Gaurav Mittal

Gaurav Mittal is a cybersecurity, data science, and IT expert with two decades of experience leading high-performing teams in cloud computing, machine learning, and data security. A thought leader in AI and automation, Mittal has published articles on optimizing ML deployment, securing email communications, and automating workflows. Mittal is an AWS-certified cloud practitioner and a Lean Six Sigma-certified professional.

October 3, 2026

Editor's Choice/Education/Human Rights

Inside Cornell’s Rape Crisis

The alleged group rape of a Cornell University student has become one of the most serious scandals in the 161-year history of the elite New York institution, while also exposing a legal

Geopolitics/History

Germany’s Stolen Revolution

The Alternative for Germany (AfD) has claimed the language of East Germany’s peaceful revolution as its own after its record result in Saxony-Anhalt, reopening an old dispute among former civil-rights activists over what the events of 1989 were meant to

October 3, 2026

US Arrests California Tech Executive in Alleged $300 Million Nvidia Server Smuggling Scheme

Business

US authorities have arrested a California technology company owner accused of orchestrating almost US$300 million in sales of export-controlled Nvidia AI servers to China

G20 Divided Over US Push to Curb Excess Industrial Capacity

Business

G20 trade ministers have failed to reach broad agreement on a US proposal to address excess industrial capacity and “non-market” economic policies, exposing divisions

Protect Your Inbox: How to Avoid Email and Text Scams

September 10, 2025

Columns/Human Rights

In today’s world, protecting your personal information feels like an uphill battle. With the rise of sophisticated email and text scams, it’s no wonder that many of us are worried about our

How to Balance AI’s Potential and Ethical Challenges?

April 24, 2025

Artificial Intelligence

Artificial intelligence is transforming industries by automating processes, improving efficiency, and detecting patterns that humans might miss. However, as AI continues to evolve, so do the challenges associated with its implementation. Issues such as data