Interview Guide
Section 1: Early Life & Educational Journey
Objective: Explore formative experiences, academic choices, and cultural transitions.
- Let’s start with your roots, what was life like growing up in Bangladesh?
Prompt for storytelling about early influences.
When I was in my school I first realize I have a deep passion for business Learning. In 2019 when I studied Ahasanullah University of Science and Technology I come to know about the social business conference in Thailand hosted by Nobel laureate prof. Muhammad Yunus. I have joined there and get motivated from more business studies. After that I started my research and published my first research ( Empowering Change: The impact of Micro-credit on social business development ).
- What led you to study Finance initially, and later pivot to Management Information Systems in Los Angeles?
Unpack academic evolution.
As I’m passionate for business I started learn finance. When hackers siphoned nearly $81 million from Bangladesh Bank’s U.S. reserves via the Federal Reserve Bank of New York in 2016 and that always strikes into my head. So I started to learn information technology so that I can contribute my knowledge in country banking system . As you know in Bangladesh you can’t switch Business to IT. That’s why after graduating I came U.S. to pursue my MBA in Management information System from International American Univercity to learn more about IT and how it works in real business field. Like I published “Machine Learning-Based Detection and Analysis of Suspicious Activities in Bitcoin Wallet Transactions in the USA”
Section 2: Research & Innovation
Objective: Highlight technical achievements, challenges, and intellectual passions.
- “You’ve patented a business optimization device and copyrighted an AI analytics system. What problems do these solve?”
Discuss innovation impact
My patented business optimization device addresses the need for efficient, real-time decision-making in financial environments by providing a dedicated hardware terminal for AI-driven tasks like risk assessment and fraud detection. This solves the problem of fragmented analytical workflows, allowing analysts to interact securely with machine learning models without relying on generalized computing systems. Meanwhile, your copyrighted AI analytics system enhances data processing and model interpretability, tackling issues of transparency and reliability in automated financial forecasting. Together, they reduce operational delays and improve accuracy in high-stakes financial decisions. By integrating specialized hardware with advanced AI, these innovations bridge the gap between algorithmic insight and practical business application. Ultimately, they empower institutions to adopt AI more confidently and effectively in daily operations.
- “Out of your 23+ research papers, which one feels most personal or transformative?”
Prompt emotional connection.
Among my 23+ research papers, the one that feels most personal and transformative is "Public Health, Risk Perception, and Governance Challenges in the 2025 Los Angeles Wildfires: Evidence from a Community-Based Survey." This work is deeply personal because I was in Los Angeles during the catastrophic Palisades and Eaton Fires, witnessing the orange-hazed skies and the palpable fear in the community. The experience transformed me from a distant researcher into an empathetic witness, as I collected data directly from survivors who had lost homes, breathed toxic smoke, and grappled with profound psychological distress. Hearing their stories—of evacuation, loss, and a shaken trust in government response—forged an emotional connection that statistics alone could never capture. This project became a mission to amplify their voices and translate raw, human suffering into actionable evidence for change. It transformed my understanding of resilience, highlighting not just policy gaps, but the incredible strength of communities willing to rebuild and prepare together. The memory of standing with residents in affected neighborhoods, survey in hand, amidst the ashes of their lives, is a poignant reminder of why we do this work. This paper is not just a publication; it is a testament to shared trauma and a collective hope for a more resilient future. It fundamentally shaped my commitment to community-centered research that bridges the gap between academic inquiry and human need.
- Impactful Research paper, which may get more citation ?
The research paper titled "Harnessing artificial intelligence to strengthen green innovation capacity in pursuit of sustainable development goals: Evidence from Taiwan’s manufacturing sector" has strong potential to become highly cited due to its timely focus on AI-driven sustainability within a high-tech manufacturing context. By empirically validating the mediating role of green innovation capabilities between AI adoption and organizational performance, it offers actionable insights for both policymakers and industry leaders. The study's grounding in Dynamic Capabilities Theory and its use of robust PLS-SEM methodology enhance its academic credibility and relevance. Furthermore, its alignment with key UN Sustainable Development Goals (SDGs 9, 12, and 13) broadens its appeal across environmental, technological, and economic research communities. As AI and green innovation continue to gain global attention, this research provides a valuable framework for understanding how digital transformation can support sustainable industrial growth, positioning it as a significant contribution to interdisciplinary literature.
Section 3: Global Exposure & Collaboration
Objective: Understand international engagement and cross-cultural research impact.
- “You presented at the Social Business Academia Conference in Japan. What did you take away from that experience?”
Explore global perspectives.
From presenting at the SBAC in Japan, I gained valuable global perspectives on how different cultures approach AI ethics and social innovation. The exchange highlighted the need for culturally-sensitive, inclusive AI frameworks to ensure equitable impact worldwide.
- “How do you see AI and social entrepreneurship working together to solve real-world problems?”
Discuss ethical and scalable solutions.
AI and social entrepreneurship combine to create ethical, scalable solutions by leveraging data-driven insights to address systemic issues like poverty and healthcare access. By embedding principles like transparency and community co-design, AI can optimize resource allocation and expand impact while safeguarding against exclusion. This partnership enables sustainable, large-scale social change that is both effective and accountable.
Section 4: Achievements & Recognition
Objective: Showcase measurable impact, leadership roles, and future ambitions.
- “You’ve served as a peer reviewer and editorial board member. What’s your vision for shaping future research?”
Explore mentorship and influence.
My vision is to champion rigorous, replicable, and meaningful work by mentoring emerging scholars to question conventions and elevate the field's collective impact.
- “You’re helping close the AI skills gap. What’s your approach to global AI education and ethics?”
Discuss capacity building.
My approach democratizes AI education through open-source curricula and practical tools, while building global capacity by embedding ethics and safety into every layer of learning, not as an afterthought.
Section 5: Personal Growth & Motivation
Objective: Reveal personal philosophies, resilience, and work-life balance.
- “What habits or philosophies help you stay focused and motivated?”
Explore mindset.
The divine command "Iqra" establishes a lifelong mindset: to read is to begin a sacred pursuit of knowledge. Through consistent learning, we build the understanding required to lead, transforming daily focus into a purposeful journey of growth and service.
- “How do you balance technical research with business leadership?”
Discuss time management and priorities.
I anchor my time management in a ruthless prioritization of strategic vision, delegating technical execution while remaining deeply embedded in key research reviews to ensure innovation directly fuels our core business objectives.
Section 6: Vision for Bangladesh & the Future
Objective: Explore national impact, mentorship, and future goals.
- “What can Bangladesh do to better support young innovators in AI and business research?”
Discuss policy and education.
Bangladesh can foster young innovators by integrating applied AI and business curricula into national education, while establishing public-private grant funds and innovation hubs to provide mentorship, data access, and seed funding for scalable solutions.
- “What advice would you give to Bangladeshi students dreaming of global careers in data science or AI?”
Offer actionable guidance.
Master the mathematical fundamentals and coding skills through rigorous online courses and hands-on projects. Simultaneously, build a global portfolio by competing in international Kaggle competitions and contributing to open-source AI projects.
Section 7: Closing Reflections
Objective: End with inspiration and legacy.
- If you could share one message with the youth of Bangladesh, what would it be?
Encourage hope and ambition.
My message is rooted in the divine command: "IQRA!" Let this first word revealed to the Prophet (PBUH) be your guiding star—embrace it not just as reading, but as a quest for knowledge that will empower you to innovate, lead on the global stage, and uplift your nation with unwavering faith and ambition.
Written by Redoyan Chowdhury
Contract :+17184404357 ( c.redoyan@gmail.com )
340 S St Andrew’s pl,Los Angeles,California, U.S.A
