Dr. Punitha A | Machine Learning | Women Researcher Award

Dr. Punitha A | Machine Learning | Women Researcher Award

Dr. Punitha A | K Ramakrishnan College of Technology | India

Dr. A. Punitha is a distinguished professor with 20 years of experience in the Electronics and Communication Engineering field. She is currently a faculty member at M.A.M School of Engineering, Trichy, where she also serves in leadership roles like NBA Coordinator, Head of the Department, and R&D In-Charge. Dr. Punitha is highly involved in research, especially in AI, IoT, and machine learning applications, and has received multiple research grants. Her work includes real-time monitoring systems, intrusion detection, and bio mask development. She is a prolific academic, with numerous publications and active contributions to conferences ๐Ÿ“š๐Ÿ‘ฉโ€๐Ÿซ๐Ÿค–.

Professional Profile:

SCOPUS

Suitability for Women Researcher Award

Dr. A. Punitha is highly suitable for the Women Researcher Award due to her extensive experience, leadership in academia, and significant contributions to the fields of Electronics and Communication Engineering, particularly in cutting-edge technologies such as AI, IoT, and machine learning.Dr. Punitha’s research focuses on innovative and impactful fields such as AI, IoT, and machine learning applications. She has worked on various cutting-edge projects, including real-time monitoring systems, intrusion detection systems, and bio mask development, which directly address real-world challenges. Her work in these domains exemplifies her contribution to advancing technology and creating solutions that have the potential to significantly benefit society.

Education and Experience

  • Ph.D. in Electronics and Communication Engineering ๐ŸŽ“
  • M.E. in Electronics and Communication Engineering ๐ŸŽ“
  • Total Experience: 20 Years โณ
  • NBA Coordinator & Head of Department of ECE ๐Ÿซ
  • R&D In-Charge, MAMSE ๐Ÿงช
  • IIC Convener & Innovation Ambassador ๐Ÿš€
  • International Conference Coordinator ๐ŸŒ
  • Japanese Language Training Coordinator ๐Ÿ‡ฏ๐Ÿ‡ต
  • Coordinated AICTE and Tamil Nadu Science funding projects ๐Ÿ’ธ

Professional Development

Dr. A. Punitha is an accomplished academic who actively contributes to the growth of her department and the institution. She has played a significant role in organizing faculty development programs, seminars, and workshops. Her involvement in innovation and research is evident through her leadership in receiving multiple grants, such as the Rs. 3.5 lakh AICTE ATAL fund and Tamil Nadu Science and Technology funds. Dr. Punitha has also acted as a resource person in webinars and conferences, discussing vital topics such as NEP 2020 and OBE. Her dedication to improving teaching quality and research at MAMSE remains evident ๐ŸŒฑ๐Ÿ“š๐Ÿ’ก.

Research Focus

Dr. A. Punithaโ€™s research is centered around leveraging advanced technologies like AI, IoT, and machine learning to solve real-world problems. Her work explores areas such as intrusion detection in wireless sensor networks, brain tumor detection using CNN, and real-time monitoring systems like drowsy driving detection. She is also focusing on developing bio masks for sanitization and enhancing food processing in Industry 5.0 using AI. Dr. Punitha aims to create innovative solutions that contribute to both the academic and practical fields of technology ๐ŸŒ๐Ÿค–๐Ÿ”ฌ.

Awards and Honors

  • Received Rs. 3.5 Lakh from AICTE ATAL for Faculty Development Program (2024) ๐Ÿ’ฐ
  • Funded Rs. 2.8 Lakh by Tamil Nadu Science and Technology for “Bio Mask Project” ๐Ÿ’ก
  • Awarded Rs. 20,000 for “Intra Project Expo 2021” by Tamil Nadu Science and Technology ๐ŸŽ‰
  • Webinar Resource Person for “NEP 2020” and “OBE” at MAMSE ๐ŸŽค
  • Co-principal Investigator for AICTE and Tamil Nadu Science-funded projects ๐Ÿ†
  • Acted as Organizing Committee Member for National Conference with CSIR funding (Rs. 50,000) ๐Ÿ—ฃ๏ธ

Publication Top notes:

  • “Dynamically stabilized recurrent neural network optimized with intensified sand cat swarm optimization for intrusion detection in wireless sensor network”
  • “Enhancing the Food Processing in Industry 5.0 Based on Artificial Intelligence”– Cited by: 1๏ธโƒฃ
  • “REAL TIME MONITORING AND DETECTION OF DROWSY DRIVING”
  • “Smart Method for Tollgate Billing System Using RSSI”ย  – Cited by: 3๏ธโƒฃ
  • “Privacy preservation and authentication on secure geographical routing in VANET”ย – Cited by: 6๏ธโƒฃ
  • “Secure group authentication technique for VANET”ย – Cited by: 5๏ธโƒฃ
  • “Location verification technique for secure geographical routing in VANET”ย – Cited by: 2๏ธโƒฃ

 

 

 

Shadi Atalla | Data Science | Best Researcher Award

Shadi Atalla | Data Science | Best Researcher Award

Dr. Shadi Atalla, University of DUbai, United Arab Emirates.

Publication profile

Googlescholar

Education:

  • Ph.D. in Computer Networks, Politecnico di Torino, Italy (2012)ย ๐ŸŽ“๐Ÿ‡ฎ๐Ÿ‡น
  • M.Sc. in Computer and Communication Networks, Politecnico di Torino, Italy (2008)ย ๐Ÿ’ป๐Ÿ“ก
  • B.Sc. in Computer Engineering, An-Najah National University, Palestine (2004)ย ๐Ÿ–ฅ๏ธ๐Ÿ‡ต๐Ÿ‡ธ

Experience:

  • Associate Professor & Director, Computing & Information Systems, University of Dubai (2021โ€“Present)ย ๐Ÿซ๐Ÿ’ผ
  • Assistant Professor, University of Dubai (2016โ€“2021)ย ๐Ÿซ๐Ÿ“š
  • Visiting Professor, Al Ghurair University, Dubai (2014โ€“2016)ย ๐ŸŒ๐ŸŽ“
  • Post-Doctoral Researcher, Istituto Superiore Mario Boella, Italy (2012โ€“2014)ย ๐Ÿง‘โ€๐Ÿ’ป๐Ÿ‡ฎ๐Ÿ‡น
  • Researcher, Istituto Superiore Mario Boella, Italy (2008โ€“2009)ย ๐Ÿ”ฌ๐Ÿ‡ฎ๐Ÿ‡น
  • Teaching Assistant, An-Najah National University, Palestine (2004โ€“2006)ย ๐Ÿ“š๐Ÿ‡ต๐Ÿ‡ธ
  • Network Architect, Net Point Company for Wireless Communication, Palestine (2004)ย ๐ŸŒ๐Ÿ”ง

Suitability For The Award

Dr. Shadi Atalla is an outstanding candidate for the Best Researcher Award due to his significant contributions to the fields of computing, information systems, and data science. With a proven track record of high-impact research, leadership in academic programs, and a commitment to advancing cutting-edge technologies, Dr. Atalla has consistently demonstrated excellence in his field. His involvement in internationally recognized projects, coupled with his ability to secure substantial research funding, positions him as a leading researcher in his domain.

Professional Developmentย 

Dr. Shadi Atalla has participated in numerous professional development programs to enhance his expertise in the ever-evolving fields of computing and data science. He has completed certifications in Applied Data Science, Machine Learning, and Python from the University of Michigan and IBM, showcasing his commitment to continuous learning. He has also participated in training on program assessment and accreditation (ABET), Generative AI, and various data science applications. His focus on innovation is evident from his active engagement in professional development programs that enable him to integrate new technologies such as AI, cloud computing, and big data analytics into academic curricula.ย ๐Ÿง‘โ€๐Ÿซ๐Ÿ’ก๐Ÿ“Š

Research Focusย 

Awards and Honors

  • Excellence in Research Award, University of Dubai (2022, 2019)ย ๐Ÿ†๐Ÿ“š
  • Best Paper Award, ICSPIS 2022ย ๐Ÿฅ‡๐Ÿ“‘
  • Honours College, An-Najah National Universityย ๐Ÿ…๐ŸŽ“
  • TopMed 2nd Level Master Scholarshipย (2 years)ย ๐ŸŽ“๐ŸŒ
  • Full Politecnico di Torino PhD Scholarshipย (3 years)ย ๐ŸŽ“๐Ÿ‡ฎ๐Ÿ‡น

Publoication Top Notes

  1. Smart real-time healthcare monitoring and tracking system using GSM/GPS technologies
    K Aziz, S Tarapiah, SH Ismail, S Atalla | Cited by: 167 | Year: 2016ย ๐Ÿ“ก๐Ÿฅ
  2. Decoding ChatGPT: a taxonomy of existing research, current challenges, and possible future directions
    SS Sohail, F Farhat, Y Himeur, M Nadeem, Dร˜ Madsen, Y Singh, S Atalla, … | Cited by: 157 | Year: 2023ย ๐Ÿค–๐Ÿ“š
  3. A comprehensive review of recent research trends on unmanned aerial vehicles (UAVs)
    K Telli, O Kraa, Y Himeur, A Ouamane, M Boumehraz, S Atalla, … | Cited by: 117 | Year: 2023ย ๐Ÿš๐Ÿ”
  4. An innovative deep anomaly detection of building energy consumption using energy time-series images
    A Copiaco, Y Himeur, A Amira, W Mansoor, F Fadli, S Atalla, SS Sohail | Cited by: 83 | Year: 2023ย ๐Ÿ โšก
  5. Scientometric Analysis and Classification of Research Using Convolutional Neural Networks: A Case Study in Data Science and Analytics
    M Daradkeh, L Abualigah, S Atalla, W Mansoor | Cited by: 56 | Year: 2022ย ๐Ÿ“Š๐Ÿง 
  6. IoT-enabled precision agriculture: Developing an ecosystem for optimized crop management
    S Atalla, S Tarapiah, A Gawanmeh, M Daradkeh, H Mukhtar, Y Himeur, … | Cited by: 55 | Year: 2023ย ๐ŸŒพ๐Ÿ“ก
  7. Social Media for Teaching and Learning within Higher Education Institution: A Bibliometric Analysis of the Literature (2008-2018)
    KF Hashim, A Rashid, S Atalla | Cited by: 54 | Year: 2018ย ๐Ÿ“ฑ๐Ÿ“š