Work with thought leaders and academic experts in Computer Science Applications
Companies can benefit from collaborating with academic researchers in Computer Science Applications in several ways. These researchers have deep knowledge and expertise in areas such as artificial intelligence, data analysis, software development, and more. By working with them, companies can drive innovation, solve complex problems, and stay ahead of the competition. Researchers can provide valuable insights and solutions to optimize business processes, develop cutting-edge technologies, and improve customer experiences. They can also help companies leverage big data and implement machine learning algorithms to gain actionable insights and make data-driven decisions. Additionally, academic researchers can assist in developing secure and robust software systems, ensuring the company's technology infrastructure is efficient and protected.
Researchers on NotedSource with backgrounds in Computer Science Applications include Christos Makridis, Aruna Ranaweera, Jerry Schnepp, Ph.D., Dr. David Siderovski, Ph.D., Keiran Thompson, Ajay Badhan, Siddharth Maddali, Daniel Milej, Ph.D., Ping Luo, Burcu Vitrinel, Ph.D., PhD.Heydy Castillejos, IQRAM HUSSAIN, Ph.D., and Elvira Forte.
Christos Makridis
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
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Other Research Expertise (15)
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Most Relevant Publications (2+)
25 total publications
Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans
Computers in Biology and Medicine / Jun 01, 2021
Makridis, C. A., Zhao, D. Y., Bejan, C. A., & Alterovitz, G. (2021). Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans. Computers in Biology and Medicine, 133, 104354. https://doi.org/10.1016/j.compbiomed.2021.104354
Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs
BMJ Health & Care Informatics / Jun 01, 2021
Makridis, C. A., Strebel, T., Marconi, V., & Alterovitz, G. (2021). Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs. BMJ Health & Care Informatics, 28(1), e100312. https://doi.org/10.1136/bmjhci-2020-100312
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Aruna Ranaweera
Professor at University of Kelaniya, PhD(Kyung Hee University, South Korea)
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Other Research Expertise (16)
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30 total publications
Commemorative Issue of Defence Science Journal on Golden Jubilee of DRDO
Defence Science Journal / Mar 25, 2010
Moorthy, A. (2010). Commemorative Issue of Defence Science Journal on Golden Jubilee of DRDO. Defence Science Journal, 60(2), 121–123. https://doi.org/10.14429/dsj.60.345
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Dr. David Siderovski, Ph.D.
Professor of Computational Pharmacology; Chair of HSC SBS Dept. of Pharmacology & Neuroscience
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Other Research Expertise (25)
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Most Relevant Publications (3+)
94 total publications
Established and Emerging Fluorescence-Based Assays for G-Protein Function: Ras-Superfamily GTPases
Combinatorial Chemistry & High Throughput Screening / Jun 01, 2003
Rojas, R., Kimple, R., Rossman, K., Siderovski, D., & Sondek, J. (2003). Established and Emerging Fluorescence-Based Assays for G-Protein Function: Ras-Superfamily GTPases. Combinatorial Chemistry & High Throughput Screening, 6(4), 409–418. https://doi.org/10.2174/138620703106298509
Established and Emerging Fluorescence-Based Assays for G-Protein Function: Heterotrimeric G-Protein Alpha Subunits and Regulator of G-Protein Signaling (RGS) Proteins
Combinatorial Chemistry & High Throughput Screening / Jun 01, 2003
Kimple, R., Jones, M., Shutes, A., Yerxa, B., Siderovski, D., & Willard, F. (2003). Established and Emerging Fluorescence-Based Assays for G-Protein Function: Heterotrimeric G-Protein Alpha Subunits and Regulator of G-Protein Signaling (RGS) Proteins. Combinatorial Chemistry & High Throughput Screening, 6(4), 399–407. https://doi.org/10.2174/138620703106298491
A High Throughput Fluorescence Polarization Assay for Inhibitors of the GoLoco Motif/G-alpha Interaction
Combinatorial Chemistry & High Throughput Screening / Jun 01, 2008
Kimple, A., Yasgar, A., Hughes, M., Jadhav, A., Willard, F., Muller, R., Austin, C., Inglese, J., Ibeanu, G., Siderovski, D., & Simeonov, A. (2008). A High Throughput Fluorescence Polarization Assay for Inhibitors of the GoLoco Motif/G-alpha Interaction. Combinatorial Chemistry & High Throughput Screening, 11(5), 396–409. https://doi.org/10.2174/138620708784534770
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Keiran Thompson
Stanford University
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Other Research Expertise (5)
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Most Relevant Publications (2+)
29 total publications
Large-Scale Functional Group Symmetry-Adapted Perturbation Theory on Graphical Processing Units
Journal of Chemical Theory and Computation / Jan 18, 2018
Parrish, R. M., Thompson, K. C., & Martínez, T. J. (2018). Large-Scale Functional Group Symmetry-Adapted Perturbation Theory on Graphical Processing Units. Journal of Chemical Theory and Computation, 14(3), 1737–1753. https://doi.org/10.1021/acs.jctc.7b01053
TeraChem Cloud: A High-Performance Computing Service for Scalable Distributed GPU-Accelerated Electronic Structure Calculations
Journal of Chemical Information and Modeling / Apr 08, 2020
Seritan, S., Thompson, K., & Martínez, T. J. (2020). TeraChem Cloud: A High-Performance Computing Service for Scalable Distributed GPU-Accelerated Electronic Structure Calculations. Journal of Chemical Information and Modeling, 60(4), 2126–2137. https://doi.org/10.1021/acs.jcim.9b01152
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Ajay Badhan
Research Biologist, Lethbridge Research Center, Canada
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Other Research Expertise (26)
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Most Relevant Publications (1+)
29 total publications
Mechanistic insights into the digestion of complex dietary fibre by the rumen microbiota using combinatorial high-resolution glycomics and transcriptomic analyses
Computational and Structural Biotechnology Journal / Jan 01, 2022
Badhan, A., Low, K. E., Jones, D. R., Xing, X., Milani, M. R. M., Polo, R. O., Klassen, L., Venketachalam, S., Hahn, M. G., Abbott, D. W., & McAllister, T. A. (2022). Mechanistic insights into the digestion of complex dietary fibre by the rumen microbiota using combinatorial high-resolution glycomics and transcriptomic analyses. Computational and Structural Biotechnology Journal, 20, 148–164. https://doi.org/10.1016/j.csbj.2021.12.009
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Siddharth Maddali
Computational physicist with a specialization in X-ray and optical imaging and microscopy for condensed matter and materials systems.
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Other Research Expertise (21)
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Most Relevant Publications (1+)
29 total publications
Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization
npj Computational Materials / May 23, 2023
Maddali, S., Frazer, T. D., Delegan, N., Harmon, K. J., Sullivan, S. E., Allain, M., Cha, W., Dibos, A., Poudyal, I., Kandel, S., Nashed, Y. S. G., Heremans, F. J., You, H., Cao, Y., & Hruszkewycz, S. O. (2023). Concurrent multi-peak Bragg coherent x-ray diffraction imaging of 3D nanocrystal lattice displacement via global optimization. Npj Computational Materials, 9(1). https://doi.org/10.1038/s41524-023-01022-7
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Daniel Milej, Ph.D.
Ph.D. in biomedical engineering
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Other Research Expertise (31)
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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
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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 (5+)
23 total publications
Enhancing the prediction of disease–gene associations with multimodal deep learning
Bioinformatics / Mar 02, 2019
Luo, P., Li, Y., Tian, L.-P., & Wu, F.-X. (2019). Enhancing the prediction of disease–gene associations with multimodal deep learning. Bioinformatics, 35(19), 3735–3742. https://doi.org/10.1093/bioinformatics/btz155
CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization
Neurocomputing / Jan 01, 2018
Tian, L.-P., Luo, P., Wang, H., Zheng, H., & Wu, F.-X. (2018). CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization. Neurocomputing, 275, 2031–2040. https://doi.org/10.1016/j.neucom.2017.10.039
Identifying cell types from single-cell data based on similarities and dissimilarities between cells
BMC Bioinformatics / May 01, 2021
Li, Y., Luo, P., Lu, Y., & Wu, F.-X. (2021). Identifying cell types from single-cell data based on similarities and dissimilarities between cells. BMC Bioinformatics, 22(S3). https://doi.org/10.1186/s12859-020-03873-z
Ensemble disease gene prediction by clinical sample-based networks
BMC Bioinformatics / Mar 01, 2020
Luo, P., Tian, L.-P., Chen, B., Xiao, Q., & Wu, F.-X. (2020). Ensemble disease gene prediction by clinical sample-based networks. BMC Bioinformatics, 21(S2). https://doi.org/10.1186/s12859-020-3346-8
Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets
Computational and Structural Biotechnology Journal / Jan 01, 2022
Mahalanabis, A., Turinsky, A. L., Husić, M., Christensen, E., Luo, P., Naidas, A., Brudno, M., Pugh, T., Ramani, A. K., & Shooshtari, P. (2022). Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets. Computational and Structural Biotechnology Journal, 20, 6375–6387. https://doi.org/10.1016/j.csbj.2022.10.029
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Burcu Vitrinel, Ph.D.
Cross-functional life sciences strategy professional with a Ph.D. in genetics
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Other Research Expertise (15)
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10 total publications
Ring Finger 149-Related Is an FGF/MAPK-Independent Regulator of Pharyngeal Muscle Fate Specification
International Journal of Molecular Sciences / May 16, 2023
Vitrinel, B., Vogel, C., & Christiaen, L. (2023). Ring Finger 149-Related Is an FGF/MAPK-Independent Regulator of Pharyngeal Muscle Fate Specification. International Journal of Molecular Sciences, 24(10), 8865. https://doi.org/10.3390/ijms24108865
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PhD.Heydy Castillejos
Research professor, Universidad Autónoma del Estado de Hidalgo
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Other Research Expertise (10)
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Most Relevant Publications (2+)
15 total publications
Written Documents Analyzed as Nature-Inspired Processes: Persistence, Anti-Persistence, and Random Walks—We Remember, as Along Came Writing—T. Holopainen
Applied Sciences / Sep 12, 2020
López-Ortega, O., Pérez-Cortés, O., Castillejos-Fernández, H., Castro-Espinoza, F.-A., & González-Mendoza, M. (2020). Written Documents Analyzed as Nature-Inspired Processes: Persistence, Anti-Persistence, and Random Walks—We Remember, as Along Came Writing—T. Holopainen. Applied Sciences, 10(18), 6354. https://doi.org/10.3390/app10186354
Crouch Gait Analysis and Visualization Based on Gait Forward and Inverse Kinematics
Applied Sciences / Oct 11, 2022
Gonzalez-Islas, J.-C., Dominguez-Ramirez, O.-A., Lopez-Ortega, O., Peña-Ramirez, J., Ordaz-Oliver, J.-P., & Marroquin-Gutierrez, F. (2022). Crouch Gait Analysis and Visualization Based on Gait Forward and Inverse Kinematics. Applied Sciences, 12(20), 10197. https://doi.org/10.3390/app122010197
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IQRAM HUSSAIN, Ph.D.
Weill Cornell Medicine, Cornell University, NY, USA
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Other Research Expertise (32)
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43 total publications
Measuring technological patent scope by semantic analysis of patent claims – An indicator for valuating patents
World Patent Information / Sep 01, 2019
Wittfoth, S. (2019). Measuring technological patent scope by semantic analysis of patent claims – An indicator for valuating patents. World Patent Information, 58, 101906. https://doi.org/10.1016/j.wpi.2019.101906
Tracking Trajectory Planning of Space Manipulator for Capturing Operation
International Journal of Advanced Robotic Systems / Sep 01, 2006
Huang, P., Xu, Y., & Liang, B. (2006). Tracking Trajectory Planning of Space Manipulator for Capturing Operation. International Journal of Advanced Robotic Systems, 3(3), 31. https://doi.org/10.5772/5735
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Elvira Forte
Scientific strategist • Senior Scientist • Senior Scientific Editor
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Other Research Expertise (26)
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63 total publications
Ex uno, plures–From One Tissue to Many Cells: A Review of Single-Cell Transcriptomics in Cardiovascular Biology
International Journal of Molecular Sciences / Feb 19, 2021
Forte, E., McLellan, M. A., Skelly, D. A., & Rosenthal, N. A. (2021). Ex uno, plures–From One Tissue to Many Cells: A Review of Single-Cell Transcriptomics in Cardiovascular Biology. International Journal of Molecular Sciences, 22(4), 2071. https://doi.org/10.3390/ijms22042071
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Example Computer Science Applications projects
How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Computer Science Applications?
Optimizing Supply Chain Management
An academic researcher in Computer Science Applications can help companies optimize their supply chain management processes. By analyzing data and applying algorithms, they can identify bottlenecks, streamline operations, and reduce costs. They can also develop predictive models to forecast demand and optimize inventory management, ensuring efficient and timely delivery of products.
Enhancing Cybersecurity Measures
Collaborating with a Computer Science Applications researcher can enhance a company's cybersecurity measures. They can analyze the company's existing security infrastructure, identify vulnerabilities, and develop robust solutions to protect against cyber threats. Researchers can also develop advanced encryption algorithms and implement secure authentication systems to safeguard sensitive data and prevent unauthorized access.
Implementing Machine Learning for Personalized Recommendations
By collaborating with an academic researcher in Computer Science Applications, companies can implement machine learning algorithms for personalized recommendations. Researchers can analyze customer data, identify patterns, and develop recommendation systems that provide personalized product suggestions, improving customer satisfaction and driving sales. These algorithms can also be used for targeted marketing campaigns, increasing customer engagement and retention.
Developing Natural Language Processing Applications
Academic researchers in Computer Science Applications can help companies develop natural language processing applications. They can build chatbots and virtual assistants that can understand and respond to customer queries, improving customer support and reducing response time. Researchers can also develop sentiment analysis algorithms to analyze customer feedback and sentiment on social media, helping companies understand customer preferences and improve their products and services.
Optimizing Data Analysis and Visualization
Collaborating with a Computer Science Applications researcher can optimize a company's data analysis and visualization processes. Researchers can develop algorithms and tools to process and analyze large datasets, extract meaningful insights, and visualize data in a clear and intuitive manner. This can help companies make data-driven decisions, identify trends, and uncover hidden patterns, leading to improved business strategies and outcomes.