Qualification :

PhD in Computer Engineering, Savitribai Phule Pune University, 2012

Experience:

25 years of teaching experience and 7years of industry and research experience

Research Interest/Area:

• Computer Vision and Deep Learning
• Social Networks and Media Analysis
• Data mining and Machine Learning
• Big Data Analytics
• Natural Language Processing

Recent Teachings: (last three years teaching specified): A.Y. 2023-24

Semester I: Topics in Database (F.Y. MTech), Database Management System(T.Y. BTech)
Semester II: Data Mining and Machine Learning (F.Y. MTech)

Current Advises :

Programme	Name	Roll No	Joining Date
PhD	Sayali Prakash Shinde	812203009	3/2/2023
	Aashna Rukhsar Mohammas Ashfaque	812203001	3/2/2023
MTech	Rutvik Devendra Choudhari

Awards & Recognition

• Best Paper Award International Conference ICSCI-2011 and ICCNCT-2019
• Unique Research Award at International Conference CUBE-2012

Funded Projects:

• Received a grant of Rs. 80,00,000/- from IDEAS, Technology Innovation Hub, ISI Kolkata for the project on “Data Curation for Video Surveillance and Precision Agriculture Datasets” in July 2022 as a Principal Investigator

• “Data Mining and Intelligent Data Analysis”, Project funded by All India Council of Technical Education, New Delhi (RPS) (Rs.3,30,000/)

• “Data Mining Centre”, Project funded by All India Council of Technical Education, New Delhi (MODROB) (Rs. 7,00,000/)

• “Mining Critical Patterns from Massive and Diverse Data”, Project funded by BRNS Secretariat, Department of Atomic Energy, Government of India (Rs. 18,50,000/)

• AICTE grants for FDP(Rs 7,00,000/)

• Board of Research in Nuclier Sciences(BRNS) grants of Rs.1,00,000/- for the conference organization(CAST-2016)

• Actionable Image Insides Using Deep Learning Technique, Funded by Pattern Technologies, grant received 22,50,000/-

• Influencer Identification using natural language and deep learning techniques, Funded by Pattern Technologies, grant received 22,50,000/-

Publications

Patents

1. Patent Application No: 202141007545.

Title of the invention: Voice Controlled Writing Instrument Using Machine Learning

Status: Published on 26/02/2021

2. Patent Application No: 202221047823

Title of the invention: Systems and Methods for Localizing Moments, In Surveillance Videos, Using Natural Language Queries

Status: Published on 23/02/2024

3. Application Number: 202321039715

Title of the invention: A Computer Vision based Security Surveillance Software

Status: Published on 25/8/2023

Book Chapters

1. K. Pawar, V. Attar, “Assessment of Autoencoder Architectures for Data Representation,” in Deep Learning: Concepts and Architectures, W. Pedrycz and S.-M. Chen, Eds. Cham: Springer International Publishing, 2020, pp. 101–132. DOI: https://doi.org/10.1007/978-3-030-31756-0_4

2. A. Kunte, V. Attar, “Progress in Neural Network Based Statistical Language Modeling,” in Deep Learning: Concepts and Architectures, W. Pedrycz and S.-M. Chen, Eds. Cham: Springer International Publishing, 2020, pp. 321–339. DOI: https://doi.org/10.1007/978-3-030-31756-0_11

International Conferences

1. Patil, A., Ghumbre, S., Attar, V. (2023). Named Entity Recognition over Dialog Dataset Using Pre-trained Transformers. In: Sharma, N., Goje, A., Chakrabarti, A., Bruckstein, A.M. (eds) Data Management, Analytics and Innovation. ICDMAI 2023. Lecture Notes in Networks and Systems, vol 662. Springer, Singapore. https://doi.org/10.1007/978-981-99-1414-2_43

2. G. Mahajan, Dr. V. Attar and S. Kalamkar, “Generation of JMeter scripts for performance testing of Moodle server,” 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2022, pp. 2277-2281, doi: 10.1109/ICAC3N56670.2022.10074284.

3. P. D. Kamble and V. Attar, “Predicting parameter values of CT scanner using machine learning techniques,” 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2022, pp. 438-442, doi: 10.1109/ICAC3N56670.2022.10074190.

4. S. S. Mohite, V. Attar and S. Kalamkar, “Shaming tweets detection on Twitter using Machine learning Algorithms,” 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), 2022, pp. 1-6, doi: 10.1109/GCAT55367.2022.9972100.

5. H. V Gandhi and V. Z. Attar, “Sentiment of Primary Features in Aspect Based Sentiment Analysis of Hindi Reviews”, ICCET-2022(7th International Conference on Computing in Engineering & Technology) DBATU Conference Series.

6. R. D. Bharati and V. Z. Attar, “Performance Analysis of Scalable Transactions in Distributed Data Store”, 7th International conference on Computing in Engineering & Technology, 2022

7. S. Shelke and V. Attar, “Role of Various Features in Identification of Rumors in the Social Network,” in 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021, pp. 1–6.

8. V. Chavan and V. Z. Attar, “Image Diff’s Validation Using Image Classification,” in Innovations in Computer Science and Engineering, Springer, 2022, pp. 587–591.

9. E. Kurode, N. Vora, S. Patil, and V. Attar, “MANET routing protocols with emphasis on zone routing protocol–an overview,” in 2021 IEEE Region 10 Symposium (TENSYMP), 2021, pp. 1–6.

10. Shreya Mehta, Nikita Shirguppi, Sneha Patil, Vahida Attar, “Code Summarizer” in IEEE International Conference IEEE International Conference on Mechatronics and Automation (IEEE ICMA 2021), 8-11 August, 2021.

11. R. D. Bharati and V. Z. Attar, “Workload-Driven Transactional Partitioning for Distributed Databases,” in Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-8530-2_31 pp. 389–396.

12. N. S. Jogalekar, V. Attar and G. K. Palshikar, “Rumor Detection on Social Networks: A Sociological Approach,” 2020 IEEE International Conference on Big Data (Big Data), Atlanta, GA, USA, 2020, pp. 3877-3884, doi: 10.1109/BigData50022.2020.9378149.

13. K. Pawar and V. Attar, “Application of Deep Learning for Crowd Anomaly Detection from Surveillance Videos,” in 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2021, pp. 506–511.

14. V. Attar, R. Sathe, Y. Shah and D. Kudale, “Single Image Blind Deblurring”, 2021 6th International Conference for Convergence in Technology (I2CT). IEEE Pune, India. Apr 02-04, 2021, pp. 1-9. https://doi.org/10.1109/I2CT51068.2021.9417948

15. S. Mehta, S. Patil, N. Shirguppi, and V. Attar, “Code Summarization” in International Conference on WOMEN RESEARCHERS IN ELECTRONICS AND COMPUTING WREC-2021, Dr B R Ambedkar National Institute of Technology, Jalandhar, Punjab, INDIA, 22-24 April, 2021

16. Neha Nawalkar, Vahida Attar, ShridaKalamkar, “Automated ICD-9 Medical Code Assignment from Given Free Text Using Deep Learning Approach”, The International Conference on Data and Information Sciences (ICDIS-2021), Lecture Notes in Networks and Systems, Springer, May 14-15, 2021.

17. Chaitali Joshi, Vahida Attar, ShridaKalamkar, “An unsupervised topic modeling approach for adverse drug reaction extraction and identification from natural language text”, The International Conference on Data and Information Sciences (ICDIS-2021), Lecture Notes in Networks and Systems, Springer, May 14-15, 2021.

18. K. Pawar and V. Attar, “Automated Surveillance Model for Video based Anomalous Activity Detection using Deep Learning Architecture”, In International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV-2020), Springer.

19. S.M.Jaybhaye, V.Z.Attar, “Heterogeneous Resource Provisioning for Workflow Based Applications using AHP in Cloud Computing” Algorithms for Intelligent Systems, ISSN: 2524-7565, Springer Nature Series 978-981-15-5076-8

20. T. Pattanshetti ,V. Attar, ” Performance Optimization of Big Data Applications using Parameter Tuning of Data Platform Features through Feature Selection Techniques”, in 8^th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2020)

21. S. A. Gandhi, V. P. Desai, A. S. Abhyankar, and V. Attar, “Traffic Congestion Control Using Hierarchical Decision Model,” in International Conference on Computer Networks and Inventive Communication Technologies, 2019, pp. 98–106.

22. A. Patil, S. Hassan, T. Nayak, V. Attar, G. Sakhare, and S. Joshi, “Prediction Equations in Spirometry Using Demographic and Spirometric Values,” in International Conference on Intelligent Computing, Information and Control Systems, 2019, pp. 461–469.

23. S. Vaishampayan, G. K. Palshikar, M. Apte, and V. Z. Attar, “Causality: An Overlooked Aspect in Anomaly Detection,” in TENCON IEEE Region 10 Conference (TENCON), 2019, pp. 2413–2417.

24. H. Gandhi and V. Attar, “Extracting Aspect Terms using CRF and Bi-LSTM Models,” Procedia Comput. Sci., vol. 167, pp. 2486–2495, 2020.

25. S. Shelke and V. Attar, “Origin Identification of a Rumor in Social Network,” in Cybernetics, Cognition and Machine Learning Applications, Springer, 2020, pp. 89–96.

26. V. Patil, N. Somani, A. Tadvi, V. Attar, “Algorithmic Forex trading using combination of numeric time series and news analysis”, 2018 4th International Conference for Convergence in Technology (I2CT), In press.

27. A. Pawde, M. Apte, G. K. Palshikar, and V. Attar, “Synthesizing Data for Collusion-based Malpractice of Shell Companies in Money Laundering,” in 2018 4th International Conference for Convergence in Technology (I2CT), 2018, pp. 1–5.

28. R. D. Bharati and V. Z. Attar, “A Comprehensive Survey on Distributed Transactions Based Data Partitioning,” in 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), IEEE, 2018, pp. 1–5.

29. T. Pattanshetti and V. Attar, “Performance Evaluation and Analysis of Feature Selection Algorithms”, Springer, In Data Management, Analytics and Innovation. Springer, 2019, pp. 47–60

30. T. Pattanshetti and V. Attar, “Unsupervised Feature Selection Using Correlation Score,” in Computing, Communication and Signal Processing, Springer, 2019, pp. 355–362.

31. S. Jaybhaye and V. Attar, “A review on scientific workflow scheduling in cloud computing,” 2017 2nd International Conference on Communication and Electronics Systems (ICCES), Coimbatore, 2017, pp. 218-223. doi: 10.1109/CESYS.2017.8321269

32. S. Dongaonkar and V. Attar, “Node Grouping and Link Segregation in Circular Layout with Edge Bundling,” in Computational Intelligence in Data Mining, Springer, 2018, pp. 391–399.

33. A. Bongir, V. Attar and J. Ramanand, “Automated Quiz Generator”, 3^rd International Symposium on Intelligent Systems Technologies and Applications (ISTA), Springer AISC, 2017. DOI: https://doi.org/10.1007/978-3-319-68385-0_15

34. K. Khare, O. Darekar, P. Gupta and V. Attar, “Short Term Stock Price Prediction using Deep Learning”, 2^nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), IEEE, May 2017. DOI: https://doi.org/10.1109/RTEICT.2017.8256643

40. T. Pattanshetti and V. Attar, “Survey of performance modeling of big data applications,” 2017 7th International Conference on Cloud Computing, Data Science & Engineering – Confluence, Noida, 2017, pp. 177-181. DOI: https://doi.org/10.1109/CONFLUENCE.2017.7943145

41. K. Sharma and V. Attar, “Generalized Big Data Test Framework for ETL migration,” in Computing, Analytics and Security Trends (CAST), International Conference on, 2016, pp. 528–532. https://doi.org/10.1109/CAST.2016.7915025

42. K. Pawar and V. Attar, “A survey on Data Analytic Platforms for Internet of Things,” 2016 International Conference on Computing, Analytics and Security Trends (CAST), Pune, 2016, pp. 605-610. DOI: https://doi.org/10.1109/CAST.2016.7915039

43. Goyal, A. Swaminathan, R. Pande and V. Attar, “Cross platform (RDBMS to NoSQL) database validation tool using bloom filter,” 2016 International Conference on Recent Trends in Information Technology (ICRTIT), Chennai, 2016, pp. 1-5. DOI: https://doi.org/10.1109/ICRTIT.2016.7569537

44. S. Gaikwad, R. Asodekar, S. Gadia and V. Attar, “AGRI-QAS question-answering system for agriculture domain,” International Conference on Advances in Computing, Communications and Informatics (ICACCI), Kochi, 2015, pp. 1474-1478. DOI: https://doi.org/10.1109/ICACCI.2015.7275820

45. A. Shirude, S. Totala, S. Nikhar, V. Attar, and J. Ramanand, “Automated Question Generation tool for structured data”, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Kochi, 2015, pp. 1546-1551. DOI: https://doi.org/10.1109/ICACCI.2015.7275833

41. A.Sirohi, P.Mahato, and V. Attar, “Multiple Kernel Learning for stock price direction prediction”, 2014 International Conference on Advances in Engineering & Technology Research (ICAETR – 2014), Unnao, 2014, pp. 1-4. DOI: https://doi.org/10.1109/ICAETR.2014.7012901

42. P. Mahato and V. Attar, “Prediction of gold and silver stock price using ensemble models,” 2014 International Conference on Advances in Engineering & Technology Research (ICAETR – 2014), Unnao, 2014, pp. 1-4. DOI: https://doi.org/10.1109/ICAETR.2014.7012821

43. V. Attar, and G. Pingale, “Novel Class Detection in Data Streams”, In Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS2012), December 28-30, 2012, pp. 683–690. New Delhi: Springer India. https://doi.org/10.1007/978-81-322-1602-5_73

44. A. Ujlambkar, and V. Attar, “Mood Classification of Indian Popular Music”, InProceedings of the CUBE International Information Technology Conference, 2012, pp. 278–283, New York, NY, USA: ACM. DOI: https://doi.org/10.1145/2381716.2381768

45. A. Godase, and V. Attar, “Classifier Ensemble for Imbalanced Data Stream Classification” In Proceedings of the CUBE International Information Technology Conference, (2012). pp. 284–289. New York, NY, USA: ACM. DOI: https://doi.org/10.1145/2381716.2381769

46. A. Godase and V. Attar, “Classification of data streams with skewed distribution,” 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, Madrid, 2012, pp. 151-156. DOI: https://doi.org/10.1109/EAIS.2012.6232821

47. A. Ujlambkar and V. Attar, “Automatic Mood Classification Model for Indian Popular Music,” 2012 Sixth Asia Modelling Symposium, Bali, 2012, pp. 7-12. DOI: https://doi.org/10.1109/AMS.2012.19

48. V. Attar, P. Chaudhary, S. Rahagude, G. Chaudhari, and P. Sinha, “An Instance-Window Based Classification Algorithm for Handling Gradual Concept Drifts,” in Agents and Data Mining Interaction: 7th International Workshop on Agents and Data Mining Interation, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Springer Berlin Heidelberg, 2012, pp. 156–172.

49. A. Patil, and V. Attar, “Framework for Performance Comparison of Classifiers” In Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 201, Vol. 2, pp. 681–689. India: Springer India. https://doi.org/10.1007/978-81-322-0491-6_62

50. A. Patil, and V. Attar, “Intelligent Detection of Major Network Attacks Using Feature Selection Methods”, In Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011: Vol. 2, pp. 671–679. India: Springer India. https://doi.org/10.1007/978-81-322-0491-6_61

51. S. Hukerikar, A. Tumma, A. Nikam and V. Attar, “SkewBoost: An algorithm for classifying imbalanced datasets,” 2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011), Allahabad, 2011, pp. 46-52.

DOI: https://doi.org/10.1109/ICCCT.2011.6075185

52. V. Attar, P. Chandwadkar, “Implementing Network Discovery Protocol Network Discovery Protocol LLDP and LLDP-MED” 2009 IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX, USA – October 2009

53. V. Attar, “Comparative study of Filters in WEKA” International conference on Systemic cybernetics and Informatics, 5-8 Jan. 2011, Hyderabad, India (Best Paper Award Winner)

54. V. Attar, “An OS for On chip validation”, International Conference on Automation Robotics and Control Systems (ARCS-10 ),Orlando, Florida, USA, July 12-14, 2010 ISBN: 978-1-60651-016-2

55. V. Attar, “Adaptive and Efficient Classifier for Data Streams”, International Conference on Artificial Intelligence and Pattern Recognition, (AIPR-10), Orlando, Florida, USA, July 12-14, 2010. ISBN: 978-1-60651-015-5

56. S. Nandagaonkar, V. Attar and P. Sinha, “Efficient Decision Tree Construction for Classifying Numerical Data”, International Conference on Advances in Recent Technologies in Communication and Computing, Kottayam, Kerala, 2009, pp. 761-765. DOI: https://doi.org/10.1109/ARTCom.2009.172

57. L. A. Rasal and V. Z. Attar, “Web browser architecture proposal with local agent,” International Conference on Intelligent Agent & Multi-Agent Systems, Chennai, 2009, pp. 1-5. DOI: https://doi.org/10.1109/IAMA.2009.5228079

58. V. Attar, “Distributed Data Stream Management System”, International Conference, ICKMIC 2009 Gaziabad, India ISBN: 978-81-8424-420-5

59. V. Inamdar, V. Attar, and G. Chhajed, “Steganography in Black & White Picture Images, Congress on Image and Signal Processing, Vol. 2, May 27-May 30, 2008, ISBN: 978-0-7695-3119-9. DOI: http://doi.ieeecomputersociety.org/10.1109/CISP.2008.626

60. V. Attar, “Popup Messenger for alerting systems” International Conference of World Congress on Computer Science Engg. and Technology (WCCSETE) May 2006.

National Conferences

1. V. Attar, “Materialized view Refreshment”, National Conference on Digital Information Management on 23rd and 24th March, 2007 at TSEC Mumbai, India

2. V. Attar, “Knowledge discovery in Text Mining”, National Conference on Communication and Computational Techniques NCCT, 2006 (Under TEQIP), DIT, Dehradun, India

3. V. Attar, “Predictive Model Construction Using Probabilistic Regression Tree”, National Conference on Signal and Image Processing Applications, Maharashtra, India, 19-20 Sept. 2009, ISBN: 978-1-84919-193-7 IET Digest, DOI: https://doi.org/10.1049/ic.2009.0167

4. K. Khandeparkar, N. Pandit, A. Kulkarni, V. Attar, S. Ghumbre, “Design of a Phasor Data Concentrator for Wide Area Measurement System”, 17^th National Power Systems Conference 2012, IIT BHU

5. V. Attar, “Data Mining for Internal Security” National Conference on Data and Information Management, 19-20 Feb. 2011 at AIMS Pune

International Journal Papers

1. Rohaan Advani, Yash Dhake, Dhruva Kapadia ,Dr. Vahida Z. Attar, “Anomaly and Object Detection for Security Surveillance”, International Journal of Scientific Research in Engineering and Management,Volume 7, Issue 4, April 2023, ISSN 2582-3930.

2. Rajkumar Sawant, Sakshi Pawar, Sanjyot Gaidhani, Dr. Tanuja Pattanshetti, Dr. Vahida Attar, “Image Augmentation For Precision Agriculture: A Review”, Bulletin for Technology and History, Volume 23 Issue 5, 2023, ISSN 0391-6715.

3. Bharati, R. and Attar, V., 2023. Hybrid Graph Partitioning with OLB Approach in Distributed Transactions. Intelligent Automation & Soft Computing, 37(1).

4. Karishma Pawar, Vahida Attar, Deep learning based detection and localization of road accidents from traffic surveillance videos, ICT Express, Volume 8, Issue 3, 2022, Pages 379-387, ISSN 2405-9595, https://doi.org/10.1016/j.icte.2021.11.004.

5. R. D.Bharati and V.Z.Attar. R-store: distributed transactions optimization for nosql database through query workload data partitioning. Journal of East China University of Science and Technology, 65(3), 316–322. 2022

6. H. V Gandhi and V. Z. Attar, “Polarity Detection and Feature-based Summarization for Aspect Based Sentiment Analysis Dataset” Vol.15, No.4, 2022. DOI: 10.22266/ijies2022.0831.02

7. S. Shelke and V. Attar, “Rumor detection in social network based on user, content and lexical features,” Multimed. Tools Appl., Springer, pp. 1–22, 2022.

8. K. Pawar and V. Attar, “Deep learning model based on cascaded autoencoders and one-class learning for detection and localization of anomalies from surveillance videos”, IET Biometrics, Wiley, 2021

9. K. Pawar and V. Attar, “Deep learning based detection and localization of road accidents from traffic surveillance videos,” ICT Express, 2021, doi: https://doi.org/10.1016/j.icte.2021.11.004.

10. S. Shelke and V. Attar, “Rumor Source Identification in Social Network with Lowest Search Space”, Turkish Online Journal of Qualitative Enquiry (TOJQI), Volume 12, Issue 10, October 2021: 1470-1482.

11. T. Pattanshetti and V. Attar, “PaaS Optimization of Apache Applications Using System Parameter Tuning of Big Data Platforms in Distributed Computing,” Int. J. Distrib. Syst. Technol., vol. 11, no. 4, pp. 23–38, 2020.

12. H. V Gandhi and V. Z. Attar, “Transfer Learning for Aspect Term Polarity Determination,” Solid State Technol., pp. 956–968, 2020.

13. A. Khandelwal and V. Attar, “Orthogonal Attention: A Cloze-Style Approach to Negation Scope Resolution.” Arxiv, Cornell University 2021.

14. H. V Gandhi and V. Z. Attar, “Ensemble Models for Aspect Category Related ABSA Subtasks”, Turkish Journal of Computer and Mathematics Education, Vol.12 No.13 (2021), 2348-2364.

15. S.M.Jaybhaye, V.Z.Attar, “Adaptive Workflow Scheduling using Evolutionary Approach in Cloud Computing,” Vietnam Journal of Computer Science: Vietnam Journal of Computer Science ,Vol. 7, No. 2 (2020) 1–18 DOI: 10.1142/S2196888820500104

16. S.M.Jaybhaye, V.Z.Attar, “Resource Provisioning for Scientific Workflow Applications using AWS Cloud”,International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-3, February, 2020

17. T. Pattanshetti and V. Attar, “Parameter tuning of big data platforms for performance optimization,” J. Inf. Optim. Sci., vol. 41, no. 2, pp. 403–410, 2020.

18. S.M.Jaybhaye, V.Z.Attar, “Resource Allocation and Optimization in Cloud, for workflow based applications”, Journal of Advanced Research in Dynamical & Control Systems, Vol. 11, 11-Special Issue, 2019,pp.1190 -1198 DOI: 10.5373/JARDCS/V11SP11/20193151 ISSN 1943-023X 1190

19. K. Pawar and V. Attar, “Deep learning-based intelligent surveillance model for detection of anomalous activities from videos,” Int. J. Comput. Vis. Robot., Inderscience, vol. 10, no. 4, pp. 289–311, 2020.

20. T. Pattanshetti and V. Attar, “Performance Features of Big Data Platforms and Service Level Agreement based on Software Quality Metrics using Feature Selection Algorithms”, Journal of Computational and Theoretical Nanoscience, 2019.

21. T. Pattanshetti and V. Attar, “A Novel Mean based Technique for Feature Selection”, Accepted in Accepted in Inderscience – International Journal of Advanced Intelligence Paradigms, 2019, In press.

22. S. Jaybhaye, V. Attar, “Optimization Modeling and Scheduling for Workflow based Applications using Constraint Programming”, Accepted in Inderscience – International Journal of Advanced Intelligence Paradigms, 2019.

23. S. Shelke and V. Attar, “Source detection of rumor in social network – A review,” Online Soc. Networks Media, vol. 9, pp. 30–42, 2019, DOI:https://doi.org/10.1016/j.osnem.2018.12.001.

24. K. Pawar and V. Attar, “Deep learning approaches for video-based anomalous activity detection”, World Wide Web, Springer, vol. 22, no. 2, pp. 571–601, S2019, DOI: https://doi.org/10.1007/s11280-018-0582-1

25. K. Niyazi, V. Attar, S. Kumar, S. Dutta, and L. Nagar, “Rubber Viscosity Variation Reduction using Advanced Predictive Analytics”, International Journal of Computational Intelligence Research (IJCIR), 2018, ISSN 0973-1873, vol. 14, no. 1, pp. 140-143.

26. S. Hulke and V. Attar, “Game Theory based Incentive Mechanisms in Delay Tolerant Network”, International Journal of Computer Applications, 2015, vol.115, no.1, pp. 22-25.

27. A. Nayak, M. Ugalmugale, V. Gaikwad, V. Attar, “A Study of the Copula Approach to Pair Trading”,International Journal of Knowledge Based Computer Systems, 2014, vol. 2, no. 1, pp.14-21.

28. A. Nayak, M. Ugalmugale, V. Gaikwad, V. Attar, “Multiday Pair Trading Strategy using Copula”, International Journal of Enhanced Research in Science Technology & Engineering, June-2014, ISSN: 2319-7463, vol. 3 Issue 6, pp. 344-355

29. V. Attar and D. Datta, “Statistical Model for Risk Estimation”, International Journal of Engineering Research and Development e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com March 2014 vol. 10, no. 3, pp. 64-71

30. N. Charkha, A. Ghatge, P. Sharma, V. Attar and A. Patil, “Estimating Risk of Mortality from Cardiovascular Diseases using Negative Binomial Regression”, Epidemiol, an open access journal

31. A. Patil, V. Attar, “Framework for stream learning algorithms,” Int. J. Comput. Intell. Stud., Inderscience, vol. 1, no. 4, pp. 368–383, 2012.

32. J. Gholap, A. Ingole, J. Gohil, S. Gargade, V. Attar “Soil Data Analysis Using Classification Techniques and Soil Attribute Prediction”, IJCSI International Journal of Computer Science Issues, Vol. 9, no. 3, ISSN (Online): 1694-www.IJCSI.org

33. D. Padulkar, V. Attar ,“Uncertain Numerical Data Clustering with VORONOI Diagram and R-Tree with Ensemble SVM”, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 3, no. 3, 2012, pp. 4549-4552

34. V. Attar, P. Sinha, and K. Wankhade, “A fast and light classifier for data streams”, Evolving Systems, 2010, vol. 1, no. 3, pp. 199–207. DOI: https://doi.org/10.1007/s12530-010-9010-1

35. V. Attar, P. Chandwadkar, “Network Discovery Protocol LLDP and LLDP-MED” International Journal of Computer Applications (0975 – 8887), March 2010, Vol. 1, no. 9 (ISBN: 978-93-80746-08-1)

36. V. Attar, and P. Sinha “Research Directions for Building Future Decision Tree Classifiers for Large Datasets”, International Journal of Computers Information Technology and Engineering Serial Publications, Dec. 2008, ISSN: 0973-743X

37. V. Attar and V. Inamdar, “Materialized Views in Data Mining” International Journal of Computer Science and Network Security, Dec. 2007, ISSN 1738-7906, Vol. 7, no. 12, pp. 90-94