Prof. (Dr.) Manish Shrivastava | Department of Computer Science and Engineering

Bio

An experienced and seasoned academician having more 32 years of working experience in the field of education, IT administration and Software Engineering in both the Government and Private sectors.. He has worked for 10 years in abroad. He has published more than 60 research papers in internal journals and conferences.

Additional Administrative Titles

HoD, Department of CSE, Vivekananda Global University, Jaipur

Academic Degrees

Ph. D. in Computer Science from Babasaheb Bhimrao Ambedkar Central University, Lucknow

Academic Appointments

Professor & HOD in Department of Computer Science and Engineering, Vivekananda Global University, Jaipur (NAAC A+ University) from December 2021 to Continue.
Associate Professor in Department of Computing, Middle East College, Muscat, Oman, Affiliated to Coventry University, UK from 26th March, 2012 to 28th February, 2015. Total period 3 years.
HOD, Department of CSE & IT, Lakshmi Narain College of Technology, Indore, India from 3rd October, 2011 to 15th March, 2012, Total Period 06 months.
Professor in Computer Science and Engineering (Faculty of Engineering & Technology), Jayoti Vidyapeeth Women’s University, Jaipur, India from 15th Feb. 2010 to 1st July, 2011, Total Period 1 year 6 months.
Senior Lecturer, AMITY Institute of Information Technology, AMITY University, Lucknow Campus, Lucknow, India from 7thJuly 2008 to 31stJanuary 2010, Total Period 01 year and 6 months.
Senior Lecturer in Department of Computer Engineering & I.T. (Faculty of Engineering), Kigali Institute of Science and Technology, A Government Institute, (Converted to College of Science and Technology, University of Rwanda), Kigali Rwanda, Africa from October 2002 to 31st December 2007, Total Period 05 years and 03 months.
Trainee Software Engineer in Tulsient India Pvt. Ltd. Mumbai, India from 5th May 2001 to 18th October 2002, Total Period 01 year and 05 months.
Lecturer in Department of Computer Applications, Makhanlal Chaturvedi National University of Journalism (Government University), Bhopal, India from 1st January 2001 to 30th April 2001, Total Period 04 months. (Coming back from Rwanda to rejoin and continue the same job).
Senior Lecturer in Department of Computer Engineering & I.T. (Faculty of Technology), Kigali Institute of Science, Technology and Management, (Converted to College of Science and Technology, University of Rwanda), Kigali Rwanda, Africa from 7th March 2000 to 31st December 2000, Total Period 10 months.
Lecturer in Department of Computer Applications, Makhanlal Chaturvedi National University of Journalism (Government University), Bhopal, India from September 1995 to February 2000, Total Period 04 years and 06 months.
Lecturer (Adhoc) in Department of Electonics, Dr. H. S. Gour University Sagar (Now a Central University), India from July 1990 to June 1991, Total Period 01 year.

Professional Experience

Principal System Analyst in Professional Examination Board (Changed to Employee Selection Board), Under Government of M. P. Bhopal, (M.P.) from 1st April, 2015 to March 31, 2019, Total period 4 years.
Software Engineer in Tulsient India Pvt. Ltd., Mumbai, India, from 5th May 2001 to 18th October 2002, Total Period 01 year and 05 months.

Courses Taught

Computer networks, Software Engineering, Web Technologies, Big Data Analysis, Machine Learning, Data Science, Object oriented Analysis and Design, System Software, RDBMS, Programming in Java, C, C++, Visual Basic, Visual C++, Python, ASP. PHP etc.

Research Interests

Data Science and Machine Learning, Software Engineering

Journal Articles

1.Patole, U., Shrivastava, M.,Ugale, A., Deshmukh, A. (2026), “An Integrated Machine Learning Model for Automated DripIrrigation and Crop Disease Management Using Robotics”, In: Fong, S., Dey, N., Joshi, A. (eds) ICT Analysis and Applications, ICT4SD 2025, Lecture Notes in Networks and Systems, Vol. 1652, pp. 162-170, Springer, Cham. https://doi.org/10.1007/978-3-032-06691-6_17, Indexed by SCOPUS
2. S.A. Galadima, M. Shrivastava and K. Srivastava (2026), “A Systematic Literature Review of QR Code Phishing Detection Techniques.”, Journal of Applied Bioanalysis (E-ISSN:2405-710X), Vol. 11, No. 10s, p. 273-287 http://doi.org/10.53555/jab.v11si10.1400
3. Shinde, T. and Shrivastava, M. (2025), “Development of An Ant Colony Optimisation-Based Edge Detection Framework”, African Journal of Applied Research, Vol. 11, No. 5 (2025), pp.573-595 http://www.ajaronline.com, DOI: https://doi.org/10.26437/ajar.v11, Scopus Indexed Journal {Q4}, impact factor: 0.43
4.Tambe, P.M., Shrivastava, M. (2025),“AH-NBDT: Alpha Hunting Optimizer Enabled Neural-Backed Decision Tree Algorithm for Cardiovascular Disease Detection with Big Data in IoT”, Biomedical Materials & Devices, pp. 1-26, Scopus Indexed Journal, {Q2}, impact factor: 0.57,Link: https://rdcu.be/exqoz, DOI: https://doi.org/10.1007/s44174-025-00433-y
5. Uttam R. Patole, Manish Shrivastava (2025), “Soil moisture prediction and crop recommendation in IoTbased smart agricultural monitoring using intelligent hunting based adaptive light gradient boosting ensemble deep neural network”, Modeling Earth Systems and Environment, Vol. 11, Issue 372, pp. 1-29, Springer, https://doi.org/10.1007/s40808-025-02541-6, (ISSN:2363-6203), Scopus Indexed Journal {Q2}, impact factor: 3.0
S. A. Galadima, M. Shrivastava and G. Sonowal (2025), “Detect QR Phishing Using Novel Algorithms”, The 16th International IEEE Conference on Computing Communications and Networking Technologies (ICCCNT), July 6 - 11, 2025, IIT - Indore, Madhya Pradesh, India.
7. M. Tambe and Manish Shrivastava (2025), “Optimized Heart Disease Detection Using Hybrid Brave Hunting Algorithm with SVM Integrated Deep CNN”, Journal of Applied Bioanalysis (ISSN 2405-710X), Vol. 11, Issue3, pp. 751-761, DOI: 10.53555/jab.v11i3.291, Scopus Indexed Journal {Q4}, impact factor: 0.20
8. Narayan Bhausaheb Vikhe, Manish Shrivastava (2025), “White Headed Timber Optimization based Deep Learning model for Brain Tumor Prediction”, Biomedical Materials & Devices (ISSN: 2731-4820), https://doi.org/10.1007/s44174-025-00293-6, Springer-Nature, Scopus Indexed Journal {Q2}, impact factor: 0.57
9. Uttam Patole, Manish Shrivastava, Abhishek Deshmukh (2025), “A Conceptual Framework for Soil Classification and Crop Recommendation Using Machine Learning and Satellite-Sensor Data Integration”, 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG) | 979-8-3315-1898-1/24/IEEE | DOI: 10.1109/ICTBIG64922.2024.10911090
10.Pravin M. Tambe and Manish Shrivastava (2025), “Hybrid Brave-hunting Optimisation for Heart Disease Detection Model with SVM coupled Deep CNN”, International Journal of Intelligent Information and Database Systems (ISSN: 1751-5866), Vol. 17, No. 1, pp. 92-123, DOI: 10.1504/IJIIDS.2025.143486, Scopus Indexed Journal {Q4}, impact factor: 0.65
11.Tejashree Shinde, Dr. Manish Shrivastava. (2024). “A Study the Edge Detection Using ACOand Hybrid Implementations of Sobel and Canny”, Journal of Computational Analysis and Applications (ISSN: 1572-9206), Vol. 33, issue 08, pp. 2906–2912. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2296/1538, Scopus Indexed Journal {Q3}, impact factor: 0.275
12. Narayan B. Vikhe, Manish Shrivastava (2024), “Optimized Deep Learning Model for Predicting Brain Tumors”, International Journal of Intelligent Systems and Applications in Engineering, (ISSN: 2147-6799), Vol. 12, Issue 4, pp. 2149–2155, https://ijisae.org/index.php/IJISAE/article/view/6557, Scopus Indexed Journal {Q4}, impact factor: 1.03
13. D. K. Acharya, M. Shrivastava, P. Padhi, S. K. Nanda and N. Kumar Ray (2024), "A blockchain-based human-machine reconciliation mechanism for increasing customer confidence in the agricultural supply chain management," 2023 OITS International Conference on Information Technology (OCIT), Raipur, India, 2023, pp. 243-248, DOI: 10.1109/OCIT59427.2023.10430535. IEEE Xplore.
14. Barve Amit, Shrivastava Manish, Saxena Abhilash Kumar, Sivaperumal S. (2024), “Machine learning model on blockchain for secured mobile communication”, Measurement: Sensors (ISSN: 2665-9174)Vol. 33, pp. 1-7, DOI: https://doi.org/10.1016/j.measen.2024.101160, Scopus Indexed Journal {Q3}, impact factor: 2.46
15. Zahoor Ahmad Shah, Dr. Manish Shrivastava (2024), “Future of FOG Computing for sustainable ICT Enabled Higher education in UT of Jammu and Kashmir”, Journal of Xi'an University of Architecture & Technology, Volume XVI, Issue 1, pp. 519-530, 2024, ISSN: 1006-7930, https://doi.org/10.37896/JXAT16.1/33141
16. Inderjeet Singh Sethi, Shrivastava Manish, Dinesh Goyal (2023), “Implementation of cloud computing towards Secure Online Auction for sustainable future of business” In International Conference on Information Management & Machine Intelligence (ICIMMI 2023), November 23-25, 2023, Jaipur, India. ACM, Pages. https://doi.org/10.1145/3647444.3647951
17. Acharya Deepak Kumar, Shrivastava, Manish and Padhi Payodhar (2023), “A Decentralized Blockchain-based IoT System for Privacy-preserving Data Sharing”, IEEE International Conference on Blockchain and Distributed System (IEEE ICBDS 2023), 6th-8th October 2023 organized by IEEE Computer Society Pune Chapter, IEEE Pune Section, IEEE Madhya Pradesh Section in association with IIIT Naya Raipur18. Lawan Bulama, Shrivastava Manish (2023), “A Comparative Study on Devices and Techniques to Investigate Cyber Crime”, Samdarshi, ISSN: 2581-3986, Vol 16 Issue 4, pp. 1539-1544. UGC Care Indexed
19. Shinde Tejashree, Shrivastava Dr. Manish (2023), “An Ant Colony Optimization Algorithm Based on Image Edge Detection Scheme” International Journal of Research and Analytical Reviews (IJRAR), December 2023, Vol. 10, Issue 4, pp. 183-187, E-ISSN 2348-1269, P- ISSN 2349-5138.Impact Factor: 7.17
20. Tejashree Shinde, Dr. Manish Shrivastava (2023), “A Study the Digital Image Processing and Fundamental of Edge Detection”, Journal of Data Acquisition and Processing, Vol. 38 (1), pp. 5628-5636, ISSN: 1004-9037, DOI: 10.5281/zenodo.7766335, SCOPUS Indexed Journal {Q4}, impact factor:0.56
21. Acharya, D. K., Shrivastava, M., & Padhi, P. (2023), “AgriBlock: A Blockchain based Frameork for Agricultural Supply Chain Management”, International Journal on Recent and Innovation Trends in Computing and Communication, (2321-8169) Vol. 11(10s), 249–256. DOI:https://doi.org/10.17762/ijritcc.v11i10s.7625, Scopus Indexed Journal, impact factor:0.71
22. Senapati, S. K., Shrivastava, M., & Mahapatra, S. (2023), “En-PaFlower: An Ensemble Approach using PSO and Flower Pollination Algorithm for Cancer Diagnosis”, International Journal on Recent and Innovation Trends in Computing and Communication, (2321-8169), Vol. 11(9s), pp. 255–262, Scopus Indexed Journal, impact factor:0.71
DOI: https://doi.org/10.17762/ijritcc.v11i9s.7419
23. Shinde Tejashree, Shrivastava Dr. Manish (2023), “An Analysis the Image edge detection by using ant colony optimization”, Journal of Harbin Engineering University, Vol 43, No. 7, pp. 1008-1015, ISSN: 1006-7043, July 2023, URL: https://harbinengineeringjournal.com/index.php/journal/article/view/506, Scopus Indexed Journal {Q3}, impact factor: 0.442
24. Acharya Deepak Kumar, Shrivastava, Manish and Padhi Payodhar (2023), “Blockchain in Food Supply Chains: A Survey of The Literature and Synthesis of Platforms, Advantages, and Difficulties”, Journal of Data Acquisition and Processing,ISSN: 1004-9037 Vol. 38, Issue3, pp. 3407-3422, DOI: 10.5281/zenodo.98549818, Scopus Indexed Journal {Q4}, impact factor:0.56
25. Shrivastava Manish, Tambe Pravin M. (2023), “Improving Heart Disease Classification with Optimization and CNN Model”, International Journal of Creative Research Thoughts (IJCRT), Volume 11, Issue 7, pp. 379-383, A Peer Reviewed International Journal, ISSN: 2320-2882, http://www.ijcrt.org/papers/IJCRT2307162, impact factor: 7.97
26. Uttam Patole, Shrivastava, Manish (2023), “Design a Sensor Based Soil Testing Model with Machine Learning”, International Journal of Research and Analytical Reviews, Vol. 10, Issue 3, pp. 514-520, ISSN: 2348-1269, https://ijrar.org/papers/IJRAR23C1190.pdf, impact factor: 7.17
27. Shrivastava Manish, Pravin M. Tambe (2023), “Develop a Sensor Based Model Using Machine Learning for Heart Related Disease”, International Journal of Innovative Research in Computer and Communication Engineering, ISSN: 2320-9801, Volume 11, Special Issue 2, pp. 510-412, March 2023,https://ijircce.com/special-issues/pdf/2023/march/41_147_Develop.pdf, impact factor: 8.77
28. Lawan Baluma, Shrivastava Manish (2023), “Framework & Techniques to Improve Cyber Security in Nigeria”, JCST Journal of Data Acquisition and Processing, Volume 38, Issue 2, pp. 4656-4674, ISSN: 1004-9037, https://sjcjycl.cn/ DOI: 10.5281/zenodo.777530, Scopus Indexed Journal {Q4}, impact factor:0.56
29. Narayan Vikhe, Shrivastava Manish (2023), “Review Paper On Brain Tumors Prediction Using Deep Learning Model”, International Journal of Research and Analytical Reviews, Volume 10, Issue 2, May 2023, pp. 204-209, e-ISSN: 2348-1269, p-ISSN: 2349-5138, https://ijrar.org/papershttps://ijrar.org/papers, impact factor: 7.17
30. Narayan Vikhe, Shrivastava Manish (2023), “Review on Detecting Brain Tumor using MRI”, International Journal of Innovative Research in Computer and Communication Engineering, Volume 11, Special Issue 2, March 2023, pp. 479-484, e-ISSN: 2320-9801, p-ISSN: 2320-979, https://ijircce.com/special-issues/pdf/2023/march/35_140_Review.pdf, impact Factor: 8.379
31. Uttam Patole, Shrivastava Manish (2023), “Sensor Based Model for Soil Testing Using Machine Learning”, International Journal of Innovative Research in Computer and Communication Engineering | e-ISSN: 2320-9801, p-ISSN: 2320-9798, Volume 11, Special Issue 2, March 2023, pp. 485-487, International Conference on Recent Innovations in Engineering and Technology (ICRIET’23)impact Factor: 8.379, URL: https://ijircce.com/special-issues/pdf/2023/march/36_141_Sensor.pdf
32. Senapati Sudhir Kumar, Shrivastava Manish and Mahapatra Satyasundara (2023),” PCSVM: A Hybrid approach using Particle Swarm Optimization and Cuckoo Search for effective cancer diagnosis”, 2nd edition of IEEE Delhi section owned conference (DELCON 2023), organized by Chitkara University, Punjab, India, 24-26 February, 2023, Available at: https://ieeexplore.ieee.org/document/10127354
33. Sushil Kumar Sharma, Dushyant Singh, Shrivastava Manish (2022), “Comparative Study of Data hiding in RGB Images using DWT and Hybrid DWT-SVD Watermarking Techniques”, Neuro Quantology, November, 2022, Volume 20, Number 15, DOI: 12.14704/NQ.2022.20.15.NQ88545, Scopus Indexed Journal, impact factor: 1.5 https://www.neuroquantology.com/article.php?id=10315
34. Senapati Sudhir Kumar, Shrivastava Manish and Mahapatra Satyasundara (2022), “Mo-Elm: MRMR and MFO Based Hybrid Approach Using Extreme Learning Machine Classifier for Cancer Diagnosis”, Journal of East China University of Science and Technology (ISSN:1006-3080) Vol. 65 Issue 4, pp. 92-107, DOI: 10.5281/ZENODO.7234798, Scopus Indexed Journal {Q4}, impact factor: 0.23
35. Shrivastava Alka and Shrivastava Manish (2022), “An Exploration of Students’ Perceptions on the Blended learning mode in Management Education: A case of selected colleges in India”, International Journal of Education and Development using Information and Communication Technology (IJEDICT), Vol. 18, Issue 2, pp. 207-214, ISSN: 1814-0556, ABDC Indexed Journal {C}, impact factor: 0.0http://ijedict.dec.uwi.edu/include/getdoc.php?id=9613&article=2965&mode=pdf
36. Shaina, Shrivastava Manish and Chaudhary Nalin (2022), “Image Security using model of Stegnography and Asymmetric Cryptography techniques”, NeuroQuantology, Sept 2022, Vol. 20, Issue 11, pp. 1611-1615, ISSN: 1303-5150, DOI: 10.14704/nq.2022.20.11. NQ66154, Scopus Indexed Journal, impact factor: 1.5
https://www.neuroquantology.com/article.php?id=7295
37. Shinde Tejashree, Shrivastava Manish (2022), “The Edge detection scheme in image processing using Ant and Bee colony optimization”, International Journal of Mechanical Engineering, Vol. 7 No. 7, pp. 194-200, July, 2022, ISSN: 0974-5823, Scopus Indexed Journal, impact factor: 2.1 URL:https://kalaharijournals.com/resources/JULY_30.pdf
38. Bulama L., Shrivastava M. (2022), “Framework and Techniques to improve Cyber Security in Nigeria”, at International Conference on Analytical and Interdisciplinary Research, ICAIR2022, at Sangam University, Bhilwara, 6-7 October, 2022.
39. Galadima Sefiya Aramide, Shrivastava Manish (2022), “Level of Awareness Among University Students Concerning QR Code Scams”, at International Conference on Analytical and Interdisciplinary Research, ICAIR2022, at Sangam University, Bhilwara, 6-7 October, 2022
40. Bulama L., Shrivastava M. (2022), “The Role of Information & Communication Technology Towards Protection of Lives and Property in Northern Nigeria: A Focus on Maiduguri Borno State”, Vidyabharati International Interdisciplinary Research Journal, Vol. 14, Issue 1, March 2022, WOS Indexed Journal, https://www.viirj.org/vol14issue1.html
41. Senapati Sudhir and Shrivastava Manish (2022), “Cancer Microarray Data Analysis using PSO-CS-SVM hybrid Machine Learning model” at “International Conference on Ambient Intelligence in Health Care” (ICAIHC -2022), April, 15th to 16th 2022, organized by the Department of Computer Application, Institute of Technical and Education Research (ITER), Siksha ‘O’ Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India.
42. Shaina, Shrivastava Manish and Chaudhary Nalin (2022), “Hybrid Model of Image Security using Steganography and Symmetric Cryptography Techniques”, at International Conference on Intelligent Systems and Computation, May, 6th -7th ,2022 at Poornima Institute of Engineering and Technology, Jaipur.
43. Shrivastava, Manish (2021), “Systematic Review on Model Driven Software Requirement Engineering”, paper presented on International Conference on “Applications and Innovations in Intelligent Systems, Modelling and Optimization: COMPUTATIA-2010”, December, 17th to 18th, 2021, VGU, Jaipur.
44. Sushil Kumar Sharma, Dushyant Singh, Manish Shrivastava (2021), “Data Hiding In RGB Images Using Hybrid DWT-SVD Watermarking Technique”, Ilkogretim Online - Elementary Education OnlineISSN:1305-3515,DOI: 10.17051/ilkonline.2021.05.925, Vol 20 (Issue 5): pp. 8285-8292, Scopus Indexed Journal,impact factor: 0.25,https://www.bibliomed.org/mnsfulltext/218/218-1668357050.pdf?1676956669
45. Shrivastava, Alka and Shrivastava, Manish (2014), “Classroom Distraction Due to Mobile Phones Usage by Students: College Teachers’ Perceptions”, International Journal of Computer and Information Technology (ISSN: 2279 – 0764), Paper id: 26, Volume 03, Issue 03, May 2014, pp. 638-642, General Impact factor: 0.687, ICV: 6.24 Website: http://www.ijcit.com/archives/volume3/issue3/.
46. Maryam Humaid Alwashahi, Shrivastava, Manish (2014), “Investigation and optimization of scheduling system in Sohar University using Genetic Algorithm (GA)”, In Proceedings of the 2nd International Conference on Applied ICT, Middle East College, Muscat, Oman,28-29, April, 2014, Elsevier Ltd., Oxford, U.K. (Full paper in Proceedings, http://mec.edu.om/icaict2014/Proceedings.html, pp. 114.
47. Saxena, Vipin and Shrivastava, Manish (2010), “Performance Evaluation of Non-linear Pipeline through UML”, International Journal of Computer and Electrical Engineering (IJCEE), paper id: E583, Vol.2, No.5, pp. 860-866, October 2010. ISSN: 1793-8198 (Online Version); 1793-8163 (Print Version), International Association of Computer Science and Information Technology, Website: http://www.ijcee.org/. Impact factor: 0.757.
48. Saxena, Vipin and Shrivastava, Manish (2009), “UML Design for Performance Evaluation of Object -Oriented Programs on Dual Core Processors”, International Journal of Computer Theory and Engineering (IJCTE), Singapore, ISSN: 1793-821X (Online); 1793-8201 (Print), International Association of Computer Science and Information Technology (IACSIT), Vol. 1, No. 4, pp. 403-408, October 2009, http://www.ijcte.org/papers/064.pdf. Scopus Indexed Journal {Q4},impact factor: 3.07
49. Saxena, Vipin, Arora, Deepak and Shrivastava, Manish (2009), “Performance Evaluation of Network System through UML”, The Software Engineering Notes, ACM SIGSOFT, ISSN: 0163-5948, Vol. 34, No. 5, September 2009. http://doi.acm.org/10.1145/1598732.1598740. Impact factor: 0.52. Indexed in Scopus
50. Saxena, Vipin and Shrivastava, Manish (2009), “UML Modeling and Performance Evaluation of Multithreaded Programs on Dual Core Processor”, International Journal of Hybrid Information Technology (IJHIT), South Korea, ISSN: 1738-9968, Vol. 2, No. 3, pp. 15-24, July 2009. Scopus Indexed Journal {Q4},impact factor: 0.112, https://www.scopus.com/sourceid/21100773703 and UGC Approved Journal
51. Saxena, Vipin, Shrivastava, Manish and Arora, Deepak (2009), “Performance Estimation of Karnaugh-map through UML”, International Journal of Computer Science and Network Security, (IJCSNS), South Korea, ISSN: 1738-7906, Vol.9, No. 6, pp. 220-225, June 2009.Impact factor: 2.48,Thompson Reuter Indexed Journal
52. Saxena, Vipin and Shrivastava, Manish (2009), “Performance of Function Point Analysis through UML Modeling”, The Software Engineering Notes, ACM SIGSOFT, ISSN: 0163-5948, Vol. 34, No. 2, March 2009, DOI: http://doi.acm.org/ 10.1145/1507195.1507214. Impact factor: 0.52, Indexed in Scopus
53. Yadav, L.L. and Shrivastava, Manish (2007), “Teaching and learning of the nature of science and technology: A look from a developing country”, The International Journal of Learning, Common Ground Publishing Pty Ltd, Melbourne, Australia, ISSN(Print): 1447-9494, ISSN (Online): 1447-9540, Vol. 14, Issue 2, pp.119-126, URL: http://ijl.cgpublisher.com/product/pub.30/prod.1312. Impact factor: 0.23, DOI: http://doi.org/10.18848/1447-9494/CGP, Scopus Indexed Journal
54. Shrivastava, Manish and Bajpai, Gaurav (2007), “Evaluating Module Specifications: A Framework of Quantitative Approach with Visualisation”, Presented in the 25th Annual Conference of the Association for Educational Assessment in Africa (AEAA), 27-31, August, 2007, Kigali, Rwanda, URL: http://www.aeaaconference.org/repository/Day%204/Session%209%20-%20%201%20Manish.pps, Published by Journal for Educational Assessment in Africa, pp. 146-150.
55. Shrivastava, Manish and Ngarambe Donart (2006), “Sustainability Implications of Ubiquitous Computing Environment”, In Proceedings of the 1ST International Conference on Advances in Engineering and Technologies, Makerere University, Kampala, Uganda,17-19, July, 2006, pp. 514-521, Editors: Jackson A. Mwakali and Gyavira Taban-Wani, Elsevier Ltd., Oxford, U.K. (Full paper in Proceedings)
56. Ngarambe Donart, Ntayombya P and Shrivastava, Manish (2006), “Virtual Schools using LoColms to enhancing learning in the LDCs”, In Proceedings of the 1ST International Conference on Advances in Engineering and Technologies, Makerere University, Kampala, Uganda,17-19, July, 2006, pp. 562-571, Editors: Jackson A. Mwakali and Gyavira Taban-Wani, Elsevier Ltd., Oxford, U.K. (Full)
57. Shrivastava, Manish and Shrivastava, Alka (2005), “Implications of Ubiquitous Computing Environment on Personal Productivity”, In Proceedings of 11th International Conference on Productivity and Quality Research, ICPQR, IIT, New Delhi, 12-15 December, 2005. (Full paper in Proceedings)
58. Shrivastava, Manish, Yadav, L.L. and Shrivastava, Alka (2005), “From Distance Education to e-Learning: Changing the roles of Tutor and Learner”, In Proceedings of the 2005 ICDE International Conference on Open Learning and Distance Education, IGNOU, New Delhi, 19-23 November, 2005, (Full paper in Proceedings), URL: http://www.ignou.ac.in/icde2005/PDFs/theme2pdf/theme2_153.pdf, http://www.ignou.ac.in/icde2005/abs/theme2(final)(Abstract).pdf
59. Shrivastava, Manish and Shrivastava, Alka (2004), “Emerging Web Technologies for Web-Based Learning”, In Proceedings of AISECT 2004 -International Conference on ICT in Education and Development, All India Society for Electronic & Computer Technology, Bhopal and Dr. C.V. Raman University, Raipur, India, 16-18, December, 2004, Bhopal, India. (Full paper in Proceedings)

Book Chapters

Narayan B. Vikhe and Manish Shrivastava (2025), “Optimized Deep Learning Model for Predicting Brain Tumors”, In Intelligent Computing and Analytics in Image ProcessingEditors: Samarjeet Borah, Jambi Ratna Raja Kumar, Laxmi Bewoor,Rahul Joshi, Mahendra Prabhakar Deore, Book Series: Research Notes on Computing and Communication Sciences, CRC Press. URL: https://appleacademicpress.com/intelligent-computing-and-analytics-in-image-processing-/9781779640765
Narayan B. Vikhe and Manish Shrivastava (2026), “Deep CNN Optimization Method for MRI Image-Based Brain Tumor Identifications”, In Artificial Intelligence for Predictive HealthcareTowards Personalized Treatment and Disease Prevention
Editors: Syed Nisar Hussain Bukhari, Published by CRC Press. URL: https://www.routledge.com/Artificial-Intelligence-for-Predictive-Healthcare-Towards-Personalized-Treatment-and-Disease-Prevention/Bukhari/p/book/9781041137559

Conferences, Talks & Speaking Engagements

Convenor of one-week national FDP on“Intelligent Digital Security- The Next Generation of Cybersecurity”, 10-14 November, 2025, VGU, Jaipur.
Convenor and Speaker of a one-week FDP on “AI Tools in Teaching and Assessment”, 30 June-04 July, 2025, VGU, Jaipur.
Convenor of one-week National FDP on “Latest Tools and Trends in AI”, Nov. 11-16, 2024
Co-convener and Session chair for International Conferences: COMPUTATIA-IX, December, 17th to 18th, 2021, COMPUTATIA-X, December, 16th to 17th, 2022, COMPUTATIA-XI, December, 7th to 8th, 2023, COMPUTATIA-XII, February, 21-22, 2025, COMPUTATIA-XIII, February, 22-23, 2026.
Co-convener for Academia-Industry Conclave, December, 1st to 3rd, 2022, VGU, Jaipur
Convenor and Speaker of 02 days’ Workshop on “Research Paper Writing”, 12-13 January, 2022, VGU, Jaipur.
Convenor and Speaker of a one-day workshop on “Systematic Literature Review”, 16th February, 2022
Convenor and Speaker for 02 Days workshop on “UML2.0 and Design Patterns: Implementation using Rational Software Architect”, 18 – 19 February, 2014, MEC, Muscat, Oman.

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Quick Info

🏛️ Department

Department of Computer Science and Engineering

🎓 Qualification

Ph. D. in Computer Science

⏱️ Experience

32 year

🔬 Specialization

Data Science and Machine Learning, Software Engineering

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