Dr. Jyotirmoy Karjee, Ph.D.
IEEE Senior Member | ACM Member

Dr. Jyotirmoy Karjee received his Ph.D. (Engineering) from the Indian Institute of Science (IISc), Bengaluru, in 2014. He was awarded the prestigious European HERITAGE Erasmus Mundus Fellowship for postdoctoral research at the Technical University of Munich (TUM), Germany. He earned his B.E. in Electronics Engineering and M.E. in Information Technology in 2003 and 2005, respectively.

He is currently a Full Professor in the Department of Computer Science & Engineering at École Centrale School of Engineering, Mahindra University, India. Prior to joining academia, he served as an Architect at Samsung R&D Institute Bangalore (SRIB) and as a Scientist at Tata Consultancy Services (TCS) Research & Innovation Labs, in addition to working in several industry and academic leadership roles. He has over 20 years of research and development experience spanning academia, industrial R&D, Ph.D, postdoctoral research, and teaching.

His research focuses on "Artificial Intelligence for Next-Generation Wireless Networks and Intelligent Computing", encompassing Machine Learning, Deep Learning, Generative AI (Large Language Models), Edge AI, Distributed and Split Computing, Computer Vision, Multimodal AI and Quantum Computing. His research aims to develop intelligent, scalable, and resource-efficient solutions for 5G/6G wireless networks, edge intelligence, distributed AI systems, multimedia processing (video, audio, and text), XR/Metaverse for next-generation communication and computing infrastructures.

At Samsung R&D Institute Bangalore, he led innovations in AI-driven Wireless networking, Computing infrastuctures, and Split Computing, making significant technical contributions that were recognized within Samsung Research and contributed to 3GPP standardization activities. He played a key role in developing scalable AI solutions while leading high-performing research and engineering teams. At TCS Research & Innovation Labs, he worked on advanced AI/ML, wireless networking, IoT, robotic communications, and intelligent networked systems, collaborating with multidisciplinary R&D teams and mentoring engineers and Ph.D. interns. His research on robotic communication and link prediction resulted in several high-impact publications and patented innovations.

Dr. Karjee has authored numerous papers in leading international journals and conferences and has been granted multiple patents. He received the Best Paper Award at the 3rd International Conference on Recent Trends in Information, Telecommunication and Computing (2012). He is a Senior Member of IEEE and an active Member of ACM.

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For Research & Deveopment Collaboration, you  can reach me at: 

Official mail ID: jyotirmoy.karjee@mahindrauniversity.edu.in

Personal mail ID: jyotirmoy.research.iisc@gmail.com 

IEEE mail ID: jyotirmoykarjee@ieee.org

You can follow me at: https://scholar.google.com/citations?user=kRLRtCwAAAAJ&hl=en

You can follow me at LinkedIn: https://www.linkedin.com/in/dr-jyotirmoy-karjee-5b976460/

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PROFESSIONAL EXPERIENCE/(EMPLOYMENT)

1. Mahindra University, Hyderabad, India.

Professor in the Department of Computer Science & Engineering, Joined 05th January 2026 to till date.

2. Samsung R&D Institute India, Bangalore, India.

Staff Engineer (Role: Architect) in Communication R&D group, SAMSUNG from 22nd Oct 2018 to 30th Dec 2025.

3. Atal Bihari Vajpayee Indian Institute of Information Technology & Management (ABV-IIITM), Gwalior, India.

Adjunct Faculty (Professor) in the Department of Information Technology 23rd January 2024 to 22nd January 2026.

4. TCS Research and Innovation, Tata Consultancy Services, Bangalore, India.

Assistant Consultant, (Role: Scientist) in N/W Embedded Infrastructure group

06th Jully 2016 to 12th Oct 2018.

5. Manipal Group: Manipal University Jaipur, Rajasthan, India.

Associate and Assistant Professor in Computer Science & Engineering Department

02th Feb 2015 to 11th June 2016.

6. Enlightiks Business Solutions, Bangalore, India.

Data Scientist at Enlightiks from 01st Aug 2014 to 28th Nov 2014.

7. Technical University of Munich (TUM), Munich, Germany

Post Doctoral Researcher in Electrical Engineering and Information Technology

31st Jan 2014 to 29th July 2014.

8. Manipal Group: Sikkim Manipal Institute of Technology (SMIT), Sikkim, India

Lecturer, Department of Information Technology from 09th Feb 2006 to 11th July 2008.

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Educations

1. Indian Institute of Science, Bangalore, India.

Ph.D, Department of Electronic Systems Engineering, Aug 2008- Dec 2013*.

• Thesis submitted on Dec. 2013* & Ph.D degree awarded on 27th Sept. 2014.

2. West Bengal University of Technology, Kolkata, India.

Master of Engineering (M.E), Information Technology, Dec 2003- Nov 2005.

3. Swami Ramanand Teerth Marathwada University, Maharashtra, India.

Bachelor of Engineering (B.E), Electronics Engineering, Aug 1999- June 2003.

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PAPER PUBLISHED (CONFERENCE & JOURNALS) : 

[1] Jyotirmoy Karjee, A. Dubey, A. Chaudhary,“Coding Unit Partitions using Depth wise Separable Convolution in Versatile Video Coding (VVC)”, IEEE Global Communications Conference, 2023. 

[2] Jyotirmoy Karjee, P. Naik, K. Anand, C. Byadgi, R.B.V Dabbriu, Srinidhi N,“Split Computing based Quantized PoseNet Model for Distributed AI Architecture in IoT-Edge”, IEEE COMSNETS- Demos and Exhibits- 2023. 

[3] C. Byadgi, K. Anand, P. Naik, R. Babu, Jyotirmoy Karjee,“Tensor Codec: Ef ficient Differential Codec for Real-Time AI Inference Communication”, IEEE CONNECT2023. (Presented: Best Paper Award). 

[4] Jyotirmoy Karjee, P Naik S, K. Anand, V.N Bhargav, “ Split Computing: DNN Inference Partition with Load Balancing in IoT-Edge Platform for Beyond 5G”, Measurement: Sensors), Elsevier, 2022. 

[5] Jyotirmoy Karjee, K. Anand, P. Naik, R. Dabbiru, C. Byadgi, N Srinidhi, “Dynamic Split Computing of PoseNet Inference for Fitness Applications in Home IoT Edge Platform”, 14th IEEE International Conference on COMmunication Sys tems & NETworkS (COMSNETS-Demo & Exhibits) pp.430-432, 2022. 

[6] Jyotirmoy Karjee, P. Naik, N Srinidhi, “ Energy Profiling based Load-Balancing Approach in IoT-Edge for Split Computing, 18th India Council International Conference (INDICON), pp. 1-6, 2021.

[7] Jyotirmoy Karjee, K. Anand, V. N. Bhargav, P. Naik, R. Dabbiru, N Srinidhi, “Split Computing: Dynamic Partitioning and Reliable Communications in IoT-Edge for 6GVision”, 8th International Conference on Future Internet of Things and Cloud (FiCloud), pp. 233-240, 2021. 

Core AI: Reinforcement learning, Federated learning Applications: Edge Com puting, Wi-Fi, Wireless Networking 

[8] Jyotirmoy Karjee, P Naik S, N. Srinidhi,“Split Federated Learning and Reinforce ment based Codec Switching in Edge Platform”, IEEE 41st International Conf. on Consumer Electronics, Las Vegas, USA, 2023. 

[9] Jyotirmoy Karjee, S. Khatter, D. Sarkar, H.L. Tammineedi, A.K.R. Chavva,“5G NR Cross Layer Rate Adaptation for VoIP and Foreground/Background Appli cations in UE”, IEEE 5G World Forum, 2020. 

[10] Jyotirmoy Karjee, R. Garg, V. Tijoriwal and A.K.R. Chavva,“A Reinforcement Learning Approach to Handle Radio Link Failure in Elevator Scenario”, IEEE Consumer Communications and Networking Conference, (CCNC)- 2020. 

Core AI: RNN, LSTM Applications: Multimodal (video, audio, text), Wi-Fi, Wire less Networking 

[11] Jyotirmoy Karjee, K.K. Kakwani, K. Anand, P. Naik,“ Lightweight Multimodal Fu sion Computing Model for Emotional Streaming in Edge Platform”, IEEE Con sumer Communications and Networking Conference (CCNC), 2024. 

[12] R. Minu, S.A Divya, B. Ishita, Anubhav P, T. Kumar, J. Ramaprabha, Jyotirmoy Karjee, “Emotion Detection in Multimodal Communication Through Audio Visual Gesture Analysis”, IEEE CONECCT, 2024. 

[13] Jyotirmoy Karjee, N.Srinidhi, G. Dwivedi, A. Bhagavath, P. Ranjan,“A Lightweight Multimodal Learning Model to Recognize User Sentiment in Mobile Devices”, IEEE 41st International Conf. on Consumer Electronics, Las Vegas, USA, 2023. Core AI:Classical Machine Learning Applications: Sensors/IoT/Networking/cloud/5G 

[14] R. Rao, Sushmita B.N, M.S. Nayak, Akilesh N. S, Ramya S, S. Baliga, Jyotirmoy Karjee,“Latency Optimization in SRT Protocol Using Machine Learning For Video Applications”, IEEE CONECCT 2024. 

[15] Jyotirmoy Karjee, “SparseRecoveryofBeamMeasurementsin5GNRmmWave Systems”, 14th IEEE International Conference on COMmunication Systems & NETworkS, (COMSNETS), pp. 639-645, 2022. 

[16] S. Behera, B. Panigrahi, H.Kumar Rath, Jyotirmoy Karjee, “ On Traffic Classifi cation in Enterprise Wireless Networks, IEEE National Conference on Commu nications (NCC), pp-1-6, 2021. 

[17] A.K Verma, Jyotirmoy Karjee, H.K Rath, D. Mitra,“Traffic Prediction Protocol for a Novel Cloud based Self-adaptive Cognitive Radio Network Structure”, 6th International Conference on Recent Trends in Computing, 2020. 

[18] Jyotirmoy Karjee, H.K. Rath, A. Pal,“Efficient Data Prediction, Reconstruction and Estimation in Indoor IoT Networks”, IEEE 6th International Conference on Future Internet of Things and Cloud, 2018. 

[19] S. Behera, H.KRath, Jyotirmoy Karjee, A.Simha,“Assisted Link Prediction (ALP) Protocol in Robotic Communications”, 28th Annual IEEE International Sympo sium on Personal, Indoor and Mobile Radio Communications, 2017. 

[20] Jyotirmoy Karjee, S. Behera, H.K Rath, A. Simha, “Distributed Cooperative Com munication and Link Prediction in Cloud Robotics”, In the proceedings of IEEE International Conference on Sensing, Communication and Networking, Robotics Wireless Networks Workshop, pp-1-7, 2017. 

[21] S. Nagar, Jyotirmoy Karjee, “A Comparative Study of QoS Ranking Prediction Techniques in Cloud Services”, Fifth IEEE International Conference on Ad vances in Computing, Communications and Informatics, pp-2477-2483, 2016. 

Core AI: Statistical Signal Processing Applications: Sensors/IoT, 5G, Wireless Networking, security 

[22] S. Kondabathini, L. Pathak, K. Bynam, Jyotirmoy Karjee, “A Novel Framework to Reduce the Initial Access Latency by Utilizing Multi Resolution Angle of Arrival Estimation in 6G”, IEEE Consumer Communications and Networking Confer ence (CCNC), 2024. 

[23] Jyotirmoy Karjee, H.S Jamadagni,“Information Estimation with Optimal Node Placement in Three Dimensional Distributed Wireless Sensor Networks”, IETE Journal of Research, Taylor and Francis, Vol-63, 2017- Issue 4, pp- 523-535, 2017. 

[24] Jyotirmoy Karjee, Martin Kleinsteuber,“Data Estimation with Predictive Switch ing Mechanism in Wireless Sensor Networks”, International Journal of Sensor Networks, Inderscience Enterprises Ltd., Vol.25, No.3, pp.184- 197, 2017. 

[25] Jyotirmoy Karjee, H.S Jamadagni.“Data Accuracy Model for Distributed Cluster ing Algorithm based on Spatial Data Correlation in Wireless Sensor Networks”, GESJ:Computer Sciences and Telecommunications, No-2(34), pp.13-27, 2012. 

[26] Jyotirmoy Karjee, H.S Jamadagni. “Data accuracy Estimation for Spatially Cor related Data in Wireless Sensor networks under Distributed Clustering” Jour nal of Networks, vol-6, no.7, pp 1072-1083, 2011, (Extended version selected within Top papers from ICISCI-2011). 

[27] JyotirmoyKarjee, H.SJamadagni, “DataAccuracyModelsunderSpatio-Temporal Correlation with Adaptive Strategies in Wireless Sensor Networks”, ACEEE Int. Journal on Network Security, vol-4,Issue-I, page-24-34, 2013, (Extended ver sion of best paper award from Proceedings of 3rd Int. conf. on Recent Trends in Information, Telecommunication and Computing, 2012. 

[28] Jyotirmoy Karjee, H.S Jamadagni, “Energy Aware Node Selection for Cluster based Data accuracy Estimation in wireless sensor networks”, International Journal of Advanced Networking and Applications, vol-3, Issue 5, pp. 1311 1322, 2012. 

[29] Jyotirmoy Karjee, Martin Kleinsteuber, H.S Jamadagni, “Spatial Data Estimation in Three Dimensional Distributed Wireless Sensor Networks”, IEEE Interna tional Conference on Embedded Systems, pp-139-144, 2014. 

[30] Jyotirmoy Karjee, H.S Jamadagni, “Optimal Node Selection using Estimated Data Accuracy Model in Wireless Sensor Networks”, Proceedings of 3rd Int. conference on Recent Trends in Information, Telecommunication and Com puting,Lecture Notes in Electrical Engineering,Springer, vol-150, pp-195-205, 2013. 

[31] Jyotirmoy Karjee, H.S Jamadagni. “Data accuracy estimation for cluster with spatially correlated data in wireless sensor networks”, Proceedings of Int. Con ference on Information Systems and Computational Intelligence Conference Harbin , China. vol-3, pp-284-291, 2011 (Published by IEEE CSNT 2012). 

Core AI/Algorithm: AI/rule based algorithm Applications: XR/AR/VR, wireless networking, Robotics 

[32] Jyotirmoy Karjee, P. Naik, K. Anand, U. Sharma, A. Thakur,“Multi-channel Trans port Scheduler for Extended Reality in Distributed Computing”, IEEE Con sumer Communications and Networking Conference (CCNC), 2024. 

[33] Jyotirmoy Karjee, A. Agrawal, P Ranjan, Srinidhi N, A. Chaubey,“XrSplitComp: eXtended Reality Split Computing based 3D Model Compression Offloading for 5G”, IEEE INDICON, 2023. 

[34] A.K. Varma, Jyotirmoy Karjee, D. Mitra, H.K. Rath, A. Pal,“A Self-Adaptive Net work for Multi-Robot Warehouse Communication” , ComputingJournal, Springer, 2020. 

[35] A.K. Varma, Jyotirmoy Karjee, H.K. Rath, A. Pal,“Dynamic Path Selection for Cloud-based Multi-Hop Multi-Robot Wireless Networks”, IETE Technical Re view, Taylor & Francis, 2020. 

Core Algorithm: Statistics, rule/heuristic Algorithm Applications: IoT, Network security, Cryptography 

[36] S. Roy, U.S Rawat, Jyotirmoy Karjee ,“ A Lightweight Cellular Automata Based Encryption Technique for IoT Applications”, pp-39782-39793, IEEE Access, 2019. 

[37] S. Roy, Jyotirmoy Karjee, U.S Rawat, P. Dayama, N. Dey, “Symmetric Key En cryption Technique: A Cellular Automata based Approach in Wireless Sensor Networks”, Procedia Computer Science, Elsevier, Vol. 78, Pages 408-414, 2016, (Published through Int. Conf. on Information Security and Privacy, 2015). 

[38] Jyotirmoy Karjee,Sudipto Banerjee, “Tracing the Abnormal Behavior of Malicious Nodes in MANET”, IEEE Fourth International Conference on Wireless Commu nications, Networking and Mobile Computing, Dalian, China, pp. 1-7, 2008. 

[39] Jyotirmoy Karjee, ‘Data Security in Dynamic Tour Package Information System”, Proceedings of First Int. Conference on Emerging Technologies and applica tions in Engineering, Technology and Sciences, Rajkot, India. vol-3, pp-2378 2383, 2008. 

[40] S. Bhagoliwal, Jyotirmoy Karjee, “Securing Mobile Data using Cryptography”, International Journal of Advanced Networking and Applications, vol-7, pp-2925 2930, 2016. 

[41] M.M Bharadwaj, Jyotirmoy Karjee, “Improved Cell Coverage in Hilly Areas using Cellular Antennas”, International Journal of Advanced Networking and Applica tions. vol-7, pp-2953-2957, 2016. 


PATENTS FILED (PS/CS) : Patents filed-PS/CS (29+) Indian patents filed with various geographical regiorns, [Indian patents granted: (11), International patents granted: (16) ] updated status 16th July 2026.

Core Algorithm: NLP, Large Language Models (LLM) Applications: multilingual, Tokenization, SentencePiece 

[42] Jyotirmoy Karjee, V. Vanraj, D. Prasanna, “Systems and Methods for Cascading Training and Inference Tokenization for Multi-lingual Langage Langauage Mod els”, Application Number: 202441105209, (PS/CS Filed) .

AI Core: Deep Learning, CNN, LSTM Applications: Split/Edge computing, Multi modal, video, Wi-Fi, Networking 

[43] P. Chakraborty, Jyotirmoy Karjee, C. Byadgi, S. Prasad, E. YIP, “Method and System for Dynamic MultiDevice AI-Model Split For Reduced Capability De vices”, Application Number: 202441011062, (PS/CS Filed). 

[44] Jyotirmoy Karjee, “Method and System for Coding Unit Partition in Versatile Video Coding”, Application Number: 202341050677, (PS/CS Filed). 

[45] Jyotirmoy Karjee, A. Agrawal, P. Ranjan, Srinidhi N, A. Chaubey, “Compression Aided Split AI/ML Model for Lider Based Extended Reality Device for 5G Com munications”, Application Number: 202241038132. (PS/CS Filed). 

[46] Jyotirmoy Karjee, V.N. Bhargav, C. Byadgi, K. Anand, P. Naik S, R.V. Dabbriu, N Srinidhi, “Method for Distributed AI for Split Compute Rendering with Model and media Streaming Compression”, Application Number: 202241038608, (PS/CS Filed).

[47] P. Ckakaborty, Srinidhi N, J. Kainth, N.R. Thurlapati, R.B. Dabriru, Jyotirmoy Karjee, ,“Systems & Method for Adaptive Streaming in AI model Transfer”, Ap plication Number: 202141051968, (PS/CS Filed). 

[48] Jyotirmoy Karjee, at all , “METHOD AND SYSTEM FOR DYNAMIC PARTITION OF DEEP NEURAL NETWORKS INFERENCE IN IOT EDGE NETWORK ”, Application Number: 202141012716 (PS/CS Filed, Patent Granted: IND, US). 

[49] Jyotirmoy Karjee, at all , “METHOD AND SYSTEM FOR LOAD BALANCING IN SPLIT COMPUTING APPLICATIONS ”, Application Number: 202141023357 (PS/CS Filed, Patent Granted: IND). 

[50] Jyotirmoy Karjee, K.K Kakwani, K. Anand, N. Srinidhi, S. Prasad, “Method and Systemfor Computing Mutimodal Fusion For Emotional Streaming in EdgePlat form”, Application Number: 202341027683, (PS/CS Filed). 

[51] C.S Byadgi, K.Anand, P.Naik, A.Kumar, Srinidhi N, R.B.V.Dabbiru, Jyotirmoy Karjee, S.P.Gundur, “Method and devices for managing communication of arti ficial intelligence data between devices”, Application Number: 202341002496. (PS/CS Filed, Patent Granted: EP) 

AI Core: Reinforcement Learning, Federated learning, Applications: Edge com puting, 5G, Codec, Wi-Fi 

[52] Jyotirmoy Karjee, R.V. Dabbriu, N Srinidhi, P. Chakroborty, E. Ching Yip,“Method for optimal split Federated Learning and Reiforment Learning based Codec Switching in Edge Platform”, Application Number: 202241024705. (PS/CS Filed, Patent Granted: IND). 

[53] Jyotirmoy Karjee, A.K.R. Chavaa, Shubhneet, Moses Manoj., Venkatesh, D. Sarkar, Laxman, “Systems and methods for intelligent throughput distribution amongst applications of a user equipment”, Application Number: 201941030785, (PS/CS Filed, Patent Granted: US, EP). 

[54] S. Yoon, A. Chaturvedi, Jyotirmoy Karjee, K. Sharma, S.K. Vankayala, S. Agar wal, “In-depth reinforcement learning based smart disability mitigation frame work for 5G and more networks ”, Ref No: GH-202407-008-1, (Filed in South Korea) 

[55] Jyotirmoy Karjee, V. Tijoriwala, R. Garg, A.K.R. Chavva,“A REINFORCEMENT LEARNING APPROACH TO HANDLE RADIO LINK FAILURE IN ELEVATOR SCENARIO”,Application Number: 201941016002, (PS/CSFiled, PatentGranted: IND).

 [56] R. Agrawal, Jyotirmoy Karjee, R.M.M Kumar, S. Guha , “METHOD AND SYS TEM FOR MANAGING HANDOVERS IN DUAL CONNECTIVITY CONFIGU RATION”, Application Number: 202041020384. (PS/CS Filed, Patent Granted: IND). 

[57] Jagadeesh G, K. Roy, D.E. Hashmi, A. Sen, Jyotirmoy Karjee, L. Kumar, “Meth ods for Systems for Performing Network Slice Reslection by a user Equipment”, Application Number: 202341055290, (PS/CS Filed). 

[58] D.E. Hashmi, J. Ganddikota, B.K Asthana, Jyotirmoy Karjee, ,“System and Method to Handle Data in Multi Slice Environment”, Application Number: 202241000857, (PS/CS Filed, Patent Granted: IND). 

AI Core: Statistical signal processing, Classical Machine Learning Applications: Robotics, IoT, 5G 

[59] Jyotirmoy Karjee, S. Behera, H.K Rath, A. Simha, “METHOD AND SYSTEM FOR COMMUNICATION LINK PREDICTION IN A DISTRIBUTED ROBOTIC NETWORKS”,ApplicationNumber: 201721002921, (PS/CSFiled, PatentGranted: IND, US, EP). 

[60] Jyotirmoy Karjee, A.K.R. Chavaa, “METHOD AND SYSTEM FOR SPARSE RE COVERY OF BEAM MANAGEMENTS IN MILILIMETER WAVE SYSTEM FOR 5G-NR”, Application Number: 201941044690, (PS/CS Filed). 

[61] S. Behera, H.K Rath, Jyotirmoy Karjee, A. Simha,“SYSTEM AND METHOD FOR ASSISTED LINK PREDICTION MECHANISM IN ROBOTIC COMMUNI CATIONS”, Application Number: 201721028535, (PS/CSFiled, Patent Granted: IND, US, EP). 

[62] Jyotirmoy Karjee, H.K Rath, A. Pal “DATA ANALYSES USING COMPRESSIVE SENSINGFORINTERNETOFTHINGS(IOT)NETWORKS”, Application Number: 201821006047, (PS/CS Filed, Patent Granted: IND, US, EP). 

[63] Jyotirmoy Karjee, H.K Rath, A. Pal, A. Verma, “SYSTEM AND METHOD FOR MULTI-HOP PATH SELECTION FOR MOBILE ROBOTS BASED ON CLOUD PLATFORM”,Application Number: 201821041345, (PS/CSFiled, PatentGranted: IND, US, EP). 

[64] H.K Rath, S.M Nadaf, B. Panigrahi, Jyotirmoy Karjee, S. Shailendra, A. Bhat tacharya, G. Misra, A. Pal, P. Balamurulidhar,“SYSTEM AND METHOD FOR ENABLING INTELLIGENT NETWORK SERVICES BY COGNITIVE SENSE ANALYSEDECIDERESPONDFRAMEWORK”,ApplicationNo: 201821034028. (PS/CS Filed, Patent Granted: IND, US, EP, JP, AU). 

Core: Algorithm Applications: XR, Wireless Networking, Multimodal/Audio, edge computing 

[65] Jyotirmoy Karjee, K.R. Kakwani, K. Anand, S. Prasad, “Method and System of Real Time End-to-End Avatar Generation and Caching”, Application Number: 202441032590, (PS/CS Filed). 

[66] S. Yoon, Jyotirmoy Karjee, S.K. Vankayala, S. Gugral, “Multimedia Data Ren dering for Extended Reality Communications with Edge Assistance in 5G net works”, Ref No: J2024-11-0538/GH-202411-025-1 (Filed in South Korea). 

[67] S. Yoon, Jyotirmoy Karjee, S.K. Vankayala, Shraddha, Srinidhi N, “ Methods and Systems for device power saving through cross-layer design approach using Adaptive DRX mechanism for immersive communications”, Ref No: J2024-03 0599/GH-202403-003-1 (Filed in South Korea). 

[68] Jyotirmoy Karjee, P. Naik, K. Anand, S.P. Prasad, R. Babu,“A video See Through Multichannel Transport Schedular in DIstributed Computing”, Application Num ber: 202341050886, (PS/CS Filed). 

[69] E.Yip, P.Chakraborty, C. Byadgi, Jyotirmoy Karjee, S.P Gundur, “Method and apparutus for providing AI and ML Media Service in wireless communication system”, Application Number: 202311066827, (PS/CS Filed). 

[70] Jyotirmoy Karjee, T.Rain, R.Surana, B.Shah, S.P Gundur, “Method and system for selective transmission ofaudiosignalsduring call session”, Application Number: 202641000335, (PS Filed) 

Invited Speaker & Guest of Honor:

• Invited as keynote speaker at BITS-PILANI to deliver a talk on Split Computing: Deep Neural Networks Inference Partition in Distributed Computing extending to Generative-AI Applications on 20th Sept 2025. 

• Invited as keynote speaker at Atal Bihari Vajpayee Indian Institute of Information Technology and Management (IIIT-M), Gwalior in the department of Information Technology to deliver a talk on Split Computing Technology and DNN Partition on 14th Sept 2024. 

• Invited as keynote speaker for one day workshop on Emerging Research Trends and Practices of SOftware Industries held on 8th May, 2023, and delivered a talk on Split Computing: Deep Neural Networks Inference Partition in Distributed Computing at Assam University, Shilchar, Assam. 

• Invited as keynote speaker for Industry Academia Conclave held on 24th March, 2023, and delivered a talk on Deep Neural Networks Inference Partition in Edge Platform at Vellore Institute of Technology, Vellore. 

• Invited as keynote speaker for 5th IEEE CINE conference in association with KIIT Bhubaneswer and ISI-Kolkata held on 1st Dec-2022, and delivered a talk on Split Computing: Deep Neural Networks Inference Partition in IoT-Edge Platform.

 • Invited as keynote speaker and delivered a talk on Analytics in Cloud-IoT and Wireless Networks at KLS Gogte Institute of Technology, Belagavi, 29th Jan 2019. 

• Invited as keynote speaker and delivered a talk on “The Role of Communication Networks in Internet of Things (IoT) Specific Uses” at Rajarajeswari College of Engineering, Bangalore on 16th Dec 2017. 

• Invited as keynote speaker and delivered a talk on “The Role of Communication Networks in Robotics and UAV’s Specific Uses” at Viswajyoti College of Engi neering and Technology, Kerela on 13th Dec 2017. 

• Invited as keynote speaker and delivered a talk on “5G for Internet of Things Applications” at Christ University, Bangalore on 23rd May, 2017. 

• Invited as a guest of honour (/chief guest) to deliver the keynote address for NCIC3 2017 held at Sir M. Visvesvaraya Institute of Technology, Bangalore on 17 th May 2017 and delivered a talk on “The role of Internet of Things in Cloud platform”. 

• Invited as keynote speaker and delivered a talk on “Statistical Analysis of Net work Data in Cloud platform for Internet of Things Applications” at Indian Sta tistical Institute, Kolkata on 18th April, 2017.

• Invited as keynote speaker and delivered a talk on “Internet of Things in Cloud platform” at Cooch Behar Government Engineering College on 12th April, 2017. 

• Delivered a talk on “The Role of Cloud Infrastructure for IoT Specific Use cases” at Tata Consultancy Services on 10th Feb. 2017. 

• Delivered talk on “Data Accuracy Estimation Models in Wireless Sensor Net works” at Technical University of Munich, Germany, on 17th Feb. 2014.  

REFEREE SERVICE:


AWARD AND SCHOLARSHIP:

• Received Samsung Excellence Award for Research to Development for working on the areas of Research to Market, Patents and Publications, building creative culture and enhancing software development ecosystem, 2022. 

• Received Samsung Citizen Award in the category of Technology Excellence (Ad vanced Development) in Visual Intelligence group; and also received recognition as M.D Special Mentioned (as a team member of Visual Intelligence Group) for Q4, 2020 at Samsung, Bangalore. 

• Selected two times as the winner of AIP Anchor Award in appreciation of effort towards Academic Interface Programme at Tata Consultancy Services, 2017. 

• Recipient of IP Creation Award for filing multiple patent at Tata Consultancy Ser vices in the year 2016-2017. 

• Recipient of scholarship/fellowship under the HERITAGE Eramus Mundus Ac tion 2 project, on a post-doc in Technical University of Munich, Germany, 2014. 

• Recipient of Best Paper Award for ”Optimal Node Selection using Estimated Data Accuracy Model in Wireless Sensor Networks” in 3rd Int. conf. on Recent Trends in Information, Telecommunication and Computing, 2012. 

• Recipient of full scholarship from Ministry of Human Resource and Develop ment (MHRD), INDIA covering studies for PhD degree, in the year 2008-2013.