Projects:

1. Health Tech: SERB: SRG/2021/000559: "Edge Device Deployable Deep Learning Model For Screening Of Diabetic Retinopathy And Glaucoma In Rural India With High F-score" Description: Development of Image data driven domain specific features using statistics based encoder-decoder architecture. Further fine-tuning encoder feature with task specific cost function and multi-scale embeddings. Finally, quantizing and pruning of models for deploying on edge devices to deploy in rural India
   
2.  IIIT-H/IHub/Project|Data Foundation |2024-25|DF-004 "Drone Enabled Deep Learning for Monitoring and Yield Assessment of Commercial Crops." Description: Development of Muti-spectral feature extraction using deep learning models and deployable on Drones Can be adopted for Solar plant and Transmission system monitoring using drones.

PhD Position (2  No )  in the field of AI and Deep learning applications in Sustainable Energy, Health Tech., Agri. Tech.

Courses Taught

• PG/PhD: Deep Learning Foundations for Engineering
  
• UG: Introduction to Machine learning, Embedded systems, Digital Signal Processing, Microprocessors and microcontrollers, Numerical Methods using Python, Solid State Drives and  Planning an Entrepreneurial Venture,             
  

Professional (Work) Experience

• Worked as Post Doc Researcher in Electrical Engineering Department at IIT Kharagpur
  
• Worked as Machine learning expert in Electrical Engineering Researcher

 Publications(1500+ citations)

• Journals(20) 
• Conferences(18)
• Technology: AI, Deep Learning, Deep reinforcement Learning, Gen-AI, Embedded systems, Edge AI
• Applications: DL based Healthcare, Intelligent control for electrical Grid, Energy Disaggregation, etc.,

3. Research Projects: 2 (SERB, IIIT Hyd)
4. Patents: 2 published
   
5. Graduated PhDs:
   1. V.L.N. Sastry,  A Long-Term sequence learning based large-scale Non-Intrusive Load Monitoring (NILM) for energy management in smart building (CEO, Radhanu  Technologies Pvt. Ltd)
   2. Anugula Rajamalliah, Deep reinforcement learning driven control algorithms for effective reference tracking of electrical engineering applications (PostDoc at Huanjiang Laboratory, Zhejiang University)
      
6. Graduated Masters:          1. Sravani : Deep reinfrocement learning based control of PMSM drive           2. Shanmukh: (Executive Trainee- PowerGrid) 
7. Ongoing Ph.D– (Name of the Scholar, Topic, Date of Joining):
   1. Nagakumar: Self-supervised learning based screening of Retinal images which is deployable on Edge Device
      
   2. Rajsekhar: Deep learning based surveillance of Solar panels, wind mills and Electrical assets on transmission lines using drones
   3. Sashank (CoSup): Optical Character recognition in the wild
      
   4. Girish (CoSup): Table extraction from documents & semi supervised based anamoly detection in videos
      
   5.  Sravani (Part-time), Deep Learning based Battery state of charge and Health & Deep reinforcement learning based optimal management of microgrid with high profit
   6. Jewalliddin(Part-time), Deep Reinforcement learning based  Energy Management in Hybrid EV with multiple energy sources
      
   7. Karra Santosh (Part-time); Deep Learning based Image analytics
      
8. Consultancy: NA
   
9. Achievements:
   1. GE Edison Challenge winner 2013 (10 lakhs prize)
   2. BIG Grant Challenge 
      
   3. Plugin Graduate by IIT-B and intel
   4. Mentored winning team of "India Innovation Challenge Design Contest" 
10.  Memberships
    
11. Misc