BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:GMT Standard Time BEGIN:STANDARD DTSTART:16011028T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZOFFSETFROM:+0100 TZOFFSETTO:-0000 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010325T010000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZOFFSETFROM:-0000 TZOFFSETTO:+0100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CATEGORIES:Stage 4 CLASS:PUBLIC CREATED:20250512T095617Z DESCRIPTION:MINI CONFERENCE\nIChemE Conference at CHEMUK 2025 (Day 1)\nIChe mE: Institution of Chemical Engineers\n \nWednesday 11.00 to 13.00\, Stage 4\n \nSkills session: The Skills Foundation\n* Time: Wednesday 21 May\, 1 1-11:15\n* Speaker: Dr. Kate Barclay OBE FIChemE\, Skills and talent consu ltant covering the STEM industries\nBuilding a strong foundation of skills and continuous education is key to driving innovation and sustainability in the chemical engineering industry. By nurturing new talent and fosterin g a culture of lifelong learning\, we can empower engineers to tackle comp lex challenges and shape the future of global processes\n \n \nTechnical s ession: The AI Transformation \n \nRapidly evolving digital technologies \, including AI\, are transforming the process industries. IChemE will sha re some leading examples\, with case studies from recent winners of the IC hemE Awards and the Young Engineers Awards for Innovation and Sustainabili ty.\n \na. Wednesday 21 May\, 11:15 – 11:35\nEarly Careers session: EvoP hase HARPPP: AI-Driven Optimisation of Industrial Processes \nSpeakers: \n * Roberto Hart-Villamil (Modelling and Simulation Engineer\, major defence contractor) & 2024 IChemE Young Engineer Winner\n* Andrei Leonard Nicusan (CTO and Founder of EvoPhase)\nOptimising designs for industrial equipmen t — such as wind turbines\, stirred tank reactors\, or fluidised beds — is traditionally a costly\, months or years-long venture that often yi elds only marginal improvements over decades-old designs. At the Universit y of Birmingham\, early career researchers developed an autonomous\, AI-dr iven geometric optimisation engine to reduce energy consumption\, minimise waste\, and enhance overall efficiency in industrial processes. By enabli ng the generation and simulation-based testing of thousands of diverse des igns in just days\, this technology has delivered significant performance improvements across five industrial sectors—from a 10-fold energy reduct ion in a Unilever mixer to a 7-fold increase in wind turbine efficiency.\n \n \nb. Wednesday 21 May\, 11:35 – 11:55\nIndustry Case study 1: Using AI to optimize fuels additives treatment\nSpeaker: John Hung\, Global Cate gory Director for Operations Supply and Projects\, BP\nBP is using artific ial intelligence and advanced non-linear predictive models for real-time m onitoring and control of a fuels additives treatment process. This improv ed the safety\, efficiency and reliability of the process\, helping to sel ect the optimum additives\, detect issues early\, and adjusting the additi ve mixture in real time to adjust for changing fuels quality and operation al parameters.\nIt enabled BP to comply with stringent industrial regulati ons\, reduce quality give-aways and avoid unplanned shutdown. It also help ed make the process more efficient by reducing chemical and energy consump tion\, shrinking the carbon footprint and improving performance. More impo rtantly\, it increased the processing of opportunity crudes by removing re finery constraints. In a nutshell\, using digital tools including AI made the process more sustainable and safer while reducing the carbon footprint s and costs.\nThe project was the winner of the Process Automation and Dig italisation Award at the 2024 IChemE Global Awards\n \nc. Industry Case st udy 2: Combining Deep Knowledge with AI in Advanced Process Operations\nSp eaker: Prof. Dr. Costas Pantelides FIChemE FREng\nTime: Wednesday 21 May\, 11:55 – 12:15\nSophisticated decision support and control systems which make use of deep process knowledge\, often developed during the plant des ign stage\, open a range of new possibilities in process operations. In th is talk\, we briefly review recent industrial experience in this area\, an d the associated benefits in terms of higher product quality\, enhanced pr ofitability and increased sustainability. We also examine some of the spec ific ways in which new AI-based technologies can be combined with establis hed methodologies in process modelling and mathematics to deliver addition al functionality and benefits.\n \n The speaker is also pres enting a keynote at the Advances in the Digitalisation of the Process Indu stries conference on 16-17 October 2025 in Manchester\n \nDigital tools Roundtable Discussi on\nWhat is the potential for digital tools in the process industries? How might we use AI to monitor and help control processes? Can AI help in the creative process?\nTime: Wednesday 21 May\, 12:15 – 13:00\nParticipants :\n* Dr Kate Barclay MBE FIChemE\n* Roberto Hart-Villamil\ , Modelling and Simulation Engineer\, Major Defence Contractor\n* Andrei Leonard Nicusan\, CTO - EvoPhase\n* John Hung\, GCD Operati ons Supply & Projects -BP\nProf. Dr. Costas Pantelides FIChemE FREng\, CTO - Siemens Process Automation Software\n \nIChemE: Institution of Chemical Engineers - Chemical UK Expo \n \n \n DTEND;TZID="GMT Standard Time":20250521T130000 DTSTAMP:20250512T095617Z DTSTART;TZID="GMT Standard Time":20250521T110000 LAST-MODIFIED:20250512T095617Z LOCATION:Stage 4 PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-gb:MINI CONFERENCE: IChemE conference at CHEMUK 2025 TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000707206F3F8C0DB01000000000000000 0100000005265D5FC4035764988431E42EFE45897 X-ALT-DESC;FMTTYPE=text/html:

MINI CONFERENCE

IChemE Conference at CHEMUK 2025 (Day 1)< /b>

IChemE: Institution of Chemical Engineers

 \;

We dnesday 11.00 to 13.00\, Stage 4

 \;

Skills session: The Ski lls Foundation

  • Time: \;Wednes day 21 May\, 11-11:15
  • Speaker: \;Dr. Kate Barclay OBE FIChemE\, Skill s and talent consultant covering the STEM industries

Building a strong foun dation of skills and continuous education is key to driving innovation and sustainability in the chemical engineering industry. By nurturing new tal ent and fostering a culture of lifelong learning\, we can empower engineer s to tackle complex challenges and shape the future of global processes

 \;

 \;

Technical session: The AI Transf ormation \; \;

 \;

Rapidly evolving digital technologies\, including AI\, are transforming the process industries. IChemE will share some lead ing examples\, with case studies from recent winners of the IChemE Awards and the Young Engineers Awards for Innovation and Sustainability.

  \;

  1. Wednesday 21 May\, 11:15 ̵ 1\; 11:35

Early Careers session: EvoPhase HARPPP: AI-Driven Optimisation of Industrial Processes

Speakers:

  • Roberto Hart-Vi llamil (Modelling and Simulation Engineer\, major defence contractor) & \; 2024 IChemE Young Engineer Winner
  • Andrei Leonard Nicusan (CTO and Founder of EvoPhase)

Optimising designs for industrial equipment —\; such as wind turbines\, stirred tank re actors\, or fluidised beds —\; is traditionally a costly\, months or years-long venture that often yields only marginal improvements over decad es-old designs. At the University of Birmingham\, early career researchers developed an autonomous\, AI-driven geometric optimisation engine to redu ce energy consumption\, minimise waste\, and enhance overall efficiency in industrial processes. By enabling the generation and simulation-based tes ting of thousands of diverse designs in just days\, this technology has de livered significant performance improvements across five industrial sector s—\;from a 10-fold energy reduction in a Unilever mixer to a 7-fold i ncrease in wind turbine efficiency.

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&n bsp\;

  1. Wednesday 21 May\, 11:35 &# 8211\; 11:55

Industry Case study 1: Using AI to optimize fuels addit ives treatment< /span>

Speaker:&nb sp\;John Hung\, Global Category Director for Operations Supply and Project s\, BP

BP is u sing artificial intelligence and advanced non-linear predictive models for real-time monitoring and control of a fuels addi tives treatment process. \; This improved the safety\, efficiency and reliability of the process\, helping to select th e optimum additives\, detect issues early\, and adjusting the additive mix ture in real time to adjust for changing fuels quality and operational par ameters.

It en abled BP to comply with stringent industrial regulations\, reduce quality give-aways and avoid unplanned shutdown. It also helped make the process m ore efficient by reducing chemical and energy consumption\, shrinking the carbon footprint and improving performance. More importantly\, it increased the processing of opportunity crudes by removin g refinery constraints. In a nutshell\, using digital tools including AI m ade the process more sustainable and safer while reducing the carbon footp rints and costs.

The project was the winner of the \;Process Automation and Digit alisation Award \;at the \;2024 IChemE \;Global Awards

 \;

  1. Industry Case study 2: Combining Deep Knowledge with AI in Adv anced Process Operations

Speaker: \;Prof. Dr. Costas Pantelides FIChemE FREng

Time: \;Wednesday 2 1 May\, 11:55 –\; 12:15

Sophisticated decision support and control systems which ma ke use of deep process knowledge\, often developed during the plant design stage\, open a range of new possibilities in process operations. In this talk\, we briefly review recent industrial experience in this area\, and t he associated benefits in terms of higher product quality\, enhanced profitability and increased sustainability. We also ex amine some of the specific ways in which new AI-based technologies can be combined with established methodologies in process modelling and mathemati cs to deliver additional functionality and benefits.

 \;

 \; \; \; \; \; \; \; \;&n bsp\; \; \; \; \; \; The speaker is also presenting a keynote at the \;Advances in the Digitalisation of the Proces s Industries \;conference on 16-17 October 2025 in Manchester< o:p>

 \;

Digital tools Roundtable Discussion

What is the potential for digital tools in the process industries? How might we use AI to monitor and help control processes? Ca n AI help in the creative process?

Time: \;Wednesday 21 May\, 12:15 –\; 13:00

Parti cipants:

·\; \; \; \; \; \; \; \; \; Dr Kate Barclay MBE FIChemE

·\; \; \;&nb sp\; \; \; \; \; \; Rob erto Hart-Villamil\, Modelling and Simulation Engineer\, Major Defence Con tractor

·\; \; \; \; \; \; \; \; \; < /span>Andrei Leonard Nicusan\, CTO - EvoPhase

·\;< span style='font:7.0pt "Times New Roman"'> \; \; \; \;&nbs p\; \; \; \; John Hung\, GCD Op erations Supply &\; Projects -BP

Prof. Dr. Costas Pantelides FIChemE FREng\, CTO - Siemens Process Automation So ftware

 \;

IChemE: Institution of Chemical Engineers - Chemi cal UK Expo

 \;

 \;

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