Tawseef Ayoub Shaikh | Innovation | Best Researcher Award

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Assist Prof Dr Tawseef Ayoub Shaikh | Innovation | Best Researcher Award

Senior Assistant Professor at  National Institute of technology Srinagar Jammu and Kashmir India

Dr. Tawseef Ayoub Shaikh is a highly qualified professional with a B-Tech in Computer Science & Engineering from Islamic University of Science & Technology (IUST), Awantipora, in 2011, achieving a CGPA of 7.06/10. He further pursued M-Tech in Software Systems from Guru Nanak Dev University (GNDU), Amritsar, in 2014, attaining an impressive CGPA of 8.90/10. His academic journey culminated in a Ph.D. in Computer Engineering from Aligarh Muslim University, successfully awarded in 2020.

 

Publication Profile:🌟👨‍🎓

📚 Educational Background:

  • M.Tech in Computer Science & Engineering (GNDU, 2014)
  • B.Tech in Computer Science & Engineering (IUST, 2011)

🎓 Academic Achievements:

  • GATE, JKSLET, UGC NET Qualified
  • Ph.D. Awarded in 2020
  • Visvesvaraya PhD Fellow (2015-2018)
  • Recognized for excellence in fully financed government projects

💡 Research Interests:

  • AI, Machine Learning, Big Data Analytics
  • Pattern Recognition
  • Medical Informatics & Healthcare Analytics
  • Soft Computing and its applications in search engines and advertising platforms

🏆 Awards and Honors:

  • Merit cum Means Fellowship during B-Tech and M-Tech
  • Multiple fully financed government projects
  • Recognized as a Visvesvaraya PhD fellow

👨‍🔬 Research Focus:

Dr. Tawseef Ayoub Shaikh’s research primarily focuses on applying advanced technologies to healthcare, particularly in the domains of Alzheimer’s disease and breast cancer diagnosis. His work includes the development of automated atrophy assessment for Alzheimer’s disease using MRI images, as well as leveraging transfer learning for Computer-Aided Diagnosis (CAD) in breast cancer. Dr. Shaikh has contributed to intelligent healthcare systems, employing optimization algorithms for breast cancer diagnosis and creating predictive models for Alzheimer’s disease. His research spans machine learning, big data applications in Indian healthcare, and the utilization of distributed algorithms in cloud computing. 🧠🩺🤖

 

Citations:
  • Citations: The individual has been cited 171 times across 157 documents. This metric reflects the impact and visibility of their research within the academic community.
  • Documents: The person has authored or co-authored 27 documents, which could include research papers, articles, or other scholarly publications.
  • h-index: The h-index is a metric that combines the number of publications and their impact. In this case, the h-index is 9, indicating that there are 9 papers that have been cited at least 9 times.

Publications Top Notes:

  1. Machine Intelligence and Medical Cyber-Physical System Architectures for Smart Healthcare: Taxonomy, Challenges, Opportunities, and Possible Solutions
    • Published in Artificial Intelligence in Medicine (2023, 146, 102692).
    • No citations reported.
  2. A Data-Centric Artificial Intelligent and Extended Reality Technology in Smart Healthcare Systems
    • Published in Social Network Analysis and Mining (2022, 12(1), 122).
    • 7 citations reported.
    • Appears to focus on data-centric AI and extended reality technologies in the context of smart healthcare.
  3. Machine Learning for Smart Agriculture and Precision Farming: Towards Making the Fields Talk
    • Published in Archives of Computational Methods in Engineering (2022, 29(7), pp. 4557–4597).
    • 18 citations reported.
    • Concentrates on the application of machine learning in smart agriculture and precision farming.
  4. Towards the Smart Diagnosis of Brain Disorders Using Artificial Intelligence
    • A book chapter in “AI-Enabled IoT for Smart Health Care Systems” (2022, pp. 45–66).
    • No citations reported.
    • Focuses on utilizing AI for the intelligent diagnosis of brain disorders.
  5. AI-Enabled IoT for Smart Health Care Systems
    • A book authored by T.A. Shaikh, T. Rasool, and M. Wasid (2022, pp. 1–269).
    • No citations reported.
    • Likely covers various aspects of AI-enabled IoT in healthcare systems.

 

 

Krishnaswamy Jayachandran | Innovation | Best Researcher Award

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Prof Krishnaswamy Jayachandran | Innovation | Best Researcher Award

Distinguished University Professor at Florida International University, United States

Dr. Krishnaswamy Jayachandran is a Distinguished University Professor in the Earth and Environment Department at Florida International University. He holds a Ph.D. in Plant Pathology (Soil Microbiology) from Kansas State University, with additional degrees in Agricultural Microbiology and Agricultural Sciences from Tamil Nadu Agricultural University, India.

 

Publication Profile:🌟👨‍🎓

🎓 Education:

  • Ph.D. in Plant Pathology (Soil Microbiology), Kansas State University, 1991
  • M.Sc. in Agricultural Microbiology, Tamil Nadu Agricultural University, India, 1983
  • B.Sc. in Agriculture Sciences, Tamil Nadu Agricultural University, India, 1981

🏫 Academic Journey:

  • Currently serving as Distinguished University Professor at FIU since August 2022
  • Co-Director of the Agroecology Program and STEM Transformation Institute Founding Fellow
  • Extensive academic roles from Assistant Professor to Professor since joining FIU in 1996

🌿 Research Interests:

  • Expertise in Agroecology, Sustainable Agriculture, and Organic Agriculture Systems
  • Focus on soil microbiology, nutrient cycling, wetland soil characterization, and microbial diversity
  • Research extends to biofertilizers, vermicompost, pesticide degradation, and bioenergy production

🏆 Professional Honors and Awards:

  • Distinguished University Professor, 2022
  • American Society of Agronomy Fellow, 2020
  • University Faculty Excellence Engagement Award, 2021
  • Israel Scientific Exchange Faculty Fellow, 2023

 

🌱 Research Focus:

Dr. Krishnaswamy Jayachandran’s research spans diverse fields, emphasizing sustainable agriculture, soil microbiology, and innovative sensor technologies. His recent works include:

🍃 Agroecology and Antimicrobial Activities: Exploring fungal endophytes from medicinal plants like Agave americana for potential agricultural applications and biocontrol.

🌾 Smart Agriculture Technology: Pioneering advanced multi-functional sensors and microfluidic chips to monitor in-situ soil parameters, enabling precision agriculture and nutrient uptake monitoring in plants.

🌿 Phytoremediation and Plant-Microbe Interactions: Investigating the potential of floating treatment wetlands for cut-flower species and evaluating endophytes and plant extracts as antimicrobial agents against Candidatus Liberibacter Asiaticus.

🌍 Environmental Remediation: Developing novel kinetic models based on microbiome and biochar for in-situ remediation of petroleum hydrocarbons in contaminated soil.

🌳 Plant Health and Disease Management: Assessing the efficacy of fungal endophytes and silver pyrazolate against Raffaelea lauricola, the causal agent of laurel wilt of avocado.

🌱 Industrial Hemp Cultivation: Evaluating the impact of harvesting time on varieties of industrial hemp, contributing to the growing knowledge of Cannabis sativa L.

These contributions showcase Dr. Jayachandran’s dedication to advancing sustainable agriculture, environmental remediation, and cutting-edge technology in farming practices. 🌍

Citations:

  • Total Citations: 2,112
  • Total Documents: 1,952
  • h-index: 25

Dr. Krishnaswamy Jayachandran’s impactful research has garnered 2,112 citations across 1,952 documents, reflecting the widespread recognition and influence of his scholarly contributions. The h-index of 25 underscores the significance and reach of his work within the academic community. 🌐📚

Publications Top Notes: