Suvendu   Rup

Department Information Technology
Designation Associate Professor
Educational Qualification Ph.D.
E-Mail srup.it@nitrr.ac.in
Contact Number 8917636163
Areas of Interest

Computer Vision, Image and Video Processing, Visual Surveillance, Medical Image Analysis, Machine Learning and Deep Learning

Publications

Some Selected Research Publications (International Journals)

  • Ensemble Knowledge Distillation for Collaborative Pseudo-Label Refinement in Unsupervised Domain Adaptation for Person-reidentification, Sidharath Samanta, Debasish Jena, and Suvendu Rup, Optik- International Journal for Light and Electron Optics, Elsevier, Vol-328, June 2025, https://doi.org/10.1016/j.ijleo.2025.172303
  • Unsupervised dual-teacher knowledge distillation for pseudo-label refinement in domain adaptive person re-identification, Sidharath Samanta, Debasish Jena, and Suvendu Rup, Multimedia Tools and Applications, Springer, September 2024, https://doi.org/10.1007/s11042-024-20147-5
  • An improved tube rearrangement strategy for choice-based surveillance video synopsis generation, Subhankar Ghatak, Suvendu Rup, Aurobinda Behera, Banshidhar Majhi, and M.N.S Swamy Digital Signal Processing, Elsevier, January 2023, Vol.-113, (SCI, IF-3.381). https://doi.org/10.1016/j.dsp.2022.103817
  • An improved scheme for multifeature-based foreground detection using challenging conditions, Subrata Mohanty, Suvendu Rup, and M.N.S Swamy, Digital Signal Processing, Elsevier, June 2021, Vol.-113, (SCI, IF-3.381). https://doi.org/10.1016/j.dsp.2021.103030
  • GAN based efficient foreground extraction and HGWOSA based optimization for video synopsis generation, Subhankar Ghatak, Suvendu Rup, Himanshu Didwania, and M.N.S Swamy, Digital Signal Processing, Elsevier, April 2021, Vol.-111, (SCI, IF-3.381). https://doi.org/10.1016/j.dsp.2021.102988
  • An adaptive background modeling for foreground detection using spatio-temporal features, Subrata Kumar Mohanty, and Suvendu Rup, Multimedia Tools and Applications, Springer, Vol-80, pp-1311-1341, January 2021, (SCI, IF-2.75).
  • Automated diagnosis of breast cancer using parameter optimized kernel extreme learning machine, Figlu Mohanty, Suvendu Rup, and Bodhisattva Dash, Biomedical Signal Processing and Control, Elsevier, Vol-62, September 2020 (SCI, IF-3.88). https://www.sciencedirect.com/science/article/pii/S1746809420302639
  • An improved scheme for digital mammogram classification using weighted chaotic salp swarm algorithm-based kernel extreme learning machine, Figlu Mohanty, Suvendu Rup, Bodhisattva Dash, Banshidhar Majhi, and M.N.S. Swamy, Applied Soft Computing, Elsevier, Vol-91, June 2020, (SCI, IF-8.263). https://doi.org/10.1016/j.asoc.2020.106266
  • HSAJAYA: An Improved Optimization Scheme for Consumer Surveillance Video Synopsis Generation, Subhankar Ghatak, Suvendu Rup, Banshidhar Majhi, and M.N.S. Swamy, IEEE Transactions on Consumer Electronics, Vol.-62, Issue-2, pp- 144-152, March 2020, (SCI, IF-2.94). 10.1109/TCE.2020.2981829
  • An improved surveillance video synopsis framework: a HSATLBO optimization approach, Subhankar Ghatak, Suvendu Rup, Banshidhar Majhi, and M.N.S. Swamy, Multimedia Tools and Application, Springer, February 2020, Vol.-79, pp- 4429-4461 (SCI, IF-2.75). https://doi.org/10.1007/s11042-019-7389-7
  • Decoder side Wyner–Ziv frame estimation using Chebyshev polynomial-based FLANN technique for distributed video coding, Bodhisattva Dash, Suvendu Rup, Anjali Mohapatra, Banshidhar Majhi, and M.N.S. Swamy, Multidimensional Systems and Signal Processing, Springer, July 2019, Vol.-30, pp- 1031-1061 (SCI, IF-2.01). https://doi.org/10.1007/s11045-018-0594-0
  • Mammogram classification using contourlet features with forest optimization-based feature selection approach, Figlu Mohanty, Suvendu Rup, Bodhisattva Dash, Banshidhar Majhi, and M.N.S Swamy, Multimedia Tools and Applications, Springer, May 2019, Vol.-78, pp- 12805-12834 (SCI, IF-2.75). https://doi.org/10.1007/s11042-018-5804-0
  • A hybrid block-based motion estimation algorithm using JAYA for video coding techniques, Bodhisattva Dash, Suvendu Rup, Figlu Mohanty, and M.N.S. Swamy, Digital Signal Processing, Elsevier, May 2019, Vol.-88, (SCI, IF-3.381). https://doi.org/10.1016/j.dsp.2019.01.016  
  • Digital mammogram classification using 2D-BDWT and GLCM features with FOA-based feature selection approach, Figlu Mohanty, Suvendu Rup, Bodhisattva Dash, Banshidhar Majhi, and M.N.S. Swamy, Neural Computing and Applications, Springer, June 2020, Vol-32, pp 7029-7043, (SCI, IF-5.6). https://doi.org/10.1007/s00521-019-04186-w
  • A computer-aided diagnosis system using Tchebichef features and improved grey wolf optimized extreme learning machine, Figlu Mohanty, Suvendu Rup, Bodhisattva Dash, Banshidhar Majhi, M.N.S. Swamy, Applied Intelligence, Springer, March 2019, Volume 49, Issue 3, pp 983–1001, (SCI, IF-5.08). https://doi.org/10.1007/s10489-018-1294-z
  • Multi-resolution extreme learning machine-based side information estimation in distributed video coding, Bodhisattva Dash, Suvendu Rup, Anjali Mohapatra, Banshidhar Majhi, and M.N.S Swamy, Multimedia Tools and Applications, Springer, October 2018, Volume 77, Issue 20, pp 27301–27335, (SCI, IF-2.75). https://doi.org/10.1007/s11042-018-5921-9
  • Decoder driven side information generation using ensemble of MLP networks for distributed video coding, Bodhisattva Dash, Suvendu Rup, Anjali Mohapatra, Banshidhar Majhi, M.N.S. Swamy, Multimedia Tools and Applications, Springer June 2018, Volume 77, Issue 12, pp 15221–15250, (SCI, IF-2.75). https://doi.org/10.1007/s11042-017-5103-1
  • An improved side information generation for distributed video coding, Suvendu Rup, Banshidhar Majhi, and Sudarsan Padhy,  AEU-International Journal of Electronics and Communications, Elsevier,  March 2014, Volume 68, Issue 3, pp 201-209, (SCI, IF-3.18) https://doi.org/10.1016/j.aeue.2013.08.005
  • A mixed framework for transform domain Wyner–Ziv video coding, Suvendu  Rup, and Banshidhar Majhi, Optik-International Journal for Light and Electron Optics, Elsevier, November 2013, Volume 124, Issue 21, pp 4929-4938, (SCI, IF-2.44), https://doi.org/10.1016/j.ijleo.2013.03.15

 

SCOPUS INDEXED CONFERENCES 

  • An Automated Diabetic Retinopathy Detection using Deep Features and PCA-Based Dimensionality Reduction, Abhishek Saw, and Suvendu Rup, 16th International IEEE Conference on Computing Communication and Networking Technologies, Indore, July 2025
  • Sign Language Recognition using GLCM and ResNet50 features with PPCA-based Feature Reduction Approach, Dimpy Sahoo, and Suvendu Rup, IEEE 1st International Conference on Advances in Signal Processing, Power, Communication and Computing, December 2024
  • Diabetic Retinopathy Detection using DWT and NGTDM Features with PCA-Based Feature Reduction Approach, Abhishek Saw, and Suvendu Rup, IEEE 1st International Conference on Advances in Signal Processing, Power, Communication and Computing, December 2024
  • Traffic Flow Prediction Using LSTM, ARIMA & SARIMA Model for Intelligent Transportation System, Rupal Verma, Sudhakar Pandey, Suvendu Rup, International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT), November 2024, Bhubaneswar
  • Diagnosis of digital mammograms using computer-assisted system: A Review, Aditya Mishra, Suvendu Rup, Figlu Mohanty, International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT), November 2024, Bhubaneswar
  • Sign Language Recognition using CLBP and DWT features with KPCA-based Feature Reduction Approach, Dimpy Sahoo, and Suvendu Rup, IEEE Asian Conference on Intelligent Technologies (ACOIT), September 2024
  • A Review of State-of-the-Art Domain Adaptation Methods in Person Re-Identification, Sidharath Samanta, Debasish Jena, and Suvendu Rup, 6th International Conference on Computational Intelligence in Pattern Recognition (CIPR), Springer, March 2024.
  • Leveraging Teacher Ensembles to Mitigate Label Noise in Clustering-Based Unsupervised Domain Adaptation for Person Re-Identification, Sidharath Samanta, Debasish Jena, and Suvendu Rup, 21st IEEE OITS International Conference on Information Technology (OCIT 2023), Pages- 829-834, DOI- 10.1109/OCIT59427.2023.10431050
  • An effective CAD system using Tchebichef features and Fisher score-based distributed filter for digital mammogram classification, Figlu Mohanty, Chinmayee Dora, Suvendu Rup, 21st IEEE OITS International Conference on Information Technology (OCIT 2023), Pages-314-318, DOI-10.1109/OCIT59427.2023.10430569
  • On the Development of Foreground Detection under Complex Background, Subrata Kumar Mohanty, and Suvendu Rup, 8th IEEE International Conference on Signal Processing and Integrated Networks (SPIN-2021), 26th-27th August 2021, Amity University, Noida, India, pp-70-75. DOI- 10.1109/SPIN52536.2021.9565993
  • Single Camera Surveillance Video Synopsis: A Review and Taxonomy, Subhankar Ghatak, and Suvendu Rup, 18th IEEE International Conference on Information Technology (ICIT-2019), 19th-21st December 2019, IIIT Bhubaneswar, pp- 483-488. DOI-10.1109/ICIT48102.2019.00091
  • A New Approach for Moving Object Detection under Varying Illumination Environments, Subrata Kumar Mohanty, Sushree Priyadarshini and Suvendu Rup, 18th IEEE International Conference on Information Technology (ICIT-2019), 19th-21st December 2019, IIIT Bhubaneswar pp-420-424. DOI-10.1109/ICIT48102.2019.00080
  • Recent Advances in Extreme Learning-based Approaches for Breast Cancer Diagnosis, Sarthak Padhy, and Suvendu Rup, 18th IEEE International Conference on Information Technology (ICIT-2019), 19th-21st December 2019, IIIT Bhubaneswar, pp-494-499, DOI-10.1109/ICIT48102.2019.00093
  • Multi-Frame and Multi-Scale Conditional Generative Adversarial Networks for Efficient Foreground Extraction, Himansu Didwania, Subhankar Ghatak and Suvendu Rup, International Conference on Computer Vision and Image Processing, in proc. Communications in Computer and Information Science book series, Springer (CCIS, volume 1148), MNIT Jaipur, 27th-29th September 2019, pp-211-222. DOI-https://doi.org/10.1007/978-981-15-4018-9_20
  • Mammogram Segmentation Methods: A Brief Review, Sarthak Padhy, Suvendu  Rup, Sanjay Saxena, and Figlu Mohanty, 2nd  IEEE International Conference on Intelligent Communication and Computational Techniques (ICCT), Manipal University Jaipur, 28th-29th September 2019, pp-.218-223. DOI- 10.1109/ICCT46177.2019.8968781
  • Block-level cross diagonal texture matrix-based feature extractor for digital mammogram classification, Anirban Manna, Govind Chandak, Rohit Mundada, Subash Chandra Manohari, Figlu Mohanty and Suvendu Rup,  IEEE TENSYMP, 7th-9th June 2019, Kolkata, pp-447-450, DOI- 10.1109/TENSYMP46218.2019.8971147
  • Compound Local Binary Pattern and Enhanced Jaya Optimized Extreme Learning Machine for Digital Mammogram Classification, Figlu Mohanty, Suvendu Rup, Bodhisattva Dash, International Conference on Intelligent Data Engineering and Automated Learning (IDEAL-2018), in proc. Lecture Notes in Computer Science book series Springer (LNCS, volume 11314), September 2018, Madrid, Spain, pp-1-8. DOI: 10.1007/978-3-030-03493-1_1
  • An Improved Block-Matching Algorithm Based on Chaotic Sine-Cosine Algorithm for Motion Estimation, Bodhisattva Dash, Suvendu Rup, International Conference on Artificial Neural Networks (ICANN-2018), in proc. Lecture Notes in Computer Science book series Springer (LNCS, volume 11141), September 2018, Rhodes, Greece, pp-759-770. DOI: 10.1007/978-3-030-01424-7_74
  • An Improved CAD Framework for Digital Mammogram Classification Using Compound Local Binary Pattern and Chaotic Whale Optimization-Based Kernel Extreme Learning Machine, Figlu Mohanty, Suvendu Rup, Bodhisattva Dash,  International Conference on Artificial Neural Networks (ICANN-2018), in proc. Lecture Notes in Computer Science book series Springer (LNCS, volume 11140), September 2018, Rhodes, Greece, pp-14-23, DOI-https://doi.org/10.1007/978-3-030-01421-6_2
  • A hybrid computer-aided diagnosis system for abnormality detection in mammograms, Vinod Kumar, Figlu Mohanty, Bodhisattava Dash, Suvendu Rup, 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), pp-496-500, May 2017, Bangaluru, India. DOI- 10.1109/RTEICT.2017.8256646
  • On the development of moving object detection from traditional to fuzzy based techniques, Bibhu Prasad Das, Priyanka Jenamani, Suvendu Rup, Subrata Kumar Mohanty, 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). May 2017, Bangaluru, India pp-658-661. DOI- 10.1109/RTEICT.2017.8256679
  • An evaluation of moving object detection under varying illumination, Priyanka Jenamani, Bibhu Prasad Das, Suvendu Rup, Anjali Mohapatra, Subrata Kumar Mohanty, 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), pp-1399-1403, May 2017, Bangaluru, India. DOI-10.1109/RTEICT.2017.8256830
  • An effective Side Information generation scheme for Wyner-Ziv Video Coding, Bodhisattva Dash, Suvendu Rup, Anjali Mohapatra, Banshidhar Majhi, Eighth IEEE International Conference on Advanced Computational Intelligence (ICACI2016), pp-296-301, February 2016, Chiang Mai, Thailand. DOI- 10.1109/ICACI.2016.7449842
  • A modified framework for Image compression using Burrows-Wheeler Transform, Annapurna Pradhan, Nibedita Pati, Suvendu Rup, Avipsa S. Panda, 2nd International Conference on Computational Intelligence and Networks (CINE), pp-150-153, Jan 2016, Bhubaneswar, India.  DOI-10.1109/CINE.2016.33
  • A Thresholding-based Salt and Pepper Noise Removal using B-Spline Interpolation in MRI Images, Figlu Mohanty, Suvendu Rup, Bodhisattava Dash, 7th IEEE International Conference on Computational Intelligence & Communication Networks, pp-246-250, Dec 2015, Jabalpur, India. DOI- 10.1109/CICN.2015.56
  • Burrows Wheeler Transform Based Hybrid Video Coding, Suvendu Rup, and Banshidhar Majhi, International Joint Conference on Information and Communication Technology (IJCICT-2010), Bhubaneswar, pp-14-18.
  • Recent advances in distributed video coding, Suvendu Rup, Ratnakar Dash, Niranjan Kumar Ray, Banshidhar Majhi, 2nd IEEE International Conference on Computer Science and Information Technology, pp-130-135, August 2009, China. DOI- 10.1109/ICCSIT.2009.5234835

SCOPUS INDEXED Some Selected BOOK CHAPTERS 

  • Moirangthem Gelson Singh , Sanjay Saxena , Sarthak Padhi , Suvendu Rup, “Brain cancer and World Health Organization”, Radiomics and Radiogenomics in Neuro-Oncology,  Volume 1, Pages 57-83, 2024, https://doi.org/10.1016/B978-0-443-18508-3.00001-2
  • Nidhi Suryawanshi, Suvendu Rup, and Aakanksha Sharaff, “A Review on Breast Cancer Detection for Digital Mammograms”, Algorithm for Intelligence System, Springer, Pages 239-250, March 2024
  • Subhankar Ghatak, Suvendu Rup, “Performance Study of Some Recent Optimization Techniques for Energy Minimization in Surveillance Video Synopsis Framework” Lecture Notes in Networks and Systems (LNNS), Volume-79, Springer, January 2019, Kolkata, pp-227-237. DOI: https://doi.org/10.1007/978-981-32-9453-0_23
  • Annapurna Pradhan, Nibedita Pati, Suvendu Rup, Avipsa S Panda, Lalit Kumar Kanoje, A comparative analysis of compression techniques–the sparse coding and BWT, Procedia Computer Science, Elsevier, Vol-92, pp-106-111, Jan 2016, Bhubaneswar, India. DOI- 10.1016/j.procs.2016.07.330
  • Menaxi J Bagchi, Figlu Mohanty, Suvendu Rup, Bodhisattva Dash, Banshidhar Majhi, Digital Mammogram Classification Using Compound Local Binary Pattern Features with Principal Component Analysis Based Feature Reduction Approach, Communications in Computer and Information Science (CCIS, Volume-905) Springer, April, 2018, Dehradun, India, 270-278.

Thesis Supervised: 

Ph.D.: Graduated-04, Continuing-05

M.Tech: Graduated-30, Continuing-01

B.Tech: Graduated-70

Other Info.