Dr. Shashi Kant Tiwari | Artificial Intelligence | Best Researcher Award.

Sri Balaji University,India

Professional Profiles:

👨‍🎓 Bio Summary:

Dr. Shashi Kant Tiwari is a Senior Assistant Professor at Balaji Institute of Modern Management, Sri Balaji University, Pune, India. He holds a Ph.D. from the Indian Institute of Technology (Indian School of Mines) Dhanbad, with a research focus on acoustics, environmental noise, artificial intelligence, machine learning, composite materials, and psychoacoustics.

🎓 Education:

Dr. Shashi Kant Tiwari completed his Ph.D. in Acoustics, Environmental Noise, Artificial Intelligence, Machine Learning, Composite Materials, and Psychoacoustics from the Indian Institute of Technology (Indian School of Mines) Dhanbad, India. He also holds an M.Tech. from VIT University, Vellore, and a B.Tech from Lingayas University.

🔍 Research Focus:

Dr. Tiwari’s research focuses on noise assessment, occupational health and safety, machine learning, deep learning, acoustics, vibration, artificial intelligence, and statistical analysis. His work includes projects on environmental noise annoyance prediction, development of e-learning systems, and intelligent IoT-based ambient noise pollution monitoring.

🏆 Honors & Awards:

Dr. Tiwari has been recognized as a GATE Qualified candidate and has received the MHRD Scholarship during his Ph.D. program. He is also a reviewer for journals such as Noise Control Engineering Journal and Environmental Science and Pollution Research.

Professional Experience: 💼

With a wealth of experience in academia and research, Dr. Tiwari currently serves as a Senior Assistant Professor at Balaji Institute of Modern Management, Sri Balaji University, Pune, India. Previously, he held research and teaching assistantships at IIT (ISM) Dhanbad.

📚 Top Noted Publications :

Title: An auto-encoder based LSTM model for prediction of ambient noise levels
Cited By: 15
Year: 2022

Title: Dynamic characteristics of a honeycomb sandwich beam made with jute/epoxy composite skin
Cited By: 14
Year: 2020

Title: 5G NR Voice Call EPS Fallback Enhancements
Cited By: 12
Year: 2021

Title: Comparison of SVM and ARIMA model in time-series forecasting of ambient noise levels
Cited By: 9
Year: 2022

Title: Accuracy of short-term noise monitoring strategy in comparison to long-term noise monitoring strategy
Cited By: 7
Year: 2021

Author Metrics 📊 :

Dr. Tiwari’s research has garnered attention, with several of his papers published in SCI/Scopus indexed journals and cited by his peers. His expertise in noise prediction, deep learning techniques, and environmental acoustics has contributed to the advancement of knowledge in these areas.

📅 Research Timeline:

Dr. Tiwari’s journey in research began during his Ph.D. program at IIT (ISM) Dhanbad, where he investigated long-term and short-term noise monitoring strategies for noise impact assessment in urban and mining environments. Since then, he has continued to explore novel approaches to noise prediction, environmental monitoring, and machine learning applications in acoustics.