Prof. Dr Fadia El Sherif | Plant biotechnology | Women Researcher Award |

Prof. Dr. Fadia El Sherif | Plant biotechnology | Women Researcher Award |Β 

Department of biological science, at King Faisal University, Saudi Arabia.

Prof. Dr. Fadia Mohamed Youssef Askar El Sherif is an esteemed plant physiologist and biotechnologist, specializing in stress physiology, micropropagation, and plant genetic engineering. With a career spanning three decades, she has made significant contributions to plant biotechnology, medicinal plant research, and sustainable agriculture. She has held academic positions at Suez Canal University, Egypt, and King Faisal University, Saudi Arabia, fostering international collaborations and mentoring the next generation of researchers.

Professional Profile

Scopus

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Education πŸŽ“

Ph.D. in Floriculture & Biotechnology (2009) – Suez Canal University, Egypt & University of Hamburg, Germany

M.Sc. in Floriculture (1997) – Suez Canal University, Egypt

B.Sc. in Agricultural Science (1993) – Suez Canal University, Egypt

Professional Experience πŸ’Ό

Professor, Department of Horticulture – Suez Canal University, Egypt (Since 2019)

Assistant Professor, Department of Biological Sciences – King Faisal University, Saudi Arabia (2013–2022)

Visiting Scholar – Institute of Forest Genetics, University of Hamburg, Germany (2006–2008)

Associate Professor, Horticulture Department – Suez Canal University, Egypt (2014–2019)

Assistant Lecturer & Demonstrator – Suez Canal University, Egypt (1993–2014)

Throughout her career, she has taught undergraduate and postgraduate courses and supervised multiple research projects in plant physiology, biotechnology, and horticulture.

Awards & Honors πŸ†

International Publishing Award (2013–2023) – Suez Canal University, Egypt

Recognized for outstanding research contributions in plant biotechnology

Numerous supervised M.Sc. and Ph.D. students, shaping the future of agricultural biotechnology

Top Noted Publications πŸ“š

Effect of gamma irradiation on enhancement of some economic traits and molecular changes in Hibiscus sabdariffa L. – F. El Sherif, S. Khattab, E. Ghoname, N. Salem, K. Radwan – 89 citations – Life Science Journal – 2011

Foliar application of Moringa oleifera leaves extract altered stress-responsive gene expression and enhanced bioactive compounds composition in Ocimum basilicum – M.A. Alkuwayti, F. El-Sherif, Y.K. Yap, S. Khattab – 50 citations – South African Journal of Botany – 2020

Silybum marianum L. plants under abiotic elicitation: Silybin content and overexpression of chalcone synthase genes – H.A.S. El-Garhy, S. Khattab, M.M.A. Moustafa, R. Abou Ali, A.Z.A. Azeiz, F. El-Sherif – 45 citations – Plant Physiology and Biochemistry – 2016

Aloe vera leaf extract as a potential growth enhancer for Populus trees grown under in vitro conditions – F. El Sherif – 42 citations – American Journal of Plant Biology – 2017

Effect of manure and bio-fertilizers on growth, yield, silymarin content, and protein expression profile of Silybum marianum – E.G. Ismail, W.W. Mohamed, S. Khattab, F.E. Sherif – 42 citations – International Journal of Medicinal and Aromatic Plants – 2013

Conclusion

Dr. El Sherif is a highly qualified researcher with a strong publication record, international exposure, and leadership in plant biotechnology and physiology. She is a suitable candidate for the Research for Women Researcher Award, especially if she can highlight her research impact, citations, and leadership roles in more detail.

Mr Upendra Meesala | Agriculture and Technology | Best Researcher Award |

Mr. Upendra Meesala | Agriculture and Technology | Best Researcher Award |Β 

Student, at Velagapudi Ramakrishna Siddhartha Engineering College , India.

Upendra Meesala is an aspiring researcher and technologist with a strong background in Information Technology, specializing in machine learning, artificial intelligence, and automation. With a keen interest in solving real-world problems, he has contributed to research in computer vision, IoT-based solutions, and hybrid learning applications. His expertise spans multiple domains, including low-code application development, backend services, and frontend technologies. Upendra has demonstrated exceptional academic performance, technical proficiency, and innovation, making significant strides in research and development.

Professional Profile

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Education πŸŽ“

Upendra is currently pursuing a B.Tech in Information Technology at Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, with a stellar CGPA of 9.30 (expected graduation: April 2025). He completed his Senior Secondary education at Sri Viswasanthi College, Vuyyuru, achieving an impressive 95.3%.

Professional Experience πŸ’Ό

Pega Apprenticeship (June 2024 – Feb 2025, Remote): Gaining hands-on experience in Pega BPM and CRM platforms, application development, system architecture, and automation tools.

Web Development Internship (May – June 2024, Oneable Pvt Ltd, Hyderabad – Virtual): Worked on modern web technologies, backend services, and React-based UI enhancements, integrating Appwrite and Firebase.

Research Interests 🌍

His research primarily revolves around machine learning, computer vision, IoT applications, and automation. Notable projects include the Bird Repeller Using OpenCV, which leverages AI-based object detection to mitigate crop damage, and a Hybrid Learning Application for Rural Education, aiming to bridge educational gaps in underserved regions. His work integrates deep learning, OpenCV, Raspberry Pi, and automation tools to develop impactful technological solutions.

Awards & Honors πŸ†

Winner, IIC Innovation Competition (2022): Presented an IoT-based Bird Repellent System to mitigate crop damage.

Academic Excellence: Achieved 5th rank in the 1st semester and 2nd rank in the 3rd semester of his B.Tech program.

Multiple Professional Certifications: Earned prestigious certifications in PEGA (CSA & SSA), Machine Learning, Business & Text Mining (NPTEL), and AI for Everyone (Coursera).

Top Noted Publications πŸ“š

ICDSA – MNIT Jaipur (July 2024): Presented a research paper on β€œBridging Educational Gaps in Rural Landscapes with a Hybrid Learning Application.”

ICECMSN – Evolutionary Computing & Mobile Sustainable Networks (Nov 2024): Published a journal titled β€œBird Repeller Using OpenCV”, demonstrating AI-driven solutions for agricultural automation.

Project Contributions: Developed a low-code application for pre-owned vehicle purchases using PEGA, integrating OTP-based authentication, automated workflows, and Razorpay payment systems.

Conclusion

Upendra Meesala is a strong candidate for the Best Researcher Award, given his academic achievements, research contributions, and technical expertise. However, to maximize his chances, he should focus on publishing in reputed journals, expanding his research scope, and seeking collaborations in advanced AI applications.