Siddh Nath Upadhyay | Innovation | Best Researcher Award

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Prof Siddh Nath Upadhyay | Innovation | Best Researcher Award

Honorary Adjuct Professor at RGIPT Amethi Uttarpadesh India

Prof. S. N. Upadhyay, born in 1946, is a distinguished academician and researcher with a Ph.D. in Chemical Engineering from Banaras Hindu University (BHU). Joining BHU in 1967, he progressed to become a Professor in 1984. Throughout his career, he has supervised numerous M.Tech., M.Sc., and Ph.D. dissertations across various disciplines.

 

Publication Profile:🌟👨‍🎓

🎓 Education:

  • Graduated from Banaras Hindu University in 1964
  • Ph.D. (Chem. Eng.) from Banaras Hindu University in 1969

🏆 Awards:

  • Anna University National Award (2003)
  • UP Ratan Award (2005)
  • Sir C.V. Raman Award (2009)
  • Distinguished Aluminous Award, IIT(BHU) Varanasi (2013)
  • Life-time Achievement Awards from various organizations

👥 Professional Memberships:

  • Fellow of various prestigious academies and societies
  • Member of research councils and editorial boards
  • Chairman of Varanasi Local Center, Institution of Engineers (India)

👨‍🏫 Academic Career:

  • Joined IIT-BHU Varanasi (formerly IT BHU) in 1967 as a Lecturer
  • Head of the Department of Chemical Engineering & Tech.
  • Director, Institute of Technology, B.H.U.
  • Director, Academic Staff College, BHU
  • DAE-Raja Ramanna Emeritus Fellow
  • Emeritus Professor, IIT(BHU) Varanasi
  • Honorary Research Professor, IIT(BHU) Varanasi
  • Honorary Adjunct Professor, Rajeev Gandhi Petroleum Technology Institute
  • Advisor, Jharkhand University of Technology

👨‍🔬 Research Focus:

Prof. S.N. Upadhyay’s research revolves around the transformative utilization of biomass, with a keen focus on pyrolysis processes. His investigations include the impact of hot water extraction on the pyrolysis of tender coconut fruit biomass, exploring kinetic and thermodynamic parameters. Additionally, his work extends to the thermal degradation behavior of various biomass sources, such as litchi seeds and green coconut trash. With expertise in parametric modeling and optimization techniques, he has contributed significantly to the development of Cr(vi) adsorbents and the kinetic analysis of pyrolysis in different waste streams. 🌱🔥

Citations:

  • Citations: 6,629 citations received by the researcher’s work.
  • Documents: The researcher has contributed to 160 documents.
  • h-index: The h-index is a measure of both the productivity and citation impact of a researcher’s publications. The h-index of 42 indicates that the researcher has 42 papers, each of which has been cited at least 42 times.

 

Publications Top Notes:

1. Title: Effect of hot water extraction on pyrolysis of tender coconut fruit biomass: kinetic and thermodynamic parameters

  • Authors: Gupta, T.; Kumar, M.; Upadhyay, S.N.; Mishra, P.K.; Jaiswal, A.K.
  • Journal: Biomass Conversion and Biorefinery, 2023, 13(13), pp. 11703–11725

Abstract: This study investigates the impact of hot water extraction on the pyrolysis of tender coconut fruit biomass. The research delves into the kinetic and thermodynamic parameters involved in this process.

2. Title: Effect of chemical treatment on thermal degradation behavior of litchi seed biomass

  • Authors: Kumar, M.; Yadav, R.; Patel, A.K.; Upadhyay, S.N.; Mishra, P.K.
  • Journal: Journal of Thermal Analysis and Calorimetry, 2023, 148(14), pp. 6927–6944

Abstract: Examining the thermal degradation behavior of litchi seed biomass, this article explores the influence of chemical treatment on the process. The authors analyze the results with a focus on understanding the underlying mechanisms.

3. Title: Excellent Cr(vi) adsorbent made from pyrolyzed green coconut trash with parametric modelling and optimization using RSM and experimental data

  • Authors: Kumar, A.; Upadhyay, S.N.; Mishra, P.K.; Mondal, M.K.
  • Journal: New Journal of Chemistry, 2023, 47(21), pp. 10078–10089

Abstract: This article presents the development of a highly effective Cr(vi) adsorbent derived from pyrolyzed green coconut trash. The study involves parametric modeling, optimization using RSM (Response Surface Methodology), and experimental data analysis.

4. Title: Recent developments in photocatalytic degradation of insecticides and pesticides

  • Authors: Singh, S.K.; Mishra, P.K.; Upadhyay, S.N.
  • Journal: Reviews in Chemical Engineering, 2023, 39(2), pp. 225–270

Abstract: A comprehensive review of recent advancements in the photocatalytic degradation of insecticides and pesticides. The article provides insights into the emerging technologies and methodologies in this crucial environmental research area.

5. Title: Kinetic analysis of the slow pyrolysis of paper wastes

  • Authors: Bhardwaj, G.; Kumar, M.; Mishra, P.K.; Upadhyay, S.N.
  • Journal: Biomass Conversion and Biorefinery, 2023, 13(4), pp. 3087–3100

Abstract: The study focuses on the kinetic analysis of the slow pyrolysis of paper wastes. The authors delve into the intricacies of the pyrolysis process and analyze the obtained kinetic data.

6. Title: Thermal degradation of dry kitchen waste: kinetics and pyrolysis products

  • Authors: Kumar, M.; Srivastava, N.; Upadhyay, S.N.; Mishra, P.K.
  • Journal: Biomass Conversion and Biorefinery, 2023, 13(4), pp. 2779–2796

Abstract: Exploring the thermal degradation of dry kitchen waste, this article investigates the kinetics and pyrolysis products. The research contributes valuable insights into waste management and energy recovery from kitchen waste.

 

 

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:

AKSHAY PANDEY | Innovation | Young Scientist Award

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Mr AKSHAY PANDEY | Innovation | Young Scientist Award

Project Consultant at  INDIAN INSTITUTE OF TECHNOLOGY ROORKEE, India

Akshay Pandey is a distinguished professional in the field of geosciences and computer science. He holds a Ph.D. from the Indian Institute of Technology-Roorkee, where his research focused on improving accuracy in vegetation classification on satellite data. Akshay has been an active member of various prestigious organizations, including the European Geosciences Union (EGU), American Geophysical Union (AGU), and the Emirati Society of GIS and Remote Sensing.

 

Publication Profile:🌟👨‍🎓

🎓 Education:

Ph.D. in Computer Science, Indian Institute of Technology-Roorkee, 2017-2023 (CGPA: 9.000/10.000). M.Tech in Computer Science and Engineering, OPJS University Rawatsar Rajasthan, 2014-2016 (80.00%). B.E. in Computer Science and Engineering, Rajiv Gandhi Proudyogiki Vishwavidyalaya Bhopal, 2008-2012 (71.00%). H.S.C, Saraswati H.S. School Chhatarpur, 2007-2008 (76.00%). S.S.C, Saraswati H.S. School Chhatarpur, 2005-2006 (84.00%)

🏆 Professional Achievements:

Founder of Raveneye Geospatial, a startup under TIDE, IIT Roorkee (Startup India Program by Govt. Of India) since 2019. Member of European Geosciences Union (EGU) ID 478133. IEEE Young Professional Member ID: 95426155. Member of the American Geophysical Union (AGU). Member of the Emirati Society of GIS and Remote Sensing ID 20210284. Lifetime Member of the Seismological Society of America.

🛠️ Professional Skills:

Geospatial Tools: ERDAS Imagine, ArcGIS, Google Earth, QGIS, PIX4D. UAV flight planning and data processing. Spectroradiometer: SVC-1024. Deep Learning. Web GIS: Open Layer, GeoExt, Apache, XAMPP, and other open-source platforms. Application Server: Geo-Server. Database: Post GIS (Basic), MySQL. Operating System: Linux and Windows. Space Management, System Networking, and Server Management. Database Server and RAID Server Configuration and Management. Hardware and Software Maintenance.

 

Research Focus 🌱🔬:

Akshay Pandey’s research primarily centers around the intersection of advanced computer vision and geospatial applications. His work spans diverse domains within the field: 🍃 Plant Pathology: Contributions to plant health with innovative deep learning models, such as a deep attention residual network and robust attention dense convolutional neural networks. Published in renowned journals like Neural Computing and Applications and Ecological Informatics. 🌾 Precision Agriculture: Innovative systems for crop identification and classification using UAV images, showcasing expertise in intelligent systems and conjugated dense convolutional neural networks. Published in Computers and Electronics in Agriculture. 📡 Remote Sensing Calibration: Expertise in satellite imagery calibration using multispectral UAV imagery, as highlighted in the Journal of the Indian Society of Remote Sensing. 🌳 Environmental Impact Assessment: Research involving spectro-radiometer and spectral indices for environmental impact assessment on mango tree leaves, emphasizing sustainable practices. 🛰️ Satellite Image Analysis: Contributions to the field of satellite image analysis, including an optimal RetinaNet model for automatic satellite image-based missile site detection, featured in the Defence Science Journal. Akshay Pandey’s versatile research portfolio showcases a commitment to advancing agricultural technology, environmental monitoring, and satellite image analysis through cutting-edge computational techniques. 🌐🌱🛰️

Citations:

The provided information appears to be related to a researcher’s citation metrics. Here’s a brief summary:

📚 Citation Metrics:

  • Citations: 82 citations across 9 documents.
  • h-index: 4.

The h-index of 4 indicates that there are at least 4 documents that have each been cited at least 4 times. This metric provides a measure of both the productivity and impact of a researcher’s work. The citation count of 82 suggests a notable influence in the academic community. 📊🔬

Publications Top Notes:

Research Articles by Akshay Pandey:

  1. Title: A Novel Change Point Detection Approach for Analysis of Time-Ordered Satellite Imagery
    • Authors: Yadav, A.; Jain, K.; Pandey, A.; Majumdar, J.
    • Journal: Journal of the Indian Society of Remote Sensing, 2023, 51(1), pp. 31–41
  2. Title: Plant Leaf Disease Classification using Deep Attention Residual Network Optimized by Opposition-Based Symbiotic Organisms Search Algorithm
    • Authors: Pandey, A.; Jain, K.
    • Journal: Neural Computing and Applications, 2022, 34(23), pp. 21049–21066
  3. Title: A Robust Deep Attention Dense Convolutional Neural Network for Plant Leaf Disease Identification and Classification from Smart Phone Captured Real World Images
    • Authors: Pandey, A.; Jain, K.
    • Journal: Ecological Informatics, 2022, 70, 101725
  4. Title: An Optimal RetinaNet Model for Automatic Satellite Image-Based Missile Site Detection
    • Authors: Yadav, A.; Jain, K.; Pandey, A.; Ranyal, E.; Majumdar, J.
    • Journal: Defence Science Journal, 2022, 72(5), pp. 753–761
  5. Title: An Intelligent System for Crop Identification and Classification from UAV Images using Conjugated Dense Convolutional Neural Network
    • Authors: Pandey, A.; Jain, K.
    • Journal: Computers and Electronics in Agriculture, 2022, 192, 106543

Akshay Pandey’s research spans diverse topics, including change point detection in satellite imagery, plant leaf disease classification, robust neural networks for image analysis, satellite image-based missile site detection, and intelligent systems for crop identification using UAV images. The significant citation counts reflect the impact and recognition of his contributions in these areas. 🛰️🌿🔬