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How America’s Elite CS Theory PhD Programs Are Producing the Researchers Who Will Define the Next Decade of AI

May 2, 2026

The Water Cost of AI: The Hidden Environmental Toll of Training Large Language Models

May 1, 2026

At ‘AI Coachella,’ Stanford Students Line Up to Learn From Silicon Valley Royalty

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Home » Disclaimer

Disclaimer

Mahdi Cheraghchi’s personal academic website is called Cheraghchi.info. This website’s content, including research papers, preprints, manuscripts, technical writings, opinions, and commentary, is entirely his own. The National Science Foundation, Imperial College London, the University of Michigan, and any other organization, employer, funder, or affiliated group do not endorse, support, or hold any official position on this website.

Academic Content and Research
This website makes research papers, preprints, and manuscripts accessible for scholarly and instructional purposes. Research findings are subject to revision, correction, and peer review even though every attempt is made to ensure accuracy. The final published versions of preprints and manuscripts may be different from those posted here. For reference and citation purposes, readers should refer to the official published versions. A paper is not endorsed by any journal, conference, or publisher just because it appears on this website.

No Expert Guidance
This website does not provide any legal, financial, investment, medical, or other professional advice. Applications in communications, cryptography, data security, and computer systems are the subject of theoretical and scholarly research discussions. They shouldn’t be used as a guide when making operational, financial, or commercial decisions. A qualified professional should be consulted by readers who need professional advice.

Disclosure of Finances
Under grants NSF CCF-2107345 and NSF CCF-2006455, the US National Science Foundation provided partial funding for research carried out and published through this website. This funding does not constitute a financial stake in any commercial product, business, or technology; rather, it solely supports academic research activities.
This website doesn’t accept sponsored content, run advertisements, or get paid for highlighting, endorsing, or linking to any goods, services, or businesses. Any external links are not endorsements or commercial relationships; they are only included for academic reference and convenience.
Any business or product that may be discussed or cited in research published on this website has no financial stake in the author and is not compensated by them. Any significant changes to this will be made publicly known.

External Links
Links to third-party websites, such as academic databases, publishers, and institutional pages, may be found on this website. Cheraghchi.info has no control over the content, accuracy, or privacy practices of external websites and takes no responsibility for them; these links are merely for reference.

Intellectual Property
Unless otherwise noted, all original content on this website, including writings, descriptions, and site structure, belongs to Mahdi Cheraghchi. Co-authored research papers are the collective intellectual property of all listed authors. The respective journals or publishers may own the copyright to published papers; readers should refer to the specific publication pages for licensing terms.

Institutional Affiliation
The research on this site is conducted at the EECS Department, University of Michigan, Ann Arbor. Prior research was carried out at Imperial College London, the Simons Institute for the Theory of Computing (UC Berkeley), MIT CSAIL, Carnegie Mellon University, and the University of Texas at Austin.

Contact and Profiles
Email: mahdich@umich.edu
ORCID: 0000-0001-8957-0306
Scopus Author ID: 35112994100
ResearcherID: N-1367-2015

Research

How America’s Elite CS Theory PhD Programs Are Producing the Researchers Who Will Define the Next Decade of AI

contact@samadtech.comMay 2, 2026

Every Tuesday afternoon, the scene on the fourth floor of MIT’s Stata Center is consistently…

The Water Cost of AI: The Hidden Environmental Toll of Training Large Language Models

May 1, 2026

At ‘AI Coachella,’ Stanford Students Line Up to Learn From Silicon Valley Royalty

May 1, 2026
Most Popular

How America’s Elite CS Theory PhD Programs Are Producing the Researchers Who Will Define the Next Decade of AI

May 2, 20260 Views

The Water Cost of AI: The Hidden Environmental Toll of Training Large Language Models

May 1, 20260 Views

At ‘AI Coachella,’ Stanford Students Line Up to Learn From Silicon Valley Royalty

May 1, 20260 Views
About
About

The research published here sits at the boundary of theoretical computer science, coding theory, information theory, and cryptography. The central questions driving this work are mathematical in nature: what are the fundamental limits of reliable communication over noisy channels? How much information can be protected against adversarial tampering? How can high-dimensional sparse signals be recovered from few measurements? How does randomness help — or hinder — efficient computation?
These questions matter both as deep mathematical problems and as foundations for practical systems in data storage, communications, privacy, and security.

Discalimer

This website makes research papers, preprints, and manuscripts accessible for scholarly and instructional purposes. Research findings are subject to revision, correction, and peer review even though every attempt is made to ensure accuracy. The final published versions of preprints and manuscripts may be different from those posted here. For reference and citation purposes, readers should refer to the official published versions. A paper is not endorsed by any journal, conference, or publisher just because it appears on this website.

No Expert Guidance
This website does not provide any legal, financial, investment, medical, or other professional advice. Applications in communications, cryptography, data security, and computer systems are the subject of theoretical and scholarly research discussions. They shouldn’t be used as a guide when making operational, financial, or commercial decisions. A qualified professional should be consulted by readers who need professional advice.

Disclosure of Finances
Under grants NSF CCF-2107345 and NSF CCF-2006455, the US National Science Foundation provided partial funding for research carried out and published through this website. This funding does not constitute a financial stake in any commercial product, business, or technology; rather, it solely supports academic research activities.
This website doesn’t accept sponsored content, run advertisements, or get paid for highlighting, endorsing, or linking to any goods, services, or businesses. Any external links are not endorsements or commercial relationships; they are only included for academic reference and convenience.
Any business or product that may be discussed or cited in research published on this website has no financial stake in the author and is not compensated by them. Any significant changes to this will be made publicly known.

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