Artificial intelligence and Machine learning
Software Engineering and Computer networks
Years of Experience
11 Years
Area of Research
Artificial intelligence and Machine learning
No of Student’s Project Guided
UG – 32
Publication Details
Journal
K.P Sriram “Personalizing Web Directories With Community
Discovery Algorithm ”Intemational Journal of Emerging Technology
inComputer Scienc Electronics (LJETCSE)and NetworkingVol.LETCSE-0976-1352 VOL JULY 2014.
K.P Sriram“A variable flow control algorithm for relay nodes in LTEA”Intemational Journal of Emerging Technology inComputer Scienc
Electronics (LJETCSE) ISSN: 0976-1353 Volume 13 Issue 1 MARCH
2015.
K.P Sriram”Comparison of Hysteresis and Ruzzy Logic Control of
Static Synchronous Series compensator for a wind turbine fed Funder
Asymmetric faults"International Journal of Applied Engineering
Fimearch (LAER) ISSN: 0973-4562 Volume 10, Number 61 (2015).
K.P.Sriram, K.Reshmaa and K.Sowhanthika “Image Processing and
Segmentation in Deep Learning Using CNN Algorithm for Leaf Disease
Detection”Departmentof Electronics and Communication Engineering,
,IndiaISSN: 2395-1990 Volume 9 Number12(2022).
K.P.Sriram, “Machine Learning Algorithms for Predicting House Prices in a
Smart city Using its Real-Time Data”at the Second International Conference
on Electronics and Renewable Systems (ICEARS 2023).
K.P. Sriram ,”Cab Actuation Using Beacon Intelligence-The Guardian
International” conference in smk fomra institute of technology on march 2019.
Conferences
K.P Sriram “Personalizing Web Directories With Community
Discovery Algorithm ”Intemational Journal of Emerging
Technology inComputer Scienc Electronics (LJETCSE)and
NetworkingVol. 1.IJETCSE-0976-1352 VOL JULY 2014.
K.P Sriram“A variable flow control algorithm for relay nodes in LTEA”Intemational Journal of Emerging Technology inComputer Scienc
Electronics (LJETCSE) ISSN: 0976-1353 Volume 13 Issue 1
MARCH 2015.
K.P Sriram”Comparison of Hysteresis and Ruzzy Logic Control of
Static Synchronous Series compensator for a wind turbine fed
Funder Asymmetric faults"International Journal of Applied
Engineering Fimearch (LAER) ISSN: 0973-4562 Volume 10,
Number 61 (2015).
K.P.Sriram, K.Reshmaa and K.Sowhanthika “Image Processing and
Segmentation in Deep Learning Using CNN Algorithm for Leaf Disease
Detection”Departmentof Electronics and Communication Engineering Annai
Vailankanni College of Engineering, Tamil Nadu, IndiaISSN: 2395-1990
Volume 9 Number12(2022).
K.P.Sriram, “Machine Learning Algorithms for Predicting House Prices in
Smart city Using its Real-Time Data”at the Second International Conference on
Electronics and Renewable Systems (ICEARS 2023)organized by St. Mother
Theresa Engineering College, Tuticorin, Tamil Nadu, India held on 2-4, March
2023.
FDP Attended
Attended Workshop on National Level One Week Faculty Development Programme on "Recent Trends in Data Science for Engineering" organized by Department of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana in association with CBIT IEEE-RAS student branch chapter from 26th June 2023 to 30th June 2023.
Attended Workshop of six-day Faculty Development Training Programme on AL 3501 Natural Language Processing conducted in Physical Mode by the Department of Artificial Intelligence & Machine Learning St. Joseph's College of Engineering Chennai from 03.07.2023 to 05.08.2023.
Participated in the ISTE and CSI Sponsored Five Days Virtual Faculty development Program (FDP) on "Insights and Open Challenges in Computing Technologies" held from 11.07.2022 to 15.07.2022.
Undergone Innovation Ambassador training (Foundation Level) conducted by Mol's Innovation Cell & AICTE during the period from 30th June to 30th July 2021.
Participated and successfully completed the online workshop on Universal Human Value on the theme "Inculcating Universal Human Values in Technical Education" during 14-18 December, 2020 as organized by All India Council for Technical Education.
Attended Webinar on “BLOCK CHAIN BASICS” on 18 May,2020. Organised by Sri Eshwar College of Engineering, Coimbatore.
Attended Webinar on “Al & MACHINE LEARNING” on 14 May, 2020 Organised by Sri Eshwar College of Engineering, Coimbatore.
Attended Webinar on “DEMYSTIFY THE CLOUD” on 17 May, 2020. Organised by Sri Eshwar College of Engineering, Coimbatore.
Attended Webinar on INDUSTRY 4.0 on 19 May, 2020, Organised by Sri Eshwar College of Engineering, Coimbatore.
Attended Webinar on FUTURE OF COMMUNICATION ENGINEERING on 20 May, 2020. Organised by Sri Eshwar College of Engineering, Coimbatore.
Sucessful completion of Faculty Development Programme on "Data Analysis & Visualisation of COVID-19 Dataset Using Python on 07-05-2020 organized by DEPARTMENT OF CSE in association with COMPUTATIONAL INTELLIGENCE MEASEARCH FOUNDATION (COP) CHENNAI.
Attended Webinar on "STATISTICS FOR DATA ANALYTICS" on 17-06-2020 organised by Department of Information Technology, Meenakshi Sundararajan Engineering College.
Participated in the webinar on "Technology in Education for NextGen after COVID-19" delivered by Mr. Charles Godwin, HR Leader & public speaker, ZOHO Corporation, on 9th May, 2020.
Participating in five days Faculty Development Programme (FDP) on "Pedagogy Training To Faculty Especially With Regard To Addressing The Needs Of Weak Students" under the aegis of TEQIP-III project, DUIET held at DUIET, Dibrugarh University, Assam from 22nd February to 26th February, 2021.
Participated in Webinar on "VIRTUAL AND AUGMENTED REALITY', organized by Department of Electronics and Communication Engineering in association with Meticulous Academy of Xcellence (MAX). held on April 22, 2020.
Participated in 5 Days Faculty Development Program on "Data Visualization using Tableau and Power BI and Rubiscape”held from 06th July 2021 - 10th July 2021Organized by Department of Information Technology, MIT School of Engineering, MIT ADT University, Pune.
Completed 6 days National Online Faculty Development Program on "MULTI TECHNOLOGY" organized by Department of Computer Science & Engineering, Anantha Lakshmi Institute of Technology & Sciences. Anantapur, in Collaboration with Brain O Vision Solutions India Pvt. Ltd. & National Youth Council of India held during 28/06/2021 to 03/07/2021.
Participated in National Level Faculty Development Program on Multi Technology from 28-06-2021 to 03-07-2021. organized by CSE, RYMEC in collaboration with Brainovision Solutions and National Youth Council of India.
Participated and successfully completed the online workshop on Universal Human Value on the theme "Inculcating Universal Human Values in Technical Education" during 14-18 December, 2020 as organized by All India Council for Technical Education (AICTE).
Presented the paper entitled Machine Learning Algorithms for Predicting House Prices in a Smart city Using its Real-Time Data at the Second International Conference on Electronics and Renewable Systems (ICEARS 2023) organized by St. Mother Theresa Engineering College, Tuticorin, Tamil Nadu, India held on 2-4, March 2023.
Participated and presented paper in the two days INTERNATIONAL VIRTUAL CONFERENCE ON RESEARCH INNOVATION IN SCIENCE, ENGINEERING AND TECHNOLOGY (IVCRISET 2022) on 1th Mar 2022 to 2nd Mar 2022.
Attended the online six day Short-Term Training Programme sponsored by AICTE & organised by Anna University at Recent Trends in Data Sciences conducted by the, Department of Information Technology at MIT Campus, Anna University, Chennai - 44. On 03/01/2022 to 08/01/2022.
Attended Webinar on TECHNOLOGY - THE FUTURE OF RECRUITMENT on 23 May 2020. Organised by Sri Eshwar College of Engineering, Coimbatore.
Workshop conducted for 6-Days in FDTP on "Fundamentals of Data Science" sponsored by ANNA UNIVERSITY, CHENNAI from 27th June 2022 to 2nd July 2022.
Took part in the six-day Faculty Development Training Programme on IT 8601 Computational Intelligence conducted in ONLINE MODE by the Department of Information Technology at Eswari engineering College Chennai from 19.1.2022 to 25.1.2022.
Presented a research paper entitled 'Image Processing and Segmentation in Deep Learning Using CNN Algorithm for Leaf Disease Detection' in the ICMCCT-2022 held on 20th June, 2022 Organised by Annai Vailankanni College of Engineering, AVK Nagar, Pothaiyadi Salai, Azhagappapuram. P. O, K. K. District, Tamil Nadu, India.
Published a research paper entitled 'Image Processing and Segmentation in Deep Learning Using CNN Algorithm for Leaf Disease Detection' in the International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Volume 9, Issue 12, May-June-2022.
Design System of Development and Evaluation of a Deep Neural Network Using CT images to Assess Renal Cell Carcinoma in biochemistry on 05/07/2022.
Took part in the six-day Faculty Development Training Programme on AD 8302 Fundament + Dester Science ONLINE MODE by the Department of at conducted in Intelligence Data Science St. Joseph & Institute of Technology, Chennai. from 20 .06 2022 to25.06.2022
Completed and received a passing grade in Introduction to Data Science (DS0101EN, provided by Cognitive Class) .A course on cognitiveclass.ai Powered by IBM Developer Skills Network. Issued by Cognitive Class and Issued on October 27, 2021.
Professional Membership
Life Time membership of Quality Circle forum India(No:049920116381)
Patents
Patent Granted for “Design System of Development and Evaluation of a Deep Neural Network Using CT images to Assess Renal Cell Carcinoma ” application no. 202241038472; 15/07/2022.
Patent Published for “Reinforcement of Wireless Sensor Network Data Reliability using Blockchain based Technology” application no. 202241047625; 02/09/2022.
Patent published for “Secure IoT Framework for Remote Healthcare Services Using Machine Learning Authentication and Authorization”.
Patent published for Machine Learning Algorithms for Predicting House Prices in a Smart city Using its Real- Time Data on 06 December 2022.
