Work with thought leaders and academic experts in software

Companies can benefit from working with an academic researcher in the field of Software in several ways. Firstly, researchers bring deep knowledge and expertise in the latest software technologies and methodologies. They can help companies stay ahead of the curve and adopt cutting-edge solutions. Secondly, researchers can provide valuable insights and analysis to solve complex software-related problems. They have the ability to conduct in-depth research, identify patterns, and propose innovative solutions. Thirdly, academic researchers often have access to state-of-the-art facilities and resources, which can be leveraged by companies for experimentation and prototyping. Lastly, collaborating with researchers can lead to valuable partnerships and networking opportunities, opening doors to new collaborations and potential funding sources.

Experts on NotedSource with backgrounds in software include Daniel Milej, Ph.D., Edoardo Airoldi, Athul Prasad, Suhang Wang, Anna Jobin, Panos Ipeirotis, Josephina Antoniou, Deep Jariwala, Bernd Stahl, Andrii Golovin, Kayvan Najarian, Bianca Trinkenreich, Elena Di Rosa, Paul Schrater, Nicholas Medina, Muhammad Shahbaz, Upavan Gupta, Ph.D., Niko Popitsch, Tania Lorido, and Dr. Wen Cebuhar, PhD.

Daniel Milej, Ph.D.

London, Ontario, Canada
Ph.D. in biomedical engineering
Most Relevant Research Interests
Software
Other Research Interests (40)
Biomedical Optics
NIRS
fNIRS
Diffuse Correlation Spectroscopy
CBF
And 35 more
About
Dr. Daniel Milej is a multidisciplinary researcher with experience in medical biophysics, electronics, biocybernetics, biomedical optics and engineering. He is highly knowledgeable and experienced in a range of research techniques. He is currently a Research Associate at the Lawson Health Research Institute, leading the transition of multimodal optical imaging systems from a research setting to clinical use in an ICU and OR environment, working closely with teams of nurses, surgeons, doctors and respiratory therapists. Previously he was a postdoctoral fellow working on developing noninvasive modalities for brain activity monitoring in the Department of Medical Biophysics at Western University. Before that, Dr. Milej worked as a researcher at the Nalecz Institute of Biocybernetics and Biomedical Engineering. He obtained his Ph.D. in 2014 from the Polish Academy of Science, specializing in Electronics and Biomedical Engineering. He received his MSc from the Military University of Technology in 2008.
Most Relevant Publications (1+)

91 total publications

Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method

Computer Methods and Programs in Biomedicine / Jan 01, 2020

Żołek, N., Rix, H., & Botwicz, M. (2020). Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method. Computer Methods and Programs in Biomedicine, 183, 105084. https://doi.org/10.1016/j.cmpb.2019.105084

Suhang Wang

Professor at Pennsylvania State University
Most Relevant Research Interests
Software
Other Research Interests (30)
Machine learning
data mining
social media mining
deep learning
Data mining
And 25 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 (5+)

92 total publications

A Generative Model for category text generation

Information Sciences / Jun 01, 2018

Li, Y., Pan, Q., Wang, S., Yang, T., & Cambria, E. (2018). A Generative Model for category text generation. Information Sciences, 450, 301–315. https://doi.org/10.1016/j.ins.2018.03.050

Learning binary codes with neural collaborative filtering for efficient recommendation systems

Knowledge-Based Systems / May 01, 2019

Li, Y., Wang, S., Pan, Q., Peng, H., Yang, T., & Cambria, E. (2019). Learning binary codes with neural collaborative filtering for efficient recommendation systems. Knowledge-Based Systems, 172, 64–75. https://doi.org/10.1016/j.knosys.2019.02.012

Disentangled Variational Auto-Encoder for semi-supervised learning

Information Sciences / May 01, 2019

Li, Y., Pan, Q., Wang, S., Peng, H., Yang, T., & Cambria, E. (2019). Disentangled Variational Auto-Encoder for semi-supervised learning. Information Sciences, 482, 73–85. https://doi.org/10.1016/j.ins.2018.12.057

Towards privacy preserving social recommendation under personalized privacy settings

World Wide Web / Jul 14, 2018

Meng, X., Wang, S., Shu, K., Li, J., Chen, B., Liu, H., & Zhang, Y. (2018). Towards privacy preserving social recommendation under personalized privacy settings. World Wide Web, 22(6), 2853–2881. https://doi.org/10.1007/s11280-018-0620-z

Semi-supervised anomaly detection in dynamic communication networks

Information Sciences / Sep 01, 2021

Meng, X., Wang, S., Liang, Z., Yao, D., Zhou, J., & Zhang, Y. (2021). Semi-supervised anomaly detection in dynamic communication networks. Information Sciences, 571, 527–542. https://doi.org/10.1016/j.ins.2021.04.056

Anna Jobin

Researcher at Alexander von Humboldt Institute for Internet and Society
Most Relevant Research Interests
Software
Other Research Interests (24)
sciene & technology
digital ethics
artificial intelligence
Computer Networks and Communications
Hardware and Architecture
And 19 more
About
Anne Jobin is a Swiss sociologist and researcher who specializes in the areas of science, technology, and society (STS). She holds a Doctor of Social Sciences from Université de Lausanne, and has been a visiting research scholar at Tufts University and Cornell University. She is currently a researcher at the (ETH) and the École Polytechnique Fédérale de Lausanne.
Most Relevant Publications (3+)

31 total publications

AI reflections in 2020

Nature Machine Intelligence / Jan 19, 2021

Jobin, A., Man, K., Damasio, A., Kaissis, G., Braren, R., Stoyanovich, J., Van Bavel, J. J., West, T. V., Mittelstadt, B., Eshraghian, J., Costa-jussà, M. R., Tzachor, A., Jamjoom, A. A. B., Taddeo, M., Sinibaldi, E., Hu, Y., & Luengo-Oroz, M. (2021). AI reflections in 2020. Nature Machine Intelligence, 3(1), 2–8. https://doi.org/10.1038/s42256-020-00281-z

Assisting web search using query suggestion based on word similarity measure and query modification patterns

World Wide Web / Jul 13, 2013

Qumsiyeh, R., & Ng, Y.-K. (2013). Assisting web search using query suggestion based on word similarity measure and query modification patterns. World Wide Web, 17(5), 1141–1160. https://doi.org/10.1007/s11280-013-0235-3

The global landscape of AI ethics guidelines

Nature Machine Intelligence / Sep 02, 2019

Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2

Panos Ipeirotis

Professor at New York University
Most Relevant Research Interests
Software
Other Research Interests (37)
Crowdsourcing
Data Quality
Text Analytics using Economics
Economics and Econometrics
Applied Psychology
And 32 more
About
Crowdsourcing,machine learning, databases,Online Labor Markets,Social Media Analytics,Data Mining,Information Retrieval
Most Relevant Publications (2+)

97 total publications

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

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

Deep Jariwala

Philadelphia, Pennsylvania, United States of America
Assistant Professor: Electrical & Systems Engineering; Materials Science at UPenn
Most Relevant Research Interests
Software
Other Research Interests (33)
General Physics and Astronomy
General Engineering
General Materials Science
Mechanical Engineering
Condensed Matter Physics
And 28 more
About
Early career academic at University of Pennsylvania in Electrical and Systems Engineering department. I am a device and materials engineer with extensive experience in semiconductor fabrication, processing and characterization. My primary interests lie in exploring novel materials for applications in electronic and photonic devices as well as in energy harvesting applications. I am equally interested in studying fundamental physical and quantum phenomena in matter under confined environments and exploiting them for useful technology. Actively searching for funding opportunities, science communication and outreach opportunities as well as research collaborations.
Most Relevant Publications (1+)

99 total publications

Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo

SoftwareX / Jan 01, 2021

Rich Abbott, Thomas D. Abbott, Sheelu Abraham, Fausto Acernese, Kendall Ackley, Carl Adams, Rana X. Adhikari, Vaishali B. Adya, Christoph Affeldt, Michalis Agathos, Kazuhiro Agatsuma, Nancy Aggarwal, Odylio D. Aguiar, Amit Aich, Lorenzo Aiello, Anirban Ain, Ajith Parameswaran, Gabrielle Allen, Annalisa Allocca, … John Zweizig. (2021). Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo. SoftwareX, 13, 100658. https://doi.org/10.1016/j.softx.2021.100658

Bernd Stahl

Director of the Centre for Computing and Social Responsibility
Most Relevant Research Interests
Software
Other Research Interests (70)
critical theory
information systems
computer ethics
information ethics
responsible innovation
And 65 more
Most Relevant Publications (5+)

145 total publications

Ethics of healthcare robotics: Towards responsible research and innovation

Robotics and Autonomous Systems / Dec 01, 2016

Stahl, B. C., & Coeckelbergh, M. (2016). Ethics of healthcare robotics: Towards responsible research and innovation. Robotics and Autonomous Systems, 86, 152–161. https://doi.org/10.1016/j.robot.2016.08.018

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

Responsible Innovation

ITNOW / Aug 14, 2014

Stahl, B. C., Jirotka, M., Eden, G., Timmermans, J., & Hartswood, M. (2014). Responsible Innovation. ITNOW, 56(3), 20–22. https://doi.org/10.1093/itnow/bwu068

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

Andrii Golovin

Electrical Engineering Department, City College of New York
Most Relevant Research Interests
Software
Other Research Interests (22)
optics
optoelectronics
photonics
lasers
material science
And 17 more
Most Relevant Publications (1+)

57 total publications

Nanorods in an electric field create liquid crystals for transformation optics

SPIE Newsroom / Jan 14, 2011

Lavrentovich, O. D., Golovin, A. B., Xiang, J., & Nastishin, Y. A. (2011). Nanorods in an electric field create liquid crystals for transformation optics. SPIE Newsroom. https://doi.org/10.1117/2.1201012.003315

Kayvan Najarian

Professor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp Engineering
Most Relevant Research Interests
Software
Other Research Interests (40)
biomedical inforamtics
bioinformatics
singal processing
image processing
machine learning
And 35 more
Most Relevant Publications (3+)

108 total publications

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

Robust image watermarking scheme using bit-plane of hadamard coefficients

Multimedia Tools and Applications / Jan 28, 2017

Etemad, E., Samavi, S., Reza Soroushmehr, S. M., Karimi, N., Etemad, M., Shirani, S., & Najarian, K. (2017). Robust image watermarking scheme using bit-plane of hadamard coefficients. Multimedia Tools and Applications, 77(2), 2033–2055. https://doi.org/10.1007/s11042-016-4278-1

Boosted Dictionary Learning for Image Compression

IEEE Transactions on Image Processing / Oct 01, 2016

Nejati, M., Samavi, S., Karimi, N., Soroushmehr, S. M. R., & Najarian, K. (2016). Boosted Dictionary Learning for Image Compression. IEEE Transactions on Image Processing, 25(10), 4900–4915. https://doi.org/10.1109/tip.2016.2598483

Bianca Trinkenreich

Research Scientist in Human Factors on Software Engineering, Ph.D.
Most Relevant Research Interests
Software
Other Research Interests (11)
Software Engineering
Open Source Software
Measurement
IT Services
GQM+Strategies
And 6 more
Most Relevant Publications (3+)

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

Women’s Participation in Open Source Software: A Survey of the Literature

ACM Transactions on Software Engineering and Methodology / Aug 22, 2022

Trinkenreich, B., Wiese, I., Sarma, A., Gerosa, M., & Steinmacher, I. (2022). Women’s Participation in Open Source Software: A Survey of the Literature. ACM Transactions on Software Engineering and Methodology, 31(4), 1–37. https://doi.org/10.1145/3510460

Pots of Gold at the End of the Rainbow: What is Success for Open Source Contributors?

IEEE Transactions on Software Engineering / Oct 01, 2022

Trinkenreich, B., Guizani, M., Wiese, I., Conte, T., Gerosa, M., Sarma, A., & Steinmacher, I. (2022). Pots of Gold at the End of the Rainbow: What is Success for Open Source Contributors? IEEE Transactions on Software Engineering, 48(10), 3940–3953. https://doi.org/10.1109/tse.2021.3108032

Paul Schrater

University of Minnesota
Most Relevant Research Interests
Software
Other Research Interests (45)
Artificial Intelligence
Computational Psychology
Cognitive Science
General Neuroscience
Multidisciplinary
And 40 more
Most Relevant Publications (4+)

96 total publications

Optimal Camera Placement for Automated Surveillance Tasks

Journal of Intelligent and Robotic Systems / Oct 03, 2007

Bodor, R., Drenner, A., Schrater, P., & Papanikolopoulos, N. (2007). Optimal Camera Placement for Automated Surveillance Tasks. Journal of Intelligent and Robotic Systems, 50(3), 257–295. https://doi.org/10.1007/s10846-007-9164-7

null

International Journal of Computer Vision / Jan 01, 2000

Schrater, P. R. (2000). International Journal of Computer Vision, 40(1), 71–89. https://doi.org/10.1023/a:1026557704054

Robust target detection and tracking through integration of motion, color, and geometry

Computer Vision and Image Understanding / Aug 01, 2006

Veeraraghavan, H., Schrater, P., & Papanikolopoulos, N. (2006). Robust target detection and tracking through integration of motion, color, and geometry. Computer Vision and Image Understanding, 103(2), 121–138. https://doi.org/10.1016/j.cviu.2006.04.003

Rapid classification of specular and diffuse reflection from image velocities

Pattern Recognition / Sep 01, 2011

Doerschner, K., Kersten, D., & Schrater, P. R. (2011). Rapid classification of specular and diffuse reflection from image velocities. Pattern Recognition, 44(9), 1874–1884. https://doi.org/10.1016/j.patcog.2010.09.007

Upavan Gupta, Ph.D.

Analytics Consulting, Data Science, Risk and Prospecting Models, Credit, Mortgage, Property, and Rental Data Expert
Most Relevant Research Interests
Software
Other Research Interests (16)
Game theory
multi-metric optimization
risk minimization
fuzzy logic
stochastic and linear programming
And 11 more
Most Relevant Publications (2+)

12 total publications

Multievent Crisis Management Using Noncooperative Multistep Games

IEEE Transactions on Computers / May 01, 2007

Gupta, U., & Ranganathan, N. (2007). Multievent Crisis Management Using Noncooperative Multistep Games. IEEE Transactions on Computers, 56(5), 577–589. https://doi.org/10.1109/tc.2007.1023

A Utilitarian Approach to Variation Aware Delay, Power, and Crosstalk Noise Optimization

IEEE Transactions on Very Large Scale Integration (VLSI) Systems / Sep 01, 2011

Gupta, U., & Ranganathan, N. (2011). A Utilitarian Approach to Variation Aware Delay, Power, and Crosstalk Noise Optimization. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 19(9), 1723–1726. https://doi.org/10.1109/tvlsi.2010.2053394

Tania Lorido

Roblox
Most Relevant Research Interests
Software
Software
Other Research Interests (10)
Machine Learning
ML for systems
Cloud computing
Reinforcement Learning
Computer Networks and Communications
And 5 more
Most Relevant Publications (2+)

14 total publications

A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments

Journal of Grid Computing / Oct 11, 2014

Lorido-Botran, T., Miguel-Alonso, J., & Lozano, J. A. (2014). A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments. Journal of Grid Computing, 12(4), 559–592. https://doi.org/10.1007/s10723-014-9314-7

A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments

Journal of Grid Computing / Oct 11, 2014

Lorido-Botran, T., Miguel-Alonso, J., & Lozano, J. A. (2014). A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments. Journal of Grid Computing, 12(4), 559–592. https://doi.org/10.1007/s10723-014-9314-7

Dr. Wen Cebuhar, PhD

ASML
Most Relevant Research Interests
Software
Other Research Interests (34)
Semiconductors
Control Systems
Advanced Mechatronics
Applied Mathematics
Management Science and Operations Research
And 29 more
Most Relevant Publications (1+)

14 total publications

APPROXIMATE LINEARIZATION OF CONTROL SYSTEMS WITH DISCONTINUOUS NON‐LINEARITIES

Optimal Control Applications and Methods / Oct 01, 1995

Cebuhar, W. A. (1995). APPROXIMATE LINEARIZATION OF CONTROL SYSTEMS WITH DISCONTINUOUS NON‐LINEARITIES. Optimal Control Applications and Methods, 16(5), 341–359. Portico. https://doi.org/10.1002/j.1099-1514.1995.tb00025.x

Example software projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on software?

Optimizing Software Performance

A company in the gaming industry can collaborate with a software academic researcher to optimize the performance of their gaming software. The researcher can analyze the code, identify bottlenecks, and propose optimizations to enhance the gaming experience for users.

Cybersecurity Solutions

A financial institution can partner with a software academic researcher to develop robust cybersecurity solutions. The researcher can conduct research on emerging threats, develop algorithms for threat detection, and propose strategies to mitigate risks.

Machine Learning Algorithms

An e-commerce company can work with a software academic researcher to develop machine learning algorithms for personalized product recommendations. The researcher can analyze customer data, build predictive models, and optimize the recommendation engine for better conversion rates.

Software Testing Automation

A software development company can collaborate with a software academic researcher to automate their testing processes. The researcher can develop testing frameworks, design automated test cases, and improve the overall efficiency and reliability of the software testing phase.

Data Analytics and Visualization

A healthcare organization can partner with a software academic researcher to leverage data analytics and visualization techniques. The researcher can analyze large healthcare datasets, develop algorithms for predictive analytics, and create interactive visualizations to aid in decision-making and patient care.