Dr. Ripon Patgiri


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Assistant Professor, Grade-I
Phone: +91-9508631596, 6001582066
Email: ripon[at]cse.nits.ac.in | patgiri[at]ieee.org | ripon.patgiri[at]gmail.com
Date of Joining: 22/04/2013
Academic/Industrial Experience: 9+ years
Google Scholar: Click Here
Room No.: CS30

 

 

 

 

 

 

 

 

 

Looking for PhD Students in Bloom Filter, Cryptography, Security and Deep Learning. You can apply by clicking here.

 

 

PERSONAL INFORMATION

ACADEMIC QUALIFICATIONS

  • B. Tech. from IETE
  • M.Tech.  from IIT Guwahati
  • Ph.D. from NIT Silchar
  • Download CV

 

AREA OF INTERESTS

  • Bloom Filter
  • Edge Computing
  • Computer Networking and Communication.
  • Network Security and Privacy
  • Cryptography
  • Cloud Computing
  • Machine Learning
  • Big Data

SHORT BIOGRAPHICAL SKETCH

Dr. Ripon Patgiri received his Bachelor’s Degree from the Institution of Electronics and Telecommunication Engineers, New Delhi in 2009. He received his M.Tech. degree from the Indian Institute of Technology Guwahati in 2012. He received his Doctor of Philosophy from the National Institute of Technology Silchar in 2019. After M.Tech. degree, he joined as an Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology Silchar in 2013. He has published numerous papers in reputed journals, conferences, and books. Also, he is awarded with several international patents including Australian, German, and South African patents. His research interests include distributed systems, file systems, Hadoop and MapReduce, big data, bloom filter, storage systems, and data-intensive computing. He is a senior member of IEEE. He is a member of EAI, and a lifetime member of ACCS, India. Also, he is an associate member of IETE. He was General Chair of the 6th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2018, http://www.icacni.com) and the International Conference on Big Data, Machine Learning and Applications (BigDML 2019, http://bigdml.nits.ac.in). He is the Organizing Chair of the 25th International Symposium on Frontiers of Research in Speech and Music (FRSM 2020, http://frsm2020.nits.ac.in) and the International Conference on Modeling, Simulations and Applications (CoMSO 2020, http://comso.nits.ac.in). He is the convenor, Organizing Chair and Program Chair of the 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020). He is a guest editor in the special issue “Big Data: Exascale computation and beyond” of EAI Endorsed Transactions on Scalable Information Systems. He is also an editor in a multi-authored book, titled “Health Informatics: A Computational Perspective in Healthcare“, in the book series of Studies in Computational Intelligence, Springer. Also, he is writing a monograph book, titled “Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics and Beyond“, Elsevier.

ACADEMIC ACTIVITIES

SUBJECTS TAUGHT

  • Introduction to Computer Programming
  • Data Structures
  • Algorithm Design & Analysis
  • Computer Networking
  • Cloud Computing

PROFESSIONAL SOCIETY

  • Senior Member, IEEE
  • Member, EAI
  • Lifetime Member, ACCS
  • Associate Member, IETE

ADMINISTRATIVE RESPONSIBILITIES

  • Web Services (April 2019 -)
  • Member, Board of Governor, National Institute of Technology Silchar
  • Faculty-in-charge, Eco-Club, NIT Silchar

PROJECTS AND PATENTS

PROJECTS

  •  PI: MedEdge: Design and Development of Edge Computing-Structured Framework to enhance Healthcare and to enable Collaborative Biomedical Research, EEQ, SERB, Govt. of India, Sanction amount: INR 28,67,832 [Ongoing].
  • Co-PI: Establishment of Science Technology and Innovation Hub in NIT Silchar, Cachar, Assam, for the socio-economic upliftment of SC/ST population in Assam, DST, Sanction amount: INR 144.37 Lakhs [Ongoing].

PATENTS

AUSTRALIAN PATENT(S)

GERMANY PATENT(S)

SOUTH AFRICAN PATENT(S)

  • Sabuzima Nayak, Ripon Patgiri, Dalton Meitei Thounaojam, Uriti Kartheek Chandra Patnaik, Venkata Siva Nageswararao Kadiyala, Hemant Nandkishor Watane, Repudi Ramesh, Ramesh Babu Mallela, “A counting Bloom Filter”, App. No. 2022/05074, Granting date: 25.01.2023

EDITORSHIP AND BOOKS PUBLICATIONS

EDITORSHIP

BOOKS

RESEARCH PUBLICATIONS

PREPRINTS

  1. Ripon Patgiri and Laiphrakpam Dolendro Singh and Dalton Meitei Thounaojam, “VORSHA: A Variable-sized, One-way, and Randomized Secure Hash Algorithm”, Cryptology ePrint Archive, Paper 2023/110, 2023, https://eprint.iacr.org/2023/110.

  2. Ripon Patgiri and Laiphrakpam Dolendro Singh, “PassPro: A secure password protection from the adversaries”, Cryptology ePrint Archive, Paper 2023/148, 2023, https://eprint.iacr.org/2023/148.

 

INTERNATIONAL CONFERENCES

  1. Lilapati Waikhom and Ripon Patgiri, “GNN-Adv: Defence Strategy from Adversarial Attack for Graph Neural Network,” 2022 IEEE Silchar Subsection Conference (SILCON), Silchar, India, 2022, pp. 1-7, doi: 10.1109/SILCON55242.2022.10028958.
  2. Ripon Patgiri, and Malaya Dutta Borah, “HEX-BLOOM: An Efficient Method for Authenticity and Integrity Verification in Privacy-preserving Computing“, 41st IEEE — International Performance Computing and Communications Conference, Accepted, [Core ranking: B].
  3. Golla Uday Sai Theja, Motukoori Sai Murari, M. Franckie Singha, Ripon Patgiri, and Ananya Choudhury, “A Survey on Surveillance using Drones“, 2022 Fourteenth International Conference on Contemporary Computing (IC3 2022), August, 04-06, 2022.
  4. Ripon Patgiri, “symKrypt: A Lightweight Symmetric-Key Cryptography for Diverse Applications“, In: Studies in Computational Intelligence, vol 1055, 2023, Springer, Cham. https://doi.org/10.1007/978-3-031-12127-2_1, IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS 2022), June 26-28, 2022 in Zhuhai, China [Core ranking: C].
  5. Ripon Patgiri, “OSHA: A General-purpose and Next Generation One-way Secure Hash Algorithm“, IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS 2022), June 26-28, 2022 in Zhuhai, China [Core ranking: C] [The Best Paper Award, 22nd IEEE/ACIS 2022].
  6. Ripon Patgiri and Naresh Babu Muppalaneni, “Stealth: A Highly Secured End-to-End Symmetric Communication Protocol“, 2022 International Symposium on Networks, Computers and Communications (ISNCC’22), Shenzhen, China, July 19-22, 2022 [Core ranking: C].
  7. Lilapati Waikhom and Ripon Patgiri, “Recurrent Convolution based Graph Neural Network for Node Classification in Graph structure data“, 12th International Conference on Cloud Computing, Data Science & Engineering, January 27-28, 2022, UP, India, doi: 10.1109/Confluence52989.2022.9734174.
  8. Ripon Patgiri, Malaya Dutta Borah and Laiphrakpam Dolendro Singh, “Data Secrecy: Why does it matter in the Cloud Computing paradigm?“, International Conference on Modeling, Similatiion and Optimization (CoMSO 2021), December 16-18, 2021.
  9. M Franckie Singha and Ripon Patgiri, “A Survey on DDoS Detection using Deep Learning in Software Defined Networking“, International Conference on Big Data, Machine Learning and Applications (BigDML 2021), December 19-20, 2021.
  10. Ashmita Roy Medha, Muskan Gupta, Sabuzima Nayak and Ripon Patgiri, “6G Communication: A Vision on Deep Learning in URLLC“, International Conference on Modeling, Similatiion and Optimization (CoMSO 2021), December 16-18, 2021.
  11. Sabuzima Nayak, Manisha Panda and Ripon Patgiri, “Role of Decision Making for providing effective Healthcare“, International Conference on Modeling, Similatiion and Optimization (CoMSO 2021), December 16-18, 2021.
  12. Ripon Patgiri and Laiphrakpam Dolendro Singh, “An Analysis on the Variants of the RSA Cryptography“, The 36th International Conference on Information Networking (ICOIN 2022), 12-15 January 2022, Jeju, Korea, pp. 40-45, doi: 10.1109/ICOIN53446.2022.9687262 [Core Rank: B].
  13. Anupam Singha, Shuvojryoti Sarkar, Sabuzima Nayak, and Ripon Patgiri, “Green Cloud Computing – To Build A Sustainable Tomorrow“, IEEE International Conference for Advancement in Technology (ICONAT 2022), Goa, India.
  14. Prakash Jha, Navneet Gangwar, Himanshu Mani Tripathi, Tareq Bin Ahammed, Samim Jahin and Ripon Patgiri, “AxomDB: A Distributed, Scalable In-Memory Database System“, 19th OITS International Conference on Information Technology  (OCIT2021), 16-18 December 2021, Bhubaneswar, India
  15. Ripon Patgiri, Malaya Dutta Borah and Laiphrakpam Dolendro Singh, “SecretStore: A Secrecy as a Service model to enable the Cloud Storage to store user’s secret data“, 26th IEEE Asia-Pacific Conference on Communications (APCC), Kuala Lumpur, Malaysia 10 – 13 October 2021 (Core ranking: C)
  16. Suman Bera, Hiresh Das, Sabuzima Nayak and Ripon Patgiri, “Future Tactile Internet: Issues, Challenges and Applications“, 6th IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2021), Himachal Pradesh, India, Accepted.
  17. 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, pp. 355-359, doi: 10.23919/CNSM52442.2021.9615556, [Core Rank: B].
  18. Ripon Patgiri, “Rando: A General-Purpose True Random Number Generator for Conventional Computers“, The 20th IEEE International Conference on Trust, Security, and Privacy in Computing and Communications (TrustCom 2021), 20-22 October 2021, Shenyang, China, pp. 107-113, DOI: 10.1109/TrustCom53373.2021.00032 [Core Rank: A].
  19. Ripon Patgiri, “Whisper: A Curious Case of Valid and Employed Mallory in Cloud Computing“, 8th IEEE International Conference on Cyber Security and Cloud Computing (IEEE CSCloud 2021), June 26-28, 2021, Washington DC, USA, DOI: 10.1109/CSCloud-EdgeCom52276.2021.00033.
  20. 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].
  21. Ripon Patgiri, “sxKV: A Novel Secured and Bidirectional Key-Value Data Structure“,  The 22nd IEEE International Conferences on High Performance Computing and Communications (HPCC’20), December, 14-16, 2020, Fiji [Core Rank: B].
  22. Naresh Babu Muppalaneni and Ripon Patgiri, “Malware Detection using Machine Learning Approach“, International Conference on Big Data, Machine Learning and Applications (BigDML 2019), December 16-19, 2019.
  23. Tareq Bin Ahammed and Ripon Patgiri, “6G and AI: The Emergence of Future Forefront Technology“, International Conference on Advanced Communication Technologies and Signal Processing (IEEE-ACTS 2020), December 4-6, 2020.
  24. 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] (Accepted).
  25. 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.
  26. Ripon Patgiri, Sabuzima Nayak and Samir Kumar Borgohain, “acBF: A High Accuracy Membership Filter using rDBF“, 25th annual International Conference on Advanced Computing and Communications, 5th – 7th September 2019, Bangalore, India [Core Rank: B].
  27. Ripon Patgiri, “HFil: A High Accuracy Bloom Filter“, The 21st IEEE International Conferences on High Performance Computing and Communications (HPCC’19), to be held on Sat, 10 Aug, 2019 – Mon, 12 Aug, 2019, Zhangjiajie, China [Core Rank: B], doi: 10.1109/HPCC/SmartCity/DSS.2019.00300.
  28. Ripon Patgiri, Sabuzima Nayak, and Samir Kumar Borgohain, “PassDB: A Password Database using 3D Bloom Filter“, The 21st IEEE International Conferences on High Performance Computing and Communications (HPCC’19), to be held on Sat, 10 Aug, 2019 – Mon, 12 Aug, 2019, Zhangjiajie, China [Core Rank: B], doi: 10.1109/HPCC/SmartCity/DSS.2019.00162.
  29. Deepali Jain, Ripon Patgiri and Sabuzima Nayak, “In-memory Big Graph: A Future Research Agenda“, 22nd International Conference on Business Information Systems, University of Seville, Sevilla, Spain, LNBIP, pp. 18-29, 26-28 June 2019, DOI: 10.1007/978-3-030-20485-3_2. [Core Rank: B].
  30. Deepali Jain and Ripon Patgiri, “Network Motifs: A Survey“, 3rd International Conference on Advances in Computing and Data Sciences, 12-13 April 2019, India,  Communications in Computer and Information Science, vol 1046, Springer, Singapore, DOI: 10.1007/978-981-13-9942-8_8.
  31. 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].
  32. 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  [Core Rank: C].
  33. Ripon Patgiri, Hemanth Katari, Ronit Kumar and Dheeraj Sharma, “Empirical study on Malicious URL Detection Using Machine Learning“, 15th International Conference on Distributed Computing and Internet Technology (ICDCIT 2019), KIIT University, Bhubaneswar, Odisha, India, LNCS, Springer, DOI: 10.1007/978-3-030-05366-6_31 [Core Rank: C].
  34. Ripon Patgiri, Udit Varsheney, Tanya Akutota and Rakesh Kunde, “An Investigation on Intrusion Detection System Using Machine Learning“, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2018), 18-21 November, Bengaluru, India, DOI: 10.1109/SSCI.2018.8628676 [Core Rank: C].
  35. Irani Acharjamayum, Ripon Patgiri and Dhruwajita Devi, “Blockchain: A Tale of Peer to Peer Security“, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2018), 18-21 November, Bengaluru, India, DOI: 10.1109/SSCI.2018.8628826 [Core Rank: C].
  36. 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, Download PDF.
  37. Ripon Patgiri, and Umakanta Majhi, “Big Data Security Analytics: Key Challenges“, 14th International Conference on Data Science (ICDATA’18), Las Vegas, Nevada, USA, 30 July – 2 August 2018, Download PDF.
  38. Ripon Patgiri, Sabuzima Nayak, Bishal Paul and Tanya Akutota, “Machine Learning: A Dark Side of Cancer Computing“, The 19th International Conference on Bioinformatics & Computational Biology, BIOCOMP’18, Las Vegas, Nevada, USA, to be held on 30 July – 2 August 2018, Download PDF.
  39. Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain, “Impact of Metadata Server on a Large Scale File System“, 11th IEEE Colombian Conference on Communications and Computing (IEEE-COLCOM 2018), Modellin, Colombia, 16-18th May 2018, DOI: 10.1109/ColComCon.2018.8466729.
  40. 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].
  41. Ripon Patgiri, Sabuzima Nayak, Dipayan Dev, and Samir Kumar Borgohain, “Dr. Hadoop Cures In-memory Data Replication System“, 6th International Conference of Advanced Computing, Networking and Informatics, AISC, Springer, 4-6th June 2018, Assam, India, DOI:10.1007/978-981-13-9680-9_19.
  42. Ripon Patgiri, and Sabuzima Nayak, “Data of Things: The Best Thing Since Sliced Bread“, 7th IEEE International Conference on Communication and Signal Processing (ICCSP 2018), 3-5th April 2018, Tamil Nadu, India, DOI: 10.1109/ICCSP.2018.8524588.
  43. Ripon Patgiri, Samir Kumar Borgohain, and Arup Bhattacharjee, “rFilter: A Scalable and Space-efficient Membership Filter“, Fifth International Conference on Signal Processing & Integrated Networks (SPIN), 22-25 February, 2018, Noida, UP, India, DOI: 10.1109/SPIN.2018.8474044.
  44. Ripon Patgiri, and Rajdeep Das, “rTuner: A Performance Enhancement of MapReduce Job“, The 10th International Conference on Computer Modeling and Simulation (ICCMS), Pages 176-183, Jan. 08-10, 2017, Sydney, Australia, ACM, doi: 10.1145/3177457.3191710.
  45. Ripon Patgiri, Samir Kumar Borgohan, and Shyamosree Pal, “Elastica: A Large Scale Elastic Array Data Structure” , 8th edition, 2018 International Conference on Computer Communication and Informatics (ICCCI -2018), Jan. 04 – 06, 2018, Coimbatore, India, IEEE, DOI: 10.1109/ICCCI.2018.8441469.
  46. Ripon Patgiri, “Issues and Challenges in Big Data: A Survey“,  14th International Conference on Distributed Computing and Internet Technology, ICDCIT 2018, 11-13 January, KIIT University, Bhubaneswar, Odisha, India, LNCS, Springer, DOI: 10.1007/978-3-319-72344-0_25 [Core Rank: C].
  47. Ripon Patgiri, and Arif Ahmed, “Big Data: The V’s of the Game Changer Paradigm“, 18th IEEE International Conference on High Performance Computing and Communications (HPCC 2016), Pages 17-24, Sydney, Australia, doi: 10.1109/HPCC-SmartCity-DSS.2016.0014 [Core Rank: B].
  48. Ripon Patgiri, “MDS: In-depth Insight“, 15th International Conference on Information Technology (ICIT-2016), Bhubaneswar, India, IEEE, doi: 10.1109/ICIT.2016.048
  49. Dhananjay Kumar Singh, and Ripon Patgiri, “Big Graph: Tools, Techniques, Issues, Challenges and Future Directions“, Sixth International Conference on Advance in Computing and Information Technology (ACITY-2016), pp. 119–128, CS & IT-CSCP 2016,  doi: 10.5121/csit.2016.60911.
  50. Ripon Patgiri, Dipayan Dev and Arif Ahmed, “dMDS: Uncover the hidden issues in Metadata Server design“,4th International Conference on Advanced Computing, Networking, and Informatics (ICACNI-2016), AISC, Springer, doi: 10.1007/978-981-10-3373-5_53.
  51. Dipayan Dev and Ripon Patgiri, “A Survey of Different Technologies and Recent Challenges of Big Data“, Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics, Volume 44 of the series Smart Innovation, Systems and Technologies pp 537-548, 2016, doi: 10.1007/978-81-322-2529-4_56
  52. Dipayan Dev and Ripon Patgiri, “Performance evaluation of HDFS in big data management“, IEEE High Performance Computing and Applications (ICHPCA), 2014 International Conference, Coimbator, India, pp.1,7, doi: 10.1109/ICHPCA.2014.7045330
  53. Dipayan Dev and Ripon Patgiri, “HAR+: Archive and Metadata Distribution! Why Not Both?“, 2015 International Conference on Computer Communication and Informatics-IEEE, DOI: 10.1109/ICCCI.2015.7218119.

INTERNATIONAL JOURNALS

  1. Zeba Shamsi, Lilapati Waikhom, Anish Kumar Saha, Ripon Patgiri, Mutum Franckie Singha, Laiphrakpam Dolendro Singh, “Visually meaningful cipher data concealment”, Digital Signal Processing, volume 155, 2024, [Indexed: SCIE, Impact Factor: 2.9], doi:https://doi.org/10.1016/j.dsp.2024.104717.
  2. Prabhakar Sharma Neog, Moumita Roy, Tejas Sangale, Nandita Jain, Aditi Dahal, Ripon Patgiri & Dalton Meitei Thounaojam, “Pyram: a robust and attack-resistant perceptual image hashing using pyramid histogram of gradients”,  International Journal of Information Technology, 2024, [Indexed: Scopus] https://doi.org/10.1007/s41870-024-02019-1
  3. Laiphrakpam Dolendro Singh, Rohit Thingbaijama, Ripon Patgiri and Khoirom Motilal Singh, “Cryptanalysis of cross-coupled chaotic maps multi-image encryption scheme”, Journal of Information Security and Applications. Volume 80, 2024, 103694, ISSN 2214-2126, [Indexed: SCIE, Impact Factor: 3.8] https://doi.org/10.1016/j.jisa.2023.103694
  4. Fitsum Gebreegziabher Gebretsadik, Sabuzima Nayak and Ripon Patgiri, “eBF: An Enhanced Bloom Filter for Intrusion Detection in IoT“, Journal of Big Data, Vol. 10, [Indexed: SCIE, Impact Factor: 8.1, SJR: 2.71, Q1]
  5. Lilapati Waikhom, Ripon Patgiri, and Laiphrakpam Dolendro Singh, “Dynamic Temporal Position Observant Graph Neural Network for Traffic Forecasting“, Applied Intelligence, Accepted, [Indexed: SCIE, Impact Factor: 5.3, SJR: 1.15, Q2].
  6. Lilapati Waikhom, Yeshwant Singh and Ripon Patgiri, “PO-GNN: Position-Observant Inductive Graph Neural Networks for Position-Based Prediction“, Information Processing and Management, Volume 60, Issue 3, May 2023 [Indexed: SCIE, Impact Factor: 8.6, SJR: 1.85, Q1]
  7. Ripon Patgiri, Anupam Biswas and Sabuzima Nayak, “deepBF: Malicious URL detection using Learned Bloom Filter and Evolutionary Deep Learning“, Computer Communications, vol. 200, pp. 30-41, 2023 [Indexed: SCIE, Impact Factor: 6, SJR: 1.3, Q1]
  8. Lilapati Waikhom, and Ripon Patgiri, “A Survey of Graph Neural Networks in Various Learning Paradigms: Methods, Applications, and Challenges“, Artificial Intelligence Review, [Indexed: SCIE, Impact Factor: 12, SJR: 2.18, Q1]
  9. Arpita Banik, Laiphrakpam Dolendro Singh, Amit Agrawal and  Ripon Patgiri, “Secret image encryption based on chaotic system and Elliptic Curve Cryptography”, Digital Signal Processing [Indexed: SCIE, Impact Factor: 2.9, SJR: 0.99, Q1].
  10. Sabuzima Nayak, Ripon Patgiri, Lilapati Waikhom and Arif Ahmed, “A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications“, Digital Communications and Networks, [Indexed: SCIE, Impact Factor: 7.9, SJR: 1.81, Q1]
  11. Tareq Bin Ahmmed, Ripon Patgiri and Sabuzima Nayak, “A Vision on Artificial Intelligence for 6G Communication“, ICT Express, vol. 9, issue 02, pp. 197-210, [SCIE, IF: 5.4, SJR: 1.4, Q1], doi: 10.1016/j.icte.2022.05.005
  12. 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, Impact Factor: 5.6, SJR: 1.59, Q1]
  13. 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.
  14. 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
  15. 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, Impact Factor: 8.1, SJR: 2.29, Q1].
  16. 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].
  17. 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: 3.9, Indexed: SCIE, SJR: 0.93, Q1]
  18. 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: 8.7, Indexed: SCIE, SJR: 2.19, Q1]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. Dipayan Dev and Ripon Patgiri, “Dr.Hadoop : An Infinite Scalable Metadata Management for Hadoop—How the baby elephant becomes immortal!“, Springer – Frontiers of Information Technology & Electronic Engineering, Vol. 17, Issue 1, January, 2016, DOI: 10.1631/FITEE.1500015. [Selected one of the best paper among 270 published paper in FITEE from 2016-2017, and offered open access with the cost of FITEE in Springer Link]. Download PDF. [Impact Factor: 3, Indexed: SCIE, SJR: 0.73, Q2]

BOOK CHAPTERS

  1. Sabuzima Nayak and Ripon Patgiri, “geneBF: Filtering protein-coded gene graph data using Bloom filter“, Advances in Computers, vol. 129, doi: https://doi.org/10.1016/bs.adcom.2021.09.009 [SCIE, IF:3.067, SJR: 5.2, Q1].
  2. Lilapati Waikhom and Ripon Patgiri, “An empirical investigation on BigGraph using deep learning“, Advances in Computers, vol. 129, doi: https://doi.org/10.1016/bs.adcom.2021.09.007 [SCIE, IF:3.067, SJR: 5.2, Q1].
  3. U. Kartheek Chandra Patnaik and Ripon Patgiri, “MapReduce based convolutional graph neural networks: A comprehensive review“, Advances in Computers, vol. 129, doi: https://doi.org/10.1016/bs.adcom.2021.10.002 [SCIE, IF:3.067, SJR: 5.2, Q1].
  4. V. S. Nageswararo Kadilya and Ripon Patgiri, “An investigation on socio-cyber crime graph“, Advances in Computers, vol. 129, doi: https://doi.org/10.1016/bs.adcom.2021.10.011 [SCIE, IF:3.067, SJR: 5.2, Q1].
  5. Fitsum Gebreegziabher and Ripon Patgiri, “The major challenges of big graph and their solutions: A review“, Advances in Computers, vol. 129, doi: https://doi.org/10.1016/bs.adcom.2021.10.011 [SCIE, IF:3.067, SJR: 5.2, Q1].
  6. M. Franckie Singha and Ripon Patgiri, “A comprehensive investigation on attack graphs“, Advances in Computers, vol. 129, doi: https://doi.org/10.1016/bs.adcom.2021.10.010 [SCIE, IF:3.067, SJR: 5.2, Q1].
  7. Dipayan Dev and Ripon Patgiri, “A Deep Dive into the Hadoop World to explore its various performances“,  in the book “Techniques and Environments for Big Data Analysis “, in the book “Techniques and Environments for Big Data Analysis-Parallel, Cloud, and Grid Computing”, vol. 17, pp 31-51, February, 2016, ISSN: 2197-6503, publisher-Springer International Publishing, DOI: 10.1007/978-3-319-27520-8_3.
  8. Malaya Dutta Borah, Vadithya Bharath Naik, Ripon Patgiri, Aditya Bhargav, Barneel Phukan, Shiva G M Basani, (2019), “Supply Chain Management in Agriculture using Blockchain and IOT”, published in Advanced Applications of Blockchain Technology (Studies in Big Data), Springer; 1st ed. 2020 edition (12 September 2019), ISBN-10: 9811387745, ISBN-13: 978-9811387746, doi: 10.1007/978-981-13-8775-3_11
  9. Ripon Patgiri and Sabuzima Nayak, “Big Biomedical Data Engineering“, in Principles of Data Science, Springer Nature, DOI:10.1007/978-3-030-43981-1_3.
  10. 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.
 
EVENT ORGANIZATIONS

WORKSHOPS

  • NMEICT, Two weeks workshop on Introduction to Algorithm, Workshop coordinator, 25-30 May 2015.
  • National Workshop on Emerging Trends in Information Technology in University Management, As Workshop Resource Person, Date- 25 to 27th August, 2015, NIT Silchar. Talk-
    1.  “Big Challenges in Big Data: A Tale of 7Vs“,
    2. “A Modern Weapon in Learning: Learning Management System“,
    3. “Quick Academic Analysis: Management Information System“
  • Joint-coordinator, Four-days Workshop on Multi-agent System and Its Applications in Engineering, from April, 01-04, 2016
  • Coordinator, Cloud Computing and Network (Cloud-NET 2017), 11-16 March 2017.
  • Coordinator, “Deep Learning Techniques & Tools: An Academic and Industrial Approach”,  from April 8th-12th, 2019, at the Department of Computer Science & Engineering, NIT Silchar.

CONFERENCE ORGANIZED

  • General Chair, 6th International Conference on Advanced Computing, Networking, and Informatics, 04-06 June 2018, NIT Silchar.
  • General Chair, International Conference on Big Data, Machine Learning and Applications (BigDML 2019), held during 16-19 December 2019, NIT Silchar. URL: http://bigdml.nits.ac.in
  • Organizing Chair, International Conference on Modeling, Simulations and Optimizations (CoMSO 2020), held during 3-5 August 2020, NIT Silchar. URL: http://comso.nits.ac.in
  • Organizing Chair, 25th International Symposium Frontiers of Research in Speech and Music (FRSM 2020), held during 08-09 October 2020, NIT Silchar. URL: http://frsm2020.nits.ac.in
  • Organizing Chair, 26th annual International Conference on Advanced Computing and Communication (ADCOM 2020), held during 26-28 August 2020, NIT Silchar. URL: htttp://adcom.nits.ac.in/comso2020/
  • Program Chair, 2nd International Conference on Modeling, Simulations and Optimizations (CoMSO 2021), held 16-18 December 2021, NIT Silchar. URL: http://comso.nits.ac.in/comso2021/
  • Program Chair, 2nd International Conference on Big Data, Machine Learning and Applications (BigDML 2021), held during 19-20 December 2021, NIT Silchar. URL: http://bigdml.nits.ac.in
  • Program Chair, 3rd International Conference on Modeling, Simulations and Optimizations (CoMSO 2022), to be held during 21-23 December 2022, NIT Silchar. URL: http://comso.nits.ac.in
  • Program Chair, 2nd International Conference on Computer Vision, High-Performance Computing, Smart Devices and Networks (CHSN-2022), held August 20-21, 2021, JNTUK, Kakinada. http://chsn2021.info/
  • Program Chair, 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices and Networks (CHSN-2022), to be held during 28-29 December 2022, JNTUK, Kakinada. http://chsn2022.chsnresearch.in/
  • Organizing Chair, 2022 IEEE Silchar Subsection Conference (IEEE SILCON-2022), held 4-6 November 2022, NIT Silchar. https://www.ieeesilcon.in/conference-committees/organizing-committee

STUDENT GUIDANCE

PHD SCHOLARS

GUIDING

Sl. No. Name of the Scholar Status Research Area Supervision
1 Sabuzima Nayak Ongoing Bioinformatics Sole Supervisor
2 Lilapati Waikhom Ongoing  Graph Neural Networks
 Sole Supervisor
3 Fitsum Gebreegziabher Ongoing  Cloud Computing Sole Supervisor
4 Mayank Shekhar Ongoing  Biometrics Sole Supervisor
5 Franckie Singha Ongoing  SDN Sole Supervisor
6 Uriti Kartheek Chandra Patnaik Ongoing  Medical Image Sole Supervisor
7 Venkata Siva Nageswararao Kadiyala Ongoing  Online Data Streaming
 Sole Supervisor
8 Hemant Nandakishor Watane Ongoing Edge Cryptography- Public Key Infrastructure
 Sole Supervisor
9 Debandrita Roy Kundu Ongoing Blockchain Sole Supervisor
10 Ramesh Babu Mallela Ongoing Cryptography in Edge Computing- Symmetric Key Cryptography
 Sole Supervisor
11 Ramesh Repudi Ongoing ECC Joint Supervisor With Dr. Naresh Babu Muppalaneni
12 Rajesh Ravula Ongoing Edge-structured DBMS/File System
 Joint Supervisor with Dr. Laiprakpham Dolendro Singh
13 Apurva Shivaji Gomache Ongoing  Probabilistic Blockchain Joint Supervisor with Dr. Malaya Dutta Borah
14 Harikrishna Reddy Ongoing Deep Learning Security of Edge Computing Joint Supervisor with Dr. Anupam Biswas
15 Gopal Patidar Ongoing Image Processing Joint Supervisor with Dr. Dalton Meitei Thounaojam

MTECH SCHOLARS

Roll Number Name Year
 Project Title
13-2-5-104 Dipayan Dev 2015 Dr. Hadoop: Giving wings to the Baby Elephant- An Infinite Scalable Metadata Management for Hadoop
14-2-5-105 Dhananjay Kuamr Singh 2016 Large Scale Graph Processing with Apache Giraph
15-2-5-105 Rajdeep Das 2017 PowerScheduler: A MapReduce Scheduler
15-2-5-115 Rohit Pratap Singh 2017 A Study of MapReduce-based Spatial Overlay Join for Large-Scale Computation
16-2-5-106 Sabuzima Nayak 2018
 JumboMDS: A Large-Scale Metadata Server
17-2-5-112 Deepali Jain 2019 Finding Frequency of Motif in Big Graph.
Partha Pratim Barman 2022 UAV Detection using Deep Learning
21-2-22-12 Madhurjya Deka 2023 Detecting Traffic Rule Violation of E-Rickshaw using Deep Learning