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About

Dr. Suneel Pappala is an accomplished academician and researcher in the field of Information Technology, currently serving as an Associative Professor at St. Mary’s Group of Institute, Hyderabad. With a Ph.D. from UIET/CSJM University, Kanpur, his research focuses on Hidden Markov Models (HMMs) and their applications. His career spans various teaching roles, including Guest Faculty at Rajiv Gandhi University of Knowledge Technologies and Assistant Professor at Sri Sivani College of Engineering. Dr. Pappala is an active member of several professional bodies and has authored numerous papers in reputed journals. His expertise also extends to innovative patents and ebooks in Cyber Security, reflecting his commitment to academic excellence and technological advancement.`

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Skills

Experience

Education

University Institute of Engineering and Technology; School of Engineer...

Ph.D. in Information Technology(IT)

Passout Year: 2020

Publication

Consequential Prediction of Brain Status and Diagnosis of Epilepsy

Seizures cannot be cured and can only be controlled with appropriate drugs. The diagnosis of epilepsy patients aims to determine the type of seizure (epilepsy or non-epilepsy) and its cause,...

Conference/Seminar/STTP/FDP/Symposium/Workshop

Workshop
  • dott image Jul 2016

RECENT TEENDS & IMPLICATIONS OF IMAGE PROCESSING (RTIIP-2K16)

Hosted By:

Sri Sivani College of Engineering, Chilakapalam (SSCE) ,

Srikakulam, Andhra Pradesh, India
Attended 3 days National Level Workshop on “RECENT TEENDS & IMPLICATIONS OF IMAGE PROCESSING (RTIIP-2K16)” On 28th, 29th and 30th July, 2016 at Sri Sivani College of Engineering, Chilakapalam, Srikakulam
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Membership

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Membership

International Association of Engineers (IAENG)

From year 2020 to 2020

Doctoral and Master Thesis Guided

Investigation on Informative Criterions of Indiscriminate Explorative Policies for HMM (Hidden Markov Model) Learning
Research Scholar:

Ph.D Thesis (Ph.D. Thesis)

Institute : University Institute of Engineering and Technology; School of Engineering and Technology, Kanpur

Area of research: Information Technology

Patent

  • dott image Information Technology
Artificial Intelligence based Pest Control System for Agricultural Crops
Assignee:

Indian

Filing Country:

India

Filing Month:

Mar 2020

Application No:

202041011478

Patent No:

202041011478

Publication status:

Published

Publication Date:

Mar 2020

Inventor(s): Self

Scholar9 Profile ID

S9-072024-1501827

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