Dr. Basavaprasad B

Author & Researcher: Dr. Basavaprasad Benchamardimath

Primary Research Areas: Graph Theory, Digital Image Processing, E-Governance, and Algorithm Design.

I. Books & Academic Texts

Basavaprasad, B. (2023). DSC 3D Design and Analysis of Algorithms. ABS Books. ISBN: 978-9394461550.

A foundational text for undergraduate Computer Science, focusing on complexity analysis and practical algorithmic structures.

II. Key Journal Publications (Chronological Selection)

Dr. Basavaprasad's research is heavily cited in the field of Graph Cuts and Medical Imaging.

2021 – 2025: Recent Innovations

Basavaprasad, B., & Ravindra, S. (2022). "Technology in Indian Agriculture - A Indonesian Journal of Electrical Engineering and Computer Science.

Basavaprasad, B. (2021). "Analysis of Rice Ageing Process Using Fuzzy and Graph Journal of Computational and Theoretical Nanoscience.

Basavaprasad, B. (2020). "Image Segmentation using MSNCut International Journal of Computer Appli

EDUCATION

Ph.D. in Computer Science (2019)

M.Phil. in Computer Science

Master of Science (M.Sc.) in Computer Science

Bachelor of Science (B.Sc.)

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Multidisciplinary

FUTURE PROJECTS

Scopus Publications

Microbial dysbiosis in systemic lupus erythematosus: a scientometric study
Miaomiao Zhao, Xiaoting Wen, Ruiling Liu, Ke Xu
Frontiers in Microbiology, 2024
IntroductionSystemic lupus erythematosus (SLE) is a chronic autoimmune disease. Mounting evidence suggests microbiota dysbiosis augment autoimmune response. This study aims to provide a systematic overview of this research field in SLE through a bibliometric analysis.MethodsWe conducted a comprehensive search and retrieval of literature related to microbial researches in SLE from the Web of Science Core Collection (WOSCC) database. The retrieved articles were subjected to bibliometric analysis using VOSviewer and Bibliometricx to explore annual publication output, collaborative patterns, research hotspots, current research status, and emerging trends.ResultsIn this study, we conducted a comprehensive analysis of 218 research articles and 118 review articles. The quantity of publications rises annually, notably surging in 2015 and 2018. The United States and China emerged as the leading contributors in microbial research of SLE. Mashhad University of Medical Sciences had the highest publication outputs among the institutions. Frontiers in Immunology published the most papers. Luo XM and Margolles A were the most prolific and highly cited contributors among individual authors. Microbial research in SLE primarily focused on changes in microbial composition, particularly gut microbiota, as well as the mechanisms and practical applications in SLE. Recent trends emphasize “metabolites,” “metabolomics,” “fatty acids,” “T cells,” “lactobacillus,” and “dietary supplementation,” indicating a growing emphasis on microbial metabolism and interventions in SLE.ConclusionThis study provides a thorough analysis of the research landscape concerning microbiota in SLE. The microbial research in SLE mainly focused on three aspects: microbial dysbiosis, mechanism studies and translational studies (microbiota-based therapeutics). It identifies current research trends and focal points, offering valuable guidance for scholars in the field.
Immune podocytes in the immune microenvironment of lupus nephritis (Review)
Ruiling Liu, Xiaoting Wen, Xinyue Peng, Miaomiao Zhao, Liangyu Mi, et al.
Molecular Medicine Reports, 2023
Identification of Anti-SNRPA as a Novel Serological Biomarker for Systemic Sclerosis Diagnosis
Chenxi Liu, Guang Song, Songxin Yan, Yangzhige He, Chaojun Hu, et al.
Journal of Proteome Research, 2023
Using secukinumab in a patient with endplate inflammation complicated by hepatitis B virus infection
Rui-Hong Hou, Xiao-Ting Wen, Qian Wang, Li Wang
Chinese Medical Journal, 2021
Hydroxychloroquine prophylaxis for preeclampsia, hypertension and prematurity in pregnant patients with systemic lupus erythematosus: A meta-analysis
Jiaoniu Duan, Dan Ma, Xiaoting Wen, Qianyu Guo, Jinfang Gao, et al.
Lupus, 2021
Objectives This meta-analysis aimed to evaluate the effectiveness of HCQ in improving the maternal and fetal outcomes in pregnancies with SLE. Methods A literature search was conducted using PubMed, MEDLINE, EMBASE, and the Cochrane database for relevant English language articles, and Wanfang, CNKI and VIP for Chinese articles, from the databases’ inception to April 30, 2020. These studies compared the maternal and/or fetal outcomes between pregnant patients with SLE who were administered HCQ during pregnancy (HCQ+ group) and those who were not administered HCQ (HCQ− group). Two investigators extracted the data and assessed the quality using the Newcastle-Ottawa Scale (NOS) and GRADE criteria independently. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated. All statistical analyses were conducted using the Stata 12.0 software. Results Nine studies involving 1132 pregnancies were included in the study (3 case controls, 2 prospective cohorts, 4 retrospective cohorts). Preeclampsia, gestational hypertension, and prematurity were significantly lower in the HCQ+ group than in the HCQ− group (OR 0.35, 95% CI 0.21–0.59), (OR 0.41, 95% CI 0.19–0.89) and (OR 0.55, 95% CI 0.36–0.86), respectively. There were no significant differences in the rates of HELLP Syndrome (OR 0.88, 95% CI 0.19–3.96), gestational diabetes (OR 2.3, 95% CI 0.44–12.12), thrombotic events (OR 0.26, 95% CI 0.05–1.51), spontaneous abortion (OR 1.77, 95% CI 0.96–3.26), premature rupture of membranes (OR 0.58, 95% CI 0.24–1.39), oligohydramnios (OR 0.90, 95% CI 0.38–2.14), live birth (OR 1.22, 95% CI 0.60–2.47), stillbirth (OR 1.00, 95% CI 0.50–2.00), congenital malformation (OR 0.53, 95% CI 0.14–2.04), low birth weight (OR 0.77, 95% CI 0.43–1.39), intrauterine distress (OR 1.07, 95% CI 0.41–2.76,), intrauterine growth restriction (OR 0.57, 95% CI 0.06–5.43), or five-minute APGAR score <7 (OR 0.72, 95% CI 0.20–2.58) between the two groups. Conclusions HCQ treatment during pregnancy could reduce the risk of preeclampsia, pregnancy hypertension and prematurity in SLE patients. The certainty of evidence is high but majority of the studies included are retrospective studies and not randomized controlled trials. Therefore, the multidisciplinary management of pregnant patients with SLE should promote HCQ use, irrespective of disease activity or severity.
Pentraxin 3 is more accurate than C-reactive protein for Takayasu arteritis activity assessment: A systematic review and meta-analysis
Xiaoting Wen, Ruihong Hou, Ke Xu, Yunxia Han, Junping Hu, et al.
Plos One, 2021
Aims Whether the circulating levels of pentraxin 3 (PTX3), an acute phase reactant (APR), are higher in active Takayasu arteritis (TAK), and if so, whether PTX3 is more accurate than C-reactive protein (CRP) in TAK activity assessment has been investigated in this study. Study design Research works such as PubMed, Embase, ScienceDirect, Cochrane Library, and two Chinese literature databases (CNKI and WanFang) were searched for studies conducted till August 30th, 2019. Two investigators searched the studies independently, who evaluated the quality of the study using the Newcastle–Ottawa scale (NOS) and extracted data. Pooled standard mean difference (SMD) and diagnostic indexes, with a 95% confidence interval (CI), were calculated using a random-effect model. Results Totally, 8 studies involving 473 TAK (208 active and 265 inactive TAK) patients and 252 healthy controls were eventually included in the meta-analysis. PTX3 level in the blood in active TAK patients were found to be higher than that in dormant TAK with pooled SMD of 0.761 (95% CI = 0.38–1.14, p<0.0001; I2 = 68%, p of Q test = 0.003). And there was no publication bias. Among the 8 studies, 5 studies identified active TAK with both PTX3 and CRP. The pooled sensitivity, specificity, and AUC values of PTX3 in active TAK diagnosis were higher than those of CRP (0.78 [95% CI = 0.65–0.87] vs. 0.66 [95% CI = 0.53–0.77], p = 0.012; 0.85 [95% CI = 0.77–0.90] vs. 0.77 [95% CI = 0.56–0.90], p = 0.033; 0.88 [95% CI = 0.85–0.90] vs. 0.75 [95% CI = 0.71–0.79], p < 0.0001). It showed potential publication bias using Egger’s test (p of PTX3 = 0.031 and p of CRP = 0.047). Conclusions PTX3 might be better than CRP in the assessment of TAK activity. Yet, it should be cautious before clinical use for moderate heterogeneity and potential publication bias of the meta-analysis.
Identification of novel serological autoantibodies in takayasu arteritis patients using huprot arrays
Xiaoting Wen, Guang Song, Chaojun Hu, Jianbo Pan, Ziyan Wu, et al.
Molecular and Cellular Proteomics, 2021
Analysis of myositis autoantibodies in Chinese patients with cancer-associated myositis
Liubing Li, Chenxi Liu, Qian Wang, Chanyuan Wu, Yanfang Zhang, et al.
Journal of Clinical Laboratory Analysis, 2020
Background Cancer‐associated myositis (CAM) has poor prognosis and causes higher mortality. In general, myositis‐specific autoantibodies (MSAs) and myositis‐associated autoantibodies (MAAs) have been shown to be useful biomarkers for its diagnosis. Methods In the present study, focus was given in assessing the presence, prevalence, and diagnostic values of myositis autoantibodies in Chinese patients diagnosed with CAM. The sera collected from 49 CAM patients, 108 dermatomyositis/polymyositis (DM/PM) patients without cancer, 105 disease controls, and 60 healthy controls were detected for the presence of 16 autoantigens (Jo‐1, OJ, EJ, PL‐7, PL‐12, MDA5, TIF1γ, Mi‐2α, Mi‐2β, SAE1, NXP2, SRP, Ku, PM‐Scl75, PM‐Scl100, and Ro‐52) using a commercial Euroline assay. Results The frequency of anti‐TIF1γ was significantly higher in CAM patients than in DM/PM patients without cancer (46.9% vs 14.8%, P < .001). Importantly, the sensitivity and specificity for this MSA were 46.9% and 85.2%, respectively. These helped to differentiate CAM patients from DM/PM patients without cancer. However, there was no difference in other MSAs and MAAs between CAM and DM/PM patients without cancer. Conclusion The present study indicates that anti‐TIF1γ levels can serve as important biomarkers for CAM diagnosis and help in distinguishing between CAM and DM/PM patients without cancer.
NAF1 rs4691896 is significantly associated with coal workers' pneumoconiosis in a chinese han population: A case-control study
Baojun Yuan, Xiaoting Wen, Liubing Li, Yongzhe Li, Chao Li, et al.
Medical Science Monitor, 2020
Evaluation of a commercial immunoassay for autoantibodies in Chinese Han systemic sclerosis population
Chenxi Liu, Yong Hou, Yajun Yang, Dong Xu, Liubing Li, et al.
Clinica Chimica Acta, 2019
Association between the BANK1 rs3733197 polymorphism and polymyositis/dermatomyositis in a Chinese Han population
Si Chen, Xiaoting Wen, Qian Wang, Jing Li, Yuan Li, et al.
Clinical Rheumatology, 2019
Association of single nucleotide polymorphisms in the CYBA gene with coal workers’ pneumoconiosis in the Han Chinese population
Baojun Yuan, Wei Yuan, Xiaoting Wen, Chao Li, Lichang Gao, et al.
Inhalation Toxicology, 2018
Association between genetic variants in the human leukocyte antigen-B/MICA and Takayasu arteritis in Chinese Han population
Xiaoting Wen, Si Chen, Jing Li, Yuan Li, Liubing Li, et al.
International Journal of Rheumatic Diseases, 2018
Single nucleotide polymorphisms in the ETS1 gene are associated with idiopathic inflammatory myopathies in a northern Chinese Han population
Si Chen, Xiaoting Wen, Liubing Li, Jing Li, Yuan Li, et al.
Scientific Reports, 2017
Adult reference intervals for IgG subclasses with Siemens immunonephelometric assays in Chinese population
Ping Li, Zhongjuan Liu, Ziyan Wu, Xiaoting Wen, Liubing Li, et al.
Allergy Asthma and Clinical Immunology, 2017
Upregulation of CD16− monocyte subsets in systemic lupus erythematous patients
Ziyan Wu, Shulan Zhang, Lidan Zhao, Yunyun Fei, Li Wang, et al.
Clinical Rheumatology, 2017
Risk alleles for IgA nephropathy-associated SNPs conferred completely opposite effects to idiopathic membranous nephropathy in Chinese Han
Xiaosong Qin, Chen Wang, Guanting Lu, Mengle Peng, Guixue Cheng, et al.
Immunologic Research, 2017
GLIS3 and TYK2 Single Nucleotide Polymorphisms Are Not Associated with Dermatomyositis/Polymyositis in Chinese Han Population
Liubing Li, Si Chen, Qian Wang, Chanyuan Wu, Xiaoting Wen, et al.
Genetic Testing and Molecular Biomarkers, 2017
Peripheral differentials by Cytodiff flow cytometric system predict disease activity in Chinese patients with inflammatory bowel disease
Shulan Zhang, Ziyan Wu, Ji Li, Xiaoting Wen, Liubing Li, et al.
Clinica Chimica Acta, 2017
Single nucleotide polymorphisms of IL12B are associated with Takayasu arteritis in Chinese Han population
Xiaoting Wen, Si Chen, Ping Li, Jing Li, Ziyan Wu, et al.
Rheumatology International, 2017
Clinical performance of antibodies to prothrombin and thrombin in Chinese patients with antiphospholipid syndrome: potential interest in discriminating patients with thrombotic events and non-thrombotic events
Shulan Zhang, Ziyan Wu, Jing Li, Ping Li, Si Chen, et al.
Rheumatology International, 2017
Evaluation of the clinical relevance of anti-annexin-A5 antibodies in Chinese patients with antiphospholipid syndrome
Shulan Zhang, Ziyan Wu, Jing Li, Xiaoting Wen, Liubing Li, et al.
Clinical Rheumatology, 2017
Identification of novel biomarkers for behcet disease diagnosis using human proteome microarray approach
Chao-Jun Hu, Jian-Bo Pan, Guang Song, Xiao-Ting Wen, Zi-Yan Wu, et al.
Molecular and Cellular Proteomics, 2017
Anti-MDA5 antibody as a potential diagnostic and prognostic biomarker in patients with dermatomyositis
Liubing Li, Qian Wang, Funing Yang, Chanyuan Wu, Si Chen, et al.
Oncotarget, 2017
Assessment of anti-MDA5 antibody as a diagnostic biomarker in patients with dermatomyositis-associated interstitial lung disease or rapidly progressive interstitial lung disease
Liubing Li, Qian Wang, Xiaoting Wen, Chenxi Liu, Chanyuan Wu, et al.
Oncotarget, 2017
Positive association between ankrd55 polymorphism 7731626 and dermatomyositis/polymyositis with interstitial lung disease in Chinese han population
Liubing Li, Si Chen, Xiaoting Wen, Qian Wang, Guanting Lv, et al.
Biomed Research International, 2017
Association of FCGR2A/FCGR3A variant rs2099684 with Takayasu arteritis in the Han Chinese population
Si Chen, Xiaoting Wen, Jing Li, Yuan Li, Liubing Li, et al.
Oncotarget, 2017
Association study of a proliferation-inducing ligand, spermatogenesis associated 8, platelet-derived growth factor receptor-alpha, and POLB polymorphisms with systemic lupus erythematosus in Chinese han population
Ping Li, Yuan Li, Ai-Hong Zhou, Si Chen, Jing Li, et al.
Chinese Medical Journal, 2016
Association of MCP-1-2518A/G polymorphism with susceptibility to autoimmune diseases: a meta-analysis
Si Chen, Chuiwen Deng, Chaojun Hu, Jing Li, Xiaoting Wen, et al.
Clinical Rheumatology, 2016
Evaluation of the diagnostic potential of antibodies to beta2-glycoprotein 1 domain 1 in Chinese patients with antiphospholipid syndrome
Shulan Zhang, Ziyan Wu, Si Chen, Jing Li, Xiaoting Wen, et al.
Scientific Reports, 2016
A rare nonsynonymous variant in the lipid metabolic gene HELZ2 related to primary biliary cirrhosis in Chinese Han
Ping Li, Guanting Lu, Li Wang, Ying Cui, Ziyan Wu, et al.
Allergy Asthma and Clinical Immunology, 2016
Single-nucleotide polymorphisms in the PLA2R1 gene are associated with systemic lupus erythematosus and lupus nephritis in a Chinese Han population
Yuan Li, Aihong Zhou, Guanting Lv, Ping Li, Si Chen, et al.
Immunologic Research, 2016
Association of IL12A expression quantitative trait loci (eQTL) with primary biliary cirrhosis in a Chinese Han population
Ping Li, Guanting Lu, Ying Cui, Ziyan Wu, Si Chen, et al.
Medicine United States, 2016
The associations between PD-1, CTLA-4 gene polymorphisms and susceptibility to ankylosing spondylitis: a meta-analysis and systemic review
Si Chen, Yuan Li, Chuiwen Deng, Jing Li, Xiaoting Wen, et al.
Rheumatology International, 2016
Association between MEFV mutations M694V and M680I and Behçet's disease: A meta-analysis
Ziyan Wu, Shulan Zhang, Jing Li, Si Chen, Ping Li, et al.
Plos One, 2015
Histopathological diagnostic value of the IgG4 +/IgG + ratio of plasmacytic infiltration for IgG4-related diseases
Chuiwen Deng, Wenli Li, Si Chen, Wen Zhang, Jing Li, et al.
Medicine United States, 2015
Meta-analysis of anti-muscarinic receptor type 3 antibodies for the diagnosis of Sjögren syndrome
Chuiwen Deng, Chaojun Hu, Si Chen, Jing Li, Xiaoting Wen, et al.
Plos One, 2015

RECENT SCHOLAR PUBLICATIONS

Analysis of Rice Ageing Process Using Fuzzy and Graph Cut
B Nigam, A Sharma, B Basavaprasad, M Niranjanamurthy
Journal of Computational and Theoretical Nanoscience 17 (9-10), 4394-4397 , 2020
2020
Technology in Indian Agriculture - A Review
BB R S Upendra, I M Umesh, R B Ravi Varma
Indonesian Journal of Electrical Engineering and Computer Science 20 (3) , 2020
2020
Citations: 37
Integrated College Management System (ICMS): A Friendly and Easy Approach
B B
International Journal of Research and Analytical Reviews (IJRAR) , 2020
2020
NAAC MADE EASY: A Simple and Easy Preparation
B B
International Journal of Emerging Technologies and Innovative Research , 2020
2020
Technology in Indian Agriculture – A Review
B B
Indonesian Journal of Electrical engineering and Computer Science , 2020
2020
A Hybrid Technique of Image Segmentation using Enhanced Graph Based Mechanism
B B
Science, Technology and Development Journal , 2020
2020
Improved Bat Algorithm using Super-Region Volume Segmentation for Medical Images
BB Bhawna Nigam, Ramakrishnan M R
International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
2019
Enhanced bat algorithm with super-region volume segmentation workbench for Markov random field images
B Basavaprasad, RS Hegadi
Journal of Computational and Theoretical Nanoscience 15 (5), 1434-1440 , 2018
2018
Citations: 1
Graph theory and its application to image segmentation
B Basavaprasad, RS Hegadi
2017 International Conference on Energy, Communication, Data Analytics and … , 2017
2017
Citations: 7
A Comparative Analysis of Graph Based Techniques with Hybrid Method for Image Segementation
RSH Basavaprasad B
Journal of Advanced Research in Dynamical & Control Systems, 135-142 , 2017
2017
Image Segmentation using MSNCut Algorithm
B Basavaprasad
International Journal of Computer Applications 162 (3), 27-30 , 2017
2017
Citations: 2
Year of Publication: 2017
B Basavaprasad, RS Hegadi
2017
A comparative study on segmentation methods for medical imaging
M Ravi, B Basavaprasad
Proceeding of NCRIET & Indian J. Sci. Res 12 (1), 302-306 , 2015
2015
Citations: 2
Recognition of printed Kannada numerals by nearest neighbor method
S Shettar, B Basavaprasad, HK Bhagya
Proceedings of the International Conference on Computational Systems for … , 2015
2015
Citations: 3
Color image segmentation using adaptive Growcut method
B Basavaprasad, RS Hegadi
Procedia Computer Science 45, 328-335 , 2015
2015
Citations: 15
Enhanced Color Image Segmentation by Graph Cut Method in General and Medical Images
B Basavaprasad, M Ravi
Advancements of Medical Electronics, 75-84 , 2015
2015
Citations: 3
A study on the importance of image processing and its applications
B Basavaprasad, M Ravi
IJRET: International Journal of Research in Engineering and Technology 3 (1) , 2014
2014
Citations: 82
A comparative study on classification of image segmentation methods with a focus on graph based techniques
B Basavaprasad, M Ravi
IJRET: International Journal of Research in Engineering and Technology 3 , 2014
2014
Citations: 36
A graph theoretical network model on human heart
B Basavaprasad, RS Hegadi
International Journal of Applied Engineering Research 9 (20), 4549-4553 , 2014
2014
Citations: 4
An Improved GrabCut Technique for segmentation of Color Images
B Basavaprasad, RS Hegadi
Recent Advances in Information Technology, an International Journal of … , 2014
2014
Citations: 9

MOST CITED SCHOLAR PUBLICATIONS

A study on the importance of image processing and its applications
B Basavaprasad, M Ravi
IJRET: International Journal of Research in Engineering and Technology 3 (1) , 2014
2014
Citations: 82
A Survey on Traditional and Graph Theoretical Techniques for Image Segmentation‖
B Basavaprasad, SH Ravindra
Recent Advances in Information Technology, International Journal of Computer … , 2014
2014
Citations: 44
Technology in Indian Agriculture - A Review
BB R S Upendra, I M Umesh, R B Ravi Varma
Indonesian Journal of Electrical Engineering and Computer Science 20 (3) , 2020
2020
Citations: 37
A comparative study on classification of image segmentation methods with a focus on graph based techniques
B Basavaprasad, M Ravi
IJRET: International Journal of Research in Engineering and Technology 3 , 2014
2014
Citations: 36
Graph theoretical approaches for image segmentation
B Basavaprasad, RS Hegadi
Avishkar-Solapur University Research Journal 2, 7-13 , 2012
2012
Citations: 20
Color image segmentation using adaptive Growcut method
B Basavaprasad, RS Hegadi
Procedia Computer Science 45, 328-335 , 2015
2015
Citations: 15
An Improved GrabCut Technique for segmentation of Color Images
B Basavaprasad, RS Hegadi
Recent Advances in Information Technology, an International Journal of … , 2014
2014
Citations: 9
Graph theory and its application to image segmentation
B Basavaprasad, RS Hegadi
2017 International Conference on Energy, Communication, Data Analytics and … , 2017
2017
Citations: 7
A graph theoretical network model on human heart
B Basavaprasad, RS Hegadi
International Journal of Applied Engineering Research 9 (20), 4549-4553 , 2014
2014
Citations: 4
Recognition of printed Kannada numerals by nearest neighbor method
S Shettar, B Basavaprasad, HK Bhagya
Proceedings of the International Conference on Computational Systems for … , 2015
2015
Citations: 3
Enhanced Color Image Segmentation by Graph Cut Method in General and Medical Images
B Basavaprasad, M Ravi
Advancements of Medical Electronics, 75-84 , 2015
2015
Citations: 3
Image Segmentation using MSNCut Algorithm
B Basavaprasad
International Journal of Computer Applications 162 (3), 27-30 , 2017
2017
Citations: 2
A comparative study on segmentation methods for medical imaging
M Ravi, B Basavaprasad
Proceeding of NCRIET & Indian J. Sci. Res 12 (1), 302-306 , 2015
2015
Citations: 2
Enhanced bat algorithm with super-region volume segmentation workbench for Markov random field images
B Basavaprasad, RS Hegadi
Journal of Computational and Theoretical Nanoscience 15 (5), 1434-1440 , 2018
2018
Citations: 1
Analysis of Rice Ageing Process Using Fuzzy and Graph Cut
B Nigam, A Sharma, B Basavaprasad, M Niranjanamurthy
Journal of Computational and Theoretical Nanoscience 17 (9-10), 4394-4397 , 2020
2020
Integrated College Management System (ICMS): A Friendly and Easy Approach
B B
International Journal of Research and Analytical Reviews (IJRAR) , 2020
2020
NAAC MADE EASY: A Simple and Easy Preparation
B B
International Journal of Emerging Technologies and Innovative Research , 2020
2020
Technology in Indian Agriculture – A Review
B B
Indonesian Journal of Electrical engineering and Computer Science , 2020
2020
A Hybrid Technique of Image Segmentation using Enhanced Graph Based Mechanism
B B
Science, Technology and Development Journal , 2020
2020
Improved Bat Algorithm using Super-Region Volume Segmentation for Medical Images
BB Bhawna Nigam, Ramakrishnan M R
International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
2019

Publications

I. Quantitative Metrics (Overview)

Total National/International Publications: ~40+

Scopus Indexed Publications: 8+

Total Citations: 250+ (Google Scholar)

h-index: 7 (Google Scholar) | 3 (Scopus)

i10-index: 6

Books Published: 1 (DSC 3D Design and Analysis of Algorithms)

II. Key Journal & Conference Publications

Dr. Basavaprasad’s research primarily investigates Graph-Theoretical Approaches for complex image segmentation and network modeling.

Major Research Areas & Selected Papers

Digital Image Processing & Graph Theory

“A Survey on Traditional and Graph Theoretical Techniques for Image Segmentation” – International Journal of Computer Applications.

“Color image segmentation using adaptive GrowCut method” – Procedia Computer Science (Elsevier).

“Image Segmentation using MSNCut Algorithm” – International Journal of Computer Applications.

Bio-Medical Image Analysis

... (Previous entries maintained) ...

Agriculture & Emerging Tech

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

One software for government, two patents ,one product under development

CONSULTANCY

He provides expert consultancy in Technical Advisory (E-Governance), Digital Transformation (NEP 2020), and Agri-Tech Strategy for local farming cooperatives.

Industry, Institute, or Organisation Collaboration

Dr. Basavaprasad B bridges academia, government, and global sustainability organizations through several high-impact leadership roles:

Government & Academic Coordination: RUSA Coordinator and EBSB District Coordinator.

Global Sustainability: Green Earth Indian Ambassador for Sustainable Cosmos (UN-affiliated).

Institutional Partnerships: UAS Raichur & RTPS collaboration for industrial exposure.

Digital Governance Architect: Designer of the RichRaichur and JaNoNi platforms.

INDUSTRY EXPERIENCE

collaborative experience of 5 years

STARTUP

Social: Empowering citizens through the JaNoNi platform for transparent grievance redressal and promoting environmental conservation via Green Earth paperless workflows. His startup initiative ensures that digital services reach the last mile, reducing rural-urban inequality.

Economic: Driving regional prosperity by linking local IT Hubs with industry and improving agricultural yields through tech-driven crop analysis. The startup framework creates local employment and reduces "brain drain" from the Raichur district.

Academic: Facilitating the transition to NEP 2020 frameworks and providing a theoretical foundation in Graph Theory for future medical and computational researchers. It provides a real-world "Living Lab" for students to practice software development and data science.

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

Social: Empowering citizens through the JaNoNi platform for transparent grievance redressal and promoting environmental conservation via Green Earth paperless workflows. His startup initiative ensures that digital services reach the last mile, reducing rural-urban inequality.

Economic: Driving regional prosperity by linking local IT Hubs with industry and improving agricultural yields through tech-driven crop analysis. The startup framework creates local employment and reduces "brain drain" from the Raichur district.

Academic: Facilitating the transition to NEP 2020 frameworks and providing a theoretical foundation in Graph Theory for future medical and computational researchers. It provides a real-world "Living Lab" for students to practice software development and data science.