Conferences, Seminars, Invited Lectures

Complete list of presentations is available in CV

Academic Leadership & Event Organization

Conference Convener: Organized multiple international conferences and seminars, notably including joint events with Bond University (Australia) and AUSAID / Victoria University.

 Session Chair: Chaired keynote addresses and specialized sessions (e.g., Time Series, Linear Models, Econometrics) at 15+ major academic gatherings, including the Annual Conventions of ISPS, EcoSta (Hong Kong), ICSTC, and the Forum for Interdisciplinary Mathematics (FIM).

International Invited Talks & Presentations

Global Reach: Delivered over 20 invited lectures and paper presentations at prestigious institutions and congresses across Europe, Asia, the Middle East, and Australia.

Key Academic Institutions: Ludwig-Maximilians-Universität München (Germany), Chinese Academy of Sciences (Beijing), University of Amsterdam (Netherlands), HKUST (Hong Kong), UAE University, and premier Australian universities (Wollongong, New South Wales, Latrobe, Monash, Bond, and Griffiths).

 Major Conferences: Presented at the World Congress of the Econometric Society (MIT, USA; Virtual 2020) and the European Meeting of the Econometric Society (Oslo, Norway).

National Invited Lectures & Presentations (India)

Widespread Engagement: Delivered nearly 50 plenary, keynote, and invited lectures at top-tier Indian universities and research institutes.

Key Venues: IIT Kanpur, Delhi University, Panjab University, Banaras Hindu University (BHU), Indian Statistical Institute (ISI), SV University, and various regional academies.

Workshops & Training: Frequently invited to conduct capacity-building workshops on advanced econometric techniques, data mining, statistical software (R, SPSS), and scientific research writing for engineers, social scientists, and government auditors.

Core Presentation Themes

Econometrics & Statistics: Mean field variational Bayes, robust dynamic space-time panel data models, spatial ARMA models, and Bayesian unit root testing.

Applied Data Science: Control charts for autocorrelated observations, machine learning algorithms, and dimension reduction tools applied to bioinformatics and forestry data.