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ORGANIZER;CN=Australian Centre For Robotics Administration;SENT-BY="mailto:s
 abrina.asri@sydney.edu.au":mailto:acfr.admin@sydney.edu.au
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=everybody:
 mailto:everybody@acfr.usyd.edu.au
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=students@a
 cfr.usyd.edu.au:mailto:students@acfr.usyd.edu.au
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=_Engineeri
 ng AMME HDRs:mailto:_EngineeringAMMEHDRs@sydney.edu.au
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=_Engineeri
 ng AMME Research:mailto:_EngineeringAMMEResearch@sydney.edu.au
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=_Engineeri
 ng AMME Academics:mailto:_EngineeringAMMEAcademics@sydney.edu.au
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=Milan Tomy
 :mailto:milan.tomy@sydney.edu.au
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=Salah Sukk
 arieh:mailto:salah.sukkarieh@sydney.edu.au
DESCRIPTION;LANGUAGE=en-US:Faculty of Engineering\n\n\nPhD Thesis Public Pr
 esentation\n[https://d31hzlhk6di2h5.cloudfront.net/20260505/44/a0/ac/85/83
 de99ae1318da0add393c81.png]\n[https://d31hzlhk6di2h5.cloudfront.net/202605
 05/42/ec/a6/5b/4d1562c49d2410a9a5c23605.jpg]\n\nMilan Tomy will present he
 r thesis titled Integrating Non-Markovian Constraint Satisfaction in MCTS 
 for Haul-Truck Dispatch Under Operational Constraints.\n\nPlease join us i
 n recognising this significant milestone in Milan’s academic journey and
  celebrating her sustained commitment and extensive research in this field
 .\n\nDate:       Tuesday\, 12 May 2026\n\nTime:       08:00 AM (AEDT). *Li
 ght breakfast will be served\n\nVenue:     ACFR Seminar Area J04\, Level 2
  Seminar Room (Rose Street Building<https://url.au.m.mimecastprotect.com/s
 /vzpLC2xMQziRx4N8wimUjU5fI1l?domain=t.e2ma.net>)\n\nOnline:    https://uni
 -sydney.zoom.us/j/83901112732?from=addon<https://url.au.m.mimecastprotect.
 com/s/hGt0C3QNPBiG8P52QC8cyUQJYjR?domain=t.e2ma.net>\nAbstract:\n\n\nOpera
 tional constraint satisfaction in haul-truck dispatch planning is essentia
 l for ensuring safety\, equipment longevity\, and continuous production at
  mine sites. Many operational constraints are non-Markovian\, as they depe
 nd on execution history and anticipated future system evolution to ensure 
 feasibility. In practice\, such constraints are often handled outside the 
 dispatch optimisation process using heuristic controllers or human interve
 ntion. Monte Carlo Tree Search (MCTS) has emerged as an adaptable approxim
 ate approach for large-scale haul-truck dispatch optimisation. However\, s
 atisfying non-Markovian constraints within MCTS is challenging due to inco
 mplete tree exploration and uncertain future violation estimates. To addre
 ss these challenges\, this thesis investigates opportunity-cost-based and 
 robustness-based violation measures\, together with algorithms for balanci
 ng exploration\, exploitation\, and constraint satisfaction in MCTS. The p
 roposed non-Markovian constrained MCTS planners are evaluated in simulated
  mining domains of increasing complexity and constraint interdependence. R
 esults demonstrate the potential of constrained MCTS methods for adaptable
  non-Markovian constraint handling under dynamic operational conditions.\n
 \nBio:\n\n\nMilan is a PhD researcher with the Rio Tinto Sydney Innovation
  Hub at the University of Sydney\, undertaking her PhD in the School of Ae
 rospace\, Mechanical and Mechatronic Engineering (AMME)\, working on const
 rained planning algorithms. She completed her MSc in Robotics at the Unive
 rsity of Birmingham and her BTech in Electronics and Communication Enginee
 ring at National Institute of Technology Calicut\, India. Her research int
 erests include task planning and decision-making under uncertainty. Her wo
 rk spans applications in mining logistics\, robotics\, epidemiological mod
 elling\, and power signal analysis.\n[https://d31hzlhk6di2h5.cloudfront.ne
 t/20260505/2e/8d/c7/1c/1c70baef8b350e3840963efe.png]\n\n[Web Site]<https:/
 /url.au.m.mimecastprotect.com/s/7r7nC4QOPEimjnpl1i8f7U4AwBK?domain=t.e2ma.
 net>\n[LinkedIn]<https://url.au.m.mimecastprotect.com/s/HYaHC5QPXJixnzV6Gt
 3hNUkXc9G?domain=t.e2ma.net>\n[X]<https://url.au.m.mimecastprotect.com/s/q
 Py4C6XQ4Lf13gnyKt1irU5NZdP?domain=t.e2ma.net>\n[YouTube]<https://url.au.m.
 mimecastprotect.com/s/ndn-C71R2NTQP0OZki5sAUon35T?domain=t.e2ma.net>\n\nCo
 pyright © 2026\n\nThe University of Sydney\n\nPlease add acfr.admin@sydne
 y.edu.au<mailto:acfr.admin@sydney.edu.au> to your address book or senders 
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SUMMARY;LANGUAGE=en-US:PhD Oral Thesis Defence: Milan Tomy
DTSTART;TZID=AUS Eastern Standard Time:20260512T080000
DTEND;TZID=AUS Eastern Standard Time:20260512T090000
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20260506T041302Z
TRANSP:OPAQUE
STATUS:CONFIRMED
SEQUENCE:0
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