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).

 

 

Chang-Fei Yu | Environmental Science | Best Researcher Award

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Dr. Chang-Fei Yu | Environmental Science | Best Researcher Award

Doctor at Anhui University of Science and Technology, China

Yu Chang-Fei is a dedicated researcher focused on developing and analyzing dust-reducing and explosion-suppressing agents for coal mine dust. His work integrates experimental techniques with theoretical analysis to explore solutions for improving safety and reducing hazards in coal mines. He has achieved remarkable academic success and recognition, including winning the National Scholarship for Doctoral Students and receiving multiple honors for his outstanding research contributions.

Publication Profile : 

Scopus

Orcid

Google Scholar

 

🎓 Educational Background :

Ph.D. in Chemical Engineering (Expected Graduation: [Year])
Anhui University of Science and Technology, [Location]
Research focus: Development and mechanism analysis of dust reducing and explosion suppressing agents for coal mine dust.

M.Sc. in Chemical Engineering
Anhui University of Science and Technology, [Location]
Thesis: [Your Thesis Title, if applicable]
Graduated: [Year]

B.Sc. in Chemical Engineering
[Undergraduate University Name], [Location]
Graduated: [Year]

💼 Professional Experience :

Yu Chang-Fei is currently a doctoral candidate, where his research focuses on coal mine safety, particularly dust reduction and explosion suppression. His work blends practical experimental methods with cutting-edge theoretical analysis to develop innovative agents that improve coal mine safety. Through his extensive research and multiple academic achievements, Yu has shown deep expertise in the areas of coal pyrolysis, chemical safety, and industrial hazard prevention.

📚 Research Interests : 

Yu’s primary research interests lie in the development and mechanism analysis of agents designed to reduce dust and suppress explosions in coal mines. He investigates the oxidative pyrolysis characteristics of bituminous coal and the thermal decomposition of chemical agents through advanced experimental methods and computational simulations, such as density functional theory. His work aims to mitigate the risks associated with coal mining by enhancing safety measures and developing effective, sustainable agents.

📝 Publication Top Notes :

  1. Shi, S., Wang, X.-H., Jiang, B., Yu, C.-F., & Ji, B. (2024). Preparation of consolidated dust suppression materials based on pectin: Graft modification experiment and reaction mechanism. ACS Omega, 9(43), 43534–43546.
  2. Liu, S.-H., Wu, K.-F., Xu, R.-J., Yu, C.-F., & Wang, Y. (2024). Studies on the thermal stability and exothermic behaviour of imidazolium-based ionic liquid binary mixture. Journal of Thermal Analysis and Calorimetry, 149(18), 10353–10361.
  3. Zhou, Y., Jiang, B., Yu, C.-F., Yu, H., & Wang, J. (2024). Study on the effect of hydrogen bonding network structure in amphoteric surfactant solution on the wettability of coal dust. Journal of Molecular Liquids, 408, 125305.
  4. Wang, S., Shi, S., Jiang, B., Zhang, Y., & Wang, X.-H. (2024). Influence of surfactant adsorption on coal oxidation and wettability: Experimental discussion and model development. Energy, 297, 131304.
  5. Jiang, B., Li, J.-J., Su, M., Yao, Q., & Ding, D. (2024). Study on flame properties and molecular dynamics of MAP suppression for polyethylene dust explosion. Fuel, 366, 131347.
  6. Jiang, B., Zhang, Y., Zheng, Y., Zhou, Y., & Wang, Y. (2024). Effect of acid-thermal coupling on the chemical structure and wettability of coal: An experimental study. Energy, 294, 130943.
  7. Jiang, B., Ding, D., Su, M., Ji, B., & Hong, H. (2024). Experimental study on the explosion suppression characteristics of polyethylene dust by ammonium polyphosphate. Powder Technology, 437, 119491.
  8. Tao, W., Jiang, B., Zheng, Y., Yu, C.-F., & Wang, X.-H. (2024). Molecular dynamics study on the effect of inorganic salts on the wettability of surfactants on bituminous coal: Sodium dodecyl sulfate and sodium chloride as representatives. Fuel, 359, 130397.
  9. Tao, W., Jiang, B., Zheng, Y., Sun, B., & Wang, J. (2024). Effect of alkyl glycoside surfactant on the explosion characteristics of bituminous coal: Experimental and theoretical discussion. Energy, 288, 129930.
  10. Shi, S., Yu, C.-F., & Wang, S. (2024). Unveiling mechanism of coal miners’ dust prevention behaviour under force field. Iranian Journal of Science (in press).