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Department of Computer Applications

Mr. Anurag Semwal

Head of Department & Assistant Professor · Computer Applications, IHMS Kotdwar

MCAPhD (pursuing)
ExpertiseSAP ABAP/4
Mr. Anurag Semwal, Head of Department & Assistant Professor – IHMS KotdwarHead of Department18+years
experience
Overview

About Mr. Semwal

Mr. Anurag Semwal heads the Department of Computer Applications at IHMS Kotdwar and also teaches as an Assistant Professor. Mr. Semwal specialises in SAP ABAP/4, with 18+ years of teaching experience. Subjects taught include Software Engineering, Artificial Intelligence, ERP and 5 more.

18+Years of experience
8Subjects taught
5Roles at IHMS
1Publications & patents
Education

Qualifications

Professional

  1. PhD scholarMind Power University, Bhimtal, Uttarakhand (since July 2025)
  2. MCA (68%)D.I.T. Dehradun (U.P. Technical University, Lucknow), 2002–2005

Academic

  1. B.Sc. (PCM)HNB Garhwal University, Srinagar, 2002
  2. Class XIIUP Board, 1999
  3. Class XUP Board, 1997
Career

Work experience

Teaching experience: 18+ years

  1. Head, Department of Computer ApplicationsIHMS Kotdwar, Aug 2024 – present
  2. Head of Department, Computer ApplicationsIHMS Kotdwar, Mar 2017 – Jun 2022
  3. Assistant ProfessorIEC University, Baddi (H.P.), Feb 2014 – Sep 2016
  4. LecturerSBIT, Sonepat (Haryana), Feb 2012 – May 2012
  5. Computer LecturerIHMS Kotdwar, Aug 2008 – Feb 2012
  6. SAP-ABAP ConsultantHCL Infosystems Ltd., Noida, Dec 2007 – Aug 2008
In the classroom

Teaching & roles

Subjects taught

Software EngineeringArtificial IntelligenceERPOperating SystemsIndian Knowledge System (IKS)Management Information Systems (MIS)Systems Analysis and Design (SAD)Multimedia

Roles & responsibilities at IHMS

  • Head, Department of Computer Applications
  • Team member for the NAAC inspection (July 2020 – May 2025)
  • Criterion 4 In-charge, NAAC
  • Chairperson, Alumni Committee
  • Chairperson, ERP Committee
Research

Research & publications

1Patents

Patents

  • GRU-Driven Deep Learning Framework for Distributed Computer Vision with Fault-Tolerant Agreement Mechanisms (Application No. 202411101782)
Colleagues

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