Publications

Journals

1. Rima Deka, Vishesh Mishra, Imtiaz Ahmed, Sanya Anees and MS Alam, "On the Performance and Optimization of HAPS Assisted Dual-Hop Hybrid RF/FSO System" in IEEE Access, 2022.

2. Oswa Amro, Vishesh Mishra, Rohit Negi and Urbi Chatterjee, "CPU-DOCTOR: When an device's heart beat can be an acoustic side channel disassembler" in the Springer Journal of Cryptographic Engineering (JCEN) 2023. 

3. Vishesh Mishra, Sparsh Mittal, Neelofar Hassan, Rekha Singhal and Urbi Chatterjee, "VADF: Versatile Approximate Data Formats for Energy-efficient Computing" in the ACM Transactions on Embedded Computing Systems (ACM-TECS), 2023. 

4. Vishesh Mishra, Sparsh Mittal, and Urbi Chatterjee, "Novel Hybrid Probabilistic-Statistical Error Metrics for Approximate Adders", in the Elsevier Journal of Systems Architecture (JSA) 2025.

5. Vishesh Mishra, Dipesh, Sparsh Mittal, and Urbi Chatterjee,  "SATGuard: SAT-Driven Countermeasures for Protecting Approximate Circuits from Hardware Trojan" in the ACM Transactions on Embedded Computing Systems (ACM-TECS), 2025.

6. Vishesh Mishra, Mahendra Rathor and Urbi Chatterjee,  "Dual-Mode Rounding Algorithms and Hardware for Posit-Based DNN Training: The Future of Mixed Precision Frameworks" in the ACM Transactions on Embedded Computing Systems (ACM-TECS), 2025.

Conference Papers

1. Vishesh Mishra, Sparsh Mittal, and Urbi Chatterjee, "PowerShift: Leveraging Power-Aware Weight Approximations for Neural Network Acceleration", in the IEEE International Conference on VLSI Design (VLSID) 2026, Pune, India. 

2. Vishesh Mishra, Marcello Traiola, Angeliki Kritikakou, Olivier Sentieys and Urbi Chatterjee, "SERA-Float: A Soft Error Resilient Approximate Floating-Point Computing Format" in the IEEE International Conference on Computer-Aided Design (ICCAD 2025), to be held in, Munich, Germany.

3. Subhankar Gambhir, Vishesh Mishra, Urbi Chatterjee and Debapriya Basu Roy, "Breaking PCB-Chain: A Side-Channel Assisted Attack on IoT-Friendly Blockchain Mining" in the International Conference on Security, Privacy and Applied Cryptographic Engineering (SPACE 2025), Guwahati, India.

4. Anurag kamal, Vishesh Mishra, Sparsh Mittal, Mahendra Rathor, Chandan Kumar, and Urbi Chatterjee, "Sorting Attacks Resilient Authentication Protocol for CMOS Image Sensor Based PUF" in the IEEE Hardware Oriented Security and Trust Symposium (AsianHOST 2024), Kobe, Japan.

5.  Vishesh Mishra, Sparsh Mittal, Nirbhay Mishra and Rekha Singhal, "Security Implications of Approximation: A Study of Trojan Attacks on Approximate Adders and Multipliers", in the International Conference on VLSI Design (VLSID) 2024, Kolkata, India. 

6. Vishesh Mishra, Cheena Singhal and Sparsh Mittal, "HyAdd: A Hybrid Approximate Adder for Energy-efficient Computing," in 27th International Symposium on VLSI Design and Test (VDAT-2023). 

7. Vishesh Mishra, Sparsh Mittal, Rekha Singhal and Manoj Nambiar, "Novel, Configurable Approximate Floating-point Multipliers for Error-Resilient Applications " in the 24th International Symposium on Quality Electronic Design (ISQED-23), California, USA.

8. Mahendra Rathor, Vishesh Mishra and Urbi Chatterjee ,"Aiding to Multimedia Accelerators: A Hardware Design for Efficient Rounding of Binary Floating-Point Numbers" in Design, Automation, and Test in Europe Conference (DATE) 2023.

9. Vishesh Mishra, Neelofar Hasan, Akshay Mehta and Urbi Chatterjee, "DARK-Adders: Digital Hardware Trojan Attack on Block-Based Approximate Adders" in the IEEE International Conference on VLSI Design (VLSID) 2023, Hyderabad, India.

10. Vishesh Mishra, Sparsh Mittal, Saurabh Singh, Divy Pandey, and Rekha Singhal, "MEGA-MAC: A Merged Accumulation based Approximate MAC Unit for Error Resilient Applications," in the proceedings of the Great Lakes Symposium on VLSI (GLSVLSI) 2022, Irvine, CA, USA.

11. Vishesh Mishra,  Rima Deka, Imtiaz Ahmed, Sanya Anees, and MS Alam, "Performance analysis of haps assisted dual-hop hybrid RF/FSO system" in the proceedings of IEEE 94th Vehicular Technology Conference (VTC2021-Fall), China.

12. Vishesh Mishra, Divy Pandey, Saurabh Singh, Sagar Satapathy, Kaustav Goswami, Babita Jajodia, Dip Sankar Banerjee, "ART-MAC: an Approximate Rounding and Truncation Based Mac Unit for Fault-Tolerant Applications," to appear at IEEE International Symposium on Circuits & Systems (ISCAS-2022), Austin, Texas, USA. 

13. Saurabh Singh, Vishesh Mishra, Sagar Satapathy, Divy Pandey, Kaustav Goswami, Dip Sankar Banerjee, and Babita Jajodia, “EFCSA: An Efficient Carry Speculative Approximate Adder with Rectification,” to appear at 23rd International Symposium on Quality Electronic Design (ISQED-22), California, USA.

14. Divy Pandey, Vishesh Mishra, Saurabh Singh, Sagar Satapathy, Babita Jajodia, and Dip Sankar Banerjee, “HPAM: An 8-bit High-Performance Approximate Multiplier Design for Error Resilient Applications,” to appear at 23rd International Symposium on Quality Electronic Design (ISQED-22), California, USA.

15. Sagar Satapathy, Saurabh Singh, Vishesh Mishra, Divy Pandey, Kaustav Goswami, and Dip Sankar Banerjee, "AxLEAP: Enabling Low-Power Approximations Through Unified Power Format" to appear at IEEE International Symposium on Circuits & Systems (ISCAS-2022), Austin, Texas, USA

16. Divy Pandey, Saurabh Singh, Vishesh Mishra, Sagar Satapathy, and Dip Sankar Banerjee, "SAM: a Segmentation Based Approximate Multiplier for Error Tolerant Applications" accepted at IEEE International Symposium on Circuits and Systems (ISCAS), 2021, Daegu, KOREA. 

17. Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami, and Dip Sankar Banerjee. "An Approximate Carry Estimating Simultaneous Adder with Rectification" in Proceedings of 2020 on Great Lakes Symposium on VLSI (GLSVLSI '20). Association for Computing Machinery, New York, NY, USA.

 
Short Papers/Research Posters

1. Vishesh Mishra, Mahendra Rathor and Urbi Chatterjee,  "Dual-Mode Rounding Algorithms and Hardware for Posit-Based DNN Training: The Future of Mixed Precision Frameworks" in the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) 2025, Taipei, Taiwan.

2. Vishesh Mishra and Sparsh Mittal, "Novel Approximate Multipliers for Energy-efficient Computing" in IIT ROORKEE TECHNICAL REPORT NUMBER 2024/CAN/01.

3. Vishesh Mishra, Sparsh Mittal, Neelofar Hassan, Rekha Singhal and Urbi Chatterjee, "VADF: Versatile Approximate Data Formats for Energy-efficient Computing," accepted at 60th Design and Automation Conference (DAC) 2023, USA.

4. Divy Pandey, Vishesh Mishra, Saurabh Singh, Sagar Satapathy, and Babita Jajodia, "HPAM: An 8-bit High-Performance Approximate Multiplier Design for Error Resilient Applications" accepted at the 13th IEEE High-Performance Computing (HiPC), Student Research Symposium (SRS), 2021, Bangalore, India.

5. Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, and Kaustav Goswami, "ACEP: An Accuracy-Configurable Carry Estimating Parallel Adder", accepted in 12th HiPC Student Research Symposium(SRS), 2019, Hyderabad, India. 

6. Vishesh Mishra, Divy Pandey and Saurabh Singh "CEAPA: A Carry Estimating Approximate Parallel Adder", accepted at Reseach Conclave, 2020 Edition, IIT Guwahati.