Anita Gehlot | Sustainable Development Goals | Women Researcher Award

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 Indiaโ€™s top inventors (2010โ€“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. ๐ŸŒŸ๐Ÿ“š๐Ÿ’ก๐Ÿ”ฌ

Publication Profile :ย 

Scopus

Orcid

Educational Background ๐ŸŽ“

  • 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 ๐Ÿ’ผ

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 ๐Ÿ”ฌ

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

Dr. Anitaโ€™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 ๐Ÿ“š

  • 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, 129โ€“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), 445โ€“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 dispensationโ€”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. 231โ€“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. 238โ€“243).

 

 

Rajesh Singh | Engineering | Best Researcher Award

Prof. Dr. Rajesh Singh | Engineering | Best Researcher Award

Professor at Uttaranchal University, India

Rajesh Singh, Ph.D., is an accomplished academician and researcher with over 20 years of experience in engineering and innovation. He currently serves as the Director of Research & Innovation at Uttaranchal University, as well as the Head of Innovation & Entrepreneurship at Lovely Professional University and Head of the Robotics Research Centre at the University of Petroleum & Energy Studies. Dr. Singh has been instrumental in driving various research and innovation initiatives, with notable accomplishments in the fields of Wireless Sensor Networks, Embedded Systems, Robotics, Artificial Intelligence, Machine Learning, Automation, IoT, and Raspberry Pi.

Publication Profile :ย 

Scopus

Educational Background ๐ŸŽ“

  • Ph.D. in Electronics Engineering from the University of Petroleum and Energy Studies, Dehradun (2016).
  • M.Tech in Electronics & Communication Engineering from Rajiv Gandhi Technical University (2009).
  • B.E. in Electronics & Communication Engineering from Dr. B.R Ambedkar University, Agra (2002).

Professional Experience ๐Ÿ’ผ

Held various positions in academia, including Associate Professor, Assistant Professor, and Director, with a focus on innovation, research, and entrepreneurship across multiple institutions, including Uttaranchal University, Lovely Professional University, and University of Petroleum & Energy Studies.

Research Interests ๐Ÿ”ฌ

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

Awards & Recognition

  • Award of Excellence for Research and Innovation in Science, conferred by the State Minister of Uttarakhand, India
  • Recognized for significant contributions to innovation, technology, and academic excellence both nationally and internationally.

Publications ๐Ÿ“š

  • Title: Lumpy skin disease virus identification using image-based and deep learning approach
  • Authors: Sharma, S., Joshi, K., Singh, R., Sharma, G., Kumar, G.
  • Conference: Computational Methods in Science and Technology – Proceedings of the 4th International Conference on Computational Methods in Science and Technology, ICCMST 2024
  • Year: 2025
  • Volume: 2
  • Pages: 30โ€“35

  • Title: Leveraging wireless technology and IoT in developing a smart judiciary system with smart dust sensors
  • Authors: Vaish, K., Sharma, M., Kathuria, S., Akram, S.V., Malik, P.K.
  • Book: Intelligent Networks: Techniques, and Applications
  • Year: 2024
  • Pages: 129โ€“151

  • Title: Design of an iterative method for disease prediction in finger millet leaves using graph networks, dyna networks, autoencoders, and recurrent neural networks
  • Authors: Tiwari, S., Gehlot, A., Singh, R., Twala, B., Priyadarshi, N.
  • Journal: Results in Engineering
  • Year: 2024
  • Volume: 24
  • Article ID: 103301

  • Title: Vision-based approach for human motion detection and smart appliance control
  • Authors: Swami, S., Singh, R., Gehlot, A., Kumar, D., Shah, S.K.
  • Journal: IAES International Journal of Robotics and Automation
  • Year: 2024
  • Volume: 13(4)
  • Pages: 445โ€“451

  • Title: Various computational methods for highway health monitoring in terms of detection of black ice: a sustainable approach in Indian context
  • Authors: Kumar, V., Singh, R., Gehlot, A., Priyadarshi, N., Twala, B.
  • Journal: Discover Sustainability
  • Year: 2024
  • Volume: 5(1)
  • Article ID: 245

  • Title: The Image Classification Method for Eddy Current Inspection of Titanium Alloy Plate Based on Parallel Sparse Filtering and Deep Forest
  • Authors: Yidan, Z., Zou, H., Li, Z., Singh, R., Abbas, M.
  • Journal: Journal of Nondestructive Evaluation
  • Year: 2024
  • Volume: 43(4)
  • Article ID: 103

  • Title: Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence
  • Authors: Chauhan, A.S., Singh, R., Priyadarshi, N., Suthar, S., Swami, S.
  • Journal: Discover Artificial Intelligence
  • Year: 2024
  • Volume: 4(1)
  • Article ID: 58

  • Title: Integrating industry 4.0 technologies for the administration of courts and justice dispensationโ€”a systematic review
  • Authors: Bhatt, H., Bahuguna, R., Swami, S., Priyadarshi, N., Twala, B.
  • Journal: Humanities and Social Sciences Communications
  • Year: 2024
  • Volume: 11(1)
  • Article ID: 1076

  • Title: Use of IoT sensor devices for efficient management of healthcare systems: a review
  • Authors: Gopichand, G., Sarath, T., Dumka, A., Priyadarshi, N., Twala, B.
  • Journal: Discover Internet of Things
  • Year: 2024
  • Volume: 4(1)
  • Article ID: 8

  • Title: Detailed-based dictionary learning for low-light image enhancement using camera response model for industrial applications
  • Authors: Goyal, B., Dogra, A., Jalamneh, A., Singh, R., Jyoti Saikia, M.
  • Journal: Scientific Reports
  • Year: 2024
  • Volume: 14(1)
  • Article ID: 17122

 

 

 

Yi Gou | Medicinal Chemistry | Best Researcher Award

Mr. Yi Gou | Medicinal Chemistry | Best Researcher Award

Associate Researcher at Guilin Medical University, China

Yi Gou is a distinguished researcher in anticancer drug chemistry with a strong academic background and a track record of innovation. He has authored over 40 SCI papers, with a significant number of first-author publications. His groundbreaking research has led to multiple patents and contributions to international scientific literature. Yi has also served as a guest editor for renowned journals such as Frontiers in Pharmacology and Drug Development Research. His expertise and research are recognized globally, contributing to advancements in cancer therapy.

Publication Profile :ย 

Scopus

Educational Background ๐ŸŽ“

Yi Gou earned a Ph.D. in Inorganic Chemistry in 2016. During his doctoral research, he specialized in the field of anticancer drug chemistry, laying the foundation for his subsequent work. His extensive education and training have provided him with a solid understanding of both inorganic chemistry and medicinal chemistry, particularly in designing and synthesizing anticancer small molecule agents. This expertise has guided his research in the development of novel drug candidates, and his academic achievements include numerous publications in high-impact journals.

Professional Experience ๐Ÿ’ผ

Yi Gou is currently serving as an Associate Researcher at Guilin Medical University, where he continues his pioneering research on anticancer drug chemistry. His professional career includes both independent research projects and collaborative work, notably contributing to the National Natural Science Foundation of China (NSFC) projects. He has led one completed NSFC project (Project No. 22007023) and is actively conducting another (Project No. 22267004). In addition to his research, Yi Gou has also been recognized for his editorial contributions, serving as a guest editor for journals such as Frontiers in Pharmacology and Drug Development Research. Over the years, his work has resulted in numerous publications, patents, and positive evaluations in the international research community.

Research Interests ๐Ÿ”ฌ

Yiโ€™s primary research focus is on the design and synthesis of small molecule anticancer agents, particularly those involving metal-based complexes. His work merges the fields of inorganic chemistry and medicinal chemistry, with a focus on developing novel therapeutics to combat cancer. Yi has received significant funding for his research, completing one National Natural Science Foundation of China project (Project No. 22007023) and currently leading another (Project No. 22267004). His work has led to eight Chinese invention patents and multiple collaborations, including research on metal-antitumor complexes based on traditional Chinese medicine components.

Key Achievements

๐Ÿ”ฌ Over 40 published SCI papers, with an h-index of 24
๐Ÿ“œ 8 Chinese invention patents granted, 6 in the process of application
๐Ÿ”— Collaborations with leading researchers and national projects
๐ŸŒ Recognized as a guest editor for prominent journals
๐ŸŽ“ Member of the Chinese Chemical Society

Publications ๐Ÿ“š

  • Li, A., Pan, W., Zhang, Z., Zhang, Y., & Ma, L. (2025). Hydrazone copper(II) complexes suppressed lung adenocarcinoma by activating multiple anticancer pathways. Bioorganic Chemistry, 154, 107994.

  • Li, A., Huang, K., Pan, W., Ma, L., & Gou, Y. (2024). Thiosemicarbazone mixed-valence Cu(I/II) complex against lung adenocarcinoma cells through multiple pathways involving cuproptosis. Journal of Medicinal Chemistry, 67(11), 9091โ€“9103.

  • Wu, Y., Wu, D., Lan, J., Xu, Y., & Gou, Y. (2024). Assessment of mononuclear/dinuclear copper acylhydrazone complexes for lung cancer treatment. Bioorganic Chemistry, 144, 107122.


  • Deng, J., Wu, Y., Li, A., Yang, F., & Gou, Y. (2023). Dithiocarbazate-Zn(II) complexes for photodynamic therapy and chemotherapy against lung cancer. Inorganic Chemistry Frontiers, 10(22), 6526โ€“6536.


  • Wu, Y., Hou, L., Lan, J., Liu, W., & Gou, Y. (2023). Mixed-ligand copper(II) hydrazone complexes: Synthesis, structure, and anti-lung cancer properties. Journal of Molecular Structure, 1279, 134986.

  • Gou, Y., Liu, L., & Liang, H. (2022). Editorial: The developments of metal-based agents against lung cancer. Frontiers in Pharmacology, 13, 1101890.

  • Chen, M., Chen, X., Huang, G., Gou, Y., & Deng, J. (2022). Synthesis, anti-tumour activity, and mechanism of benzoyl hydrazine Schiff base-copper complexes. Journal of Molecular Structure, 1268, 133730.

  • Deng, J., Peng, C., Hou, L., Huang, G., & Gou, Y. (2022). Dithiocarbazate-copper complex loaded thermosensitive hydrogel for lung cancer therapy via tumor in situ sustained-release. Inorganic Chemistry Frontiers, 9(23), 6190โ€“6201.

  • Guo, J., Li, A., Guo, R., Jin, J., & Huang, G. (2022). C1orf74 positively regulates the EGFR/AKT/mTORC1 signaling in lung adenocarcinoma cells. PeerJ, 10, e13908.

  • Gou, Y., Jia, X., Hou, L. X., Jiang, H. W., & Yang, F. (2022). Dithiocarbazate-Fe(III), -Co(III), -Ni(II), and -Zn(II) complexes: Design, synthesis, structure, and anticancer evaluation. Journal of Medicinal Chemistry, 65(9), 6677โ€“6689.