About
Profile Summary
Danial Saber Samiei is an interdisciplinary academic and technology researcher with extensive teaching and leadership experience. He holds a Ph.D. in Public Administration (Human Resource Management) and serves as an Assistant Professor, specializing in Data Mining, Artificial Intelligence (AI), and Cognitive Science.
With over a decade of combined teaching and research experience, Samiei's career bridges academia and industry. He has published on topics ranging from brain-computer interfaces to neuromarketing and HR analytics, reflecting his applied, interdisciplinary research in areas such as cognitive neuroscience in marketing, HR analytics, social network analysis, and Brain–Computer Interface (BCI) applications.
In parallel, he has led innovative tech ventures globally – including startups in Japan and Belgium – demonstrating a technologically informed and entrepreneurial profile that enriches his academic work.
A researcher and educator recognized with national awards in Iran, Samiei combines global industry insight with academic rigor, aligning his interdisciplinary background closely with TIU's English Track mission.
Scholarly Contributions
Selected Publications & Research Projects
1
Enhancing detection of steady-state visual evoked potentials
Samiei, D. S., et al. (2021). "Enhancing detection of steady-state visual evoked potentials using frequency and harmonics of that frequency in OpenVibe." Biomedical Engineering Advances, 2:100022.
Applied AI and signal processing to improve BCI systems for cognitive interfaces.
2
Analyzing Brain Responses to Product Flavor
Samiei, D. S., et al. (2021). "Analyzing Brain Responses to Product Flavor in the Presence of Chocolate Brands." Journal of Development & Transformation Management (Persian).
Neuromarketing study using EEG to examine how branding influences neural responses to taste.
3
Designing a Cognitive HRM Curriculum
Samiei, D. S., et al. (2018). "Designing a Cognitive HRM Curriculum Using QFD and Benchmarking." Proceedings of the ASAIHL Conference 2018.
Interdisciplinary research designing an academic program bridging HR management and cognitive science, presented at an international education forum.
4
Numerical Post-processing for Structural MRI
Samiei, D. S., et al. (2019). "A Numerical Post-processing Procedure for Analyzing Structural MRI in HR Cognitive Assessment." Iranian Journal of Optimization.
Innovative approach combining MRI brain data analysis with HR cognitive metrics to improve personnel assessment methods.
5
Cognitive Gaming for Attention Improvement
Research Project (2020–Present): Developing "Cog-Car" games that use brain signals (EEG/BCI) to train and improve users' attention and focus.
This project exemplifies the fusion of AI, neuroscience, and education in Samiei's research.
Samiei's publications and projects demonstrate a consistent theme of applying artificial intelligence techniques to understand and enhance human cognitive and organizational processes. This includes pioneering work in neuromarketing and brain-computer interfaces as well as forward-looking analyses of technology's impact on management.
Public Engagement
Media Appearances & Public Talks
Danial Saber Samiei has been featured in several national and international media platforms, conferences, and public programs highlighting his work in AI, cognitive science, and innovation management. His talks and interviews span topics such as the future of human resources, AI ethics, neurotechnology, and innovation ecosystems. Selected appearances include:
The Future of Human Resources in the Age of Technology
INOTEX Future Station 2025, Tehran (May 2025)
From T‑Shaped Skills to Human‑AI Coexistence
Experience Sharing at INOTEX Arena 2024
INOTEX Arena, Tehran (May 2024)
The Future of Neurotechnologies
INOTEX Nextation 2022, Tehran (May 2022)
InnoLog 24: Dialogue on Future & Technology
InnoLog 24 (Jun–Jul 2025)
Pelleh Aval Podcast — Episode 8
Pelleh Aval Podcast (2021)
Television Appearances
Developing Iran's Tech Ecosystem
Charkh Program, IRIB Channel 4, Tehran (Apr 2025)
According to International Standards
Foresight of Technology
Mehr Program, IRIB Channel Baran, Rasht (Jul 2025)
The Banality of Evil & the Dot‑Com Generation
Live Discussion on International Tech Financing
Charkh Program, IRIB Channel 4, Tehran (Oct 2025)
8th National Award for Technology & Innovation Management
Gilan Research & Technology Fund (Jul 2024)
Capabilities
Technical Skills
Programming & Software
Proficient in multiple programming languages and frameworks, including Python, R, C/C++, Java, C#, and web technologies (JavaScript, HTML/CSS, ASP.NET). Experienced in database design (SQL Server, Oracle) and enterprise application development.
Data Analysis & AI Tools
Skilled in statistical and data mining tools such as SPSS, Lisrel, AMOS, RapidMiner, and MATLAB. Familiar with machine learning libraries and platforms; experienced in neural signal processing tools (e.g., OpenVibe for BCI).
Computing & IT
Certified in Microsoft technologies (MCSA certifications) and network administration. Adept with version control, software project management (MS Project, Visio), and simulation environments (e.g., Unity, robotics simulators).
Languages
Fluent in English and Persian; basic proficiency in Japanese.
Fluency in English enables Samiei to teach and collaborate in international programs like TIU's E-Track. His exposure to Japanese language and culture through his startup enhances his ability to integrate into a Japanese academic environment.
Philosophy
Teaching Statement
As an educator, my teaching philosophy centers on engaging students with an interactive, interdisciplinary learning experience. If selected to teach in Tokyo International University's E-Track program, I would draw on my extensive background in both management science and artificial intelligence to create a classroom environment that bridges theory with real-world practice.
I believe in student-centered learning, where students are encouraged to think critically and connect concepts across domains. For example, in teaching a business analytics course, I would integrate data mining techniques with case studies on consumer behavior, illustrating how AI can inform strategic business decisions. Similarly, in a management principles class, I might incorporate insights from cognitive science – such as decision-making processes or neuro-marketing findings – to enrich traditional theory with fresh perspectives.
My dual expertise in teaching and research means I constantly bring updated, practical examples into the classroom. Having supervised Ph.D. and Master's students, I am adept at mentoring diverse learners and scaffolding complex content for different levels. In an international context like TIU's English Track, I value the diversity of student backgrounds and actively strive to create an inclusive atmosphere. This involves using globally relevant case studies (including Japanese and Asian business contexts) and encouraging students to share perspectives from their own cultures.
I emphasize active learning methods – class discussions, group projects, and hands-on data analysis exercises – to ensure students not only grasp concepts but also learn to apply them collaboratively, mirroring real-world work environments.
Importantly, I see technology as a powerful tool in education. I often incorporate digital platforms and software (from online survey tools to Python notebooks) into assignments so that students gain practical skills alongside theoretical knowledge. My experience in industry startups becomes a rich source of practical insights: I frequently share anecdotes of technical and leadership challenges from my roles as a startup founder and CTO to demonstrate course concepts in action. This approach prepares students for the rapidly evolving business landscape by illustrating how classroom learning translates to professional competencies.
In summary, my goal as a teacher is to inspire curiosity and confidence in my students. I measure success not just by exam results, but by how students engage in problem-solving and how prepared they feel to tackle complex issues beyond the classroom. At TIU's E-Track Program, I am committed to delivering high-quality undergraduate teaching that nurtures global mindsets, critical thinking, and a passion for continuous learning.
Vision
Research Statement
My research agenda is driven by a passion for applying artificial intelligence to better understand human cognition and social systems. Throughout my career, I have pursued research that sits at the intersection of technology and human behavior, reflecting an interdisciplinary ethos.
Neuromarketing & Consumer Behavior
I focus on how AI and data analytics can be used to address practical challenges in management, marketing, and public policy. This has led me to work on projects ranging from neuromarketing studies – where I use EEG and other biometric data to uncover how consumers respond to brands and products – to human resource analytics, where I apply machine learning to improve recruitment and talent management processes.
Brain-Computer Interfaces
By blending cognitive science with data mining, my aim is to derive insights that traditional approaches to business and management would overlook. One major strand of my research involves Brain-Computer Interfaces and cognitive enhancement technologies. For example, in a recent project I co-developed brain-signal-driven "serious games" to improve users' attention spans and learning outcomes.
This work not only contributes to the field of applied AI in education but also has implications for employee training and wellness programs in organizations. Another key area is social network analysis and organizational behavior: I have studied how information propagates through social networks within companies and online communities, and how these patterns can inform leadership strategies or public interventions.
My background in future studies further augments this, as I explore how emerging technologies (like AI and automation) might impact workforce dynamics and what adaptive strategies organizations can adopt. For instance, my doctoral research examined the concept of the technological singularity and its potential effects on human resource management in the coming decades.
Future Directions at Tokyo International University
At Tokyo International University, I would aim to continue and expand this interdisciplinary research. Being in Japan offers unique opportunities to collaborate on projects related to AI and society – from smart city initiatives to robotics in service industries – and to study these phenomena in a cross-cultural context.
I plan to actively involve students in my research, especially undergraduates who are interested in gaining hands-on research experience. Whether through assisting in data collection (perhaps on a neuromarketing experiment) or developing a prototype AI application for a business problem, students can benefit from and contribute to my projects.
Ultimately, the goal of my research is practical impact. I strive to publish in high-quality journals and conferences, but equally important to me is that the research can be translated into tangible solutions or policies. My involvement in startups in Japan and Europe has kept my research grounded in real-world needs – it allows me to identify relevant research questions and approach them with a balance of rigor and creativity.
In the next few years, I aim to produce work that not only advances academic understanding of AI's role in cognition and management but also serves businesses, communities, and learners in navigating the complex challenges of the modern world.
My interdisciplinary and applied approach to research aligns well with TIU's vision of innovation and global relevance, and I look forward to contributing to the university's research profile through collaborative, impactful projects.
