Arun Kumar is an Editor-at-Large at The American Bazaar. He covers a range of topics, including government and politics, education management, and science, with a focus on elections, public policy, and campus life. His work has been featured in prominent outlets such as NewsClick.in, LiveMint, and CNN-News18.
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India (National)
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Arun Kumar's coverage predominantly focuses on government and politics, with a significant emphasis on Indian American news and appointments. Given this focus, he may be particularly interested in pitches related to political developments, public appointments, and issues relating to the Indian American community.
Arun also covers education-related topics, so if you have expertise or insights into educational policies or institutions within India or relevant to the Indian-American community, these could form the basis of a compelling pitch.
Considering his specific geographic focus is not mentioned but given his coverage of Indian-American news and domestic Indian politics, it would be beneficial for pitches to align with these areas.
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Indian American tech leader tasked with building the world's largest compute infrastructure for frontier Al models.
By: České Budějovice, Bharati Vidyapeeth, Arun Kumar
Deep neural networks often suffer significant accuracy degradation when exposed to real-world image corruptions and distribution shifts.
By: Brahmini, Greeshma, Arun Kumar, Gargi, Sharma
The adoption of robotic-assisted surgery (RAS) for rectal cancer is governed by a steep learning curve (LC). This systematic review evaluates the "Price of Proficiency" by comparing RAS to conventional laparoscopic surgery (CLS) across temporal, oncological, and ergonomic dimensions. A systematic search of PubMed, Embase, and Scopus (2014–2026) identified 24 studies utilizing Cumulative Sum (CUSUM) or Risk-Adjusted CUSUM (RA-CUSUM) modeling. Methodological quality was appraised using MINORS and Cochrane RoB 2.0 tools. Synthesis of >3,500 procedures revealed a triphasic LC. Phase I (Learning: cases 1–25) demonstrated high operative times but remarkably low conversion rates (1.0%–3.2%) compared to historical CLS averages (12.2%– 15.0%). Technical proficiency (Phase II) stabilized by case 35, while Phase III (Mastery: >50 cases) was characterized by "Complexity Drift," where surgeons tackled high-BMI and post-radiation cases without compromising outcomes. Oncological quality, including TME completeness (91.9%–97.0%) and CRM negativity, remained stable throughout all LC phases. Mastery was associated with higher nodal yield and an increased likelihood of achieving a “Textbook Outcome”. The robotic platform decouples procedural speed from surgical safety, providing an immediate “safety net” that protects oncological integrity during the initial learning phase. While RAS requires a significant temporal investment, its superior ergonomics and lower conversion rates support its transition as the standard for minimally invasive rectal cancer resection.
Experienced Indian American physician leader brings a strong track record in quality, safety and physician engagement.
Explore India's trade challenges with the U.S. and China, highlighting technology gaps and economic dependencies impacting growth.
By: Arun Kumar
Share it Raymond Red's Manila's Finest opens in 1969 as Captain Homer Magtibay and his fellow Manila police officers patrol the city on the
Indian American professor’s research is designed to help AI better understand and combine different types of data.
Indian American researcher studying how to manage contaminants in Long Island’s groundwater and the Hudson River Estuary.
By: Arun Kumar
Indian American physician educator leads both pathology and dermatology departments to advance innovations in clinical care.
By: Arun Kumar
Indian American investigative reporter for NBC 5 Responds has helped viewers recover more than $1 million.
