Information Technology
Phone:-7415289320
Email: jasrajmeena@dtu.ac.in, jasrajengg@gmail.com
Qualifications
B. Tech. (with Hons.) R.T.U. Kota, M. TECH. (with Distinction) NIT Kurukshetra, PhD (NIT Raipur)
Areas of Interest
Parallel and Distributed Computing, Cloud Computing, Green Computing, Internet of Things (IoT), Machine Learning, Security in Cloud, Security in IoT.
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)
- Currently working as an Assistant Professor in the Department of Information Technology at the Delhi Technological University (Formerly Delhi College of Engineering) from November 2016, to till date.
- Worked as an Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Raipur from May 2013 to October 2016.
- Worked as an Assistant Professor in the Department of Computer Science and Application at the GLA University Mathura from July 2012 to May 2013.
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)
International Journals:-
- J. Meena, M. Kumar and M. Vardhan, "Cost Effective Genetic Algorithm for Workflow Scheduling in Cloud Under Deadline Constraint," in IEEE Access, vol. 4, pp. 5065-5082,2016. doi: 10.1109/ACCESS.2016.2593903
- J. Meena, and M. Vardhan, “Cost-effective Heuristic Workflow Scheduling Algorithm in Cloud Under Deadline Constraint” Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), Volume 13, Number 6, 2020, pp. 1302-1317(16) DOI: https://doi.org/10.2174/2213275912666190822113039
- M. Kumar, J. Meena, and M. Vardhan, “Privacy Preserving, Verifiable and Efficient Outsourcing Algorithm for Regression Analysis to a Malicious Cloud,” Journal of Intelligent and Fuzzy System, 2017.
- M. Kumar, J. Meena, and M. Vardhan, “Privacy Preserving, Verifiable and Efficient Outsourcing Algorithm for Matrix Multiplication to a Malicious Cloud Server,” Cogent Engineering Journal- Taylor & Francis, 2017. DOI: 10.1080/23311916.2017.1295783
- J. Meena, M. Kumar, M. Vardhan, and S. Jain, “A systematic review on effective workflow scheduling algorithms in cloud under deadline constraint” International Journal of Control Theory and Applications, 9(41) 2016, pp. 1160-1170
- J., Meena, M. Kumar, and M. Vardhan, “Efficient Utilization of Commodity Computers in Academic Institutes: A Cloud Computing Approach,” International Journal of Computer and Information Engineering vol(9) 2, 2015
International Conferences:-
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J. Meena, and M . Vardhan, “Comparative Analysis of Scientific Workflow Scheduling Algorithms in Cloud Under Budget Constraint Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT)”, held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018.
- Shubham Jain, and J. Meena, “Workflow Scheduling Algorithms in Cloud Computing: An Analysis, Comparison and Provocations authored”, 6th International conference on innovations in computer science & engineering (ICICSE -2018), held at Guru Nanak Institute of Technology August 17-18, 2018
- Mayank Kumar Mittal, Neha Kirar, and Jasraj Meena, “Implementation of Search Engine Optimization Through White Hat Techniques”, IEEE International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) held at Galgotias College of Engineering & Technology (GCET) October 12-13, 2018.
- Neha Kirar, Mayank Kumar Mittal, and Jasraj Meena, “A Survey on Adaptive Cloudlet Placement Methods for Mobile Applications in Wireless Metropolitan Area Networks”, IEEE International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), held at Galgotias College of Engineering & Technology (GCET) October 12-13, 2018.
- J. Meena, R. Garg, and M. Vardhan, “To Optimize Task Scheduling in Heterogeneous Computing Environment,” 2013 7th International conference on Advance Computing and Communication Technologies (ICACCT), Panipat, pp. 13-21, 2013. ISBN: 978-93-83081-38-I
- J. Meena, and M . Vardhan, “A review on effective workflow scheduling algorithms in cloud under budget constraint” IEEE International Conference on recent advances in Energy-efficient computing and communication, held at St. Xavier’s Catholic College of Engineering March 7-8, 2019.
- M. Kumar, J. Meena, R. Singh and M. Vardhan, "Data outsourcing: A threat to confidentiality, integrity, and availability," 2015 IEEE International Conference on Green Computing and Internet of Things (ICGCIoT), Noida, 2015, pp. 1496-1501. doi: 10.1109/ICGCIoT.2015.7380703
- M. Kumar, J. Meena, M. Vardhan, and S. Jain, "Secure and Efficient Regression Analysis Outsourcing Algorithm for Cloud Server," In Proceedings of the International Conference on Advances in Information Communication Technology & Computing (AICTC’16), Bikaner, 2016, pp. 1-6. ACM. Doi: 10.1145/2979779.2979842
- M. Kumar, J. Meena, and M. Vardhan, “Secure & Efficient Deligation of System of Linear Equation to a Malicious Cloud Server", 4th IEEE International Conference on Electronics and Communication Systems (ICECS), 2017, Coimbatore, [Accepted].
- M. Kumar, J. Meena, and M. Vardhan, and Sanjeev Jain “Deligation & Verifiability of Matirx Multiplication to a Malicious Cloud Server” IEEE Seventh POWER INDIA International Conference 2016.
- M. Kumar, J. Meena, and M. Vardhan, “Data Confidentiality and Integrity Preserving Outsourcing Algorithm for System of Linear Equation to a Malicious Cloud Server” International Conference on Smart Technologies in Computer and Communication (SmartTech-2017).
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dRBzX5lv9mxo8jpVqug9usdO9yYwYOL2iQN5dMLFhS1Rz/DdFacy34x1QLD/i7sd2bOeCuHn312lmYurBfn45knnVRw/vHHHeeIkgsj3VL7qCEknHvqqQV10C7p9EirF7YZvmeuvnnnnVl03ZKxY93MESOy17Lx49222bOzPegqERiJFMKR95W1a/tef3v33X1pN4kW3HT99W7uFVe4+VdembXrp9WrVFD77c6djj3k/PY4/urtt7t/3LAhKaaQ9u/Q0qVu/aRJWTrR6cOHZzYjygJ24eCf7rsveb1vxyduvLEo3Sli0ZfWrOmzP3Yh5enKiROz1KCM/+7Jk92X16zps41fZznHCMLYc/eCBW7VxIluzsiRjnGQHvXeqVMzIfmlJ57o60OpOl944IHMbr4tf7BxY9/1ONj/7u67s/nDTqQ4XXnVVa574cIo36n26PcjM2cWMF4ur6k6/z5yL3EfkOqxHH5TqVcnX3qpK8eGRMrC7p2TJmVsMw/wfc+UKdnnrDWpvvufI4LDrj8HpKXFZpxHyV5xRMNyv5JylzE+NX9+cg5YB0hvefvHP571DU44pr8xkd7vD+1xH/j94RgOYql02Usy7P/3NmwomAPOYU3uHD8+W2tI45vdC2vXlh3h5PeRNYDx3Tdtmls0ZowjHTAPIMy8/HLHOrblhhuylLnlzGOt65ffr2Y/Jpr80rPOKvptufaSS7J1M/yNyoukxhawBMvwA68xUY75+/L7vx1wxL5s1V6XZ38YZN265aqrMgaz+2js2Gxd4veqnDWD+mGK30///uC9f79zj3Gvcc/xcA33H+v1gSVLqkqbij3Ye3XHnDkZ36zDrAVbZ83K9mvle/pWq6DWXzYK56FR/Q/b1Xv9MSgGxIAYEANiQAyIATEgBsSAGBADYmDgM9C2ghpw4kTliXUTlawkNePfrF9f5FyuVVDDAcaebtaOlTj5UlFxOKVICWfn0jecYdXeXDjVp152WV99Vi97xXw7si9b76JFRXufDT799EzMCSP82EftP0ci7WICFGNGtDLHWmw8OPwemzs3S4lp/YyV1DXinHPcwaVLow70sO5PrVhRkEKTOhEU/2Pr1qyOWGpOxsZ11BUbD0LnvsWLi+aFMSBa0Mew77DnC1rWTzgjGim1b5ZfD/WOOv/8TJjKs2WeoIbDlZSfsXHTFm0goCKs5bVh/adE2CIa8pqLLy7ix+8/x4NOOikTdRAK/DrCY9oOozW5nnuKe4t0roheRJmGbfD+5BNOyNohYjKsO3xPRBhOZasHG5TiNawjfM+eaP69bHUz/lSEql8H/YYXnNDfveeebO80HMq+Y9w/345xlu+cOzcqalsfKBHO4SCvPuYA8SfkGYc54hXiKcfsZ+nXbccw9uicOX3RsHCCUBgT+e0aBJMvrF6dZI8UfghUdr6VI889N5oaF1uE/WcPLsbNQw+ICn5kotVn5dAzz8zWAvpuNk6VL+7cmQnHqXvL6rTyrJNPzn4L8kTEWtevVF+b8XPW3JA11mKEHATV8GEQ7HzleeclUzRz3yNy2nyUKmmLdKzVXhezOSIhewLmrf/wyzgQaUtxyP9z4Mofyxkf+1hmn9/v3p2JZnn3H+k0N0ydmrsu+ONgneNhhnBerH0+R5RknNUKav1to0b3329PxwP/DyXNkeZIDIgBMSAGxIAYEANiQAyIATEgBnwG2lpQw2lJlIA5eqzESUZEjW8ojmsV1HD8EhVi7VhJewgeYXu8x2HmO9ZSkWSxa2Of4RDHORY6lBEhSEnpX4NIQWSJ9dNKbPajzZvdJWeeWfAddYaiQ+aAnz69qL28NJf0ASdgbL8p60OsxI48XY8w5o8jPI45pNk77+CSJQ5HY6xuhBCibqirXEGN+b7tmmuKIsOoHwf7Z265paif31q/vqSAGOsfgh/ReqmohZSgxphjAmusDfqM+BHaM3yPiEBURcqhGqubz+CJiI+wPnufJ6gh3sXEqlhbRK/898Q+idYWDF3mRb6U4tWuyyuxy8SLLoryRf1E7TH+WFRVXr153/1827YsQiy832N2sc9I8Zra0zFPUEP0KmcO4OL+adOyyJl7p0wpixPY476LjbW/BDVEynFDhkTnx2xjJfNFBBv2iPWJz4gwJXrQrim3ZK4Q4Ylqi9Vd6/oVq7MZP+PhkNjvKdHQRJmlvmfuUutYtcJYtdeFdkdgyhO3Qoa4lxCAGWtYl71PCWq0RbrMctZpYzJPbKc96uSBm7CfsfcI5QifYRQgbbHnrPU/LOthI2ujEf23tlTqjzExIAbEgBgQA2JADIgBMSAGxIAYEAPNyUBbC2o4Q0l3FnM2k1IvdJbWKqiRNvCC004rcjbh0Hqus7PIgUT7ofjFk9+1OtwRcnAqhk6ucMy/3L7dEeXhn4etiGLBie1H8Ng54T5qOBqJWLHvrcTpRvq+2MLBHjTlOuWsPr9EEOAJ9ljdfBZzSBMldH5kbqxeoqAYM9eXI6ghbD04Y4YjPabVYSUORISskC9S6V0e2NuuKackquaTCcErJqjBXSyCI68tRCbShqZsS6pUUnLG7qm8eu075uFzq1ZF68desQg1+pQ3d1a3XxI5R6q21Di+fscdjsgMuyaP11Qd4ef0nzSICL9Wb6xkn7WFo0dn+zwibIWchPWm3hPxNyUSjRprM/wMMTt2D9GXWIQa61oYBRPW6b/nHkBsKseZb9dxbxCRF463PwQ1os54WMHaKqeEOYSbsD+852GNxWPHVn0fYBeilmNzX+v6FetvM37G70TsAQhS1dpazV6pMcb4HbVz/LFXK4xVe53fNpHnsdTIpVjkYZi1117bF/Xp18lxTFDj/iMqMxXNG2sTO8YeNLL2SENZjqDu102d4XqYJ6jVy0aMoRH9N1upbM4/mDRvmjcxIAbEgBgQA2JADIgBMSAGxIAYgIGGCWo4TlZMmJA9eczTx6VeT8ybF027SKcRlIhE8h0zHJOC8Iu33RZ1cKaA71q4sMihQ12Wwsy/rhZBjegUnHgxoQERgegIvy2Occr60UNcS7q08LxK3xNdFnN8EbnjP4GO8ypMVebvu8XT5aEzbMjpp2eRfNYnojSI/grnKrXvEw5zUhiG59t7HIDYixSVYdt2DiWijj8W6w9lzCHtXxsewy57yVgdpQQ1nOA4csOUmNTLZzglwzRdXINQGY7phOOOy6IwmPdnly3LXogyo88/P8oSQghCqPXVypig5o8Tu2J3UnERHRPjg/M578n584vqpx3uSyIewjH47eDIRTDCpv7n/jFCBfuNWd+txEYxQc2/lmOEHURVBJiYoMk59JG96ZIRffPmFYwjxav1rdySyLhQpA7777/nnkfMY+0kLWReKkC/D6RyY6+02Fxge/ZytP0Iw3vc2iftXCg6MAcxQc2uoYTxSUOHZmnriMjLm2u7jj6QtpFUpxcPGhRlg3pIr+ePk+P+ENSsH5QwzhwhaiKkp0Rn5gbRPOwP75mrWNpI7uerLrww25uN/dmwE6lI/fbt+OqLL45GqdW6fsX622yfwSF7MIa/pzDir9X8Zl8U4Yl0u+wPGo67WmGs2uusfX4nY/urwgLCPqlsiRZnXYutaTwg88yyZUXjof6YoGaMWcl6z/95EIH5vQ7taufxIEIscpLP8qIxqZ///9w8ZkyWnjm2LlkbtB2LUKunjRrRf5trlfrjSwyIATEgBsSAGBADYkAMiAExIAbEQHMz0DBBzZwl5ZY4VUgHhuMshKw/BTVSP8UcvqG4RB9Sgtrwc87JvkPAsRf7HeE8Z18yxEH2+EqN/bqhQ6PiD5FAfvonxIi8lHihnVLv6SPjC/tDlImf6o39y0LHF2maLEokJriRetDfD4q96EKHfWpuETcQOWLOPJz06667riBqhv3llo0fH3UwMqcxpxw2yXNI40wnqgehlZRuiEvMnR+VVUpQ4/twzNgaZ3oqLSNzAgf+nGAHxItQfGMMpPhCZAlthZ18+xsDeYIaDtRvrFtXcK8RaTZ/1Kii+ukfn1u9fomY7Ud12VhgCGcrvJiAxf3BXlapqCbEFfZ28+svJaghtHYvXFggAsEIUZOhnegb0SD/uGFDQRu0hxiFmGL951oiWWNrkd+/co+/snZtdO9Gay+vRIy8a/LkkikribaICUGIlexz6I+F+zkWVQjDpEDzx8V1eYIa88weSnYN7DLPMRGAcWJb7jE/TSv3AsJazA6kUPX7Tjv9KagRqQbH/j2HfYjmifWH/bZsrFYirpC+Mzyf+YjdmzDKb0h4PuvxjyPRoLWuX9bPZi5JZRoTpkkb66/V3MsIl6Ft4W7z9OlFLMEWezGyHvIbEFvPEJ2IYOWcv163zhEJWu11zAHXbp01qyhajD7yW+SPh3NZP/z/F9jYSFfKHoDhvOYJaoi5j8ycWbDWcj+RkjX2/yLWTB7ICdv49IoV0ah3fvOIsvfXcu6tT3R2Jtd+xh3+dtfbRvXuf2gvvW/uP5w0f5o/MSAGxIAYEANiQAyIATEgBsRAezPQ9oJaTBzBQYVzClHBv0FSgpo5tKopebKcyCO/HTtmXygEEqvXF7PsnGpKnFPsu2L1WokY9vnVq7O+4BQmdZZ9ZyVPmfMd7ZIyL3Rq4gzbeP31fY7K3kWLihyFONli+4exR1ksdR9OPyJT6Hc4XhymOCNjDnuEMBP//OtSDmn6zt5fr76f2tGuwcHvtx1jBtFo3+LFjj3QYtFdOCfZXy6VrhMHcehUp05ETb9t6xMl4id7CBFpRLQgYmvMocq5KUENJz999uu14x9s3BhNQUaUgp1jJTaLRY1iU0RPbGjn+iUiW8xecI+d/XOxQypCDcd3jCmux+EdipXwTN+IMArtS4TfFeed18c+vP5VZL87v2+VHjNX4R6Edo+VUzJvREGaQOm3j8Ma8TmsB5vCvn+uHXOfXOmN2a5dOXFiQRvYKiWosT7F0rgSWRKybfUTlRNLvRkT67kGxsJ7qL8ENcTd1L2Q6s/4IUOK7El/WNNXTZyY7ZmHMMm9HBNwsD82fXjmzCLRNxW5XOv6ZXPezCWpbWNpi3nIILwnEDH5bTPmrIT3GHtmF1JKEglt51OyZtw3bVrRmmHXUFZ6HetNLCqbe4Y0wH7ddvz8qlVFkY3YI1wzOT8lqPGbRLSzLx5b/TzwENvvEZYREe08Sn6DiWz27cQxzLMO8b1/vh0fWro0Oi/YOBTU6mmjRvTfxqyyvf/g0vxr/sWAGBADYkAMiAExIAbEgBgQA63BQNsLajjbYo45UufhiPdB729BDccRadVCAYc2cbLi7OIcc1SRkglnrd+nao9x+IZPoNMW4hR1El1HtIa1bQ4you2sTRyXpKHyz+GYNJVEUOGow6kcfo+AEnvKPRYRx7Xs7ZZyytEX2iJSJGwHIYQn4a2/VqYc0kT/xCKW7DorU4IaUUzs5xX2g6g3hKC8uYO1mKCBmIiTmIgIEzKtH5WUKUGNaLNUvQjKCAbheHD+hm2TPi0WbZba98q/nhSSIYu0SSSIP+/cEylBDVExFFr8Nr6wenU0BR8RVfDjnxs6xOGV/Q/9c/rjmDlHfCb9XGjjct4jIiNu+TaiX9TL+hXWkUrXZmMhehInuH8d84fYa+fkCWo4z/nezrUyTF1r9dMWQrCd55esP7FUfUTshPPVX4Ia6ehCW1qfcOjH7k/sY+ekSmyCYJkSlbkOcYF1wmxDiXiBkBfWW+v6FdbXbO+Zbx7s8G3FcRgdbePK7odIGmF+94lQt/PCMlwHaIPfyP4W1Ig4I/rcHw/t8Psfu5/oJyyRLtS/hmMiOEOBLCWokVrVj37zx0+7sYduEOVZS/1zM8E8ktaZKDo/WtW/xsaQetAhFNTqaaNG9D8cu963xh9QmkfNoxgQA2JADIgBMSAGxIAYEANioD0ZaHtBLSaO4JgaO3hwUbRPfwpqOJNxCoZRcHYj4jREQDOHWSkHm11XbvlP990XdeTTJ5zKYXQc/cDBG0ZwxCLQbB819iXBiW9jsJL0afDvbH4AAB0rSURBVKFzmfHGRLFYm7Ex4hhFQLM2rLz16quLHIwphzTiip+aKtYOn6WYiUXJ0Q/Sa8b2nfHrT0UE2jgosQWpELfNmpVFQaSEML9eO44JajBFOj47JyxTQsjws88uuoZUi6EgQP1bImnVwnZ+GhFvGS8RGqGYExPUmPc8xzjt4VSPRYEQJYZ44/eJyC9/LDAc8uqfX+sxdSNwExHKHPtzXuqYfbqI1vH7gLgZS/cYS5foX/flNWuKREcidBAW7Dwc7bEINQRRRCE7zy8R3tmLLBwLIgKOcv9cO04JWIgI4T3aH4IarPoPC1g/rKRN1odwDKRLtXMqLVlnmSseYvAjIq0Noi4R0sN6a12/wvqa7T2/XTz8YHaykvsbbsLxwCwpDJljO9dKuISf8BreN0pQ40GSsG9+tHisb4wpFoUaE81TghoPvuTtybh99uyifiFCEh3n94n9LommNJtayXqW95ADYyBCOBw770NBrZ42akT/fXvpuD3/2NK8a97FgBgQA2JADIgBMSAGxIAYEAOtw0DDBDUc1HNGjsz2yGKfrFIv9gkKn4Q28HDSxNLL8fQ0+9/YeeWURDDFomNijqn+EtSIeNm9YEHSkUe/iWgghZo5pxgbIlc5YyrnHIQ80lpa/VaSwhERg/RkoaOLCI3QYRlz3mdOt1tvzZ5Oj6VwRBTBmeb3k9RbRHtYP6zks7y0XFYHEW/s72LXWRmLQEo5pElvFz7db/X7ZUpQszbDEpEk3IvKr8+OU2nMwvrsPfXiEOa6MGrH6rQyJqjBPbawc8ISwS4mchKF55/LXCLWWL+sxCmcuof961PtIArBl51LOzFBLZUaz66jRLyIiTpE1flRicz/8gkTCsZCpEbIq193fx5jC/YdxNGMeIRgZvZMldzHCIbWD/ZIi6W44154dM6c5Itxss747SAS+4xgh5igRj9Tay829feks/qJzPv+/ff39dv6T0nqUh5qsHOtxCahuNkfglqpe4E2ZowYUdSf8F7wxxAeI9w+19np7pw0KUtBWko85Xv26QrrqXX9CuuLvScKC176+wUHsTS8sT7EPoM/IrfCSEp+q1J7rlIP4tgZQfpGmIJBf43x22yEoMZ4eOjD+LaS31Ais/PuV9L92vlWEnUW2jclqBEBnPd7xx6ioZ3pF79/vp1iD98wH+ydVmrdjO1hGwpq9bZRvfvv20rHrfPHk+ZScykGxIAYEANiQAyIATEgBsSAGGhfBhomqMUcMdWC15+CWkxowDmFkBA+XZ0S1BALSc1HxIW9cIbi6EdQYi8vHJOkP/z0ihVFDuGYHRBgiFAwRxnpk1LpmWLXl/oMRxr7hVn9VtJnoiJIrWafWdk5fnzR/jTstTLhwgsLzsUhRkRAbO8aHPQ4lcP+MbYLTjutoB7axW5hREp4Le9TaZvYoyncVyzmkKbP5URT0ValghrjwPkZCgHhOEj9iagXOjHN/nklnJE6MZY+lHZinMfSd/l9QoSKCdehiEAEUiwFWzlCF+3BIuMOx8e9xF5j1iccqzFBDYE6tneXXdfXRoR37lM/rR6swIz1BaEltcehX3+9jmEfgYzUnKyh1i+/ZB5t70P68cyyZQURdv65lR7D4lPz5xfMQUxQC+3o24P5JZ1i2Dbzxprqn2vHKcG/XoJaqYggfgv8iGEbS3gvWP+tRNzAXkR1VnpfY9NwvyrqrXX9sr7lldOGDSuaLxtzLSVznpcGMK9PfJcSWvkN5reCFMqxF0JeTFBj3Wdvy5jw0whBjbVzfiR9ZbU2JnKPvS99O6YEtVIRq0Sfh8zG/h/H/pJhdDZ2JYWs34/YMSJ8+NAA1/oRavW2Ub37Hxu3PmvfP7o095p7MSAGxIAYEANiQAyIATEgBsRA8zPQ1oIaTrTYPiE4s2JRKSlBrdwoqkpuGFLx+c6s64cNS4olldTrnxtL14iAgIMxjCzj832LFxc5yLDh2muvLXK+IsgR5YBzzHcOxhx+9CllWxy7eWmpbDxEzsXSphFV50fvcH7KIe078azeWFmNoIYj8sCSJUX2C+tnrAh7iEm+3co5hpcFo0ZF00vGBDUcmV9asybZJwQ1okrDtkMRIZXSj+gP0rOFYwzfp+7DsH+cV62gxrVrIpwiWvhRQKHzGV5TUVThOCp9j31LRRb6dSIuhvclc8M9RkSbnbv35psL1o5w/ip5T90Pz5zZVzd2TAlqRNZZH/wyJaiRGpZ0n/65dtxoQQ3WSHlp7YdlufeCXceYmQdE5VL2xsax+z0lUta6flkf88qBKqjxkEYYRVnKvqW+53cjFgXdCEEtxVWpPqe+D1O0MsfhmmbXpvY8NC74vff/D8J1MUEtFWVGykirK1Xy8I7/4BBtcD/4v8X1tlG9+58auz5v/j+gNIeaQzEgBsSAGBADYkAMiAExIAbEQHsy0NaCGhFD1w0dWuTw5Gn3PYsWFTmDUqJPfwtqOJCISDHHFw6mjYmn6Gu5cf/27rujT+0TDYeAZu1TIo74qfH8dnFIhfuXkX4xtmfVxIsuci/u3FlkWyI5Lho0qKBN2mX/sVKRXfSF6/0Umdb38UOGOKLoCvq7YkXR+HAcsneWf17quJSghlCAvawPVuK4/Y+tW8tqg/RwiCREN4ZOTasvVsIuAgjCh9//egpqiAdLxo4tGm/Muev3yY65nujHcDxhhE5KUAvTNlq9fplqI+zjwaVLC9gg+jLkx6+33OOfPPRQlsKNfYtIq0qfmSv2xEtFFcbqJuojxgNpKu189jKj7tCe1bxn7UFAs7pTghp2/La315qdT4ntYxFqA0lQQ9BK7efGGFJO/VBctnEjnqeEH+aGvdeYM35niK6MzRn8x0TKmKBWyfplfcwrB6KgxhwsGTeuX7j27wVEonAfQmzTCEEtFd3r96+SY5gJ9zmNCWrc13dPnlz0O+EzUa6gFvs9pH7SRoe/Q379HPNARzkRarEI6Ers4p8b2qje/Q/HrPft+ceW5l3zLgbEgBgQA2JADIgBMSAGxIAYaB0G2lpQ++499zj2afKdLRwjhuCECkFvlKDGHmb+fmI4/J5ftaqoP2H/Kn1PVBcRXOH4Y+9TQhht/uvmzY5UXuF1ONXCz9gvBgd72NdUKi9EsnBPmPBa3sf2cqNt0rSxL5V/TcohfbCMCDLqiTngbJykdvvnjRuzvW9CURKnN+JEKSej31fOfWHLliydI9FiCDHWVqpEyAyj8uopqNHHe6dOLYpGRGQlnZY/ntgxaQ1J1xaOB6bYG8+uoZ1YhBrCRan9BVP7bCH8WhtwGe4FV+6+etbHVMkcxqLLEJUqSYH3mVtuKRKvsRsp7azt2B5q3Ivsx2TnVFsyB7EINQlqH/ynADGcdSDkGdGOVLixqDwEtVAoTdm01vWrnLknbSiRsv39emzuXEf0YTl9CM/hd2bw6acX2TW0czXv2V+RNcJvsxGCGvdTbA81/l/y997+kX6/Kj2ut6BGhG8YZcYc8JBE7Lfe73/4AAPXsVb5EWr1tlG9+++PV8cfrJOyhWwhBsSAGBADYkAMiAExIAbEgBgQA83KQNsKajztHjrPzRE3Y8SIaJrBRglqRCXwFLX1h73FcMj3N2Q8Hb8osreRteuXsRSY1p+UIOJfzzECU0q0CqPy7FrEEgQCaytVPr1gQUFkEdfjmIvtj5NySOPUTtXvf54S1C4588w+IRax0t+Ly8aDSFROGkS/Pf8YByUCUNfChZkIFYp2tBOL2KqnoEb/Yo5R+kKaxVJOVQTImCB7VRAdlhLUmOdSQiWRgUQF2TxYiaDMXDGG3+7c6RCO7Ttsuz+S5tSfj3KPqfuaiy/uq9vaIFqJ1GiMrZy6EMVC4YW6EP7s+pgDnXPYw7HUXFgdqZJ+SlDr6JvHWITaJzo7i/aUgiVEgtQ8dy9cWDSvCGpEEYdzUev6FdbXLO+fmDev3yIv7f6zkodoQgEL2zMHdg4la82GqVOT84gtK72O9M7U67eTPURTxu9eOXMXWw9or78i1FIPC7B+x6LRrc+sRbH/g9E3X1Dj/HraqBH9tzGr1B+LYkAMiAExIAbEgBgQA2JADIgBMSAGmp+BthTUEJIQYMJUQzi0cGQ9u2xZkRMT2BslqCGW+CnbiN5BtKrHDRcTWnzHHsdEGn16xYpk+ziJSUkZOgXDehB6YpF/Nq6n5s8vGLddT5RZ3vgRRMYNGVLgkORanpr/2u23F/U75pDG3ql5t/5ZGRPUYinXiPKAJxuHlUvHjSuKmmMM9BUuES/ZMw9x54ebNhX13/pB5F1MEMUJTHSFnUcZm+dwjzL/fI4rSXP3g40bHdFeNkYricpKpQqlDe7Fe6ZMKRITYOneKVMKHNdwFotQo61S6TSf6+yMzgWRXYyTvmBrfwz9GSVC32N7CtJ3bBQTTsL5YP2JRT7B3q4bb+yb71S0JzYi+jWsl/f0j3Vn2fjxWSTbF1avziJD+dw/n/cS1NKCGvZBxA/XQvZSCwUbsyvXcA+E18TuY66pdf2ydpupRJAm/a+tK1Yef9xx7q7Jk7OUmTwQUepFis3YPYTtw7TKfxdJicx5pYSoSq9j3Y9FePE7kBLAEarYu5RzSFXMQzgp8areghopmT8emRvG9OW1awvWD5+5Hz/4YDRNMzYOBbV62qgR/ffHrePm/8NJc6g5FANiQAyIATEgBsSAGBADYkAMtDcDbSOo4bTEmUwKuunDhxdFM5mDDvEK513sxmiEoIbAgOBi/SnHgRfra7mfke7Ij4azdv0Sh3+ptHQ44FN7BlldYwcPdjj7U30jpRcp8Ox8K4nuWD9pUnSvKeZq8dixRYIM10657LLo/mu1OqRTghp7zvhjw1GHMGbjsBJHo5+iEDYZH3Nt51AilOCcTzlVuQ6Hqn8Nx0R7YUu/L/UW1EiXltrnBmGQPcT8/nDMuHAGn3zCCUVjIGKElKz+NYw3Jahhq1uuusq9vGtXwTVcj+MWMSm0UxiBBhf+XoBEGIapM/3+VHqMaIawEvaD93BP+ybu+XUzbhzmo88/P3ptGF3D+YiRIU+Ml335YjwxPzGhYfg55xTMHXVLUMsX1BBcQtvnRdrCZyx6MtzryZiodf2yepqp/GpCdCIlMCk2yx0L/D40Y0b094I14hfvR6tSXyqNcKlIz0qv4zcxFs3Mff3NO++Mjg0GPnr88QXrAQ+FrJgwwb3x/gMCZpN6C2rYlHUlZJ51jQddYimbeUCG/fBi1/BZKKjV00aN6L/Nhcr2/oNL86/5FwNiQAyIATEgBsSAGBADYkAMtAYDLSWo4cDBccleNf6LSBycyTFHtv8ZEVQpBxbAN0JQw4E/+oIL+vpaKjqs1huRVHikLfPtEB4jTMWECr9t9gUi5WF4rf8eZ1/MmW/18B1RPIgj/nUc8xkp80inhrj3L5s2OaIN2C8sPJf3OKO/eNttSWdkyEN/RKiFghrj+sratVHBctLQoQURBQgmZwTpxRgH4tvuBQuKnKQ4AT+/enU0VSLzFUb01VtQY6xEEaTEWdKWbps1K3NSIyAgwM6/8sqi1Hg210SdIC4bG5SMOSWo2XUI4jjfX9m1K7MvUYcpvtmnEP6tbtr0HbxEa4V98PtT6TGObu4B+hp70fbFgwa5JWPHZnvSsd8WIiFpKUNe/es5P9wnECe6H21n5+OEp17/oQFsMHvkyIKx2/mkkvRFPuZAgtoH8xdL+UhqQp8jsyXrl/Fm7CAa+2lG7VxKfsNYP+xcK9tNUON3YfU110TvmdSenGarWMm9cc4ppxTVRzTxJ5cv77M3vzGx81jLSHHLeke61q/fcUffNbRXzXUISLF7HKH9sytX9q1D3H+0e9GgQUX9595mj8VwzPUW1GiPtL2xPSLheMQ557hPLV+erTmsgfwfa9qwYdHfec6PCWq0UU8bNaL/4bzofWv8EaV51DyKATEgBsSAGBADYkAMiAExIAbaj4GWE9R8h2QlxwhxvYsWFaSYC2+IRghqpAUj1Zz1nWgjHHRhX/rrPY74uVdc0deetWslzq3N06fn2oW+UM+ckSOT9SBYYd9S/Sb1YcrBbH0qVeKYpM8pMaRWh3S5EWpml87x44vsQqoy9k0ye+BoZL+xmCOezy4844wsAgyBZcGoUVk0UUx4xKnqO4Wt/kYIatgbQZS5LjVHed+TPsz2NbP+U5YS1PLqDL/Deb735pv77I8AiRhn5zEGf378ftRy/MIDD0SjkazdSku4wBkc9gkRgujG1Fwg1BI9wisWIUg/qDtMOSpB7QMxDRvFBLVv33VXVBznfEQHREqEYUT1WEpYY4B1jLUqnNta16+wvoH+nujJoZGHNXhQJvXQRN6YiKadl/jN47eQ77ke8ZMIOJuPWMnaTMSb31411/EgzdWRPRZpkzbghu+JIo0Jb5xHhDAPEvh94bgRghrrzQM33JBcb8x2qd83+97GG0aoMY562qgR/Q/nRe/b7w8uzbnmXAyIATEgBsSAGBADYkAMiAEx0BoMSFDr6HDsVUN0EU6VPLAbIagdWLKkwGFGVIMfTZLXv2q/2zprVlTIwbmF0OinJ8xrY8ecOcmnzom+Ym+ZvOvtO9IVpiLPfMdb7BhnI2kQX33fKWp1+mWtDulKBDXaxaGJMBr2F+eonwoRhyFP7ofnlfse8YSxh9FK9KERghrtEMmIYJASckqNhbSg3Gf+fNlxSlCDURzfMWdtrD36xv5D5jinfoSuwV660dT+VdaXWspvrV9f0Fasj+V8Rko4ohRTfWHdQDgo1y5+mwhuMWFWglppQQ2uiG707VnqGGENjv3zmDdECmzuz3Gt65dfVzMc8yBGTEQiTWJeCuG8sRG56qd3NbsTpW573TGPRG7ad6mS6Dm/rWqvI1UkInaqnbzPSVdJ5K/fDztuhKBGW6Q4nj9qVNnrDXzzexemsuXzmKBGG/WyUaP6b3OisjX+gNI8ah7FgBgQA2JADIgBMSAGxIAYEAPtyUBbC2o4MReNGeN+FOw3lboZ6i2oIeixP4vvOEMgCR2qqf5V+/mX1qxxPO3vt2vHRAaUu0cNqZxSKf8QyBCMyu3jz7ZudTePGRN1pFrfwpK2d86dW5QeMWyzVod0pYIa8xpLZUmEGXtd+UIuNmJvmZgDORyv/x6W75kyJRqhwPgbJajRFoIeDtFYCku/z/4x4104enS2z2E4X/Y+JaghLJEGjQiNWNSe3w6RgaR2DAXX52+9tWBPIhzUsSg560utJZFfRCiV6q/fdzvG4Uxa2O/cdVfJ++nFnTuzNJOV8ESaO+6R2LrDZ0r5+IGoFotQgw2ilIi0tDnLK0nfxxrMXpDhedcNHVq0D2St61et7DbyegT62D6U3ANEYMYYLad/zA/7A4b2pl5Solq9n1u1Kku9GZ7nv0e0Dtus9jrEr1Bg8tsKj+kvEd0vbNlS1AfrU6MENdpDxCcFbakHKlj3EN8QAa8N7hPGlBLUaKMeNjJbNaL/1pbK9vyjS/OueRcDYkAMiAExIAbEgBgQA2JADDQ/A20hqOGgwZGOg5/9PHC8Pzl/vvv3Rx5JOqFicNdbUMP57ac7xAnOk/SxvvTnZ0RJxfZkwXlHCqxYxFOs/V9s3+5GnntukZOSenCypVIwxuriM5yaRPMgtBAxEzoT7T3zihCZ51T026jVIV2poEbb2HjY2WcXjQHxgn2U/P4hsH15zRo3c8SIApHHxuuXCKE4dLGTOYH9uuy4kYKatcn9hXOaqAvuQb/fdkyUCHu+EQXpC4tWh18yvtgeaghqP9i4MeP0qfnzo9GAOHCJaCGiK2yHekkR6vfxptGjC/YO8/vRX8fsTQZL04cPL4pOMvv4JaIpaSmfWbasILquVH8YL6nxsHMsKsfaINUsaUfzBHRsJUGttKDGnPxmxw539+TJyYcMsPe9U6f2PWhwaOnSoj0FWffCPbpqXb9K8TKQvid9JtGixqiVrPnlCMqpsXBPrJ80qeCet7r5Dfv5tm3Zmsx5z3V2JiPH+I1mX8SwnWqvox4ivdiHD7HWX5Osf5R8jiDI/pqxNI9+fxopqNEu6xosx/pPv/k/GPuf8v8KxlqpoFYPG/n2akT//fZ03Px/SGkONYdiQAyIATEgBsSAGBADYkAMiIH2YqDfBTUBVD1ACGqkTUSE4PXwzJkVi36tan+chohGPTfd5EhR+cjMmdnx36xfXxRt1Eo2wOFI5B8OyG2zZrkHZ8zISvb/wh5EcAz08eJcZh/AT3R2ukfnzMn2HELgQ9yqJGqxlKBmdiDlGhFrOJu3z57tDi5ZkrXP9XaOX/I56Q03Xn99dt9RfmPduui5/nX9ecwebrDMvMI2fSAChznfv3hx9h3n1NomKfIQ1xAeWV+2zZ6dsYU4EUbt1dqWrn/vt4CoFwRjom6wOXvzwRecykbV/1420nbsccl6a/cNc0kUGpHUef2o9jrqZF0iFS0C6mNz52brJiUCHw+PsK7mtX2sv6N/pM9kTWMdJq02KRv7s9/1tFEj+n+s50jtN8f6o3nSPIkBMSAGxIAYEANiQAyIATEgBgYWAxLUegbWhOgG0XyIgTgDOE/zItRkt7jdZBfZRQyIATEgBsSAGBADYkAMiAExIAbEgBgQA2JADIgBMVA7AxLUJKgN6KfcdZPXfpO3ig0lqImFVmFZ4xDLYkAMiAExIAbEgBgQA2JADIgBMSAGxIAYEANioPkYkKAmQU2CmhhoCgYkqDXfD4z+U6A5EwNiQAyIATEgBsSAGBADYkAMiAExIAbEgBgQA2KgVRiQoCYxpSnElFa54TSO6n88JKhVbztxJ9uJATEgBsSAGBADYkAMiAExIAbEgBgQA2JADIgBMSAGamNAgpoENQlqYqApGJCgVttirx9L2U8MiAExIAbEgBgQA2JADIgBMSAGxIAYEANiQAyIATFQPQMS1CSmNIWYopu8+pu8VWwnQU0MtArLGodYFgNiQAyIATEgBsSAGBADYkAMiAExIAbEgBgQA83HgAQ1CWoS1MRAUzAgQa35fmD0nwLNmRgQA2JADIgBMSAGxIAYEANiQAyIATEgBsSAGBADrcKABDWJKU0hprTKDadx1Pbj8fKuXe5Xjz5a8PrNjh3ura4ucay1TAyIATEgBsSAGBADYkAMiAExIAbEgBgQA2JADIgBMSAG6saABDXBVTe4JB7VJh7JfrKfGBADYkAMiAExIAbEgBgQA2JADIgBMSAGxIAYEANiQAyIgYHBgAQ1CWoS1MSAGBADYkAMiAExIAbEgBgQA2JADIgBMSAGxIAYEANiQAyIATEgBnIYkKCWYxypvgND9dU8aB7EgBgQA2JADIgBMSAGxIAYEANiQAyIATEgBsSAGBADYkAMiIFjyYAENQlqUpzFgBgQA2JADIgBMSAGxIAYEANiQAyIATEgBsSAGBADYkAMiAExIAZyGJCglmOcY6l0qm0p7WJADIgBMSAGxIAYEANiQAyIATEgBsSAGBADYkAMiAExIAbEgBgYGAxIUJOgJsVZDIgBMSAGxIAYEANiQAyIATEgBsSAGBADYkAMiAExIAbEgBgQA2IghwEJajnGkeo7MFRfzYPmQQyIATEgBsSAGBADYkAMiAExIAbEgBgQA2JADIgBMSAGxIAYOJYMdPz60LPu9b0H3Kt79rjX9+9xb+zpdb/fs9e9tm+fe33v3uz4jb297o29e/WSDcSAGBADYkAMiAExIAbEgBgQA2JADIgBMSAGxIAYEANiQAyIATEgBtqOgY7/+4c33V9e/4P7y+uvu7+88XpW/r/s+A33l9ffcNkx7/WSDcSAGBADYkAMiAExIAbEgBgQA2JADIgBMSAGxIAYEANiQAyIATEgBtqQgQ6nf7KALCALyAKygCwgC8gCsoAsIAvIArKALCALyAKygCwgC8gCsoAsIAvIArKALJC0gAS1pGn0hSwgC8gCsoAsIAvIArKALCALyAKygCwgC8gCsoAsIAvIArKALCALyAKygCzg3P8HRIpMMpDsTQIAAAAASUVORK5CYII=)
- National Level Workshop (FDP) on Machine Learning A Practical Approach from January 29, 2018-Feb 3, 2018, Organised by Department of Computer Science Shaheed sukhdev college of business studies University of Delhi.
- Short Term Training Program(STTP)on Health, Human Values, Ethics and Empowerment April 13 – 18, 2018, Organized by Department of Information Technology Delhi Technological University Bawana Road, Delhi-110042.
- TEQIP-III Sponsored One Week Faculty Development Program on “Feature Engineering for Pattern Recognition” Organized by Department of Information Technology, DTU from May 01 2018 to May 05, 2018.
- International Research workshop on Cloud Computing (RWCC-2016), at School of Computer Science and System Sciences, Jawaharlal Nehru University, New Delhi, 22-23 December, 2016.
- One-week workshop on “Next Generation Computing: Research Issues and Challenges (NSG’16),” at Department of Computer Science and Engineering, National Institute of Technology (NIT), Kurukshetra, 27 June to 01 July, 2016.
- Workshop on “Institutional Digital Repository for National Digital Library (NDL)”, at National Institute of Technology (NIT), Raipur, 18-19 November, 2016.
- Short Term Training Program on Cloud Computing-15, at Maulana Azad National Institute of Technology (MANIT), Bhopal, 28-29 March, 2015.
- Complimentary Seminar on “MATLAB & Simulink for Engineering Education”, at Raipur, 24 Feb. 2015.
- Workshop on “Intellectual Property Rights” at National Institute of Technology (NIT), Raipur, 14-15 Feb., 2014.
- Workshop on “Academic Ethics and Intellectual Property Rights” 04-05 April, 2014.
- Architecting Software for the Cloud, an online course on Building Cloud Based Applications, organized by Department of Computer science and Engineering, IIT Ropar and continuing education program, IIT Kanpur, 2014.
Last Updated : 2021-07-18 04:47:47