Ms. Nairita Sarkar

Nairita Sarkar is a dedicated Assistant Professor in the field of Computer Science and Engineering. She began her teaching career in 2015 and has since developed strong expertise in Artificial Intelligence and Machine Learning.

Her research focuses on multidisciplinary applications of deep learning, particularly in environmental data analytics and air quality prediction.

Her work integrates hybrid optimization algorithms, time-series forecasting, and federated learning to address complex real-world challenges. She has published multiple SCIE and Scopus-indexed research papers in reputable journals and international conferences from publishers such as Elsevier and Springer.

Her teaching interests include Artificial Intelligence, Deep Learning, Probability Theory, and Database Management Systems. She remains passionate about advancing research that benefits sustainable urban development and contributes to the broader domain of data-driven environmental decision-making.

Before joining UPES, Nairita Sarkar accumulated over seven years of teaching experience in Computer Science and Engineering. She began her career as an Assistant Professor at Techno International Newtown in 2014, where she taught core computer science subjects and guided student projects.

Since 2025, she has been serving as an Assistant Professor (Senior Scale) at UPES, actively contributing to teaching, research, and academic mentoring.

Machine Learning | Computer Vision | Deep Learning | Artificial Intelligence | Metaheuristic Optimization | Environmental Data Analytics | Air Quality Prediction

Nairita’s teaching philosophy centres on developing strong conceptual understanding and analytical thinking. She encourages students to relate computer science principles to real-world challenges, particularly in data-driven decision-making.

Through interactive discussions, hands-on projects, and problem-solving sessions, she aims to cultivate curiosity and innovation in the classroom. She believes that an engaging and collaborative learning environment empowers students to become confident learners, critical thinkers, and responsible technology professionals.

Database Management Systems | Data Structures and Algorithms | Operating Systems | Artificial Intelligence | Machine Learning | Deep Learning | Nature Inspired Algorithms

Recognized for academic contributions in teaching, research publications, and interdisciplinary work in Artificial Intelligence and environmental analytics.

Nairita actively engages in scholarly activities spanning research, publication, and academic collaboration. She has authored multiple papers in SCIE and Scopus-indexed journals and regularly presents her work at national and international conferences.

Her research primarily focuses on deep learning, hybrid optimization algorithms, and air quality prediction.

She participates in peer review, attends workshops, and explores multidisciplinary research opportunities. She also guides student research projects, contributes to curriculum enhancement, and collaborates with faculty members to strengthen the academic and research culture within the department.

nairita.sarkar@ddn.upes.ac.in