Dr. Manmohan Singh Yadav

@iimtindia.net

Assistant Professor in CSE(AI)
IIMT COLLEGE OF ENGINEERING, GREATER NOIDA

Dr. Manmohan Singh Yadav


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https://researchid.co/manmohan100

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science
10

Scopus Publications

107

Scholar Citations

6

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Multi-Channel Hybrid Deep Learning Architecture for Automated Cyberbullying Detection in Social Media
    Rajiv Kumar Nath, Inderpreet Kaur, Manmohan Singh Yadav, Sandeep Kumar, Tanay Mehta
    7th International Conference on Innovative Trends in Information Technology Icitiit 2026, 2026
    Cyberbullying has become one of the most serious issues on social media, especially because of its emotional and psychological effects on young people. Many existing detection techniques still find it difficult to understand the hidden meanings, sarcasm, and informal expressions that appear in abusive language online. In this paper, a hybrid deep learning model is proposed that brings together several methods to improve the accuracy of cyberbullying detection. The approach uses BERT for understanding context, CNN for identifying short text patterns, and Bi-LSTM with attention to learn long-term relationships in sentences. Along with these, some manually selected features such as sentiment, punctuation, and capitalization patterns are also added. All these features are then combined to make a strong prediction model. To deal with imbalance in the dataset, Focal Loss is applied and different learning rates are used for proper finetuning. The model was tested on a dataset of social media posts and achieved 93.07% accuracy, 93.17% F1-score, 91.87% precision, and 94.51 % recall, with an ROC-AUC score of 0.9742. These results show that by combining different feature types can significantly improve the performance of cyberbullying detection systems and help in developing more reliable content moderation tool.
  • Development of smart and automated solid waste management systems
    Shipra Shivkumar Yadav, Shashi Kant Gupta, Manmohan Singh Yadav, Rohit Shinde
    Sustainable Solutions for Environmental Pollution Urban Sustainability and Education for Waste Management, 2025
  • ABSA-Driven Recommendation System for Domain-Specific Decision-Making
    Deena Nath, Sanjay Kumar Dwivedi, Ajay Pratap Singh Yadav, Ankur Srivastava, Manmohan Singh Yadav
    2025 Artificial Intelligence and Smart Technologies for Sustainability Conference Aists 2025, 2025
    In democracy like India, public opinion is a significant factor in the formulation of government policies and measure. Understanding people's feelings and concerns about certain aspects of government behaviour is important for governance and policy development. Traditional sentiment analysis methods often fail to capture the crucial sentiments and emotions expressed by the public. ABSA deals with three main functions: aspect extraction, category detection and sentiment classification. By exploring the details of each function, we aim to explain the process of understanding the public opinion of ABSA, its importance and feasibility for the government of India. We propose a model using BERT+CRF for aspect extraction, RoBERTa with attention for aspect category detection, and DistilBERT+GRU with attention for sentiment classification, ensuring precise and context-aware analysis. The proposed a model obtain 0.914 accuracy, 0.937 precision, 0.935 recall, 0.915 f1 score, and 0.874 AUC-ROC.
  • Innovative waste treatment technologies
    Shipra Shivkumar Yadav, Manmohan Singh Yadav, Shashi Kant Gupta, Pawan Whig, Alpna Sharma, Stalin Chittineni
    Sustainable Solutions for Environmental Pollution Urban Sustainability and Education for Waste Management, 2025
  • Analyzing and Detecting the Fake News using Machine Learning
    Santosh Kumar Upadhyay, Manmohan Singh Yadav, Vipin Kumar Chaudhary, Motashim Rasool
    2nd IEEE International Conference on Iot Communication and Automation Technology Icicat 2024, 2024
    Fake news has grown to be a significant concern in the age of social media and online information sharing. False news detection is a difficult problem requiring a multidisciplinary approach combining natural language processing, machine learning, and social network research. This paper provides a short review of the area by classifying the research on false news identification into three categories: feature-based approaches, machine learning methods, and social network analysis methods. Further, we have applied machine learning algorithms to identify false news. We look at various feature types used for false news identification, including textual features, metadata features, and social context features. Our proposed system performed well with a classification accuracy of 99.70%. Furthermore, we delineate prospective remedies for the issues and constraints of existing fake news detection methods.
  • Image captioning System Using LSTM and VGG16
    Manish Kumar Singh, Santosh Kumar Upadhyay, Nidhi Sharma, Rupak Kumar, Manmohan Singh Yadav
    2nd IEEE International Conference on Iot Communication and Automation Technology Icicat 2024, 2024
    The process of creating literary descriptions or captions for images based on their content is referred to as automatic picture captioning. This machine-learning task combines natural language processing (NLP) and computer vision to generate the captions. Currently, auto photo captioning is a highly advanced and rapidly evolving research field, with new methods being proposed regularly to improve results. However, there remain challenges to achieving human-level performance. This analysis aims to build on the findings from previous research to push the boundaries further. In this study, we extracted features from images using the VGG16 model of CNN, which serves as an encoder, along with the Flickr dataset. A Long Short-Term Memory acts as a decoder, using the built-in lexicon and image features to generate captions for the photographs. The extracted image features are converted into a feature vector, which is then input to the LSTM to create representations that correspond to the visual content of the image. The captions describe various aspects of the image, such as the object's name, location, colour, dimensions, features, and surroundings. BLEU (1 to 4) is the most used evaluation metric in all studies. The LSTM algorithm combined with CNN has also been found to outperform RNN combined with CNN. We identified that the encoder-decoder architecture and the attention mechanism are two of the most promising methods for implementing this model. Utilizing both approaches together can significantly advance the project.
  • An IoT Solution for Enhanced Tray Management Systems in Food Service and Industrial Settings
    Vipin Kumar Chaudhary, Suchita Singh, Nagendra Pratap Singh, Sana Afreen, Manmohan Singh Yadav, Durgesh Kumar Gupta
    IEEE International Conference on Signal Processing and Advance Research in Computing Sparc 2024, 2024
    This study introduces TraySmart, a cutting-edge Internet of Things (IoT) tool meant to completely transform the effectiveness and administration of tray systems in industrial, food court, and cafeteria environments. TraySmart employs cutting-edge technologies like weight sensing, RFID tag reading, temperature monitoring, NFC for user interaction, and $\\mathrm{Wi}-\\mathrm{Fi} /$ Bluetooth for data transmission to tackle the widespread issues associated with tray management, such as inefficient operations, concerns about food safety, and less-than-ideal user experiences. The weight-sensing feature of the device makes it possible to identify objects on the tray and monitor the contents of the tray in real time. Reading RFID tags makes identifying and tracking items easier, improving inventory control and lowering loss. Food safety and quality assurance depend on food items maintaining their ideal temperatures, which is ensured via temperature monitoring. Furthermore, NFC technology enhances the eating experience by enabling users to engage with the smartphone for payments or feedback. The communication options on the device guarantee smooth data transfer to a central system, facilitating thorough data analysis and system optimization. This essay covers the creativity, design, and development of the TraySmart prototype, the difficulties faced, and the strategies used in the process. The report assesses TraySmart’s effect on operational efficiency, food safety standards, and customer happiness by carefully examining the outcomes of pilot testing. With its scalable solution to improve tray management systems, TraySmart marks a significant leap in the application of IoT technology in the food service and industrial sectors. The results highlight how IoT gadgets like TraySmart have the power to revolutionize operational procedures and service delivery, establishing a new benchmark for innovation in the industry.
  • Outlier detection in WSN by entropy based machine learning approach
    Manmohan Singh Yadav, Shish Ahamad
    Indonesian Journal of Electrical Engineering and Computer Science, 2020
    <p>Environmental disasters like flooding, earthquake etc. causes catastrophic effects all over the world. WSN based techniques have become popular in susceptibility modelling of such disaster due to their greater strength and efficiency in the prediction of such threats. This paper demonstrates the machine learning-based approach to predict outlier in sensor data with bagging, boosting, random subspace, SVM and KNN based frameworks for outlier prediction using a WSN data. First of all database is pre processed with 14 sensor motes with presence of outlier due to intrusion. Subsequently segmented database is created from sensor pairs. Finally, the data entropy is calculated and used as a feature to determine the presence of outlier used different approach. Results show that the KNN model has the highest prediction capability for outlier assessment.</p>
  • Outlier detection in wireless sensor networks data by entropy based K-NN predictor
    Manmohan Singh Yadav*, , Shish Ahamad, and
    International Journal of Innovative Technology and Exploring Engineering, 2019
    Anomaly (outlier) detection is plays very significant role in ESN based monitoring application using on large data used for biomedical and defence. Wireless Sensor network monitor environmental parameters (temperature, humidity, pressure, vibration etc). Group of sensor nodes forms a (WSN) and observations collected from these sensor produces low data quality and reliability due to the limited energy, memory, computation capability and bandwidth. The dynamic environment of network and roughness of the working condition are also responsible to generate inaccuracy in measurements. In this paper, an approach for outliers detection based entropy value of received sensor voltages is applied using KNN prediction model .The algorithm development and analysis involves a real time database generated on 14 sets of MICA2 wireless sensor kit with anomaly inserted by real time motion based intrusion in the lab by volunteers from Intel Berkeley lab. On each sensor data pair segmentation is applied by fixed window size in order get large outliers’ measurements training dataset. The analysis demonstrates the measurement accuracy in detection of number of outliers that its 86%. Moreover, the algorithm also provides an analysis in terms of impact of variation in distance types and number of nearest neighbours in the KNN prediction model. This work is helpful in the application in the situations where high amount of noise or distortions are present. The outlier part from distorted data can be figured out and recollected to enhance application accuracy.
  • Advance 1d Sensor Network Opportunistic Routing for Lifetime Enhancement by Adaptive Duty Cycling
    Uday Singh, Shafeeq Anmad, Manmohan Singh Yadav
    2018 International Conference on Computational and Characterization Techniques in Engineering and Sciences Cctes 2018, 2018
    Vitality budgetary price range improvement transforms into one of the crucial issues within the remote sensor organize (WSN) directing conference plan, as a result of truth that maximum sensor hubs are organized with the constrained non rechargeable battery energy. In this paper, we mindfulness on limiting electricity utilization and expanding community lifetime for certainties hand-off in one-dimensional (1-D) line set up. Following the statute of pioneering steerage popular, multihop transfer choice to streamline the machine great execution is made basically based at the sorts amongst sensor hubs, in expressions of both their separation to sink and the lingering excellent of every different. In precise, an Energy Saving with advanced Routing calculation is supposed to persuade sure negligible power to price at some phase in records switch and screen the hubs with surely low final force. Broad reproductions and proper test snoozing pad impacts display that the proposed arrangement can impressively enhance the community general execution on high-quality sparing and WSN availability conversely with various present WSN directing plans.

RECENT SCHOLAR PUBLICATIONS

  • Deep Learning-Enabled Decision Support Systems For Strategic Business Management
    RT Gadhave, SK Dhingra, MB Abhishek, MK Thota, PK Sholapurapu, ...
    International Journal of Environmental Sciences 11 (7), 2025 , 2025
    2025
    Citations: 19
  • The Ethical Considerations in the Development and Use of Robotics
    DRMS YADAV
    IRE Journals 6 (11), 210-219 , 2023
    2023
  • Outlier detection in WSN by entropy based machine learning approach
    MS Yadav, S Ahamad
    Indonesian Journal of Electrical Engineering and Computer Science 20 (3 … , 2020
    2020
    Citations: 1
  • Assessing long-term changes in spatial extent of sodic areas in Gangetic plains of north India
    RS Verma, A Mathur, L Sharma, AK Singh, MS Yadav, B Lal
    Journal of Soil Salinity and Water Quality 11 (2), 145-151 , 2019
    2019
    Citations: 1
  • Advance 1d sensor network opportunistic routing for lifetime enhancement by adaptive duty cycling
    U Singh, S Anmad, MS Yadav
    2018 International Conference on Computational and Characterization … , 2018
    2018
    Citations: 5
  • Anomaly Detection in Wireless Sensor Networks—Critical Survey
    S Yadav, S Ahamad
    Second International Conference on Advancement in Computer Engineering and … , 2018
    2018
    Citations: 3
  • Image processing based disease detection for sugarcane leaves
    A Khan, MS Yadav, S Ahmad
    International Journal of Advance Research, Ideas and Innovations in … , 2017
    2017
    Citations: 13
  • Novel approach for sol–gel synthesis of nanosize aluminium titanate
    M Sharma, DK Singh, RK Upadhyay, MS Yadav, SS Amritphale, ...
    Materials Research Innovations 18 (3), 235-240 , 2014
    2014
    Citations: 13
  • Notification of crop varieties and registration of germplasm
    LD Sharma, Y Singh, R Sharma, LD Sharma, Y Singh, R Sharma, ...
    INDIAN JOURNAL OF GENETICS AND PLANT BREEDING 73 (2), 228-231 , 2013
    2013
  • Impact of dose and energy of argon (40Ar+) and fluorine (19F+) ion implantation on uniformity of silicon oxidation
    R Kumar, MS Yadav, K Kishore, K Sambhawam, S Goyal, DN Singh, ...
    Vacuum 81 (3), 260-264 , 2006
    2006
    Citations: 2
  • Integrated weed management in transplanted fingermillet.
    CY Chandrashekhar Yadav, S Ahmad, MS Yadav
    2005
  • Integrated Weed Management in Transplanted Fingermillet
    C Yadav, S Ahmad, MS Yadav
    Journal of Research-Birsa Agricultural University 17 (2), 253 , 2005
    2005
    Citations: 4
  • Deposition using RF Magnetron Sputtering
    M Kumar, S Ahmad, PJ George¹, MS Yadav¹
    Physics of Semiconductor Devices: Proceedings of the Tenth International … , 2000
    2000
  • Chemical bath deposition of thin copper film for metallization on silicon
    S Dhingra, R Sharma, MS Yadav, PJ George
    Proceedings of the DAE Solid State Physics Symposium, 217-218 , 1999
    1999
    Citations: 1
  • Response of mustard cv. Varuna to different irrigation schedules.
    B Lal, N Chandra, MS Yadav
    1989
    Citations: 8
  • Combining ability analysis over environments in spring wheat.
    MS Yadav, I Singh
    1988
    Citations: 20
  • Response of waterlogged maize to planting methods and time of nitrogen application.
    B Lal, N Chandra, MS Yadav
    1988
    Citations: 17
  • Hairy cell leukaemia.
    SN Chugh, K Rajapal, U Singh, KC Malhotra, MS Yadav
    J Indian Med Assoc , 1985
    1985
  • Cell-mediated immunity in diabetes mellitus by phytohaemagglutinin transformation and sheep erythrocyte rosette test.
    H Mohan, MS Yadav, U Singh, RL Ichhpujani
    Indian Journal of Pathology & Microbiology 26 (3), 185-191 , 1983
    1983
  • Screening of germplasm collection of range legumes.
    UP Singh, MS Yadav
    1977

MOST CITED SCHOLAR PUBLICATIONS

  • Combining ability analysis over environments in spring wheat.
    MS Yadav, I Singh
    1988
    Citations: 20
  • Deep Learning-Enabled Decision Support Systems For Strategic Business Management
    RT Gadhave, SK Dhingra, MB Abhishek, MK Thota, PK Sholapurapu, ...
    International Journal of Environmental Sciences 11 (7), 2025 , 2025
    2025
    Citations: 19
  • Response of waterlogged maize to planting methods and time of nitrogen application.
    B Lal, N Chandra, MS Yadav
    1988
    Citations: 17
  • Image processing based disease detection for sugarcane leaves
    A Khan, MS Yadav, S Ahmad
    International Journal of Advance Research, Ideas and Innovations in … , 2017
    2017
    Citations: 13
  • Novel approach for sol–gel synthesis of nanosize aluminium titanate
    M Sharma, DK Singh, RK Upadhyay, MS Yadav, SS Amritphale, ...
    Materials Research Innovations 18 (3), 235-240 , 2014
    2014
    Citations: 13
  • Response of mustard cv. Varuna to different irrigation schedules.
    B Lal, N Chandra, MS Yadav
    1989
    Citations: 8
  • Advance 1d sensor network opportunistic routing for lifetime enhancement by adaptive duty cycling
    U Singh, S Anmad, MS Yadav
    2018 International Conference on Computational and Characterization … , 2018
    2018
    Citations: 5
  • Integrated Weed Management in Transplanted Fingermillet
    C Yadav, S Ahmad, MS Yadav
    Journal of Research-Birsa Agricultural University 17 (2), 253 , 2005
    2005
    Citations: 4
  • Anomaly Detection in Wireless Sensor Networks—Critical Survey
    S Yadav, S Ahamad
    Second International Conference on Advancement in Computer Engineering and … , 2018
    2018
    Citations: 3
  • Impact of dose and energy of argon (40Ar+) and fluorine (19F+) ion implantation on uniformity of silicon oxidation
    R Kumar, MS Yadav, K Kishore, K Sambhawam, S Goyal, DN Singh, ...
    Vacuum 81 (3), 260-264 , 2006
    2006
    Citations: 2
  • Outlier detection in WSN by entropy based machine learning approach
    MS Yadav, S Ahamad
    Indonesian Journal of Electrical Engineering and Computer Science 20 (3 … , 2020
    2020
    Citations: 1
  • Assessing long-term changes in spatial extent of sodic areas in Gangetic plains of north India
    RS Verma, A Mathur, L Sharma, AK Singh, MS Yadav, B Lal
    Journal of Soil Salinity and Water Quality 11 (2), 145-151 , 2019
    2019
    Citations: 1
  • Chemical bath deposition of thin copper film for metallization on silicon
    S Dhingra, R Sharma, MS Yadav, PJ George
    Proceedings of the DAE Solid State Physics Symposium, 217-218 , 1999
    1999
    Citations: 1
  • The Ethical Considerations in the Development and Use of Robotics
    DRMS YADAV
    IRE Journals 6 (11), 210-219 , 2023
    2023
  • Notification of crop varieties and registration of germplasm
    LD Sharma, Y Singh, R Sharma, LD Sharma, Y Singh, R Sharma, ...
    INDIAN JOURNAL OF GENETICS AND PLANT BREEDING 73 (2), 228-231 , 2013
    2013
  • Integrated weed management in transplanted fingermillet.
    CY Chandrashekhar Yadav, S Ahmad, MS Yadav
    2005
  • Deposition using RF Magnetron Sputtering
    M Kumar, S Ahmad, PJ George¹, MS Yadav¹
    Physics of Semiconductor Devices: Proceedings of the Tenth International … , 2000
    2000
  • Hairy cell leukaemia.
    SN Chugh, K Rajapal, U Singh, KC Malhotra, MS Yadav
    J Indian Med Assoc , 1985
    1985
  • Cell-mediated immunity in diabetes mellitus by phytohaemagglutinin transformation and sheep erythrocyte rosette test.
    H Mohan, MS Yadav, U Singh, RL Ichhpujani
    Indian Journal of Pathology & Microbiology 26 (3), 185-191 , 1983
    1983
  • Screening of germplasm collection of range legumes.
    UP Singh, MS Yadav
    1977