Dr. M. Ulagammai
Associate Professor
Department of Computer Science & Engineering – Emerging Technologies
Contact Information
Email : ulagammm@srmist.edu.in
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- Ph.D., Renewable energy & Machine Learning, Anna University, CEG, Chennai, 2016
- M.Tech., Power Systems Engineering. Anna University, Chennai, 2005
- B.Tech., EEE. Anna University, 2003
- Diploma in Data Science, IIT Madras, MAY 2024
- Prompt Engineering
- Machine learning
- Python programming
- Maths for Artificial Intelligence
- Soft computing techniques
- Microcontroller programming
- Renewable Energy
- Power systems
- Data structures using C
- Renewable energy
- Machine learning
- Large language models
- Optimal Placement of Renewable Based DG and DSTATCOM in Distribution Systems to Alleviate the Effects of EVCS , TD Suresh, M Thirumalai, M Ulagammai, R Hemalatha, Power Energy and Secure Smart Technologies, 2025
- Optimization of Power Loss Mitigation in Distribution Systems Using Hunter-Prey Optimization Algorithm for Multiple Types of DFACTS , M Thirumalai, M Ulagammai, TD Suresh, C John De Britto, Power Energy and Secure Smart Technologies, 2025
- Reliability Analysis of Distribution Systems with Solar-Based DG and Capacitor Integration Using the Water Cycle Optimization Algorithm , R Hemalatha, C John De Britto, T Yuvaraj, M Ulagammai, TD Suresh, Power Energy and Secure Smart Technologies, 2025
- Reliability Analysis of Distribution Systems with Solar-Based DG and Capacitor Integration Using the Water Cycle Optimization Algorithm , R. Hemalatha, Britto C. John De, T. Yuvaraj, M. Ulagammai, T. D. Suresh, M. Thirumalai, Power Energy and Secure Smart Technologies, 2025
- Intelligent Residential Energy Control with Demand Response Incorporating Renewable Power Sources and Electric Vehicle Integration , M Ulagammai, R Hemalatha, C John De Britto, TD Suresh, Power Energy and Secure Smart Technologies, 2025
- Muthusamy, T., Meyyappan, U., Thanikanti, S.B. et al. “Enhancing distribution system performance by
optimizing electric vehicle charging station integration in smart grids using the honey badger algorithm”. Scientific Reports -Nature 14, 27341 (2024) - Ulagammai Meyyappan , “A Novel approach on early detection of heart failure using sensor data and Machine Learning” – Under Review, Measurements: Sensor, Elsevier
- Ulagammai, “Supercapacitor Based Electric Vehicle’ IEEE 4th International Conference on Sustainable Energy and Future, 2024
- Ulagammai, “Smart Electric Vehicle Charging Station using Solar Power” IEEE 4th International Conference on Sustainable Energy and Future, 2024
- Yuvaraj T,Suresh T, Ulagammai Meyyappan ,”Optimizing the allocation of renewable DGs, DSTATCOM, and BESS to mitigate the impact of electric vehicle charging stations on radial distribution systems”,
Heliyon,Elseveir, Vol. 9,Issue 12, November 28, 2023 - J. Shanmuga Kani & M. Ulagammai (2023) Integrated Renewable Energy Storage System with Enhanced Self-Adaptive Differential Evolution Algorithm on Profit Maximization, Electric Power Components and Systems, August 2023
- Ulagammai M, Kavitha D, Differential Evolution Algorithm Based Optimization of networked microgrids” – Lecture notes in networks and systems, Springer Nature, July 2023
- Ulagammai M, “Security Camera with AI voice assistant and face recognition” – Springer , August 2023
- Ulagammai M, Narayanamoorthy, “ An AR based intelligent precision agriculture using cascade advancement deep learning technique” – IEEE XPLORE, May 2023
- M. Ulagammai, “Short Term Load Forecasting Using ANN and WNN,” 2023 International Conference on
Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bengaluru, India, 2023, pp. 612-616, doi: 10.1109/IITCEE57236.2023.10091081. - Ulagammai Meyyappan, “Demand response and optimal power flow in wind power incorporated energy storage systems”, – Intelligent Automation and Soft computing, Techscience press, June 2022, Vol 35, pp:399-413
- Ulagammai.M, Joyal Isac.S, “Solar Power Forecasting Incorporated Energy Management Scheduling in a
Microgrid:”,Design Engineering – 0011- 9342 Vol 2021: Issue 08, 4243-4249 - Shanmugakani, Ulagammai Meyyappan, Joyal Isac, “A review on Optimal sizing of Battery storage
technologies”, Solid state Technology, Vol no 63, 2s ,November 2020, ISSN: 0038-111X - Joyal Isac, Ulagammai Meyyappan, Shanmugakani, “Child Safety Wearable Device Using Raspberry Pi”, Solid state Technology, Vol no 63, 2s ,November 2020, ISSN: 0038-111X
- Ulagammai Meyyappan, “Optimal Sizing and Allocation of Energy Storage in Wind Power Incorporated
Optimal Power Flow”, – International Journal of Wind Engineering – June 2019 - Ulagammai Meyyappan, “ Wavelet neural network–based wind speed forecasting and application of shuffled frog leap algorithm for economic dispatch with prohibited zones incorporating wind power ”, International journal of Wind Engineering, Sage Publications, August 2017
- Ulagammai Meyyappan&Kumudini Devi RaguruPandu, ‘Wavelet Neural Network-based Wind-power Forecasting in Economic Dispatch: A Differential Evolution, Bacterial Foraging Technology, and Primal Dual – interior Point Approach’, Electric Power Components and Systems, Taylor and Francis, vol.43, no.13, pp.1–12, 2015
- Ulagammai Meyyappan & Kumudini Devi, RP, ‘Wavelet Neural Network Based Wind Speed Forecasting and Wind Power Incorporated Economic Dispatch With Losses’, International journal of Wind Engineering, vol.39, no. 3, pp.237-252, 2015
- Dhivya, S, Ulagammai, M & Kumudini Devi, RP, ‘Performance Evaluation Of Different Ann Models for Medium Term Wind Speed Forecasting’,International journal of Wind Engineering, vol.35, no.4,pp.433-444 ,2011
- Ulagammai M , ‘Short Term Load Forecasting Using ANN and WNN’ International Journal of Computer
Trends and Technology (IJCTT) – March to April Issue , ISSN: 2231-2803, pp 179- 183, 2011 - Ulagammai M, ‘Load Flow Analysis Using Particle Swarm Optimization Trained Neural Networks’,
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering,
Vol. 1, Issue 6, December 2012,pp 582-586 - Ulagammai, M, Venkatesh, P, Kannan, PS & Narayana Prasad Padhy, ‘Application of Bacterial
Foraging Tehnique Trained Artificial and Wavelet Neural Network in Load Forecasting’,Elseveir Science Direct, Journal of Neurocomputing, vol. 70, pp. 2659-2667, 2007.
- Presented the paper titled “Intelligent Residential Energy Control with Demand Response Incorporating
Renewable Power Sources and Electric Vehicle Integration” at the 1st International conference on Power Energy and Secure Smart Technologies (ICPEST-2024) held during 13-14 December 2024 at Chaitanya Bharathi Institute of Technology, Hyderabad, India - presented the paper titled “Optimization of Power Loss Mitigation in Distribution Systems Using Hunter-Prey Optimization Algorithm for Multiple Types of DFACTS”at the 1st International conference on Power Energy and Secure Smart Technologies (ICPEST-2024) held during 13-14 December 2024 at Chaitanya Bharathi Institute of Technology, Hyderabad, India.
- Paper titled,’ Differential Evolution Algorithm Based Optimization of networked microgrids’ – IEEE conference, kerala,5NANO23
- Paper titled,’ SMART ELCTRIC VEHICLE CHARGING STATION USING SOLAR POWER’ – IEEE
conference, SRMIST, ICRTDA’23 - Paper titled,’ Security Camera with AI voice assistant and face recognition’, Springer conference-PSR college of Engineering
- Paper titled, “Optimized Self-Supportive Architecture of Networked Microgrids using Differential Evolution Algorithm”, ICOCS 22- Received Best paper award
- Paper titled, “CHILD SAFETY WEARABLE DEVICE USING RASPBERRY PI”, International e-Conference on Green Technologies for Power generation, Communication and Health Care on 6th June,2020 , SPIHER, Chennai,
- Paper titled, “Demand Response Based Wind Power Incorporated Optimal Power Flow – An Economic
Analysis” has been selected for presentation in the “International conference on Power Generation Systems and Renewable Energy Technologies” in Malaysia from April 4th to 6th 2017. - Presented a poster in NPERSM on Optimal Sizing and Allocation of Energy Storage in Wind Power
Incorporated Optimal Power Flow held at IIT Madras on 29.12.15 and 30.12.15. - Presented a paper for National Conference (NACPED’05), GCE, Tirunelveli on “Short Term Load Forecasting using ANN and WNN”
- Presented a paper for International conference (CITICOMS 2007), CIT, coimbatore, India on “Load flow
analysis using PSO trained neural network”
- Patent published on “ Design of Supercapacitor” in Sep 2022
- Patent granted on “ELECTRIC CYCLE”, August 2023(Design No. : 393622-001)
- Patent granted on “Autonomous electric truck integrated with solar power”, Sep 2024
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- FDP on “Introduction to Large Language Models” in May-25 at NPTEL
- FDP on “Introduction to ML” in May-25 at NPTEL
- FDP on “Python for Data Science” in Feb-25 at NPTEL
- Certification on “Basics of Counselling and Psychotherapy” in Jun-24 at Alison
- FDP on “Deep Learning Techniques for Social Media Analytics” from 15.04.2024 – 20.04.2024 at Kongu Engineering College
- FDP on “Aiming Towards 3D's in Electrical Engineering” from 11.03.2024 – 15.03.2024 at Mahatma Gandhi Institute of Technology
- FDP on “Issues, Opportunities and Challenges in Smart Grids” from 20.02.2024 – 24.02.2024 at Kavery Engineering College
- STTP on “Emerging Technologies in EEE” from 11.09.2023 – 15.09.2023 at Bharath Institute of Science and Technology
- FDP on “Realization of Community Microgrid Using Opal RT” from 31.07.2023 – 04.08.2023 at VIT Chennai
- FDP on “Advanced Control Communication and Protection of Sustainable Power and Energy Systems” from 26.06.2023 – 30.06.2023 at NIT Meghalaya
- Certification on “IUCEE International Engineering Educator” in Jun-23 at IUCEE
- Intern on “Electric Vehicle Technology Certification Course” in Jun-22 at Decibels Lab, Bengaluru
- FDP on “ATAL Sponsored FDP on AI Driven 5G/6G Network” from 2.11.2022 – 02.12.2022 at Veltech
Rangarajan College - STTP on “FPGA Based Controllers for Electrical Engineering Applications” from 22.08.2022 – 26.08.2022 at SRM Institute of Science and Technology
- FDP on “Advanced Technologies in Electrical Engineering Research” from 01.08.2022 – 05.08.2022 at Sairam Institute of Technology
- FDP on “AICTE Sponsored 'SCILAB and XCOS-FOSS for MATLAB'” from 07.02.2022 – 11.02.2022 at CMR Institute of Technology, Bengaluru
- FDP on “Research Innovations and Emerging Advances in Electrical Engineering" from 05.01.2023 – 12.01.2023 at Easwari Engineering College, Chennai
- FDP on “AICTE Sponsored 'UHV Refresher Course -1'" from 30.08.2021 – 03.09.2021 at AICTE
- STTP on “Engineering Maths with MATLAB" from 06.08.2021 – 08.08.2021 at IUCEE, RV College of Engineering
- FDP on “Inculcating Universal Human Values in Technical Education” from 12.07.2021 – 16.07.2021 at AICTE
- FDP on “AICTE Sponsored 'Peer to Peer Energy Transaction in Smart Distribution Systems” from 26.07.2021 – 30.07.2021 at VIT, Chennai
- STTP on "Anna University Sponsored FDP on Power System Analysis” from 28.06.2021 – 03.07.2021 at St.Xavier’s College of Engineering
- STTP on “MATLAB Onramp” in Sep-21 at MathWorks Training Services
- Certification on “Machine Learning Specialization” in Jun-21 at IIT Roorkee
- FDP on “AICTE Sponsored on Machine Learning to IoT” from 01.03.2021 – 06.03.2021 at Velammal Engineering College
- FDP on “Digital Teaching Techniques” from 29.06.2020 – 04.07.2020 at ICT Academy
- FDP on “Knowledge 4.0” from 29.06.2020 – 03.07.2020 at CIT Chennai
- STTP on “Advanced Power System Simulation Software” from 25.06.2020 – 27.06.2020 at SSN College of
Engineering - FDP on “Evolutionary Optimization Techniques” from 15.06.2020 – 17.06.2020 at SSN College of Engineering
- FDP on “Renewable Energy Systems” from 08.06.2020 – 12.06.2020 at Panimalar Institute of Technology
- STTP on “TEQIP Sponsored FDP on Advancements in Electrical Engineering” from 03.08.2020 – 07.08.2020 at NIT Silchar
- FDP on “IOT Using Raspberry Pi” from 27.11.2017 – 08.12.2017 at NIELIT, Chennai
- STTP on “Avenues for Energy Conservation in Buildings” on 24.01 at — CEG, Anna University
- Resource Person for the ATAL sponsored FDP on Integrating IoT in ML Techniques during the session titled “Hands-on Deep Learning”, held in December 2024 at SEC.
- Resource Person for the ATAL sponsored FDP on Machine Learning during the session titled “Machine Learning Applications”, held in December 2023 at KLN College of Engineering.
- Session Chair in ICEES 2023 on 24.03.2023 at SSN College of Engineering.
- Resource Person for the workshop on “Basics of Machine Learning using Python” held on 17.11.2022.
- Resource Person for the workshop on “Python for Electrical Engineers” conducted from 20.10.2021 to 21.10.2021.
- Masters in Artificial intelligence course from Inside AIML
- Online certification course on Machine Learning Specialization with Python from IIT Rourkee
- Real time project on BANKING CHATBOT using NLP
- Online Certification on LLM by NVIDIA
- Online Certification on Prompt Engineering by Coursera
- Deep learning domain specification courses from NPTEL
- Introduction to Large Language Models (LLMs) – Elite
- Introduction to Machine Learning – Elite
- Python for Data Science – Elite + Silver
- Online course on Python Core and Data science from Sololearn
- Professor, Saveetha Engineering College, Chennai – June 2024 to May 2025
- Associate Professor / EEE, Saveetha Engineering College, Chennai – June 2016 to May 2024
- Assistant Professor (SG), Saveetha Engineering College, Chennai – June 2010 to June 2016
- Lecturer, Saveetha Engineering College, Chennai – June 2007 to May 2010
- Lecturer, KLN College of Engineering, Madurai – June 2005 to May 2007
- University Ambassador – certified to deliver NVIDIA instructor-led workshop for academia
- Received a grant of Rs.3,50,000/- for conduction of FDP from AICTE-ATAL scheme – Dec 2-7, 2024
- Anna university recognized Supervisor – Ph.D Completed -1 & In progress – 1
- DC member for AU research scholar
- NBA coordinator
- Anna university affiliation coordinator
- Outcome based education team member
- Best faculty award in Saveetha Engineering College in 2023
- Coordinator of International econference on International conference on Power, Control, Signals and
Instrumentation Engineering (ICPCSIE’20), 28 th August 2020 - Coordinator of five days FDP on “AI techniques in power systems”- June 22 – 27,2020
- Coordinator of two days International conference on Power, Control, Signals and Instrumentation Engineering (ICPCSIE’17) on 21.09.17 & 22.09.17
- Coordinator of one-day International conference on Power, Control and Instrumentation Engineering
(ICPCIE’16) on 30.04.16 - Coordinator of Seven days Anna University sponsored FDTP on FACTS from 16.12.15 to 23.12.15
- Coordinator of Two days international conference on Power, Control and Instrumentation Engineering
(ICPCIE’14) on 28.03.14 & 29.03.14. - Organized 20+ workshops and seminars as a forum coordinator in EEE department
- Won cash award for 100% result in Intelligent Control (VII EEE) in the year 2012
- Won cash award for 100% result in Microprocessor and its applications (VI EEE-EE340 during Dec 2005-Apr 2006)
- Given a guest Lecture on Object Oriented concepts for INFOSYS Campus connect Program
- Awarded certificate of Appreciation from the Placement Cell for the deliverance of Soft skill and Knowledge to enhance the employability of the students
- Gold Medalist in PG in Thiagarajar College of Engineering in 2005
- IEI (M-154222-7)
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