Nitika | Engineering | Best Researcher Award

Dr. Nitika | Engineering | Best Researcher Award

Baba Farid College of engineering and Technology, Bathinda | India

Dr. Nitika is an accomplished researcher and academician specializing in Electronics and Communication Engineering, with a focus on RF and microwave systems, antenna design, and graphene-based sensor technologies. She holds a Ph.D. and Master’s degree from the Thapar Institute of Engineering and Technology, Patiala, and a Bachelor’s in Electronics and Communication from Chandigarh Engineering College, Landran. Currently serving as an Assistant Professor at Baba Farid College of Engineering and Technology, she has previously contributed to research at TIET–Virginia Tech Center of Excellence in Emerging Materials, focusing on food quality monitoring using novel graphene-based microstrip antenna sensors. Her research contributions include several SCI and SCIE-indexed publications in reputed journals such as Journal of the Science of Food and Agriculture and International Journal of Microwave and Wireless Technologies. With an h-index of 5, i10-index of 4, and 90 citations, her impactful work bridges microwave engineering and food technology. Her interests extend to metamaterial-enabled RF systems, IoT-integrated antenna sensors, and biomedical diagnostics. She has actively participated in workshops and FDPs at premier institutes like NIT Rourkela and IIITDM Jabalpur. Through her dedication to research and innovation, Dr. Nitika continues to contribute significantly to advancing antenna-based sensing technologies and interdisciplinary applications.

Profile: Google Scholar

Featured Publications

Kaur, J., Nitika, & Panwar, R. (2019). Design and optimization of a dual-band slotted microstrip patch antenna using Differential Evolution Algorithm with improved cross polarization characteristics for wireless applications. Journal of Electromagnetic Waves and Applications, 33(11), 1427–1442. https://doi.org/10.1080/09205071.2019.1612283

Nitika, Khanna, R., & Kaur, J. (2018). Optimization of modified T-shape microstrip patch antenna using differential algorithm for X and Ku band applications. Microwave and Optical Technology Letters, 60(1), 219–229. https://doi.org/10.1002/mop.30939

Nitika, Kaur, J., & Khanna, R. (2022). Novel monkey-wrench-shaped microstrip patch sensor for food evaluation and analysis. Journal of the Science of Food and Agriculture, 102(4), 1443–1456. https://doi.org/10.1002/jsfa.11478

Kaur, J., Nitika, & Khanna, R. (2023). Exploration of adulteration in common raw spices using antenna-based sensor. International Journal of Microwave and Wireless Technologies, 15(7), 1117–1129. https://doi.org/10.1017/S175907872200112X

Kaur, J., Nitika, & Khanna, R. (2023). Rake-shaped microstrip sensors with high spatial resolution for analyzing liquid food quality. International Journal of Microwave and Wireless Technologies, 15(2), 204–212. https://doi.org/10.1017/S1759078722000587

Anubhava Srivastava | Engineering | Best Researcher Award

Dr. Anubhava Srivastava | Engineering | Best Researcher Award

Sharda University, India

Author Profile

SCOPUS

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Anubhava Srivastava, embarked on his academic journey in Amethi, Uttar Pradesh, completing his Secondary and Higher Secondary education from GIC Sultanpur. He pursued B.Tech and M.Tech in Computer Science & Engineering from AKTU Lucknow, with his M.Tech thesis focusing on secure routing protocols in P2P networks. His scholarly progression culminated in a Ph.D. from RGIPT Jais, an Institute of National Importance, where he specialized in Artificial Intelligence (AI) and Remote Sensing technologies.

🏢 PROFESSIONAL ENDEAVORS

Dr. Srivastava currently serves as an Assistant Professor in the Department of Computer Science, School of Engineering and Technology, Sharda University, Greater Noida. His prior roles include academic appointments at Noida Institute of Engineering Technology and Rajarshi Rananjay Sinh Institute of Management Technology, Amethi. With nearly a decade of teaching and research experience, he has demonstrated deep expertise in areas like Machine Learning, Geo Informatics, and Google Earth Engine (GEE).

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ENGINEERING

Dr. Srivastava’s Ph.D. thesis titled “Estimation of Change in LU/LC Mapping with Classification of Digital Signature using AI/ML Techniques over Google Earth Engine” reflects his interdisciplinary mastery. His research spans remote sensing, satellite image processing, forest degradation analysis, and environmental monitoring using AI/ML. He has actively explored the fusion of Earth Observation data with AI-driven models to tackle real-world environmental challenges.

He has authored 12 SCI/SCOPUS indexed journal articles, 14 international conference papers, and 4 Scopus-indexed book chapters, illustrating a sustained contribution to computational intelligence, environmental informatics, and secure networks.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • H-index: 9 (Google Scholar), 8 (Scopus)

  • Publications in high-impact journals such as Science of the Total Environment

  • Patent holder of two published design patents:

    • RFID-based Animal Tracking Strap

    • Irrigation Water Management System

He is also a multiple-time GATE qualifier and has completed over seven Coursera-certified advanced technology courses, reinforcing his commitment to lifelong learning.

🌍 IMPACT AND INFLUENCE

Dr. Srivastava’s research has impacted areas such as:

  • Sustainable forestry and climate monitoring

  • Urban noise pollution mapping using GIS

  • Precision agriculture with AI-enabled tools

  • Disaster monitoring via remote sensing platforms

His innovations like the Forest Cover Change Calculator (FCCC) and real-time environmental monitoring systems using GEE have influenced both academia and policy-driven environmental assessments.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Srivastava is poised to shape the next generation of AI-integrated environmental science. His emphasis on open-source platforms, especially Google Earth Engine, promotes scalable and accessible research tools. He aims to:

  • Develop AI-based real-time monitoring frameworks

  • Advocate for digital literacy in rural India

  • Expand applications of machine learning in environmental and agricultural sustainability

 ✅CONCLUSION

Dr. Anubhava Srivastava stands at the confluence of computer science, environmental engineering, and artificial intelligence, translating research into practical applications that address climate change, urban planning, and ecological preservation. His academic rigor, innovative spirit, and collaborative outlook mark him as a rising thought leader in intelligent Earth observation and digital transformation in environmental sustainability.

🔬NOTABLE PUBLICATION:

Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries
Authors: V.B. Sharma, K. Singh, R. Gupta, A. Joshi, R. Dubey, V. Gupta, S. Bharadwaj, …
Journal: Applied System Innovation, Volume 4(3), Article 59
Year: 2021


Mapping Vegetation and Measuring the Performance of Machine Learning Algorithm in LULC Classification in the Large Area Using Sentinel-2 and Landsat-8 Datasets of Dehradun
Authors: A. Srivastava, S. Bharadwaj, R. Dubey, V.B. Sharma, S. Biswas
Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Year: 2022


Exploring Forest Transformation by Analyzing Spatial-Temporal Attributes of Vegetation Using Vegetation Indices
Authors: A. Srivastava, S. Umrao, S. Biswas
Journal: International Journal of Advanced Computer Science and Applications (IJACSA), Volume 14(5)
Year: 2023


A Probabilistic Gossip-Based Secure Protocol for Unstructured P2P Networks
Authors: A. Srivastava, P. Ahmad
Journal: Procedia Computer Science, Volume 78, Pages 595–602
Year: 2016


Determination of Optimal Location for Setting Up Cell Phone Tower in City Environment Using LiDAR Data
Authors: S. Bharadwaj, R. Dubey, M.I. Zafar, A. Srivastava, V.B. Sharma, …
Journal: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Year: 2020