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Ms. Athira K. P.
Assistant Professor
Areas of Specialization
| Computer Science |
Areas of Interest
| Machine Learning |
| Data mining |
| Artificial intelligence |
- Dr. Seenia Francis
- Dr. Bineesh M.
- Dr. Anoop V.
- Mr. Jayakrishnan A.
- Ms. Divya Konikkara
- Mr. Shine P. Xavier
- Mr. Arjun K. M.
- Ms. Anjali O.
- Ms. Reshma K. G.
- Ms. Nikhitha N.
- Mr. Jithin K. C.
- Ms. Neenu Jose
- Ms. Leeshma O. V.
- Ms. Linet Thomas
- Dr. Sandeep C. S.
- Ms. Linta A. T.
- Dr. Sajitha A. S.
- Dr. C. Karthik
- Dr. Anju Asokan
- Dr. Gayathri V.
- Ms. Sreelakshmi S.
- Reji E. Jacob
- Sreeram Putukuchi
- Dr. Shibudas Kattakkalil Subhashdas
- Ms. Nivya Wilson
- Mr. Sivakumar K. S.
- Ms. Renju Francis
- Fr. Dr. Roy V. I.
- Ms. Jasmin Jose
- Ms. Priya Jose
- Ms. Suganthi T.
- Ms. Viji E. P.
- Mr. Rich K. J.
- Mr. Tony C. J.
- Mr. Nidhin Johnson
- Mr. Bibin Joy
- V S SUBRAMANIAN
- O P KURIAKOSE
- Fr. Sijo Cheruvathur
- Dr. V. M. Xaviour
- Dr. Jenson P. O.
- Dr. Dennymol P. V.
- Dr. Sandhya E.
- Ms. Vidya V. Menon
- Mr. Antony Joseph
- Mr. Shawn Padikkala
- Ms. Bindu K. S.
- Ms. Sandhya P. S.
- Ms. Deepa Johnson
- Dr. Sweety Thomas
- Ms. Jisna K. J.
- Ms. Sneha Benny
- Dr. Flowarin. A. D.
- Sr. Dr. Shan Maria
- Ms. Anju M. J.
- Ms. Neeraja P. G.
- Ms. Jisha Akkara
- Mr. M. G. Cyriac
- Ms. Vini P.
- Ms. Archana S.
- Mr. George C. J.
- Dr. Vincy Verghese
- Ms. Shima Paul
- Dr. Alwyn Varghese
- Ms. Soorya M. Nair
- Ms. Jeffy Johny
- Ms. Anna Joseph
- Mr. Suhas Nair S.
- Sr. Isline Shajan
- Mr. Ignatious T. F.
- Dr. Raji A. K.
- Mr. Alfred George
- Dr. Kiran Prakash K.
- Dr. Shine C. Chinnan
- Mr. Shaiju Paul
- Dr. Swapna B. Sasi
- Ms. Aswathy Wilson
- Dr. Shiny M. I.
- Mr. Aneesh Chandran
- Mr. Aneesh P. B.
- Dr. Sobha Xavier P.
- Mr. Sudheesh C. N.
- Ms. Ninu Francis
- Dr. Jarin T.
- Dr. Sajitha I
- Ms. Lufiya George C.
- Dr. R. Vijayakumar
- Ms. Divya C. R.
- Ms. Jyothsna G. K.
- Ms. Sonia A. Joseph
- Ms. Neeraja James
- Mr. Sudheesh K.
- Ms. Sona Shaju K.
- Ms. Anumol C. S.
- Dr. Valanto Alappat
- Mr. Arun K.
- Mr. Vysagh M.
- Ms. Treesa C. A.
- Ms. Neethu T. V.
- Dr. Shyjith M. B.
- Ms. Aparna Mohan
- Ms. Riya Jacob
- Sr. Dr. Mercy Joseph
- Dr. P. Sojan Lal
- Ms. Athira K. P.
- Ms. Soniya Joseph
- Ms. Mavya V.
- Ms. Athulya Chacko
- Ms. Sruthy K. S.
- Dr. Neethu M.
- Ms. Jyothi P. Joy
- Ms. Leya M. S.
- Ms. Swathy C. S.
- Ms. Linny Sunny
- Ms. Dhanya V. R.
- Ms. Jyothi C.
- Ms. Manju K. Koothoor
- Dr. Aadhinarayanan N. V.
- Dr. P. SURESH
- Robin Tommy
- Dr. Sindhu S.
- Dr. Bindhu K. Rajan
- Mr. Binoj V. J.
- Ms. Ambily Francis
- Ms. Roshni Rajan K.
- Ms. Neethu Rose Thomas
- Ms. Drisya M. K.
- Dr. Jose P. Therattil
- Dr. Saritha P.
- Dr. Prajoon P.
- Fr. David Nettikadan
- Sr. Jesna Catherine
- Mr. Reson T. T.
- Mr. Sarath M. M.
- Ms. Chippi P. D.
- Ms. Smitha T. Shekhar
- Mr. Melvin Joy
- Ms. Abhirami M.
- Dr. P. T. Mathew
- Ms. Soumya C.
- Ms. Anu Sunny
- Mr. Abdul Saleem N. M.
- Mr. Kapil Das K. S.
- Ms. Aswathy Rajan
- Prof. Ratnan P.
- Dr. Jenson Jose
- DAVIS.K.T
- Ms. Saritha N.
- Mr. Akhil A. Balakrishnan
- Dr. Shijoh V.
- Dr. Jithin K. Jose
- Ms. Anu Paul V.
- Dr. Navin Sam D.
- Mr. Santo T. C.
- Ms. Melvi C. V.
- Ms. Priyanka E. S.
- Mr. Pradeep Shankar
- PRADEEP SHANKAR
- Fr. Jinson Jose Mukkadayil
- Mr. Praveen Raj
- Mr. Manoj Kumar V. K.
- Mr. Christy V. Vazhappill
- Mr. Sukesh O. P.
- Mr. Nikhil N. S.
- Mr. Suneeth Sukumaran
- Dr. Nice Menachery
- Mr. Hareesh N. V.
- Mr. Melvinraj C. R.
- Mr. K. T. Velayudhan
- Mr. Shaju C. A.
- Mr. Guruvayurappan V.
- DAVIS C.C
- Mr. Jaison M. J.
- JOPHY P J
- Dr. Cijil B. John
- Mr. Parameswaran K.
- Mr. Anto Zacharias
- Dr. Deepanraj B.
- Dr. Biju P. L.
- Dr. S. Krishnanunnni
- Mr. Sathya Dev D.
- Dr. Thomas Joseph
- Mr. Jomin George
- C. KARUNAKARAN
- Mr. Jinesh K. J.
- Ms. Nyni K. A.
- Mr. Majeendran K.
- Dr. Vivek Lukose
- Fr. Ajeesh Babu Perinchery
- Fr. Dr. Jose Kannampuzha
- Mr. Athul Krishna M. J.
- Dr. Anoopa Jose Chittilappilly
- Dr. Anand Krishnan N.
- Ms. Athira P. Preman
- Mr. Sibin Johny
- Mr. C Sumesh
- Mr. Ashik M. S.
- Mr. Manikandan N. R.
- Mr. Jain Varghese
- Mr. Leo Mathew
- Ms. Sreeshma Sasidharan
- VIJAYACHANDRAN NAIR
Educational Summary
| Course | University | Year |
|---|---|---|
| M.Tech Computer Science and engineering | NSS College of engineering Palakkad KTU | 2024 |
| B.Tech Computer Science and engineering | Jyothi engineering college KTU | 2022 |
Experience
| From Date | To Date | Institution Name | Designation |
|---|---|---|---|
| 2025-06-16 | 0000-00-00 | Jyothi engineering college | Assistant professor |
| 2024-06-10 | 2025-06-11 | Sreepathy engineering college | Assistant professor |
| 0000-00-00 | 0000-00-00 |
Achievements
| Achievement | Year |
|---|---|
| Published and Granted a patent on title " AI Based Device for Agricultural Disease Detection" on June 20.26. | 2026 |
| Participated & completed AICTE Training And Learning (ATAL) Academy Faculty Development Program on NEXT-GENERATION AUTOMATED SYSTEMS: MULTIMODAL LEARNING, MLOPS, RESPONSIBLE DATA ANALYTICS AND QUANTUM PROCESSING at AHALIA SCHOOL OF ENGINEERING & TECHNOLOGY | 2026 |
| Completed 14 days internship in " Artificial Intelligence & Machine Learning. During this tenure successfully completed the project tile : " A Machine Learning-Based Intrusion Detection System for Network Security". | 2026 |
| Participated in the Six-Day Faculty Development Programme entitled “Next-Generation Artificial Intelligence: Agentic, Responsible and Sustainable AI Systems”. | 2026 |
| Successfully completing the course " Artificial Intelligence for All" in Infosys springboard | 2025 |
| Participated & completed AICTE Training And Learning (ATAL) Academy Faculty Development Program on Future-Ready Educators: Harnessing Intelligent Computing Systems for Teaching and Research at Jain Deemed to be University Off Campus at Kochi | 2025 |
| Successfully completing the course "Hands-on Supervised Machine Learning with Python" in Infosys springboard | 2025 |
| Participated in the 2-Week Online Winter Course on National Capacity Building Program on Research and Publications organized by the Indian Institute of Technology, Dharwad, Karnataka. | 2025 |
| Successfully completing the course " Step-by-Step Machine Learning with Python" in Infosys springboard | 2025 |
| Participated & completed AICTE Training And Learning (ATAL) Academy Faculty Development Program on Recent Advances & Emerging Trends & Application in Robotics and Automation at NITTE MEENAKSHI INSTITUTE OF TECHNOLOGY | 2025 |
| Participated in the All-India Women Start-a-thon (AIWS) 2025-26, demonstrating enthusiasm, commitment, and entrepreneurial spirit. | 2025 |
Papers Published
| IEEE Paper published : title: Multi disease detection and diagnosis through ensemble learning:- Athira K P, "Multi Disease Detection And Diagnosis Through Ensemble Learning," 2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI), KANNUR, India, 2024, pp. 1-6, doi: 10.1109/APCI61480.2024.10616480. keywords: {Heart;Deep learning;Machine learning algorithms;Heart beat;User interfaces;Sensors;Medical diagnosis;Machine Learning;Deep Learning;Ensemble Learning Random Forest;CNN;XGBoost;Max30100 heart beat sensor}, |
| J. Paulson, J. Jacob, L. Vincent, R. P. Cherian, A. K. P and S. Xavier, "Home Companion Robo: An Affordable Voice-Assisted Healthcare Service Robot for Enhanced Patient Independence," 2026 International Conference on AI-Driven Solutions for Sustainable Smart Cities: Challenges and Opportunities (ADSSSC), Thrissur, India, 2026, pp. 683-687, doi: 10.1109/ADSSSC67751.2026.11581981.(IEEE) keywords: {Robots;Medical services;Design methodology;Printing;Arm;Wearable devices;Grippers;Modules (abstract algebra);Costing;Costs;Healthcare robotics;assistive technology;voice interface;Raspberry Pi;service robot}, |
| J. T, A. K. P, A. V. A and A. S. A, "A Novel Federated Big Data Analytics Framework Using Latent Energy Interaction Modeling and Rule-Embedded Anomaly Intelligence for Smart Grids," 2026 10th International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2026, pp. 247-253, doi: 10.1109/ICISC69558.2026.11681368.(IEEE) keywords: {Modeling;Smart grids;Timing;Energy;Loading;Federated learning;Equations;Anomaly detection;Learning (artificial intelligence);Accuracy;Federated Learning;Smart Grid;Load Forecasting;Anomaly Detection;Latent Energy Interaction Modeling;Cross-Attention;Temporal Transformer;Energy Rule-Embedded Neural Validator;Data Privacy;Distributed Energy Systems}, |
Projects Guided
| Projects Name | Details | Year |
|---|---|---|
| AI Powered Multi - Hazard Disaster Prediction Emergency Alert and Survivor Detection System | Natural disasters such as floods, landslides, earthquakes, cyclones, and wildfires result in significant loss of human lives, infrastructure, and economic resources, while existing disaster management systems often suffer from limited prediction accuracy, delayed emergency response, and poor integration of monitoring technologies. This project proposes an AI-powered Multi-Hazard Disaster Prediction, Early Warning, and Survivor Detection System that integrates Machine Learning algorithms (Random Forest and LSTM) with an IoT–Cloud architecture to provide accurate disaster prediction and rapid emergency response. Real-time data collected from IoT sensors, GIS information, satellite imagery, and weather services are analyzed to predict potential disasters, while a Flask-based backend processes the data and issues instant alerts to citizens and disaster management authorities through web and mobile notifications. | 2026 |
| Home Companion Robo: An Affordable Voice-Assisted Healthcare Service Robot for Enhanced Patient Independence | Abstract—In healthcare facilities, particularly elder care and rehabilitation centres, mobility limitations significantly hinder patients’ ability to perform daily activities. Simple tasks such as retrieving water or medication often require caregiver assistance, leading to reduced patient independence and increased caregiver workload. To address this challenge, we present Chitti, an af- fordable, voice-assisted indoor service robot designed to support individuals with limited mobility. Built on a wheeled base with an integrated gripper arm, the robot leverages lightweight on- device object detection powered by a Raspberry Pi 4, a camera module, and a servo-driven arm to identify and retrieve requested items. Users interact with the robot through a smartphone or wearable application using voice commands, enabling seamless hands-free operation. By automating item-fetching tasks, Chitti reduces caregiver burden while enhancing patient autonomy. Its cost-effective and modular design m | 2026 |