Professional Profiles:

Early Academic Pursuits :

He embarked on his academic journey with a Bachelor of Technology in Electronics and Communication from Punjab Technical University, Jalandhar, where he demonstrated a strong foundation in engineering principles. He further pursued a Master's in Electronics and Communication Engineering from Sharda University, Delhi, showcasing remarkable aptitude with a notable GPA of 8.2.

Professional Endeavors :

Transitioning into the realm of academia and research, he commenced his career as a Teaching Assistant at Jaypee University of Information Technology, Solan, India. His roles evolved as he engaged as a Researcher focusing on Machine Learning (ML) and Deep Learning (DL) for Forest Fire Detection Systems using Wireless Sensor Networks (WSNs) and Internet of Things (IoT). Subsequently, he took on the position of Assistant Professor at Chitkara University, Rajpura, India, where he excelled in teaching Data Science, Cybersecurity, and Programming Languages.

Contributions and Research Focus in Machine Learning:

He has made substantial contributions in the domains of Machine Learning, Deep Learning, Graph Neural Networks, and Artificial Intelligence. His research interests primarily lie in AI/ML and IoT applications, Computer Vision, Smart Cities, and Sustainable Development. He holds expertise in utilizing tools like Python, MATLAB, TensorFlow, and PyTorch for data analysis, feature engineering, and developing applications in IoT.

Accolades and Recognition :

His dedication and scholarly contributions have resulted in 37 research papers, with 6 accepted in SCI journals and 27 indexed in Scopus. Additionally, he has presented 4 papers at conferences, showcasing his expertise and innovative approaches within the academic community.

Impact and Influence :

Through his various roles as a researcher, educator, and academician, he has influenced both students and peers alike. His research on Forest Fire Detection Systems using WSNs and IoT has practical implications, contributing to the fields of environmental monitoring and disaster management.

Legacy and Future Contributions :

His legacy lies in his multidisciplinary approach towards solving real-world problems through technology. His expertise in ML, DL, IoT, and Computer Vision holds promise for applications in Smart Cities, sustainable development, and advancing AI for societal benefit. His future contributions are anticipated to further bridge the gap between theoretical advancements and practical implementations, fostering innovative solutions in the realm of technology and its societal impact.

Notable Publications :


Amit Sharma | Machine Learning | Best Researcher Award

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