Dr. Sanjeev did his B.Sc. (Mathematics), MCA (Honors), and M.Tech in CSE, PhD in Computer & Information Technology, and D.Sc. He has Joined Bhilai Institute of Technology (BIT) Durg in the capacity of Associate professor in 2010. He has received Young Scientist Award from Chhattisgarh Council of Science Technology-CCOST, Raipur, India in 2007. Other than that he has received five different awards at National level. He has presented and published 45 research papers in National Conference/International Conferences. He has published 50 research papers in National/International Journals. He has published 08 books International publisher of Germany, Singapore, Malaysia, and India. His research area includes, artificial neural Network (ANN), Cryptograph “RSA”, Software Engineering, and Forecasting. He has organized many National level Conferences. Recently 2 Scholar awarded PhD degree and 01 submitted under his guidance. Presently he is guiding 06 PhD scholars at CSVTU Bhilai. He completed one research project and at present one research project is running. His present responsibilities other then task as associate professor as are, IEEE Transaction Reviewer, Member of Advisory Board International Journal of Artificial Neural Network, Co-Editor of CSVTU Research Journal, CSVTU Bhilai, Chhattisgarh, India, Secretary IRNet Research Network India Chhattisgarh Chapter, Supervisor and Co-Supervisor of PhD Program in the CSVTU Bhilai and CV Raman University, Bilaspur, Chhattisgarh, India, Expert (Computer Science) Board of Study, Kayan PG Collage, Bhilai, Chhattisgarh India. He is a member of International Association of Engineers, USA, International Association of Hydrological Science (IAHS), USA, Life member of Indian Society of Soil Survey and Land Use Planning Nagpur, India, Governing member of International Consortium of Scientist and researchers, USA. He is master trainer of Tata Institute of Social Sciences, Mumbai. Recently he hosted an official scientific website for agriculture meteorology .in in association with National Beaureu of Soil Survey and land use planning, Government of India named as Chhattisgarh Soil and metrological information system. He has 09 copyright/patent of his research work from Government of India.
About Faculty
Dr. Sanjeev Karmakar
| Employee ID | 10131 |
| Date of Joining | 01-01-2006 |
| Nature of Association | Regular |
| Department | Computer Applications |
| Designation | Professor |
| Educational Qualification | DSc, PhD, ME (CSE), MCA |
| sanjeev.karmakar@bitdurg.ac.in | |
| Contact Number | Extension No. 219, Global Directory No. 8231 |
Areas of Interest
Neural Network, Advanced Programming, Software Project Management
Publications
Journals
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[1]. |
Karmakar, S., and Mongraj (2006): Decision support agro-expert system with mobile set, Indian J. Telecomm., 51(1), 20-24. |
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[2]. |
Karmakar S, Kowar MK, Guhathakurta P, (Apr., 2009): Evolving and Evaluation of 3LP FFBP Deterministic ANN Model for District Level Long Range Monsoon Rainfall Prediction, J. Env. Sci. & Engg., NEERI, CSIR, 51 (2), 137-144. 0367-827X, (CSIR Journal), SCOPUS, IF: 0.4, H-Index: 23) Cited by 4 |
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[3]. |
Karmakar S, Kowar MK, Guhathakurta P, (2009): Long Range Summer Monsoon Rainfall Forecasting over Subdivision Chhattisgarh by Deterministic Neural Network, CSVTU Res. J., 2 (1), 37-41. |
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[4] |
Karmakar S, Kowar MK, Guhathakurta P, (2009): Development of ANN Models for Temperature parameters pattern recognition over the smaller scale geographical region- District, Int. J. of Engg. Res. & Indu. Appls, 1 (4), 111-121. |
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[5]. |
Karmakar. S, Kowar, M. K, Guhathakurta P, (2009): Artificial Neural Network Skeleton in Deterministic Forecast to Recognize Pattern of TMRF Ambikapur District, CSVTU Res. J., 2 (2), 41-45. |
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[6]. |
Karmakar S, Kowar MK, Guhathakurta P, (2010): Development of a 6 Parameter Artificial Neural Network Model for Long-Range July Rainfall Pattern Recognition over the Smaller Scale Geographical Region –District, CSVTU Res. J., 3 (1), 36-40. |
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[7]. |
Pawan Patnaik, Sanjeev Karmakar, Jyoti Singh (2011): Algorithm for One Dimensional Pattern Matching In DNA Sequences Using Finite Automata, CSVTU Res. J., 4 (1), 59-63. |
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[8]. |
Pawan Patnaik, Sanjeev Karmakar, Jyoti Singh (2012): Analysis and Design of Algorithm for Two Dimensional Pattern Matching and their Application, CSVTU Res. J., 4 (2), 49-56. |
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[9]. |
Bennykutty Varghese, Gyanesh Shrivastava, Sanjeev Karmakar, Manoj Kumar Kowar, Pulak Guhathakurta, 2012: Architecture of Artificial Neural Network in Identification of Internal Dynamics and Prediction of Dynamic System Rainfall Data Time Series, Int. J. Comp. Sci. Informatics, 1 (4), 1-9. |
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[10]. |
G Shrivastava, S Karmakar, M.K. Kowar, P. Guhathakurta, Application of Artificial Neural Networks in Weather Forecasting: A Comprehensive Literature Review, Int. J. Comp. Appl., 51 (18), 17-29. Cited by 53 |
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[11]. |
Samta Gajbhiye, Sanjeev Karmakar and Monisha Sharma (2012): Application of Elliptic Curve Method in Cryptography: A Literature Review, Int. J. Comp., Sci., & Info., Tech., 3 (3), 4499 – 4503. Cited by 6 |
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[12]. |
Samta Gajbhiye, Sanjeev Karmakar and Monisha Sharma (2012): Study of Finite Field over Elliptic Curve: Arithmetic Means, Int. J. Comp. Appl., 45 (17), 32-38. |
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[13]. |
Deepti Chandra, Sanjeev Karmakar, Rajendra Hegadi, 2013: Techniques of Facial Synthesis: A Comprehensive Literature Review, Int. J. Comp. Appl., 61(10), 34-41. |
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[14]. |
Amit Biswas, Sanjeev Karmakar, Sanjay Sharma, (Dec., 2013): Fast Fractal Image Compression by Pixels Pattern using Fuzzy C-Means, J. Engg. Res. 1 (3), 109-121. 2307-1877 SCIE/SCOPUS, IF: 0.25, H-Index: 7 |
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[15]. |
G Shrivastava, S Karmakar, M.K. Kowar, P. Guhathakurta, (Oct., 2013): BPN Model for Long-Range Forecast of Monsoon Rainfall over a Very Smaller Geographical Region and Its Verification for 2012, J. GEOFIZIKA, 30, 49-66. 0352-3659. Croatia. SCIE/SCOPUS, IF: 1.135, H-Index: 15 |
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[16]. |
S Karmakar, G Shrivastava, and M.K. Kowar, (Apr., 2014): Impact of Learning Rate and Momentum Factor in the Performance of Back-Propagation Neural Network to Identify Internal Dynamics of Chaotic Motion, Kuwait J. Sci. 41 (2), 151-174. 2307-4108 SCIE Journal. IF: 0.69, H-Index: 7 Cited by 14 |
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[17]. |
Poonam Sao, Rajendra Hegadi, Sanjeev Karmakar, 2014: A Literature Review on Approaches of ECG Pattern recognition, Int. J. Info. Sci. & Inte. Sys., 2(1), 1-3. |
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[18]. |
Samta Gajbhiye, Sanjeev Karmakar ,*, Monisha Sharma , and Sanjay Sharma, 2015: Attacks on Bluetooth and its Security: A Comprehensive Literature Review (Review Article), Journal of Applied Sciences Research. 2(1), pp58-69. |
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[19] |
Deepti Chandra, Rajendra Hegadi, Sanjeev Karmakar., A Survey paper on Facial Expression Synthesis using Artificial Neural Network, Int., J. Comp., Appl., IJCA Proceedings on National Conference on Knowledge, Innovation in Technology and Engineering NCKITE 2015(1):19-26, July 2015. |
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[20] |
Abhishek Shukla, Sanjeev Karmakar, 2015., Identification of Global Minima of Back-Propagation Neural Network in the Prediction of Chaotic Motion, Int., J. Comp., Appl, 112(4), 1-4, USA. |
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[21] |
Amrendra Kumar Singh, Sanjeev Karmakar, Sanjay Sharma, Trends of Web Based Attack on Last Decades and their Effects, Int. J. Sci. Res. & Development, 3(2), pp. 161-163. (IF: 1.82). |
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[22] |
Amit Kumar Biswas, Sanjeev Karmakar, Sanjay Sharma, 2015., Performance of Fractal Image Compression for Medical Images: A Comprehensive Literature Review, Int. J. Appld. Info. Sys. 8(4), Foundation of Computer Science FCS, New York, USA. Citation: 02 |
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[23]. |
Sanjeev Karmakar, Siddhartha Choubey (2015), Contemporary RSA- 1024 Cryptosystem: A Comprehensive Review Article, Communications on Applied Electronics (CAE), 3(1), 12-18, FCS, New York, USA.
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[24]. |
Sanjeev Karmakar, Siddhartha Choubey (2015), Pragmatic Implementation of RSA-1024 Cryptography, Communications on Applied Electronics (CAE), 3(1), 19-27, FCS, New York, USA. |
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[25]. |
Samta Gajbhiye, Sanjeev Karmakar, Monisha Sharma, (2015): Diffie-Hellman Key Agreement with Elliptic Curve Discrete Logarithm Problem, International Journal of Computer Applications, 129 (12), pp.25-27. |
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[26] |
Poonam Sao, Rajendra Hegadi , Sanjeev Karmakar, ECG Signal Analysis Using Artificial Neural Network, International Journal of Science and Research (IJSR), Special Issue, National Conference on Knowledge, Innovation in Technology and Engineering (NCKITE), 10-11 April 2015, pp. 82-86. 2319-7064. |
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[27]. |
Sanjeev Karmakar, Development of Agriculture Meteorological Information System of System (SoS) ‘AgrimetCast’ in the context of rural areas of Chhattisgarh (India) using BSNL Communication Network, 2016. BSNL Telecommunications Journal, BSNL India. , 60(2), pp. ??, India. |
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[28]. |
Amit Biswas, Sanjeev Karmakar, Sanjay Sharma, (Apr., 2016), Fuzzy based factorial compression for medical images by using pixel pattern, International Journal of Imaging and Robotics, 16(2), 59-64. 2231-525X (SCOPUS Indexed, IF: 0.31, H-Index: 9 |
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[29]. |
Sanjeev Karmakar, Siddartha Choubey, Pradeep Mishra, Neural Network Modeling for Spatial Interpolation of Climate Variable: A case for Central India (Chhattisgarh), International Journal of Applied Information Systems (IJAIS), FCA, New York, USA. |
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[30] |
Usha Sharma, Sanjeev Karmakar, Navita Shrivastava, Application of Back-Propagation Neural Network in Horoscope Prediction, International Journal of Applied Information Systems (IJAIS), Volume 11 – No. 2, July 2016 – www.ijais.org, ISSN : 2249-0868. |
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[31] |
Usha Sharma, Sanjeev Karmakar, Navita Shrivastava, Recent Application of Neural Network in Prediction of Non-Linear and Dynamic System: A Review Article, International Journal of Advanced Research in Computer and Communication Engineering, 5(9), pp. 149-153. |
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[32] |
Sanjeev Karmakar, Artificial Intelligent Climate Forecasting System (AI-CFS) for long range forecast of SW Monsoon Rainfall…, J. ICSR, 18(1), April 2017, 18.1.3.1-15. UGC Approved, IF: 7.383, H-Index: 14 |
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[33] |
Sanjeev Karmakar, Soil and Meteorological Information System, J. ICSR, 18(1), April 2017, pp. 18.1.1.1- 15. UGC Approved, IF: 7.383, H-Index: 14 |
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[34] |
Samta Gajbhiye, Sanjeev Krmakar, Monisha Sharma, Sanjay Sharma, Design and analysis of pairing protocol for bluetooth enabled devices using R-LWE Lattice-based cryptography, Journal of Information Security and Applications, 35, August 2017,pp. 44-50, 2214-2126. SCIE/SCOPUS, IF:0.39, H-Index: 31 |
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[35] |
Anuradha Diwan., Sanjeev Karmakar and Sunita Soni..2017, Suitability of Neural Network For Medical Data Diagnosis: A Comprehensive Literature Review. Int J Recent Sci Res. 8(12), pp. 22442-22455 |
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[36] |
Vertika Shrivastava., Sanjeev Karmakar and Sunita Soni.2017, Suitability of Neural Network for Weather Forecasting:A Comprehensive Literature Review. Int J Recent Sci Res. 8(12), pp. 22300-22316 UGC Approved, IF: 7.383, H-Index: 14 |
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[37] |
Sanjeev Karmakar et al.2017, Recognition of Physically Connected Independent Climate Variables For Seasonal Monsoon Rainfall And Future Forecast Through Ann Modeling Over Rewa District. Int J Recent Sci Res. 8(12), pp. 22153-22157. UGC Approved, IF: 7.383, H-Index: 14 |
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[38] |
Samta Gajbhiye, Sanjeev Karmakar, Monisha Sharma, Two-Party Secure Connection in Bluetooth Enabled Devices, Information Security Journal: A Global Perspective, Vol 27 (1), 2018, PP-43-46. Issn 1939-3555. SCIE/SCOPUS, IF: 0.25, H-Index: 14 |
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[39] |
Mishra, P.K. & Karmakar, S. Performance of optimum neural network in rainfall–runoff modeling over a river basin, Int. J. Environ. Sci. Technol. (2018). https://doi.org/10.1007/s13762-018-1726-7, Springer Berlin Heidelberg, 1735-1472, pp-1-14. Vol. 15 (Issue 92). SCIE/SCOPUS, IF: IF 3.83 (2010)., H-Index: 61 |
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[40] |
Gyanesh Shrivastava & Sanjeev Karmakar, (2018), Pragmatic study based on neural network for forecasting long-range monsoon rainfall over smaller geographical region, International Journal of Computer Engineering and Applications, Vo. 12 (6), ISSN 2321-3469, Apr. 2018. pp. 575-591. UGC approved Sr. No. 44835. IF 5.859 (2017) , H-Index: 23 |
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[41] |
Facial expression synthesis images using hybrid neural network with particle swarm optimization techniques, Int. J. Biomedical Engineering and Technology, Inderscience Enterprises Ltd, Vo. 10, pp-1-20. ISSN print: 1752-6418, Scopus (Elsevier). SCIE/SCOPUS, IF: 0.0.451, H-Index: 15 |
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[42] |
Performance of back-propagation neural network in chaotic data time series forecasting and evaluation over parametric forecast: a case study for rainfall-runoff modelling over a river basin, Int. j. inf. tecnol. https://doi.org/10.1007/s41870-018-0214-0, Springer. SCIE/SCOPUS IF: 4.435 |
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[43] |
Sanjeev Karmakar, Suitability of neural network techniques for rainfall-runoff modelling over a river basin: a comprehensive literature review, i-manager’s Journal on Future Engineering & Technology, 13·( 4), pp. 68-83,· May - July 2018. UGC Approved. IF:6.476 |
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[44] |
Bluetooth Secure Simple Pairing with enhanced security level, Journal of Information Security and Applications, 44 (2019), 170–183. SCIE/SCOPUS, IF: 0.39, H-Index: 31 |
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[45] |
Sanjeev Karmakar, Gyan Ranjan Biswal, Performance of condensate-vacuum-and-extraction pump of bsp with process optimization and optimum neural network based learning system, i-manager’s Journal on Power Systems Engineering, 6 (3), 15-25, August - October 2018. UGC Approved, IF : 0.50, H-Index:08 |
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[47] |
Modeling and simulation of OBPN for forecasting of long-range monsoon AWR over a smaller homogeneous region through astrological parameters and its verification for 2019. Iran Journal of Computer Science, Springer. |
International Conference
[1]. Development of an 8-Parameter Probabilistic Artificial Neural Network Model for Long-Range Monsoon Rainfall Pattern Recognition over the Smaller Scale Geographical Region –District, Proc. of First International Conference on Emerging Trends in Engineering and Technology, Nagpur India, IEEE Xplore, Washington ‘DC’, USA, Dec. 2008. ISBN: 978-0-7695-3267-7.
[2]. Development of Artificial Neural Network Models for Long-Range Meteorological Parameters Pattern Recognition over the Smaller Scale Geographical Region-District, IEEE Region 10 and the Third international Conference on Industrial and Information Systems, 2008. ICIIS 2008. 8-10 Dec. 2008. IEEE Xplore,, Washington ‘DC’, USA, IEEE Kharagpur & IEEE Srilanka Section, IIT Kharagpur. ISBN: 978-1-4244-2806-9.
[3]. Long-Range Monsoon Rainfall Pattern Recognition and Prediction for the Subdivision ‘EPMB’ Chhattisgarh Using Deterministic and Probabilistic Neural Network. Seventh IEEE International Conference on Advances in Pattern Recognition, 2009. ICAPR ‘09, 4-6 Feb. 2009, IEEE Xplore, Washington DC, USA. Indian Statistical Institute (ISI), Kolkata, India. ISBN: 978-1-4244-3335-3, Cited by 14.
[4]. Spatial interpolation of rainfall variables using artificial neural network, International Conference on Advances in Computing, Communication and Control, ICAC3, 2009, Mumbai, India, IEEE Xplore, ACM New York, USA, Fr. Conceicao Rodrigues College of Engg., Bandra, Mumbai. ISBN: 978-1-60558-351-8.
[5]. An Efficient Algorithm Design for Two Dimensional Pattern Matching, 1st International Conference on Emerging Trends in Soft Computing & ICT, Guru Ghasidas Central University, Bhilaspur, Chhattisgarh, India.
[6]. Deterministic FFBP ANN Design to Recognize Internal Dynamics of Chaotic Motion, 1st International Conference on Emerging Trends in Soft Computing & ICT, Guru Ghasidas Central University, Bhilaspur, Chhattisgarh, India.
[7]. A broad Literature survey of development and application of Artificial Neural networks in Rainfall-Runoff Modelling, Proceedings of Fifth International Conference on Soft Computing for Problem Solving, SocProS 2015, Volume 2, Springer, IIT Roorkee , India, ISBN 978-981-10-0450-6.
[8]. Meteorological Information System ‘Metis’ in the Context of Rural Areas of Chhattisgarh (India), Proc. of Innovative Trends in Applied Physical, Chemical, Mathematical Sciences and Emerging Energy Technology for Sustainable Development” (APCMET-2014), 978-93-83083-71-8, pp. 250-258.
[9]. Design, implementation and security analysis of Bluetooth pairing protocol in NS2, Proc. of IEEE Conference on advances in computing, communications…, Jaipur, India, Sep 2016. 978-1-5090-2028-7.
[10]. Paradigm Shift from Classical Cryptography to Quantum Cryptography, Proceedings of the International Conference on Intelligent Sustainable Systems (ICISS 2017) IEEE Xplore Compliant - Part Number:CFP17M19-ART, ISBN:978-1-5386-1959-9
Books
[1]. Applications Of Neural Network In Long-Range Weather Forecasting ISBN: 978-3-659-26670-6. Lambert Academic Publishing, Germany © copyright © Copyright AV Akademikerverlag GmbH & Co. KG, 2012.
[2]. Development Of Back-Propagation Neural Network For Prediction of Chaotic Data Time Series SBN: 978-3-8325-3304-5, Logos Verlag Berlin, Germany (http://www.logos-verlag.de/) © copyright Logos Verlag Verlin GmbH 2012.
[3]. A Comprehensive Lecture Notes on Rsa-1024 Cryptography ISBN: 978-3-659-31570-1, Lambert Academic Publishing, Germany. © Copyright AV Akademikerverlag GmbH & Co. KG, 2013.
[4]. A Comprehensive Guide For Computer Programming (Part-A), The Institution of Engineers (India).
[5]. A Comprehensive Guide For Computer Programming (Part-B), The Institution of Engineers (India).
[6]. A Practical Guide To Communication Program Developers And Engineering Students, The Institution of Engineers (India).
[7]. Java Rmi For Client/Server Based System Development, The Institution of Engineers (India).
[8]. Forecasting Using Back-Propagation Neural Network ISBN: 978-93-5258-574-8, Xpress Publishing India, Singapore, Malasiya.
Sponsored Project
[1]. Development of a Long Range Monsoon Rainfall Forecasting System at Subdivision Level: A Case Study of Chhattisgarh State, Chhattisgarh Council of Science and Technology (CCOST) Raipur. (Completed).
[2]. Development of a Meteorological Information System (MetIS) (A Case for Villages of Bilaspur District Chhattisgarh), Chhattisgarh Council of Science and Technology (CCOST) Raipur (Completed).
Other Info.
Other Responsibilities:
Executive & Governing Member
[1]. International Association of Engg (IAENG).
[2]. International Association of Hydrological Science (IAHS).
[3]. Indian Society of Soil Survay and Land Use Planning (ISSSLUP) India.
[4]. Governing member : International Consortium of Scientists and Researchers (ICSR).
Editor/Reviewer
[1]. IEEE Trans Reviewer.
[2]. Editor J ICSR
[3]. Co-Editor CSVTU Research Journal.
[4]. International Journal of Neural Network, BioInfo Publications.
Felowship/Awards/Other recognitions:
Awards
[1]. Young Scientist, 5th Young Scientist Congress, Chhattisgarh Council of Science & Technology (CCOST), Raipur & CSVTU Bhilai., 2007.
[2]. Neheru Uttam Chhatra Award, H.S. School examination, 1993, National Mineral Development [3]. Corporation (NMDC), Bailadila, Govt. of India. 1993.
[4]. 1st rank award in B.Sc.-I, II, III examination B.Sc, Examination for the years 1994, 1995, and 1996, [5]. Government Chhattisgarh P.G. College, Raipur, 1994, 1995, and 1996.
[5]. Third Rank, MCA University examination 2000, Pt. R.S.S. Univ., Raipur, 2000.
[6]. Best presenter award, GYANODAYA : National Conference on Network security: 5th generation computer require for accept RSA challenge, GGITS, Jabalpur, 2005.
[7]. Best Presenter Award, National level technical paper presentation contest (Technologia 2005), MPCCET, Bhilai, 2005,
[8]. Appreciation, For Shaping & Texture of CSVTU Research Journal, Honorable Vice-Chancellor, CSVTU Bhilai.
Patent/Copyrights S/W work
[1]. Artificial Intelligent Chaos Forecasting System Version 1.0 (AI-CFS v 1.0).
[2]. Artificial Intelligent Climate Interpolation System Version 1.0 (AI-CFS V 1.0).
[3]. Chhattisgarh Soil Meteorological Information System (www.cgmetis.in) in association with NBSSLUP Government of India
[4]. CR-DCE-SSPv1.0 (Class quantum resistance delayed capability exchange secure simple pairing.)
[5]. SSP-APK-DECE v 1.0. (Secure Simple pairing with authenticated public key exchange and delayed encrypted capability exchange)
[6] Innovative training algorithm of BP neural network up to global minima for n-parametric forecast.
[7]. Innovative algorithm to obtain optimum BP neural network (OBPN) for chaos prediction…
[8]. Pixel-peak based fractal image compression for grayscale images.
[9]. Innovative Training algorithm of Back-Propagation Neural Network up to global minima for Time Series Forecast and Its Software Implementation using Java.
[10]. Astro-Nero system for climate prediction over a river basin.