Faculty

Dr.Pandiri Venkatesh

Assistant Professor

E-mail: venkateshpandiri@iiitdm.ac.in | Room No: 109M, Laboratory Complex

Google Scholar: https://scholar.google.co.in/citations?user=FjHS438AAAAJ&hl=en

DBLP: https://dblp.org/pid/153/4065.html

Website: https://sites.google.com/view/venkateshpandiri/home

Education

University of Hyderabad

Hyderabad

Ph.D. in Computer Science

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University of Hyderabad

Hyderabad

M.Tech. in Computer Science

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JNTU

B.Tech. in Computer Science and Engineering

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Research Interests

  1. Combinatorial Optimization

  2. Heuristics

  3. Metaheuristics

  4. Swarm Intelligence

  5. Multi-objective Optimization

Work Experience

Teaching

  1. Assistant Professor, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai, India.

  2. Faculty, National Institute of Technology Andhra Pradesh, India.

Research

  1. Postdoctoral Fellow, IFSTTAR, Lille, France.

Teaching

  1. Optimization Techniques

  2. Modeling and Optimization Techniques

  3. Discrete Structures for Computer Science

  4. Advanced Data Structures and Algorithms

  5. Automata and Compiler Design

  6. Computer Organization and Design

  7. Design and Analysis of Algorithms

Journal Publications

  1. Venkatesh Pandiri, Alok Singh: A Simple Hyper-Heuristic Approach for a Variant of Many-to-Many Hub Location-Routing Problem. Journal of Heuristics. (2021)

  2. Dasari Viswanath, Venkatesh Pandiri, Alok Singh: Multi-Start Heuristics for the Profitable Tour Problem. Swarm and Evolutionary Computation. (2021)

  3. Venkatesh Pandiri, Alok Singh: A hyper-heuristic based artificial bee colony algorithm for k-Interconnected multi-depot multi-traveling salesman problem. Information Sciences. 463-464: 261-281 (2018)

  4. Venkatesh Pandiri, Alok Singh: Two metaheuristic approaches for the multiple traveling salesperson problem. Applied Soft Computing. 26: 74-89 (2015)

  5. Venkatesh Pandiri, Alok Singh: An artificial bee colony algorithm with variable degree of perturbation for the generalized covering traveling salesman problem. Applied Soft Computing. 78: 481-495 (2019)

  6. Venkatesh Pandiri, Alok Singh: A swarm intelligence approach for the colored traveling salesman problem. Applied Intelligence. 48(11): 4412-4428 (2018)

  7. Venkatesh Pandiri, Alok Singh: Swarm intelligence approaches for multidepot salesmen problems with load balancing. Applied Intelligence. 44(4): 849-861 (2016)

  8. Venkatesh Pandiri, Alok Singh, André Rossi: Two hybrid metaheuristic approaches for the covering salesman problem. Neural Computing and Applications. 32(19): 15643-15663 (2020)

  9. Gaurav Srivastava, Venkatesh Pandiri, Alok Singh: An evolution strategy based approach for cover scheduling problem in wireless sensor networks. International Journal of Machine Learning and Cybernetics. 11(9): 1981-2006 (2020)

  10. Venkatesh Pandiri, Alok Singh: Two multi-start heuristics for the k-traveling salesman problem. OPSEARCH. 57(4): 1164-1204 (2020)

  11. Venkatesh Pandiri, Gaurav Srivastava, Alok Singh: A general variable neighborhood search algorithm for the k-traveling salesman problem. Procedia Computer Science. 143: 189-196 (2018)

Conference Publications

  1. Venkatesh Pandiri, Gaurav Srivastava, Rammohan Mallipeddi: A Multi-Start Iterated Local Search Algorithm for the Maximum Scatter Traveling Salesman Problem. IEEE Congress on Evolutionary Computation (CEC), 1390-1397 (2019)

  2. Venkatesh Pandiri, Gaurav Srivastava, Alok Singh: A Multi-start Iterated Local Search Algorithm with Variable Degree of Perturbation for the Covering Salesman Problem. International Conference on Harmony Search and Algorithms (ICHSA), 279-292 (2018)

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