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Nikos at 14:15, 27 August 2025

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2024-01-26T01:17:46Z

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← Older revision		Revision as of 14:15, 27 August 2025
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	== Announcements ==		== Announcements ==

−	CRTC's new initiative, [https://www.linkedin.com/posts/nikos-chrisochoides-73469186_quantumcomputing-qis-aiineducation-activity-7366463856040181761-WKv5 A Quantum-Ready Workforce through AI-Powered Personalized Learning], ~~introduces~~ a ~~novel, AI-driven~~ educational ~~framework~~. ~~This initiative proposes~~ a personalized~~, adaptive~~ learning ~~environment designed~~ to ~~guide students from high school~~ through ~~graduate levels~~, ~~helping them progress from basic concepts to practical~~, ~~workforce-relevant skills~~.	+	CRTC's new initiative, [https://www.linkedin.com/posts/nikos-chrisochoides-73469186_quantumcomputing-qis-aiineducation-activity-7366463856040181761-WKv5 A Quantum-Ready Workforce through AI-Powered Personalized Learning], aims to prepare students for the quantum workforce.
		+
		+	At the heart of this project is an intelligent tutoring system—an "AI agent"—that facilitates a "choose your own adventure" style curriculum. This allows the educational journey to be tailored to each student's unique learning pace and interests. The project's success is built upon the following synergistic pillars:
		+
		+	* '''AI Architecture:''' Developing a multi-agent AI system to generate personalized learning pathways.
		+	* '''Sustainable Pipeline:''' Building a "lab-to-workforce" pipeline through strategic partnerships and deploying a scalable, project-based "Quantum Translator" module.
		+
		+	For more details, see the original paper: [https://arxiv.org/abs/2504.18603 arXiv:2504.18603]

← Older revision		Revision as of 14:10, 27 August 2025
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	== Announcements ==		== Announcements ==
		+
		+	CRTC's new initiative, [https://www.linkedin.com/posts/nikos-chrisochoides-73469186_quantumcomputing-qis-aiineducation-activity-7366463856040181761-WKv5 A Quantum-Ready Workforce through AI-Powered Personalized Learning], introduces a novel, AI-driven educational framework. This initiative proposes a personalized, adaptive learning environment designed to guide students from high school through graduate levels, helping them progress from basic concepts to practical, workforce-relevant skills.
		+

	''' Professor Chrisochoides will be teaching (Fall’23) a new class on Quantum Computing; for more details, see [[https://crtc.cs.odu.edu/images/8/85/CS495-595_on_QC.png here.]]		''' Professor Chrisochoides will be teaching (Fall’23) a new class on Quantum Computing; for more details, see [[https://crtc.cs.odu.edu/images/8/85/CS495-595_on_QC.png here.]]

@@ Line 5: / Line 5: @@
 == Announcements ==
-''' Professor Chrisochoides will be teaching (Fall’23) a new class on Quantum Computing; for more details, see [[https://crtc.cs.odu.edu/images/8/85/CS495-595_on_QC.png   here.]]'''
+''' Professor Chrisochoides will be teaching (Fall’23) a new class on Quantum Computing; for more details, see [[https://crtc.cs.odu.edu/images/8/85/CS495-595_on_QC.png   here.]]
 === Congratulations to Dr. Thomadakis===

@@ Line 5: / Line 5: @@
 == Announcements ==
-''' Professor Chrisochoides will be teaching (Fall’23) a new class on Quantum Computing; for more details, see [[https://crtc.cs.odu.edu/File:CS495-595_on_QC.png  here.]]'''
+''' Professor Chrisochoides will be teaching (Fall’23) a new class on Quantum Computing; for more details, see [[https://crtc.cs.odu.edu/images/8/85/CS495-595_on_QC.png   here.]]'''
 === Congratulations to Dr. Thomadakis===

@@ Line 5: / Line 5: @@
 == Announcements ==
-''' Professor Chrisochoides will be teaching (Fall’23) a new class on Quantum Computing; for more details, see [[https://crtc.cs.odu.edu/images/8/85/CS495-595_on_QC.png here.]]'''
+''' Professor Chrisochoides will be teaching (Fall’23) a new class on Quantum Computing; for more details, see [[https://crtc.cs.odu.edu/File:CS495-595_on_QC.png  here.]]'''
 === Congratulations to Dr. Thomadakis===

@@ Line 19: / Line 19: @@
 These accomplishments would not have been possible without the small investment from Jefferson Lab ($100K) and the Richard T. Cheng Endowment ($50K), as well as the help of many others, including the Dragas Foundation, which has assisted Olga Karadimou, an exceptional Ph.D. student at ODU, in staying at ODU with Polykarpos.
- === Protein-to-Protein Interactions ===
+=== Protein-to-Protein Interactions ===
 Progress on protein-to-protein interactions using geometric feature analysis:  [[COVID-19]].

@@ Line 5: / Line 5: @@
 == Announcements ==
-* Professor Chrisochoides will be teaching a new class on Quantum Computing; for more details, see here.
+'''Professor Chrisochoides will be teaching a new class on Quantum Computing; for more details, see here.'''
 === Congratulations to Dr. Thomadakis===
@@ Line 13: / Line 13: @@
 The AI part of his PhD work ([https://crtc.cs.odu.edu/pub/html_output/details.php?&title=De-noising%20drift%20chambers%20in%20CLAS12%20using%20convolutional%20auto%20encoders&paper_type=2&from=year] [https://crtc.cs.odu.edu/pub/html_output/details.php?&title=Using%20Machine%20Learning%20for%20Particle%20Track%20Identification%20in%20the%20CLAS12%20Detector&paper_type=2&from=year] [https://crtc.cs.odu.edu/pub/html_output/details.php?&title=Track%20Identification%20for%20CLAS12%20using%20Artificial%20Intelligence&paper_type=1&from=year]) was completed in collaboration with [https://www.linkedin.com/in/gagik-gavalian-55926725/ Dr. Gagik Gavalian] from [https://www.jlab.org/ Jefferson Lab] and other former members of the [https://crtc.cs.odu.edu/Main_Page CRTC], including current member Kevin Garner. '''Some of the findings from his research is projected to have a significant impact over the next decade, with a value of approximately $100 million.'''
-These results were confirmed by Nuclear Physicists in a [https://www.odu.edu/article/ai-collaboration-between-odu-jefferson-lab-improves-data-analysis recent article], and Dr. Gavalian presented the findings in [https://indico.jlab.org/event/459/contributions/11745/attachments/9491/13757/CHEP-05-2023-Gavalian.pdf CHEP'23]. [https://www.odu.edu/directory/lawrence-weinstein Dr. Lawrence Weinstein], an ODU Eminent Scholar, professor of physics, and past chair of the Jefferson Lab Users Organization, acknowledged in a recent article ([https://www.odu.edu/article/ai-collaboration-between-odu-jefferson-lab-improves-data-analysis]) that the project has improved particle trajectory reconstruction, resulting in a 35% increase in the number of reconstructed complicated nuclear collisions. This means that "more physics from the same data" is possible, which would have otherwise cost about $5 million per year. Dr. Gavalian's new results show that there has been an increase in statistics for physics observables from 35% to  approximately 50-80% by adding the AI-based denoising ([https://crtc.cs.odu.edu/pub/html_output/details.php?&title=De-noising%20drift%20chambers%20in%20CLAS12%20using%20convolutional%20auto%20encoders&paper_type=2&from=year] ) of the data in the workflow, which adds another $5M per year to the earlier estimate by Dr. Weinstein.
+Nuclear Physicists confirmed these results in a [https://www.odu.edu/article/ai-collaboration-between-odu-jefferson-lab-improves-data-analysis recent article], and Dr. Gavalian presented the findings in [https://indico.jlab.org/event/459/contributions/11745/attachments/9491/13757/CHEP-05-2023-Gavalian.pdf CHEP'23]. [https://www.odu.edu/directory/lawrence-weinstein Dr. Lawrence Weinstein], an ODU Eminent Scholar, professor of physics, and past chair of the Jefferson Lab Users Organization acknowledged in a recent article ([https://www.odu.edu/article/ai-collaboration-between-odu-jefferson-lab-improves-data-analysis]) that the project has improved particle trajectory reconstruction, resulting in a 35% increase in the number of reconstructed complicated nuclear collisions. This means that "more physics from the same data" is possible, which would have otherwise cost about $5 million per year. Dr. Gavalian's new results show that there has been an increase in statistics for physics observables from 35% to approximately 50-80% by adding the AI-based denoising ([https://crtc.cs.odu.edu/pub/html_output/details.php?&title=De-noising%20drift%20chambers%20in%20CLAS12%20using%20convolutional%20auto%20encoders&paper_type=2&from=year] ) of the data in the workflow, which adds another $5M per year to the earlier estimate by Dr. Weinstein.
 Next, Dr. Gagik will be looking into applying lessons learned to other Jefferson Lab Halls (sensors) and we will be putting this AI work on “steroids” using scalable D-NISQ Quantum Machine Learning. Our preliminary results ([https://crtc.cs.odu.edu/pub/html_output/details.php?&title=Evaluation%20of%20Scalable%20Quantum%20and%20Classical%20Machine%20Learning%20for%20Particle%20Tracking%20Classification%20in%20Nuclear%20Physics&paper_type=1&from=year] [https://crtc.cs.odu.edu/pub/html_output/details.php?&title=Scalable%20Quantum%20Edge%20Detection%20Method%20for%20D-NISQ%20Imaging%20Simulations:%20Use%20Cases%20from%20Nuclear%20Physics%20and%20Medical%20Image%20Computing&paper_type=1&from=year]) in Quantum Computing indicate that this is feasible.
@@ Line 19: / Line 19: @@
 These accomplishments would not have been possible without the small investment from Jefferson Lab ($100K) and the Richard T. Cheng Endowment ($50K), as well as the help of many others, including the Dragas Foundation, which has assisted Olga Karadimou, an exceptional Ph.D. student at ODU, in staying at ODU with Polykarpos.
-=== Protein-to-Protein Interactions ===
+ === Protein-to-Protein Interactions ===
 Progress on protein-to-protein interactions using geometric feature analysis:  [[COVID-19]].
-A slideshows of Molecular Geometric Feature Analysis for SARS-CoV-2:  click [[Molecular Geometric Feature Analysis | here]].
+A slideshow of Molecular Geometric Feature Analysis for SARS-CoV-2:  click [[Molecular Geometric Feature Analysis | here]].
 == Introduction ==