Research Scholar (2020 - Present)
Industrial Engineering and Operations Research
IIT Bombay
Office: PhD lab, Third Floor, IEOR buildiing, IIT Bombay,
Powai, Mumbai, Maharashtra - 400076
Email: pranav[dot]mac[at]iitb[dot]ac[dot]in
pranav[dot]machingal6[at]gmail[dot]com
CV: Link
Supervisor: Prof. Nandyala Hemachandra, Prof. Petety V. Balaji
Research Interest
Protein Bioinformatics, Machine Learning Theory, Deep Learning
Academic Background
B.Tech. Computer Science & Engineering, NIT Goa
Awards and Fellowships
- Prime Minister's Research Fellow (PMRF), May 2021 - Present
Teaching and TAship
- IE 609: Optimization Techniques (Autumn 2021). Instructor: Prof. A. Mahajan
- IE 684: IEOR Lab (Spring 2022). Instructors: Prof. P. Balamurugan, Prof. N. Hemachandra
- Machine Learning Lab (Spring 2022) (PMRF Duty). T.Y. B.Tech. VJTI Mumbai. Instructor: Prof. S. C. Shrawne
- IE 609: Optimization Techniques (Autumn 2022). Instructor: Prof. A. Mahajan
- IE 663: Advanced Topics in Deep Learning (Spring 2023). Instructor: Prof. P. Balamurugan
- NOC23-MA24: Probability and Statistics (NPTEL PMRF TA)
- IE 622: Probability and Stochastic Processes (Autumn 2023). Instructor: Prof. K.S. Mallikarjuna Rao
- NOC23-EE131: Deep Learning (NPTEL PMRF TA)
- IE 620: Reinforcement Learning Algorithms (Spring 2024). Instructor: Prof. N. Hemachandra
- NOC24-ME56: Optimization from fundamentals (NPTEL PMRF TA)
Courses
- Credited: IE 609 Mathematical Optimisation Techniques, IE 621 Probability and Stochastic Processes I, IE 683 Topics in Learning Algorithms, IE 718 Networks, Games and Algorithms, IE 684 IEOR Lab, IE 663 Advanced Topics in Deep Learning, IE 622 Probability and Stochastic Processes II, IE 614 Linear Systems, CS 772 Deep Learning for Natural Language Processing, CS 768 Learning with Graphs, CS 663 Fundamentals of Digital Image Processing, IE 716 Integer Programming: Theory and Computations
- Audited: BB 413 Biochemistry, SI 536 Analysis of Multi-Type and Big Data, BB 410 Bioinformatics - I Lab