Pooja | Botany | Best Researcher Award

Dr. Pooja | Botany | Best Researcher Award

Department of School Education | India

Author Profile

Orcid ID

Early Academic Pursuits

Dr. Pooja demonstrated academic excellence from an early stage. She secured an impressive in her 10th-grade examinations from Govt. Sr. Sec. School, Dhukra, Sirsa, and continued this performance  in 12th grade at Govt. Model Sanskriti Sr. Sec. School, Sirsa. Her undergraduate studies in Medical Sciences culminated with a B.Sc. from National College, Sirsa, affiliated with CDLU, where she achieved a commendable. She further pursued her M.Sc. in Botany from Kurukshetra University in 2019, followed by a B.Ed. degree in 2021 from Daffodils College of Education, Fatehabad.

Professional Endeavors

Dr. Pooja has been serving as a Trained Graduate Teacher (TGT) in Science since , at Government Senior Secondary School, Hizrawan Kalan, Fatehabad, Haryana. Her teaching tenure reflects a commitment to nurturing young minds and applying her academic expertise in practical educational settings. Her role as an educator integrates both theoretical knowledge and a hands-on approach to science instruction.

Contributions and Research Focus

Currently pursuing a Ph.D. at Chaudhary Charan Singh Haryana Agricultural University, Hisar, Dr. Pooja’s research is focused on plant-microbe interactions under abiotic stress. Her project titled “Role of mycorrhizal inoculum in improving growth, nutrient status and yield of Cicer arietinum L. (Chickpea) genotypes under salinity stress” explores sustainable agricultural solutions by leveraging beneficial fungi to enhance crop resilience.

Impact and Influence

Dr. Pooja’s work addresses a critical issue in agricultural productivity—salinity stress. Through her research, she contributes to sustainable crop improvement techniques and environmentally friendly farming practices. Her focus on arbuscular mycorrhizal fungi opens new pathways in improving crop tolerance to abiotic stress, thus potentially impacting food security and ecological sustainability in saline-prone regions.

Technical Skills

Dr. Pooja is proficient in the use of MS Office, which supports her academic writing, data analysis, and presentation skills. Her communication and interpersonal abilities are notably strong, aiding both in educational settings and scientific discussions. She is recognized for her adaptability, quick learning capacity, dedication, and a strong sense of responsibility.

Teaching Experience

In her role as a science teacher, Dr. Pooja blends research with pedagogy, introducing students to practical and conceptual science. Her experience in government education reflects her commitment to inclusive learning and community engagement, particularly in rural and semi-urban settings where scientific education can empower future generations.

Achievements

Dr. Pooja has qualified several national-level competitive examinations, including CSIR-UGC NET-JRF , CSIR-UGC NET, GATE , CTET, and both TGT and PGT HTET exams. These achievements reflect her academic competence and potential for higher academic and research positions.

Legacy and Future Contributions

Dr. Pooja envisions a future where her research contributes to agricultural resilience, sustainability, and educational reform. Her work in salinity stress mitigation aligns with global efforts toward food security. Through continued research, teaching, and publication, she aims to inspire young learners and fellow researchers, leaving behind a legacy of dedication, knowledge, and community service.

Publications

Correction to: Role played by arbuscular mycorrhizal fungi in amelioration of salinity stress: a review
  • Authors: Pooja Pooja, Sridevi Tallapragada, Ankisha Lamba, Shweta Punia

  • Journal: Plant and Soil

  • Year: 2025

Role played by arbuscular mycorrhizal fungi in amelioration of salinity stress: a review
  • Authors: Pooja Pooja, Sridevi Tallapragada, Ankisha Lamba, Shweta Punia

  • Journal: Plant and Soil

  • Year: 2025

Exploring the Potential of Arbuscular Mycorrhizal Fungi as Biofertilizers to Enhance Growth, Nutrient Acquisition and Yield in Chickpea Genotypes Under Salinity Stress
  • Authors: Pooja Pooja, Sridevi Tallapragada, Sakshi Saini, Shweta Punia, Monika Janaagal, Vijay Kumar, Ankisha Lamba

  • Journal: Journal of Soil Science and Plant Nutrition

  • Year: 2025

 

KAJEETH KUMAR | Healthcare Monitoring | Best Researcher Award

Mr. KAJEETH KUMAR | Healthcare Monitoring | Best Researcher Award

ANNA UNIVERSITY | India

Author Profile

Google Scholar

🌟INTRODUCTION

Dr. Kajeeth Kumar G is a distinguished academician and researcher specializing in Data Science and Mathematics. With a profound dedication to advanced mathematical applications, he has made significant contributions to the field of artificial intelligence and computational sciences. His expertise spans deep learning, mathematical modeling, and algorithm development.

📚 EARLY ACADEMIC PURSUITS

From an early age, Dr. Kajeeth Kumar exhibited a strong aptitude for mathematics, excelling in academic competitions and research projects. His educational journey reflects a consistent pursuit of excellence:

  • Ph.D. in Data Science (Pursuing) – MIT Campus, Anna University, Chennai
  • M.Sc. in Mathematics – The Gandhigram Rural Institute (Deemed to be University), Dindigul
  • B.Sc. in Mathematics – Ayya Nadar Janaki Ammal College, Sivakasi
  • Higher Secondary Education (HSC) – Nadar Higher Secondary School, Kovilpatti
  • Secondary Education (SSLC) – C.S.I Corley Higher Secondary School, Chennai

His strong academic foundation and consistent high performance have paved the way for his research endeavors.

🧪 PROFESSIONAL ENDEAVORS

Dr. Kajeeth Kumar currently serves as a Q&A Expert in Advanced Mathematics at Chegg Platform (April 2023 – Present), where he contributes to academic discussions and provides expert guidance in mathematical problem-solving. His role involves curating high-quality solutions for complex mathematical problems, aiding students worldwide.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON Healthcare Monitoring

Dr. Kajeeth Kumar’s research primarily focuses on:

  • Deep Learning & AI – Exploring hybrid architectures for predictive analytics.
  • Mathematical Modeling – Enhancing computational efficiency in problem-solving.
  • Machine Learning & Data Science – Developing innovative algorithms for real-world applications.

One of his notable contributions is the paper titled “SwinCNN: A Hybrid Deep Learning Architecture for Accurate Cotton Disease Prediction”, presented at the 12th International Conference on Advanced Computing (ICoAC) 2023, IEEE.

🌍 IMPACT AND INFLUENCE

His research in artificial intelligence and mathematical sciences has contributed to the academic community by:Enhancing computational efficiency in data science applications. Bridging the gap between theoretical mathematics and practical AI solutions. Inspiring students through his role as an educator and mentor.

📈 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Kajeeth Kumar has been recognized for his contributions to academic research, particularly in the field of deep learning and computational mathematics. His publications have received citations in various international conferences and journals, further solidifying his reputation in the academic world.

🏅 HONORS & AWARDS

  • Cleared GATE 2024 in Data Science and Artificial Intelligence.
  • 3rd Prize in Quiz Competition at Ayya Nadar Janaki Ammal College’s Ramanujan Day Celebration.
  • Participation in Inter-college Mathematics Puzzles Competitions.
  • Participation in Quiz Competitions at Gandhigram Rural Institute’s Ramanujan Day Celebration.

🌐 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Kajeeth Kumar’s work is paving the way for advancements in AI, deep learning, and mathematical research. His future endeavors aim to: Develop cutting-edge algorithms for complex data analysis. Contribute to academic literature through impactful research. Mentor and inspire the next generation of data scientists and mathematicians.

🌠 FINAL NOTE

With an unwavering commitment to research and education, Dr. Kajeeth Kumar continues to shape the future of data science through his innovative work. His blend of mathematical expertise and AI-driven problem-solving places him among the leading minds in computational sciences.

📑 NOTABLE PUBLICATIONS 

SwinCNN: A Hybrid Deep Learning Architecture for Accurate Cotton Disease Prediction
  • Authors: S Muthurajkumar, GK Kumar
  • Journal: 12th International Conference on Advanced Computing (ICoAC)
  • Year: 2023
Chaotic Gradient Based Optimization with Fuzzy Temporal Optimized CNN for Heart Failure Prediction
  • Authors: GK Kumar, S Muthurajkumar
  • Journal: Scientific Reports
  • Year: 2025