Amit verma

@siu-dubai.ac.ae

Assistant Professor - Management
Symbiosis International University

Amit verma


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https://researchid.co/ameethverma3

RESEARCH, TEACHING, or OTHER INTERESTS

Tourism, Leisure and Hospitality Management, Management of Technology and Innovation, Multidisciplinary, Strategy and Management
21

Scopus Publications

551

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Hybrid DEEP-learning model for resilient tourism enterprises
    Amit Verma, Priyanka Verma, Noura Mansoura, Shanthi Rajan
    Annals of Tourism Research Empirical Insights, 2026
    The tourism business is increasingly encountering disruptions due to external shocks, fluctuating demands, and changing tourist sentiments. Whereas conventional risk prediction models are mostly static and less responsive. The study aims to design a real-time decision support tool through a novel CRISP-LSTM11 Cascading Risk-Integrated Strategic Planning using Long Short-Term Memory model, integrating hierarchical LSTM structures with attention-driven multimodal fusion of tourism statistics, online reviews, and GDELT22 Global Database of Events, Language, and Tone events. The results reveal that CRISP-LSTM performs better than conventional models, with better precision, recall, F1-score, and AUC (0.86, 0.90, 0.88, and 0.92, respectively). Simulations on high-risk scenarios indicates reduced economic loss (40%) and recovery time (six months). The real-time CRISP-LSTM significantly enhances strategic results with extreme disruption scenarios. Thus, the study offers a practical and novel approach for tourism enterprise resilience.
  • Interactive QR Tourism System using gTTS & Groq
    Shaina Shores, Vinod Kumar Shukla, Amit Verma
    2025 International Conference on Computational Intelligence and Knowledge Economy Iccike 2025, 2025
    In an increasingly globalized world, providing multilingual and accessible information at cultural heritage sites is essential for enhancing the tourist experience. However, not all of these sites are equipped well enough to provide their users with this satisfactory experience. This paper presents the development and deployment of a cost-effective, web-based multilingual platform designed specifically for monuments in remote areas. The system allows users to scan QR code and access monument descriptions translated into their preferred language, accompanied by an audio playback for improved accessibility, particularly for non-native speakers and visually impaired individuals. Built using Flask as the backend framework, the application integrates Google Translate (via the googletrans library) for dynamic translation and Google Text-to-Speech (gTTS) for audio generation. The monument content is managed through a PostgreSQL database, while an interactive chatbot powered by the Groq API and LLaMA 3 model provides real-time conversational assistance. The application is deployed on Render, ensuring seamless access and scalability. This solution demonstrates how modern technologies can be combined to promote cultural inclusivity and enhance educational engagement at heritage sites.
  • Impact of Central Bank Digital Currencies on GDP, Forex, and Tourism
    Amit Verma, Noura Mansoura, Vinod Kumar Shukla
    Proceedings of the 2025 International Conference on Technology Enabled Economic Changes Intech 2025, 2025
    The increase in the Central Bank Digital Currencies (CBDCs) traction around the world and their impact on economic efficiency, GDP growth, financial sector earnings, and forex revenues is still under the observation in multiple countries, raising the key questions on financial inclusion. The introduction of CBDCs in tourism economies presents a complex trade-off between reducing forex fees and maintaining financial sector revenues. By eliminating intermediaries in currency exchange, CBDCs could significantly lower conversion costs for tourists, allowing them to spend more freely on local goods, services, and experiences. This increased spending has the potential to stimulate economic growth, particularly in sectors like hospitality, retail, and entertainment. However, the downside is that banks, money exchange services, and financial institutions that rely on forex transaction fees and spreads may see a decline in revenue. This could impact GDP contributions from the financial sector, particularly in economies where forex services play a major role. The key question is whether the economic boost from higher tourist spending will offset the lost revenues from currency exchanges-or whether governments and central banks will need to rethink their regulatory and tax policies to maintain financial stability in a digital currency landscape. The paper will be focusing on how CBDCs may influence tourism, foreign exchange revenues, and overall economic growth and provide the real time impact by summarizing the key questions such as the potential for CBDCs to enhance tourist spending, streamline payments, and affect global travel patterns. The paper would propose a model to support cross border CBDCs to enhance the stakeholders of the tourism industry for their specific roles while enhancing the convenience for the tourist.
  • The Role of Artificial Intelligence in Enhancing Personalized Tourism Marketing: The Mediating Effect of Consumer Engagement on Destination Choice in the UAE
    Pranav Kumar, Emad Y. Masoud, Anu Vij, Amit Verma
    2025 International Conference on Business Intelligence for Technology Innovation Icbiti 2025, 2025
  • Leveraging Artificial Intelligence for Smart Destination Marketing: The Mediating Role of Data-Driven Consumer Insights on Tourist Satisfaction
    Anu Vij EM Normandie, Pranav Kumar, Emad Y. Masoud, Amit Verma
    2025 International Conference on Business Intelligence for Technology Innovation Icbiti 2025, 2025
    The adoption of AI technology as its primary operating basis through advanced technological systems enables SDM to transform tourist industries. The tourism industry applies Artificial Intelligence automation so as to generate predictive models and personalized offerings for designing customized tourist projects. The study examines how AI enhances the operations of SDM services to produce improved tourist satisfaction by utilizing customer data insights. Three hundred and fifty international tourists utilizing Artificial Intelligence tourism platforms served as the sample base for research. SEM analysis verified both immediate research hypotheses and the single hypothesis concerning mediation effects. The implementation of Artificial Intelligence enhances both SDM operations and consumer insights generation processes to deliver highly satisfactory experiences to tourists. The study demonstrates that insights function as an essential connection which links AI technology to valuable user experiences of tourism services. This research enables tourism authorities and marketers to acquire strategic understanding about AI's worth for achieving personalized quality goals within tourism satisfaction systems.
  • Sustain Wise: A Cross-Cultural Artificial Intelligence Model for Predicting Eco-Conscious Consumer Behavior in UAE Hospitality
    Sarwat Jahan, Tajwar Hussaini, Syed Waqar Haider, Amit Verma, Afseer Majeed, Sidra Abid
    Proceedings 1st International Conference on Frontier Technologies and Solutions Icfts 2025, 2025
    The increasing urgency of climate change has placed sustainability at the forefront of global policy, business operations, and consumer preferences. In the hospitality industry-particularly within culturally diverse regions like the United Arab Emirates (UAE)-understanding eco-conscious behavior is both a strategic and operational imperative. This paper introduces Sustain Wise AI, a hybrid cross-cultural artificial intelligence model that predicts eco-conscious consumer behavior by integrating demographic survey data, behavioral transaction logs, and social sentiment analysis. The proposed model uniquely incorporates Hofstede's cultural dimensions through a dynamic attention mechanism, allowing it to account for nationality-specific behavioral norms that influence sustainability preferences. To evaluate its performance, SustainWise AI was benchmarked against nine widely used machine learning and deep learning models, including Logistic Regression, Random Forest, XGBoost, and standard Deep Neural Networks. The dataset included structured responses from 3,500 UAE-based hotel guests, 15,000 behavioral log entries, and over 100,000 sentiment-labeled reviews from TripAdvisor and Google. The model achieved superior results across all evaluation metrics: 91.48% accuracy, 92.37% precision, 90.25% recall, 91.30% F1-score, and 94.57% AUC. These results demonstrate the model's robust ability to generalize across heterogeneous cultural backgrounds and behavioral patterns. By fusing textual, transactional, and demographic features with cultural intelligence, Sustain Wise AI provides a scalable solution for eco-targeted marketing, green product customization, and sustainability impact assessments in the UAE's dynamic hospitality landscape. The model's ability to identify nuanced behavioral triggers and culturally conditioned sustainability cues marks a significant advancement in predictive behavioral modeling for sustainable development.
  • Future employments in the hospitality industry
    Artificial Intelligence for Smart Technology in the Hospitality and Tourism Industry, 2024
  • Blockchain integration in the hospitality industry
    Artificial Intelligence for Smart Technology in the Hospitality and Tourism Industry, 2024
  • Artificial intelligence for smart technology in the hospitality and tourism industry
    Artificial Intelligence for Smart Technology in the Hospitality and Tourism Industry, 2024
  • Digitalization and customer service standards: A service industry perspective
    Artificial Intelligence for Smart Technology in the Hospitality and Tourism Industry, 2024
  • Smart Innovation in the Hospitality and Tourism Industry
    Amit Verma, Wonda Grobbelaar, Vinod Kumar Shukla
    Computational Intelligence in Urban Infrastructure, 2023
  • Bitcoin Mining and Its Utility in the Healthcare Sector
    Industry 4 0 and Intelligent Business Analytics for Healthcare, 2022
  • Next Step to the Future of Restaurants Through Artificial Intelligence and Facial Recognition
    Uzayruddin Siddiqui Mohammed, Vinod Kumar Shukla, Robin Sharma, Amit Verma
    Lecture Notes in Networks and Systems, 2022
  • Implementation of support vector machines algorithm through R-language for diabetes database testing
    Mohammed Sanghar, Vinod Kumar Shukla, Amit Verma, Purushottam Sharma
    Proceedings of the Confluence 2021 11th International Conference on Cloud Computing Data Science and Engineering, 2021
  • Analyzing human robotic interaction in the food industry
    Wonda Grobbelaar, Amit Verma, Vinod Kumar Shukla
    Journal of Physics Conference Series, 2021
  • Convergence of IOT in tourism industry: A pragmatic analysis
    Amit Verma, Vinod Kumar Shukla, Robin Sharma
    Journal of Physics Conference Series, 2021
  • Enhancing sustainable customer dining experience through QR code and geo-fencing
    Diogo Davidson Albuquerque, Vinod Kumar Shukla, Amit Verma, Sanjay Kumar Tyagi, Purushottam Sharma
    Proceedings of International Conference on Computation Automation and Knowledge Management Iccakm 2020, 2020
  • Enhancing User Navigation Experience, Object identification and Surface Depth Detection for "low Vision" with Proposed Electronic Cane
    Vinod Kumar Shukla, Amit Verma
    2019 Advances in Science and Engineering Technology International Conferences Aset 2019, 2019
  • Model for User Customization in wearable Virtual Reality Devices with IoT for 'Low Vision'
    Vinod Kumar Shukla, Amit Verma
    Proceedings 2019 Amity International Conference on Artificial Intelligence Aicai 2019, 2019
  • Enhancing LMS Experience through AIML Base and Retrieval Base Chatbot using R Language
    Vinod Kumar Shukla, Amit Verma
    2019 International Conference on Automation Computational and Technology Management Icactm 2019, 2019
  • Strengthening People Analytics through Wearable IOT Device for Real-Time Data Collection
    Bhawna Gaur, Vinod Kumar Shukla, Amit Verma
    2019 International Conference on Automation Computational and Technology Management Icactm 2019, 2019

RECENT SCHOLAR PUBLICATIONS

  • Blockchain integration in the hospitality industry
    W Grobbelaar, A Verma, VK Shukla
    Artificial Intelligence for Smart Technology in the Hospitality and Tourism … , 2024
    2024
    Citations: 2
  • Digitalization and Customer Service Standards: A Service Industry Perspective
    R Sharma, A Verma, VK Shukla
    Artificial Intelligence for Smart Technology in the Hospitality and Tourism … , 2024
    2024
  • Future employments in the hospitality industry
    W Grobbelaar, A Verma
    Artificial intelligence for smart technology in the hospitality and tourism … , 2024
    2024
    Citations: 12
  • Smart innovation in the hospitality and tourism industry
    A Verma, W Grobbelaar, VK Shukla
    Computational intelligence in urban infrastructure, 94-116 , 2023
    2023
    Citations: 7
  • Diversity and inclusion through technological trends
    IE Eze, VK Shukla, A Verma
    Creating a Culture of Diversity and Inclusiveness in India Inc … , 2021
    2021
    Citations: 7
  • Next step to the future of restaurants through artificial intelligence and facial recognition
    US Mohammed, VK Shukla, R Sharma, A Verma
    Cyber Intelligence and Information Retrieval: Proceedings of CIIR 2021, 89-101 , 2021
    2021
    Citations: 19
  • Implementation of support vector machines algorithm through R-language for diabetes database testing
    M Sanghar, VK Shukla, A Verma, P Sharma
    2021 11th International Conference on Cloud Computing, Data Science … , 2021
    2021
    Citations: 5
  • Analyzing human robotic interaction in the food industry
    W Grobbelaar, A Verma, VK Shukla
    Journal of Physics: Conference Series 1714 (1), 012032 , 2021
    2021
    Citations: 81
  • Convergence of IOT in tourism industry: A pragmatic analysis
    A Verma, VK Shukla, R Sharma
    Journal of Physics: Conference Series 1714 (1), 012037 , 2021
    2021
    Citations: 76
  • Vocational training and industry IR 4.0 in a smart city
    W Grobbelaar, A Verma
    International Conference on Business Management, Innovation & Sustainability … , 2020
    2020
    Citations: 7
  • When the Next Celebrity Chef Is a Robot, and You Are His Team Mate, How Will You Feel?
    W Grobbelaar, A Verma
    International Conference on Business Management, Innovation & Sustainability … , 2020
    2020
    Citations: 1
  • Enhancing sustainable customer dining experience through QR code and geo-fencing
    DD Albuquerque, VK Shukla, A Verma, SK Tyagi, P Sharma
    2020 International Conference on Computation, Automation and Knowledge … , 2020
    2020
    Citations: 27
  • When the Next Celebrity Chef Is a Robot, and You Are His Team Mate, How Will You Feel?
    A Verma
    How Will You Feel , 2020
    2020
    Citations: 1
  • Strengthening people analytics through wearable IOT device for real-time data collection
    B Gaur, VK Shukla, A Verma
    2019 international conference on automation, computational and technology … , 2019
    2019
    Citations: 102
  • Enhancing LMS experience through AIML base and retrieval base chatbot using R language
    VK Shukla, A Verma
    2019 International Conference on Automation, Computational and Technology … , 2019
    2019
    Citations: 71
  • Enhancing User Navigation Experience, Object identification and Surface Depth Detection for" Low Vision" with Proposed Electronic Cane
    VK Shukla, A Verma
    2019 Advances in Science and Engineering Technology International … , 2019
    2019
    Citations: 20
  • Analyzing the influence of IoT in Tourism Industry
    A Verma, V Shukla
    Proceedings of international conference on sustainable computing in science … , 2019
    2019
    Citations: 79
  • Model for User Customization in wearable Virtual Reality Devices with IoT for “Low Vision”
    VK Shukla, A Verma
    2019 Amity International Conference on Artificial Intelligence (AICAI), 806-810 , 2019
    2019
    Citations: 27
  • Vocational Training and Industry IR 4.0 in a Smart City
    A Verma
    International Conference on Sustainable Computing in Science, Technology … , 2019
    2019
  • The rise of Fujairah: An emerging destination of the United Arab Emirates (UAE)
    M Vij, A Verma
    International Journal of Excellence in Tourism, Hospitality & Catering 7 (1-2) , 2016
    2016
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Strengthening people analytics through wearable IOT device for real-time data collection
    B Gaur, VK Shukla, A Verma
    2019 international conference on automation, computational and technology … , 2019
    2019
    Citations: 102
  • Analyzing human robotic interaction in the food industry
    W Grobbelaar, A Verma, VK Shukla
    Journal of Physics: Conference Series 1714 (1), 012032 , 2021
    2021
    Citations: 81
  • Analyzing the influence of IoT in Tourism Industry
    A Verma, V Shukla
    Proceedings of international conference on sustainable computing in science … , 2019
    2019
    Citations: 79
  • Convergence of IOT in tourism industry: A pragmatic analysis
    A Verma, VK Shukla, R Sharma
    Journal of Physics: Conference Series 1714 (1), 012037 , 2021
    2021
    Citations: 76
  • Enhancing LMS experience through AIML base and retrieval base chatbot using R language
    VK Shukla, A Verma
    2019 International Conference on Automation, Computational and Technology … , 2019
    2019
    Citations: 71
  • Enhancing sustainable customer dining experience through QR code and geo-fencing
    DD Albuquerque, VK Shukla, A Verma, SK Tyagi, P Sharma
    2020 International Conference on Computation, Automation and Knowledge … , 2020
    2020
    Citations: 27
  • Model for User Customization in wearable Virtual Reality Devices with IoT for “Low Vision”
    VK Shukla, A Verma
    2019 Amity International Conference on Artificial Intelligence (AICAI), 806-810 , 2019
    2019
    Citations: 27
  • Enhancing User Navigation Experience, Object identification and Surface Depth Detection for" Low Vision" with Proposed Electronic Cane
    VK Shukla, A Verma
    2019 Advances in Science and Engineering Technology International … , 2019
    2019
    Citations: 20
  • Next step to the future of restaurants through artificial intelligence and facial recognition
    US Mohammed, VK Shukla, R Sharma, A Verma
    Cyber Intelligence and Information Retrieval: Proceedings of CIIR 2021, 89-101 , 2021
    2021
    Citations: 19
  • Future employments in the hospitality industry
    W Grobbelaar, A Verma
    Artificial intelligence for smart technology in the hospitality and tourism … , 2024
    2024
    Citations: 12
  • Smart innovation in the hospitality and tourism industry
    A Verma, W Grobbelaar, VK Shukla
    Computational intelligence in urban infrastructure, 94-116 , 2023
    2023
    Citations: 7
  • Diversity and inclusion through technological trends
    IE Eze, VK Shukla, A Verma
    Creating a Culture of Diversity and Inclusiveness in India Inc … , 2021
    2021
    Citations: 7
  • Vocational training and industry IR 4.0 in a smart city
    W Grobbelaar, A Verma
    International Conference on Business Management, Innovation & Sustainability … , 2020
    2020
    Citations: 7
  • Implementation of support vector machines algorithm through R-language for diabetes database testing
    M Sanghar, VK Shukla, A Verma, P Sharma
    2021 11th International Conference on Cloud Computing, Data Science … , 2021
    2021
    Citations: 5
  • The rise of Fujairah: An emerging destination of the United Arab Emirates (UAE)
    M Vij, A Verma
    International Journal of Excellence in Tourism, Hospitality & Catering 7 (1-2) , 2016
    2016
    Citations: 4
  • Contentment level of pilgrims in India: A review
    A Verma
    International Journal of Management Research and Business Review 3, 55-60 , 2014
    2014
    Citations: 3
  • Blockchain integration in the hospitality industry
    W Grobbelaar, A Verma, VK Shukla
    Artificial Intelligence for Smart Technology in the Hospitality and Tourism … , 2024
    2024
    Citations: 2
  • When the Next Celebrity Chef Is a Robot, and You Are His Team Mate, How Will You Feel?
    W Grobbelaar, A Verma
    International Conference on Business Management, Innovation & Sustainability … , 2020
    2020
    Citations: 1
  • When the Next Celebrity Chef Is a Robot, and You Are His Team Mate, How Will You Feel?
    A Verma
    How Will You Feel , 2020
    2020
    Citations: 1
  • Digitalization and Customer Service Standards: A Service Industry Perspective
    R Sharma, A Verma, VK Shukla
    Artificial Intelligence for Smart Technology in the Hospitality and Tourism … , 2024
    2024