Moumita Chanda | Deep Learning | Best Researcher Award

Posted on by Academic achievements

Ms.Moumita Chanda | Deep Learning | Best Researcher Award

Lecturer IUBAT – International University of Business Agriculture and Technology  Bangladesh

Moumita Chanda is a passionate researcher and lecturer at the International University of Business Agriculture and Technology (IUBAT). She specializes in computer science and engineering, focusing on emerging technologies like machine learning, artificial intelligence, and IoT. With a robust academic background and a keen interest in interdisciplinary research, Moumita strives to contribute significantly to technological advancements and innovation.

Profile

Google Scholar

Education

🎓 Moumita Chanda earned her M.Sc. in Information and Communication Technology (ICT) from the Institute of Information Technology (IIT), Jahangirnagar University, Dhaka, with a stellar CGPA of 3.71/4.00, securing the 1st position among her peers in 2022-2023. She also holds a B.Sc. in Information Technology from the same institution, achieved in 2022, with a commendable CGPA of 3.53/4.00. Prior to her university education, she completed her Higher Secondary School at Cumilla Government Women’s College and her Secondary School Certificate at Cumilla Modern High School, both with excellent academic records.

Experience

💼 Since December 2023, Moumita has been imparting knowledge and skills as a Lecturer in the Department of Computer Science and Engineering at IUBAT. Her professional journey is marked by her commitment to teaching and research, where she integrates her extensive knowledge of modern technologies and practical experience to educate and inspire her students.

Research Interest

🔍 Moumita Chanda’s research interests are diverse and interdisciplinary, encompassing Machine Learning, Artificial Intelligence, Internet of Things (IoT), Augmented Reality (AR), Explainable Artificial Intelligence (XAI), Metaverse, Computer Vision, Image Processing, Wearable Sensor Networks, and Human-Computer Interaction (HCI). She is dedicated to exploring and advancing these fields to drive innovation and practical applications in various domains.

Awards and Achievements

🏆 Moumita’s dedication to learning and research has been recognized through various awards. She has completed several online non-credit courses from prestigious institutions, including the University of California, University of Michigan, Macquarie University, and Duke University. Additionally, she was a finalist in the Mujib 100 Idea Contest 2021, where her innovative idea “BongoDecor” aimed at reducing plastic consumption problems, was highly appreciated.

Publications

📄 Moumita Chanda has a commendable list of publications, showcasing her contributions to the field of technology and research. Some of her notable works include:

  • “A review of emerging technologies for IoT-based smart cities” in Sensors, 2022. Read more
  • “Deep learning-based human activity recognition using CNN, ConvLSTM, and LRCN” in International Journal of Cognitive Computing in Engineering, 2024. Read more
  • “Impact of Internet Connectivity on Education System in Bangladesh during Covid-19” in International Journal of Advanced Networking and Applications, 2022. Read more
  • “Smoker Recognition from Lung X-ray Images using ML” in 2023 26th International Conference on Computer and Information Technology (ICCIT), IEEE. Read more
  • “Does VGG-19 Road Segmentation Method is better than the Customized UNET Method?” Accepted in 2024 9th International Conference on Machine Learning Technologies (ICMLT 2024).

 

 

ANUJA BHARGAVA | Artificial Intelligence | Most Cited Paper Award

Posted on by Academic achievements

Assist Prof Dr. ANUJA BHARGAVA | Artificial Intelligence | Most Cited Paper Award

Assistant Professor GLA University India

Dr. Anuja Bhargava is an accomplished academic and researcher, currently serving as an Assistant Professor at GLA University, Mathura. With a Ph.D. in Electronics and Communication Engineering, she specializes in Digital Signal Processing, VLSI, and Artificial Intelligence. Dr. Bhargava has a wealth of teaching experience and has published extensively in renowned journals and conferences. Her dedication to education and research has earned her a prominent place in her field.

Profile

Scopus

Education 🎓

Dr. Anuja Bhargava earned her Ph.D. in Electronics and Communication Engineering from GLA University, Mathura, where she conducted groundbreaking research on “Quality Evaluation of Fruits using Image Processing.” She holds a Master of Technology in Digital Communication from Uttrakhand Technical University and a Bachelor of Engineering in Electronics and Communication Engineering from Modi Institute of Technology, Kota, both with first-class honors.

Experience 🏫

Dr. Bhargava’s academic journey includes roles as Assistant Professor at GLA University since October 2021, and previously at Gurukul Institute of Engineering & Technology and Maharishi Arvind International Institute of Technology. Her extensive teaching experience spans over a decade, focusing on various aspects of electronics and communication engineering.

Research Interests 🔍

Dr. Bhargava’s research interests are diverse and include Digital Signal Processing, Very Large Scale Integration (VLSI), Control Systems, Signal and Systems, Electromagnetic Field Theory, Microprocessors, and Basic Electrical and Electronics. She is particularly interested in the application of Artificial Intelligence in these domains.

Awards 🏆

Dr. Anuja Bhargava has been recognized for her contributions to academia and research with various awards and nominations. She has served as a keynote speaker at international conferences and received accolades for her innovative research and teaching methodologies.

Publications Top Notes 📚

Gupta D, Bhargava A, et al. “Deep Learning-Based Truthful and Deceptive Hotel Reviews.” Sustainability, 2024, link, cited by articles.

Bhargava A, et al. “Plant Leaf Disease Detection, Classification and Diagnosis using Computer Vision and AI: A Review.” IEEE Access, 2024, link, cited by articles.

Sachdeva A, Bhargava A, et al. “A CNTFET based stable, single ended 7T SRAM cell with improved write operation.” Physica Scripta, 2024, link, cited by articles.

Bhargava A, et al. “Machine learning & computer vision-based optimum black tea fermentation detection.” Multimed Tools Appl, 2023, link, cited by articles.

Sharma A, Bhargava A, et al. “Multi-level Segmentation of Fruits Using Modified Firefly Algorithm.” Food Anal. Methods, 2022, link, cited by articles.