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:

Mechanical Engineering with specialization in robotics from VRCE, Rashtrasant Tukadoji Maharaj, Nagpur;  University, India; Post Graduate research diploma from University of Hull
PhD from University of Hull

Specialisation:
The goal of the research project is to use mechanical engineering
tools to solve medical problems that is to measure, design, analyze and
manufacture a laboratory lumbar spine and intervertebral disc with artificial
muscles providing motion that can be used for spinal instrumentation.

Research:
Swamy A and Swamy A (2012), Dorsal approach for dorsal complex metacarpophalangeal

• Swamy A and Swamy A (2012), Dorsal approach for dorsal complex metacarpophalangeal
• dislocation of index finger, Jordan Medical Journal, Part of ISSN: 04469283.
• Abidin S, Swamy A, Ramirez-Asis E et al. (2021), "Quantum Cryptography techniques: a way
  to improve security challenges in mobile cloud computing", Materials today:
  Proceedings, ISSN:2217853.
• B. Singh, A. Swamy, S. Khurram, R. Regin, S. K. S and P. Poonkuzhali, (2021) "Detection and
  Localization of Early-Stage Lung Tumor Using K-Means Clustering and Object Counting,"
  2021 2nd International Conference on Smart Electronics and Communication (ICOSEC),
  2021, Proceedings of IEEE, pp. 1641-1644, doi: 10.1109/ICOSEC51865.2021.9591798.
• Swamy A, (2022), "An investigation into the efficient Engineering study using Project based
  Learning", Journal of Positive School Psychology, 2022, Vol. 6, No 5, 6291 - 6297. ISSN:
  2717 to 7564. doi: https://journalppw.com/index.php/jpsp/article/view/8072
• Swamy A and Achanta CR (2022),.’Design and development of innovative integrated
  technology for endoscopic surgeries’. Neuro Quantology: An interdisciplinary journal of
  neuroscience and Quantum physics. September 2022, Vol 20 (11): 2389 – 2398: doi:
  10.14704/nq.2022.20.11.NQ66236
  or
  https://www.neuroquantology.com/open
  access/Design+and+Development+of+Innovative+Integrated+Technology+for++Endoscop
  ic+Surgeries_8846/

Memberships:
• Institute of Electrical and Electronics Engineering membership – id: 94523855 (Unto 12/2025)
• American Society of Mechanical Engineering Professional Membership – id: 2211880 (Unto 12/2024)
• American Society for engineering Education Professional Online membership – id: 190380 (142201) (Unto 12/2024)

Education:

M.Tech, JNTUH,

Specialisation:

Computer Networks & Information Security

Research:

Using Deep Learning for Malware Detection, Using AI for Securing IOT Devices, Using AI & Deep Learning for Self-Driving Cars.

Publications:

1. https://www.jatit.org/volumes/Vol101No21/10Vol101No21.pdf
2. https://jazindia.com/index.php/jaz/article/view/1985

Courses Taught:
Python,  Java,  C, Full Stack Development, Web Technologies, Linux Programming

Education:

M.Tech in Information Technology - Jawaharlal Nehru Technological University Campus, Hyderabad; M.S in Computer Science & Engineering with the specialization in Artificial Intelligence from Rovira i Virgili University; Ph.D. degree in Computer Science and Engineering from the Rovira I Virgili University

Research:

Artificial Intelligence, Multi agent systems, Swarm robotics, Swarm Intelligence, Data Mining, Data Analytics, Machine Learning. Soft computing and Nature Code.

Publications:

1. https://ieeexplore.ieee.org/document/7347787.
2. https://www.researchgate.net/profile/Purushotham-Muniganti

Education:

Ph.D. and M. Phil. in English and Comparative Literature, Central University of Kerala

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. https://thinkindiaquarterly.org/index.php/think-india/article/view/9776
2. https://ntm.org.in/languages/english/NewTT-vol12n2.aspx
3. https://www.bodhijournals.com/pdf/spl/November2018/Bodhi_V3S2.pdf

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

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.

Memberships:
Hyderabad FinTech Forum

Education:
Postdoc in South Asian Studies, Kyoto University, Japan, Ph. D. in History, JNU, Delhi

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. State Formation, Legitimacy and Society in Medieval Orissa, 2023 [Book]
2. Kingdom at the Crossroads: Geopolitics of the Khurda Kingdom in Early Modern Orissa, Journal of South Asian Studies, Vol. 3 (01), 2015
3. State Formation in Early Modern Orissa: Ecology and Geopolitics in Sambalpur     Kingdom, Journal of South Asian Studies, Vol.20-2, 2014

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

Education: 
Ph.D. in Materials Engineering, Chungnam National University, South Korea

Research: 
Thin Films, Nanotechnology, Energy Harvesting, Optoelectronic Devices and Biomedical Applications 

Publications:
1. https://www.scopus.com/authid/detail.uri?authorId=58838934400

Courses Taught:
Engineering Physics, Nano Materials and Technology,  Advanced Functional Materials Principles of Electrical  and Electrical Engineering

Education:

Ph.D. Marketing Management, University of Pune; MBA Biotechnology Marketing, University of Pune; MSc Biotechnology, University of Pune

Specialisation:

Marketing Management, Marketing Strategy, Sales Management, Data Analytics and Visualization

Research:

Business Strategy, Marketing Strategy, Consumer Behavior, International Business

Courses Taught:

Marketing Analytics, B2B Marketing

Education:

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

Specialisation:

Finite Element Analysis, 3D Modelling & Structural/Dynamic Analysis

Research:

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

Courses Taught:

Design Analysis of Algorithms, Intelligent Machines, Software Engineering, Artificial and Computational Intelligence, Machine Learning Deep Learning

Education:

PhD 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://www.frontiersin.org/articles/10.3389/fphy.2021.690588/full;
2. https://www.emerald.com/insight/content/doi/10.1108/WJE-08-2021-0468/full/html;
3. https://www.emerald.com/insight/content/doi/10.1108/WJE-02-2023-0039/full/html

Courses Taught:

Basic Electrical and Electronics Engineering

Education:
Ph.D. in Electrical Engineering, CTAE, MPUAT, Rajasthan, Master's in Instrumentation & Control, NITTTR, Chandigarh

Specialisation:
Power System

Research:
Energy Storage, Demand Side Management, Electric Vehicle Integration, Integration of Distributed Energy Resources, Smart Grid

Publications:
1. https://link.springer.com/chapter/10.1007/978-981-10-0129-1_63,
2. https://ieeexplore.ieee.org/document/9183349,

Courses Taught:
Basic Electrical and Electronics Engineering, Internet of Things

Education:
Ph.D. (Submitted, waiting for Viva) from Department of English & Comparative Literature, Central University of Kerala, MA English from MG University, UGC NET

Specialisation:
English Language and Literature, Cultural Studies, English Language Teaching

Research:
Modernity Studies, Digital Humanities

Publications:
1. https://doi.org/10.18848/2327-008X/CGP/v18i02/131-151,
2. https://journals.eltai.in/index.php/jelt/article/view/JELT580502

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

Education:

Ph.D. in Electrical Engineering (Instrumentation and Control)

Research:

Biomedical Instrumentation, Signal Processing, Embedded Systems and Robotics

Publications:

1. https://doi.org/10.1080/09720502.2020.1721709
2. https://doi.org/10.1109/ICMIRA.2013.65
3. Pages 214-233 ISSN 0976-6499

Courses Taught:

Renewable Energy, ROS, Smart Materials and Structures, and Microprocessor, Microcontrollers, and its Applications

Education:
Ph.D. in Mechanical Engineering(Submitted) ; MBA in Finance

Research:
Surface coatings; Magnetron sputtering; Metal matrix composites; Nanoindentation; Atomic Force Microscopy; Drop Shape Analysis, X-Ray diffraction.

Publications:
1. https://doi.org/10.1016/j.jallcom.2022.166802
2. https://doi.org/10.1116/6.0003022
3. https://doi.org/10.1007/s11665-023-08894-2

Courses Taught:
At woxsen: Manufacturing Science and Technology

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.

Research:

AI,Machine Learning , Deep Learning, Networks, Sensors

Courses Taught:

Computer Organization, Operating Systems

Education:

Ph.D.

Research:

IOT-ML, Spatio-temporal prediction fusing graphs and inherent physics, Applied Block Chain technology, Claimate prediction with AI.

Education:
Ph.D.

Research:
Social Network Analytics, Big Data, AI/ML, Text Mining

Education:
Ph.D.
 
Research:
Social Network Analytics, Big Data, AI/ML, Text Mining

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

Teaching Interest:
Information Security Foundation, Cryptography, Malware Analysis, Computer security Audit and Assurance,  Cloud Security, Multimedia Security, Cryptosystems, Blockchain, Cyber attacks Detection and prevention systems, Python.

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:
B.Tech(CSE) from JNTU-Hyderabad; M.Tech(CSE) from Kakatiya University; PhD from Kalinga University

Specialization:
Computer Science and Engineering (IoT, Networks,Cloud Computing, Fog and Edge Computing and AIML)

Research:
• 'Enhanced Network Connectivity with Deep Learning Enabled Privacy Preserving Mechanism for Cluster based Internet of Things" has been successfully submitted and is being delivered to the Editorial Office of International Journal of Intelligent Systems for consideration.(SCIE JOURNAL)
• 1)Internet of things and wearables-enabled Alzheimer detection and classification model using stacked sparse autoencoder” Wearable Telemedicine Technology for the healthcare Industry 2022, Pages 153-168 January 2022 https://doi.org/10.1016/B978-0-32385854-0.00012-5 (Scopus indexed book chapter)
• “DCMM: A Data Capture and Risk Management for Wireless Sensing Using IoT Platform”, Human Communication Technology: Internet of Robotic Things and Ubiquitous Computing, Wiley,01 November 2021, https://doi.org/10.1002/9781119752165.ch16 (Scopus indexed book chapter)
• “Multi-layer perceptron's neural network with optimization algorithm for greenhouse gas forecasting systems”. Environmental Challenges-Elsevier, Volume 11, April 2023, DOI: https://doi.org/10.1016/j.envc.2023.100708 (SCOPUS Indexed Journal).
• “A Gradient Boosted Decision Tree with Binary Spotted Hyena Optimizer for cardiovascular disease detection and classification” Healthcare AnalyticsElsevier , Volume 3, pp. 1-11 April 2023, 10017 ,DOI: https://doi.org/10.1016/j.health.2023.100173(SCOPUS Indexed Journal).
• Road Identification Through Efficient Edge Segmentation Based on Morphological Operations” Traitement du Signal . Oct 2021, Vol. 38 Issue 5, p1503-1508. 6p. DOI:10.18280/ts.380526 (SCIE & SCOPUS Indexed Journal).

Memberships:
1)The Indian Society for Technical Education (ISTE)-LM 126060
2)Indian Computer Science and Engineering Society (ICSES) - (Member Id-4043)
3)Institute of Research Engineers and Doctors -Senior Member (UACEE)-SNM10100059470
4)Data Science Association USA
5)Italian Association for Machine Learning (Member Id-1371)
6)International Association of Engineers (IAENG)- (Member Id-223868)
7)Institute of scholars, professional member id: InSc20200311
8)Fellow Member of Eudoxia Research University (FMERU)
9)International Association of Research and Developed Organization (IARDO)

Education:
BTECH from Musaliar College of Engineering and Technology; MTECH from TKM Institute of Technology; PhD from Presidency University Bangalore

Specialization:
Computer Science and Engineering, Artificial Intelligence ,Data Science, Machine Learning, Deep Learning, Multicriteria Decision Making

Research:
Thasni T, C Kalaiarasan, K A Venkatesh,” Cloud Service Provider Selection using Fuzzy Data Envelopment Analysis based on SMI Attributes”, International Journal of Fuzzy System Applications (IJFSA), IGI Global Publishers, Scopus and SCI, Volume 11(4),2022.

Thasni T, C Kalaiarasan, K A Venkatesh, “Cloud Provider Selection Based on Accountability and Security Using Interval-Valued Fuzzy TOPSIS”, International Journal of Decision Support System Technology (IJDSST), IGI Global, SCI and Scopus Indexed, Volume 14(1),2022

Thasni T, C Kalaiarasan, K A Venkatesh ,"SMI Attributes: Key role in business as a service in Cloud", Inder Science Publishers -International Journal of Intelligence and Sustainable Computing (IJISC) ,H Index -17, 2021,ISSN 2517-7648, Vol.1 No.2, pp.194 – 2021

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 from Maharshi Dayanand University Rohtak / Lingayas Institute of Management and Technology; M.Tech from IIT Bombay; PhD from Incheon National University - South Korea

Specialisation: 
Resistive random Access Memory (RRAM); Binary Neural Network; Semiconductor Process Technology, Microfabrication; Thin film fabrication and technology; MOSFET; 2D materials; Sensors; Physical and chemical characterization of thin films

Publications:
1. A. Kumar, M. Krishnaiah, J. Park, D. Mishra, B. Dash, H.-B. Jo, G. Lee, S. Youn, H. Kim, S. H. Jin, Multibit, Lead-Free Cs2SnI6 Resistive Random Access Memory with Self-Compliance for Improved Accuracy in Binary Neural Network Application. Adv. Funct. Mater. 2024, 34, 2310780. https://doi.org/10.1002/adfm.202310780
2. Ajit Kumar, Mokurala Krishnaiah, Dhananjay Mishra, Hyeonbin Jo, Sung Hun Jin, Role of IGZO thickness for oxygen reservoir control in stacked IGZO/ZrOx layers: Towards reliable, uniform performance of flexible random-access memories, Journal of Alloys and Compounds, Volume 922, 2022, 166199, ISSN 0925-8388, https://doi.org/10.1016/j.jallcom.2022.166199.
3. M. Krishnaiah, S. Kim, A. Kumar, D. Mishra, S. G. Seo, S. H. Jin, Physically Detachable and Operationally Stable Cs2SnI6 Photodetector Arrays Integrated with µ-LEDs for Broadband Flexible Optical Systems. Adv. Mater. 2022, 34, 2109673. https://doi.org/10.1002/adma.202109673

Education:
B.Tech In Electronics And Communication Engineering; M.Tech In VLSI Design from Amrita School Of Engineering; Phd from Amrita School of Engineering

Specialisation: 
Wireless Energy Harvesting for Advanced 5G and 6G Communications, Applications of Machine Learning and Deep Learning in Wireless Communications and Bio Signal Processing, VLSI Systems for Signal Processing

Memberships: 
Senior Member IEEE (SMIEEE), Fellow of IETE (FIETE), and Life Member of ISTE (LMISTE)

Publications:
1. Karthika M S, Harikumar Rajaguru, Ajin R. Nair, "Performance Enhancement of Classifiers Through Bio Inspired Feature Selection Methods for Early Detection of Lung Cancer from Microarray Genes", Heliyon,
2. 'Ajin, R Nair, Harikumar Rajaguru, Karthika M S, Keerthivasan, "Metaheuristic integrated machine learning classification of colon cancer using STFT LASSO and EHO feature extraction from microarray gene expressions". Scientific Reports, Springer Nature, Vol.14, 16485 (2024).
3. Karthika M S, Harikumar Rajaguru, Ajin R. Nair, "Wavelet feature extraction and bio-inspired feature selection for the prognosis of lung cancer − A statistical framework analysis", Measurement: Journal of the International Measurement Confederation, Elsevier, Vol.238,115330,ISSN 0263-2241, doi:

Education:
B.Tech from BPUT ; M.Tech from BPUT ; PhD (in progress) National Institute of Technology

Specialisation:  
6G, IoT, URLLC, Cooperative Communication, Wireless communication, Signal Processing, Machine Learning.

Publications:
1. A. Pradhan, S. Das, and M. J. Piran, "Blocklength Optimization and Power Allocation for Energy-Efficient and Secure URLLC in Industrial IoT," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3324379.
2. A. Pradhan, S. Das, M. J. Piran, and Z. Han, "A Survey on Security of Ultra/Hyper Reliable Low Latency Communication: Recent Advancements, Challenges, and Future Directions," in IEEE Access, doi: 10.1109/ACCESS.2024.3429285.
3. A. Pradhan, S. Das, G. R. Mati, and A. Oscar Xalxo, "Deep Learning-based LOS/NLOS Classification for Reliable Communication in Industrial IoT," 2024 IEEE 9th International Conference for Convergence in Technology (I2CT), Pune, India, 2024, pp. 1-6, doi: 10.1109/I2CT61223.2024.10543298.