Research & Professional IDs
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Scopus ID: 59453666400
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ORCID ID: 0009-0005-5514-2238
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Web of Science Researcher ID: LLM-9725-2024
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Google Scholar: https://scholar.google.com/citations?user=oRqvYq8AAAAJ&hl=en
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ResearchID: https://researchid.co/rmichangi
Professional Summary
Motivated Assistant Professor with 18+ years of experience specializing in Computer Science and Engineering. Strong background in creating insightful research papers which increased institute exposure and supported student learning development. Adept at building strong relationships with students, improving class engagement and overall academic outcomes.
Professional Experience
Assistant Professor
Sphoorthy Engineering College, Nadargul, Hyderabad
February 2024 – Present
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Planned and delivered lessons on Algorithm Design and Analysis, Automata Theory, Compiler Design, and related subjects.
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Conducted student assessments to measure progress in theory and laboratory examinations.
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Worked closely with senior faculty to define objectives, guide research, and manage curriculum deadlines.
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Delivered engaging lectures, seminars, and tutorials, improving class productivity.
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Coordinated curriculum development and continuous reviews with colleagues.
Assistant Professor
Guru Nanak Institutions Technical Campus, Hyderabad
March 2023 – January 2024
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Planned and delivered lessons on Fundamentals of Operating Systems and Python Programming.
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Conducted theory and laboratory examinations.
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Collaborated on departmental documentation and assessment processes as per NBA and NAAC standards.
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Assisted in planning teaching materials, workbooks, and class projects.
Programme Coordinator (Head)
KSRDPR University, Gadag, Karnataka
September 2019 – March 2023
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Head of the Department.
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Convener, Technical Advisory Committee (TAC).
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Member, Board of Studies (BoS), M.Sc. Computer Science (Data Analytics).
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Member, Board of Examinations (BoE), M.Sc. Computer Science (Data Analytics).
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Member, Board of Studies (BoS), B.Sc. (Hons) in Geoinformatics and Computer Science.
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Member, Board of Studies (BoS), Skill Board.
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Coordinator, Social Media Cell, KSRDPR University.
Assistant Professor
SKSVM Agadi College of Engineering & Technology, Laxmeshwar, Karnataka
August 2006 – September 2019
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Planned and delivered lessons on Formal Languages and Automata Theory, Graph Theory, Operating Systems, and related subjects.
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Conducted theory and laboratory examinations.
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Supported NBA and NAAC documentation and academic assessments.
Skills
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Professional Networking
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Entrepreneurship Expertise
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Interdisciplinary Collaboration
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Academic Advising
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Programme Development and Management
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Student Development
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Academic Leadership
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Subject-Specific Expertise
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Quality Education
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Syllabus Development
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Curriculum Development
Educational Qualifications
Ph.D (Pursuing) – Social Network Analytics
Visvesvaraya Technological University (VTU), Belgaum, Karnataka
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Registered in 2020
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Comprehensive Viva Completed
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Thesis Submission in Progress
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Expected Completion: 2021–2026
M.Tech – Computer Science & Engineering (Information Security)
National Institute of Technology Karnataka (NITK), Surathkal – 2013
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First Class
Bachelor of Engineering – Information Science & Engineering
Tontadarya College of Engineering, Gadag – 2005
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First Class with Distinction
PUC II – Science
Jawahar Navodaya Vidyalaya, Dharwad – 2001
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CBSE Board
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First Class (72%)
SSLC – Science
Jawahar Navodaya Vidyalaya, Dharwad – 1999
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CBSE Board
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First Class (67%)
Achievements
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Ratified Assistant Professor by JNTU Hyderabad.
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Qualified University Grants Commission – NET.
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Qualified Karnataka State Eligibility Test (K-SET).
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Qualified GATE – 2011.
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NPTEL Discipline Star in Computer Science and Engineering.
Appreciations
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Recognized as IT Professional for “Neravu – District COVID-19 War Room”, Gadag District Administration and Karnataka State Rural Development and Panchayat Raj University, May–June 2021.
Conferences (National / International)
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2nd International Conference on Advancements in Power, Communication, and Intelligent Systems (APCI 2025).
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International Conference & Start-up Conclave on Science, Engineering & Technology (ICSCSET 2025).
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International Conference on Advances in Computing, Communication and Materials (ICACCM 2024).
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National Conference on Sustainable Development (NCSD 2025).
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5th International Conference on Advances in Information Communication Technology and Computing (AICTC-2024).
Books & Publications
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Deep Learning Applications for Improving Early Detection and Staging Accuracy in Alzheimer’s Disease, SN Computer Science, Springer (Scopus Q1).
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The Future of Legal Practice in an AI-Driven Society, IGI Global (Book Chapter, Scopus Indexed).
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Transformer-Based Semantic Self-Attention Regression for Customer Satisfaction Evaluation, ETASR (Scopus Q2).
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Discretized Recurrent Deep Learning Classifier Based on Stochastic Gradient ChatGPT, ETASR (Scopus Q2).
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QEMF for Spatial Domain Pre-Processing in Iris Biometrics, BEEI Journal (Scopus Q3).
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Revolutionizing Brain Tumor Classification with Fusion-Driven Deep Learning Models, IEEE (Scopus).
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Exploring Non-Convex Optimization in Sparse Signal Recovery, Scopus Indexed.
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The Role of AI in Identifying Bearing Faults of Renewable Energy Systems, IEEE (Scopus).
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Developing a Wireless Network for Optimum Distance Learning Assistant, The Bioscan (Web of Science).
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Additional UGC-recognized journals and authored book: “Machine Learning for Real-Time Applications”, Deccan International Academic Publishers, 2023.
Patents
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Zero Knowledge Proof-Based Authentication for Cloud Services – Published.
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Solar Energy Power Distribution Device – Design Patent (Published).
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AR-Based Object Recognition System for Visually Impaired Individuals – Published.
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AI-Based Automated Pedestrian Lane Detection for Self-Driving Cars – Published.
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Environmental Regulation of Nucleus-Encoded RNA Processing Machinery – Published.
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Context-Aware Digital Twin System for Remote Patient Monitoring – Published.
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Deep Learning-Based Optimization of Digital Marketing Strategies – Published.
NPTEL Certifications
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NPTEL Discipline Star in Computer Science and Engineering – July 2025.
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Data Structures and Algorithms Design – Elite, FDP (July–Oct 2025).
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Theory of Computation – Elite (Jan–Apr 2025).
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Blockchain and Its Applications – FDP (Jan–Apr 2025).
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Cloud Computing – Elite, FDP (Jul–Oct 2024).
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Data Science using Python – Jul–Oct 2024.
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Social Network Analysis – FDP (Jul–Oct 2024).
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Data Analytics with Python – FDP (Jan–Apr 2024).
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Introduction to IoT – Elite + Silver (Jul–Oct 2023).
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Introduction to Operating Systems – Jul–Oct 2023.

