Alan Mannoosseril

766 posts

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Alan Mannoosseril

Alan Mannoosseril

@ialandm

An Oneironaut! PhD Research Student @UofGlasgow , MSc-Aerospace Engineering. (2022) @SwanseaUni , B.Tech-Aerospace Engineering (2020) @iiest_s

Glasgow, Scotland Katılım Mayıs 2014
138 Takip Edilen108 Takipçiler
Alan Mannoosseril
Alan Mannoosseril@ialandm·
@PHDcomics Maybe we should add a small constant term to Food so the model avoids degeneracy. Like an infinitely relevant seminar without any catering. 😆
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PHD Comics
PHD Comics@PHDcomics·
Seminar Appeal
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Alan Mannoosseril
Alan Mannoosseril@ialandm·
SCOPE – Search for Careers and Opportunities that value PhD Experience, event is back with industry reps from GSK, Rolls-Royce, Chemify Limited, Spirit AeroSystems, Mott MacDonald & more... 📅 Limited spaces – open to @UofGSciEngGrads PGRs at @UofGlasgow 🔗 Register by 21st Feb.
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Met Office
Met Office@metoffice·
The low pressure named #StormÉowyn currently has a central air pressure of 1001hPa, but this is expected to drop by 62hPa in the next 30 hours 👀 This is known as explosive cyclogenesis or a weather bomb and will bring damaging winds to some areas on Friday ⚠️
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Alan Mannoosseril
Alan Mannoosseril@ialandm·
Deep admiration for @DrAllyLouks and her transformative thesis, shedding light on how something as overlooked as smell holds the power to challenge norms and spark change. Truth feels stranger than fiction, but only those who've never felt its weight dismiss it as fantasy. 🙇
Dr Ally Louks@DrAllyLouks

Since there is some confusion about the nature of my research, here is the abstract for my PhD thesis, which I hope will provide more context for anyone interested in learning more about my work!

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SciEng Grad School
SciEng Grad School@UofGSciEngGrads·
Meet Science Slam presenter #5 @ialandm ! His research is on data-driven uncertainty quantification methods, and using probabilistic and computational mechanics and random matrices to conquer the unknown! Join us to find out what this means! Tickets - tinyurl.com/5n8pbs5k
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Alan Mannoosseril
Alan Mannoosseril@ialandm·
@bdsqlsz Can you create a movie matrix style transition where numbers turn into a real aircraft flying in air.
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青龍聖者
青龍聖者@bdsqlsz·
2.5d...
Marsonal@revmarsonal

@bdsqlsz Can you try anime girl with yellow hair and beautiful face riding a camel in the middle of the desert in front of Pyramids?

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Sanjeev Sharma
Sanjeev Sharma@sanjeevs_iitr·
Autonomous driving through extremely-tight-dynamic environments with complex, stochastic, and adversarial traffic-dynamics, or simply through an absolute chaos, on sub-urban unstructured roads in India. This kind of traffic and environment has never been attempted in the history of #autonomousdriving. There were no traffic-rules to abide by on this road, other than to perform a left-sided avoidance, if the other obstacles follow the same, else the vehicle will have to change its plan in a stochastic manner, in several of the adversarial multi-agent negotiation settings encountered throughout the autonomous navigation. This demos tested our motion planning and decision making framework to its limits, showcasing its robustness in negotiating such traffic-dynamics with ease. This demo was done on mostly a very narrow road, suited mostly for one-way navigation, but as is customary in India, bidirectional traffic is active on such narrow roads. It can be seen throughout navigation that the incoming vehicles didn't allow any gaps for our #AutonomousVehicles, forcing it to negotiate passively-aggressively its own path through the chaos. Furthermore, obstacles overtaking us didn't follow any rules either, and zig-zagged and moved in crisscross fashion, challenging our motion and behaviour planning software, which negotiated all such scenarios with ease. There were only two points where our vehicle came to halt, when two girls on a two-wheeler didn't stop and just kept on navigating, despite our vehicle being closer to the narrow passage and it having the right of way, and despite a bike being parked over there by someone, making it a very challenging scenario both for the humans and for the decision making autonomous agent(s). This demo was done in the Awadhpuri area, on the Durga Mata road. This framework was last shown in relatively much sparser traffic in our Kankali Kali Mata demo last month. It is being scaled further with deep unsupervised and #reinforcementlearning , and in the coming weeks, it will play a critical role in our endeavour to solving the Level-4 autonomy problem by the end of the year. This kind of traffic negotiation has never been attempted by any autonomous driving company ever. While a 90-degree turn is usually discussed as a corner case in the West, our autonomous vehicle negotiated a blind 90-degree corner, with traffic, with ease. #deeplearning #MachineLearning @swaayatt
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Alan Mannoosseril
Alan Mannoosseril@ialandm·
71% of children believed it’s okay to be beaten up “for a reason”, having been taught its for “their own good” and “necessary” Blamed For Their Parents’ Poverty, 80% Of Marginalised Indian Children Experience Corporal Punishment In School indiaspend.com/blamed-for-the… via @IndiaSpend
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sophie
sophie@netcapgirl·
oppenheimer: how many sources did you cite for your special relativity paper? einstein: none
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Sreejith Panickar
Sreejith Panickar@PanickarS·
Did I just hear “അത്രേം പോകണ്ട"? 😂 What a day to showcase the knowledge, dedication, and perseverance of our brilliant brains! ❤️🇮🇳💪 #Chandrayaan3
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