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.

Experts on NotedSource with backgrounds in information systems include Jim Samuel, Edoardo Airoldi, Jeffrey Townsend, Suhang Wang, Anindya Ghose, Ping Luo, Anna Jobin, Jennifer Aaker, Dan Baack, Mark Ryan, Athul Prasad, Catherine Tucker, Dr. Abdussalam Elhanashi, Panos Ipeirotis, Josephina Antoniou, Kevin Parker, Chloe Goldbach, Ph.D., Bernd Stahl, Kayvan Najarian, Christophe Schinckus, Yasmeen George, David Studholme, Bianca Trinkenreich, Paul Schrater, and Daniel Greenfield.

Jim Samuel

Associate Professor at Rutgers University
Most Relevant Research Interests
Information Systems
Other Research Interests (31)
Analytics
Information Science
Big data
Finance
Applied Artificial Intelligence
And 26 more
About
Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 
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

Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Information Systems
Other Research Interests (57)
Statistics
Causal Inference
Network Science
Statistical Machine Learning
Computational Biology
And 52 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.
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

Jeffrey Townsend

New Haven, CT
Professor of Biostatistics and Ecology & Evolutionary Biology
Most Relevant Research Interests
Information Systems
Other Research Interests (71)
Statistics
cancer genetics
disease modeling
antibiotic resistance
Evolutionary Genomics
And 66 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.
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

Suhang Wang

Professor at Pennsylvania State University
Most Relevant Research Interests
Information Systems
Other Research Interests (28)
Machine learning
data mining
social media mining
deep learning
Graph Mining
And 23 more
About
Dr. Suhang Wang is an Assistant Professor of Computer Science and Engineering at Pennsylvania State University. He received his PhD in Computer Science from Arizona State University in 2018, and his Master's degree in Electrical Engineering: Systems from the University of Michigan in 2013. Before joining Penn State, Dr. Wang was a postdoctoral researcher at the University of California, Santa Barbara. His research interests include natural language processing, artificial intelligence, and machine learning. He was recognized for his work at the International Conference on Knowledge Discovery and Data Mining in 2017 and the Fifth ACM International Conference on Web Search and Data Mining in 2016.
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

Anindya Ghose

Heinz Riehl Chair Professor of Business, NYU Stern
Most Relevant Research Interests
Information Systems
Other Research Interests (23)
Data Science
Mobile
Data Privacy
Digital Marketing
Digital Platforms
And 18 more
About
Dr. Anindya Ghose is the Heinz Riehl Chair Professor of Business at New York University Stern School of Business. His research interests are in the areas of IT-enabled platforms, services and products, including mobile apps, social media, digital marketplaces, and big data analytics. He has also done work on understanding consumer behavior in digital environments. He has published over 130 papers in academic journals and has been honored with several best paper awards. He has also served on the editorial boards of several journals, including Management Science, Information Systems Research, and MIS Quarterly. He is a Fellow of the Institute for Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM).
Most Relevant Publications (22+)

86 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

Mark Ryan

Digital Ethics Researcher at Wageningen Economic Research
Most Relevant Research Interests
Information Systems
Other Research Interests (39)
Digital Ethics
Philosophy of Technology
Environmental Ethics
AI Ethics
Data Ethics
And 34 more
About
Ryan’s primary research focuses on the ethical issues surrounding artificial intelligence and digital technology. He has published numerous papers on the topic, and has presented his work at various international conferences. He is also a member of the Association for Computing Machinery’s (ACM) Committee on Professional Ethics (COPE). Mark was previously a researcher at KTH University (Stockholm), the University of Twente (the Netherlands), and the National University of Ireland, Galway (Ireland). While at Twente, he worked on an interdisciplinary  project (SHERPA), involving 11 partners from 6 European countries. This project was a European Union Horizon 2020 project (2018-2021, budget €3 million) and focused on the ethical, social and human rights implications of smart information systems (data analytics and artificial intelligence) within a European context. He has published on topics, such as the ethics of smart cities, self-driving vehicles, agricultural data analytics, social robotics, and AI. In his previous research, he has also published a 2016 monograph: Human Values, Environmental Ethics and Sustainability.
Most Relevant Publications (1+)

40 total publications

AI for Not Bad

Frontiers in Big Data / Sep 11, 2019

Moore, J. (2019). AI for Not Bad. Frontiers in Big Data, 2. https://doi.org/10.3389/fdata.2019.00032

Athul Prasad

5G / 6G Technology and Ventures at Samsung; D.Sc. (Tech), MBA
Most Relevant Research Interests
Information Systems
Other Research Interests (41)
Machine Learning
Mobility Management
5G / New Radio
Dynamic Resource Allocation
Electrical and Electronic Engineering
And 36 more
About
Dr. Athul Prasad received his MBA from MIT where he was a Sloan Fellow, M.Sc. (Tech.) (with distinction) and D.Sc. (Tech) from Aalto University, B.Tech (with distinction) from University of Kerala, and is also a graduate of the year-long executive management (LEAD) program from Stanford University's Graduate School of Business. He was with Nokia from 2014-2023 and is currently with Samsung based out of Mountain View, CA. He has coauthored over 40 peer reviewed scientific publications and has written a book on 5G "End-to-End Mobile Communications: Evolution to 5G," McGraw-Hill, Aug. 2020. He's also the co-inventor of over 90 patents.
Most Relevant Publications (2+)

75 total publications

Recent Trends in Standards Related to the Internet of Things and Machine-to-Machine Communications

Journal of information and communication convergence engineering / Dec 31, 2014

Husain, S., Prasad, A., Kunz, A., Papageorgiou, A., & Song, J. (2014). Recent Trends in Standards Related to the Internet of Things and Machine-to-Machine Communications. Journal of Information and Communication Convergence Engineering, 12(4), 228–236. https://doi.org/10.6109/jicce.2014.12.4.228

Wide-area IP multicast traffic characterization

IEEE Network / Jan 01, 2003

Beverly, R., & Claffy, K. C. (2003). Wide-area IP multicast traffic characterization. IEEE Network, 17(1), 8–15. https://doi.org/10.1109/mnet.2003.1174172

Dr. Abdussalam Elhanashi

Researcher at University of Pisa
Most Relevant Research Interests
Information Systems
Other Research Interests (23)
Machine learning Deep learning and Imaging processing IoT devices Object detection Embedded system
Electrical and Electronic Engineering
Computer Science Applications
Modeling and Simulation
General Engineering
And 18 more
About
Dr Abdussalam is a researcher at the Università di Pisa, Italia. He received M.Sc. degree in Electronic Engineering from the University of Glasgow in Scotland in 2018. He authored and co-authored several scientific articles in international conferences and journals . He is a member IET , and a member of IEEE. His current research interests are Deep learning, imaging processing, medical images, embedded systems, Power optimization management and IoT devices.
Most Relevant Publications (6+)

28 total publications

Real-time video fire/smoke detection based on CNN in antifire surveillance systems

Journal of Real-Time Image Processing / Nov 10, 2020

Saponara, S., Elhanashi, A., & Gagliardi, A. (2020). Real-time video fire/smoke detection based on CNN in antifire surveillance systems. Journal of Real-Time Image Processing, 18(3), 889–900. https://doi.org/10.1007/s11554-020-01044-0

Implementing a real-time, AI-based, people detection and social distancing measuring system for Covid-19

Journal of Real-Time Image Processing / Jan 21, 2021

Saponara, S., Elhanashi, A., & Gagliardi, A. (2021). Implementing a real-time, AI-based, people detection and social distancing measuring system for Covid-19. Journal of Real-Time Image Processing, 18(6), 1937–1947. https://doi.org/10.1007/s11554-021-01070-6

Developing a real-time social distancing detection system based on YOLOv4-tiny and bird-eye view for COVID-19

Journal of Real-Time Image Processing / Feb 22, 2022

Saponara, S., Elhanashi, A., & Zheng, Q. (2022). Developing a real-time social distancing detection system based on YOLOv4-tiny and bird-eye view for COVID-19. Journal of Real-Time Image Processing, 19(3), 551–563. https://doi.org/10.1007/s11554-022-01203-5

An integrated and real-time social distancing, mask detection, and facial temperature video measurement system for pandemic monitoring

Journal of Real-Time Image Processing / Aug 16, 2023

Elhanashi, A., Saponara, S., Dini, P., Zheng, Q., Morita, D., & Raytchev, B. (2023). An integrated and real-time social distancing, mask detection, and facial temperature video measurement system for pandemic monitoring. Journal of Real-Time Image Processing, 20(5). https://doi.org/10.1007/s11554-023-01353-0

MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems

Drones / Sep 22, 2023

Zheng, Q., Tian, X., Yu, Z., Ding, Y., Elhanashi, A., Saponara, S., & Kpalma, K. (2023). MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems. Drones, 7(10), 596. https://doi.org/10.3390/drones7100596

A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data

Big Data and Cognitive Computing / Jul 15, 2023

Tian, X., Zheng, Q., Yu, Z., Yang, M., Ding, Y., Elhanashi, A., Saponara, S., & Kpalma, K. (2023). A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data. Big Data and Cognitive Computing, 7(3), 131. https://doi.org/10.3390/bdcc7030131

Panos Ipeirotis

Professor at New York University
Most Relevant Research Interests
Information Systems
Other Research Interests (33)
Crowdsourcing
Data Quality
Text Analytics using Economics
Economics and Econometrics
Applied Psychology
And 28 more
About
Crowdsourcing,machine learning, databases,Online Labor Markets,Social Media Analytics,Data Mining,Information Retrieval
Most Relevant Publications (17+)

97 total publications

Duplicate Record Detection: A Survey

IEEE Transactions on Knowledge and Data Engineering / Jan 01, 2007

Elmagarmid, A. K., Ipeirotis, P. G., & Verykios, V. S. (2007). Duplicate Record Detection: A Survey. IEEE Transactions on Knowledge and Data Engineering, 19(1), 1–16. https://doi.org/10.1109/tkde.2007.250581

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

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

Facilitating Document Annotation Using Content and Querying Value

IEEE Transactions on Knowledge and Data Engineering / Feb 01, 2014

Ruiz, E. J., Hristidis, V., & Ipeirotis, P. G. (2014). Facilitating Document Annotation Using Content and Querying Value. IEEE Transactions on Knowledge and Data Engineering, 26(2), 336–349. https://doi.org/10.1109/tkde.2012.224

Cost-Effective Quality Assurance in Crowd Labeling

Information Systems Research / Mar 01, 2017

Wang, J., Ipeirotis, P. G., & Provost, F. (2017). Cost-Effective Quality Assurance in Crowd Labeling. Information Systems Research, 28(1), 137–158. https://doi.org/10.1287/isre.2016.0661

Beat the Machine

Journal of Data and Information Quality / Mar 04, 2015

Attenberg, J., Ipeirotis, P., & Provost, F. (2015). Beat the Machine. Journal of Data and Information Quality, 6(1), 1–17. https://doi.org/10.1145/2700832

Repeated labeling using multiple noisy labelers

Data Mining and Knowledge Discovery / Mar 16, 2013

Ipeirotis, P. G., Provost, F., Sheng, V. S., & Wang, J. (2013). Repeated labeling using multiple noisy labelers. Data Mining and Knowledge Discovery, 28(2), 402–441. https://doi.org/10.1007/s10618-013-0306-1

Answering General Time-Sensitive Queries

IEEE Transactions on Knowledge and Data Engineering / Feb 01, 2012

Dakka, W., Gravano, L., & Ipeirotis, P. (2012). Answering General Time-Sensitive Queries. IEEE Transactions on Knowledge and Data Engineering, 24(2), 220–235. https://doi.org/10.1109/tkde.2010.187

Relevance-Based Retrieval on Hidden-Web Text Databases without Ranking Support

IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2011

Hristidis, V., Hu, Y., & Ipeirotis, P. (2011). Relevance-Based Retrieval on Hidden-Web Text Databases without Ranking Support. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1555–1568. https://doi.org/10.1109/tkde.2010.183

A quality-aware optimizer for information extraction

ACM Transactions on Database Systems / Apr 01, 2009

Jain, A., & Ipeirotis, P. G. (2009). A quality-aware optimizer for information extraction. ACM Transactions on Database Systems, 34(1), 1–48. https://doi.org/10.1145/1508857.1508862

Building query optimizers for information extraction

ACM SIGMOD Record / Mar 20, 2009

Jain, A., Ipeirotis, P., & Gravano, L. (2009). Building query optimizers for information extraction. ACM SIGMOD Record, 37(4), 28–34. https://doi.org/10.1145/1519103.1519108

Classification-aware hidden-web text database selection

ACM Transactions on Information Systems / Mar 01, 2008

Ipeirotis, P. G., & Gravano, L. (2008). Classification-aware hidden-web text database selection. ACM Transactions on Information Systems, 26(2), 1–66. https://doi.org/10.1145/1344411.1344412

Modeling and managing changes in text databases

ACM Transactions on Database Systems / Aug 01, 2007

Ipeirotis, P. G., Ntoulas, A., Cho, J., & Gravano, L. (2007). Modeling and managing changes in text databases. ACM Transactions on Database Systems, 32(3), 14. https://doi.org/10.1145/1272743.1272744

TOIS reviewers January 2006 through May 2007

ACM Transactions on Information Systems / Oct 01, 2007

Marchionini, G. (Ed.). (2007). TOIS reviewers January 2006 through May 2007. ACM Transactions on Information Systems, 25(4), 15. https://doi.org/10.1145/1281485.1281486

Towards a query optimizer for text-centric tasks

ACM Transactions on Database Systems / Nov 01, 2007

Ipeirotis, P. G., Agichtein, E., Jain, P., & Gravano, L. (2007). Towards a query optimizer for text-centric tasks. ACM Transactions on Database Systems, 32(4), 21. https://doi.org/10.1145/1292609.1292611

QProber

ACM Transactions on Information Systems / Jan 01, 2003

Gravano, L., Ipeirotis, P. G., & Sahami, M. (2003). QProber. ACM Transactions on Information Systems, 21(1), 1–41. https://doi.org/10.1145/635484.635485

Probe, count, and classify

ACM SIGMOD Record / May 01, 2001

Ipeirotis, P. G., Gravano, L., & Sahami, M. (2001). Probe, count, and classify. ACM SIGMOD Record, 30(2), 67–78. https://doi.org/10.1145/376284.375671

Bernd Stahl

Director of the Centre for Computing and Social Responsibility
Most Relevant Research Interests
information systems
Other Research Interests (67)
critical theory
computer ethics
information ethics
responsible innovation
Computer Science Applications
And 62 more
Most Relevant Publications (19+)

145 total publications

The ethical nature of critical research in information systems

Information Systems Journal / Mar 01, 2008

Stahl, B. C. (2008). The ethical nature of critical research in information systems. Information Systems Journal, 18(2), 137–163. https://doi.org/10.1111/j.1365-2575.2007.00283.x

From computer ethics to responsible research and innovation in ICT

Information & Management / Sep 01, 2014

Stahl, B. C., Eden, G., Jirotka, M., & Coeckelbergh, M. (2014). From computer ethics to responsible research and innovation in ICT. Information & Management, 51(6), 810–818. https://doi.org/10.1016/j.im.2014.01.001

Morality, Ethics, and Reflection: A Categorization of Normative IS Research

Journal of the Association for Information Systems / Aug 01, 2012

Stahl, B. (2012). Morality, Ethics, and Reflection: A Categorization of Normative IS Research. Journal of the Association for Information Systems, 13(8), 636–656. https://doi.org/10.17705/1jais.00304

Critical Discourse Analysis as a Review Methodology: An Empirical Example

Communications of the Association for Information Systems / Jan 01, 2015

Wall, J. D., Stahl, B. C., & Salam, A. F. (2015). Critical Discourse Analysis as a Review Methodology: An Empirical Example. Communications of the Association for Information Systems, 37. https://doi.org/10.17705/1cais.03711

Cultural Universality Versus Particularity in CMC

Journal of Global Information Technology Management / Oct 01, 2004

Stahl, B. C., & Elbeltagi, I. (2004). Cultural Universality Versus Particularity in CMC. Journal of Global Information Technology Management, 7(4), 47–65. https://doi.org/10.1080/1097198x.2004.10856384

Philosophy and information systems: where are we and where should we go?

European Journal of Information Systems / May 04, 2018

Hassan, N. R., Mingers, J., & Stahl, B. (2018). Philosophy and information systems: where are we and where should we go? European Journal of Information Systems, 27(3), 263–277. https://doi.org/10.1080/0960085x.2018.1470776

ETHICS, Morality and Critique: An Essay on Enid Mumford¡¯s Socio-Technical Approach

Journal of the Association for Information Systems / Sep 01, 2007

Stahl, B. (2007). ETHICS, Morality and Critique: An Essay on Enid Mumford¡¯s Socio-Technical Approach. Journal of the Association for Information Systems, 8(9), 479–490. https://doi.org/10.17705/1jais.00138

Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence

International Journal of Information Management / Feb 01, 2022

STAHL, B. C. (2022). Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence. International Journal of Information Management, 62, 102441. https://doi.org/10.1016/j.ijinfomgt.2021.102441

On Quality and Communication: The Relevance of Critical Theory to Health Informatics

Journal of the Association for Information Systems / Mar 01, 2011

Shaw, M., & Stahl, B. (2011). On Quality and Communication: The Relevance of Critical Theory to Health Informatics. Journal of the Association for Information Systems, 12(3), 255–273. https://doi.org/10.17705/1jais.00261

A critical perspective of engagement in online health communities

European Journal of Information Systems / May 30, 2019

Hur, I., Cousins, K. C., & Stahl, B. C. (2019). A critical perspective of engagement in online health communities. European Journal of Information Systems, 28(5), 523–548. https://doi.org/10.1080/0960085x.2019.1620477

Digital Wildfires

ACM Transactions on Information Systems / Apr 20, 2016

Webb, H., Burnap, P., Procter, R., Rana, O., Stahl, B. C., Williams, M., Housley, W., Edwards, A., & Jirotka, M. (2016). Digital Wildfires. ACM Transactions on Information Systems, 34(3), 1–23. https://doi.org/10.1145/2893478

Interpretive accounts and fairy tales: a critical polemic against the empiricist bias in interpretive IS research

European Journal of Information Systems / Jan 01, 2014

Stahl, B. C. (2014). Interpretive accounts and fairy tales: a critical polemic against the empiricist bias in interpretive IS research. European Journal of Information Systems, 23(1), 1–11. https://doi.org/10.1057/ejis.2012.58

Tomorrow’s ethics and today’s response: An investigation into the ways information systems professionals perceive and address emerging ethical issues

Information Systems Frontiers / Mar 29, 2014

Wakunuma, K. J., & Stahl, B. C. (2014). Tomorrow’s ethics and today’s response: An investigation into the ways information systems professionals perceive and address emerging ethical issues. Information Systems Frontiers, 16(3), 383–397. https://doi.org/10.1007/s10796-014-9490-9

Information security policies in the UK healthcare sector: a critical evaluation

Information Systems Journal / Jul 05, 2011

Stahl, B. C., Doherty, N. F., & Shaw, M. (2011). Information security policies in the UK healthcare sector: a critical evaluation. Information Systems Journal, 22(1), 77–94. https://doi.org/10.1111/j.1365-2575.2011.00378.x

Responsible research and innovation in information systems

European Journal of Information Systems / May 01, 2012

Stahl, B. C. (2012). Responsible research and innovation in information systems. European Journal of Information Systems, 21(3), 207–211. https://doi.org/10.1057/ejis.2012.19

Focus groups and critical social IS research: how the choice of method can promote emancipation of respondents and researchers

European Journal of Information Systems / Jul 01, 2011

Stahl, B. C., Tremblay, M. C., & LeRouge, C. M. (2011). Focus groups and critical social IS research: how the choice of method can promote emancipation of respondents and researchers. European Journal of Information Systems, 20(4), 378–394. https://doi.org/10.1057/ejis.2011.21

The inflation of academic intellectual capital: the case for design science research in Europe

European Journal of Information Systems / Jan 01, 2011

Junglas, I., Niehaves, B., Spiekermann, S., Stahl, B. C., Weitzel, T., Winter, R., & Baskerville, R. (2011). The inflation of academic intellectual capital: the case for design science research in Europe. European Journal of Information Systems, 20(1), 1–6. https://doi.org/10.1057/ejis.2010.57

Exploring the relationships between pedagogy, ethics and technology: building a framework for strategy development

Technology, Pedagogy and Education / Mar 01, 2007

Jefferies, P., Carsten‐Stahl, B., & McRobb, S. (2007). Exploring the relationships between pedagogy, ethics and technology: building a framework for strategy development. Technology, Pedagogy and Education, 16(1), 111–126. https://doi.org/10.1080/14759390601168122

The obituary as bricolage: the Mann Gulch disaster and the problem of heroic rationality

European Journal of Information Systems / Dec 01, 2005

Stahl, B. C. (2005). The obituary as bricolage: the Mann Gulch disaster and the problem of heroic rationality. European Journal of Information Systems, 14(5), 487–491. https://doi.org/10.1057/palgrave.ejis.3000560

Kayvan Najarian

Professor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp Engineering
Most Relevant Research Interests
Information Systems
Other Research Interests (59)
biomedical inforamtics
bioinformatics
singal processing
image processing
machine learning
And 54 more
Most Relevant Publications (5+)

106 total publications

Machine learning approaches and databases for prediction of drug–target interaction: a survey paper

Briefings in Bioinformatics / Jan 17, 2020

Bagherian, M., Sabeti, E., Wang, K., Sartor, M. A., Nikolovska-Coleska, Z., & Najarian, K. (2020). Machine learning approaches and databases for prediction of drug–target interaction: a survey paper. Briefings in Bioinformatics, 22(1), 247–269. https://doi.org/10.1093/bib/bbz157

Surface area-based focus criterion for multi-focus image fusion

Information Fusion / Jul 01, 2017

Nejati, M., Samavi, S., Karimi, N., Reza Soroushmehr, S. M., Shirani, S., Roosta, I., & Najarian, K. (2017). Surface area-based focus criterion for multi-focus image fusion. Information Fusion, 36, 284–295. https://doi.org/10.1016/j.inffus.2016.12.009

Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions

Briefings in Bioinformatics / Mar 18, 2020

Bagherian, M., Kim, R. B., Jiang, C., Sartor, M. A., Derksen, H., & Najarian, K. (2020). Coupled matrix–matrix and coupled tensor–matrix completion methods for predicting drug–target interactions. Briefings in Bioinformatics, 22(2), 2161–2171. https://doi.org/10.1093/bib/bbaa025

Adaptive Real-Time Removal of Impulse Noise in Medical Images

Journal of Medical Systems / Oct 02, 2018

HosseinKhani, Z., Hajabdollahi, M., Karimi, N., Soroushmehr, R., Shirani, S., Najarian, K., & Samavi, S. (2018). Adaptive Real-Time Removal of Impulse Noise in Medical Images. Journal of Medical Systems, 42(11). https://doi.org/10.1007/s10916-018-1074-7

Predictability of intracranial pressure level in traumatic brain injury: features extraction, statistical analysis and machine learning-based evaluation

International Journal of Data Mining and Bioinformatics / Jan 01, 2013

Chen, W., Cockrell, C. H., Ward, K., & Najarian, K. (2013). Predictability of intracranial pressure level in traumatic brain injury: features extraction, statistical analysis and machine learning-based evaluation. International Journal of Data Mining and Bioinformatics, 8(4), 480. https://doi.org/10.1504/ijdmb.2013.056617

Christophe Schinckus

Professor & Dean of Faculty of Business and Computing - University of the Fraser Valley, Canada
Most Relevant Research Interests
Information Systems
Other Research Interests (72)
Finance
Blockchain
Econophysics
General Economics, Econometrics and Finance
General Business, Management and Accounting
And 67 more
Most Relevant Publications (3+)

113 total publications

Effects of the internet, mobile, and land phones on income inequality and The Kuznets curve: Cross country analysis

Telecommunications Policy / Nov 01, 2020

Canh, N. P., Schinckus, C., Thanh, S. D., & Hui Ling, F. C. (2020). Effects of the internet, mobile, and land phones on income inequality and The Kuznets curve: Cross country analysis. Telecommunications Policy, 44(10), 102041. https://doi.org/10.1016/j.telpol.2020.102041

An Essay on Financial Information in the Era of Computerization

Journal of Information Technology / Mar 01, 2018

Schinckus, C. (2018). An Essay on Financial Information in the Era of Computerization. Journal of Information Technology, 33(1), 9–18. https://doi.org/10.1057/s41265-016-0027-1

A Modern Epistemological Reading of Agent Orientation

International Journal of Intelligent Information Technologies / Jul 01, 2008

Wautelet, Y., Schinckus, C., & Kolp, M. (2008). A Modern Epistemological Reading of Agent Orientation. International Journal of Intelligent Information Technologies, 4(3), 46–57. https://doi.org/10.4018/jiit.2008070103

Yasmeen George

Lecturer - Faculty of IT at Monash University
Most Relevant Research Interests
Information Systems
Other Research Interests (24)
Artificial Intelligence
Deep/Machine Learning
Image/Data Analytics
Healthcare Analytics
Natural Language Processing
And 19 more
About
Yasmeen is a Lecturer with data science and AI department at Monash Faculty of Information Technology with over a decade of interdisciplinary research experience in AI for healthcare analytics. She received her Ph.D. from the University of Melbourne in 2018 (Australia). Her research focuses on the use of AI for automated medical image analysis for better management of various health conditions including, kidney/breast/skin cancer, glaucoma, psoriasis. She worked on various research projects including event detection in social media streams, AI for automatic systematic reviews, cancer segmentation and classification, disease severity assessment and lesion detection using different data modalities (text, numerical, 2D images, and 3D volumes). Her research work is recognised through serval research publications, 2 patents, several invited talks, and prestigious research grants. Her research interests include AI, data science, NLP, computer vision, and medical image analytics across domains of radiology, pathology, dermatology, and ophthalmology.
Most Relevant Publications (3+)

21 total publications

Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images

IEEE Systems Journal / Sep 01, 2014

George, Y. M., Zayed, H. H., Roushdy, M. I., & Elbagoury, B. M. (2014). Remote Computer-Aided Breast Cancer Detection and Diagnosis System Based on Cytological Images. IEEE Systems Journal, 8(3), 949–964. https://doi.org/10.1109/jsyst.2013.2279415

Real-time spatio-temporal event detection on geotagged social media

Journal of Big Data / Jun 24, 2021

George, Y., Karunasekera, S., Harwood, A., & Lim, K. H. (2021). Real-time spatio-temporal event detection on geotagged social media. Journal of Big Data, 8(1). https://doi.org/10.1186/s40537-021-00482-2

The application of multi-modality medical image fusion based method to cerebral infarction

EURASIP Journal on Image and Video Processing / Aug 16, 2017

Dai, Y., Zhou, Z., & Xu, L. (2017). The application of multi-modality medical image fusion based method to cerebral infarction. EURASIP Journal on Image and Video Processing, 2017(1). https://doi.org/10.1186/s13640-017-0204-3

David Studholme

Senior Lecturer / Associate Professor at University of Exeter
Most Relevant Research Interests
Information Systems
Other Research Interests (55)
Genetics
Multidisciplinary
Molecular Biology
Molecular Medicine
Microbiology
And 50 more
Most Relevant Publications (2+)

190 total publications

Ash leaf metabolomes reveal differences between trees tolerant and susceptible to ash dieback disease

Scientific Data / Dec 19, 2017

Sambles, C. M., Salmon, D. L., Florance, H., Howard, T. P., Smirnoff, N., Nielsen, L. R., McKinney, L. V., Kjær, E. D., Buggs, R. J. A., Studholme, D. J., & Grant, M. (2017). Ash leaf metabolomes reveal differences between trees tolerant and susceptible to ash dieback disease. Scientific Data, 4(1). https://doi.org/10.1038/sdata.2017.190

De novo assembly of short sequence reads

Briefings in Bioinformatics / Aug 19, 2010

Paszkiewicz, K., & Studholme, D. J. (2010). De novo assembly of short sequence reads. Briefings in Bioinformatics, 11(5), 457–472. https://doi.org/10.1093/bib/bbq020

Bianca Trinkenreich

Research Scientist in Human Factors on Software Engineering, Ph.D.
Most Relevant Research Interests
Information Systems
Other Research Interests (11)
Software Engineering
Open Source Software
Measurement
IT Services
GQM+Strategies
And 6 more
Most Relevant Publications (1+)

32 total publications

SINIS: A GQM+Strategies-based approach for identifying goals, strategies and indicators for IT services

Information and Software Technology / Aug 01, 2018

Trinkenreich, B., Santos, G., & Barcellos, M. P. (2018). SINIS: A GQM+Strategies-based approach for identifying goals, strategies and indicators for IT services. Information and Software Technology, 100, 147–164. https://doi.org/10.1016/j.infsof.2018.04.006

Paul Schrater

University of Minnesota
Most Relevant Research Interests
Information Systems
Other Research Interests (43)
Artificial Intelligence
Computational Psychology
Cognitive Science
General Neuroscience
Multidisciplinary
And 38 more
Most Relevant Publications (2+)

96 total publications

Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes

Information Systems Research / Dec 01, 2012

Ketter, W., Collins, J., Gini, M., Gupta, A., & Schrater, P. (2012). Real-Time Tactical and Strategic Sales Management for Intelligent Agents Guided by Economic Regimes. Information Systems Research, 23(4), 1263–1283. https://doi.org/10.1287/isre.1110.0415

Detecting and forecasting economic regimes in multi-agent automated exchanges

Decision Support Systems / Nov 01, 2009

Ketter, W., Collins, J., Gini, M., Gupta, A., & Schrater, P. (2009). Detecting and forecasting economic regimes in multi-agent automated exchanges. Decision Support Systems, 47(4), 307–318. https://doi.org/10.1016/j.dss.2009.05.012

Daniel Greenfield

Ph.D. candidate (anticipated Mar 2023) in Biophysics with a focus on quantitative techniques in biomedicine
Most Relevant Research Interests
Information Systems
Other Research Interests (13)
Machine Learning
Medical Devices
Drug Discovery
Edge Computing
Biomedical Optics
And 8 more
Most Relevant Publications (1+)

10 total publications

Wireless Wearable Sensor Paired With Machine Learning for the Quantification of Tissue Oxygenation

IEEE Internet of Things Journal / Dec 15, 2021

Cascales, J. P., Greenfield, D. A., Roussakis, E., Witthauer, L., Li, X., Goss, A., & Evans, C. L. (2021). Wireless Wearable Sensor Paired With Machine Learning for the Quantification of Tissue Oxygenation. IEEE Internet of Things Journal, 8(24), 17557–17567. https://doi.org/10.1109/jiot.2021.3081044

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.