Unnikrishna   Pillai

Unnikrishna Pillai


Electrical Engineering


Unnikrishna Pillai, currently (half-time, since 2010) Professor of Electrical Engineering at the Tandon School of Engineering, New York University, joined the Polytechnic Institute of New York (Brooklyn Poly) in 1985 as an Assistant professor. He graduated from the Moore School of Electrical Engineering, University of Pennsylvania with a PhD in Systems Engineering (1985), and prior to that from IIT, Kanpur, India with an MS in Electrical Engineering (1982).  He has served as the Electrical Engineering department head for one year in the past (1998-1989). His research interests include system identification, radar signal processing, synthetic aperture radar (SAR) imaging and identifying moving targets from such radar images, machine learning technuiques for signal detection and identification in a congested environment, autonomous navigation of ground and airborne moving vehicles as a swarm (driverless cars driving together, moving drones from 'here to there') and risk estimation for portfolios through cognitive methods where greed/fear and returns are managed for moderate profit.

He has coauthored five textbooks/monographs related to electrical engineering and two other e-books. For the classroom, he has produced over hundred short videos on YouTube on selected topics  to complement his class room lectures so that students can review the key material and examples.

Unni has also published (Guest editor and sponsor) two translations of "Bhagavad Gita" in Malayalam into a book with an introduction by him hoping to spread Bhagavan's (God's) words - atleast the interesting ones - among the literate ... He has also sponsored and produced a music CD containing selected Indian mythology excerpts from classic Kathakali plays performed by some of his favorite artists from Kerala (southwest bottom corner of India).

Journal Articles

Around 30 Journal papers; Around 125+ Conference papers; Five books; Two e-books on Amazon Kindle

See http://eeweb.poly.edu/~pillai/

Other Publications


1.  "Short Videos" on Probability and Stochastic Processes at:


 2. Over 600 slides of Lecture Notes on "Probability and Stochastic Processes" at:


 3. "Engineering Probabilty",  (2012) on Amazon Kindle

 4. "401(k) and the Curse of Volatility",  (2012) on Amazon Kindle.



Moore School of Engineering, University of Pennsylvania, PA, 1985

Doctor of Philosophy (PhD), Systems Engineering: "Array Signal Processing and Spectrum Estim

Indian Institute of Technology (IIT), Kanpur, India, 1982

Master of Technology (MTech), Electrical Engineering: Digital Communications/Signal Processing

Institute of Technology, BHU, Varanasi, India, 1977

Bachelor of Technology (B Tech), Electronics and Telecommunications Engineering


School of Engineering, New York University

Professor ( Sept. 1995 - Present)

On half-time leave-of-absence since September 2010 and on a permanent basis since September 2015. Teaching (probability Theory, Stochastic Processes, Detection, Estimation and Machine Learning) and Research (Radar Signal Processing, Synthetic Aperture Radar Imaging, Blind Signal Estimation, Spectrum Estimation, System Identification).

From: August 1995 to present

Polytechnic University, New York

Department Head (Sept. 1998 - July 1999)

"Cleaned up" some of the inefficient practices within the Dept. Helped the Dean hire the next department head.

From: August 1998 to July 1999

Polytechnic University, New York

Associate Professor (Sept. 1989 - Aug. 1995)

Teaching and research on System Identification, Spectrum Estimation. Working with Prof.

From: August 1989 to August 1995

Polytechnic Institute of New York

Assistant Professor (Sept. 1985 - Aug.1989)

Teaching and Research on Array Signal Processing. Working with Prof. Youla.

From: August 1985 to August 1989

Bharat Electronics Limited (BEL),

Deputy Engineer (Radar)

Entry level Radar Engineer. Designing and testing of alpha numeric display terminals.

From: January 1978 to July 1980


Method and apparatus for dynamic swarming of airborne drones for , (US 9104201 B1)

A method, system and apparatus to detect when one or more airborne unmanned aerial vehicles (drones) are close to each other, and to take necessary actions to maintain a minimum distance between drones as well as a maximum distance among the drones in a dynamic environment by automatic navigation. A computer method and apparatus for holding a group of drones in a swarm formation by maintaining the group centroid of the group of drones within a tolerance of a predetermined location is also disclosed. Additionally, methods to move a swarm of drones along a predetermined path while maintaining the swarm formation of the drones is also disclosed.

Method and apparatus for automobile accident reduction using loca, (US 9187118 B2)

A method, system, and apparatus to detect when one or more moving vehicles are close to a first vehicle, and to take necessary actions to maintain a minimum distance between vehicles in a dynamic environment by automatic navigation. A computer method and apparatus for automobile accident reduction by maintaining a minimum distance with respect to all nearby vehicles on the road. In addition, methods to synchronously move a group of vehicles on a highway through a swarming action where each vehicle keeps a region immediately around it free of other vehicles while maintaining the speed of the vehicle immediately in front or nearby is also disclosed.

Authored + Edited Books


1. Array  Signal Processing (1989)

2. Spectrum Esimation and System Identification (1993)

3. Prof. Papoulis'  "Probability, Random Variables, and Stochastic Processes" (2002). Translated into Greek, Chinese.


4. Space Based Radar (2008)

5. Wavefrom Diversity (2011)

In the School News

Pitching to Win

Awards + Distinctions

  • All India Rank: 438, Joint Entrance Examination for UG admission to Indian Institue of Technologies (IITs)
  • Fellow, IEEE

Research Interests

  • Signal Processing and Communications
  • Synthetic Aperture Radar (SAR) Imaging and GMTI
  • Radar Waveform Design
  • Electronic Signal Identification and Classification - Who is Who?
  • Machine Learning and Cluster Number Determination
  • System Identification
  • Rational and Stable Approximation of Non-Rational systems
  • Array Signal Processing
  • Portfolio Optimization and Risk/Reward Strategies
  • Cognitive measures for Risk Reduction
  • Swarming Technoligy for Autonomous Navigation of Ground and Airborne Moving vehicles