Dr. Ajay Kumar
IILM University, Guizhou Normal University, Lincoln University College Malaysia, DIT University, NDS InfoServ, Birla Institute of Technology, Mesra
About
Dr. Ajay Kumar has completed his Post-Doctorate remotely from Lincoln University College Malaysia (LUCM) while serving as an Associate Professor in the School of Computer Science & Engineering at IILM University, Greater Noida, Delhi NCR, India. Previously, he worked as a Senior Lecturer at Guizhou Normal University in Guiyang City, Guizhou Province, China. In addition to his academic roles, he has industry experience as a Data Scientist at NDS InfoServ, Mumbai, India. He also gained valuable experience in the EduTech sector at iNurture Education Solutions Pvt. Ltd., Bangalore, India. Furthermore, he has served as an Associate Professor in the CSE Department at IMS Engineering College (IMSEC), Ghaziabad, Delhi NCR, India.
He earned his Ph.D. in Computer Science & Engineering from DIT University, Dehradun, India. He completed his Master of Engineering (M.E.) in Software Engineering from Birla Institute of Technology (BIT), Mesra, India, and his Bachelor of Engineering (B.E.) in Information Science & Engineering from SJCE Mysore (now JSS Science & Technology University - JSSSTU), affiliated with Visvesvaraya Technological University (VTU), Belgaum (now Belagavi), Karnataka, India.
His current research interests include Machine Learning, Data Analytics, Deep Learning, Computer Vision, Natural Language Processing (NLP), Health Informatics, Predictive Analysis, and Programming Languages. With over 17 years of teaching and learning experience, he possesses expertise in C Programming, Java Programming, Advanced Java Programming, Python, Software Engineering, Business Intelligence, Unix, Natural Language Processing, Big Data Analytics, SQL, DBMS, and Full-Stack Web Development.
In addition to his academic contributions, he has been actively involved in various institutional departments, including placements, research and development (R&D), examination control, and admissions. He has guided numerous postgraduate and undergraduate students through different stages of dissertations and projects. His research contributions include over 26 publications in reputed journals and conferences, indexed in various international databases, including the globally recognized IEEE TENCON’21 conference held in New Zealand. He has also filed 4 patents at both national and international levels in the field of computer science.
Additionally, he has played a key role in organizing seminars, Faculty Development Programs (FDPs), and expert talks in collaboration with institutions like IIT Roorkee, IBM, and Infosys. He was actively involved in preparing national conferences, including one funded by UCOST Uttarakhand in 2012. More recently, as a convener, he organized the online National Conference NCRAITC-2022 at IMS Engineering College, Ghaziabad, on May 14, 2022. He is also a life member of professional organizations such as CSI, ISTE, IETE, ISCA, and IAENG, as well as a professional member of IEEE and ACM.
Employment
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IILM University Associate Professor2025 - Present
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Guizhou Normal University Sr. Lecturer2023 - 2025
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NDS InfoServ Data Scientist2023 - 2023
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iNurture Education Solutions Pvt. Ltd. Mentor2022 - 2023
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IMS Engineering College Associate Professor2022 - 2022
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DIT University Assistant Professor2009 - 2022
Education
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Lincoln University College Malaysia Post Doctorate Researcher2025 - 2026
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DIT University Ph.D.2014 - 2021
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Birla Institute of Technology, Mesra M.E.2005 - 2007
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Sri Jayachamarajendra College of Engineering B.E.2001 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- SWARM INTELLIGENCE–OPTIMIZED DEEP LEARNING MODELS FOR DROUGHT PREDICTION AND SMART IRRIGATION SCHEDULING Save
- HMG-Former: a hierarchical meta-graph transformer framework for robust multi-class SAR target recognition Save
- Analysis of Bitcoin Prediction using Transparent and Opaque Machine Learning Algorithms Save
- An Integration Of Wireless Communications And Artificial Intelligence For Autonomous Vehicles Save
- Analysis of Sentiments on Russia-Ukraine Conflict using Machine Learning Techniques Save
- Early detection of tuberculosis using hybrid feature descriptors and deep learning network Save
- Multi-Sensor Surveillance System Based on Integrated Video Analytics Save
- Classification of Breast Cancer using User-Defined Weighted Ensemble Voting Scheme Save
- Feature extraction and elimination using machine learning algorithm for breast cancer biological datasets Save
- Comparative study of classification techniques for breast cancer diagnosis Save