Embedded Files
Publications in
Publications in
Granted Patents
Mandava, A.K. and Bemaras, J., "Bet sensing apparatuses and methods" US Patent No. US10134223B2, 20th Nov 2018.
Journals
Naveen Adusumilli, Jeena Jacob, Ajay Kumar Mandava. Student engagement analysis using Bi-Up sampling feature pyramid network with inter cross coordinate self attention, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), 2025 Vol.16 No.1, pp.134 - 153. https://doi.org/10.58346/JOWUA.2025.I1.008
Naveen, A., Jacob, I. J., & Mandava, A. K. (2025). Detection of Student Engagement via Transformer-Enhanced Feature Pyramid Networks on Channel-Spatial Attention. Informatics and Automation, 24(2), 631-656. https://doi.org/10.15622/ia.24.2.10
Kalyani Peddina; Ajay Kumar Mandava, The intelligent object detection framework for detecting fish from underwater images, International Journal of Communication Networks and Distributed Systems, 2025 Vol.31 No.1, pp.63 - 88. https://doi.org/10.1504/IJCNDS.2025.142996
Peddina, K., Mandava, A.K. An optimized deep network-based fish tracking and classification from underwater images. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19417-z
Sara, D., Mandava, A. K. (2024). An automated detection model of threat objects for X-Ray baggage inspection based on modified encoder-decoder model. Nondestructive Testing and Evaluation, 1-26. https://doi.org/10.1080/10589759.2024.2306477
Sara, D., Mandava, A.K. MC-CDPNet: Multi-Channel Correlated Detail Preserving Network for X-Ray-Based Baggage Screening. J Nondestruct Eval 42, 47 (2023). https://doi.org/10.1007/s10921-023-00961-x
T J, S.J., Jacob, I.J., Mandava, A.K. D-ResNet-PVKELM: deep neural network and paragraph vector based kernel extreme machine learning model for multimodal depression analysis. Multimed Tools Appl 82, 25973–26004 (2023). https://doi.org/10.1007/s11042-023-14351-y
Thandaga Jwalanaiah, S. J., Jeena Jacob, I., Mandava, A. K. (2023). Effective deep learning based multimodal sentiment analysis from unstructured big data. Expert Systems, e13096. https://doi.org/10.1111/exsy.13096.
Sara, D., Mandava, A.K., Kumar, A. et al. Hyperspectral and multispectral image fusion techniques for high resolution applications: a review. Earth Sci Inform 14, 1685–1705 (2021). https://doi.org/10.1007/s12145-021-00621-6.
Ajay K. Mandava, Emma. E. Regentova, George Bebis "Locally and Feature-Adaptive Diffusion Based Image Denoising", Applied Mathematics & Information Sciences (AMIS), An International Journal, 8, No. 1, 1-12 (2014). https://dx.doi.org/10.12785/amis/080101
Ajay K. Mandava, Emma. E. Regentova, "Adaptive Image Denoising Based on Non-linear Diffusion in Wavelet Domain", Journal of Electronic Imaging 20, 033016 (Sep 14, 2011). https://doi.org/10.1117/1.3628671
Emma E. Regentova, Lei Zhang, Ajay K. Mandava, Vijay K. Mandava, Kranthi K. Potetti, Gongyin Chen, Zane Wilson, "Advantages and Challenges of Radioscopic Detection of Nuclear Materials in Cargo Containers with Two Megavoltage Energy Barriers", Journal of Nuclear Technology, Vol 175 (1), July 2011, pp.276-285. https://doi.org/10.13182/NT11-A12300
Ajay Kumar Mandava, Emma E. Regentova, Henry Selvaraj, “Real-time On-Board Object Tracking for Cooperative Flight Control”, Journal of Systems Science, vol.36, no. 2, 2010, pp.15-22.
Conference Proceedings
Naveen Adusumilli, Jeena Jacob, Ajay Kumar Mandava. "A Dual Upsampling Feature Pyramid Attention Network for Student Engagement Analysis", 16th International IEEE Conference on Computing, Communication And Networking Technologies (ICCCNT), IIT Indore, India, 2025 (Accepted).
D. Sara and A. K. Mandava, "Screening of Baggage X-ray Images Using Convolutional Neural Networks," 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-7.
T. J. Swasthika Jain, I. J. Jacob and A. K. Mandava, "SRNN-MAFM-based Unimodal Text Sentiment Analysis," 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), Dharwad, India, 2023, pp. 1-5.
Mandava, A.K., Regentova, E.E. (2022). Cluster Adaptive Stationary Wavelet Diffusion. In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K. (eds) Soft Computing and Signal Processing. ICSCSP 2021. Advances in Intelligent Systems and Computing, vol 1413. Springer, Singapore.
Varun, K.S., Mandava, A.K., Chowdary, R., Robust DWT-SVD domain image watermarking based on iterative blending, Journal of Physics: Conference Series, 2021, 2070(1), 012111
Ajay K. Mandava, Emma E. Regentova, Markus Berli, "Unsupervised segmentation of soil x-ray microtomography images", in Seventh International Conference on Digital Image Processing (ICDIP 2015), Charles M. Falco; Xudong Jiang, Editors, Proceedings of SPIE Vol. 9631, 96310Q.
Ajay K. Mandava, Emma E. Regentova, Markus Berli, A Semi-automated Segmentation of Soil X-ray Microtomography, Procedia Computer Science, Volume 46, 2015, Pages 1468-1475
Ajay K. Mandava, Emma E. Regentova, Visualization of Nuclear and other Non-commercial Materials Using Megavoltage X-ray Technology, Procedia Computer Science, Volume 46, 2015, Pages 1268-1273
Ajay K. Mandava, Emma E. Regentova, Image Denoising Based on Adaptive Diffusion, Eighth International Conference on Image and Signal Processing (ICISP-2014), Elsevier Science and Technology, July 25-27, 2014, Bangalore, India, pp. 370-378.
Ajay K. Mandava, E. Regentova and L. Zhang, Detection of nuclear and other non-Commercial Materials using Megavoltage X-ray Technology, Eighth International Conference on Image and Signal Processing (ICISP-2014), Elsevier Science and Technology, July 25-27, 2014, Bangalore, India, pp. 1-6. ISBN No: 9789351072522.
Ajay K. Mandava, Emma E. Regentova and Markus Berli, Automated Segmentation of Soil X-ray Microtomography (XMT) Images, Eighth International Conference on Image and Signal Processing (ICISP-2014), Elsevier Science and Technology, July 25-27, 2014, Bangalore, India, pp. 346-350. ISBN No: 9789351072522.
Ali P. Kermani, Ajay K. Mandava, Emma E Regentova, Venkatesan Muthukumar and George Bebis, A CUDA Based Implementation of Locally-and Feature-Adaptive Diffusion Based Image Denoising Algorithm, 11th International Conference on Information Technology: New Generations (ITNG), vol., no., pp.388,393, 7-9 April 2014.
Ali Pour Yazdanpanah, Emma E. Regentova, Ajay Kumar Mandava, and George Bebis, “Sky Segmentation by Fusing Clustering with Neural Networks", 9th International Symposium on Visual Computing (ISVC'13), Crete, Greece, July 29-31, 2013.
Ajay K. Mandava, Emma. E. Regentova, George Bebis "Feature Based Locally Adaptive Diffusion for Image Denoising", Proceedings of the 2013 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2013, July 22-25, 2013, Las Vegas, Nevada, USA, 2 Volumes. CSREA Press 2013.
Ajay K. Mandava, Emma E. Regentova, “Speckle Noise Reduction Using Local Binary Pattern”, 2nd International Conference on Communication, Computing & Security, Procedia Engineering Vol6, 2012, Pg 574–581
Jazmin E. Aravena, Siul Ruiz, Ajay Kumar Mandava, Emma E. Regentova, Teamrat Ghezzehei, Markus Berli, Scott W. Tyler, “Synchrotron X-Ray Microtomography (XMT) – New Means to Quantify Root Induced Changes of Rhizosphere Physical Properties”, ASA, CSSA and SSSA Annual Meetings 2012, Abstract No: 70451. (2012).
Ajay K. Mandava, Emma. E. Regentova, K Egiazarian "Local Binary Pattern Adaptive Diffusion for Image Denoising", Proceedings of the 2012 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2012, July 16-19, 2012, Las Vegas, Nevada, USA, 2 Volumes. CSREA Press 2012.
Jazmin E. Aravena, Siul Ruiz, Ajay Kumar Mandava, Emma E. Regentova, Teamrat Ghezzehei, Markus Berli, Scott W. Tyler, "Simulating root-induced rhizosphere deformation and its effect on water flow", AGU 2011, SFO, Dec 5th - Dec 9th, 2011, abstract # H51A-1182.
Ajay K. Mandava, Emma E. Regentova, "Image Diffusion In Connection With Robust M-Estimators", The International Conference on Communication Technology and system Design, Procedia Engineering Vol30, 2012, Pg 1138–1145.
Ajay K. Mandava, Emma. E. Regentova, "Adaptive Non-linear Diffusion in Wavelet Domain", ICIAR 2011, Part I, LNCS 6753, pp. 58--68, Springer, Heidelberg (2011).
Ajay K. Mandava, Latifi Shahram, Emma E. Regentova, "Reliability Assessment of Microarray Data Using Fuzzy Classification Methods: A Comparative Study", ACC 2011, Part I, CCIS 190, pp. 351–360, Springer, Heidelberg (2011).
Ajay Kumar Mandava, Emma E. Regentova and Markus Berli, “Image Denoising by Exploring the Context Information in the Wavelet Domain”, In Advances in Communications, Computers, Systems, Circuits and Devices, European Conference of Circuits Technology and Devices (ECCTD'10), pp.32-36.
Pillai, N.S., A.K. Mandava, K.K. Potteti, E.E. Regentova and M. Berli, “Overcoming limits of computer visualization techniques for analyzing physical properties of the rhizosphere”, AGU 2010, SFO, Dec 13th - Dec 17th, 2010, abstract #H13D-1006.
E. Regentova, L. Zhang, A. K. Mandava, V.K. Mandava et al. , “Advantages and Challenges of Radioscopic Detection of Nuclear Materials in Cargo Containers with Two Megavoltage Energy Barriers”, American Nuclear Society, Radiation Protection and Shielding Division, 2010 Topical Meeting, April 18-23, 2010, Las Vegas.
Ajay K. Mandava, Lei Zhang and E. E. Regentova, “Radioscopic Inspection of Cargo Containers with Megavoltage Energy Barriers”, SMC2009, IEEE conference on Systems, Man and Cybernetics, 2009, pp.3510 – 3515.
L. Zhang, E. E. Regentova, A. Mandava, V. Mandava, S. Curtis, “Radioscopic Cargo Screening for Detecting Nuclear Materials with Megavoltage Dual Energy Barriers”, HPS 2009 Midyear Proceedings, Recent Advances in Planning and Response to Radiation Emergencies, San Antonio, January 31st, 2009, pp.31-39.
G. Veni, E. E. Regentova, A.K. Mandava, “A New Method of Detecting Microcalcification Clusters for Computer Aided Digital Mammography”, Nineteenth International Conference on Systems Engineering (ICSENG 2008), Las Vegas, Aug 19th-21th, 2008, pp532-537.
Book Chapters
Jazmin E. Aravena, Markus Berli, ManojMenon, Teamrat A. Ghezzehei, Ajay K. Mandava, Emma E. Regentova, Natarajan S. Pillai, John Steude, Michael H. Young, Peter S. Nico and Scott W. Tyler, “Synchrotron X-ray Microtomography (XMT) – New Means to Quantify Root Induced Changes of Rhizosphere Physical Properties” , Tomography and Imaging of Soil-Water-Root Processes, S.H. Anderson and J.W. Hopmanns (Eds.), SSSA Special Publication 61, Soil Science Society of America Inc., Madison Wis., 39-68, 2013.
Suresh Kumar, N., Padma Suvarna, R., Chandra Babu Naidu, K., Manjunatha, H., Ratnamala, A., Ajay Kumar, M. (2021). Electrochemical Green Synthesis. In: Inamuddin, Boddula, R., Ahamed, M.I., Khan, A. (eds) Advances in Green Synthesis. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-67884-5_15
U Naresh, N Suresh Kumar, K Chandra Babu Naidu, B Venkata Shiva Reddy, A Manohar, M Ajay Kumar, T Anil Babu (2021). Corrosion in Electronics. In: N. Suresh Kumar, P. Banerjee, H. Manjunatha, K. Chandra Babu Naidu (eds) Corrosion Science: Modern Trends and Applications. Bentham Books. https://doi.org/10.2174/97898114818331210101
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