Subodh Deolekar

I'm

About

Currently working as a Senior Specialist Data Sciences at LTIMindtree, USA.

Strong education professional with a Doctor of Philosophy - PhD focused in Computer Science from University of Mumbai, India.

  • Birthday: 30 December 1987
  • State: New Jersey, USA
  • Degree: PhD [Computer Science]
  • Email: subodhdeolekar@gmail.com

Passion

In addition to my academics, I have completed graduation in the field of Tabla (Visharad from Gandharava Mahavidyalaya), having learning experience for more than 20 years.

  • Opening Act for Indian Ocean at NCPA (Tata Theatre)One World Many Musics – Celebrating Artistic Plurality
  • October 24, 2015 | National Centre for the Performing Arts (NCPA), Mumbai

Performed as an opening artist for the internationally acclaimed Indian fusion band Indian Ocean at the prestigious National Centre for the Performing Arts (NCPA) as part of the One World Many Musics concert series, a curated platform celebrating global musical traditions and artistic excellence.

This performance was delivered as a member of the Murshidabadi Project, a classical–contemporary fusion initiative focused on preserving and re-contextualizing Indian musical heritage for global audiences.

Skills

Python 90%
Artificial Intelligence & Machine Learning 90%
Audio Signal Processing 80%
Java 80%
Deep Learning75%
Augmented Reality 60%

Resume

EDUCATION

Ph.D. (Science) in Computer Science

2014 - 2019

Department of Computer Science, University of Mumbai, Mumbai, India.

Dissertation: “Composition of rhythmic music: a machine intelligence approach”

Supervisor: Dr. Siby Abraham

Master of Science in Computer Science

2008 - 2010

Department of Computer Science, University of Mumbai, Mumbai, India.

Key Subjects: Artificial Intelligence, Image Processing, Distributed Computing, Fuzzy Logic & Neural Networks, Optimization Techniques.

Bachelor of Science in Computer Science

2005 - 2008

Ramnarain Ruia College of Arts and Science, Matunga, Mumbai, India.

Key Subjects: Advanced Java, Visual C++, Linux, Data Communication Networks.

TEACHING AND ADVISING EXPERIENCE

Lead Research Engineer - REDX Innocation Lab & Assistant Professor - Research & Business Analytics

2019 - 2022

Welingkar Institute of Management, Matunga, Mumbai, India.

  • Lead in the design, development, and implementation of the projects in the field of Machine Learning, Deep Learning, Signal Processing & Healthcare
  • Delegate tasks to the 5 members of the research team and provide counsel on all aspects of the project.
  • Deliver lectures to postgraduates on emerging technology subjects.
  • Supervise the assessment of postgraduates in order to ensure quality and achieve their academic goals.

Assistant Professor

2018 – 2019

Department of Information Technology, Usha Pravin Gandhi College of Arts, Science and Commerce, Vile Parle, Mumbai, India.

  • Delivered lectures to undergraduates and postgraduates on subject field from basic programming to artificial intelligence.
  • Served as a project adviser for students in their graduates and post graduates research projects

Assistant Professor

2014 – 2018

Department of Computer Science, University of Mumbai, Mumbai, India.

  • Delivered lectures to postgraduates on machine learning
  • Served as a project adviser for students in their post graduates research projects
  • Organised various conferences, workshops and seminars

IT-Consultant

2016 – 2019

Purna Tech-Ventures Private Limited, Mumbai, India.

  • Assisted in implementing a technological solution to meet business needs.
  • Provided advice on technology best practices.
  • Diagnosed IT system problems, inefficiencies and weaknesses.

Publications

Journal Papers

2019

Deolekar S., Abraham S. "Towards Automation of Creativity: A Machine Intelligence Approach". Nature Machine Intelligence. (Submission ready) (arXiv: Read)

2019

Deolekar S., Abraham S. "Harnessing Machine Listening: A case study with instrumental music". Journal of New Music Research. (Under review) (Impact Factor: 1.122)

2018

Deolekar S., Abraham S. "Tree based classification of tabla strokes". Current Science., Volume 115, No. 9, pp. 1724-1731. (Impact Factor: 0.843) Read

Peer-Reviewed Conference Papers

2020

Gawade A., Pandharkar R., Deolekar S. and Salunkhe U., "Early diagnosis of Parkinson’s disease using LSTM: A Deep Learning Approach". 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020). (accepted)

2020

Gawade A., Pandharkar R. and Deolekar S., "GANtoon: Creative cartoon art using Generative adversarial network". 5th International Conference, Information, Communication & Computing Technology,Scopus Indexed Springer CCIS Conference Proceeding of ICICCT 2020. Read

2020

Deshpande A., Deolekar S. and Pandharkar R., "Speech Coach: A framework to evaluate and improve speech delivery" IEEE ICCCSP 2020: 4th International Conference on Computer, Communication and Signal Processing. Read

2018

Deolekar S., Godambe N., Abraham S. Genetic Algorithm to Generate Music Compositions: A Case Study with Tabla. In: Abraham A., Muhuri P., Muda A., Gandhi N. (eds) Hybrid Intelligent Systems. HIS 2017. Advances in Intelligent Systems and Computing, vol 734. Springer, Cham. Read

2016

Deolekar S., Abraham S. Classification of Tabla Strokes Using Neural Network. In: Behera H., Mohapatra D. (eds) Computational Intelligence in Data Mining—Volume 1. Advances in Intelligent Systems and Computing, vol 410. Springer, New Delhi. Read

Academic Services

2020

Reviewed manuscripts for the following journals:

Reviewer, International Conference on Hybrid Intelligent Systems (HIS 2020)

Reviewer, International Conference on Intelligent Systems Design and Applications (ISDA 2020)

Reviewer, International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)

2020

Mentor and Organiser at the MIT India Initiative “DESIGN, TECHNOLOGY & SOCIAL INNOVATION WORKSHOP 2020” held at Prin. L. N. Welingkar Institute of Management Development & Research, Mumbai, India from 21st-25th Jan, 2020.

2020

Member of Syllabus Committee of Bachelors of Science and Masters of Science (Data Science), from academic year 2020, University of Mumbai.

2019

Member of Board of Studies for Bachelors of Science (Information Technology), from year 2019, St. Xavier’s College (Autonomous), Mumbai.

2018

Member of Syllabus Committee for revision of Third Year Bachelors of Science (Computer Science), from academic year 2018-2019, University of Mumbai.

2016

Attended Summer School on “Music Science and Technology Research (MuSTeR) – 2016” held at Indian Institute of Science, Bangalore, India. Topics covered the area of audio and music signal processing, machine learning for music.

2014

Organizing Committee member, International Conference on Computational Intelligence (ICCI’14), held at University of Mumbai.

2011

Organizing Committee member, World Congress on Information and Communication Technologies (WICT’11), held at University of Mumbai.

Invited Talks

2022

Jury for Smart India Hackathon 2022. Smart India Hackathon is a nationwide initiative to provide students with a platform to solve some of the pressing problems we face in our daily lives, and thus inculcate a culture of product innovation and a mindset of problem-solving. Read

2019

Forbes India hosted AI Innovation Round Table - Envisioning innovation for an Alternative Future, in December 2019. I was fortunate to be a part of this discussion. Read more: Regulating AI to preempt a wonderful tool from becoming a powerful weapon Read

2019

Talk on “Machine learning for music composition” at Computer Assisted Music and Dramatics: Possibilities and Challenges (CAMAD:PAC’19) An International workshop on February 25 to 27, 2019 at Department of Computer Science, University of Mumbai, India.

2018

Resource person for One-Day Workshop on T.Y.B.Sc. (Sem VI) Computer Science revised syllabus at the R.D. National College, Bandra, Mumbai. December, 2018. (Subject: Information retrieval)

2018

Resource person for NET/SET Workshop at the South Indian Education Society, New Mumbai. January, 2018. (Subject specialization: Neural Networks, Fuzzy Logic and Operating Systems)

2017

Resource person for NET/SET Workshop at Vidyalankar School of Information Technology (VSIT), Mumbai. October, 2017. (Subject specialization: Neural Networks, Fuzzy Logic and Operating Systems)

2014

Resource person for NET/SET Workshop at Narsee Monjee College of Commerce and Economics, Mumbai. December, 2014. (Subject specialization: Neural Networks, Fuzzy Logic and Operating Systems)

Testimonials

People say the nicest things !

Contact

If you have any questions or need guidance, Kindly contact !

Location:

New Jersey, USA