Dr. Naresh Babu Muppalaneni


Dr. Naresh Babu Muppalaneni, SMIEEE

Assistant Professor


Mobile: 8897165555

Room No: CC14, Ground Floor, Department of Computer Science & Engineering

NIT Silchar, Cachar District, Assam- 788010


Academic Qualifications

  • B.Tech. in Computer Science and Engineering from Andhra University, 2003
  • M.Tech. in Information Technology from Andhra University, 2006
  • Ph.D. in Computer Science and Engineering from Acharya Nagarjuna University, 2012

Areas of Interest

  • Artificial Intelligence
  • Machine Learning
  • Cloud Computing
  • Internet of Things (IoT)
  • Cryptography
  • Bioinformatics

Research Projects

  • Co-Chief Investigator for “Capacity building for human resource development in Unmanned Aircraft System (Drone and related Technology)” funded by MEITY for 5 years Rs. 150.91 lakhs [Ongoing]
  • Co-Investigator for “Intelligent System Classify Human Brain Signals for Finding Brain Diseases” funded by DST under CSRI for 3 years Rs. 23,78,000 [Completed]
  • Principal Investigator for “Software tools for Satisfiability Modulo Theory solvers based cryptanalysis” funded by DRDO for 2 years Rs 144.33 lakhs [Completed]
  • Principal Investigator for “Identifying Single drug multiple drugs for diabetes mellitus” funded by SERB-DST (Young Scientist Scheme) for 3 years Rs 19.88 lakhs [Completed]


Title of the invention: Intelligent Shopping Assistance and In-Store Navigation using Aerial Drones
Publication Date : 30/11/2018      Application No. 201841044312 (Indian Patent)
Inventors: Dr. J. Avanija, Dr. Gurram Sunitha, Dr.K.Reddy Madhavi, Dr. Naresh Babu Muppalaneni
Title of the invention: Rapid plastic detection in sea shore using Convolutional Neural Networks in Autonomous cleaning vehicle
Date of Grant: 31.03.2021           Patent number: 2021100484 (Australian Patent)
Inventors: Patchikolla, Satheesh; Muppalaneni, Naresh Babu; Jagadesh, B.N.; Akula, Chandra Sekhar and Raja, D R Kumar



  • Received Elite+Gold Medal Certificate from NPTEL for the course on Introduction to Programming in C, All India Topper, October 2018
  • Received Elite+Gold Medal Certificate from NPTEL for the course on Cryptography and Network Security, Topper, April 2019
  • Recipient of Best Teacher Award from JNTU Kakinada.
  • Qualified in UGC NET with 99.4%ile

Subjects Handled / Handling

  • Data Structures
  • Compiler Design
  • Theory of Computation
  • Web Technologies
  • Programming in C
  • Cryptography
SlNo Subject Name Semester Duration
1 Data Structures
CS 201
3rd Semester B.Tech Odd Semester 2019
2 Design and Analysis of Algorithms
6th Semester B.Tech Even Semester 2020
3 Foundations of Cryptography
2nd Semester M.Tech Even Semester 2020
4 Advanced Algorithms and Data Structures
1st Semester M.Tech Odd Semester 2020
5 Introduction to Programming CS101 1st Semester B.Tech Odd Semester 2020
6 Introduction to Programming CS101 2nd Semester B.Tech Even Semester 2021
7 Web Technology
CS 481
7th Semester B.Tech Odd Semester 2021
9 Machine Learning for Cyber Security CS 5253 2nd semester M.Tech Even Semester 2022
10 Cryptography and Security
CS 434
7th Semester B.Tech Odd Semester 2022
11 Data Structures
CS 201
3rd Semester B.Tech Odd Semester 2022


Professional Memberships

  • Fellow, The Institution of Electronics and Telecommunication Engineers (IETE)
  • Life Member of Computer Society of India
  • Life Member of Indian Science Congress Association (ISCA)
  • Life Member of Cryptology Research Society of India (CRSI)
  • Senior Member of The Institute of Electrical and Electronics Engineers (IEEE)

Short Term Courses/ Workshops/ Conferences Organized (as Convener/Co-ordinator)

  • SERB Karyashala One Week Hands-on Training and Workshop on Computational Biology and Bio-Medical Informatics   during 25-31, July 2022 funded by SERB under Accelerate Vigyan
  • One Week Online Faculty Development Programme on “Research Avenues in Machine Learning and AI for Societal Issues” during 14-18, March 2022 Sponsored by AICTE
  • One Week Online Faculty Development Programme on “Moodle Learning Management System” during 19-25, July 2021 in association with Spoken Tutorial Project undertaken by IIT Bombay
  • One Week Online International Faculty Development Programme on “Machine Learning and Computer Vision: Applications, Research Challenges” during 24-28, August 2020 under TEQIP-III
  • One Week Faculty Development Programme on “Cyber Security” during 14th October to 19th October 2019 jointly with Shivaji University, Kolhapur under PMMMNMTT and TEQIP-III
  • One Week Faculty Development Programme on “New Directions in Cryptography and Applications to Cyber Security” during 27th May 2019 to 01st June 2019 in association with E&ICT Academy, NIT Warangal
  • Indian Cyber Congress during 28-29, September 2018 jointly with NCSSS
  • 2nd International Conference on “Cognitive Science and Artificial Intelligence” during 04-05, January 2018 funded by AICTE F.No. 67-33/RIFD/GOC/POL-1/2016-17, Dated 05/06/2017
  • International Conference on “Cognitive Science and Artificial Intelligence” during 05-07, July 2017 funded by SERB-DST
  • A three day FDP on Cryptography: Foundations and New Directions in Research” during 16-18, February 2017 under TEQIP-II
  • Two day Workshop Recent Advances in Bioinformatics and Medical Image analysis funded by SERB-DST SB/SS/623/2016-17
  • DNA 2013 5th International Conference on “Emerging trends in applied biology, Biomedicine and Bioforensics” funded by DST SB/SS/681/13-14
  • “New Frontiers in treating and preventing diabetic retinopathy” sponsored by DST (SR/SS/1475/12-13), 2013
  • “DNA-2012 4th International Conference on Innovations in the changing world” sponsored by DST (SR/SS/955/12-13), 2012

Teaching Experience

  • Working as Assistant Professor in National Institute of Technology, Silchar from 9th July 2019 to till date
  • Worked as Associate Professor in Sree Vidyanikethan Engineering College (Autonomous), Tirupati from 1st June 2016 to 06th July 2019
  • Worked as Assistant Professor in C R Rao Advanced Institute of Mathematics, Statistics and Computer Science from 2nd June 2012 to 31st May 2016



9789811300585  9789811065286-1  9789812872593  9789812873378

9789814585071 978-981-16-5090-1 978-981-19-0770-8



  1. Agarwal, S., Naresh Babu Muppalaneni Portfolio optimization in stocks using mean–variance optimization and the efficient frontier. Int. j. inf. tecnol. (2022). Springer SCOPUS  https://doi.org/10.1007/s41870-022-01052-2
  2. Ravi, N.Ch., Naresh Babu Muppalaneni, Dr. A. Govardhan, Joshi Padma, N. Smart Security Controls for Strikers for Dynamic Computing Models, Indian Journal of Computer Science and Engineering, 13(2), pp 456-466, 2022 SCOPUS indexed



  3. Nageshwar Nath Pandey, Naresh Babu Muppalaneni A survey on visual and non-visual features in Driver’s drowsiness detection. Multimedia Tools Applications. Springer (2022). SCIE IndexedIF: 2.757 https://doi.org/10.1007/s11042-022-13150-1
  4. 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 IndexedIF: 5.6  https://doi.org/10.1007/s00521-022-07209-1
  5. Nageshwar Nath Pandey, Naresh Babu Muppalaneni “A novel algorithmic approach of open eye analysis for drowsiness detection” International Journal of Information Technology, Springer(2021), SCOPUS https://doi.org/10.1007/s41870-021-00811-x
  6. 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
  7. 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  
  8. Badal Soni, Anji Reddy. V, Naresh Babu Muppalaneni, Candy Lalrempuii “Image Forgery Detection using AKAZE Keypoint Feature Extraction and Trie Matching” International Journal of Innovative Technology and Exploring Engineering (IJITEE),pp 2208-2213, Volume-9 Issue-1, November 2019 SCOPUS indexed
  9. Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, Chandra Sekhar, Golla Sandhya Kumari “Epilepsy analysis using open source EDF tools for information science and data analytics” International Journal of Communication Systems, Wiley, August 2019 https://doi.org/10.1002/dac.4095 SCI Indexed, Impact Factor: 1.319 
  10. Ashraf Ali Shaik, Ch Prathima, Naresh Babu Muppalaneni “A Computational Approach to Predict Diabetic Retinopathy Through Data Analytics” Internet of Things and Personalized Healthcare Systems, SpringerBriefs in Applied Sciences and Technology. Springer, Singapore, 2018
  11. B.Rakesh, T. Kavitha, K.Lalitha, K. Thejaswi and Naresh Babu Muppalaneni “Cognitive State Classifiers for Identifying Brain Activities” Computational Intelligence and Big Data Analytics. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore, 2018
  12. P.V. Parvati Sai Arun, G. Apparao Naidu, Allam Appa Rao and Naresh Babu Muppalaneni “Computational Prediction of Ligands with Multiple Protein Targets Involved in Type II Diabetes” Cognitive Science and Health Bioinformatics, SpringerBriefs in Forensic and Medical Bioinformatics,2018,
  13. Naresh Babu Muppalaneni, K Lalitha, Gurumoorthy, Sasikumar “Identification of critical genes in autism disorder using centrality measures” Cognitive Science and Health Bioinformatics, SpringerBriefs in Forensic and Medical Bioinformatics,2018
  14. K. Vishnu Priyanka, M. Gowthami, O. Susmitha, G. Prathyusha, Naresh Babu Muppalaneni “BREAKING MIGNOTTE’S SEQUENCE BASED SECRET SHARING SCHEME USING SMT SOLVER” International Journal of Computer Science & Information Technology (IJCSIT) Vol 9, No 6, December 2017 DOI:10.5121/ijcsit.2017.9603
  15. Ch.Prathima, Ch.Sreenu Babu, Naresh Babu Muppalaneni, Kishore C “Using large scale deep learning method to predict punctuations in telugu language” 2017,  Helix Vol. 7(5): 2025-2028, ISSN 2319 – 5592(UGC Listed, Web of Science)
  16. Duggineni Kalyani, Naresh Babu Muppalaneni, Ch Ambedkar,  Kiran Kumar Reddi “Identification of Drug Targets from Integrated Database of Diabetes Mellitus Genes Using Protein-Protein Interactions” Springer Briefs in Applied Sciences and Technology,2016, pp 83-86,
  17. Chintagunta Ambedkar, Kiran Kumar Reddi, Naresh Babu Muppalaneni & Duggineni Kalyani, “Application of centrality measures in the identification of critical genes in diabetes mellitus” Bioinformation 11(2): 090-095 (2015) doi: 10.6026/97320630011090 Impact Factor: 1.15 (UGC Listed, Web of Science)
  18. Naresh Babu Muppalaneni,  Allam Appa Rao, “A tool for the post data analysis of screened compounds derived from computer-aided docking scores” Bioinformation Bioinformation 9(4): 207-209 (2013) doi: 10.6026/97320630009207 Impact Factor: 1.15 (UGC Listed, Web of Science)
  19. Phani Kumar Yadla, Allam Appa Rao, Swaroopa A Rani and Naresh M Babu. Article: Virtual Screening of Dipeptidyl Peptidase IV Inhibitors from Zinc Database. International Journal of Computer Applications 56(8):31-34, October 2012. Published by Foundation of Computer Science, New York, USA. doi: 10.5120/8912-2959, Impact Factor: 0.835 (Google Scholar)
  20. Naresh Babu Muppalaneni, AllamAppaRao, “Virtual screening of plant derived compounds for aldose reductase inhibition using molecular dockings” , Bioinformation 8(20): 980-983 (2012) doi: 10.6026/97320630008980, Impact Factor: 1.15 (UGC Listed, Web of Science)
  21. Naresh Babu Muppalaneni, AllamAppaRao “Computational Investigation On Anti Cancer Compounds Against Aldose Reductase As Anti Diabetic Agents” International Journal Of Computer Applications (0975 – 8887) Volume 31– No.2, October 2011, doi : 10.5120/3795-5226 Impact Factor: 0.835 (Google Scholar)
  22. Naresh Babu Muppalaneni “Virtual Screening And Molecular Docking Analysis Of Zap-70 Kinase Inhibitors” International Journal Of Chemical And Analytical Science, 2011, 2(9), 1208-1211 ISSN: 0976-1206
  23. Naresh Babu Muppalaneni And AllamAppaRao “COMPUTATIONAL ANALYSIS ON ZINC DATABASE AGAINST ALDOSE REDUCTASE AS ANTI DIABETIC” Journal Of Theoretical And Applied Information Technology September 2011. Vol. 31 No.1 ISSN: 1992-8645
  24. Naresh Babu Muppalaneni And AllamAppaRao “PDBToSDF: Create Ligand Structure Files From PDB File” Bioinformation 6(10): 383-386 (August 2011) ISSN 0973-2063, Impact Factor: 1.15 (UGC Listed, Web of Science)
  25. M.Naresh Babu, PatchikollaSatheesh, DattaTeja R S Grandhi And Prof. AllamAppaRao, Comparative Study Of Ligand Docking, International Journal Of Computer Applications 6(1):36–39, September 2010., Impact Factor: 0.835 (Google Scholar)
  26. Patchikolla Sateesh , Prof. Allam AppaR ao, Suresh Kumar Sangeeta , M.Naresh Babu, R.S. Datta Teja Grandhi HOMOLOGY MODELLING AND SEQUENCE ANALYSIS OF AnxC3.1,International Journal Of Engineering Science & Technology, ISSN: 0975-5462, Vol. 2(5), 2010, 1125-113, May 2010


  1. R. Patgiri and Naresh Babu Muppalaneni, “Stealth: A Highly Secured End-to-End Symmetric Communication Protocol,” 2022 International Symposium on Networks, Computers and Communications (ISNCC), 2022, pp. 1-8, doi: 10.1109/ISNCC55209.2022.9851810. IEEEXplore (2022)
  2. P. 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)
  3. Dutta, P., 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
  4. S. Agarwal and Naresh Babu Muppalaneni, “Stock Market Price and Cryptocurrency Price Prediction,” 2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 2022, pp. 1-6, doi: 10.1109/ICDCECE53908.2022.9793088.  IEEEXplore (2022)
  5. D. R. Kumar Raja, G. Hemanth Kumar and Naresh Babu Muppalaneni, “Data Analysis on Wireless Services using Twitter Data set,” 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), 2022, pp. 1670-1673, doi: 10.1109/ICOEI53556.2022.9777209.
  6. Gundaram, P.K., Tentu, A.N., Muppalaneni, N.B. (2022). Cryptanalysis of SIMON (32/64) Cipher Using Satisfiability Modulo Theories. In: Satyanarayana, C., Samanta, D., Gao, XZ., Kapoor, R.K. (eds) High Performance Computing and Networking. Lecture Notes in Electrical Engineering, vol 853. Springer, Singapore. https://doi.org/10.1007/978-981-16-9885-9_27
  7. 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.
  8. 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) 
  9. Praveen Kumar Gundaram, Appala Naidu Tentu, Naresh Babu Muppalaneni, “Performance of various SMT Solvers in Cryptanalysis” 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS),  https://doi.org/10.1109/ICCCIS51004.2021.9397110, IEEEXplore (2021)
  10. Ch. Prathima, Naresh Babu Muppalaneni “Deep Learning Approach for Prediction of Handwritten Telugu Vowels” Smart Innovation, Systems and Technologies, Springer (2021) 
  11. Naresh Babu Muppalaneni, Ch. Prathima “A Secure Smart Shopping Cart Using RFID Tag in IoT”  Proceedings of International Conference on Sustainable Expert Systems(ICSES2020), Lecture Notes in Networks and Systems, pp701-712, Springer  (2021) 
  12. Naresh Babu Muppalaneni, Ripon Patgiri “Malware Detection Using Machine Learning Approach”  Proceedings of International Conference on Big Data, Machine Learning and Applications(BigDML2019), Lecture Notes in Networks and Systems, pp219-225, Springer (2021)
  13. Ripon Patgiri, Sabuzima Nayak, Naresh Babu Muppalaneni “Is Bloom Filter a Bad Choice for Security and Privacy?” 2021 International Conference on Information Networking (ICOIN), IEEEXplore (2021) 
  14. Sasikumar Gurumoorthy, Naresh Babu Muppalaneni,G. Chandra Sekhar, and G. Sandhya Kumari “Artificial Intelligence Systems and Expert Systems: An Overview of Recent Trends and Roles in Information Science and Data Analytics” Lecture Notes in Electrical Engineering, Springer 2020 https://doi.org/10.1007/978-981-15-1420-3_184
  15. Naresh Babu Muppalaneni, “Handwritten Telugu Compound Character Prediction using Convolutional Neural Network,” 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India, 2020, pp. 1-4 , https://doi.org/10.1109/ic-ETITE47903.2020.349, IEEEXplore (2020)
  16. Sasikumar Gurumoorthy, Naresh Babu Muppalaneni, G. Chandra Sekhar, G. Sandhya Kumari “Implementation of Signal Processing Algorithms on Epileptic EEG Signals” Emerging Research in Data Engineering Systems and Computer Communications, Advances in Intelligent Systems and Computing, pp 367-376, https://doi.org/10.1007/978-981-15-0135-7_35 Springer (2020)
  17. T. Kavitha, O. Rajitha, K. Thejaswi, Naresh Babu Muppalaneni “Classification of Encryption Algorithms Based on Ciphertext Using Pattern Recognition Techniques” Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI – 2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer (2020)
  18. Sasikumar Gurumurthy, Naresh Babu Muppalaneni, G. Chandra Sekhar “Methods for Finding Brain Diseases Like Epilepsy and Alzheimers” Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI – 2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer (2020) 
  19. N. Ch. Ravi, Naresh Babu Muppalaneni,R. Sridevi,V. Kamakshi Prasad,A. Govardhan,Joshi Padma “Advanced Access Control Mechanism for Cloud Based E-wallet” Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI – 2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer (2020)
  20. N CH Ravi, M Naresh Babu, R Sridevi, V Kamakshi Prasad, A Govardhan, Padma N Joshi “Inspecting Access Controls in Cloud Based Web Application” IEEE International Conference on Computing Methodologies and Communication (ICCMC 2018) 15-16, February 2018
  21. Naresh Babu Muppalaneni, Chilaka Pavan, G Sai Nithin Chowdary, Koppa Sai Teja, Kamalapati Yugendhar “Runtime Analysis on Open Source Technologies” IEEE International Conference on Computing Methodologies and Communication (ICCMC 2018) 15-16, February 2018
  22. M. Naresh Babu, R. Bhramarambha and Allam Appa Rao, “Structure Based Drug Design Studies on Urokinase Plasminogen Activator Inhibitors using AutoDock” ACM proceedings, 2012 
  23. Naresh Babu Muppalaneni, AllamAppaRao, Poorna Satyanarayana “Web based Integrated Protein Analysis Tool” International Conference Organized By CSI Jan 2012
  24. Naresh Babu Muppalaneni And AllamAppaRao “Computational Analysis On Cuminum Cyminum Compounds Against Aldose Reductase As Anti-Diabetic Agents” 2011 International Conference On Bioinformatics And Computational Biology (July 18-21, 2011, Las Vegas, USA) ISBN:1-60132-169-4
  25. M.Naresh Babu, Palika Harikanth, P Pavan Krishna Chaitanya, Microarray And Gene Expression : Applications And Challenges,International Conference On Bioinformatics & Diabetes Mellitus, March 2006, 215-218

Book Chapters

  1. 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
  2. Katkar S.V., Kharade K.G., Kharade S.K., Muppalaneni N.B., Vengatesan K., Kamat R.K. (2022) Implementation of ANN for Examining the Electrical Parameters of Cadmium Sulfide Solar Cell. 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_12
  3. 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 2022 https://doi.org/10.4018/978-1-7998-9606-7.ch009
  4. 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.   http://doi.org/10.4018/978-1-7998-7685-4.ch004
  5. Sasikumar Gurumoorthy, Naresh Babu Muppalaneni and G. Sandhya Kumari “EEG Signal Denoising Using Haar Transform and Maximal Overlap Discrete Wavelet Transform (MODWT) for the Finding of Epilepsy”   IntechOpenhttps://doi.org/10.5772/intechopen.93180 (2020)


  1. Naresh Babu Muppalaneni, Prathima Chilukuri, D R Kumar Raja, “Telugu Handwritten Vowels”, IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/hrkp-ba24. Uploaded: Oct. 08, 2019
  2. Prarthana Dutta, Naresh Babu Muppalaneni, “Assamese Handwritten Digits”, IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/n441-bk63. Uploaded: Nov. 06, 2019.