Ms. Anusha Jayasimhan | Mode compression Award | Best Researcher Award

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Ms. Anusha Jayasimhan | Mode compression Award | Best Researcher Award

Ms. Anusha Jayasimhan, Anna University, India

Ms. Anusha Jayasimhan is a dedicated educator and researcher currently pursuing her Ph.D. in Computer Technology at Anna University, MIT Campus, Chennai 🎓. With a strong foundation in Computer Science, including an M.E. from Thadomal Shahani Engineering College and a B.E. from Thakur College of Engineering 📚, she brings a wealth of academic rigor and practical experience to her roles. Anusha’s professional journey spans teaching and mentoring roles at institutions like Anna University and Fr. Conceicao Rodrigues College of Engineering 👩‍🏫, where she championed courses in AI, Machine Learning, and more. Her research interests center on AI and machine learning, particularly in optimizing convolutional neural networks for sustainability 🌱. Anusha’s contributions extend beyond academia, with certifications in cutting-edge technologies and active involvement in conferences and faculty development programs 🏆.

🌐 Professional Profile:

Google Scholar

🎓 Educational Background

Anusha Jayasimhan is a dedicated educator and researcher currently pursuing a Ph.D. in Computer Technology at Anna University, MIT Campus, Chennai, with her thesis on “Devising Model Compression Methodologies for Sustainable Convolutional Neural Networks.” She holds an M.E. in Computer Science from Thadomal Shahani Engineering College and a B.E. in Computer Science from Thakur College of Engineering, both under Mumbai University.

👩‍🏫 Professional Experience

Teaching Fellow | Anna University, MIT Campus (2018 – 2020)
Anusha conducted courses in AI, Machine Learning, Cloud Computing, Computer Architecture, and Structured Programming with C. She supervised student projects, including notable AI-based healthcare solutions, and managed department-level responsibilities such as timetabling, conference organization, and NBA accreditation.

Assistant Professor | Fr. Conceicao Rodrigues College of Engineering (2012 – 2018)
Anusha taught courses like Structured Programming, AI, OOP with Java, Data Warehousing, and Competitive Coding. She mentored 20 undergraduate students annually and took on various in-charge roles for cultural and technical events, including the “Euphoria” festival and “Fr. Conceicao Rodrigues Memorial Debate.”

Instructor | Neebal Learning (Kossine) (2011 – 2012)
Anusha conducted courses in C, C++, Java, Data Structures and Algorithms, and Database Management Systems.

🏆 Certifications and Skills

Anusha is certified in Convolutional Neural Networks (DeepLearning.AI, 2022), Machine Learning (Stanford University, 2021), Deep Learning (NPTEL, 2021), and more. She is proficient in programming languages (C, C++, Java, Python) and machine learning frameworks (PyTorch, TensorFlow, Keras, Scikit-learn), and is experienced with cloud tools like Google Colab and AWS.

🔬 Research Interests

Anusha’s research focuses on artificial intelligence, machine learning, and data structures, with a particular interest in computer vision, deep learning, convolutional neural networks, and algorithms. Her objective is to drive impactful research projects and publish groundbreaking findings in top-tier journals and conferences.

🌐 Achievements and Contributions

Anusha has conducted Faculty Development Programmes and co-chaired the Technical Committee for the biennial conference ICAC3 (2017). She has delivered Universal Human Values (UHV) sessions for first-year engineering students from 2019-2023 and passed the UGC-NET examination in December 2018.

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Dr. Fettah Amina | Image Compression | Best Researcher Award

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Dr. Fettah Amina | Image Compression | Best Researcher Award

Dr. Fettah Amina, Echahid Cheikh Larbi Tebessi University, Algeria

👩‍💼 Dr. Fettah Amina is a dedicated PhD student in artificial intelligence at El Chahid Cheikh Laarbi Tébessi University in Tébessa, Algeria. With a Bachelor’s and Master’s degree in Computer Systems and Systems and Multimedia respectively, from the same university, she has fortified her academic journey. Holding a Cisco CCNA routing and switching certification from NSFP in Tébessa further solidifies her expertise. Amina’s practical experience encompasses roles at Algérie Télécom, focusing on communication channel multiplexing, and as a vaccataire at the Department of Social Sciences in Tébessa, where she taught computer science tutorials. Her passion lies in artificial intelligence, particularly in deep learning, machine learning, image compression, and medical imaging, as evidenced by her notable research contributions and publications. 🌟

Professional Profile:

Google Scholar

🎓 Education:

Amina is currently a PhD student in artificial intelligence at El Chahid Cheikh Laarbi Tébessi University in Tébessa. She completed her Bachelor’s degree in Computer Systems and a Master’s degree in Systems and Multimedia at the same university. Additionally, she holds certifications in Cisco CCNA routing and switching from NSFP in Tébessa.

💼 Experience:

Amina has gained practical experience through various roles, including a practical training assignment at Algérie Télécom, where she focused on multiplexing between communication channels. She has also served as a vaccataire (temporary teaching assistant) at the Department of Social Sciences in Tébessa, teaching computer science tutorials.

🔬 Expertise:

Amina’s expertise lies in artificial intelligence, particularly in deep learning, machine learning, image compression, and medical imaging. She has conducted research in these areas, resulting in publications such as “Machine Learning for Medical Image Analysis: A Survey” presented at the International Conference on Advanced Intelligent Systems for Sustainable Development, and “Convolutional Autoencoder-Based Medical Image Compression using a Novel Annotated Medical X-ray Imaging Dataset” published in Biomedical Signal Processing and Control.

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