Projects per year
Personal profile
Short bio
Sajad is a research/data scientist in business foresight focusing on Technology & Innovation Management. With a solid educational and professional background in engineering and business, Sajad has extensive experience in employing advanced data sources and methodologies in data science, machine learning, natural language processing, and social network analytics to offer data-driven solutions in strategic decision-making and business analytics. His expertise also includes presenting and communicating the value of data to researchers, policy-makers, and corporate clients. Sajad is proficient in a variety of software and programming languages, including Python, SQL, MATLAB, and STATA. As a Ph.D. candidate, relying on large-scale empirical studies, he also explores the impact of digitalization on firms’ performance.
Education/Academic qualification
Master, Business, RMIT University
Aug 2018 → Oct 2020
Award Date: 1 Mar 2021
Master, Mechanical Engineering, Sharif University of Technology
Sept 2013 → Sept 2015
Award Date: 20 Sept 2015
Bachelor, Mechanical Engineering, Sharif University of Technology
Sept 2009 → Sept 2013
Award Date: 20 Sept 2013
Skills and expertise
- Innovation Management
- Technology Management
- Technology Forecasting
- Business Analytics
- Data Science
- Machine Learning
- Neural Networks
- Natural Language Processing
- Text Analytics
- Social Network Analysis
- Large Language Models
- business Foresight
- Patent Data
- Scientometrics
- statistics
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Collaborations and top research areas from the last five years
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CRIEG: Company Resilience in the Era of Globalization
Deschryvere, M., Suominen, A., Hajikhani, A., Bäck, A. & Ashouri, S.
1/11/21 → 1/11/24
Project: Business Finland project
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A4SBR: Actions for Sustainable Business Renewal
Järnefelt, V., Antikainen, M., Pajula, T., Vainikainen, S., Ashouri, S., Suominen, A., Nikunen, T. & Vehmas, K.
1/09/21 → 31/08/23
Project: Business Finland project
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SWIM: Smart Water Management
Arnold, M., Apilo, O., Soininen, J., Koskela, P., Kuure, S., Backman, J., Cole, C. & Ashouri, S.
2/01/21 → 31/12/22
Project: Business Finland project
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GENDER STI: Gender Equality in Science, Technology and Innovation Bilateral and Multilateral Dialogues
Rilla, N., Hajikhani, A., Bhatia, R., Merisalo, M., Sanchez Nieminen, G., Salonen, T. & Ashouri, S.
1/11/20 → 31/10/23
Project: EU project
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BIGPROD: Addressing productivity paradox with big data: implications to policy making
Suominen, A., Hajikhani, A., Ashouri, S. & Deschryvere, M.
1/12/19 → 30/04/22
Project: EU project
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The role of product digitization for productivity – evidence from web-scraping European high-tech company websites
Schubert, T., Ashouri, S., Deschryvere, M., Jäger, A., Visentin, F., Cunningham, S. W., Hajikhani, A., Pukelis, L. & Suominen, A., 14 Feb 2023, Maastricht University. 39 p. (Maastricht Economic and social Research institute on Innovation and Technology (UNU-MERIT) Working Paper Series; No. 2023-004).Research output: Book/Report › Report
Open Access -
Connecting firm's web scraped textual content to body of science: Utilizing microsoft academic graph hierarchical topic modeling
Hajikhani, A., Pukelis, L., Suominen, A., Ashouri, S., Schubert, T., Notten, A. & Cunningham, S. W., 2022, In: MethodsX. 9, p. 101650 101650.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access1 Citation (Scopus) -
Indicators on firm level innovation activities from web scraped data
Ashouri, S., Suominen, A., Hajikhani, A., Pukelis, L., Schubert, T., Türkeli, S., Van Beers, C. & Cunningham, S., Jun 2022, In: Data in Brief. 42, 108246.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access4 Citations (Scopus) -
Anticipation and analysis of industry convergence using patent-level indicators
Ashouri, S., Mention, A. L. & Smyrnios, K. X., Jul 2021, In: Scientometrics. 126, 7, p. 5727-5758 32 p.Research output: Contribution to journal › Article › Scientific › peer-review
3 Citations (Scopus)
Datasets
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BIGPROD Data Sample
Ashouri, S. (Creator), DataverseNL, Oct 2021
DOI: https://doi.org/10.34894/CI5XRR
Dataset