Mr. Meet Patel | AI Awards | Best Researcher Award

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Mr. Meet Patel | AI Awards | Best Researcher Award

Mr. Meet Patel, Deutsche Bank, India

Mr. Meet Patel is a proficient Senior Analyst at Deutsche Bank, India, with a Bachelor of Technology in Computer Science from the Institute of Technology, Nirma University. Graduating in 2022 with an impressive GPA of 8.73, he has a robust technical skill set encompassing programming languages, databases, and various developer tools and technologies. Meet’s professional experience includes optimizing transaction reporting and enhancing image captioning models at Deutsche Bank, as well as developing secure backend APIs and cloud services during his internship at Bullsurge. His research contributions at Dr. Sudeep Tanwar’s Research Group focus on autonomous vehicle efficiency and medical image categorization, showcasing his dedication to advancing technology and innovation.

Professional Profile:

Orcid

🎓 Education:

Bachelor of Technology in Computer Science from the Institute of Technology, Nirma University, Ahmedabad, India (May 2022), with an impressive GPA of 8.73. Studied courses like Data Structures & Algorithms, Object-Oriented Programming, Databases, Operating Systems, Web Development, Software Engineering, Microservices Architecture, Machine Learning, Deep Learning, NLP, and Big Data Analytics.

💻 Technical Skills:

Proficient in multiple programming languages including C/C++, Java, Python, GoLang, Dart, HTML/CSS, JavaScript, SQL, and Shell. Experienced with databases like MySQL, MongoDB, Firebase, DynamoDB, Apache Cassandra, Redis, and PostgreSQL. Skilled in developer tools such as Github, Confluence, Jira, Bitbucket, VS Code, IntelliJ, Android Studio, Unix/Linux, Postman, and TeamCity. Familiar with technologies and frameworks including Spring Boot, MERN stack, Django, Flutter, Docker, Kubernetes, AWS, GCP, Tensorflow, Pytorch, Hadoop, and Spark.

🏢 Work Experience:

Senior Analyst at Deutsche Bank (July 2022 – Present):
Engineered core microservices to automate transaction reporting for big data, optimized resource utilization, and enhanced the production efficiency of an image captioning model.

Software Engineer Intern at Bullsurge (December 2021 – June 2022):
Developed secure backend APIs, architected investment management portals, and deployed services to AWS cloud infrastructure.

Technology Analyst Intern at Deutsche Bank (May 2021 – July 2021):
Developed a context-aware chatbot, optimized NLP techniques, and designed a ReactJS-based chatbot interface.

🔬 Research Experience:

Research Assistant at Dr. Sudeep Tanwar’s Research Group (August 2022 – Present):
Led research on the “HyDiT” project for efficient Autonomous Vehicles, collaborated on projects innovating visual-language fusion modules, and conducted independent studies on medical image categorization for disease diagnosis.

Publication Top Notes:

Explainable AI for GastroIntestinal Disease Diagnosis in Telesurgery Healthcare 4.0
A Privacy-Preserving Federated Learning Approach for Autonomous EVs in Green Open RAN

 

 

Dr. Kuanxin Shen | Artificial intelligent Awards | Best Researcher Award

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Dr. Kuanxin Shen | Artificial intelligent Awards | Best Researcher Award

Dr. Kuanxin Shen , Shenyang University of Technology , China

Kuanxin Shen, a 27-year-old PhD candidate in Control Science and Engineering at Shenyang University of Technology, China, focuses his research on 3D Gaze Estimation using neural networks and deep learning. He holds a Bachelor’s degree earned in 2021 and a Master’s degree obtained in 2024. From 2022 to 2024, Kuanxin worked as an Algorithm Developer at Ningbo Chunjian Electronic Technology Co., Ltd., specializing in 3D intelligent perception in automotive cockpits. His research achievements include a Chinese utility model patent, several Chinese computer software copyrights, and three Chinese invention patents related to 3D eye tracking and gaze estimation. Kuanxin has also authored a book on industrial robot simulation and published a paper in the journal Sensors. He has been recognized with the third prize in the Henan Province College Students’ Robot Innovation Competition, a first-class academic scholarship, and the Excellent Thesis Award from Liaoning Province for his master’s thesis.

Professional Profile:

Orcid

🎓Educational Background:

Kuanxin Shen earned his Bachelor’s degree in 2021 and obtained his Master’s degree in 2024. He is currently pursuing a PhD in Control Science and Engineering at Shenyang University of Technology, China.

🏢Work Experience:

From 2022 to 2024, Kuanxin Shen worked as an Algorithm Developer at Ningbo Chunjian Electronic Technology Co., Ltd., specializing in 3D intelligent perception in automotive cockpits. His responsibilities included driver gaze detection, skeleton landmark detection, behavior detection (such as smoking and phone usage), and the detection of driver distraction and fatigue. His tasks encompassed image processing, 3D detection, data annotation, cleaning, augmentation, neural network training, and model testing.

🏆Awards and Recognitions:

During his undergraduate studies, Kuanxin Shen won the Third Prize in the 6th Henan Province College Students’ Robot Innovation Competition. In April 2024, he was awarded the First-Class Academic Scholarship during his master’s studies. In May 2024, his master’s thesis titled “Research on the Application of Driver Gaze Estimation Technology in DMS” received the Excellent Thesis Award from Liaoning Province, China

Publication Top Notes:

Title: Model-Based 3D Gaze Estimation Using a TOF Camera

  • Journal: Sensors

 

 

Assoc. Prof. Dr. Catalin Dumitrescu | Machine Learning Awards | Excellence in Research

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Assoc. Prof. Dr. Catalin Dumitrescu | Machine Learning Awards | Excellence in Research

Assoc. Prof. Dr. Catalin Dumitrescu , University POLITEHNICA of Bucharest , Romania

Catalin Dumitrescu is an accomplished academic and researcher specializing in Computing and Artificial Intelligence. Currently serving as an Associate Professor and R&D Scientific Adviser at the National University of Science and Technology POLITEHNICA of Bucharest (UNSTPB), Romania, he holds a Ph.D. in Digital Signal Processing and Machine Learning from University Politehnica of Bucharest. Catalin’s extensive career spans over 20 years in research and development within the Machine Learning Defense Industry and Cyber Defence sectors. He has held pivotal roles in R&D, Artificial Intelligence, Machine Learning Software System Architecture, and Product Management. His expertise includes Mathematical Algorithms, Software Architecture, Digital Signal Processing, and applications in defense technologies. Catalin is also a certified expert in Critical Infrastructure Risk Management and Competitive Intelligence. His research interests encompass Artificial Intelligence, Machine Learning, Deep Learning, and their applications in areas like natural language processing, image processing, and neural networks. Catalin has contributed significantly to academic literature and continues to lead research initiatives at the forefront of technological innovation in his field.

Professional Profile:

Orcid

🎓Education:

Catalin Dumitrescu holds a diverse educational background reflecting his expertise in both technical and business domains. He earned his Ph.D. in Digital Signal Processing and Machine Learning from the University Politehnica of Bucharest, Romania, where his research focused on advanced algorithms and applications in signal and image processing. Complementing his technical qualifications, Catalin pursued a postgraduate degree in International Business and Economics at Bucharest University of Economic Studies. Additionally, he holds an engineering degree from the Transportation Engineering Faculty at University Politehnica of Bucharest, specializing in Signal Processing and Image Processing. This multidisciplinary educational foundation has equipped Catalin with a comprehensive skill set bridging technology innovation with strategic business acumen.

🏢Work Experience:

Catalin Dumitrescu brings a wealth of experience across academia, industry, and defense sectors, showcasing a distinguished career path. Currently serving as an Associate Professor and R&D Scientific Adviser at the National University of Science and Technology POLITEHNICA of Bucharest (UNSTPB) in Romania since 2015, he plays a pivotal role in advancing research in Electronics & Telecommunication within the Transportation Engineering Faculty. Catalin’s industry experience includes serving as the Chief Technology Officer (CTO) at SoftGalaxy International from 2017 to 2021, where he led research and development initiatives in Artificial Intelligence. Prior to this role, he contributed significantly as a Software Systems Architect at UTI GROUP’s R&D department SYS-STD-SMART Technologies & Development from 2015 to 2017. His extensive tenure in defense research spans two decades, from 1995 to 2015, as an R&D Military Officer at the Defense Advanced Technology Institute, focusing on developing Machine Learning systems for Intelligence, Surveillance, Reconnaissance (IMINT), and Signals Intelligence (SIGINT). Catalin began his career as an Electronics Engineer at the Transport Research Institute from 1986 to 1995, laying the foundation for his subsequent achievements in technology and defense innovation

🏆Awards:

Catalin Dumitrescu holds certifications as a Certified Expert in Critical Infrastructure Risk Management and Competitive Intelligence, underscoring his specialized expertise in strategic risk assessment and competitive analysis. These certifications complement his extensive background in academia and research, enhancing his capabilities in navigating complex technological landscapes and contributing to advancements in defense and cyber security sectors.

Publication Top Notes:

  1. Artificial Intelligence Application in the Field of Functional Verification
    • Journal: Electronics
  2. Modeling and Prediction of Sustainable Urban Mobility Using Game Theory Multiagent and the Golden Template Algorithm
    • Journal: Electronics
  3. Contributions to Power Grid System Analysis Based on Clustering Techniques
    • Journal: Sensors
  4. Urban Traffic Noise Analysis Using UAV-Based Array of Microphones
    • Journal: Sensors
  5. On the Feasibility and Efficiency of Self-Powered Green Intelligent Highways
    • Journal: Energies

 

 

Prof. Mamede de Carvalho | Big Data Awards | Best Researcher Award

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Prof. Mamede de Carvalho | Big Data Awards | Best Researcher Award

Prof. Mamede de Carvalho, Faculdade de Medicina , Universidade de Lisboa, Portugal

Prof. Mamede de Carvalho is a distinguished medical professional renowned for his contributions to neurology and physiology. He obtained his MD from Nova Lisbon University in 1985, specializing in Neurology at the University Hospital in Lisbon in 1993. He earned his PhD in Neurology from the University of Lisbon in 2000, followed by a Habilitation in Neurosciences in 2007. Since 2010, he has served as a Full Professor of Physiology at the University of Lisbon, where he has made significant advancements in clinical neurology, particularly in ALS and neuromuscular disorders. Prof. de Carvalho’s leadership roles include Vice-Dean at the Faculty of Medicine and President of the Reynaldo dos Santos Technological Center in Lisbon. He also directed the Neuromuscular Unit at CHLN – Hospital de Santa Maria from 2009 to 2019, further cementing his impact on neurology research and practice.

🌐 Professional Profile:

Scopus

Orcid

Google Scholar

🎓 Education

Prof. Mamede de Carvalho is a distinguished medical professional with a robust academic background. He obtained his MD from Nova Lisbon University in Lisbon, Portugal, in 1985, followed by specialization in Neurology at the University Hospital in Lisbon in 1993. He earned his PhD in Neurology from the University of Lisbon in 2000 and completed his Habilitation in Neurosciences at the same institution in 2007. Since 2010, he has served as a Full Professor of Physiology at the University of Lisbon, contributing significantly to the fields of neurology and neuroscience through his research and academic leadership.

🌐 Professional Experience & Leadership

Prof. Mamede de Carvalho is a distinguished figure in neurology and physiology, having served as the President of the Reynaldo dos Santos Technological Center in Lisbon, Portugal, from 2017 to 2022. Prior to this, he held the position of Vice-Dean at the Faculty of Medicine – University of Lisbon from 2015 to 2022. With extensive expertise, he also served as the Director of the Neuromuscular Unit at CHLN – Hospital de Santa Maria in Lisbon from 2009 to 2019, contributing significantly to advancements in clinical neurology and neuromuscular disorders.

🔬 Clinical Research & Funding

Prof. Mamede de Carvalho is a pioneering figure in clinical neurology research, renowned for his contributions to advancements like Transcranial Magnetic Stimulation and the Threshold Technique for Axonal Excitability. His leadership has been instrumental in securing significant funding for projects focused on amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases, including grants from JPND and FCT.

Publication Top Notes:

 

 

 

 

Mr. Yan hui Wu | Machine Learning Awards | Best Researcher Award

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Mr. Yan hui Wu | Machine Learning Awards | Best Researcher Award

Mr. Yan hui Wu , Hebei University of Engineering , China

Yanhui Wu is a Senior Engineer at the School of Mining and Surveying Engineering, Hebei University of Engineering. He completed his Ph.D. in Geophysical Exploration and Information Technology at the China University of Mining and Technology (Beijing) in 2023. He also holds an M.Sc. in the same field from the China University of Geosciences (Beijing) and a B.Sc. in Computer Science and Technology from Hebei University of Technology. Wu’s career includes nearly a decade at the Geological Geophysical Center, Hebei Coal Science Research Institute, Jizhong Energy Group, where he served as a Senior Engineer. He has participated in significant research projects, including the Ministry of Science and Technology’s National Key R&D Program on dynamic intelligent detection technology for hidden disaster geological factors in coal mines. Wu’s research has been published in several renowned journals, with notable works on seismic multiattribute machine learning, fault evaluation, and collapse column prediction in coal strata.

Professional Profile:

Orcid

 🎓Education:

Yanhui Wu holds a Ph.D. in Geophysical Exploration and Information Technology from the China University of Mining and Technology (Beijing), which he completed in June 2023. He also earned an M.Sc. in the same field from the China University of Geosciences (Beijing) in June 2010. Additionally, Wu has a B.Sc. in Computer Science and Technology from Hebei University of Technology, which he obtained in June 2007.

 🏢Work Experience:

Yanhui Wu currently serves as a Senior Engineer at the School of Mining and Surveying Engineering, Hebei University of Engineering. Prior to this role, he held a Senior Engineer position at the Geological Geophysical Center of Hebei Coal Science Research Institute, part of the Jizhong Energy Group, from August 2010 to July 2019.

Publication Top Notes:

  • Application of seismic multiattribute machine learning to determine coal strata thickness
    • Published Year: 2021
    • Journal: Journal of Geophysics and Engineering
    • Cited by: 834-844
  • Quantitative Evaluation of Faults by Combined Channel Wave Seismic Transmission-Reflection Detection Method
    • Published Year: 2022
    • Journal: Minerals
    • Cited by: 1022-1032
  • Precise prediction of the collapse column based on channel wave spectral disparity characteristics and velocity tomography imaging
    • Published Year: 2022
    • Journal: Journal of Geophysics and Engineering
    • Cited by: 326-335
  • Application research of combined detection of transmission and reflection slot waves for small structures—Taking Longquan Mining Area in Shanxi as an example
    • Published Year: 2021
    • Journal: Progress in Geophysics
    • Cited by: 1325-1332

Mrs. Marcia Baptista | Machine Learning and Prognostics | Best Researcher Award

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Mrs. Marcia Baptista | Machine Learning and Prognostics | Best Researcher Award

Mrs. Marcia Baptista, Delft University of Technology

Mrs. Marcia Baptista, currently an Assistant Professor at TU Delft and soon joining NOVA IMS, completed her Ph.D. in Engineering Design and Advanced Manufacturing at MIT Portugal Program 📚. Her research in machine learning and deep learning for prognostics in aeronautics, conducted in collaboration with Rolls Royce and Embraer, has led to significant advancements in predictive maintenance technology 🔬. Marcia’s career spans leadership roles at NASA Ames Research Center and Instituto Tecnológico de Aeronáutica, focusing on technical prognostics and system engineering across continents. Her contributions have earned her Best Paper awards at esteemed conferences and recognition for teaching excellence 🏆. Beyond academia, Marcia chairs international conference sessions, serves editorial roles, and contributes to advanced engineering literature 🌐.

🌐 Professional Profile:

Orcid

Scopus

📚 Education & Academic Path

I completed my Ph.D. in Engineering Design and Advanced Manufacturing at MIT Portugal Program, focusing on machine learning and deep learning for prognostics in aeronautics. This research involved collaborations with Rolls Royce and Embraer, resulting in significant advancements in predictive maintenance technology.

🔬 Research & Professional Experience

Currently serving as an Assistant Professor at TU Delft and starting soon at NOVA IMS, I’ve been actively involved in teaching, research, and leadership roles. My work spans multiple continents, including positions at NASA Ames Research Center and Instituto Tecnológico de Aeronáutica, where I contributed to cutting-edge projects in technical prognostics and system engineering.

🏆 Achievements & Recognition

Throughout my career, I’ve been honored with numerous awards, including Best Paper accolades at prestigious conferences like WCE 2019 and ISM 2019. I’ve also received recognition for my teaching contributions and was awarded a Doctorate Scholarship from the Foundation for Sciences and Technology in Portugal.

🌐 Contributions & Outreach

Beyond academia, I’ve chaired sessions at international conferences and served as a web chair for the Intelligent Transport Systems Conference. My editorial roles include being a special issue editor for prominent journals and authoring chapters on advanced engineering topics.

Publication Top Notes:

  • Aircraft Engine Bleed Valve Prognostics Using Multiclass Gated Recurrent Unit
    • Year: 2023
    • Citations: 2
  • 1D-DGAN-PHM: A 1-D denoising GAN for Prognostics and Health Management with an application to turbofan
    • Year: 2022
    • Citations: 4
  • Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
    • Year: 2022
    • Citations: 57
  • A self-organizing map and a normalizing multi-layer perceptron approach to baselining in prognostics under dynamic regimes
    • Year: 2021
    • Citations: 14
  • Classification prognostics approaches in aviation
    • Year: 2021
    • Citations: 15

 

 

Ms. Nathalia Hidalgo Leite | Artificial Neural Networks | Best Researcher Award

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Ms. Nathalia Hidalgo Leite | Artificial Neural Networks | Best Researcher Award

Ms. Nathalia Hidalgo Leite, State University of Campinas, Brazil

🎓 Nathalia Hidalgo Leite is a Ph.D. candidate in Energy Systems Planning at the State University of Campinas (Unicamp) 🇧🇷, focusing on electric mobility. She also holds an MBA in Value Investing from UniBTA and an M.S. in Energy Systems Planning from Unicamp, and a B.S. in Agronomic Engineering from UFSCar 🌱. As a researcher at CPTEn and CPFL Energy, and an instructor at Unicamp, she has contributed significantly to energy systems planning and education. Her international academic experience includes programs in Portugal 🇵🇹, Denmark 🇩🇰, Spain 🇪🇸, Italy 🇮🇹, and the USA 🇺🇸. Nathalia’s research interests span the economic and financial viability of energy systems, artificial neural networks, and renewable energy integration 🌞. Proficient in Portuguese, English, and Spanish, she holds numerous certifications in finance and technical skills 📊. Her achievements are recognized by multiple academic and extracurricular awards, underscoring her dedication and multifaceted talents 🌟.

🌐 Professional Profile:

Google Scholar

🎓 Educational Background

Nathalia Hidalgo Leite is currently pursuing a Ph.D. in Energy Systems Planning at the State University of Campinas (Unicamp) 🇧🇷, focusing on the economic and financial viability for electric mobility. She also holds an MBA in Value Investing from UniBTA and an M.S. in Energy Systems Planning from Unicamp, where she studied the economic viability of photovoltaic solar energy. Nathalia completed her B.S. in Agronomic Engineering at the Federal University of Sao Carlos (UFSCar), researching artificial neural networks applied to Asian soybean rust 🌱.

🏢 Professional Experience

Nathalia is an accomplished researcher and instructor. At Unicamp, she has taught courses in computer algorithms, programming, numerical calculation, and discrete mathematics. As a researcher at the Sao Paulo Center for Energy Transition Studies (CPTEn) and previously at CPFL Energy, she has made significant contributions to energy systems planning. Nathalia also worked as a Financial Planning and Analysis Specialist at Grupo JLJ and interned at Ecomark Indústria e Comércio de Fertilizantes Especiais Ltda 🌟.

🌍 International Experience

Nathalia has enriched her academic journey with several exchange programs. She spent six months at the University of Lisbon 🇵🇹 and the University of Southern Denmark 🇩🇰, three months at Universitat Politècnica de València 🇪🇸, one month at Università degli Studi di Roma La Sapienza 🇮🇹, and also attended Beverly Hills High School 🇺🇸 and Moore Elementary School in Colorado 🇺🇸 during her earlier education 📚.

📝 Research Interests

Nathalia’s research interests include the economic and financial viability of energy systems, artificial neural networks, and the integration of renewable energy sources. She is particularly focused on interdisciplinary approaches to solving complex problems in energy planning and sustainability 🌞.

🌐 Certifications and Skills

Nathalia holds numerous certifications in finance, photovoltaic systems, scientific writing, and programming. She is proficient in Portuguese (native), English (fluent), and Spanish (advanced). Her technical skills and continuous learning make her a versatile and knowledgeable professional in her field 📊.

🏆 Awards and Recognitions

Nathalia has received several awards for academic and extracurricular excellence, including the Excellence in Academic Performance award from Anglo Middle School 🇧🇷 and multiple accolades from Lincoln Junior High School 🇺🇸 for academic achievement, athletic performance, and leadership. These recognitions highlight her dedication and multifaceted talents 🌟.

Publication Top Notes:

1.  Artificial Neural Networks Applied to Plant Disease
2.  Study of Asian Soybean Rust

 

 

Assist Prof Dr. Ebtisam Alabdulqader | Machine Intelligence | Best Researcher Award

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Assist Prof Dr. Ebtisam Alabdulqader | Machine Intelligence | Best Researcher Award

Assist Prof Dr. Ebtisam Alabdulqader , Kind Saud University , Saudi Arabia

Prof. Dr. Ebtisam Alabdulqader, an esteemed academic at King Saud University 🎓, possesses a rich educational background, including a Ph.D. in Computing Sciences from Newcastle University, UK, and certifications in various domains such as user experience, bioethics, and cryptography. As the Vice Director of the Digital Innovation Unit and Assistant Professor in the Information Technology Department, she actively contributes to the advancement of education and innovation. Dr. Alabdulqader’s leadership extends to founding and leading the ArabHCI Community and serving as the Vice Chair of the Saudi ACM SIGCHI Chapter. Her extensive experience as a lecturer and teaching assistant underscores her commitment to nurturing future talents in the field of computer and information sciences. Dr. Alabdulqader’s involvement in numerous committees and projects further highlights her dedication to academic excellence and technological innovation 🌟.

🌐 Professional Profile:

Google Scholar

Education:

  • Ph.D. in Computing Sciences, School of Computing, Newcastle University, UK (2015-2019)
  • MSc in Information Systems, College of Computer and Information Sciences, King Saud University, Saudi Arabia (2007-2009)
  • Bachelors in Computer Applications, College of Computer and Information Sciences, King Saud University, Saudi Arabia (2000-2005)

Certificates:

  • Bioethics NCBE Training, KACST, Riyadh, Saudi Arabia (2021)
  • Certified User Experience Specialist (CXS), Akendi, London, UK (2019)
  • Good Clinical Practice (GCP) eLearning, NHS, Newcastle Upon Tyne, UK (2015)
  • Training on Cryptography, PMC in KSU, Riyadh, Saudi Arabia (2010)
  • Oracle Database 11g: Administration Workshop, ORACLE University, Riyadh, Saudi Arabia (2010)
  • MULTOS Developer, MULTOS, Warrington, UK (2009)
  • Network and Host Security, Security Academy I(TS)2, Riyadh, Saudi Arabia (2009)

Experience:

  • Vice Director of Digital Innovation Unit, Entrepreneurship Institute, King Saud University (2022-Present)
  • Assistant Professor, Information Technology Department, College of Computer and Information Sciences, King Saud University (2020-Present)
  • Founder and Leader, ArabHCI Community (2016-Present)
  • Vice Chair, Saudi ACM SIGCHI Chapter (2017-2021)
  • Lecturer, Information Technology Department, College of Computer and Information Sciences, King Saud University (2009-2020)
  • Teaching Assistant, Information Technology Department, College of Computer and Information Sciences, King Saud University (2005-2009)

Memberships in Scientific & Professional Societies:

  • ACM SIGCHI Member
  • Professional ACM Member
  • Open Lab, School of Computing, Newcastle University

Projects:

  • Lead hackathon organizer for “MITO Patient Engagement Study”
  • Designing technology for CueS: a wearable cueing device for stroke patients

Academic Activities:

  • Curriculum Review and Development Committee
  • Human Resources Committee (Head)
  • Graduation Projects Seminars Committee
  • Graduation Projects Examination Committee

Service Activities & Participations:

  • Active PC member in various ACM and non-ACM research venues
  • Judge in Fintech 101 Workshop for KSU Students
  • Judge for the International Mobile Gaming Awards

Invited Talks, Panels & Representation:

  • Panelist at the “Research Experiences in HCI” session by KSU CCIS
  • Invited panelist at CS-NCL equality and diversity events
  • ACM SIGCHI Inclusion Innovators, Inclusion team for SIGCHI Diversity & Inclusion Events/Activities

Honors and Awards:

    • CCIS Appreciation Award (2020)
    • Best Lecturer Award (2013)
    • Best Academic Advisor Award (2013)
    • Excellence in Research and Publications Award (2010)

Publication Top Notes:

inist HCI: Taking Stock, Moving Forward, and Engaging Community
Citation -14
IslamicHCI: Designing with and within Muslim Populations

 

 

Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

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Mr. Jamin Rahman Jim | Artificial Intelligent Awards | Best Researcher Award

Mr. Jamin Rahman Jim, Advanced Machine Intelligence Research Lab – AMIR Lab, Bangladesh

Jamin Rahman Jim, an accomplished researcher hailing from Dhaka, Bangladesh, specializes in machine intelligence and deep learning applications. With a Bachelor of Science in Computer Science and Engineering from the American International University-Bangladesh, where he graduated with high honors and received prestigious academic scholarships, Jim has contributed significantly to the field through his work at leading research institutions like the Advanced Machine Intelligence Research Lab (AMIR Lab) and Deepchain Labs. His publications in esteemed journals such as IEEE Access and Natural Language Processing Journal showcase his expertise in areas ranging from trustworthy metaverse development to sentiment analysis and medical image segmentation. Notably, he received the Research Award 2023 from AMIR Lab and an Academic Research Grant from the Competitive Research Fund of The University of Aizu, Japan. With a keen focus on leveraging machine learning and deep learning for cybersecurity, medical imaging, and autonomous vehicle navigation, Jim’s contributions continue to shape the forefront of technological innovation.

Professional Profile:

Google Scholar

📚 Education:

Jamin Rahman Jim pursued his Bachelor of Science in Computer Science and Engineering, specializing in Information Systems, at American International University-Bangladesh from January 2020 to June 2023. Throughout his academic journey, he demonstrated exceptional dedication and achieved a final grade of 3.96 out of 4.00. His thesis, titled “Assessing Personalized Federated Learning Algorithms for Pattern Recognition Tasks,” showcased his expertise in the field. This comprehensive program equipped him with a solid foundation in computer science principles and practical skills necessary for his subsequent career in research and development.

📅 Work Experience:

Jamin Rahman Jim has been actively engaged in the research field, contributing significantly to the advancement of machine intelligence. He began his journey as a Research Assistant at Deepchain Labs in Dhaka, Bangladesh, from December 2022 to April 2023, where he laid the groundwork for his research career. Building on this experience, he transitioned to the role of Research Assistant at the Advanced Machine Intelligence Research Lab (AMIR Lab) in Dhaka, Bangladesh, from May 2023 to January 2024. During this period, he honed his skills and expanded his knowledge in the domain of machine intelligence. Currently, he holds the position of Researcher at AMIR Lab, commencing in February 2024, where he continues to make significant contributions to cutting-edge research projects. His tenure at AMIR Lab reflects his dedication to pushing the boundaries of machine intelligence and furthering the understanding of this dynamic field.

🏅 Honours and Awards:

Jamin Rahman Jim’s academic journey at the American International University-Bangladesh was marked by outstanding achievements and recognition. He received the prestigious Academic Merit Scholarship, a testament to his consistent excellence throughout his Bachelor’s degree program. Furthermore, his exemplary academic performance earned him a place on the Dean’s List Honors and the distinguished title of Summa Cum Laude, affirming his exceptional capabilities and dedication to academic excellence.

Publication Top Notes:

  1. Towards Trustworthy Metaverse: Advancements and Challenges
    • Authors: JR Jim, MT Hosain, MF Mridha, MM Kabir, J Shin
    • Published in: IEEE Access (2023)
    • Cited by: 7
  2. Recent Advancements and Challenges of NLP-based Sentiment Analysis: A State-of-the-Art Review
    • Authors: JR Jim, MAR Talukder, P Malakar, MM Kabir, K Nur, MF Mridha
    • Published in: Natural Language Processing Journal (2024)
    • Cited by: 1
  3. Explainable AI Approaches in Deep Learning: Advancements, Applications and Challenges
    • Authors: MT Hosain, JR Jim, MF Mridha, MM Kabir
    • Published in: Computers and Electrical Engineering (2024)
  4. Deep Learning for Medical Image Segmentation: State-of-the-Art Advancements and Challenges
    • Authors: ME Rayed, SMS Islam, SI Niha, JR Jim, MM Kabir, MF Mridha
    • Published in: Informatics in Medicine Unlocked (2024)
  5. TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset
    • Authors: MM Kabir, MS Hafiz, S Bandyopadhyaa, JR Jim, MF Mridha
    • Published in: Data in Brief (2024)

 

 

 

 

Mr. Asif Mehmood | Artificial intelligence Awards | Best Researcher Award

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Mr. Asif Mehmood | Artificial intelligence Awards | Best Researcher Award

Mr. Asif Mehmood, National university of technology, Pakistan

Asif Mehmood is a dedicated professional with a strong academic background and diverse expertise in computer sciences. Currently pursuing a PhD in Computer Sciences at COMSATS University Islamabad, Wah Campus, he holds a Master’s degree and a Bachelor’s degree in the same field. With a keen interest in machine learning and deep learning, Asif has contributed to notable publications in prestigious journals, focusing on human gait recognition and biometric techniques. His experience spans from research associate roles to lecturing positions at HITEC University Taxila, showcasing his commitment to academia and research. Asif’s technical proficiency includes programming languages such as MATLAB, JavaScript, and Java, along with extensive experience in project development and academic projects. He resides in Attock, Punjab, Pakistan, and is open to providing references upon request.

Professional Profile:

Scopus

🎓 Education:

Asif Mehmood has pursued a remarkable academic journey, demonstrating consistent excellence in his educational endeavors. He commenced his formal education with a Bachelor of Science in Computer Sciences (BSCS) from the University of Wah, spanning from 2013 to 2017, where he attained a commendable CGPA of 3.46 out of 4.0. Building upon this foundation, he pursued a Master of Science in Computer Sciences (MSCS) at COMSATS University Islamabad, Wah Campus, from 2018 to 2020, achieving an impressive CGPA of 3.84. Asif further advanced his academic pursuits by undertaking a PhD in Computer Sciences at the same institution, currently in progress, with an outstanding CGPA of 3.94 thus far.

💼 Experience:

Asif Mehmood has enriched his professional experience through roles at HITEC University Taxila. He commenced as a Research Associate in January 2022, where he actively contributed to research endeavors until June 2022. Building upon his expertise, Asif transitioned into the role of Lecturer in Computer Science at the same institution in September 2022, a position he currently holds. These roles have allowed Asif to apply his academic knowledge and research skills in a practical setting while also nurturing the next generation of computer science professionals through teaching and mentorship.

📝 Projects:

Asif Mehmood has demonstrated his proficiency in software development and research through various notable projects. Among these, he developed a Document Clustering Search Engine using Java and MySQL, showcasing his skills in both programming and database management. Additionally, his thesis focused on Prosperous Human Gait Recognition, employing Machine Learning techniques within MATLAB, highlighting his expertise in this advanced field. Furthermore, Asif has undertaken diverse academic projects encompassing Assembly Language programming, Android app development, and web development, reflecting his versatility and innovative approach to problem-solving in the realm of computer science.

Publication Top Notes:

  1. Human Gait Recognition by using Two Stream Neural Network along with Spatial and Temporal Features
    • Authors: Mehmood, A.; Amin, J.; Sharif, M.; Kadry, S.
    • Journal: Pattern Recognition Letters, 2024, 180, pp. 16–25
    • Citations: 0
  2. Prosperous Human Gait Recognition: an end-to-end system based on pre-trained CNN features selection
    • Authors: Mehmood, A.; Khan, M.A.; Sharif, M.; Riaz, N.; Ashraf, I.
    • Journal: Multimedia Tools and Applications, 2024, 83(5), pp. 14979–14999
    • Citations: 24
  3. TS2HGRNet: A paradigm of two stream best deep learning feature fusion assisted framework for human gait analysis using controlled environment in smart cities
    • Authors: Khan, M.A.; Mehmood, A.; Kadry, S.; Alsubai, S.; Alqatani, A.
    • Journal: Future Generation Computer Systems, 2023, 147, pp. 292–303
    • Citations: 3
  4. Human gait analysis for osteoarthritis prediction: a framework of deep learning and kernel extreme learning machine
    • Authors: Khan, M.A.; Kadry, S.; Parwekar, P.; Khan, J.A.; Naqvi, S.R.
    • Journal: Complex and Intelligent Systems, 2023, 9(3), pp. 2665–2683
    • Citations: 23
  5. Human gait recognition: A deep learning and best feature selection framework
    • Authors: Mehmood, A.; Khan, M.A.; Tariq, U.; Mostafa, R.R.; ElZeiny, A.
    • Journal: Computers, Materials and Continua, 2021, 70(1), pp. 343–360
    • Citations: 8