Dr. Bala Krishna Gubba : Leading Researcher in IoT Networking

Dr. Bala Krishna Gubba, Anurag University, India

Congratulations, Dr. Bala Krishna Gubba, on winning the esteemed Best Faculty Award from ScienceFather! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field.

Professional Profiles:

.   Scopus

.   Google Scholar

Education: 

o    Ph.D. Computer Science and Engineering, 2021

o    M. Tech, Computer Science and Engineering, 2011

Awards and Honors :

•   “Best Research Award” constituted by IJIEMR –Elsevier SSRN for an excelling in research, awarded annually.

•   Reviewer for “ ICACECS-2021”organized by VNRVJIET, Hyderabad in July 2021 and reviewed 20+ articles.

•   Reviewer for Peerj Computer Science (SCIE Journal) Sept 2021 onwards.

Professional Experience :

Assistant Professor : Anurag Group of Institutions, Hyderabad  ( June 2012 – Present )  – Ratified by JNTUH as Assistant Professor

Research Interest :

1.   Agriculture data Analysis

2.   Data Optimization Techniques

3.   Natural Language Processing

4.   Internet of Things

5.   Big Data Analytics

6.   Deep Learning

 

Publications: 16 documents indexed in Scopus.

Citations: A total of 57 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

Bala Krishna citation metrics and indices from Google Scholar are as follows:

• Cited by:     All    |   Since 2018
• Citations:   60    |      60
• h-index:       4     |       4
• i10-index:    3     |       3

These metrics showcase the impact of BalaKrishna work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Publications ( Top Note ) :

1.   An improved energy-efficient cloud-optimized load-balancing for IoT frameworks

2.   Data Augmentation Techniques on Chilly Plants to Classify Healthy and Bacterial Blight Disease Leaves

3.   Implementing Solar Power Smart Irrigation System

4.   An optimal iot device placement strategy for agro-iot using edge computing

5.   Paddy leaf disease detection using cnn

6.   Detection of disease in plants using RWSA and fuzzy logic

7.  The Automatic Agricultural Crop Maintenance System using Runway Scheduling Algorithm: Fuzzyc-LR for IoT Networks

 

 

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of Network Protocols, Technology and Communication.