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Dr. Navneet Goyal

Senior Professor, Department of Computer Science & Information Systems, BITS Pilani, Pilani Campus

AI/ML for Cyber Security, Big Data Analytics, Data Mining, Data Provenance, IoT Data Analytics
Room No: 6121-K, New Academic Building,
Department of Computer Science & Information Systems,
Birla Institute of Technology & Science, Pilani- 333031, Rajasthan. India.

  

AI/ML for Cyber Security

 

  • Detection of malicious websites using ML
  • Detecting threats from android hybrid apps using ML

 

Data Provenance

 

  • Design and Implementation of Zero-information loss databases
  • Data Provenance Models for Relational and Big Data
  • Data Provenance Framework for Graph Databases
 

 

Big Data Analytics

 

  • Design and Implementation of Entire Computing Stack for Big Data Analytics

 

Data Mining

 

 

  • High Performance Computing Framework for Data Mining
    • Parallelization of Data Mining Algorithms
    • Domain Specific Language for Data Mining (DWARF)
    • Parallelizing Compiler for DWARF
  • Mining Multi-variate Time Series data
    • Crop yield prediction
  • Incremental Algorithms for Data Mining
  • Anytime Data Mining

 

IoT Data Analytics

 

  •  Framework for IoT Data Analytics

Funded Research Projects

 

Title Investigators & Collaborators Funding Agency Status
Mechanical Design using AI Prof. Navneet Goyal, Prof. Poonam Goyal, & Dr. Amit Rajnarayan Singh (Mech.) Mercedes-Benz Research & Development, India (MBRDI)
 
Budget : INR 8.00 Lakhs

Year(Duration) :2022 (10 months)

Ongoing
Making data driven quality management accessible to small scale dairy cooperatives in India Prof. Navneet Goyal, Prof. Suman Kapur (Hyd Campus), Prof. Poonam Goyal, Dr. Ashutosh Bhatia

Collaborators :La Trobe University (Australia), IIT Kanpur, SensaData Pty Ltd, & The Product Makers (TPM) Pty Ltd
Govt. of Victoria (Australia) VESKI-SMRP
 
Budget : AUD $ 1,70,000

Year(Duration) :2022 (10 months)

Keywords :Small scale dairy, milk quality, Artificial Intelligence, Spectroscopy, Spatio-temporal Data Analytics
Ongoing
AI Intervened Tribal Development by improving Water Conservation, Livelihood, and Health Prof. S K Barai & Prof. Navneet Goyal Ministry of Tribal Affairs
Budget : INR 147.392 Lakhs

Year(Duration) : 2022 (03 years)
 
 
Keywords : AI, Tribal Development, SCD, NLP, Low Resource Languages, Water Conservation, Earth Observation, Process Analytics
Ongoing
Intent Analysis of Customers Based on Telephonic Conversations Prof. Navneet Goyal & Prof. Poonam Goyal Nucleus Software, Noida
Budget : INR 2.50 Lakhs/ semester

Year(Duration) :2022(1 year)
 
 
Keywords : Voice analytics, Artificial Intelligence, Speaker Diarisation, Spectrograms, Speech to text
Ongoing
Safety solutions for school kids using AI Prof. Navneet Goyal, Prof. Poonam Goyal & Dr. Manish Dave Industry Funded
 
Budget : INR 21.75 Lakhs ($ 29,000)

Year(Duration) : 2021(1 year)

Keywords :Artificial Intelligence, Deep Learning, Anomaly Detection, Video Analytics, Sound Analytics, Person Re-identification, IR-NIR imaging, HAR
Ongoing
Collating & Analyzing Multi-modal, Multi-lingual data for reducing Wildlife Crime Prof. Poonam Goyal & Prof. Navneet Goyal

Collaborator : Wildlife Conservation Society (WCS), Bangalore
Google Inc. – Google AI for Social Good
 

Budget : USD$10,000

Year(Duration) :2021(1 year)

Keywords : Multi-modal Learning, Multi-lingual learning, NLP, Earth Observation, GIS, Satellite imaging, Artificial Intelligence,
Ongoing
A New Distributed Computing Framework for Data Mining Prof. Navneet Goyal, Prof. Poonam Goyal & Prof. Sundar B

Collaborator : Indian Agricultural Statistics Research Institute (IASRI), New Delhi
Ministry of Electronics and Information Technology(MEITY), Govt. of India.

Budget :INR 1.20 Cr.($1,60,000)

Year(Duration) : 2012 (3.5 years)
 
 
Keywords : Automatic Parallelization, DSL, Parallelization on multicore clusters, AI, ML, Clustering, Automatically Parallelizing Compiler
Completed
Developing a Smart Crop Management System using Data Analytics Prof. Navneet Goyal, Prof. Poonam Goyal & Dr. Anil Rai (IASRI)

Collaborator :Indian Agricultural Statistics Research Institute (IASRI), New Delhi
IBM – Smarter Planet Initiative
 
Budget : USD$15,000

Year(Duration) :2010(open -ended)

Keywords :Crop yield prediction, Early prediction, multi-variate time series, Spatio-temporal data, multi-stage classification
Completed