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Dr. Darshan Deepak Ruikar

POSITION

Assistant Professor and Program Head, MCA

DEPARTMENT

School of Computing

EMAIL

darshan.ruikar@mitvpu.ac.in

LINKEDIN

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Bio

Dr. Darshan Deepak Ruikar is an Assistant Professor and Program Head (MCA) at the School of Computing, MIT Vishwaprayag University, Solapur. He holds a PhD in Computer Science with a specialization in virtual reality-based medical simulators using Unity 3D and haptic technology, supported by the Visvesvaraya PhD Scheme Fellowship from MeitY, Delhi. With over 17 years of experience in higher education, academic leadership, research, and software development, his work focuses on healthcare AI, medical image processing, data science, virtual reality, and intelligent systems.

Professional Experience

Assistant Professor and Program Head, MCA – MIT Vishwaprayag University, Solapur (Aug 2022 – Present)

Assistant Professor and Program Head, B.Sc. (DS & BDA) – MIT World Peace University, Pune (Jan 2022 – Jul 2022)

Assistant Professor and Program Head, MCA – Bharati Vidyapeeth (Deemed to be University), CDOE, Pune (Aug 2021 – Dec 2021)

Research Scholar / Assistant Professor in Computer Applications (Jan 2017 – Aug 2021)

Co-Founder – Softboatz Technologies, Solapur (Oct 2013 – Jan 2017)

Lecturer – D.H.B. Soni College, Solapur (Jun 2010 – May 2014)

Lecturer – D.B.F. Dayanand College of Arts and Science, Solapur (Sep 2009 – Apr 2010)

Trainee Software Engineer – EPICOMM Technology, Pune (Jan 2009 – Jul 2009)

Skills & Core Competencies

  • Programming & Algorithms: C Programming, Data Structures Using C, Design and Analysis of Algorithms, Theory of Computation (Finite Automata), Compiler Construction, System Programming, UNIX Internals, Database Systems
  • AI & Data Science: Machine Learning, Artificial Intelligence, Healthcare AI, Data Science, Healthcare Data Analytics
  • Vision & Graphics: Medical Image Processing, Feature Engineering, Computer Vision, CADe, CADx, CADp, Virtual Reality, Haptics, Medical Simulation
  • Advanced AI Workflows: Retrieval-Augmented Generation (RAG) and Intelligent Workflows

Qualification

  • Ph.D. in Computer Science from P.A.H. Solapur University, Solapur (2017–2021).
  • SET-Maharashtra in Computer Science and Applications (2019).
  • MCA in Computer Applications with Distinction from P.A.H. Solapur University (2009–2013).
  • M.Sc. in Computer Science from University of Pune (2007–2009).
  • B.Sc. in Computer Science with Distinction from Solapur University, Solapur (2004–2007).

Award & Achievement

  • Recipient of Visvesvaraya PhD Scheme Fellowship, Ministry of Electronics and Information Technology, Government of India
  • Best Paper Award, RTIP2R 2020 (for DWT textural feature-based classification of osteoarthritis using knee X-ray images)
  • Best Paper Award, 169 ISRDSD 2026 (for A Training-Free Lung Segmentation Framework Using Image Content-Driven Initialization and Inter-Slice Propagated Active Contours for Heterogeneous CT Data)
  • Appreciation from the Commissioner, Solapur Municipal Corporation, for digital healthcare workflow transformation
  • Contribution to AI-powered e-governance solutions under the Government of Maharashtra 150 Days E-Governance Program (2025–2026)
  • IUCEE IIEECP Certification with Distinction (2024)
  • IUCEE Engineering Education Research Course with Distinction (2025)

Areas of Research

  • Machine Learning & Artificial Intelligence in Healthcare
  • Data Science and Healthcare Data Analytics
  • Medical Image Processing and Feature Engineering
  • Computer Vision (CADe, CADx, CADp)
  • Retrieval-Augmented Generation (RAG) and Intelligent Workflows
  • Virtual Reality, Haptics, and Medical Simulation
  • Tuberculosis Screening, Osteoarthritis Analysis, Fracture Analysis, and Clinical Decision Support

Research & Publications

Journal Publications: 6
Scopus Indexed Journals: 6 (17+ SCI/Scopus papers overall)
Conference Publications / International Conferences: 8
Books Authored: 6 to 7
Book Chapters: 3
Patents Granted: 2
Copyright Filed: 1
Research Identifiers: ORCID: 0000-0003-1573-3664 | Scopus ID: 57203268532 | WoS Researcher ID: GDO-5424-2022 | Google Scholar: https://scholar.google.com/citations?user=-0jgeEEAAAAJ&hl=en&oi=sra