1. Choudhary, T., Mishra, V., Goswami, A., 2021 Automated deep learning model optimization. Indian Patent : 202111013437, April 30, 2021 [Granted]
2. Vipul Mishra, Tapas Badal, Anurag Goswami, System and method for evaluating student learning using ai based real-time analysis, Indian Patent 202111034143, July 29, 2021 [Published]
3. V. K. Mishra, T. Badal, and A. Goswami, System and method for evaluating student learning using ai based real-time analysis, Indian Patent 202111034143,Jul. 29, 2021 [Published]

1. T. Choudhary, S. Gujar, A. Goswami, V. Mishra, and T. Badal, Deep learning based important weights-only transfer learning approach for covid-19 ct-scan classification, Applied Intelligence,pp. 1:15, 2022.
2. T. Choudhary, V. Mishra, A. Goswami, and J. Sarangapani, Heuristic-based automatic pruning of deep neural networks, Neural Computing and Applications, vol. 34, no. 6, pp.4889:4903, 2022.
3. T. Choudhary, V. Mishra, A. Goswami, and J. Sarangapani, Heuristic-based automatic pruning of deep neural networks, Neural Computing and Applications, vol. 34, no. 6, pp.4889:4903, 2022.
4. M. Dixit, K. Chaurasia, V. K. Mishra, D. Singh, and H.-N. Lee, 6+: A novel approach for building extraction from a medium resolution multi-spectral satellite, Sustainability, vol. 14, no. 3, p. 1615, 2022.
5. S. Mishra, T. Ahmed, V. Mishra, S. Bourouis, and M. A. Ullah, An online kernel adaptive filtering-based approach for mid-price prediction, Scientific Programming, vol. 2022, 2022.
6. S. Sinha, S. Mishra, V. Mishra, and T. Ahmed, Sector influence aware stock trend prediction using 3d convolutional neural network, Journal of King Saud University-Computer and Information Sciences,vol. 34, no. 4, pp. 1511:1522, 2022.
7. S. Suryawanshi, A. Goswami, P. Patil, and V. Mishra, Adaptive windowing based recurrent neural network for drift adaption in non-stationary environment, Journal of Ambient Intelligence and Humanized Computing, pp. 1:15, 2022.
8. A. Aggarwal, V. Sharma, A. Trivedi, et al., Two-way feature extraction using sequential and multimodal approach for hateful meme classification, Complexity, vol. 2021, 2021
9. Choudhary, Tejalal, Vipul Mishra, Anurag Goswami, and Jagannathan Sarangapani. A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices. Computers in Biology and Medicine 134 (2021): 104432. [IF-4.58]
10. Dixit, Mayank, Kuldeep Chaurasia, and Vipul Kumar Mishra. Dilated-ResUnet: A Novel Deep Learning Architecture for Building Extraction from Medium Resolution Multi-spectral Satellite Imagery. Expert Systems with Applications (2021): 115530, [IF-6.95].
11. Mishra, Balmukund, Deepak Garg, Pratik Narang, and Vipul Mishra. Drone-surveillance for search and rescue in natural disaster. Computer Communications (2020). Volume 156, 15 April 2020, Pages 1-10[IF - 3.16]
12. Mishra, Balmukund, Deepak Garg, Pratik Narang, and Vipul Mishra. A hybrid approach for search and rescue using 3DCNN and PSO. Neural Computing and Applications (2020): 1-15.[IF-5.60]
13. Tejalal Choudhary, Vipul Kumar Mishra, Anurag Goswami, Jagannathan Sarangapani, A Comprehensive Survey on Model Compression and Acceleration, Artificial Intelligence Review (AIRE) pp. 1-43 , [IF-8.18]
14. Isha Puthige, Kartikay Bansal ,Chahat Bindra , Mahekk Kapur, Dilbag Singh, Vipul Kumar Mishra, and Apeksha Aggarwal, et al. Safest Route Detection Via Danger Index Calculation: An Application for Visual Surveillance, Computers, Materials & Continua, [IF- 4.89]
15. Apeksha Aggarwal, Vibhav Sharma, Anshul Trivedi, Mayank Yadav, Chirag Agrawal, Dilbag Singh, Vipul Mishra, and Hasse`ne Gritli Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification Hindawi Complexity Volume 2021, Article ID 5510253, 7 pages [IF-2.8]
16. Vipul Kumar Mishra, GDSE: An Automated Gravitational Design Space Exploration of Data Path during Power-Performance Trade-off in Architectural Synthesis, IEEE VLSI Circuits & Systems Letter (Accepted Feb 2020)
17. Vipul Kumar Mishra, 'Majority Logic Synthesis for Area Delay Trade-off in Emerging Technologies IEEE VLSI Circuits & Systems Letter Volume 4 - Issue 2 May 2018 pp.8-12
18. Vipul Kumar Mishra, Anirban Sengupta, Swarm Inspired Exploration of Architecture and Unrolling Factors for Nested Loop Based Application in Architectural Synthesis IEEE/IET Electronics Letters, Volume 51, Issue: 2, Jan 2015, pp. 157-159, 2015 (IF =1.3).
19. Anirban Sengupta, Vipul Kumar Mishra Automated Exploration of Datapath and Unrolling Factor during Power-Performance Trade-off in Architectural Synthesis Using Multi-Dimensional PSO Algorithm, Elsevier Journal on Expert Systems With Applications, Volume 41, Issue 10, pp 4691-4703, August 2014 [IF-6.95].
20. Vipul Kumar Mishra, Anirban Sengupta MO-PSE: Adaptive Multi Objective Particle Swarm Optimization Based Design Space Exploration in Architectural Synthesis for Application Specific Processor Design, Elsevier Journal on Advances in Engineering Software, Volume 67, Issue: C, 111-124, January 2014. [IF-4.14].
21. Anirban Sengupta, Vipul Kumar Mishra, A Methodology for Comprehensive Schedule Delay Estimation during Design space Exploration in Architectural Synthesis, IEEE VLSI Circuits & Systems Letter (Letter of TCVLSI), Volume 1, Issue 1, April 2015, pp. 2 - 8.
22. Anirban Sengupta, Vipul Mishra. Simultaneous Exploration of Optimal Datapath and Loop Based High level Transformation during Area-Delay Tradeoff in Architectural Synthesis Using Swarm Intelligence, International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 19, no. 1, pp. 47-61, 2015.
23. Anirban Sengupta, Reza Sedaghat, Vipul Kumar Mishra, Execution Time-Area Trade-off in GA using Residual Load Decoder: Integrated Exploration of Chaining Based Schedule and Allocation in HLS for Hardware Accelerators, Journal of Electronics and Energetics: Facta Universitatis, Volume 27, No. 2, pp. 235-249, February 2014 (INVITED PAPER).

1. S. Mishra, T. Ahmed, and V. Mishra, Mid price prediction via statistical feature expansion and kerneladaptive filtering, in Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022, pp. 461:466.
2. P. Ravula, S. K. Ch, S. Gopisetty, H. Pedhamallu, V. K.Mishra, and T. Badal, Voip spam detection using machine learning, in 2022 6th International Conference on Intelligent Computing and Control Systems(ICICCS), IEEE, 2022, pp.1251:1258.
3. S. Agarwal, M. Gupta, S. Khandelwal, et al., Fitme: A fitness application for accurate pose estimation using deep learning, in 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC), IEEE, 2021, pp. 232:237.
4. M. Dixit, K. Chaurasia, and V. K. Mishra, Automatic building extraction from high-resolution satellite images using deep learning techniques, in Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences, Springer, 2021, pp. 773:783.
5. J. M. R. Dwarampudi, D. Rampavan, M. A. S. Sathwik, et al., Image caption generation in telugu, in 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), IEEE, vol. 1, 2021, pp. 438:443.
6. Harsh Kataria, Ambuje Gupta, Vipul Mishra, BennettNLP at SemEval-2021 Task 5: Toxic Spans Detection using Stacked Embedding Powered Toxic Entity Recognizer, In Proceedings of the Fifteenth Workshop on Semantic Evaluation collocated with ACL2021. August Pp. 941-947
7. Alarsh Tiwari; Rushil Goomer; Shanmukha S S Yenneti; Sonali Mehta; Vipul Mishra, Classification of Humans and Animals from Radar Signals using Multi-Input Mixed Data Model 2021 International Conference on Computer Communication and Informatics (ICCCI) DOI: 10.1109/ICCCI50826.2021.9402280
8. Samarth Agarwal, Manthan Gupta, Sahil Khandelwal, Pulkit Jain, Apeksha Aggarwal, Dilbag Singh and Vipul Kumar Mishra FitMe: A Fitness Application for Accurate Pose Estimation Using Deep Learning 2nd IEEE International Conference On Secure Cyber Computing And Communications (ICSCCC-2021) 2021, pp. 232-237
9. Aditya Singh, Avinash kumar, Nishtha Dua, Vipul Kumar Mishra, Dilbag Singh, Apeksha Agrawal, Predicting Elections Results using Social Media Activity A Case Study: USA Presidential Election 2020 7th IEEE International Conference on Advanced Computing and Communication Systems (ICACCS 2021), pp. 314-319
10. Jagan Mohan Reddy Dwarampudi, Damerla Rampavan, Mandavilli Anu Sandeep Sathwik, Kaipu Nivas Reddy,Vipul Kumar Mishra, Dilbag Singh, Apeksha Agrawal Image Caption Generation in Telugu 7th IEEE International Conference on Advanced Computing and Communication Systems(ICACCS 2021) , pp. 438-443
11. Rathor, Mahendra, Pallabi Sarkar, Vipul Kumar Mishra, and Anirban Sengupta. Securing IP Cores in CE Systems using Key-driven Hash-chaining based Steganography. In 2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin), pp. 1-4. IEEE, 2020.
12. Gupta, Ambuje, Harsh Kataria, Souvik Mishra, Tapas Badal, and Vipul Mishra. BennettNLP at SemEval-2020 Task 8: Multimodal sentiment classification Using Hybrid Hierarchical Classifier. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pp. 1085-1093. 2020.
13. Dixit, M., Chaurasia, K., & Mishra, V. K. (2021). Automatic Building Extraction from High-Resolution Satellite Images Using Deep Learning Techniques. In Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2020 (pp. 773-783). Springer Singapore.
14. Kuldeep Chaurasia, Neeraj Baipureddy, Dattu Burle, Vipul Mishra Topographical Feature Extraction Using Machine Learning Techniques from Sentinel-2A Imagery, Accepted in IGRASS 2020
15. Mayank Dixit, Kuldeep, Vipul Kumar Mishra Automatic Building Extraction From High Resolution Satellite Images Using Deep Learning Techniques , LAGRISS 2020
16. Vipul Kumar Mishra, Nikhil Tiwari, Dengue Disease Spread prediction using twofold linear regression, IEEE IACC 2019
17. Sai Dhanuj Nukala, Vipul Kumar Mishra, Gopala krishna murthy nookala , Modeling Earthquake Damage Grade Level Prediction Using Machine Learning And Deep Learning Techniques , ICDMAI, 2020
18. Vipul Kumar Mishra, Himanshu Thapliyal Heuristic based majority/ Minority Logic Synthesis for Emerging Technologies, 30th International Conference on VLSI Design (VLSID), Hyderabad, 2017, pp. 295-300.
19. Vipul Mishra, Cost Aware Majority Logic Synthesis for Emerging Technologies IEEE International Symposium on Nanoelectronic and Information Systems (iNIS), 2017 Pages 69-73.
20. Vipul Kumar Mishra, A Sengupta, Comprehensive Operation Chaining Based Schedule Delay Estimation During High Level Synthesis, IEEE International Symposium on Nanoelectronic and Information Systems (iNIS), 2017 Pages 66-68
21. Anirban Sengupta, Vipul Kumar Mishra, Integrated Particle Swarm Optimization (i-PSO): An Adaptive Design Space Exploration Framework for Power-Performance Trade-off in Architectural Synthesis, Proceedings of IEEE 15th International Symposium on Quality Electronic Design (ISQED 2014), Santa Clara, California, USA, March 2014, pp.60 - 67 (BLIND REVIEW).
22. Anirban Sengupta, Vipul Kumar Mishra, Swarm Intelligence Driven Simultaneous Adaptive Exploration of Datapath and Loop Unrolling Factor during Area-Performance Trade-off, Proceedings of 13th IEEE Computer Society Annual International Symposium on VLSI (ISVLSI), Florida, USA, July 2014, pp. 106-112 (BLIND REVIEW).
23. Vipul Mishra, Anirban Sengupta Swarm Intelligence Driven Design Space Exploration: An Integrated Framework for Power-Performance Trade-off in Architectural Synthesis , Proceedings of 25th IEEE International Conference on Microelectronics (ICM 2013), Sep 2013, pp 1-4.
24. Anirban Sengupta, Vipul Mishra, Automated Parallel Exploration of Datapath and Unrolling Factor in High Level Synthesis using Hyper-Dimensional Particle Swarm Encoding , Proceedings of 27th IEEE Canadian Conference on Electrical and Computer Engineering, Toronto, May 2014, pp. 000069 - 000073.
25. Vipul Kumar Mishra, Anirban Sengupta, PSDSE: Particle Swarm Driven Design Space Exploration of Architecture and Unrolling Factors for Nested Loops in High Level Synthesis Proceedings of 5th International Symposium on Electronic System Design (ISED 2014) pp 10- 14(DOUBLE BLIND REVIEW).
26. Anirban Sengupta and Vipul Kumar Mishra, Time Varying vs. Fixed Acceleration Coefficient PSO Driven Exploration during High Level Synthesis: Performance and Quality , Proceedings of 13th IEEE International Conference on Information Technology, pp. 281- 286, Dec 2014.
27. Anirban Sengupta, Vipul Kumar Mishra, Pallabi Sarkar, Rapid Search of Pareto Fronts using D-logic Exploration during Multi-Objective Trade-off of Computation Intensive Applications , Proceedings of IEEE 5th Asian Symposium on Quality Electronic Design (ASQED), Malaysia, pp. 113-122, August 2013.
28. Anirban Sengupta, Vipul Mishra, D-logic Exploration: Rapid Search of Pareto Fronts during Architectural Synthesis of Custom Processors, IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013), Mysore, pp. 586 - 593, August 2013.
29. Anirban Sengupta, Vipul Mishra, Multidimensional Encoding Based Evolutionary Exploration Approach: Adaptive Methodology for Parametric Trade-offs in High Level Synthesis for Control flow Graphs; Proceedings of 3rd IEEE CALCON, IEEE Kolkata, Nov 2014, pp. 43 - 46.
30. Mishra, V.K.; Mehta, D.A., Performance enhancement of NUMA multiprocessor systems with on-demand memory migration, IEEE 3rd International conference on Advance Computing Conference (IACC), 2013, pp.40-43

1. Poster presentation on " A High level Synthesis Design Flow ESL to RTL " in 2nd industry academia conclave 2013 held in Indian institute of Technology Indore.
2. Poster presentation on Swarm Inspired Design Space Exploration in High Level Synthesis in 3rd industry academia conclave 2014 held in Indian institute of Technology Indore.

• "How can AI and Data Analytics help in Decision Making Process" at 14th FICCI Higher Education Summit 2018.
• "Deep Learning in Computer Vision" at FDP in Maharaja Agrasen Institute Of Technology, Delhi.
• Guest Speaker in the Faculty Development Program “Industry 4.0: The Application of Artificial Intelligence & Mechatronics” (20-24 January 2020).
• Guest Speaker "Data Science in Engineering Applications” on “Deep Learning for Edge Devices” (26th April 2021 - 1st May 2021) at Anurag Group of Institution, Hyderabad.
• Guest Speaker "Data Science in Engineering Applications” on “Deep Learning for Computer Vision” (15th March 2021 – 20th March 2021) at Anurag Group of Institution, Hyderabad.
• Guest Speaker, A One Week Faculty Development Programme (FDP) On “Human-Centred Computing” (CMR Institute of Technology, Bengaluru, 01 - 05 February 2021).



Recent Invited talk since 2024 :-

• Deep learning for Transportation applications – 19-2-2024 – High-End Workshop (KAARYASHALA) Innovations in Transportation Infrastructure Development and Management, GSV, Vadodara – Academics
• Deep learning for predictive analytics – 24-2-2024 – High-End Workshop (KAARYASHALA) Innovations in Transportation Infrastructure Development and Management, GSV, Vadodara – Academics
• AI-Powered Learning Management Systems (LMS) For Efficient Course Administration – 13-10-2024 – Online teachers Training Program AI-Powered Learning Management Systems (LMS) for Efficient Course Administration, Janta College Bakewar Etawah, U.P – Academia
• Data Analytics (with AI & ML applications in Transportation) – 14-11-2024 – IRMS Management Module Training Program, IRITM, Lucknow – Industry
• Secure AI – 12-12-2024 – Five days Bootcamp on "Advanced Threat Detection and Mitigation", NIT Surat – Acadmia
• Security and privacy concerns in Artificial Intelligence – 19-12-2024 – Short-Term Training Program (STTP) on "Security and Privacy in Futuristic Technologies", NIT Surat – Acadmia
• Employement of AI and Data Science in Transport System – 20-1-2025 – ASC Senior officers course (SO-73), ASC center and college – Industry
• Data-Driven Decision Making for Logistics/SCM – 27-1-2025 – ITEC Course on Leadership Competencies in Logistics and SCM, GSV, Vadodara – Industry
• AI/ML Competencies and Predictive Analysis for SCM – 30-1-2025 – ITEC Course on Leadership Competencies in Logistics and SCM, GSV, Vadodara – Industry
• Data Analytics (with AI & ML applications in Transportation) – 18-2-2025 – 4 WEEK IRMS PROBATIONER TRAINING PROGRAM, GSV, Vadodara – Industry
• Predictive Maintenance in Railways – 20-2-2025 – 4 WEEK IRMS PROBATIONER TRAINING PROGRAM, GSV, Vadodara – Industry
• Predictive Analytics and forecasting – 20-2-2025 – 5 days Executive training on SUPPLY CHAIN SCIENCE, GSV, Vadodara – Industry
• Predictive Maintenance – 21-2-2025 – 5 days Executive training on SUPPLY CHAIN SCIENCE, GSV, Vadodara – Industry
• Emerging technologies shaping urban mobility – 8-3-2025 – Itech Course on Urban Mobility, GSV, Vadodara – Industry
• AI in Agriculture – 8-3-2025 – International Conference innovation, Entrepreneurship and incubation in Agriculture science and social science, Janta College Bakewar Etawah, U.P – Academia
• Employement of AI and Data Science in Transport System – 11-3-2025 – ASMAFT-20 Course, ASC center and college – Industry
• AI for Route Planning – 24-3-2025 – ITEC program on Multimodal Logistics, GSV – Industry
• PM Gati Shakti National Master Plan In action: Demonstration of Digital Tools and Layer for NLP implementation – 8-4-2025 – ASC Company Commander Officers Course(CC-107), ASC center and college – Industry
• PM Gati Shakti: Logistics, infrastructure, digital platforms – 21-4-2025 – 5 days Executive training on PM Gati Shakti national Master Plan and National Logistics Policy, GSV – Industry
• Demonstration of various components on National master plan – 22-4-2025 – 5 days Executive training on PM Gati Shakti national Master Plan and National Logistics Policy, GSV – Industry
• Ethical and security challenge in AI with hands-on – 14-5-2025 – FDP on Multimodal Generative AI: Techniques, Applications, and Future Directions, EICT Academy IIT Roorkee, Bennett University – Acadmia
• PM Gati Shakti National Master Plan In action: Demonstration of Digital Tools and Layer for NLP implementation – 24-5-2025 – ASC Senior officers course (SO-74), ASC center and college – Industry
• Deep Learning with GPU: A Hands-On Training – 29-5-2025 – Deep Learning with GPU: A Hands-On Training, NIT Surat – Acadmia

• Certified Nvidia Deep Learning Institute (DLI) Instructor.

Recent NVIDIA workshops since 2024 :-

Few Top Industry/Institutes:

• Indian Airforce
• Indian Army
• >CDAC Noida
• CDAC Noida
• GAIL India (GAIL Training Centre Noida)
• DAICT Gandhinagar
• College of Engineering Pune, Pune
• Symbiosis Institute of Technology, Pune