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Faculty details

Prof.PANTULA DEVI PRIYANKA

Designation: Assistant Professor

Department: Chemical Engineering

Email: pantula[at]iitism[dot]ac[dot]in

Contact Number:

Office Number: +91-326-223-5797

Personal Page: Under Construction

About Me: I am working as an Assistant Professor in the Department of Chemical Engineering at IIT (ISM) Dhanbad. I have 2 ongoing projects worth 45,00,000 INR. I have completed my PhD from IIT Hyderabad, specialising in Unsupervised Deep Learning strategies for application in Process Systems Engineering (PSE). During my 7-year research tenure, I worked towards the development of three novel generic technologies, namely, KERNEL, NFCM, and DRIFT/DDCCP, which are capable of handling unlabeled data coming from any domain and solving Stochastic Optimization problems along with the application of Fuzzy Logic theory. I successfully implemented novel algorithms in solving 7 industrial problems ranging from Systems Biology, Optimization of Polymerization systems, Steelmaking, Wind energy conversion systems, and cloud computing to Supply Chains through several interdisciplinary collaborations in and outside India. For a period of 6 months during my PhD tenure, I worked as an intern at TCS Innovation Labs, Pune, on a project titled Dynamic Resource Management in Cloud Computing. I am open to working in a collaborative environment, which will give me an opportunity to apply my skillset and thereby contribute to the growth of the organisation.

Research Interest: Deep Learning/Machine Learning, Nonlinear Multi-Objective Optimization, Optimization under uncertainty, Generative Modeling, Fuzzy Logic, Surrogate Optimization, Evolutionary algorithms, with applications in Process Systems Engineering, Operations Research, Climate Change, Renewable Energy and Computational Biology.

Teaching

Course Code	Course Name	Semester	Taught/ Ongoing	Theory/ Lab
CHD504	Process Optimization	Winter, 2021-22	Taught	Theory
CHC518	Research Methodology	Winter, 2021-22	Taught	Theory
CHC309	Process Simulation Lab	Winter, 2021-22	Taught	Lab
CHC302	Chemical Kinetics & Reaction Engineering	Monsoon, 2022-23	Taught	Theory
CHD408	Process Data Analytics	Monsoon, 2022-23	Taught	Theory
CHD504	Process Optimization	Winter, 2022-23	Taught	Theory
CHC309	Process Simulation Lab	Winter, 2022-23	Taught	Lab
CHC520	Applied Statistics in Chemical Engineering	Monsoon, 2023-24	Taught	Theory
CHD408	Process Data Analytics	Monsoon, 2024-25	Taught	Theory
CHC309	Process Simulation Lab	Monsoon, 2024-25	Taught	Lab

Academics

2021	Ph.D. Chemical Engg.	Indian Institute of Technology Hyderabad
2016	M.Tech. Chemical Engg.	Indian Institute of Technology Hyderabad
2014	B.Tech. Chemical Engg.	JNTU-K Affiliated

Position

Assistant Professor, Department of Chemical Engineering, IIT (ISM) Dhanbad Dec 2021 - Present

Senior Algorithm Engineer, Rapiscan, OSI Systems, Hyderabad Aug 2021 – Dec 2021

Awards and Honors

Worked as an intern in the industrial project “Dynamic Resource Management in Cloud Computing” at Tata Research Development and Design Center (TRDDC), Pune, for a period of 6 months (Jan 2020 – Jun 2020).
Worked as a Research Fellow in DBT sponsored project titled “Development of computational software integrating multilevel image data analysis: Towards efficient clinical practices and advanced biomolecular research in ophthalmology” at IITH in 2019.
Received the Research Excellence award for 2020 in the Department of Chemical Engineering, IIT Hyderabad, during the 12th Foundation Day of IITH.
Received the Scholarship given by Indian Railways for securing 81.62% in Bachelor of Chemical Engineering in 2014.

Publications

Books Published

Mitra, K. Optimization, Uncertainty and Machine Learning in Wind Energy Conversion Systems. Springer Nature.
Pantula, P. D., Miriyala, S. S. and Mitra, K., 2018. Efficient Optimization Formulation Through Variable Reduction for Clustering Algorithms. In Handbook of Research on Emergent Applications of Optimization Algorithms (pp. 135-162). IGI Global.
Pantula, P. D., Miriyala, S. S., & Mitra, K. 2023. Stochastic optimization of industrial grinding operation through data-driven robust optimization. In Statistical Modeling in Machine Learning (pp. 249-267). Academic Press.

List Of Research Publications (only in Peer-reviewed Journals)

Pantula, P. D., Fazal Md., Comparison of Dynamic Data-based models for Froth Flotation process, Minerals Engineering (Under-review).
Gumte, K., Pantula, P. D., Soumitri M. S., Mitra, K., Achieving Wealth from Bio-Waste in a Nationwide Supply Chain Setup under Uncertain Environment through Data Driven Robust Optimization Approach, Journal of Cleaner Production, 2021 Jan 8; 291: 125702.
Sharma, S., Pantula, P. D., Soumitri M. S., Mitra, K., A Novel Data-driven Sampling Strategy for Optimizing Industrial Grinding Operation under Uncertainty using Chance Constrained Programming, Powder Technology, Jan 2021; 377: 913-923.
Gumte, K., Pantula, P. D., Miriyala S. S., Mitra, K., Data Driven Robust Optimization for Handling Uncertainty in Supply Chain Planning Models, Chemical Engineering Science, 2021 Dec 31; 246: 116889.
Kankanamge, D., Ubeysinghe, S., Tennakoon, M., Pantula, P. D., Mitra, K., Giri, L., Karunarathne, A., Dissociation of the G protein βγ from the Gq–PLCβ complex partially attenuates PIP2 hydrolysis, Journal of Biological Chemistry, 2021 Jan; 296: 100702.
Pantula, P. D., Mitra, K., Towards Efficient Robust Optimization using Data based Optimal Segmentation of Uncertain Space, Reliability Engineering & System Safety, 2020 May 1;197:106821.
Pantula, P. D., Miriyala, S. S., Mitra, K., An Evolutionary Neuro-Fuzzy C-means Clustering Technique, Engineering Applications of Artificial Intelligence, 2020 Mar 1;89:103435.
Inapakurthi, R. K., Pantula, P. D., Miriyala S. S., Mitra, K., Data driven robust optimization of grinding process under uncertainty, Materials and Manufacturing Processes, 2020 Dec 9; 35(16):1870-1876.
Pantula, P. D., Mitra, K., A data-driven approach towards finding closer estimates of optimal solutions under uncertainty for an energy efficient steel casting process, Energy, 2019 Oct 7; 189: 116253.
Swain, S., Gupta, R. K., Ratnayake, K., Pantula, P. D., et al. Confocal imaging and k-means clustering of GABAB and mGluR mediated modulation of Ca2+ spiking in hippocampal neurons, ACS chemical neuroscience, 2018 Jul 25; 9(12), 3094-3107.
Pantula, P. D., Miriyala, S. S., Mitra, K., KERNEL: enabler to build smart surrogates for online optimization and knowledge discovery, Materials and Manufacturing Processes, Genetic algorithms special issue, 2017 Jul 27; 32(10):1162-71.
Gupta, R. K., Swain, S., Kankanamge, D., Pantula, P. D., et al. Comparison of Calcium Dynamics and Specific Features for G Protein– Coupled Receptor–Targeting Drugs Using Live Cell Imaging and Automated Analysis, SLAS DISCOVERY: Advancing Life Sciences R&D, 2017 Aug; 22(7):848-858.

Papers in conference abstract volumes / presented

Pantula, P. D., Dynamic Data-based Modeling for the Froth Flotation Process. In 2024 Tenth Indian Control Conference (ICC). IEEE. (accepted)
Analytics Pipeline for Visualization of Single Cell RNA Sequencing Data from Brochoaveol-ar Fluid in COVID-19 Patients: Assessment of Neuro-Fuzzy C-Means and HDBSCAN. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE.
Pantula, P. D., Miriyala, S. S., & Mitra, K., 2021, December. A Deep Unsupervised Learning Algorithm for Dynamic Data Clustering. In 2021 Seventh Indian Control Conference (ICC) (pp. 147-152). IEEE.
Ramamurthy A., Pantula, P. D., Gharote M, Lodha S., and Mitra, K., 2021, April. Multi-Objective Optimization for Virtual Machine Allocation in Computational Scientific Workflow under Uncertainty. In 2021 11th International Conference on Cloud Computing and Services Science (CLOSER). Virtual conference, (pp. 240-247).
Pantula, P. D., et al. 2020, December. Synchronicity Identification in Hippocampal Neurons using Artificial Neural Network based Fuzzy C-means Clustering. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI). Canberra, Australia, IEEE.
Pantula, P. D., Miriyala, S. S., et al. 2019, December. Automation of Synchronicity Identification in Hippocampal Neurons through Intelligent Data Clustering Approach. In 2019 Sixth Indian Control Conference (ICC) (pp. 268-273). IEEE.
Gumte, K. M., Pantula, P. D., Miriyala, S. S. and Mitra, K., 2019, December. Data Driven Robust Optimization for Supply Chain Planning Models. In 2019 Sixth Indian Control Conference (ICC) (pp. 218-223). IEEE.
Pantula, P. D. and Mitra, K., 2019, June. An Evolutionary Machine Learning Approach Towards Less Conservative Robust Optimization. In 2019 IEEE Congress on Evolutionary Computation (CEC) (pp. 2990-2997). IEEE.
Pantula, P. D., Miriyala, S. S. and Mitra, K., 2019, January. A Novel ANN-Fuzzy Formulation Towards Evolution of Efficient Clustering Algorithm. In 2019 Fifth Indian Control Conference (ICC) (pp. 254- 259). IEEE.
Pantula, P. D., Miriyala, S. S. and Mitra, K., 2019, January. A Chance Constrained Programming Based Multi-Criteria Decision Making Under Uncertainty. In 2019 Fifth Indian Control Conference (ICC) (pp. 359-364). IEEE.
Swain, S., Pantula, P. D., et al., 2018, July. Confocal imaging of cytosolic Ca 2+ and fuzzy clustering reveal the circuit topology details underlying synchronization in hippocampal neurons. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 822-825). IEEE.
Miriyala, S. S., Pantula, P. D., et al., 2018, July. Smart Data Analytics approach to model Complex Biochemical Oscillations in Hippocampal Neurons. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 5045-5048). IEEE.
Pantula, P. D., Miriyala, S. S. and Mitra, K., 2017, January. Simultaneous knowledge discovery and development of smart neuro-fuzzy surrogates for online optimization of computationally expensive models. In 2017 Indian Control Conference (ICC) (pp. 260-267). IEEE.
Miriyala, S. S., Pantula, P. D., Majumdar, S. and Mitra, K., 2016, January. Enabling online optimization and control of complex models through smart surrogates based on ANNs. In 2016 Indian Control Conference (ICC) (pp. 214-221). IEEE.

Projects & Activities

Membership of Scientific Societies

Member of the board of governors for the Department of Chemical Engineering, MVGR College of Engineering, Vizianagaram, Andhra Pradesh since 2023.
Member of the editorial board of the American Journal of Applied Scientific Research and section editor for Sage Open Journal since 2023.

Other Academic and Administrative Activities

Member of the training and placement committee in the Department of Chemical Engineering, IIT (ISM) Dhanbad from September 2024.
Regular tutor for the Training Program on Data Science and Artificial Intelligence, certified by Intellipaat, IIT-Madras, and GITAA since May 2022.
Delivered a two-day virtual lecture in Tata Steel (Jamshedpur) for the Training Program on Data Analysis & Modeling, upon invitation by Prof. Kishalay Mitra (IIT Hyderabad), in July 2022.
Resource person for the winter school on Optimization, Machine Learning, and Optimal control organized by the College of Engineering Pune in December 2019.
Designed a new Departmental core course on Applied Statistics in Chemical Engineering for postgraduate level students during the Monsoon Semester, 2022-23 at IIT (ISM) Dhanbad.
Member of the PG Committee in the Department of Chemical Engineering from October 2022 to October 2024 at IIT (ISM) Dhanbad.
Member of the Organizing Committee for the International Conference on “Net-Zero Emission Technologies for Sustainable Development: Challenges and Opportunities (N0ET - 2022)”, in December 2023, organized by IIT (ISM) Dhanbad in association with DSIR, Ministry of Science and Technology, and TEXMiN foundation, IIT (ISM) Dhanbad.
Member of the Organizing Committee for the National Workshop on “Low-Cost Bio-Coal Technologies & its Potential Impact on Steel Industries”, in May 2022, organized by IIT (ISM) Dhanbad and DSIR, Ministry of Science and Technology, Government of India.
Member of the Anti-Ragging Squad Committee, 2022 and 2023 for the Students Welfare at IIT (ISM) Dhanbad.
Member of the Organizing team for the International SPARC workshop on “Wind-farm Layout Optimization under uncertainty using Bayesian Optimization & Machine-Learning models” organized by University of Exeter, UK and IIT Hyderabad, India in August 2021.
Member of the Organizing team for the “Sixth Indian Control Conference (ICC 2019)” organized by the IEEE Control Systems Society.
Member of the Organizing team for the Sixth National Research Symposium of Chemical Engineers, “ChEmference 2015,” organized by IIT Hyderabad.
Member of the Organizing Committee for the Regional Level event “The Inter-Collegiate Hindu E-Plus Club Challenge 2012,” organized by The Hindu at MVGR College of Engineering.

Guidance

1) N. RajKumar, M.Tech, 2022-2024

2) Naman Dudeja, M. Tech, 2023-2025.

3) Nidhi Yadav, B.Tech, 2019-2023.

4) Krishan Kumar, B.Tech, 2019-2023.

In brief -

Mentored 2 undergraduate and 1 postgraduate student in topics such as machine learning for application in Process Systems Engineering (such as detection of natural gas leaks, surrogate assisted optimization), and Data-based modelling in mineral recovery.
Mentoring 1 postgraduate student in the field of optimal control studies for froth flotation process using Reinforcement Learning along-with real-time validation at lab scale.
Mentoring 3 undergraduate students in the field of Bayesian optimization, deep learning in Process Systems Engineering and data-driven optimization under uncertainty using generative modeling.
Mentored 1 Junior Research Fellow (as a part of project manpower) in the area of data generation and analysis for mineral recovery studies using computer vision and deep learning.

The lab is open to taking PhD candidates.

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