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About
I have a PhD in Computer Science and Engineering from Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE) (NIRF 8), Karnataka. Currently I am working as an Associate Professor in Computer Engineering department of Agnel Institute of Technology and Design (AITD), Goa University. Prior to joining AITD, I worked at Dept of ISE, Ramaiah Institute of Technology (MSRIT), Autonomous Institute affiliated to VTU (NIRF 67, 1 st among VTU, Karnataka). I had also worked with BMSIT&M, Bangalore and Shree Rayeshwar Institute of Engineering and Information Technology, Goa University where along with teaching I held various positions such as Head of Department of Information Technology, Chief conductor exams and Member Board of Studies Information Technology. I have overall 18 years of experience in teaching, research and administration. My research areas include Artificial Intelligence in Medicine, Data mining, Machine learning and Data warehousing. I have written 20 journal articles and 10 conference proceedings published in reputed SCI, Scopus and web of science listed journals (citations 84 and H index 5).
Overview
Field of Interest
Data Mining, Data Science, Machine Learning, Deep Learning and blockchain
Qualification
PhD (MIT, Manipal Academy of Higher Education), ME IT (PCCE, Goa University) BE IT (SRIEIT, Goa University)
Date of Joining AITD
17th October 2022
Experience
Teaching: 18 Years (inclusive of research)
Research: - 4 Years
Industry:
Courses
Course Taught
| Sr.No | Class | Course Name |
|---|---|---|
| 1 | TE Comp(Sem VI) | Data Mining and Data Warehousing |
| 2 | SE Comp(Sem III) | Object Oriented Programming System |
Experience
Publication
Journals
| S.No | Author(s) | Title of the Paper | Journal Name | Volume, Page Number, Year | National/International | |
|---|---|---|---|---|---|---|
| 1 | Rudresh D. Shirwaikar, Louie Antony Thalakottor and PavanTeja | Classification of histopathological images from breast cancer using deep learning – A comparative analysis | Crit Rev Biomed Eng. (Scopus indexed / Web of Science). Status- communicated 2022 (Scopus Q3 SCI) | National | ||
| 2 | Rudresh D. Shirwaikar, Iram Sarwari, Mehwish Najam and Shama H M | A review of current state of art of Autism using Machine learning | Crit Rev Biomed Eng. (Scopus indexed / Web of Science). Status- communicated 2022 (Scopus Q3 SCI) | National | ||
| 3 | Rudresh D. Shirwaikar, Trisha Vishvanath, Washitwa Mani Jaswal and Yashaswi | ocial media data extraction for disaster management aid using deep learning techniques | Elsevier International Journal of Disaster and Risk reduction. Status- communicated 2022 (Scopus Q1 SCI) | International | ||
| 4 | Rudresh Deepak Shirwaikar, Prathiv K P and Akarsh H Simha | Machine Learning approach for predicting Accident Severity | Elsevier Expert Systems with Applications | National | https://track.authorhub.elsevier.com/?uuid=37f6b6e7-21c6-4851-ae93-ac323f02d5fc Status- under review 2022 (Scopus Q1 SCI) | |
| 5 | Rudresh Shirwaikar, Mudduluru Charan Teja and Gaddam Sai Jayachandra | Automated Fish Classification Using different Convolutional Neural Networks | pringer Lecture Notes in Networks and Systems Status- accepted 2022 Series. (Scopus) | National | ||
| 6 | Rudresh Shirwaikar and Shama H M | Optical wireless communication for 6G Networks | Springer Smart Innovation, Systems and Technologies Status- accepted 2022 Series. (Scopus) | National | ||
| 7 | Rudresh D. Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, M. Surulivelrajan | A novel application to develop illness severity scores for predicting mortality and morbidities in a Neonatal Intensive Care Unit | nternational Journal of Engineering Systems Modelling and Simulation, Status- accepted with minor revision (Scopus indexed). 2022 | International | ||
| 8 | Rudresh Deepak Shirwaikar, Aditya Tandon, K. Sathesh Kumar, M. V. Aditya Nag, Bobin Cherian Jos, Bos Mathew Jos | Artificial intelligence enabled additive manufacturing system using 5G and industrial IoT | International Journal of Engineering Systems Modelling and Simulation Online First Articles. | International | https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijesms 2022 (Scopus indexed) | |
| 9 | Rudresh Deepak Shirwaikar, Kuthika Ramesh, Abu Mohammed Faisal, M. Jeshwanth, Aditya Raghav | 3D segmentation of brain tumour | International Journal of Engineering Systems Modelling and Modellin and Simulation Online First | International | https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijesms 2022 (Scopus indexed) | |
| 10 | Anandakumar Haldorai, Rudresh Deepak Shirwaikar, L. Rama Parvathy, S. Markkandan, Kovendan AKP and Ram Subbiah | An efficient Hybrid global optimizer for accurate modeling of manipulator dynamics in minimum-time trajectory-planning problem | Nat. Volatiles & Essent. Oils, 2021; 8(5): 1583 – 1592 (Scopus indexed) | National | ||
| 11 | Rudresh D. Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, M. Surulivelrajan | Artificial Intelligence Enabled Additive Manufacturing System Using using 5G and Industrial IOT | nternational Journal of Engineering Systems Modelling and Simulation, Status- accepted with minor revision (Scopus indexed). | International | ||
| 12 | Rudresh D. Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, and M. Surulivelrajan | Estimation of Aminophylline effectiveness at Neonatal Intensive Care Unit (NICU) using Artificial Intelligence | Malaysian Journal of Medicine and Health Sciences | eISSN 2636-9346), August, 2020, (16), 47-54 (Scopus indexed / Web of Science) | National | |
| 13 | Rudresh D. Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, M. Surulivelrajan, Shikhar Srivastava and Leslie Edward Simon Lewis | Optimizing Neural Network for medical data sets: A case study on neonatal apnea prediction | Artificial Intelligence in medicine, (ELSEVIER), | July, 2019, (98), 59-76 (Scopus indexed / Web of Science). | National | |
| 14 | Rudresh D. Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, M. Surulivelrajan, Leslie Edward Simon Lewis | Estimation of caffeine regimens: a machine learning approach for enhanced clinical decision making at a Neonatal Intensive Care Unit (NICU) | Crit Rev Biomed Eng. 2018; 46(2):93-105. (Scopus indexed / Web of Science) | National | ||
| 15 | Rudresh D. Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, M. Surulivelrajan, Leslie Edward Simon Lewis | Design Framework for a Data mart in Neonatal Intensive Care Unit (NICU) | Crit Rev Biomed Eng. ; 46(3):221-243. (Scopus indexed / Web of Science) | National | ||
| 16 | Satish Gangavati and Rudresh Deepak Shirwaikar | Survey on Electrocardiogram (ECG) Atthythmia Classification | EST Journal on Emerging trends in Modelling and Manufacturing | Volume 4, No 3, Nov 2018. (UGC approved) | National | |
| 17 | Rudresh D. Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, M. Surulivelrajan, Leslie Edward Simon Lewis | Machine learning Techniques for Neonatal Apnea prediction | Journal of Artificial Intelligence | Vol: 9, page: 33 -38, ISSN 1994 -5450, DOI: 10.3923 / jai.2016. (Scopus indexed). | National | |
| 18 | Mago N, Shirwaikar R.D, Dinesh Acharya U, Govardhan Hegde K, Lewis L.E.S, Shiva kumar M | artition and Hierarchical Based Clustering Techniques for Analysis of Neonatal Data | n: Guru D., Vasudev T., Chethan H., Kumar Y. (eds) Lecture Notes in Networks and Systems | vol 14. 2018, Springer, Singapore. (Scopus) | National | |
| 19 | Rudresh D. Shirwaikar | Data Mining on Educational Domain | nternational Journal of Advanced studies in computer science and Engineering | ISSN: 2278-7917 Volume 1, July 2012. | International | |
| 20 | Rudresh D. Shirwaikar | Analyzing Student's performance using Frequent Item Set Mining, Clustering and classification | International Journal Of Management and Information Technology | ISSN: 2278-5622(online) Volume 1, No 2, July, 2012 | International | |
| 21 | Rudresh D. Shirwaikar | A Framework for Personalized E –Learning and Log Tracking Using Data mining Algorithm | International Journal Of Advances in Management, Technology and Engineering Sciences | SSN: 2249 – 7455, Volume 2, No 9, June, 2013. | International | |
| 22 | Rudresh D. Shirwaikar | A Comparative Study: BIRCH and CLIQUE | International Journal of Engineering Research and Technology. November 2013. | International |
Conference
| S.No | Author(s) | Title of the paper | Conference Name | Volume, Page Nme, Year | National/International |
|---|---|---|---|---|---|
| 1 | R. D. Shirwaikar, A. M. Faisal, A. Singh and D. D. Shanbhag | A review on Privacy and Security in 6G Networks | 2021 International Conference on Forensics, Analytics, Big Data, Security (FABS), 2021, pp. 1-6, doi: 10.1109/FABS52071.2021.9702654 | International | |
| 2 | R. D. Shirwaikar, K. Ramesh and A. Hiremath | A survey on Brain Tumor Detection using Machine Learning | 021 International Conference on Forensics, Analytics, Big Data, Security (FABS), 2021, pp. 1-6, doi: 10.1109/FABS52071.2021.9702583 | International | |
| 3 | Rudresh D. Shirwaikar, Dinesh Acharya, Tanvi Parate, and Leslie Edward S Lewis | Risk Stratification of Neonates using Machine Learning Techniques | 2020 IEEE International Conference on Distribute VLSI, Electrical Circuits, & robotics (Discover) Oct 30-31,2020 (Scopus indexed / Web of Science) | International | |
| 4 | Rudresh D. Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, M. Surulivelrajan, Leslie Edward Simon Lewis | Machine learning approach for estimation of Aminophylline effectiveness at Neonatal Intensive care Unit (NICU) | 5th International conference on computational methods in engineering and health sciences, July 16 - 17, 2019. | International | |
| 5 | Mago N., Shirwaikar R.D., Dinesh Acharya U., Govardhan Hegde K., Lewis L.E.S., Shiva kumar M | Partition and Hierarchical Based Clustering Techniques for Analysis of Neonatal Data | In: Guru D., Vasudev T., Chethan H., Kumar Y. (eds) Proceedings of International Conference on Cognition and Recognition. Lecture Notes in Networks and Systems | vol 14. 2018, Springer, Singapore. | International |
| 6 | N. Mago, S. Srivastava, R. D. Shirwaikar, U. D. Acharya, L. E. S. Lewis and M. Shivakumar | Prediction of Apnea of Prematurity in neonates using Support Vector Machines and Random Forest | 016 2nd International Conference on Contemporary Computing and Informatics (IC3I), Noida, 2016, pp.693-697. IEEE, 2017 | International | |
| 7 | Rudresh D. Shirwaikar, Nikhit Mago, Dinesh Acharya, Krishnamoorthi Makkithaya, Govardhan Hegde | upervised Leaning Technique for analysis of neonatal data | EEE proceedings, In Applied and Theoretical Computing and Communication Technology (iCATccT), 2016 2nd International Conference, IEEE, 27 April 2017. | International | |
| 8 | Rudresh D. Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, M. Surulivelrajan | Data mining framework for prediction of Apnea and Drug Dosage of Caffeine and Aminophylline in Neonates | Poster presentation in: Manipal Research Colloquium, Manipal University, 5 April, 2017. | ||
| 9 | Rudresh Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, M. Surulivelrajan | ata Mining Framework for Prediction of Apnea and Drug dosage of Caffeine and Aminophylline in neonates | In International conference on Applied Sciences, Engineering and Technology (ICASET -2017), held at Manipal Institute of Technology, Manipal between 10th – 12th July 2017. | International | |
| 10 | Rudresh D. Shirwaikar, Dinesh Acharya, Krishnamoorthi Makkithaya, M. Surulivelrajan, Leslie Edward Simon Lewis | Design and development of a real time Data mart for Neonatal Intensive care unit ICEMS | 2016 conference, March 17 - 19, 2016 | National | |
| 11 | Rudresh D. Shirwaikar | K means Clustering method for analysis of log data | In International conference on advances in computer science and applications. 2013 ACEEE. | International | |
| 12 | Rudresh D. Shirwaikar | Tech Vista2012 at PVPIT Sangli, February 4, 2012. (National Level Conference) | National | ||
| 13 | Rudresh D Shirwaikar | mplementation of CLIQUE algorithm for mobile phone usage mining and proposed modification to the algorithm | In International Research Conference on Innovative Strategies in Commerce, Management, Engineering, Technology and Social Sciences. June 2013, Margao, Goa. | International | |
| 14 | Rudresh D Shirwaikar | DBSCAN Method of Clustering | In International Research Conference on Innovative Strategies in Commerce, Management, Engineering, Technology and Social Sciences. June 2013, Margao, Goa. | International | |
| 15 | Rudresh D Shirwaikar | Framework for personalized E learning and Log tracking using Data Mining Algorithms. | In International Research Conference on Innovative Strategies in Commerce, Management, Engineering, Technology and Social Sciences. June 2013, Margao, Goa. | International |
Workshops /Conferences/ FDP/ STTP/Webinars
Workshops Attended
| Sr. No | Title | Start Date | End Date | Organized By |
|---|---|---|---|---|
| 1 | Data base Management Systems | 21-05-2013 | 31-05-2013 | IIT, Bombay Under the National mission on Education through ICT (MHRD). |
| 2 | Research Avenues in Computer Forensics | 10-03-2012 | 10-03-2012 | Gogte Institute of Technology, Belgaum |
| 3 | NAAC Assessment and Accreditation | 30-01-2013 | 30-01-2013 | Internet Quality Assurance Cell (IQAC) Goa University |
| 4 | Enhancing processes effectiveness through benchmarking | 22-03-2013 | 23-03-2013 | Internal Quality Assurance Cell (IQAC)”, Goa University |
| 5 | How to plan and write manuscript and get published in Scientific Journals? | 28-06-2016 | 28-06-2016 | Department of Library and Information Science, Manipal University in association with Springer Nature held |
| 6 | Data Manipulation and statistical analysis using SAS | 01-08-2014 | 03-08-2014 | Department of Statistics, Manipal University, Manipal |
| 7 | AI and Deep Learning | 11-08-2018 | 13-08-2018 | leadingindia.ai a Nationwide AI Skilling and Research Initiative at KLE Technological University, Hubballi, Karnataka(certification workshop) |
| 8 | Cryptology | 26-09-2019 | 28-09-2019 | Dept. of CSE, Presidency University, Bangalore. |
FDP Attended
| Sr. No | Title | Start Date | End Date | Organized By |
|---|---|---|---|---|
| 1 | Scientific Approach to Health, technology and Innovative applications | 04-04-2022 | 09-04-2022 | Dept. of ISE, MSRIT |
| 2 | Industry 5.0: Concept, technology and Innovative applications | 21-03-2022 | 25-03-2022 | Dept. of ISE, MSRIT. |
| 3 | Swotting of digital tools for effective online teaching | 22-06-2020 | 26-06-2020 | Sona College of Technology, Salem. |
| 4 | Six Sigma | 06-07-2020 | 10-07-2020 | EQIP sponsored IQAC, BEC, Bagalkot, Karnataka, India. |
| 5 | Recent Trends in Industry 4.0 Technologies | 27-07-2020 | 31-07-2020 | DBCE in association with ISTE, New Delhi and CSI, |
| 6 | Hadoop and Big Data Analytics | 21-05-2018 | 26-05-2018 | E and ICT Academy , NIT, Warangal at AITD, Assagoa, Goa |
Webinars Attended
| Sr. No | Title | Start Date | End Date | Organized By |
|---|---|---|---|---|
| 1 | Patent filling and its significance | 26-06-2020 | 26-06-2020 | IPS College of Technology and Management, Gwalior |
| 2 | Future of higher | 25-09-2020 | 25-09-2020 | BMSIT&M, Bangalore |
STTP/IETE/ISTE Attended
| Sr. No | Title | Start Date | End Date | Organized By |
|---|---|---|---|---|
| 1 | DATA SCIENCE AND ITS APPLICATIONS. | 08-02-2021 | 13-02-2021 | STTP sponsored by ALL INDIA COUNCIL OF TECHNICAL EDUCATION (AICTE) under AQIS |
| 2 | Technical Training Program on Android Application Development | 27-07-2020. | 31-07-2020 | ETE Mumbai in association with Pantech E Learning |
| 3 | Technical Training Program on Deep Learning and Artificial Intelligence | 13-07-2020. | 17-07- 2020. | IETE Mumbai in association with Pantech E Learning |
| 4 | ISTE approved short term training program on “Visual Studio 2010 Enabled Technologies" | 31-10-2011 | 04-11-2011 | Department of CE and IT, PCCE Verna Goa |
| 5 | Short term training program on “Data Mining : Research Challenges and Innovations” | 06-07-2015 | 09-07-2015 | National Institute of Technology, Goa |
FDP / Workshop coordinated:
- Organized a FDP on “Industry 5.0: Concept, technology and Innovative applications”, from 21 to 25 March 2022, Dept. of ISE, MSRIT.
- Coordinated open course on Applied Machine Learning organized by Dept of ISE, BMSIT&M, from 16th to 20th June 2020.
- Coordinated one week FDP / DSP (national level) on Trends in Dara Analytics in association with ISTE and CSI organized by Dept of ISE, BMSIT&M, from 10th to 14h August 2020.
- Chief Staff coordinator for the course “Embedded system with Raspberry Pi (Rpi) 3 B” organized at Shree Rayeshwar Institute of Engineering and Information Technology, Shiroda – Goa, from 3 rd July to 10th July 2018.
- Chief Staff coordinator for the course “Embedded system and IOT” organized at Shree Rayeshwar Institute of Engineering and Information Technology, Shiroda – Goa, from 30th August to 31st August 2018.
Patent Application Published
| Sr. No | Title | Application No. | Publication Date |
|---|---|---|---|
| 1 | Design of IOT system on Contiki operating system for engineering applications. | 201941051464 | 20-12-2019 |
| 2 | bnormal Detection and prediction of fetus by CTG and ultrasound data sets using Machine Learning techniques | 202041014960 | 20-12-2019 |
Recourse Person:
- Technical Program committee Member for “Multidisciplinary Conference on Engineering Science and Technology (MCEST 2022) at Sahyadri College of Engineering and Management. (27th to 28th May 2022).
- Delivered a Invited talk on AI and ML in Robotics on 17th March 2021 organized by Goa State Innovation council for graduate students.
- Recourse person for 4 days FDP on Future Trends of Data Analytics at Dept of CSE, Lourdes Matha College of Science and Technology ISO certified institute. (15 -18 June 2021).
- One day session – Machine Learning in Health care for Open course organized by Dept of ISE, BMSIT&M (20th June 2020).
- One day session – Fundamentals on Deep Learning and Computer vision (SDP) organized by Dept. of CSE, BMSIT&M in collaboration with NVDIA DLI (22nd July 2020).
- Two-day session - Introduction to Machine learning and Neural Network Applications (FDP state level) organized by Dept of MCA, BMSIT&M (27th June and 29th June, 2020).
- One day session – Trends in Data Analytics on health care (FDP National level) organized by Dept of ISE, BMSIT&M (14th July 2020).
- Session chair ICSSR New Delhi Sponsored Two-day National Seminar on Artificial Intelligence and Robotics in Business and Employment opportunities and Challenges (AIRBEOC Feb 2020) organized by Dept. of Commerce (PG) Acharya Institute of Graduate Studies.
- Session Chair for 7th IEEE, 2021 International Conference on Advanced Computing & Communication Systems (ICACCS) during 19-20 March 2021 at Coimbatore, Tamilnadu, India.
- Participated as a Delegate in Manipal Research Colloquimum – 2015 held at Maniapl University, Manipal from 06 th to 08 th April, 2015.
Achievements
- Research and Publication award by Manipal Academy of Higher Education 2018 – 2019.
- Reviewer of Computer Methods and Programs in Biomedicine (Elsevier Q1).
- Reviewed a funding proposal for UKRI Medical Research Council – Clinical Research Training Fellowship. (MICA: Utilizing Artificial intelligence to develop and test the Premature Infant Outcome Risk (PRIOR) tool for neonatal clinical trial stratification).
- Editorial Board Member for Journal of Big Data Technology and Business Analyticshttps://matjournals.com/Editorial-Journal-of-Big-Data-Technology-and-Business-Analytics.html
Research Guidance
- Approved Guide at VTU, Karnataka, for school of Computer Science and Engineering and Information Science and Engineering
- Guiding 2 students in the areas of Machine learning, Natural Language processing and Software Engineering.
Projects
Project Guided
- In a career spanning nearly 17 + years, I have guided 20 + projects.
Industry Internship:
- Completed the INTERNSHIP with STEP – National Institute of Technology, Surathkal in association with Pantech eLearning in IoT with Machine Learning. (03.12.2020 to 08.01.2021)
- Completed the INTERNSHIP with IETE , Mumbai Chapter & PANTECH SOLUTIONS in Deep Learning and Artificial Intelligence. (27th to 31st July 2020)
- Completed the INTERNSHIP with IETE, Mumbai Chapter & PANTECH SOLUTIONS in Android Application Development. (13th to 17th July 2020)
Certifications course:
- AI For everyone, July 2020.
- Programming with Cloud IOT platforms, July 2020.
- Programming for Everybody (Getting started with Python), July 2020.
- Neural Networks and Deep Learning (ongoing)
- AI and Medical Diagnosis (ongoing)
- Certificate course in “Biostatistics, Epidemiology and Research Methodology” conducted by Department of Statistics, Manipal University, Manipal, from February 2014 – July 2014
- NPTEL Online Certification on “Introduction to Data Analytics” (20 hours course) IIT Madras, from July 2015 to September 2015.
- Certification course on “Software Quality Testing” by SQTL in June 2006.
Funded Project Details
- Student project funds received for project titled “Intelligent Waste Bot using IOT and Deep learning for a Smart City” (2020 – 2021) from Karnataka State Council for Science and Technology. Status - Fund received
Additional Information
- Chairperson - Accrediation Comittee AITD
- BOE Member from Jan 2022 till Date, ISE, MSRIT, VTU.
- BOS Member from Jan 2021 till Dec 2021, ISE, BMSIT, VTU.
- Head, Department of Information Technology, S.R.I.E.I.T, Shiroda, Goa (4 years).
- Member of Board of Studies (I.T) UG and PG, Goa University. Appointed for a three-year term on July, 17, 2012.
- Chief Coordinator – Tech Twister (Annual National Level Technical Event) consecutively for the last five years from the year 2009 to 2013.
- Examiner for Computer Engineering/ Information Technology/Electronic Engineering, Goa University.
- Project Co coordinator (Assigning projects and guiding Students)
- Time Table In charge (Preparing time table)
- Student Council In charge (Guiding students in participating in extracurricular activities.)
- Chief Coordinator – S.R.I.E.I.T Alumni Association SRIEIT: Organized the First Alumni Convention in September, 2012.
- Chief Conductor from 07 to 12 June 2018, Goa University Examination May / June 2018.
- Dept Management student coordinator (July 2020 onwards)
- Dept Proctor coordinator (July 2020 onwards)
- Class teacher (July 2020 onwards)
- Internal test coordinator and BIMS coordinator (July 2020 onwards)
- External DC VTU August 2020 exams.
- BOS member for autonomous curriculum (Department of Information Science and Engineering, BMSIT&M) (2020 – 2021) .
Professional Memberships
- Life Member - Indian Society for Technical Education
- Life Member - Cryptology Research Society of India
- Member – IEEE Bangalore chapter and also advisor student chapter Information theory for ISE, BMSIT&M