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

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

Sri Balaji University,India

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR 

ORCID

👨‍🎓 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.

Dr Josephin Shermila P | Artificial Intelligence | Best Researcher Award |

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Dr. Josephin Shermila P, Artificial Intelligence, Best Researcher Award.

RMK College of Engineering and Technology, India

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Dr. Josephin Shermila P is an Associate Professor committed to fostering academic excellence and innovation within a renowned institution. With a Ph.D. in Image Protein Prediction from Anna University, Chennai, her educational journey encompasses a strong foundation in Electronics and Communication Engineering

🎓 Education:

Dr. Josephin Shermila P has a diverse educational background, culminating in her expertise in Image Protein Prediction. She obtained her Ph.D. in Image Protein Prediction from Anna University, Chennai, in July 2021, showcasing her commitment to advancing knowledge in this specialized field. Prior to her doctoral studies, Dr. Shermila completed her Bachelor’s degree in Electronics and Communication Engineering from Noorul Islam College of Engineering, Kumaracoil, in April 2005, where she achieved a remarkable 75.2% with Distinction. This solid foundation in engineering laid the groundwork for her future academic pursuits. Dr. Shermila furthered her education by completing a Master’s degree in Computer and Communication Engineering from National Engineering College, Kovilpatti, in June 2007, further enhancing her skills and knowledge in the field. Her educational journey has been marked by a consistent pursuit of excellence, reflecting her dedication to academic and professional growth.

🔍 Research Focus:

Her research focus revolves around Image Protein Prediction, specializing in using linear regression and deep learning techniques to estimate protein from images of health drink powders. This dedication to cutting-edge research has led to impactful contributions in her field.

👩‍💼 Professional Journey:

In her professional journey, Dr. Shermila has accrued 14 years and 24 days of experience in the engineering college sector. Currently serving as an Associate Professor at RMK College of Engineering and Technology since August 11, 2021, she has held significant roles in institutions such as Arunachala College of Engineering for Women, Sathyam College of Engineering, and CAPE Institute of Technology.

🏆 Honors & Awards:

Throughout her career, Dr. Shermila has been recognized for her excellence, earning several honors and awards for her contributions to academia and research. Her commitment to advancing student learning and institutional goals has garnered acclaim within academia and the industry.

Professional Experience: 💼

Dr. Josephin Shermila P has accumulated a wealth of experience in the engineering college sector, totaling 14 years and 24 days. Her professional journey began as a Lecturer at the CAPE Institute of Technology in January 2007, where she taught and mentored students for a brief period. Subsequently, she transitioned to a role as an Assistant Professor at Sathyam College of Engineering in November 2010, where she continued to impart knowledge and contribute to the academic environment until July 2011.

📚 Top Noted Publications :

Smart office automation via faster R-CNN based face recognition and internet of things
Authors: G Rajeshkumar, M Braveen, R Venkatesh, PJ Shermila, BG Prabu, …
Published in Measurement: Sensors 27, 100719 in 2023.

Estimation of protein from the images of health drink powders
Authors: PJ Shermila, A Milton
Published in Journal of Food Science and Technology 57 (5), 1887-1895 in 2020.

Self-diagnosis platform via IOT-based privacy preserving medical data
Authors: G Muneeswari, SS Varun, R Hegde, SS Priya, PJ Shermila, A Prasanth
Published in Measurement: Sensors 25, 100636 in 2023.

Automatic Segmentation of Lung Tumor from X-ray Images using Advance Novel Semantic Approach
Authors: V Rani K, A Jerome S, J Shermila P, LK Shoba, ME Prince
Published in IETE Journal of Research in 2021.

DEEPFIC: food item classification with calorie calculation using dragonfly deep learning network
Authors: PJ Shermila, A Ahilan, M Shunmugathammal, J Marimuthu
Published in Signal, Image and Video Processing, 1-9 in 2023.

Accident detection using Automotive Smart Black-Box based Monitoring system
Authors: BV P. Josephinshermila, S. Sharon priya, K. Malarvizhi, Ramakrishna hegde …
Published in Measurement: Sensors 27 in 2023.

Author Metrics 📊 : 

Author metrics underscore the influence of Dr. Shermila’s work, with her publications receiving substantial citations and recognition within the academic community

📅 Research Timeline:

Her research timeline showcases her progression and contributions, reflecting her growth and expertise over the years.