Nirwan Ansari

About

Nirwan Ansari is a pioneering researcher whose work spans multiprocessor scheduling, wireless sensor networks, and cyber-physical social systems. His most influential contribution is a seminal 1994 paper on using genetic algorithms for multiprocessor scheduling, which has accumulated 685 citations and established a foundational approach to this NP-hard problem. Ansari’s method, which represents search nodes based on task schedules and uses precedence-based genetic operators, remains a benchmark in the field. He has also made significant advances in wireless sensor networks, notably proposing a novel scheme for sink mobility using clustering and set packing techniques (80 citations), which enhances energy efficiency in data collection. His early work on robot steering using vanishing points (48 citations) demonstrates his versatility, applying computer vision to autonomous navigation. More recently, Ansari has contributed to the emerging field of cyber-physical social systems, editing a special section that explores integrating human factors into computing. With a career spanning three decades, his research has consistently addressed complex optimization and communication challenges, earning him recognition as a leading figure in computer engineering and networking.

Research Focus

Key Achievements

Top Papers

1. 1
   A genetic algorithm for multiprocessor scheduling

   685 citations · 1994
2. 2
   A Novel Scheme for WSAN Sink Mobility Based on Clustering and Set Packing Techniques

   80 citations · 2011
3. 3
   Steering a robot with vanishing points

   48 citations · 1993
4. 4
   Efficient multiprocessor scheduling based on genetic algorithms

   47 citations · 2002
5. 5
   Ad-hoc robot wireless communication

   41 citations · 2003
6. 6
   Guest Editorial: Special Section on Cyber-Physical Social Systems—Integrating Human into Computing

   8 citations · 2020

Key Collaborators

Contact & Links