Navaneeth Poonthottathil

Navaneeth Poonthottathil is an Assistant Professor in the Department of Physics at the Indian Institute of Technology Kanpur (IIT Kanpur), specializing in Experimental High Energy Physics with a focus on Neutrino Physics and Long-baseline neutrino experiments. His research contributes significantly to the Deep Underground Neutrino Experiment (DUNE) collaboration and related neutrino physics initiatives.

Dr. Poonthottathil earned his PhD from Cochin University of Science and Technology and Fermilab, followed by postgraduate studies at Cochin University of Science and Technology and undergraduate education at Kannur University. Prior to joining IIT Kanpur, he served as a Postdoctoral Research Associate at Iowa State University (2018-2022), Visiting Physicist at Brookhaven National Lab (2018), Adjunct Faculty at Kannur University (2017), and Visiting Scientist at Fermilab (2012-2016).

His research spans multiple areas of high energy physics with particular emphasis on neutrino interaction studies, vertex reconstruction techniques using deep learning, supernova neutrino detection capabilities, and long-baseline neutrino oscillation physics. He has also made contributions to cosmological research, particularly examining scalar field dominated models and dark energy phenomena. His methodological approach frequently integrates machine learning techniques with traditional particle physics analysis methods, demonstrating interdisciplinary innovation.

Analysis of his recent publications reveals a strong focus on the DUNE experiment, with significant contributions to detector performance, neutrino interaction measurements, and analysis techniques. His work spans both experimental and theoretical aspects, with publications in journals such as The European Physical Journal C, Physical Review D, and Journal of Cosmology and Astroparticle Physics. He maintains active collaborations with major international physics laboratories including Fermilab and Brookhaven National Laboratory.

Dr. Poonthottathil's research has important implications for understanding fundamental particle properties, neutrino characteristics, and cosmological phenomena. His work contributes to advancing detector technologies and analysis methodologies in high energy physics, with potential applications across multiple scientific domains.