Dr. Pankaj Beldar, affiliated with K. K. Wagh Institute of Engineering Education & Research, Nashik, has contributed significantly to research with 11 publications and a growing citation impact. According to Google Scholar, his work has received 9 citations across 8 documents, and he holds an h-index of 2, indicating early but consistent scholarly influence. His Scopus Author ID is 58997708400, and his ORCID iD is 0009-0006-4307-5952, linking his verified contributions in the fields of mechanical engineering, composites, and education technology. His research footprint reflects both technical depth and interdisciplinary innovation.
Prof. Pankaj Beldar: Assistant Professor at KK Wagh Institute of Engineering Education and Research, India
Dr. Pankaj Ramanlal Beldar is an innovative academician and researcher with over 11 years of experience in mechanical engineering education and interdisciplinary research. He is currently an Assistant Professor at the K. K. Wagh Institute of Engineering Education & Research, Nashik. Dr. Beldar’s work bridges traditional mechanical design with modern technologies such as artificial intelligence, machine learning, and educational innovations. He is a prolific contributor with a strong research portfolio comprising SCIE/Scopus-indexed publications, copyrights, design patents, and applied software tools, making him a notable figure in applied research and engineering pedagogy.
Online Profiles
Education
Dr. Beldar earned his Master’s degree (M.E.) in Mechanical Design Engineering from Pune University in 2016 with an impressive 8.18/10 CPI, following a Bachelor’s degree (B.E.) in Mechanical Engineering in 2013 with 69.06%. His foundational academic performance includes distinction-level results in both HSC (87%) and SSC (86.92%). His academic journey reflects strong analytical abilities and a passion for continuous learning, further validated by his recent completion of a Full Stack Data Science certification.
Research Focus
His multidisciplinary research spans advanced composite materials (e.g., Al6061-SiC, AA6061 hybrid composites), mechanical behavior analysis, educational methods using AI and reflective practices, and the integration of data science into mechanical systems. He is also exploring machine learning models for material prediction, industrial process optimization, and smart learning environments. This blend of mechanical design and AI-based methodologies positions him at the forefront of the next generation of applied engineering research.
Experience
Since June 2014, Dr. Beldar has served at KKWIEER, where he teaches undergraduate and postgraduate courses in C, Python, Artificial Intelligence, Hydraulics, and Optimization. He also leads several academic functions including as Research & Development Coordinator, Lab In-charge for CAD/CAM, NBA documentation team member, and Drone Club In-charge. His leadership in organizing and attending FDPs, STTPs, and national workshops demonstrates his commitment to academic excellence and pedagogical advancement.
Research Timeline
From 2020 to 2025, Dr. Beldar’s research productivity has steadily risen, with over 15 peer-reviewed publications in SCIE and Scopus-indexed journals, 25+ registered copyrights, and 15+ design patents. He has also led several data science projects hosted on GitHub, integrating predictive modeling, sentiment analysis, and clustering algorithms with engineering applications. His timeline showcases a consistent trajectory of interdisciplinary innovation, especially post-2022, with the inclusion of AI/ML in mechanical systems and education.
Awards & Honors
Dr. Beldar’s work has been recognized through national-level FDPs, AICTE-ATAL FDP participations, and successful organization of technical workshops and training sessions. His copyrighted software tools, design patents, and technical innovations have received approval from official Indian bodies, reflecting both originality and impact. Additionally, he is often invited to deliver expert talks and workshops, further highlighting his thought leadership in mechanical and educational domains.
Recent Publications (2024–2025)
His most recent publication in Materials Letters (SCIE-indexed, July 2025) titled “Mechanical and Wear Behaviour of AA6061 Hybrid Composite Reinforced with Nano RHA, ZrB2, MAX Phase (Ti3SiC2), and PCM-SiO2 Microcapsules” investigates the enhancement of mechanical properties using multi-phase reinforcements in aluminum matrices. This study contributes significantly to the field of lightweight structural materials and demonstrates Dr. Beldar’s capability to integrate nanotechnology with traditional manufacturing for improved material performance.
Enhanced Convolutional Neural Networks for Defect Detection in Fiber-Reinforced Composites: A Hyperparameter Optimization Approach
Journal of Engineering and Applied Science
Date: December 2025
DOI: 10.1186/s44147-025-00698-6
Authors: Pankaj Beldar, Rasika Chandramore, Sarika Jagtap, Dipali BendaleMechanical and Wear Behaviour of AA6061 Hybrid Composite Reinforced with Nano RHA, ZrB₂, MAX Phase (Ti₃SiC₂), and PCM-SiO₂ Microcapsules
Materials Letters
Date: December 2025
DOI: 10.1016/j.matlet.2025.139149
Authors: Pankaj Beldar, Atulkumar PatilMechanical and Wear Analysis of AA6061-T6-SiC-TiC-Graphite Metal Matrix Composite
Materials Letters
Date: March 2025
DOI: 10.1016/j.matlet.2024.137842
Authors: Pankaj Beldar, Snehal KadbhaneAppliances Energy Prediction using Supervised Machine Learning Approach
Research Square (Preprint)
Year: 2024
DOI: 10.21203/rs.3.rs-4096716/v1
Author: Pankaj BeldarComparative Analysis of Mechanical Properties of SiC Particle Addition on Al6061/Ni and Al6061/Cr Metal Matrix Composites
SSRN
Year: 2024
DOI: 10.2139/ssrn.4804136
Authors: Pankaj Beldar, Hemaraj R. Kumavat
Pankaj Beldar, Engineering, Best Innovator Award