Dr. K. K. Chaturvedi
Dr. K. K. Chaturvedi
Senior Scientist
kk.chaturvedi@icar.gov.in, kkcchaturvedi@gmail.com
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Citations and H index



Research Interest


  • Mining Software and Biological Repositories
  • Data Structures and Algorithm Development
  • Data Warehousing and Data Mining
  • Database and Decision Support System Development

Teaching


  • Principles of Computer Programming
  • Data Structures and Algorithms
  • Data Warehousing
  • Data Warehousing & Data Mining
  • Advances in Data Warehousing
  • Software Engineering
  • Advanced Programming in Bioinformatics
  • Parallel Programming and Algorithm Development
  • Graph Theory and Applications
  • Big Data Analytics
  • Biological Data Integration and Quality Control
  • Seminar

Research Guidance


  • Currently guiding Two Masters Degree students (As Co-Chairman) in the Discipline of Computer Application, Post Graduate School, Indian Agricultural Research Institute (IARI), New Delhi, India.
  • Guided Two Masters Degree students as Chairman and Three students as Co-Chairman in the Discipline of Computer Application, Post Graduate School, Indian Agricultural Research Institute (IARI), New Delhi, India.
  • Member, Advisory Committee for several M.Sc. and Ph.D. students of different disciplines, viz., Agricultural Statistics, Computer Application, Bioinformatics, Agricultural Physics, Post Harvest Technology, Agricultural Extension and Agricultural Engineering, at Post Graduate School, IARI, New Delhi, India.

Important Research Projects


  • Platform for Integrated Genomics Warehouse

  • Research projects (Four Sub projects) under Centre for Agricultutral Bioinformatics (CABin) Scheme “Agricultural Bioinformatics and Computational Biology” funded by ICAR, New Delhi

  • Computational and Analytical Solutions for High-throughput Biological Data under ICAR Consortium Research Platform on Genomics

  • Development of a Tool for Comparison of Protein 3D Structure using graph theoretic approach

  • Establishment of National Agricultural Bioinformatics Grid in ICAR . Funded by NAIP

  • Visioning Policy Analysis and Gender (VPAGe). Funded by NAIP: (a) Technology Forecasting and (b) Market Intelligence

  • Risk Assessment and Insurance products in Agriculture. Funded by NAIP

  • E-learning solution for Agricultural Education in India

  • Development of Knowledge Data Warehouse for Agricultural Research

  • National Information System for Agricultural Education Network in India (Nisagenet)

  • Strengthening, Refining and Implementation of Expert System on Wheat Crop Management

  • Assessment of Post harvest Losses of Crops/Commodities. Funded by AICRP Project.

  • National Information System for Agricultural Education Network in India (Nisagenet). Funded by AP-Cess, ICAR.

  • Development of Expert System on Wheat Crop Management (EXOWHEM)

  • Integrated National Agricultural Resources Information System (INARIS) NATP- Mission mode project

  • .

Training Activities


  • Course Co-Director of the CAFT training program on Advance Computational and statistical tools for ‘Omics’ data analysis during 1st Dec-21st Dec 2016
  • Course Co-ordinator of the NAIP training program on Oracle Database 11g: Administration during 19th May - 23rd May 2014
  • Course Co-Director of the CAFT training program on Computational and statistical advances in bioinformatics for ‘Omics’ data during 21st Jan-10th Feb 2014
  • Course Co-ordinator for training on High Performance Computing at IASRI New Delhi during 12th to 17th May 2014.
  • Course Director for 21 days training on Development of Portals Using LAMP Technology" under the aegis of Center of Advanced Studies (CAS) during 1st Feb 2006 to 21st Feb 2006.
  • Delivering lectures and conducting practicals in various sponsored training programs

Foreign Visit


  • Cornell University, Ithaca, New York, USA
  • IOWA State University of Science and Technology, Ames, Iowa, USA

Awards, Honours and Recognitions


  • Fellowship Award, Society for Scientific Development in Agriculture and Technology, Meerut (UP) India in 2013.
  • Scientist of the Year Award, Society for Recent Development in Agriculture on the occasion of National Symposium on “Scenario of Agriculture in Changing Climatic Conditions” held on Oct 18, 2008 at SVBP University of Agriculture & Technology, Meerut.
  • South Asia Manthan Award, Project “Expert System on Wheat Crop Management” by Digital Empowerment Foundation in 2009.
  • Praise-Reward for Excellent Performance under ICAR Institute Category for the stall of “Computer Application, IASRI” in Krishi Vigyan Mela at IARI New Delhi during 4-6 March 2010.
  • Appreciation letter from DDG (Agricultutral Engineering) for the contributions made as a team member in the Data warehouse project "Integrated National Agricultural Resources Information System" in 2005.
  • First prize in the poster pratiyogita for Paper entitled “Expert system for selection of wheat varieties in Hindi” at IASRI, New Delhi on 12th Sept 2009.
  • Membership certificate of honours for valued reviewer from International Jounral of Bioinformatics Research on 15th June 2017.
  • Session Chair, Software Engineering and Testing of 5th International Conference on Reliability, Infocom Technologies and. Optimization (ICRITO 2016). (Trends and Future directions) during 7-9th Sep. 2016 at AIIT, Amity University, Noida.
  • Session Chair, IT Applications of 4th International Conference on Reliability, Infocom Technologies and. Optimization (ICRITO 2015). (Trends and Future directions) during 2-4th Sep. 2015 at AIIT, Amity University, Noida.
  • Dual Faculty Member in the disciplines of Computer Applications and Bioinformatics at PG School, ICAR-IARI, New Delhi.
  • Invited speaker for many talks and delivered lectures outside and within the Institute.

Important Publications


  • Mishra Dwijesh Chandra *, Kumar Sanjeev, Lal SB, Saha Arijit, Chaturvedi KK,Budhlakoti Neeraj and Rai Anil (2018). TAGPT: A Web Server for Prediction of Trait Associated Genes using Gene Expression Data. Annals of Genetics and Genetic Disorders. 1(1): 1003.

  • अनु शर्मा, ज्योतिका भाटी, शशि भूषण लाल, कृष्ण कुमार चतुर्वेदी, मोहम्मद समीर फ़ारूकी और अनिल राय (2018). संगणनात्मक विधियों के द्वारा अरहर में माइक्रो-आर.एन.ए. की पहचान एवं उसका विवरण, भारतीय कृषि अनुसंधान पत्रिका, 33(1), 51-57.

  • Hukam C. Rawal, S. V. Amitha Mithra, Kirti Arora, Vishesh Kumar, Neha Goel, Dwijesh Chandra Mishra, K. K. Chaturvedi, Anil Rai, S. Vimala Devi, T. R. Sharma and Amolkumar U. Solanke (2018) . Genome-Wide Analysis in Wild and Cultivated Oryza Species Reveals Abundance of NBS Genes in Progenitors of Cultivated Rice. Plant Molecular Biology Reporter. Pages 1-14, iconpdf

  • Kumar A, Farooqi MS, Mishra DC, Kumar S, Rai A, Chaturvedi KK, Lal SB, Sharma, A. (2018). Prediction of miRNA and Identification of their Relationship Network Related to Late Blight Disease of Potato. Microrna. 7(1):11-19. doi: 10.2174/2211536607666171213123038. PubMed PMID: 29237394.

  • Mishra, DC, Smita, S, Singh I, Devi, MN, Kumar S, Farooqi, MS, Chaturvedi, KK, Rai, A (2017). Prediction of novel putative miRNAs and their targets in buffalo. Indian Journal of Animal Sciences , 87(1), 59–63.

  • Himanshu, Chaturvedi, KK, Bandopadhyay, A and Jain, S (2017). PATRICIA Trie based Time and Memory Optimization for fast Network Motif Search. Indian Journal of Animal Sciences. 87(4):512-519.

  • Islam, S, Sharma, RK, Chhokar, RS, Dhar, S, Sabir, N, Chaturvedi,KK Singh, R, Farooqi, MS and Sharma, K (2017). Expert system for the identification and control of weeds in wheat crop. Annals of Agricultural Research, New Series. 38(2):1-9

  • Srivastava,S, Lal, SB, Mishra, DC, Angadi, UB, Chaturvedi, KK , Rai, SN and Rai, A (2016). An efficient algorithm for protein structure comparison using elastic shape analysis. Algorithms for Molecular Biology. 11-27. DOI: 10.1186/s13015-016-0089-1.[SCI-Thomson Reutors: 1.439].

  • Patil, VU, Vanishree, G, Hegde, V, Chaturvedi, KK and Chakrabarti, SK (2016). Computational Analysis of Short Tandem Repeat (STR) Markers from Genome Wide Expression Regions of Sugar Beet (Beeta vulgaris). Journal of Applied Bioinformatics and Computational Biology, 5:1. doi: 10.4172/2329-9533.1000125.

  • Farooqi, MS, Mishra, DC, Rai, N, Singh, DP, Rai, A, Chaturvedi, KK, Prabha, R and Kaur, M (2016). Genome-wide relative analysis of codon usage bias and codon context pattern in the bacteria Salinibacter ruber, Chromohalobacter salexigens and Rhizobium etli. Biochemistry and Analytical Biochemistry. 5:257. doi:10.4172/2161-1009.1000257.

  • Patil,VU, Vanishree, G, Kardile, HB, Jindal, V, Dutta, SK, Chaturvedi, KK and Chakrabarti, SK (2016). In Silico Analysis of Genome wide microsatellite DNA marker in Coffee (Coffea arabica L.). International Journal of Computational Bioinformatics and In Silico Modeling. 5(3):815-818.

  • Singh, BK, Mishra, DC, Yadav, S, Supriya, A, Era, V, Tribhuvan, KU, Kumar, A, Kumar, S, Kumar, S, Chaturvedi, KK, Rani R, Yadav P, Rai, A, Rai, PK, Singh, VV, Singh, D (2016). Identification, characterization, validation and cross-species amplification of genic-SSRs in Indian Mustard (Brassica juncea). Journal of Plant Biochemistry and Biotechnology. DOI:10.1007/s13562-016-0353-y.

  • Singh, VB, Chaturvedi, KK, Khatri, SK and Kumar, V (2015). Bug prediction modeling using complexity of code changes. International Journal of System Assurance and Engineering Management, 6(1):44-60.

  • Sharma, N, Farooqi, MS, Chaturvedi, KK, Lal, SB, Grover, M, Rai, A, and Pandey, P (2014). The Halophile Protein Database, Database (Oxford). 2014; doi:10.1093/database/bau114.

  • Farooqi, Ms, Sanjkta, RK, Mishra, DC, Singh, DP, Rai, A, Chaturvedi, KK,Sharma, N(2014). In slico Analysis of Synonymous Codon Usage Pattern of Rhizobium etili CFn 42. Proceedings of the National Academy of Sciences, India, Section B: Biological Science. 10.1007/s40011-014-0457-x. [NAAS Rating :6.4].

  • Chaturvedi, KK, Kapur, PK, Anand, S, and Singh,VB (2014). Predicting the complexity of codechanges using entropy based measures. International Journal of System Assurance and Engineering Management, 5(2): 155-164.

  • Chaturvedi, KK and Singh, VB(2013). Bug prediction using entropy based measures. International Journal Knowledge Engineering and Data Mining, 2(4): 266-291.

  • Lal, SB, Pandey, Pankaj, K, Rai, Punit K, Rai, Anil, Sharma, Anu and Chaturvedi, KK (2013). Designand development of portal for biological database in agriculture. Bioinformation, 9(11): 588-598.

  • Kumar, V, Singh, KH, Chaturvedi, KK and Nanjundan, J (2013). Design and implementationof web-based database of rapeseed-mustardgermplasm using Linux - Apache - MySQL – PHP(LAMP) technology. African Journal of Agricultural Research, 8(22): 2733-2743.

  • Sanjukta, RK, Farooqi, MS, Sharma, N, Rai, N, Mishra, DC, Rai, A, Singh, DP, Chaturvedi, KK (2013). Statistical Analysis of codon usage in extremely halophilic bacterium, Salinibacter ruber DSM 13855. Online Journal of Bioinformatics, 14(1): 15-31. iconpdf

  • Sanjukta, RK, Farooqi, MS, Rai, Anil, Mishra DC, Sharma, NK, Chaturvedi, KK (2013). Statistical and computational methods for detection of synonymous codon usage patterns and gene expression. International Journal of Agricultural and Statistical Sciences, 9(1), June 2013.

  • Dahiya, S, Chaturvedi, KK,Jaggi, S, Bhardwaj, A, Varghese, C. (2012). A Digital Eduction Initiative in Agriculture. Journal of Farming Systems Research and Development ,, 18(2): 175-179.

  • Dahiya, S, Jaggi, S, Chaturvedi, KK, Bhardwaj, A, Goyal, RC, Varghese, C (2012). An eLearning System for Agricultural Education. Indian Journal of Extension Education, 12(3): 132-135.

  • Islam, S, Kundu, S, Shoran, S, Sabir, N, Sharma, K, Farooqi, S, Singh, R, Agarwal, HO, Chaturvedi, KK, Shrama, RK, Sharma, AK (2012). Selection of Wheat (triticum aestivum) Variety through Expert System. Indian Journal of Agricultural Sciences, 82(1): 39-43.

  • Chaturvedi, KK , Singh, VB (2012). An Empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Closed Source Projects. International Journal of Open Source Software and Processes (IJOSSP), 4(2): 32-59.

  • Singh, VB, Chaturvedi, KK (2011). Bug Tracking and Reliability Assessment System (BTRAS). International Journal of Software Engineering and Its Applications, 5(4): 17-30.

  • Chaturvedi, KK, Rai, A, Dubey, VK, and Malhotra, PK (2008). On-line Analytical Processing in Agriculture using Multi-dimensional cubes. Journal of Indian Society of Agricultural Statistics, 62(1): 56-64.

  • Rai, A, Dubey, V, Chaturvedi, KK, and Malhotra, PK (2008). Design and Development of data mart for Animal Resources. Computers and Electronics in Agriculture, 64(2): 111-119.

  • Rai, A, Dubey, V, Chaturvedi, KK and Malhotra, PK (2007). Issues of Design and Development of Agricultural Data Warehouse in India. CSI Communications, 31(1): 43-51.

  • Rai, A, Malhotra, PK, Sharma SD and Chaturvedi, KK (2007). Data Warehousing for Agricultural Research - An Integrated Approach for Decision Making. Journal of Indian Society of Agricultural Statistics, 61(2): 264-273.

  • Devraj, Chaturvedi, KK (2003). Internet for Technology Transfer in Agriculture. Agriculture Extension Review, March-April 2003. pp 3-6.

  • Devraj, Chaturvedi, KK and Singh, P.K. (2001).Multimedia: An Emerging technology for Agricultural Extension. Agriculture Extension Review, Sept-Oct 2001. pp 3-8.


  • Conference Proceedings


  • Singh VB, Chaturvedi, KK, Khatri S, Sharma M (2017). Complexity of the Code Changes and Issues Dependent Approach to Determine the Release Time of Software Product. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science, vol 10408. pp. 519-529. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-62404-4_39

  • Chaturvedi, KK, Khatri, S, Sharma, M, Srivsatava, RC, and Singh VB (2016). Mining Software Engineering Repositories: Issues and Challenges. In proceedings of 50th Golden Jubilee Annual Convention on “Digital Life” of CSI 2015, BVICM, New Delhi. [Accepted in proceedings by Springer]

  • Majumdar, PG, Rai, N, Mishra, DC, Kumar S, Rai, A, Chaturvedi, KK, Lal, SB, Kumar, A, Archak, S, and Farooqi, MS (2016). Genome Analysis of Rhizobium Species using Codon Usage Bias Tools. In proceedings of International Conference on Bioinformatics and Systems Biology organized by IIIT Allahabad during 4-6 March 2016.IEEE #38295

  • Bharadwaj, A, Chowdhary, IR, Islam, SN, Chaturvedi, KK, Sahoo, PM, and Paul, RK (2016).Interpolating Climate Data using wTICD: A Web Based Tool. In: Proceedings of the 10th INDIACom and 3rd International Conference on “Computing for Sustainable Global Development”, 16th - 18th March, 2016 at BVICAM, New Delhi (INDIA); INDIACom-2016; IEEE Conference ID: 37465. PP. 5608-5614

  • Chaturvedi, KK,Singh, VB, and Khatri, SK (2013).A Study of bug prediction approaches using Mozilla Project. In Proceedings of International Conference on Reliability, Infocom Techonologies and Optimization (ICRITO 2013) during 29-31 Jan.2013 held at Amity University, Noida, UP (India). pg. 96-102. ISBN:978-93-81583-85-2.

  • Sharma, Meera, Chaturvedi, KK,and Singh, VB, (2013). Severity Prediction of Bug Reports in Cross Project Context. In Proceedings of International Conference on Reliability, Infocom Techonologies and Optimization (ICRITO 2013) during 29-31 Jan.2013 held at Amity University, Noida, UP (India). pg. 96-102.ISBN: 978-93-81583-85-2.

  • Singh, VB, Chaturvedi, KK, (2013). Improving the quality of software by quantify the Code Change Metric and Predicting the Bugs. In B. Murgant et al. (Eds.):ICCSA 2013, Part II, LNCS 7972, pp. 408-426,2013.@ Spring-Verlag Berlin Geidelberg .

  • Singh, VB, Chaturvedi, KK and Singh, P. (2013).Tools in Mining Software Repositories: A Comparative Study. Proc. 13th International Conference on Computational Science and Its Applications (ICCSA 2013), IEEE, Ho Chi Minh City, Vietnam, pp 89-98.

  • Singh, VB, Chaturvedi, KK, Bedi, P, and Misra, S. (2013). An Empirical Validation of the Complexity of Code Changes and Bugs in Predicting the Release Time of Open Source Software. Proc. 16th IEEE International Conference on Computational Science and Engineering, pp 1201-1206.

  • Sharma, M, Bedi, P, Chaturvedi, KK, Singh, VB (2012). Predicting the priority of a reported bug using machine learning techniques and cross project validation. Proc. 12th International Conference on Intelligent Systems Design and Applications (ISDA), pp 539-545.

  • Singh, VB, Chaturvedi, KK (2012). Entropy based Bug Prediction using Support Vector Regression. Proc. 12th International Conference on Intelligent Systems Design and Applications (ISDA), pp 746-751.

  • Chaturvedi, KK, Singh, VB (2012). Determining Bug severity using machine learning techniques. Proc. 6th International Conference on Software Engineering (CONSEG),pp 1-6.

  • Islam, SN, Chaturvedi, KK, Sharma, K, Sharma, AK, Singh, R, Sikarwar, HS, Sharma, RK (2007). Knowledge Engineering for an Expert System on Wheat Crop Management. Proc. 3rd India International Connefernce on Artificial Intelligence (IICAI), pp 1636-1647.

  • Kumar, NR, Muralidharan, K, Sairam, CV, Palaniswamy,C, Arulraj, RDS, Rai, A, Dubey, V, Chaturvedi, KK, K Sreedharan, PK Vinod Kumar, BM Chulaki (2002). Design of Data Marts for plantation crops. Proc. 15th Plantation Crops Symposium Placrosym XV, Mysore, India, pp 784-790.


  • Book Chapters/Popular Articles


  • Chaturvedi, KK, Rai, A, Farooqi, MS, Lal, SB, Kumar, V, Angadi, UB (2017). Role of Information and Communication Technologies on Climate Dependant Agriculture in book "Climate Change and Sustainable Agriculture" Edited by P Suresh Kumar, Manish Kanwat, PD Meena, Vinod Kumar, Rajesh A. Alone, pp: 343-356. New India Publishing Agency (NIPA) Publication ISBN: 9789385516726.

  • Lal, SB, Sharma, A, Chaturvedi, KK, Farooqi, MS, Kumar, S, Mishra, DC, and Jha, M (2017). State of the Art Information Retrieval Tools for Biological Resources" by in Book "Web Semantics for Textual and Visual Information Retrieval" Eds. Singh, A., Dey, N., Ashour, A.S. and Santhi, V. IGI-Global, DOI: 10.4018/978-1-5225-2483-0.

  • Angadi, UB and Chaturvedi, KK (2016). ICT in Agriculture in Book "Analytical Techniques for Decision Making in Agriculture" Eds. Raju, S.S., Jain, R. and Ahuja U. Daya Publishing House®, A Division of Astral International Pvt. Ltd.New Delhi. pp. 253-264

  • Snajukta, RK,Farooqi, MS, Mishra, DC, Sharma, N, Rai, A and Chaturvedi, KK (2013). Analysis of Synonymous codon usage pattern in Book "Agro Biodiversity Informatics" Eds. Balakrishnan, M and Saom, SK. In 2014, pp.141-156..

  • Chaturvedi, KK, Lal, SB, Sharma, N, arooqi, MS and Mishra, DC (2013).सूक्ष्मजीवों में जीनों की अभिव्यक्ति. नई उम्मीद, 5(1).

  • Farooqi, MS, Bhardwaj, A, Chaturvedi, KK, Islam, S.N. (2012). " Introduction to SAS Enterprise Miner" in the Book " Data Mining Techniqes for farm Animal Management" Eds . A.P. Ruhil, T. K. Mohanty, And S.S. Lathwal and Published by Publisher: Agro Tech Publishing Academiy Udaipur. Pg. 330-345.

  • Rai, A, Chaturvedi, KK, Bhatia, VK, Ramasubramaniam, V (2011). Impact Assessment of Information and Communication Techonology of Food Grain Production in India. In book " Evaluation and Impact Assessment of Technology and Development Activities in Agriculture ", Fishries, and Allied Fields. Eds. Roy, A.K., New India Publishing Agency Pitam Pura, New Delhi-110088.391-410.

  • Sharma, N, Rai, A, Chaturvedi, KK, Farooqi, MS (2011). Bioinformatics: Future Application in Microbiology. In the Book “Emerging Trends: Applied Biotechnology” by Sharma, N, Rathore, M, publishers: Lambert Academic Publishing House Germany. pp 106-121.

  • Farooqi, MS, Islam, S, Chaturvedi , KK, Sharma, K, Sikarwar, HS (2008). Identifying Insects through Expert System on Wheat Crop Management – An information Technology Innovation. In book " Social Science Perspectives in Agriculture- A thrust for Integration." 520-523.

  • Rai, A, Chaturvedi, KK and Malhotra, PK (2008). Design and Development of Fisheries Data Mart. Applied Bioinformatics Statistics and Economics in Fisheries Research Eds. Ajit Kumar Roy and Niranjan Sarangi, pp.261-292, New India Publishing Agency, New Delhi.

  • Rai, A, Dubey, V, Chaturvedi, KK and Malhotra, PK (2007).Implementation of fisheries data marts. In book " Bioinformatics and statistics in fisheries research-Vol-III. " 90-109.


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