Ramachandran Kallankara is a visiting faculty member in Executive Education Programs at Mahindra University with deep experience in IT consulting for supply chain and analytics. Over his career, he has helped organizations across Asia design and implement demand and supply planning, sales and operations planning and procurement improvement initiatives, and has founded analytics-driven businesses serving manufacturing, retail, healthcare and HR clients

• PGDM, Indian Institute of Management Bangalore.
• B.Tech, Indian Institute of Technology Madras.

Ramachandran has designed and delivered supply chain capability development programs for senior, mid-career and early-career professionals, aimed at creating industry-ready supply chain talent and upskilling experienced executives. He has led consulting engagements in demand and supply planning, S&OP, procurement process improvement and product strategy for supply chain software, helping firms institutionalize data-driven decision making. His entrepreneurial work in building an end-to-end recruitment platform demonstrates his ability to integrate technology, analytics and business strategy.

• Visiting Faculty, Executive Education Programs, Mahindra University.
• Partner, ValueQwest, a boutique consulting firm in the supply chain domain.
• Founder and former CEO of a recruitment-platform company that integrated candidates and organizations on one digital platform, leading product roadmap, business strategy and customer acquisition.
• Early-career leader at Infosys, where he was a key contributor in setting up the Enterprise Solutions practice focusing on enterprise package services.
• Supply chain and analytics consultant for clients across Asia, including capability-building workshops and advisory projects.

Dr. Kaushik Ghatak is a visiting faculty member in Executive Education Programs at Mahindra University with more than 30 years of industry and academic experience across Asia-Pacific and North America. He is the Founder and Director of ValueQwest Pte. Ltd., Singapore, and works extensively with universities and corporations to build supply chain and analytics capabilities using experiential, simulation-based learning. He has held senior roles with SAP, Oracle, PwC Consulting and IBM, advising global clients on supply chain transformation and business performance improvement.

• PhD in Production and Operations Management, Indian Institute of Management Bangalore.

Dr. Ghatak designs and delivers executive programs in sustainable supply chain management, supply chain analytics and digital transformation, using business simulation games and data-driven decision-making exercises. He has driven capability development programs for leaders and managers in consumer products, retail, chemicals, infotech and industrial manufacturing across Asia and North America. He regularly collaborates with business schools and corporate universities to integrate real-world supply chain scenarios into curricula and executive workshops.

• Visiting Faculty, Executive Education Programs, Mahindra University.
• Founder and Director, ValueQwest Pte. Ltd., Singapore.
• Director Education (APAC), Inchainge, engaging university and corporate clients on supply chain simulation-based learning.​
• Chairperson, Supply Chain Leaders Group, EGN Singapore.​
• Advisor, Korn Ferry Digital and Principal Advisor, Ecosystm.​
• Earlier leadership and consulting roles with SAP, Oracle, PwC Consulting and IBM in supply chain, operations and technology domains.

Atul Nerkar is Jeffrey Allred Distinguished Scholar and Professor of Strategy & Entrepreneurship at the Kenan-Flagler Business School, University of North Carolina at Chapel Hill, and Visiting Faculty in Executive Education at Mahindra University. His work centers on how technology, innovation and entrepreneurship shape business and corporate strategy, with a particular emphasis on R&D-intensive industries such as pharmaceuticals, chemicals and optical media. Before joining UNC, he served on the faculty of Columbia Business School and as a visiting professor at the Wharton School, and earlier worked with the Unilever Group of Companies in India.

• PhD in Strategic Management, The Wharton School, University of Pennsylvania, USA.​
• MA in Managerial Science and Applied Economics, The Wharton School, University of Pennsylvania, USA.​
• Bachelor’s degree in Production Engineering, University of Bombay (now University of Mumbai), India.​
• MBA (International Business), Indian Institute of Foreign Trade (IIFT), New Delhi, India.

Prof. Nerkar has contributed to executive and degree programs globally, designing and delivering courses and custom programs on strategy formulation, strategic execution, innovation and entrepreneurship for a wide range of organizations. He brings to the classroom a blend of academic rigor and industry experience drawn from his work with Unilever and his collaborations with firms in pharmaceuticals, chemicals and technology-intensive sectors. His leadership as associate dean helped strengthen UNC’s Evening and Weekend Executive MBA programs serving working professionals.

• Jeffrey Allred Distinguished Scholar and Professor of Strategy & Entrepreneurship, UNC Kenan-Flagler Business School.​
• Visiting Faculty, Executive Education, Mahindra University.
• Former Associate Dean, Executive MBA Evening and Weekend Programs, UNC Kenan-Flagler.​
• Former faculty member, Columbia University Graduate School of Business.​
• Former visiting professor, Wharton School, University of Pennsylvania.

Dr. Venkatasubramanian K is a biomedical engineering researcher with 17+ years of experience in Brain–Machine Interfaces, EEG/EMG analysis, deep learning, and human–machine interaction systems. His work focuses on developing innovative methods for biosignal analysis with applications in eye disorder detection, driver alertness monitoring, and cognitive state assessment.

He holds a Ph.D. in Biosignal Processing from the University of Otago, New Zealand, and has completed a Postdoctoral Fellowship at Western University, Canada. His academic career includes positions at Amrita Vishwa Vidyapeetham, VIT Chennai, and Saranathan College of Engineering.

Committed to advancing health-focused technologies, he actively collaborates with researchers and mentors students passionate about innovation in biomedical signal processing and neurotechnology, and building embedded systems for healthcare

• 2021-2023 Post-Doc – Western University, London, Ontario, Canada
• 2017-2021 Ph.D. – Biosignal Processing – University of Otago, Christchurch, New Zealand
• 2000-2002 M.S – Electrical Engineering, University of Bridgeport, USA
• 1996-2000 B.E – Instrumentation and Control Engineering, Madras University

Publications

• N. A., Natraj, K., Venkatasubramanian, Pathak, Pankaj, Prabhu, Sandeep, S., Gopinath, An Investigative Analysis of PSO-Optimized Multiclassifier Ensemble for Reliable Breast Cancer Diagnosis, Applied Computational Intelligence and Soft Computing, 2025, 6709425, 17 pages, 2025. https://doi.org/10.1155/acis/6709425.
• Bhaumik, S., Venkatsubramanian, K., Varadharajan, S., Meenachinathan, S., Mavani, S., Florea, V., & Paleu, V. (2025). Industrial Internet of Things (IIoT)-Based Monitoring of Frictional, Vibration, and Sound Generation in Lubricated Automotive Chains. Technologies, 13(10), 465. https://doi.org/10.3390/technologies13100465.
• A. S. Vijay, A. V and K. Venkatasubramanian, “Smart and Effective Real-Time Management of Street Parking,” 2025 3rd International Conference on Smart Systems for applications in Electrical Sciences (ICSSES), Tumakuru, India, 2025, pp. 1-7, doi: 10.1109/ICSSES64899.2025.11009971.
• Savaram, K. Goutham and K. Venkatasubramanian, “Comparative Analysis of YOLO Models for RealTime Safety Helmet Detection to Enhance Construction Site Safety Using Raspberry Pi,” 2025 International Conference on Next Generation Communication & Information Processing (INCIP), Bangalore, India, 2025, pp. 513-518, doi: 10.1109/INCIP64058.2025.11019464.
• D. V. Prasad, M. V. S. Kartheek and K. Venkatasubramanian, “Smart Cradle: A Wi-Fi-Enabled Solution for Automated Infant Care,” 2025 International Conference on Next Generation Communication & Information Processing (INCIP), Bangalore, India, 2025, pp. 456-460, doi: 10.1109/INCIP64058.2025.11019373.
• S. K. Lokeshwaran, N. S. Lohith and K. Venkatasubramanian, “Intelligent Traffic Management System Using Real-Time Vehicle Detection and Dynamic Signal Control with Client-Server Architecture,” 2025 International Conference on Next Generation Communication & Information Processing (INCIP), Bangalore, India, 2025, pp. 582-586, doi: 10.1109/INCIP64058.2025.11019986.
• Y. Kushal, N. V. Datta and K. Venkatasubramanian, “Handheld Device for Medical Plant Identification by Using Deep Learning Integrated with IoT,” 2025 International Conference on Next Generation Communication & Information Processing (INCIP), Bangalore, India, 2025, pp. 507-512, doi: 10.1109/INCIP64058.2025.11019308.
• N. Govardhanan, K. Elangovan and K. Venkatasubramanian, “Real-Time Activity Classification Using Wearable Sensors: A Deep Learning Approach for Gait Analysis,” 2025 International Conference on Next Generation Communication & Information Processing (INCIP), Bangalore, India, 2025, pp. 576-581, doi: 10.1109/INCIP64058.2025.11020052.
• N. N. P. B, V. K and M. P, “Fall Detection for Elderly People Using RealSense Depth Camera,” 2025 3rd International Conference on Smart Systems for applications in Electrical Sciences (ICSSES), Tumakuru, India, 2025, pp. 1-6, doi: 10.1109/ICSSES64899.2025.11010062.
• K. Venkatasubramanian, A. K and L. E, “Piezoelectric-based Footstep Power Generation for Sustainability,” 2025 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), Chennai, India, 2025, pp. 1-6, doi: 10.1109/WiSPNET64060.2025.11005140.
• V. H. Vardhan, B. Senthilnaathan and V. K, “Comprehensive Stride Analysis Through Plantar Pressure,” 2025 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET), Chennai, India, 2025, pp. 1-6, doi: 10.1109/WiSPNET64060.2025.11005262.
• V. K and T. Y, “Precision Gaze Localization for Gaze Tracking,” 2024 First International Conference for Women in Computing (InCoWoCo), Pune, India, 2024, pp. 1-6, doi: 10.1109/InCoWoCo64194.2024.10863809.
• Krishnamoorthy, V.; Anitha John, A.; Bhaumik, S.; Paleu, V. Mapping Acoustic Frictional Properties of SelfLubricating Epoxy-Coated Bearing Steel with Acoustic Emissions during Friction test. Technologies 2024, 12, 30. https://doi.org/10.3390/technologies12030030
• V. Krishnamoorthy, R. Shoorangiz, S. J. Weddell, L. Beckert and R. D. Jones, “Deep Learning with Convolutional Neural Network for detecting microsleep states from EEG: A comparison between the oversampling technique and cost-based learning,” 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019.
• Tummala N., Venkatasubramanian K., Umamaheswari V. (2018) Embedded System for Classification of Upper Limb Movement During Action Using EEG. In: Thalmann D., Subhashini N., Mohanaprasad K., Murugan M. (eds) Intelligent Embedded Systems. Lecture Notes in Electrical Engineering, vol 492. Springer, Singapore.
• Indupuru Y., Venkatasubramanian K., Umamaheswari V. (2018) Design and Implementation of Smart Helmet Using Low Power MSP430 Platform. In: Thalmann D., Subhashini N., Mohanaprasad K., Murugan M. (eds) Intelligent Embedded Systems. Lecture Notes in Electrical Engineering, vol 492. Springer, Singapore.
• J, Umamaheswari.V, Venkatasubramanian. K, “A Microcontroller Based System to Measure and Analyze SSVEP in Humans”, 12th IEEE India International Conference – INDICON 2015, on Electronics, Energy, Environment, Communication, Computer and Control (E3-C3).
• Rohini, K. Venkatasubramanian, “Z-Wave based Zoning Sensor for Smart Thermostats”, Indian Journal of Science and Technology, Vol 8(20), IPL0195, ISSN (Print) : 0974-6846 ISSN (Online): 09745645 .
• Riya Roy, Venkatasubramanian. K, “EKG/ECG based Driver Alert System for Long Haul Drive”, Indian Journal of Science and Technology, Vol 8(19), IPL0138, ISSN (Print): 0974-6846 ISSN (Online): 09745645.
• Pradhan Suvendu Kedareswar, Venkatasubramanian. K, “An Intelligent Embedded Diagnostic System on CAN Protocol to Avoid Rear-End collision of Vehicles”, Indian Journal of Science.and Technology, Vol 8(19), IPL0124, ISSN (Print): 0974-6846 ISSN (Online): 0974-5645.
• Kedareswar, P.S.; Krishnamoorthy, V., “A CAN protocol based embedded system to avoid rear-end collision of vehicles,” in Signal Processing, Informatics, Communication, and Energy Systems (SPICES), 2015 IEEE International Conference on, vol., no., pp.1-5, 19-21 Feb. 2015.
• Varier, D.S.; Krishnamoorthy, V., “An electrooculogram based real-time system for measurement and analysis of visual stimuli for detecting strabismus and nystagmus,” in Advances in Computing, Communications and Informatics (ICACCI, 2014 IEEE International Conference on, vol., no., pp.11251130, 24-27 Sept. 2014.

• July 2023 – Nov 2025 – Associate Professor, Amrita Vishwa Vidyapeetham, Chennai Campus
• May 2012 – Dec 2016 – Assistant Professor (Sr.), Vellore Institute of Technology, Chennai Campus
• June 2005 – Dec 2011 – Senior Lecturer, Saranathan College of Engineering, Trichy

• Research focus is on Bio-Signal Processing, Embedded systems for health care, and automotive solutions.

Dr. Anjli Varghese is an Assistant Professor in the Department of Electrical and Computer Engineering at Ecole Centrale School of Engineering, Mahindra University. She received a PhD in 2024 from BITS Pilani, K. K. Birla Goa Campus, India, in the domain of Image Processing and Machine Learning for Automatic Identification of Animal Species from Leather Samples. She created and published the novel open-source leather image dataset (LeaData), a digital library for leather species prediction. Her research interests include digital signal processing, digital image processing, machine learning, and computer vision.

• Doctoral Degree (Ph.D.) in the Discipline of Electrical and Electronics Engineering from BITS-Pilani K. K. Birla Goa Campus, Goa, India (Jan 2019 – July 2024).
  Thesis Title: “Automatic Leather Species Identification using Digital Microscopic Image Analysis”.
• Master’s Degree (M.Tech.) in the Discipline of Signal Processing from Siddaganga Institute of Technology, Tumakuru, Karnataka, India (Aug 2016 – June).
  Thesis Title: “Improving License Plate Recognition Rate using Hybrid Algorithms for Real-Time Applications”.
• Bachelor’s Degree (B.E.) in the Discipline of Electronics and Communication Engineering from Sri Siddhartha Institute of Technology, Tumakuru, Karnataka, India (Aug 2012 – May 2016).

Journals

• Varghese A., Jawahar M. & Prince A.A., “LeaData a novel reference data of leather images for automatic species identification,” Scientific Reports, Nature, 15, 4493, 2025.
• Varghese A., Jawahar M., Prince A.A. & Gandomi A. H., “LBPMobileNet-based novel and simple leather image classification method,” Neural Computation & Application, 2025.
• Varghese A., Jain S., Jawahar M. & Prince A.A., “Auto-pore segmentation of digital microscopic leather images for species identification,” Engineering Applications of Artificial Intelligence, vol. 126, no. Part C, p. 107049, 2023.
• Varghese A., Jawahar M. & Prince A.A., “Learning species-definite features from digital microscopic leather images,” Expert Systems with Applications, vol. 224, no. March, p. 119971, 2023.
• Varghese A., Jain S., Jawahar M. & Prince A.A., “Digital Microscopic Image Sensing and Processing for Leather Species Identification,” IEEE Sensors Journal, vol. 20, no. 17, pp. 10045-10056, 2020.
• Varghese A., & Srikantaswamy R., “Improving License Plate Recognition Rate using Hybrid Algorithms,” Journal of Emerging Technologies and Innovative Research, Vol. 5, pp. 276-281, 2018.

Conferences

• Varghese A., Jawahar M. & Prince A.A., “Fine-tuning ConvNets with novel leather image data for species identification,” in 15th International Conference on Machine Vision (ICMV), Rome, Italy, SPIE, 2023, vol. 12701, p. 127010J.
• Varghese A., Jawahar M. & Prince A.A., “A Study on Deep Learning Models for Automatic Species Identification from Novel Leather Images,” in IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), Bali, Indonesia, IEEE, 2023, pp. 25-30.
• Varghese A., Jawahar M. & Prince A.A., “A Heterogeneous Ensemble Learning Approach for Leather Species Prediction,” in 5^th International Conference on Computer Communication and the Internet (ICCCI), Fujisawa, Japan, IEEE, 2023, pp. 20-26.
• Varghese A., Jawahar M. & Prince A.A., “Transfer Learning-based Rich Feature Analysis on Leather Images for Species Prediction,” in 10^th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, IEEE, 2023, pp. 301-305.
• Varghese A., Jawahar M., Prince A.A. & Gandomi A. H., “Texture Analysis on Digital Microscopic Leather Images For Species Identification,” in 9th International Conference on Soft Computing & Machine Intelligence (ISCMI), Toronto, Canada, IEEE, 2022, pp. 223-227.
• Varghese A., Jawahar M., Gupta P. & Prince A.A., “Adaptive Learning for Leather Image Pre-processing Using GAN,” in: Gupta, D., Bhurchandi, K., Murala, S., Raman, B., Kumar, S. (eds) Computer Vision and Image Processing (CVIP), Nagpur, India, 2022, Communications in Computer and Information Science, vol. 1776, Springer, Cham.
• Varghese A., Sowmya M. C. & Karjigi V., “Vowel Formant Transformation Techniques for Dysarthric Speech,” in 4^th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), Mysuru, India, 2019, pp. 174-178.
• Varghese A., & Srikantaswamy R., “Comparative Analysis of Vehicle Tracking Approaches,” in National Conference on Recent Trends in Electrical Sciences, 2018, pp. 8-12.

Open Source Data

• Varghese A., Jawahar M. & Prince A.A., (2024), LeaData: a novel reference data of digital microscopic leather images for automatic species identification [Dataset], Dryad.

• Jan 2026 – Present: Assistant Professor in the Department of Electrical and Computer Engineering at Mahindra University, Hyderabad, Telangana, India.
• July 2018 – Dec 2018:  Junior Research Fellow in the Department of Electronics and Communication Engineering at Siddaganga Institute of Technology, Tumakuru, Karnataka, India. Worked on a SERB-DST-funded project on the analysis of dysarthric speech signals using the vowel formant transformation technique.

• Dr. Anjli Varghese received the 4-year Fellowship Award from the Tata Consultancy Services-Research Scholar Program (TCS-RSP), Cycle-15 (July 2019 – June 2023), for the project entitled “Automatic Leather Species Identification using Digital Microscopic Image Analysis.”
• She is interested in extending research on AI applications for microscopic and biomedical image analysis and stock market data analysis.

Dr. Sreedevi Polpakkara is an Assistant Professor of Linguistics at the Department of Humanities and Social Sciences, École Centrale School of Engineering, Mahindra University. She holds a Ph.D. in Applied Linguistics from the University of Hyderabad.

Dr. Sreedevi’s interests include cognitive linguistics, cultural linguistics, Metaphors and conceptualizations, Syntax-semantics interface, Functional categories

• Ph.D. Applied Linguistics – University of Hyderabad, India
• B.A. Communicative English – M.G. University, India
• M.A. Linguistics – University of Hyderabad, India
• M.phil Linguistics – University of Hyderabad, India

• “Motion Event Typology” in mRNA. Volume 4, Issue 6&7, September-October 2015, pp. 36-41.ISSN 2319-2747

• “The Structure of Spatial Relators in Malayalam” in Language in India. Volume 17:4 April 2017. pp. 216-232. ISSN 1930-2940

• Language Data analyst| krita.ai
• Guest Faculty | University of Hyderabad
• Freelance soft-skill trainer| Verizon Data Services via C-School consultancy
• Language facilitator | Ananya learning center for autism and learning disabilities
• Program co-ordinator| Lohit Youth Library Movement, Arunachal Pradesh

Areas of interest:

• Conceptual Metaphors in grammaticalizations
• Cognitive semantics
• Spatial and temporal categorization in languages
• Cultural linguistics
• Sociolinguistics
• Semantics

Professor V Nagadevara was honoured by the Project Management Institute (PMI) at the award ceremony held on December 9, 2011 at the Research and Academic Conference 2011 organized by PMI and hosted at NICMAR, Pune. Dr Nagadevara received the PMI Distinguished Scholar Award for his noteworthy contribution to project management education training, research and consultancy.

Project Management Institute, as the world’s leading professional membership organization for project managers, shares knowledge with more than 500,000 members and credential holders in over 185 countries. Since 1969, PMI has impacted more than one million practitioners, businesses, governments, students and training organizations. Today, PMI’s products and services range from world-class standards for project, program and portfolio management to five professional credentials, including the gold standard Project Management Professional (PMP®). PMI’s exclusive Global Corporate Council and European Corporate Networking Group engage large multinationals and government organizations in endorsing the value of project management. The only project management association with an established academic research program, PMI has invested more than US$14 million in support of dozens of research projects since 1997.

Dr Vishnuprasad Nagadevara is a faculty member of the Quantitative Methods & Information Systems area at IIMB. He joined IIMB in 1976. He is a graduate from Agriculture College, Bapatla. He did his Post Graduation at GB Pant University of Agriculture and Technology and obtained his Doctorate from Iowa State University, USA, in Economics and Operations Research. He also worked at Iowa State University. His current interests are Data Mining techniques and applications; application of Operations Research Techniques, Project Management, Project Evaluation and Information Technology Applications.

Dr Nagadevara has carried out many research and consultancy projects for various organizations such as UNDP, NABARD, Government of India, Central Silk Board, Government of Karnataka, Karnataka Housing Board, NCDC, WIPRO, PSC, POWERGRID, ETA (UAE), Wise Scope Technologies (UAE) etc.

Dr. Nagadevara has published a number of articles in India and abroad on Data Mining, Application of Statistical Methods and Operations Research Techniques. He also participated and presented papers in national and international conferences. He was a Volume Editor for the book “Operations Research Methods for Agricultural Decisions”, published by Iowa State University Press.

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• MUBEEN RAFAT, M.M.S. (JBIMS).
• Former Director – Centre for Economics & Finance, Administrative Staff College of India.
• Independent Director on the Board of VST Industries Ltd. (2014-19)
• She did her Master’s in Management Studies from Jamnalal Bajaj Institute, Mumbai University, with a specialization in Finance. She has over three decades of experience in industry and academics.
• Industry Work Experience – She started her career in the Treasury Department of National Organic Chemical Industries Ltd, Mumbai. She was heading the Finance and Accounting function at Intergraph Consulting Private Ltd, Hyderabad, a wholly owned subsidiary of Intergraph Corporation USA.
• Executive Education (Corporate) – She has been training corporate executives in the areas of Corporate Finance, Corporate Restructuring, Mergers & Acquisitions Performance Measurement, Corporate Governance, Resource Mobilisation, Working Capital Management, Accounting Standards and Corporate Valuation. She has trained more than 5000 executives in various companies such as L&T, ACC, TCS, NEC Corporation, Indus Towers, MRF, Bridgestone, Crompton Greaves, ONGC, HPCL and NTPC.
• She has been training and consulting with Board level directors and top management of Public Sector Enterprises in improving their Corporate Governance Practices. She has also consulted with women entrepreneurs on developing sustainable business models and business valuation.
• Executive Education (Banking & Financial Services) – She has trained nearly 500 bankers on the strategic and risk management aspects of banking. Some of the banks with whom she has trained are – Reserve Bank of India, State Bank of India, Bank of India, Canara Bank, Karur Vysya Bank, Bank of India, Central Bank of India, UCO Bank, United Bank, Punjab National Bank and Oman International Bank. She has conducted a programme on Marketing of Cash Management Solutions for Vysya Bank.
• Executive Education (Government) – She has trained nearly 300 IAS officers in the areas of Project Finance, Infrastructure Finance and Public Private Partnerships.
• Visiting Faculty – She has been a visiting faculty at Indian School of Business and Reserve Bank Staff Training College.

• She has published several articles in the areas of capital market and the financial services industry in India

Dr. Pradeep Kumar Rai is an Associate Professor of Mathematics at Ecole Centrale School of Engineering, Mahindra University. He received his Ph.D. in Mathematics from Harish-Chandra Research Institute, Allahabad in 2015. Later he worked as a PBC Post-Doctoral Fellow in Bar-Ilan University, Israel (2015-2017). Prior to joining Mahindra University he held the position of INSPIRE Faculty at Harish-Chandra Research Institute, Prayagraj (2019-2021) and Indian Institute of Technology Patna (2017-2019). His area of research is Group Theory. His Ph.D. thesis is about the automorphisms of groups. It studies class-preserving automorphisms, and prime power groups having abelian automorphism group. His more recent work is about second cohomology group of prime power groups. These works have been published in journals such as Journal of Algebra, Journal of Pure and Applied Algebra, International Journal of Algebra and Computation and others.

• Ph.D. in Mathematics: Harish-Chandra Research Institute, Allahabad
  December 2014 (Submission), August 2015 (Defense).
• M.Sc. in Mathematics: Indian Institute of Technology Bombay, June 2008.
• B.Sc. in Mathematics & Computer Applications: Ewing Christian College, University of Allahabad, June 2006.

• Pradeep K. Rai, Bounds on the order of the Schur multiplier of finite p-groups, Journal of Pure and Applied Algebra, Volume 228, Issue 1, January 2024, 107463.
• Pradeep K. Rai, Bogomolov multiplier of Lie algebras, Linear Algebra and its Applications, Volume 672, (2023), 122-133.
• Pradeep K. Rai, On the occurrence of elementary abelian p-groups as the Schur multiplier of non-abelian p-groups, Comptes Rendus Mathematique, Volume 361 (2023), 803-806.
• Pradeep K. Rai, On Bogomolov multiplier and $\Sha$-rigidity of groups, Journal of Algebra, Vol. 534 (2019), 384-391.
• Pradeep K. Rai, On the dimension of the Schur multiplier of nilpotent Lie algebras, Communications in Algebra, Vol. 47 (2019), 3982-3986.
• Pradeep K. Rai, On the classification of groups having Schur multiplier of maximum order II, Archive der Mathematik (Basel), Vol 111 (2018), 129- 133.
• Pradeep K. Rai, On Schur multiplier of special p-groups, Journal of pure and applied algebra, 222 (2018), 316-322.
• Pradeep K. Rai, A Note on the order of the Schur multiplier of p-groups, International Journal of Algebra and Computation, Vol 27 (2017), 495-500.
• Pradeep K. Rai, On the classification of groups having Schur multiplier of maximum order, Archive der Mathematik (Basel), Vol 107 (2016), 455-460.
• Pradeep K. Rai, On nilpotency of a group of outer class-preserving automorphisms of groups, Journal of Algebra and its Application, Vol 15 (2016).
• Pradeep K. Rai, On commuting automorphisms of finite p-groups, Proc. Japan Acad. Ser. A Math. Sci, Vol 91 (2015), 57-60.
• Pradeep K. Rai and Manoj K. Yadav, On $\Sha$-rigidity of groups of order p 6, Journal of Algebra, Vol 428 (2015), 26-42.
• Pradeep K. Rai, On IA-automorphisms that fix the center elementwise, Proc. Indian acad. Sci. (Math. Sci.), Vol 124, No.2 (2014), 169-173.
• Pradeep K. Rai, On class-preserving automorphisms of groups, Ricerche Mat., Vol 63 (2014), 189-194.
• Vivek K. Jain, Pradeep K. Rai and Manoj K. Yadav, On finite p-groups with abelian automorphism group, International Journal of Algebra and Computation, Vol 23, No.35 (2013), 1063-1077.

Google Scholar Profile: https://scholar.google.com/citations?user=z3OJ8pUAAAAJ&hl=en

• Associate Professor, August 2023 to Present, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India.
• Assistant Professor, August 2021 to July 2023, Ecole Centrale School of Engineering, Mahindra University, Hyderabad, India.
• DST-INSPIRE Faculty, Sept 2019 to July 2021, Harish-Chandra Research Institute, Allahabad, India.
• Visiting Position, October 2018 to July 2019, Indian Institute of Science Education and Research Mohali, Punjab, India.

• DST-INSPIRE Faculty, July 2017 to August 2019, Department of Mathematics, Indian Institute of Technology Patna, Bihar, India.

• PBC Post-Doctoral Fellow, October 2015 to June 2017, Department of Mathematics, Bar-Ilan University, Ramat Gan, Israel.

• Finite Group Theory: Prime power groups, their automorphisms and Second cohomology groups.