School of Technology

Education:

MBA, University of Girona
PhD of Informatics (AI), Autonomous University of Barcelona
Specializations:  Blockchain, intelligent agents, virtual currencies, digital preservation, and their applications.

Research:
Jose Luis de la Rosa Esteva (2024), EP 4 404 124 A1 - Method and device for creating trustworthy agreements between different network nodes of a blockchain network to compensate for digital assets.
Josep Lluis de la Rosa and Andres el-Fakdi, Method, system and computer programs for value preservation of digital assets of a distributed computing platform (CADO).
Josep Lluis de la Rosa, Andres el-Fakdi, and Victor Muñoz, Method, system and computer programs for value preservation of digital assets among members of a distributed computing platform (Entangled Tokens)
Josep Lluis de la Rosa, Viktor Nordström, and Victor Muñoz: A Computer-Implemented Method, a System, and Computer Programs for Digital Files Management and Preservation in Digital Licenses

Publications:
Esteva, Peplluis R., Andrés El-Fakdi, and Alberto Ballesteros-Rodríguez. (2023) Invoice Discounting Using Kelly Criterion by Automated Market Makers-like Implementations.
El-Fakdi A, de la Rosa JL., Evaluating Auction Mechanisms for the Preservation of Cost-Aware Digital Objects under Constrained Digital Preservation Budgets.
Josep Lluis de la Rosa (2021) Potential Sources of IoV Systemic Risk.
Josep Lluis de la Rosa (2020) Rewarding Recycling Plastic Proof of Concept with Tokenization and Smart Contracts in Alastria

Memberships:
Centre of Blockchain of Catalonia (CBCat.io)
Association of Artificial Intelligence Catalonia

Interests:
Entrepreneurship, CTO, Product Owner, R+D Project Mgt, Blockchain, DLT, DeFi, Tokenization

Education:

• B.Tech (CSE)
• M.Tech (CNIS)
• Ph.D. (Cyber Security)

Specialisation:

Computer Networks & Information Security

Research:

       Federated Learning, Deep Learning for Malware Detection, AI for Securing IoT Devices, AI & Deep Learning for Self-Driving Cars.

Publications :

• Deshmukh, A., & Ravulakollu, K. (2024). An Efficient CNN-Based Intrusion Detection System for IoT: Use Case Towards Cybersecurity. Technologies, 12(10), 203. doi: 10.3390/technologies12100203
• Deshmukh, A.; Esteva de la Rosa, P.; Villamarin Rodriguez, R.; Dasari, S. (2025). Enhancing Privacy in IoT-Enabled Digital Infrastructure: Evaluating Federated Learning for Intrusion and Fraud Detection. Sensors, 25(10), 3043. doi: 10.3390/s25103043
• Deshmukh, A., & Ravulakollu, K. K. (2025). Advanced Approaches for Malware Detection in IoT Networks: A Comprehensive Evaluation. In Intelligent Computing and Communication: Proceedings of 7th ICICC 2024, Volume 1 (Lecture Notes in Networks and Systems, vol. 1240). Springer, Singapore, pp. 131–146. doi: 10.1007/978-981-96-1264-2_13

Education:

Ph.D English and Comparative Literature- Translation Studies; M.Phil English and Comparative Literature;  M.A. English Language and Literature

Specialisation:

English Language and Literature; Communication Skills; Translation Studies

Research:

Revolves around the Intricate Interactions between Culture, Language and Translation Studies with an emphasis on the significance of context in translation

Publications:
1. “Relevance Theory (RT) as a Communicative Paradigm: The Gospel According To John In Translation” in Think India (Quarterly Journal), October 2019, Vol.22, Special Issue (7), 92-100. ISSN 0971-1260
2. “Translation as Interpretations: English Bible Translations” in REYONO Journal of Interdisciplinary Studies, January 2019, Vol.8, Issue (1), 36-48. ISSN 2277-7652
3. “Translating The Gospel According to John: Dimensions of Space and Culture” in Translation Today, by National Translation Mission, Dec 2018, Vol.12, Issue (2),63-82. ISSN 0972 8740
4. “Context in Translation: A Comparative Assessment of KJV and TEV translations of the Bible’ in Bodhi International Journal of Research in Humanities, Arts and Science, November 2018, Vol.3, Issue (2), 102-107. E-ISSN : 2456-5571
5. “Translating The Gospel According to John: Challenges and Opportunities in Journal in New Man International Journal of Multidisciplinary Studies, Feb 2018: Vol.5, Issue (1), 179-183. ISSN: 2348-1390

Courses Taught:
Business Communication, Communication Skills, English Language and English Literature

Memberships:
ELTAI (English Language Teachers Association of India)

Education:
Master of Science (MS) ; MBA from Stuart School of Business, IIT; PhD (in progress) from XLRI,

Specialisation:  
Consulting Experience, Banking and Financial Services, Investment Banking, Digital Transformation, Product Management, Leadership, Entrepreneurship, Strategy Management, Risk Management, Change Management, Agile Project and Portfolio Management, Experience in establishing Centers of Excellences (CoEs) in AI/ML, Big Data Analytics, Blockchain and Cloud Computing.

Industry Experience:
25 years.

Memberships:
Hyderabad FinTech Forum

Education:

JSPS Postdoctoral Fellow to Kyoto University, Japan [2011-2013]; PhD in Indian History from Jawaharlal Nehru University; M.Phil in Economic History of India from Sambalpur University; MA in History with Indian Culture Specialization from Sambalpur University;

Specialisation:
South Asian Studies, Indian History, Global and Legal History, Cultural Anthropology

Research:
State Formation, Question of Legitimation, Social Transformation, Vernacular Language Policy, Politics of Identity, Tribal Studies and History of Princely State

Publications:
1. Mishra, B. (2015) Kingdom at the Crossroads: Geopolitics of the Khurda Kingdom in Early Modern Orissa, Journal of South Asian Studies, Vol.3 (01), 2015, pp.1-14, Lahore. ISSN 2307-4000.
2. Mishra, B. (2014) State Formation in Early Modern Orissa: Ecology and Geopolitics in Sambalpur Kingdom, Journal of South Asian Studies, Vol.20-2, 2014, pp.163-196, Seoul. ISSN 1598-1061
3. Mishra, B. (2012) Processes of Legitimacy: The Case of Khurda, Orissa, Exploring History, Vol.3,No- 1, January-June, 2012 pp.52-63 P.G College Malda, West Bengal. ISSN 2230-8490 [UGC CARE]
4.Mishra, B. (2012) Fabled Orissa: A Critique, Journal of North East India Studies, Vol. 2, No. 1, Jan.- Jun.2012, pp.76-80. ISSN 2277-6869 http://www.jneis.com/ojs/index.php/jneis/article/view/25/24
5. Mishra, B. (2012) Social Structure Of Western Orissa Under The Chauhans Of Sambalpur, Journal of History & Social Sciences, Vol. III, Issue. I, January-June, 2012, Allahabad. ISSN 2229-5798. P.1 jhss.org/archivearticle.php?vol=Vol%204

Memberships:
• Chair Holder of Prof. Dipesh Chakrabarty History Chair at Woxsen University, Hyderabad
• Co-Chairperson-Centre of Excellence-South Asian Studies, Woxsen University, Hyderabad.
• Editorial Board Member, Puducherry World History Congress [PWHC]
• Affiliated as an academic collaborator at the Marginalized and Endangered Worldviews Study Centre (MEWSC) at University College Cork, Ireland.

Courses Taught:
World Civilization,  Modern Europe, Internal Relation,  Indian History, Research Methodology

Education:

Bachelor of Technology from Indian Institute of Technology, Madras; Master of Science from University of Notre Dame; Ph.D. from University of Notre Dame

Publications:

• 'Kummamuru, R., Soh, YA. Electrical effects of spin density wave quantization and magnetic domain walls in chromium. Nature, Apr 17 2008, 452, 859–863 (2008). https://doi.org/10.1038/nature06826
• 'Ravi K. Kummamuru, Lito De La Rama, Liang Hu, Mark D. Vaudin, Mikhail Y. Efremov, Martin L. Green, David A. LaVan, Leslie H. Allen; Measurement of heat capacity and enthalpy of formation of nickel silicide using nanocalorimetry. Appl. Phys. Lett. 2 November 2009; 95 (18): 181911. https://doi.org/10.1063/1.3255009
• 'R. K. Kummamuru, A. O. Orlov, R. Ramasubramaniam, C. S. Lent, G. H. Bernstein and G. L. Snider, "Operation of a quantum-dot cellular automata (QCA) shift register and analysis of errors," in IEEE Transactions on Electron Devices, vol. 50, no. 9, pp. 1906-1913, Sept. 2003, doi: 10.1109/TED.2003.816522.
• 'Ravi K. Kummamuru, John Timler, Geza Toth, Craig S. Lent, Rajagopal Ramasubramaniam, Alexei O. Orlov, Gary H. Bernstein, Gregory L. Snider; Power gain in a quantum-dot cellular automata latch. Appl. Phys. Lett. 12 August 2002; 81 (7): 1332–1334. https://doi.org/10.1063/1.1499511
• 'Orlov, Alexei O. and Kummamuru, Ravi and Ramasubramaniam, R. and Lent, Craig S. and Bernstein, Gary H. and Snider, Gregory L.; A Two-Stage Shift Register for Clocked Quantum-Dot Cellular Automata. Journal of Nanoscience and Nanotechnology; 01 July 2002; 2 (3-4): 351-355. doi:10.1166/jnn.2002.109

Education:

B.E (Computer Science and Engineering ) from Anna University; M.E (Software Engineering) from Anna University ; PhD from 'Noorul Islam University

Specializations:

'Cloud Computing, Cyber Security, Java Full Stack Development, Artificial Intelligence, Machine Learning, Deep Learning

Memberships:

'Life Member - Indian Society for Technical Education (ISTE), Life Member - International Association of Engineers (IAENG), Life Member - International Computer Science and Engineering Society (ICSES), Life Member - Indgiants Association of Educators and Professional Trainers (IAEPT) ,Senior Member Universal Association of Computer and Electronics Engineers (UACEE)

Publications:

• 'An effective multi-objective task scheduling and resource optimization in cloud environment using hybridized metaheuristic algorithm
• 'Quantum Behaved Particle Swarm Optimization‐Based Deep Transfer Learning Model for Sugarcane Leaf Disease Detection and Classification
• 'A Single‐Layer S/X‐Band Shared Aperture Antenna with MIMO Characteristics at X‐Band for Airborne Synthetic Aperture Radar Applications
• 'Design of a multi-constraint PSO for resource allocation and task scheduling
• 'Task Scheduling in Cloud Using Resistive and Ranking Meta-Heuristic Optimization Approach

Education:

Ph.D. in Mechanical Engg., MNIT, Jaipur, Master's in Automotive Engg., Coventry University, UK

Specialisation:

Advanced Manufacturing Processes, CAD/CAM, Sustainable Finishing, Robotics, Automobile Engines

Research:

Sustainable Processing, Design & Optimization of F1 student sports car, Variable Part Programming.

Publications:

1. Swarm Intelligence in Action: Particle Swarm Optimization and Rendezvous Algorithms for Swarm Robotics https://doi.org/10.1002/rob.22466
2. Experimental investigations into magnetic-assisted vacuumized abrasive finishing setup for finishing internal surfaces https://doi.org/10.1142/S2737599424400176
3. Medical Imaging and Analysis of Thermal Necrosis During Bone Grinding: Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-III) in Healthcare http://dx.doi.org/10.2174/0115734056284074231222042746
4. Investigation and enhancement of mechanical properties of SS-316 weldment using TiO2-SiO2-Al2O3 hybrid flux, Int J Interact Des Manuf , 2023. https://doi.org/10.1007/s12008-023-01198-8. (ESCI-0.43) https://doi.org/10.1007/s12008-023-01198-8
5. Mechanical Test on Aluminum Alloy with Maximum Soluble SiC Reinforcement”, Advances in Materials Science and Engineering, Hindawi, 2022, https://doi.org/10.1155/2022/9848928. (SCI-0.4)

Memberships:

IEEE Member; IEI Life time member

Courses Taught:

CAD/CAM, Operations Rsearch, Autonoumous Mobile Robots, Cyber threat Intelligence, Computer Networks, Industrial Engineering, Medical Robots, Applied Hydraulics, Engineering Drawing

Education:

Ph.D. in Electrical, DIT University, Dehradun; M. Tech in Power Electronics, JNTU, Hyderabad; B. Tech in Electrical & Electronics Engineering, JNTU, Hyderabad

Specialization:

Power Electronics & Drives, Renewable Energy - Solar PV System

Research:

Mitigation of Solar PV power generation fluctuations using energy storage device, Supercapacitor Energy Storage System

Publications:

1. https://doi.org/10.1016/j.prime.2024.100861
2. https://doi.org/10.1108/WJE-08-2024-0442

Courses Taught:

Engineering Concepts in IoT

Education:

Ph.D. (Physics) University of Hyderabad, Telangana State, India; M.Sc.,Physics - Dr. R M L Avadh University Faizabad, U.P, India; B.Sc., Physics, Mathematics - Dr. R M L Avadh University Faizabad, U.P, India

Specialisation:

Quantum optics, Quantum random number generators, Quantum key distribution

Research:

Quantum optics, Quantum information, Quantum cryptography, Quantum Teleportation, Quantum error correction, Quantum random number generators, Quantum computing

Publications:

1. Nonclassical photon statistics and bipartite entanglement generation of excited coherent states. Quantum Inf Process 19, 297 (2020),
2. Long-time dynamics of a vertical-cavity surface-emitting laser under optical feedback. Pramana - J Phys 92, 59 (2019),
3. free space communication, Optik, Volume 127, Issue 19, 2016, Pages 7578-7585, ISSN 0030-4026,

Education:

Ph.D. (Physics) from IIT Guwahati

Specialisation:

Experimental Condensed Matter Physics

Research:

High k and low loss materials (Dielectric Resonators), Energy storage materials, Oxide thin films, ferroelectrics, antiferroelectrics, Advanced ceramics, Electrocaloric effect

Publications:

1. T Santhosh Kumar, RK Bhuyan, D Pamu, Effect of post annealing on structural, optical and dielectric properties of MgTiO3 thin films deposited by RF magnetron sputtering, Applied surface science 264, 184-190 (2013). https://doi.org/10.1016/j.apsusc.2012.09.168
2. T Santhosh Kumar, W Huang, X Du, C Yao, Y Ke, J Wu, N Qin, D Bao, Sm-doping induced large enhancement of antiferroelectric and energy storage performances of (111) oriented PbZrO3 thin films, Ceramics International 45 (17), 23586-23591 (2019). https://doi.org/10.1016/j.ceramint.2019.08.069
3. J Wu, Q Xu, E Lin, B Yuan, N Qin, T Santhosh Kumar, D Bao, Insights into the Role of Ferroelectric Polarization in Piezocatalysis of Nanocrystalline BaTiO3, ACS applied materials & interfaces 10 (21), 17842-17849 (2018). https://doi.org/10.1021/acsami.8b01991

Courses Taught:

Engineering Physics

Education:

Ph.D.

Specialisation:

Biomedical Engineering

Research:

Lab on chip, Biosensors, Sustainability, Healthcare technologies

Publications:

1. https://pubs.acs.org/doi/abs/10.1021/acs.accounts.9b00192,
2. https://pubs.acs.org/doi/abs/10.1021/acsnano.0c10008,
3. https://onlinelibrary.wiley.com/doi/abs/10.1002/smll.201602902

Courses Taught:

Societal Project Theory

Education:

Ph.D.

Specialisation:

Sociolinguitics (Linguistics & Phonetics) 

Research:

Rhetoric, Discourse analysis, Pragmatics, Language and Disocurse 

Publications:

Jahnavi Sanskrit Journal (ISSN 0976-8645) : Passing through transition time phase our India needs that the vacuum between our traditional root value, heritage and modern young generation must be covered. This site is an attempt to create a place, from where you can find all the important e-resource regarding Sanskrit. (jahnavisanskritejournal.in)

Education:

Ph. D (IIT Hyd), Researcher (Nihon University Japan)

Research:

IOT-ML, Graph Neural Networks, Applied Block Chain technology, Climate prediction with AI, Computer vision

Education:
Ph.D.

Research:
Cyber Security, Digital Forensic, Cryptography, VAPT, Mobile Forensic , Malware Analysis, Network Security , Cloud Computing

Education:
Ph.D (ongoing ) | M.Tech CSE ( specialization in Information Security) | B.Tech Information Technology

Teaching Interest:
Computer Organization and Architecture, Software System Design, Vulnerability analysis and Penetration Testing , Ethical Hacking , Cryptography and Network Security, Information security audit and assurance, Multimedia security, Intrution Detection and Prevention Systems, ERS - Sustainable Development.

Education:

Ph.D. Mechanical Engineering; Registered Professional Engineer (COREN)

Publications:

https://scholar.google.com/citations?hl=en&user=nDZFLMQAAAAJ&view_op=list_works&sortby=pubdate

Teaching Interest:

Biomass Energy Conversion, Material Characterization, Mechanical Engineering Design, Modelling and Simulation

Education:

Ph.D. in Computer Science, FUT Minna (Nigeria), M.Sc. Ilorin (Nigeria).

Specialisation:

Privacy-Preserving Computation, Formal Languages and Grammar, Software Process and Project Mgt., Computer Architecture Cyber Secure Computing, AI & E-Learning.

Research:

Privacy-Preserving Data Mining, Homomorphic Encryption, E-Proctoring, Application of Machine Learning Algorithms.

Education:

• B.Tech from Jyothishmathi Institute of Technology and Sciences
• M.Tech from Jawaharlal Nehru Technological University
• Phd (in Progress) from National Institute of Technology, Warangal

Specialization:

Wireless Communications, Blockchain, Artificial Intelligence, Machine Learning, IoT, CyberSecurity

Publications:

• V. Roopa and H. S. Pradhan, “Mathematical modeling and performance evaluation  of Beran for 6G Wireless Networks,” The Journal of Supercomputing, 2023. DOI: https://doi.org/10.1007/s11227-023-05321-0
• R. Vuppula and H. S. Pradhan, “Blockchain‐oriented location privacy preserving for cooperative spectrum sensing in 6G Wireless Networks,” IET Blockchain, vol. 3, no. 2, pp. 74–97, 2023. DOI: https://doi.org/10.1049/blc2.12025
• V. Roopa and H. S. Pradhan, “Smart contract implementation on network sharing for 6G Wireless Networks,” Annals of Telecommunications, Jan. 2024. DOI:10.1007/s12243-023-01007-z.
• V. Roopa and H. S. Pradhan “Deep Learning for Spectrum Sensing in Intelligent Wireless Networks” IETE Journal of Research. https://doi.org/10.1080/03772063.2024.2386599
• V. Roopa and H. S. Pradhan “Exploring Blockchain and Artificial Intelligence for 6G Wireless Networks – A Review” IEEE Journal of Communications and Networks. (Accepted).  

Education:
B.Sc. (Computer Science) from Osmania University; M.C.A. (Master of Computer Applications) from Osmania University; PhD from B.S. Abdur Rahman Crescent Institute of Science & Technology

Specialisation: 
Feature Selection/Feature Engineering Models, Machine Learning, Data Mining, Predictive Modeling, Deep Learning, Big Data

Memberships:
Nature Scientific Reports, IEEE, Elsevier, Springer, IGI

Publications:
1. Novel Feature Reduction (NFR) Model with Machine Learning and Data Mining Algorithms for Effective Disease Risk Prediction
2. Advanced hybrid ensemble gain ratio feature selection model using machine learning for enhanced disease risk prediction
3. Ensemble Gain Ratio Feature Selection (EGFS) Model with Machine Learning and Data Mining Algorithms for Disease Risk Prediction
4. Bio inspired Ensemble Feature Selection (BEFS) Model with Machine Learning and Data Mining Algorithms for Disease Risk Prediction

Education:

B Tech (ECE) from JNTUH Hyderabad/ PRIYADARSHINI COLLEGE OF ENGINEERING, SULLURUPETA; M Tech (VLSI SYSTEM DESIGN) from JNTUA/ SITAMS CHITTOOR; Ph.D. (in progress) from 'VELLORE INSITUTE OF TECHNOLOGY, VELLORE

Specializations:

'IoT and MACHINE LEARNING

Memberships:

'Dr S SUNDAR VIT VELLORE, Dr JOGI. SREENIVASULU, NIT TIRUCHY

Publications:

• M.Rajeswararao. and Sundar.S, “Enhanced LoRaWAN Performance through Advanced Spread Factor Allocation Empowered by Machine Learning”. Journal in “Engineering Research Express”, (SCI, Impact factor: 1.5) (Published on 29 Nov 2024).
• Published a paper M.Rajeswararao. and Sundar.S, “Enhancement in Optimal Resource-based Data Transmission over LPWAN using a Deep Adaptive Reinforcement Learning Model aided by Novel Remora with Lotus Effect Optimization Algorithm”. Journal in “IEEE ACCESS”. (SCI, Impact factor: 3.9) (Published on 29 May 2024).
• 'Published a paper M.Rajeswararao. and Sundar S, “An Efficient Method for Optimal Allocation of Resources in LPWAN using Hybrid Coati-Energy Valley Optimization Algorithm Based on Reinforcement Learning”. Journal in “IEEE ACCESS”. (SCI, Impact factor: 3.9) (Published on 18 Nov 2023).

Education:

B. Sc. (Electronics) from Rani Durgavati University Jabalpur MP; MCA from Rajiv Gandhi Technological University, Bhopal MP; M.Phil from 'APS University Rewa MP; PhD from 'AKS University Satna MP

Specializations:

AI, Data Science, Machine Learning, Deep Learning, NLP, Data Warehousing and Data Mining, Image Processing, and Fault Tolerance in Distributed Storage

Publications :

• 'Design And Implementation Of An Ensemble Model For Predicting Hard Drive Failure
• 'Hard Disk Drive Failure Prediction In The Data Center Using Ensemble Learning With Deep Neural Network Model
• 'An Artificial Intelligence And Cloud Based Collaborative Platform For Plant Disease Identification, Tracking And Forecasting For Farmers
• 'A New Approach For Prediction Of Road Accidents By Using Data Mining Techniques
• 'Hard Disk Failure Prediction using Federated Learning: A Privacy Preserving Approach

Education:

• B A English Language and Literature from Calicut University
• MA English and Comparative Literature from Pondicherry University
• Mphil in English from Gandhigram Rural Institute, Dindigul
• PhD from Pondicherry University

Specializations:

Indian Poetry, Digital Literary Curation, Publishing Industry and Representation, Film Studies, Creative Writing Pedagogy

Publications :

• ‘Nations an Inventions: A Study of Amitav Ghosh’s The Shadow Lines’ Journal:  Research Scholar ISSN 2249-6696 Year: 2014
• ‘The Ethno-Religious Consciousness in Rohinton Mistry’s critique of Nationalism in Such a Long Journey’ Journal:  IJELLH (International Journal of English Language, Literature in Humanities). v. 6, n. 8, p. 8, aug. 2018. ISSN 23217065. Year: 2018
• ‘Poems Take on Poetry: A Letter to the Mainstream from the Margins’ Journal: IJELLH (International Journal of English Language, Literature in Humanities). v. 6, n. 10, p. 10, oct. 2018. ISSN 2321-7065. Year: 2019

Education:

• B.Tech from JNTU, Hyderabad
• M.Tech from JNTU, Hyderabad
• PhD from Lovely Professional University, Punjab

Specializations:

Renewable Energy Resources, Electric Vehicles (EVs), Distribution Systems, Distributed Generators, Optimization Methods

Memberships:

IEEE Member

Publications :

• ‘Transforming food waste into energy: A comprehensive review’ S Kakkar, N Dharavat, SK Sudabattula - Results in Engineering, 2024
• ‘Techno-economic analysis of distribution system at various load models using MEWOA algorithm’, R Zangmo, SK Sudabattula, N Dharavat, S Mishra, Scientific Reports, 2025
• 'Optimal allocation of renewable distributed generators and electric vehicles in a distribution system using the political optimization algorithm’ N Dharavat, SK Sudabattula, S Velamuri, S Mishra, Energies, 2022
• 'Impact of plug-in electric vehicles on grid integration with distributed energy resources: A review’ N Dharavat, NK Golla, SK Sudabattula, S Velamuri, Frontiers in Energy Research, 2023
• 'Optimal placement of renewable distributed generators and electric vehicles using multi-population evolution whale optimization algorithm’ R Zangmo, SK Sudabattula, N Dharavat, Scientific reports, 2024

Education:

• B.Sc. Chemistry from RCM Science College
• M.Sc. Chemistry from Berhampur University
• PhD from NIT Rourkela

Specializations:

Metals in Biology, Anticancer Agents, Metallodrugs, Organometallics, Ferrocene Chemistry, Air-sensitive reactions

Memberships:

Life member at Orissa Chemical Society

Publications :

• 'Gurunath Sahu, Sushree Aradhana Patra, Sudhir Lima, Sanchita Das, Helmer Görls, Winferd Plass*, Rupam Dinda*, Ruthenium (II)‐dithiocarbazates as Anticancer Agents: Synthesis, Solution Behavior, and Mitochondria‐targeted Apoptotic Cell Death, Chemistry: A European Journal, 2023, e202202694.
• 'Gurunath Sahu, Sushree Aradhana Patra, Pratikshya Das Pattanayak, Werner Kaminsky,  Rupam Dinda, ‘LVVO-Ethyl Maltol-Based Metallodrugs (L2– = Tridentate ONO Ligands): Hydrophobicity, Hydrolytic Stability, and Cytotoxicity via ROS-Mediated Apoptosis’ Inorganic Chemistry, 2023, 62, 6722–6739
• 'Gurunath Sahu, Atanu Banerjee, Rajib Samanta, Monalisa Mohanty, Sudhir Lima, ERT Tiekink, Rupam Dinda*, Water-Soluble Dioxidovanadium(V) Complexes of Aroylhydrazones: DNA/BSA Interactions, Hydrophobicity, and Cell-Selective Anticancer Potential, Inorganic Chemistry, 2021, 60, 15291–15309.
• 'Gurunah Sahu, Sushree Aradhana Patra, Pratikshya Das Pattanayak, and Rupam Dinda*, ‘Recent Advancement of Fluorescent Tin(IV) Complexes in Biomedical Molecular Imaging’ Chemical Communications, 2023, 59, 10188–10204.
• 'Gurunath Sahu, Kausik Sahu, Sushree Aradhana Patra, Deepika Mohapatra, Ravi Khangar, Swaraj Sengupta, and Rupam Dinda*, ‘Hydrolytically Stable TiIV-Hydrazone-based Metallodrugs: Protein Interaction and Anticancer Potential’ ACS Applied Biomaterials, 2023, 6, 12, 5360–5371

Education:

• B.E(Electrical & Electronics Engineering) from ANNA UNIVERSITY
• M.E(Power Electronics & Drives) from ANNA UNIVERSITY
• PhD from St.Peter’s Institute of Higher Education and Research

Specializations:

MACHINE LEARNING; DEEP LEARNING; POWER ELECTRONICS; ELECTRICAL DRIVES; ELECTRICAL MACHINES

Memberships:

'MISTE,MIET

Publications :

• 'Design and analysis of FGM post type spacer in a three phase common enclosure gas insulated busduct under delamination”published by Electric power systems research,2020
• 'Study of electrostatic field effect in a three phase gas insulated bus duct with FGM spacer under the effect of protrusion published by Journal of Electromagnetic Waves and Applications,2020
• 'Open-circuit fault resilient ability multi- level inverter with reduced switch count for off grid applications published by International Journal of Electrical and Computer Engineering(IJECE), Vol. 12, 03-Special Issue, 2022
• 'Monitoring and Prediction of Battery Life in Electric Vehicle: A Comparative Study” prediction using machine learning algorithm and published by Grenze International Journal of Engineering and Technology, 2023 June Issue.
• 'N Karthick, Madhukar Rao, Pavan Kumar, “Fault resilient ability of reduced switches of multilevel inverter for off grid applications” published by Iranian Journal of Science and Technology, Vol. 12, 2024

Education:

• B.Tech from JNTUH
• M.Tech from JNTUH
• PhD from KLEF

Specializations:

Photodetectors, Photocatalysis, Nano Material Synthesis, Solarcells

Publications :

• Morphologically controlled photodetector performance of molybdenum disulfide nanostructures
• Structural influence of strontium titanate nano cubes for photocatalytic dye degradation and electrochemical applications
• Development of Ag/SrTiO3 and Ag/SrTiO3/GO nanocomposites with superior photocatalytic and electrochemical characteristics for the environmental remediation of industrial dye

Education:

• Bachelor of Engineering from RGPV, Bhopal
• M. Tech. from C-DAC Mohali, Punjab
• PhD from NIT Raipur

Specializations:

'Artificial Intelligence, Computer Vision, Medical image analysis

Memberships:

'Associate member, Institute of Physics, London, UK

Publications :

• 'Resham Raj Shivwanshi, Neelam Shobha Nirala, “A Hybrid AI Method for Lung Cancer Classification Using Explainable AI Techniques”, Physica Medica : European Journal of Medical Physics. doi.org/10.1016/j.ejmp.2025.104985. (SCIE)
• 'Resham Raj Shivwanshi, Neelam Shobha Nirala, "Hyperparameter optimization and development of an advanced CNN-based technique for lung nodule assessment", Physics in Medicine & Biology 68.17 (2023): 175038. doi:10.1088/1361-6560/acef8c. (SCIE).
• 'Resham Raj Shivwanshi, Neelam Shobha Nirala, "Quantum-Enhanced Hybrid Feature Engineering in Thoracic CT Image Analysis for State-of-the-Art Nodule Classification: An Advanced Lung Cancer Assessment", Biomedical Physics & Engineering Express, 10 (4) (2024). doi:10.1088/2057-1976/ad4360 (ESCI).
• ' Resham Raj Shivwanshi, Neelam Shobha Nirala, "Implementation of an advanced lung nodule classification system using optimized ConvMixer and AdamW-based CNN architecture", 26th IEEE Conference - Signal Processing: Algorithms, Architectures, Arrangements, and Applications, 2023, doi:10.23919/SPA59660.2023.10274463. (Best Paper Presentation Award, in conference visit, Poland).
• 'Resham Raj Shivwanshi, and Neelam Shobha Nirala, "Parametric Analysis of CT-image-Preprocessing for Improved Performance of Post-Processing Operation", 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART). IEEE, 2021. doi: 10.1109/SMART52563.2021.9675309.

Education:

• B.E. from Jeppiaar Engineering College
• M.E. from SONA College of Technology
• PhD from National Institute of Technology, Tiruchirappalli

Specializations:

Intelligent Systems, Deep Learning, Machine Leaning, Autonomous Systems, Edge Computing, Software Defined Vehicles, Future Mobility

Publications :

• Kulandaivel Sindhumitha, Ramasamy Kandasamy Jeyachitra, Manochandar Subramaniyan, “Joint modulation format recognition and optical performance monitoring for efficient fiber-optic communication links using ensemble deep transfer learning,” SPIE- Optical Engineering, 61(11) 116103, 2022. [IF: 1.1]
• Sindhumitha Kulandaivel, R.K. Jeyachitra, “Combined image Hough transform based simultaneous multi-parameter optical performance monitoring for intelligent optical networks,” Elsevier- Optical Fiber Technology, 79 103357, 2023. [IF: 2.6]
• Sindhumitha Kulandaivel, R.K. Jeyachitra, “Experimental analysis of optical spectrum based power distribution analysis for intermediate node monitoring in optical networks using shallow multi-task artificial neural network,” Elsevier- Optical Fiber Technology, 88 104013, 2024. [IF: 2.6]
• Sindhumitha Kulandaivel, R.K. Jeyachitra, “Dual Stage Deep Learning Model for Multi-Parameter Optical Performance Monitoring and Optical Modulation Index Estimation for Radio over Fiber Systems,” Springer- Arabian Journal for Science and Engineering, 2025. Doi: https://doi.org/10.1007/s13369-024-09909-3. [IF: 2.6]

Education:

• B.Tech from Government College of Engineering, Amravati
• M.Tech from Veermata Jijabai Technological Institute, Mumbai
• PhD from Visvesvaraya National Institute of Technology (VNIT), Nagpur

Specializations:

Artificial Intelligence, Deep Learning, Machine Learning, Predictive Maintenance

Publications :

• Condition monitoring and fault diagnosis of induction motor
• Bearing fault diagnosis using time segmented Fourier synchrosqueezed transform images and convolution neural network
• Rolling element bearing fault diagnosis using supervised learning methods-artificial neural network and discriminant classifier
• Detection of broken rotor bar fault in an induction motor using convolution neural network
• The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development

Education:

• B.Tech from Acharya Nagarjuna University
• M.Tech from Acharya Nagarjuna University
• PhD from 'Indian Institute of Technology (Indian School of Mines) Dhanbad

Specializations:

Rectenna Design Systems, Rectifier Circuits, Frequency Selective Surface, Harmonic Suppression antennas, Antenna arrays.

Memberships:

Life Associate Member of IETE

Publications :

• 'Pattapu, Udayabhaskar, Rajasekhar Manda, and Sushrut Das. "A spurious free 2.45 GHz array antenna for energy harvesting applications." IETE Technical Review 41, no. 4 (2024): 410-419. https://doi.org/10.1080/02564602.2023.2276914
• 'Sreedhar, Jinka, Udayabhaskar Pattapu, Murla Bhumi Reddy, Suresh Dara, Krishna Kant Agrawal, Prakash Kumar, Jabir Ali, and Ahmed Alkhayyat. "Fuzzy RNN model-based classification of Alzheimer’s Disease and dementia using brain EEG signals." IEEE Transactions on Consumer Electronics (2025). DOI:10.1109/TCE.2025.3570375
• 'Pattapu, Udayabhaskar, and Sushrut Das. "Capacitive coupled circular patch antenna based rectenna systems for 5.8 GHz wireless power transfer applications." International Journal of RF and Microwave Computer‐Aided Engineering 31, no. 7 (2021): e22675.
• 'Pattapu, Udayabhaskar, and Sushrut Das. "A spurious-free 5.8 GHz circular patch antenna for rectenna applications." IETE Technical review 36, no. 5 (2019): 510-516.
• 'Udayabhaskar Pattapu and Sushrut Das, “A Frequency Selective Surface Loaded High Gain Slant Antenna for 2.45 GHz Rectenna Applications” Revue Roumaine Des Sciences Techniques- Serie Electrotechnique et Energetique,  vol. 63, no. 2, pp. 190-195 (2018) ISSN 0035-4066.

Education:

• B.Tech from JNTU/JBIET
• M.E. from UCOE/OU
• PhD from IIT Dhanbad

Specializations:

Machine Learning, Deep Learning

Memberships:

 ISTE, IEI, SDIWC

Publications :

• Target aware distributed coverage and connectivity algorithm for Wireless Sensor Networks
• Dynamic Mobile Charger Scheduling with Partial Charging Strategy for WSNs using Deep-Q-Networks
• Data Collection and Path Determination Strategies for Mobile Sink in 3D WSNs
• Joint wireless charging and Data Collection using Mobile Element for Rechargeable Wireless Sensor Networks
• Biometric systems based ATM security system

Education:

• Bachelor of Technology from JNTUH Hyderabad
• Master of Technology from JNTUH Hyderabad
• PhD from Birla Institute of Technology and Science Pilani

Specializations:

Electrical and Electronics Engineering; Control Systems; Power Electronics and Electrical Drives; Microgrid, smart grids, and modern power grid protection; Field Programmable Gate Array (FPGA) Implementation for Electric Grids

Memberships:

1. Life Member of Indian Society for Technical Education (ISTE)

2. Member, International Electrical and Electronics Engineering (IEEE)

3. Member , IEEE Power Energy Society

4. Member, IEEE Industrial Applications Society

Publications :

• 'N. Praneeth, et.al., “Finding Optimal Zone II Settings for Distance Relays in Coordination With Directional Overcurrent Relays Using QCQP Algorithm,” in IEEE Access, vol. 12, pp. 143658-143674, 2024, doi:10.1109/ACCESS.2024.3466557.
• 'Praneeth, et.al., Quadratic programming-based semi-deterministic approach to find optimal settings for the directional overcurrent relays with user-defined characteristics. Electr Eng 106, 7531–7550 (2024). https://doi.org/10.1007/s00202-024-02372-12
• 'N. Praneeth, et.al., "Coordinating Numerical Relays with Voltage-Time-Current Characteristics in DG Integrated Power Networks and Implementation using FPGA," 2024 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), Bengaluru, India, 2024, pp. 1-6, doi: 10.1109/ISGTAsia61245.2024.10876323.
• 'N. Praneeth, et.al, "Coordination of Numerical Relays with Adjustable Time-Voltage-Current Characteristics in Microgrids using SSA Algorithm with FPGA Validation," 2024 IEEE International Conference on Power System Technology (PowerCon), Kathmandu, Nepal, 2024, pp. 1-5, doi: 10.1109/PowerCon60995.2024.10870528.
• 'N. Praneeth et al., "Enhanced Coordination of FPGA-Based Numerical Relays with Fully Customized Time-Voltage-Current Characteristics for Microgrid Protection," 2024 23rd National Power Systems Conference (NPSC), Indore, India, 2024, pp. 1-6, doi: 10.1109/NPSC61626.2024.10986866

Education:

• B.Tech from West Bengal University of Technology
• M.Tech from National Institute of Technology, Shillong
• PhD from 'Indian Institute of Technology, Gandhinagar

Specializations:

Wearable Sensors, Neurodegenerative Diseases, Medical Devices, AI enabled devices, Signal Processing

Education:

• B.Tech from Jawaharlal Nehru Technological University Hyderabad
• M.Tech from Jawaharlal Nehru Technological University Hyderabad
• PhD from Malaviya National Institute of Technology Jaipur

Specializations:

Network Security, Intrusion Detection Systems, Machine Learning & Deep Learning, Edge Computing

Memberships:

MIEEE, LMISTE

Publications :

• Akuthota, Uday Chandra, and Lava Bhargava. “Transformer Based Intrusion Detection for IoT Networks." IEEE Internet of Things Journal. pp. 1-1, 2025, DOI: 10.1109/JIOT.2025.3525494.
• Akuthota, Uday Chandra, and Lava Bhargava. “The Role of Machine and Deep Learning Models in Modern Intrusion Detection Systems: A Comprehensive Review." Computers and Electrical Engineering 124, 2025: 110318. DOI: https://doi.org/10.1016/j.compeleceng.2025.110318.
• Akuthota, Uday Chandra, and Lava Bhargava. "Network intrusion classification for IoT networks using an extreme learning machine". Engineering Research Express. 6, no. 2, 2024, 025217. DOI: 10.1088/2631-8695/ad4cb5.
• Akuthota, Uday Chandra, and Lava Bhargava. "A Deep Learning Approach for the Detection of Intrusions with an Ensemble Feature Selection Method." SN Computer Science. 5, no. 7, 2024, 916.  DOI: https://doi.org/10.1007/s42979-024-03288-0.
• Akuthota, Uday Chandra, Abhishek, and Lava Bhargava. "A Lightweight Low-Power Model for the Detection of Plant Leaf Diseases."  SN Computer Science. 5, no. 4, 2024, 327. DOI: https://doi.org/10.1007/s42979-024-02658-y.

Education:

• BTech Computer Science and Engineering from National Institute of Technology , Jalandhar
• MS Software Systems from Birla Institute of Technology and Sciences

Specializations:

6G/5G Cellular Network Solutions, MIMO Radar Systems, IoT, Green & Human-Centered AI, AI for Telecom, Big Data Technologies, Cybersecurity and Mobile Security, ICT Policy Research and Digital Economics

Memberships:

American Astronautical Society (AAS Membership)

Publications :

• 'AVI Policy Brief 2019, Issue No. 16, December 23rd: ICT Policy & Regulations: How Cambodia can learn from India". Also included as a Book chapter in AVI CIDE Publication "Cambodia in Cyberspace"
• 'AVI Perspective Issue 2020, No. 10, August 14th: Submarine Cable Geopolitics". Also included as a Book chapter in AVI CIDE Publication "Cambodia in Cyberspace"
• 'Presented in ISS R&D Conference 2017 in Washington, USA "Designing MIMO based Optical Phased Array Solutions for Multi object Space Debris Detection and Tracking"
• 'Presented in ISS R&D Conference 2016 in San Diego, USA "Space Debris Detection & Tracking"
• IJSER, Volume 6, Issue 12, ISSN 2229-5518, December 2015 "Cooperative Communication with Uplink power control and Cognitive Radio using TV Whitespace network in Cellular Networks"