Journals

1. Malakar, P., Anshuman, A., Kumar, M., Nagaraj Bhat, Boumis, G., Clement, T. P., Tashie, A.,& Rathore, L. (2024). An in-situ daily dataset for benchmarking temporal variability of groundwater recharge. Earth System Science Data Discussions, 2024, 1-19. DOI: https://doi.org/10.5194/essd-17-1515-2025
2. Ghaseminejad, A., Bhat, N., Raghav, P. and Kumar, M., 2025. Influence of Interannual Leaf Phenology Dynamics on Evapotranspiration Predictions. Journal of Hydrometeorology, 26(2), pp.259-272. DOI: https://doi.org/10.1175/JHM-D-24-0061.1
3. Gajanan Anne, Nagaraj Bhat, Vishwanatha H M, Ramesh S, Maruthi Prashanth B H, Priyaranjan Sharma, Aditya Kudva S, C Jagadeesh and Yashwanth Nanjappa (2024). Effect of addition of Ce and accumulative roll bonding on structure-property of the Mg-Ce-Al hybrid composite and its prediction and comparison using artificial neural network (ANN) approach. Materials Research Express, Volume 11, Number 9. DOI 10.1088/2053-1591/ad7449
4. Gajanan Anne, Ramesh S, Priyaranjan Sharma, Maruthi Prashanth B H, Aditya Kudva S, Prakash Kumar, Sandeep Sahu and Nagaraj Bhat (2024). Enhancing wear resistance of AZ61 alloy through friction stir processing: experimental study and prediction model. Materials Research Express, Volume 11, Number 5. DOI 10.1088/2053-1591/ad4e0a
5. G. S. Hukkeri, S. R. Naganna, D. Pruthviraja, N. Bhat and R. H. Goudar (2023).”Drought Forecasting: Application of Ensemble and Advanced Machine Learning Approaches,” in IEEE Access, vol. 11, pp. 141375-141393, 2023, doi: 10.1109/ACCESS.2023.3341587.
6. Chowdari, K., Deb Barma, S., Bhat, N. (2023). Trends of seasonal and annual rainfall of semi-arid districts of Karnataka, India: application of innovative trend analysis approach. Theor Appl Climatol 152, 241–264 (2023). https://doi.org/10.1007/s00704-023-04400-9
7. Surajit Deb Barma, Sameer Balaji Uttarwar, Prathamesh Barane, Nagaraj Bhat, Amai Mahesha (2022). Evaluation of ERA5 and IMERG Precipitation Data for Risk Assessment of Water Cycle Variables of a Large River Basin in South Asia Using Satellite Data and Archimedean Copulas. Water Conservation & Management, 6(1): 61-69. ISSN: 2523-5664 (Print) ISSN: 2523-5672 (Online) CODEN: WCMABD. DOI: http://doi.org/10.26480/wcm.01.2022.61.69.
8. S. Ramesh, Gajanan Anne, Nagaraj Bhat, Ganesh Aithal, H. Shivananda Nayaka, Shashibhushan Arya (2021) Surface modification of multi-directional forged biodegradable Mg-Zn alloy by ball burnishing process: Modeling and analysis using deep neural network, Journal of Manufacturing Processes, Volume 68, Part A, 2021, Pages 423-434, ISSN 1526-6125, DOI: https://doi.org/10.1016/j.jmapro.2021.05.049.
9. Gouda, K.C., Joshi, S. & Nagaraj Bhat (2021) An optimum initial manifold for improved skill and lead in long-range forecasting of monsoon variability. Theor Appl Climatol, vol. 144, no. 3-4, May 2021, pp. 1161. DOI: https://link.springer.com/article/10.1007/s00704-021-03589-x
10. Meghana H Prabhu, K Sridevi Rao, Navya Nagaraj Vidyavathi Poojary ,Nikhitha J, Nagaraj Bhat, Ramya D Shetty (2019). Air Pollution Monitoring and Prediction System, International Journal of Recent Technology and Engineering (IJRTE)ISSN: 2277-3878, Volume-8, Issue-2S3, July 2019. DOI: DOI : 10.35940/ijrte.B1119.0782S319
11. Nithesh Shettigar, Goutham Naik, Nandan Nayak, Nithin H A, K C Gouda and Nagaraj Bhat (2019), Deep Learning Techniques Using Data Science, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-2S3, July 2019. DOI : 10.35940/ijrte.B1117.0782S319
12. Nagaraj Bhat, Ramy D Shetty, Krushna Chandra Gouda(2017) An efficient algorithm for Conversion of Spatiotemporal Big Data, International Journal of Innovative Research in Computer and Communication Engineering, Volume 5, Issue 2, February 2017, ISSN(Online): 2320-9801, ISSN (Print): 2320-9798. DOI:10.15680/IJIRCCE.2017. 0502154 
13. Sharath Kumar, Reshma Hebbar,Nagaraj Bhat(2017) Survey of Defense Mechanism to Mitigate Distributed Denial of service (DDoS) Flooding Attacks, International Journal Of Informative & Futuristic Research, Volume-4, Issue-7, ISSN 2347-1697 ,Mar-2017.
14. C Karthik Kumar, Abhishek Kalkur U, K Sanketh, Deekshitha S Palan, Nagaraj Bhat (2017) Advanced Decision Supporting System for Student Placement Recruitment Process, International Journal of Informative & Futuristic Research, IJIFR/V4/ E8/ 056 , ISSN: 2347-1697, 7121-7128.
15. Nagaraj Bhat, Pratheek Hegde, Shetty Neha Karunakaran, Shreya, Shreecharana U, K C Gouda (2016), Development of Integrated Message alert system for Weather Informatics, International Journal of Advanced Research in Computer and Communication Engineering , Vol. 5, Issue 6, ISSN: 2278-1021,June 2016 .
16. Ramya D Shetty, Chandra Naik, Krushna Chandra Gouda, Nagaraj Bhat (2016) Development Of An Algorithm To Data Retrieval And Data Conversion For The Analysis Of Spatiotemporal Data, International Journal Of Informative & Futuristic Research, Volume-3, Issue-9,ISSN 3269-3275, May-2016.
17. Nagaraj Bhat, Sachin Bhat, Manumohan, K C Gouda, Jayaram CV, Pixel Based Volume Estimation of Water bodies Using Remote Sensing and GIS (2014) International Journal of Electronics and Communication Technology (IJECT) IJECT Vol. 5, Issue 4, ISSN: 2230-7109
18. K C Gouda , Chowdari K K , Nagaraj Bhat , S N Chandrashekar (2014) Development of a Visualization System for Climate Data Analysis, International Journal of Engineering Trends and Technology (IJETT), Vol 13, number 4, ISSN: 2231-5381.
19. K C Gouda , Anurag Patro , Dines Dwivedi , Nagaraj Bhat (2014) Virtualization Approaches in Cloud Computing, International Journal of Computer Trends and Technology (IJCTT), Vol 12, number 4, ISSN: 2231-2803.
20. K C Gouda , Dines Dwivedi , Anurag Patro , Nagaraj Bhat (2014) Migration Management in Cloud Computing, International Journal of Engineering Trends and Technology (IJETT), Vol 12, number 8, ISSN: 2231-5381.
21. K C Gouda, Nagaraj Bhat  and Deepan S (2013) Artificial Intelligence of the Web through Domain Ontologies,  International Journal of Science and Research (IJSR), Vol 2, issue 8, ISSN: 2319-7064,141-144pp.
22. K C Gouda, Deepan S and Nagaraj Bhat (2013) Semantic Web Analysis, International Journal Of Advanced And Innovative Research, ISSN;2278-7844,Vol 2,Issue ,41378-1383pp.

    Book Chapters

1. Bhat, S.S., Ananth, A., Nambiar, R., Bhat, Nagaraj. (2022). Building Dataset and Deep Learning-Based Inception Model for the Character Classification of Tigalari Script. In: Shetty D., P., Shetty, S. (eds) Recent Advances in Artificial Intelligence and Data Engineering. Advances in Intelligent Systems and Computing, vol 1386. Springer, Singapore. https://doi.org/10.1007/978-981-16-3342-3_20.
2. Anjana, Aishwarya Kedlaya K, Aysha Sana, B Apoorva Bhat, Sharath Kumar, Nagaraj Bhat (2021) An efficient algorithm for predicting crop using historical data and pattern matching technique, Global Transitions Proceedings, Volume 2, Issue 2, 2021, Pages 294-298, ISSN 2666-285X, https://doi.org/10.1016/j.gltp.2021.08.060.

- Dr. NAGARAJ BHAT

1. Bhat, S. J., & Venkata, S. K. (2020). An optimization based localization with area minimization for heterogeneous wireless sensor networks in anisotropic fields. Computer Networks, 179, 107371, 10.1016/j.comnet.2020.107371. Elsevier.
2. Bhat, S. J., & Santhosh, K. V. (2021). A Method for Fault Tolerant Localization of Heterogeneous Wireless Sensor Networks. IEEE Access, 9, 37054-37063, 10.1109/ACCESS.2021.3063160. IEEE.
3. Bhat, S. J., & Santhosh, K. V. (2020). Is Localization of Wireless Sensor Networks in Irregular Fields a Challenge? Wireless Personal Communications, 114, 2017-2042, 10.1007/s11277-020-07460-6. Springer.
4. Bhat, S. J., & Santhosh, K. V. (2021). Localization of isotropic and anisotropic wireless sensor networks in 2D and 3D fields. Telecommunication Systems, 1-13, Springer
5. Anirudh Ameya Kashyap, Shravan Raviraj, Ananya Devarakonda, Shamanth R Nayak K, Santhosh K V, Bhat, S. J., (2021). Traffic flow prediction Models- A review of deep learning techniques. Cogent Engineering, Taylor & Francis
6. Bhat, S. J., & KV, S. (2022). A localization and deployment model for wireless sensor networks using arithmetic optimization algorithm. Peer-to-Peer Networking and Applications, 1-13, Springer .
7. Bhat, S. J., & Santhosh, K. V. (2022). An artificial hummingbird algorithm based
   localization with reduced number of reference nodes for wireless sensor networks. Physical
   Communication, 55, 101921.
8. LR, R., Bhat, S. J., & KV, S. (2024). Prospective study on challenges faced in a perception system. Cogent Engineering, 11(1), 2353498.
9. Bhat, S. J., & Venkata, S. K. (2024). An improved DVHop localization algorithm using a novel angle based node reduction and optimization technique. Discover Applied Sciences, 6(8), 437.
10. Bhat, S. J., & Venkata, S. K. (2025). Addressing Real-World Localization Challenges in Wireless Sensor Networks: A Study of Swarm-Based Optimization Techniques. Automation, 6(3), 40.

- Dr. SOUMYA J. BHAT

1. Dr Sadananda Lingayya, et al. “Dynamic task offloading for resource allocation and privacy-preserving framework in Kubeedge-based edge computing using machine learning.” Cluster Computing (April 2024): 1-17.
2. Dr Sadananda L, Martis, J. E., Sannidhan, M. S., Pratheeksha Hegde, N (July 2024). Precision sketching with de-aging networks in forensics. Frontiers in Signal Processing, volume – 4, 1355573.
3. Sadananda L, & Dr. Bolwar Aziz Musthafa, International Journal of Advanced Science and Technology (IJAST), Vol.29, No. 9s, (2020), pp. 5298-5307 entitled “SVM based Approach for Detecting Malware in Android using Machine Learning”
4. Sadananda L, & Dr. Bolwar Aziz Musthafa, Journals of Emerging Technologies and Innovative Research (JETIR) May 2019, volume 6, Issue 5 UGC journal 2019, presented and published the paper in National Conference entitled as “Review on Analysis of Different Malware types in Android System”.
5. Published paper titled “Speech converter using Cue symbol for hearing impards”, along with my students, in International Journal of Modern Trends in Engineering and Reserch(IJMTER), ISSN(online): 2349-9745.
6. Published paper titled “Gas Leakage detection and prediction using IOT” in International journal of Engineering Science and Computing (IJESC), Volume 9, Issue 4, April 2019.
7. Published paper titled “Advanced labour finding web and android application”, along with my students, in International Research journal of Engineering and Technology (IRJET), Volume 6, Issue 4, April 2019.

- Dr. SADANANDA L

1. B Panjwani, J Yadav, P Kumar, B Panjwani, V Mohan. A novel cascade control of PEMFC: Regulation of stack voltage and air breathing subsystem. International Journal of Hydrogen Energy 102, 1530-1545 (2025)
2. B Panjwani, J Yadav, V Mohan, N Agarwal, S Agarwal. Optimized Machine Learning for the Early Detection of Polycystic Ovary Syndrome in Women. Sensors 25 (4), 1166 (2025)
3. M Rani, J Yadav, N Rathee, B Panjwani. Optifusion: advancing visual intelligence in medical imaging through optimized CNN-TQWT fusion. The Visual Computer 40 (10), 7075-7092 (2024)
4. Pachauri N, Panjwani B, T. Vigneysh, Mohan V. A cascaded NPID/PI scheme for the regulation of stack voltage in proton exchange membrane fuel cell. International Journal of Hydrogen Energy 48 (99), 39484-39496 (2023)
5. V Mohan, B Panjwani, H Chhabra, A Rani, V Singh. Self-regulatory fractional fuzzy control for dynamic systems: An analytical approach. International Journal of Fuzzy Systems 25 (2), 794-815 (2023)
6. Mohan V., Pachauri N., Panjwani B., Kamath D. V., A novel cascaded fractional fuzzy approach for control of fermentation process. Bioresource Technology, Volume 357 (2022)
7. Panjwani, B., Singh, V., Rani, A., Mohan V. Optimum multi-drug regime for compartment model of tumour: cell-cycle-specific dynamics in the presence of resistance. Journal of Pharmacokinetics and Pharmacodynamics 48, 543–562 (2021).
8. Panjwani, B., Mohan, V., Rani, A., & Singh, V. Optimal drug scheduling for cancer chemotherapy using two degree of freedom fractional order PID scheme. Journal of Intelligent & Fuzzy Systems, 36(3), 2273-2284 (2019).
9. Singh N and Panjwani B. Neural Network and Fuzzy Logic Control for Nonlinear Model of Two Links Rigid Manipulator. International Journal of Control and Automation, Vol.7, No.4, pp.417-428 (2014).
10. Panjwani B. and Mohan V. Comparative performance analysis of PID based NARMA-L2 and ANFIS control for continuous stirred tank reactor. International Journal of Soft Computing and Engineering (IJSCE), 3(5), pp.20-23 (2013).

- Dr. BHARTI PANJWANI

1. Kavatagi, Sanjana, and Rashmi Rachh.
   “HASTIKA: Hate Speech and Target Identification in Kannada-English Code-Mixed Text.”
   Language Resources and Evaluation (2025): 1–46.
2. Kavatagi, Sanjana, Rashmi Rachh, and Prakul Hiremath.
   “Shared Feature-Based Multitask Model for Faux-Hate Classification in Code-Mixed Text.”
   Proceedings of the 21st International Conference on Natural Language Processing (ICON): Shared Task on Decoding Fake Narratives in Spreading Hateful Stories (Faux-Hate). 2024.
3. Rachh, Rashmi, and Sanjana Kavatagi.
   “Study on Students’ Perceptions of Generative AI in Learning Programming Courses.”
   2024 3rd International Conference for Advancement in Technology (ICONAT). IEEE, 2024.
4. Rachh, Rashmi, Sanjana Kavatagi, and Shridhar Allagi.
   “Domain Specific Embeddings in RNN Frameworks for Hate Span Detection and Classification.”
   2023 4th International Conference on Intelligent Technologies (CONIT). IEEE, 2024.
5. Kavatagi, Sanjana M., Rashmi R. Rachh, and Shankar S. Biradar.
   “VTUBGM@ LT-EDI-2023: Hope Speech Identification Using Layered Differential Training of ULMFiT.”
   Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion. 2023.
6. Biradar, Shankar, Sunil Saumya, and Sanjana Kavatagi.
   “IIITDWD@ LT-EDI-2023 Unveiling Depression: Using Pre-trained Language Models for Harnessing Domain-Specific Features and Context Information.”
   Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion. 2023.
7. Rachh, Rashmi, and Sanjana Kavatagi.
   “Performance Evaluation of Various Embedding Techniques for Identification of Depressive Contents in Social Media.”
   2023 3rd Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2023.
8. Mulimani, Madhura, Rashmi Rachh, and Sanjana Kavatagi.
   “A Comparative Approach: Machine Learning and Adversarial Learning for Intrusion Detection.”
   Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2022.
   Singapore: Springer Nature Singapore, 2023.
9. Kavatagi, Sanjana, Rashmi Rachh, and Madhura Mulimani.
   “VTU_BGM at CheckThat! 2022: An Autoregressive Encoding Model for Detecting Check-Worthy Claims.” 2022.
10. Kavatagi, Sanjana, and Rashmi Rachh.
    “A Context Aware Embedding for the Detection of Hate Speech in Social Media Networks.”
    2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON). IEEE, 2021.
11. Kavatagi, Sanjana, and Vinayak Adimule.
    “Bi-GRU Model with Stacked Embedding for Sentiment Analysis: A Case Study.”
    Internet of Things, Artificial Intelligence and Blockchain Technology.
    Cham: Springer International Publishing, 2021. pp. 259–275.

- Ms. SANJANA KAVATAGI

Deb Barma, S., Mahesha, A. (2023). Discussion of “Innovative approaches to the trend assessment of streamflows in the Eastern Black Sea basin,Turkey”*. Hydrological Sciences Journal. 68, 731–732 (Taylor and Francis). (SCOPUS/SCIE indexed, Q1) https://doi.org/10.1080/02626667.2023.2185524

Van Thieu, N., Deb Barma, S., Van Lam, T., Kisi, O., Mahesha, A. (2023). Groundwater level modeling using Augmented Artificial Ecosystem Optimization. Journal of Hydrology. 617, 129034 (Elsevier). (SCOPUS/SCI indexed, Q1) https://doi.org/10.1016/j.jhydrol.2022.129034

Chowdari, K., Deb Barma, S., Bhat, N., Girisha, R., Gouda, K.C., Mahesha, A.(2023). Trends of seasonal and annual rainfall of semi-arid districts of Karnataka, India: application of innovative trend analysis approach. Theoretical and Applied Climatology. 152, 241– 264 (Springer). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.1007/s00704-023- 04400-9

Kikon, A., Dodamani, B.M., Deb Barma, S., Naganna, S.R. (2023). ANFIS-based soft computing models for forecasting effective drought index over an arid region of India. AQUA — Water Infrastructure, Ecosystems and Society. 72 (6): 930–946 (IWA). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.2166/aqua.2023.204

Deb Barma et al. (2022). Evaluation of ERA5 and IMERG Precipitation Data for Risk Assessment of Water Cycle Variables of a Large River Basin in South Asia using Satellite data and Archimedean Copulas. Water Conservation and Management. 6, 61-69. (SCOPUS indexed, Q2) http://doi.org/10.26480/wcm.01.2022.61.69

Sajeev, A., Deb Barma, S., Mahesha, A., Shiau, J.-T. (2021). Bivariate Drought Characterization of Two Contrasting Climatic Regions in India Using Copula. Journal of Irrigation and Drainage Engineering. 147, 05020005 (ASCE).(SCOPUS/SCIE  indexed,Q2) https://doi.org/10.1061/(ASCE)IR.1943-4774.0001536

Uttarwar, S.B., Deb Barma, S., Mahesha, A. (2020). Bivariate Modeling of Hydroclimatic Variables in Humid Tropical Coastal Region Using Archimedean Copulas. Journal of Hydrologic Engineering. 25, 05020026 (ASCE). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.1061/(ASCE)HE.1943-5584.0001981

Sharannya, T. M., Al-Ansari, N., Deb Barma, S., & Mahesha, A. (2020). Evaluation of Satellite Precipitation Products in Simulating Streamflow in a Humid Tropical Catchment of India Using a Semi-Distributed Hydrological Model. Water. 12(9), 2400. (SCOPUS/SCIE indexed,Q1) https://doi.org/10.3390/W12092400

Kumar, S. S., Deb Barma, S., & Amai, M. (2020). Simulation of coastal aquifer using mSim toolbox and COMSOL multiphysics. Journal of Earth System Science. 129(1),

66 (Springer). (SCOPUS/SCIE indexed, Q2) https://doi.org/10.1007/s12040-019-1329-9

- Dr. SURAJIT DEB BARMA

1. “Energy Conservation In Wireless Sensor Network: An Overview”, Published in Volume 2 Issue 8 publishes from 5th August to 31st August 2014 of IJRIT.
2.  “Multi-core interactive Framework for Program Optimization and Parallelization”, Published in, Volume I, NMAMIT Annual Research Journal, ISBN: 2249-0426

- Mr. DEEPAK RAO M

1. Raju K, Niranjan N Chiplunkar, Sahana Karanth, Multithreaded Implementation of Data Intensive Applications with Overlapped I/O and Computation, National Conference on Parallel Computing Technology, 2015,Published by IEEE, ISBN: 978-1-4799-6916-6 2.
2. Sahana Karanth , Jenishiya Castelino, Nireeksha, Frencita Nazareth, Anvitha K, An Advanced Library Management System Using Android device, International Journal of Latest Technology in Engineering, Management & Applied Science ISSN: 2278-2540, Page No. 39-41, Volume VI, Issue IV,Month April,Year 2017.
3. Sowmya, S., Sahana, R., Nayak, V.P. (2024). An Efficient Cryptographic Technique to Improve Data Privacy and Security in E-Commerce. In: Ansary, O., Lin, M., Shivakumar, B.R. (eds) Recent Advances in Signals and Systems. VSPICE 2023. Lecture Notes in Electrical Engineering, vol 1227. Springer, Singapore. https://doi.org/10.1007/978-981-97-4657-6_7

- Ms. SAHANA

• “An Intelligent Anti-smuggling system for trees” published in IJRASET volume 7, issue 5, May 2019.
• “E vilas: A way to deal with agricultural and homely products” published in IOSR journal NCACME 2020 special edition, volume 2, August 2020.
• “Smart helmet for bikers” published in IOSR journal NCACME 2020 special edition, volume 2, August 2020.

- Mr. RAGHAVENDRA I. HEGDE

1. “An Efficient Cache Management using Adaptive Buffer Mechanism in MANET”, IJCAT, ISSN: 2348 – 6090, Volume 1, Issue 4 and May 2014.

- Ms. RUKMINI BHAT B