Invited Session on "Pharmaceutical Pollution in the Environment".

American Public Health Association (APHA) 2022 Annual Meeting

November 6, 2022, Westin Hotel, Boston, MA

This session aims to discuss the consequences of Pharmaceutical pollutants in the environment in the context of human and environmental outcomes. Pathways for safe medication disposal and initiatives in environmental stewardship will be examined through the lens of policy and equity.

Mathematical and Statistical Explorations in Disease Modelling and Public Health (DMPH 2019)

July 1–11, 2019, Madhava Lecture Hall, International Centre for Theoretical Statistics, Bengaluru, India.

The aim of the program is to explore different mathematical, statistical and computational approaches to integrate experimental and clinical data, and to discuss how mathematical modeling can help to interpret and integrate experimental data, frame and test hypotheses, and suggest novel experiments allowing for more conclusive and quantitative interpretations of biological, immunological and disease-related processes.

International Symposium on Health Analytics and Disease Modeling (HADM 2018)

March 8-9, 2018, National Academy of Medical Sciences (NAMS), New Delhi, India.

HADM 2018 was co-organized by Public Health Dynamics Laboratory (PHDL) of University of Pittsburgh, USA; Health Analytics Network, Pittsburgh, USA; National Institute of Medical Statistics of Indian Council of Medical Research (ICMR-NIMS), New Delhi; and SHARE India, Hyderabad. The 2-day international symposium brought together experts, practitioners, scholars and researchers from various disciplines including computer science, applied mathematics and statistics, public health, biostatistics, epidemiology, health policy research and more to discuss opportunities and challenges in health analytics and disease modeling.

Public Health Dynamics (PHD 2018) workshop

March 5-7, 2018, Indian Council of Medical Research (ICMR) headquarters, New Delhi, India.

PHD 2018 was co-sponsored and hosted by Public Health Dynamics Laboratory (PHDL) of Graduate School of Public Health, University of Pittsburgh; Health Analytics Network, and National Institute of Medical Statistics (NIMS) – ICMR. PHD 2018 2018 was funded partially by a U.S. National Institute of Health – Fogarty International Center award.

International Symposium on Health Analytics and Disease Modelling (HADM 2016)

HADM 2016 was co-sponsored and hosted by Public Health Dynamics Laboratory (PHDL) of Graduate School of Public Health, University of Pittsburgh; Health Analytics Network, Indian Institute of Public Health, and Share India.

International Workshop on Clinical Data Analytics (WCDA 2016)

December 23, 2016, Indian Institute of Public Health, Hyderabad, India

Clinical data analytics is increasingly used to generate novel information about existing and emerging treatments or other areas that are of interest to academicians, researchers, and scientists toward improving the health of their populations. WCDA 2016 aims to bring together academicians, clinicians, researchers and other professionals engaged in the field of clinical data analytics toward developing a shared understanding of some of the most current knowledge and tools available in clinical data analytics.

International Workshop on Foundations of Big Data Computing (IEEE BigDF)

In conjunction with HiPC 2016.

December 19, 2016, Hyderabad International Conference Centre, Hyderabad, India

The goal of this workshop was to address questions like these that are fundamental to the advancement of Big Data computing, and in the process, build a diverse research community that has a shared vision to advance the state of knowledge and discovery through Big Data computing.

Workshop on Big Data Benchmarking (WBDB2015)

December 14-15, 2015, India Habitat Centre, New Delhi, India

International Capacity Building Grant from NIH Fogarty (MIDAS 2017-2019)

The goal of the University of Pittsburgh Global Health Research and Research Training eCapacity Initiative is to enhance evidence-based, data-driven decision-making in India through innovations in information and communication technology using modeling and simulation to assess the health and economic impacts of alternative disease control strategies.