Maksym Lupei | Predictive Analytics | Best Paper Award

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Dr. Maksym Lupei | Predictive Analytics | Best Paper Award

Doctorate at The Pennsylvania State University, United States

Summary:

Dr. Maksym Lupei is a dedicated researcher and academic with extensive expertise in machine learning and computational genomics. Holding a Ph.D. in Information Technologies and Machine Learning from Uzhhorod National University, he has contributed significantly to the fields of text mining and artificial intelligence. Currently a Postdoctoral Researcher at The Pennsylvania State University, Dr. Lupei is recognized for his innovative work in developing large language models and optimizing computational frameworks for biomedical data analysis. His career reflects a blend of academic excellence and practical industry experience, underpinned by a strong commitment to advancing technology and data science.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

Ph.D. in Information Technologies and Machine Learning (2021)

  • Institution: Uzhhorod National University
  • Dissertation: Determining the Eligibility of Candidates for a Vacancy Using Artificial Neural Networks

MSc in Applied Mathematics (2013)

  • Institution: Uzhhorod National University
  • Thesis: .NET Websites Optimization

BSc in Applied Mathematics (2012)

  • Institution: Uzhhorod National University
  • Thesis: Modern Methods of Prediction

šŸ¢ Professional Experience:

Dr. Maksym Lupei is currently a Postdoctoral Researcher in Computer Science & Engineering at The Pennsylvania State University (since August 2023), where he leads projects involving large language models for biomedical data fact-checking, computational genomics, and metagenomics. His work includes developing open-source text mining services and optimizing GPU infrastructure. Previously, he served as a Senior Research Fellow at the V. M. Glushkov Institute of Cybernetics of the National Academy of Science of Ukraine, specializing in machine learning and text mining (January 2022 – August 2023). At Uzhhorod National University, Dr. Lupei was an Assistant Professor in the Department of Informative and Operating Systems (December 2019 – January 2023), teaching programming languages and machine learning courses.

Dr. Lupei’s industry experience includes roles as an Engineering Manager at TIBCO Jaspersoft (March 2014 – February 2021), where he led cross-functional teams and established Agile/Scrum processes, and as a Full Stack Developer at JustAnswer (March 2011 – February 2014) and Swan Software Solutions (August 2010 – March 2011).

Research Interests

Dr. Lupeiā€™s research interests encompass machine learning, large language models, computational genomics, metagenomics, and explainable artificial intelligence. His work focuses on processing large information arrays using mathematical methods, particularly in text mining.

Top Noted Publication:

 

 

Gaurav Sinha | Data Interpretation | Best Researcher Award

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Mr. Gaurav Sinha, Data Interpretation, Best Researcher Award

Gaurav Sinha at Amazon Web Services, United States

Summary:

Mr. Gaurav Sinha is a highly skilled Database Specialist with a strong background in cloud migrations, database architecture, and performance optimization. With a Bachelor of Engineering from BIT Mesra Ranchi and a series of AWS certifications, he possesses comprehensive expertise in designing and implementing database solutions on AWS. His experience spans from troubleshooting complex database issues to architecting large-scale, mission-critical environments. Mr. Sinha’s dedication to excellence and his ability to deliver innovative solutions make him a valuable asset in the field of cloud computing and database management.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

Bachelor of Engineering

  • BIT Mesra Ranchi

Professional Experience:

Mr. Gaurav Sinha is a seasoned Database Specialist with extensive experience in cloud migrations, database architecture, and performance optimization. Currently serving as a Senior Database Migration Consultant at Amazon Web Services in Houston, TX, he provides expertise on heterogeneous database migrations to AWS, designs migration solutions for customer databases, and addresses complex challenges around large-scale cloud migrations. He takes ownership of end-to-end delivery of migration projects, profiles and benchmarks customer databases, and identifies performance bottlenecks. His role involves architecting optimal AWS infrastructure and tuning database platform configurations for post-migration performance.

Prior to his role at AWS, Mr. Sinha worked as a Senior Database Administrator at Tata Consultancy Services, where he honed his skills in database tuning, troubleshooting, and migration. He designed and implemented data modeling, data warehouses, and provided intensive support for Oracle databases. His responsibilities included performance tuning, backup and recovery, and root cause analysis of internal errors. He also led the migration of databases to AWS RDS and VMs hosting databases to AWS EC2.

Research Interest:

Database Migration Strategies: Investigating various approaches and methodologies for migrating databases to cloud platforms like AWS, focusing on optimizing performance, minimizing downtime, and ensuring data integrity during the migration process.

Performance Optimization in Cloud Databases: Exploring techniques to optimize the performance of databases hosted on cloud platforms, such as fine-tuning database configurations, optimizing query execution plans, and leveraging cloud-native features for scalability and performance.

Data Security and Compliance in Cloud Environments: Researching best practices and technologies for ensuring data security, privacy, and compliance with regulatory requirements (such as GDPR or HIPAA) in cloud-based database environments, including encryption, access control, and auditing mechanisms.

Scalability and Elasticity of Cloud Databases: Investigating strategies for designing and managing highly scalable and elastic databases in cloud environments, including auto-scaling, sharding, and distributed database architectures.

Hybrid Cloud Database Solutions: Studying hybrid cloud architectures that integrate on-premises databases with cloud-based solutions, examining challenges and opportunities related to data synchronization, data consistency, and workload management across hybrid environments.

Database-as-a-Service (DBaaS) Models: Analyzing the benefits and challenges of adopting DBaaS models, such as managed database services offered by cloud providers, and investigating factors influencing organizations’ decisions to migrate to DBaaS solutions.

Machine Learning Applications in Database Management: Exploring the use of machine learning techniques for optimizing database performance, automating database administration tasks, and detecting anomalies or security threats in database systems.

Top Noted Publication:

Automating Root Cause Analysis of Refinery Incidents via Generative Deep Learning and Data Analytics

  • Author: GK Sinha
  • Journal: Journal of Technological Innovations
  • Volume: 4
  • Issue: 2
  • Year: 2023

Data Analytics-Enhanced Cloud-Native Computational Reservoir Simulation for Accelerated Oil Prospecting

  • Author: GK Sinha
  • Journal: Journal of Technological Innovations
  • Volume: 4
  • Issue: 2
  • Year: 2023

Utilizing Data Analytics in Computer Vision and Robotics for Autonomous Pipeline Integrity Inspections

  • Author: GK Sinha
  • Journal: Journal of Technological Innovations
  • Volume: 4
  • Issue: 1
  • Year: 2023

Data Analytics-Driven Optimization of Gas Lift Operations Using Reinforcement Learning for Increased Production Efficiency

  • Author: GK Sinha
  • Journal: Journal of Technological Innovations
  • Volume: 2
  • Issue: 4
  • Year: 2021

Developing a Data Analytics Framework for Environmental Impact Assessment and Carbon Footprint Reduction in Upstream Operations

  • Author: GK Sinha
  • Journal: Journal of Technological Innovations
  • Volume: 2
  • Issue: 1
  • Year: 2021

Anurag Upadhyay | Machine Learning Award | Best Researcher Award

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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