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Mr. Ashutosh Shankhdhar

Mr. Ashutosh Shankhdhar

Assistant Professor , Computer Science & Applications (CSA)

ashutosh.shankhdhar@sharda.ac.in

About

Mr. Ashutosh Shankhdhar, Assistant Professor in the Department of Computer Science & Engineering at GLA University, Mathura, is a passionate academician and researcher with a strong blend of industry and teaching experience. With over 12+ years of total professional experience, including 4+ years in IBM India Pvt. Ltd. and academic service since 2017, he specializes in Data Analytics, Big Data, Digital Image Processing, and Intelligent Healthcare Systems.

Experience
  • 12+ Years
Qualification
  • Ph.D. in Computer Science & IT (Pursuing)
  • M. Tech. (IT)
  • B.Tech. (IT)
Award & Recognition

  • Published Patent on “A Machine Learning-Based BCI System for Training and Enabling Aphonic Patients for EffectiveCommunication.”
  • Received IBM Managers Choice Award twice for “Put the Client First” during project delivery.
  • Secured II Prize at the 3rd International SET Conference at VIT University for research on Cloud Computing Security.
  • District-Level Kho-Kho Competition Winner.

Research

Publications:

Published research paper in a Scopus-indexed journal:

  • Quality analysis for reliable complex multiclass neuroscience signal classification via electroencephalography (International Journal of Quality & Reliability Management, 2022).

Presented multiple research papers in IEEE and Springer international conferences on:

  • COVID-19 Detection using Chest X-rays and CT Scans
  • Healthcare Bots using Machine Learning
  • Vocational Career Advisory using Unsupervised ML
  • Divorce Prediction using Machine Learning
  • Human Scream Detection using Deep Learning
  • Drone Operation using EEG Signal Recognition
  • Intelligent Decision Support Systems

Certifications

  • Pega Certified System Architect (CSA).
  • Pega Certified Senior System Architect (CSSA).

Successfully completed IBM Teach the Teacher (T3) workshops on:

  • Big Data Analytics
  • Business Intelligence

Area of Interest

  • Data Analytics & Big Data, Digital Image Processing, Machine Learning & Intelligent Systems, Cloud Computing & Healthcare Analytics