Areas of Interest: Operations Research, Statistical analysis, Industrial Engineering, Data Science
Education: M.E, Ph.D.
E-mail: kedarilal.dhaker@juet.ac.in
Contact No. : 08109810328
Dr. Kedari Lal Dhaker earned his B.E. in Mechanical Engineering from M.I.T.S., Gwalior (Govt Added Deemed University) in 2006, followed by an M.E. in Production Engineering from Delhi Technological University (DTU), New Delhi in 2008. He later completed his Ph.D. in Production Engineering from Jaypee University of Engineering and Technology (JUET), Guna in 2020.
He began his professional career with Tata Consulting Engineers Ltd. (TCE), one of India’s leading engineering consulting firms, as a Trainee Engineer–Mechanical. At TCE, he played a pivotal role in the design, execution, and commissioning of large-scale industrial projects, including the De-dusting System, Primary Coke Gas Cooling Plant, Tar Precipitation System, Gas Cleaning Plant, and Gas Exhauster System at Tata Steel’s Jamshedpur and Kalinganagar plants, two of the world’s premier steel manufacturing facilities. Over five years with the TATA Group, he advanced to the position of Senior Engineer–Mechanical before transitioning to academia in 2013.
Since then, Dr. Dhaker has been associated with JUET, Guna, where he currently serves as an Assistant Professor (Senior Grade) in Mechanical Engineering. Alongside his academic and research pursuits, he has actively expanded his expertise in data science and analytics, securing Silver Certificates (Topper) in highly regarded IIT-NPTEL courses, including Data Science for Engineers, Python for Data Science, Advanced Graph Theory, and Statistical Learning.
To further strengthen his interdisciplinary knowledge, Dr. Dhaker has also completed several international certifications, such as:
· The Power of Statistics – Google Certification course (2025)
· Introduction to Statistics – Stanford University, USA (2021)
· Programming for Everybody (Getting Started with Python) – University of Michigan, USA (2021)
· The Data Scientist’s Toolbox – Johns Hopkins University, USA (2020)
· Data Science Math Skills – Duke University, USA (2020)
· Basic Statistics – University of Amsterdam, Netherlands (2020)
These academic achievements and professional credentials reflect his strong interdisciplinary foundation and his commitment to integrating data-driven insights with engineering applications to address emerging challenges in technology and industry.
Research Paper Publications: ORCID ID: https://orcid.org/0000-0003-3659-6793
1. Sunil Kumar Srivastava, Kedari Lal Dhaker, Manoj Dubey, Advances in synthesis and
characterization of bionanomaterials by using artificial intelligence and machine
learning techniques: A critical review, NEXRES 4 (2026) 101257, (Scopus)
2. Kedari Lal Dhaker, Mahakant Sharma, Arun Balmiki, Parametric study of laser
drilling process using multi variable regression analysis, Journal of Polymer and
Composites, )Aceepted- 2025 (WOS)
3. Kedari Lal Dhaker, Yashwant Modi, Data-driven modeling and optimization for recast
layer in electric discharge drilling of Inconel-718 material, Journal of
Micromanufacturing, 8(2) 144-154 (2025), (Scopus)
4. Sunil Kumar Srivastava, Kedari Lal Dhaker, Data-driven approach for synthesizing,
characterization, and experimental investigation of biomass-based plastic, Next
Materials 8 (2025) 100596, (SCIE, 2025)
5. Sunil Kumar Srivastava, Kedari Lal Dhaker, Data-driven approach for Cu recovery
from hazardous e-waste, Process Safety and Environmental Protection, 183 (2024)
665-675. (SCI, impact factor-6.9).
6. Kedari Lal Dhaker, Kartik Bhilala, Honey Kishor Sharma, Pooja Bhil , Experimental
investigation of hole geometry during electric discharge drilling of aerospace material
sheet” Materials Today: Proceedings, 78(3) (2023) 570-579 (Scopus).
7. Kedari Lal Dhaker and Arun Kumar Pandey, “Particle Swarm Optimisation of Hole
Quality Characteristics in Laser Trepan Drilling of Inconel-718”, Defence Science
Journal, 69(1) (2019) 37- 45 (SCI, impact factor-0.667).
8. K.L. Dhaker and A.K. Pandey, “Multi-objective Optimization in Laser Trepan Drilling
of Inconel-718 Sheet by Using a Genetic Algorithm (GA)”, Lasers in engineering,
42(4-6) (2019) 337-361 (SCI, Impact Factor-0.5).
9. Kedari Lal Dhaker, Bhagat Singh and Yogesh Shrivastava., “Adaptive neuro-fuzzy
inference system based modeling of recast layer thickness during laser trepanning of
Inconel-718 sheet”, Journal of the Brazilian Society of Mechanical Sciences and
Engineering, 41(423) (2019) (SCI, impact factor-1.8).
10. Kedari Lal Dhaker , Arun Kumar Pandey and B. N. Upadhayay, “Experimental
Investigation of Hole Diameter in Laser Trepan Drilling of Inconel718 Sheet”,
Materials Today: Proceedings, 4(2017)7599–7608 (Scopus).
11. Kedari Lal Dhaker and Arun Kumar Pandey, “Experimental study of Hole Taper in
Laser Trepan Drilling of Nickel Based Super alloy Sheet” Materials Today:
Proceedings, 5 (2018) 23994–24004 (Scopus).
12. Kedari Lal Dhaker and Bhagat Singh and Yogesh Shrivastava, “Experimental
investigation and parametric optimisation of the hole-circularity and recast layer
during the laser trepan drilling”, Australian journal of mechanical engineering, Taylor
& Francis (2020) (Scopus).
13. Kedari Lal Dhaker and Arun Kumar Pandey, “Optimization of hole circularity in
Laser Trepan Drilling of Inconel-718 sheet by Genetic Algorithm”, Proceedings of 3rd
International Conference on advancements and recent innovations in Mechanical,
Production and Industrial Engineering (ARIMPIE-2017), I.T.S Engineering College,
Greater Noida.
14. Kedari Lal Dhaker and Arun Kumar Pandey, “Modelling and Simulation of Thermal
Stress Distribution in Laser Cutting of Ti-alloy Sheet”, BLB-International Journal of
Science & Technology, Proceedings of national conference on product design and
manufacturing 2015 (NCPDM-2015), MNNIT Allahabad.
Book Chapter Publications
1. Kedari Lal Dhaker, Amit Sharma, Tasnim Arif, Gaurav Shukla, Akshat Shukla and
Shwetank Avikal, Statistical Analysis and Data-Driven Modeling of Hole Circularity
in EDD of Aerospace Material, Springer (Scopus Index Book).
Patent Publications
1. SOLAR POWERED SECURE INTELLIGENT AUTOMOBILE VEHICLE, design
no. 379448-001, publication no.: 134450, 2022.
2. Method of cupper recovery from hazardous electronics waste, Application no.
202321052647, 2023.
AICTE-FDP certifications
1. Python Programming for Engineering Applications, IIT Guwahati, August, 2025
2. Future prospect of natural language, AICTE (ATAL)-JUET, Aug 2025
3. Next-Generation Materials: Innovations, Challenges &Applications, AICTE
(ATAL)- GCE Bhawanipatna, Sept. 2025
4. Statistical learning for reliability analysis, IIT Khgpr , Nov. 2023
5. Advanced Graph Theory, IIT Kanpur, March, 2023
6. Python for Data Science, IIT Madras ,March, 2022,
7. Parakh Assessment with 5 star, 12 march 2022
8. Advances in Micro Manufacturing, BIET Jhansi, 21- 25 Sep., 2021
9. Data Science for Engineers, IIT Madras, Oct.2021
10. FDP for Student Induction (FDP-SI)”, JUET-Guna, 16 - 18 Sept. 2019
11. Deep Learning and Applications, PDPM IIITM Jabalpur , 9-13 Dec. 2019
UGC -FDP certifications
1. NEP 2020 Orientation & Sensitization Programme, UGC-DAV Indore, 1-11 Jan,
2024
2. FDP on green manufacturing, Pandit Madan Modan Malviya National mission on
Teachers training, SMVDU, Katra, 4-8 march 2024.
3. Materials for energy and sustainability, UGC-IISER Bhopal, 4-18 Nov. 2024.
1. Infosys’s” Basic of Python” certification Sept , 2025
2. Google’s “Power of statistics” certification March, 2025
3. Microsoft’s “Innovative educator” certifications, 16 march, 2022
4. University of Michigan “Programming for Everybody” Coursera certification, June
2021
5. Stanford University‘s “Introduction to Statistics” Coursera certification Oct.2021.
6. Johns Hopkins University’s “The Data Scientist’s Toolbox” Coursera certification
Aug. 2020.
7. Duke University’s “Data Science Math Skills” Coursera certification Aug. 2020
8. University of Amsterdam’s “ Basic Statistics” Coursera certification Sept.2020
1. Operations Research,
2. Operation management,
3. Probability Theory and Random Processes,
4. Big Data analytics UG
5. Logical Reasoning and Quantitative Techniques UG level
7. Reliability Engineering,
8. Industrial Statistical Quality Control,
9. Production, Planning and Control,
10. Industrial Engineering,
11. Plant Layout and Material handling, UG level
12. Industrial Inspection and Quality Control, PG level
1. Data Science for Engineers, IIT Madras, Oct.2021, silver medal with 84 % (Topper)
2. Python for Data Science, IIT Madras, March 2022, silver medal with 86% (Topper)
3. Advanced Graph Theory, IIT Kanpur, March 2023, silver medal with 88%
4. Statistical learning, IIT Khgpr, Nov. 2023, silver medal with 86%
5. Discrete Mathematics, IIT Madras, May 2023, with 69%
