Explore my research contributions through various academic platforms, including Google Scholar, GitHub, ResearcherID, and more. Access my latest publications, data repositories, and scholarly work, ensuring visibility across interdisciplinary research communities. Stay updated with my ongoing projects, peer-reviewed articles, and open-source collaborations that contribute to advancing knowledge in my field
With over a decade of interdisciplinary experience, I have thrived in roles as an educator, researcher, and data analyst. My teaching portfolio covers a range of subjects, including Information Behavior, Finance, Tax Accounting, and Application of Computer in Accounting. As a researcher, I have contributed to projects like the Mobile Futures initiative, focusing on trust and values in European labor markets. My expertise in data analytics, particularly with Python, has enabled me to generate impactful insights into societal challenges and deliver actionable outcomes.
I thrive on autonomy in both academic and professional settings. Whether independently delivering courses or conducting complex research, I take initiative to ensure high-quality outcomes. My ability to manage diverse tasks—from teaching advanced concepts to performing data-driven investigations—demonstrates my self-reliant approach to problem-solving and innovation.
Collaboration and active engagement are at the core of my work. As a dedicated educator, I involve students through interactive learning and group assignments. In research, I engage with interdisciplinary teams to explore critical topics like cross-cultural behavior and immigration attitudes. My commitment to teamwork ensures that my contributions consistently enhance project outcomes and learning environments.
I immersed myself in the field of Information Studies, delving into the complexities of health information behavior and its influence on immigrant communities in Nordic countries. Through advanced data analytics, mixed-method research, and digital information modeling, I navigated the intricate relationship between trust, cultural adaptation, and digital health literacy, forging a data-driven path to better understand marginalized communities.
I embarked on an intellectual journey into knowledge management, mastering the art of structuring, analyzing, and optimizing information flows in digital and healthcare contexts. With a focus on e-health and digital literacy, I explored how older adults navigate health information ecosystems, forging a connection between user behavior, technology, and healthcare accessibility
Immersing myself in the intricate world of financial modeling and investment strategies, I developed expertise in risk assessment, capital markets, and asset pricing theories. Navigating the complexities of systematic and non-systematic risk, I cultivated a data-driven approach to financial decision-making, blending quantitative analysis with economic foresight to assess investment performance.
I delved deep into the fundamentals of accounting and taxation, mastering the principles of financial reporting, tax law, and auditing. Exploring the intricate balance between regulatory compliance and economic efficiency, I developed a strong analytical mindset, navigating the realms of corporate finance, fiscal policy, and strategic financial planning.
I embarked on an enriching journey into pedagogical sciences, blending theory with practice to master the art of teaching, guidance, and competency-based learning. This internationally recognized qualification equips me with the skills to teach in vocational institutions and universities of applied sciences, as well as to develop staff training programs in corporate and professional settings.
Through collaborative and diverse learning environments, I am gaining expertise in:
✔ Curriculum planning & educational theory
✔ Teaching in multicultural & digital classrooms
✔ Guidance methods and competency-based assessment
✔ Networking & fostering well-being in educational settings
This program strengthens my ability to develop learning environments that adapt to evolving professional landscapes, ensuring that education remains dynamic, inclusive, and im
I delved into the power of data-driven decision-making, mastering advanced analytical techniques and machine learning to extract valuable insights from complex datasets. Through this specialization, I explored:
✔ Introduction to Analytics – Building a strong foundation in data processing, statistical analysis, and business intelligence tools.
✔ Machine Learning for Predictive Problems – Developing AI-driven models for forecasting trends and making data-informed decisions.
✔ Visual Analytics – Enhancing data storytelling through interactive dashboards and visual representation techniques.
✔ Machine Learning for Descriptive Problems – Applying unsupervised learning techniques to discover hidden patterns and optimize decision-making.
I immersed myself in data-driven migration research, analyzing European Social Survey data to understand how trust and information exposure influence European managers’ attitudes toward immigrants. My role involved:
✔ Data processing, cleaning, and visualization using Python, pandas, NumPy, and Matplotlib.
✔ Developing statistical models such as regression analysis and Structural Equation Modelling (SEM) to uncover hidden insights.
✔ Applying machine learning techniques to detect trends in large-scale migration data.
✔ Collaborating with interdisciplinary researchers to translate data insights into impactful policy recommendations.
During my doctoral research, I delved into the intersection of information science, health behavior, and digital ecosystems. My work focused on understanding how immigrants navigate digital health information landscapes in Nordic countries. Key contributions:
✔ Conducted both qualitative and quantitative research, utilizing NVivo for thematic analysis, SmartPLS for structural equation modeling, and SPSS for statistical testing.
✔ Designed and analyzed large-scale surveys, exploring immigrant health information-seeking behavior.
✔ Lectured in Information Behaviour 1 & 2, mentoring students on digital literacy, data analytics, and health information systems.
I engaged in humanitarian fundraising efforts, ensuring sustainable financial support for crisis response initiatives. My contributions included:
✔ Securing donor commitments through impactful face-to-face interactions.
✔ Ensuring compliance with data privacy regulations while handling donor information.
I navigated the intricate world of financial compliance, auditing, and risk assessment, delivering precise financial evaluations. My key responsibilities:
✔ Conducted financial audits and compliance checks across various industries.
✔ Designed custom financial reporting spreadsheets in Microsoft Excel, improving efficiency and accuracy.
In this leadership role, I spearheaded the transformation of financial operations by integrating enterprise financial management software. Key achievements:
✔ Managed financial reporting, budgeting, and taxation, ensuring seamless financial operations.
✔ Led a digital transformation project, transitioning operations to Hamkaran System’s enterprise software.
✔ Developed SQL-based custom reports, optimizing data analysis for strategic decision-making.
My early career in accounting honed my skills in financial operations, bookkeeping, and data analytics. Key responsibilities:
✔ Managed daily financial transactions, ensuring accuracy in financial reporting.
✔ Designed Excel-based financial tracking tools, improving data-driven decision-making.
As a Project Researcher at the Migration Institute of Finland and Åbo Akademi University, I conduct quantitative research for the Mobile Futures project, funded by the Research Council of Finland. My work focuses on analyzing European Social Survey (ESS) data using Python to examine how trust, values, and digital information encounters shape European managers' attitudes toward immigrants. Specifically, I contribute to:
I process, clean, and visualize large-scale datasets using Pandas, NumPy, and Matplotlib. Additionally, I apply advanced statistical techniques, including Multilevel Linear Regression, to analyze hierarchical data structures and uncover patterns in managers' trust and value systems. My research contributes to ongoing academic discussions, with findings under review in leading migration studies journals, supporting evidence-based policymaking on labor market inclusion and migration governance in Europe.
This postdoctoral research project, funded by the Finnish Cultural Foundation, is scheduled to begin on August 1, 2025, at the Migration Institute of Finland. This project will explore how AI-driven services can enhance the labor market integration of international students in Finland, addressing key barriers such as language proficiency, discrimination in hiring, and lack of labor market knowledge. The study will be conducted in multiple phases, including meta-analysis, qualitative research with students and employers, and the development of an AI-powered employment framework.
As a Doctoral Researcher at Åbo Akademi University, I investigate immigrants' health beliefs, healthcare needs, and the use of healthcare services across Finland, Sweden, and Norway. This research is part of my PhD study and is funded by the Finnish Cultural Foundation, Karl-Erik Henriksson Foundation, and Åbo Akademis Jubileumsfond. The project aims to provide evidence-based recommendations for healthcare providers, policymakers, and research institutions working with minority populations in the Nordic region.
Specifically, I contribute to:
I design and implement quantitative and qualitative data collection strategies, ensuring methodological rigor in cross-country comparative research. Additionally, I analyze survey and interview data using advanced statistical and qualitative techniques to uncover patterns in health-seeking behavior.
Findings from this research have been published in peer-reviewed journals such as Library & Information Science Research (Jufo 3) and Informaatiotutkimus (Jufo 1), contributing to academic discussions on immigrant health, cultural adaptation, and information-seeking behavior. My work supports policymakers and healthcare organizations in developing inclusive, data-driven healthcare strategies for diverse immigrant populations in the Nordic region.
As a Doctoral Researcher at Åbo Akademi University, I investigated health information-seeking behavior among Persian-speaking minorities in Finland during the COVID-19 pandemic. This research was part of my PhD study and was funded by the OTTO A. MALM FOUNDATION and KAKS (Municipal Sector Development Foundation). The project aimed to provide evidence-based insights into how non-native minorities accessed, evaluated, and utilized health information during a global health crisis, contributing to improved public health communication strategies.
Specifically, I contributed to:
I designed and implemented qualitative data collection strategies, ensuring methodological rigor in capturing immigrants' lived experiences during the pandemic. Additionally, I applied thematic analysis techniques to uncover patterns in health information-seeking behavior and identify key factors influencing trust, misinformation exposure, and health decision-making.
Findings from this research have been published in high-impact peer-reviewed journals, including Library & Information Science Research (Jufo 3) and Journal of Documentation (Jufo 3). These publications contribute to academic discussions on health communication, immigrant information behavior, and crisis response strategies. My work supports policymakers, healthcare providers, and public health institutions in developing inclusive, evidence-based approaches to healthcare communication for minority populations, particularly in times of crisis.
AI-Driven Solutions for Labor Market Integration of International Students in Finland
Immigrants’ Health Beliefs, Health Needs, and the Use of Healthcare Services in Finland, Sweden, and Norway
Health Information-Seeking Behavior During the COVID-19 Outbreak Among Non-Native Minorities in Finland
Mobile Futures: Analyzing Migration Perceptions with Data Science
Earned the Google Data Analytics Certificate, demonstrating proficiency in data analysis techniques, including data cleaning, visualization, and interpretation using tools like Excel, SQL, and R. This certification enhances my ability to derive actionable insights from complex datasets.
Completed the Intermediate Pandas Python Library for Data Science course, advancing my skills in data manipulation, analysis, and visualization using Pandas. Gained expertise in handling large datasets, performing grouping, merging, reshaping, and advanced indexing. Developed efficiency in time series analysis and data preprocessing for machine learning workflows.
Completed the Pandas Python Library for Beginners in Data Science course, gaining foundational skills in data manipulation and analysis using Python. Learned essential Pandas functions for reading, cleaning, filtering, and summarizing datasets. Developed a strong understanding of data structures like Series and DataFrames, preparing data for further analysis in machine learning and statistical modeling.
Completed an 18-hour hands-on course from the University of Washington with a grade of 95.79%, covering fundamental machine learning concepts. Developed expertise in regression, classification, clustering, retrieval, recommender systems, and deep learning. Applied these techniques to real-world case studies, including predicting house prices, sentiment analysis, and product recommendations. Gained proficiency in using Python for implementing machine learning models and evaluating their performance with relevant error metrics.
Completed the MATLAB Onramp training, gaining foundational skills in MATLAB programming, data visualization, and mathematical computing. Developed expertise in handling matrices and arrays, writing scripts, debugging code, and performing basic numerical analysis. Acquired hands-on experience with MATLAB’s built-in functions for data manipulation and visualization.
Completed NVivo Online Training (Blended Learning) with Alfasoft in collaboration with Åbo Akademi University. Acquired expertise in qualitative data analysis, including thematic coding, content analysis, and data visualization techniques. Developed skills in managing large textual datasets, analyzing qualitative responses, and deriving insights for academic and industry research
Completed a comprehensive introduction to the Internet of Things (IoT), covering key concepts such as systems, information and networks, probability, game theory, and IoT applications. Gained insights into different types of data and their impact on device communication. Developed the ability to identify real-world IoT applications and perform basic system analysis.
Gained expertise in creating advanced path models using SmartPLS, useful in both research and industry decision-making. Learned to analyze how attitudes and subjective norms impact behavioral change. Developed skills in running models across groups (e.g., gender-based analysis) and interpreting results to provide actionable recommendations.
Acquired hands-on experience in building path models using SmartPLS for data-driven decision-making in research and industry. Developed skills in uploading datasets, designing structural models, and executing Partial Least Squares Structural Equation Modeling (PLS-SEM). Gained proficiency in interpreting model outputs to derive meaningful insights and recommendations.
Earned the Google Data Analytics Certificate, demonstrating proficiency in data analysis techniques, including data cleaning, visualization, and interpretation using tools like Excel, SQL, and R. This certification enhances my ability to derive actionable insights from complex datasets.
Completed the Intermediate Pandas Python Library for Data Science course, advancing my skills in data manipulation, analysis, and visualization using Pandas. Gained expertise in handling large datasets, performing grouping, merging, reshaping, and advanced indexing. Developed efficiency in time series analysis and data preprocessing for machine learning workflows.
Completed the Pandas Python Library for Beginners in Data Science course, gaining foundational skills in data manipulation and analysis using Python. Learned essential Pandas functions for reading, cleaning, filtering, and summarizing datasets. Developed a strong understanding of data structures like Series and DataFrames, preparing data for further analysis in machine learning and statistical modeling.
Completed an 18-hour hands-on course from the University of Washington with a grade of 95.79%, covering fundamental machine learning concepts. Developed expertise in regression, classification, clustering, retrieval, recommender systems, and deep learning. Applied these techniques to real-world case studies, including predicting house prices, sentiment analysis, and product recommendations. Gained proficiency in using Python for implementing machine learning models and evaluating their performance with relevant error metrics.
Completed the MATLAB Onramp training, gaining foundational skills in MATLAB programming, data visualization, and mathematical computing. Developed expertise in handling matrices and arrays, writing scripts, debugging code, and performing basic numerical analysis. Acquired hands-on experience with MATLAB’s built-in functions for data manipulation and visualization.
Completed NVivo Online Training (Blended Learning) with Alfasoft in collaboration with Åbo Akademi University. Acquired expertise in qualitative data analysis, including thematic coding, content analysis, and data visualization techniques. Developed skills in managing large textual datasets, analyzing qualitative responses, and deriving insights for academic and industry research
Completed a comprehensive introduction to the Internet of Things (IoT), covering key concepts such as systems, information and networks, probability, game theory, and IoT applications. Gained insights into different types of data and their impact on device communication. Developed the ability to identify real-world IoT applications and perform basic system analysis.
Gained expertise in creating advanced path models using SmartPLS, useful in both research and industry decision-making. Learned to analyze how attitudes and subjective norms impact behavioral change. Developed skills in running models across groups (e.g., gender-based analysis) and interpreting results to provide actionable recommendations.
Acquired hands-on experience in building path models using SmartPLS for data-driven decision-making in research and industry. Developed skills in uploading datasets, designing structural models, and executing Partial Least Squares Structural Equation Modeling (PLS-SEM). Gained proficiency in interpreting model outputs to derive meaningful insights and recommendations.
2025 Finnish Cultural Foundation, Two-year Post Doctoral Project Grant.
2024 Åbo Akademi University, Travel Grant for Conference Participation at NFF2024 (1200€).
2022 Åbo Akademis Jubileumsfond, Grant for research visit at University of Borås (4 months, 27,600 SEK).
2022 Åbo Akademi University, Travel Grant for research visit at OSLOMET (1 months, 1200€).
2022 Karl-Erik Henriksson Foundation, Grant for scientific research at OSLOMET (850€).
2022 Finnish Cultural Foundation, One-year doctoral thesis grant (12 months, 26,000€).
2021 KAKS (Municipal Sector Development Foundation), One-year doctoral thesis grant (12 months, 20,000€).
2020 Otto A. Malm Foundation, Six-month doctoral thesis grant (6 months, 13,000€).
24/06/2024 Åbo Akademi University, Publication Bonuse (100€).
02/02/2024 Åbo Akademi University, Publication Bonuse (1000€).
31/10/2022 Åbo Akademi University, Publication Bonuse (267€).
30/06/2022 Åbo Akademi University, Publication Bonuse (800€).
17/06/2021 Åbo Akademi University, Publication Bonuse (634€).
University of Borås, Sweden
Research Visitor, Information Practices and Digital Cultures Group
1.9.2022- 15.12.2022
Skills: NVivo, Data Collection, Intercultural Communication, Qualitative & Quantitative Research, Mixed-Methods Design, Research Planning & Management, Data Analysis, Research Evaluation.
Oslo Metropolitan University, Oslo
Research Visitor, INFUSE Research Group
1.5.2022-1.6.2022
Skills: NVivo, Data Collection (Qualitative & Quantitative), Mixed-Methods Research, Research Design, Intercultural Communication, Planning & Evaluation.
Serving as an Academic Editor for PLOS ONE (PLOS) (Impact Factor: 3.7), I contribute to the peer review process by overseeing the evaluation of scholarly manuscripts, ensuring rigorous academic standards, and facilitating high-quality research dissemination. My role involves assessing submissions, coordinating peer reviews, and making editorial decisions to uphold the journal's commitment to open-access scientific publishing
As an Article Editor for SAGE Open (SAGE Publications) (Impact Factor: 2.032), I contribute to the peer review and editorial process by evaluating manuscripts, coordinating reviews, and ensuring the publication of high-quality, interdisciplinary research. My role supports the journal's commitment to open-access publishing and scholarly excellence
Since 2022, I have served as a peer reviewer for the Journal of Public Health (Oxford University Press, Impact Factor: 5.058). In this role, I critically evaluate submitted manuscripts, provide constructive feedback to authors, and contribute to maintaining the journal’s high scholarly standards in public health research.
As a peer reviewer for BMC Public Health (BioMed Central) (Impact Factor: 4.5), I critically assess research manuscripts, provide constructive feedback to authors, and contribute to maintaining the journal’s high academic and methodological standards in public health research.
As a peer reviewer for Scientific Reports (Nature) (Impact Factor: 3.8), I evaluate submitted manuscripts, provide constructive feedback, and ensure the publication of high-quality research across diverse scientific disciplines.
As a peer reviewer for Health Policy (Elsevier) (Impact Factor: 3.3), I critically evaluate research manuscripts, provide constructive feedback to authors, and contribute to maintaining the journal’s high academic standards in health policy and healthcare system research.
As a peer reviewer for Archives of Public Health (BioMed Central) (Impact Factor: 3.3), I evaluate research manuscripts, provide constructive feedback, and contribute to ensuring the publication of high-quality studies in public health. My role supports the journal’s mission of advancing evidence-based research and public health policy.
Since 2023, I have served as a peer reviewer for the International Journal of Public Health (Springer Nature) (Impact Factor: 2.6). In this capacity, I critically assess submitted manuscripts, offer constructive feedback to authors, and contribute to upholding the journal’s rigorous academic standards in public health research
Since 2021, I have served as a peer reviewer for Europen Management Review (Wiley, Impact Factor: 2.534). In this role, I critically evaluate submitted manuscripts, provide constructive feedback to authors, and contribute to maintaining the journal’s high scholarly standards in management research.
Since 2022, I have served as a peer reviewer for Social Work in Public Health (Taylor & Francis) (Impact Factor: 2.313).
Since 2024, I have served as a peer reviewer for Public Health Nursing (Springer Nature) (Impact Factor: 2.1). In this role, I critically evaluate submitted manuscripts, provide constructive feedback to authors, and contribute to upholding the journal’s high scholarly standards in public health and nursing research.
Since 2023, I have served as a peer reviewer for Information Systems Management (Taylor & Francis) (Impact Factor: 2.098). In this role, I critically evaluate submitted manuscripts, provide constructive feedback to authors, and contribute to maintaining the journal’s high scholarly standards in information systems and management research.
Since 2023, I have served as a peer reviewer for International Migration (Wiley, Impact Factor: 1.946). In this role, I critically evaluate submitted manuscripts, provide constructive feedback to authors, and contribute to maintaining the journal’s high scholarly standards in information systems and management research.
Since 2011, I have served as a peer reviewer for Applied Economics (Taylor & Francis) (Impact Factor: 1.835). In this role, I critically assess submitted manuscripts, provide constructive feedback to authors, and contribute to maintaining the journal’s rigorous academic standards in economic research and applied economic analysis.
Since 2023, I have served as a peer reviewer for Cogent Social Sciences (Taylor & Francis, Impact Factor: 1.5).
Since 2024, I have served as a peer reviewer for Information Research (published by the University of Borås, Sweden). In this role, I critically evaluate submitted manuscripts, provide constructive feedback to authors, and contribute to maintaining the journal’s high scholarly standards in information science and research.
In 2022, I served as an Associate Reviewer for InSITE 2022: Exploring Virtual Connections as Mechanisms for Teaching and Research, part of the Informing Science + IT Education Conferences organized by the Informing Science Institute. In this role, I evaluated submitted conference papers, provided constructive feedback to authors, and contributed to maintaining the academic rigor of the conference proceedings.
In 2018, I served as a Co-Editor for the WIS Conference: Well-Being in the Information Society – Fighting Inequalities, held in Turku, Finland, from May to August 2018. In this role, I contributed to the editorial process, ensuring the quality and coherence of the conference proceedings while facilitating scholarly discussions on well-being and information society challenges.
I was featured in the Migration Institute of Finland’s Newsletter (December 2023) as part of the 'New Institute Members' section, highlighting my academic contributions and research focus.
I was interviewed by Polemiikki magazine, a journal published by The Foundation for Municipal Development (KAKS), about my doctoral research project on immigrants’ health-seeking behavior. The interview was published as 'Tavoittaako terveydenhuolto kasvavan maahanmuuttajaväestön?' in Issue 1/2021.
I’ll be honest—doing multidisciplinary research isn’t always smooth sailing. It’s exciting, yes, but it also comes with its fair share of challenges. During my time in the Mobile Futures project, I found myself constantly juggling different perspectives, methodologies, and even ways of thinking. Bringing together data science, sociology, psychology, and economics into one cohesive study felt like solving multiple puzzles at once—each with its own rules and missing pieces.
But that’s the beauty of it, right? The challenge is also the reward.
One of the key tools that made this research possible was Python—and I can’t imagine doing this kind of work without it. Here’s why. 👇
Multidisciplinary research means working with different types of data—from structured survey datasets to unstructured behavioral data. The beauty of Python is that it lets me seamlessly integrate diverse methodologies, whether I’m running statistical models, performing data cleaning, or visualizing behavioral trends.
💡 Why Python?
✔ Flexibility: Python works across disciplines—great for both statistical analysis and machine learning.
✔ Efficiency: Automating repetitive tasks (like data wrangling) saves hours of manual work.
✔ Powerful Libraries: Pandas, NumPy, and Scikit-learn make handling complex data much easier.
Instead of struggling with manual data processing, I was able to focus on making sense of the findings—which is what research should really be about.
If you’ve ever spent hours debugging code, you’ll understand why writing clean, efficient Python scripts is crucial. Early in my research, I realized that messy code = messy analysis.
📷 Below is a snapshot from my Jupyter Notebook, showing the essential Python libraries I used for data processing and visualization.
I relied heavily on Pandas for data manipulation, Matplotlib & Seaborn for visualization, and Scikit-learn for statistical modeling. But even with these great tools, I ran into issues—data inconsistencies, missing values, and errors that took hours to debug.
🚀 What helped?
✔ Writing reusable functions instead of copy-pasting code.
✔ Version-controlling my scripts with Git to track changes.
✔ Using Jupyter Notebooks to document my workflow and visualize results interactively.
These small tweaks saved me so much time in the long run and made my workflow more efficient.
One of the biggest challenges I faced was handling missing and inconsistent survey responses in the European Social Survey (ESS) dataset. If not properly addressed, missing values like "Refusal" or "Don't know" could introduce bias and distort the results.
📷 Here’s an example from the ESS dataset builder, showing how survey responses include missing values that need careful handling.
🧐 How Python helped:
✔ Pandas allowed me to quickly filter, clean, and structure survey data.
✔ Missingno (a Python library) helped visualize missing patterns.
✔ Multiple Imputation in Scikit-learn provided a robust way to estimate missing values.
Without Python, this would have been an exhausting manual process. Instead, I could automate data cleaning, ensuring that my analysis was accurate and reliable.
One of my research questions focused on how different demographic groups engage with the internet. But behavioral data is messy—patterns are influenced by external factors like cultural norms, technological adoption, and accessibility gaps.
📷 Here’s a visualization of the frequency distribution of internet use from different ESS rounds. These graphs illustrate how internet habits shift over time.
📱 How Python made analysis easier:
✔ Seaborn & Matplotlib helped me visualize usage trends over time.
✔ Groupby functions in Pandas allowed me to break data down by demographics.
✔ Scikit-learn helped identify correlations between internet use and attitudes toward migration.
The biggest takeaway? Numbers alone don’t tell the whole story. Python gave me the tools to explore not just the what, but the why behind behavioral shifts.
Working with survey data means dealing with ambiguous and missing responses. Ignoring them wasn’t an option, but incorrectly handling them could skew my results.
📌 Python’s role in fixing this:
✔ Pandas & NumPy helped detect and clean missing data efficiently.
✔ Scikit-learn’s imputation techniques ensured my dataset remained robust.
✔ Sensitivity analysis scripts let me test how different approaches impacted findings.
The result? A dataset I could trust—one that didn’t just fill gaps but preserved the integrity of the analysis.
Multidisciplinary research isn’t easy, but Python made it manageable. It allowed me to:
✅ Automate tedious tasks (instead of getting lost in spreadsheets).
✅ Analyze large datasets quickly (without endless manual cleaning).
✅ Visualize trends in ways that made insights clear and compelling.
Looking back, I can’t imagine tackling this research without Python’s flexibility, efficiency, and powerful libraries. The biggest lesson? The right tools don’t just make research easier—they make better research possible.
💡 What about you? Have you used Python for research? What challenges did you face? Drop a comment—I’d love to hear your experiences! 👇
I am honored to receive a postdoctoral research grant from the Finnish Cultural Foundation for the first year of my two-year project on AI-driven labor market integration of international students in Finland.
This research, to be conducted at the Migration Institute of Finland, will explore how artificial intelligence-based services can support international students in overcoming key employment barriers such as language challenges, lack of labor market knowledge, and discrimination. By leveraging AI-driven job-matching platforms, automated translation tools, and personalized career support, I aim to develop practical solutions that foster equitable employment opportunities and strengthen Finland’s labor market inclusivity.
A big thank you to the Finnish Cultural Foundation for supporting this important work! 🙌 I also want to express my gratitude to my colleagues at the Migration Institute of Finland for their invaluable comments, support, and feedback on my project.
I’m excited to collaborate with researchers, policymakers, and industry experts working at the intersection of AI, migration, and labor market policy. If you are interested in discussing potential partnerships, feel free to reach out!
I am delighted to receive a Reviewer Certificate from BMC Public Health in recognition of my contributions as a peer reviewer in 2024. This year, I had the privilege of reviewing four manuscripts, supporting the advancement of research in public health and ensuring the dissemination of high-quality scientific knowledge.
The Importance of Peer Review
As a peer reviewer, I strive to ensure scientific rigor, methodological soundness, and relevance in published research. The peer review process plays a crucial role in maintaining the credibility and reliability of academic publications, and I am honored to contribute to this mission.
About BMC Public Health
BMC Public Health is a high-impact, open-access, peer-reviewed journal that publishes research on the epidemiology of disease, public health interventions, and the social determinants of health. The journal provides critical insights into environmental, behavioral, and occupational health factors, as well as the impact of health policies and interventions on communities.
📊 Journal Impact Factor: 3.5
📊 5-Year Journal Impact Factor: 3.9
📊 SCImago Journal Rank (SJR): 1.253
📊 Source Normalized Impact per Paper (SNIP): 1.386
#PeerReview #AcademicPublishing #BMCPublicHealth #PublicHealthResearch #OpenAccess #ScientificImpact #HealthPolicy #Epidemiology #ResearchIntegrity #ReviewerRecognition
Education isn’t just about transferring knowledge—it’s about designing meaningful learning experiences that inspire, challenge, and empower students. Recently, I had the chance to explore these ideas in the Planning of Teaching course at Häme University of Applied Sciences (HAMK), and it was an eye-opening journey into the complexities of effective lesson planning! 🌍✨ In this post, I’m sharing key takeaways that transformed my understanding of teaching and learning.
One of the biggest lessons from this course was that good teaching doesn’t happen by accident—it’s the result of careful planning, thoughtful structure, and intentional decision-making. Effective lesson planning ensures that learning objectives align with teaching strategies, assessment methods, and student needs.
The course emphasized the importance of setting clear learning outcomes—what students should know, do, and understand by the end of a lesson. Without well-defined goals, teaching can feel aimless, and students may struggle to see the bigger picture. By integrating frameworks like Bloom’s Taxonomy, we explored how to design lessons that encourage critical thinking, creativity, and deeper understanding. 📖✨
One of the most exciting aspects of the course was exploring Project-Based Learning (PBL). Instead of relying on traditional lectures, PBL immerses students in real-world problems that require collaboration, research, and creative problem-solving. Our group applied this model in a hands-on session where we guided students through designing posters using digital tools. The experience reinforced how active learning strategies empower students to take ownership of their learning and develop essential skills like teamwork, communication, and critical thinking.
In today’s fast-changing world, simply memorizing information isn’t enough—students need to apply their knowledge in dynamic contexts. The PBL approach proved to be an effective way to bridge the gap between theory and practice, making learning more engaging and impactful. 🚀
Great teaching isn’t just about what we teach—it’s about how we teach. The course introduced us to different instructional models, including:
🔹 Direct Instruction – Clear explanations and step-by-step guidance, ideal for introducing new concepts.
🔹 Inquiry-Based Learning – Encouraging students to ask questions, explore, and discover solutions independently.
🔹 Cooperative Learning – Structuring group activities to enhance peer learning and collaboration.
🔹 Gamification & Digital Tools – Using interactive elements like Kahoot! quizzes, Canva, and online forums to boost engagement.
Each method has its place, and the key is knowing when to use which approach based on student needs and learning goals. The discussions helped me see that an effective teacher is also a strategic planner who adapts methods to maximize student engagement and understanding. 🎮🎓
In the digital age, planning a lesson isn’t just about content—it’s also about ethics. A key part of the course focused on copyright laws, Creative Commons licensing, and data protection regulations in education.
We explored how teachers can use open educational resources (OER) responsibly while ensuring that students understand digital ethics. For example, integrating Creative Commons materials allows for accessible and customizable learning without violating copyright laws. Similarly, ensuring that student data is handled ethically is critical in today’s online learning environment. These insights were a powerful reminder that educators must not only teach knowledge but also model ethical responsibility in the classroom. 🔐✨
One of my biggest takeaways from the course was that teaching is never static—it’s an ongoing process of reflection, adaptation, and improvement. Lesson plans are not rigid scripts but flexible guides that should evolve based on student feedback and engagement.
This course challenged me to rethink how I approach lesson planning—not as a checklist but as a creative and strategic process that shapes the learning experience. The ability to balance structure with adaptability is what makes a lesson not just effective, but truly impactful. 💡✨
The Planning of Teaching course at HAMK has been a transformative experience, equipping me with the tools to design engaging, meaningful, and student-centered lessons. By integrating structured planning with dynamic teaching methods, we can create classrooms that inspire curiosity, foster collaboration, and prepare students for the real world.
What are your thoughts on lesson planning? Have you experienced a teaching method that truly made learning come alive for you? Let’s discuss in the comments! 🚀📚💬
Education isn’t just about absorbing facts—it’s about growth, transformation, and unlocking new ways of thinking. Recently, I had the opportunity to dive into the Human Being as a Learner course at Häme University of Applied Sciences (HAMK), and it turned out to be more than just an academic experience—it was a journey of self-discovery! 🚀📚 In this post, I’m sharing the key lessons that made an impact on me. #LifelongLearning #EducationMatters
One of the biggest takeaways from this course was the realization that learning isn’t a one-time event—it’s a lifelong process. Different learning theories helped me see how people acquire knowledge in unique ways. For example, the sociocultural perspective showed me that our environment and social interactions shape how we learn. Meanwhile, the humanistic approach reminded me how personal growth, motivation, and emotional well-being play a huge role in education.
The more I learned, the more I understood that education isn’t just about delivering information—it’s about creating engaging experiences that inspire curiosity. #KeepGrowing #StayCurious
We often think of learning as an intellectual activity, but this course helped me explore the human nature behind it. Different perspectives gave me new insights:
Understanding these perspectives gave me a deeper appreciation for how complex and diverse learning truly is. #EducationForAll #GrowthMindset
One of the highlights of this course was applying theory to real-world scenarios. The concept of Problem-Based Learning (PBL) stood out to me because it encourages critical thinking by tackling real-life problems. Instead of memorizing facts, students learn by doing—and that’s a game-changer! 💡
Another eye-opening aspect was the importance of university-industry collaboration. When education connects directly with real-world challenges, students graduate with skills that actually matter. Imagine a world where every classroom is linked to industry needs—how powerful would that be? #RealWorldSkills #EducationThatWorks
Let’s be real—teaching and learning aren’t always smooth sailing. One of the biggest challenges is making education inclusive for all. A diverse student body means different learning styles, backgrounds, and experiences, so teaching needs to be flexible and adaptive.
Another challenge? Balancing structure and creativity. While structured lessons provide a solid foundation, creativity fuels innovation and deeper engagement. Encouraging students to explore, question, and innovate leads to more meaningful learning experiences. #InclusiveEducation #CreativeTeaching
This course didn’t just teach me about learning—it changed the way I think about education. Understanding human nature, embracing different learning theories, and applying practical strategies have all reshaped my perspective. Education is an ever-evolving field, and I’m excited to continue exploring it! 🌍✨
What are your thoughts on learning? Have you ever had an educational experience that changed your perspective? Let’s discuss in the comments! ⬇️
#LearningForLife #TransformativeEducation #HAMKExperience
As a doctoral candidate who recently graduated from Åbo Akademi University's Faculty of Social Sciences, Business and Economics, and Law, I have had the honour of becoming involved in teaching, especially in the field of information studies. I have had the privilege of creating and presenting some modules for the International Master's program in Governance of Digitalisation, namely "Information Behaviour I" and "Information Behaviour II".
I tought the "Application of Literacies" module for the "Information Behaviour I" course during the autumn term of 2022. I designed my section to equip students with the necessary skills to navigate our increasingly digital world by thoroughly examining information and digital literacy. Subsequently, during the spring terms of 2022, 2023, and 2024, I had the opportunity to lead a section of 'Information Behaviour II', concentrating on practical application within health information behaviour. These modules were deeply informed by my ongoing doctoral research and spotlighted significant subjects like health information seeking behaviour and the health belief model. These responsibilities are detailed in Table 1.
From 2011 to 2014, I worked as a lecturer and researcher at Islamic Azad University before moving to Finland to pursue my second master's degree and subsequent doctorate. This position provided me with invaluable experience in effectively teaching undergraduates intricate concepts in business administration, taxation, finance, and accounting.
My pedagogical approach was based on helping students improve their scientific knowledge and research skills through creative and engaging teaching methods, while also acknowledging their accomplishments. These experiences, combined with my ongoing commitment to professional development, have given me greater confidence in my ability to contribute meaningfully to scientific research and academic lecturing. Table 2 provides more information on the courses I taught at Azad University from 2011 to 2014, including semester/year, course code, level, type, credits, and teaching hours per semester.
My teaching philosophy prioritizes creating a safe and engaging learning environment where students feel comfortable expressing their ideas and are encouraged to learn and grow. To achieve this, I use a variety of teaching techniques, including the use of technology and storytelling, to help students better understand complex concepts.
I believe in using concrete examples to explain abstract financial concepts, as this approach helps students connect theoretical concepts to real-life situations and provides them with practical knowledge. For instance, when teaching about present and future value, I relate it to a concrete example of a person saving for a vehicle purchase, which helps students better grasp the concept.
Academic Year | Course | Module Taught | Responsibilities | Hours |
---|---|---|---|---|
Spring 2024 | Information Behaviour II | Health Information Behaviour (Focus on Health Information Seeking Behaviour and the Health Belief Model) | Preparing and recording lectures, engaging students in group assignments, and learning diaries, grading activities | 1 hour’s teaching + 15 hours supervision |
Spring 2023 | Information Behaviour II | Health Information Behaviour (Focus on Health Information Seeking Behaviour and the Health Belief Model) | Preparing and recording lectures, engaging students in group assignments, and learning diaries, grading activities | 1 hour’s teaching + 15 hours supervision |
Autumn 2022 | Information Behaviour I | Application of Literacies (Focus on Information and Digital Literacy) | Preparing and recording lectures, engaging students in group assignments, and learning diaries, grading activities | 1 hour’s teaching + 15 hours supervision |
Spring 2022 | Information Behaviour II | Health Information Behaviour (Focus on Health Information Seeking Behaviour and the Health Belief Model) | Preparing and recording lectures, engaging students in group assignments, and learning diaries, grading activities | 1 hour’s teaching + 15 hours supervision |
Course | Semester/Year | Code | Level | Type | Credits | HPS[1] |
---|---|---|---|---|---|---|
Investing in Stock Exchange | Summer 2012-2013 | 718 | Bachelor | Core | 2 | 32 |
Finance 2 | Summer 2012-2013 | 1309 | Bachelor | Core | 3 | 48 |
Tax Accounting | 2nd 2012-2013 | 4092 | Associate | Core - Elective | 2 | 32 |
Tax Accounting | 2nd 2012-2013 | 4091 | Associate | Core - Elective | 2 | 32 |
Finance Class | 2nd 2010-2011 | 7356 | Bachelor | Core | 3 | 48 |
Tax Accounting | 1st 2013-2014 | 1603 | Associate | Core - Elective | 2 | 32 |
Finance 1 | 1st 2011-2012 | 4883 | Bachelor | Core | 3 | 48 |
Computer Application in Accounting - 2 | 1st 2011-2012 | 11511 | Bachelor | Core - Elective | 2 | 32 |
For more information about teaching hours and course credits at Islamic Azad University, refer to:
[1] HPS: Teaching hours per semester
1- The Principles of Digital Pedagogy in Instruction and Teaching (2 ECTS) - (complited) - University of Eastern Finland
2- Introduction to Educational Leadership (5ECTS) - (complited) - Tampere University of Applied Sciences (TAMK)
1- Didactical design of courses in higher education (5ECTS) - (complited) - Åbo Akademi University
2- Teaching Practice 1 (5 ECTS) - (complited)- Åbo Akademi University
3- Digital learning in higher education (5 ECTS) - (complited)- Åbo Akademi University
4- Digital Didaktik in Higher Education (5 ECTS) - (complited)- Åbo Akademi University
1. The Teacher as an Expert of Learning – 28 ECTS
2. The Teacher as a Pedagogical Actor – 15 ECTS
3. Optional Studies – 5 ECTS