For the last ten years, Anil has been associated with teaching and research. Prior to joining London Met, he was a post-doctoral research fellow in the area of decision sciences at the Centre for Supply Chain Improvement, University of Derby.

Before joining the University of Derby, he held the positions of Assistant Professor at the School of Management, BML Munjal University in India and Assistant Professor at the Symbiosis Centre for Management Studies, Noida affiliated to Symbiosis International University in India and Assistant Professor at the School of Management, CBS Group of Institutions in India.

Anil earned his PhD in Management Science from ABV-Indian Institute of Information Technology and Management, India. Both his undergraduate and postgraduate degrees are from Kurukshetra University in India, with a BSc (Hons) in Mathematics (Hons) and an MSc in Mathematics. He also has a Master of Business Administration (MBA) and a qualified National Eligibility Test (NET).

Anil's teaching philosophy is based on a 'learning by doing' concept. His areas of teaching cover a range of topics, including:

• problem solving and business insights
• management science
• business analytics using R programming
• operations management
• synthesising and analysing data
• operation research
• business statistics
• research methodology
• business research methods
• quantitative techniques
• supply chain management
• analytics

His courses gain good feedback from students, scoring high for teaching in previous universities. He has done live projects with his students that have been published in many Chartered Association of Business Schools (ABS) and Australian Business Deans Council (ABDC) ranking journals.

Anil has been proactively involved in developing new courses in response to compliance needs and industry demands. He believes his academic-based experience and expertise can provide a valuable contribution to achieving high-quality module feedback from students. Training in artificial intelligence using Python, computer intelligence, machine learning with business applications and text analysis have enhanced Anil's analytical skills.

Working on interdisciplinary research is something that Anil loves, and he's published many articles in this area. His approach to research supervision is to ensure that students develop themselves as well-rounded academics, rather than focusing solely on their theses. Anil actively encourages his students to join professional associations as early in their studies as possible, to go to summer schools and conferences, and to build a network. He has extensive experience supervising undergraduate, postgraduate and executive students and has supervised more than 95 research projects. The outcomes of these projects have been accepted or published in ABS, ABDC and Science Journal Impact Factor (SCI) indexed journals.