Dr. Ajay Pratap is an Assistant Professor with the Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India. Before joining IIT (BHU), he was associated with the Department of Computer Science and Engineering, National Institute of Technology Karnataka (NITK) Surathkal, India, as an Assistant Professor from December 2019 to May 2020. He worked as a Postdoctoral Researcher in the Department of Computer Science at Missouri University of Science and Technology, USA, from August 2018 to December 2019. He completed his Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology Patna, India, in July 2018. His research interests include Cyber-Physical Systems, Smart-health, IoT-enabled Smart Environments, Statistical Learning, Algorithm Design for Next-generation Advanced Wireless Networks, Mobile Computing and Networking, Applied Graph Theory, and Game Theory. His current work is related to HetNet, Small Cells, Fog Computing, IoT, and D2D communication underlaying cellular 5G and beyond.

Prospective Students: Self-motivated, passionate students are encouraged to write to me with their updated resume for internship/Ph.D. program. However, for Ph.D. admission, one needs to go through the centralized selection procedure of the Institute.

NEWS

• Organizing MLBSS 2023 workshop, co-located with ICDCN 2023. Last date of paper submission: October 15, 2022
• Moirangthem Biken Singh, Navneet Taunk, Naveen Kumar Mall, Ajay Pratap. "Criticality and Utility-aware Fog Computing System for Remote Health Monitoring." Accepted to IEEE Transactions on Services Computing, pp 1-12, 2022.
• Amit Kumar, Ajay Pratap, and Anil Kumar Singh. "Generative Adversarial Neural Machine Translation for Phonetic Languages via Reinforcement Learning." Accepted to IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1-10, 2022.
• Ajay Pratap, "Cyclic Stable Matching Inspired Resource Provisioning for IoT-enabled 5G Networks" Accepted to IEEE Transactions on Vehicular Technology, Volume 0, pp. 1-11, 2022. Click here to access the paper.
• Federico Concone, Fabrizio De Vita, Ajay Pratap, Dario Bruneo, Giuseppe Lo Re and Sajal K. Das, "A Fog-assisted System to Defend against Sybils in Vehicular Crowdsourcing," Accepted to Pervasive and Mobile Computing, Volume 0, pp.1-1, 2022.
• Our paper titled "A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing" has been awarded as the best paper at IEEE SmartComp'21, USA. This was a collaborative work between-University of Palermo, Italy; University of Messina, Italy; Missouri University of Science and Technology, USA; and Indian Institute of Technology (BHU) Varanasi, India.

1. Moirangthem Biken Singh, Ajay Pratap. "BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare", https://arxiv.org/abs/2207.11654 (2022).
2. Suraj Mahawar, Ajay Pratap. "Covid-19 Spread Detection and Controlling with Fog-based Infection Probability Evaluation Model." arXiv preprint arXiv:2106.00759 (2021).

1. Moirangthem Biken Singh, Navneet Taunk, Naveen Kumar Mall, Ajay Pratap. "Criticality and Utility-aware Fog Computing System for Remote Health Monitoring." IEEE Transactions on Services Computing, pp 1-12, 2022.
2. Amit Kumar, Ajay Pratap, and Anil Kumar Singh. "Generative Adversarial Neural Machine Translation for Phonetic Languages via Reinforcement Learning." IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1-10, 2022.
3. Ajay Pratap, "Cyclic Stable Matching Inspired Resource Provisioning for IoT-enabled 5G Networks" IEEE Transactions on Vehicular Technology, Volume 0, pp. 1-11, 2022.
4. Federico Concone, Fabrizio De Vita, Ajay Pratap, Dario Bruneo, Giuseppe Lo Re and Sajal K. Das, "A Fog-assisted System to Defend against Sybils in Vehicular Crowdsourcing," Pervasive and Mobile Computing, Volume 0, pp.1-1, 2022.
5. Amit Kumar, Ajay Pratap, Anil Kumar Singh, and Sriparna Saha. "Addressing domain shift in neural machine translation via reinforcement learning." Expert Systems with Applications 201: 117039, 2022.
6. Amit Kumar, Rajesh Kumar Mundotiya, Ajay Pratap, and Anil Kumar Singh. "TLSPG: Transfer learning-based semi-supervised pseudo-corpus generation approach for zero-shot translation." Journal of King Saud University-Computer and Information Sciences, pp. 1-12, 2022.
7. Ajay Pratap, Sajal K. Das, "Stable Matching based Resource Allocation for Service Provider's Revenue Maximization in 5G Networks", in IEEE Transactions on Mobile Computing, vol., no.,  pp 1-17, 2021.
8. Ajay Pratap, Rajiv Misra, Sajal K. Das “Maximizing Fairness for Resource Allocation in Heterogeneous 5G Networks”, IEEE Transactions on Mobile Computing, vol. 20, no. 2, pp. 603-619, 2021.
9. Ajay Pratap, Ragini Gupta, Venkata Sriram Siddhardh Nadendla, Sajal K. Das, "Bandwidth-Constrained Task Throughput Maximization in IoT-enabled 5G Networks," Pervasive and Mobile Computing, Volume 69, pp.101281, 2020.
10. Ajay Pratap, Rishabh Singhal, Rajiv Misra, Sajal K. Das “Distributed Randomized k-Clustering based PCID Assignment for Ultra-Dense Femtocellular Networks”, IEEE Transactions on Parallel and Distributed Systems, 29(6), pp. 1247-1260, 2018, DOI:10.1109/TPDS.2018.2800050.
11. Ajay Pratap, Rajiv Misra, “Random Graph Coloring-based Resource Allocation for Achieving User Level Fairness in Femtocellular LTE-A Networks”, Wireless Personal Communications, 98 (2), pp.1975–1995, 2018.
12. Ajay Pratap, Rajiv Misra, Utkarsh Gupta, “Randomized Graph Coloring Algorithm for Physical Cell ID Assignment in LTE-A Femtocellular Networks”, Wireless Personal Communications, 91(3), pp.1213-1235, 2016.

1. Federico Concone, Fabrizio De Vita, Ajay Pratap, Dario Bruneo, Giuseppe Lo Re and Sajal K. Das "A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing", in IEEE International Conference on Smart Computing (SMARTCOMP), pp. 1-8, August 23-27, 2021, California, USA (Best Paper Award).
2. Ajay Pratap, Shivani Singh, Shaswat Satapathy, Sajal K. Das “Maximizing Joint Data Rate and Resource Efficiency in D2D-IoT Enabled Multi-Tier Networks”, in 44th IEEE Conference on Local Computer Networks (LCN), pp. 177-184 , October 14-17, 2019, Osnabrück, Germany.
3. Ajay Pratap, Federico Concone, Venkata Sriram Siddhardh Nadendla, Sajal K. Das “Three-Dimensional Matching based Resource Provisioning for the Design of Low-Latency Heterogeneous IoT Networks”, in 22nd ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), pp. 79-86 , November 25 - 29, 2019, Miami, USA.
4. Ajay Pratap, Ragini Gupta, Venkata Sriram Siddhardh Nadendla, Sajal K. Das “On Maximizing Task Throughput in IoT-enabled 5G Networks under Latency and Bandwidth Constraints”, in  IEEE International Conference on Smart Computing (SMARTCOMP), pp. 217-224, June 12-14, 2019, Washington D.C . , USA (Best Paper Candidate Award).
5. Rishabh Singhal, Ajay Pratap, Rajiv Misra, Sajal K. Das “Factor Graphbased Message Passing Technique for Distributed Resource Allocation in 5G Networks”, in 11th IEEE International Conference on COMmunication Systems & NETworkS (COMSNETS), pp. 359-366, January 7 - 11, 2019, Bengaluru, India.
6. Ajay Pratap, Rajiv Misra, Sajal K. Das “Resource Allocation to Maximize Fairness and Minimize Interference for Maximum Spectrum Reuse in 5G Cellular Networks” in 19th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp.1-9, June 12-15, 2018, Chania, Greece.
7. Sri Sanjeevini Devi Ganni, Ajay Pratap, Rajiv Misra, “Distributed Algorithm for Resource Allocation in Downlink Heterogeneous Small Cell Networks” in ACM MobiHoc workshop on Mobility, Interference and MiddleWare Management in HetNets (MobiMWareHN), pp. 1-6, July 10-14, 2017, Chennai, India.
8. Ritik Mathur, Ajay Pratap, Rajiv Misra, “Distributed Algorithm for Resource Allocation in Uplink 5G Networks” in ACM MobiHoc workshop on Mobility, Interference and MiddleWare Management in HetNets (MobiMWareHN), pp. 1-6, July 10-14, 2017, Chennai, India.
9. Rajiv Misra, Ankish Gupta, Ajay Pratap, “Fairness while Improving Smartphone Battery life Using D2D Cooperative Relays Underlaying LTE Networks”, in IEEE, International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT), 2016 , pp. 459–462, March 11-13, 2016, New Delhi, India.
10. Ajay Pratap, Rajiv Misra, “Resource Sharing in D2D Communication Underlaying Cellular LTE-A Networks”, in IEEE, International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 103–109, 10-13 August 10-13, 2015, Kochi, India.
11. Ajay Pratap, Rajiv Misra “Firefly Inspired Improved Distributed Proximity Algorithm for D2D Communication”, in IEEE, International Parallel & Distributed Processing Symposium (IPDPSW), 2015, pp. 323-328, May 25-29, 2015, Hyderabad, India.
12. Ajay Pratap, Hemanta Kumar Pati “Capacity Estimation for Cellular LTE Using AMR Codec with Semi-persistent Scheduling”, in Springer, Intelligent Computing, Communication and Devices(ICCD), pp. 725-736, April 18-19, 2014, Bhubaneswar, India.

1. Ajay Pratap, Sajal K. Das “Internet of Things in 5G Cellular Networks: Radio Resource Perspective ”, in Internet of Things and Secure Smart Environments: Successes and Pitfalls, CRC Press, October 2020, USA.

1. Ajay Pratap, Sajal K. Das “Cyclic Stable Matching based Algorithm for IoT-Enabled Three-Sided Heterogeneous Networks”, in IEEE International Conference on Smart Computing, SMARTCOMP 2019, USA.
2. Ajay Pratap, Ragini Gupta, Sajal K. Das “Achieving Minimum Resource Requirement for IoT Edge Devices in 5G Networks”, in Intelligent Systems Center, 2018, Missouri University of S & T, USA.
3. Ajay Pratap, Rajiv Misra. “Resource Utilization in 5G Femtocellular Networks” at Research Scholar Day, 2017, IIT Patna, India.                     

• Assistant Professor: June 2020-Present: Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India.
• Assistant Professor: December 2019-May 2020: Department of Computer Science and Engineering, National Institute of Technology Karnatka (NITK), Surathkal, India.
• Post Doctoral Research Fellow: August 2018 - December 2019: CReWMaN Lab, Department of Computer Science, Missouri University of Science and Technology, USA.
• Guest Lecturer: Graph Theory and Its Applications in Next-Generation Advanced Wireless Networks, Missouri University of Science and Technology, USA, Spring, 2019.
• Industrial Experience: Innovation Group, Dubai, 2011-2012.

• CS-7028 Selected Topics in Wireless Network: Even 2021-22.
• CSE-544 IoT Protocols and Standards: Even 2021-22.
• CSO-101 Computer Programming: Even 2021-22.
• CSE-526: Advanced Topics in Wireless Networks: Odd 2021-22
• CSO-101T Computer Programming (Theory): Odd 2021-22
• CSO 101T: Computer Programming (Theory): Even 2020-21
• CSO 101: Computer Programming: Even 2020-21
• CSE 403: Seminar Course: Even 2020-21
• CSO 101T: Computer Programming (Theory): Odd 2020-21
• CS251: Database Systems
• CS110: Computer Programming
• CS111: Computer Programming Lab
  
  Administrative Responsibilities
   
• Convenor, Summer Training, Placement and Industrial Tour Committee, 2021-2023
• Member, DPGC and DUGC, 2021-2023
• Convener Department Computing Facilities, 2022-2023
• Member, Department Examination Committee, 2022-2023
• Member, Department Annual Report Committee, 2022-2023
• Member of the Condemnation Committee for TPO as a Technical Person 2022-2023
• Member of Cyber Crisis Management Group at Institute Level 2022-2023
• Convener of the department-level alumni affairs committee, 2021-2022
• Member, Department Annual Report, 2021-2022
• Member-secretary, Department Purchase Committee, 2021-2022.
• M.Tech and Ph.D. Admission Committee Member for July 2021 Session
• Convener, Department Annual Report for 2020-2021 session
• Undergraduate Lab-1 In-charge [Since October-2020]
• Faculty in charge of purchase, NITK Surathkal, December 2019-May 2020.
• Faculty Advisor of CSE (Minor Program), NITK Surathkal, December 2019-May 2020.

• Talk on "Applications of IoTs in Smart City: Blockchain and Machine Learning Perspective" in a one-day national level workshop on Artificial Intelligent Powered Internet of Things at KL University Andhra Pradesh, India, September 24, 2022.
• Talk on "Applications of Blockchain in Smart City Services" in two weeks ATAL FDP on "Blockchain in Smart City: Emerging Technologies for the Next Decade and Beyond" under Thrust Area "Blockchain Technology" at NIT Raipur, September 22, 2022.
• Talk on "BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare" in two weeks ATAL FDP on "Blockchain in Smart City: Emerging Technologies for the Next Decade and Beyond" under Thrust Area "Blockchain Technology" at NIT Raipur, September 22, 2022.
• Keynote talk on "Applications of Data Structure in IoT-enabled Cellular 5G Networks", for the inaugural session of AskDSA@VITB at VIT Bhopal University, India, March 03, 2022.
• Talk on "Fog Computing-enabled Heterogeneous 5G networks: Applications Perspective", in one-week short-term course on on "Artificial Intelligence & IoT Applications in Biomedical Engineering (AI-IoT-ABE-2021)" at IIIT Bhagalpur, Bihar, India, November 17, 2021.
• Talk on "Fog Computing-enabled Heterogeneous 5G networks", in one-week AICTE-ISTE Sponsored FDP on "Recent Trend in Cloud Computing (Phase-III)" at DRIEMS Autonomous Engineering College Odisha, India, April 22, 2021.
• Talk on "Stable Matching based Resource Allocation for Service Provider's Revenue Maximization in 5G Networks", Missouri University of Science and Technology, USA, April 16, 2021.
• Talk on "IoT-enabled 5G Networks: Graph Theory-based Model", in Next-Generation Networks (NGN) & AI for Data Analytics and Predictive Technology Applications (NGN & AI for DAPT) at IIT (BHU) Varanasi, March 26, 2021.
• Talk on "IoT-enabled 5G Networks: Stable Matching-based Model", in AICTE Sponsored Online QIP Short Term Course on "IoT-enabled 5G Networks: Infrastructure and Security" at Indian Institute of Technology (BHU) Varanasi, January 27, 2021.
• Talk on "IoT-enabled 5G Networks: Graph Theory-based Model", in AICTE Sponsored Online QIP Short Term Course on "IoT-enabled 5G Networks: Infrastructure and Security" at Indian Institute of Technology (BHU) Varanasi, January 26, 2021.
• Talk on "IoT-enabled Heterogeneous 5G networks", in AICTE Sponsored Online QIP Short Term Course on "IoT and Its Applications" at Indian Institute of Technology (BHU) Varanasi, December 30, 2020.
• Talk on "Futuristic IoT Solutions " Organized by IEEE Vizac Section India, November 16, 2020.
• Talk on "IoT-enabled Cellular 5G Networks: Applications and Resource Management", in one-week ATAL online Faculty Development Program on "Internet of Things and Real-Time Applications", at Indian Institute of Technology (BHU) Varanasi, September 23, 2020. 
• Talk on "IoT-enabled Industry 4.0 Applications using Fog Computing", in one-week ATAL online Faculty Development Program on "Internet of Things", at National Institute of Technical Teachers' Training and Research (NITTTR) Chennai, September 09, 2020.
• Talk on "Heterogeneous 5G Networks: A Radio Resource Perspective " at Royal Global University Guwahati, July 04, 2020.
• Talk on "Algorithmic Foundation of IoT-enabled 5G Networks with Applications" at St. Aloysius College, Mangaluru, Karnataka, June 18, 2020.
• Talk on “5G and Blockchain Technology” at Government Engineering College Jhalawar, Rajasthan, February 10-14, 2020.

• Session Chair for the track "Deep Learning and Neural Networks" in 5th IEEE International Conference On Recent Advances and Innovation in Engineering (ICRAIE-2020) at Poornima University Jaipur,  Rajasthan India on 02.12.2020.
• Panelist for the session "Data Mining and Applications of Data Science in Smart Cities, Health Care Management and Agriculture" in  Vaishwik Bharatiya Vaigyanik (VAIBHAV) Summit at IIT (BHU) Varanasi, Uttar Pradesh, India on 16.10.2020.

• Coordinator of 1st International Workshop on Machine Learning and Blockchain for Smart Society  (MLBSS 2022), Co-located with ICDCN 2022, January 4, 2022.
• Co-coordinator of "Next Generation Networks (NGN) & AI for Data Analytics and Predictive Technology Applications (NGN & AI for DAPT)" One Week Online Short-term Course With live hands-on, at IIT (BHU) Varanasi in support with SISCO, and A Technological Innovation hub on interdisciplinary data analysis and predictive technology (IDAPT), Under National Mission on Interdisciplinary Cyber-Physical System (NM-ICPS), March 22-27, 2021. 
• Coordinator of AICTE sponsored QIP short term course on " IoT-enabled 5G Networks: Infrastructure and Security" at IIT (BHU) Varanasi, January 25-30, 2021.
• Coordinator of TEQIP Sponsored five days workshop on “5G and Blockchain Technology” at Government Engineering College Jhalawar Rajasthan, February 10-14, 2020.

• Best Paper Award, IEEE SmartComp’21, USA
• Recipient of NSF Travel Grant Award for IEEE SmartComp’19, USA.
• Best Paper Candidate Award, IEEE SmartComp’19, USA.
• Post Doctoral Funding Agency - NSF, USA - from August 2018-December 2019.
• Assistantship by the CSIR, Government of India, during Ph.D. from July 2014 -July 2018.
• JRF (NET) CSIR-June 2013 Qualified with All India Rank 141.
• Assistantship by the MHRD, Government of India, during M. Tech from August 2012 - May 2014 through GATE exam.

• Professional Association: IEEE
• PG sports secretary at IIT Patna, from June 2015 -May 2016.
• Play Badminton and Volleyball
• Participated in various cultural activities held at school and college levels.

1. Title: Resource-Optimized Fog Computing for Smart Healthcare Application in IoT-enabled Heterogeneous Networks

• Principal Investigator: Ajay Pratap
• Amount: Rs. 29,06,970/-
• Duration: Two years (2020-2022)
• Funding Agency: Science and Engineering Research Board, Govt. of India. 

      2. Title: Precision Farming using LoRa and Drone based Architecture

• ​Principal Investigator: Ajay Pratap
•  Amount: Rs. 10 Lakh (Approx)/-
• Funding Agency: IIT (BHU) Varanasi

• Moirangthem Biken Singh (Smart-health, AI/ML)
• Himanshu Singh (IoT, Smart-health, ML) 
• Shilpi Kumari (6G, AI/ML)
• Amit Kumar (NLP)---Co-advising with Dr. Anil Kumar Singh
• Sachin Sahu (6G, IoT)--- Co-advising with Prof. Ashok Singh Sairam, IIT Guwahati.

• 2022-23 Session: Deewanshu Sharma, Swati Gupta, Surya Kurjam. 
• 2021-22 Session: Akash Patel.

• 2022 Session: Supreet Singh, Sourabh Patidar, Suraj Mahawar, Tanay Jonwal, Pratik Prakash Kagale, Anil Pushpakar, Vishal, Rohit Sharma, Adarsh Anand.
• 2021 Session: Navneet Taunk, Naveen Kumar Mall, Rhitwik Saha, Himanshu, Madhulika Damor.

• 2022 Session: Vansh Sardana, Harsh Pratik, Priyanshu Verma, Ranju Sharma, Akshat Bhatnagar, Harsh Kumar, Harsh Meena, Raghunandan Rawat, Ayush Kumar Agrawal, Garnedi Venkata,  Sravan Kumar, Jayesh Gat.
• 2021 Session: ​Chinmay Choubisa , Choudhary Vikash kumar S, Tanay Jonwal, Siddharth Kumar, Sourabh Patidar, Lali Akhil Raj, Supreet Singh, Suraj Mahawar.