मालवीय राष्ट्रीय प्रौद्योगिकी संस्थान जयपुर (राष्ट्रीय महत्व का संस्थान)
Malaviya National Institute of Technology Jaipur (An Institute of National Importance)
Department of Artificial Intelligence & Data Engineering
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41

Journal Publications

12

Conference Publications

3

Research Projects

6

PhD Research Supervised

2

Awards & Honours

Qualifications
  • Ph.D.(CSE) from Delhi Technological University(2019)
    M.Tech.(CSE) from Delhi Technological University(2013)
    B.Tech.(CSE) from Uttar Pradesh Technical University(2010)
Research Interests

Big Data, Soft computing techniques, Data Clustering, Machine Learning, Computer Vision.

Brief Research Profile

Dr. Ashish Kumar Tripathi (Senior Member, IEEE) received his M.Tech. and Ph.D. degrees from Delhi Technological University (DTU), Delhi, in 2013 and 2019, respectively. He joined the Department of Computer Science and Engineering at Malaviya National Institute of Technology (MNIT) Jaipur as an Assistant Professor in February 2020 after serving at Jaypee Institute of Information Technology (JIIT), Noida. His research interests include Artificial Intelligence, Computer Vision, Remote Sensing, Smart Agriculture, and Environmental Health Monitoring. He has secured research funding from government and industry agencies and has published 39 SCI-indexed research papers, including articles in leading IEEE Transactions and other high-impact journals. His publications have received 2,300+ citations on Google Scholar. Dr. Tripathi has successfully supervised 3 Ph.D. scholars, 13 postgraduate students, and numerous undergraduate research projects. He also serves as a reviewer for several reputed international journals.

Professional Background
  • Assistant Professor at Jaypee Institute of Information Technology, Noida [04 January 2016 - 19 February 2020].
    Assistant Professor at Amity University, Greater Noida Campus [01 August 2013 - 31 July 2014].

  • Wireless Sensor Networks
  • Computer for Chemists
  • Concurrent and Parallel Programming
  • Concurrent Programming Lab
  • Data Structures
  • Data Structures and Algorithms
  • Introduction to Signals and Communication
  • Nature Inspired Algorithms
  • Object Oriented Analysis and Design
  • Operating System
  • Operating System Concepts
  • Parallel and Distributed Computing
  • Problem Solving Using C
  • Systems Programming
  • Systems Programming Lab

    2026
  • Sachin Gupta, Ashish Kumar Tripathi, Varun G Menon, Mohammad Ayoub Khan, "AgriFedCL: A Privacy-Preserving Federated Architecture with Curriculum Learning for Intrusion Detection in Agricultural Consumer Electronics" , IEEE Transactions on Consumer Electronics (IEEE) Volume :Early Aces / / 2026 DOI: 10.1109/TCE.2026.3704010
  • Ghanshyam Meena, Sachin Gupta, Ashish Kumar Tripathi, "Automated Ship Detection in Remote Sensing Imagery using Knowledge Distillation Feature Maps" , Defence Science Journal (DRDO) Volume :76 / 390-398 / 2026 DOI: https://doi.org/10.14429/dsj.21624
  • Sachin Gupta, Ashish Kumar Tripathi, Ajay Vijay Wankhade, "Feature fusion based deep dilated convolution network and explainable intelligence for defect identification in small-sample cauliflower crops" , Engineering Applications of Artificial Intelligence (Elsevier) Volume :173 / 114497 / 2026 DOI: https://doi.org/10.1016/j.engappai.2026.114497 Get rights and content
  • Sachin Gupta, Ashish Kumar Tripathi, Varun G. Menon, Varsha Arya, Brij B. Gupta, "Advancing sustainable and green agriculture with AI and IoT: Trends, challenges, and future directions" , Green Technologies and Sustainability (Elsevier) Volume :4 / / 2026 DOI: https://doi.org/10.1016/j.grets.2026.100351
  • Ashish Kumar Tripathi, Avinash Chandra Pandey, Shashank Tripathi, Himanshu Mittal, "GOA-SSVR: a novel parallel architecture approach for air pollution forecasting using apache spark and grasshopper optimizer" , Theoretical and Applied Climatology ( Springer Verlag) Volume :157 / / 2026 DOI: https://doi.org/10.1007/s00704-026-06090-5
    • 2025
  • Kamakhya Bansal , Ashish Kumar Tripathi, "Automated floating debris monitoring using optical satellite imagery and artificial intelligence: Recent trends, challenges and opportunities" , Remote Sensing Applications: Society and Environment (Elsevier) Volume :37 / 101475 / 2025 DOI: https://doi.org/10.1016/j.rsase.2025.101475
  • Sachin Gupta, Ashish Kumar Tripathi, "Flora-NET: Integrating dual coordinate attention with adaptive kernel based convolution network for medicinal flower identification" , Computers and Electronics in Agriculture (Elsevier) Volume :230 / 109834 / 2025 DOI: https://doi.org/10.1016/j.compag.2024.109834
  • Sachin Gupta, Ashish Kumar Tripathi, Nkenyereye Lewis, "Pre-trained noise based unsupervised GAN for fruit disease classification in imbalanced datasets" , Pattern Analysis and Applications (Springer ) Volume :28 / / 2025 DOI: https://doi.org/10.1007/s10044-025-01418-9
  • Tapas Gupta, Shridev Devji, Ashish Kumar Tripathi, "Investigating the impact of sentiments on stock market using digital proxies: Current trends, challenges, and future directions" , Expert System and Applications (Elsevier) Volume :285 / 127864 / 2025 DOI: https://doi.org/10.1016/j.eswa.2025.127864
  • Kamakhya Bansal, Ashish Kumar Tripathi, Avinash Chandra Pandey, "Efficient floating debris classification using a modified Vision Transformer and Sentinel-2 imagery" , Remote Sensing Applications: Society and Environment (Elsevier) Volume :38 / 101610 / 2025 DOI: https://doi.org/10.1016/j.rsase.2025.101610
  • Kamakhya Bansal, Ashish Kumar Tripathi, "FlotSegNet: A lightweight attention-based 3D encoder architecture for efficient segmentation of floating river debris in multi-spectral satellite imagery" , Expert System and Applications (Elsevier) Volume :296 / 128903 / 2025 DOI: https://doi.org/10.1016/j.eswa.2025.128903
  • Himanshu Mittal, Mukesh Saraswat, Raju Pal, Ashish Kumar Tripathi, Avinash Chandra Pandey , "SGSA-C: a new spiky gravitational search algorithm clustering method for segmentation" , International Journal of Machine Learning and Cybernetics (Springer ) Volume :XX / / 2025 DOI: International Journal of Machine Learning and Cybernetics
  • Sachin Gupta, Ashish Kumar Tripathi, Harshit Singh , "FruCapsNet: A shuffled attention based capsule network for multi-fruit quality assessment" , Soft Computing (Springer ) Volume :29 / 52775304 / 2025 DOI: https://doi.org/10.1007/s00500-025-10863-x
    • 2024
  • Sachin Gupta, Ashish Kumar Tripathi, V Parameswaran, "Attention Transfer-Based Deep Distilled Architecture for 6G Driven-Smart Vehicle Transportation System" , IEEE Transactions on Intelligent Transportation Systems (IEEE) Volume :26 / / 2024 DOI: 10.1109/TITS.2024.3476132
  • Sachin Gupta, Ashish Kumar Tripathi, Avinash Chandra Pandey , "Potcapsnet: an explainable pyramid dilated capsule network for visualization of blight diseases" , Neural Computing and Applications (Springer ) Volume :Early Acce / / 2024 DOI: https://doi.org/10.1007/s00521-024-10476-9
  • Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal, Lewis Nkenyereye , "SoyaTrans: A novel transformer model for fine-grained visual classification of soybean leaf disease diagnosis" , Expert Systems With Applications (Elsevier) Volume :260 / 125385 / 2024 DOI: https://doi.org/10.1016/j.eswa.2024.125385
  • Kamakhya Bansal, Ashish Kumar Tripathi, "An explainable MHSA enabled deep architecture with dual-scale convolutions for methane source classification using remote sensing" , Environmental Modelling & Software (Elsevier) Volume :181 / 106178 / 2024 DOI: https://doi.org/10.1016/j.envsoft.2024.106178
  • Kamakhya Bansal, Ashish Kumar Tripathi, Varun G. Menon, Venki Balasubramanian, "A Federated Generative Adversarial Network With SSIM-PSNR Based Weight Aggregation for Consumer Electronics Waste" , IEEE Transactions on Consumer Electronics (IEEE) Volume :Early Acce / -- / 2024 DOI: 10.1109/TCE.2024.3411785
  • Sachin Gupta, Ashish Kumar Tripathi, "Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities" , Engineering Applications of Artificial Intelligence (Elsevier) Volume :133 / 108260 / 2024 DOI: https://doi.org/10.1016/j.engappai.2024.108260
  • Kamakhya Bansal, Ashish Kumar Tripathi, "Dual level attention based lightweight vision transformer for streambed land use change classification using remote sensing" , Computers & Geosciences (Elsevier) Volume :191 / 105676 / 2024 DOI: https://doi.org/10.1016/j.cageo.2024.105676
  • Kamakhya Bansal, Ashish Kumar Tripathi, "WasteNet: A novel multi-scale attention-based U-Net architecture for waste detection in UAV images" , Remote Sensing Applications: Society and Environment (Elsevier) Volume :35 / 101220 / 2024 DOI: https://doi.org/10.1016/j.rsase.2024.101220
    • 2023
  • Kamakhya Bansal, Ashish Kumar Tripathi, Avinash Chandra Pandey, Vivek Sharma, "RfGanNet: An efficient rainfall prediction method for India and its clustered regions using RfGan and deep convolutional neural networks" , Expert Systems With Applications (Elsevier) Volume :235 / 121191 / 2023 DOI: https://doi.org/10.1016/j.eswa.2023.121191
  • Vivek Sharma, Ashish Kumar Tripathi, Purva Daga, Nidhi M., Himanshu Mittal, "ClGanNet: A novel method for maize leaf disease identification using ClGan and deep CNN" , Signal Processing: Image Communication (Elsevier) Volume :120 / 117074 / 2023 DOI: https://doi.org/10.1016/j.image.2023.117074
  • Ashish Kumar Tripathi, Avinash Chandra Pandey, Nikhil Sharma , "A new electricity theft detection method using hybrid adaptive sampling and pipeline machine learning" , Multimedia Tools and Applications (Springer ) Volume :XX / / 2023 DOI: https://doi.org/10.1007/s11042-023-17730-7
  • Ashish Kumar Tripathi, K. Akul Krishnan, Avinash Chandra Pandey, "A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities" , Wireless Personal Communications (Springer ) Volume :129 / / 2023 DOI: https://doi.org/10.1007/s11277-023-10230-9
  • Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal, "DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection" , Ecological Informatics (Elsevier) Volume :75 / / 2023 DOI: https://doi.org/10.1016/j.ecoinf.2023.102025
    • 2022
  • Himanshu Mittal1, Ashish Kumar Tripathi, Avinash Chandra Pandey, P. Venu, Varun G. Menon, Raju Pal, "A novel fuzzy clustering-based method for human activity recognition in cloud-based industrial IoT environment" , Wireless Networks (Springer) Volume :EA / / 2022 DOI: https://doi.org/10.1007/s11276-022-03011-y
  • Vivek Sharma, Ashish KumarTripathi, "A systematic review of meta-heuristic algorithms in IoT based application" , Array (Elsevier) Volume :14 / 1-6 / 2022 DOI: https://doi.org/10.1016/j.array.2022.100164
  • Himanshu Mittala, Ashish Kumar Tripathi, Avinash Chandra Pandeyc, Mohammad Dahman Alshehrid, Mukesh Saraswata, Raju Pal, "A new intrusion detection method for cyberphysical system in emerging industrial IoT" , Computer Communications (Elsevier) Volume :190 / 24-35 / 2022
  • Raju Pal, Ashish Kumar Tripathi, Avinash Chandra Pandey, Mohammad Ayoub Khan, Varun G. Menon, Himanshu Mittal, "A N2CNN-Based Anomaly Detection Method for Cardiovascular Data in Cyber-Physical System" , IEEE Transactions on Network Science and Engineering (IEEE) Volume :EA / 1-10 / 2022 DOI: 10.1109/TNSE.2022.3188881
  • Vivek Sharmaa, Ashish KumarTripathi, Himanshu Mittal, "Technological revolutions in smart farming: Current trends, challenges & future directions" , Computers and Electronics in Agriculture (Elsevier) Volume :201 / / 2022 DOI: https://doi.org/10.1016/j.compag.2022.107217
  • Avinash Chandra Pandey, Ankur Kulhari, Himanshu Mittal, Ashish Kumar Tripathi, Raju Pal, "Improved exponential cuckoo search method for sentiment analysis" , Multimedia Tools and Applications, Springer (Springer) Volume :Accepted / / 2022 DOI: https://doi.org/10.1007/s11042-022-14229-5
  • Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal, Abhishek Parmar, Ashutosh Soni, Rahul Amarwal, "WeedGan: a novel generative adversarial network for cotton weed identification" , The Visual Computer (Springer) Volume :Accepted / / 2022 DOI: https://doi.org/10.1007/s00371-022-02742-5
  • Roop Singh, Mukesh Saraswat, Alaknanda Ashok, Himanshu Mittal, Ashish Tripathi, Avinash Chandra Pandey, RajuPal, "From classical to soft computing based watermarking techniques: A comprehensive review" , Future Generation Computer Systems (Elsevier) Volume :Accept / / 2022 DOI: https://doi.org/10.1016/j.future.2022.12.015
    • 2021
  • Himanshu Mittal, Avinash Chandra Pandey, Raju Pal, Ashish Tripathi, "A new clustering method for the diagnosis of CoVID19 using medical images" , Applied Intelligence, Springer (Springer ) Volume :51 / 2988-3011 / 2021
  • Himanshu Mittal, Ashish Tripathi, Avinash Chandra Pandey, Raju Pal , "Gravitational search algorithm: a comprehensive analysis of recent variants" , Multimedia Tools and Applications (Springer ) Volume :80 / 7581-7608 / 2021
  • Ashish Kumar Tripathi, Himanshu Mittal, Pranav Saxena, Sidharth Gupta, "A new recommendation system using map-reduce-based tournament empowered Whale optimization algorithm" , Complex & Intelligent Systems (Springer ) Volume :7 / 297-309 / 2021
    • 2020
  • Ashish Kumar Tripathi, Kapil Sharma, Manju Bala, Akshi Kumar, Varun G. Menon, Ali Kashif Bashir, "A Parallel Military-Dog-Based Algorithm for Clustering Big Data in Cognitive Industrial Internet of Things" , IEEE Transactions on Industrial Informatics (IEEE) Volume :17 / 2134 - 214 / 2020
    • 2019
  • Ashish Kumar Tripathi, Kapil Sharma, Manju Bala, "Fake Review Detection in Big Data Using Parallel BBO" , International Journal of Information Security and Privacy (IJISP) (IGI Global Publishing) Volume :13 / 106-122 / 2019
    • 2018
  • Ashish Kumar Tripathi, Kapil Sharma, Manju Bala, "A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce" , Big data research (Elsevier) Volume :14 / 93-100 / 2018
  • Ashish Kumar Tripathi, Kapil Sharma, Manju Bala, "Dynamic frequency based parallel k-bat algorithm for massive data clustering (DFBPKBA)" , International Journal of System Assurance Engineering and Management (Springer) Volume :9 / 866-874 / 2018

    2025
  • Sachin Gupta, Ashish Kumar Tripathi, Satyendra Singh Chouhan, "RMC-Net: Fruit Maturity Classification Network for Digital and Thermal Imaging Based on Transfer Learning and Shuffle Attention" , Fifth International Conference on Computing and Communication Networks by :Springer at Manchester, United Kingdom / / 2025
    • 2023
  • Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal, "CLDA-Net: A Novel Citrus Leaf Disease Attention Network for Early Identification of Leaf Diseases" , 15th International Conference on Computer and Automation Engineering by :IEEE at Sydney, Australia / 178-182 / 2023
    • 2022
  • Vivek Sharma, Ashish Kumar Tripathi, Himanshu Mittal, "Technological Advancements in Automated Crop Pest and Disease Detection: A Review & Ongoing Research" , International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS) by :IEEE at Ernakulam, India / / 2022
  • Sachine Gupta, Ashish Kumar Tripathi, Sachin Agrawal, "FruVeg-Net: A Novel Method for Early Disease Diagnosis in Multi-Fruits and Vegetables" , International Conference on Computing, Communication, Security and Intelligent Systems by :Springer at Ernakulam, India / / 2022
    • 2019
  • Shivangi, Anubhav Johri, Ashish Tripathi, "Parkinson Disease Detection Using Deep Neural Networks" , International Conference on Contemporary Computing (IC3) by :IEEE at Noida / 1-4 / 2019
  • Avinash Chandra Pandey, Ashish Kumar Tripathi, Raju Pal, Himanshu Mittal, Mukesh Saraswat, "Spiral Salp Swarm Optimization Algorithm" , International Conference on Information Systems and Computer Networks (ISCON) by :IEEE at Mathura / 722-727 / 2019
  • Ashish Kumar Tripathi, Pranav Saxena, Siddharth Gupta, "MapReduce-Based Dragonfly Algorithm for Large-Scale Data-Clustering" , International Conference on Image Information Processing (ICIIP) by :IEEE at Waknaghat / 171-175 / 2019 ISBN: 978-1-7281-0899-5
    • 2018
  • Tripathi Ashish, Sharma Kapil, Bala Manju, "Parallel Bat Algorithm-Based Clustering Using MapReduce" , International Conference on Recent Advancement in Computer, Communication and Computational Sciences(RACCCS-2016) by :Springer, Singapore at Udaipur / 73-82 / 2018
    • 2016
  • Nupur Bansal, Sanjay Kumar, Ashish Tripathi, "Application of Artificial Bee Colony Algorithm Using Hadoop" , International Conference on Computing for Sustainable Global Development (INDIACom) by :IEEE at Delhi / 3615-3619 / 2016
    • 2015
  • Satyam Kashyap, Ashish Tripathi, Kapil Sharma, "Analysis and Ranking of Software Engineering Metrics" , International Conference on Computing for Sustainable Global Development (INDIACom 2015), Delhi by :IEEE at Delhi / 1654-1659 / 2015 ISBN: 9781479968329
  • K Sharma, AK Tripathi, "Improving Software Quality Based on Relationship Among the Change Proneness and Object Oriented Metrics" , International Conference on Computing for Sustainable Global Development (INDIACom 2015), Delhi by :IEEE at Delhi / 1633 - 163 / 2015 ISBN: 9781479968329
    • 2014
  • Ashish Kumar Tripathi, Kapil Sharma, "Optimizing Testing Efforts Based on Change Proneness Through Machine Learning Techniques" , PIICON 2014 by :IEEE at Delhi / 1-4 / 2014 ISBN: 9781479960439

Level Type Collaborator Organization Year
InternationalPublication: Himanshu MittalJaypee Institute of Information Technology2022
InternationalPublication: Avinash Chnadra PandeyIndian Institute of Information Technology, Design and Manufacturing, Jabalpur2022
InternationalPublication: Raju PalJaypee Institute of Information Technology, Noida2022
InternationalPublication: Mohammad Dahman AlshehriTaif University, Saudi Arabia2022
InternationalPublication: Akshi KumarManchester Metropolitan University2021
InternationalPublication: Varun G. MenonSCMS School of Engineering and Technology, Ernakulam2021
InternationalPublication: Ali Kashif BashirManchester Metropolitan University2021
InternationalPublication: Kapil SharmaDelhi Technological University, New Delhi2021

  • Member of IEEE

    Awarded
  • Kamakhya Bansal on Development of efficient computational methods for environmental health monitoring using remote sensing Year - 2026
  • Sachin Gupta on Development of efficient deep learning methods for crop monitoring Year - 2025
  • Vivek Sharma on Design and Development of Efficient Computational Methods for Intelligent Farming Year - 2023
    • Ongoing
  • Kirti Paliwal on Computer vision based natural disaster assessment using remote sensing Year - 2024
  • Pooja Varshney on Crop monitoring in hazy environment using remote sensing Year - 2024
  • Harshit Singh on Development of deep learning based methods for land use detection using remote sensing Year - 2024

    2024-2025
  • GHANSHYAM MEENA on Automated Ship Detection in Remote Sensing Imagery Using Knowledge-Distilled Feature Maps Year - 2024-2025 (Completed)
  • KAMAL on Land Use Change Detection in Complex Terrains Using Multi-Spectral Satellite Imagery Year - 2024-2025 (Completed)
  • NIHAR KAJLA on Enhancing Weed Image Augmentation with Dark Channel Prior Guided Diffusion in Hazed Condition Year - 2024-2025 (Completed)
    • 2023-2024
  • KAUSHAL SHARMA on Attention based LSTM For economic indicator prediction using user sentiment Year - 2023-2024 (Completed)
  • SHAIZAD MALIK on Semantic segmentation based landslide monitoring using remote satellite images Year - 2023-2024 (Completed)
  • SURYA PRAKASH on Transfer learning based fruit quality analysis using RGB and Thermal Images Year - 2023-2024 (Completed)
    • 2022-2023
  • Harshit Singh on VegCaps: A Shuffled Attention based Capsule Network for Vegetable Quality Assessment Year - 2022-2023 (Completed)
  • AJAY VIJAY WANKHADE on Cauli-VegNET: An efficient Hybrid Classifier with Dilated Convolution for Cauliflower Disease Identification Year - 2022-2023 (Completed)
  • Srishti Raj on Plant Disease Detection and Classification Year - 2022-2023 (Completed)
    • 2021-2022
  • Kamakhya Bansal on An Efficient Rainfall Prediction Model for India and her Clustered Regions using RfGan and Deep CNN Year - 2021-2022 (Completed)
  • Akul Krishnan K on A Novel Blockchain and IoT based Food Traceability model for Smart City using EOSIO Year - 2021-2022 (Completed)

  • Topic: An Adaptive Attention Based Deep Learning Network for Semantic Segmentation in RGB and Thermal Iamges Year - 2023-2024
    Dharam Pal, Tushar Jain (Completed)
  • Topic: Coordinated Feature Refinement Based Involutional Neural Network for Medicinal Flower Species Recognition Year - 2023-2024
    Vivek Chandwani, Surendra Kumar (Completed)
  • Topic: Temporal Attention Based Bi-LSTM model for multivariate time series gas prediction Year - 2023-2024
    Dharmesh Sharma, Nisarg Vaishnav (Completed)

Title Total Outlay
(In Lacs)		 Year Funding Agency Role
River Health Monitoring using Earth Observation imagery and Deep Learning Time Series Analysis and Future Forecast 7.532024-2025ICSSRPI
Automated Maze Leaf Disease and Weed Detection in Extreme Weather Conditions Using Deep Neural Networks.5.042023-2024Doremon LabsPI
Design and development of efficient methods for food quality assessment using computer vision. 14.402022-2023LUMACHAIN SOLUTIONSCo-PI

  • Coordinator, Institute Website in Malaviya National Institute of Technology Jaipur from - 28-04-2023 to Till Date
  • Member, CDEC Center in Malaviya National Institute of Technology Jaipur from - 13-10-2022 to Till Date
  • Faculty Advisor Technical Club (Data Science) in Malaviya National Institute of Technology Jaipur from - 10-10-2022 to Till Date
  • Time table coordinator in Malaviya National Institute of Technology Jaipur from - 01-08-2022 to Till Date
  • Member, Executive Committee, Staff Club (Teaching) in Malaviya National Institute of Technology Jaipur from - 31-12-2021 to Till Date
  • Hostel Warden in Malaviya National Institute of Technology Jaipur from - 28-07-2022 to 12-07-2023
  • Co-coordinator, centre for E-Learning (CeL) in Malaviya National Institute of Technology Jaipur from - 19-08-2021 to 18-07-2022
  • Coordinator Website in Malaviya National Institute of Technology Jaipur from - 01-08-2021 to 01-08-2022
  • Coordinator Web Portal, Creative Arts & Cultural Society in Malaviya National Institute of Technology Jaipur from - 23-03-2021 to 01-03-2022

  • Outstanding Teacher Award for given by MNIT Jaipur Year - 2025
  • Qualified National Eligibility Test for Eligibility for Assistant Professor for given by UGC-Net Year - 2017

SNo. Type Title Event Place Schedule
1TalkApplications of AI-Machine Learning and Soft Computing TechniquesFaculty Development Programme Kalindi College, University of DelhiJan-2022
2TalkMachine Learning with PythonFaculty Development ProgrammeB K Birla Institute of Engineering and TEchnology, PilaniDec-2021
3TalkApplication of AI in Health CareFaculty Development ProgrammeArya College Of Engineering and I.T., RajasthanJan-2021
4TalkMachine Learning with PythonFDPOnlineDec-2020
5TalkMachine Learning TechniquesFaculty Development Programme Jaipur Engineering College, KukasDec-2020
6TalkGrey Wolf Optimization and its ApplicationFaculty development program Jaypee Institute of Information Technology, Sector-128, NoidaApr-2019
7TalkIntroduction to MATLABFaculty Development ProgrammeModern Institute of Technology & Research Centre, AlwarDec-2018
8TalkIntroduction to LATEXFaculty Development ProgrammeCompucom Institute of Technology and Management, JaipurNov-2018
9TalkDeep Learning techniquesFaculty Development ProgrammeNathdwar Institute of Engineering & Technology, Nathdwar, IndiaSep-2018
10TalkWriting Research papers Using LATEXFaculty Development ProgrammeGlobal Institute of Technology, Jaipur, IndiaJun-2018
11TalkParallel Ecolutionary ComputationFaculty Development ProgrammeJaypee Institute of Information Technology, Sector-128, Noida, IndiaMay-2018
12TalkMachine Learnig for Big DataFaculty Development ProgrammeChartered Insitute of Technology, Abu Road, IndiaMar-2018

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A novel fuzzy clustering-based method for human activity recognition in cloud-based industrial IoT environment
Read more..

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Technological Revolutions in Smart Farming: Current Trends, Challenges & Future Directions
Read more..