Pitu Mirchandani

Pitu Mirchandani
CitizenshipAmerican
EducationUniversity of California, Los Angeles, Massachusetts Institute of Technology
Scientific career
InstitutionsArizona State University, University of Arizona, Rensselaer Polytechnic Institute

Pitu B. Mirchandani is an American scientist, engineer and researcher whose work focuses on use-inspired model building for decision-making and planning.

He holds the Avnet Chair for Supply Chain Networks at Arizona State University (ASU), where he serves as professor emeritus in the School of Computing and Augmented Intelligence[1] and was the Chief Scientist at the U.S. Department of Homeland Security’s Center for Accelerating Operational Efficiency (CAOE).[2]

He was inducted as a Life Fellow of the IEEE in 2016 and as a Fellow of INFORMS in 2015.[3][4]

Education and career

Mirchandani received his Bachelor of Science degree in engineering with highest honors from the University of California, Los Angeles (UCLA) in 1966, followed by a Master of Science in engineering (Control Systems) from UCLA in 1967.[5] He then pursued graduate studies at the Massachusetts Institute of Technology (MIT), earning an S.M. in Aeronautics and Astronautics with a focus on Man-Machine Systems in 1971 and a Sc.D. in Operations Research in 1975.[6]

Academic career

Mirchandani began his academic career at Rensselaer Polytechnic Institute (RPI), where he served from 1975 to 1990 in the Departments of Electrical, Computer & Systems Engineering and Decision Sciences & Engineering Systems.[7] He chaired the university's Operations Research and Statistics Program between 1984 and 1987 and held the position of associate professor before his promotion to full professor.[8] In 1990, he joined the University of Arizona as professor of systems and industrial engineering, electrical and computer engineering, and applied mathematics.[7] He served as head of the Department of Systems and Industrial Engineering from 1990 to 1998 and later directed the ATLAS Research Center (Advanced Traffic and Logistics Algorithms and Systems) from 1998 to 2009.[6]

In 2009, Mirchandani moved to Arizona State University, where he continues to teach and conduct research.[9] At ASU, he has held positions, including AVNET chair for supply chain networks (since 2014) and chief scientist of the DHS Center for Accelerating Operational Efficiency (since 2017).[10]

Research

His early work contributed to the theory of network location and optimization, leading to the publication of Location on Networks: Theory and Algorithms[11] and the edited volume Discrete Location Theory.[12]

He later extended his focus to real-time and stochastic systems, developing decision-making models that incorporate uncertainty and adapt dynamically to new information.[13] One of his works is the RHODES system (Real-Time Hierarchical Optimized Distributed Effective System), a traffic signal control system that integrates real-time data analytics to optimize urban traffic flow.[4]

His research has addressed the deployment of electric-vehicle (EV) charging infrastructure, the management of autonomous vehicle fleets, and the integration of mobility and energy networks.[14]

Mirchandani's recent work includes real-time optimization for evacuation routing, sensor placement on traffic networks, and proactive disaster-response strategies.[15] A 2022 study co-authored by Mirchandani on drone logistics for uncertain demand in disaster-impacted populations.[16]

References

  1. ^ Kullman, Joe (2015-03-11). "Mirchandani named Avnet Chair professor". Full Circle. Retrieved 2025-12-04.
  2. ^ "Department of Homeland Security Chooses ASU to Lead Its Newest Center of Excellence | Newswise". www.newswise.com. Retrieved 2025-12-04.
  3. ^ Asokan, N. (2018-04-09). "IEEE Computer Society Members Elevated to Fellow for 2017". IEEE Computer Society. Retrieved 2025-12-04.
  4. ^ a b Serago, Rose Gochnour. "Mirchandani named INFORMS fellow for pioneering advances in network traffic control | ASU News". news.asu.edu. Retrieved 2025-12-04.
  5. ^ "Dr. Pitu B. Mirchandani - Routing, Logistics and Management of Recharging Infrastructure for Electric Vehicles | Research Centre for Integrated Transport Innovation (rCITI)". www.rciti.unsw.edu.au. Retrieved 2025-12-04.
  6. ^ a b "Prof.Mirchandani Pitu Bhagwandas from Arizona State University USA visiting to lecture". ctc.shmtu.edu.cn. Retrieved 2025-12-04.
  7. ^ a b Avery, Ryan. "PacTrans | Dr. Pitu Mirchandani at the PacTrans Regional Transportation Seminar". Retrieved 2025-12-04.
  8. ^ Zhao, Lei. "Prof. Pitu Mirchandani, Professor, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University". Tsinghua University. Retrieved 2025-12-04.
  9. ^ Schools, Fulton (2016-02-24). "Mirchandani named INFORMS fellow for pioneering advances in network traffic control". Full Circle. Retrieved 2025-12-04.
  10. ^ "From homeland security hub to enduring legacy | ASU News". news.asu.edu. 2025-09-15. Retrieved 2025-12-04.
  11. ^ Burr, Stefan A. (1981-01-01). "Location on Networks: Theory and Algorithms (Gabriel Y. Handler And Pitu B. Mirchandani)". SIAM Rev. 23 (1): 123–124. doi:10.1137/1023029. ISSN 0036-1445.
  12. ^ Mirchandani, Pitu B., ed. (1990). Discrete location theory. Wiley-Interscience series in discrete mathematics and optimization. New York: Wiley. ISBN 978-0-471-89233-5.
  13. ^ Mirchandani, Pitu; Head, Larry (2001). "A real-time traffic signal control system: Architecture, algorithms, and analysis". Transportation Research Part C: Emerging Technologies. 9 (6): 415–432. doi:10.1016/S0968-090X(00)00047-4. ISSN 0968-090X.
  14. ^ Adler, Jonathan D.; Mirchandani, Pitu; Xue, Guoliang; Xia, Minjun (2016-03-01). "The Electric Vehicle Shortest-Walk Problem With Battery Exchanges". Networks and Spatial Economics. 16 (1): 155–173. doi:10.1007/s11067-013-9221-7. ISSN 1566-113X.
  15. ^ Rose, Rachel. "Preparing the energy and transportation sectors for carbon-neutrality". engineering.tamu.edu. Retrieved 2025-12-04.
  16. ^ Ghelichi, Zabih; Gentili, Monica; Mirchandani, Pitu B. (2022-08-01). "Drone logistics for uncertain demand of disaster-impacted populations". Transportation Research Part C: Emerging Technologies. 141. doi:10.1016/j.trc.2022.103735. ISSN 0968-090X.
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