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, Martin Tsui, Jerry Schnepp, Ph.D., David J. Lilja, Edoardo Airoldi, Jeffrey Townsend, Jim Samuel, Dr Leandra Jordaan, Catherine Tucker, Balamurugan Tangiisuran, Denys Dutykh, Suhang Wang, Dr. Haikun Huang, Ph.D., Anna Jobin, and Anindya Ghose.
Ping Luo
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
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Other Research Expertise (21)
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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
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Martin Tsui
University of California, San Francisco
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Other Research Expertise (15)
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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
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Jerry Schnepp, Ph.D.
Chair of Computer Science, Judson University
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Other Research Expertise (18)
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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
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David J. Lilja
Professor Emeritus of Electrical and Computer Engineering, University of Minnesota
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Other Research Expertise (15)
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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
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Edoardo Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
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Other Research Expertise (43)
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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
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Jeffrey Townsend
Professor of Biostatistics and Ecology & Evolutionary Biology
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Other Research Expertise (52)
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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
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Jim Samuel
Associate Professor at Rutgers University
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Other Research Expertise (21)
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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
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Catherine Tucker
Advertising & Economics Professor at MIT
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Other Research Expertise (23)
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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
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Balamurugan Tangiisuran
Associate Professor in Clinical Pharmacy at Universiti Sains Malaysia
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Other Research Expertise (51)
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Most Relevant Publications (1+)
78 total publications
Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust
International Journal of Information Management / Jun 01, 2017
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
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Denys Dutykh
Professional Applied Mathematician, Modeller, and Advisor
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Other Research Expertise (50)
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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
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Suhang Wang
Professor at Pennsylvania State University
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Other Research Expertise (20)
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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
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Dr. Haikun Huang, Ph.D.
Chief Technology Officer at Great Victory Legends
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Other Research Expertise (25)
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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
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Anna Jobin
Researcher at Alexander von Humboldt Institute for Internet and Society
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Other Research Expertise (20)
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Most Relevant Publications (1+)
31 total publications
Online Evaluation of Creativity and the Arts. Hiesun Cecilia Suhr (ed.).
Digital Scholarship in the Humanities / Jul 09, 2015
Jobin, A. (2015). Online Evaluation of Creativity and the Arts. Hiesun Cecilia Suhr (ed.). Digital Scholarship in the Humanities, 30(4), 609–611. https://doi.org/10.1093/llc/fqv024
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Anindya Ghose
Heinz Riehl Chair Professor of Business, NYU Stern
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Other Research Expertise (21)
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Most Relevant Publications (22+)
84 total publications
Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets
Information Systems Research / Sep 01, 2008
Forman, C., Ghose, A., & Wiesenfeld, B. (2008). Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets. Information Systems Research, 19(3), 291–313. https://doi.org/10.1287/isre.1080.0193
Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2011
Ghose, A., & Ipeirotis, P. G. (2011). Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498–1512. https://doi.org/10.1109/tkde.2010.188
An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets
Information Systems Research / Sep 01, 2013
Burtch, G., Ghose, A., & Wattal, S. (2013). An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets. Information Systems Research, 24(3), 499–519. https://doi.org/10.1287/isre.1120.0468
How Is the Mobile Internet Different? Search Costs and Local Activities
Information Systems Research / Sep 01, 2013
Ghose, A., Goldfarb, A., & Han, S. P. (2013). How Is the Mobile Internet Different? Search Costs and Local Activities. Information Systems Research, 24(3), 613–631. https://doi.org/10.1287/isre.1120.0453
Cultural Differences and Geography as Determinants of Online Prosocial Lending
MIS Quarterly / Jan 01, 2014
Burtch, G., Ghose, A., & Wattal, S. (2014). Cultural Differences and Geography as Determinants of Online Prosocial Lending. MIS Quarterly, 38(3), 773–794. https://doi.org/10.25300/misq/2014/38.3.07
The Economic Incentives for Sharing Security Information
Information Systems Research / Jun 01, 2005
Gal-Or, E., & Ghose, A. (2005). The Economic Incentives for Sharing Security Information. Information Systems Research, 16(2), 186–208. https://doi.org/10.1287/isre.1050.0053
Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact
Information Systems Research / Mar 01, 2006
Ghose, A., Smith, M. D., & Telang, R. (2006). Internet Exchanges for Used Books: An Empirical Analysis of Product Cannibalization and Welfare Impact. Information Systems Research, 17(1), 3–19. https://doi.org/10.1287/isre.1050.0072
Internet Exchanges for Used Goods: An Empirical Analysis of Trade Patterns and Adverse Selection
MIS Quarterly / Jan 01, 2009
Ghose. (2009). Internet Exchanges for Used Goods: An Empirical Analysis of Trade Patterns and Adverse Selection. MIS Quarterly, 33(2), 263. https://doi.org/10.2307/20650292
Internet's Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission
MIS Quarterly / Apr 04, 2014
Chan, J., & Ghose, A. (2014). Internet’s Dirty Secret: Assessing the Impact of Online Intermediaries on HIV Transmission. MIS Quarterly, 38(4), 955–976. https://doi.org/10.25300/misq/2014/38.4.01
Secret Admirers: An Empirical Examination of Information Hiding and Contribution Dynamics in Online Crowdfunding
Information Systems Research / Sep 01, 2016
Burtch, G., Ghose, A., & Wattal, S. (2016). Secret Admirers: An Empirical Examination of Information Hiding and Contribution Dynamics in Online Crowdfunding. Information Systems Research, 27(3), 478–496. https://doi.org/10.1287/isre.2016.0642
Toward a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior
MIS Quarterly / Apr 04, 2016
Ghose, A., & Todri-Adamopoulos, V. (2016). Toward a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior. MIS Quarterly, 40(4), 889–910. https://doi.org/10.25300/misq/2016/40.4.05
The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms
Information Systems Research / Sep 01, 2018
Adamopoulos, P., Ghose, A., & Todri, V. (2018). The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms. Information Systems Research, 29(3), 612–640. https://doi.org/10.1287/isre.2017.0768
The Internet and Racial Hate Crimes: Offline Spillovers from Online Access
MIS Quarterly / Feb 02, 2016
Chan, J., Ghose, A., & Seamans, R. (2016). The Internet and Racial Hate Crimes: Offline Spillovers from Online Access. MIS Quarterly, 40(2), 381–403. https://doi.org/10.25300/misq/2016/40.2.05
Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets
Information Systems Research / Jun 01, 2011
Ghose, A., & Yao, Y. (2011). Using Transaction Prices to Re-Examine Price Dispersion in Electronic Markets. Information Systems Research, 22(2), 269–288. https://doi.org/10.1287/isre.1090.0252
The Impact of Internet Referral Services on a Supply Chain
Information Systems Research / Sep 01, 2007
Ghose, A., Mukhopadhyay, T., & Rajan, U. (2007). The Impact of Internet Referral Services on a Supply Chain. Information Systems Research, 18(3), 300–319. https://doi.org/10.1287/isre.1070.0130
Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel
Information Systems Research / Mar 01, 2020
Todri, V., Ghose, A., & Singh, P. V. (2020). Trade-Offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics Across the Purchase Funnel. Information Systems Research, 31(1), 102–125. https://doi.org/10.1287/isre.2019.0877
The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends
Information Systems Research / Mar 01, 2019
Chan, J., Mojumder, P., & Ghose, A. (2019). The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends. Information Systems Research, 30(1), 219–238. https://doi.org/10.1287/isre.2018.0799
Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps
Information Systems Research / Mar 01, 2019
Ghose, A., Kwon, H. E., Lee, D., & Oh, W. (2019). Seizing the Commuting Moment: Contextual Targeting Based on Mobile Transportation Apps. Information Systems Research, 30(1), 154–174. https://doi.org/10.1287/isre.2018.0792
Empowering Patients Using Smart Mobile Health Platforms: Evidence of a Randomized Field Experiment
MIS Quarterly / Feb 15, 2022
Ghose, A., Guo, X., Li, B., & Dang, Y. (2022). Empowering Patients Using Smart Mobile Health Platforms: Evidence of a Randomized Field Experiment. MIS Quarterly, 46(1), 151–192. https://doi.org/10.25300/misq/2022/16201
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
Information Systems Research / Mar 01, 2019
Zhang, S., Singh, P. V., & Ghose, A. (2019). A Structural Analysis of the Role of Superstars in Crowdsourcing Contests. Information Systems Research, 30(1), 15–33. https://doi.org/10.1287/isre.2017.0767
Research Commentary—Sponsored Search and Market Efficiency
Information Systems Research / Dec 01, 2010
Dhar, V., & Ghose, A. (2010). Research Commentary—Sponsored Search and Market Efficiency. Information Systems Research, 21(4), 760–772. https://doi.org/10.1287/isre.1100.0315
Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process
Information Systems Research / Mar 01, 2021
Adamopoulos, P., Todri, V., & Ghose, A. (2021). Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process. Information Systems Research, 32(1), 238–267. https://doi.org/10.1287/isre.2020.0962
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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.