Mrs. Kavitha Duraipandian | Machine learning Awards | Excellence in Research

Mrs. Kavitha Duraipandian | Machine learning Awards | Excellence in Research

Mrs. Kavitha Duraipandian, Sathyabama Institute of Science and Technology, India

Mrs. Kavitha Duraipandian is an Assistant Professor at Sathyabama Institute of Science and Technology, Chennai, and is currently pursuing a Ph.D. in Deep Learning at SRM Institute of Science and Technology. She holds a Master’s degree in Computer Science from Anna University and a Bachelor’s degree from Madras University. With a rich teaching career spanning roles at SRM Institute of Science and Technology, Dhaanish Ahmed College of Engineering, and other institutions, Kavitha has instructed various subjects, including Machine Learning and Cloud Computing. She has earned accolades such as “The Real Super Woman 2020” award and the Woman MoU Leader of the Year 2024 award. Kavitha also mentors over 75 students in Indo-Global internships, focusing on ML, DL, AI, and Cybersecurity.

Professional Profile:

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🎓 Education:

Kavitha Duraipandian is currently pursuing a Ph.D. in Deep Learning at SRM Institute of Science and Technology, Kattankulathur (since January 2020). She holds a Master of Engineering in Computer Science from Anna University (2009-2011) with a 79% score and a Bachelor of Engineering in Computer Science from Madras University (1997-2001) with a 70% score.

💼 Academic Experience:

Kavitha is an Assistant Professor at Sathyabama Institute of Science and Technology, Chennai (since June 2024). She has previously served as an Assistant Professor at SRM Institute of Science and Technology, Ramapuram (2019-2024), and Dhaanish Ahmed College of Engineering, Chennai (2011-2019). Her earlier roles include Lecturer positions at Tagore Engineering College, Sri Sai Ram Engineering College, and Thiruvalluvar College of Engineering and Technology.

🏆 Awards and Achievements:

Kavitha has coordinated and mentored a team that won first prize in the International App Development Competition (2020) and has received several accolades, including “The Real Super Woman 2020” award and the Woman MoU Leader of the Year 2024 award.

🌐 International Mentorship:

She mentors over 75 students in Indo-Global Summer/Winter Internships, focusing on ML, DL, AI, and Cybersecurity, in collaboration with MIT Square, London, and foreign universities.

📚 Subjects Handled:

Kavitha has taught a wide range of subjects under both deemed universities and Anna University-affiliated institutions, including Information Storage and Management, Machine Learning applications, Cloud Computing, Database Management Systems, Data Structures, Software Engineering, and more.

Publication Top Notes:

 

 

 

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

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:

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🎓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

 

 

Ms. Sandhya Sharma | Machine learning Awards | Best Researcher Award

Ms. Sandhya Sharma | Machine learning Awards | Best Researcher Award

Ms. Sandhya Sharma, Muroran Institute of Technology, Nepal

Ms. Sandhya Sharma is currently pursuing her PhD in Informatics at the Muroran Institute of Technology, Hokkaido, Japan. She holds a Master’s in Zoology with a specialization in Ecology from the Central Department of Zoology, Kirtipur, Nepal, and a Bachelor’s in Zoology from Patan Multiple Campus, Nepal. 🦁 Professionally, she is a Wildlife Researcher at the Himali Conservation Forum in Taplejung, Nepal, where she develops conservation projects, oversees coordination, monitors progress, and reports on milestones. Previously, as a Consultant at the Zoological Society of London-Nepal, she conducted social surveys and analyzed wildlife data in the Chitwan-Makwanpur-Parsa Conservation Area. 📚 Sandhya has also been a Part-time Lecturer in biostatistics at Tribhuvan University and a Secondary Level Teacher at Buddha Academy Kathmandu. Additionally, she mentored over 150 young girls through the Underprivileged Girls Education Support Program in Kathmandu. 🐾 As a World Wildlife Fund Intern, she managed data, assisted in report writing, installed and monitored wildlife cameras, and conducted wildlife observations in the Gaurishankar Conservation Area.

Professional Profile:

Orcid

🎓 Educational Journey

Sandhya Sharma is currently pursuing her PhD in Informatics at the Muroran Institute of Technology, Hokkaido, Japan. She holds a Master’s Degree in Zoology with a specialization in Ecology from the Central Department of Zoology, Kirtipur, Nepal, and a Bachelor’s Degree in Zoology from Patan Multiple Campus, Nepal.

🦁 Professional Experience

Wildlife Researcher (2018-Ongoing) Sandhya works at the Himali Conservation Forum in Taplejung, Nepal. She develops and implements conservation projects, oversees coordination, monitors progress, and reports on key milestones. Her role involves data interpretation, hypothesis testing, and strategy improvement.

Consultant (2017-2018) At the Zoological Society of London-Nepal, Sandhya conducted social surveys and analyzed data on wildlife in Chitwan – Makwanpur – Parsa Conservation Area. She established Community Conservation Units and contributed to scientific journal articles on species like Pangolin, Tiger, and Gharial.

📚 Teaching and Mentorship

Part-time Lecturer (2017) Sandhya taught biostatistics to Master’s students at Tribhuvan University, assisting them with field surveys and data analysis.

Secondary Level Teacher (2009-2011) At Buddha Academy Kathmandu, she taught science and mathematics to secondary students, providing guidance and counseling for academic challenges.

Part-time Mentorship (2008-2011) Through the Underprivileged Girls Education Support Program (UGESP) in Kathmandu, Sandhya mentored over 150 young girls, educating them on various topics and tracking their educational progress.

🐾 Internship and Field Work

World Wildlife Fund Intern (2016-2017) Sandhya managed data, assisted in report writing, installed and monitored wildlife cameras, and conducted wildlife observations in the Gaurishankar Conservation Area.

Publication Top Notes:

  • Enhancing Sika Deer Identification: Integrating CNN-Based Siamese Networks with SVM Classification
    • Published Year: 2024
  • A Methodological Literature Review of Acoustic Wildlife Monitoring Using Artificial Intelligence Tools and Techniques
    • Published Year: 2023
  • Livestock Depredation by Leopards and Tigers Near Bardia National Park, Nepal
    • Published Year: 2021
  • Knowledge of the Critically Endangered Chinese pangolin (Manis pentadactyla) by local people in Sindhupalchok, Nepal
    • Published Year: 2020
  • People’s Knowledge of Illegal Chinese Pangolin Trade Routes in Central Nepal
    • Published Year: 2020

 

 

Dr. Fatemeh Aghagoli | Machine Learning Awards | Best Researcher Award

Dr. Fatemeh Aghagoli | Machine Learning Awards | Best Researcher Award

Dr. Fatemeh Aghagoli, Iran University of Science and Technology, Iran 

🎓 Fatemeh Aghagoli is a Ph.D. student at the Iran University of Science and Technology, specializing in Mathematics and Computer Science. She is affiliated with the Faculty of Mathematics and Computer Science and is a member of the National Elite Foundation of Iran, recognized for her academic excellence. 🔍 Her primary research interests encompass machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling, particularly focusing on applications in medical science. 🌐 Actively contributing to cutting-edge research initiatives, Fatemeh leverages her expertise to address complex challenges in medical science, aiming to advance diagnostics and treatment methodologies. 📊 With a commitment to interdisciplinary applications, she has demonstrated exceptional academic prowess and a dedication to pushing the boundaries of knowledge in her field.

Professional Profile:

Google Scholar

🎓 Education:

Fatemeh Aghagoli is a Ph.D. student at the Iran University of Science and Technology, specializing in Mathematics and Computer Science. She is also a member of the National Elite Foundation of Iran, recognizing her academic excellence.

🔍 Research Interests:

Fatemeh’s primary research interests revolve around machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling, particularly in the field of medical science.

📊 Expertise:

With a focus on interdisciplinary applications, Fatemeh leverages her expertise in machine learning and image processing to address complex challenges in medical science, aiming to advance diagnostics and treatment methodologies.

🌟 Achievements:

As a member of the National Elite Foundation, Fatemeh has demonstrated exceptional academic prowess and a commitment to pushing the boundaries of knowledge in her field.

Publications Top Note :

A novel approach for automatic tumor detection and localization in mammography images via mixture of factor analyzers based on co-clustering

  • Published in Biomedical Signal Processing and Control in 2024.