PhD Scholars |

Moumita Roy, Thounaojam, D.M. and Pal, S. Perceptual hashing scheme using KAZE feature descriptors for combinatorial manipulations. Multimed Tools Appl (2022). https://doi.org/10.1007/s11042-022-12626-4

Arpita Nath Boruah

Scholar Id: 18-3-05-102

Research Area:

Supervisor:

Email ID:arpita.boruah@hotmail.com

Phone No: +91 xxxxxxxxxx

Sujit Kumar Das

Scholar Id: 18-3-05-103

Research Area:

Supervisor:Dr. Pinki Roy

Email ID:dassujit88@gmail.com

Phone No: +91 xxxxxxxxxx

Sumanta Banerjee

Scholar Id: 18-3-05-105

Research Area:

Supervisor:

Email ID:sumanta.banerjee85@gmail.com

Phone No: +91 xxxxxxxxxx

Banamali Das

Scholar Id: 18-3-05-106

Research Area:

Supervisor:Dr. Pinki Roy

Email ID:banamalidas02@gmail.com

Phone No: +91 xxxxxxxxxx

SABUZIMA NAYAK

Scholar Id: 18-3-05-107

Research Area: BIG DATA and BIOINFORMATICS

Supervisor: Dr. Ripon Patgiri

Email ID:sabuzimanayak@gmail.com

Phone No: +91 xxxxxxxxxx

Publications

Sabuzima Nayak and Ripon Patgiri, “A Review on Role of Bloom Filter on DNA Assembly“, IEEE Access, volume 7, pp. 66939-66954, DOI: 10.1109/ACCESS.2019.2910180 . [Impact Factor: 4.098, Indexed: SCIE, Scimago Ranking: Q1]
Ripon Patgiri, Sabuzima Nayak and Samir Kumar Borgohain, “rDBF: A r-Dimensional Bloom Filter for Massive Scale Membership Query” Journal of Network and Computer Applications, Vol. 136, Issue: 15 June 2019, DOI: 10.1016/j.jnca.2019.03.004 [Impact Factor: 5.570, Indexed: SCIE, Scimago Ranking: Q1]
Ripon Patgiri, Sabuzima Nayak and Samir Kumar Borgohain, “PassDB: A Password Database with Strict Privacy Protocol using 3D Bloom Filter“, Information Sciences, Vol. 539, Issue: October 2020, pages: 157 – 176, DOI: 10.1016/j.ins.2020.05.135 [Indexed: SCIE, Scimago Ranking: Q1, Impact Factor: 6.795].
Ripon Patgiri, Sabuzima Nayak, and Samir Kumar Borgohain, “ScaleBF: A High Scalable Membership Filter using 3D Bloom Filter“, International Journal of Advanced Computer Science and Applications, Vol. 9 No. 12, 2018, DOI: 10.14569/IJACSA.2018.091277. [Indexed: SCOPUS
Ripon Patgiri, Sabuzima Nayak, and Samir Kumar Borgohain, “ipBF: A Fast and Accurate IP Address Lookup using 3D Bloom Filter“, 18th International Conference on Intelligent Systems Design and Applications, VIT Chennai, India, December 6-8, 2018, DOI: 10.1007/978-3-030-16660-1_18 [Core Rank: C].
Sabuzima Nayak, Ripon Patgiri, and Angana Borah, “A Survey on the roles of Bloom Filter in implementation of the Named Data Networking“, Computers Networks, Vol. 196 (2021), Elsevier, DOI: 10.1016/j.comnet.2021.108232 [Indexed: SCIE, Scimago Ranking: Q1, Impact Factor: 4.474] Download for free (50 days): https://authors.elsevier.com/a/1dFT-4xsUs08-x
Sabuzima Nayak, and Ripon Patgiri, “countBF: A General-purpose High Accuracy and Space Efficient Counting Bloom Filter“, 17th International Conference on Network and Service Management, Izmir, Turkey, 25-29 October 2021, [Core Rank: B].
Suman Bera, Hiresh Das, Sabuzima Nayak and Ripon Patgiri, “Future Tactile Internet: Issues, Challenges and Applications”, 6^th IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2021), Himachal Pradesh, India.
Lilapati Waikhom, Ripon Patgiri and Sabuzima Nayak, “A Survey on Bloom Filter for Multiple sets”, International Conference on Modeling, Simulation and Optimization, August 3-5, 2020.
Sabuzima Nayak and Ripon Patgiri, “6G Communication: A Vision on the Potential Applications”, 26th International Conference on Advanced Computing (ADCOM 2020), December 16-19, 2020 [Core Rank: B]
Sabuzima Nayak, Ripon Patgiri and Naresh Babu Muppalaneni, “Is Bloom Filter a Bad Choice for Security and Privacy?”, IEEE 35th International Conference on Information Networking (ICOIN 2021), January 13-16, 2021, Korea, [Core Rank: B]
Sabuzima Nayak and Ripon Patgiri, “6G Communication: Envisioning the Key Issues and Challenges“, EAI Endorsed Transactions on Internet of Things, vol 6, 2020, DOI: 10.4108/eai.11-11-2020.166959.
Nayak S., Patgiri R. (2021) “6G Communication Technology: A Vision on Intelligent Healthcare“. In: Patgiri R., Biswas A., Roy P. (eds) Health Informatics: A Computational Perspective in Healthcare. Studies in Computational Intelligence, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-15-9735-0_1
Sabuzima Nayak and Ripon Patgiri, “A Vision on Intelligent Medical Service for Emergency on 5G and 6G Communication Era“, EAI Endorsed Transactions on Internet of Things, Vol. 6, 2020, DOI: 10.4108/eai.17-8-2020.166293
Sabuzima Nayak, Ripon Patgiri and Thoudam Doren Singh, “Big Computing: Where are we heading?” EAI Endorsed Transaction on Scalable Information Systems, online first, DOI: 10.4108/eai.13-7-2018.163972 [Indexed: ESCI].
Ripon Patgiri, Sabuzima Nayak, and Samir Kumar Borgohain, “Hunting the Pertinency of Bloom Filter in Computer Networking and Beyond: A Survey“, Journal of Computer Networks and Communications, Volume 2019, Article ID 2712417, 10 pages, DOI: 10.1155/2019/2712417. [Indexed: SCOPUS, ESCI, Scimago Ranking: Q2]
Ripon Patgiri, Sabuzima Nayak, and Samir Kumar Borgohain, “Role of Bloom Filter in Big Data Research: A Survey“, International Journal of Advanced Computer Science and Applications, Vol. 9, No. 11, 2018, DOI: 10.14569/IJACSA.2018.091193. Download PDF. [Indexed: SCOPUS]
Ripon Patgiri, Sabuzima Nayak, and Samir Kumar Borgohain, “Preventing DDoS using Bloom Filter: A Survey“, EAI Endorsed Transaction on Scalable Information Systems, Vol. 5, No. 19, DOI: 10.4108/eai.19-6-2018.155865. Download PDF. [Indexed: ESCI]
Ripon Patgiri, Sabuzima Nayak, and Samir Kumar Borgohain, “Shed More Light on Bloom Filter’s Variants“, 17th International Conference on Information & Knowledge Engineering, Las Vegas, Nevada, USA, 30 July – 2 August 2018.
Sabuzima Nayak, and Ripon Patgiri, “A Study on Big Cancer Data“, 18th International Conference on Intelligent Systems Design and Applications, VIT, Chennai, December, 6-8, 2018 DOI: 10.1007/978-3-030-16657-1_38 [Core Rank: C].
Sabuzima Nayak and Ripon Patgiri, “Dr. Hadoop: In Search of a Needle in a Haystack“, 15th International Conference on Distributed Computing and Internet Technology (ICDCIT 2019), KIIT University, Bhubaneswar, Odisha, India, LNCS, Springer, January 10–13, 2019, DOI: 10.1007/978-3-030-05366-6_8

ARNAB KUMAR MISHRA

Scholar Id: 18-3-05-108

Research Area: MACHINE LEARNING, Speech Processing

Supervisor:

Email ID:arnab.mishra.1992@gmail.com

Phone No: +91 xxxxxxxxxx

LOITONGBAM SANAYAI MEETEI

Scholar Id: 18-3-05-109

Research Area:NATURAL LANGUAGE PROCESSING

Supervisor:

Email ID: loisanayai@gmail.com

Phone No: +91 xxxxxxxxxx

CANDY LALREMPUII

Scholar Id: 18-3-05-110

Research Area: Machine Translation

Supervisor: Dr. Badal Soni

Email ID: candylalrempuii@gmail.com

Phone No: +91 xxxxxxxxxx

Admitted in 2019

Arpita Ghosh

Scholar Id: 19-3-05-102

Research Area: Medical Image Processing

Supervisor: Dr. Badal Soni

Co-Supervisor: Dr. Ujwala Baruah

Email ID: arpita5102_rs@cse.nits.ac.in

Phone No: +91 xxxxxxxxxx

Soumita Das

Scholar Id: 19-3-5-103

Research Area: Social Network Analysis

Supervisor: Dr. Anupam Biswas

Email ID: soumita_rs@cse.nits.ac.in

Phone No: +91 xxxxxxxxxx

Sahinur Laskar

Scholar Id: 19-3-05-104

Research Area: Natural Language Processing, Machine Translation

Supervisor: Dr. Partha Pakray and Prof. Sivaji Bandyopadhyay

Email ID: sahinur_rs@cse.nits.ac.in

Phone No: 7002460508

Joseph L Pachuau

Scholar Id: 19-3-5-105

Research Area:

Supervisor: Dr Anish Kumar Saha

Email ID: xxxxxxxxx@gmail.com

Phone No: +91 xxxxxxxxxx

Arnab Roy

Scholar Id: 19-3-5-106

Research Area:

Supervisor: Dr Anish Kumar Saha

Email ID: xxxxxxxxx@gmail.com

Phone No: +91 xxxxxxxxxx

Satish Kumar Satti

Scholar Id: 19-3-05-112

Research Area: Computer Vision and Image Processing

Supervisor: Dr. Suganya devi K.

Email ID: satish_rs@cse.nits.ac.in

Phone No: 9581236143

Publications

INTERNATIONAL JOURNALS

S. K. Satti., Devi, K.S., Dhar, P. et al. Detecting potholes on Indian roads using Haar feature-based cascade classifier, convolutional neural network, and instance segmentation. Soft Comput (2022). https://doi.org/10.1007/s00500-022-07265-8
Satish Kumar Satti, Suganya Devi,K., Prasad Maddula, N V Vishnumoorthy Ravipati, (2021),” Unified Approach for Detecting Traffic signs and Potholes on Indian Roads”, Journal of King Saud University. https://doi.org/10.1016/j.jksuci.2021.12.006. [Indexed: SCIE, Impact Factor: 13.473].
Satish Kumar Satti,, K, Suganya Devi, P, Srinivasan. (2021),”R-ICTS: Recognize the Indian cautionary traffic signs in real-time using an optimized adaptive boosting cascade classifier and a convolutional neural network. Concurrency Computat Pract Exper. 2021;e6796. doi:10.1002/cpe.6796 [Indexed: SCIE, Impact Factor: 1.536].
Prasenjit Dhar, Suganya Devi, K., Satish Kumar Satti, P. Srinivasan,(2020), ” A study on various segmentation and machine learning algorithms used for early detection of cancer”, Journal of Advanced Research in Dynamical and Control Systems, Volume 12, Issue 6, Pages:1416-1432. https://www.jardcs.org/abstract.php?id=5108 [Indexed: Scopus].
Satish Kumar Satti, Suganya Devi,K., Prasenjit Dhar, P. Srinivasan,(2020), “A machine learning approach for detecting and tracking road boundary lanes”, ICT Express, ISSN 405-9595, https://doi.org/10.1016/j.icte.2020.07.007. [Indexed: SCIE, Impact Factor: 4.317].
Satish Kumar Satti, Suganya Devi K, Vishnu Murthy, Srinivasan P, (2019), ‘Efficient Technique for removal of white and mixed noises in gray-scale images’, International journal of Innovative engineering and Management Research, Vol.8(9), pp.22-36. : https://ssrn.com/abstract=3447018
[Indexed: Elsevier SSRN, Impact Factor : 7.812].
Satish Kumar Satti, Suganya Devi K, Prasenjit Dhar, Srinivasan P, (2019), ‘An Efficient Noise separation technique for Removal of Gaussian and Mixed Noises in monochrome and color Images’, International Journal of Innovative Technology and Exploring Engineering, Vol.8(9), pp.588-601. [Indexed: Scopus].

INTERNATIONAL CONFERENCES

S. K. Satti, K. Suganya Devi, K. Sekar, P. Dhar and P. Srinivasan, “ICTS: Indian Cautionary Traffic Sign Classification Using Deep Learning,” 2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 2022, pp. 1-7, doi: 10.1109/ICDCECE53908.2022.9792996.
Satti S.K., Suganya Devi K., Dhar P., Srinivasan P., (2020) Enhancing and Classifying Traffic Signs Using Computer Vision and Deep Convolutional Neural Network, Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1240. Springer, Singapore. https://doi.org/10.1007/978-981-15-6315-7_20. [Indexed: Scopus].
Satish Kumar Satti, Suganya Devi K., Vishnu Murthy, Srinivasan P, (2019), ‘Efficient Technique for removal of white and mixed noises in gray-scale images’, Elsevier-International Conference on Innovations in Science and Engineering (ICISE-2K19), August 31, 2019, pp.18. [Indexed: SSRN].

BOOK CHAPTERS

1. Dhar P., Suganya Devi K., Satti S.K., Srinivasan P. (2021) Detail Study of Different Algorithms for Early Detection of Cancer. In: Patgiri R., Biswas A., Roy P. (eds) Health Informatics: A Computational Perspective in Healthcare. Studies in Computational Intelligence, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-15-9735-0_12 [Indexed: SCI].

Pankaj Kundan Dadure

Scholar Id: 19-3-05-119

Research Area: Natural Language Processing

Supervisor: Dr. Partha Pakray and Prof. Sivaji Bandyopadhyay

Email ID: pankaj_rs@cse.nits.ac.in

Phone No: 9545757478

Nageshwar Nath Pandey

Scholar Id: 19-3-05-125

Research Area: Machine Learning

Supervisor: Dr. Naresh Babu Muppalaneni

Email ID: nageshwar_rs [at] cse [dot] nits [dot] ac [dot] in

Publications

Nageshwar Nath Pandey, Naresh Babu Muppalaneni A survey on visual and non-visual features in Driver’s drowsiness detection. Multimed Tools Application. Springer (2022). SCIE Indexed, IF: 2.757 https://doi.org/10.1007/s11042-022-13150-1
Nageshwar Nath Pandey, Naresh Babu Muppalaneni “A novel drowsiness detection model using composite features of head, eye, and facial expression” Neural Computing & Applications. Springer (2022). SCIE Indexed, IF: 5.6 https://doi.org/10.1007/s00521-022-07209-1
Nageshwar Nath Pandey, Naresh Babu Muppalaneni , “Driver Distraction Identification using Multiple Machine Learning Approaches,” 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), 2021, pp. 1-6, doi: 10.1109/ICCICA52458.2021.9697193. SCOPUS
Nageshwar Nath Pandey, Naresh Babu Muppalaneni “A novel algorithmic approach of open eye analysis for drowsiness detection” International Journal of Information Technology, Springer(2021), https://doi.org/10.1007/s41870-021-00811-x SCOPUS
https://www.scopus.com/record/display.uri?eid=2-s2.0-85116598680&origin=inward
Nageshwar Nath Pandey, Naresh Babu Muppalaneni “Temporal and spatial feature based approaches in drowsiness detection using deep learning technique”. Journal of Real-Time Image Processing, Springer (2021). SCIE Indexed, IF: 2.358
https://www.scopus.com/record/display.uri?eid=2-s2.0-85105400406&origin=inward
Nageshwar Nath Pandey, Naresh Babu Muppalaneni “Real-Time Drowsiness Identification based on Eye State Analysis” 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS-2021) IEEEXplore (2021)
https://www.scopus.com/record/display.uri?eid=2-s2.0-85105020585&origin=inward

Ravi Kishore Devarapalli

Scholar Id: 19-3-5-129

Research Area: Social Network Analysis

Supervisor: Dr. Anupam Biswas

Email ID: ravi5129@cse.nits.ac.in

Phone No: +91 xxxxxxxxxx

Prarthana Dutta

Scholar Id: 19-3-05-130

Research Area: Machine Learning

Supervisor: Dr. Naresh Babu Muppalaneni

Email ID: prarthana_rs [at] cse [dot] nits [dot] ac [dot] in

Publications

Prarthana Dutta, Naresh Babu Muppalaneni (2022). A Survey on Image Segmentation for Handwriting Recognition. In: Chen, J.IZ., Tavares, J.M.R.S., Shi, F. (eds) Third International Conference on Image Processing and Capsule Networks. ICIPCN 2022. Lecture Notes in Networks and Systems, vol 514. Springer, Cham. https://doi.org/10.1007/978-3-031-12413-6_39
Prarthana Dutta, Naresh Babu Muppalaneni “DigiNet: Prediction of Assamese handwritten digits using convolutional neural network” Concurrency and Computation: Practice and Experience, Wiley, June 2021, SCIE, Impact factor 1.537 http://doi.org/10.1002/cpe.6451
https://www.scopus.com/record/display.uri?eid=2-s2.0-85107869088&origin=inward
Prarthana Dutta, Naresh Babu Muppalaneni, and Ripon Patgiri. “A Survey on Explainability in Artificial Intelligence.” Handbook of Research on Advances in Data Analytics and Complex Communication Networks. IGI Global, 2022. 55-75. (Book Chapter) http://doi.org/10.4018/978-1-7998-7685-4.ch004
Prarthana Dutta and Naresh Babu Muppalaneni, “Explaining Machine Learning Predictions: A Case Study,” 2022 Trends in Electrical, Electronics, Computer Engineering Conference (TEECCON), 2022, pp. 72-77, doi: 10.1109/TEECCON54414.2022.9854821. IEEEXplore (2022)

http://www.scopus.com/inward/record.url?eid=2-s2.0-85138095656&partnerID=MN8TOARS
Prarthana Dutta, Naresh Babu Muppalaneni (2022). A Survey on Image Segmentation for Handwriting Recognition. In: Chen, J.IZ., Tavares, J.M.R.S., Shi, F. (eds) Third International Conference on Image Processing and Capsule Networks. ICIPCN 2022. Lecture Notes in Networks and Systems, vol 514. Springer, Cham. https://doi.org/10.1007/978-3-031-12413-6_39
Prarthana Dutta and Naresh Babu Muppalaneni, “Datasets in OCR for Handwriting Recognition: A Survey,” 2023 4th International Conference on Computing and Communication Systems (I3CS), Shillong, India, IEEEXplore (2023), pp. 1-8, doi: 10.1109/I3CS58314.2023.10127285.

Fitsum Gebreegziabher Gebretsadik

Scholar Id: 19-3-05-133

Research Area: Bloom Filter and Big Data

Supervisor: Dr. Ripon Patgiri

Email ID: fitsum_rs@cse.nits.ac.in

Phone No: +91 xxxxxxxxxx

Admitted in 2020

Ruchi Singh

Scholar Id: 20-3-05-101

Research Area: Machine Learning

Supervisor: Dr. Naresh Babu Muppalaneni

Email ID: ruchi_rs [at] cse [dot] nits [dot] ac [dot] in

Boddu Venkateswarlu

Scholar Id: 20-3-05-108

Research Area: Blockchain

Supervisor: Dr. Malaya Dutta Borah

Co-Supervisor: Dr. Naresh Babu Muppalaneni

Email ID: boddu_rs [at] cse [dot] nits [dot] ac [dot] in

Publications

Prachurjya Kashyap, Syed Tafreed Numan, Amit Kumar, Rohit Paul, Boddu Venkateswarlu, Naresh Babu Muppalaneni, Malaya Dutta Borah “Blockchain and Supply Chain Management: Implementation of COVID Vaccines” Prospects of Blockchain Technology for Accelerating Scientific Advancement in Healthcare, IGI-Global [ Book Chapter] 2022
https://doi.org/10.4018/978-1-7998-9606-7.ch009

Gopal Krishna

Scholar Id: 20-3-05-118

Research Area:

Supervisor: Dr Anish Kumar Saha

Email ID: xxxxxxxxx@gmail.com

Phone No: +91 xxxxxxxxxx

Eduri Raja

Scholar Id: 20-3-05-119

Research Area: Fake News Detection

Supervisor: Dr. Badal Soni

Co-Supervisor: Dr. Samir K. Borgohain

Email ID: eduri_rs@cse.nits.ac.in

Phone No: +91 xxxxxxxxxx

Mutum Franckie Singha

WhatsApp Image 2023-10-18 at 12.36.38 PM

Scholar Id: 20-3-05-107

Research Area: Security and Deep Learning

Supervisor: Dr. Ripon Patgiri

Email ID: m_rs@cse.nits.ac.in

Arpita Choudhury

WhatsApp Image 2023-10-19 at 11.34.24 AM

Scholar Id: 20-3-05-120

Research Area: Natural Language Processing

Supervisor: Dr. Pinky Roy

Email ID: arpitachoudhury_rs@cse.nits.ac.in

Admitted in 2021

Kadambari Raghuram

Scholar Id: 21-3-05-102

Research Area: Data Mining

Supervisor: Dr. Malaya Dutta Borah

Co-Supervisor: Dr. Naresh Babu Muppalaneni

Email ID: kadambari21_rs@cse.nits.ac.in

Repudi Ramesh

Scholar Id: 21-3-05-105

Research Area:

Supervisor: Dr. Ripon Patgiri

Co-Supervisor: Dr. Naresh Babu Muppalaneni

Email ID: repudiramesh@gmail.com

Rashmi Pathak

Scholar Id: 21-3-05-106

Research Area: Blockchain Technology

Supervisor: Dr. Badal Soni

Co-Supervisor: Dr. Naresh Babu Muppalaneni

Email ID: rashmi21_rs@cse.nits.ac.in

Publications

1. Rashmi Pathak, Badal Soni, Naresh Babu Muppalaneni (2022). Role of Blockchain in Health Care: A comprehensive study, Proceedings of International conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications

Jyothsna Vaddi

Scholar Id: 21-3-05-113

Research Area: Machine Learning for Bioinformatics

Supervisor: Dr. Naresh Babu Muppalaneni

Co-Supervisor: Dr. Anish Kumar Saha

Email ID: jyothsna21_rs@cse.nits.ac.in

Ch. Prathima

Scholar Id: 21-3-05-116

Research Area: Data Deduplication

Supervisor: Dr. Naresh Babu Muppalaneni

Email ID: chilukuriprathi@gmail.com

Publications

Prathima C., Muppalaneni N.B., Kharade K.G. (2022) Deduplication of IoT Data in Cloud Storage. In: Satyanarayana C., Gao XZ., Ting CY., Muppalaneni N.B. (eds) Machine Learning and Internet of Things for Societal Issues. Advanced Technologies and Societal Change. Springer, Singapore. https://doi.org/10.1007/978-981-16-5090-1_13

S Berlin Shaheema

Scholar Id: 21-3-02-030

Research Area: Medical Image Processing

Supervisor: Dr. Naresh Babu Muppalaneni

Email ID: berlin21_rs@cse.nits.ac.in

Publications

Berlin Shaheema S, Naresh Babu Muppalaneni, Jasper J “Benign and Malignant Brain Tumor Segmentation Using a Melody-Search Optimization Algorithm with an Extreme Softplus Learning,” 2022 IEEE Silchar Subsection Conference (SILCON), Silchar, India, 2022, pp. 1-7, doi: 10.1109/SILCON55242.2022.10028854. IEEEXplore (2023)

C Lalrinmawii

Scholar Id: 21-3-02-050

Research Area: Diabetes Data Anlytics

Supervisor: Dr. Naresh Babu Muppalaneni

Email ID: clalrinmawii21_rs@cse.nits.ac.in

Publications

C. Lalrinmawii and Naresh Babu Muppalaneni, “An Overview of the Workflow of Next-Generation Sequencing Data Analysis,” 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, IEEEXplore (2023), pp. 1655-1659, doi: 10.1109/ICESC57686.2023.10193007.