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X-ORIGINAL-URL:https://sacac.org.za
X-WR-CALDESC:Events for 
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BEGIN:VTIMEZONE
TZID:Africa/Johannesburg
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
TZNAME:SAST
DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Africa/Johannesburg:20260130T130000
DTEND;TZID=Africa/Johannesburg:20260130T140000
DTSTAMP:20251203T131737Z
CREATED:20251203T131737Z
LAST-MODIFIED:20251203T131737Z
UID:1745-1769778000-1769781600@sacac.org.za
SUMMARY:SACAC Guest Lecture: Instrument Data Acquisition\, Control\, Analysis And Visualisation Systems At The Necsa Neutron Diffraction Facility
DESCRIPTION:
URL:https://sacac.org.za/event/sacac-guest-lecture-instrument-data-acquisition-control-analysis-and-visualisation-systems-at-the-necsa-neutron-diffraction-facility/
LOCATION:Online
ORGANIZER;CN="SACAC":MAILTO:secretariat@sacac.org.za
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Africa/Johannesburg:20260203T180000
DTEND;TZID=Africa/Johannesburg:20260203T190000
DTSTAMP:20251113T124702Z
CREATED:20251104T142005Z
LAST-MODIFIED:20251113T124702Z
UID:1688-1770141600-1770145200@sacac.org.za
SUMMARY:Opto-Cybergenetics for Bioreactor Optimization: Feedback Control of Cellular Function with Light
DESCRIPTION:Venue: University of Pretoria \n \nAbstract: Living cells are dynamic\, adaptive systems — rich in feedback\, noise\, and nonlinear behavior. Opto-cybergenetics is an emerging discipline that merges control theory\, synthetic biology\, and optogenetics to bring such systems under real-time feedback control. By coupling cells to computers through light-based signaling\, we can now measure and modulate gene expression dynamically\, enabling precise and optimal control of biological processes. In this talk\, I will present recent advances in closed-loop optogenetic control for biotechnology. In one example\, feedback regulation of the unfolded protein response in yeast maintained gene expression at near-optimal levels\, resulting in increased protein yields. In another\, dynamic cybergenetic control was used to stabilize and reprogram the composition of bacterial co-cultures in real time. Finally\, I will outline how these ideas extend toward fully autonomous genetic control systems\, where engineered circuits within cells perform their own regulation. Together\, these developments illustrate how opto-cybergenetics is transforming biotechnology into a truly cyber-physical discipline — one where light\, computation\, and living matter are seamlessly integrated through feedback. \nREGISTER NOW\nCo-hosted by SACAC and NITheCS
URL:https://sacac.org.za/event/opto-cybergenetics-for-bioreactor-optimization-feedback-control-of-cellular-function-with-light/
LOCATION:University of Pretoria
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Africa/Johannesburg:20260204T180000
DTEND;TZID=Africa/Johannesburg:20260204T190000
DTSTAMP:20260203T141449Z
CREATED:20251114T110623Z
LAST-MODIFIED:20260203T141449Z
UID:1738-1770228000-1770231600@sacac.org.za
SUMMARY:The Mathematics of Life’s Robustness: Internal Models and Perfect Adaptation in Biological Control
DESCRIPTION:Abstract: Biological systems achieve remarkable robustness: cells maintain homeostasis and adapt precisely to environmental changes despite stochasticity\, delays\, and parametric uncertainty. How do they accomplish this\, and how can we replicate such capabilities in synthetic systems? In this lecture\, I will present a theoretical framework for robust perfect adaptation (RPA) in biomolecular networks\, revealing deep structural parallels between biological regulation and classical control theory. I will introduce a universal internal model principle (IMP) for living systems\, showing how integral feedback and its generalizations emerge naturally as the only architectures capable of achieving kinetics-independent robust perfect adaptation. Using a linear-algebraic characterization of network stoichiometry\, I will identify the necessary and sufficient structural conditions for maximal adaptation in both deterministic and stochastic settings. Beyond theory\, I will discuss synthetic implementations of these principles in living cells\, where engineered integral feedback controllers achieve robust regulation of protein expression and growth. Together\, these results demonstrate that the logic of control—long the foundation of engineered systems—is also the mathematics of life’s stability\, offering a blueprint for designing adaptive\, intelligent biological systems. \nDate: 4 February 2026 \nVenue: The NITheCS seminar room\, Merensky Building\, Entrance 0016\, Merriman Street\, Stellenbosch University \nREGISTER NOW\nCo-hosted by SACAC and NITheCS
URL:https://sacac.org.za/event/the-mathematics-of-lifes-robustness-internal-models-and-perfect-adaptation-in-biological-control/
LOCATION:Stellenbosch University
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Africa/Johannesburg:20260205T130000
DTEND;TZID=Africa/Johannesburg:20260205T140000
DTSTAMP:20260203T141553Z
CREATED:20251104T142744Z
LAST-MODIFIED:20260203T141553Z
UID:1694-1770296400-1770300000@sacac.org.za
SUMMARY:Cybergenetics: From Theory to Therapy
DESCRIPTION:Venue: University of Cape Town \n \nAbstract: The ability to program living cells with designed feedback circuits is transforming biotechnology and medicine. Cybergenetics unites control theory and synthetic biology to endow cells with regulatory functions once limited to engineered systems. In this lecture\, I will describe how theoretical insights into feedback and adaptation are being translated into the design and realization of genetic control circuits that operate reliably within the noisy\, nonlinear environment of living cells. I will present examples of synthetic feedback architectures implemented in both bacterial and mammalian systems\, where precise regulation of gene expression enables new levels of performance in cellular homeostasis. Finally\, I will discuss how these same principles are being applied to create therapeutic cells capable of autonomously sensing disease cues and restoring physiological balance. Together\, these advances chart a path from the mathematics of feedback to the engineering of adaptive\, intelligent cell-based therapies. \nDate: 5 February 2026 \nVenue: Chemical Engineering Seminar Room\, Chemical Engineering Building\, Upper Campus\, University of Cape Town \nREGISTER NOW\nCo-hosted by SACAC and CeBER
URL:https://sacac.org.za/event/cybergenetics-from-theory-to-therapy/
LOCATION:University of Cape Town
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Africa/Johannesburg:20260213T090000
DTEND;TZID=Africa/Johannesburg:20260213T120000
DTSTAMP:20260123T085057Z
CREATED:20260122T110306Z
LAST-MODIFIED:20260123T085057Z
UID:1754-1770973200-1770984000@sacac.org.za
SUMMARY:SACAC AGM 2026
DESCRIPTION:NOTICE OF THE 2026 SACAC ANNUAL GENERAL MEETING\nSACAC cordially invites all Members and Friends to attend the 65th SACAC AGM \nDate: Friday\, 13th of February 2026\nTime: 09h00 – 12h00\nVenue: 54 Bath Ave\, Rosebank\, Johannesburg\, 2196 \nGuest Speaker: Prof Frank Zhu \nMathematical Decomposition for Integrated Planning\, Operation and Control Optimization \n(Click here for Prof Zhu’s Bio.) \nKindly note that this is a hybrid Annual General Meeting. \nClick here to RSVP  \nPlease RSVP by close of business on Friday\, the 9th of January 2026. \nPlease click here to download the nomination form to elect the EXCO for 2026. Written nominations close at 08h00 on the 12th of February 2026. Please email your nomination form to secretariat@sacac.org.za \nWe look forward to welcoming you to the 2026 SACAC AGM.
URL:https://sacac.org.za/event/sacac-agm-2026/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Africa/Johannesburg:20260313T130000
DTEND;TZID=Africa/Johannesburg:20260313T140000
DTSTAMP:20260303T073158Z
CREATED:20260303T073158Z
LAST-MODIFIED:20260303T073158Z
UID:1782-1773406800-1773410400@sacac.org.za
SUMMARY:Guest Lecture: Bridging the gap between digital twins and current engineering practice
DESCRIPTION:
URL:https://sacac.org.za/event/guest-lecture-bridging-the-gap-between-digital-twins-and-current-engineering-practice/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Africa/Johannesburg:20260410T130000
DTEND;TZID=Africa/Johannesburg:20260410T140000
DTSTAMP:20260330T102159Z
CREATED:20260330T101753Z
LAST-MODIFIED:20260330T102159Z
UID:1818-1775826000-1775829600@sacac.org.za
SUMMARY:SACAC Guest Lecture: 10 April 2026
DESCRIPTION:Beyond The PID Loop: My Real-World Journey of Advanced Control and AI in Industrial Automation
URL:https://sacac.org.za/event/sacac-guest-lecture-10-april-2026/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Africa/Johannesburg:20260508T130000
DTEND;TZID=Africa/Johannesburg:20260508T140000
DTSTAMP:20260428T131028Z
CREATED:20260428T131028Z
LAST-MODIFIED:20260428T131028Z
UID:1834-1778245200-1778248800@sacac.org.za
SUMMARY:SACAC Guest Lecture: Benefit Estimates and Benefit Audits – The Same or Different by Dr Kevin Brooks
DESCRIPTION:
URL:https://sacac.org.za/event/sacac-guest-lecture-benefit-estimates-and-benefit-audits-the-same-or-different-by-dr-kevin-brooks/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260529
DTEND;VALUE=DATE:20260530
DTSTAMP:20260313T101701Z
CREATED:20260313T101701Z
LAST-MODIFIED:20260313T101701Z
UID:1809-1780012800-1780099199@sacac.org.za
SUMMARY:Workshop: Applied Machine Vision for Robotic Applications
DESCRIPTION:
URL:https://sacac.org.za/event/workshop-applied-machine-vision-for-robotic-applications/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Africa/Johannesburg:20260612T130000
DTEND;TZID=Africa/Johannesburg:20260612T140000
DTSTAMP:20260604T071725Z
CREATED:20260604T071635Z
LAST-MODIFIED:20260604T071725Z
UID:1849-1781269200-1781272800@sacac.org.za
SUMMARY:SACAC Guest Lecture by Prof Lijun Zhang
DESCRIPTION:
URL:https://sacac.org.za/event/sacac-guest-lecture-by-prof-lijun-zhang/
CATEGORIES:Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Africa/Johannesburg:20260807T130000
DTEND;TZID=Africa/Johannesburg:20260807T140000
DTSTAMP:20260716T062126Z
CREATED:20260716T062117Z
LAST-MODIFIED:20260716T062126Z
UID:1863-1786107600-1786111200@sacac.org.za
SUMMARY:SACAC Guest Lecture: Modelling\, state estimation and control concepts in pharmaceutical drug product development
DESCRIPTION:
URL:https://sacac.org.za/event/sacac-guest-lecture-modelling-state-estimation-and-control-concepts-in-pharmaceutical-drug-product-development/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260904
DTEND;VALUE=DATE:20260905
DTSTAMP:20260903T101306Z
CREATED:20260831T091331Z
LAST-MODIFIED:20260903T101306Z
UID:1919-1788480000-1788566399@sacac.org.za
SUMMARY:SACAC Guest Lecture: A Practical Guide to PID Controller Implementation
DESCRIPTION:
URL:https://sacac.org.za/event/sacac-guest-lecture-a-practical-guide-to-pid-controller-implementation/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260916
DTSTAMP:20260910T105343Z
CREATED:20260807T093803Z
LAST-MODIFIED:20260910T105343Z
UID:1890-1789430400-1789516799@sacac.org.za
SUMMARY:IFAC Distinguished Lecture: 15 September 2026 (Pretoria)
DESCRIPTION:
URL:https://sacac.org.za/event/ifac-distinguished-lecture-15-september-2026-pretoria/
LOCATION:University of Pretoria (Engineering Sciences 1 Building)\, University of Pretoria (Engineering Sciences 1 Building)\, University Rd\, Elandspoort 357-Jr\, Pretoria\, Gauteng\, 0132\, South Africa
CATEGORIES:Lecture
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260917
DTEND;VALUE=DATE:20260918
DTSTAMP:20260910T111352Z
CREATED:20260807T094222Z
LAST-MODIFIED:20260910T111352Z
UID:1894-1789603200-1789689599@sacac.org.za
SUMMARY:IFAC Distinguished Lecture: 17 September 2026 (Stellenbosch)
DESCRIPTION:
URL:https://sacac.org.za/event/ifac-distinguished-lecture-17-september-2026-stellenbosch/
LOCATION:Stellenbosch University (General Engineering Building)\, Stellenbosch University (General Engineering Building)\, Stellenbosch\, Western Cape\, 7600\, South Africa
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261002
DTEND;VALUE=DATE:20261003
DTSTAMP:20260911T131126Z
CREATED:20260911T130850Z
LAST-MODIFIED:20260911T131126Z
UID:1972-1790899200-1790985599@sacac.org.za
SUMMARY:Safe Exploration for Datadriven Real-Time Optimization Using Constraint Control
DESCRIPTION:
URL:https://sacac.org.za/event/safe-exploration-for-datadriven-real-time-optimization-using-constraint-control/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261012
DTEND;VALUE=DATE:20261014
DTSTAMP:20260908T132202Z
CREATED:20260724T084810Z
LAST-MODIFIED:20260908T132202Z
UID:1877-1791763200-1791935999@sacac.org.za
SUMMARY:SACAC Workshop: Observer Design For Dynamic Systems (Pretoria)
DESCRIPTION:  \nPROGRAMME\nDay 1: Basics of Observers \nThis day covers the basic concepts of observability and observers. \n\n\n\n08:00 – 08:30\nRegistration + Coffee/Tea\n\n\n08:30 – 09:00\nIntroduction\nDerik le Roux\n\n\n\nWhat is an observer?\nHow does it fit into a control loop? \n\nExample 1: Inverted PendulumBrunton\, S. L. and Kutz\, J. N. Data Driven Science and Engineering: Machine Learning\, Dynamical Systems and Control. Cambridge University Press\, 2019\n\n\nExample 2: CSTRHaseltine\, E. L. and Rawlings\, J. B. Critical evaluation of extended Kalman filtering and moving-horizon estimation. Ind. Eng. Chem. Res.\, 44:2451-2460\, 2005.\n\n\nExample 3: Falling objectJulier\, S.\, Uhlmann\, J.\, and Durrant-Whyte\, H. F. A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Trans. Automatic Control\, 45(3):477-482\, 2000.\n\nThe introduction aims to provide an overview of what an observer is\, how it fits into a feedback control system\, and why they are important.\n\n\n\n09:00 – 10:00\nObservability\nDerik le Roux\n\n\n\n\n\nDefinition of Observability\nLinear Systems\n\nTests for observability for linear systems\n\nRank condition\nEigenvalue analysis\nObservability Gramian\n\nModel reduction and degree of observability\n\n\n\n\n\n\nNonlinear Systems\n\nObservability test using Lie derivatives\n\n\nDecomposition\n\nObservability is an important concept for the design of observers. The concept will be described mainly for linear systems\, specifically some of the basic tests to evaluate observability. Observability in the context of nonlinear systems will be discussed briefly.\n\n\n\n10:00 – 10:15\nCoffee/Tea break\n\n\n10:15 – 12:00\nObservers\nDerik le Roux / Denis Dochain\n\n\n\n\n\nLuenberger Observer and pole placement\nLinear Quadratic Regulators\, Linear Quadratic Observers and Linear Quadratic Gaussian control.\n\nThis section presents some of the foundational aspects of observers which is necessary to understand one of the most common observers\, the Kalman Observer.\n\n\n\n12:00 – 13:00\nLunch\n\n\n13:00 – 14:30\nMore Observers\nDerik le Roux / Denis Dochain\n\n\n\n\n\nKalman Observer\nExtended Kalman Observer\nOther nonlinear observers (Unscented Kalman Observer)\n\nThe most well-known observer\, the Kalman Observer\, will be discussed. Extensions of the observer for nonlinear systems and the tuning of these observers will be discussed.\n\n\n\n14:30 – 15:00\nCoffee/Tea break\n\n\n15:00 – 16:30\nSimulations\nDerik le Roux\n\n\n\n\n\nExercise A: Inverted Pendulum\nExercise B: CSTR\nExercise C: Falling object\n\nParticipants will play with MATLAB/Simulink simulations to better understand the different observers.\n\n\n\n\n  \nDay 2: Advanced topics \nThis day will cover the main topics as from the following articles: \n\nPannocchia\, G.\, Rawlings\, J.B. (2003). Disturbance Models for Offset-Free Model-Predictive Control. AIChE Journal\, 39(2)\, 426-437.\nD. (2003). State and parameter estimation in chemical and biochemical processes: a tutorial. Journal of Process Control\, 13\, 801-818.\n\n\n\n\n08:00 – 08:30\nCoffee/Tea break\n\n\n08:30 – 10:00\nOffset-free MPC using disturbance observers \nDerik le Roux\n\n\n\n\n\nWhat is offset-free MPC?\nHow to estimate disturbances and what are the limitations?\nSimulations\n\nThis section considers how Observers can be included in MPC loops to achieve offset-free setpoint tracking for MPC. It involves extending the model to include input/output disturbances\, but with specific limitations.\n\n\n\n10:00 – 10:15\nCoffee/Tea break\n\n\n10:15 – 12:00\nAsymptotic Observers and Reaction Invariants \nThe underlying idea of asymptotic observers is to take advantage of the structure of the dynamical models of a processes to rewrite part of the model in a form independent of the process kinetics. This structural property of mass and energy balance is closely related to the notion of reaction invariants.\nDenis Dochain\n\n\n12:00 – 13:00\nLunch\n\n\n13:00 – 14:30\nDecoupled parameter estimation \nImproved estimation performance is possible if the state estimation and the parameter estimation are decoupled from each other.\nDenis Dochain\n\n\n14:30 – 15:00\nCoffee/Tea break\n\n\n15:00 – 16:30\nSimulations \n\nExample A: CSTR\n\nParticipants will use MATLAB/Simulink simulations to better understand the different observer approaches.\nDenis Dochain / Derik le Roux
URL:https://sacac.org.za/event/sacac-workshop-observer-design-for-dynamic-systems-pretoria/
LOCATION:University of Pretoria
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261015
DTEND;VALUE=DATE:20261017
DTSTAMP:20260908T132344Z
CREATED:20260724T085002Z
LAST-MODIFIED:20260908T132344Z
UID:1880-1792022400-1792195199@sacac.org.za
SUMMARY:SACAC Workshop: Observer Design For Dynamic Systems (Stellenbosch)
DESCRIPTION:  \nPROGRAMME\nDay 1: Basics of Observers \nThis day covers the basic concepts of observability and observers. \n\n\n\n08:00 – 08:30\nRegistration + Coffee/Tea\n\n\n08:30 – 09:00\nIntroduction\nDerik le Roux\n\n\n\nWhat is an observer?\nHow does it fit into a control loop? \n\nExample 1: Inverted PendulumBrunton\, S. L. and Kutz\, J. N. Data Driven Science and Engineering: Machine Learning\, Dynamical Systems and Control. Cambridge University Press\, 2019\n\n\nExample 2: CSTRHaseltine\, E. L. and Rawlings\, J. B. Critical evaluation of extended Kalman filtering and moving-horizon estimation. Ind. Eng. Chem. Res.\, 44:2451-2460\, 2005.\n\n\nExample 3: Falling objectJulier\, S.\, Uhlmann\, J.\, and Durrant-Whyte\, H. F. A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Trans. Automatic Control\, 45(3):477-482\, 2000.\n\nThe introduction aims to provide an overview of what an observer is\, how it fits into a feedback control system\, and why they are important.\n\n\n\n09:00 – 10:00\nObservability\nDerik le Roux\n\n\n\n\n\nDefinition of Observability\nLinear Systems\n\nTests for observability for linear systems\n\nRank condition\nEigenvalue analysis\nObservability Gramian\n\nModel reduction and degree of observability\n\n\n\n\n\n\nNonlinear Systems\n\nObservability test using Lie derivatives\n\n\nDecomposition\n\nObservability is an important concept for the design of observers. The concept will be described mainly for linear systems\, specifically some of the basic tests to evaluate observability. Observability in the context of nonlinear systems will be discussed briefly.\n\n\n\n10:00 – 10:15\nCoffee/Tea break\n\n\n10:15 – 12:00\nObservers\nDerik le Roux / Denis Dochain\n\n\n\n\n\nLuenberger Observer and pole placement\nLinear Quadratic Regulators\, Linear Quadratic Observers and Linear Quadratic Gaussian control.\n\nThis section presents some of the foundational aspects of observers which is necessary to understand one of the most common observers\, the Kalman Observer.\n\n\n\n12:00 – 13:00\nLunch\n\n\n13:00 – 14:30\nMore Observers\nDerik le Roux / Denis Dochain\n\n\n\n\n\nKalman Observer\nExtended Kalman Observer\nOther nonlinear observers (Unscented Kalman Observer)\n\nThe most well-known observer\, the Kalman Observer\, will be discussed. Extensions of the observer for nonlinear systems and the tuning of these observers will be discussed.\n\n\n\n14:30 – 15:00\nCoffee/Tea break\n\n\n15:00 – 16:30\nSimulations\nDerik le Roux\n\n\n\n\n\nExercise A: Inverted Pendulum\nExercise B: CSTR\nExercise C: Falling object\n\nParticipants will play with MATLAB/Simulink simulations to better understand the different observers.\n\n\n\n\n  \nDay 2: Advanced topics \nThis day will cover the main topics as from the following articles: \n\nPannocchia\, G.\, Rawlings\, J.B. (2003). Disturbance Models for Offset-Free Model-Predictive Control. AIChE Journal\, 39(2)\, 426-437.\nD. (2003). State and parameter estimation in chemical and biochemical processes: a tutorial. Journal of Process Control\, 13\, 801-818.\n\n\n\n\n08:00 – 08:30\nCoffee/Tea break\n\n\n08:30 – 10:00\nOffset-free MPC using disturbance observers \nDerik le Roux\n\n\n\n\n\nWhat is offset-free MPC?\nHow to estimate disturbances and what are the limitations?\nSimulations\n\nThis section considers how Observers can be included in MPC loops to achieve offset-free setpoint tracking for MPC. It involves extending the model to include input/output disturbances\, but with specific limitations.\n\n\n\n10:00 – 10:15\nCoffee/Tea break\n\n\n10:15 – 12:00\nAsymptotic Observers and Reaction Invariants \nThe underlying idea of asymptotic observers is to take advantage of the structure of the dynamical models of a processes to rewrite part of the model in a form independent of the process kinetics. This structural property of mass and energy balance is closely related to the notion of reaction invariants.\nDenis Dochain\n\n\n12:00 – 13:00\nLunch\n\n\n13:00 – 14:30\nDecoupled parameter estimation \nImproved estimation performance is possible if the state estimation and the parameter estimation are decoupled from each other.\nDenis Dochain\n\n\n14:30 – 15:00\nCoffee/Tea break\n\n\n15:00 – 16:30\nSimulations \n\nExample A: CSTR\n\nParticipants will use MATLAB/Simulink simulations to better understand the different observer approaches.\nDenis Dochain / Derik le Roux
URL:https://sacac.org.za/event/sacac-workshop-observer-design-for-dynamic-systems-stellenbosch/
LOCATION:Stellenbosch University
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20270906
DTEND;VALUE=DATE:20270909
DTSTAMP:20260904T131734Z
CREATED:20260904T131623Z
LAST-MODIFIED:20260904T131734Z
UID:1929-1820188800-1820447999@sacac.org.za
SUMMARY:Control Conference Africa and Mining\, Minerals and Metals workshop (CCA/MMM2027)
DESCRIPTION:JOIN THE CONFERENCE MAILING LIST
URL:https://sacac.org.za/event/control-conference-africa-and-mining-minerals-and-metals-workshop-cca-mmm2027/
END:VEVENT
END:VCALENDAR