youtu.be/6ylzgDInjRI?st… Well, here is my speech at VT graduate school's commencement 2023. It was such a fun experience and an honor! Also a good warm up for my return to stand-up comedy? :P

A doubly memorable day for Graduate Student of the Year and newly-minted Dr Mohannad Elhamod. He spoke @VTGradCommunity commencement and was hooded by his advisor Anuj Karpatne Virginia Tech Computer Science The Sanghani Center at Virginia Tech. Next chapter: clinical assistant professor Questrom School of Business, Boston University. 👏 🎉 #HokieGrad #VT23

Happy to announce that our paper "Discovering Novel Biological Traits from Images using Phylogeny-guided Neural Networks" has been accepted to #KDD23 ADS track (SIGKDD 2025). Thank you to all my collaborators at Imageomics Institute for the great success of this research! #ACMSIGKDD

I will be participating in the Technical Program Committee for the workshop on "Knowledge-Guided Machine Learning" at ECML PKDD 2023. Please, consider submitting your work to our workshop: kgml2023.github.io

🌟 Offering to collaborate and create a cool data-driven educational experience in your field lnkd.in/e6riuSFq🌟 Much potential in augmenting the learning experience in your class with AI/ML, whether it's physics, biology, or any other field.

I had the pleasure to be recently interviewed by MentorCruise and talk about my career path and what excites me as a teacher. You can find the full interview here: mentorcruise.com/blog/mohannad-… #mentoring #machinelearnig #dataanlytics #teaching

It was a lot of fun doing epidemiology with middle school students! Took me back to my childhood and also made me rethink my approach and skill to achieve communication.

"Can a specimen image be expressed as a DNA-like sequence?" It was a pleasure to present our work that answers this question at the #cv4animal workshop in conjunction with #cvpr2023 . I was fortunate to meet many researchers with interesting questions and passionate discussions.

Interested in knowing how machine learning can help discover species traits from images? Take a look at our #KDD2023 paper on using phylogeny-guided neural networks for discovering biological traits: video: lnkd.in/euvZuNk9 #kdd #biology #species #traits #deeplearning

Ph.D. student Arka Daw (Arka Daw) presented his collaborative work on "Mitigating Propagation Failures in PINNs using R3 Sampling" during a poster session at the #ICML2023 in Honolulu, Hawaii. Virginia Tech Computer Science The Sanghani Center at Virginia Tech Anuj Karpatne

A somewhat late announcement, but happy to share that I just started my new role as a Clinical Assistant Professor at Questrom School of Business, Boston University. Looking forward to an exciting time curating and exploring with students a new class on #LLMs and their impact on us. It is going to be fun!

Curious to learn how images in biology can be grounded with scientific knowledge? Mohannad Elhamod will be presenting the first Imageomics Institute paper at KDD 2023 on Phylogeny-guided NNs. If you are at KDD, stop by at 2 pm on Thursday in 102A to learn more! SIGKDD 2025 The Sanghani Center at Virginia Tech

Coming up at the #KDD2023 conference on Thursday, August 10 -- recent Virginia Tech Computer Science The Sanghani Center at Virginia Tech alum Mohannad Elhamod presents first Imageomics Institute paper. SIGKDD 2025 Anuj Karpatne

It was a pleasure presenting our Imageomics Institute work on "Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks" at SIGKDD 2025 #KDD2023, see the community's interest, and get feedback on the project's future direction! dl.acm.org/doi/10.1145/35…

A great pleasure attending SIGKDD 2025's session on The Impact of Large Language Models on Education! Thank you Johannes Gehrke and the panelists for the engaging and difficult conversation, and Madeleine Udell for your experience introducing ChatGPT into the classroom. #KDD2023

“We believe that you can wrestle with complicated ideas without being contaminated by them. We believe that you can actually survive being a little bit offended and that that’s actually a really good thing for all of us.” Part of @BariWeiss’ opening remarks at our first live

Though a while back, it was quite a pleasure to present our work on learning physics-guided neural networks at the The Alan Turing Institute. Looking forward to more opportunities for future collaborations! youtu.be/J3-uNQxd0D8?si…

Not joining ICML Conference this year? Check out this short video on our latest method for visualizing the loss landscapes of neutral nets, with applications in Knowledge-Guided ML (KGML) youtu.be/2YJ1Kw8giT8?si… #icml24 #losslandscapes #kgml #pinn #visualization #neuralnetworks #ml