RANGANATH KANAKAM

@sritw.org

Asst.Professor and Computer Science & Engineering
SUMATHI REDDY INSTITUTE OF TECHNOLOGY FOR WOMEN

RANGANATH KANAKAM


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https://researchid.co/ranganath23

EDUCATION

M.Tech (Software Engineering )
PhD (pursuing) at JNTU Hyderabad

RESEARCH INTERESTS

Data Mining, sarcasm detection

FUTURE PROJECTS

sarcasm detection


Applications Invited
16

Scopus Publications

211

Scholar Citations

8

Scholar h-index

8

Scholar i10-index

Scopus Publications

  • LLMs and Human- AI Collaboration in Healthcare and Research
    Elijah Francis, P Praven, M Venunath, V. Subhashini, Ranganath Kanakam, Pothula Sujatha
    Innovations and Ethical Dimensions of Large Language Models, 2026
    The rapid evolution of Large Language Models (LLMs) such as GPT-4, Med-PaLM, and BioGPT is reshaping healthcare by transforming how clinical knowledge is generated and applied. This chapter offers an evidence-based analysis of LLMs through technical, ethical, and theoretical lenses, drawing on STS, TAM, and CDST to explain how human–AI collaboration influences clinical practice and governance. It reviews advancements in LLM architectures, multimodal capabilities, and applications in diagnosis, documentation, and biomedical research. Key risks including bias, hallucination, interpretability gaps, and data insecurity are examined within global regulatory frameworks such as the FDA, EU AI Act, and WHO guidelines. The chapter concludes with a Responsible Innovation Framework for Healthcare LLMs (RIF-H), emphasizing anticipation, reflexivity, inclusion, responsiveness, and sustainability. It argues that the future of healthcare AI lies in augmentation, where intelligent systems enhance human expertise, equity, and empathy.
  • Multimodal Methods for Improving Natural Language Processing in Low-Resource Languages:Survey
    Ranganath Kanakam, M.Venunath, Mamidala Sruthi, Vedika Jorika
    Icrteect 2025 2nd International Conference on Recent Trends in Electrical Electronics and Computing Technologies, 2025
    Low Resource Languages are the languages that few people speak and the low-density languages in the world. Usually, more people speak languages such as English, Chinese, Hindi, French, Spanish, etc. Researchers are more comfortable with the above languages. because these languages have annotated data or dataset available online for applying technologies like Voice assistance, Text summarization, Google translation, Auto correction, etc. Data availability provides good training and testing of the model. Most of the NLP applications are developed with high-resource languages only. Despite the advancement of the digital era, few languages have low density. One of the challenges of implementing NLP applications for low-resource languages are not having data, even if parsing tools are not available. This paper addressed a survey on improving NLP in low-resource languages, applications, and challenges.
  • Transforming Urban Mobility with Integration of Blockchain and Machine Learning
    Khaja Mannanuddin, Yerram Sneha, Munthu Raju, Velugori Sathish, Ranganath Kanakam
    2025 IEEE International Conference on Advances in Computing Research on Science Engineering and Technology Acroset 2025, 2025
    Call-In Cab is the most sought-after means of transportation used the commuters in the metropolitan cities of India. Call-In Cab services is generated through an application in on-line mode that helps the commuters and cab drivers to communicate with ease. At times, there is possibility of ride rejection either by the cab driver or commuter depending upon the distance from source location of cab driver to destination which is the origin place of commuter to start travelling. So, the decision of cab driver need to be taken into consideration for the ride request received. The most important aspect in the proposed model is the storage of transaction keeping in view the well-being of the commuter as well the cab-drivers. In our article, we have consider the distance of journey by calculating the length between the starting and ending point of planned trip. These journeys are captured through a google map or Waaze maps and the extracted information data is preserved in blockchain framework and utilized in hyper ledger fabric platform as well analysed by a decision tree and XGBoost model algorithms. The outcomes of this article depicts the characteristics of socio-economic system that brings forth a fruitful utility that minimize the distance, time and raises the level of commuters’ well-being even during the late night hours.
  • Career Prediction Using Machine Learning and an Automated Job Application Tracker
    MamidalaSruthi, Srinivas Reddy Goli, Ranganath Kanakam, Dommati Shravani, Sunil Goli, Pranathi Vatte
    Icrteect 2025 2nd International Conference on Recent Trends in Electrical Electronics and Computing Technologies, 2025
    For students, finding the appropriate professional route can be difficult because it has a big impact in shaping their future and offers opportunities for growth. However, students often lack the experience to make this decision on their own, which can lead to difficulties later in life. With the overwhelming amount of information available online, many students base their career choices on the opinions of family and friends, which may not align with their true interests and skills.Our research intends to create a recommendation engine that collects student data, such as their academic achievement, hobbies, and skills, in order to offer tailored job domain recommendations.This system helps guide students in making informed decisions by offering tailored recommendations that better match their individual strengths. We describe why job application tracking systems should be leveraged with job IDs to track progress throughout the application process. Highlights the multiple challenges faced by a job seeker in handling multiple applications and proposed a structured approach to track job applications in an efficient manner.
  • Efficiency of logical data modeling using document-oriented database
    Deepan Subramanian, Kothandaraman Dhandapani, Katepogu Surendra, Ranganath Kanakam
    Aip Conference Proceedings, 2024
  • Emotion Recognition Based on Streaming Real-Time Video with Deep Learning Approach
    M. Sheshikala, Sallauddin Mohmmad, D. Kothandaraman, Dadi Ramesh, Ranganath Kanakam
    Lecture Notes in Networks and Systems, 2023
  • Investigation and comparison of nickel addition on aluminium alloy 7175
    L. Radha Krishna, A. Rajesh, Dheeraj Joshi, D. Raghava Kumari, Ranganath Kanakam
    Aip Conference Proceedings, 2022
  • A survey on approaches and issues for detecting sarcasm on social media tweets
    Ranganath Kanakam, Sallauddin Mohmmad, E. Sudarshan, Shabana, M. Gopal
    Aip Conference Proceedings, 2022
  • Content and history based movie recommendation system
    Sallauddin Mohmmad, Ranganath Kanakam, Ramesh Dadi, Shabana, Syed Nawaz Pasha
    Aip Conference Proceedings, 2022
  • Stock price prediction using multiple linear regression and support vector machine (regression)
    Ranganath Kanakam, Dadi Ramesh, Sallauddin Mohmmad, Shabana, T. Chandra Prakash
    Aip Conference Proceedings, 2022
  • Tracking and security system for school van
    N. Swathi, Ch. Padmaja, Y. Sharvani, Ranganath Kanakam, P. Ramchandar Rao
    Aip Conference Proceedings, 2022
  • Cost function for energy(CFE) in Fog based IoT networks
    Sallauddin Mohmmad, Ramesh Dadi, Syed Nawaz Pasha, D. Kothandaraman, Shabana, Ranganath Kanakam
    Aip Conference Proceedings, 2022
  • Sarcasm Detection on Social Networks using Machine Learning Algorithms: A Systematic Review
    Ranganath Kanakam, Rudra Kalyan Nayak
    Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021
  • Face detection authentication analysis on smartphones
    G Jhansi Rani, G Shanmukhi Rama, K Ranganath, Tarun Kumar Juluri, Ch Vinay Kumar Reddy
    Iop Conference Series Materials Science and Engineering, 2020
  • Retraction:RNN based prediction of spatiotemporal data mining
    Mohammed Ali Shaik, Dhanraj Verma, P Praveen, K Ranganath, Bonthala Prabhanjan Yadav
    Iop Conference Series Materials Science and Engineering, 2020
  • Average Response Time (ART):Real-Time Traffic Management in VFC Enabled Smart Cities
    Shabana, Sallauddin Mohmmad, Mohammed Ali Shaik, K Mahender, Ranganath Kanakam, Bonthala Prabhanjan Yadav
    Iop Conference Series Materials Science and Engineering, 2020

RECENT SCHOLAR PUBLICATIONS

  • Career Prediction Using Machine Learning and an Automated Job Application Tracker
    PV MamidalaSruthi,Srinivas Reddy Goli,Ranganath Kanakam, Dommati Shravani ...
    2025 2nd International Conference on Recent Trends in Electrical … , 2026
    2026
  • Multimodal Methods for Improving Natural Language Processing in Low-Resource Languages:Survey
    VJ Ranganath Kanakam,M.Venunath,Mamidala Sruthi
    2025 2nd International Conference on Recent Trends in Electrical … , 2026
    2026
  • LLMs and Human- AI Collaboration in Healthcare and Research
    PS Elijah Francis,V. Subhashini,P Praven,Ranganath Kanakam,M Venunath
    Innovations and Ethical Dimensions of Large Language Models, 544 , 2026
    2026
  • Computational Intelligence: A Nature-Inspired Perspective
    DMV Ranganath Kanakam,Dr B. Kranthi Kiran,Dr Manchikatla Srikanth
    2025
  • Transforming Urban Mobility with Integration of Blockchain and Machine Learning
    K Mannanuddin, Y Sneha, M Raju, V Sathish, R Kanakam
    2025 IEEE International Conference on Advances in Computing Research On … , 2025
    2025
  • An introductory Approach to Artificial Intelligence
    BKK Ranganath Kanakam
    2024
  • Efficiency of logical data modeling using document-oriented database
    D Subramanian, K Dhandapani, K Surendra, R Kanakam
    AIP Conference Proceedings 2971 (1), 020070 , 2024
    2024
  • ANALYSIS ON USAGE OF SARCASM INCREASING DAY BY DAY
    KKB Kanakam R
    International Journal For Innovative Engineering and Management Research 13 … , 2024
    2024
  • Analysis on Text for Sarcasm Detection Using Machine Learning_ Survey
    BKK Ranganath Kanakam
    European Economic Letters 14 (2), 2708 - 2719 , 2024
    2024
  • Computer Communication, Networking and IoT
    M Sheshikala, M Sallauddin, D Kothandaraman, R Dadi, K Ranganath
    Springer, Singapore , 2023
    2023
    Citations: 4
  • Emotion Recognition Based on Streaming Real-Time Video with Deep Learning Approach
    M Sheshikala, S Mohmmad, D Kothandaraman, D Ramesh, R Kanakam
    Computer Communication, Networking and IoT: Proceedings of 5th ICICC 2021 … , 2022
    2022
    Citations: 12
  • Tracking and security system for school van
    N Swathi, C Padmaja, Y Sharvani, R Kanakam, PR Rao
    AIP Conference Proceedings 2418 (1), 030019 , 2022
    2022
    Citations: 2
  • Cost function for energy (CFE) in Fog based IoT networks
    S Mohmmad, R Dadi, SN Pasha, D Kothandaraman, Shabana, ...
    AIP Conference Proceedings 2418 (1), 020066 , 2022
    2022
    Citations: 13
  • A survey on approaches and issues for detecting sarcasm on social media tweets
    R Kanakam, S Mohmmad, E Sudarshan, Shabana, M Gopal
    AIP Conference Proceedings 2418 (1), 020045 , 2022
    2022
    Citations: 5
  • Investigation and comparison of nickel addition on aluminium alloy 7175
    L Radha Krishna, A Rajesh, D Joshi, DR Kumari, R Kanakam
    AIP Conference Proceedings 2418 (1), 050003 , 2022
    2022
    Citations: 1
  • Stock price prediction using multiple linear regression and support vector machine (regression)
    R Kanakam, D Ramesh, S Mohmmad, Shabana, TC Prakash
    AIP Conference Proceedings 2418 (1), 020046 , 2022
    2022
    Citations: 10
  • " Content and history based movie recommendation system."
    S Mohmmad, R Kanakam, R Dadi
    AIP Conference Proceedings 2418 (1), 020077 , 2022
    2022
    Citations: 8
  • Sarcasm detection on social networks using machine learning algorithms: a systematic review
    R Kanakam, RK Nayak
    2021 5th International Conference on Trends in Electronics and Informatics … , 2021
    2021
    Citations: 15
  • Average Response Time (ART): Real-Time Traffic Management in VFC Enabled Smart Cities
    Shabana, S Mohmmad, MA Shaik, K Mahender, R Kanakam, BP Yadav
    IOP Conference Series: Materials Science and Engineering 981 (2), 022054 , 2020
    2020
    Citations: 65
  • Face detection authentication analysis on smartphones
    CVKR G Jhansi Rani,G Shanmukhi Rama,K Ranganath,Tarun Kumar Juluri
    IOP Conference Series: Materials Science and Engineering, 981 (3) , 2020
    2020

MOST CITED SCHOLAR PUBLICATIONS

  • Average Response Time (ART): Real-Time Traffic Management in VFC Enabled Smart Cities
    Shabana, S Mohmmad, MA Shaik, K Mahender, R Kanakam, BP Yadav
    IOP Conference Series: Materials Science and Engineering 981 (2), 022054 , 2020
    2020.0
    Citations: 65
  • RNN based prediction of spatiotemporal data mining
    MA Shaik, PP DhanrajVerma, K Ranganath
    Mater. Sci. Eng 981, 022027 , 2020
    2020.0
    Citations: 37
  • Sarcasm detection on social networks using machine learning algorithms: a systematic review
    R Kanakam, RK Nayak
    2021 5th International Conference on Trends in Electronics and Informatics … , 2021
    2021.0
    Citations: 15
  • A SURVEY ON NEW APPROACHES OF INTERNET OF THINGS DATA MINING.
    S Mohmmad, G Sunil, R Kanakam
    International Journal of Advanced Research in Computer Science 8 (8) , 2017
    2017.0
    Citations: 14
  • Cost function for energy (CFE) in Fog based IoT networks
    S Mohmmad, R Dadi, SN Pasha, D Kothandaraman, Shabana, ...
    AIP Conference Proceedings 2418 (1), 020066 , 2022
    2022.0
    Citations: 13
  • Emotion Recognition Based on Streaming Real-Time Video with Deep Learning Approach
    M Sheshikala, S Mohmmad, D Kothandaraman, D Ramesh, R Kanakam
    Computer Communication, Networking and IoT: Proceedings of 5th ICICC 2021 … , 2022
    2022.0
    Citations: 12
  • Provisioning Elasticity On IoT's Data In Shared-Nothing Nodes
    S Mohmmad, RK Shabana
    International Journal of Pure and Applied Mathematics 117 (7), 165-173 , 2017
    2017.0
    Citations: 12
  • Stock price prediction using multiple linear regression and support vector machine (regression)
    R Kanakam, D Ramesh, S Mohmmad, Shabana, TC Prakash
    AIP Conference Proceedings 2418 (1), 020046 , 2022
    2022.0
    Citations: 10
  • " Content and history based movie recommendation system."
    S Mohmmad, R Kanakam, R Dadi
    AIP Conference Proceedings 2418 (1), 020077 , 2022
    2022.0
    Citations: 8
  • BonthalaPrabhanjanYadav,(2020), RNN based prediction of spatiotemporal data mining, 2020 IOP Conf. Ser
    MA Shaik, PP DhanrajVerma, K Ranganath
    Mater. Sci. Eng 981, 022027 , 0
    Citations: 6
  • A survey on approaches and issues for detecting sarcasm on social media tweets
    R Kanakam, S Mohmmad, E Sudarshan, Shabana, M Gopal
    AIP Conference Proceedings 2418 (1), 020045 , 2022
    2022.0
    Citations: 5
  • Computer Communication, Networking and IoT
    M Sheshikala, M Sallauddin, D Kothandaraman, R Dadi, K Ranganath
    Springer, Singapore , 2023
    2023.0
    Citations: 4
  • Recent Trends In Sarcasm Detection on Online Social Networks
    S K.Ranganath 1 , MD.Sallauddin 2
    International Journal of Computer Sciences and Engineering 5 (Issue-10), 5 , 2017
    2017.0
    Citations: 3
  • Tracking and security system for school van
    N Swathi, C Padmaja, Y Sharvani, R Kanakam, PR Rao
    AIP Conference Proceedings 2418 (1), 030019 , 2022
    2022.0
    Citations: 2
  • Self-Stabilizing Leader Election Algorithm in Highly Dynamic Ad-hoc Mobile Networks
    K Ranganath, LN Kumar, YV Sreevani
    Journal of Emerging Trends in Computing and Information Sciences 2 (4) , 2011
    2011.0
    Citations: 2
  • Hotspot Detection by Using GPS & GPRS System
    K Ranganath, M Rajeshwar, NK Laskari, TVN Rao
    Computer Science & Engineering Technology 1 (1), 1-5 , 2011
    2011.0
    Citations: 2
  • Investigation and comparison of nickel addition on aluminium alloy 7175
    L Radha Krishna, A Rajesh, D Joshi, DR Kumari, R Kanakam
    AIP Conference Proceedings 2418 (1), 050003 , 2022
    2022.0
    Citations: 1
  • Career Prediction Using Machine Learning and an Automated Job Application Tracker
    PV MamidalaSruthi,Srinivas Reddy Goli,Ranganath Kanakam, Dommati Shravani ...
    2025 2nd International Conference on Recent Trends in Electrical … , 2026
    2026.0
  • Multimodal Methods for Improving Natural Language Processing in Low-Resource Languages:Survey
    VJ Ranganath Kanakam,M.Venunath,Mamidala Sruthi
    2025 2nd International Conference on Recent Trends in Electrical … , 2026
    2026.0
  • LLMs and Human- AI Collaboration in Healthcare and Research
    PS Elijah Francis,V. Subhashini,P Praven,Ranganath Kanakam,M Venunath
    Innovations and Ethical Dimensions of Large Language Models, 544 , 2026
    2026.0