Balaji Srinivasan | Machine Learning Method | Best Researcher Award

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Mr. Balaji Srinivasan | Machine Learning Method | Best Researcher Award

Balaji Srinivasan at Engineers India Limited, India

Summary:

Balaji Srinivasan is a seasoned analyst with over 16 years of experience in the refinery and petrochemical industries. Specializing in asset lifecycle management and local stress analysis, he has played a pivotal role in ensuring the safety and reliability of complex systems. His expertise in finite element analysis and advanced technology development has earned him recognition in the field.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

Balaji Srinivasan holds a solid educational foundation in engineering, specializing in fields pertinent to the refinery and petrochemical industries. His education laid the groundwork for a successful career in managing complex projects and conducting advanced technology development activities.

šŸ¢ Professional Experience:

With over 16 years of experience, Balaji Srinivasan has made significant contributions to the refinery and petrochemical sectors. He has been with Engineers India Limited in New Delhi since September 2007, where he specializes in local stress analysis. His expertise extends to conducting advanced technology development activities, including transient thermal and creep-fatigue interaction studies.

Balaji has executed finite element, fatigue, creep, and creep-fatigue analyses for pressure vessels and piping components, including high-pressure and high-temperature reactors, coke drums, dryers, and agitator vessels. He has led complex equipment troubleshooting exercises, ensuring safe and reliable plant operations through numerical simulations to identify root causes of fault sequences and performing fitness-for-service assessments on critical components.

Balaji’s knowledge of FEA software like ABAQUS and ANSYS has been instrumental in solving unconventional, complex, and multidisciplinary problems arising from pre- and post-commissioning activities. His interactive management approach has enhanced output, maximized quality, and increased employee satisfaction.

Research Interests:

Balaji’s research interests lie in asset lifecycle management, design basis assessment, local stress analysis, and advanced technology development for the refinery and petrochemical industries. He is particularly focused on enhancing the reliability and safety of critical infrastructure through innovative analysis and simulation techniques.

Author Metric:

Balaji Srinivasan has contributed to several industry-related publications and research projects. His work is well-regarded in the field of stress analysis and lifecycle management, with a focus on enhancing system reliability and safety. His publications have garnered citations, reflecting the impact of his research on the industry.

Top Noted Publication:

1. Strain engineering and one-dimensional organization of metalā€“insulator domains in single-crystal vanadium dioxide beams

  • Authors: J. Cao, E. Ertekin, V. Srinivasan, W. Fan, S. Huang, H. Zheng, J.W.L. Yim, et al.
  • Journal: Nature Nanotechnology
  • Volume: 4
  • Issue: 11
  • Pages: 732-737
  • Year: 2009
  • DOI: 10.1038/nnano.2009.266
  • Citations: 676

2. Mechanism of thermal reversal of the (fulvalene) tetracarbonyldiruthenium photoisomerization: toward molecular solarā€“thermal energy storage

  • Authors: Y. Kanai, V. Srinivasan, S.K. Meier, K.P.C. Vollhardt, J.C. Grossman
  • Journal: Angewandte Chemie International Edition
  • Volume: 49
  • Issue: 47
  • Pages: 8926-8929
  • Year: 2010
  • DOI: 10.1002/anie.201003643
  • Citations: 136

3. Proton momentum distribution in water: an open path integral molecular dynamics study

  • Authors: J.A. Morrone, V. Srinivasan, D. Sebastiani, R. Car
  • Journal: The Journal of Chemical Physics
  • Volume: 126
  • Issue: 23
  • Pages: 234504
  • Year: 2007
  • DOI: 10.1063/1.2746330
  • Citations: 90

4. Interplay between intrinsic defects, doping, and free carrier concentration in SrTiOā‚ƒ thin films

  • Authors: E. Ertekin, V. Srinivasan, J. Ravichandran, P.B. Rossen, W. Siemons, et al.
  • Journal: Physical Review Bā€”Condensed Matter and Materials Physics
  • Volume: 85
  • Issue: 19
  • Article: 195460
  • Year: 2012
  • DOI: 10.1103/PhysRevB.85.195460
  • Citations: 56

5. Exploring the potential of fulvalene dimetals as platforms for molecular solar thermal energy storage: computations, syntheses, structures, kinetics, and catalysis

  • Authors: K. Bƶrjesson, D. Ćoso, V. Gray, J.C. Grossman, J. Guan, C.B. Harris, et al.
  • Journal: Chemistryā€“A European Journal
  • Volume: 20
  • Issue: 47
  • Pages: 15587-15604
  • Year: 2014
  • DOI: 10.1002/chem.201402857
  • Citations: 44

Anurag Upadhyay | Machine Learning Award | Best Researcher Award

Posted on by Best Paper Award

Mr. Anurag Upadhyay, Machine Learning Award, Best Researcher Award

Anurag Upadhyay at DGI GREATER NOIDA, India

Summary:

Mr. Anurag Upadhyay is a dedicated academician and experienced educator with over 15 years of teaching experience in the field of computer science and technology. He holds a Master’s degree (M.Tech) in Computer Science from IFTM University, Moradabad, and a Bachelor’s degree (B.Tech) in Computer Science from MIT Moradabad (UPTU).

Throughout his career, Mr. Upadhyay has served in various teaching positions at esteemed institutions such as IFTM University Moradabad, KITPS Moradabad, and RIMT Bareilly, among others. Currently, he is an Assistant Professor at Dronacharya Group of Institutions, Greater Noida, where he continues to impart his knowledge and expertise to aspiring students.

Professional Profile:

Google Scholar Profile

šŸ‘©ā€šŸŽ“Education & Qualification:

Professional Experience: Ā 

Mr. Anurag Upadhyay has over 15 years of experience in the field of teaching. He has held various positions in different educational institutions, including lecturer positions at Govt Girls Polytechnic Bareilly, FIET Bareilly, and CET IFTM Moradabad. He served as an Assistant Professor at IFTM University Moradabad, KITPS Moradabad, RIMT Bareilly, IIMT Greater Noida, and Dronacharya Group of Institutions Greater Noida. Throughout his career, Mr. Upadhyay has taught a wide range of subjects, including Machine Learning, Cloud Computing, Operating System, Information Technology, Computer Organization, Distributed System, Data Mining & Data Warehousing, Computer Concepts & Programming in ‘C,’ Soft Computing, Design of Algorithm, Software Engineering, and Compiler. He is an active member of professional organizations such as CSTA, ACM, and IAENG. Additionally, Mr. Upadhyay has undergone training and short-term courses in various areas related to computer science and technology.

Research Interest:

Machine Learning: Exploring algorithms and techniques to enable computers to learn from and make predictions or decisions based on data.

Cloud Computing: Investigating cloud-based services, architectures, and technologies for efficient data storage, processing, and management.

Operating Systems: Studying the design, implementation, and optimization of operating systems to enhance system performance and resource utilization.

Information Technology: Researching advancements in IT infrastructure, applications, and management practices to support organizational objectives and improve efficiency.

Data Mining & Data Warehousing: Analyzing large datasets to discover patterns, trends, and insights that can drive informed decision-making in various domains.

Computer Organization: Investigating the architecture and design of computer systems, including hardware components and their interactions, to optimize performance and functionality.

Software Engineering: Exploring methodologies, tools, and best practices for the systematic development, maintenance, and evolution of software systems.

Compiler Design: Studying the theory and implementation of compilers, which translate high-level programming languages into machine-readable code for execution on hardware platforms.

Publication Top Noted:

Title: Empirical Comparison by data mining Classification algorithms (C 4.5 & C 5.0) for thyroid cancer data set

  • Authors: A. Upadhayay, S. Shukla, S. Kumar
  • Journal: International Journal of Computer Science & Communication Networks
  • Volume: 3
  • Issue: 1
  • Page: 64
  • Year: 2013
  • Citation Count: 36

Title: A fresh loom for multilevel feedback queue scheduling algorithm

  • Authors: R.K. Yadav, A. Upadhayay
  • Journal: International Journal of Advances in Engineering Sciences
  • Volume: 2
  • Issue: 3
  • Pages: 21-23
  • Year: 2012
  • Citation Count: 19

Title: Animal husbandry practices in Pithoragarh district of Uttarakhand state

  • Authors: S. Shukla, D.P. Tiwari, A. Kumar, B.C. Mondal, A.K. Upadhayay
  • Journal: Indian Journal of Animal Sciences
  • Volume: 77
  • Issue: 11
  • Page: 1201
  • Year: 2007
  • Citation Count: 12

Title: Evaluation of fish curry from farmed and wild caught Indian major carps of Tarai Region, Uttarakhand

  • Authors: M. Gupta, A.K. Upadhayay, N.N. Pandey, P. Kumar
  • Publisher: Society of Fisheries Technologists (India) Cochin
  • Year: 2013
  • Citation Count: 2

Title: Cryptography and Network Security

  • Author: Anurag Upadhyay
  • Publisher: Lambert Publishing House
  • Volume: 1
  • ISBN: 978-620-2-02336-8
  • Year: 2017