Dr. Shweta Bansal is an accomplished academician, researcher, and technologist with over 20 years of teaching experience and 14 years of research expertise in Artificial Intelligence, Machine Learning, Speech Signal Processing, and Natural Language Processing. She is currently serving as an Associate Professor, School Coordinator of the school of engineering and technology and chairperson of the centre of excellence - Artificial Intelligence.

She has played a pivotal role in academic leadership and curriculum development, establishing the Centre of Excellence in Artificial Intelligence at KR Mangalam University. Additionally, she has been instrumental in accreditation processes, serving as the NAAC School Coordinator and a core member of the NAAC Criteria Committees.

Significant Achievements

• Academic & Research Excellence:
  • Guided Ph.D, B.Tech and M.Tech students in research and project development.
  • Published 13 research papers in international journals and 24 papers in national and international conferences.
  • Authored 5 book chapters and contributed to 5 textbooks/edited books.
  • Recognized for excellence in teaching with the Best Faculty Award (2012-2013) by KIIT College of Engineering.
  • Received the Academic Leadership Award at KR Mangalam University in 2024
• Innovation & Patents:
  • National Patent (India): AI & ML-based autonomous e-waste management system (Patent No.: 202241012594, Published: 18 March 2022).
  • German Patent: Intelligent Assistance System "Apdasetu" for improving quality-of-service in decision-making (Patent No.: 202022102589, Published: 26 July 2022).
  • National Patent (India): System for Disaster Management (Patent No.: 202211074396 A, Published: 30 Dec 2022).
• Global Recognition & Research Leadership:
  • Reviewer for the Springer Journal “Language Resources and Evaluation”.
  • Principal Investigator (PI) and Co-PI for six national and international projects funded by DRDO, DST, and other government agencies.
  • Presented research at an international conference in Shanghai.

Notable Contributions

• Academic & Institutional Development:
  • Successfully introduced AI, Machine Learning, and Data Science courses, aligning with industry trends.
  • Designed and managed curricula, ensuring compliance with regulatory guidelines.
  • Developed and managed the School of Engineering and Technology, overseeing faculty recruitment, infrastructure, and strategic initiatives.
• Research & Innovation in Speech and AI:
  • Developed a Spoken Language Identification System for Hindi, Manipuri, and Urdu.
  • Engaged in speech signal processing research at national and international levels.
  • Attended specialized workshops and training programs on Automatic Speech Recognition (ASR) and Pronunciation Lexicon Standards for Indic Languages.
• Leadership in International Conferences:
  • Active Technical & Organizing Committee Member for IEEE-sponsored OCOCOSDA 2013 and SLTU 2018, funded by Google and supported by UNESCO.

Eligibility for Outstanding Academician Award

Dr. Shweta Bansal’s exceptional contributions to technical education, research, innovation, and academic leadership make her a deserving recipient of the Outstanding Academician Award in Scientific Laurels. Her impact on AI, Machine Learning, and Speech Processing has significantly influenced both academia and industry.