Dr. Deepak Garg

Professor and Head, Computer Science Engineering, Bennett University

Head, NVIDIA-Bennett Research Centre for Artificial Intelligence

  • Chair, IEEE Computer Society, India Council
  • Funded by Royal Academy of Engineering for Mini-MOOC Project
  • Research Area : Deep Learning Algorithms and complexity, Machine Learning and Data Analytics
  • 20 Years of rich experience in Engineering Education.

Conferences Conducted

IEEE 7th International Conference on Advanced Computing (IACC-2018)

IEEE 7th International Conference on Advanced Computing (IACC-2018) at Bennett University, Greater Noida on December 14-15, 2018.

5th International Conference on Transformations in Engineering Education (ICTIEE’18)

5th International Conference on Transformations in Engineering Education (ICTIEE’18) at Bennett University, Greater Noida on January 4-6, 2018.

IEEE 1st International Conference on Machine Learning and Data Science (ICMLDS-2018)

IEEE 1st International Conference in International Conference on Machine Learning and Data Science (ICMLDS-2018) at Bennett University on December 14-15, 2018.

Memberships of
Professional / Engineering / Research organisations at
International / National Level

Member, Computer Science Criteria Committee
for ABET CAC Criteria
From October 2016 to October 2017.

Member, Education Activity Board
IEEE Committee on Global Accreditation Activities
From January 2016 to December 2016.

Member, Board of Governors
IEEE Education Society
From January 2015 to December 2016

Workshops Conducted

  1. Conducted a five day workshop on "Big Data Analytics and Deep Learning" at Bennett University, Greater Noida from 16-20 December, 2017 with 180 participants from Engineering Institutions.

  1. Workshop on ABET Accreditation and Program Assessment Workshop sponsored by ABET and IEEE Education Society, India Council at New Delhi on August 30, 2015.

  1. International Workshop on Machine Learning Algorithms and Data Analytics sponsored by ACM India Council, IEEE Computer Society IC, IEEE Education Society IC, Infosys Ltd at Thapar University, Patialafrom June 3-13, 2014.

Research Projects

Newton Bhabha Research Project by Roayal Academy of Engineering, UK

Newton Bhabha Research Project by Roayal Academy of Engineering, UK with a Total Budget of 100 Lac INR The objective of the project is to enhance the capacity of the teachers to improve the education delivery experience. The Project involves design and development of four mini-MOOCs. Two of these will be on (i) How to design MOOC Content (ii) MOOC Life Cycle (Inception to Delivery). Then there will be two more modules to demonstrate the best practices with the help of two popular topics. Innovative Pedagogy to deliver these mini-MOOCs will be designed and evaluated. It will help to suggest the best practices for further Mini-MOOCs to be developed. In the first phase Lead UK and Lead Indian institution will partner to develop these modules. In the next action India has been divided into 11 zones and mentor institutions have been chosen, who will be trained on these techniques and they will be further guided to develop more mini-MOOCs. These institutions will also act as a laboratory to implement these four developed modules in their classrooms and give the feedback to further enhance the pedagogy for future Mini-MOOCs. These institutions will further train 10-15 institutions in their zone. Project will involve train-the -trainer workshops for the management, faculty and the designers. It will result in a significant hand-holding of Tier-2/3 Institutions who want to progress in providing the quality in higher education and want to embrace the latest techniques in education delivery. It will result in driving technology enhanced education adoption in Universities. It will also help in creating a network of instructors committed to take the higher education in India to next level of excellence. The project has direct consequences on the National projects like Skill India, Digital India and Start-Up India. The learning from the project can easily be translated to new frontiers to upscale the impact of the project.

DST Research Project on Tox2020

DST Research Project on Tox2020: Toxicity Prediction of pre clinical trial drug using Physicochemical Properties and Machine Learning Approaches. The project is approved at a total cost of Rs. 24 Lakhs. The objective of the project is to develop better toxicity assessment features, methods and algorithms along with better data structures to handle the big data. To create new methods for assessing chemical toxicity which will have the potential to improve the procedure followed by scientists to evaluate environmental chemicals and develop new medicines.To develop a framework to quickly and efficiently test certain chemical compounds for their probable chances to disrupt processes in the human body.To develop a stand-alone and/or web-based application(s) that helps the researchers and research community to predict the toxicity of the newly discovered chemical compound ECR/2015/000150

Pattern Discovery using DNA sequences

Completed AICTE Research Project on Pattern Discovery using DNA sequences. The project was assigned at a total cost of Rs. 11 Lakhs. The objective of the product was to enhance available tools used in Bioinformatics Sequences. It developed new algorithms for data mining in Bioinformatics Sequences. File Number: 8022/RID/NPROJ/RPS41/200304/22.03.04