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DEM Simulation for Pharmaceutical Manufacturing Processes – Latest Advances, Methodologies & Applications

Virtual Event - June 11, 2025

Efficient handling and processing of particulates is critical to enhancing pharmaceutical manufacturing efficiency, reducing costs, and accelerating product delivery. Physical testing in the Oral Solid Dose (OSD) manufacturing process is time-consuming and hit-and-trial is expensive due to the costs associated with raw materials, labor, instrumentation, and safe disposal.

The Discrete Element Method (DEM) is now well recognized as a key modeling tool that accurately simulates the behavior of particulate materials used in drug production, from powders to tablets and capsules. This technology enables manufacturers in the pharmaceutical industry to gain key insights and optimize critical processes such as mixing, coating, granulation, die filling, and tableting.

Leading pharmaceutical manufacturers worldwide leverage DEM with Altair® EDEM™ software to increase process efficiency and capability, improve product quality, reduce prototyping costs, and get products to market quicker.

Join us for a free virtual event to find out about the latest developments and advances in the field of DEM for pharmaceutical manufacturing. Hear from industry leaders at MSD and Novo Nordisk as well as our EDEM experts who will showcase the latest methodologies and capabilities available.

Discover how DEM combined with machine learning and digital twins can support your digital transformation strategy and help you:

Develop robust recipe for process optimization for R&D scale

Enable "Right First Time" technology transfer for process scale-up

Produce a registration batch with a robust control strategy

Manufacture commercial batches with high Sigma quality

JOIN US

Why Attend?

This event will be of interest to engineers, scientists and researchers involved in the drug product manufacturing process.

Explore the latest trends and advances in the field of DEM combined with Machine Learning and Digital Twin

Hear how leading pharma manufacturers leverage these technologies to enhance process understanding, reduce the need for extensive & expensive physical trials, and ensure compliance with stringent regulatory standards

Find out how about the latest capabilities of EDEM software

Connect and share with others in the pharma community

AGENDA

Wednesday June 11, 2025 | Duration: 2.5 hours

The event will launch live at 2 different times to accommodate different time zones.
🔊 Sessions will feature live audio translation into French, German, Italian, Japanese, Chinese and Korean.

Start times:
APAC/EMEA Session: 10:00 Paris / 13:30 New Delhi / 16:00 Shanghai / 17:00 Tokyo
AMER Session: 11:00 Los Angeles / 13:00 Mexico City / 14:00 New York

2 different sessions offered
10:00 - 10:05 (Paris) 14:00 - 14:05 (New York)	Welcome and Introduction Senthil Arumugam, Senior Director, Global Sales - DEM Technology Altair
10:05 - 10:25 (Paris) 14:05 - 14:25 (New York)	Modelling and Analysis of Roller Compaction using the Discrete Element Method Plamen Grigorov, PhD, Principal Scientist MSD
10:25 - 10:45 (Paris) 14:25 - 14:45 (New York)	DEM Simulations: A Key Strategy for Mitigating Component Deformation and Improving Transportation Efficiency Ioannis Fragkopoulos, Senior Process Modelling Scientist Novo Nordisk
10:45 - 11:05 (Paris) 14:45 - 15:05 (New York)	DEM Simulation of Continuous Pharmaceutical Processes Dr. John P. Morrissey, Research Fellow The University of Edinburgh

11:10 - 11:25 (Paris) 15:10 - 15:25 (New York)	DEM-led Digital Twin for Blending Unit Operation in Pharmaceutical Manufacturing Mohan Nainegali, Solutions Specialist - DEM Technology Altair
11:25 - 11:40 (Paris) 15:25 - 15:40 (New York)	An Efficient Approach to DEM Simulation of Fine Powder Mixing using Machine Learning and Optimization Techniques Ambrish Singh, Solutions Engineer- EDEM Altair
11:40 - 11:55 (Paris) 15:40 - 15:55 (New York)	An Innovative Approach to Studying Sifting Segregation via DEM Informed Scale Down Stefan Pantaleev, Lead Solutions Specialist Altair
11:55 - 12:10 (Paris) 15:55 - 16:10 (New York)	Ground-breaking EDEM Applications in the Pharmaceutical Industry Carles Bosch Padros, Manager - Global Technical Team - EDEM Altair
12:10 - 12:25 (Paris) 16:10 - 16:25 (New York)	EDEM for Pharmaceutical Applications: Latest Features and Future Roadmap Sophie Cole, Senior Product Manager, EDEM Altair
12:25 - 12:30 (Paris) 16:25 - 16:30 (New York)	Summary & Close

Featured Speakers

Ioannis Fragkopoulos

Senior Process Modelling Scientist

Novo Nordisk

Ioannis is a Senior Process Modelling Scientist at Novo Nordisk where he employs commercial DEM, FEM and CFD tools to support, accelerate and optimize the development of oral drug products and devices. He holds an integrated bachelor’s/ master’s degree in Chemical Engineering from the University of Patras (GR) and a Ph.D. in Chemical Engineering from the University of Manchester (UK).

Plamen Grigorov, PhD

Principal Scientist

MSD

Plamen Grigorov holds a PhD degree in chemical engineering from Rutgers University and currently is a principal scientist at MSD. He has 20 years of pharmaceutical process development experience in both drug substance and drug product areas. His current research interests are applying high fidelity modeling techniques (DEM, CFD, FEM) to better study pharmaceutical unit operations and the underlying physical/chemical processes that govern them.

Dr. John P. Morrissey

Research Fellow

The University of Edinburgh

Dr J.P. Morrissey is a Research Fellow specialising in particulate mechanics and the Discrete Element Method (DEM) at the University of Edinburgh, Scotland, UK where he is a member of the Granular & Geomechanical Processes research group within the School of Engineering. Dr Morrissey has been a user of EDEM for over 15 years and developed the Edinburgh Elasto-Plastic Adhesion (EEPA) Model as part of his PhD.