S. Joseph Antony | Interdisciplinary Data Insights | Excellence in Research

Dr. S. Joseph Antony | Interdisciplinary Data Insights | Excellence in Research

Doctorate at University Of Leeds, United Kingdom

👨‍🎓 Profile

Scopus Profile

👨‍🔬 Academic Background

Dr. S. Joseph Antony is an Associate Professor at the School of Chemical and Process Engineering, University of Leeds. His research expertise lies in granular mechanics, particle technology, and stress sensing across diverse applications. With a focus on interdisciplinary projects, Dr. Antony investigates the reuse of conventional wastes in concrete, bio-stress measurements, and the impacts of pandemics on engineering and economies. He has been honored with the MIT Young Researcher Fellowship Award and actively contributes to his field through extensive publications and editorial roles.

🎓 Education

  • B.E. in Civil Engineering, University of Madras, 1987
  • MSc (Eng.) in Engineering, Indian Institute of Science (IISc), Bangalore, 1991
  • PhD in Engineering, IISc, Bangalore, 1996

🏢 Professional Experience

  • Associate Professor, School of Chemical and Process Engineering, University of Leeds (Jan 2013 – present)
  • Senior Lecturer, Institute of Particle Science and Engineering, University of Leeds (Aug 2006 – Dec 2012)
  • Lecturer, Department of Chemical Engineering, University of Leeds (Mar 2001 – Jul 2006)
  • Research Fellow, Department of Chemical Engineering, University of Surrey (Jun 1999 – Feb 2001)
  • Research Fellow, Department of Civil Engineering, Aston University (Nov 1996 – May 1999)

🔬 Research Interests

Dr. Antony’s research focuses on the fundamental and applied aspects of granular mechanics and particle technology. His work includes the development of multi-scale modeling techniques using Discrete Element Method (DEM), Finite Element Method (FEM), and Molecular Dynamics (MD) simulations. He is also involved in cutting-edge experimental methods such as photo-stress sensing and strength measurements of materials. His interdisciplinary research explores the reuse of conventional wastes in concrete, investigates bio-stress measurement techniques, and examines the impacts of pandemics on engineering industries and national economies. Dr. Antony’s work aims to bridge the gap between particle-scale properties and macroscopic behavior, contributing to both industrial applications and theoretical advancements.

💼 Research Grants

Dr. Antony has secured funding for various projects, including:

  • Developing products by reutilizing plastic wastes (£130K)
  • Predictive tools for understanding COVID-19 impacts (£100K)
  • Engineering composites using municipal waste materials (£100K)
  • Optimal dispatch of virtual power plants (£80K)
  • Advanced photo-stress analysis of composite beams ($1.05M)

🔧 Administrative Duties

  • Industrial Placement Year Leader and Manager, School of Chemical and Process Engineering (2018 – present)
  • Former Faculty Equality and Diversity Officer, leading the successful Athena Swan Bronze Award application.

📖 Publications

Untreated municipal solid waste incineration ashes for cement replacement
    • Authors: Tokgoz, D.D.G., Ozerkan, N.G., Antony, S.J.
    • Journal: Journal of Engineering Research (Kuwait)
    • Year: 2023
Experimental DEM Hybrid Approach for Prediction of Landslide in Ughelli Sandstone
    • Authors: Olugbenga, A.G., Antony, S.J., Nasir, A., Garba, M.U., Yahya, M.D.
    • Conference Paper: Lecture Notes in Electrical Engineering
    • Year: 2023
Analysis of Bidding Strategies in Virtual Power Plant
    • Authors: Pal, P., Parvathy, A.K., Devabalaji, K.R., Joseph Antony, S., Ocheme, S.E.
    • Book Chapter: Green Energy and Technology
    • Year: 2023
Modeling the Outflow of Particulate Solids from a Container Taking into Account the Effect of Adhesion to the Wall
    • Authors: Amanbaev, T.R., Antony, S.J.
    • Journal: Fluid Dynamics
    • Year: 2022
Design of IoT Based Load Management for Off-Grid Renewable Energy Sources
    • Authors: Pal, P., Parvathy, A.K., Devabalaji, K.R., Antony, S.J.
    • Conference Paper: AIP Conference Proceedings
    • Year: 2022
Development of Mathematical Models Taking into Account the Effect of Isolating Individuals in a Population
    • Authors: Amanbaev, T.R., Antony, S.J.
    • Journal: Mathematical Models and Computer Simulations
    • Year: 2022

Arun Chandramouli | Business Intelligence and Analytics | Global Innovations in Analytics Award

Mr. Arun Chandramouli | Business Intelligence and Analytics | Global Innovations in Analytics Award

Mr. Arun Chandramouli at Fulcrum Digital inc, United States

🔗 Profile

Google Scholar Profile

🧑‍💻 Summary

Arun Chandramouli is a seasoned Data Scientist with nearly a decade of experience in driving data-centric strategies and innovations. Specializing in machine learning models, advanced statistical analysis, and data architecture, Arun excels in translating complex data into actionable insights. His technical proficiency is bolstered by a certificate in Machine Learning and AI and a strong track record in enhancing business performance through data-driven solutions. Adept at fostering cross-functional teams and cultivating analytics-driven cultures, Arun is dedicated to advancing data governance and strategic decision-making.

🎓 Education

  • Post-Graduate Program in Machine Learning & AI, University of Texas at Austin (2021)
  • Master of Science in Industrial Engineering & Operations Research, University at Buffalo (2014)
  • Bachelor of Technology (IT), SSN College of Engineering (2011)

💼 Professional Experience

With nearly a decade of experience as a Data Scientist, I have a proven track record of leveraging data-driven strategies to drive organizational success and innovation. My career spans diverse industries where I have developed and deployed sophisticated machine learning models, advanced statistical analyses, and comprehensive data architectures. Notable achievements include generating significant revenue growth through impactful dashboard development, streamlining operations with advanced data visualizations, and enhancing customer satisfaction by addressing critical data issues. My roles have consistently involved cross-functional collaboration, strategic problem-solving, and the application of cutting-edge technologies to optimize performance and inform strategic decision-making. I have worked with leading organizations such as Mastercard, Equifax, and Athenahealth, where my contributions have been instrumental in improving business processes and driving data-centric solutions.

🔬 Research Interests

My research interests lie at the intersection of advanced data analytics and machine learning, focusing on how these technologies can transform business processes and decision-making. I am particularly passionate about developing predictive models and algorithms to uncover actionable insights and drive strategic growth. My work involves exploring innovative techniques in data visualization to enhance the interpretability and impact of complex datasets. Additionally, I am dedicated to optimizing data-driven decision-making through robust analytical frameworks and cutting-edge AI applications, aiming to solve real-world problems and advance the field of data science.

📖 Publication

Strategies and Impact of Customer Loyalty Programs in the Technology Sector: A Comprehensive Analysis
    • Author: A Chandramouli
    • Journal: Journal of Technological Innovations
    • Year: 2020
Leveraging Predictive Analytics to Minimize Claim Denials in Healthcare Revenue Cycle Management
    • Author: A Chandramouli
    • Journal: Journal of Technological Innovations
    • Year: 2021
Implementing Volume-Based Rebates in E-commerce: A Comprehensive Case Study
    • Author: A Chandramouli
    • Journal: Journal of Technological Innovations
    • Year: 2021
An Automated Framework for Efficiently Predicting and Managing Dispatch Rates in Technology Service Sectors
    • Author: A Chandramouli
    • Journal: Journal of Technological Innovations
    • Year: 2021