Arash Hajikhani

D.Sci. (Tech.), Senior Data Scientist

  • Phone+358409333549
20152021

Research activity per year

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Personal profile

Short bio

Mr. Arash Hajikhani (D.Sc. Industrial Engineering and Mgmt.) is a research scientist and data scientist in the field of innovation management. He has been working and publishing on various aspects on Social Network Service (SNSs) platforms for evaluation and measurement of its socio-economic effects. He proposed advanced methods for operationalizing SNSs data and a perspective for deep content analysis to comprehend brand presence. He has a practical knowledge and 7 years working experience in utilizing data analytics methods such as text analytics and machine learning for transforming big data into valuable insight for which benefit the decision making processes. In his previous research, a systematic methodological framework has been adopted to transform SNS's data into units of analysis that enables innovation-oriented activities evaluation and benchmarking in various levels (firms, economies, societies). Hajikhani has been a visiting scholar at the School of Business and Management, Stanford University, USA (12/2016 -07/2017). He conducted a study on transforming unstructured data in SNSs into a validated indicator for measuring firms marketing innovation published in International Journal of Innovation and Technology Management (2016) and World Scientific Book Chapters (2017). His attempts on systematic processing of data sets such as SNSs, publication and patent data has been published in venues such as Association for Computing Machinery 2015, Hawaii International Conference on System Sciences 2017, Academy of Management Conference 2018, Palgrave Macmillan Publications 2018 and Journal of Business Research 2020.

Expertise related to UN SDGs

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

Doctorate, Lappeenranta University of Technology

May 2014Oct 2018

Award Date: 22 Oct 2018

Doctorate, Stanford University

Dec 2016Jul 2017

Doctorate, Georgia Institute of Technology

Jul 2016Nov 2016

Master, Lappeenranta University of Technology

Aug 2011Nov 2013

Master, Eindhoven University of Technology (TU/e)

Sep 2012Apr 2013

Skills and expertise

  • Data Science
  • Impact Assessment
  • Innovation Management
  • Innovation Measurement
  • Innovation Policy
  • Innovation Systems
  • Social Network Analysis
  • Econometrics
  • Bibliometrics
  • Technological Change
  • Patent Data
  • Machine Learning
  • Natural Language Processing
  • Text Analytics
  • Statistics
  • Spatial Analysis
  • Python
  • R
  • Strategic Foresight

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