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Dr. Madhu B R

Artificial Intelligence and Machine Learning

Dr. Madhu B R

Dr. Madhu B R

Professor & Head

Dr. Madhu B R

Email: hod.aiml@jyothyit.ac.in

Dr. Madhu B. R is working as Associate Professor in the Department of Artificial Intelligence and Machine Learning. He graduated in Computer Science & Engineering from Bangalore University. He completed his M.Tech from Visvesvaraya Technological University and secured 3rd rank. He has completed his PhD from Jain University with his research area being Cloud Computing. His research interests are in the fields of Cloud Computing, Data Analytics, Databases and Block Chain. He has rich Industry experience at Honeywell Technology Solutions Lab, Bangalore and Academic/Research experience. He has guided many projects in the area of Cloud computing, Database, Embedded Systems, Data Analytics and Networks which has resulted in technical papers in International peer-reviewed Journals and National Conference. He has published several articles in international conferences. Research papers are indexed in SCOPUS. He has completed certified programs in new technologies under The National Programme on Technology Enhanced Learning (NPTEL) and Cognitive Classes (formerly known as Big Data University). He was a resource person for the workshop conducted for all Visvesvaraya Technological University faculties on Embedded Systems. He has conducted Value Addition programs and placement training at various Engineering colleges. He was also a resource person for the Infosys Campus Connect program. He has played a key role in organizing various workshops on Embedded Systems, Cyber Security and Ethical Hacking, and Application development using Embedded Systems successfully. He has been a panel member for various National level conferences.

Cloud Computing, Artificial Intelligence & Machine Learning, Data Science, Blockchain

IAENG

Data Analytics with R and Blockchain with IBM Badge from Cognitive Classes.
NPTEL Certifications

Journal Publications
  • A Comparative Study of Algorithms For Efficient Dynamic Consolidation of Virtual Machines In Cloud, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 11, Number 6 (2016) pp 4597-4600
  • Building Efficient Classifiers For Intrusion Detection With Reduction Of Features, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 11, Number 6 (2016) pp 4590-4596
  • Minimizing Energy Consumption in Cloud Datacenters using Task Consolidation, International Journal of Engineering and Technology (IJET) ISSN 2319-8613 Vol 8 No 5 Oct-Nov 2016 pp 2188-2192
  • Detecting Malicious Cloud Bandwidth Consumption using Machine Learning, International Journal of Engineering and Technology (IJET) ISSN 2319-8613 Vol 8 No 5 Oct-Nov 2016 pp 2199-2205
Paper Presentations in International/National Conferences
  • Data mining based CIDS: Cloud intrusion detection system for masquerade attacks [DCIDSM], 2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013, 2013 IEEE
  • Minimizing Execution Time of Cloudlets through Optimal Allocation of Virtual Machines Using Genetic Algorithm, 2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT-2016), 2016 IEEE
  • Predicting Unlabeled Traffic For Intrusion Detection Using Semi-Supervised Machine Learning, 2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT-2016), 2016 IEEE
  • Action Detection for Sign Language Using Machine Learning, 2023 International Conference on Network, Multimedia and Information Technology (NMITCON), Pages 1-6, 2023, IEEE
  • Blind Assistance System using Digital Image Processing, 1st -International Conference on Recent Innovations in Computing, Science & Technology, ISBN:978-81-963209-0-4
Achievements and awards
  • Spot Awards, Team Achievement Awards & Customer/Partner Awards from AIRBUS.
  • Winner of 5th International Staff Table Tennis Tournament, 2022-23 held at PES University, Bangalore.
Resource Person for workshops / FDPs

Resource Person for two-day workshop on Embedded Computing Systems for the teaching staff of CS&E IS&E, E&C and E&E branches of VTU affiliated colleges.

FDP’s Attended: 25