Prof. Dr. Xiaogang Lin | Biosensor Awards | Best Researcher Award

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Prof. Dr. Xiaogang Lin | Biosensor Awards | Best Researcher AwardĀ 

Prof. Dr. Xiaogang Lin, Chongqing University, China

Xiaogang Lin He earned his B.E. degree in Precision Instrument from Xi’an Technological University in 1998, followed by his M.A.Eng and Ph.D. degrees in Optical Engineering from Chongqing University in 2003 and 2008, respectively. Dr. Lin began his career as a technician at Mingguang Instrument Factory in 1998 before transitioning to academia as a Lecturer at Chongqing Universityā€™s College of Opto-electronic Engineering in 2003. He has since risen through the ranks, becoming an Assistant Professor, Associate Professor in 2010, and Professor in 2017. His research interests focus on photoelectric biosensing, biosensors, precision testing technology, and intelligent instruments, resulting in over 40 high-quality technical publications. Dr. Lin has also served as a visiting scholar at the University of Tennessee, Knoxville, in 2014 and 2017. He is an active member of the third Council of Opto-mechatronics Technology and Systems under the China Instrument and Control Society, as well as a senior member of the society. Additionally, he is an international TRIZ Association three-level certified expert and a national second-level innovation engineer. Dr. Lin has received the first prize of the Chongqing Science and Technology Progress Award and has hosted and participated in more than 20 provincial and ministerial research projects, including significant initiatives like the National Key R&D Program of China and the National Natural Science Foundation of China.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Xiaogang Lin

Dr. Xiaogang Lin is an outstanding candidate for the Best Researcher Award due to his extensive academic and professional achievements in the field of optical engineering and biosensing technologies. Born in Chongqing, China, in 1975, Dr. Lin has built a remarkable career, marked by significant contributions to research and education.

Education šŸŽ“

  • B.E. in Precise Instrument
    Xi’an Technological University, Xi’an, China (1998)
  • M.A. in Optical Engineering
    Chongqing University, Chongqing, China (2003)
  • Ph.D. in Optical Engineering
    Chongqing University, Chongqing, China (2008)

Work Experience šŸ’¼

  • Technician
    Mingguang Instrument Factory, China (1998)
  • Lecturer
    College of Opto-electronic Engineering, Chongqing University (2003)
  • Assistant Professor
    College of Opto-electronic Engineering, Chongqing University (2003 – 2010)
  • Associate Professor
    College of Opto-electronic Engineering, Chongqing University (2010 – 2017)
  • Professor
    College of Opto-electronic Engineering, Chongqing University (2017 – Present)
  • Visiting Scholar
    University of Tennessee, Knoxville, USA (2014, 2017)

Achievements šŸŒŸ

  • Over 40 high-quality technical publications in the field of optical engineering and biosensing.
  • Member of the Third Council of Opto-mechatronics Technology and Systems, China Instrument and Control Society.
  • Senior member of the China Instrument and Control Society.
  • International TRIZ Association three-level certified expert.
  • National second-level innovation engineer.

Awards and Honors šŸ†

  • First Prize of Chongqing Science and Technology Progress Award
    For significant contributions to the field of optical engineering and biosensing.
  • Hosted and participated in more than 20 provincial and ministerial research projects, including:
    • National Key R&D Program of China
    • National Natural Science Foundation of China

Publication Top Notes:

A Study on Pigment Composition of Buddhist Cave Paintings Based on Hyperspectral Technology

A Perovskite Material Screening and Performance Study Based on Asymmetric Convolutional Blocks

Advancements in Chemical and Biosensors for Point-of-Care Detection of Acrylamide

ACEK Biosensor for the Minute-Scale Quantification of Breast Cancer ctDNA

An alternating current electrokinetics biosensor for rapid on-site serological screening of Taenia solium cysticercosis infection

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

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

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 Masterā€™s degree in Automotive Engineering from Coventry University and a Bachelorā€™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:

šŸ”§ Mechanical Design & Modelling
šŸ“Š Teaching Management
šŸ› ļø Project Execution & Fulfillment
šŸ“š Curriculum Development
šŸ¤ Vendor Management
šŸ‘©ā€šŸ« Training & Mentoring

PublicationĀ 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 AwardĀ 

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. šŸŒŸšŸ‘Øā€šŸŽ“šŸ”§

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.

šŸŽ“ Education

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

šŸ§‘ā€šŸ« Experience

  • šŸ« Teaching Assistant (2023ā€“2025), Woxsen University: Led labs and classes on AutoCAD, Fusion 360, SolidWorks, and Robotics.
  • šŸ« Teaching Assistant (2021ā€“2022), Mahindra University: Conducted classes on AutoCAD, SolidWorks, and Engineering Drawing.
  • āš™ļø Design Engineer (2020ā€“2021), Lyonstone Technologies: Expertise in ANSYS, SolidWorks, and Catia, conducting advanced simulations and performance analysis.

šŸ† Achievements

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

šŸ› ļø Key Projects

  • šŸ¤– WOXBOTS: Swarm robotics platform for collision avoidance.
  • šŸšœ Agriculture Drone: AI-powered drone for crop health monitoring.
  • šŸ›’ Warehouse Automation: Pick-and-Place Robot for enhanced efficiency.
  • šŸ”„ Firefighting Drone: Equipped with human detection and suppression systems.
  • šŸ› ļø 3D-Printed V8 Engine: Simulated and printed prototype using SOLIDWORKS and ANSYS.

šŸ“œ Patents

  • šŸ›”ļø Multi-Agent Co-ordination System with Swarm Behavior (2024)
  • ā™»ļø Eco-Forge: Sustainable 3D Filament Extruder.
  • šŸ¤– AI-Based Robotic Pick-and-Place System for Warehouses.
  • šŸ“¦ Automatic Segregation of E-Commerce Products with 7DOF Arm.
  • šŸŸļø Real-Time 3D Projection System for Live Matches.

šŸŽÆ Professional Development

  • šŸ§  AI & ROS for Robotics (IIIT Kancheepuram, 2023)
  • šŸŒ IoT & Digital Twins (IIIT Sricity, 2024)
  • šŸ–Øļø 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

Dr. Mehrdad Kaveh | Forecasting | Best Researcher Award

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Dr. Mehrdad Kaveh | Forecasting | Best Researcher Award

Dr. Mehrdad Kaveh, K. N. Toosi University of Technology, Iran

Mehrdad Kaveh is a highly qualified expert in Surveying Engineering (GIS), holding a Ph.D. and M.Sc. from K.N. Toosi University of Technology, along with a B.Sc. from Babol Noshirvani University of Technology. His academic achievements include outstanding GPAs throughout his educational journey. He has contributed significantly to the field through several conference papers focusing on topics like landslide risk zoning, healthcare GIS, and urban transportation networks. With extensive teaching experience, Mehrdad has instructed ArcGIS and Optimization Algorithms at various universities, demonstrating his proficiency in GIS software and algorithmic optimization. His research spans diverse areas such as crisis management, machine learning implementation, SAR image processing, and spatial database design in Java. Proficient in ArcGIS, QGIS, GAMS, and programming languages like Matlab, Java, Python, and SQL, Mehrdad Kaveh combines academic excellence with practical skills in spatial analysis, optimization, and deep learning applications in environmental modeling.

Professional Profile:

ORCID

 

Education:

  • Ph.D. in Surveying Engineering (GIS), K.N. Toosi University of Technology, GPA: 19.21
  • M.Sc. in Surveying Engineering (GIS), K.N. Toosi University of Technology, GPA: 18.14
  • B.Sc. in Surveying Engineering, Babol Noshirvani University of Technology, GPA: 16.00

Teaching Experience:

  • Instructor of ArcGIS software at various universities.
  • Teaching Assistant and Lecturer in Surveying courses.
  • Instructor of Optimization Algorithms.
  • Instructor of Machine Learning Algorithms.
  • Lecturer for undergraduate and graduate entrance exam courses.

Research and Practical Experience:

  • Application of GIS and RS in crisis management and urban planning.
  • Health GIS and healthcare network management.
  • GIS and multi-criteria decision analysis.
  • Simulation and implementation of machine learning and meta-heuristic algorithms.
  • Feature selection and classification of SAR images (image processing).
  • Multi-objective optimization problems simulation and implementation.
  • Design of spatial databases in Java.
  • Air pollution modeling using deep learning algorithms.

Skills:

  • Software Proficiency: ArcGIS, QGIS, GAMS, AutoCAD, Land, Microsoft Office
  • Programming Languages: Matlab, Java, Python, SQL Server

Publication top Notes:

 

A crossover-based multi-objective discrete particle swarm optimization model for solving multi-modal routing problems

TDMBBO: a novel three-dimensional migration model of biogeography-based optimization (case study: facility planning and benchmark problems)

Optimal Band Selection Using Evolutionary Machine Learning to Improve the Accuracy of Hyper-spectral Images Classification: a Novel Migration-Based Particle Swarm Optimization

Predicting PM10 Concentrations Using Evolutionary Deep Neural Network and Satellite-Derived Aerosol Optical Depth

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review