Dr. Manik Sharma
Assistant ProfessorDepartment of Computer Science and Applications, DAV University, India
Highest Degree
Ph.D. in Computer Application from I.K Gujral Punjab Technical University, India
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Department of Computer Science and Applications, DAV University, India
Biography
Dr. Manik Sharma is an MCA, UGC-NET qualified and has received his Ph.D. degree in “Distributed Query Optimization”. He has more than 12 years of teaching experience. He is working in the area of Data Mining, Machine Learning and Soft Computing with specialization in the diagnosis of diseases and modeling of DSS query optimizer. The thrust area is to design an artificial intelligence based Clincial Decision Support System for the effective managment of major human pyschological disorders. He has published 3 books related to Computer Network, Internet Applications, Management Information System and Database Theory. In addition, he has also published more than 20 research papers in various journals of International repute including Scopus and Thomson Reuters. He has also presented more than ten research articles in various national and international UGC and IEEE conferences. Moreover, he is an active member of International Program Committees, Technical Program Committees, and Advisory Committees of several academics conferences (United Kingdom, Singapore, Mauritius, Thailand, Vietnam, USA, Hong Kong, Canada, UAE, and India).
Area of Interest:
Computer Sciences
100%
Query Optimization
62%
Soft Computing
90%
Machine Learning
75%
Artificial Intelligence
55%
Research Publications in Numbers
Books
2
2
Chapters
3
3
Articles
44
44
Abstracts
12
12
Selected Publications
- Sharma, S., G. Singh and M. Sharma, 2021. A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans. Comput. Biol. Med., Vol. 134. 10.1016/j.compbiomed.2021.104450.
CrossRef | Direct Link | - Sharma, M., 2021. Visualisation and bibliometric analysis of worldwide research trend of stress among seafarer: An extensive publication analysis. Int. Marit. Health, 72: 64-75.
CrossRef | Direct Link | - Sharma, M., 2021. Drone technology for assisting COVID-19 victims in remote areas: Opportunity and challenges. J. Med. Syst., Vol. 45. 10.1007/s10916-021-01759-y.
CrossRef | Direct Link | - Monga, P., M. Sharma and S.K. Sharma, 2021. Need of surveillance system to support digital psychological intervention to COVID19 afflicted people in India. Int. J. Soc. Psychiatry, 67: 200-202.
CrossRef | Direct Link | - Sharma, S., M. Sharma and G. Singh, 2020. A chaotic and stressed environment for 2019-nCoV suspected, infected and other people in India: Fear of mass destruction and causality. Asian J. Psychiatry, Vol. 51. 10.1016/j.ajp.2020.102049.
CrossRef | Direct Link | - Sharma, M. and S. 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. J. Med. Syst., Vol. 44. 10.1007/s10916-020-01588-5.
CrossRef | Direct Link | - Sharma, M. and P. Kaur, 2020. A comprehensive analysis of nature-inspired meta-heuristic techniques for feature selection problem. Arch. Computat. Methods Eng. 10.1007/s11831-020-09412-6.
CrossRef | Direct Link | - Gautam, R. and M. Sharma, 2020. Prevalence and diagnosis of neurological disorders using different deep learning techniques: A meta-analysis. J. Med. Syst., Vol. 44. 10.1007/s10916-019-1519-7.
CrossRef | Direct Link | - Gautam, R. and M. Sharma, 2020. 2019-nCoV pandemic: A disruptive and stressful atmosphere for Indian academic fraternity. Brain Behav. Immun., (In Press). 10.1016/j.bbi.2020.04.025.
CrossRef | Direct Link | - Arora, S., M. Sharma and P. Anand, 2020. A novel chaotic interior search algorithm for global optimization and feature selection. Applied Artif. Intell., 34: 292-328.
CrossRef | Direct Link | - Kaur, P. and M. Sharma, 2019. Diagnosis of human psychological disorders using supervised learning and nature-inspired computing techniques: A meta-analysis. J. Med. Syst., Vol. 43. 10.1007/s10916-019-1341-2.
CrossRef | Direct Link | - Gautam, R., P. Kaur and M. Sharma, 2019. A comprehensive review on nature inspired computing algorithms for the diagnosis of chronic disorders in human beings. Prog. Artif. Intell., 8: 401-424.
CrossRef | Direct Link | - Arora, S., H. Singh, M. Sharma, S. Sharma and P. Anand, 2019. A new hybrid algorithm based on grey wolf optimization and crow search algorithm for unconstrained function optimization and feature selection. IEEE Access, 7: 26343-26361.
CrossRef | Direct Link | - Sharma, M., S. Sharma and G. Singh, 2018. Performance analysis of statistical and supervised learning techniques in stock data mining. Data, Vol. 3. 10.3390/data3040054.
CrossRef | Direct Link | - Sharma, M., G. Singh and R. Singh, 2018. Design of GA and ontology based NLP frameworks for online opinion mining. Recent Patents Eng. 10.2174/1872212112666180115162726.
CrossRef | Direct Link | - Sharma, M., G. Singh and R. Singh, 2018. Clinical decision support system query optimizer using hybrid firefly and controlled genetic algorithm. J. King Saud Univ. Comput. Inf. Sci. 10.1016/j.jksuci.2018.06.007.
CrossRef | Direct Link | - Sharma, M., G. Singh and R. Singh, 2018. An advanced conceptual diagnostic healthcare framework for diabetes and cardiovascular disorders. EAI Endorsed Trans. Scalable Inf. Syst., Vol. 18. 10.4108/eai.19-6-2018.154828.
CrossRef | Direct Link | - Sharma, M., G. Singh and R. Singh, 2018. A review of different cost-based distributed query optimizers. Prog. Artif. Intell. 10.1007/s13748-018-0154-8.
CrossRef | Direct Link | - Sharma, M. and N. Romero, 2018. Future prospective of soft computing techniques in psychiatric disorder diagnosis. EAI Endorsed Trans. Pervasive Health Technol., Vol. 4. 10.4108/eai.30-7-2018.159798.
CrossRef | Direct Link | - Kaur, P., M. Sharma and M. Mittal, 2018. Big data and machine learning based secure healthcare framework. Procedia Comput. Sci. J., 132: 1049-1059.
CrossRef | Direct Link | - Kaur, P. and M. Sharma, 2018. Analysis of data mining and soft computing techniques in prospecting diabetes disorder in human beings. Int. J. Pharm. Sci. Res., 9: 2700-2719.
CrossRef | Direct Link | - Sharma, M., Samriti, G. Singh and R. Singh, 2017. A study of insect based optimization algorithms: Ant lion optimizer and firefly algorithm. Res. Cell: Int. J. Eng. Sci., 26: 330-341.
- Sharma, M., G. Singh and R. Singh, 2017. Stark assessment of lifestyle based human disorders using data mining based learning techniques. IRBM., 38: 305-324.
CrossRef | Direct Link | - Sharma, M., G. Singh and R. Singh, 2017. DSS query optimization and effect of input-output/communication cost metrics. Int. J. Comput. Sci. Eng., 5: 198-203.
- Kaur, P. and M. Sharma, 2017. A survey on using nature inspired computing for fatal disease diagnosis. Int. J. Inf. Syst. Model. Des., 8: 70-91.
CrossRef | Direct Link | - Kaur, P. and M. Sharma 2017. A survey on nature inspired computing for fatal disease diagnosis. Int. J. Inf. Syst. Mod. Design, 8: 70-91.
- Sharma, M., G. Singh, R. Singh and S. Singh, 2016. Statistical Analysis of DSS Query Optimizer for a Five Join DSS Query. Int. J. Comput. Appli., 141: 1-4.
Direct Link | - Sharma, M., G. Singh and R. Singh, 2016. Design and Analysis of Stochastic DSS Query Optimizer in a Distributed Database System. Egypt. Inf. J., 17: 161-173.
CrossRef | Direct Link | - Sharma, M., G. Singh, R. Singh and G. Singh, 2015. Analysis of DSS Queries using Entropy based Restricted Genetic Algorithm. Appl. Math. Inf. Sci., 9: 2599-2609.
CrossRef | Direct Link | - Sharma, M., G. Singh and R. Singh, 2014. Design of An Optimized GA Based DSS Query Execution Strategy in a Distributed Environment. Int. J. Manage. Comput. Sci., 4: 34-41.
- Sharma, M., R. Singh and G. Singh, 2013. Analysis of a DSS Queries in a Distributed Database System. Int. J. Network Parallel Comput., 1: 5-17.
Direct Link | - Sharma, M., G. Singh, G. Singh and R. Virk, 2013. Stochastic Analysis of DSS Queries in a Distributed Database Design. Int. J. Comput. Appli., 83: 36-42.
CrossRef | Direct Link | - Sharma, M., G. Singh, G. Singh and R. Virk, 2013. Analysis of DSS Queries in Distributed Database System using Exhaustive and Genetic Approach. Int. J. Adv. Comput., 36: 1165-1174.
- Sharma, M., 2013. Role and Working of Genetic Algorithm in Computer Science. Int. J. Comput. Appli. Inf. Technol., 2: 27-32.
Direct Link | - Sharma, M., L. Singh and C. Sharma, 2012. Comparative Study of Static Metrics of Procedural and Object Oriented Programming Languages. Int. J. Comput. Technol., 2: 15-19.
Direct Link | - Sharma, M., G. Singh, A. Arora and P. Kaur, 2012. A Comparative Study of Static Object Oriented Metrics. Int. J. Adv. Technol., 3: 25-34.
Direct Link | - Sharma, M., G. Singh and R. Singh, 2012. Analysis of Joins and Semi Joins in a Distributed Database Queries. Int. J. Comput. Appli., 49: 14-18.
Direct Link | - Sharma, M., G. Singh and H. Kaur, 2012. A Study Of BNP Parallel Task Scheduling Algorithms Metric`s For Distributed Database System. Int. J. Distrib. Parallel Syst., 3: 157-166.
CrossRef | Direct Link | - Sharma, M. and G. Singh, 2011. Predictive Metric - A Comparative Analysis. Int. J. Comput. Sci. Technol., 2: 155-157.
Direct Link | - Sharma, M. and G. Singh, 2011. Analysis of Static and Dynamic Metrics for Productivity and Time Complexity. Int. J. Comput. Appli., 30: 7-13.
CrossRef | Direct Link | - Sharma, M. and G. Singh, 2010. A Step to Embedded Database- A Techno Change. Int. J. Comput. Sci. Eng. Technol., 1: 124-126.