Computational Optimization Techniques for Artificial Intelligence Enabled Environments

Shilpa Srivastava is Associate Professor and Chairperson of the committee 'AI Policy recommendations' at Christ University Delhi NCR, Ghaziabad, India. Her areas of interest include application of soft computing in medical domain, theory of computation, algorithms, and e-health services. She has contributed numerous peer-reviewed articles to reputed international journals, authored several book chapters, and presented her research work at various international conferences. She has been curriculum development in-charge, on the board of programme committees of reputed international conferences and acted as a reviewer to review articles in many Springer and IEEE journals.

Nidhi Arora is Professor at Department of Computer Science, University of Delhi, India.  Her primary research areas are social networks, nature inspired computing and machine learning. She has published many peer reviewed research articles in international journals of repute, book chapters, and has also presented many research papers in various international conferences. She has delivered many talks on latest research topics such as data science, e-content development and deep learning to name a few in various FDPs and workshops. 

Millie Pant is Professor in the Department of Applied Mathematics and Scientific Computing (DAMSC), Saharanpur Campus of Indian Institute of Technology (IIT) Roorkee, joint faculty at the Mehta Family School of Data Science and Artificial Intelligence, IIT Roorkee, and adjunct faculty at AIT Thailand, Bangkok. Her expertise is in optimization algorithms, soft computing techniques, image processing, and decision-making processes. She has more than 8000 Google Scholar citations, and her H-index is 44. She has completed 4 bilateral sponsored projects with Germany and Russia, UK and Czech Republic and two national projects sponsored by DST and DRDO. She has conducted several short-term courses sponsored by Deloitte, TSW, DST, and QIP in the areas of optimization, evolutionary algorithms, and artificial intelligence.

Atulya Nagar holds the Foundation Chair as Professor of Mathematics at Liverpool Hope University where he is the Pro-Vice-Chancellor for Research since October 2019. A mathematician by training, he possesses multi-disciplinary expertise in nonlinear mathematics, natural computing, bio-mathematics and computational biology, operations research, and control systems engineering. Professor Nagar has authored over 550 publications, edited volumes on applied mathematics and AI, and co-edits two Springer book series. He serves on editorial boards and has been Sir CV Raman Chair at the University of Madras.

Aprna Tripathi is Associate Professor in the department of data science and engineering, Manipal University Jaipur, India. With over 15 years of teaching and research experience, her scholarly contributions can be found in prestigious national and international journals and conferences, including those recognized by SCI and Scopus. Her areas of specialization include software engineering, software testing, data visualization, and data structures & algorithms.