ORCID

https://orcid.org/0000-0002-8679-132X

Introduction

Dr. Veerendra Yadav is an Associate Professor in the School of Engineering and Technology at Noida International University, holding a Ph.D. from IIT Roorkee. A GATE top-ranker and nine-time design-patent filer, his expertise spans AI, machine learning, GIS and remote sensing, with numerous publications and invited lectures in these domains.

Major Achievements

• Secured 315 AIR in GATE Examination 2008 in Information Technology (IT) stream with 93.68 Percentile score.
• Delivered expert lecture on “GIS Application/Technology for IT Engineers” at Walchand College of Engineering Sangli, Maharashtra (March 26, 2022).
• Session Chaired in National Conference “Industry 4.0” organized by Faculty of Engineering and Computer Sciences, Tirthankara Mahaveer University Moradabad, UP (Feb 29, 2020).

Other Roles and Responsibilities

• Faculty coordinator in 2nd National Conference on “Recent Advances in the Technology & Engineering (RATE-2013)” at Institute of Engineering and Technology, Mangalayatan University Aligarh, UP (March 15–17, 2013).
• Master trainer in FDP entitled “Saksham - IT Champions Training Program” jointly organized by IIT Bombay and Mangalayatan University Aligarh (July 23–28, 2012).
• Examination observer for CTET-2012 organized by CBSE New Delhi (January 28–29, 2012).

Awards, Scholarships & Academic Achievements

• Secured IEEE-GRSS travel grant of $2200 for attending conference in USA, 2023.
• MHRD Scholarship for Master’s program (M.Tech.) during 2009–2011.
• MHRD Scholarship for Doctoral program (PhD) during 2013–2018.
• IITR Institute Fellowship during 2018–2019 in Doctoral (PhD) program.
• Scored 64% in 4th National Aptitude Test organized by NIIT.
• Design Patents Filed: 9 (8 FERs Generated)

Academic Qualifications

• Ph.D. – Indian Institute of Technology (IIT) Roorkee
  Thesis: Disaster Action Plan for an Urban Area Using Geo-Spatial Tools
• M.Tech. (CSE) – IIT Roorkee
  Dissertation: Soft Computation of Satellite Data for Land Cover Information
• B.Tech. (IT) – Uttar Pradesh Technical University, Lucknow

Professional Experience

• Current Position: Associate Professor, Noida International University (Since: August 11, 2023)
• Assistant Professor, HMRITM, New Delhi (2022–2023)
• Junior Research Fellow (JRF), IIT Roorkee (2021–2022)
• Assistant Professor, Mangalayatan University (2011–2013)
• Teaching Assistant, IIT Roorkee (2013–2019)

Area of Specialization

Artificial Intelligence • Machine Learning • Data Structures & Algorithms • Digital Image Processing • Remote Sensing • GIS • Java Programming

Publications

Journal Articles

1. Yadav, V. & Ghosh, S. K. (2019). Assessment and prediction of urban growth for a megacity using CA-Markov model, Geocarto International. [DOI]
2. Yadav, V., et al. (2025). Liver Metabolic Alterations from Olive Leaf Compounds, Natural and Engineering Sciences, 10(1), 352–362. [DOI]
3. Jadhav, Y., et al. (2025). Magnesium Concentrations for Tomato Production, Natural and Engineering Sciences, 10(1), 255–267. [DOI]
4. Yadav, V. & Ghosh, S. K. (2025). Urban Growth Analysis for Chennai – (Communicated)

Conference Papers

1. Kumar, R., Yadav, V., & Kumar, H. (2025). GANs for Intrusion Detection System, ICDT, IEEE. [DOI]
2. Dhumale, A. M., Yadav, V., & Tripathi, K. C. (2025). Oscillation Prediction in Indian Monsoon, IC3ECSBHI, IEEE. [DOI]
3. Yadav, V. & Ghosh, S. K. (2023). Fire Hazard Evacuation Planning, AGU-2023, San Francisco, USA
4. Yadav, V., Garg, R.D., & Garg, P.K. (2023). GNSS Data Accuracy, ISPRS Geospatial Week, Egypt
5. Yadav, V. & Ghosh, S. K. (2023). Transportation Infrastructure in Chennai, IGARSS-2023, California, USA (Travel Grant: ₹1,88,830 / $2200)
6. Yadav, V., Garg, R.D., & Garg, P.K. (2023). Environment Accuracy Evaluation, FGRC-2023, Ahmedabad
7. Yadav, V., Garg, R.D., & Garg, P.K. (2022). Indoor/Outdoor Accuracy Evaluation, AGU Fall Meeting 2022, Chicago, USA. [Link]

Academic Contributions

• Expert Talk on GIS Applications – Walchand College of Engineering
• Chair & Coordinator in National Conferences
• FDPs and QIPs from IITs, NIRDPR, UltraTech, ESRI, etc.

Technical Skills

• Programming: C, Java, Python
• GIS/RS Tools: ArcGIS, QGIS, ENVI, ERDAS Imagine, IDRISI
• Classification Techniques: ANN, Fuzzy Logic
• Languages: English, Hindi