MAHTAB JAHANTAB

Freshly completed PhD studies, I am seeking opportunities to enhance my professional, and academic skills by gaining exposure to various research activities and facilitating teaching at a tertiary level. Both my academic research and personal interests align with the needs of this research flow. My research specialization is centerd on optimization models and reinforcement learning algorithms with specific applications to the agricultural sector. I believe my solid background in mathematics and statistics as well as my technical skills in working with Python, and SQL can separate me as an ideal researcher.

• Jahantab M., Abbasi B., Le Bodic P., “Farmland Allocation in the Conversion from Conventional to Organic Farming”. Under Revision in European Journal of Operational Research.
• Jahantab M., Abbasi B., Le Bodic P., “Planning A Gradual Conversion From Conventional to Organic Farming, A Reinforcement Learning Approach”. Under preparation.

Presentations:

• "Stochastic Sequential Decision Making In The Conversion From Conventional to Organic," European Conference On Stochastic Optimization and Computational Management Science. University Ca' Foscari of Venice, Venezia, Italy. July 2022.
• "Allocation of crops and agricultural practices in the transition from conventional to organic farming", POMS 32nd Annual Conference. Online. Aprill 2022.

Conference papers:

• Jahantab M., Sepehri M.M., and Khatibi T., “Improving ward round process through optimized allocation of hospital beds to the inpatients’’, in Proceedings of the 12th International Conference of Industrial Engineering, January 2016, Tehran, Iran.
• Rahmani S., Jahantab M., Aghdasi M., and Sepehri M.M., “Ward round processes pathology’’, in Proceedings of the 12th International Conference of Industrial Engineering, January 2016, Tehran, Iran.

Winner of the business section in the WC2 Research Elevator Pitch 2021,

RMIT Postgraduate Scholarship, 2018,

Ranked in the first 2% of nearly 5000 participants in the University Entrance Exam, degree and being awarded a scholarship for this degree, 2013, Iran.

Ranked in the first 0.6% of nearly half a million participants in degree and being awarded a scholarship for this degree, 2006, Iran,

Awarded to study in National Organization for Development Exceptional Talents, 2002, Iran.

• Studied competitive facility location problems (competitive games models).
• Performed facility layout and location and time study in a glass manufacturing plant.
• Studied ambulance service assessment with queuing theory.
• Studied stochastic optimization models in the management of revenue for a primary‐care clinic in the presence of patient choice.
• Studied heuristic algorithms for solving the optimization model of revenue management for hotel reservations.
• Developed as-is process maps and to-be process maps, created BPM to identify bottlenecks and delays in a Urology hospital,
• Applied clustering and classification techniques using R in risk assessment in a Urology hospital,
• Explored the optimal clustering method as well as parameter tuning for dermatology data using R,
• Studied the impurity measures in decision trees for data classification,
• Studied workflow mining and outlier detection from clinical activity logs using R,
• Designed an improvement model in a hospital environment that required a comprehensive system identification and analysis.

• Professor Babak Abbasi, from Deputy Dean (Research and Innovation), School of Accounting, Information Systems and Supply Chain, RMIT University. babak.abbasi@rmit.edu.au
• Dr Pierre Le Bodic, from Department of Data Science & AI, Faculty of Information Technology, Monash University. Pierre.LeBodic@monash.edu