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.

 

 

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. 🛰️🌿🔬