Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Manish Agarwal
Also published under:M. Agarwal
Affiliation
Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA
Topic
Achievable Rate,Fading Channel,Lower Bound,Power Constraint,Additive Noise,Asymptotic Value,Channel Capacity,Channel Estimation,Channel Estimation Error,Channel State,Ergodic Capacity,Feedback Scheme,Forward Rate,Low Signal-to-noise Ratio,Optimal Power,Random Code,Rayleigh Fading,Absence Of Feedback,Additional Constraints,Additional Term,Additive Gaussian Noise,Analytical Results,Average Constraint,Bellman Equation,Block Fading,Block Length,Channel Coherence Time,Channel Estimation Accuracy,Channel Gain,Channel Model,Channel State Feedback,Circularly Symmetric Complex Gaussian,Code Blocks,Code Length,Codeword,Coherence Time,Coherent Detection,Constant Power,Constant Term,Crossover Probability,Data Symbols,Data Transmission,Decay Probability,Decoding Error,Distortion Measure,Double Exponential Decay,Entropy Rate,Error Exponent,Error Probability,Error Rate,
Biography
Manish Agarwal (S'06) received the B.Tech. degree in electrical engineering from the Indian Institute of Technology, Kanpur, in 2003. He received the M.S. and Ph.D. degrees in electrical engineering and computer science from Northwestern University, Evanston, in 2005 and 2008, respectively. He is currently with AQR Capital Management, Greenwich, CT. His current research interests are in information theory, adaptive control, statistical modeling, financial time series forecasting, and derivative pricing.