Dr. Sharad Sinha

Designation : Associate Professor

Broad Area of Expertise : Computer Sciences and Engineering

Email : sharad{at}iitgoa.ac.in

Contact Number : 0832-2490-123

Address : Mahalaxmi Bungalow

Personal Page

Educational Qualifications

  1. PhD (Computer Engineering), Thesis submitted 2013, Degree Awarded 2014. Nanyang Technological University (NTU), Singapore
  2. Bachelor of Technology (Electronics & Communication Engineering), 2007. Cochin University of Science & Technology (CUSAT), India

Areas of Research

Computer Architecture (Processors, FPGAs, Other Novel Architectures), Heterogeneous Computing, High Performance Embedded Computing, Computing Systems Architecture, Design, Verification, Security (The complete Hardware to Software Stack), Applications of Computing Systems & Principles (Medical Devices, Assistive Technologies etc.).

Courses Taught

UG Courses

  1. Computer Architecture & Lab (Autumn 2018, 2019)
  2. Operating Systems & Lab (Spring 2018, 2019, 2020, 2021)

PG Courses

  1. Fundamentals of Computing Systems Design (Autumn 2019, 2020)
  2. Research Integrity & Ethics (Spring 2020, 2021)

Elective Courses

  1. System-on-Chip Design: Hardware-Software Perspectives (Autumn 2020)

Professional Appointments

  1. Assistant Professor, Indian Institute of Technology (IIT), Goa. May 2018-Present
  2. Research Scientist, Nanyang Technological University (NTU), Singapore.(November 2016- May 2018)
  3. Research Fellow, National University of Singapore (NUS), Singapore.(July 2016-November 2016)
  4. Post-Doctoral Visiting Scholar, The Hong Kong University of Science and Technology (HKUST), Hong Kong. \(March 2014-January 2016)
  5. Design Engineer, Processor Systems (I) Pvt. Ltd., Bangalore, India.(August 2007-May 2009)

Recent Publications

  • Jiandong Mu, Wei Zhang, Hao Liang and Sharad Sinha, Optimizing OpenCL-based CNN Design on FPGA with Comprehensive Design Space Exploration and Collaborative Performance Modeling, ACM Transactions on Reconfigurable Technology and Systems (ACM TRETS), 13, 3, Article 13 (August 2020), 28 pages.
  • Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang and Bingsheng He, Performance Modeling and Directives Optimization for High Level Synthesis on FPGA, IEEE Transactions on CAD (IEEE TCAD), vol. 39, issue 7, July 2020, pp. 1428-1441.
  • Jieru Zhao, Tingyuan Liang, Liang Feng, Wenchao Ding, Sharad Sinha, Wei Zhang, Shaojie Shen FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications," 30th International Conference on Field-Programmable Logic and Applications (FPL 2020), Gothenburg, Sweden, August 2020, pp. 269-276.
  • Sharad Sinha and Clint P George, Artificial intelligence for all using the R programming language, ACM SIGAI AI Matters, vol. 5, issue 4, Dec. 2019, pp. 10-13.
  • Liang Feng, Jieru Zhao, Tingyuan Liang, Sharad Sinha and Wei Zhang, LAMA: Link-Aware Hybrid Management for Memory Accesses in Emerging CPU-FPGA Platforms, 56th Design Automation Conference (DAC 2019), Las Vegas, USA, June 2-6, 2019, pp. 1-6.
  • Liang Hao, Sharad Sinha and Wei Zhang, "Parallelizing hardware tasks on multi-context FPGA with efficient placement and scheduling algorithms", IEEE Transactions on Computer Aided Design of Integrated Circuits (IEEE TCAD) vol. 37, issue 2, Feb. 2018, pp. 350-363.
  • Liang Feng, Sharad Sinha, Wei Zhang and Yun Liang, "CAMAS: Static and Dynamic Hybrid Cache Management for CPU-FPGA Platforms", in Proc. of 26th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 2018), April 29 - May 1,Boulder, CO, USA. 2018.
  • Liang Feng, Liang Hao, Sharad Sinha and Wei Zhang, "HeteroSim: A heterogeneous CPU-FPGA simulator", IEEE Computer Architecture Letters (IEEE CAL), vol. 16, issue 1, Jan. -June 2017, pp. 38-41.
  • Liang Feng, Sharad Sinha, Wei Zhang and Yun Liang, "A Hybrid approach to cache management in heterogeneous CPU-FPGA platforms", International Conference on Computer-Aided Design (ICCAD 2017), Irvine Nov. 13-16, 2017 (Invited Paper)
  • Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang and Bingsheng He, "COMBA: A comprehensive model based analysis framework for high level synthesis of real applications", International Conference on Computer-Aided Design (ICCAD 2017), Irvine, USA Nov. 13-16, 2017. (2017 IEEE/ACM WILLIAM J. MCCALLA ICCAD Best Paper Award (Front End))

Recognition and Awards

  • Best Paper Award Nomination, CASES 2018 (Embedded Systems Week), Torino, Sept. 30-Oct. 5, 2018
  • IEEE/ACM William J. McCalla ICCAD Best Paper Award, ICCAD 2017, Irvine, Nov. 13-17, 2017. 
  • Journalist Travel Grant (Young Researchers), Heidelberg Laureate Forum, Heidelberg, September 2017, Germany
  • Black Hat Educator Scholarship, Black Hat Asia Conference, 2018, 2017, Singapore
  • Best Speaker Award, 2013 Graduate Students Workshop, IEEE CASS Singapore Chapter

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