Date Sheet End Semester Exam - Term24251 / 2425S Click Here >>
Apply Now Pay Fee Online (Old Student) Alumni
For Enquiry: 70870-17551,70870-17552, 70870-17553,Toll Free- 1800-1800-190
Department of Computer Science and Applications Research Publications

Dr. Sanjeev Kumar Sharma

 

  • S.K. Sharma, G.L. Lehal, Identification of compound sentences in Punjabi Language.  Research Cell: An international Journal of Engineering Science, 116-123, July 2011.
  • B. Manchanda, Ravishanker, S. K. Sharma, To find POS tag of unknown words in Punjabi Language.  Research Cell: An international Journal of Engineering Science, 116-123, 2011.
  • S. Kanwar, Ravishankar, S.K. Sharma, POS tagging of Punjabi language using HMM.  Research Cell: An international Journal of Engineering Science, 98-106, July 2011.
  • G. Bansal, S.P. Ahuja, S.K. Sharma, Improving Existing Punjabi Morphological Analyzer.  Research Cell: An international Journal of Engineering Science, 221-229, Dec. 2011.
  • S.K. Sharma, G.S. Lehal, Using HMM to improve the accuracy of Punjabi POS Tagger. 2011 IEEE International Conference on computer science and Automation Engineering held at Shanghai (China), 2011.
  • N. Arora, J. K. Sahiwal, S.K. Sharma, Creating data Warehouse for Natural Language Processing.  Research Cell: An international Journal of Engineering Science, 55-63, July. 2012.
  • N. Kaur, K. Garg, S.K. Sharma, Identification and separation of Complex sentences from Punjabi Language.  International Journal of Computer Application, 69(13), 21-24, May. 2013.
  • S.K. Sharma, G.S. Lehal,  Maximum Entropy method for POS Guessing of Punjabi Unknown words.  International Conference on Information and Mathematical Sciences held at Baba Farid College of Engineering and Technology, Bathinda, Punjab, India. 2013.  
  • Chandni, R. Narula, S.K. Sharma, Identification of simple, compound and complex sentences in Punjabi language. International Journal of Computer Applications & Information Technology, 123-128, September 2014.
  • M. Kaur, M. Aggarwal, S.K. Sharma, Improving Punjabi part of speech tagger using reduced tag set. International Journal of Computer Applications & Information Technology, 20-23, August 2014.
  • S. Mittal, N.S. Sethi, S.K. Sharma, Part of speech tagging of Punjabi language using N-gram model. International Journal of Computer Application, 100(19), 20-23, August. 2014.
  • Nikita, S.K. Dhiman, S.K. Sharma, Detection of Complex Sentences in Punjabi Language Using CRF. Journal of Innovation in Electronics and Communication Engineering.5 (2), 42-46, 2015
  • S. Sood, V.Arora, S.K. Sharma, Word Class Prediction of Ambiguous and Unknown Words of Punjabi Language Using Bi-gram Methods. International Journal of Computer Applications & Information Technology, 152-156, 2015.
  • S.K. Sharma, G.S. Lehal, Identification of clause boundary in Punjabi language. International conference on advanced in Computer, Communication and Electronic Engineering held at University of Kashmir, 2015.
  • Ishan kumar, renu Dhir, S K Sharma, Various Parsers Available for Indian and Foreign languages. International Journal of Computer Applications & Information Technology, 166-171, Special Issue on NLP, June 2016.
  • Blossom Manchanda, Vijay Anant Athavale and S K Sharma, Various Techniques Used for Grammar Checking. International Journal of Computer Applications & Information Technology, 177-181, Special Issue on NLP, June 2016.
  • Sanjeev Kumar Sharma, Effect of Statistical POS tagger on Syntactic Analysis of Punjabi Sentences. Indian Journal of Science and Technology, Vol9 (32), August 2016.
  • Sanjeev Kumar Sharma, Detailed Analysis of Complex Sentences in Punjabi Sentences. International Journal of Computer Applications & Information Technology, September 2016.
  • Sharma, S. K. (2016). Assigning the Correct Word Class to Punjabi Unknown Words using CRF. International Journal of Computer Applications, 142(2),14-17,May-2016
  • Misha Mittal, Dinesh Kumar, S K Sharma, Grammar Checker for Asian Languages: A Survey. International Journal of Computer Applications & Information Technology, 163-167, Special Issue on NLP, June 2016
  • Sharma, S. K. (2016). Clause Boundary Identification for Different Languages: A Survey. International Journal of Computer Applications & Information Technology, 8(2),152-155, May 2016
  • S.K. Sharma, G.S. Lehal, Improving Existing Punjabi Grammar Checker. IEEE International Conference on Computation Techniques in Information and Communication Technologies held at Indraprastha University, New Delhi, IEEE Xplore, 2016
  • Sharma, Sanjeev Kumar. "Using Morphological Features to Simplify Complex Sentences in Punjabi Language." International Conference on Advances in Computing and Data Sciences. Springer, Singapore, 2016.
  • Sharma, S. K Rule Based Grammar Checking Systems (A Survey). International Journal of Computer Applications and Information Technology.217-220, 10(1) July 2016.
  • Sharma, S. K Clause Boundary Identification for Different languages. International Journal of Computer Applications and Information Technology.152-155, 8(2) May 2016.
  • S.K. Sharma, Sentiment Analysis: An Analysis on its Past, Present and Future Scope.International Journal of Advance Research in Sciences and Engineering. 6(7), 1050-1055, July 2017.
  • Sharma, S. K.  Clauses Detection in Punjabi language. International journal of Innovation and Advancement in Computer Sciences, 106-110, August 2017.
  • Sharma, S. K. Detection and Correction of Style Errors Present in Punjabi Sentences. International Journal of Computer Science and Engineering, 196-199, 5(8), August 2017
  • Sharma, S. K. Improving Existing Punjabi Morphological Analyzer using N-gram. International Journal of Computer Science and Engineering, 171-175, 5(9), September 2017
  • Sharma, S. K. Marking Clause Boundaries in Compound Sentences of Punjabi Language. International Journal of Computer Science and Engineering, 84-88, 5(9), September 2017
  • Sharma, S. K. Role of Statistical Approaches for Error Detection in English and Other European Languages. AGU International Journal of Research in Social Sciences & Humanities. 234-239, Vol. 5, July Dec-2017.
  • R M Jindal, V Rana, S. K. Sharma. A Survey on Paraphrase Detection and Generation Techniques.  Research Cell: An international Journal of Engineering Science, 76-83, December 2017.
  • L Jindal, V Rana, S. K. Sharma. Punjabi Grammar Checker Components, Scope and Techniques.  Research Cell: An international Journal of Engineering Science, 279-289, December 2017.
  • Vikas Verma, S.K. Sharma, "Comparative analysis of Grammar Checkers of various Asian Languages", International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.697-700, 2018, November 2018.

    

Hiteshwari Sabrol

 

  • Hiteshwari Sabrol and Satish Kumar. Recent Studies of Image and Soft Computing Techniques for Plant Disease Recognition and Classification. International Journal of Computer Applications126, Published by Foundation of Computer Science (FCS), NY, USA, vol. 1, pp. 44-55, 2015.
  • Hiteshwari Sabrol and Satish Kumar. DCT based Plant Leaf Disease Recognition Algorithm using Subtractive Clustering. International Journal of Control Theory and Applications, International Science Press, vol. 9, no. 23, pp. 407-412, 2016.
  • Sabrol and K. Satish. Intensity Based Feature Extraction for Tomato Plant Disease Recognition by Classification Using Decision Tree”, International Journal of Computer Science and Information Security, vol. 14, no. 9, pp. 622-626, 2016.
  • Hiteshwari Sabrol and Satish Kumar. Fuzzy and Neural Network Based Tomato Plant Disease Classification using natural outdoor image. Indian Journal of Science and Technology, India, vol.9, no. 4, pp. 1-8, Nov. 2016
  • Sabrol and K. Satish. Tomato plant disease classification in digital images using classification tree. IEEE Proc: International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, 2016, pp. 1242-1246.2, 2016.
  • Hiteshwari Sabrol and Satish Kumar. Recognition of Tomato Late Blight by using DWT and Component Analysis. International Journal of Electrical and Computer Engineering. Indonessia, vol. 7, no. 1, Feb. 2017.
  • Hiteshwari Sabrol and Satish Kumar. An Identification of Wheat Rust Diseases in Digital Images:A Review. International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR), Vol. 3, Issue 3, pp. 85-9, Aug 2013,
  • Hiteshwari Sabrol and Satish Kumar. DCT based Plant Leaf Disease Recognition Algorithm using Subtractive Clustering. International Conference on Sustainable Computing Techniques in Engineering, Management and Science, September 9-10, Noida 2016.
  • Hiteshwari Sabrol. Impact of IT on Indian Financial Sector. National Seminar on Changing Dimensions of Indian Financial Sector, Jan 30, 2011 (Published in Seminar Proceeding) Sponsored by ICSSR at Guru Nanak National College, Doraha.
  • Hiteshwari Sabrol. Migration of IT Services: To Remove Trade Barriers. National Seminar on India an Emerging Service Economy: Issues and Challenge. Feb 18-19, 2011 (Published in Seminar Proceeding) Sponsored by UGC at Guru Nanak National College, Doraha.
  • Hiteshwari Sabrol. Web Intelligence: An Extension to Web. National Seminar on Web Information Systems and Technologies. Nov 9, 2011 Post Graduate Govt. College for Girls, Sector-11, Chandigarh. (Published in Book, ISBN No: 978-93-80144-22-1, Printed by Twenty first Century Publications, Patiala)

 

 

Arvind Mahindru

SCI/SCIE Indexed Articles 

1. Arvind Mahindru and A.L. Sangal.  (2020). MLDroid—framework for Android malware detection using machine learning techniques. Neural Computing and Applications. [IF: 4.774] [DOI: https://doi.org/10.1007/s00521-020-05309-4]

2. Arvind Mahindru and A.L. Sangal. (2020). SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches. International Journal of Machine Learning and Cybernetics. [IF: 3.753] [DOI: https://doi.org/10.1007/s13042-020-01238-9]

3. Arvind Mahindru and A.L. Sangal. (2021). FSDroid: - A feature selection technique to detect malware from Android using Machine Learning Techniques. Multimedia Tools and Applications. [IF: 2313] [DOI: https://doi.org/10.1007/s11042-020-10367-w]

4. Arvind Mahindru and A.L. Sangal. (2021). HybriDroid:  An Empirical Analysis on Effective Malware Detection Model Developed using Ensemble Methods. The Journal of Supercomputing. [IF: 2.469] [DOI: https://doi.org/10.1007/s11227-020-03569-4]

Scopus/Emerging Sources Citation Indexed Articles 

1. Arvind Mahindru and A.L. Sangal.  (2020). SOMDROID: android malware detection by artificial neural network trained using unsupervised learning. Evolutionary Intelligence. [DOI: https://doi.org/10.1007/s12065-020-00518-1]

2. Arvind Mahindru and A.L. Sangal.  (2020). Dldroid: feature selection based malware detection framework for android apps developed during covid-19. International Journal on Emerging Technologies.

3.  Arvind Mahindru and A.L. Sangal.  (2020). Gadroid: a framework for malware detection from android by using genetic algorithm as feature selection approach. International Journal of Advanced Science and Technology.

 

Book Chapter Published as an Author

Arvind Mahindru and A.L. Sangal. “Feature-based semi-supervised learning to detect malware from android.” Automated software engineering: a deep learning-based approach. Publisher Name: Springer, Cham.  pp- 93-118 Print ISBN: 978-3-030-38005-2. Online ISBN: 978-3-030-38006-9.  [DOI: https://doi.org/10.1007/978-3-030-38006-9_6]

 

Arvind Mahindru and A.L. Sangal. “Perbdroid: effective malware detection model developed using machine learning classification techniques.” A journey towards bio-inspired techniques in software engineering. Publisher Name: Springer, Cham. pp- 103-139.   Print ISBN: 978-3-030-40927-2. Online ISBN 978-3-030-40928-9. [DOI: https://doi.org/10.1007/978-3-030-40928-9_7]

 
Conferences

1. Arvind Mahindru and Paramvir Singh. “Dynamic permissions based android malware detection using machine learning techniques.” Proceedings of the 10th innovations in software engineering conference. February, 2017. Jaipur, India. [DOI: https://doi.org/10.1145/3021460.3021485]

  1. Arvind Mahindru and A.L. Sangal. “Deepdroid: feature selection approach to detect android malware using deep learning.” IEEE 10th International Conference on Software Engineering and Service Science (ICSESS). Beijing, China. [DOI: 10.1109/ICSESS47205.2019.9040821]
  2. Lov Kumar, Chinmay Hota, Arvind Mahindru, Lalita Bhanu Murthy Neti. “Android malware prediction using extreme learning machine with different kernel functions.” AINTEC '19: Proceedings of the Asian Internet Engineering Conference. August 2019.  Phuket, Thailand. [DOI: https://doi.org/10.1145/3340422.3343639]

 

Dr. Manik Sharma

 

SCI/SCIE Indexed Articles 

      1. Manik Sharma, Samriti Sharma, Gurvinder Singh. (2020). Remote Monitoring of Physical and Mental State of 2019-nCoV Victims using Social Internet of Things, Fog and Soft Computing Techniques. Computer Methods and Programs in Biomedicine. 196 (2020) 105609 [IF: 3.63]. [DOI: 10.1016/j.cmpb.2020.105609]         

      2. Manik Sharma, Samriti Sharma. (2020). The Rising Number of COVID-19 Cases Reflecting Growing Search Trend and Concern of People: A Google Trend Analysis of Eight Major Countries. Journal of Medical Systems. 44, 117 (2020). [IF: 3.05] [DOI:10.1007/s10916-020-01588-5]
      3. Ritu Gautam, Manik Sharma. (2020). 2019-nCoV Pandemic: A disruptive and stressful atmosphere for Indian academic fraternity. Brain Behavior and Immunity. [IF: 6.17] [DOI:10.1016/j.bbi.2020.04.025]
      4. Samriti Sharma, Manik Sharma, Gurvinder Singh. (2020). A Chaotic and Stressed Environment for 2019-nCoV Suspected, Infected and other People in India: Fear of Mass Destruction and Causality. Asian Journal of Psychiatry. 51 (2020):102029 [IF: 2.52] [DOI : 10.1016/j.ajp.2020.102049]
      5. Manik Sharma, Prableen Kaur. (2020). A Comprehensive Analysis of Nature-Inspired Meta-Heuristic Techniques for Feature Selection Problem. Archives of Computational Methods in Engineering.[IF: 6.73] [DOI: 1007/s11831-020-09412-6].
      6. Sankalap Arora, Manik Sharma, Priyanka Anand. (2020). A novel chaotic interior search algorithm for global optimization and feature selection". Applied Artificial Intelligence. [IF:1.17] [DOI: 10.1080/08839514.2020.1712788].
      7. Ritu Gautam, Manik Sharma. (2019). Prevalence and Diagnosis of Neurological Disorders using Different Deep Learning Techniques: a Meta-Analysis”. Journal of Medical Systems. (ISSN: 0148-5598). [IF:3.05] [DOI: https://doi.org/10.1007/s10916-019-1519-7].
      8. Prableen Kaur, Manik Sharma. (2019). “Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-inspired Computing Techniques: A Meta-Analysis”. Journal of Medical Systems. 43 (7): 204 (ISSN: 0148-5598). [IF:3.05].[DOI: https://doi.org/10.1007/s10916-019-1341-2]
      9. Sankalap Arora, Harpreet Singh, Manik Sharma, Sanjeev Sharma, Priyanka Anand. (2019). A New Hybrid Algorithm based on Grey Wolf Optimization and Crow Search Algorithm for unconstrained function optimization and feature selection. IEEE Access (ISSN:2169-3536) 7:26343-26361 [IF: 3.74]  [DOI: 10.1109/ACCESS.2019.2897325].
      10. Manik Sharma, Gurvinder Singh, Rajinder Singh. (2017). “Stark Assessment of Lifestyle based Human Disorders using Data Mining based Learning Techniques”. IRBM (Innovation and Research in Biomedical Engineering). 38(2017): 305-324. (ISSN: 1959-0318) [IF: 1.02] [DOI: 10.1016/j.irbm.2017.09.002]
      11. Manik Sharma, Gurvinder Singh, Rajinder Singh. (2015). “Design and Analysis of Stochastic DSS Query Optimizer in a Distributed Database System”. Egyptian Informatics Journal.17 (2): 161-173. (ISSN: 1110-8665). [IF: 3.11] [DOI: 10.1016/j.eij.2015.10.003]. .

 

Scopus Indexed Articles 

      1. Ritu Sharma, Prableen Kaur, Manik Sharma. (2019). A Comprehensive Review on Nature-inspired Computing Algorithms for Diagnosis of Chronic Disorders in Human Beings”. Progress in Artificial Intelligence. 8 (4): 401-424 (Indexed: Scopus and ESCI) 
      2. Manik Sharma, Gurvinder Singh, Rajinder Singh (2019). “Design of GA and Ontology-based NLP Framework for Online Opinion Mining”. Recent Patents on Engineering. 13(2) : 159-165 (Indexed: Scopus). (DOI: 10.2174/1872212112666180115162726).  (ISSN: 2212-4047)
      3. Manik Sharma, Gurvinder Singh, Rajinder Singh (2019). A Review of Different Cost Based Distributed Query Optimizers. Progress in Artificial Intelligence. 8:45–62. (Scopus and ESCI)
      4. Manik Sharma, Samriti, Gurvinder Singh. (2018). Performance Analysis of Statistical and Supervised Learning Techniques in Stock’s Data Mining. Data (ISSN 2306-5729) (Scopus and ESCI) (DOI:10.3390/data3040054)     
      5. Manik Sharma, Gurvinder Singh, Rajinder Singh (2018). Clinical Decision Support System Query Optimizer using Hybrid Firefly and Controlled Genetic Algorithm. Journal of King Saud University - Computer and Information Sciences. (Scopus and ESCI) (DOI: 1016/j.jksuci.2018.06.007)     
      6. Natalia Romero, Manik Sharma (2018). Designing human data interactions in Healthcare. EAI Endorsed Transactions on Pervasive Health and Technology. 4.16:1-3 (DOI:10.4108/eai.30-10-2018.160459)
      7. Manik Sharma, Natalia Romero (2018).  Future Prospective of Soft Computing Techniques in Psychiatric Disorder Diagnosis. EAI Endorsed Transactions on Pervasive Health and Technology. 4.15:1-3 (DOI: 10.4108/eai.30-7-2018.159798)                              
      8. Prableen Kaur, Manik Sharma, Mamta Mittal. (2018). “Big Data and Machine Learning Based Secure Healthcare Framework”. Procedia Computer Science Journal. 132(2018):1049-1059. (Scopus)
      9. Prableen Kaur, Manik Sharma. (2017). “A Survey on Nature Inspired Computing for Fatal Disease Diagnosis”. International Journal of Information System Modeling and Design (IJISMD). 8(2):70-91 (Scopus and ESCI). (DOI: 10.4018/IJISMD.2017040105) (ISSN: 1947-8186).
      10. Manik Sharma, Gurvinder Singh, Rajinder Singh, Gurdev Singh (2015). “Analysis of DSS Queries using Entropy-based Restricted Genetic Algorithm”, Applied Mathematics and Information Sciences. 9(5):2599-2609.  (Scopus) (ISSN: 1935-0090)

 

Articles indexed in ESCI (Web of Science) 

      1. Manik Sharma, Gurvinder Singh, Rajinder Singh (2018). An Advanced Conceptual Diagnostic Healthcare Framework for Diabetes and Cardiovascular Disorders. EAI Endorsed Transactions on Scalable Information Systems. 5 (18): 1-11. (DOI: 4108/eai.19-6-2018.154828) (ISSN: 2032-9407)
      2. Prableen Kaur, Manik Sharma. (2018). Analysis of Data Mining and Soft Computing Techniques in Prospecting Diabetes Disorder in Human Beings’. International Journal of Pharmaceutical Sciences and Research. 9(7):2700-2719 (DOI: 10.13040/IJPSR.0975-8232.9(7).2700-19)

International Conferences

        • Manik Sharma, Gurvinder Singh, Rajinder Singh. “Parametric Analysis of Different GA based Distributed DSS Query Optimizer Models”. IEEE International Conference on Computation Techniques in Information and Communication Technologies held at Indraprastha University, New Delhi 11-13 March 2016.
        • Manik Sharma, Gurvinder Singh, Rajinder Singh. “Design and Analysis of Stochastic Query Optimizer for Biobank Databases” .IEEE 15th International Conference on Computational Sciences and Applications, held at University of Calgry, Banff, Canada on June 22-25, 2015.
        • Manik Sharma, Dr. Gurvinder Singh, Dr. Rajinder Virk, Dr. Gurdev Singh, “Design and Comparative Analysis of DSS Queries in Distributed Environment” presented at IEEE International Conference held at Bangkok, Thailand in September 2013
        • Manik Sharma, Gurdev Singh. “Analysis of Joins and Semi joins in Centralized and Distributed Database System” presented at IEEE International Conference (Turing 100) held at LPU on September 2012
        • Manik Sharma, Rajinder Singh, Gurdev Singh “Comparative Study of OLTP and DSS Queries” presented at National Conference held at Surya World University, Rajpura, Punjab, India on March 2013.
        • Manik Sharma, Rachhpal Singh. “Optimized Task Scheduling in Multiprocessor Systems using Genetic Algorithm” presented in 15th Punjab Science Congress, held in Guru Nanak Dev University, Amritsar on 7-9 Feb. 2012
        • Manik Sharma. “Convergence of Distributed Computing and Genetics for Task Allocation in Distributed Database System” presented at National Conference Managing in a Global Economy; Emerging Challenges for Management Profession held in Swami Satyanand college of Management and Technology. January 2011.

 

 

BOOKS

 

Authors

Name of Book

Publisher

ISBN Number

Rajesh Arora, Arvind

Mahindru, Deepak Kumar

and Himakshi Sandal

.NET Framework Application Development

Shree Publications

987-81- 907333-4- 2

 

Department of Computer Science and Applications Vision & Mission Programme Educational Objectives Programmes Offered Department Faculty & Staff Minutes of the meeting of BOS Laboratories Programme Outcomes (POs) Program Specific Outcomes (PSO) Research Scholars Research Publications Departmental Activities (Events) Curriculum and Syllabi Skill Enhancement

f