Mr. Nishant Yadav : Leading Researcher in Computer Vision

Mr. Nishant Yadav, Northeastern University, United States

🎓 Mr. Nishant Yadav academic journey culminated in a Ph.D. in Interdisciplinary Engineering (Machine Learning) from Northeastern University in Boston, MA, marked by a stellar GPA of 3.9. Her technical acumen encompasses a versatile skill set, including proficiency in Python, MATLAB, R, and C++, as well as expertise in machine learning frameworks such as PyTorch, ONNX, TensorFlow, and Keras. Her adept at utilizing developer tools such as Unix, BASH, Git, SQL, Microsoft Azure, High-Performance Computing (HPC), and Docker.

Professional Profiles : 🌐

Scopus

Google Scholar

🎓 Education : 

🎓 Achieving academic excellence, he earned her PhD in Interdisciplinary Engineering (Machine Learning) from Northeastern University in Boston, MA, with a stellar GPA of 3.9 in July 2022. Prior to this, He obtained her MS in Intelligent Systems from the University of Michigan in Ann Arbor, MI, showcasing her commitment to advancing knowledge and expertise in cutting-edge technologies with a GPA of 3.4 in 2014. 🚀 her educational journey has been marked by a passion for interdisciplinary exploration and a dedication to pushing the boundaries of innovation. 🌟

🧠 Research Interests 🔬🌐 :

🏥 Computer Vision

🔬 Deep Learning

🌍 Remote Sensing

🏆 Awards :

🌟 Honored to be a recipient of the LEADERs Fellowship in January 2022, awarded by Hitachi AI Labs. This $35,000 fellowship recognizes my leadership in steering a joint Ph.D. research project, emphasizing the value of innovation and collaboration in my academic pursuits.

🚀 September 2020 marked a milestone as her secured the National Science Foundation (NSF) Graduate Research Funding, a $55,000 grant supporting my role as a leader in a six-month research project at NASA Ames Research Center. This funding symbolizes my dedication to advancing scientific exploration.

🏆 Grateful for the distinction of receiving the Best Student Paper Award at the Fragile Earth Workshop during the SIGKDD’20 Conference in San Diego, CA, in August 2020. This accolade reflects the excellence of my research and its impact in the dynamic field of data science.

🌐 Additionally, in May 2013, Her was privileged to be awarded the ETH Zurich Visiting Graduate Research Fellowship. This $8,000 fellowship allowed me to engage in valuable research at ETH Zurich, further enriching my academic journey. 🎓🌐

These awards collectively represent my commitment to leadership, innovation, and excellence in research, as well as my dedication to contributing meaningfully to the academic community. 🏅🔬

📚 Publication Impact and Citations : 

Scopus Metrics:

• 📝 Publications: 15 documents indexed in Scopus.
• 📊 Citations: A total of 95 citations for his publications, reflecting the widespread impact and recognition of Mr. Nishant Yadav’s research within the academic community.

Google Scholar Metrics:

• All Time:
  • Citations: 71 📖
  • h-index: 4 📊
  • i10-index: 1 🔍
• Since 2018:
  • Citations: 64 📖
  • h-index: 4 📊
  • i10-index: 1 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications ( Top Note ) :

1.  Resilience of urban transport network-of-networks under intense flood hazards exacerbated by targeted attacks

Published Year: 2020, Journal: Scientific Reports, Cited By: 47

2.  Identification and damage detection of a shear frame model based on a blind source separation method

Published Year: 2014, Journal: EWSHM-7th European Workshop on Structural Health Monitoring, Cited By: 8

3.  What You See Is What You Breathe? Estimating Air Pollution Spatial Variation Using Street-Level Imagery

Published Year: 2022, Journal: Remote Sensing, Cited By: 5

4.  A deep learning approach to short-term quantitative precipitation forecasting

Published Year: 2020, Journal: Proceedings of the 10th International Conference on Climate Informatics, Cited By: 5

5.  Machine learning for robust identification of complex nonlinear dynamical systems: applications to earth systems modeling

Published Year: 2020, Journal: arXiv preprint, Cited By: 4

6.  CDA: Contrastive-adversarial Domain Adaptation

Published Year: 2023, Journal: arXiv preprint, Cited By: 1

7.  DeepAQ: Unsupervised Domain Adaptation for Air-Quality Mapping Using High-Resolution Satellite Imagery

Published Year: 2023 (preprint), Journal: OSF Preprints, Cited By: 1