Dr. Archan Mitra is an Assistant Professor at School of Media Studies (SOMS) at Presidency University, Bangalore. He is the author of four books “Cases for Classroom Media and Entertainment Business”,“Multiverse and Media”,“Witchcarft in Meda”, and “Event Management” he also has other several edited books to his credit. He has done his doctorate from Visva-Bharati Santiniketan, West Bengal in the field of “environmental informatics and communication for sustainability”. In addition to that he is a certified Science Communicator and Journalism from Indian Science Communication Society (ISCOS), certified Corporate Trainer with Amity Institute of Training and Development, Certified Social Media Network Analyst. He has a strong interest in environmental communication. He was awarded certificate of merit by PRSI, Kolkata Chapter and Medal of Honor by Journalistic Club of Kolkata. He was working as a research assistant with the World Bank's “Environmental Capacity Building in Southeast Asia”
EDUCATION
Ph.D. in Information Environment and Communication from Visva Bharati University India
RESEARCH, TEACHING, or OTHER INTERESTS
Communication, Environmental Science, Development, Social Sciences
The Development of AI-Driven Predictive Models for Early Detection of Alzheimer’s Disease: Integrating Neuroimaging and Genetic Data for Enhanced Diagnostic Accuracy Biomedical Engineering and Signal Processing with AI and ml, 2026
Integrating Traditional Ecological Knowledge of the Apatani Tribe into Open Science Platforms: Challenges and Opportunities Archan Mitra, Sanchita Paul Empowering Resilient Communities Through Climate Action Renewable Energy and Waste Management, 2026 The Apatani tribe of Ziro Valley, Arunachal Pradesh, India, is renowned for its sustainable practices, including paddy-cum-fish cultivation and innovative water management. This study explores the integration of their Traditional Ecological Knowledge (TEK) into open science platforms to promote global sustainability and heritage preservation. Using participatory methods, it documents agricultural systems, biodiversity conservation, and adaptive strategies while addressing challenges such as linguistic barriers, intellectual property concerns, and cultural sensitivities. Ethical considerations, including community consent and equitable benefit-sharing, are central to the proposed framework. The research highlights how Apatani TEK can serve as a global model for integrating indigenous knowledge into modern science, fostering inclusive knowledge systems, and offering innovative solutions to pressing environmental challenges.
Leveraging Artificial Intelligence for Data-Driven Decision Making: A Strategic Approach to Gaining Competitive Advantage Vishal Jain, Archan Mitra Business Technology Strategies for Decision Making and Competitive Advantage, 2026 The transformative potential of Artificial Intelligence (AI) in data-driven decision-making is reshaping organizational strategies and competitive landscapes. This study explores the strategic integration of AI technologies to enhance decision-making efficiency, improve accuracy, and sustain competitive advantage across industries. By leveraging tools such as machine learning, natural language processing, and predictive analytics, AI empowers organizations to analyze complex datasets and predict market dynamics with unprecedented precision. The research adopts a mixed-methods approach, combining qualitative insights from industry leaders with quantitative data analysis, revealing how AI impacts strategic planning, operational efficiencies, and market positioning. Initial findings underscore the challenges in aligning AI with existing workflows, yet highlight its critical role in driving innovation, agility, and customer-centric strategies. Recommendations emphasize fostering a culture of innovation, aligning AI with strategic goals, and investing in scalable solutions.
Sustainable Marketing Communications Strategies: For Promoting Environmental Responsibility in the Digital Age Archan Mitra, Ruma Roy Practices Strategies and Emerging Trends in Marketing for Global Expansion, 2026 In an era where environmental concerns are increasingly influencing consumer behavior, organizations are compelled to adopt sustainable marketing communications that reflect their commitment to environmental responsibility. This chapter examines the role of sustainable marketing communications in shaping consumer perceptions and driving eco-friendly purchasing decisions. It explores various strategies, including the use of digital platforms, storytelling, and transparency, to effectively convey sustainability initiatives and values to target audiences. The chapter also analyzes the challenges and opportunities associated with implementing sustainable marketing communications, such as avoiding greenwashing and ensuring message authenticity. By evaluating case studies and current literature, this work aims to provide insights into best practices for integrating sustainability into marketing communications, thereby fostering consumer trust and promoting environmental stewardship.
Cognitive AI for Adaptive and Resilient Urban Transportation: A Data-driven Approach to Sustainable Mobility Vishal Jain, Archan Mitra, Sanchita Paul Artificial Intelligence AI for Smart and Sustainable Urban Transportation, 2026 The increasing complexity of urban transportation networks necessitates the integration of cognitive artificial intelligence (AI) to develop adaptive, efficient, and sustainable mobility solutions. This study explores the role of Cognitive AI in real-time decision-making, traffic optimization, and resilient urban transport systems. Unlike conventional AI models, Cognitive AI employs machine learning, deep learning, and neural-symbolic reasoning to dynamically adjust to changing traffic conditions, optimize public transportation systems, and enhance sustainable mobility. The paper investigates AI-driven dynamic traffic management, leveraging multisource data from IoT sensors, GPS, CCTV, and weather systems to predict and mitigate congestion. Additionally, it examines intelligent public transport scheduling, where AI-powered predictive analytics optimize fleet allocation and passenger distribution. The research also highlights the role of cognitive AI in autonomous vehicle (AV) coordination, enabling real-time decision-making for adaptive route planning and self-learning vehicular interactions. Furthermore, the study proposes AI-enhanced predictive maintenance models, integrating blockchain-based transport data security for infrastructure resilience. A key focus is the integration of AI-driven carbon footprint tracking and smart mobility solutions, optimizing EV charging networks and green transportation alternatives to reduce urban emissions. Through an interdisciplinary approach combining big data analytics, RL, and AI-driven policy modeling, this research presents a framework for AI-augmented transport ecosystems that enhance efficiency, reduce congestion, and promote sustainability. Empirical case studies from global smart cities demonstrate the practical application of cognitive AI in urban mobility, highlighting its impact on adaptive traffic control, multimodal transport coordination, and infrastructure resilience. The findings offer a roadmap for policymakers, urban planners, and AI practitioners to deploy scalable, AI-driven transportation systems. By bridging AI cognition, IoT connectivity, and sustainable urban logistics, this study contributes to the evolving discourse on AI-powered smart cities and the future of resilient urban transportation.
Integrating Biodiversity and Circular Bioeconomy Practices for Climate Resilience in the Indian Himalayan Region Vishal Jain, Archan Mitra, Sanchita Paul Harnessing Biodiversity for A Sustainable Bioeconomy, 2026 The Indian Himalayan Region (IHR), a biodiversity hotspot, is vital for ecosystem services and local livelihoods but is increasingly threatened by climate change and unsustainable practices. This chapter explores a circular bioeconomy model to enhance climate resilience and sustainable development in the IHR. It emphasizes integrating traditional knowledge with biotechnologies like biochar, composting, and genetic resource use to build zero-waste systems. Through interdisciplinary analysis and case studies from Sikkim and Himachal Pradesh, the chapter evaluates policy frameworks and demonstrates successful biodiversity-driven initiatives. It concludes with strategic recommendations on governance, community participation, and innovation. The chapter offers a replicable model for fostering ecological regeneration and socio-economic sustainability in fragile mountain ecosystems globally.
Bridging Millennia: Digital Narratives as Custodians of Oral Heritage in India Mayuree Pal, C. P. Rashmi, Archan Mitra Local History Education for Shaping Global Citizenship, 2026 Traditional oral storytelling is in danger of becoming obsolete in the fast-digital world. Through a thorough analysis, it investigates how digital platforms improve accessibility, encourage participation from a range of audiences, and make oral histories easier to archive. The study also looks at case studies highlighting the methods and tools used to preserve Indigenous stories, folktales, and dialects through digital storytelling. This study aims to analyze how digital storytelling might assist in retrieving, disseminating, and revitalizing oral traditions. This is accomplished through a literature review, examining case studies, podcasts, and readily available videos. It discusses the difficulties in digital archiving, copyright concerns, the digital divide, and maintaining authenticity, and it offers solutions for both genuine representation and efficient preservation. Combining digital storytelling with oral traditions creates a dynamic medium for cultural expression and education, promoting better awareness and appreciation of the rich tapestry of oral histories worldwide.
Exploring ESG Integration: Strategies for Sustainable and Responsible Investing Sustainable Investing Navigating Environmental Social and Governance Esg Challenges and Opportunities, 2025
The Impact of IoT on the Environment: A Descriptive Study in India Intelligent Decision Support System for Iot Enabling Technologies Opportunities Challenges and Applications, 2024
