Dr. Sweta Jain | Deep learning | Best Researcher Award
Associate professor | Maulana Azad National Institute of Technology | India
Dr. Sweta Jain is an accomplished academician and researcher in Computer Science Engineering, serving as Assistant Professor at MANIT, Bhopal. With a strong background in deep learning, computer vision, and wireless sensor networks, she has made significant contributions to both teaching and research. Her scholarly work is evidenced by impactful publications in reputed international journals and conferences, with a notable citation count and strong h-index. She has also authored several book chapters and supervised numerous postgraduate theses. Dr. Jain has played a pivotal role in establishing advanced research laboratories and has been actively engaged in administrative and academic responsibilities at the institute level. Beyond her teaching and research, she has delivered expert lectures, organized training programs, and contributed as a reviewer for reputed journals and conferences. Her vision is to leverage her expertise in developing real-life applications, particularly to support healthcare, elderly, and differently-abled communities through advanced computational techniques.
Profile
Orcid
Education
Dr. Sweta Jain pursued her academic journey in Computer Science Engineering at MANIT, Bhopal, completing her undergraduate, postgraduate, and doctoral studies with distinction. She achieved excellent academic performance at each level, securing top ranks and prestigious scholarships during her studies. Her doctoral research focused on Delay Tolerant Networks, contributing valuable insights into network communication frameworks. She gained expertise in areas such as deep learning, computer vision, wireless communication, and intelligent systems through her academic training. Her postgraduate education strengthened her research capabilities in advanced computational techniques and algorithms. The academic rigor and strong foundation gained at MANIT enabled her to contribute to emerging fields such as healthcare image analysis, intelligent networks, and Internet of Things applications. With a continuous pursuit of knowledge, she has expanded her educational base by participating in workshops, short-term training programs, and faculty development programs that further enhanced her skills in machine learning, simulation tools, and cybersecurity.
Professional Experience
Dr. Sweta Jain has extensive academic and research experience spanning teaching, supervision, consultancy, and administration at MANIT, Bhopal. Beginning her career as a lecturer, she progressed to Assistant Professor, contributing to undergraduate, postgraduate, and doctoral programs in Computer Science Engineering. Her teaching experience covers a wide range of courses, alongside guiding numerous master’s dissertations and supervising ongoing doctoral research. She has successfully led consultancy projects, including software and hardware testing consultancy, demonstrating her ability to apply academic knowledge to real-world industry challenges. She established specialized laboratories in Wireless Sensor Networks and Network Research, enabling advanced research and student projects. Dr. Jain has actively delivered expert lectures, conducted training workshops, and organized academic events to disseminate knowledge. In addition, she has held significant administrative roles including counseling, accreditation, departmental coordination, and committee memberships. Her rich experience reflects a balanced blend of teaching, research, industry collaboration, and academic leadership.
Awards and Honors
Dr. Sweta Jain has received notable recognition for her academic excellence and contributions. Early in her career, she was awarded the prestigious Meenakshi Bhave Scholarship for securing a top position in the state-level entrance examination. She also distinguished herself by securing third rank in her undergraduate program, reflecting her consistent academic brilliance. Beyond her student achievements, she has been recognized for her impactful publications and research contributions in high-quality international journals and conferences. She has also contributed as a reviewer for leading international journals such as IEEE Communication Letters and International Journal of Communication Systems, earning respect in the global research community. Her active involvement in international conferences as a program committee and review member highlights her standing as a recognized academic leader. Her ability to establish research laboratories with substantial funding reflects her leadership in securing grants and driving impactful projects, adding to her honors and recognition.
Research Focus
Dr. Sweta Jain’s research interests encompass deep learning, computer vision, wireless sensor networks, and delay tolerant networks. She has contributed significantly to image processing applications, particularly in medical imaging, with studies on cancer detection, diabetic retinopathy, lung nodule detection, and COVID-19 diagnosis using advanced neural networks. Her work in wireless sensor networks and IoT applications includes optimizing smart healthcare systems, developing efficient routing algorithms, and addressing spectrum prediction in cognitive radio networks. She has also explored buffer management, cooperation enforcement, and security frameworks in delay tolerant networks. Her recent focus extends to ensemble learning, generative adversarial networks, and transfer learning for agricultural applications and biomedical imaging. She has authored impactful publications across these domains, demonstrating the integration of artificial intelligence with real-world challenges. Her research vision is directed toward developing practical applications that support healthcare innovation, assist elderly and differently-abled populations, and advance sustainable computing solutions for society.
Publication
XAttentionHAR Ensemble: Leveraging Cross-Modal Attention for Enhanced Activity Recognition
Year: 2025
Optimizing Crop Yield Through IoT-Based Smart Irrigation with Fuzzy Control
Year: 2024
Pulmonary Lung Nodule Detection from Computed Tomography Images Using Two-Stage Convolutional Neural Network
Year: 2023
The Architectural Design of Smart Embedded Blind Stick by Using IOT
Year: 2023
XCapsNet: A deep neural network for automated detection of diabetic retinopathy
Year: 2023
Conclusion
Dr. Sweta Jain presents herself as a highly suitable candidate for a research award, combining academic excellence, impactful research, leadership in laboratory development, and meaningful contributions to teaching and institutional service. With her strong background in artificial intelligence applications, wireless sensor networks, and computer vision, her work addresses real-world challenges in healthcare, agriculture, and communication systems. By enhancing her global collaborations, securing larger research grants, and converting her innovations into patents or industry solutions, she can further elevate her academic influence and societal impact. She stands out as a promising and deserving researcher with significant potential for future achievements.