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Department of Computer Science & IT

Mr. Anurag Semwal

Head of Department & Assistant Professor · Computer Science & IT, IHMS Kotdwar

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

About Mr. Semwal

Mr. Anurag Semwal heads the Department of Computer Science & IT 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 teaching
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, CS & ITIHMS 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)
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