Dr. Lalu Seban

April 20, 2022 by Lalu Seban
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S.H. Laskar
Assistant Professor Grade – I
Email: seban@ei.nits.ac.in
Date of Joining: 16/01/2013
Academic/Industrial Experience: 10+ years
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Academic Qualifications

  • B. Tech. from College of Engineering Kidangoor, Cochin University of Science & Technology, Cochin, Kerala, India (2005-09)
  • M.Tech. from National Institute of Technology Tiruchirappalli, Tamil Nadu, India (2010-12)
  • Ph.D. from National Institute of Technology Silchar, Assam, India (2013-18)

Experience

  • Assistant Professor Grade-I (Level – 12 / 8000 AGP) at NIT Silchar from 6 August 2022. 
  • Assistant Professor Grade-II (Level – 11 / 7000 AGP) at NIT Silchar from 22 November 2019 to 5 August 2022.
  • Assistant Professor Grade-II (Level – 10 / 6000 AGP) at NIT Silchar from 16 January 2013 to 21 November 2019.
  • Assistant Professor (6000 AGP) at St. Joseph’s College of Engineering & Technology, Palai from 11 June 2012 to 10 January 2013. 

Research Interest

  • Process Modeling, Control, and Optimization
  • Engineering of Sustainable Food Production – Aquaponic System
  • Theoretical Modeling of New generation Solar Energy Materials and Cells
  • Data-driven Control
  • System Reliability Analysis using Statistics and AI

Short Biographical Sketch

Dr. Lalu Seban completed his schooling at Jawahar Navodaya Vidyalaya, Kottayam, Kerala in 2005. He obtained his B.Tech. degree in Electronics and Instrumentation Engineering from College of Engineering Kidangoor, Cochin University of Science & Technology in 2009. He received his M.Tech. degree from NIT Trichy in 2012.

From June 2012 to January 2013, Dr. Lalu Seban worked as an Assistant Professor in the Department of Applied Electronics & Instrumentation Engineering, St. Joseph’s College of Engineering & Technology, Palai, Kerala. On 16 January 2013, he joined the department of Electronics & Instrumentation Engineering, NIT Silchar as an Assistant Professor (AGP 6000). In July 2013 he also started his Ph.D. work under the guidance of Prof. Binoy K. Roy, Department of Electrical Engineering, NIT Silchar. He successfully defended his Ph.D. thesis on July 2018.

On 22 November 2019, Dr. Lalu Seban got promoted to Level – 11 and on 6 August 2022, he got promoted to Level – 12.

Three Ph.D. scholars are actively working with Dr. Lalu Seban now – Miss. Pragnaleena Debroy, Mr. Soumik Chakraborty, and Mr. Tapan Barman.

The family of Dr. Lalu Seban includes his wife, Dr. Jisha Francis, and daughter, Evania.

Subjects Taught

  • Control Systems
  • Modern Control System
  • Digital Control System 
  • Process Control Engineering
  • Soft Computing
  • System Identification

Professional Memberships

  • Member, IEEE
  • Member, ACDOS

Administrative Responsibility (Active)

  • Secretary, Department Post Graduate Program Committee (DPPC), Dept. of  EIE
  • Member, Department Purchase Committee (DPC), Dept. of EIE
  • Faculty Advisor, INSEES, EIE Student Society
  • Member, NITS Health Centre Monitoring Committee

Publications

Journals

  1. Chakraborty Soumik, Ranjith G. Nair, and Lalu Seban. “Development and validation of an improved model for Dye-Sensitized Solar Cell and estimation of the optimum design parameters for maximum performance”. Optik, Elsevier (2022) (Accepted).
  2. Namita Boruah, Lalu Seban, B. K. Roy, “Nonlinear Model Predictive Control in Quadruple Tank System: An Event Triggered Approach”, Journal of Advance Research in Dynamical & Control Systems, 10 (03), (2018): 179-185.
  3. Namita Boruah, Lalu Seban, and B. K. Roy, “Design and performance comparison of different predictive controllers for magnetic levitation system”, International Journal of Control Theory and Applications, 9, (2016): 103-110.
  4. Lalu Seban, Namita Boruah, and B. Roy. “Development of FOPDT and SOPDT model from arbitrary process identification data using the properties of orthonormal basis function.” International Journal of Engineering and Technology (UAE) 7 (2018): 77-83.
  5. Lalu Seban, V. Kirubakaran, B. K. Roy, and T. K. Radhakrishnan. “GOBF-ARMA based model predictive control for an ideal reactive distillation column.” Ecotoxicology and environmental safety, Elsevier 121 (2015): 110-115.

Conference Proceedings

  1.  Debroy, Pragnaleena, and Lalu Seban. “A Tomato Fruit Biomass Prediction Model for Aquaponics System Using Machine Learning Algorithms.” IFAC-PapersOnLine 55.1 (2022): 709-714.
  2. Ammu Prameela Nandakumar, Lalu Seban, Rajesh Joseph Abraham, and M. V. Dhekane,“LQG Controller for Load Relief control of a Flexible Launch Vehicle”, IEEE Region 10 conference – TENCON, (2019).
  3.  Ammu Prameela Nandakumar, M. V. Dhekane, Rajesh Joseph Abraham, and Lalu Seban, “LQG Controller for Load Relief in the combined Rigid Body and Flexibility Model of a Launch Vehicle”, International Conference on Intelligent Computing, Instrumentation and Control Technologies, Kerala, IEEE, (2019).
  4.  Sukanyathara J., Lalu Seban, “A climate-invariant intelligent real-time system to recognise and report road accidents”, In IEEE Region 10 Symposium (TENSYMP), 2017, IEEE, 1-5, (2017).
  5.  Lalu Seban, Namita Boruah, B.K. Roy, “Modified Single Layer Economic Model Predictive Control and Application to Shell and Tube Heat Exchanger”, 4th IFAC Conference on Advances in Control and Optimization of Dynamical Systems, ACODS 2016, Tiruchirappalli, IFAC-PapersOnLine, Elsevier, 49 (1), 754-759, (2016).
  6.  Lalu Seban, and B. K. Roy, “Combining deterministic generalized orthonormal basis filters with stochastic ARMA filters: A state space approach”, In 34th Chinese Control Conference (CCC) 2015, IEEE, 1867-1872, (2015).
  7.  Lalu Seban, Narayan Sahoo, and B. K. Roy, “Multiple model based predictive control of magnetic levitation system”, In Annual IEEE India Conference (INDICON) 2014, IEEE, 1-5, (2014).

Book Chapter

  1. Debroy, Pragnaleena, and Lalu Seban. “A Fish Biomass Prediction Model for Aquaponics System Using Machine Learning Algorithms.” Machine Learning and Autonomous Systems. Springer, Singapore, 2022. 383-397.
  2. Chakraborty, Soumik, Ranjith G. Nair, and Lalu Seban. “Parameter Extraction of Dye-Sensitized Solar Cell: Improved Method and Comparative Analysis.” Communication and Control for Robotic Systems. Springer, Singapore, 2022. 341-354.
  3. Chakraborty, Soumik, Ranjith G. Nair, and Lalu Seban. “Dye Sensitized Solar Cell Parameter Extraction Using Particle Swarm Optimization.” Modeling, Simulation and Optimization. Springer, Singapore, 2021. 287-295.
  4. Kumar, P. Mathan, Abinash Das, Lalu Seban, and Ranjith G. Nair. “Fabrication and life time of perovskite solar cells.” Perovskite Photovoltaics. Academic Press, 2018. 231-287.
  5. Lalu Seban and Binoy K. Roy. “Development of Parsimonious Orthonormal Basis Function Models Using Particle Swarm Optimisation.” Computational Intelligence: Theories, Applications and Future Directions-Volume I. Springer, Singapore, 2019. 553-563.

Workshops Organized

  • Coordinator of TEQIP-III sponsored one week workshop: ‘Industrial Approach to Process Control & Automation’, NIT Silchar (Experts from ISRO, IITs, IOCL, NAL) from 22/08/2019 to 26/08/2019 (One week).
  • Co-coordinator of GIAN course 161031K02: ‘State of the Art Computational Methods and Software for Computer-Aided Control Systems Design’ (Prof. Biswa Nath Datta, Northern Illinois University, USA) from 01/12/2016 to 11/12/2016 (2 weeks).
  • Coordinator of Workshop: ‘Fuzzy Sets and Fuzzy Logic’, (Prof. A. Deshpande, Berkeley Initiative in Soft Computing, CA, USA)  from 02/02/2015 to 06/02/2015 (One week).

Conference Organized

  • Organizing Chair, Second International Conference on Emerging Electronics and Automation (E2A 2022), 16-18 December 2022.
  • Joint Convener of the 28th National Conference on Condensed Matter Physics – CMDAYS2020, 11-13 December 2020

Ph.D. Supervision

Sl.   Name of the Scholar Status Thesis Title Supervision
1. Pragnaleena Debroy Ongoing Modeling, control and Optimization of Aquaponic System for Sustainable Production Sole Supervisor
2. Soumik Chakraborty Ongoing  Theoretical Modeling and Design optimization of New Generation Solar Cells Main Supervisor
3. Tapan Barman Ongoing Data-driven Control of Multivariable Systems Main Supervisor

M.Tech. Supervision

Sl.   Name of the Scholar Dissertation Topic Status Year
1. Narayan Sahoo (1223206) Design and Performance Analysis of MPC for Magnetic Levitation System  Completed 2013-14
2. Namita Boruah (1323211)  Takagi-Sugeno Fuzzy and Neural Network-based Model Predictive Control  Completed 2014-15
3. Rudra Prasad Martha (1323215) Closed Loop Identification and Model Predictive Control of Shell & Tube Heat Exchanger  Completed 2014-15
4. Divakar Kumar (1526105) Orthonormal Basis Function Modelling and Applications in Decentralized Control  Completed 2016-17
5. Ariful Mashud (1526106) Dynamic Economic Model Predictive Control  Completed 2016-17
6. Seema (1626108) Control of Rotary Inverted Pendulum Completed 2017-18
7. Suman Kumar (1626109)  Blood Pressure Measurement using Portable Sensor  Completed 2017-18
8. Ammu Prameela Nandakumar (1726110) LQG Controller for Load Relief control of a Flexible Launch Vehicle Completed 2018-19
9.  Shiv Shankar Sinha (2025104) Electrothermal Modeling of Lithium Ion Batteries  Completed 2021-22