Ph.D.: “Knowledge discovery using fuzzy associative subspace Ensemble classification for workforce leadership prediction”, Bharathiar University-TN, 2019
M.Tech.: M.S. University-Tirunelveli, TN, 2005

Academic Experience: 17 years

AICTE ID: 1-9312673398
JNTUH ID: 9902-191108-174907

Field of Specialization: Machine Learning, Deep Learning, Data Analytics.

Awards

• Appointed as ACM DISTINGUISHED SPEAKER for the computing community by the Association of Computing Machinery for a period of three years (Dec2019-Dec2022).
• BEST FACULTY AWARD-2024, BVRIT HYDERABAD College of Engineering for Women, Hyderabad.
• OUTSTANDING RESEARCHER AWARD-2022 & 2023 from BVRIT HYDERABAD College of Engineering for Women.
• Sarvepalli Radhakrishnan BEST TEACHER AWARD – 2023, Society for Learning Technologies.
• Edited book stood in “5 Must have for Energy Maestros” by Exceed College, United Arab Emirates, September,2023.

Sponsored R&D Funded Projects

1. Project Team member –CURIE 2024
2. SPOC & Trainer for AI DATA QUALITY ANALYST Under PMKVY 4.0 – Grant of 1.1 Lakh

International / National Journals

1. Kayal Padmanandam, An Intelligent Emotion Prediction System using Improved Sand Cat Optimization Technique based on EEG signals in the “Scientific Reports”(SCIE,Q1),2025,doi.org/10.1038/s41598-025-89904-2.
2. Kayal Padmanandam, Predicting Time to Treatment for Metastatic Triple Negative Breast Cancer Using Automated Machine Learning(Scopus,Q3), Accepted, 2025.
3. Subetha T, Kayal Padmanandam,et al., Applied Behavioural Analysis Therapy for AutismSpectrum Disorder Students through Virtual Reality” in the International Journal of Computational Vision and Robotics, DOI-10.1504/IJCVR.2022.10051122– (Scopus, Q2),2024
4. Kayal Padmanandam, et al., Customized Named Entity Recognition using Bert for the Social Learning Management System Platform Course Networking, Journal of Computer Science, (Scopus, Q3), doi.org/3844/jcssp.2024.88.95
5. Kayal Padmanandam, Nikitha Pitla, Yeshasvi, “Named Entity Recognition for medical data extraction using Biobert”, doi: 10.24874/PES.SI.24.03.012(Scopus,Q3)
6. Kayal Padmanandam, Yeshasvi, Nikitha Pitla, “Text Description to Image Generation Using Generative Adversarial Network”, Proceedings of Engineering Sciences, First Online doi:  10.24874/PES.SI.25.03B.015(Scopus,Q3) /10.4018/IJORIS.306194 ,2022(Scopus,Q3)
7. Murali K, Kayal Padmanandam, Sunil Tambvekar, Keshav Kumar K., Bilal Abdualgalil, and R.N.Thakur. “Artificial Intelligence-Based Breast Cancer Detection Using WPSO,” International Journal of Operations Research and Information Systems (IJORIS) 13, no.2: 1-16.doi.org/10.4018/IJORIS.306195, 2022, (Scopus,Q3)
8. Subetha, Rashmita Khilar, Kayal Padmanandam, A Report on Early Prediction, Detection & Diagnosis of Alzheimer’s Disease, in the Journal of Statistics and Management Systems .Vol. 26 No. 1, pp.213–223, 10.47974/JSMS-960, 2023, (ESCI).
9. Kayal Padmanandam, and Rajesh M. V., Ajay N. Upadhyaya, K, Ramesh Chandra,Chandrashekar B, and Swati Sah. “Artificial Intelligence Biosensing System on HandGesture Recognition for the Hearing Impaired,” International Journal of Operations Research and Information Systems (IJORIS)13, no.2:1-13.doi.org/10.4018/IJORIS.306194 , 2022(Scopus,Q3)
10. KayalPadmanandam,Subetha,RashmitaKhilar,Reviewofimpactfuldisruptiveinnovations during pre and post-pandemic era, International Journal for Innovative Engineering and Management Research, Vol 12 Issue 09, Sept 2023, ISSN 2456 – 5083 (Elsevier, SSRN), 48047/IJIEMR/V12/ISSUE 09/11
11. Kayal, “Data Mining For Humanity: An Overview” IPASJ International Journal of Information Technology (IIJIT), Volume 6, Issue 10, October 2018.
12. P.KayalandDr.S.Kannan,“ImprovedEnsembleSubspaceClassifierWithHigherPrecedence Active Sampling on Class Association Rules” in International Journal ofComputerScience(IIJCS),Volume 6,Issue 4,March2018.
13. P.Kayal and Dr.S.Kannan, “An Ensemble Classifier Adopting Random Subspace Method Based on Fuzzy Partial Mining” in Indian Journal of Science and Technology 10(12), March 2017(ISI, WoS), 10.17485/ijst/2017/v10i12/104975
14. P.Kayal and Dr.S.Kannan, “Improved Fuzzy Ensemble Classifier Using Tree Baggingon weighted utility mining”, International Journal of Pure and Applied Mathematics, Volume119, No.16,2018,2319-2323, https://acadpubl.eu/hub/2018-119-16/2/240.pdf
15. Kayal and Dr.S. Kannan, “A Partial Weighted Utility Measure for Fuzzy AssociationRuleMining” in Indian Journal of Science and Technology, Vol 9(10), March 2016.(Scopus, Elsevier, WoS), 10.17485/ijst/2016/v9i10/84989.
16. Kayal and Dr.S. Kannan, “Building Fuzzy Associative Classifier Using Fuzzy Values”
17. P.Kayal and Dr.S.Kannan, “Efficient Association Rule Mining using Fuzzy weight on Fuzzy values” in International Journal of Scientific and Research Publications, Vol 3, Issue 10, Oct 2013,ISSN:2250-3153.

 International Conferences

1. Kayal Padmanandam, Talari Akhila, Aesuri Divya Sri, Kalekere Sunidhi, Bolle Amulya, “Athletic Runner Injury Prediction System, 2024 International Conference on Data Science and Network Security (ICDSNS)(Best Paper Award)(Scopus)
2. Kayal Padmanandam, Uppala Shivani, Tanneru Pooja, Palem Girija, Gone Vaishnavi, “Spoken Language Identification and Translation using Deep Learning”, ICECA-2023 (Scopus).
3. Kayal Padmanandam, Jilla Nikhitha, Parvathaneni Pooja Sri, Gottipati Pavithra, Chunduru Sai Meghana, “ML Powered Text Auto-Completion and Generation”, ICECA-2023(Scopus)
4. KayalPadmanandam, AlekhyaYadav, Aishwarya, Harshitha N, “Hand written Mathematical Symbol Recognition using Neural Network Architectures”, International conference of Electronics, Communication and Aerospace Technology (ICECA,2022)(Scopus,WoS)
5. Kayal Padmanandam, K.N.S. Ramya, Ushasree Tella, N. Harshitha, Sahaay-A WebInterface to Improve Societal Impact in the Springer International Conference on Communications and Cyber-Physical Engineering-ICCCE-2022, Hyderabad(Scopus).
6. Nikitha Pitla, Kayal Padmanandam “Evaluation of Crop Yield Prediction using arsenaland Ensemble Machine learning Algorithms” in the Springer International Conference on Metaheuristics in Software Engineering and its applications (METASOFT 2022), Bhuvaneshwar (Scopus).
7. Mogula Yeshasvi, Kayal P, Subetha T, “A Survey on Text Description to Image Generation using GAN” in the Springer International Conference on Soft Computing for Security Applications-ICSCS April 2022.(WoS)
8. Kayal Padmanandam, Sai Priya V D S Bheri, Laxmi Harshika Vegesna, Kalakuntla Sruthi, “A Speech Recognized Dynamic Word Cloud Visualization for Text Summarization”, International Conference on Inventive Computation Technologies [ICICT2021] (Scopus).
9. P. Kayal, L. Lakshmi, “Practice of Applied Edge Analytics in Intelligent Learning Framework”, International Arab Conference on Information Technology 2020, Egypt(Scopus,WoS).
10. P. Kayal and Dr.S. Kannan, “Knowledge Discovery Using Fuzzy Associative Subspace Ensemble Classification”, IEEE International Conference in Machine Learning and Data Science (ICMLDS2018)-December2018, Hyderabad.

Patents

1. Multimodal Deepfake Detection for Enhanced Cross Modal Consistency and Synchronization, Appliation Number -202541034159
2. Dynamic Pothole prediction system, Application No-202441073462,2024.
3. Artificial Intelligence Based Autism Spectrum Disorder (ASD) Management System and Method Thereof, Application No-202241059063, 2022.
4. Method and system for implementing power grid control operations using big data-based artificial intelligence (AI) techniques-202141054474, 2021(Published).
5. Smart traffic control for emergency vehicles using the Internet of things and image processing Application No-2020103907(Australian patent)-2021.
6. Virtual reality head-mounted display device with inbuilt hand tracking technology- Application No-202141011513, 2021. (published).
7. Fire Fighting Robot, Application Number – 202341069267, 2023(Published)
8. System, Apparatus, And Method for Assessment of Suitability of Land For Horticultural Plants, Application Number– 202341071569(Published),2023.

Patents Granted

1. Smart classroom virtual reality head-mounted display device for visual-spatial Learners, Application Number-202041052429,2020. (published). – Grant No- 565557

Books Published

1. Editor of Smart Energy and Electric Power System: Current Trends and New Intelligent Perspectives, ELSEVIER Publications. (Scopus) https://www.sciencedirect.com/book/9780323916646/smart-energy-and-electric-power-systems#book-description

Book Chapter Published

1. Kayal Padmanandam, Subetha T, Rashmita Khilar “SMART POWER SYSTEMS AN EYEVIEW” in the book Smart Energy and Electric Power System: Current Trends and New Intelligent Perspectives”-ELSEVIER. (Scopus) doi.org/10.1016/C2021-0-00466- 1
2. Kayal Padmanandam, “An investigation of different machine learning approaches for healthcare analytics” in the Book “Exploratory Data Analytics for Healthcare’- CRC PRESS – TAYLOR & FRANCIS,2021(Scopus). doi.org/10.1201/9781003050827
3. Kayal Padmanandam, “IoT and Big Data using Intelligence” in the Book “Securing IoT and Big Data: Next Generation Intelligence”- CRC PRESS – TAYLOR & FRANCIS, 2020(Scopus). doi.org/10.1201/9781003009092

Board Member / Reviewer / Editor

1. Elsevier Reviewer from 2021
2. Reviewer – International Journal of Artificial Intelligence and Expert Systems (IJAE)
3. Reviewer – Advances in Science, Technology and Engineering Systems Journal (ASTESJ).
4. Reviewer – Expert System

Invited Talks

1. ACM Distinguished Speaker Program Lectures
2. Delivered a talk on Data Science Using R programming at VVIT, Guntur on 29th February 2020.
3. Delivered a webinar on Machine Learning Taxonomy for Christ Deemed University, Bengaluru on 29th May 2020.
4. Delivered a webinar on Machine Learning Taxonomy for Kalasalingam Deemed University, TamilNadu, India on 25 July 2020.
5. Delivered a webinar on Research Ethics using Reference Management system for Sri Meenakshi Government Arts College Madurai, Tamil Nadu, India on 30 July 2020.

KEYNOTE SPEECH

1. Invited as Resource Person for the Faculty Development Program on “AI and ML Tools in Financial Services”, conducted by Symbiosis International (Deemed University), Pune during May 2025.
2. Served as a Panel Speaker at the Indian International Conference on Industrial Engineering and Operations Management (IEOM), hosted by Jawaharlal Nehru Technological University Hyderabad.
3. Invited as a Speaker for the One Day Workshop on Supervised and Unsupervised techniques for Predictive Learning, organized by Saveetha University, Chennai on 29, December 2023.
4. Invited as Keynote speaker in the ACM Digital Futures Forum conference organized by Stanley Engineering College, Hyderabad on 15 December 2023.
5. Invited as a Speaker in the National Level Workshop on “Data Analytics Real-world Use cases”, organized by Fatima College, Madurai, India on 4 December 2023.
6. Invited as Speaker in the International program “Women in Data Science (WIDS)incubated at Stanford University, held at Indian School of Business (ISB), Hyderabad on June 3, 2023.
7. Invited as a Speaker in the International Seminar on Digital Progression organized by Fatima College, Madurai, India on 16 March, 2023.
8. Delivered Expert Lecture in the Online Refresher Course-EDUCATION 4.0: TECHNOLOGICAL REVOLUTION WITH ARTIFICIAL INTELLIGENCE, SMART SYSTEM, ROBOTICS AND BIG DATA ANALYTICS organized by the Department of Computer Science and Human Resource Development, Centre (HRDC) of Madurai Kamaraj University, Madurai, TN during 0211-2022- 15-11-2022.
9. Invited as Keynote Speaker in the Five-Day National Faculty Development Programme on Data Analytics during 28 March-1April 2022, organized by St. Mary’s College, Hyderabad, India
10. Delivered Expert Lecture in the One Week Online Workshop on “Artificial Intelligence in Vision and IoT (AIVI 2021)”, organized by Department of Computer Science & Engineering, Motilal Nehru National Institute of Technology Allahabad during 16th April-20th April 2021.
11. Delivered keynote speech in the Webinar organized by DS&AI Research Group, Galgotias University, New Delhi, on the topic “Data Science Foundation Using R programming” on February13, 2021.
12. Delivered a talk in the International Event LetusTalkIt Webinar Powered by Cogent IBS, a US- based Integrated Business Solutions, on the topic “Intelligent Data Convergence” on Nov 18, 2020.
13. Delivered keynote speech in the Webinar “Real World Problems and solutions” conducted by Vidyavardhaka College of Engineering, Affiliated to VTU, Mysuru, Karnataka, India on 05 September2020.
14. Delivered keynote speech on “Convergence of Data Intelligence”, in the International Webinar “Recent Trends in Data Science” conducted by Sri Meenakshi Government Arts college Madurai, Tamil Nadu, India on 20 August 2020.

INVITED LECTURES & TRAININGS CONDUCTED

1. Invited as a Guest of Honor and Resource person for the National level workshop on “Predictive Modelling” conducted by Fatima College, Madurai, TN, during Nov 2024.
2. Conducted series of certified courses in Machine Learning Hands-on using Python in collaboration with NexGentics, IT partner, Calcutta, India.
3. Conducted a Research Workshop for the researchers of St. Mary’s College on the topic “Reference Management System” on October 24th 2019.
4. Invited as a Guest Speaker to give a talk on “Disruptive Innovations- An Interaction with Generation Z” for the MCA students of Fatima College, Madurai, Tamil Nadu.
5. Invited as a Guest Speaker to conduct a Learning program in “R for Data Science” for the faculty members and postgraduate students of St. Francis College, Hyderabad.
6. Conducted (as a Resource Person) a 30-day Certificate Programme on “R for Data Analytics” for fellow faculties and students of St. Mary’s College, Yousufguda.
7. Conducted (as Resource Person) a Two-day Workshop on MATLAB for Research for fellow faculties of St.Mary’s College.
8. Conducted a Two-day Quadrotor (Building Drones) Workshop for the students of St. Mary’s College in association with SKYFI labs, Bangalore.

FDP’s Conducted

1. Organised a one-week AICTE Recognised Faculty Development Programme on “AI Cloud-based Tools for Research”, conducted by the Curriculum Development Centre Department, NITTTR and BVRITH, duringMar2025
2. Organised a Five-day FDP on “Power of Visualization” during Aug 2023
3. Organizing Team Member, INDIA Conference 2022, and  BVRITHCON 2023
4. Organised a Five-Day Hands-on training program on Hadoop Big Data during Jun 2021.

FDP’s Attended

1. AICTE Recognized Faculty Development Programme on “Developing Healthy Work Culture at Work Place”, Conducted by Curriculum Development Centre, Department NITTTR, and BVRIT during Dec 2024.
2. “Innovation Ambassador Certification” by MoE & AICTE, July 2024
3. International Workshop on “Research Article Writing and Research Funding” by Knowledge Research Academy, Coimbatore, Nov 2023
4. 5 Days Global E-FDP on “Unleashing Research Potential: Global Trends and Practices” Organised by the Office of International Relations, Galgotias University, Greater Noida, Uttar Pradesh, held during March 2022
5. Five-Day Online National Workshop on “Creation and Management of Digital Library using Open-Source Software” organised by Information and Library Network (INFLIBNET) Centre, Gandhinagar, Gujarat, October 2020.
6. One Week Faculty Development Program on “Machine Learning Fundamentals” organized by BVRIT HYDERABAD College of Engineering for Women in association with Institutions Innovation Council, Aug 2021
7. One Week AICTE online Faculty Development Program on “Artificial Intelligence”, organized by Department of Electrical Engineering, BANSAL INSTITUTE OF ENGINEERING AND TECHNOLOGY Lucknow (U.P.) India, July 2021
8. Rural Entrepreneurship Development (RED) Action Plan, September 2020, by Mahatma Gandhi National Council of Rural Education, Hyderabad
9. 3-day bootcamp conducted by Clever Insight, in collaboration with LetSign Digital on Foundations of Data Science, EDA, Model Building & Deployment, July2020

Certifications

1. Completed “TimeSeries Analysis in Python” offered by Udemy,2023.
2. Completed “NLP with Python” offered by Udemy,2023.
3. Completed 5-day Machine learning program conducted by NexGenetics, Kolkata.
4. Completed 3-day Data Science, bootcamp conducted by Clever Insight, Bengaluru.
5. Completed DL0120EN: Deep Learning with TensorFlow, a course of study offered by IBM, online learning, edX.