Simos Gerasimou

CS Associate Professor @ University of York, UK. 'I have no special talent, I am only passionately curious'

[SEAMS @SEAMSconf]

📢SEAMS 2026 CfP🚀
Join us at the 21st International Conference on Software Engineering for Adaptive and Self-Managing Systems

📅 Key Deadlines
Abstract: 16 October 2025
Submission: 23 October 2025

🎯https://t.co/ZnvQ2be0G3

#SEAMS2026 #SoftwareEngineering #AI #AdaptiveSystems

[SEAMS @SEAMSconf]

🚨Call for Self-Nominations!🚨

Want to shape the future of self-adaptive systems?

Declare your interest in joining the SEAMS 2026 Program Committee!🧠🤖

📌Deadline: June 17 2025

🔗Apply now: https://t.co/KvWphc56xs

#SEAMS2026 #AutonomousSystems #SoftwareEngineering #ICSE2026

[WAISE - AI Safety @WAISE_AIsafety]

🎯#WAISE2025 is looking forward to your contributions on all things related to AI Safety.

We highly encourage topics related to using #GenAI/#LLMs in engineering safety-critical systems and #LLM #safety.

📆Submission: May 14
📆Notification: June 4

ℹ️ https://t.co/wNvItbS9G2

[Simos Gerasimou @simosgerasimou]

@JinqiuYang That's hard (and hard to believe) - there is the SE 4 AI topic (in AI and Software Engineering), which should render the work quite relevant...🧐

[Simos Gerasimou @simosgerasimou]

Having finished my @ASE_conf reviews, I can commend the very interesting research carried out by the community 🏆🔊🎉

My scores 5,5,1,2,4,3,2,1,5,5,1 (for LLM/ViT use - not the actual scores) evidence the foundational models storm.📕🌪️

[Simos Gerasimou @simosgerasimou]

@erik_fredericks @github @arxiv Sure-but, IMHO, in parallel we (as reviewers) should not start a witch-hunt game, trying to identify the authors by checking the source code or Google/Arxiv for a paper pre-print or any author revealling data.

Afterall, the aim is to reduce reviewing bias not to be Sherlocks🔍😃

[Simos Gerasimou @simosgerasimou]

Question for PC/Area #Chairs: When reviewing a double-blind paper, do you consider an *anonymous* @Github repository with 1-2 source-code files containing the author(s) name (e.g., X.Y) to violate the double-blind rule? If so, how is this different from the paper being on #Arxiv?

[Simos Gerasimou @simosgerasimou]

@erik_fredericks @github Agree; but how is searching the source code of a paper to check if there is a remnant author identification element different from searching if the paper is on @Arxiv? Note: the latter is permitted by all major CS conferences. I am asking for a friend :)

[Dimitris Kolovos @kolovos]

Join us @UoY_CS and Leonardo UK in a Knowledge Transfer Partnership on model-based software engineering for complex systems of systems! Deadline for applications: June 4. https://t.co/1GytjVfWo6 https://t.co/iNgOfnoFa4 @simosgerasimou @antoniogado

[WAISE - AI Safety @WAISE_AIsafety]

📢Following many requests, the #WAISE24 submission deadline has been extended🤖
🌐https://t.co/BKRFDIbA57
🗓️ Submission: May 12
🗓️ Notification: June 3

Please submit your contributions on all things related to Safe AI, AI for Safety Engineering, Foundational models, LLMs 🔥 etc

[WAISE - AI Safety @WAISE_AIsafety]

#WAISE24 is back for its 7th edition 🤖🦺🪖

We look forward to your contributions on topics related to Safe AI and AI for Safety Engineering, Foundational models, LLMs 🔥 etc.
🌐https://t.co/wNvItbS9G2
🗓️ Submission: May 5
🗓️ Notification: May 31
🗓️ Event: Sept 17

(RTs welcome)

[Guido Salvaneschi @guidosalva]

Please retweet :)
Fully funded PhD position - Programming Group, Univ. of St.Gallen, Switzerland
The Programming Group: https://t.co/JmQwRJMayM
Application page: https://t.co/pNs9kXc1tE
The position will be filled as soon as a suitable candidate is found.

[Simos Gerasimou @simosgerasimou]

🆕💡🏮Research Opportunity #hiring - Three (3) PostDoc/Senior PosDoc positions in #trustworthyai for AI-driven Autonomous Systems @UoY_CS @UniOfYork

Duration ⏲: up to 31st December 2026
Deadline 🗓:23 February 2024

https://t.co/IPCaIehzAs
https://t.co/JY7RYnqaXN
(RTs welcome)

[UoY Computer Science @UoY_CS]

Thinking about a PhD in Robotics? Join ALBERT - a multidisciplinary CDT in Autonomous Robotic Systems. Visit the web pages: https://t.co/6uhuIGJHSv. Watch presentations about the projects: https://t.co/HfmNa3Ltsr. Closes 5 Jan 2024.
#phdopportunities #robotics #universityofyork

[Ivano Malavolta @IMalavolta]

📢 Friendly Reminder 🤖🧠:
Have you heard about our special issue on Robotics Software Engineering in the Robotics and AI Frontiers journal? We're eagerly awaiting your submissions, open until November 30, 2023! 📝🚀

Catch up on the details here: 👉 https://t.co/ov28b2tF6u

[Simos Gerasimou @simosgerasimou]

If you missed our #ASE2023 NIER presentation on "Semantic Data Augmentation for Deep Learning Testing using Generative AI" 💭🆕🕸️ @ASE_conf you can find the details at https://t.co/iqX5o6Hmi3

[Simos Gerasimou @simosgerasimou]

Thanks for your kind words @predict_addict. Indeed, MC-CP, as a hybrid UQ method, brings the best of the two. Despite its simplicity, it yields robust prediction sets/intervals by exploiting the statistical efficiency of MC dropout & CP's distribution-free coverage guarantees🚀🔥

[Valeriy M., PhD, MBA, CQF @predict_addict]

Conformal Prediction + Monte Carlo is absolute 🔥🔥🔥🔥🔥. Finally researchers applied conformal prediction to Monte Carlo to revive popular method to be fit for the XXIst century and it is shaping to be an absolute 🚀🚀🚀🚀🚀.

A nice start of the week with release of what looks like very impressive #conformalprediction paper by a team of researchers (Daniel Bethell, @simosgerasimou and Radu Calinescu).

I have been saying for long time 🕰️ that uncertainty quantification methods based on Monte Carlo dropout are non performant in terms of coverage, so it is great to see conformal prediction applied to Monte Carlo to correct its issues.

This work is great and has all the hallmarks to become very popular method, remember Conformalized Quantile Regression invented by @yaniv_romano that also combined classical method such as Quantile Regression with CP resulting in absolute blockbuster of a model.

The new model Monte Carlo-Conformal Prediction (MC-CP) looks like an awesome idea 💡 and delivers improvements both in classification and regression tasks.

💠 ingenious cross breed hybrid idea to combine Monte Carlo with conformal prediction

💠 adaptively modulates traditional MC dropout at run time to save memory and computational resources

💠 unlike the original MC dropout, MC-CP delivers robust prediction sets and intervals

💠 significant improvement on SOTA methods including not only MC dropout but also some of the current conformal methods such as RAPS by @ml_angelopoulos and CQR

💠 Boosts accuracy in the process whilst delivering robust prediction sets and intervals

💠 Delivers even more confident CP predictions

💠 Highest accuracy across classes, whether it is bird 🦅 cat 🐱 deer 🦌 dog 🐶 frog 🐸 ship ⛴️ automobile 🚗 or horse 🐎 MC-CP outperformed against other methods.

This paper and methods looks very impressive and if the benefits are confirmed in large scale studies is shaping to be another potential blockbuster conformal prediction model.

https://t.co/DBxw4stgzW

Great work by the team from @UniOfYork

#conformalprediction #machinelearning

[Liliana Pasquale @liliana118]

Want to contribute to @SEAMSconf ?
Xiaoxing Ma and I (SEAMS 2024 PC Co-Chairs) seek motivated researchers to serve in the conference PC. Please, fill out this form (https://t.co/QAjrGcJHtu) if interested and/or spread the word!

[Simos Gerasimou @simosgerasimou]

@andwor Surely, you could have a ChatGPT-generated review :)
The expected response times for reviews and proposals are becoming unmanageable/unrealistic!

[Dimitris Kolovos @kolovos]

A full scholarship for a PhD on Domain-Specific Languages for Collaborative Human-Robot Laboratory Experiments is now available @UoY_CS, co-supervised with @simosgerasimou. Deadline: May 4 https://t.co/AGldy6Aod6 #PhDposition