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Janbhasha Shaik | Blockchain Technology | Best Researcher Award

Assistant Professor at KLEF VIJAYAWADA, India.

Dr. Shaik Janbhasha is a dedicated academician and researcher with over 18 years of experience in computer science and engineering. Currently serving as an Assistant Professor at Koneru Lakshmaiah Education Foundation, he has contributed significantly to academia both in India and internationally, particularly during his tenure in Ethiopia under a UNDP initiative. His research interests include deep learning, artificial intelligence, and neural networks, focusing on real-world applications such as health diagnostics. Dr. Janbhashaā€™s commitment to education is evident through his consistent track record of excellent student results and recognition as a top faculty member. He has been honored with several awards for his teaching excellence, and his ongoing research endeavors reflect his passion for innovation in technology.

ProfilešŸ‘¤

Scopus

EducationšŸ“

Dr. Shaik Janbhasha holds a Ph.D. in Computer Science and Engineering from Acharya Nagarjuna University, where he is exploring deep learning methods for ECG classification. He completed his M.Tech in Computer Science from Jawaharlal Nehru Technological University, securing the top position in his college. His academic journey began with a B.Tech from Kakatiya University, where he achieved the second rank in his university. His educational background showcases a strong foundation in computer science, bolstered by consistent academic excellence throughout his studies. Additionally, he has completed his intermediate education as a gold medalist and holds a strong record in secondary education. Dr. Janbhashaā€™s educational achievements demonstrate not only his knowledge but also his commitment to academic excellence and his dedication to lifelong learning.

Ā ExperiencešŸ‘Øā€šŸ«

Dr. Shaik Janbhasha has amassed a wealth of experience over 18 years in the field of education and research. Currently, he serves as an Assistant Professor in the School of Computing at Koneru Lakshmaiah Education Foundation, where he began his role in October 2023. Prior to this, he was a Lecturer at Assosa University in Ethiopia, contributing to the United Nations Development Programā€™s sustainable development goals from 2014 to 2023. His experience also includes positions as an Associate Professor and Head of the IT Department at Laqshya Institute of Tech & Sciences, and various roles at other educational institutions in Telangana. His diverse teaching roles have equipped him with invaluable insights into the educational sector, while his international experience highlights his adaptability and commitment to global educational initiatives. Dr. Janbhashaā€™s extensive experience in academia positions him as a seasoned educator and a knowledgeable researcher.

Research InterestšŸ”¬Ā 

Dr. Shaik Janbhasha’s primary research interests lie in the realms of deep learning, artificial intelligence, and neural networks. His doctoral research focuses on using deep learning generative adversarial networks (GANs) for ECG classification to detect arrhythmia. This innovative work has significant implications for healthcare technology, demonstrating his commitment to applying theoretical concepts to real-world problems. Additionally, he has worked on projects involving the prediction of health conditions, such as breast cancer and diabetes, utilizing artificial neural networks. His research not only contributes to academic knowledge but also has the potential to impact public health positively. Dr. Janbhashaā€™s dedication to exploring emerging technologies and their applications showcases his passion for advancing the field of computer science and engineering.

Awards and HonorsšŸ†

Dr. Shaik Janbhasha has received numerous accolades throughout his academic career, reflecting his commitment to excellence in education and research. He was recognized as the Best Faculty at Assosa University in 2015 and received the Best Faculty Award in 2008 from SRR Engineering College, underscoring his effectiveness as an educator. His consistent achievement of 100% results in undergraduate and postgraduate subjects is a testament to his dedication to student success. Additionally, he has been ratified as an Assistant Professor by JNT University Hyderabad on two occasions, further validating his academic qualifications. His educational accomplishments also include being a gold medalist and a top-ranking student in his intermediate and postgraduate studies. Dr. Janbhasha’s awards and honors highlight his significant contributions to academia and his passion for fostering student learning.

SkillsšŸ› ļø

Dr. Shaik Janbhasha possesses a diverse set of skills that enhance his effectiveness as a researcher and educator. He is proficient in programming languages such as C, Python, PHP, and Prolog, which are essential for developing software and conducting research in artificial intelligence and deep learning. Additionally, his expertise in operating systems, including Windows and Ubuntu, and database management with MySQL, further strengthens his technical competencies. Dr. Janbhasha has taught various subjects, including artificial intelligence, machine learning, and network security, demonstrating his comprehensive understanding of computer science. His leadership skills are evident through his roles in coordinating projects and leading departments, while his professional memberships in organizations such as the Computer Society of India and the International Association of Engineers highlight his commitment to continuous professional development and networking within the academic community.

Conclusion šŸ”Ā 

In conclusion, Dr. Shaik Janbhasha emerges as a prominent candidate for the Best Researcher Award due to his extensive experience, robust educational background, and significant contributions to research and teaching. His dedication to advancing knowledge in computer science, particularly in deep learning and its applications, showcases his commitment to making a positive impact on society. With numerous accolades and a proven track record of excellence in education, Dr. Janbhasha exemplifies the qualities of a leading researcher. His ongoing pursuit of knowledge and commitment to fostering student success highlight his potential for further contributions to academia. As a passionate educator and a dedicated researcher, Dr. Janbhasha is well-positioned to continue making significant strides in the field of computer science and engineering.

Publication Top Notes

Title: A private Ethereum blockchain for organ donation and transplantation based on intelligent smart contracts
Authors: Sitharamulu, V., Sucharitha, G., Nandan Mohanty, S., Janbhasha, S., Kothandaraman, D.
Year: 2024
Citation: Egyptian Informatics Journal, 28, 100542.

Title: Arrhythmia Detection Using ECG-Based Classification with Prioritized Feature Subset Vector-Associated Generative Adversarial Network
Authors: Shaik, J., Bhavanam, S.N.
Year: 2023
Citation: SN Computer Science, 4(5), 519.

Title: Recurrent Ascendancy Feature Subset Training Model using Deep CNN Model for ECG based Arrhythmia Classification
Authors: Janbhasha, S., Bhavanam, S.N.
Year: 2023
Citation: International Journal of Advanced Computer Science and Applications, 14(5), pp. 639ā€“647.

Title: GAN-Based Data Imbalance Techniques for ECG Synthesis to Enhance Classification Using Deep Learning Techniques and Evaluation
Authors: Janbhasha, S., Bhavanam, S.N., Harshita, K.
Year: 2023
Citation: 2023 3rd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023.

Title: A Comparative Analysis of the Feature Selection Process Using Deep Learning Methods for Arrhythmia
Authors: Janbhasha, S., Bhavanam, S.N.
Year: 2023
Citation: 2023 IEEE International Students’ Conference on Electrical, Electronics and Computer Science, SCEECS 2023.

Title: Identification of Generative Adversarial Network Forms, Open Issues, and Future Study Areas: A Study
Authors: Benti, D.M., Janbhasha, S., Desisa, E.G.
Year: 2023
Citation: Lecture Notes in Networks and Systems, 517, pp. 303ā€“313.

Title: Identifying Learning Standards of Artificial Neural Networks: A Study
Authors: Desisa, E.G., Janbhasha, S., Meru, G.A.
Year: 2022
Citation: Smart Innovation, Systems and Technologies, 248, pp. 225ā€“239.

Janbhasha Shaik | Blockchain Technology | Best Researcher Award

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