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

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

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

Dr. Yue Wang | Sensor development Award | Best Researcher Award

Dr. Yue Wang | Sensor development Award | Best Researcher Award 

Dr. Yue Wang, University of Science and Technology Liaoning, China

Dr. Yue Wang is an Associate Professor at the School of Chemical Engineering at the University of Science and Technology Liaoning in China. He earned his Bachelor’s degree from the University of Science and Technology Anshan and both his Master’s and Doctorate degrees from the University of Science and Technology Liaoning and Saitama Institute of Technology, Japan, respectively. Since joining the University of Science and Technology Liaoning in 2006, Dr. Wang has focused his research on sensors and biosensors, biofuel cells, supercapacitors, energy harvesting, and artificial muscles. His work has resulted in over 60 published scientific papers, garnering approximately 600 citations, reflecting his significant contributions to the field. Dr. Wang has secured multiple research grants from various institutions, including the Education Department of Liaoning Province and the Natural Science Foundation of Liaoning Province, to advance his projects on conductive sensors, pesticide sensors, electrochemical biosensors, and wearable smart sensing technologies. Additionally, he completed a visiting scholarship at the University of Texas at Dallas in 2019-2020, further enhancing his academic and research expertise.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Yue Wang

Yue Wang is an exemplary candidate for the Best Researcher Award, primarily due to his substantial academic qualifications, extensive research contributions, and impactful work in the field of Material Science, specifically within sensor and biosensor technologies.

Education

  • Bachelor’s Degree in Material Science
    University of Science and Technology Anshan, China
    September 1998 – July 2002
  • Master’s Degree in Material Science
    University of Science and Technology Liaoning, China
    September 2003 – March 2006
  • Ph.D. in Material Science
    Saitama Institute of Technology, Japan
    April 2008 – March 2011

Work Experience

  • Associate Professor
    University of Science and Technology Liaoning, China
    April 2006 – Present
  • Visiting Scholar
    University of Texas at Dallas
    April 2019 – March 2020

Publication top Notes:

A carbon black–doped chalcopyrite–based electrochemical sensor for determination of hydrogen peroxide

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Crab gill–derived nanorod-like carbons as bifunctional electrochemical sensors for detection of hydrogen peroxide and glucose

Cellulose-derived hierarchical porous carbon based electrochemical sensor for simultaneous detection of catechol and hydroquinone

A triphenylamine based fluorescent probe for Zn2+ detection and its applicability in live cell imaging

1,8-naphthalimide-triphenylamine-based red-emitting fluorescence probes for the detection of hydrazine in real water samples and applications in bioimaging in vivo

Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award

Assist Prof Dr. Loknath Sai Ambati | Activity detection Award | Best Researcher Award 

Assist Prof Dr. Loknath Sai Ambati, Oklahoma City University, United States

Dr. Loknath Sai Ambati is an accomplished academic and researcher specializing in Information Systems and Data Analytics. Currently serving as an Assistant Professor of Data Analytics at Oklahoma City University, Dr. Loknath Sai Ambati holds a Doctor of Philosophy in Information Systems, with a specialization in Artificial Intelligence, from Dakota State University, where they also earned two master’s degrees in Information Systems and Data Analytics. With over five years of teaching experience, they have instructed various courses at both undergraduate and graduate levels, focusing on business analytics, healthcare analytics, and social media mining.The Activity Detection Award celebrates innovations in behavioral recognition technology. Explore eligibility, qualifications, publications, and submission guidelines for this esteemed recognition.

Professional Profile:

SCOPUS

 

Summary of Suitability for Best Researcher Award: Loknath Sai Ambati

Based on Loknath Sai Ambati’s impressive educational background, research contributions, and professional experience, he is a highly suitable candidate for the Best Researcher Award.

Education

Dakota State University, Madison, South Dakota
Doctor of Philosophy in Information Systems (Artificial Intelligence)
Master of Science in Information Systems
Master of Science in Data Analytics
GPA: 4.0/4.0
August 2018 – April 2023 (PhD)
August 2019 – December 2020 (MS in Information Systems)
August 2016 – December 2017 (MS in Data Analytics)

VIT University, Chennai, India
Bachelor of Technology in Electronics and Communication Engineering
GPA: 8.55/10
July 2012 – May 2016

Work Experience

Assistant Professor of Data Analytics
Oklahoma City University
September 2023 – Present

  • Teaching graduate-level Data Analytics courses.
  • Engaging in research activities related to Information Systems and Data Analytics.
  • Participating in service activities, including serving on review committees for various conferences and journals.
  • Serving as the Faculty Advisor for the Indian Student Association at OCU.

Visiting Assistant Professor of Business Analytics
Indiana University
May 2022 – August 2023

  • Teaching various Business Analytics courses at both undergraduate and graduate levels.
  • Conducting research activities in healthcare and social media analytics.
  • Participating in service activities, including serving on review committees for conferences and journals.

Graduate Research Assistant
Dakota State University
August 2018 – May 2022

  • Worked on innovations in wearable technology integrated with Artificial Intelligence for healthcare.
  • Assisted the supervisor with research projects and interacted with students regarding course content.
  • Volunteered as an instructor for certain courses as needed.

Analytics Developer
Baylor Scott and White Health
February 2018 – August 2018

  • Applied machine learning algorithms to denial data, achieving savings of up to $0.5 million on denials.
  • Implemented statistical models to reduce denial claims and enhance revenue efficiency.
  • Analyzed correlations between physician coding behaviors and Medicare Risk Adjustment Factor (RAF) scores.
  • Technologies used: Power BI, R, SAS, Python, SQL, MicroStrategy, Advanced Excel.

Publication top Notes:

Human Body Full-body Motion Gesture Image Feature Capture in Mobile Sensor Networks

Intrusion Detection System: A Comparative Study of Machine Learning-Based IDS

Explosive force acquisition of sprinter lower limb in training based on WSN

Two-phase classification: ANN and A-SVM classifiers on motor imagery BCI

Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach

FHE-Blockchain: Enhance the Scheme for Secret Sharing of IoMT Data using Decentralized Techniques

Design of Civil Aviation Security Check Passenger Identification System Based on Residual Convolution Network

 

Mr Anandarup Roy | Internet of Things | Best Researcher Award

Mr Anandarup Roy| Internet of Things | Best Researcher Award

Mr Anandarup Roy,Senior Research Fellow, Indian Statistical Institute, Kolkata,India

Anandarup Roy is a Ph.D. candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, specializing in combinatorial secret sharing. His thesis was submitted on July 19, 2024, and he expects to receive his degree by December 2024. He is advised by Prof. Bimal Kumar Roy and co-supervised by Prof. Mridul Nandi, both from the Applied Statistics Unit at ISI.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Anandarup Roy, a Ph.D. candidate at the Indian Statistical Institute, has made significant contributions to the field of computer science, particularly in combinatorial secret sharing. His research extends previous work in Bayesian incentive-compatible mechanism design and social learning, demonstrating a robust understanding of complex statistical models and their applications.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

From 2016 to 2018, Anandarup worked as a project-linked person at the Economics Research Unit of ISI, where he contributed to a project on Bayesian incentive-compatible mechanism design under the supervision of Prof. Manipushpak Mitra. This research extended his master’s thesis by examining learning processes in a social choice environment with risk-neutral agents.

Skills

Anandarup is proficient in using Linux OS (Ubuntu) and LaTeX. He possesses basic programming knowledge in C, making him well-equipped for computational tasks related to his research.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

  • Combining Dynamic Selection and Data Preprocessing for Imbalance Learning
    Year: 2018
    Journal: Neurocomputing
    Volume/Pages: 286, 179-192
  • SVM-based Hierarchical Architectures for Handwritten Bangla Character Recognition
    Year: 2009
    Journal: International Journal on Document Analysis and Recognition (IJDAR)
    Volume/Pages: 12, 97-108
  • Lecithin and Venom Haemolysis
    Year: 1945
    Journal: Nature
    Volume/Pages: 155 (3945), 696-697
  • A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words
    Year: 2005
    Journal: Digital Image Computing: Techniques and Applications (DICTA’05)
    Pages: 30-30
  • JCLMM: A Finite Mixture Model for Clustering of Circular-Linear Data and Its Application to Psoriatic Plaque Segmentation
    Year: 2017
    Journal: Pattern Recognition
    Volume/Pages: 66, 160-173
  • An HMM Framework Based on Spherical-Linear Features for Online Cursive Handwriting Recognition
    Year: 2018
    Journal: Information Sciences
    Volume/Pages: 441, 133-151
  • Pair-Copula Based Mixture Models and Their Application in Clustering
    Year: 2014
    Journal: Pattern Recognition
    Volume/Pages: 47 (4), 1689-1697
  • Character Segmentation for Handwritten Bangla Words Using Artificial Neural Network
    Year: 2005
    Journal: Proceedings of the 1st IAPR TC3 NNLDAR
  • SWGMM: A Semi-Wrapped Gaussian Mixture Model for Clustering of Circular–Linear Data
    Year: 2016
    Journal: Pattern Analysis and Applications
    Volume/Pages: 19, 631-645
  • Headline Based Text Extraction from Outdoor Images
    Year: Not specified (conference paper)
    Journal: Pattern Recognition and Machine Intelligence: 4th International Conference

Dr. Sergei Badulin | Monitoring Setup Award | Best Paper Award

Dr. Sergei Badulin | Monitoring Setup Award | Best Paper Award 

Dr. Sergei Badulin, P.P.Shirshov Institute of Oceanology, Russia

Sergei I. Badulin, born on May 7, 1959, in Murmansk, USSR, is a prominent Russian scientist specializing in the theoretical and experimental study of oceanic wave dynamics. He earned his M.Sc. in Aerophysics and Space Research from the Moscow Institute of Physics and Technology in 1982 and later completed his Ph.D. in Physics and Mathematics in 1985. Dr. Badulin’s doctoral research focused on the transformation of internal waves in the hydrological fields of the ocean. In 2009, he earned his D.Sc. with a thesis on the dynamics of surface and internal gravity waves, aiming at sea wave monitoring and forecasting.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Paper Award

Sergei I. Badulin appears highly suitable for the Best Paper Award, based on his extensive academic background, research contributions, and high-impact publications in the field of ocean wave dynamics and remote sensing. His long-standing career at prestigious institutes, such as the P.P. Shirshov Institute of Oceanology and Skolkovo Institute of Science and Technology, further emphasizes his influence in the scientific community.

Education:

  • 1976–1982: Moscow Institute of Physics and Technology (MIPT), Moscow, USSR
    • Degree: MSc in Aerophysics and Space Research, with honors (specialization: aero- and thermodynamics).
  • 1983–1985: Moscow Institute of Physics and Technology, Moscow, USSR
    • Degree: PhD in Physics and Mathematics.
    • PhD Thesis: Transformation of internal waves in inhomogeneities of hydrological fields of the ocean.
  • 2009: D.Sc. Thesis
    • Thesis: Dynamics of surface and internal gravity waves for the problem of monitoring and forecasting sea waves.
  • 1983–1985: Supplementary studies in French at the State Linguistic Extramural Courses.

Work Experience:

  • 2019–Present: Senior Research Scientist, Center for Advanced Studies, Skolkovo Institute of Science and Technology, Moscow, Russia.
  • 2013–Present: Head of the Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 2009–2014: Leading Researcher, P.N. Lebedev Physical Institute, Russian Academy of Sciences.
  • 2012–2013: Leading Researcher, Russian State Hydrometeorological University, St. Petersburg, Russia.
  • 2010–2018: Leading Researcher, Novosibirsk State University, Novosibirsk, Russia.
  • 2000–2012: Leading Researcher, Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 1989–2000: Researcher and Senior Researcher, Nonlinear Wave Processes Laboratory, P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia.
  • 1985–1989: Junior Researcher and Researcher, Atlantic Branch of P.P. Shirshov Institute of Oceanology, USSR, Kaliningrad, USSR.

International Experience:

  • 1998 (Sep–Nov): Visiting Scientist, Ship Research Institute, Ministry of Transport of Japan.
  • 1996 (Apr–Nov): Visiting Scientist, Laboratoire IOA, CNRS, Marseille, France.
  • 1993 (Jun–Feb): Postdoctoral Fellow, Centre International des Etudiants et Stagiaires, Laboratoire de Luminy, Marseille, France.

Publication top Notes:

CITED: 153
CITED: 139
CITED: 136
CITED: 68
CITED: 61
CITED: 61

Prof. Irina Shoshina | Accolades Award | Top Researcher Award

Prof. Irina Shoshina | Accolades Award | Top Researcher Award 

Prof. Irina Shoshina, Saint-Petersburg state University, Russia

Irina I. Shoshina, Ph.D., is a distinguished Doctor of Biological Sciences and Professor at the Institute for Cognitive Research at St. Petersburg State University. She completed her dissertation at the Pavlov Institute of Physiology PAS in 2015, focusing on “The Global and Local Mechanisms for the Analysis of Visual Information in Normal Subjects and in Schizophrenia.” Her research spans visual perception physiology, changes in perception under extreme conditions, and psychopathology. She has led and participated in various biomedical experiments, including analog studies of “dry” immersion with and without stimulation. Dr. Shoshina has authored over 85 publications, with recent works addressing topics such as visual contrast sensitivity, ocular microtremor, and cognitive functioning in schizophrenia and bipolar disorder. Her significant contributions include studies on eye movements and fatigue detection, as well as the impact of medication on cognitive effects. For more information.

Professional Profile:

Summary of Suitability for Top Researcher Award

Her research covers significant areas in visual perception, extreme environments, and psychopathology. These fields are crucial for advancing our understanding of cognitive and sensory processes.She has authored over 85 publications, with many appearing in high-impact journals. Recent articles include work on visual contrast sensitivity, cognitive functioning in schizophrenia, and fatigue detection based on eye movements. Her work is widely recognized, evidenced by numerous publications in Q1 and Q2 journals.

Education:

  • Doctor of Biological Sciences: Shoshina holds a Ph.D. from the Pavlov Institute of Physiology, PAS. She completed her dissertation in 2015 with the topic: “The Global and Local Mechanism for the Analyses of Visual Information in Normal Subjects and in Schizophrenia.” This research centered around visual perception physiology, particularly focusing on changes in visual perception under extreme conditions and in psychopathological states such as schizophrenia.

Work Experience:

  • Professor, Institute for Cognitive Research: Shoshina is a professor at St. Petersburg State University, where she is actively engaged in research related to cognitive science, visual perception, and physiological responses in extreme environments.
  • Principal Investigator: Shoshina has led numerous studies, including analog experiments simulating extreme conditions like “dry” immersion, with or without different stimulations. Her research frequently explores visual perception changes and cognitive functioning, especially in the context of altered gravity, fatigue, schizophrenia, and bipolar disorder.
  • Co-Investigator: She has also worked as a co-investigator in various biomedical experiments, extending her expertise into interdisciplinary collaborations.
  • Publications and Research: Shoshina has authored more than 85 scientific publications, focusing on visual contrast sensitivity, ocular microtremors, cognitive functions in psychopathological conditions, and the effects of environmental extremes on perception and cognition.

Publication top Notes:

Characteristics of Visual Contrast Sensitivity and Ocular Microtremor in Schizophrenia

Brain atrophy and cognitive decline in bipolar disorder: Influence of medication use, symptomatology and illness duration

OperatorEYEVP: Operator Dataset for Fatigue Detection Based on Eye Movements, Heart Rate Data, and Video Information

Cognitive Functioning and Visual System Characteristics in Schizophrenia: A Cross-Sectional Study

Combined influence of medication and symptom severity on visual processing in bipolar disorder

 

 

Prof Dr. Michel Jourlin | Brightness Inversion Award | Best Researcher Award

Prof Dr. Michel Jourlin | Brightness Inversion Award | Best Researcher Award 

Prof Dr. Michel Jourlin, Hubert Curien Laboratory, Jean Monnet University, Saint-Etienne, France

Michel Jourlin is an Emeritus Professor at the Hubert Curien Laboratory (UMR CNRS 5516) at Jean Monnet University in Saint-Etienne, France. He holds a State Doctorate in Pure Mathematics, which he earned with First Class Honours and special Congratulations in 1984. His academic career began as a senior lecturer at Jean Monnet University, where he established the Image Processing team at the TSI Laboratory, now part of the Hubert Curien Laboratory. In 1988, he became the head of the Electronics and Image Department at ICPI in Lyon and later, following the merger of ICPI and ESCIL to form CPE-Lyon, he served as the Scientific Director and head of the Electronics, Telecoms, and Computing section. He was instrumental in creating the LISA Laboratory (Image, Signal, and Acoustics), a CNRS-recognized research unit.

Professional Profile:

 

Summary of Suitability for Best Researcher Award

Michel Jourlin is a distinguished Emeritus Professor at the Hubert Curien Laboratory, Jean Monnet University, Saint-Etienne, France. With a State Doctorate in Pure Mathematics earned with First Class Honours and numerous contributions to the field of image processing, Professor Jourlin has demonstrated an exemplary academic and research career.

Education:

  • 1984: Achieved a State Doctorate in Pure Mathematics with First Class Honours and Congratulations.

Work Experience:

  • 1984: Began his academic career as a Senior Lecturer at Jean Monnet University, where he played a pivotal role in establishing the ‘Image Processing’ team at the TSI Laboratory, which later evolved into the Hubert Curien Laboratory.
  • 1988: Became the Head of the Electronics and Image Department at ICPI, Lyon.
  • 1992: After the merger of ICPI and ESCIL engineering schools to form CPE-Lyon, he was appointed Scientific Director of CPE and Head of the ETC section (Electronics, Telecoms, Computing). During this period, he was also instrumental in the creation of the LISA Laboratory (Image, Signal, and Acoustics), an EP CNRS unit.
  • 2000: Joined the ISTASE engineering school (which became Telecom Saint-Etienne in 2008) as a Professor. In 2001, he launched the ‘Digital Image and Vision’ course at the school.
  • 2003: Played a key role in bringing 3rd-year students from the Ecole Supérieure d’Optique, now IOGS, to Saint-Etienne to acquire image processing skills through a specialized ‘Image, Vision Signal’ Master’s course.
  • 2008: Contributed to the creation of the ERIS group (Eclairage, Rendu visuel, Imagerie optique, Sécurité opto-numérique) within the Laboratoire Hubert Curien (UMR 5516) in collaboration with Pierre Chavel. He was responsible for Axis 1, focusing on ‘Lighting, Visual Rendering.’
  • 2008-2015: Served as an Expert for the Ministry of Higher Education and Research.
  • 2011-Present: Continues to serve as an Emeritus Professor at Jean Monnet University. Over his career, he has supervised 42 PhDs and 4 HDRs. His work on the Logarithmic Image Processing (LIP) model has garnered over a thousand citations, leading to numerous publications and the publication of a book titled ‘Logarithmic Image Processing: Theory and Applications’.

Michel Jourlin’s contributions to image processing, especially the LIP model, are widely recognized in the scientific community, and he continues to be an active researcher and reviewer for prestigious journals.

 

Publication top Notes:

CITED: 471
CITED: 272
CITED: 250
CITED: 157
CITED: 113

 

Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award

Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award 

Assist Prof Dr. Qun Wei, Dept. of Biomedical Engineering, Engineering College, Keimyung University, South Korea

Qun Wei, Ph.D., is an Assistant Professor and CEO at Clairaudience Co., Ltd., and is affiliated with the Department of Biomedical Engineering at the School of Medicine, Keimyung University. Born on October 22, 1984, in Shanghai, China, Dr. Wei holds a Ph.D. in Electronics Engineering from Kyungpook National University, where his research focused on developing a non-intermediary binaural hearing aid with adjustable latency compensation. He also earned his MS and BS in Electronics Engineering and Computer Science from the same institution. Dr. Wei has extensive academic and research experience, having served as a lecturer and teaching assistant at various institutions, including Yeung Jin College and Yeungnam University College. Additionally, he is the Deputy Director of the Center for International Cooperation at Keimyung University. Fluent in Chinese, English, and Korean, Dr. Wei’s work spans video systems, biomedical engineering, and telemetry systems, and he actively contributes to both academic research and industry innovations.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

Dr. Qun Wei, an Assistant Professor at Keimyung University and CEO of Clairaudience Co., Ltd., is a strong candidate for the Best Researcher Award. His diverse academic background in Electronics Engineering and Biomedical Engineering, along with his notable research contributions, underline his exceptional qualifications for this recognition.

Education

  • Ph.D. in Electronics Engineering (Sep 2010 – Aug 2014)
    IT College, Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: Development of Non-Intermediary Binaural Hearing Aid with Adjustable Latency Compensation in Multi-Media Hearing Environment
    Supervisor: Ph.D. Jin-Ho Cho 📚
  • MS in Electronics Engineering and Computer Science (Sep 2008 – Aug 2010)
    Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: A Telemetry System to Detect Liquid Level of Plastic Bag Intravenous Set using Capacitive Sensor
    Supervisor: Ph.D. Jin-Ho Cho 📚
  • BS in Electronics Engineering and Computer Science (Sep 2004 – Aug 2008)
    Kyungpook National University, Daegu, South Korea 🎓

Academic Employment

  • Assistant Professor (Mar 2015 – present)
    Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, South Korea 🏥
  • Deputy Director (Feb 2020 – present)
    Center for International Cooperation, International Office, Keimyung University, Daegu, South Korea 🌐
  • Researcher
    Institute of Biomedical Engineering Research, Kyungpook National University, Daegu, South Korea 🔬
  • Lecturer
    School of Electrical Engineering, Yeung Jin College, Daegu, South Korea 🏫
  • Lecturer
    Division of Electronics and Information Engineering, Yeungnam University College, Daegu, South Korea 📘
  • Teaching Assistant
    Department of Electronics Engineering, IT College, Kyungpook National University, Daegu, South Korea 📝

Dr. Qun Wei is recognized for his contributions to biomedical engineering and his innovative research in hearing aids and telemetry systems. His work bridges academic excellence with practical applications in healthcare technology.

Publication top Notes:

DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life Monitoring

Novel Design of a Multimodal Technology-Based Smart Stethoscope for Personal Cardiovascular Health Monitoring

Development of a Finger-Ring-Shaped Hybrid Smart Stethoscope for Automatic S1 and S2 Heart Sound Identification

Topography and Anatomical Variations of the Axillary Artery

Designing a Smart Bath Assistive Device Based on Measuring Inner Water Temperature for Bathing Temperature Monitoring

Development of a Wireless Health Monitoring System for Measuring Core Body Temperature from the Back of the Body