Meng-Chun Kao | Sustainable Development | Best Researcher Award

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Prof. Meng-Chun Kao | Sustainable Development | Best Researcher Award

Department of Business Administration at Yuanpei University of Medical Technology, Taiwan

Dr. Meng-Chun Kao is an Associate Professor in the Department of Business Administration at Yuanpei University of Medical Technology, Taiwan. With expertise in accounting, finance, business management, and AI applications, she has published extensively in high-impact journals and contributed to innovative teaching methodologies. Her research integrates technology, sustainability, and education to improve business practices.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. (2008) – Accounting, Graduate School of Management, Yuan Ze University, Taiwan

  • M.B.A. (1999) – Finance, Graduate School of Management, Yuan Ze University, Taiwan

  • B.B.A. (1996) – Business Administration, Tamkang University, Taiwan

Professional Experience 💼

  • Associate Professor (2022–Present), Yuanpei University of Medical Technology

  • Assistant Professor (2008–2022), Yuanpei University of Medical Technology

  • Lecturer & Chair (1999–2008), Nanya Institute of Technology & Chin-Min Institute of Technology

  • Deputy Director (2001–2002), Chinese Management Elite Association

Research Interests 🔬

  • Accounting & Finance

  • Business Management

  • Teaching Innovation

  • Sustainable Development

  • Big Data Analysis & AI Applications

Awards and Honors🏆✨

  • Model Teacher Award, Private Education Association of ROC (2024)

  • Excellent Teaching Award, Yuanpei University of Medical Technology (2024)

  • Outstanding Research Award, Yuanpei University of Medical Technology (2022–2023)

  • Outstanding Talent Award, National Science and Technology Council (2022, 2024)

  • Excellence in Teaching Award (2020–2023)

Conclusion🌟

Dr. Kao is a distinguished researcher and educator recognized for her contributions to business education, sustainability, and AI applications. Her innovative approaches in gamified learning and big data analysis have significantly impacted academic and industry practices.

Publications 📚

1️⃣ Chiu, M. C., Tu, Y. L., & Kao, M. C.* (2025). Integrating TPB and Gamification to Promote Green Eating Behaviors: A Case Study of Food Carbon Footprint Tracking System. 🌍 Environmental Development, 101153. (SCI, IF: 4.7, Q2 in Environmental Sciences)

2️⃣ Kao, M. C., Yuan, Y. H., & Wang, Y. X. (2023). The study on designed gamified mobile learning model to assess students’ learning outcome of accounting education. 🎮📚 Heliyon, 9, e13409. (SCI, IF: 3.4, Q1 in Multidisciplinary Sciences) 🏅 Best Researcher Award

3️⃣ Chiu, M. C., Wei, C. J., Wang, Y. C., & Kao, M. C.* (2023). Applying unsupervised learning method to develop a regional risk model based on TCFD: A case study in the United States. 🌱💻 Journal of Cleaner Production, 400, 136669. (SCI, IF: 9.8, Q1 in Environmental Sciences)

4️⃣ Chiu, M. C., Tu, Y. L., & Kao, M. C.* (2022). Applying deep learning image recognition technology to promote environmentally sustainable behavior. 🤖♻️ Sustainable Production and Consumption, 31, 736–749. (SCI, SSCI, IF: 10.1, Q1 in Green & Sustainable Science & Technology)

5️⃣ Huang, H. C., Lai, M. C., Kao, M. C., & Sung, C. H. (2014). A Team-Learning Framework for Business Model Innovation in an Emerging Market. 👥💡 Journal of Management & Organization, 20(1), 100–120. (SSCI, IF: 3.1, Q2 in Management)

6️⃣ Huang, H. C., Lai, M. C., Kao, M. C., & Chen, Y. C. (2012). Target Costing, Business Model Innovation, and Firm Performance: An Empirical Analysis of Chinese Firms. 📊🇨🇳 Canadian Journal of Administrative Sciences, 29(4), 322–335. (SSCI, IF: 1.2, Q3 in Management)

7️⃣ Lai, M. C., Wang, W. K., Huang, H. C., & Kao, M. C. (2011). Linking the Benchmarking Tool to a Knowledge-based System for Performance Improvement. 📈🤖 Expert Systems with Applications, 38(8), 10579–10586. (SCI, IF: 7.5, Q1 in AI)

8️⃣ Kao, M. C.* (2025). The impact of corporate sustainability announcements and the COVID-19 pandemic on stock prices: Evidence from the Taiwan stock market. 💹 Journal of Accounting, Finance & Management Strategy, Accepted. (EconLit)

9️⃣ Kao, M. C.* (2021). Impact of COVID-19 Pandemic on Different Industries in Taiwan Stock Market—A Case Study of Electronics and Biotech Industries. 📉🦠 Journal of Accounting, Finance & Management Strategy, 16(2), 137–158. (EconLit)

🔟 Chen, Y. H., & Kao, M. C.* (2015). The Effects of Acquisition Targets, Diversification and Market Power on Cost Efficiency: Evidence from Taiwanese Banks. 🏦📊 International Business Research, 8(2), 71–82. (EconLit)

Jaime Santos-Reyes | Environmental Science | Best Researcher Award

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Dr. Jaime Santos-Reyes | Environmental Science | Best Researcher Award

Lecturer at Instituto Politécnico Nacional, Mexico

Dr. Jaime Reynaldo Santos-Reyes is a Lecturer and Researcher at Instituto Politécnico Nacional (IPN), Mexico, specializing in systemic safety management, risk analysis, and critical infrastructure resilience. He holds a Ph.D. from Heriot-Watt University, UK, an MSc in Thermal Power and Fluid Engineering from UMIST, and a BSc in Mechanical Engineering from IPN. With extensive experience in academia and consultancy, he has led numerous government-funded and industry-sponsored projects on disaster risk reduction, transportation safety, and emergency preparedness. His contributions to public safety and infrastructure resilience have earned him recognition from organizations such as CONACYT and the Mexico City Government.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Engineering – Heriot-Watt University, UK (2001)
    • Thesis: The Development of a Fire Safety Management System (FSMS)
  • MSc in Thermal Power and Fluid Engineering – UMIST, Manchester University, UK
  • BSc in Mechanical Engineering – Instituto Politécnico Nacional (IPN), Mexico

Professional Experience 💼

  • Lecturer / Researcher – Instituto Politécnico Nacional (IPN), Mexico
  • Post-Doctoral Researcher – Applied FSMS model to critical infrastructures such as offshore installations, the UK railway network, and tunnels
  • Consultant & Principal Investigator – Multiple government-funded and industry-sponsored projects on systemic safety, risk management, and infrastructure resilience

Research Interests 🔬

  • Systemic Safety Management and Risk Analysis
  • Critical Infrastructure Resilience
  • Emergency Preparedness and Disaster Risk Reduction
  • Seismic Risk Perception and Public Safety
  • Transportation Safety and Mass Evacuation Strategies

Awards and Honors🏆✨

  • Funded research projects by CONACYT (Mexico’s National Council of Science and Technology)
  • Recognized by Mexico City Government & Metro Mass Transit System for contributions to public safety and transportation research
  • Contributor to major Railway Safety Research Programmes (UK)

Conclusion🌟

Dr. Jaime Reynaldo Santos-Reyes has made significant contributions to systemic safety management, risk assessment, and critical infrastructure resilience. His research and consultancy work have influenced public safety policies, emergency preparedness, and transportation safety strategies. His expertise and innovative approach make him a strong candidate for the Global Innovation Technologist Awards.

Publications 📚

  1. 🌍 Planning for the Unexpected: Exploring the 2024 Global IT Outage (GITO) Impact on Critical Infrastructures
    🏛 Sustainable Futures, 2025 | 📑 0 citations

  2. ⚠️ Awareness and Risk Perception of a Multi-Hazard Megacity: The Case of Adolescent Students
    🏛 Safety Science, 2024 | 📑 2 citations

  3. 🌍 Adolescents’ Responses to the 2017 Puebla Earthquake in Mexico City
    🏛 Journal of Disaster Research, 2023 | 📑 4 citations

  4. 🚴‍♂️ The Use of Mobile Phones and Other Unsafe Behavior While Cycling in the Metropolitan Area of Mexico City
    🏛 Sustainability (Switzerland), 2023 | 📑 2 citations

  1. ☔ Predicting Rainfall by Fuzzy Logic: A Preliminary Analysis of a Case Study in Mexico
    🏛 No source information available | 📑 0 citations

  2. 🎓 Impact of Disasters in Higher Education: Disruption and Facility Affectations
    🏛 No source information available | 📑 0 citations

  3. 🚎 Accidents in Mass Transit Systems: The Case of Trolleybus in Mexico City
    🏛 No source information available | 📑 0 citations

  4. 📢 Seismic Risk Communication: The Case of Preparatory Schools in Mexico City
    🏛 No source information available | 📑 0 citations

  5. ✈️ Planning for a Trip: Selecting the Mode of Air Transport
    🏛 No source information available | 📑 1 citation

 

 

 

Anita Gehlot | Sustainable Development Goals | Women Researcher Award

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Prof. Dr. Anita Gehlot | Sustainable Development Goals | Women Researcher Award

Professor at Uttaranchal University, India

Dr. Anita is an experienced educator, researcher, and innovator with a strong background in electronics and communication engineering. She is highly regarded for her work in AI, IoT, and sensor networks, with over 350+ published papers and 47 granted patents. She has mentored multiple Ph.D. students, contributing to advancements in technology and innovation. Dr. Anita was also ranked 6th among India’s top inventors (2010–2020) by Clarivate Analytics in March 2021. With a passion for mentoring and innovation, she continues to inspire students and researchers to push the boundaries of technology. 🌟📚💡🔬

Publication Profile : 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Electronics Engineering, University of Petroleum and Energy Studies, Dehradun (2018)
    Thesis: Modelling, Optimization, and Implementation of Sensor Nodes for Authentication of Two-Wheeler Ignition
  • M.E. in Electronics & Communication Engineering, Panjab University, Chandigarh (2009)
    Title: Performance Analysis of Neural Network-Based Particle Swarm Optimization Algorithm for Wireless Sensor Networks
  • B.Tech in Electronics & Communication Engineering, Guru Jambheshwar University, Hisar (2005)

Professional Experience 💼

Dr. Anita has over 16 years of experience in academia, with a notable leadership role as Professor & Head of Research & Innovation at Uttaranchal University since 2021. She has previously held significant teaching and administrative roles at esteemed institutions such as Lovely Professional University, University of Petroleum and Energy Studies, and Baddi University. Her experience spans across assistant professor to lecturer roles, where she has contributed to the growth of engineering education and research. Dr. Anita has supervised numerous research projects and Ph.D. candidates, including topics in machine learning, IoT, and sensor networks.

Research Interests 🔬

  • Embedded Systems
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Wireless Sensor Networks (WSN)
  • Automation
  • Internet of Things (IoT)

Dr. Anita’s research primarily focuses on the modeling and optimization of sensor networks, machine learning applications, and IoT-based systems. She is particularly interested in AI algorithms, wireless communication, and smart technologies for real-time applications.

Publications 📚

  • Vaish, K., Sharma, M., Kathuria, S., Akram, S.V., Malik, P.K. (2024). Leveraging wireless technology and IoT in developing a smart judiciary system with smart dust sensors. Intelligent Networks: Techniques, and Applications, 129–151.
  • Tiwari, S., Gehlot, A., Singh, R., Twala, B., Priyadarshi, N. (2024). Design of an iterative method for disease prediction in finger millet leaves using graph networks, dyna networks, autoencoders, and recurrent neural networks. Results in Engineering, 24, 103301.
  • Swami, S., Singh, R., Gehlot, A., Kumar, D., Shah, S.K. (2024). Vision-based approach for human motion detection and smart appliance control. IAES International Journal of Robotics and Automation, 13(4), 445–451.
  • Kumar, V., Singh, R., Gehlot, A., Priyadarshi, N., Twala, B. (2024). Various computational methods for highway health monitoring in terms of detection of black ice: a sustainable approach in Indian context. Discover Sustainability, 5(1), 245.
  • Bhatt, H., Bahuguna, R., Swami, S., Priyadarshi, N., Twala, B. (2024). Integrating industry 4.0 technologies for the administration of courts and justice dispensation—a systematic review. Humanities and Social Sciences Communications, 11(1), 1076.
  • Gopichand, G., Sarath, T., Dumka, A., Priyadarshi, N., Twala, B. (2024). Use of IoT sensor devices for efficient management of healthcare systems: a review. Discover Internet of Things, 4(1), 8.
  • Pachouri, V., Chandramauli, A., Singh, R., Priyadarshi, N., Twala, B. (2024). Removal of contaminants by chlorella species: an effort towards sustainable remediation. Discover Sustainability, 5(1), 19.
  • Krishna, G., Singh, R., Gehlot, A., Akram, S.V. (2024). An IoT-based predictive model for improved battery management system using advanced LSTM model. Journal of Energy Storage, 101, 113694.
  • Singh, R., Gehlot, A., Joshi, K. (2024). Revolutionizing health services: Industry 4.0 aligned systems for the future. In Advanced Technologies for Realizing Sustainable Development Goals: 5G, AI, Big Data, Blockchain, and Industry 4.0 Application (pp. 231–237).
  • Singh, R., Gehlot, A., Joshi, K. (2024). The integration of robotics in advancing smart health echo systems. In Advanced Technologies for Realizing Sustainable Development Goals: 5G, AI, Big Data, Blockchain, and Industry 4.0 Application (pp. 238–243).

 

 

Divya P.V | Sustainable Materials | Best Researcher Award

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Assoc. Prof. Dr. Divya P.V | Sustainable Materials | Best Researcher Award

Associate Professor at Indian Institute of Technology Palakkad, India

Dr. Divya P.V. is an Associate Professor of Civil Engineering (Geotechnical Engineering) at IIT Palakkad, with over 10 years of teaching and research experience, including 9.2 years post-PhD. She holds a Ph.D. from IIT Bombay and has previously served at VIT University and NIT Calicut. Her research expertise lies in Ground Improvement, Geosynthetics, Slope Stabilization, and Green-Geotechnics, and she has published 50 papers, including 25 in international journals. Dr. Divya has led several high-profile research and consultancy projects, receiving multiple awards for her contributions to geotechnical engineering, including the ISIGS-Smt. Indra Joshi Biennial Award and recognition for excellence in PhD research.

Publication Profile : 

Scopus

 

🎓 Educational Background :

  • Ph.D. in Civil Engineering (Geotechnical Engineering) from IIT Bombay, India.
  • M.Tech
  • B.Tech

💼 Professional Experience :

Dr. Divya P.V. has over 10.6 years of academic and professional experience in geotechnical engineering, with 9.2 years of post-PhD experience. She is currently serving as an Associate Professor in the Department of Civil Engineering at IIT Palakkad, India, a position she has held since November 2021. Prior to this, she was an Assistant Professor at IIT Palakkad from July 2017 to November 2021. Her earlier roles include serving as an Associate Professor at VIT University, India, from January 2013 to December 2015, and as a Lecturer at NIT Calicut in 2006. Throughout her career, Dr. Divya has contributed significantly to geotechnical engineering education and research, guiding multiple PhD and MS students and managing various sponsored R&D and consultancy projects.

📚 Research Interests : 

Dr. Divya’s research focuses on a range of geotechnical engineering topics, including ground improvement, geosynthetics, reinforced soil structures, slope stabilization, and landslide mitigation. She is particularly interested in green-geotechnics, which involves sustainable practices in geotechnical engineering. Additionally, she employs centrifuge modelling and image analysis techniques in her research to better understand the behavior of soils and structures under various conditions.

📝 Publication Top Notes :

  1. Shaji, S., & Divya, P. V. (2024). Sustainable ground improvement of soft clay using eggshell lime and rice husk ash. Construction and Building Materials, 441, 137460.
  2. Anita, A., & Divya, P. V. (2024). Construction and demolition waste as a sustainable backfill for geosynthetic-reinforced MSE walls. International Journal of Geosynthetics and Ground Engineering, 10(3), 36.
  3. Sebastian, S., & Divya, P. V. (2024). Natural fibres: A sustainable material for geotextile applications. Indian Geotechnical Journal, 54(3), 1056–1072.
  4. Divya, P. V. (2024). Geosynthetic reinforced soil structures: Forensic investigation on failures and remedial measures. Indian Geotechnical Journal, 54(1), 258–265.
  5. Musaib, A., & Divya, P. V. (2024). Digital soil mapping of residual lateritic soils in Kerala using interpolation methods. In Lecture Notes in Civil Engineering (Vol. 476, pp. 301–312).
  6. Dhanya, K. A., Venkatesh, T. S. D., & Divya, P. V. (2023). Influence of suction on the interface characteristics of unsaturated marginal lateritic soil backfills with composite geosynthetics. International Journal of Geosynthetics and Ground Engineering, 9(6), 73.
  7. Dhanya, K. A., Vibha, S., & Divya, P. V. (2023). Coupled flow-deformation analysis of MSE wall reinforced with hybrid geogrids. International Journal of Geosynthetics and Ground Engineering, 9(4), 45.
  8. Anita, A., Karthika, S., & Divya, P. V. (2023). Construction and demolition waste as valuable resources for geosynthetic-encased stone columns. Journal of Hazardous, Toxic, and Radioactive Waste, 27(2), 04022047.
  9. Dhanya, K. A., Vibha, S., & Divya, P. V. (2023). Performance of lateritic soil slopes at the onset of rainfall infiltration. Indian Geotechnical Journal, 53(1), 107–126.
  10. Musaib, A., & Divya, P. V. (2023). Incorporation of unsaturated soil properties in the prediction of rainfall induced landslides using TRIGRS and Scoops3D models. In Geotechnical Special Publication, 2023-March(GSP 338), 509–520.