan 22, 2020
Singh, V. K., Chayko, M., Inamdar, R., & Floegel, D. (2020). Female librarians and male computer programmers? Gender bias in occupational images on digital media platforms. Journal of the Association for Information Science and Technology, 71(11), 1281–1294. Portico. https://doi.org/10.1002/asi.24335
Phones, privacy, and predictions
Online Information Review / Oct 23, 2018
Ghosh, I., & Singh, V. (2018). Phones, privacy, and predictions: A study of phone logged data to predict privacy attitudes of individuals. Online Information Review, 44(2), 483–502. https://doi.org/10.1108/oir-03-2018-0112
Altrumetrics: Inferring Altruism Propensity Based on Mobile Phone Use Patterns
IEEE Transactions on Big Data / Jun 01, 2021
Bati, G. F., & Singh, V. K. (2021). Altrumetrics: Inferring Altruism Propensity Based on Mobile Phone Use Patterns. IEEE Transactions on Big Data, 7(2), 397–406. https://doi.org/10.1109/tbdata.2018.2873346
“Not all my friends are friends”: Audience‐group‐based nudges for managing location privacy
Journal of the Association for Information Science and Technology / Oct 14, 2021
Ghosh, I., & Singh, V. (2021). “Not all my friends are friends”: Audience‐group‐based nudges for managing location privacy. Journal of the Association for Information Science and Technology, 73(6), 797–810. Portico. https://doi.org/10.1002/asi.24580
See Full Profile
Shion Guha
Assistant Professor at University of Toronto
Most Relevant Research Expertise
Other Research Expertise (24)
About
Most Relevant Publications (3+)
89 total publications
Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence?
Journal of the Association for Information Science and Technology / Apr 28, 2017
Baumer, E. P. S., Mimno, D., Guha, S., Quan, E., & Gay, G. K. (2017). Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence? Journal of the Association for Information Science and Technology, 68(6), 1397–1410. Portico. https://doi.org/10.1002/asi.23786
Cross‐campus collaboration: A scientometric and network case study of publication activity across two campuses of a single institution
Journal of the American Society for Information Science and Technology / Dec 05, 2012
Birnholtz, J., Guha, S., Yuan, Y. C., Gay, G., & Heller, C. (2012). Cross‐campus collaboration: A scientometric and network case study of publication activity across two campuses of a single institution. Journal of the American Society for Information Science and Technology, 64(1), 162–172. Portico. https://doi.org/10.1002/asi.22807
Thwarting location privacy protection in location‐based social discovery services
Security and Communication Networks / Feb 04, 2016
Xue, M., Liu, Y., Ross, K. W., & Qian, H. (2016). Thwarting location privacy protection in location‐based social discovery services. Security and Communication Networks, 9(11), 1496–1508. Portico. https://doi.org/10.1002/sec.1438
See Full Profile
Example Information Systems projects
How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Information Systems?
Optimizing Supply Chain Management
An academic researcher in Information Systems can help companies optimize their supply chain management processes. By analyzing data and implementing advanced algorithms, researchers can identify bottlenecks, reduce costs, and improve overall efficiency.
Enhancing Cybersecurity Measures
With the increasing threat of cyber attacks, companies can benefit from collaborating with an academic researcher in Information Systems to enhance their cybersecurity measures. Researchers can develop innovative solutions, conduct vulnerability assessments, and provide recommendations to strengthen the company's security infrastructure.
Implementing Data Analytics Strategies
Data analytics is crucial for companies to make informed business decisions. An academic researcher in Information Systems can help companies implement data analytics strategies by developing predictive models, analyzing large datasets, and providing insights that can drive business growth.
Designing User-Friendly Interfaces
User experience is a key factor in the success of digital products and services. By collaborating with an academic researcher in Information Systems, companies can benefit from expertise in designing user-friendly interfaces. Researchers can conduct usability studies, gather user feedback, and optimize the user experience to enhance customer satisfaction.
Integrating Emerging Technologies
Emerging technologies such as artificial intelligence, blockchain, and Internet of Things (IoT) have the potential to transform industries. Academic researchers in Information Systems can help companies explore and integrate these technologies into their existing systems, enabling them to innovate and gain a competitive edge.