Tutorial B: CORBA: As a Cluster Middleware. - Arvind W. Kiwelekar (CLUSTER, 2000)

Efficient Network Management Using SNMP. - Laxman D. Netak; Arvind W. Kiwelekar (J. Netw. Syst. Manag., 2006)

Extracting High-level Component-Connector View from Detailed UML Models: A Case Study. - Arvind W. Kiwelekar; Rushikesh K. Joshi (COMPSAC (2), 2007)

Ontological Analysis for Generating Baseline Architectural Descriptions. - Arvind W. Kiwelekar; Rushikesh K. Joshi (ECSA, 2010)

Identifying Architectural Connectors through Formal Concept Analysis of Communication Primitives. - Arvind W. Kiwelekar; Rushikesh K. Joshi (ECSA, 2010)

An Object-Oriented Metamodel for Bunge-Wand-Weber Ontology - Arvind W. Kiwelekar; Rushikesh K. Joshi (CoRR, 2010)

A Comparison of Mobile Patient Monitoring Systems. - Gaurav Paliwal; Arvind W. Kiwelekar (HIS, 2013)

Ontological interpretation of object-oriented programming abstractions. - Arvind W. Kiwelekar; Rushikesh K. Joshi (SCAM, 2013)

An ontological framework for architecture model integration. - Arvind W. Kiwelekar; Rushikesh K. Joshi (TwinPeaks, 2014)

Learning Objectives for a Course on Software Architecture. - Arvind W. Kiwelekar; Hansaraj S. Wankhede (ECSA, 2015)

SkipLPA: An Efficient Label Propagation Algorithm for Community Detection in Sparse Network. - Sanjay B. Thakare; Arvind W. Kiwelekar (COMPUTE, 2016)

On Which Skills do Indian Universities Evaluate Software Engineering Students? - Hansaraj S. Wankhede; Sanil S. Gandhi; Arvind W. Kiwelekar (CoRR, 2016)

Role of Ontology Training to Software Engineering Students. - Arvind W. Kiwelekar (CoRR, 2019)

A Two-Systems Perspective for Computational Thinking. - Arvind W. Kiwelekar; Swanand Navandar; Dharmendra Kumar Yadav (IHCI (1), 2020)

Deep Learning Techniques for Geospatial Data Analysis. - Arvind W. Kiwelekar; Geetanjali S. Mahamunkar; Laxman D. Netak; Valmik B. Nikam (CoRR, 2020)

Use-cases of Blockchain Technology for Humanitarian Engineering. - Arvind W. Kiwelekar; Sanil S. Gandhi; Laxman D. Netak; Shankar B. Deosarkar (CoRR, 2020)

An Architectural Perspective of Learning Analytics. - Arvind W. Kiwelekar; Manjushree D. Laddha; Laxman D. Netak; Sanil S. Gandhi (Machine Learning Paradigms, 2020)

Real-Time Cognitive Evaluation of Online Learners through Automatically Generated Questions. - Ritu Gala; Revathi Vijayaraghavan; Valmik B. Nikam; Arvind W. Kiwelekar (ICCI*CC, 2021)

Mapping Program Elements to Layers using Centrality Measures and Machine Learning Techniques. - Sanjay B. Thakare; Arvind W. Kiwelekar (ECSA (Companion), 2021)

Deep Convolutional Neural Network Approach for Classification of Poems. - Rushali Deshmukh; Arvind W. Kiwelekar (ICHI, 2021)

Recovery and Analysis of Architecture Descriptions using Centrality Measures. - Sanjay B. Thakare; Arvind W. Kiwelekar (CoRR, 2021)

A Software Architecture Teacher's Dilemmas. - Arvind W. Kiwelekar (CoRR, 2021)

Blockchain-based Security Services for Fog Computing. - Arvind W. Kiwelekar; Pramod Patil; Laxman D. Netak; Sanjay U. Waikar (CoRR, 2021)

A Decentralized and Autonomous Model to Administer University Examinations. - Yogesh N. Patil; Arvind W. Kiwelekar; Laxman D. Netak; Shankar B. Deosarkar (CoRR, 2021)

Classifications of the Summative Assessment for Revised Blooms Taxonomy by using Deep Learning. - Manjushree D. Laddha; Varsha T. Lokare; Arvind W. Kiwelekar; Laxman D. Netak (CoRR, 2021)

Discovery of Layered Software Architecture from Source Code Using Ego Networks. - Sanjay B. Thakare; Arvind W. Kiwelekar (CoRR, 2021)

Redefining measures of Layered Architecture. - Sanjay B. Thakare; Arvind W. Kiwelekar (CoRR, 2021)

i-Pulse: A NLP based novel approach for employee engagement in logistics organization. - Rachit Garg 003; Arvind W. Kiwelekar; Laxman D. Netak; Akshay Ghodake (Int. J. Inf. Manag. Data Insights, 2021)

Performance Analysis of the Impact of Technical Skills on Employability. - Manjushree D. Laddha; Varsha T. Lokare; Arvind W. Kiwelekar; Laxman D. Netak (Int. J. Perform. Eng., 2021)

Exemplar Use-Cases for Training Teachers on Learning Analytics. - Arvind W. Kiwelekar; Manjushree D. Laddha; Laxman D. Netak (Intelligent Techniques in the Educational Process (1), 2022)

Software layer recovery through ego network analysis. - Sanjay B. Thakare; Arvind W. Kiwelekar (SAC, 2022)

Security Requirement Analysis of Blockchain-based E-Voting Systems. - Sanil S. Gandhi; Arvind W. Kiwelekar; Laxman D. Netak; Hansaraj S. Wankhede (CoRR, 2022)

Analysis of the Influence of Physiological and Cognition Measures in Higher Education using Machine Learning. - Varsha T. Lokare; Arvind W. Kiwelekar; Laxman D. Netak (Int. J. Perform. Eng., 2022)

Deep Learning Model for Black Spot Classification. - Geetanjali S. Mahamunkar; Arvind W. Kiwelekar; Laxman D. Netak (Int. J. Perform. Eng., 2022)

The Impact of Cognitive Bias on Students' Programming Performance in an Introduction to Programming Course. - Swanand Navandar; Arvind W. Kiwelekar; Manjushree D. Laddha (Int. J. Perform. Eng., 2022)

Analyzing Performance in a Computer Programming Course Through a Two-System Model. - Swanand Navandar; Manjushree D. Laddha; Arvind W. Kiwelekar (Int. J. Perform. Eng., 2022)

Adopting Pre-trained Large Language Models for Regional Language Tasks: A Case Study. - Harsha R. Gaikwad; Arvind W. Kiwelekar; Manjushree D. Laddha; Shashank Shahare (IHCI (1), 2023)

A blockchain-based data-driven trustworthy approval process system. - Sanil S. Gandhi; Arvind W. Kiwelekar; Laxman D. Netak; Shashank Shahare (Int. J. Inf. Manag. Data Insights, 2023)

Analyzing Brain Signals for Predicting Students' Understanding of Online Learning: A Machine Learning Approach. - Harsha R. Gaikwad; Sanil S. Gandhi; Arvind W. Kiwelekar; Manjushree D. Laddha (Int. J. Perform. Eng., 2023)

Training software architects suiting software industry needs: A literature review. - Wilson Libardo Pantoja Yepez; Julio Ariel Hurtado Alegria; Ajay Bandi; Arvind W. Kiwelekar (Educ. Inf. Technol., 2024)

A Generative AI-Based Assistant to Evaluate Short and Long Answer Questions. - Harsha R. Gaikwad; Arvind W. Kiwelekar (SN Comput. Sci., 2024)

Stacked LSTM for Short-Term Wind Power Forecasting Using Multivariate Time Series Data. - Manisha Galphade; Valmik B. Nikam; Biplab Banerjee; Arvind W. Kiwelekar; Priyanka Sharma (Int. J. Interact. Multim. Artif. Intell., 2025)

Bridging Quantum Mechanics and Computing: A Primer for Software Engineers. - Arvind W. Kiwelekar (CoRR, 2025)