Dr. Anoop Mishra – Autonomous Robot Navigation – Best Researcher Award

Dr. Anoop Mishra - Autonomous Robot Navigation - Best Researcher Award

India Meteorological Department - India

Author Profile

SCOPUS

ORCID

Summary

Dr. Anoop Kumar Mishra, an accomplished Indian physicist and scientist, currently serves at the India Meteorological Department under the Ministry of Earth Sciences. With academic roots in physics from the University of Allahabad and a Ph.D. from Gujrat University via ISRO's Space Application Centre, his research primarily focuses on satellite-based rainfall estimation over Indian tropics. His work bridges physics, atmospheric science, and power electronics, contributing significantly to India's satellite meteorology capabilities. Since 2021, he has been actively involved in real-time weather forecasting and data interpretation, making impactful strides in climate resilience and disaster preparedness.

Early academic pursuits

Dr. Anoop Kumar Mishra began his academic journey with a keen interest in the physical sciences. He earned his Bachelor of Science (BSc) in Physics, Chemistry, and Mathematics from the University of Allahabad in 2002. Continuing at the same university, he completed his Master of Science (MSc) in Physics in 2004. His solid foundation in core sciences laid the Autonomous Robot Navigation groundwork for advanced research, especially in atmospheric and satellite-based measurements, which would later become his area of specialization. During his formative years, his growing fascination with meteorological instrumentation and technologies such as power electronics influenced his career trajectory.

Professional endeavors

Dr. Mishra has been serving as a Scientist at the India Meteorological Department (IMD), under the Ministry of Earth Sciences, since March 2021. He is stationed at Mausam Bhawan, Lodi Road, New Delhi, where he is engaged in critical meteorological research and forecasting operations. His current role involves using satellite-based data for weather prediction, analysis, Autonomous Robot Navigation and national-level reporting. His position aligns with India’s strategic interests in climate monitoring, satellite meteorology, and disaster warning systems, often enhanced by innovations in power electronics-enabled sensing technologies.

Contributions and research focus

Dr. Mishra’s doctoral research at the Space Application Centre (SAC), ISRO, under Gujrat University, concentrated on the estimation of rainfall using satellite infrared and microwave data over the Indian tropics. His Ph.D. thesis, titled "Estimation of rainfall from Satellite Infrared and Microwave measurements over Indian tropics," remains significant in satellite meteorology. Guided by Dr. Vijay Kumar Agarwal, he employed advanced Autonomous Robot Navigation physics-based models to enhance rainfall prediction accuracy. His research intersected data science, meteorology, and power electronics, forming the backbone of automated satellite signal processing systems.

Impact and influence

Dr. Mishra’s work plays a key role in improving the reliability and resolution of rainfall forecasting models. His studies have contributed to enhanced understanding of the Indian monsoon system and real-time satellite data interpretation. As climate variability becomes more intense, his contributions help mitigate disaster risk, especially in flood-prone and drought-sensitive regions. His cross-disciplinary approach—blending meteorology, Autonomous Robot Navigation physics, and power electronics—has opened new avenues for integrating satellite data into predictive frameworks used by national and regional weather services.

Academic cites

Dr. Mishra’s research has been cited in journals focused on satellite meteorology, climate modeling, and atmospheric physics. His contributions to data assimilation techniques and cloud-top temperature analysis using infrared channels are referenced by peers working on monsoon dynamics, seasonal forecasting, and hydrological modeling. While his work is rooted in academic rigor, it also finds applications in Autonomous Robot Navigation policy development and practical field deployment of meteorological tools across India.

Legacy and future contributions

Dr. Anoop Kumar Mishra’s legacy lies in strengthening India’s satellite-based weather prediction infrastructure. Looking ahead, he aims to further explore the integration of machine learning with remote sensing data for enhanced climate forecasting. He is also expected to contribute to training initiatives for upcoming scientists in the field of meteorology and climate science. His continuing efforts at Autonomous Robot Navigation IMD will support India’s commitment to building climate resilience, especially by leveraging smart sensors, AI models, and advanced signal processing techniques grounded in physics and power electronics.

Notable Publications

  1. Title: Satellite-based assessment of extreme rainfall during the 2019 Indian monsoon: climatic linkages to IOD and ENSO
    Journal: Modeling Earth Systems and Environment
    Year: 2025
  2. Title: Correction to: Performance Evaluation of INSAT-3D Derived Outgoing Long Wave Radiation Over India Using Remotely Sensed Observations
    Journal: Journal of the Indian Society of Remote Sensing
  3. Title: Thunderstorm prediction over Eastern state of India during pre-monsoon season in 2018 using artificial neural network model
    Journal: Theoretical and Applied Climatology
    Year: 2025
  4. Title: Long-term variability of the low-level clouds across Indo-Gangetic Plain
    Journal: Dynamics of Atmospheres and Oceans
    Year: 2025
  5. Title: Evolution of Aviation Meteorological services in India
    Journal: Mausam
    Year: 2025

Conclusion

Dr. Mishra’s academic rigor and professional contributions have positioned him as a vital figure in the advancement of satellite meteorology in India. His interdisciplinary approach, integrating remote sensing, physics, and power electronics, enhances weather prediction accuracy and national preparedness. With continued focus on technological innovation and climate research, Dr. Mishra is poised to influence future developments in atmospheric science and inspire a new generation of researchers committed to solving real-world environmental challenges.

Dr. Lanxiang Zheng – Mobile Robotics Systems – Best Researcher Award

Dr. Lanxiang Zheng - Mobile Robotics Systems - Best Researcher Award

China United Network Communications Co., Ltd. Guangdong Branch - China

Author Profile

ORCID

Summary

Lanxiang Zheng is an accomplished ai technology director with a strong academic foundation rooted in computer science and robotics. after earning his ph.d. from sun yat-sen university, he dedicated his career to advancing research in distributed control, uav swarm planning, and multi-robot exploration. professionally, he leads innovations at china united network communications co., ltd. guangdong branch, applying theoretical research to real-world ai systems. his work uniquely combines intelligent robotics with power electronics, enhancing system efficiency and control. he is a recognized reviewer for major robotics journals and conferences, contributing significantly to the academic community.

Early academic pursuits

Lanxiang Zheng began his academic journey with a strong focus on computer science, eventually earning a ph.d. from sun yat-sen university. during his formative years, he developed deep expertise in distributed systems and intelligent control algorithms. his academic foundation laid the groundwork for his later contributions in the fields of multi-robot exploration and Mobile Robotics Systems uav swarm planning. even during this phase, he explored the interplay between artificial intelligence and power electronics, particularly in intelligent embedded systems for robotics.

Professional endeavors

After completing his doctorate, zheng took on the role of ai technology director at china united network communications co., ltd., guangdong branch. in this capacity, he leads several r&d initiatives focusing on real-time applications of ai in industrial and telecommunications settings. his work bridges theory and practice, bringing cutting-edge robotics research into Mobile Robotics Systems practical implementations. one of his key areas involves integrating power electronics with swarm robotics to enhance energy efficiency and operational control in field-deployed systems.

Contributions and research focus

Lanxiang Zheng’s primary research areas include distributed control, uav swarm planning, and embodied intelligence. his work in multi-robot exploration has advanced the autonomous capabilities of mobile robots in complex environments. he is particularly known for pioneering adaptive swarm algorithms that incorporate distributed intelligence, which are instrumental in Mobile Robotics Systems scalable robotic deployments. his research also investigates the convergence of intelligent control strategies with power electronics, enhancing the synergy between hardware control and machine learning models.

Impact and influence

As a recognized reviewer for prestigious journals and conferences such as ra-l, icar, and iros, zheng has played an important role in maintaining the quality and innovation within the ai and robotics research community. his evaluation work supports groundbreaking studies and Mobile Robotics Systems reinforces academic standards globally. he is frequently consulted on topics related to ai integration in industrial robotics and autonomous systems, often emphasizing the importance of efficient power electronics in ensuring real-world scalability.

Academic cites

Lanxiang Zheng’s scholarly work has been widely cited across robotics and ai research. his publications contribute to foundational knowledge in uav autonomy, swarm coordination, and intelligent control systems. his citations reflect the academic community’s recognition of his theoretical advancements and practical methodologies. his research articles are frequently referenced in Mobile Robotics Systems studies exploring the control mechanics of collaborative robotics and the embedded system design for energy-efficient robotics.

Legacy and future contributions

Zheng’s interdisciplinary approach and visionary leadership have made a lasting mark in the robotics sector. he aims to continue driving innovation at the intersection of artificial intelligence, robotics, and Mobile Robotics Systems communications infrastructure. his future projects focus on large-scale deployment of intelligent agents, supported by advanced power electronics, to tackle real-world challenges such as disaster response, environmental monitoring, and smart city automation. his legacy lies in building intelligent, collaborative systems that push the boundaries of what robots can achieve autonomously.

Notable Publications

  1. Title: AAGE: Air-Assisted Ground Robotic Autonomous Exploration in Large-Scale Unknown Environments
    Authors: Lanxiang Zheng, Mingxin Wei, Ruidong Mei, Kai Xu, Junlong Huang, Hui Cheng
    Journal: IEEE Transactions on Robotics
    Year: 2025
  2. Title: Meta-Learning Enhanced Model Predictive Contouring Control for Agile and Precise Quadrotor Flight
    Authors: Mingxin Wei, Lanxiang Zheng, Ying Wu, Ruidong Mei, Hui Cheng
    Journal: IEEE Transactions on Robotics
    Year: 2025
  3. Title: Bio-Inspired Decentralized Model Predictive Flocking Control for UAV Swarm Trajectory Tracking
    Authors: Lanxiang Zheng, Ruidong Mei, Mingxin Wei, Zhijun Zhao, Bingzhi Zou
    Journal: Journal of Bionic Engineering
    Date: 2025-06-23
  4. Title: Real-Time Efficient Environment Compression and Sharing for Multi-Robot Cooperative Systems
    Authors: Lanxiang Zheng, Kai Xu, Jinqi Jiang, Mingxin Wei, Boyu Zhou, Hui Cheng
    Journal: IEEE Transactions on Intelligent Vehicles
    Year: 2024
  5. Title: Safe Learning-Based Control for Multiple UAVs Under Uncertain Disturbances
    Authors: Mingxin Wei, Lanxiang Zheng, Ying Wu, Han Liu, Hui Cheng
    Journal: IEEE Transactions on Automation Science and Engineering
    Year: 2024

Conclusion

Through a blend of academic rigor and professional application, Lanxiang Zheng has become a key figure in ai-driven robotics. his research not only deepens understanding of swarm intelligence and autonomous systems but also paves the way for practical deployment powered by advanced power electronics. his continued efforts promise to influence the future of intelligent machines, making them more efficient, scalable, and impactful across industries.