Dr. AKILRANI M

Responsibility in Committees

1.  Innovative and R & D and Consultancy Cell member

2.  Academic committee member

3.  Women grievance cell member

Counseling/Mentoring

1.  2019-20:15 Members[Batch 2016,1^st Sem & 2^nd Sem]

2.  2018-19:15 Members[Batch 2015,1^st Sem & 2^nd Sem]

Courses handled/List of Instructional materials prepared

Courses handled

1.  Computer Networks

2.  Cryptography and Network Security

Courses Files Prepared

1.  Cryptography and Network Security

2.  Machine Learning

Innovative T/L methodologies

Used 10 Different Teaching Methodologies

1.  White Board and Marker

2.  PPT

3.  Lecture – Demonstration

4.  Seminar 5.Web Reference

6.  Video Lectures NPTEL

7.  Enquiry Based Education

8.  Co Operative Learning

9.  Brain Storming 10 Quiz

Professional Memberships

1. IETI –(2019)

2.  IAENG-Member No:237285

3.ACS-Memberships Number:32443416

Research Publications (Paper/Poster/book/book chapters/citations/etc)

Research Publications

1.  “A STUDY ON KNOWLEDGE DISCOVERY OF RELEVANT WEB SERVICES     WITH       SEMANTIC      AND    SYNTACTIC APPOACHES”, published on international journal of Computers 3061,DOI:htts://doi.org/10.24297/ijct.v4ila.3026

2.  “HYBRID APPROACH FOR GENERATING NON OVERLAPPED

SUBSTRING USING GENETIC ALGORITHM ”,published on

International journal of Research in Engineering and Technology

eISSN: 2319-1163 , pISSN: 2321-7308, Volume: 03 Issue: 05, May

2014.

URL:https://ijret.org/volumes/2014v03/io5/IJRET20140305045.pdf

3.  “AN INTERACTIVE MODEL FOR GEORESOURCE SOLUTION SEEKING USING ONTOLOGY “published on international Journal of Engineering and Technical Research (IJETR) , ISSN:2321-0869, Volume-2,    Issue-5, May2014.URL:https://www.erpublication.org/published_paper/IJET R 021852.pdf

4.  “A HEURISTIC SYSTEM FOR GEORESOURCE SOLUTION SEEKING USING   ONTOLOGY”Published  on   International   Journal   of   Artificial Intelligent        and        machine        Learning(CIIT)        ,Volume        6,No 2,2014.URL:http://www.ciitresearch.org/dl/index.php/aiml/article/view/AI ML022014005

5.    “IDENTIFYING AND REPLACING WEBSERVICE USING SERVICE COMPOSITION”Published on International Journal of Computer Science and Mobile Computing, Vol.3 Issue.11, November- 2014, pg. 407-413.ISSN 2320– 088X, URL:https://www.ijcsmc.com/docs/papers/November2014/V3I11201457.pd f

6.     “PLAUSIBLY DENIABLE ENCRIPTION OF DATA STORAGE AS HIDDEN FOLDER IN CLOUD”Published on Journal of Computer Science and Information Technology, Vol. 3, Issue. 11, November 2014, pg.351 – 355.ISSN                                                                                     2320–088X,

URL:https://www.ijcsmc.com/docs/papers/November2014/V3I11201488.pd f

7.  “DEPENDABILITY AND REPLACABILITY FOR COMPOSITE OF WEB SERVICES”Published on International Journal of Emerging Technology and Innovative Engineering Volume I, Issue 3, March 2015.ISSN: 2394 – 6598, URL: http://www.ijetie.org/articles/IJETIE_201513041.pdf

8.    “ACCURACY OF LEARNING DATA THROUGH NEW BREED OF WEB BASED APPLICATION USING SYNTACTIC APPROACH” Published onInternational Journal of Soft Computing, Volume 10,issue 2, 2015,pg.157- 162.ISSN : 1816-9503. DOI:http://dx.doi.org/10.36478/ijscomp.2015.157.162,                    URL: https://medwelljournals.com/abstract/?doi=ijscomp.2015.157.162

9.          “OPTIMIZED SERVICE SELECTION IN WEB SERVICE DISCOVERY“Published on International Journal of Applied Engineering Research.ISSN 0973-4562 Volume 10, Number 10 (2015) pp. 27425-27431. URL: https://www.ripublication.com/Volume/ijaerv10n10.htm

10.   “WEB MINING FOR POTENTIALLY VALUE ADDED SERVICES”, Published on Asian Journal of Information Technology, vol. 15, no. 16, pp. 2908-2962, ISSN:1682-3915.

DOI: http://dx.doi.org/10.36478/ajit.2016.2908.2926 URL:https://medwelljournals.com/abstract/?doi=ajit.2016.2908.2926

11.  “DATA LOCALITY AWARE FAST AND SECURED RETRIEVAL OF WEB SERVICES USING SECURE SERVICE DISCOVERY SYSTEM IN HADOOP”, Published on Transylvanian Review: vol. 24, no. 10, pp 2345-2360.

12.  “DESIGN OF MACHINE LEARNING BASED SUICIDE RATE

PREDICTION SYSTEM”,Published on International Journal of Scientific Research and Review, Vol. 8, Issue 4, April 2019, pp.474-477,ISSN:2279-543X.

DOI:http://www.dynamicpublisher.org/gallery/62-ijsrr-d- 1769.f.pdf

Projects guided

2018-19

Car evaluation prediction

2019-20

Frequent item Recommender system

Prediction of Loan Approval Using Machine Learning

List of Working models / Products developed / Incubation/start – ups &

List of projects received seed money

3

List of projects received seed money

INR 5000

List of NPTEL courses/ other certification courses done

1.Cloud Computing [NPTEL]

2.Completed What is Data Science?from IBMin coursera.

3.Completed Home Networking basic in Coursera.

4.Completed Machine Learning A-Z Python & R in Data Scinece provided by Udemy.

5.  Completed Top 5 Machine Learning libraries in Python provide by Udemy.

6.  Completed Linear regression with Numpy and pythonan online non- credit course authorized by Coursera Project Network and offered through coursera.

Incentives/Award/Reward/Recog nitions by university

1.Got ELITE in Could Computing[NPTEL]-AY:2019-2020

Faculty Development programs attended /Organized /resource person

1.   1. Faculty Development Program on “Machine learning for beginners” organized by Sphoorthy Engineering College, Hydrabad, 3^rd May 2020.

2.  Faculty Development Program on “Data Science using R”, dated from 28th May 2020 to 30th May 2020. Organized by Department of MCA, K. K. Wagh Institute of Engineering Education and Research, Nashik

3.  One week National FDP and online training on Moodle Learning Management System organized by Spoken Tutorial project, IIT Bombay, 27^th April – 2^nd May 2020.

4.  One Week Faculty Development Program on “Arduino” organized by Electronics & Telecommunication Engineering Department of Sou. VenutaiChavan Polytechnic, Pune in association with Spoken Tutorial IIT Bombay from 25th May 2020 to 29th May 2020.

5.  “R test” organized at SKN Sinhgad College of Engineering, Korti- Pandharpur by PRAKASH RAMESH GADEKAR with course material provided by the Spoken Tutorial Project, IIT Bombay. This training is offered by the Spoken Tutorial Project, IIT Bombay, funded by National Mission on Education through ICT, MHRD, Govt., of India, May 2020.

6.  Faculty Development Programme (online live instructor-led) on “Machine Learning and its Applications” conducted by Electronics and ICT academy, IIT ROORKEE, 5^th May – 14^th May, 2020.

7.  Completed 60 contact hours faculty Development Program on “Data Science” conducted by APSSDC and Excel R, held from 1^st June -30^th June 2020.

8.  Participated in 5days FDP on “Natural Language Processing Behind Data Science. From 22^ndJune – 26^thjune, 2020.

9.  Faculty Development Program “Machine Learning and Data Science for Engineering Applications” from 5th June 2020 – 10th June 2020, Organized by Department of CSE & IT, Shadan College of Engineering and Technology, Hyderabad.

10. Participated in “Data Analyst/Business Analyst course training” conducted by APSSDC and Excel R, held from 8^th August- 24^th September 2020.

11.  Participated in “Android Application Development Bootcamp, Conducted by Codegnan IT solutions OPC PVT.LTD ,from 27^th July – 6^th August, 2020

12. 1 Week HANDS-ON Faculty Development Program on “Artificial

Intelligence using Python”organised by the Department of Information Technology, CMR Engineering College, Hyderabad in association with Brainovision Solutions India Pvt .Ltd. & National Youth Council of India held from 14^th September 2020 to 19^th September 2020.

13. Participated in “Simplifying Data Science With Machine Learning” Virtual training program conducted by APSSDC and Excel R, held from 28th September To 12th October,2020.

14. Participated in “Simplifying Artificial Intelligence and Deep Learning for Students and Professionals” Virtual training program conducted by APSSDC and Excel R, held from 13th October to 23rd October, 2020

Conferences/Seminars/Workshop attended/ organised

1.  Webinar of “Employability Skills In Curriculum Design”,26^th April 2020.

2.Webinar on ÍOT Using Arduino”,24^th May 2020.

3.  CHALLENGES IN RESEARCH : PUBLICATIONS & ETHICS,3^rd

May,2020.

4.  Webinar on “Art of writing research papers” organized by CIT on

29^thApril ,2020.

5.  “Developing Thinking Abilities Relevant for Engineering Education”,28thApril,2020.

6.  “Get Ready for AI using MATLAB & Simulink” organised in association with Design Tech Systems Pvt. Ltd. Pune by Department of Electronics & Telecommunication Engineering on 27^th&28^th JULY 2020.

7.  Webinar on “ Blockchain 2.0- A shift from Bitcoin to Real world applications,3^rd August 2020.

8.  “International Workshop on Deep Learning (IWDL)” for 5 days,22^nd

August to 26^th August.,presented by GOAL street,BITS Pilani,Hyderbad campus

ICT USAGE:

webpage/blog/google classroom/LMS etc.

1.LMS[Great Learning]:https;;//Olympus.greatlearning .in/courses/17701 2.LMS[BYNDR]:akilakalam@gmail.com 3.Blog:https://akilarani.blogspot.com/

Ph.D enrolled/ awarded / guided

AwardedPh.Din the faculty of Information and Communication from Anna University, Chennai in the year of 2018 under the guidance of Dr.D.Shanthi, Prof/Head, Department of CSE, PSNACET, Dindigul, Tamil nadu,India.

Invited Lectures (Expert/conference/etc)

1. Invited as Guest Lecture “Core Java Technologies” at N.P.R.College of Engineering and Technology, Dindigul,Tamil Nadu

2.Invited as Guest of Honor” in Association Ingurationfuction on 20.07.18 for the Department of information Technology at Madurai SivakasiNadars Pioneer Meenakshi Women’s College, Madurai, Tamil Nadu.and given guest

lecture on “INTERENT of Things”.

3.  Session Chair in International Conference on Intelligent

4.  Session Chair in International Conference on Computer Networks, Big Data and IoT (ICCBI 2018) at The Vaigai College Engineering (VCE), Madurai, Tamil Nadu, 20 December 2018.

Industrial visits / Trainings / Internships organised

NO

List of In-house/ Funded /

Consultancy activities for R&D projects/documentation

Worked as apart of the team on the invention and Patent of

“Optimization MethodforMachine Lwearning Based Clustering of Serial Big data”,Application No.2019410436004

International fellowship for

advanced studies/research

NO

Previous Experience

Worked as Lecturer in Pandian Saraswathi Yadav Engineering college, Sivagangai District, Tamil Nadufrom May 2008 to June 2011.

Worked as Assistant Professor inNPR College ofEngineering and Technology,Natham,

Worked as Assistant Professor inVaigai College of EngineeringMelur,Madurai District,Tamil Nadu from January 2018 to December 2018.