Ms. Devinder Kaur | Computer Science | Women Researcher Award

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Ms. Devinder Kaur | Computer Science | Women Researcher Award 

Ms. Devinder Kaur, Mata Gujri College, India

Dr. Devinder Kaur is an experienced academician currently serving as an Assistant Professor in the Department of Computer Applications at Mata Gujri College, Fatehgarh Sahib, with over 20 years of teaching experience. She holds a Bachelor’s degree in Computer Applications from Punjabi University, Patiala, and a Master’s degree in Computer Applications from Punjab Technical University, Jalandhar. She is presently pursuing her Ph.D. in Computer Science at Sri Guru Granth Sahib World University, Fatehgarh Sahib. Dr. Kaur has authored two academic books—A Practical Approach to Java Programming and An Introduction to System Software—and contributed numerous research papers and book chapters in both national and international journals and conference proceedings. Her recent research interests focus on IoT and machine learning applications in livestock health monitoring, cybersecurity, environmental sustainability, and green computing. She has also actively participated in national-level conferences, addressing critical topics like social media addiction, privacy concerns, and e-waste management. Dr. Kaur’s scholarly contributions reflect her dedication to bridging practical technology with real-world challenges in both academic and agricultural domains.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Women Researcher Award 

Dr. Devinder Kaur is a highly qualified and accomplished academic with over 20 years of teaching experience in Computer Science, currently serving as an Assistant Professor at Mata Gujri College, Fatehgarh Sahib. She holds Bachelor’s and Master’s degrees in Computer Applications and is currently pursuing her Ph.D. in Computer Science from Sri Granth Sahib World University, highlighting her continuous academic advancement.

🎓 Education

  • 🎓 Bachelors of Computer Applications (BCA) from Punjabi University, Patiala.

  • 🎓 Masters of Computer Applications (MCA) from Punjab Technical University, Jalandhar.

  • 📚 Pursuing PhD in Computer Science from Sri Granth Sahib World University, Fatehgarh Sahib.

👩‍🏫 Work Experience

  • 🏫 Assistant Professor at Mata Gujri College, Fatehgarh Sahib.

  • 📅 20 years of teaching experience in the field of Computer Science.

🏆 Achievements, Awards & Honors

  • 📖 Published Books:

    • “A Practical Approach to Java Programming” – 📘 Unistar Books Pvt Ltd (2018)

    • “An Introduction to System Software” – 📗 Narosa Publishing House (2020)

  • 📝 Research Contributions:

    • 📚 Multiple book chapters and conference papers on topics such as:

      • Green Computing 🌱

      • Social Media Psychology 📱

      • E-Waste Management ♻️

      • IoT and Machine Learning in Livestock Health 🐄💡

      • Breast Cancer Classification Using ML 🎗️🧠

  • 🔗 Featured in IEEE, Auerbach Publications, and peer-reviewed journals like Discover Internet of Things, IJIRAE, Journal of Electrical Systems.

  • 🌐 Contributed to multidisciplinary and international conferences on smart tech, computing trends, and innovative research in AI & IoT.

Publication Top Notes:

CITED:409
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Prof. Dr. Qinghai Liu | Graph Algorithm Awards | Best Researcher Award

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Prof. Dr. Qinghai Liu | Graph Algorithm Awards | Best Researcher Award 

Prof. Dr. Qinghai Liu, Fuzhou University, China

Qinghai Liu is a professor at the School of Mathematics and Statistics at Fuzhou University, China. He earned his Ph.D. in Applied Mathematics from Xinjiang University in 2012, following a Master’s degree in Operations Research and Cybernetics (2009) and a Bachelor’s degree in Mathematics and Applied Mathematics (2005) from the same institution and Zhengzhou University, respectively. He has held various academic positions at Fuzhou University, including Associate Professor and Lecturer, and conducted postdoctoral research at the School of Mathematics, Georgia Institute of Technology (2016–2018). His research focuses on graph theory, combinatorial optimization, and PCB routing algorithms. With numerous publications in high-impact journals, he has contributed significantly to areas such as connectivity in graphs, routing optimization, and algorithmic graph theory.

Professional Profile:

ORCID

Suitability of Qinghai Liu for the Best Researcher Award

Dr. Qinghai Liu is a highly qualified candidate for the Best Researcher Award, given his significant contributions to graph theory, applied mathematics, and optimization algorithms. With a Ph.D. in Applied Mathematics from Xinjiang University (2012) and a professorship at Fuzhou University, he has made notable advancements in discrete mathematics, combinatorial optimization, and circuit routing algorithms.

📚 Education

🎓 Doctor of Applied Mathematics (2009–2012) – Xinjiang University, Urumqi, China
🎓 Master of Operations Research and Cybernetics (2006–2009) – Xinjiang University, Urumqi, China
🎓 Bachelor of Mathematics and Applied Mathematics (2001–2005) – Zhengzhou University, Zhengzhou, China

👨‍🏫 Work Experience

🏅 Professor (2022–Present) – School of Mathematics and Statistics, Fuzhou University
📊 Associate Professor (2021–2021) – School of Mathematics and Statistics, Fuzhou University
🔬 Postdoctoral Researcher (2016–2018) – School of Mathematics, Georgia Institute of Technology, USA
📊 Associate Professor (2015–2021) – College of Mathematics and Computer Science, Fuzhou University
📖 Lecturer (2012–2015) – College of Mathematics and Computer Science, Fuzhou University

🏆 Achievements & Contributions

📈 Published 17+ research papers in top-tier journals and conferences on graph theory, combinatorics, and optimization
🔍 Research contributions in areas such as Graph Theory, PCB Routing Algorithms, and Discrete Mathematics
📚 Collaborated with leading researchers globally in combinatorial optimization and theoretical computer science

🎖️ Awards & Honors

🏆 National Science Fund for Distinguished Young Scholars
🌍 Postdoctoral Research Fellowship – Georgia Institute of Technology, USA
📜 Recognized for Excellence in Research – Fuzhou University
✨ Invited Speaker at International Conferences on Discrete Mathematics and Graph Theory

Publication Top Notes:

Redundant Trees in Bipartite Graphs

Highly connected triples and Mader’s conjecture

Gallai’s conjecture for 3-degenerated graphs

Connectivity keeping trees in 3-connected or 3-edge-connected graphs

Mader’s conjecture for graphs with small connectivity

The chromatic number of {ISK4, diamond, bowtie}‐free graphs

A characterization of nonfeasible sets in matching covered graphs

 

Dr. Bharga prajwal pathri | Swarm Intelligence Award | Best Researcher Award

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Dr. Bharga prajwal pathri | Swarm Intelligence Award | Best Researcher Award 

Dr. Bharga prajwal pathri, Woxsen University, India

Bhargav Prajwal Pathri is an Associate Professor and Programme Director of the Mechatronics Department at Woxsen University, Hyderabad, India. With a Ph.D. in Mechanical Engineering from the Malaviya National Institute of Technology (NIT) Jaipur, his research focuses on mechanical systems, automation, bio-printing, and IoT. He has a strong educational background, holding a Master’s degree in Automotive Engineering from Coventry University and a Bachelor’s degree in Mechanical Engineering from Jawaharlal Nehru Technological University. Bhargav has over nine years of experience in academia, having taught at various institutions including JK Lakshmipat University and Effat University. He is skilled in mechanical design and analysis using advanced software such as CATIA, SolidWorks, and Abaqus. In addition to his teaching role, he actively mentors students on projects, engages in research, and contributes to curriculum development. A passionate learner, Bhargav enjoys photography, traveling, reading novels, and riding cars and bikes in his free time. He is dedicated to fostering a creative learning environment and is committed to continuous professional growth.

Professional Profile:

ORCID

Summary of Bhargav Prajwal Pathri

Professional Overview: Bhargav Prajwal Pathri is an accomplished and versatile professional with nine years of experience in mechanical design, modeling, teaching, research, and project management. He currently serves as an Associate Professor and Programme Director in the Mechatronics Department at Woxsen University, Hyderabad.

Education:

  • Ph.D. in Mechanical Engineering
    Malaviya National Institute of Technology, Jaipur, India (2013 – 2018)

    • Project: Characterization and machinability study of various marble stones for sustainable processing.
  • M.Sc. in Automotive Engineering
    Coventry University, United Kingdom (2009 – 2010)

    • Project: Design and manufacturing of upright for a Formula One student sports car.
  • B.Tech in Mechanical Engineering
    Jawaharlal Nehru Technological University, Hyderabad, India (2004 – 2008)

    • Project: Development of variable part programming for turning centrifugal compressor impeller using SINUMERIK CNC System.

Work Experience:

  • Associate Professor
    Woxsen University, School of Technology, Hyderabad, India (Jan 2024 – Present)

    • Focused on teaching, research, and mentoring students on projects.
  • Assistant Professor
    Woxsen University, School of Technology, Hyderabad, India (Jan 2022 – Jan 2024)

    • Engaged in teaching and student mentorship.
  • Assistant Professor
    JK Lakshmipat University, Jaipur, India (July 2019 – Jan 2022)
  • Assistant Professor
    Effat University, Jeddah, Saudi Arabia (Nov 2018 – June 2019)
  • Research Scholar
    Malaviya National Institute of Technology, Jaipur, India (July 2013 – June 2018)

Key Skills and Expertise:

  • Proficient in CAD/CAE software: CATIA V5, Inventor, SolidWorks, Altair Hyperworks, and Abaqus.
  • Strong analytical skills in engineering design, quality inspection, and technical documentation.
  • Experienced in curriculum development and fostering a creative learning environment.
  • Demonstrated leadership in workshops and conferences related to engineering and technology.

Areas of Expertise:

🔧 Mechanical Design & Modelling
📊 Teaching Management
🛠️ Project Execution & Fulfillment
📚 Curriculum Development
🤝 Vendor Management
👩‍🏫 Training & Mentoring

Publication Top Notes

EcoSprout: Machine Learning-Powered Smart Sprinkler System

S3T: A New Self-Supervised Learning with Swin Transformer

Swarm Intelligence in Action: Particle Swarm Optimization and Rendezvous Algorithms for Swarm Robotics

Electric discharge machining: A comprehensive review for difficult to cut materials

Medical Imaging and Analysis of Thermal Necrosis During Bone Grinding: Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-III) in Healthcare

 

Mr. Krishnavamshi Gandur | Swarm Intellgence Awards | Best Researcher Award

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Mr. Krishnavamshi Gandur | Swarm Intellgence Awards | Best Researcher Award 

Mr. Krishnavamshi Gandur, Woxsen University, India

Krishnavamshi Ganduri is a dedicated PhD candidate in Mechatronics at Woxsen University, Hyderabad, India, where he explores the fusion of mechanical, electrical, and computer engineering to devise innovative solutions for real-world challenges. With a strong foundation in robotics and automation, he aims to contribute to advancements in artificial intelligence. As a Teaching Assistant, he has led classes and supervised labs, focusing on software like AutoCAD, SolidWorks, and 3D printing, while also guiding student robotics projects. His academic journey includes a B.Tech in Mechanical Engineering and an M.Tech in Thermal Engineering, complemented by professional experience as a Design Engineer. Krishnavamshi has received accolades for his innovative projects, including a 1st place award for designing a paper cutting machine using the Geneva mechanism. He is proficient in multiple programming languages and CAD software, with several patents to his name, showcasing his commitment to pushing the boundaries of technology and education. 🌟👨‍🎓🔧

Professional Profile:

ORCID

Suitability for Best Researcher Award

Krishnavamshi Ganduri is a highly suitable candidate for the Best Researcher Award based on his exceptional academic background, technical skills, professional achievements, and innovative research contributions. Below is a summary of the key factors that underscore his eligibility.

🎓 Education

  • 📚 Ph.D. in Robotics, Woxsen University (2021–2025)
    Thesis: Swarm Robotics using PSO and Rendezvous Algorithms
  • 📚 M.Tech. in Thermal Engineering, CMR Technical Campus (2018–2021)
    Thesis: CFD Analysis of Diesel-Methanol IC Engine
  • 📚 B.Tech. in Mechanical Engineering, Adams Engineering College (2015–2018)
  • 📚 Diploma in Mechanical Engineering, Govt. Polytechnic (2012–2015)

🧑‍🏫 Experience

  • 🏫 Teaching Assistant (2023–2025), Woxsen University: Led labs and classes on AutoCAD, Fusion 360, SolidWorks, and Robotics.
  • 🏫 Teaching Assistant (2021–2022), Mahindra University: Conducted classes on AutoCAD, SolidWorks, and Engineering Drawing.
  • ⚙️ Design Engineer (2020–2021), Lyonstone Technologies: Expertise in ANSYS, SolidWorks, and Catia, conducting advanced simulations and performance analysis.

🏆 Achievements

  • 🏅 1st Place: Innovation of Geneva Mechanism Paper Cutter, PROJECT-EXPO (2017).
  • 🏅 1st Place: Scored 100/100 in Engineering Drawing, Diploma (2013).
  • 📜 Certified CAD/CAE Engineer, MSME Govt. of India.

🛠️ Key Projects

  • 🤖 WOXBOTS: Swarm robotics platform for collision avoidance.
  • 🚜 Agriculture Drone: AI-powered drone for crop health monitoring.
  • 🛒 Warehouse Automation: Pick-and-Place Robot for enhanced efficiency.
  • 🔥 Firefighting Drone: Equipped with human detection and suppression systems.
  • 🛠️ 3D-Printed V8 Engine: Simulated and printed prototype using SOLIDWORKS and ANSYS.

📜 Patents

  • 🛡️ Multi-Agent Co-ordination System with Swarm Behavior (2024)
  • ♻️ Eco-Forge: Sustainable 3D Filament Extruder.
  • 🤖 AI-Based Robotic Pick-and-Place System for Warehouses.
  • 📦 Automatic Segregation of E-Commerce Products with 7DOF Arm.
  • 🏟️ Real-Time 3D Projection System for Live Matches.

🎯 Professional Development

  • 🧠 AI & ROS for Robotics (IIIT Kancheepuram, 2023)
  • 🌐 IoT & Digital Twins (IIIT Sricity, 2024)
  • 🖨️ 3D Printing & Design (IIIT Basara, 2023).

Publication Top Notes:

Swarm Intelligence in Action: Particle Swarm Optimization and Rendezvous Algorithms for Swarm Robotics

EcoSprout: Machine Learning-Powered Smart Sprinkler System

CFD analysis of diesel-methanol blend in 4-stroke variable compression ratio internal combustion engine