Posted on 22/10/202422/10/2024 by ScienceFather Arush Kaushal | Machine Learning | Young Scientist Award Mr. Arush Kaushal , Jaypee University of Information Technology, Solan, India. Arush Kaushal is a dedicated Assistant Professor at OPIT (Open Institute of Technology), specializing in Data Science and Machine Learning. With a robust academic background, including a Ph.D. in Computer Science, he has extensive teaching experience at various institutions, including Jaypee University and Chandigarh University. Arush is passionate about leveraging technology for societal impact, as demonstrated by his research in landslide prediction and earthquake detection using machine learning techniques. His commitment to education and innovation is reflected in his roles as a coding tutor and research intern. Publication profile Scopus Education Ph.D. (CSE) Jaypee University of Information Technology, Solan, HP (08/2021 – Present) M.Tech (CSE) Jaypee University of Information Technology, Solan, HP (07/2019 – 06/2021) B.Tech (CSE) Jaypee University of Information Technology, Solan, HP (07/2015 – 05/2019) Experience Assistant Professor OPIT (Open Institute of Technology) (08/2024 – Present) Coding Tutor Tutorpedia (05/2024 – 08/2024) Teaching Assistant Jaypee University of Information Technology (03/2023 – Present) Assistant Professor Chandigarh University (01/2022 – 10/2022) Software Engineer NSDF (National Skill Development Forum) (08/2021 – 01/2022) Research Intern Jaypee University of Information Technology (07/2020 – 07/2021) Suitability For The Award Arush Kaushal is a dedicated researcher and educator in the field of Computer Science and Engineering, with significant contributions to Machine Learning and Artificial Intelligence. His academic journey, combined with practical experience and research achievements, positions him as a strong candidate for the Young Scientists Award. Professional Development () Arush Kaushal is actively engaged in professional development, focusing on enhancing his skills in Machine Learning, Data Science, and Computer Vision. He has taught various courses, including Python and Artificial Intelligence, while also developing innovative solutions for real-time landslide prediction and earthquake detection. His dedication to teaching and research is reflected in his active participation in academic conferences, where he has published papers on landslide susceptibility detection. Arush is committed to fostering collaboration and knowledge-sharing in the field, continually striving for excellence in both education and research. Research Focus Arush Kaushal’s research focuses primarily on applying Machine Learning and Deep Learning techniques to environmental challenges, particularly in landslide prediction and earthquake detection. His innovative projects aim to enhance early warning systems using advanced data analytics and sensor networks, showcasing the potential of technology in mitigating natural disasters. By exploring classifiers in conjunction with object detectors, Arush contributes to the growing field of intelligent systems, aiming for societal benefits through his findings. His work highlights the intersection of technology and environmental safety, striving to make a meaningful impact on communities vulnerable to natural hazards. Awards and Honors () IEEE Conference Landslide Susceptibility Detection Using ResNet IEEE Conference Threshold Based Real-Time Landslide Prediction System Using Low-Cost Sensor Networks Publications Exploiting the synergy of SARIMA and XGBoost for spatiotemporal earthquake time series forecasting Cited by: 0 | Published in: 2024 Threshold Based Real-Time Landslide Prediction System Using Low-Cost Sensor Networks Cited by: 0 | Published in: 2023 Landslide Susceptibility Detection Using ResNet Cited by: 1 | Published in: 2023 Arush Kaushal | Machine Learning | Young Scientist Award