Dr. Naresh Babu Muppalaneni

Dr. NARESH BABU MUPPALANENI, SMIEEE

Associate Professor,

Department of Computer Science and Engineering,

IIITDM Kurnool.

Email: nareshbabu [at] iiitk.ac.in | nareshmuppalaneni@ieee.org Mobile Number: 8897165555

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

  • Machine Learning

  • Cryptography

  • Bioinformatics

Research Projects

  • Principal Investigator for “DeepDroughtUAV: Deep learning based estimation of drought area in the Anantapur Cluster using UAV Surveillance” funded by APSCHE for 2 years   Rs. 10.00 lakhs [Ongoing]

  • Principal Investigator for “Design, Development and automation of cyber attacks Funded by C-DAC, Noida  Amount Rs. 5,00,000/- 2024” (Consultancy Project)

  • 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]

  • Principal Investigator for “Design, Development and automation of cyber attacks Funded by C-DAC, Noida  Amount Rs. 5,00,000/- 2024” (Consultancy Project)


Patents

  • 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

Achievements

  • 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

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 Associate Professor in IIITDM Kurnool, Kurnool from 27th October 2023 to till date

  • Worked as Assistant Professor in National Institute of Technology, Silchar from 9th July 2019 to 26th October 2023.

  • 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

Administrative Responsibilites

  • Faculty In-charge, ERP during 25.11.2021 to 26.10.2023.

  • Member, Departmental Undergraduate Program Committee during 17.09.2021 to 26.10.2023.

  • Departmental Coordinator, Spoken Tutorial during 19.09.2019 to 26.10.2023.

  • Member, Deparmental Purchase Committe during 21.08.2019 to 20.08.2021

Publications

Books

  1. Ruchika Malhotra, L. Sumalatha, S. M. Warusia Yassin, Ripon Patgiri, Naresh Babu Muppalaneni "High Performance Computing, Smart Devices and Networks(Select Proceedings of CHSN 2022)" Lecture Notes in Electrical Engineering, Springer 2023. https://doi.org/10.1007/978-981-99-6690-5

  2. Ripon Patgiri, Sabuzima Nayak, Naresh Babu Muppalaneni "Bloom Filter A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics and Beyond" Elsevier, ISBN: 9780128235201

  3. Shyamapada Mukherjee, Naresh Babu Muppalaneni, Sukriti Bhattacharya, Ashok Kumar Pradhan "Intelligent Systems for Social Good- Theory and Practice" Springer, ISBN 978-981-19-0772-2

  4. Ch. Satyanarayana, Xiao-Zhi Gao, Choo-Yee Ting, Naresh Babu Muppalaneni "Machine Learning and Internet of Things for Societal Issues" , Springer, ISBN 978-981-16-5092-5

  5. Naresh Babu Muppalaneni, Maode Ma, Sasikumar Gurumoorthy, “Soft Computing and Medical Bioinformatics” SpringerBriefs in Forensic and Medical Bioinformatics,2018 DOI 10.1007/978-981-13-0059-2, ISBN 978-981-13-0059-2

  6. Gurumoorthy, Sasikumar, Muppalaneni, Naresh Babu, Gao, Xiao-Zhi, “Computational Intelligence Techniques in Diagnosis of Brain Diseases” SpringerBriefs in Forensic and Medical Bioinformatics, 2017,DOI 10.1007/978-981-10-6529-3, ISBN 978-981-10-6528-6

  7. Muppalaneni, Naresh Babu, Gunjan, Vinit Kumar, “Computational Intelligence Techniques for Comparative Genomics”, Springer Briefs in Forensic and Medical Bioinformatics, 2015, ISBN 978-981-287-338-5

  8. Muppalaneni, Naresh Babu, Gunjan, Vinit Kumar, “Computational Intelligence in Medical Informatics”, Springer Briefs in Forensic and Medical Bioinformatics, 2015, ISBN: 978-981-287-260-9

  9. Kashyap, Amita, Bujamma, D., Babu M, Naresh “Bioinformatics of Non Small Cell Lung Cancer and the Ras Proto-Oncogene”, Springer Briefs in Forensic and Medical Bioinformatics , 2016, DOI 10.1007/978-981-4585-07-1

  10. Naresh Babu Muppalaneni, “Computational Study on Protein-Ligand Interactions for Anti-Diabetic”, LAP Lambert Academic Publishing,2012, ISBN 978-3659104817

Journals

  1. Rashmi Pathak, Badal Soni, Naresh Babu Muppalaneni, Muhammet Deveci "Interval-valued q-rung orthopair fuzzy complex proportional assessment-based approach and its application for evaluating the factors of Blockchain Technology in various domains", Journal of Industrial Information Integration, 2024, https://doi.org/10.1016/j.jii.2024.100718. Impact Factor: 10.4

  2. Dutta, P., Naresh Babu Muppalaneni "A top-down character segmentation approach for Assamese and Telugu handwritten documents" Journal of  Ambient Intelligence Humanized Computing (2024) https://doi.org/10.1007/s12652-024-04805-y

  3. S. Berlin Shaheema, Suganya Devi K., Naresh Babu Muppalaneni, Explainability based Panoptic brain tumor segmentation using a hybrid PA-NET with GCNN-ResNet50, Biomedical Signal Processing and Control, Volume 94, 2024, 106334, Impact Factor 5.1

  4. Rashmi Pathak, Badal Soni, Naresh Babu Muppalaneni, Arunodaya Raj Mishra Multi-criteria group decision-making method based on einstein power operators, distance measure, additive ratio assessment, and interval-valued q-rung orthopair fuzzy sets. Granular Computing 9, 14 (2024). https://doi.org/10.1007/s41066-023-00430-w. Impact Factor 5.5

  5. Nageshwar Nath Pandey, Naresh Babu Muppalaneni “Strabismus free gaze detection system for driver’s using deep learning technique” Progress in Artificial Intelligence (2023). Springer SCOPUS https://doi.org/10.1007/s13748-023-00296-8
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85147124861&partnerID=MN8TOARS

  6. Nageshwar Nath Pandey, Naresh Babu Muppalaneni “Dumodds: Dual modeling approach for drowsiness detection based on spatial and spatio-temporal features” Engineering Applications of Artificial Intelligence, Elsevier SCIE IF 7.8 https://doi.org/10.1016/j.engappai.2022.105759
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85145260573&partnerID=MN8TOARS

  7. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85135785602&partnerID=MN8TOARS

  8. 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
    https://doi.org/10.21817/indjcse/2022/v13i2/221302125
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85129304365&partnerID=MN8TOARS

  9. 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 Indexed, IF: 2.757 https://doi.org/10.1007/s11042-022-13150-1
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85130048273&partnerID=MN8TOARS

  10. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85128214513&partnerID=MN8TOARS

  11. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85116598680&partnerID=MN8TOARS

  12. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85107869088&partnerID=MN8TOARS

  13. 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 
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85105400406&partnerID=MN8TOARS

  14. 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
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075133786&partnerID=MN8TOARS

  15. 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
    https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070064479&partnerID=MN8TOARS

  16. 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
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85056204653&origin=inward

  17. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85053031948&partnerID=MN8TOARS

  18. 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,
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85039558766&partnerID=MN8TOARS

  19. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85039545193&partnerID=MN8TOARS

  20. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85093719296&partnerID=MN8TOARS

  21. 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)

  22. 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,
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85028829626&partnerID=MN8TOARS

  23. 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)

  24. 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)

  25. 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)

  26. 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)

  27. 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)

  28. 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

  29. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-80053084065&partnerID=MN8TOARS

  30. 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)

  31. 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)

  32. 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

Conferences

  1. C. Prathima and Naresh Babu Muppalaneni, "A Novel Framework for Handling Duplicate Images using Hashing Techniques," 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bengaluru, India, 2023, pp. 984-991, doi: 10.1109/ICIMIA60377.2023.10425973.

  2. Algabri, H.K., Kamat, R.K., Kharade, K.G., Naresh Babu Muppalaneni (2024). Design and Development of a Chatbot for Personalized Learning in Higher Education. In: Malhotra, R., Sumalatha, L., Yassin, S.M.W., Patgiri, R., Muppalaneni, N.B. (eds) High Performance Computing, Smart Devices and Networks. CHSN 2022. Lecture Notes in Electrical Engineering, vol 1087. Springer, Singapore. https://doi.org/10.1007/978-981-99-6690-5_22

  3. R. Pathak, B. Soni and Naresh Babu Muppalaneni, "Multi-Criteria Decision-Making Methods in Healthcare Using Blockchain," 2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), Hamburg, Germany, 2023, pp. 562-570, doi: 10.1109/ICCCMLA58983.2023.10346797

  4. Dutta, P., Naresh Babu Muppalaneni (2023). Optical Character Recognition and Text Line Recognition of Handwritten Documents: A Survey. In: Tripathi, A.K., Anand, D., Nagar, A.K. (eds) Proceedings of World Conference on Artificial Intelligence: Advances and Applications. WWCA 1997. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-5881-8_41

  5. D. Samarpana U, N. Deb, Naresh Babu Muppalaneni and P. D. Gupta, “Computer Vision Based Car Overtaking Advisory,” 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), Sonbhadra, India, 2023, pp. 662-667, doi: 10.1109/AIC57670.2023.10263928. IEEEXplore (2023)

  6. Berlin. S. S and Naresh Babu Muppalaneni, “Automated Multimodal Brain Tumor Classification Using a YOLOv7 Approach,” 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), Rome, Italy, 2023, pp. 35-40, doi: 10.1109/CoDIT58514.2023.10284388. IEEEXplore (2023)

  7. 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.http://www.scopus.com/inward/record.url?eid=2-s2.0-85168315668&partnerID=MN8TOARS

  8. P. 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.

  9. Rashmi Pathak , Badal Soni, Naresh Babu Muppalaneni (2023). Role of Blockchain in Health Care: A Comprehensive Study. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Lecture Notes in Networks and Systems, vol 540. Springer, Singapore. https://doi.org/10.1007/978-981-19-6088-8_13
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85149836298&partnerID=MN8TOARS

  10. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85147847969&partnerID=MN8TOARS

  11. Berlin. S. S and Naresh Babu Muppalaneni, “Panoptic Image Segmentation through Unet combined with Melody Search Optimization Algorithm for the Realistic Scene Image Understanding,” 2022 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE), Bangalore, India, 2022, pp. 1-6, doi: 10.1109/ICWITE57052.2022.10176247. IEEEXplore (2022)

  12. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85137139165&partnerID=MN8TOARS

  13. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85138095656&partnerID=MN8TOARS

  14. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85135816177&partnerID=MN8TOARS

  15. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85133433661&partnerID=MN8TOARS

  16. 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.
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85131949698&partnerID=MN8TOARS

  17. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85127819890&partnerID=MN8TOARS

  18. 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.
     http://www.scopus.com/inward/record.url?eid=2-s2.0-85126427804&partnerID=MN8TOARS

  19. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85105020585&partnerID=MN8TOARS

  20. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85104672707&partnerID=MN8TOARS

  21. Ch. Prathima, Naresh Babu Muppalaneni “Deep Learning Approach for Prediction of Handwritten Telugu Vowels” Smart Innovation, Systems and Technologies, Springer (2021)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85104775433&partnerID=MN8TOARS

  22. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85107382600&partnerID=MN8TOARS

  23. 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)

  24. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85100761858&partnerID=MN8TOARS

  25. 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
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85085469757&partnerID=MN8TOARS

  26. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85085162653&partnerID=MN8TOARS

  27. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85079632841&partnerID=MN8TOARS

  28. 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)
     http://www.scopus.com/inward/record.url?eid=2-s2.0-85083651560&partnerID=MN8TOARS

  29. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85083640672&partnerID=MN8TOARS

  30. 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)
    http://www.scopus.com/inward/record.url?eid=2-s2.0-85083639312&partnerID=MN8TOARS

  31. 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
    http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85056427140&origin=inward

  32. 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
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85056376202&origin=inward

  33. M. Naresh Babu, R. Bhramarambha and Allam Appa Rao, “Structure Based Drug Design Studies on Urokinase Plasminogen Activator Inhibitors using AutoDock” ACM proceedings, 2012
    http://www.scopus.com/inward/record.url?eid=2-s2.0-84870700236&partnerID=MN8TOARS

  34. Naresh Babu Muppalaneni, AllamAppaRao, Poorna Satyanarayana “Web based Integrated Protein Analysis Tool” International Conference Organized By CSI Jan 2012

  35. 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

  36. 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. Nath, M., Goswami, A., Suman, S., Agarwalla, R., Venkateswarlu, B., Borah, M. D., & Muppalaneni, N. B. (2023). Development of EHR Using Blockchain Technology. In Revolutionizing Digital Healthcare Through Blockchain Technology Applications (pp. 74-96). IGI Global. https://doi.org/10.4018/978-1-6684-6509-7.ch004
     http://www.scopus.com/inward/record.url?eid=2-s2.0-85162867296&partnerID=MN8TOARS

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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”   IntechOpen, https://doi.org/10.5772/intechopen.93180 (2020)

Dataset

  1. Naresh Babu Muppalaneni, Repudi Ramesh, November 29, 2019, “Handwritten Telugu Gunintam క (Ka)”, IEEE Dataport, doi: https://dx.doi.org/10.21227/phg6-m127.

  2. 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

  3. 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.