Teaching
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Designation: Assistant Professor
Department: Mining Engineering
Email: sagarwal[at]iitism[dot]ac[dot]in
Contact Number: 9335536412
Office Number: +91-326-223-5240
Personal Page: Click Here
About Me: Dr. Siddhartha Agarwal is an Assistant Professor in the Department of Mining Engineering at IIT (ISM) since 2020. He is currently involved in research to develop Artificial Intelligence and Machine learning based application in Mining Energy and Supply Chain Systems. He has done his Ph.D. in Systems Engineering and Engineering Mgt. from Missouri University of Science & Technology (UMR) in 2015 with an emphasis on Operations Research and Artificial Intelligence. He has an MS. in Mining Engineering from the University of Alaska Fairbanks, June 2010, and an undergraduate B.Tech. in Mining Engineering from the Indian Institute of Technology- BHU, India, 2006. Previously in the mining domain he has worked for 2 years in Steel Authority of India Ltd during 2006-08. In United States I have worked for the State Department of natural resources during 2009-10 for implementing regulations of environmental protection agency (EPA) and mine reclamation and closure procedures. Besides I have worked for the Minesight software now called Hexagon Mining in Arizona as a mine planning engineer. Besides he has expertise in credit risk, banking and cyber-security of transactions where he spent five years in financial domain from 2015-2020. He worked as Project manager at Discover Financial Services (Top 10 Banks and Credit Card Services in US) and Sr. Manager Risk in Asurion LLC, a mobility and retail insurance Company. Dr. Agarwal’s research interests include online optimization and learning; machine learning; and decision making under uncertainty. His research has been supported by Technological Innovation Hub Govt. of India (IIT-ISM). He has been fortunate enough to be recognized for 2014 Stevens Doctoral Award for Promising Research in Systems Engineering and Integration from the International Council on Systems Engineering (INCOSE)/Stevens Institute Foundation which carries a cash prize of $5000. In 2013 receiving the Outstanding Ph.D. Research Award (Systems Engineering) at Missouri University of Science & Technology (UMR). He is currently a reviewer for a reviewer for the following journals; IEEE Systems Journal; International Journal of Mining Engineering and Mineral Processing; Systems Engineering Journal Wiley Publications (the official journal of International Council of Systems Engineering, INCOSE).
Research Interest: Digitalization Of Mining Operations, Industry 4.0 Applications In Mining, Machine Learning And Artificial Intelligence Applications In Energy Consumption In Mines, Earth Sciences: Geostatistics, Open Pit Mine Planning & Scheduling, Real Time Monitoring Of Air Pollution In Open Cast Mines, Geo-technical And Environmental Closure And Repurposing Planning
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Education
PhD. Systems Engineering at Missouri University of Science & Technology, USA (2011- Aug 2015)
MS. Mining Engineering from the University of Alaska Fairbanks, USA, May 2010
B.Tech. Mining Engineering from Indian Institute of Technology- BHU, India, May 2006
PROFESSIONAL EXPERIENCE:
Academic Administrative EXPERIENCE:
Book Chapters:
INTERNATIONAL CONFERENCE ON OPENCAST MINING AND SUSTAINABILITY (ICOMS 2021), Topic : Application of Input-Output Production Modeling and Digitalization for Analyzing Energy Consumption and GHG Emissions for a Surface Coal Mine, Authors: Yoginder P. Chugh and Siddharth Agarwal; Northern Coalfields Limited (NCL), Singrauli in association with Indian Institute of Technology, (Banaras Hindu University)
International Mine Ventilation Congress 2024, 11-16 August 2024, Sydney.ITopic: OT and AI-Based Particulate Matter and GHG Emissions Real-Time Monitoring for Surface Coal Mines, Authors: Siddhartha Agarwal, Prof. Y. Paul Chugh (Professor Emeritus, SIUC, IL, USA), V. Suresh, Priyanshu Jha, Ayan Mukherjee (UG Mining Eng. & Comp-Science Students)
10th Asian Mining Congress (10th AMC) on November 06-08, 2023, Kolkata, Topic: Machine learning based prediction of spontaneous combustion susceptibility of coal using its intrinsic properties: a safe smart and sustainable mining of coal approach, Authors: Siddharth Agarwal, Atul Singh, Pratibha Sharma
Invited Speaker at National Seminar on Artificial Intelligence in Mining (AIM 2024) Mumbai MGMI, Topic: Digitalization Trends in Global Mining: Practical Application of AI and ML in Mining Operations Challenges & Opportunities
Agarwal,S. & Dagli, H.C , Flexible and Intelligent Learning Architectures for SoS (FILA-SoS): Architectural evolution in Systems-of-Systems, INFORMS Annual Meeting, San Francisco, Nov 2014.
Agarwal,S. & Dagli, H.C , Predicting Negotiation Behaviors through Hybrid K-means Clustering and Linear Vector Quantization Approach , 2nd Annual SERC Doctoral Fellows Forum and 6th Annual SERC Sponsor Research Review, Washington D.C. 2014. (Accepted)
Agarwal,S. & Dagli, H.C, Particle Swarm Optimization with Type-2 Fuzzy Sets for Generating Systems of Systems Architectures, ISERC, IIE Annual Conference & Expo, Montreal, 2014.
Agarwal,S. & Dagli, H.C, Adaptive Negotiating Strategies of Systems of Systems Coordinator using Deep Belief Networks, CESUN 2014, Steven’s Institute of Technology, Hoboken, NJ. 4th International Engineering Systems Symposium.
Agarwal, S. & Dagli, C. H. (2013). A Conceptual Architecture for Modeling Team Cognition by Haptic Sensors and Agent Based Simulation, ISERC 2013 Conference, San Juan, Puerto Rico. 6. Agarwal,S. & Ganguli., R. Automated Modeling of Real Time Mine Operations Data Using Neural Networks, UAF CEM Mining Engineering Alaska Miners Association Fairbanks 22nd Biennial Conference, 2010.
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R& D Projects underway
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Sl. No. |
Name of all PI/Co-PI etc. |
Sponsoring Authority |
Topic/ Field |
Sanctioned Amount(Rs.) |
Amount Released(Rs.) |
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1 |
PI: Siddhartha Agarwal (IIT -ISM), PI: Director IIT Mandi Prof. L.K. Behera |
DST SERB TIH (external) |
Unmanned Vehicle for Underground Mine Safety Inspection |
22.10 lac |
22.10 lac |
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2 |
PI |
Mahanadi Coalfields (external) |
Auto-Evaluation of Tenders Using Artificial Intelligence / Machine Learning |
61,34,348 |
48,00,00 |
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3 |
PI |
FRS (IIT-ISM) |
A Critical Investigation and Digitalization of EnergyConsumption Vis- a-Vis Greenhouse Gas Emissions AI/ML and IoT based Integrative Approach. |
12,38,000.00 |
10,00,000 |
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Sl No. |
Name of the activity |
Nature of activity |
Role in the activity |
Specific contribution |
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1 |
Co-Ordinator AI reporting to DEAN IIE |
Organized workshops for UG students of 1st and 2nd Yr. on hands on applications of AI in engineering problems for NVCTI |
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2 AI workshops for more than 100 students of IIT ISM, one All India Sea-food AI hackathon for 2 teams from IIT ISM Involving B.Tech students in R&D activities |
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2 |
Hostel Warden |
Managing student and new building development |
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Weekly visit for checking the delivery of rooms based on guidelines and procumbent & indent of metal file cabinets, 6 smart TVs for AQUAMARINE Hostel |
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Name of Candidate |
Registration No. with date |
Status of work done |
Sole or Joint |
In case of joint guide, Name of Principal guide & Co-guide |
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Vislavath Suresh |
21DR0217, 16/08/2021 |
2 conference papers accepted at , 1 journal paper in submission stage |
Sole |
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